Development and Validation of a Predictive Model for Sarcopenia Risk in Older Chinese Adults Based on Key Factors DOI

Qianwei Sun,

Lei Shen, Huamin Liu

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 2, 2024

Abstract Background Sarcopenia, characterized by progressive loss of skeletal muscle mass and function, poses a significant health risk to the aging population. This study aims construct validate predictive model for sarcopenia in elderly Chinese individuals using data from China Health Retirement Longitudinal Study (CHARLS). Methods We observed participants aged 60 above without diagnosis 2011 followed up 2013 incidence sarcopenia. After excluding with missing data, disabilities, cancer, extreme values, total 2,197 were included study. Sarcopenia was assessed based on 2019 Asian Working Group (AWGS) criteria. The factors analyzed sociodemographic characteristics, status, lifestyle habits, psychological pain-related information, blood biochemical indicators. LASSO-logistic regression XGBoost machine learning models employed identify key predictors develop model. Results identified older age, lower BMI, female gender, memory-related diseases, arthritis or rheumatism, shorter night sleep duration, education level as independent Both methods produced high accuracy, though had slightly higher AUC than logistic (0.881 vs. 0.849). However, difference between two not statistically significant. demonstrated sensitivity but specificity. Ultimately, considered better choice this due its interpretability comparable performance. Conclusion traditional statistical methods, such regression, developed robust models. findings provide valuable insights early intervention management population, highlighting need multidisciplinary approach improve outcomes group.

Language: Английский

Exploring the Relationship between Elderly Women Responses, Multi-domain Factors, and Street Geometry Indicators: A Case Study in a Mediterranean Context. DOI Creative Commons

Lilia Mahia,

Djihed Berkouk, Tallal Abdel Karim Bouzir

et al.

Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 112647 - 112647

Published: Feb. 1, 2025

Language: Английский

Citations

1
Prevalence of Sarcopenia Among Slovenian Older Adults and Associated Risk Factors DOI Creative Commons
Katarina Puš, Saša Pišot, Uroš Marušič

et al.

Slovenian Journal of Public Health, Journal Year: 2025, Volume and Issue: 64(2), P. 103 - 111

Published: Feb. 28, 2025

ABSTRACT Introduction Sarcopenia is a multifaceted condition affecting between 10 and 16% of the global population, although multiple classification algorithms exist, no prevalence has been reported for representative sample Slovenian population. Furthermore, behavioural factors, such as malnutrition, physical inactivity, sedentary lifestyle lower cognitive function, can contribute to risk sarcopenia. This study aims to: a) determine sarcopenia among older adults according different algorithms, b) compare agreement c) evaluate relationship proposed factors Methods 654 participants (≥60 years, 30.4% males) have classified into groups eight (Fleiss K) them was calculated. Additionally, age, sex, nutritional status, activity, levels function were assessed risk/protective factors. Results The EWGSOP2 4.1%, ranging from 2.1% 15.3%, when by all algorithms. Overall weak (K=.429; 95% CI .414 .444) with 0.6% sarcopenic Adequate nutrition activity identified protective while considered Conclusion general population than in We conclude that lead It great importance be cautious comparing prevalences studies further validate

Language: Английский

Citations

0
Multifactorial Determinants of Body Composition in the Korean Older Adults: Using Data from the 2022–2023 National Health and Nutrition Examination Survey DOI Open Access
Moonkyoung Park, T.V.C. Do, J.H. Park

et al.

Nutrients, Journal Year: 2025, Volume and Issue: 17(9), P. 1477 - 1477

Published: April 27, 2025

Background/Objectives: Sarcopenia, abdominal obesity, and sarcopenic obesity are prevalent clinically significant in older adults, each shaped by diverse biopsychosocial factors. However, integrative analyses using nationally representative data remain limited Korea. Methods: We analyzed 2118 adults aged ≥65 years from the 2022-2023 Korea National Health Nutrition Examination Survey (KNHANES). Body composition was classified into sarcopenia, obesity. Guided Engel's Biopsychosocial Model, we examined biological (e.g., sex, chronic disease, nutrition, exercise), psychological stress, sleep, self-rated health), social income, education, living status) variables. Complex-sample multinomial logistic regression identified condition-specific associations. Results: Prevalence rates were 18.2% for 41.0% 3.4% Eating alone a lack of resistance exercise common risk factors across all three conditions. Sarcopenia associated with male insufficient dietary intake, alcohol consumption, poor health, low household income. Abdominal linked to recent weight gain, hypertension, diabetes, prolonged sedentary time, perceived educational attainment. Sarcopenic elevated hs-CRP, economic inactivity. Conclusions: abnormalities among Korean influenced complex, interactions biological, psychological, domains. These findings emphasize significance adopting an perspective that considers physical, health components when addressing age-related body issues.

