Population-level trends in the distribution of body mass index in Canada, 2000–2014

Population-level trends in the distribution of body mass index in Canada, 2000–2014 Objective Research studying population-level body mass index (BMI) trends document increases in mean or prevalence of overweight/obese but less consideration has been given to describing the changing distribution of BMI. The objective of this research was to perform a detailed analysis of changes in the BMI distribution in Canada. Methods Using data from the CCHS (2000–2014), we analyzed distributional parameters of BMI for 492,886 adults aged 25– 64 years. We further stratified these analyses for women and men, education level, and region of residence. Results Mean BMI has increased for most subgroups of the Canadian population. Mean BMI values were higher for men, while standard deviation (SD) of the BMI distribution was systematically higher in women. Increases in mean BMI were accompanied with increases in SD of BMI across cycles. Across survey cycles, the 95th percentile increased more than 10 times more rapidly compared to the 5th percentile, showing a very unequal change between extreme values in the BMI distribution over time. There was a relationship between SD with BMI, but these relations were generally not different between educational categories and regions. This suggests that the growing inter-individual inequalities (i.e., dispersion) in BMI were not solely attributable to socioeconomic http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Canadian Journal of Public Health Springer Journals

Population-level trends in the distribution of body mass index in Canada, 2000–2014

Download PDF
10 pages
Read Article

Loading next page...
 
/lp/springer_journal/population-level-trends-in-the-distribution-of-body-mass-index-in-IGXoh8sFEz
Publisher
Springer Journals
Copyright
Copyright © 2018 by The Canadian Public Health Association
Subject
Medicine & Public Health; Public Health
ISSN
0008-4263
eISSN
1920-7476
DOI
10.17269/s41997-018-0060-7
Publisher site
See Article on Publisher Site

Abstract

Objective Research studying population-level body mass index (BMI) trends document increases in mean or prevalence of overweight/obese but less consideration has been given to describing the changing distribution of BMI. The objective of this research was to perform a detailed analysis of changes in the BMI distribution in Canada. Methods Using data from the CCHS (2000–2014), we analyzed distributional parameters of BMI for 492,886 adults aged 25– 64 years. We further stratified these analyses for women and men, education level, and region of residence. Results Mean BMI has increased for most subgroups of the Canadian population. Mean BMI values were higher for men, while standard deviation (SD) of the BMI distribution was systematically higher in women. Increases in mean BMI were accompanied with increases in SD of BMI across cycles. Across survey cycles, the 95th percentile increased more than 10 times more rapidly compared to the 5th percentile, showing a very unequal change between extreme values in the BMI distribution over time. There was a relationship between SD with BMI, but these relations were generally not different between educational categories and regions. This suggests that the growing inter-individual inequalities (i.e., dispersion) in BMI were not solely attributable to socioeconomic

