Prevalence and Risk Factors of Sarcopenia in Community-Dwelling Older Adults: A Cross-Sectional Study With Nutritional Assessment.
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| Title: | Prevalence and Risk Factors of Sarcopenia in Community-Dwelling Older Adults: A Cross-Sectional Study With Nutritional Assessment. |
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| Authors: | Lu, Tianwei1 (AUTHOR), Fang, Qing2 (AUTHOR), Lin, Ziyi1 (AUTHOR), Jiang, Xianglin3 (AUTHOR), Wang, Tao4 (AUTHOR), Li, Miqiong5 (AUTHOR) limiqiong@126.com, Yin, Peihao6 (AUTHOR) yinpeihao@shutcm.edu.cn |
| Source: | Inquiry (00469580). 6/11/2026, Vol. 63, p1-12. 12p. |
| Subject Terms: | Cross-sectional method, Lifestyles, Independent living, Malnutrition, Health status indicators, Body mass index, Research funding, Nutritional assessment, Logistic regression analysis, Residential patterns, Statistical sampling, Fisher exact test, Bioelectric impedance, Multivariate analysis, Chi-squared test, Odds ratio, Medical screening, Early diagnosis, Geriatric nutrition, Sociodemographic factors, Anthropometry, Confidence intervals, Data analysis software, Sarcopenia, Grip strength, Sensitivity & specificity (Statistics), Disease complications, Old age |
| Geographic Terms: | China |
| Abstract: | Introduction: Sarcopenia, a progressive skeletal muscle disorder, is common among older adults and is associated with adverse outcomes including falls, fractures, cognitive decline, poor quality of life, and increased mortality. Malnutrition contributes to sarcopenia, and early screening is essential for prevention. Methods: This cross-sectional study evaluated community-dwelling adults aged ≥65 years in Shanghai. Sarcopenia was diagnosed according to the 2019 Asian Working Group for Sarcopenia (AWGS) consensus, using SARC-CalF, handgrip strength, and bioelectrical impedance analysis. Nutritional status was assessed with MNA-SF and GLIM criteria. Demographics, health, lifestyle, and physical measurements were collected. Logistic regression identified factors associated with sarcopenia. Model calibration was evaluated using the Hosmer-Lemeshow test, multicollinearity via variance inflation factor, and agreement between nutritional tools using the Kappa statistic. Results: A total of 1,650 adults aged ≥65 years from Shanghai were enrolled in this study. The prevalence of sarcopenia was 2.48% overall (men: 2.42%; women: 2.54%). Independent risk factors included age ≥80 years (OR = 5.089, 95% CI: 2.347–11.037), BMI <18.5 kg/m2 (OR = 4.507, 95% CI: 1.816–11.185), daily sleep <5 h (OR = 3.898, 95% CI: 2.003–7.587), and chronic gastritis (OR = 3.624, 95% CI: 1.234–10.637). Protective factors were BMI ≥24.0 kg/m2 (OR = 0.033, 95% CI: 0.004–0.241) and regular physical exercise (OR = 0.420, 95% CI: 0.216–0.813). Co-occurrence of malnutrition and sarcopenia ranged from 0.30% to 0.55%. Agreement between MNA-SF and GLIM was moderate (Kappa = 0.357, P < 0.001). Their contingency coefficients with sarcopenia were 0.086 and 0.151, respectively (P < 0.05). Conclusion: In Shanghai community-dwelling older adults, sarcopenia prevalence was 2.48%. Advanced age, low BMI, short sleep, and chronic gastritis increased risk, while higher BMI and regular exercise were protective. Early nutritional assessment and interventions are crucial to prevent sarcopenia. [ABSTRACT FROM AUTHOR] |
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| Database: | Education Research Complete |
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| Abstract: | Introduction: Sarcopenia, a progressive skeletal muscle disorder, is common among older adults and is associated with adverse outcomes including falls, fractures, cognitive decline, poor quality of life, and increased mortality. Malnutrition contributes to sarcopenia, and early screening is essential for prevention. Methods: This cross-sectional study evaluated community-dwelling adults aged ≥65 years in Shanghai. Sarcopenia was diagnosed according to the 2019 Asian Working Group for Sarcopenia (AWGS) consensus, using SARC-CalF, handgrip strength, and bioelectrical impedance analysis. Nutritional status was assessed with MNA-SF and GLIM criteria. Demographics, health, lifestyle, and physical measurements were collected. Logistic regression identified factors associated with sarcopenia. Model calibration was evaluated using the Hosmer-Lemeshow test, multicollinearity via variance inflation factor, and agreement between nutritional tools using the Kappa statistic. Results: A total of 1,650 adults aged ≥65 years from Shanghai were enrolled in this study. The prevalence of sarcopenia was 2.48% overall (men: 2.42%; women: 2.54%). Independent risk factors included age ≥80 years (OR = 5.089, 95% CI: 2.347–11.037), BMI <18.5 kg/m2 (OR = 4.507, 95% CI: 1.816–11.185), daily sleep <5 h (OR = 3.898, 95% CI: 2.003–7.587), and chronic gastritis (OR = 3.624, 95% CI: 1.234–10.637). Protective factors were BMI ≥24.0 kg/m2 (OR = 0.033, 95% CI: 0.004–0.241) and regular physical exercise (OR = 0.420, 95% CI: 0.216–0.813). Co-occurrence of malnutrition and sarcopenia ranged from 0.30% to 0.55%. Agreement between MNA-SF and GLIM was moderate (Kappa = 0.357, P < 0.001). Their contingency coefficients with sarcopenia were 0.086 and 0.151, respectively (P < 0.05). Conclusion: In Shanghai community-dwelling older adults, sarcopenia prevalence was 2.48%. Advanced age, low BMI, short sleep, and chronic gastritis increased risk, while higher BMI and regular exercise were protective. Early nutritional assessment and interventions are crucial to prevent sarcopenia. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 00469580 |
| DOI: | 10.1177/00469580261452510 |
