Trends in the ability of socioeconomic position to predict individual body mass index: an analysis of repeated cross-sectional data, 1991–2019

Hancock C. Patterns and trends in excess weight among adults in England. UK Health Security Agency. 2021. https://ukhsa.blog.gov.uk/2021/03/04/patterns-and-trends-in-excess-weight-among-adults-in-england/.

Green MA, Subramanian SV, Razak F. Population-level trends in the distribution of body mass index in England, 1992–2013. J Epidemiol Community Health. 2016;70:832–5.

Article  CAS  PubMed  Google Scholar 

Tremmel M, Gerdtham U-G, Nilsson PM, Saha S. Economic burden of obesity: a systematic literature review. Int J Environ Res Public Health. 2017;14:435.

Article  PubMed  PubMed Central  Google Scholar 

Newton S, Braithwaite D, Akinyemiju TF. Socio-economic status over the life course and obesity: systematic review and meta-analysis. PLoS ONE. 2017;12: e0177151.

Article  PubMed  PubMed Central  Google Scholar 

Sommer I, Griebler U, Mahlknecht P, Thaler K, Bouskill K, Gartlehner G, et al. Socioeconomic inequalities in non-communicable diseases and their risk factors: an overview of systematic reviews. BMC Public Health. 2015;15:914.

Article  PubMed  PubMed Central  Google Scholar 

Office for Health Improvement and Disparities. Obesity Profile. Fingertips Public Health Data. 2021. https://fingertips.phe.org.uk/profile/national-child-measurement-programme/data#page/7/gid/1938133368/pat/159/par/K02000001/ati/15/are/E92000001/iid/93881/age/168/sex/4/cat/-1/ctp/-1/yrr/1/cid/4/tbm/1/page-options/ine-yo-1:2020:-1:-1_ine-pt-0_ine-ct-115. Accessed 2 Mar 2023.

Bann D, Johnson W, Li L, Kuh D, Hardy R. Socioeconomic inequalities in body mass index across adulthood: coordinated analyses of individual participant data from three British birth cohort studies initiated in 1946, 1958 and 1970. PLoS Med. 2017;14:e1002214.

Article  PubMed  PubMed Central  Google Scholar 

Hoffmann K, De Gelder R, Hu Y, Bopp M, Vitrai J, Lahelma E, et al. Trends in educational inequalities in obesity in 15 European countries between 1990 and 2010. Int J Behav Nutr Phys Act. 2017;14:63.

Article  PubMed  PubMed Central  Google Scholar 

Zhang Q, Wang Y, Trends in the association between obesity and socioeconomic status in U.S. adults,. to 2000. Obes Res. 1971;2004(12):1622–32.

Google Scholar 

Kino S, Hsu YT, Shiba K, Chien YS, Mita C, Kawachi I, et al. A scoping review on the use of machine learning in research on social determinants of health: trends and research prospects. SSM Popul Health. 2021;15:100836.

Article  PubMed  PubMed Central  Google Scholar 

Katsoulis M, Lai AG, Diaz-Ordaz K, Gomes M, Pasea L, Banerjee A, et al. Identifying adults at high-risk for change in weight and BMI in England: a longitudinal, large-scale, population-based cohort study using electronic health records. Lancet Diabetes Endocrinol. 2021;9:681–94.

Article  PubMed  PubMed Central  Google Scholar 

Health TLP. Tackling obesity seriously: the time has come. The Lancet Public Health. 2018;3:e153.

Article  Google Scholar 

Hamad R, Glymour MM, Calmasini C, Nguyen TT, Walter S, Rehkopf DH. Explaining the variance in cardiovascular disease risk factors: a comparison of demographic, socioeconomic, and genetic predictors. Epidemiology. 2022;33:25.

Article  PubMed  PubMed Central  Google Scholar 

Bann D, Wright L, Hardy R, Williams DM, Davies NM. Polygenic and socioeconomic risk for high body mass index: 69 years of follow-up across life. PLoS Genet. 2022;18:e1010233.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Vaezghasemi M, Razak F, Ng N, Subramanian SV. Inter-individual inequality in BMI: an analysis of Indonesian Family Life Surveys (1993–2007). SSM Popul Health. 2016;2:876–88.

Article  PubMed  PubMed Central  Google Scholar 

Kim R, Lippert AM, Wedow R, Jimenez MP, Subramanian SV. The relative contributions of socioeconomic and genetic factors to variations in body mass index among young adults. Am J Epidemiol. 2020;189:1333–41.

Article  PubMed  PubMed Central  Google Scholar 

Kim R, Kawachi I, Coull BA, Subramanian SV. Contribution of socioeconomic factors to the variation in body-mass index in 58 low-income and middle-income countries: an econometric analysis of multilevel data. Lancet Glob Health. 2018;6:e777–86.

Article  PubMed  Google Scholar 

Elks CE, den Hoed M, Zhao JH, Sharp SJ, Wareham NJ, Loos RJF, et al. Variability in the heritability of body mass index: a systematic review and meta-regression. Front Endocrinol (Lausanne). 2012;3:29.

Article  PubMed  Google Scholar 

Plomin R, Daniels D. Why are children in the same family so different from one another? Behav Brain Sci. 1987;10:1–16.

Article  Google Scholar 

Smith GD. Epidemiology, epigenetics and the ‘Gloomy Prospect’: embracing randomness in population health research and practice. Int J Epidemiol. 2011;40:537–62.

