Association between depression and BMI in young adults

Haoshuang Wang

doi:10.62051/39y78d21

Authors

Haoshuang Wang

DOI:

https://doi.org/10.62051/39y78d21

Keywords:

depression; BMI; logistic regression model; physical and mental health.

Abstract

Globally, depression significantly affecting people's quality of life with a range of negative health outcomes. Previous studies have confirmed a link between BMI and depression. Consequently, this study focused on data spanning from 2017 to March 2020, encompassing individuals aged 18 to 30 years within the National Health and Nutrition Examination Survey (NHANES). The study included 1635 participants, with complete data and selected covariates. Then, used weighted logistic regression models to investigate the connection between depression and BMI. Given the significant influence of gender, subgroup analysis was performed to compare the varying impact of BMI between males and females. Ultimately, the analysis of model results revealed a noteworthy positive correlation between BMI and depression within the 18-30 age group, with women experiencing a more pronounced effect than men. In conclusion, reducing BMI emerges as a potential strategy to mitigate the risk of depression.

Downloads

Download data is not yet available.

References

Depression. World Health Organisation 31 March 2023 [cited 2023 10 September]; Available from: https: //www.who.int/news-room/fact-sheets/detail/depression.

Luppino, F.S., et al., Overweight, obesity, and depression: a systematic review and meta-analysis of longitudinal studies. Arch Gen Psychiatry, 2010. 67 (3): p. 220 - 9.

Lee, J.H., et al., U-shaped relationship between depression and body mass index in the Korean adults. Eur Psychiatry, 2017. 45: p. 72 - 80.

W, L., et al., Analysis of the interactive effects of obesity and central obesity on hypertension. Preventive Medicine, 2022. 34 (02): p. 129 - 134.

Limei，S, A cross-sectional study on the use of body mass index and waist circumference in predicting the risk of hypertension and diabetes among residents. Smart Health, 2021. 7 (15): p. 127 - 129.

Wenxing, L., Study on factors influencing the quality of life of overweight/obese children and adolescents. 2019, Hangzhou Normal University.

Mental health. Center for Disease Control and Prevent June 1, 2023 [cited 2023 10 September]; Available from: https://www.cdc.gov/healthyyouth/mental-health/.

New Global Burden of Disease analyses show depression and anxiety among the top causes of health loss worldwide, and a significant increase due to the COVID-19 pandemic. Institute of Health Metrics and Evaluation 8 October, 2021 [cited 2023 10 September]; Available from: https://www.healthdata.org/news-events/insights-blog/acting-data/new-global-burden-disease-analyses-show-depression-and.

Centers for Disease Control and Prevention (CDC) National Center for Health Statistics (NCHS) National Health and Examination Survey Data 2017- March 2020 Pre-pandemic [cited 2023 10 September]; Available from: https://wwwn.cdc.gov/nchs/nhanes/continuousnhanes/default.aspx?Cycle=2017-2020.

Kroenke, K., R.L. Spitzer, and J.B. Williams, The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med, 2001. 16 (9): p. 606 - 13.

Tyrrell, J., et al., Using genetics to understand the causal influence of higher BMI on depression. International journal of epidemiology, 2019. 48 (3): p. 834 - 848.

Shunsen, H., et al., Comparison of core symptoms of depression and gender and depression levels among Chinese adolescents: based on network analysis method. Psychological science, 2022. 45 (05): p. 1115 - 1122.

Boshu, Z. and L. Yu. Meta-analysis of the effects of exercise intervention on depression levels in adult patients with depression. in The 12th National Sports Science Conference. 2022. Rizhao, Shandong, China.

Wenjie, L., Investigation and determination of the mental health status of poor students based on mathematical statistics methods. Ergonomics, 2021. 27 (03): p. 73 - 75.

Siyao, S., D. MIao, and I. Ying, Research progress on the comorbidity of diabetes and depression. General Nursing, 2021. 19 (34): p. 4804 - 4809.