Women’s mental health in the perinatal period according to migrant status: the French representative ELFE birth cohort

Women’s mental health in the perinatal period according to migrant status: the French... Abstract Background Mental health problems in the perinatal period are common. We examined associations between different categories of migrant status and region of origin in relation to mental health during pregnancy and at 2 months post-partum. Methods We analyzed data from the French nationally representative Etude Longitudinale Française depuis l'Enfance birth cohort (n = 17 988). Migrant status was divided into five categories: ‘majority population’, ‘descendants with one migrant parent’, ‘descendants with two migrant parents’, ‘naturalized migrant’ and ‘non-naturalized migrant women’. Multivariate logistic regression models were implemented to examine associations between migrant status and mental health outcomes: persistent psychological difficulties during pregnancy as well as mother’s depression and poor self-reported health at 2 months post-partum. Results After adjusting for covariates, migrant status was not associated with psychological difficulties during pregnancy. Descendants of migrants had comparable mental health to the majority population. Non-naturalized migrant women were more likely to experience depression (odd’s ratio (OR)= 1.66, 95%confidence interval (CI): 1.27, 2.20) and poor self-reported health (OR = 1.45, 95%CI: 1.06, 1.98) during the post-partum period. The region of origin was associated with post-partum health independently of migrant status, such that women from Africa and Turkey were most likely to have depression or poor self-rated health. Conclusion First, but not second, generation migrant women appear to have high levels of mental health difficulties during the post-partum period. Women from North Africa, Sub-Saharan Africa, and Turkey have higher levels of distress than those from other regions. In particular, non-naturalized migrant appear to be a vulnerable group; they may disproportionately face stressors that increase their risk for post-partum depressive symptoms. Introduction The perinatal period is fraught with socio-emotional, practical and hormonal changes and challenges that make women susceptible to mental health problems: approximately 20% experience depression in the antenatal period or in 3 months following childbirth.1–3 Maternal mental health in the perinatal period has important consequences for women and their children; therefore it is essential to understand the associated risk and protective factors. In western countries, migrant women or those who descend from migrant parents are generally more prone to poor mental health than the majority population4 or those who stay in the country of origin.5 A recent meta-analysis reported that migrant women are two times more likely to experience depressive symptoms after giving birth than non-migrant women.6 However, this review included little data from European countries and was limited by the lack of a clear and standardized definition of migrant status. Indeed, in most studies, migrant status is conceptualized as a binary variable (foreign born vs. native born or White vs. ethnic minority), and neither second generation migrants nor geographic origins are accounted for.7,8 This is problematic as migrant communities in Europe are diverse. Across European countries, there is also heterogeneity in the policies and services available to migrants, as well as their level of exposure to racism and discrimination.9,10 In France, in 2014, 11% of the population had at least one migrant parent (born not in France and non-French),11 with 13.3% of new-borns having a migrant mother.12 Also, approximately 9% of residents of France are migrant, among them about 37% were born in Europe and 44% in Sub-Saharan or North Africa.13 Mental health problems in the perinatal period among migrant women may be explained by socio-economic factors,14 but also an impaired adaptation to the surrounding environment.15,16 However, this susceptibility is probably different between first and second generation migrants.17 Further, mental health among women of migrant descent (second generation) could differ depending on whether they have one or two migrant parents,18 as well as their region of origin. The same applies to first generation migrants; there could be differences in coping with the challenges of the perinatal period and associated mental health problems between naturalized and non-naturalized women. To our knowledge, these differences have not been adequately examined. In this study, we examine whether mental health during the perinatal period differs according to women’s migrant status. Thus, we studied the association between migrant status, region of origin and mental health indicators during pregnancy and at 2 months post-partum, adjusting for socio-demographic and economic characteristics, using data from the French nationally representative ELFE birth cohort study. Methods Study design ELFE is an ongoing prospective, longitudinal nationally representative French study (www.elfe-france.fr).19 Participants A total of 17 988 mothers and their infants born in 2011 (n = 18 275) were initially recruited in a representative random sample of 320 maternity wards throughout metropolitan France on a number of pre-selected days throughout the year (four waves: April; June to July; September to October; November to December). To be included, women had to be at least 18 years of age, plan on staying in metropolitan France for the following 3 years and be capable of giving informed consent in one of the study languages (French, English, Arabic and Turkish). Also, only single or twin births, born at or after 33 weeks gestation, were included. Data sources At birth, eligible mothers were interviewed by mid-wives via face-to-face interviews at the maternity ward of delivery. Additionally, study participants completed a self-reported questionnaire (n = 17 988). The second stage of data collection took place about 2 months after the child's birth, through telephone interviews with the mother with a response rate of 91% (n = 16 280) and the father, if the mother participated (n = 12 511). Indicators of mental health We considered three different outcome variables: at the time of the child’s birth, women were asked whether they experienced persistent psychological difficulties during pregnancy (yes vs. no). at 2 months post-partum, depression was measured by the Edinburgh Post-natal Depression Scale (yes (EPDS≥12) vs. no),20 and women reported on their ‘general health’ (average/bad vs. good/very good). Self-reported health has been known to capture not only physical but also mental health and social well-being.21 Mother’s migration status At study enrolment, women were asked about their nationality and country of birth, as well as those of their partner. At 2 months post-partum, women reported their parents’ country of birth. This information was used to identify women’s ‘migrant status’ according to five categories: ‘majority population’ (includes foreign-born persons whose parents were French at birth), ‘descendants (second generation) with one migrant parent’, ‘descendants with two migrant parents’, ‘naturalized migrant women ‘(first generation; women born non-French outside of France who acquired French citizenship) and ‘non-naturalized migrant women’ (women non-French outside of France and who did not have French nationality at the time of data collection). Region of origin Participants’ region of origin was defined as (i) own region of birth for descendants of migrants and (ii) parents’ region of birth for migrants (North Africa and Turkey, Sub-Saharan Africa, non-EU Eastern Europe and Asia, other vs. France/EU). Other covariates Covariates included known risk factors of women’s mental health difficulties and characteristics related to migrant status: demographic characteristics: maternity unit of delivery, maternal age (≤ 30 years vs. > 30 years), educational level (< high school, high school vs. > high school degree), overall number of children (two or more vs. one), residential area (Paris Basin, North, East, West, South-West, Centre-East, others, vs. Paris region), recruitment wave (April, June to July, September to October vs. November to December); socio-economic characteristics: highest house-hold occupational grade (none, low [e.g. clerk, manual worker], intermediate [e.g. mid-level manager, technician], vs. high [e.g. manager]), maternal employment status at the time of pregnancy (unemployed, out of the job market vs. employed); partner characteristics: employment status at the time of pregnancy (unemployed, out of the job market vs. employed), sufficient partner support during pregnancy (not living with a partner, no, vs. yes), nationality (naturalized, migrant vs. native French), and region of origin (North Africa and Turkey, Sub-Saharan Africa, Eastern Europe and Asia, other vs. France/European Union); pregnancy and child characteristics: pregnancy timing (anticipated vs. not anticipated), tobacco use during pregnancy (smoker, former smoker who quit during pregnancy, vs. non-smoker), unplanned caesarean section (yes, vs. no - including planned caesarean section, vaginal and instrumental extraction), child gestational age (<37 weeks vs ≥37 weeks), child sex (girl vs. boy), and feeding method at 2 months (formula vs. breast feeding (including exclusive and partial breastfeeding).