Article  PubMed  Google Scholar 

Salganik MJ, Lundberg I, Kindel AT, Ahearn CE, Al-Ghoneim K, Almaatouq A, et al. Measuring the predictability of life outcomes with a scientific mass collaboration. Proc Natl Acad Sci USA. 2020;117:8398–403.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Krishna A, Razak F, Lebel A, Smith GD, Subramanian SV. Trends in group inequalities and interindividual inequalities in BMI in the United States, 1993–2012. Am J Clin Nutr. 2015;101:598–605.

Article  CAS  PubMed  Google Scholar 

Kim S, Subramanian SV, Oh J, Razak F. Trends in the distribution of body mass index and waist circumference among South Korean adults, 1998–2014. Eur J Clin Nutr. 2018;72:198–206.

Article  PubMed  Google Scholar 

Lebel A, Subramanian SV, Hamel D, Gagnon P, Razak F. Population-level trends in the distribution of body mass index in Canada, 2000–2014. Can J Public Health. 2018;109:539–48.

Article  PubMed  PubMed Central  Google Scholar 

Wagner KJP, Boing AF, Cembranel F, Boing AC da S, Subramanian SV. Change in the distribution of body mass index in Brazil: analysing the interindividual inequality between 1974 and 2013. J Epidemiol Community Health. 2019;73:544–8.

McAllister EJ, Dhurandhar NV, Keith SW, Aronne LJ, Barger J, Baskin M, et al. Ten putative contributors to the obesity epidemic. Crit Rev Food Sci Nutr. 2009;49:868–913.

Article  PubMed  PubMed Central  Google Scholar 

NatCen Social Research, University College London. Health Survey for England. 2023. https://doi.org/10.5255/UKDA-SERIES-2000021.

Mindell J, Biddulph JP, Hirani V, Stamatakis E, Craig R, Nunn S, et al. Cohort profile: the health survey for England. Int J Epidemiol. 2012;41:1585–93.

Article  PubMed  Google Scholar 

NHS Digital. Health survey for England. 2023. https://digital.nhs.uk/data-and-information/publications/statistical/health-survey-for-england. Accessed 4 Sept 2023.

Bhaskaran K, dos-Santos-Silva I, Leon DA, Douglas IJ, Smeeth L. Association of BMI with overall and cause-specific mortality: a population-based cohort study of 3·6 million adults in the UK. Lancet Diabetes Endocrinol. 2018;6:944–53.

Galobardes B. Indicators of socioeconomic position (part 1). J Epidemiol Community Health. 2006;60:7–12.

Article  PubMed  PubMed Central  Google Scholar 

McLaren L. Socioeconomic status and obesity. Epidemiol Rev. 2007;29:29–48.

Article  PubMed  Google Scholar 

Office for National Statistics. Education, England and Wales: Census 2021. 2023. https://www.ons.gov.uk/peoplepopulationandcommunity/educationandchildcare/bulletins/educationenglandandwales/census2021#measuring-the-data. Accessed 4 Sept 2023.

Johnson W, Li L, Kuh D, Hardy R. How has the age-related process of overweight or obesity development changed over time? Co-ordinated analyses of individual participant data from five United Kingdom birth cohorts. PLoS Med. 2015;12:e1001828.

Article  PubMed  PubMed Central  Google Scholar 

Kanerva N, Kontto J, Erkkola M, Nevalainen J, Männistö S. Suitability of random forest analysis for epidemiological research: exploring sociodemographic and lifestyle-related risk factors of overweight in a cross-sectional design. Scand J Public Health. 2018;46:557–64.

Article  PubMed  Google Scholar 

Weng SF, Vaz L, Qureshi N, Kai J. Prediction of premature all-cause mortality: a prospective general population cohort study comparing machine-learning and standard epidemiological approaches. PLoS ONE. 2019;14:e0214365.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Kolenikov S. Resampling variance estimation for complex survey data. Stand Genomic Sci. 2010;10:165–99.

Google Scholar 

Bann D, Fluharty M, Hardy R, Scholes S. Socioeconomic inequalities in blood pressure: co-ordinated analysis of 147,775 participants from repeated birth cohort and cross-sectional datasets, 1989 to 2016. BMC Med. 2020;18:338.

Article  PubMed  PubMed Central  Google Scholar 

Seligman B, Tuljapurkar S, Rehkopf D. Machine learning approaches to the social determinants of health in the health and retirement study. SSM - Population Health. 2018;4:95–9.

Article  PubMed  Google Scholar 

Domingue BW, Kanopka K, Mallard TT, Trejo S, Tucker-Drob EM. Modeling interaction and dispersion effects in the analysis of gene-by-environment interaction. Behav Genet. 2022;52:56–64.

Article  PubMed  Google Scholar 

Rokholm B, Silventoinen K, Tynelius P, Gamborg M, Sørensen TIA, Rasmussen F. Increasing genetic variance of body mass index during the Swedish obesity epidemic. PLoS ONE. 2011;6:e27135.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Zandieh R, Flacke J, Martinez J, Jones P, Van Maarseveen M. Do inequalities in neighborhood walkability drive disparities in older adults’ outdoor walking? Int J Environ Res Public Health. 2017;14:740.

Article  PubMed  PubMed Central  Google Scholar 

Pepe MS, Janes H, Longton G, Leisenring W, Newcomb P. Limitations of the odds ratio in gauging the performance of a diagnostic, prognostic, or screening marker. Am J Epidemiol. 2004;159:882–90.

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