Potential Predictive Indicators for Age-Related Loss of Skeletal Muscle Mass in Community-Dwelling Middle-Aged Women

PURPOSE: This study aimed to identify the potential clinically predictive indicators of the age-related loss of skeletal muscle mass (ALSMM) in middle-aged women.METHODS: The data from a cross-sectional study involving 2,066 community-dwelling female participants aged 40 to 49 years were analyzed.Complex sampling analyses were used to ensure a nationally representative analysis, incorporating the individual weights provided by KNHANES.This approach accounted for the stratified, clustered, and multistage probability sampling design of the survey.The participants were screened for ALSMM, and various potential predictive indicators were assessed, including age, height, weight, body mass index, waist circumference, skeletal muscle mass index, smoking and drinking status, systolic and diastolic blood pressure, fasting glucose levels, triglyceride levels, and cholesterol levels.

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Publication Details

Journal
Journal of the Korean Society of Physical Medicine
Published
2024-08-31
DOI
https://doi.org/10.13066/kspm.2024.19.3.47
Citations
6
Primary Topic
Nutrition and Health in Aging
Type
article
Field-Weighted Citation Impact
1.96
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article

Potential Predictive Indicators for Age-Related Loss of Skeletal Muscle Mass in Community-Dwelling Middle-Aged Women

Jongseok Hwang
6 citations
Journal of the Korean Society of Physical Medicine
Nutrition and Health in Aging
1.96
article

Potential Predictive Indicators for Age-Related Loss of Skeletal Muscle Mass in Community-Dwelling Middle-Aged Women

Jongseok Hwang
article en
6 citations

Abstract

PURPOSE: This study aimed to identify the potential clinically predictive indicators of the age-related loss of skeletal muscle mass (ALSMM) in middle-aged women.METHODS: The data from a cross-sectional study involving 2,066 community-dwelling female participants aged 40 to 49 years were analyzed.Complex sampling analyses were used to ensure a nationally representative analysis, incorporating the individual weights provided by KNHANES.This approach accounted for the stratified, clustered, and multistage probability sampling design of the survey.The participants were screened for ALSMM, and various potential predictive indicators were assessed, including age, height, weight, body mass index, waist circumference, skeletal muscle mass index, smoking and drinking status, systolic and diastolic blood pressure, fasting glucose levels, triglyceride levels, and cholesterol levels.

Journal of the Korean Society of Physical MedicineVol. 19(3)
Yeungnam University (KR)
Gender equality
Openalex Percentile: Top 13%
Nutrition and Health in Aging
1.96
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Potential Predictive Indicators for Age-Related Loss of Skeletal Muscle Mass in Community-Dwelling Middle-Aged Women — Jongseok Hwang · Journal of the Korean Society of Physical Medicine (2024) | TGRS Research Map | TGRS