- Statistical analysis Missing data on covariates were imputed using multiple imputations by chained equations under fully conditional specification and assuming that data were missing at random.22 The first imputation procedure included all the outcome variables and covariates measured at baseline as well as the maternity unit. The second imputation procedure included all outcome variables measured at 2 months as well as all covariates and the maternity unit. Ten imputed datasets were created for each imputation procedure. A variable that indicated missing values for each outcome was created before imputation and served to select only complete outcome observations for each subsequent analysis on imputed datasets. Logistic regression models were implemented to identify potential confounders among the list of previously described covariates. Variables associated with these outcomes in bivariate analyses (P < 0.20) were included in the multivariate logistic regression models. These models examined associations between migrant status and the region of origin and each study outcome while adjusting for identified confounders, with a random intercept corresponding to the maternity unit of delivery. Interactions between migrant status and region of origin were examined separately for each study outcome. The majority group constituted the reference group in all analyses. Analyses were adjusted for all the listed covariates, except in the analysis of psychological difficulties during pregnancy where covariates measured subsequently (ex. unplanned caesarean, child sex, gestational age and child feeding method) were not included. All analyses were performed with SAS, version 9.4. Multiple imputations were implemented using the ‘PROC MI’ procedure with the fully conditional specification statement. Bivariate and multivariate analyses were conducted separately for each imputed dataset and the results (OR, CI 95%) were pooled using the ‘PROC MIANALYZE’ procedure. Results Table 1 presents descriptive statistics of women included in the analysis. Table 1 Descriptive characteristics of women of the ELFE cohort (n = 17 988) Demographic characteristics (n. %a) Health characteristics (n. %a) Age <30 years 7724 (42.9%) Persistent psychological difficulties Yes 2222 (12.4%) ≥30 years 10 134 (56.3%) No 15524 (86.3%) Educational level < High school degree 3415 (19.0%) Post-partum depression No 13 630 (75.8%) High school 3760 (20.9%) Yes 1903 (10.6%) > High school degree 10 757 (59.8%) Self-reported health at 2 months post-partum Good 14197 (78.9%) Number of children One 8327 (46.3%) Bad 1345 (7.5%) ≥Two 9661 (53.7%) Pregnancy and child characteristics (n. %a) Residential area Paris 3184 (17.7%) Mistimed pregnancy Yes 2156 (12.0%) Paris region 2699 (15.0%) No 15555 (86.5%) North-Pas de Calais 1411 (7.8%) Smoking during pregnancy Non-smokers 10220 (56.8%) East 1592 (8.9%) Former smoker 4020 (22.3%) West 2282 (12.7%) Smoker 3506 (19.5%) South-West 1300 (7.2%) Unplanned caesarean Yes 1869 (10.4%) Centre-East 1784 (9.9%) No 15597 (86.7%) Other 1875 (10.4%) Gestational age <37 weeks 873 (4.9%) Socioeconomic characteristics (n. %a) >=37 weeks 16789 (93.3%) Occupational grade High 1806 (10.0%) Child’s sex Girl 8633 (48.0%) Intermediate 3371 (18.7%) Boy 9148 (50.9%) Low 10 842 (60.3%) Child feeding method at 2 months Breastfeeding (exclusive or partial) 7490 (41.6%) No occupation 1969 (10.9%) Formula 8271 (46.0%) Employment status Employed 13 929 (77.4%) Recruitment wave April 2745 (15.3%) Unemployed 1017 (5.7%) June to July 4533 (25.2%) Sep to Oct 5120 (28.5%) Nov to Dec 5590 (31.1%) Demographic characteristics (n. %a) Health characteristics (n. %a) Age <30 years 7724 (42.9%) Persistent psychological difficulties Yes 2222 (12.4%) ≥30 years 10 134 (56.3%) No 15524 (86.3%) Educational level < High school degree 3415 (19.0%) Post-partum depression No 13 630 (75.8%) High school 3760 (20.9%) Yes 1903 (10.6%) > High school degree 10 757 (59.8%) Self-reported health at 2 months post-partum Good 14197 (78.9%) Number of children One 8327 (46.3%) Bad 1345 (7.5%) ≥Two 9661 (53.7%) Pregnancy and child characteristics (n. %a) Residential area Paris 3184 (17.7%) Mistimed pregnancy Yes 2156 (12.0%) Paris region 2699 (15.0%) No 15555 (86.5%) North-Pas de Calais 1411 (7.8%) Smoking during pregnancy Non-smokers 10220 (56.8%) East 1592 (8.9%) Former smoker 4020 (22.3%) West 2282 (12.7%) Smoker 3506 (19.5%) South-West 1300 (7.2%) Unplanned caesarean Yes 1869 (10.4%) Centre-East 1784 (9.9%) No 15597 (86.7%) Other 1875 (10.4%) Gestational age <37 weeks 873 (4.9%) Socioeconomic characteristics (n. %a) >=37 weeks 16789 (93.3%) Occupational grade High 1806 (10.0%) Child’s sex Girl 8633 (48.0%) Intermediate 3371 (18.7%) Boy 9148 (50.9%) Low 10 842 (60.3%) Child feeding method at 2 months Breastfeeding (exclusive or partial) 7490 (41.6%) No occupation 1969 (10.9%) Formula 8271 (46.0%) Employment status Employed 13 929 (77.4%) Recruitment wave April 2745 (15.3%) Unemployed 1017 (5.7%) June to July 4533 (25.2%) Sep to Oct 5120 (28.5%) Nov to Dec 5590 (31.1%) a Missing values are included in the percentage calculation. Table 1 Descriptive characteristics of women of the ELFE cohort (n = 17 988) Demographic characteristics (n. %a) Health characteristics (n. %a) Age <30 years 7724 (42.9%) Persistent psychological difficulties Yes 2222 (12.4%) ≥30 years 10 134 (56.3%) No 15524 (86.3%) Educational level < High school degree 3415 (19.0%) Post-partum depression No 13 630 (75.8%) High school 3760 (20.9%) Yes 1903 (10.6%) > High school degree 10 757 (59.8%) Self-reported health at 2 months post-partum Good 14197 (78.9%) Number of children One 8327 (46.3%) Bad 1345 (7.5%) ≥Two 9661 (53.7%) Pregnancy and child characteristics (n. %a) Residential area Paris 3184 (17.7%) Mistimed pregnancy Yes 2156 (12.0%) Paris region 2699 (15.0%) No 15555 (86.5%) North-Pas de Calais 1411 (7.8%) Smoking during pregnancy Non-smokers 10220 (56.8%) East 1592 (8.9%) Former smoker 4020 (22.3%) West 2282 (12.7%) Smoker 3506 (19.5%) South-West 1300 (7.2%) Unplanned caesarean Yes 1869 (10.4%) Centre-East 1784 (9.9%) No 15597 (86.7%) Other 1875 (10.4%) Gestational age <37 weeks 873 (4.9%) Socioeconomic characteristics (n. %a) >=37 weeks 16789 (93.3%) Occupational grade High 1806 (10.0%) Child’s sex Girl 8633 (48.0%) Intermediate 3371 (18.7%) Boy 9148 (50.9%) Low 10 842 (60.3%) Child feeding method at 2 months Breastfeeding (exclusive or partial) 7490 (41.6%) No occupation 1969 (10.9%) Formula 8271 (46.0%) Employment status Employed 13 929 (77.4%) Recruitment wave April 2745 (15.3%) Unemployed 1017 (5.7%) June to July 4533 (25.2%) Sep to Oct 5120 (28.5%) Nov to Dec 5590 (31.1%) Demographic characteristics (n. %a) Health characteristics (n. %a) Age <30 years 7724 (42.9%) Persistent psychological difficulties Yes 2222 (12.4%) ≥30 years 10 134 (56.3%) No 15524 (86.3%) Educational level < High school degree 3415 (19.0%) Post-partum depression No 13 630 (75.8%) High school 3760 (20.9%) Yes 1903 (10.6%) > High school degree 10 757 (59.8%) Self-reported health at 2 months post-partum Good 14197 (78.9%) Number of children One 8327 (46.3%) Bad 1345 (7.5%) ≥Two 9661 (53.7%) Pregnancy and child characteristics (n. %a) Residential area Paris 3184 (17.7%) Mistimed pregnancy Yes 2156 (12.0%) Paris region 2699 (15.0%) No 15555 (86.5%) North-Pas de Calais 1411 (7.8%) Smoking during pregnancy Non-smokers 10220 (56.8%) East 1592 (8.9%) Former smoker 4020 (22.3%) West 2282 (12.7%) Smoker 3506 (19.5%) South-West 1300 (7.2%) Unplanned caesarean Yes 1869 (10.4%) Centre-East 1784 (9.9%) No 15597 (86.7%) Other 1875 (10.4%) Gestational age <37 weeks 873 (4.9%) Socioeconomic characteristics (n. %a) >=37 weeks 16789 (93.3%) Occupational grade High 1806 (10.0%) Child’s sex Girl 8633 (48.0%) Intermediate 3371 (18.7%) Boy 9148 (50.9%) Low 10 842 (60.3%) Child feeding method at 2 months Breastfeeding (exclusive or partial) 7490 (41.6%) No occupation 1969 (10.9%) Formula 8271 (46.0%) Employment status Employed 13 929 (77.4%) Recruitment wave April 2745 (15.3%) Unemployed 1017 (5.7%) June to July 4533 (25.2%) Sep to Oct 5120 (28.5%) Nov to Dec 5590 (31.1%) a Missing values are included in the percentage calculation. Out of 17 988 mothers included in the study, 68.4% were in the ‘majority population’ group, 5.8% were descendants with one migrant parent (n = 1046), 5.3% were descendants with two migrant parents (n = 954), 3.6% were naturalized (n = 654) and 8.5% were non-French citizens (n = 1525). Data on migrant status were missing for 8.4% (n = 1515) of the participants. More than half of descendants originated from another country in the European Union (53.4%) and 63.1% of migrants were from North Africa and Turkey. In bivariate analyses, migrant status and the region of origin were associated with all study outcomes (Supplementary table S2); however health outcomes among descendants with one migrant parent were comparable to those of members of the majority population. Additionally, we found a gradient of post-partum depression and self-reported health 2 months post-partum: non-naturalized migrants had worse health than naturalized migrants, who in turn had worse health than descendants with two migrant parents. After adjusting for confounding factors (table 2), particularly socio-economic variables and mother’s age, migrant status and region of origin were no longer associated with persistent psychological difficulties during pregnancy. Table 2 Associations between migrant status and region of origin with mental health in the perinatal period (multivariate logistic regression models, OR; 95% CI): the ELFE birth cohort study (n = 17 988) * : ORa = adjusted OR Psychological difficulties during pregnancy ORa* (95%CI) Poor perceived health, 2 months post-partumORa* (95%CI) Post-partum depression, 2 months post-partumORa* (95%CI) Migrant status (ref = majority population) Descendant, one migrant parent 1.14 (0.92–1.41) 1.08 (0.85–1.38) 0.99 (0.80–1.23) Descendant, two migrant parents 1.05 (0.79–1.41) 1.26 (0.93–1.72) 0.93 (0.70–1.24) Naturalized 1.21 (0.88–1.67) 1.30 (0.88–1.90) 1.11 (0.80–1.55) Non-naturalized 1.08 (0.82–1.42) 1.45 (1.06–1.98) 1.66 (1.27–2.18) Region of origin (ref = France/EU) Eastern Europe, Asia 0.82 (0.52–1.30) 1.23 (0.74–2.04) 1.36 (0.89–2.09) North Africa, Turkey 1.20 (0.91–1.59) 1.40 (1.02–1.94) 1.53 (1.14–2.04) Sub-Saharan Africa 1.16 (0.81–1.66) 1.34 (0.88–2.02) 1.52 (1.06–2.18) Others/Non declared 1.06 (0.70–1.61) 1.67 (1.06–2.64) 1.46 (0.97–2.20) Mother's age(ref≥30 years) <30 years 0.76 (0.69–0.85) 0.63 (0.56–0.72) 0.81 (0.72–0.90) Educational level (ref = >bac) <High school 1.01 (0.88–1.16) 1.39 (1.18–1.64) 1.19 (1.03–1.38) High school 1.07 (0.94–1.21) 1.09 (0.93–1.28) 1.13 (0.99–1.30) Number of children (ref = ≥2) First 0.99 (0.90–1.10) 0.98 (0.86–1.11) 0.97 (0.87–1.08) Residential area (ref = Ile de France) Paris region 1.20 (1.00–1.44) 0.96 (0.79–1.17) 0.94 (0.79–1.11) North-Pas de Calais 1.08 (0.85–1.37) 0.94 (0.73–1.20) 1.00 (0.81–1.24) East 1.09 (0.87–1.36) 0.95 (0.75–1.19) 0.94 (0.77–1.15) West 1.16 (0.94–1.42) 0.92 (0.74–1.14) 0.90 (0.74–1.09) South-West 1.25 (1.00–1.57) 0.93 (0.72–1.19) 0.89 (0.71–1.11) Centre-East 1.26 (1.02–1.55) 1.00 (0.80–1.25) 1.13 (0.93–1.37) Others 1.12 (0.92–1.36) 1.00 (0.81–1.24) 0.83 (0.68–1.01) Mistimed pregnancy (ref = no) Yes 1.99 (1.76–2.24) 1.39 (1.18–1.63) 1.42 (1.24–1.63) Occupational grade (ref = high) Intermediate 1.23 (1.01–1.48) 1.16 (0.90–1.50) 1.16 (0.94–1.43) Low professional 1.11 (0.92–1.32) 1.45 (1.15–1.84) 1.37 (1.12–1.66) No occupation 0.96 (0.73–1.26) 1.42 (1.01–2.00) 1.40 (1.05–1.87) Mother's employment status (ref = working) Out of the job market 0.84 (0.72–0.98) 1.36 (1.14–1.62) 1.17 (1.00–1.36) Unemployed 1.05 (0.87–1.27) 1.37 (1.09–1.72) 1.17 (0.95–1.45) Father's employment status (ref = working) Out of the job market 1.61 (1.28–2.03) 0.95 (0.69–1.31) 1.12 (0.86–1.46) Unemployed 1.21 (0.98–1.50) 1.12 (0.86–1.44) 1.01 (0.80–1.28) Social support during pregnancy (ref = well surrounded) No/insufficient 2.20 (1.90–2.56) 2.06 (1.73–2.45) 2.50 (2.16–2.90) No partner 1.63 (1.33–2.00) 1.26 (0.98–1.62) 1.91 (1.55–2.36) Tobacco use (ref = non-smoker) Former smoker 1.21 (1.08–1.37) 1.09 (0.93–1.26) 1.12 (0.99–1.27) Smoker 1.38 (1.22–1.55) 1.14 (0.97–1.33) 1.05 (0.91–1.20) Partner migrant status (ref = majority population) Naturalized 