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] |
| Copyright of Inquiry (00469580) is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
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| Items | – Name: Title Label: Title Group: Ti Data: Prevalence and Risk Factors of Sarcopenia in Community-Dwelling Older Adults: A Cross-Sectional Study With Nutritional Assessment. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Lu%2C+Tianwei%22">Lu, Tianwei</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Fang%2C+Qing%22">Fang, Qing</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lin%2C+Ziyi%22">Lin, Ziyi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jiang%2C+Xianglin%22">Jiang, Xianglin</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Tao%22">Wang, Tao</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Miqiong%22">Li, Miqiong</searchLink><relatesTo>5</relatesTo> (AUTHOR)<i> limiqiong@126.com</i><br /><searchLink fieldCode="AR" term="%22Yin%2C+Peihao%22">Yin, Peihao</searchLink><relatesTo>6</relatesTo> (AUTHOR)<i> yinpeihao@shutcm.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Inquiry+%2800469580%29%22">Inquiry (00469580)</searchLink>. 6/11/2026, Vol. 63, p1-12. 12p. – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Cross-sectional+method%22">Cross-sectional method</searchLink><br /><searchLink fieldCode="DE" term="%22Lifestyles%22">Lifestyles</searchLink><br /><searchLink fieldCode="DE" term="%22Independent+living%22">Independent living</searchLink><br /><searchLink fieldCode="DE" term="%22Malnutrition%22">Malnutrition</searchLink><br /><searchLink fieldCode="DE" term="%22Health+status+indicators%22">Health status indicators</searchLink><br /><searchLink fieldCode="DE" term="%22Body+mass+index%22">Body mass index</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Nutritional+assessment%22">Nutritional assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Logistic+regression+analysis%22">Logistic regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Residential+patterns%22">Residential patterns</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+sampling%22">Statistical sampling</searchLink><br /><searchLink fieldCode="DE" term="%22Fisher+exact+test%22">Fisher exact test</searchLink><br /><searchLink fieldCode="DE" term="%22Bioelectric+impedance%22">Bioelectric impedance</searchLink><br /><searchLink fieldCode="DE" term="%22Multivariate+analysis%22">Multivariate analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Chi-squared+test%22">Chi-squared test</searchLink><br /><searchLink fieldCode="DE" term="%22Odds+ratio%22">Odds ratio</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+screening%22">Medical screening</searchLink><br /><searchLink fieldCode="DE" term="%22Early+diagnosis%22">Early diagnosis</searchLink><br /><searchLink fieldCode="DE" term="%22Geriatric+nutrition%22">Geriatric nutrition</searchLink><br /><searchLink fieldCode="DE" term="%22Sociodemographic+factors%22">Sociodemographic factors</searchLink><br /><searchLink fieldCode="DE" term="%22Anthropometry%22">Anthropometry</searchLink><br /><searchLink fieldCode="DE" term="%22Confidence+intervals%22">Confidence intervals</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22Sarcopenia%22">Sarcopenia</searchLink><br /><searchLink fieldCode="DE" term="%22Grip+strength%22">Grip strength</searchLink><br /><searchLink fieldCode="DE" term="%22Sensitivity+%26+specificity+%28Statistics%29%22">Sensitivity & specificity (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Disease+complications%22">Disease complications</searchLink><br /><searchLink fieldCode="DE" term="%22Old+age%22">Old age</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22China%22">China</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: 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] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Inquiry (00469580) is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1177/00469580261452510 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 1 Subjects: – SubjectFull: Cross-sectional method Type: general – SubjectFull: Lifestyles Type: general – SubjectFull: Independent living Type: general – SubjectFull: Malnutrition Type: general – SubjectFull: Health status indicators Type: general – SubjectFull: Body mass index Type: general – SubjectFull: Research funding Type: general – SubjectFull: Nutritional assessment Type: general – SubjectFull: Logistic regression analysis Type: general – SubjectFull: Residential patterns Type: general – SubjectFull: Statistical sampling Type: general – SubjectFull: Fisher exact test Type: general – SubjectFull: Bioelectric impedance Type: general – SubjectFull: Multivariate analysis Type: general – SubjectFull: Chi-squared test Type: general – SubjectFull: Odds ratio Type: general – SubjectFull: Medical screening Type: general – SubjectFull: Early diagnosis Type: general – SubjectFull: Geriatric nutrition Type: general – SubjectFull: Sociodemographic factors Type: general – SubjectFull: Anthropometry Type: general – SubjectFull: Confidence intervals Type: general – SubjectFull: Data analysis software Type: general – SubjectFull: Sarcopenia Type: general – SubjectFull: Grip strength Type: general – SubjectFull: Sensitivity & specificity (Statistics) Type: general – SubjectFull: Disease complications Type: general – SubjectFull: Old age Type: general – SubjectFull: China Type: general Titles: – TitleFull: Prevalence and Risk Factors of Sarcopenia in Community-Dwelling Older Adults: A Cross-Sectional Study With Nutritional Assessment. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Lu, Tianwei – PersonEntity: Name: NameFull: Fang, Qing – PersonEntity: Name: NameFull: Lin, Ziyi – PersonEntity: Name: NameFull: Jiang, Xianglin – PersonEntity: Name: NameFull: Wang, Tao – PersonEntity: Name: NameFull: Li, Miqiong – PersonEntity: Name: NameFull: Yin, Peihao IsPartOfRelationships: – BibEntity: Dates: – D: 11 M: 06 Text: 6/11/2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 00469580 Numbering: – Type: volume Value: 63 Titles: – TitleFull: Inquiry (00469580) Type: main |
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