Objectives: We aimed to investigate longitudinal associations of overall social support and its sub-domains with risk of sarcopenia and its related traits in community-dwelling Chinese aged ≥ 50 years. We also explored interaction effects of potential factors on such associations.
Design: A prospective cohort study.
Setting: Community-based setting in western China.
Participants: We included participants aged ≥50 years with complete information necessary for analysis from the WCHAT study who did not have sarcopenia at baseline (2018) and had sufficient data for sarcopenia assessment during 2021-2023.
Measurements: Exposures included overall social support, subjective support, objective support and support utilization, which were assessed with the Social Support Rating Scale. Outcomes included sarcopenia, low muscle mass (LMM), low muscle strength and low physical performance, which were diagnosed with the 2019 AWGS consensus. Longitudinal associations between the exposures and outcomes were estimated by logistic regression, with generalized estimating equations (GEE) as sensitivity analyses. Subgroup analyses by potential covariates were conducted to detect interaction effects.
Results: A total of 1905 participants were finally included in the analytic sample, of whom 326 (17.1%) developed incident sarcopenia during 5-year follow-up. After controlling for confounders, higher degree of overall social support (OR = 0.87, 95%CI 0.76-0.99), subjective support (OR = 0.88, 95%CI 0.77-0.99) and support utilization (OR = 0.87, 95%CI 0.77-0.99) correlated with lower sarcopenia risk, among which higher support utilization degree was indicative of lower risk for LMM (OR = 0.88, 95%CI 0.79-0.98). GEE further revealed that overall support degree was negatively associated with risk for sarcopenia (OR = 0.86, 95%CI 0.76-0.98) and LMM (OR = 0.87, 95%CI 0.77-0.99). Objective support was neither significantly associated with sarcopenia nor its traits. No significant interaction effect was observed between overall support and the concerned confounders on sarcopenia (interaction P-value > 0.05).
Conclusion: Overall social support degree was negatively associated with sarcopenia risk, possibly primarily through affecting muscle mass rather than muscle strength or physical performance, and such an association remained robust across subgroups with distinct characteristics. This holds implications for policymakers to conduct population-based risk assessment, and supportive strategies against sarcopenia should focus on enhancing subjective support and support utilization rather than objective support alone.
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http://dx.doi.org/10.1016/j.jnha.2023.100014 | DOI Listing |
Medicine (Baltimore)
January 2025
Students Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Social media are Internet-based services that allow participation in online communities and exchanges. Considering the high and increasing statistics of the use of social media all over the world and its impact on people's lives, the present study aimed to determine the relationship between social media and nutritional attitudes and body image shame among Iranian female students. This cross-sectional study was performed on 201 female student of Tehran University of Medical Sciences in Tehran, Iran from May to December 2023.
View Article and Find Full Text PDFJCO Oncol Pract
January 2025
School of Nursing, Fudan University, Shanghai, China.
Purpose: To explore strategies related to cancer-related financial toxicity (FT) from the perspectives of cancer survivors and stakeholders in China and to evaluate their views within the context of the social ecological model (SEM).
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J Med Internet Res
January 2025
Department of Social Sciences and Health Policy, Wake Forest University School of Medicine, Medical Center Boulevard, Winston-Salem, US.
Background: Most cancer survivors have multiple cardiovascular risk factors, increasing their risk of poor cardiovascular and cancer outcomes. The Automated Heart-Health Assessment (AH-HA) tool is a novel electronic health record clinical decision support tool based on the American Heart Association's Life's Simple 7 cardiovascular health (CVH) metrics to promote CVH assessment and discussion in outpatient oncology. Before proceeding to future implementation trials, it is critical to establish the acceptability of the tool among providers and survivors.
View Article and Find Full Text PDFAm J Health Promot
January 2025
College of Social Work, University of South Carolina, Columbia, SC, USA.
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