1.04 (0.73–1.47) 0.89 (0.58–1.36) 0.81 (0.55–1.17) Migrant 1.14 (0.85–1.51) 1.24 (0.87–1.77) 0.92 (0.67–1.26) Region of origin of the partner (ref = France/EU) Eastern Europe, Asia 0.92 (0.57–1.49) 1.04 (0.58–1.85) 1.39 (0.85–2.26) North Africa, Tukey 0.95 (0.68–1.33) 1.02 (0.67–1.55) 1.26 (0.87–1.82) Sub-Saharan Africa 0.97 (0.66–1.43) 1.29 (0.82–2.03) 1.25 (0.84–1.87) Other/Non declared 0.94 (0.61–1.45) 1.05 (0.62–1.78) 1.18 (0.74–1.88) Recruitment wave (ref = November toDecember) April 1.31 (1.14–1.51) 0.99 (0.83–1.18) 1.02 (0.88–1.20) June to July 1.19 (1.05–1.34) 1.06 (0.91–1.23) 1.03 (0.90–1.18) September to October 1.07 (0.95–1.21) 1.00 (0.86–1.16) 1.20 (1.06–1.37) Unplanned caesarean Ref = no Yes 1.23 (1.03–1.47) 1.02 (0.87–1.20) Gestational age (ref≥37 weeks) <37 weeks 1.54 (1.23–1.93) 1.24 (1.00–1.54) Child’s sex(ref = boy) Girl 0.85 (0.75–0.95) 0.80 (0.73–0.89) Child feeding method at 2 months (ref = Breast feeding) Formula 1.45 (1.28–1.64) 1.02 (0.92–1.13) Psychological difficulties during pregnancy ORa* (95%CI) Poor perceived health, 2 months post-partumORa* (95%CI) Post-partum depression, 2 months post-partumORa* (95%CI) Migrant status (ref = majority population) Descendant, one migrant parent 1.14 (0.92–1.41) 1.08 (0.85–1.38) 0.99 (0.80–1.23) Descendant, two migrant parents 1.05 (0.79–1.41) 1.26 (0.93–1.72) 0.93 (0.70–1.24) Naturalized 1.21 (0.88–1.67) 1.30 (0.88–1.90) 1.11 (0.80–1.55) Non-naturalized 1.08 (0.82–1.42) 1.45 (1.06–1.98) 1.66 (1.27–2.18) Region of origin (ref = France/EU) Eastern Europe, Asia 0.82 (0.52–1.30) 1.23 (0.74–2.04) 1.36 (0.89–2.09) North Africa, Turkey 1.20 (0.91–1.59) 1.40 (1.02–1.94) 1.53 (1.14–2.04) Sub-Saharan Africa 1.16 (0.81–1.66) 1.34 (0.88–2.02) 1.52 (1.06–2.18) Others/Non declared 1.06 (0.70–1.61) 1.67 (1.06–2.64) 1.46 (0.97–2.20) Mother's age(ref≥30 years) <30 years 0.76 (0.69–0.85) 0.63 (0.56–0.72) 0.81 (0.72–0.90) Educational level (ref = >bac) <High school 1.01 (0.88–1.16) 1.39 (1.18–1.64) 1.19 (1.03–1.38) High school 1.07 (0.94–1.21) 1.09 (0.93–1.28) 1.13 (0.99–1.30) Number of children (ref = ≥2) First 0.99 (0.90–1.10) 0.98 (0.86–1.11) 0.97 (0.87–1.08) Residential area (ref = Ile de France) Paris region 1.20 (1.00–1.44) 0.96 (0.79–1.17) 0.94 (0.79–1.11) North-Pas de Calais 1.08 (0.85–1.37) 0.94 (0.73–1.20) 1.00 (0.81–1.24) East 1.09 (0.87–1.36) 0.95 (0.75–1.19) 0.94 (0.77–1.15) West 1.16 (0.94–1.42) 0.92 (0.74–1.14) 0.90 (0.74–1.09) South-West 1.25 (1.00–1.57) 0.93 (0.72–1.19) 0.89 (0.71–1.11) Centre-East 1.26 (1.02–1.55) 1.00 (0.80–1.25) 1.13 (0.93–1.37) Others 1.12 (0.92–1.36) 1.00 (0.81–1.24) 0.83 (0.68–1.01) Mistimed pregnancy (ref = no) Yes 1.99 (1.76–2.24) 1.39 (1.18–1.63) 1.42 (1.24–1.63) Occupational grade (ref = high) Intermediate 1.23 (1.01–1.48) 1.16 (0.90–1.50) 1.16 (0.94–1.43) Low professional 1.11 (0.92–1.32) 1.45 (1.15–1.84) 1.37 (1.12–1.66) No occupation 0.96 (0.73–1.26) 1.42 (1.01–2.00) 1.40 (1.05–1.87) Mother's employment status (ref = working) Out of the job market 0.84 (0.72–0.98) 1.36 (1.14–1.62) 1.17 (1.00–1.36) Unemployed 1.05 (0.87–1.27) 1.37 (1.09–1.72) 1.17 (0.95–1.45) Father's employment status (ref = working) Out of the job market 1.61 (1.28–2.03) 0.95 (0.69–1.31) 1.12 (0.86–1.46) Unemployed 1.21 (0.98–1.50) 1.12 (0.86–1.44) 1.01 (0.80–1.28) Social support during pregnancy (ref = well surrounded) No/insufficient 2.20 (1.90–2.56) 2.06 (1.73–2.45) 2.50 (2.16–2.90) No partner 1.63 (1.33–2.00) 1.26 (0.98–1.62) 1.91 (1.55–2.36) Tobacco use (ref = non-smoker) Former smoker 1.21 (1.08–1.37) 1.09 (0.93–1.26) 1.12 (0.99–1.27) Smoker 1.38 (1.22–1.55) 1.14 (0.97–1.33) 1.05 (0.91–1.20) Partner migrant status (ref = majority population) Naturalized 1.04 (0.73–1.47) 0.89 (0.58–1.36) 0.81 (0.55–1.17) Migrant 1.14 (0.85–1.51) 1.24 (0.87–1.77) 0.92 (0.67–1.26) Region of origin of the partner (ref = France/EU) Eastern Europe, Asia 0.92 (0.57–1.49) 1.04 (0.58–1.85) 1.39 (0.85–2.26) North Africa, Tukey 0.95 (0.68–1.33) 1.02 (0.67–1.55) 1.26 (0.87–1.82) Sub-Saharan Africa 0.97 (0.66–1.43) 1.29 (0.82–2.03) 1.25 (0.84–1.87) Other/Non declared 0.94 (0.61–1.45) 1.05 (0.62–1.78) 1.18 (0.74–1.88) Recruitment wave (ref = November toDecember) April 1.31 (1.14–1.51) 0.99 (0.83–1.18) 1.02 (0.88–1.20) June to July 1.19 (1.05–1.34) 1.06 (0.91–1.23) 1.03 (0.90–1.18) September to October 1.07 (0.95–1.21) 1.00 (0.86–1.16) 1.20 (1.06–1.37) Unplanned caesarean Ref = no Yes 1.23 (1.03–1.47) 1.02 (0.87–1.20) Gestational age (ref≥37 weeks) <37 weeks 1.54 (1.23–1.93) 1.24 (1.00–1.54) Child’s sex(ref = boy) Girl 0.85 (0.75–0.95) 0.80 (0.73–0.89) Child feeding method at 2 months (ref = Breast feeding) Formula 1.45 (1.28–1.64) 1.02 (0.92–1.13) Table 2 Associations between migrant status and region of origin with mental health in the perinatal period (multivariate logistic regression models, OR; 95% CI): the ELFE birth cohort study (n = 17 988) * : ORa = adjusted OR Psychological difficulties during pregnancy ORa* (95%CI) Poor perceived health, 2 months post-partumORa* (95%CI) Post-partum depression, 2 months post-partumORa* (95%CI) Migrant status (ref = majority population) Descendant, one migrant parent 1.14 (0.92–1.41) 1.08 (0.85–1.38) 0.99 (0.80–1.23) Descendant, two migrant parents 1.05 (0.79–1.41) 1.26 (0.93–1.72) 0.93 (0.70–1.24) Naturalized 1.21 (0.88–1.67) 1.30 (0.88–1.90) 1.11 (0.80–1.55) Non-naturalized 1.08 (0.82–1.42) 1.45 (1.06–1.98) 1.66 (1.27–2.18) Region of origin (ref = France/EU) Eastern Europe, Asia 0.82 (0.52–1.30) 1.23 (0.74–2.04) 1.36 (0.89–2.09) North Africa, Turkey 1.20 (0.91–1.59) 1.40 (1.02–1.94) 1.53 (1.14–2.04) Sub-Saharan Africa 1.16 (0.81–1.66) 1.34 (0.88–2.02) 1.52 (1.06–2.18) Others/Non declared 1.06 (0.70–1.61) 1.67 (1.06–2.64) 1.46 (0.97–2.20) Mother's age(ref≥30 years) <30 years 0.76 (0.69–0.85) 0.63 (0.56–0.72) 0.81 (0.72–0.90) Educational level (ref = >bac) <High school 1.01 (0.88–1.16) 1.39 (1.18–1.64) 1.19 (1.03–1.38) High school 1.07 (0.94–1.21) 1.09 (0.93–1.28) 1.13 (0.99–1.30) Number of children (ref = ≥2) First 0.99 (0.90–1.10) 0.98 (0.86–1.11) 0.97 (0.87–1.08) Residential area (ref = Ile de France) Paris region 1.20 (1.00–1.44) 0.96 (0.79–1.17) 0.94 (0.79–1.11) North-Pas de Calais 1.08 (0.85–1.37) 0.94 (0.73–1.20) 1.00 (0.81–1.24) East 1.09 (0.87–1.36) 0.95 (0.75–1.19) 0.94 (0.77–1.15) West 1.16 (0.94–1.42) 0.92 (0.74–1.14) 0.90 (0.74–1.09) South-West 1.25 (1.00–1.57) 0.93 (0.72–1.19) 0.89 (0.71–1.11) Centre-East 1.26 (1.02–1.55) 1.00 (0.80–1.25) 1.13 (0.93–1.37) Others 1.12 (0.92–1.36) 1.00 (0.81–1.24) 0.83 (0.68–1.01) Mistimed pregnancy (ref = no) Yes 1.99 (1.76–2.24) 1.39 (1.18–1.63) 1.42 (1.24–1.63) Occupational grade (ref = high) Intermediate 1.23 (1.01–1.48) 1.16 (0.90–1.50) 1.16 (0.94–1.43) Low professional 1.11 (0.92–1.32) 1.45 (1.15–1.84) 1.37 (1.12–1.66) No occupation 0.96 (0.73–1.26) 1.42 (1.01–2.00) 1.40 (1.05–1.87) Mother's employment status (ref = working) Out of the job market 0.84 (0.72–0.98) 1.36 (1.14–1.62) 1.17 (1.00–1.36) Unemployed 1.05 (0.87–1.27) 1.37 (1.09–1.72) 1.17 (0.95–1.45) Father's employment status (ref = working) Out of the job market 1.61 (1.28–2.03) 0.95 (0.69–1.31) 1.12 (0.86–1.46) Unemployed 1.21 (0.98–1.50) 1.12 (0.86–1.44) 1.01 (0.80–1.28) Social support during pregnancy (ref = well surrounded) No/insufficient 2.20 (1.90–2.56) 2.06 (1.73–2.45) 2.50 (2.16–2.90) No partner 1.63 (1.33–2.00) 1.26 (0.98–1.62) 1.91 (1.55–2.36) Tobacco use (ref = non-smoker) Former smoker 1.21 (1.08–1.37) 1.09 (0.93–1.26) 1.12 (0.99–1.27) Smoker 1.38 (1.22–1.55) 1.14 (0.97–1.33) 1.05 (0.91–1.20) Partner migrant status (ref = majority population) Naturalized 1.04 (0.73–1.47) 0.89 (0.58–1.36) 0.81 (0.55–1.17) Migrant 1.14 (0.85–1.51) 1.24 (0.87–1.77) 0.92 (0.67–1.26) Region of origin of the partner (ref = France/EU) Eastern Europe, Asia 0.92 (0.57–1.49) 1.04 (0.58–1.85) 1.39 (0.85–2.26) North Africa, Tukey 0.95 (0.68–1.33) 1.02 (0.67–1.55) 1.26 (0.87–1.82) Sub-Saharan Africa 0.97 (0.66–1.43) 1.29 (0.82–2.03) 1.25 (0.84–1.87) Other/Non declared 0.94 (0.61–1.45) 1.05 (0.62–1.78) 1.18 (0.74–1.88) Recruitment wave (ref = November toDecember) April 1.31 (1.14–1.51) 0.99 (0.83–1.18) 1.02 (0.88–1.20) June to July 1.19 (1.05–1.34) 1.06 (0.91–1.23) 1.03 (0.90–1.18) September to October 1.07 (0.95–1.21) 1.00 (0.86–1.16) 1.20 (1.06–1.37) Unplanned caesarean Ref = no Yes 1.23 (1.03–1.47) 1.02 (0.87–1.20) Gestational age (ref≥37 weeks) <37 weeks 1.54 (1.23–1.93) 1.24 (1.00–1.54) Child’s sex(ref = boy) Girl 0.85 (0.75–0.95) 0.80 (0.73–0.89) Child feeding method at 2 months (ref = Breast feeding) Formula 1.45 (1.28–1.64) 1.02 (0.92–1.13) Psychological difficulties during pregnancy ORa* (95%CI) Poor perceived health, 2 months post-partumORa* (95%CI) Post-partum depression, 2 months post-partumORa* (95%CI) Migrant status (ref = majority population) Descendant, one migrant parent 1.14 (0.92–1.41) 1.08 (0.85–1.38) 0.99 (0.80–1.23) Descendant, two migrant parents 1.05 (0.79–1.41) 1.26 (0.93–1.72) 0.93 (0.70–1.24) Naturalized 1.21 (0.88–1.67) 1.30 (0.88–1.90) 1.11 (0.80–1.55) Non-naturalized 1.08 (0.82–1.42) 1.45 (1.06–1.98) 1.66 (1.27–2.18) Region of origin (ref = France/EU) Eastern Europe, Asia 0.82 (0.52–1.30) 1.23 (0.74–2.04) 1.36 (0.89–2.09) North Africa, Turkey 1.20 (0.91–1.59) 1.40 (1.02–1.94) 1.53 (1.14–2.04) Sub-Saharan Africa 1.16 (0.81–1.66) 1.34 (0.88–2.02) 1.52 (1.06–2.18) Others/Non declared 1.06 (0.70–1.61) 1.67 (1.06–2.64) 1.46 (0.97–2.20) Mother's age(ref≥30 years) <30 years 0.76 (0.69–0.85) 0.63 (0.56–0.72) 0.81 (0.72–0.90) Educational level (ref = >bac) <High school 1.01 (0.88–1.16) 1.39 (1.18–1.64) 1.19 (1.03–1.38) High school 1.07 (0.94–1.21) 1.09 (0.93–1.28) 1.13 (0.99–1.30) Number of children (ref = ≥2) First 0.99 (0.90–1.10) 0.98 (0.86–1.11) 0.97 (0.87–1.08) Residential area (ref = Ile de France) Paris region 1.20 (1.00–1.44) 0.96 (0.79–1.17) 0.94 (0.79–1.11) North-Pas de Calais 1.08 (0.85–1.37) 0.94 (0.73–1.20) 1.00 (0.81–1.24) East 1.09 (0.87–1.36) 0.95 (0.75–1.19) 0.94 (0.77–1.15) West 1.16 (0.94–1.42) 0.92 (0.74–1.14) 0.90 (0.74–1.09) South-West 1.25 (1.00–1.57) 0.93 (0.72–1.19) 0.89 (0.71–1.11) Centre-East 1.26 (1.02–1.55) 1.00 (0.80–1.25) 1.13 (0.93–1.37) Others 1.12 (0.92–1.36) 1.00 (0.81–1.24) 0.83 (0.68–1.01) Mistimed pregnancy (ref = no) Yes 1.99 (1.76–2.24) 1.39 (1.18–1.63) 1.42 (1.24–1.63) Occupational grade (ref = high) Intermediate 1.23 (1.01–1.48) 1.16 (0.90–1.50) 1.16 (0.94–1.43) Low professional 1.11 (0.92–1.32) 1.45 (1.15–1.84) 1.37 (1.12–1.66) No occupation 0.96 (0.73–1.26) 1.42 (1.01–2.00) 1.40 (1.05–1.87) Mother's employment status (ref = working) Out of the job market 0.84 (0.72–0.98) 1.36 (1.14–1.62) 1.17 (1.00–1.36) Unemployed 1.05 (0.87–1.27) 1.37 (1.09–1.72) 1.17 (0.95–1.45) Father's employment status (ref = working) Out of the job market 1.61 (1.28–2.03) 0.95 (0.69–1.31) 1.12 (0.86–1.46) Unemployed 1.21 (0.98–1.50) 1.12 (0.86–1.44) 1.01 (0.80–1.28) Social support during pregnancy (ref = well surrounded) No/insufficient 2.20 (1.90–2.56) 2.06 (1.73–2.45) 2.50 (2.16–2.90) No partner 1.63 (1.33–2.00) 1.26 (0.98–1.62) 1.91 (1.55–2.36) Tobacco use (ref = non-smoker) Former smoker 1.21 (1.08–1.37) 1.09 (0.93–1.26) 1.12 (0.99–1.27) Smoker 1.38 (1.22–1.55) 1.14 (0.97–1.33) 1.05 (0.91–1.20) Partner migrant status (ref = majority population) Naturalized 1.04 (0.73–1.47) 0.89 (0.58–1.36) 0.81 (0.55–1.17) Migrant 1.14 (0.85–1.51) 1.24 (0.87–1.77) 0.92 (0.67–1.26) Region of origin of the partner (ref = France/EU) Eastern Europe, Asia 0.92 (0.57–1.49) 1.04 (0.58–1.85) 1.39 (0.85–2.26) North Africa, Tukey 0.95 (0.68–1.33) 1.02 (0.67–1.55) 1.26 (0.87–1.82) Sub-Saharan Africa 0.97 (0.66–1.43) 1.29 (0.82–2.03) 1.25 (0.84–1.87) Other/Non declared 0.94 (0.61–1.45) 1.05 (0.62–1.78) 1.18 (0.74–1.88) Recruitment wave (ref = November toDecember) April 1.31 (1.14–1.51) 0.99 (0.83–1.18) 1.02 (0.88–1.20) June to July 1.19 (1.05–1.34) 1.06 (0.91–1.23) 1.03 (0.90–1.18) September to October 1.07 (0.95–1.21) 1.00 (0.86–1.16) 1.20 (1.06–1.37) Unplanned caesarean Ref = no Yes 1.23 (1.03–1.47) 1.02 (0.87–1.20) Gestational age (ref≥37 weeks) <37 weeks 1.54 (1.23–1.93) 1.24 (1.00–1.54) Child’s sex(ref = boy) Girl 0.85 (0.75–0.95) 0.80 (0.73–0.89) Child feeding method at 2 months (ref = Breast feeding) Formula 1.45 (1.28–1.64) 1.02 (0.92–1.13) Nevertheless, the association between migrant status and post-partum depression and self-rated health subsisted. In particular, non-naturalized migrant women were more likely to have post-partum depression (OR= 1.66, 95% CI: 1.27–2.18) and more likely to report being in poor health (OR = 1.45, 95%: CI 1.06–1.98) 2 months after giving birth compared to the majority population. The region of origin was also associated with these two outcomes: women from North Africa and Turkey as well as ‘other countries’ were especially likely to be depressed; women from Sub-Saharan Africa and ‘other countries’ were especially likely to report poor health. There were no statistically significant interactions between migrant status and region of origin for the three mental health indicators. Discussion Key results To our knowledge, this is the first European study that examines women’s perinatal mental health in first and second-generation migrant women accounting for geographical region of origin. The present results show that after adjusting for multiple characteristics, only Non-French citizens display higher levels of post-partum depressive symptoms and poor perceived-health than the majority population. Additionally, the region of origin is also associated with post-partum depression (Turkey, North and Sub-Saharan Africa) and poor self-reported health (North Africa, Turkey, Other regions). Overall, women who descend from migrants have similar profiles to those who were born in France of French-citizen parents; however foreign women may require special attention from primary care and mental health professionals during pregnancy and the period that follows. Interpretation The finding that migrant women have worse self-reported health and higher levels of post-partum depression than native women is consistent with findings from other studies.6 Compared to the general population, migrant women disproportionately face stressors such as poor social support, low socioeconomic position, and/or difficulties in adaptation to the host culture that could increase their risk of post-partum depressive symptoms.23 In our study, neither naturalized nor second-generation migrant women were at increased risk of post-partum depression or poor perceived health, unlike non-French citizens, which could be due to differences in adaptation and social inclusion between these two groups. However, we did find an association between women’s region of origin and mental health outcomes, independently of migrant status, which could reflect stressors not related to cultural and societal adaptation such as social adversity and discrimination. A recent review hypothesized that the reason migrants’ life satisfaction in European countries is low is because of discrimination, which does not seem to improve across time or generation.9 In another study, perceived discrimination among pregnant low-income women was associated with depressive symptoms independently of potential confounders, including ethnicity.24 In our study, perceived persistent psychological difficulties during pregnancy were not associated with migrant status or the region of origin. It is possible that this binary indicator could not discriminate increased mental health problems persistently experienced by women with a migrant origin4 from psychological difficulties directly linked to perinatal factors such as a mistimed pregnancy or the lack of partner support. In fact, these two factors had the strongest association with perceived persistent psychological difficulties in the antenatal period. Also, migrant women, especially those who were not French citizens, were more likely to be single mothers and to report a mistimed pregnancy compared to the majority population, therefore these factors possibly ‘mediate’ the association between migrant status and psychological difficulties observed in our bivariate analysis. Limitations A limitation of our study is the lack of data on women’s integration, acculturation and perceived discrimination, even though, among migrants ‘citizenship’ (or naturalization) can be considered as an adequate proxy for acculturation.10 This is especially the case as naturalized women in our study lived in France an average of 8 years more than non-naturalized women (17.2 (SD = 8) vs. 9.3 (SD = 8) and are therefore likely to have arrived at a much earlier age, which is related with the degree of acculturation. An alternative proxy would be the languages spoken at home.25 Approximately 7% of women participating in the ELFE cohort reported using at least two languages in their household, but since most migrants in France and in the study originate from French-speaking countries, language may not be a precise proxy for acculturation in this setting. Another limitation is attrition at 2 months, which may have resulted in an underestimation of the association between migrant status and mental health problems, if most vulnerable women were not included in our follow-up. Nevertheless the associations we report were statistically significant even after adjusting for multiple socio-demographic, economic and partner characteristics. Our study’s main strengths are: (i) the use of data from a large nationally representative cohort of women and children, (ii) measurement of multiple covariates and (iii) the examination of mental health across different categories of migrant status and region of origin. Conclusion Migrant women tend to have comparable mental health difficulties in the perinatal period as women who are not migrant; however, they also face some specific difficulties. Women of North African, Sub-Saharan or Turkish descent are more likely to report post-partum depression, as are women who do not hold French citizenship. Further research should compare women’s perinatal health outcomes in different European countries, which might help distinguish the effects of migration itself, from those of socioeconomic circumstances and patterns of integration in the host country. Acknowledgements The ELFE study is a joint project between INED (Institut National d’Etudes Démographiques), INSERM (Institut National de la Santé et de la Recherche Médicale), EFS (Etablissement Français du Sang), InVS (Institut de Veille Sanitaire), INSEE (Institut National de la Statistique et des Etudes Economiques), the Ministry of Health (DGS, Direction Générale de la Santé), the Ministry of Environment (DGPR, Direction Générale de la Prévention des Risques), the Ministries of Health and Employment (DREES, Direction de la Recherche, des Etudes, de l’Evaluation et des Statistiques), and the CNAF (Caisse Nationale des Allocations Familiales), with the support the Ministry of Research and CCDSHS (Comité de Concertation pour les Données en Sciences Humaines et Sociales) and the Ministry of Culture (DEPS, Département des études, de la prospective et des statistiques). The ELFE study received approvals from the consultative committee for information treatment for health research (Comité Consultatif sur le Traitement des Informations pour la Recherche en Santé: CCTIRS) and the national data protection authority (Commission National Informatique et Libertés: CNIL). Funding The ELFE survey is a joint project between INED (Institut National d’Etudes Démographiques), INSERM (Institut National de la Santé et de la Recherche Médicale), EFS (Etablissement Français du Sang), InVS (Institut de Veille Sanitaire), INSEE (Institut National de la Statistique et des Etudes Economiques), the Ministry of Health (DGS, Direction Générale de la Santé), the Ministry of Environment (DGPR, Direction Générale de la Prévention des Risques), the Ministries of Health and Employment (DREES, Direction de la Recherche, des Etudes, de l’Evaluation et des Statistiques), and the CNAF (Caisse Nationale des Allocations Familiales), with the support of the Ministry of Research and CCDSHS (Comité de Concertation pour les Données en Sciences Humaines et Sociales) and the Ministry of Culture (DEPS, Département des études, de la prospective et des statistiques). This work was supported by funding from the ANR (agence nationale de la recherche) within the framework of the “future investments” programme (reference: anr-11-eqpx-0038), as part of the RECONAI platform. Additionally, this analysis was funded by the SOCIALRISK_MH project funded through the ANR ‘Social determinants of health’ program (2012). Conflicts of interest: None declared. Key points Mental health problems are common in the perinatal period, especially among migrant women, as compared to those who are non-migrant. Descendants of migrants and naturalized migrants have comparable mental health to the majority population of France. Non-naturalized migrant women are especially likely to have post-partum depression and poor self-reported health. Our findings highlight the need to screen for women’s mental health difficulties the perinatal period and develop targeted psychological and social interventions for non-naturalized migrant women who need such support. 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This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/about_us/legal/notices) http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png The European Journal of Public Health Oxford University Press

Women’s mental health in the perinatal period according to migrant status: the French representative ELFE birth cohort

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Oxford University Press
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© The Author(s) 2018. Published by Oxford University Press on behalf of the European Public Health Association. All rights reserved.
