Extensive Phenotyping for Potential Weight-Inducing Factors in an Outpatient Population with Obesity
Extensive Phenotyping for Potential Weight-Inducing Factors in an Outpatient Population with Obesity
Savas, Mesut; Wester, Vincent L.; Visser, Jenny A.; Kleinendorst, Lotte; van der Zwaag, Bert; van Haelst, Mieke M.; van den Akker, Erica L.T.; van Rossum, Elisabeth F.C.
2019-01-01 00:00:00
Background: Obesity has been associated with miscellaneous weight-inducing determinants. A comprehensive assessment of known obesity-related factors other than diet and physical activity within one cohort is currently lacking. Objectives: To assess the prevalence of potential contributors to obesity and self-reported triggers for marked weight gain in an adult population with obesity and between obesity classes. Methods: In this observational cohort study, we assessed 408 persons with obesity (aged 41.3 ± 14.2 years, BMI 40.5 ± 6.2) visiting our obesity clinic. They were evaluated for use of weight-inducing drugs, hormonal abnormalities, menarcheal age, (high) birth weight, sleep deprivation, and obstructive sleep apnea syndrome (OSAS). We additionally assessed self-reported triggers for marked weight gain and performed genetic testing in patients suspected of genetic obesity. Results: Nearly half of the patients were using a potentially weight-inducing drug, which was also the most reported trigger for marked weight gain. For the assessed hormonal conditions, a relatively high prevalence was found for hypothyroidism (14.1%), polycystic ovary syndrome (12.0%), and male hypogonadism (41.7%). A relatively low average menarcheal age (12.6 ± 1.8 years) was reported, whereas there was a high prevalence of a high birth weight (19.5%). Sleep deprivation and OSAS were reported in, respectively, 14.5 and 13.7% of the examined patients. Obesity class appeared to have no influence on the majority of the assessed factors. Of the genetically analyzed patients, a definitive genetic diagnosis was made in 3 patients (1.9%). Conclusions: A thorough evaluation of patients with obesity yields a relatively high prevalence of various potentially weight-inducing factors. Diagnostic screening of patients with obesity could therefore benefit these patients by potentially reducing the social stigma and improving the outcomes of obesity treatment programs by tackling, where possible, the weight-inducing factors in advance.
http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.pngObesity FactsKargerhttp://www.deepdyve.com/lp/karger/extensive-phenotyping-for-potential-weight-inducing-factors-in-an-Z9Yp4MWmex
Extensive Phenotyping for Potential Weight-Inducing Factors in an Outpatient Population with Obesity
Background: Obesity has been associated with miscellaneous weight-inducing determinants. A comprehensive assessment of known obesity-related factors other than diet and physical activity within one cohort is currently lacking. Objectives: To assess the prevalence of potential contributors to obesity and self-reported triggers for marked weight gain in an adult population with obesity and between obesity classes. Methods: In this observational cohort study, we assessed 408 persons with obesity (aged 41.3 ± 14.2 years, BMI 40.5 ± 6.2) visiting our obesity clinic. They were evaluated for use of weight-inducing drugs, hormonal abnormalities, menarcheal age, (high) birth weight, sleep deprivation, and obstructive sleep apnea syndrome (OSAS). We additionally assessed self-reported triggers for marked weight gain and performed genetic testing in patients suspected of genetic obesity. Results: Nearly half of the patients were using a potentially weight-inducing drug, which was also the most reported trigger for marked weight gain. For the assessed hormonal conditions, a relatively high prevalence was found for hypothyroidism (14.1%), polycystic ovary syndrome (12.0%), and male hypogonadism (41.7%). A relatively low average menarcheal age (12.6 ± 1.8 years) was reported, whereas there was a high prevalence of a high birth weight (19.5%). Sleep deprivation and OSAS were reported in, respectively, 14.5 and 13.7% of the examined patients. Obesity class appeared to have no influence on the majority of the assessed factors. Of the genetically analyzed patients, a definitive genetic diagnosis was made in 3 patients (1.9%). Conclusions: A thorough evaluation of patients with obesity yields a relatively high prevalence of various potentially weight-inducing factors. Diagnostic screening of patients with obesity could therefore benefit these patients by potentially reducing the social stigma and improving the outcomes of obesity treatment programs by tackling, where possible, the weight-inducing factors in advance.
Trends in adult body-mass index in 200 countries from 1975 to 2014: a pooled analysis of 1698 population-based measurement studies with 19·2 million participants
Collaboration, NC
Putative contributors to the secular increase in obesity: exploring the roads less traveled
Weight gain as an adverse effect of some commonly prescribed drugs: a systematic review
Leslie, WS; Hankey, CR; Lean, ME
Long-term treatment with proton pump inhibitor is associated with undesired weight gain
Yoshikawa, I; Nagato, M; Yamasaki, M; Kume, K; Otsuki, M
Association of prescription H1 antihistamine use with obesity: results from the National Health and Nutrition Examination Survey
Ratliff, JC; Barber, JA; Palmese, LB; Reutenauer, EL; Tek, C
Combination contraceptives: effects on weight
Gallo, MF; Lopez, LM; Grimes, DA; Carayon, F; Schulz, KF; Helmerhorst, FM
Serum levels of sex hormone-binding globulin (SHBG) are not associated with lower levels of non-SHBG-bound testosterone in male newborns and healthy adult men
de Ronde, W; van der Schouw, YT; Pierik, FH; Pols, HA; Muller, M; Grobbee, DE
Obesity: preventing and managing the global epidemic. Report of a WHO consultation
Associations between systemic and local corticosteroid use with metabolic syndrome and body mass index
Savas, M; Muka, T; Wester, VL; van den Akker, EL; Visser, JA; Braunstahl, GJ
Systematic evaluation of corticosteroid use in obese and non-obese individuals: A multi-cohort study
Savas, M; Wester, VL; Staufenbiel, SM; Koper, JW; van den Akker, EL; Visser, JA
The incidence and prevalence of thyroid dysfunction in Europe: a meta-analysis
Effects of long-term treatment with testosterone on weight and waist size in 411 hypogonadal men with obesity classes I-III: observational data from two registry studies
Saad, F; Yassin, A; Doros, G; Haider, A
Body weight loss reverts obesity-associated hypogonadotropic hypogonadism: a systematic review and meta-analysis
Corona, G; Rastrelli, G; Monami, M; Saad, F; Luconi, M; Lucchese, M
Trends in menarcheal age between 1955 and 2009 in the Netherlands
Talma, H; Schönbeck, Y; van Dommelen, P; Bakker, B; van Buuren, S; Hirasing, RA
Age at menarche is associated with prediabetes and diabetes in women (aged 32-81 years) from the general population: the KORA F4 Study
Stöckl, D; Döring, A; Peters, A; Thorand, B; Heier, M; Huth, C
Predictors of overweight and obesity in five to seven-year-old children in Germany: results from cross-sectional studies
To get new article updates from a journal on your personalized homepage, please log in first, or sign up for a DeepDyve account if you don’t already have one.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.