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Joint Trajectories of Physical Activity and Depressive Symptoms and Incident Cardiometabolic Multimorbidity: A
Wenxuan Zhang1, Yaping Wang2, Xinhua Li1
1Acupuncture and Moxibustion and Massage College of Anhui University of Chinese Medicine, Hefei, China.
Insights
Low physical activity and high depressive symptoms significantly increase the risk of cardiometabolic multimorbidity (CMM) in older adults. Understanding these joint trajectories is key for CMM risk stratification.
Area of Science:
- Gerontology
- Public Health
- Epidemiology
Background:
- Physical activity and depressive symptoms are independently linked to cardiometabolic multimorbidity (CMM).
- Limited evidence exists on the combined, longitudinal impact of physical activity and depressive symptoms on CMM across diverse aging populations.
Purpose of the Study:
- To investigate the joint longitudinal trajectories of physical activity and depressive symptoms.
- To examine the association of these joint trajectories with incident cardiometabolic multimorbidity (CMM) in adults aged 45 and older.
Main Methods:
- Utilized harmonized data from four international aging cohorts (ELSA, HRS, SHARE, CHARLS) with 29,523 participants.
- Employed the KmL3D algorithm to identify joint trajectories of physical activity and depressive symptoms across three survey waves.
- Applied Cox proportional hazards models to assess the risk of incident CMM (hypertension, diabetes, heart disease, stroke).
Main Results:
- Identified four distinct joint trajectory phenotypes within each cohort.
- Trajectories characterized by low physical activity and high depressive symptoms showed the highest risk of incident CMM.
- Hazard ratios for incident CMM ranged from 1.46 to 2.28 across cohorts for the highest-risk trajectories.
Conclusions:
- Joint trajectories of physical activity and depressive symptoms are significantly associated with incident CMM in international aging cohorts.
- Combined behavioral (physical activity) and psychological (depressive symptoms) profiles can inform CMM risk stratification strategies for middle-aged and older adults.
Background:
Physical activity and depressive symptoms have each been associated with cardiometabolic multimorbidity (CMM), but evidence on their joint longitudinal trajectories across diverse ageing populations remains limited.
Methods:
We used harmonized data from four population-based ageing cohorts, including ELSA, HRS, SHARE, and CHARLS. Among 29 523 adults aged 45 years or older, joint trajectories of physical activity and depressive symptoms were identified across three trajectory-defining survey waves using the KmL3D algorithm. Cox proportional hazards models were used to examine associations with incident CMM, defined as the coexistence of two or more of hypertension, diabetes, heart disease, and stroke. Sensitivity and supplementary analyses included proportional hazards diagnostics, time-stratified and extended Cox models, early-event exclusion analyses, conservative covariate adjustment, BMI exclusion, extended covariate models, Z-score-standardized trajectory re-analysis, and E-value calculation.
Results:
Four joint trajectory phenotypes were identified within each cohort. Participants in trajectories characterised by lower physical activity and high depressive symptoms had the highest risk of incident CMM compared with the cohort-specific reference trajectory: ELSA, HR 2.15 (95% CI, 1.67-2.77); HRS, HR 1.46 (95% CI, 1.22-1.74); SHARE, HR 1.85 (95% CI, 1.69-2.03); and CHARLS, HR 2.28 (95% CI, 1.52-3.44). Findings were directionally consistent across sensitivity analyses.
Conclusions:
Joint trajectories of physical activity and depressive symptoms were associated with incident CMM across four international ageing cohorts. Combined behavioural and psychological profiles may help inform CMM risk stratification in middle-aged and older adults.
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