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1101-1262
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1464-360X
D.O.I.
10.1093/eurpub/cky008
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Abstract

Abstract Background Mental health problems in the perinatal period are common. We examined associations between different categories of migrant status and region of origin in relation to mental health during pregnancy and at 2 months post-partum. Methods We analyzed data from the French nationally representative Etude Longitudinale Française depuis l'Enfance birth cohort (n = 17 988). Migrant status was divided into five categories: ‘majority population’, ‘descendants with one migrant parent’, ‘descendants with two migrant parents’, ‘naturalized migrant’ and ‘non-naturalized migrant women’. Multivariate logistic regression models were implemented to examine associations between migrant status and mental health outcomes: persistent psychological difficulties during pregnancy as well as mother’s depression and poor self-reported health at 2 months post-partum. Results After adjusting for covariates, migrant status was not associated with psychological difficulties during pregnancy. Descendants of migrants had comparable mental health to the majority population. Non-naturalized migrant women were more likely to experience depression (odd’s ratio (OR)= 1.66, 95%confidence interval (CI): 1.27, 2.20) and poor self-reported health (OR = 1.45, 95%CI: 1.06, 1.98) during the post-partum period. The region of origin was associated with post-partum health independently of migrant status, such that women from Africa and Turkey were most likely to have depression or poor self-rated health. Conclusion First, but not second, generation migrant women appear to have high levels of mental health difficulties during the post-partum period. Women from North Africa, Sub-Saharan Africa, and Turkey have higher levels of distress than those from other regions. In particular, non-naturalized migrant appear to be a vulnerable group; they may disproportionately face stressors that increase their risk for post-partum depressive symptoms. Introduction The perinatal period is fraught with socio-emotional, practical and hormonal changes and challenges that make women susceptible to mental health problems: approximately 20% experience depression in the antenatal period or in 3 months following childbirth.1–3 Maternal mental health in the perinatal period has important consequences for women and their children; therefore it is essential to understand the associated risk and protective factors. In western countries, migrant women or those who descend from migrant parents are generally more prone to poor mental health than the majority population4 or those who stay in the country of origin.5 A recent meta-analysis reported that migrant women are two times more likely to experience depressive symptoms after giving birth than non-migrant women.6 However, this review included little data from European countries and was limited by the lack of a clear and standardized definition of migrant status. Indeed, in most studies, migrant status is conceptualized as a binary variable (foreign born vs. native born or White vs. ethnic minority), and neither second generation migrants nor geographic origins are accounted for.7,8 This is problematic as migrant communities in Europe are diverse. Across European countries, there is also heterogeneity in the policies and services available to migrants, as well as their level of exposure to racism and discrimination.9,10 In France, in 2014, 11% of the population had at least one migrant parent (born not in France and non-French),11 with 13.3% of new-borns having a migrant mother.12 Also, approximately 9% of residents of France are migrant, among them about 37% were born in Europe and 44% in Sub-Saharan or North Africa.13 Mental health problems in the perinatal period among migrant women may be explained by socio-economic factors,14 but also an impaired adaptation to the surrounding environment.15,16 However, this susceptibility is probably different between first and second generation migrants.17 Further, mental health among women of migrant descent (second generation) could differ depending on whether they have one or two migrant parents,18 as well as their region of origin. The same applies to first generation migrants; there could be differences in coping with the challenges of the perinatal period and associated mental health problems between naturalized and non-naturalized women. To our knowledge, these differences have not been adequately examined. In this study, we examine whether mental health during the perinatal period differs according to women’s migrant status. Thus, we studied the association between migrant status, region of origin and mental health indicators during pregnancy and at 2 months post-partum, adjusting for socio-demographic and economic characteristics, using data from the French nationally representative ELFE birth cohort study. Methods Study design ELFE is an ongoing prospective, longitudinal nationally representative French study (www.elfe-france.fr).19 Participants A total of 17 988 mothers and their infants born in 2011 (n = 18 275) were initially recruited in a representative random sample of 320 maternity wards throughout metropolitan France on a number of pre-selected days throughout the year (four waves: April; June to July; September to October; November to December). To be included, women had to be at least 18 years of age, plan on staying in metropolitan France for the following 3 years and be capable of giving informed consent in one of the study languages (French, English, Arabic and Turkish). Also, only single or twin births, born at or after 33 weeks gestation, were included. Data sources At birth, eligible mothers were interviewed by mid-wives via face-to-face interviews at the maternity ward of delivery. Additionally, study participants completed a self-reported questionnaire (n = 17 988). The second stage of data collection took place about 2 months after the child's birth, through telephone interviews with the mother with a response rate of 91% (n = 16 280) and the father, if the mother participated (n = 12 511). Indicators of mental health We considered three different outcome variables: at the time of the child’s birth, women were asked whether they experienced persistent psychological difficulties during pregnancy (yes vs. no). at 2 months post-partum, depression was measured by the Edinburgh Post-natal Depression Scale (yes (EPDS≥12) vs. no),20 and women reported on their ‘general health’ (average/bad vs. good/very good). Self-reported health has been known to capture not only physical but also mental health and social well-being.21 Mother’s migration status At study enrolment, women were asked about their nationality and country of birth, as well as those of their partner. At 2 months post-partum, women reported their parents’ country of birth. This information was used to identify women’s ‘migrant status’ according to five categories: ‘majority population’ (includes foreign-born persons whose parents were French at birth), ‘descendants (second generation) with one migrant parent’, ‘descendants with two migrant parents’, ‘naturalized migrant women ‘(first generation; women born non-French outside of France who acquired French citizenship) and ‘non-naturalized migrant women’ (women non-French outside of France and who did not have French nationality at the time of data collection). Region of origin Participants’ region of origin was defined as (i) own region of birth for descendants of migrants and (ii) parents’ region of birth for migrants (North Africa and Turkey, Sub-Saharan Africa, non-EU Eastern Europe and Asia, other vs. France/EU). Other covariates Covariates included known risk factors of women’s mental health difficulties and characteristics related to migrant status: demographic characteristics: maternity unit of delivery, maternal age (≤ 30 years vs. > 30 years), educational level (< high school, high school vs. > high school degree), overall number of children (two or more vs. one), residential area (Paris Basin, North, East, West, South-West, Centre-East, others, vs. Paris region), recruitment wave (April, June to July, September to October vs. November to December); socio-economic characteristics: highest house-hold occupational grade (none, low [e.g. clerk, manual worker], intermediate [e.g. mid-level manager, technician], vs. high [e.g. manager]), maternal employment status at the time of pregnancy (unemployed, out of the job market vs. employed); partner characteristics: employment status at the time of pregnancy (unemployed, out of the job market vs. employed), sufficient partner support during pregnancy (not living with a partner, no, vs. yes), nationality (naturalized, migrant vs. native French), and region of origin (North Africa and Turkey, Sub-Saharan Africa, Eastern Europe and Asia, other vs. France/European Union); pregnancy and child characteristics: pregnancy timing (anticipated vs. not anticipated), tobacco use during pregnancy (smoker, former smoker who quit during pregnancy, vs. non-smoker), unplanned caesarean section (yes, vs. no - including planned caesarean section, vaginal and instrumental extraction), child gestational age (<37 weeks vs ≥37 weeks), child sex (girl vs. boy), and feeding method at 2 months (formula vs. breast feeding (including exclusive and partial breastfeeding).