Journal

Canadian Journal of Public Health – Springer Journals

Published: Jun 4, 2018

References

  • Age, socioeconomic status and obesity growth
    Baum, CL; Ruhm, CJ
  • How important are determinants of obesity measured at the individual level for explaining geographic variation in body mass index distributions? Observational evidence from Canada using Quantile Regression and Blinder-Oaxaca Decomposition
    Dutton, DJ; McLaren, L
  • National, regional, and global trends in body-mass index since 1980: systematic analysis of health examination surveys and epidemiological studies with 960 country-years and 91 million participants
    Finucane, MM; Stevens, GA; Cowan, MJ; Danaei, G; Lin, JK; Paciorek, CJ
  • Prevalence of obesity and trends in the distribution of body mass index among US adults, 1999–2010
    Flegal, KM; Carroll, MD; Kit, BK; Ogden, CL
  • Transcending the Known in Public Health Practice
    Frohlich, Katherine L.; Potvin, Louise
  • Defining and measuring health inequality: an approach based on the distribution of health expectancy
    Gakidou, EE; Murray, CJ; Frenk, J
  • Evaluating public health interventions: 5. Causal inference in public health research—do sex, race, and biological factors cause health outcomes?
    Glymour, MM; Spiegelman, D
  • Updating the Canadian obesity maps: an epidemic in progress
    Gotay, CC; Katzmarzyk, PT; Janssen, I; Dawson, MY; Aminoltejari, K; Bartley, NL
  • Population-level trends in the distribution of body mass index in England, 1992–2013
    Green, M; Subramanian, S; Razak, F
  • Uneven dietary development: linking the policies and processes of globalization with the nutrition transition, obesity and diet-related chronic diseases
    Hawkes, C
  • Socioeconomic disparities in trajectories of adiposity across childhood
    Howe, LD; Tilling, K; Galobardes, B; Smith, GD; Ness, AR; Lawlor, DA
  • Variation in genetic susceptibility drives increasing dispersion of population BMI
    Jenkins, AB; Campbell, LV
  • Promoting cardiovascular health in the developing world: A Critical Challenge to Achieve Global Health
    Kelly, BB; Fuster, V
  • The widening BMI distribution in the United States
    Kivimäki, M; Stenholm, S; Kawachi, I
  • Trends in group inequalities and interindividual inequalities in BMI in the United States, 1993–2012
    Krishna, A; Razak, F; Lebel, A; Smith, GD; Subramanian, S
  • Race/ethnicity, nativity and trends in BMI among US adults
    Krueger, PM; Coleman-Minahan, K; Rooks, RN
  • Geographic variability in the association between socioeconomic status and BMI in the USA and Canada
    Lebel, A; Kestens, Y; Clary, C; Bisset, S; Subramanian, S
  • Neighborhoods, obesity, and diabetes—a randomized social experiment
    Ludwig, J; Sanbonmatsu, L; Gennetian, L; Adam, E; Duncan, GJ; Katz, LF
  • Global obesity: trends, risk factors and policy implications
    Malik, VS; Willett, WC; Hu, FB
  • Socioeconomic status and obesity
    McLaren, L
  • Contextual influences on the individual life course: building a research framework for social epidemiology
    Merlo, J
  • Health inequalities and social group differences: what should we measure?
    Murray, CJ; Gakidou, EE; Frenk, J
  • Urban-rural differences in BMI in low- and middle-income countries: the role of socioeconomic status
    Neuman, M; Kawachi, I; Gortmaker, S; Subramanian, SV
  • The epidemiology of obesity
    Ogden, CL; Yanovski, SZ; Carroll, MD; Flegal, KM
  • Global nutrition transition and the pandemic of obesity in developing countries
    Popkin, Barry M; Adair, Linda S; Ng, Shu Wen
  • Reply to M Kivimäki et al. and AB Jenkins and LV Campbell
    Razak, F; Smith, GD; Krishna, A; Lebel, A; Subramanian, S
  • The idea of uniform change: is it time to revisit a central tenet of Rose’s “Strategy of Preventive Medicine”?
    Razak, F; Smith, GD; Subramanian, S
  • Bias in self-reported estimates of obesity in Canadian health surveys: an update on correction equations for adults
    Shields, M; Gorber, SC; Janssen, I; Tremblay, MS
  • Occupational class differences in body mass index and weight gain in Japan and Finland
    Silventoinen, K; Tatsuse, T; Martikainen, P; Rahkonen, O; Lahelma, E; Sekine, M
  • Longitudinal change in height of men and women: implications for interpretation of the body mass index: the Baltimore Longitudinal Study of Aging
    Sorkin, JD; Muller, DC; Andres, R
  • Canadian Community Health Survey (CCHS) annual component: user guide 2010 and 2009–2010 microdata files
  • Pathophysiology of human visceral obesity: an update
    Tchernof, A; Després, J-P
  • Current and predicted prevalence of obesity in Canada: a trend analysis
    Twells, LK; Gregory, DM; Reddigan, J; Midodzi, WK
  • Inter-individual inequality in BMI: an analysis of Indonesian Family Life Surveys (1993–2007)
    Vaezghasemi, M; Razak, F; Ng, N; Subramanian, S
  • Probability plotting methods for the analysis of data
    Wilk, MB; Gnanadesikan, R

You’re reading a free preview. Subscribe to read the entire article.

Try 2 weeks free now

DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

or browse the journals available

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create folders to
organize your research

Export folders, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off

Sign up
for free
Start 14 day
Free Trial