Socioeconomic Inequality and Lifestyle Mediation in Obesity: Evidence from Adults in Los Angeles, 2019–2023

Authors

  • Chenhao Dong

DOI:

https://doi.org/10.61173/rq2b6682

Keywords:

Obesity, Socioeconomic Status, Body Mass Index, Social Determinants

Abstract

The rates of overweight and obesity in the past few decades have increased throughout the world, subjecting increasingly larger populations to high cholesterol, blood pressure, and cardiovascular disease. Some populations have a higher level of burden than others. This essay is interested in how socioeconomic status (SES) and daily lifestyle choices might work together as BMI variation determinants in different populations in the Los Angeles area. With data from large health surveys, the California Health Interview Survey (CHIS), this study will take adults aged 18-65 in Los Angeles as its research target and consider their BMI, occupation, smoking/drinking habits, social status, income, and level of education. This study examined Los Angeles adult data and determined a strong SES–obesity gradient. Among lifestyle variables, frequency of fast-food intake had the closest to a clear dose–response. Binge drinking, current smoking status, and heavy device use had modest contrasts. Altogether, the results are compatible with partial mediation, whereby structural disadvantage augments convenience-ingredient dependence on convenience-dense foods that are energydense to illuminate SES gaps in corpulence. These results suggest combined remedies: structural policies that enhance economic and food environments along with behavioral assists that lessen fast-food-based dependence, particularly among lower-SES communities.

References

[1] World Health Organization. Obesity and overweight. World Health Organization, 2024-03-09. Available at: https://www. who.int/news-room/fact-sheets/detail/obesity-and-overweight (Accessed: 2025-09-05).

[2] Autret K, Bekelman TA, et al. Socioeconomic status and obesity. Journal of the Endocrine Society, 2024, 8(11): bvae176. https://doi.org/10.1210/jendso/bvae176

[3] Hoebel J, Finger JD, Kuntz B, Lampert T. Socioeconomic inequalities in obesity and overweight in 19 European countries in 2009 and 2017: The widening gap. International Journal for Equity in Health, 2019, 18(1): 117. https://doi. org/10.1159/000499718

[4] Pourfarzi F, Abedi M, Khedmatgozar HR, Shayan Z. Socioeconomic inequalities in obesity in Iran: A decomposition analysis. BMC Endocrine Disorders, 2022, 22(1): 296. https:// doi.org/10.1186/s12902-022-01096-2

[5] White J, Rehkopf D, Avendano M, Glymour MM. Socioeconomic disparities in obesity: A global perspective. International Journal of Obesity, 2022, 46(9): 1603–1616. https://doi.org/10.1038/s41366-022-01171-7

[6] Drewnowski A, Specter SE. Poverty and obesity: The role of energy density and energy costs. The American Journal of Clinical Nutrition, 2004, 79(1): 6–16. https://doi.org/10.1093/ ajcn/79.1.6

[7] Selvakumaran S, Lin CY, Hadgraft N, Chandrabose M, Owen N, Sugiyama T. Area-level socioeconomic inequalities in overweight and obesity: Systematic review on moderation by built-environment attributes. Health & Place, 2023, 83: 103101. https://doi.org/10.1016/j.healthplace.2023.103101

[8] van Erpecum CPL, van Zon SKR, Bültmann U, Smidt N. Effects of changes in residential fast-food outlet exposure on body mass index change: Longitudinal evidence from 92,211 Lifelines participants. International Journal of Behavioral Nutrition and Physical Activity, 2024, 21: 31. https://doi. org/10.1186/s12966-024-01577-8

[9] Rezaei M, Ghadamgahi F, Jayedi A, Arzhang P, Yekaninejad MS, Azadbakht L. The association between food insecurity and obesity, a body shape index and body roundness index among US adults. Scientific Reports, 2024, 14: 23631. https://doi. org/10.1038/s41598-024-74108-x

[10] Golzarand M, Salari-Moghaddam A, Mirmiran P. Association between alcohol intake and overweight and obesity: A systematic review and dose–response meta-analysis of 127 observational studies. Critical Reviews in Food Science and Nutrition, 2022, 62(29): 8078–8098. https://doi.org/10.1080/104 08398.2021.1925221

[11] Preston SH, Stokes A. Obesity paradox: Conditioning on disease enhances biases in estimating the mortality risks of obesity. Epidemiology, 2014, 25(3): 454–461. https://doi. org/10.1097/EDE.0000000000000075

Downloads

Published

2025-12-19