Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2025 May 12;25(1):479.
doi: 10.1186/s12888-025-06924-y.

The interplay between depressive symptoms, body mass index change patterns in adulthood, and all-cause mortality risk: a population-based study

Affiliations

The interplay between depressive symptoms, body mass index change patterns in adulthood, and all-cause mortality risk: a population-based study

Zhixiao Xu et al. BMC Psychiatry. .

Abstract

Background: Recent studies have suggested body mass index (BMI) change patterns in adulthood may be crucial for depression. This purpose of this study is to evaluate the impact of adult BMI change patterns on depression.

Methods: The National Health and Nutrition Examination Survey 2007 to 2018 generated the data. The relationships between adult BMI change patterns and depression / Patient Health Questionnaire 9 (PHQ-9) were investigated using logistic regression and generalized linear model with a Poisson distribution. The relationships between BMI change patterns, depressive symptoms, and all-cause mortality were examined by Cox proportional hazards models. Kaplan-Meier curves were employed to illustrate the cumulative incidence over time. To explore whether adult BMI change patterns mediate this link between depression and all-cause mortality, mediation analysis was conducted.

Results: A total of 10,448 participants were included, with 7.8% reporting depression. Significant differences were observed in demographic, lifestyle, and health characteristics across BMI change patterns. The high-increase pattern was linked to a1.61 times greater odds of depression after adjustment (odds ratio = 1.61, 95% confidence interval (CI): [1.16, 2.24], P = 0.006) compared to the non-overweight pattern. Gender and age differences were also observed. The higher PHQ-9 was correlated with increased all-cause mortality risk, even after adjustment (hazard ratio: 1.03; 95%CI: 1.02-1.05). Mediation analysis revealed that adult BMI change patterns mediated 26.98% of the correlation between depressive symptoms and all-cause mortality.

Conclusion: Persistent obesity in adulthood rises the risk of depression, and BMI change patterns playing a modest role in mediating the link between depressive symptoms and all-cause mortality. Early intervention in individuals at-risk BMI change patterns might reduce depression risk. Future research should investigate whether modifying BMI change patterns can lower depression incidence.

Clinical trial number: Not applicable.

Keywords: Body mass index change patterns; Depression; Mediation; Mortality.

PubMed Disclaimer

Conflict of interest statement

Declarations. Ethics approval and consent to participate: NHANES were reviewed and approved by the National Center for Health Statistics Ethics Review Board, and all participants provided informed consent. Consent for publication: Not applicable. Competing interests: The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Flow chart of participant selection
Fig. 2
Fig. 2
Kaplan-Meier curves illustrating the cumulative incidence of depressive symptom according to BMI change patterns
Fig. 3
Fig. 3
Direct and indirect effects of BMI change pattern groups on mortality with depressive symptom as mediator. Models were adjusted for age, gender, ethnicity, education level, poverty index (< 1.25, 1.25–3.49, ≥ 3.50), smoking status (current, former, never, < 100 cigarettes in life), alcohol consumption (yes or no), physical activity (meet the physical activity guidelines or not), diabetes, hypertension and stroke. PHQ-9 the Patient Health Questionnaire

References

    1. Global regional. and national burden of 12 mental disorders in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. The Lancet Psychiatry. 2022;9:137–50. - PMC - PubMed
    1. Lee S, Lee JP, Lee J, Park JY, Kim EY. Association between depressive symptoms and the risk of all-cause and cardiovascular mortality among US adults. Prog Neuropsychopharmacol Biol Psychiatry. 2023;125:110755. - PubMed
    1. Meng R, Yu C, Liu N, He M, Lv J, Guo Y, et al. Association of depression with All-Cause and cardiovascular disease mortality among adults in China. JAMA Netw Open. 2020;3:e1921043. - PMC - PubMed
    1. Cuijpers P, Vogelzangs N, Twisk J, Kleiboer A, Li J, Penninx BW. Comprehensive Meta-Analysis of excess mortality in depression in the general community versus patients with specific illnesses. AJP. 2014;171:453–62. - PubMed
    1. Miloyan B, Fried E. A reassessment of the relationship between depression and all-cause mortality in 3,604,005 participants from 293 studies. World Psychiatry. 2017;16:219–20. - PMC - PubMed

LinkOut - more resources