- Statistical analysis Missing data on covariates were imputed using multiple imputations by chained equations under fully conditional specification and assuming that data were missing at random.22 The first imputation procedure included all the outcome variables and covariates measured at baseline as well as the maternity unit. The second imputation procedure included all outcome variables measured at 2 months as well as all covariates and the maternity unit. Ten imputed datasets were created for each imputation procedure. A variable that indicated missing values for each outcome was created before imputation and served to select only complete outcome observations for each subsequent analysis on imputed datasets. Logistic regression models were implemented to identify potential confounders among the list of previously described covariates. Variables associated with these outcomes in bivariate analyses (P < 0.20) were included in the multivariate logistic regression models. These models examined associations between migrant status and the region of origin and each study outcome while adjusting for identified confounders, with a random intercept corresponding to the maternity unit of delivery. Interactions between migrant status and region of origin were examined separately for each study outcome. The majority group constituted the reference group in all analyses. Analyses were adjusted for all the listed covariates, except in the analysis of psychological difficulties during pregnancy where covariates measured subsequently (ex. unplanned caesarean, child sex, gestational age and child feeding method) were not included. All analyses were performed with SAS, version 9.4. Multiple imputations were implemented using the ‘PROC MI’ procedure with the fully conditional specification statement. Bivariate and multivariate analyses were conducted separately for each imputed dataset and the results (OR, CI 95%) were pooled using the ‘PROC MIANALYZE’ procedure. Results Table 1 presents descriptive statistics of women included in the analysis. Table 1 Descriptive characteristics of women of the ELFE cohort (n = 17 988) Demographic characteristics (n. %a) Health characteristics (n. %a) Age <30 years 7724 (42.9%) Persistent psychological difficulties Yes 2222 (12.4%) ≥30 years 10 134 (56.3%) No 15524 (86.3%) Educational level < High school degree 3415 (19.0%) Post-partum depression No 13 630 (75.8%) High school 3760 (20.9%) Yes 1903 (10.6%) > High school degree 10 757 (59.8%) Self-reported health at 2 months post-partum Good 14197 (78.9%) Number of children One 8327 (46.3%) Bad 1345 (7.5%) ≥Two 9661 (53.7%) Pregnancy and child characteristics (n. %a) Residential area Paris 3184 (17.7%) Mistimed pregnancy Yes 2156 (12.0%) Paris region 2699 (15.0%) No 15555 (86.5%) North-Pas de Calais 1411 (7.8%) Smoking during pregnancy Non-smokers 10220 (56.8%) East 1592 (8.9%) Former smoker 4020 (22.3%) West 2282 (12.7%) Smoker 3506 (19.5%) South-West 1300 (7.2%) Unplanned caesarean Yes 1869 (10.4%) Centre-East 1784 (9.9%) No 15597 (86.7%) Other 1875 (10.4%) Gestational age <37 weeks 873 (4.9%) Socioeconomic characteristics (n. %a) >=37 weeks 16789 (93.3%) Occupational grade High 1806 (10.0%) Child’s sex Girl 8633 (48.0%) Intermediate 3371 (18.7%) Boy 9148 (50.9%) Low 10 842 (60.3%) Child feeding method at 2 months Breastfeeding (exclusive or partial) 7490 (41.6%) No occupation 1969 (10.9%) Formula 8271 (46.0%) Employment status Employed 13 929 (77.4%) Recruitment wave April 2745 (15.3%) Unemployed 1017 (5.7%) June to July 4533 (25.2%) Sep to Oct 5120 (28.5%) Nov to Dec 5590 (31.1%) Demographic characteristics (n. %a) Health characteristics (n. %a) Age <30 years 7724 (42.9%) Persistent psychological difficulties Yes 2222 (12.4%) ≥30 years 10 134 (56.3%) No 15524 (86.3%) Educational level < High school degree 3415 (19.0%) Post-partum depression No 13 630 (75.8%) High school 3760 (20.9%) Yes 1903 (10.6%) > High school degree 10 757 (59.8%) Self-reported health at 2 months post-partum Good 14197 (78.9%) Number of children One 8327 (46.3%) Bad 1345 (7.5%) ≥Two 9661 (53.7%) Pregnancy and child characteristics (n. %a) Residential area Paris 3184 (17.7%) Mistimed pregnancy Yes 2156 (12.0%) Paris region 2699 (15.0%) No 15555 (86.5%) North-Pas de Calais 1411 (7.8%) Smoking during pregnancy Non-smokers 10220 (56.8%) East 1592 (8.9%) Former smoker 4020 (22.3%) West 2282 (12.7%) Smoker 3506 (19.5%) South-West 1300 (7.2%) Unplanned caesarean Yes 1869 (10.4%) Centre-East 1784 (9.9%) No 15597 (86.7%) Other 1875 (10.4%) Gestational age <37 weeks 873 (4.9%) Socioeconomic characteristics (n. %a) >=37 weeks 16789 (93.3%) Occupational grade High 1806 (10.0%) Child’s sex Girl 8633 (48.0%) Intermediate 3371 (18.7%) Boy 9148 (50.9%) Low 10 842 (60.3%) Child feeding method at 2 months Breastfeeding (exclusive or partial) 7490 (41.6%) No occupation 1969 (10.9%) Formula 8271 (46.0%) Employment status Employed 13 929 (77.4%) Recruitment wave April 2745 (15.3%) Unemployed 1017 (5.7%) June to July 4533 (25.2%) Sep to Oct 5120 (28.5%) Nov to Dec 5590 (31.1%) a Missing values are included in the percentage calculation. Table 1 Descriptive characteristics of women of the ELFE cohort (n = 17 988) Demographic characteristics (n. %a) Health characteristics (n. %a) Age <30 years 7724 (42.9%) Persistent psychological difficulties Yes 2222 (12.4%) ≥30 years 10 134 (56.3%) No 15524 (86.3%) Educational level < High school degree 3415 (19.0%) Post-partum depression No 13 630 (75.8%) High school 3760 (20.9%) Yes 1903 (10.6%) > High school degree 10 757 (59.8%) Self-reported health at 2 months post-partum Good 14197 (78.9%) Number of children One 8327 (46.3%) Bad 1345 (7.5%) ≥Two 9661 (53.7%) Pregnancy and child characteristics (n. %a) Residential area Paris 3184 (17.7%) Mistimed pregnancy Yes 2156 (12.0%) Paris region 2699 (15.0%) No 15555 (86.5%) North-Pas de Calais 1411 (7.8%) Smoking during pregnancy Non-smokers 10220 (56.8%) East 1592 (8.9%) Former smoker 4020 (22.3%) West 2282 (12.7%) Smoker 3506 (19.5%) South-West 1300 (7.2%) Unplanned caesarean Yes 1869 (10.4%) Centre-East 1784 (9.9%) No 15597 (86.7%) Other 1875 (10.4%) Gestational age <37 weeks 873 (4.9%) Socioeconomic characteristics (n. %a) >=37 weeks 16789 (93.3%) Occupational grade High 1806 (10.0%) Child’s sex Girl 8633 (48.0%) Intermediate 3371 (18.7%) Boy 9148 (50.9%) Low 10 842 (60.3%) Child feeding method at 2 months Breastfeeding (exclusive or partial) 7490 (41.6%) No occupation 1969 (10.9%) Formula 8271 (46.0%) Employment status Employed 13 929 (77.4%) Recruitment wave April 2745 (15.3%) Unemployed 1017 (5.7%) June to July 4533 (25.2%) Sep to Oct 5120 (28.5%) Nov to Dec 5590 (31.1%) Demographic characteristics (n. %a) Health characteristics (n. %a) Age <30 years 7724 (42.9%) Persistent psychological difficulties Yes 2222 (12.4%) ≥30 years 10 134 (56.3%) No 15524 (86.3%) Educational level < High school degree 3415 (19.0%) Post-partum depression No 13 630 (75.8%) High school 3760 (20.9%) Yes 1903 (10.6%) > High school degree 10 757 (59.8%) Self-reported health at 2 months post-partum Good 14197 (78.9%) Number of children One 8327 (46.3%) Bad 1345 (7.5%) ≥Two 9661 (53.7%) Pregnancy and child characteristics (n. %a) Residential area Paris 3184 (17.7%) Mistimed pregnancy Yes 2156 (12.0%) Paris region 2699 (15.0%) No 15555 (86.5%) North-Pas de Calais 1411 (7.8%) Smoking during pregnancy Non-smokers 10220 (56.8%) East 1592 (8.9%) Former smoker 4020 (22.3%) West 2282 (12.7%) Smoker 3506 (19.5%) South-West 1300 (7.2%) Unplanned caesarean Yes 1869 (10.4%) Centre-East 1784 (9.9%) No 15597 (86.7%) Other 1875 (10.4%) Gestational age <37 weeks 873 (4.9%) Socioeconomic characteristics (n. %a) >=37 weeks 16789 (93.3%) Occupational grade High 1806 (10.0%) Child’s sex Girl 8633 (48.0%) Intermediate 3371 (18.7%) Boy 9148 (50.9%) Low 10 842 (60.3%) Child feeding method at 2 months Breastfeeding (exclusive or partial) 7490 (41.6%) No occupation 1969 (10.9%) Formula 8271 (46.0%) Employment status Employed 13 929 (77.4%) Recruitment wave April 2745 (15.3%) Unemployed 1017 (5.7%) June to July 4533 (25.2%) Sep to Oct 5120 (28.5%) Nov to Dec 5590 (31.1%) a Missing values are included in the percentage calculation. Out of 17 988 mothers included in the study, 68.4% were in the ‘majority population’ group, 5.8% were descendants with one migrant parent (n = 1046), 5.3% were descendants with two migrant parents (n = 954), 3.6% were naturalized (n = 654) and 8.5% were non-French citizens (n = 1525). Data on migrant status were missing for 8.4% (n = 1515) of the participants. More than half of descendants originated from another country in the European Union (53.4%) and 63.1% of migrants were from North Africa and Turkey. In bivariate analyses, migrant status and the region of origin were associated with all study outcomes (Supplementary table S2); however health outcomes among descendants with one migrant parent were comparable to those of members of the majority population. Additionally, we found a gradient of post-partum depression and self-reported health 2 months post-partum: non-naturalized migrants had worse health than naturalized migrants, who in turn had worse health than descendants with two migrant parents. After adjusting for confounding factors (table 2), particularly socio-economic variables and mother’s age, migrant status and region of origin were no longer associated with persistent psychological difficulties during pregnancy. Table 2 Associations between migrant status and region of origin with mental health in the perinatal period (multivariate logistic regression models, OR; 95% CI): the ELFE birth cohort study (n = 17 988) * : ORa = adjusted OR Psychological difficulties during pregnancy ORa* (95%CI) Poor perceived health, 2 months post-partumORa* (95%CI) Post-partum depression, 2 months post-partumORa* (95%CI) Migrant status (ref = majority population) Descendant, one migrant parent 1.14 (0.92–1.41) 1.08 (0.85–1.38) 0.99 (0.80–1.23) Descendant, two migrant parents 1.05 (0.79–1.41) 1.26 (0.93–1.72) 0.93 (0.70–1.24) Naturalized 1.21 (0.88–1.67) 1.30 (0.88–1.90) 1.11 (0.80–1.55) Non-naturalized 1.08 (0.82–1.42) 1.45 (1.06–1.98) 1.66 (1.27–2.18) Region of origin (ref = France/EU) Eastern Europe, Asia 0.82 (0.52–1.30) 1.23 (0.74–2.04) 1.36 (0.89–2.09) North Africa, Turkey 1.20 (0.91–1.59) 1.40 (1.02–1.94) 1.53 (1.14–2.04) Sub-Saharan Africa 1.16 (0.81–1.66) 1.34 (0.88–2.02) 1.52 (1.06–2.18) Others/Non declared 1.06 (0.70–1.61) 1.67 (1.06–2.64) 1.46 (0.97–2.20) Mother's age(ref≥30 years) <30 years 0.76 (0.69–0.85) 0.63 (0.56–0.72) 0.81 (0.72–0.90) Educational level (ref = >bac) <High school 1.01 (0.88–1.16) 1.39 (1.18–1.64) 1.19 (1.03–1.38) High school 1.07 (0.94–1.21) 1.09 (0.93–1.28) 1.13 (0.99–1.30) Number of children (ref = ≥2) First 0.99 (0.90–1.10) 0.98 (0.86–1.11) 0.97 (0.87–1.08) Residential area (ref = Ile de France) Paris region 1.20 (1.00–1.44) 0.96 (0.79–1.17) 0.94 (0.79–1.11) North-Pas de Calais 1.08 (0.85–1.37) 0.94 (0.73–1.20) 1.00 (0.81–1.24) East 1.09 (0.87–1.36) 0.95 (0.75–1.19) 0.94 (0.77–1.15) West 1.16 (0.94–1.42) 0.92 (0.74–1.14) 0.90 (0.74–1.09) South-West 1.25 (1.00–1.57) 0.93 (0.72–1.19) 0.89 (0.71–1.11) Centre-East 1.26 (1.02–1.55) 1.00 (0.80–1.25) 1.13 (0.93–1.37) Others 1.12 (0.92–1.36) 1.00 (0.81–1.24) 0.83 (0.68–1.01) Mistimed pregnancy (ref = no) Yes 1.99 (1.76–2.24) 1.39 (1.18–1.63) 1.42 (1.24–1.63) Occupational grade (ref = high) Intermediate 1.23 (1.01–1.48) 1.16 (0.90–1.50) 1.16 (0.94–1.43) Low professional 1.11 (0.92–1.32) 1.45 (1.15–1.84) 1.37 (1.12–1.66) No occupation 0.96 (0.73–1.26) 1.42 (1.01–2.00) 1.40 (1.05–1.87) Mother's employment status (ref = working) Out of the job market 0.84 (0.72–0.98) 1.36 (1.14–1.62) 1.17 (1.00–1.36) Unemployed 1.05 (0.87–1.27) 1.37 (1.09–1.72) 1.17 (0.95–1.45) Father's employment status (ref = working) Out of the job market 1.61 (1.28–2.03) 0.95 (0.69–1.31) 1.12 (0.86–1.46) Unemployed 1.21 (0.98–1.50) 1.12 (0.86–1.44) 1.01 (0.80–1.28) Social support during pregnancy (ref = well surrounded) No/insufficient 2.20 (1.90–2.56) 2.06 (1.73–2.45) 2.50 (2.16–2.90) No partner 1.63 (1.33–2.00) 1.26 (0.98–1.62) 