Language: Английский

Citations

0
Study on the elderly’s perception of microclimate and activity time in residential communities DOI

Yuanfeng Ji,

Xiaoya Feng,

Haiyue Zhao

et al.

Building and Environment, Journal Year: 2024, Volume and Issue: unknown, P. 112125 - 112125

Published: Sept. 1, 2024

Language: Английский

Citations

3
Cardiorespiratory Performance, Physical Activity, and Depression in Thai Older Adults with Sarcopenia and No Sarcopenia: A Matched Case-Control Study DOI Open Access

Nuntiya Boontanom,

Patcharee Kooncumchoo, Kornanong Yuenyongchaiwat

et al.

International Journal of Environmental Research and Public Health, Journal Year: 2024, Volume and Issue: 21(6), P. 724 - 724

Published: June 1, 2024

Background: Older adults have a high risk for musculoskeletal, cardiorespiratory, and mental health problems. We compared respiratory muscle strength, cardiovascular endurance, physical activity (PA), depression between older with without sarcopenia. Methods: This matched case–control study included 200 Thai (100 participants sarcopenia). According to the Asian Working Group Sarcopenia 2019, completed handgrip dynamometer, 6 m walk test, bioimpedance analysis sarcopenia screening. Individuals were required evaluate their endurance strength complete set of questionnaires (i.e., PA). Participants using t-test, ANOVA was used subgroup analysis. Results: had significantly lower inspiratory (p < 0.001), functional capacity = 0.032), PA higher scores 0.001) than those Respiratory reduced in severe sarcopenia, followed by possible no or Conclusions: may exhibit cardiorespiratory performance, less PA,

Language: Английский

Citations

2
Prevalence and Risk Factors of Self‐Reported Sarcopenia and Its Association With Multimorbidity in Community‐Dwelling Older Adults: A Cross‐Sectional Study DOI Creative Commons
Youn‐Jung Son, Yun Mi Lee, Da‐Young Kim

et al.

Nursing and Health Sciences, Journal Year: 2024, Volume and Issue: 26(4)

Published: Oct. 30, 2024

ABSTRACT This cross‐sectional study aimed to identify the impact of multimorbidity on self‐reported sarcopenia and compare differences in prevalence associated factors community‐dwelling older adults with without multimorbidity. We enrolled 876 South Korea. Multimorbidity was defined as coexistence two or more chronic diseases, evaluated using Strength, Assistance walking, Rising from a chair, Climbing stairs, Falling Questionnaire. Binomial logistic regression analyses were performed. Our revealed that significantly higher (43.5%) than those (20.8%). finding underscores significant sarcopenia. also found poor perceived health status strongest predictor multimorbidity, while oldest‐old age (≥ 85 years) Large prospective cohort studies objective screening tools are needed demonstrate synergistic effects outcomes among adults.

Language: Английский

Citations

2
Association between handgrip strength and physical activity: A nationwide population‐based study in Korea DOI Creative Commons
Hye Young Shin, Ka Young Kim, Purum Kang

et al.

Public Health Nursing, Journal Year: 2024, Volume and Issue: 41(5), P. 987 - 995

Published: July 18, 2024

This study investigated the association between handgrip strength (HGS) and physical activity (PA) at different levels in Korean adults for purpose of providing direction increasing HGS, which represents muscular strength, understanding PA HGS.

Language: Английский

Citations

1
Development and Validation of a Predictive Model for Sarcopenia Risk in Older Chinese Adults Based on Key Factors DOI

Qianwei Sun,

Lei Shen, Huamin Liu

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 2, 2024

Abstract Background Sarcopenia, characterized by progressive loss of skeletal muscle mass and function, poses a significant health risk to the aging population. This study aims construct validate predictive model for sarcopenia in elderly Chinese individuals using data from China Health Retirement Longitudinal Study (CHARLS). Methods We observed participants aged 60 above without diagnosis 2011 followed up 2013 incidence sarcopenia. After excluding with missing data, disabilities, cancer, extreme values, total 2,197 were included study. Sarcopenia was assessed based on 2019 Asian Working Group (AWGS) criteria. The factors analyzed sociodemographic characteristics, status, lifestyle habits, psychological pain-related information, blood biochemical indicators. LASSO-logistic regression XGBoost machine learning models employed identify key predictors develop model. Results identified older age, lower BMI, female gender, memory-related diseases, arthritis or rheumatism, shorter night sleep duration, education level as independent Both methods produced high accuracy, though had slightly higher AUC than logistic (0.881 vs. 0.849). However, difference between two not statistically significant. demonstrated sensitivity but specificity. Ultimately, considered better choice this due its interpretability comparable performance. Conclusion traditional statistical methods, such regression, developed robust models. findings provide valuable insights early intervention management population, highlighting need multidisciplinary approach improve outcomes group.

Language: Английский

Citations

0