Association of Relative Fat Mass with Incident Depressive Symptoms among Older Adults: A 14-Year Analysis of the ELSA and HRS Cohorts

ObjectiveNot known is whether relative fat mass (RFM)-a height- and waist-based estimator of total adiposity-predicts late-life depressive symptoms better than conventional anthropometrics.MethodsThis study analyzed harmonized data from two nationally representative aging cohorts: the English Longitudinal Study of Ageing (ELSA) and the US Health and Retirement Study (HRS). Adults ≥50 years without baseline depressive symptoms (CES-D-8 <3) and with valid anthropometrics and covariates were followed biennially for up to 14 years (ELSA n = 4176; HRS n = 5054). RFM was computed from measured height and waist circumference and examined continuously (each 1-standard deviation [SD] increase) and by tertiles. Incident depressive symptoms were defined as CES-D-8 ≥3 at follow-up. Cox models estimated hazard ratios (HR) with progressive adjustment. Dose-response was assessed using restricted cubic splines. Predictive performance was compared with body mass index (BMI) and waist circumference (WC) via time-dependent AUCs. Sensitivity analyses used multiple imputation and propensity-score matching.ResultsOver a mean of 8.60 years (ELSA) and 8.57 years (HRS), 1467 and 1769 participants developed incident depressive symptoms. Higher baseline RFM predicted incident depressive symptoms in both cohorts (for each 1-SD, Model 3: ELSA HR = 1.15, 95% CI = 1.06-1.25; HRS HR = 1.10, 95% CI = 1.05-1.16). Compared with low RFM, high RFM remained associated with higher risk (ELSA HR = 1.37, 95% CI = 1.12-1.67; HRS HR = 1.29, 95% CI = 1.14-1.46). Restricted cubic splines suggested a J-shaped association. Time-dependent AUCs showed RFM consistently outperformed BMI and WC across follow-up. Findings were robust in multiple imputation and propensity-matched analyses.ConclusionsIn two national cohorts of older adults, higher RFM was prospectively associated with incident depressive symptoms and demonstrated superior time-varying discrimination compared with BMI and WC, supporting RFM as a pragmatic tool for late-life depressive symptoms risk stratification.

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Journal
The International Journal of Psychiatry in Medicine
Published
2025-12-26
DOI
https://doi.org/10.1177/00912174251410075
Citations
1
Primary Topic
Nutrition and Health in Aging
Type
article
Field-Weighted Citation Impact
1.16
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article

Association of Relative Fat Mass with Incident Depressive Symptoms among Older Adults: A 14-Year Analysis of the ELSA and HRS Cohorts

Jingke Tu, Meng-qin Tu, Tao-ping Yi
1 citations
The International Journal of Psychiatry in Medicine
Nutrition and Health in Aging
1.16
article

Association of Relative Fat Mass with Incident Depressive Symptoms among Older Adults: A 14-Year Analysis of the ELSA and HRS Cohorts

Jingke Tu, Meng-qin Tu, Tao-ping Yi
article en
1 citations

Abstract

ObjectiveNot known is whether relative fat mass (RFM)-a height- and waist-based estimator of total adiposity-predicts late-life depressive symptoms better than conventional anthropometrics.MethodsThis study analyzed harmonized data from two nationally representative aging cohorts: the English Longitudinal Study of Ageing (ELSA) and the US Health and Retirement Study (HRS). Adults ≥50 years without baseline depressive symptoms (CES-D-8 <3) and with valid anthropometrics and covariates were followed biennially for up to 14 years (ELSA n = 4176; HRS n = 5054). RFM was computed from measured height and waist circumference and examined continuously (each 1-standard deviation [SD] increase) and by tertiles. Incident depressive symptoms were defined as CES-D-8 ≥3 at follow-up. Cox models estimated hazard ratios (HR) with progressive adjustment. Dose-response was assessed using restricted cubic splines. Predictive performance was compared with body mass index (BMI) and waist circumference (WC) via time-dependent AUCs. Sensitivity analyses used multiple imputation and propensity-score matching.ResultsOver a mean of 8.60 years (ELSA) and 8.57 years (HRS), 1467 and 1769 participants developed incident depressive symptoms. Higher baseline RFM predicted incident depressive symptoms in both cohorts (for each 1-SD, Model 3: ELSA HR = 1.15, 95% CI = 1.06-1.25; HRS HR = 1.10, 95% CI = 1.05-1.16). Compared with low RFM, high RFM remained associated with higher risk (ELSA HR = 1.37, 95% CI = 1.12-1.67; HRS HR = 1.29, 95% CI = 1.14-1.46). Restricted cubic splines suggested a J-shaped association. Time-dependent AUCs showed RFM consistently outperformed BMI and WC across follow-up. Findings were robust in multiple imputation and propensity-matched analyses.ConclusionsIn two national cohorts of older adults, higher RFM was prospectively associated with incident depressive symptoms and demonstrated superior time-varying discrimination compared with BMI and WC, supporting RFM as a pragmatic tool for late-life depressive symptoms risk stratification.

The International Journal of Psychiatry in MedicineVol. 61(2)
Second Hospital of Yichang (CN), The Affiliated Yongchuan Hospital of Chongqing Medical University (CN), Chongqing Medical University (CN)
Openalex Percentile: Top 15%
Nutrition and Health in Aging
1.16
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