1.91 (1.55–2.36) Tobacco use (ref = non-smoker) Former smoker 1.21 (1.08–1.37) 1.09 (0.93–1.26) 1.12 (0.99–1.27) Smoker 1.38 (1.22–1.55) 1.14 (0.97–1.33) 1.05 (0.91–1.20) Partner migrant status (ref = majority population) Naturalized 1.04 (0.73–1.47) 0.89 (0.58–1.36) 0.81 (0.55–1.17) Migrant 1.14 (0.85–1.51) 1.24 (0.87–1.77) 0.92 (0.67–1.26) Region of origin of the partner (ref = France/EU) Eastern Europe, Asia 0.92 (0.57–1.49) 1.04 (0.58–1.85) 1.39 (0.85–2.26) North Africa, Tukey 0.95 (0.68–1.33) 1.02 (0.67–1.55) 1.26 (0.87–1.82) Sub-Saharan Africa 0.97 (0.66–1.43) 1.29 (0.82–2.03) 1.25 (0.84–1.87) Other/Non declared 0.94 (0.61–1.45) 1.05 (0.62–1.78) 1.18 (0.74–1.88) Recruitment wave (ref = November toDecember) April 1.31 (1.14–1.51) 0.99 (0.83–1.18) 1.02 (0.88–1.20) June to July 1.19 (1.05–1.34) 1.06 (0.91–1.23) 1.03 (0.90–1.18) September to October 1.07 (0.95–1.21) 1.00 (0.86–1.16) 1.20 (1.06–1.37) Unplanned caesarean Ref = no Yes 1.23 (1.03–1.47) 1.02 (0.87–1.20) Gestational age (ref≥37 weeks) <37 weeks 1.54 (1.23–1.93) 1.24 (1.00–1.54) Child’s sex(ref = boy) Girl 0.85 (0.75–0.95) 0.80 (0.73–0.89) Child feeding method at 2 months (ref = Breast feeding) Formula 1.45 (1.28–1.64) 1.02 (0.92–1.13) Psychological difficulties during pregnancy ORa* (95%CI) Poor perceived health, 2 months post-partumORa* (95%CI) Post-partum depression, 2 months post-partumORa* (95%CI) Migrant status (ref = majority population) Descendant, one migrant parent 1.14 (0.92–1.41) 1.08 (0.85–1.38) 0.99 (0.80–1.23) Descendant, two migrant parents 1.05 (0.79–1.41) 1.26 (0.93–1.72) 0.93 (0.70–1.24) Naturalized 1.21 (0.88–1.67) 1.30 (0.88–1.90) 1.11 (0.80–1.55) Non-naturalized 1.08 (0.82–1.42) 1.45 (1.06–1.98) 1.66 (1.27–2.18) Region of origin (ref = France/EU) Eastern Europe, Asia 0.82 (0.52–1.30) 1.23 (0.74–2.04) 1.36 (0.89–2.09) North Africa, Turkey 1.20 (0.91–1.59) 1.40 (1.02–1.94) 1.53 (1.14–2.04) Sub-Saharan Africa 1.16 (0.81–1.66) 1.34 (0.88–2.02) 1.52 (1.06–2.18) Others/Non declared 1.06 (0.70–1.61) 1.67 (1.06–2.64) 1.46 (0.97–2.20) Mother's age(ref≥30 years) <30 years 0.76 (0.69–0.85) 0.63 (0.56–0.72) 0.81 (0.72–0.90) Educational level (ref = >bac) <High school 1.01 (0.88–1.16) 1.39 (1.18–1.64) 1.19 (1.03–1.38) High school 1.07 (0.94–1.21) 1.09 (0.93–1.28) 1.13 (0.99–1.30) Number of children (ref = ≥2) First 0.99 (0.90–1.10) 0.98 (0.86–1.11) 0.97 (0.87–1.08) Residential area (ref = Ile de France) Paris region 1.20 (1.00–1.44) 0.96 (0.79–1.17) 0.94 (0.79–1.11) North-Pas de Calais 1.08 (0.85–1.37) 0.94 (0.73–1.20) 1.00 (0.81–1.24) East 1.09 (0.87–1.36) 0.95 (0.75–1.19) 0.94 (0.77–1.15) West 1.16 (0.94–1.42) 0.92 (0.74–1.14) 0.90 (0.74–1.09) South-West 1.25 (1.00–1.57) 0.93 (0.72–1.19) 0.89 (0.71–1.11) Centre-East 1.26 (1.02–1.55) 1.00 (0.80–1.25) 1.13 (0.93–1.37) Others 1.12 (0.92–1.36) 1.00 (0.81–1.24) 0.83 (0.68–1.01) Mistimed pregnancy (ref = no) Yes 1.99 (1.76–2.24) 1.39 (1.18–1.63) 1.42 (1.24–1.63) Occupational grade (ref = high) Intermediate 1.23 (1.01–1.48) 1.16 (0.90–1.50) 1.16 (0.94–1.43) Low professional 1.11 (0.92–1.32) 1.45 (1.15–1.84) 1.37 (1.12–1.66) No occupation 0.96 (0.73–1.26) 1.42 (1.01–2.00) 1.40 (1.05–1.87) Mother's employment status (ref = working) Out of the job market 0.84 (0.72–0.98) 1.36 (1.14–1.62) 1.17 (1.00–1.36) Unemployed 1.05 (0.87–1.27) 1.37 (1.09–1.72) 1.17 (0.95–1.45) Father's employment status (ref = working) Out of the job market 1.61 (1.28–2.03) 0.95 (0.69–1.31) 1.12 (0.86–1.46) Unemployed 1.21 (0.98–1.50) 1.12 (0.86–1.44) 1.01 (0.80–1.28) Social support during pregnancy (ref = well surrounded) No/insufficient 2.20 (1.90–2.56) 2.06 (1.73–2.45) 2.50 (2.16–2.90) No partner 1.63 (1.33–2.00) 1.26 (0.98–1.62) 1.91 (1.55–2.36) Tobacco use (ref = non-smoker) Former smoker 1.21 (1.08–1.37) 1.09 (0.93–1.26) 1.12 (0.99–1.27) Smoker 1.38 (1.22–1.55) 1.14 (0.97–1.33) 1.05 (0.91–1.20) Partner migrant status (ref = majority population) Naturalized 1.04 (0.73–1.47) 0.89 (0.58–1.36) 0.81 (0.55–1.17) Migrant 1.14 (0.85–1.51) 1.24 (0.87–1.77) 0.92 (0.67–1.26) Region of origin of the partner (ref = France/EU) Eastern Europe, Asia 0.92 (0.57–1.49) 1.04 (0.58–1.85) 1.39 (0.85–2.26) North Africa, Tukey 0.95 (0.68–1.33) 1.02 (0.67–1.55) 1.26 (0.87–1.82) Sub-Saharan Africa 0.97 (0.66–1.43) 1.29 (0.82–2.03) 1.25 (0.84–1.87) Other/Non declared 0.94 (0.61–1.45) 1.05 (0.62–1.78) 1.18 (0.74–1.88) Recruitment wave (ref = November toDecember) April 1.31 (1.14–1.51) 0.99 (0.83–1.18) 1.02 (0.88–1.20) June to July 1.19 (1.05–1.34) 1.06 (0.91–1.23) 1.03 (0.90–1.18) September to October 1.07 (0.95–1.21) 1.00 (0.86–1.16) 1.20 (1.06–1.37) Unplanned caesarean Ref = no Yes 1.23 (1.03–1.47) 1.02 (0.87–1.20) Gestational age (ref≥37 weeks) <37 weeks 1.54 (1.23–1.93) 1.24 (1.00–1.54) Child’s sex(ref = boy) Girl 0.85 (0.75–0.95) 0.80 (0.73–0.89) Child feeding method at 2 months (ref = Breast feeding) Formula 1.45 (1.28–1.64) 1.02 (0.92–1.13) Table 2 Associations between migrant status and region of origin with mental health in the perinatal period (multivariate logistic regression models, OR; 95% CI): the ELFE birth cohort study (n = 17 988) * : ORa = adjusted OR Psychological difficulties during pregnancy ORa* (95%CI) Poor perceived health, 2 months post-partumORa* (95%CI) Post-partum depression, 2 months post-partumORa* (95%CI) Migrant status (ref = majority population) Descendant, one migrant parent 1.14 (0.92–1.41) 1.08 (0.85–1.38) 0.99 (0.80–1.23) Descendant, two migrant parents 1.05 (0.79–1.41) 1.26 (0.93–1.72) 0.93 (0.70–1.24) Naturalized 1.21 (0.88–1.67) 1.30 (0.88–1.90) 1.11 (0.80–1.55) Non-naturalized 1.08 (0.82–1.42) 1.45 (1.06–1.98) 1.66 (1.27–2.18) Region of origin (ref = France/EU) Eastern Europe, Asia 0.82 (0.52–1.30) 1.23 (0.74–2.04) 1.36 (0.89–2.09) North Africa, Turkey 1.20 (0.91–1.59) 1.40 (1.02–1.94) 1.53 (1.14–2.04) Sub-Saharan Africa 1.16 (0.81–1.66) 1.34 (0.88–2.02) 1.52 (1.06–2.18) Others/Non declared 1.06 (0.70–1.61) 1.67 (1.06–2.64) 1.46 (0.97–2.20) Mother's age(ref≥30 years) <30 years 0.76 (0.69–0.85) 0.63 (0.56–0.72) 0.81 (0.72–0.90) Educational level (ref = >bac) <High school 1.01 (0.88–1.16) 1.39 (1.18–1.64) 1.19 (1.03–1.38) High school 1.07 (0.94–1.21) 1.09 (0.93–1.28) 1.13 (0.99–1.30) Number of children (ref = ≥2) First 0.99 (0.90–1.10) 0.98 (0.86–1.11) 0.97 (0.87–1.08) Residential area (ref = Ile de France) Paris region 1.20 (1.00–1.44) 0.96 (0.79–1.17) 0.94 (0.79–1.11) North-Pas de Calais 1.08 (0.85–1.37) 0.94 (0.73–1.20) 1.00 (0.81–1.24) East 1.09 (0.87–1.36) 0.95 (0.75–1.19) 0.94 (0.77–1.15) West 1.16 (0.94–1.42) 0.92 (0.74–1.14) 0.90 (0.74–1.09) South-West 1.25 (1.00–1.57) 0.93 (0.72–1.19) 0.89 (0.71–1.11) Centre-East 1.26 (1.02–1.55) 1.00 (0.80–1.25) 1.13 (0.93–1.37) Others 1.12 (0.92–1.36) 1.00 (0.81–1.24) 0.83 (0.68–1.01) Mistimed pregnancy (ref = no) Yes 1.99 (1.76–2.24) 1.39 (1.18–1.63) 1.42 (1.24–1.63) Occupational grade (ref = high) Intermediate 1.23 (1.01–1.48) 1.16 (0.90–1.50) 1.16 (0.94–1.43) Low professional 1.11 (0.92–1.32) 1.45 (1.15–1.84) 1.37 (1.12–1.66) No occupation 0.96 (0.73–1.26) 1.42 (1.01–2.00) 1.40 (1.05–1.87) Mother's employment status (ref = working) Out of the job market 0.84 (0.72–0.98) 1.36 (1.14–1.62) 1.17 (1.00–1.36) Unemployed 1.05 (0.87–1.27) 1.37 (1.09–1.72) 1.17 (0.95–1.45) Father's employment status (ref = working) Out of the job market 1.61 (1.28–2.03) 0.95 (0.69–1.31) 1.12 (0.86–1.46) Unemployed 1.21 (0.98–1.50) 1.12 (0.86–1.44) 1.01 (0.80–1.28) Social support during pregnancy (ref = well surrounded) No/insufficient 2.20 (1.90–2.56) 2.06 (1.73–2.45) 2.50 (2.16–2.90) No partner 1.63 (1.33–2.00) 1.26 (0.98–1.62) 1.91 (1.55–2.36) Tobacco use (ref = non-smoker) Former smoker 1.21 (1.08–1.37) 1.09 (0.93–1.26) 1.12 (0.99–1.27) Smoker 1.38 (1.22–1.55) 1.14 (0.97–1.33) 1.05 (0.91–1.20) Partner migrant status (ref = majority population) Naturalized 1.04 (0.73–1.47) 0.89 (0.58–1.36) 0.81 (0.55–1.17) Migrant 1.14 (0.85–1.51) 1.24 (0.87–1.77) 0.92 (0.67–1.26) Region of origin of the partner (ref = France/EU) Eastern Europe, Asia 0.92 (0.57–1.49) 1.04 (0.58–1.85) 1.39 (0.85–2.26) North Africa, Tukey 0.95 (0.68–1.33) 1.02 (0.67–1.55) 1.26 (0.87–1.82) Sub-Saharan Africa 0.97 (0.66–1.43) 1.29 (0.82–2.03) 1.25 (0.84–1.87) Other/Non declared 0.94 (0.61–1.45) 1.05 (0.62–1.78) 1.18 (0.74–1.88) Recruitment wave (ref = November toDecember) April 1.31 (1.14–1.51) 0.99 (0.83–1.18) 1.02 (0.88–1.20) June to July 1.19 (1.05–1.34) 1.06 (0.91–1.23) 1.03 (0.90–1.18) September to October 1.07 (0.95–1.21) 1.00 (0.86–1.16) 1.20 (1.06–1.37) Unplanned caesarean Ref = no Yes 1.23 (1.03–1.47) 1.02 (0.87–1.20) Gestational age (ref≥37 weeks) <37 weeks 1.54 (1.23–1.93) 1.24 (1.00–1.54) Child’s sex(ref = boy) Girl 0.85 (0.75–0.95) 0.80 (0.73–0.89) Child feeding method at 2 months (ref = Breast feeding) Formula 1.45 (1.28–1.64) 1.02 (0.92–1.13) Psychological difficulties during pregnancy ORa* (95%CI) Poor perceived health, 2 months post-partumORa* (95%CI) Post-partum depression, 2 months post-partumORa* (95%CI) Migrant status (ref = majority population) Descendant, one migrant parent 1.14 (0.92–1.41) 1.08 (0.85–1.38) 0.99 (0.80–1.23) Descendant, two migrant parents 1.05 (0.79–1.41) 1.26 (0.93–1.72) 0.93 (0.70–1.24) Naturalized 1.21 (0.88–1.67) 1.30 (0.88–1.90) 1.11 (0.80–1.55) Non-naturalized 1.08 (0.82–1.42) 1.45 (1.06–1.98) 1.66 (1.27–2.18) Region of origin (ref = France/EU) Eastern Europe, Asia 0.82 (0.52–1.30) 1.23 (0.74–2.04) 1.36 (0.89–2.09) North Africa, Turkey 1.20 (0.91–1.59) 1.40 (1.02–1.94) 1.53 (1.14–2.04) Sub-Saharan Africa 1.16 (0.81–1.66) 1.34 (0.88–2.02) 1.52 (1.06–2.18) Others/Non declared 1.06 (0.70–1.61) 1.67 (1.06–2.64) 1.46 (0.97–2.20) Mother's age(ref≥30 years) <30 years 0.76 (0.69–0.85) 0.63 (0.56–0.72) 0.81 (0.72–0.90) Educational level (ref = >bac) <High school 1.01 (0.88–1.16) 1.39 (1.18–1.64) 1.19 (1.03–1.38) High school 1.07 (0.94–1.21) 1.09 (0.93–1.28) 1.13 (0.99–1.30) Number of children (ref = ≥2) First 0.99 (0.90–1.10) 0.98 (0.86–1.11) 0.97 (0.87–1.08) Residential area (ref = Ile de France) Paris region 1.20 (1.00–1.44) 0.96 (0.79–1.17) 0.94 (0.79–1.11) North-Pas de Calais 1.08 (0.85–1.37) 0.94 (0.73–1.20) 1.00 (0.81–1.24) East 1.09 (0.87–1.36) 0.95 (0.75–1.19) 0.94 (0.77–1.15) West 1.16 (0.94–1.42) 0.92 (0.74–1.14) 0.90 (0.74–1.09) South-West 1.25 (1.00–1.57) 0.93 (0.72–1.19) 0.89 (0.71–1.11) Centre-East 1.26 (1.02–1.55) 1.00 (0.80–1.25) 1.13 (0.93–1.37) Others 1.12 (0.92–1.36) 1.00 (0.81–1.24) 0.83 (0.68–1.01) Mistimed pregnancy (ref = no) Yes 1.99 (1.76–2.24) 1.39 (1.18–1.63) 1.42 (1.24–1.63) Occupational grade (ref = high) Intermediate 1.23 (1.01–1.48) 1.16 (0.90–1.50) 1.16 (0.94–1.43) Low professional 1.11 (0.92–1.32) 1.45 (1.15–1.84) 1.37 (1.12–1.66) No occupation 0.96 (0.73–1.26) 1.42 (1.01–2.00) 1.40 (1.05–1.87) Mother's employment status (ref = working) Out of the job market 0.84 (0.72–0.98) 1.36 (1.14–1.62) 1.17 (1.00–1.36) Unemployed 