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Socioeconomic inequalities in obesity: modelling future trends in Australia
OBJECTIVES: To develop a model to predict future socioeconomic inequalities in body mass index (BMI) and obesity. DESIGN: Microsimulation modelling using BMI data from adult participants of Australian Health Surveys, and published data on the relative risk of mortality in relation to BMI and socioec...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6475338/ https://www.ncbi.nlm.nih.gov/pubmed/30928953 http://dx.doi.org/10.1136/bmjopen-2018-026525 |
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author | Hayes, Alison Tan, Eng Joo Killedar, Anagha Lung, Thomas |
author_facet | Hayes, Alison Tan, Eng Joo Killedar, Anagha Lung, Thomas |
author_sort | Hayes, Alison |
collection | PubMed |
description | OBJECTIVES: To develop a model to predict future socioeconomic inequalities in body mass index (BMI) and obesity. DESIGN: Microsimulation modelling using BMI data from adult participants of Australian Health Surveys, and published data on the relative risk of mortality in relation to BMI and socioeconomic position (SEP), based on education. SETTING: Australia. PARTICIPANTS: 74 329 adults, aged 20 and over from Australian Health Surveys, 1995–2015. PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcomes were BMI trajectories and obesity prevalence by SEP for four birth cohorts, born 10 years apart, centred on 1940, 1950, 1960 and 1970. RESULTS: Simulations projected persistent or widening socioeconomic inequality in BMI and obesity over the adult life course, for all birth cohorts. Recent birth cohorts were predicted to have greater socioeconomic inequality by middle age, compared with earlier cohorts. For example, among men, there was no inequality in obesity prevalence at age 60 for the 1940 birth cohort (low SEP 25% (95% CI 17% to 34%); high SEP 26% (95% CI 19% to 34%)), yet for the 1970 birth cohort, obesity prevalence was projected to be 51% (95% CI 43% to 58%) and 41% (95% CI 36% to 46%) for the low and high SEP groups, respectively. Notably, for more recent birth cohorts, the model predicted the greatest socioeconomic inequality in severe obesity (BMI >35 kg/m(2)) at age 60. CONCLUSIONS: Lower SEP groups and more recent birth cohorts are at higher risk of obesity and severe obesity, and its consequences in middle age. Prevention efforts should focus on these vulnerable population groups in order to avoid future disparities in health outcomes. The model provides a framework for further research to investigate which interventions will be most effective in narrowing the gap in socioeconomic disparities in obesity in adulthood. |
format | Online Article Text |
id | pubmed-6475338 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-64753382019-05-07 Socioeconomic inequalities in obesity: modelling future trends in Australia Hayes, Alison Tan, Eng Joo Killedar, Anagha Lung, Thomas BMJ Open Health Economics OBJECTIVES: To develop a model to predict future socioeconomic inequalities in body mass index (BMI) and obesity. DESIGN: Microsimulation modelling using BMI data from adult participants of Australian Health Surveys, and published data on the relative risk of mortality in relation to BMI and socioeconomic position (SEP), based on education. SETTING: Australia. PARTICIPANTS: 74 329 adults, aged 20 and over from Australian Health Surveys, 1995–2015. PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcomes were BMI trajectories and obesity prevalence by SEP for four birth cohorts, born 10 years apart, centred on 1940, 1950, 1960 and 1970. RESULTS: Simulations projected persistent or widening socioeconomic inequality in BMI and obesity over the adult life course, for all birth cohorts. Recent birth cohorts were predicted to have greater socioeconomic inequality by middle age, compared with earlier cohorts. For example, among men, there was no inequality in obesity prevalence at age 60 for the 1940 birth cohort (low SEP 25% (95% CI 17% to 34%); high SEP 26% (95% CI 19% to 34%)), yet for the 1970 birth cohort, obesity prevalence was projected to be 51% (95% CI 43% to 58%) and 41% (95% CI 36% to 46%) for the low and high SEP groups, respectively. Notably, for more recent birth cohorts, the model predicted the greatest socioeconomic inequality in severe obesity (BMI >35 kg/m(2)) at age 60. CONCLUSIONS: Lower SEP groups and more recent birth cohorts are at higher risk of obesity and severe obesity, and its consequences in middle age. Prevention efforts should focus on these vulnerable population groups in order to avoid future disparities in health outcomes. The model provides a framework for further research to investigate which interventions will be most effective in narrowing the gap in socioeconomic disparities in obesity in adulthood. BMJ Publishing Group 2019-03-30 /pmc/articles/PMC6475338/ /pubmed/30928953 http://dx.doi.org/10.1136/bmjopen-2018-026525 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Health Economics Hayes, Alison Tan, Eng Joo Killedar, Anagha Lung, Thomas Socioeconomic inequalities in obesity: modelling future trends in Australia |
title | Socioeconomic inequalities in obesity: modelling future trends in Australia |
title_full | Socioeconomic inequalities in obesity: modelling future trends in Australia |
title_fullStr | Socioeconomic inequalities in obesity: modelling future trends in Australia |
title_full_unstemmed | Socioeconomic inequalities in obesity: modelling future trends in Australia |
title_short | Socioeconomic inequalities in obesity: modelling future trends in Australia |
title_sort | socioeconomic inequalities in obesity: modelling future trends in australia |
topic | Health Economics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6475338/ https://www.ncbi.nlm.nih.gov/pubmed/30928953 http://dx.doi.org/10.1136/bmjopen-2018-026525 |
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