ArticleJournal of multidisciplinary healthcare2023
Gender Differences in the Association Between Sarcopenia and Depressive Symptoms Among Community-Dwelling Older People in a Chinese Suburban Area.
Article in Journal of multidisciplinary healthcare, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.
- The bidirectional association between depression and sarcopenia: a systematic review and meta-analysis.Frontiers in public health · 2025Pooled it
- From muscle to brain: the mediating effect of vitamin D in the relationship between muscle loss and cognitive function in Alzheimer's disease.Frontiers in aging neuroscience · 2026Article
- Associations of sarcopenia with depression and suicidal ideation: the sex-specific mediating role of loneliness.BMC geriatrics · 2025Article
- Association between sarcopenia components and depressed mood varies by sex among community-dwelling older adults from the Korean Frailty and Aging Cohort Study.Scientific reports · 2025Article
- Epigenetic factors and inflammaging: FOXO3A as a potential biomarker of sarcopenia and upregulation of DNMT3A and SIRT3 in older adults.Frontiers in immunology · 2025Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Sarcopenia and depressive symptoms are common disorders in older people; however, there is lacking for studies focus on the association between sarcopenia and depressive symptoms by gender. Thus, we investigate gender differences in the association between sarcopenia and depressive symptoms. Methods: 1119 participants aged ≥65 were included in our study. Sarcopenia was defined as no sarcopenia, possible sarcopenia, general sarcopenia, and severe sarcopenia by the Asian Working Group for Sarcopenia 2019 consensus. Depressive symptoms were assessed by the Geriatric Depression Scale-15. The logistic regression analysis was used to identify the association between sarcopenia and depressive symptoms. Results: No sarcopenia and severe sarcopenia were significantly inversely and positively associated with depressive symptoms only in women. In men, low appendicular skeletal muscle mass index was significantly inversely associated with depressive symptoms. In women, low gait speed was significantly inversely associated with depressive symptoms, while poor 5-time chair stand test was significantly positively associated with depressive symptoms. Conclusion: Our study found that sarcopenia and its diagnostic elements were significantly associated with depressive symptoms in men or women. Interventions for muscle mass and physical performance are necessary for sarcopenia to prevent the development of depressive symptoms timely.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.