1.05 (0.87–1.27) 1.37 (1.09–1.72) 1.17 (0.95–1.45) Father's employment status (ref = working) Out of the job market 1.61 (1.28–2.03) 0.95 (0.69–1.31) 1.12 (0.86–1.46) Unemployed 1.21 (0.98–1.50) 1.12 (0.86–1.44) 1.01 (0.80–1.28) Social support during pregnancy (ref = well surrounded) No/insufficient 2.20 (1.90–2.56) 2.06 (1.73–2.45) 2.50 (2.16–2.90) No partner 1.63 (1.33–2.00) 1.26 (0.98–1.62) 1.91 (1.55–2.36) Tobacco use (ref = non-smoker) Former smoker 1.21 (1.08–1.37) 1.09 (0.93–1.26) 1.12 (0.99–1.27) Smoker 1.38 (1.22–1.55) 1.14 (0.97–1.33) 1.05 (0.91–1.20) Partner migrant status (ref = majority population) Naturalized 1.04 (0.73–1.47) 0.89 (0.58–1.36) 0.81 (0.55–1.17) Migrant 1.14 (0.85–1.51) 1.24 (0.87–1.77) 0.92 (0.67–1.26) Region of origin of the partner (ref = France/EU) Eastern Europe, Asia 0.92 (0.57–1.49) 1.04 (0.58–1.85) 1.39 (0.85–2.26) North Africa, Tukey 0.95 (0.68–1.33) 1.02 (0.67–1.55) 1.26 (0.87–1.82) Sub-Saharan Africa 0.97 (0.66–1.43) 1.29 (0.82–2.03) 1.25 (0.84–1.87) Other/Non declared 0.94 (0.61–1.45) 1.05 (0.62–1.78) 1.18 (0.74–1.88) Recruitment wave (ref = November toDecember) April 1.31 (1.14–1.51) 0.99 (0.83–1.18) 1.02 (0.88–1.20) June to July 1.19 (1.05–1.34) 1.06 (0.91–1.23) 1.03 (0.90–1.18) September to October 1.07 (0.95–1.21) 1.00 (0.86–1.16) 1.20 (1.06–1.37) Unplanned caesarean Ref = no Yes 1.23 (1.03–1.47) 1.02 (0.87–1.20) Gestational age (ref≥37 weeks) <37 weeks 1.54 (1.23–1.93) 1.24 (1.00–1.54) Child’s sex(ref = boy) Girl 0.85 (0.75–0.95) 0.80 (0.73–0.89) Child feeding method at 2 months (ref = Breast feeding) Formula 1.45 (1.28–1.64) 1.02 (0.92–1.13) Nevertheless, the association between migrant status and post-partum depression and self-rated health subsisted. In particular, non-naturalized migrant women were more likely to have post-partum depression (OR= 1.66, 95% CI: 1.27–2.18) and more likely to report being in poor health (OR = 1.45, 95%: CI 1.06–1.98) 2 months after giving birth compared to the majority population. The region of origin was also associated with these two outcomes: women from North Africa and Turkey as well as ‘other countries’ were especially likely to be depressed; women from Sub-Saharan Africa and ‘other countries’ were especially likely to report poor health. There were no statistically significant interactions between migrant status and region of origin for the three mental health indicators. Discussion Key results To our knowledge, this is the first European study that examines women’s perinatal mental health in first and second-generation migrant women accounting for geographical region of origin. The present results show that after adjusting for multiple characteristics, only Non-French citizens display higher levels of post-partum depressive symptoms and poor perceived-health than the majority population. Additionally, the region of origin is also associated with post-partum depression (Turkey, North and Sub-Saharan Africa) and poor self-reported health (North Africa, Turkey, Other regions). Overall, women who descend from migrants have similar profiles to those who were born in France of French-citizen parents; however foreign women may require special attention from primary care and mental health professionals during pregnancy and the period that follows. Interpretation The finding that migrant women have worse self-reported health and higher levels of post-partum depression than native women is consistent with findings from other studies.6 Compared to the general population, migrant women disproportionately face stressors such as poor social support, low socioeconomic position, and/or difficulties in adaptation to the host culture that could increase their risk of post-partum depressive symptoms.23 In our study, neither naturalized nor second-generation migrant women were at increased risk of post-partum depression or poor perceived health, unlike non-French citizens, which could be due to differences in adaptation and social inclusion between these two groups. However, we did find an association between women’s region of origin and mental health outcomes, independently of migrant status, which could reflect stressors not related to cultural and societal adaptation such as social adversity and discrimination. A recent review hypothesized that the reason migrants’ life satisfaction in European countries is low is because of discrimination, which does not seem to improve across time or generation.9 In another study, perceived discrimination among pregnant low-income women was associated with depressive symptoms independently of potential confounders, including ethnicity.24 In our study, perceived persistent psychological difficulties during pregnancy were not associated with migrant status or the region of origin. It is possible that this binary indicator could not discriminate increased mental health problems persistently experienced by women with a migrant origin4 from psychological difficulties directly linked to perinatal factors such as a mistimed pregnancy or the lack of partner support. In fact, these two factors had the strongest association with perceived persistent psychological difficulties in the antenatal period. Also, migrant women, especially those who were not French citizens, were more likely to be single mothers and to report a mistimed pregnancy compared to the majority population, therefore these factors possibly ‘mediate’ the association between migrant status and psychological difficulties observed in our bivariate analysis. Limitations A limitation of our study is the lack of data on women’s integration, acculturation and perceived discrimination, even though, among migrants ‘citizenship’ (or naturalization) can be considered as an adequate proxy for acculturation.10 This is especially the case as naturalized women in our study lived in France an average of 8 years more than non-naturalized women (17.2 (SD = 8) vs. 9.3 (SD = 8) and are therefore likely to have arrived at a much earlier age, which is related with the degree of acculturation. An alternative proxy would be the languages spoken at home.25 Approximately 7% of women participating in the ELFE cohort reported using at least two languages in their household, but since most migrants in France and in the study originate from French-speaking countries, language may not be a precise proxy for acculturation in this setting. Another limitation is attrition at 2 months, which may have resulted in an underestimation of the association between migrant status and mental health problems, if most vulnerable women were not included in our follow-up. Nevertheless the associations we report were statistically significant even after adjusting for multiple socio-demographic, economic and partner characteristics. Our study’s main strengths are: (i) the use of data from a large nationally representative cohort of women and children, (ii) measurement of multiple covariates and (iii) the examination of mental health across different categories of migrant status and region of origin. Conclusion Migrant women tend to have comparable mental health difficulties in the perinatal period as women who are not migrant; however, they also face some specific difficulties. Women of North African, Sub-Saharan or Turkish descent are more likely to report post-partum depression, as are women who do not hold French citizenship. Further research should compare women’s perinatal health outcomes in different European countries, which might help distinguish the effects of migration itself, from those of socioeconomic circumstances and patterns of integration in the host country. Acknowledgements The ELFE study is a joint project between INED (Institut National d’Etudes Démographiques), INSERM (Institut National de la Santé et de la Recherche Médicale), EFS (Etablissement Français du Sang), InVS (Institut de Veille Sanitaire), INSEE (Institut National de la Statistique et des Etudes Economiques), the Ministry of Health (DGS, Direction Générale de la Santé), the Ministry of Environment (DGPR, Direction Générale de la Prévention des Risques), the Ministries of Health and Employment (DREES, Direction de la Recherche, des Etudes, de l’Evaluation et des Statistiques), and the CNAF (Caisse Nationale des Allocations Familiales), with the support the Ministry of Research and CCDSHS (Comité de Concertation pour les Données en Sciences Humaines et Sociales) and the Ministry of Culture (DEPS, Département des études, de la prospective et des statistiques). The ELFE study received approvals from the consultative committee for information treatment for health research (Comité Consultatif sur le Traitement des Informations pour la Recherche en Santé: CCTIRS) and the national data protection authority (Commission National Informatique et Libertés: CNIL). Funding The ELFE survey is a joint project between INED (Institut National d’Etudes Démographiques), INSERM (Institut National de la Santé et de la Recherche Médicale), EFS (Etablissement Français du Sang), InVS (Institut de Veille Sanitaire), INSEE (Institut National de la Statistique et des Etudes Economiques), the Ministry of Health (DGS, Direction Générale de la Santé), the Ministry of Environment (DGPR, Direction Générale de la Prévention des Risques), the Ministries of Health and Employment (DREES, Direction de la Recherche, des Etudes, de l’Evaluation et des Statistiques), and the CNAF (Caisse Nationale des Allocations Familiales), with the support of the Ministry of Research and CCDSHS (Comité de Concertation pour les Données en Sciences Humaines et Sociales) and the Ministry of Culture (DEPS, Département des études, de la prospective et des statistiques). This work was supported by funding from the ANR (agence nationale de la recherche) within the framework of the “future investments” programme (reference: anr-11-eqpx-0038), as part of the RECONAI platform. Additionally, this analysis was funded by the SOCIALRISK_MH project funded through the ANR ‘Social determinants of health’ program (2012). Conflicts of interest: None declared. Key points Mental health problems are common in the perinatal period, especially among migrant women, as compared to those who are non-migrant. Descendants of migrants and naturalized migrants have comparable mental health to the majority population of France. Non-naturalized migrant women are especially likely to have post-partum depression and poor self-reported health. Our findings highlight the need to screen for women’s mental health difficulties the perinatal period and develop targeted psychological and social interventions for non-naturalized migrant women who need such support. 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The European Journal of Public HealthOxford University Press

Published: Feb 22, 2018

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