Resistance Training Improves Heart Health in Older Women Regardless of Depression Status
12 weeks of resistance training cut cardiovascular risk factors equally in older women with and without depression, suggesting RT works universally.
Summary
A Brazilian trial enrolled 79 older women — 52 without and 27 with diagnosed depressive disorders — to test whether depression modifies how well resistance training (RT) improves cardiovascular health. All participants first completed a 12-week control period maintaining normal habits, then crossed over into 12 weeks of structured RT. Researchers tracked blood markers including C-reactive protein, cholesterol fractions, triglycerides, and glucose, alongside anxiety and depressive symptom scores. The key finding: RT improved cardiovascular risk factors comparably in both groups. Depression did not blunt the cardiac benefits of strength training. This is encouraging for clinicians, since older women with depression are often considered higher-risk or harder to treat, yet they appear to gain the same heart-protective benefits from lifting weights as their peers without depression.
Detailed Summary
Cardiovascular disease remains the leading cause of death in older adults, and depression is known to independently elevate cardiovascular risk. For clinicians managing older women who have both conditions, a critical question is whether depression undermines the well-established heart benefits of exercise — particularly resistance training.
This non-randomized crossover trial from Universidade Estadual de Londrina enrolled 79 older women, splitting them into two groups: 52 without depressive disorders and 27 with a formal diagnosis. All participants spent 12 weeks in a control condition, maintaining habitual routines, before crossing over to 12 weeks of supervised resistance training. Cardiovascular risk markers — high-sensitivity C-reactive protein (hs-CRP), fasting glucose, total cholesterol, HDL-c, LDL-c, and triglycerides — were measured at each phase. Anxiety and depressive symptoms were assessed using the Beck Anxiety Inventory and PHQ-9. A Linear Mixed Model was used to compare between-group responses.
The central finding was that resistance training improved cardiovascular risk factors equally in both groups. Women with depressive disorders did not experience a diminished response to training compared to those without. This suggests that the metabolic and inflammatory benefits of RT are preserved even in the context of clinically relevant depression.
For clinicians and health-conscious older adults, this finding is clinically meaningful. It reinforces resistance training as a robust, accessible intervention that should not be withheld or deprioritized in older women simply because they carry a diagnosis of depression. The dual benefit — potential mood improvement plus cardiovascular risk reduction — makes RT especially attractive in this population.
Several caveats apply. The trial was non-randomized, which introduces selection and allocation bias. The sample was modest (27 women with depression), limiting statistical power. The summary here is based on the abstract only, so full results, training protocols, and effect sizes cannot be evaluated. Generalizability beyond similar Brazilian older female populations is unclear.
Key Findings
- 12 weeks of resistance training improved CVD risk markers equally in older women with and without depression.
- Depression did not blunt improvements in cholesterol, triglycerides, glucose, or inflammatory markers after RT.
- Both groups showed reduced cardiovascular risk factors relative to the no-exercise control period.
- PHQ-9 and BAI tracked mood changes, enabling assessment of mental health alongside physical outcomes.
- Findings support prescribing resistance training to older women regardless of depressive disorder diagnosis.
Methodology
Non-randomized crossover design with 79 older women; all completed a 12-week habitual-routine control phase followed by 12 weeks of supervised resistance training. Cardiovascular risk biomarkers and validated mood scales were measured at each timepoint. Linear Mixed Models compared responses between women with and without depressive disorders.
Study Limitations
The non-randomized design limits causal inference and introduces allocation bias. The depressed subgroup (n=27) is relatively small, reducing statistical power to detect subtle between-group differences. This summary is based on the abstract only; full methodology, training protocols, and detailed effect sizes were not available for review.
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