Long‐Term Determinants of Lean Mass in Ageing Adults: A 17‐Year Longitudinal Cohort Study With Repeated Measures

ABSTRACT Objective Age‐related loss of lean mass is a hallmark of sarcopenia and a contributor to functional decline and morbidity in ageing populations. This study aimed to identify long‐term determinants of lean mass during ageing. Methods Data from 3033 participants (ages 20–96 years; 49% women) in the Geelong Osteoporosis Study were analysed using linear mixed effect models with random intercepts. Appendicular lean mass (ALM) was derived from arm and leg lean mass measured using dual‐energy X‐ray absorptiometry. Time‐varying covariates were included; missing data were imputed using predictive mean matching. Results Over 16.7 years (IQR 9.7–23.2), women and older participants had lower ALM ( β = −8.36; 95% CI –8.58, –8.15; β = −0.07; 95% CI –0.08, –0.06). Higher ALM was associated with socio‐economic status (0.33; 0.14, 0.51), dietary calcium intake (0.46; 0.20, 0.67), femoral neck BMD (0.38; 0.29, 0.47) and thyroid hormone therapy (0.52; 0.04, 0.99). Physical inactivity (−0.48; −0.65, –0.31), smoking (−0.24; −0.46, –0.06) and stroke history (−0.51; −0.96, –0.07) were associated with lower ALM. Non‐linear associations were observed for follow‐up duration (fu: β = −0.16; fu 2 : β = 0.01; − p < 0.001), body mass index (BMI: β = 0.55; BMI 2 : β = −0.00; p < 0.001), systolic blood pressure (SBP: β = 0.06; SBP 2 : β = −0.00; p < 0.001), serum C‐terminal telopeptide of type I collagen (CTx: β = 0.14, p < 0.001; CTx 2 : β = −0.01, p = 0.03) and high‐sensitivity Creactive protein (hsCRP: β = −10.38; hsCRP 2 : β = 11.70; − p < 0.001). In fat‐mass‐adjusted models, low‐density lipoprotein cholesterol (0.14; 0.04, 0.24) and triglycerides (0.22; 0.11, 0.33) were positively associated with ALM, whereas high‐density lipoprotein cholesterol (−0.53; −0.81, –0.25) was inversely associated with ALM. Conclusions Sociodemographic, lifestyle, anthropometric, clinical, biochemical and treatment‐related factors show independent associations with longitudinal changes in ALM.

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Journal
Australasian Journal on Ageing
Published
2026-10-12
DOI
https://doi.org/10.1111/ajag.70242
Primary Topic
Nutrition and Health in Aging
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article

Long‐Term Determinants of Lean Mass in Ageing Adults: A 17‐Year Longitudinal Cohort Study With Repeated Measures

Amanda L. Stuart, Mojtaba Lotfaliany, Lana J. Williams, Kara B. Anderson et al.
Australasian Journal on Ageing
Nutrition and Health in Aging
article

Long‐Term Determinants of Lean Mass in Ageing Adults: A 17‐Year Longitudinal Cohort Study With Repeated Measures

Amanda L. Stuart, Mojtaba Lotfaliany, Lana J. Williams, Kara B. Anderson, Julie Anne Pasco, Emma C West, Aminu Suleiman
article en

Abstract

ABSTRACT Objective Age‐related loss of lean mass is a hallmark of sarcopenia and a contributor to functional decline and morbidity in ageing populations. This study aimed to identify long‐term determinants of lean mass during ageing. Methods Data from 3033 participants (ages 20–96 years; 49% women) in the Geelong Osteoporosis Study were analysed using linear mixed effect models with random intercepts. Appendicular lean mass (ALM) was derived from arm and leg lean mass measured using dual‐energy X‐ray absorptiometry. Time‐varying covariates were included; missing data were imputed using predictive mean matching. Results Over 16.7 years (IQR 9.7–23.2), women and older participants had lower ALM ( β = −8.36; 95% CI –8.58, –8.15; β = −0.07; 95% CI –0.08, –0.06). Higher ALM was associated with socio‐economic status (0.33; 0.14, 0.51), dietary calcium intake (0.46; 0.20, 0.67), femoral neck BMD (0.38; 0.29, 0.47) and thyroid hormone therapy (0.52; 0.04, 0.99). Physical inactivity (−0.48; −0.65, –0.31), smoking (−0.24; −0.46, –0.06) and stroke history (−0.51; −0.96, –0.07) were associated with lower ALM. Non‐linear associations were observed for follow‐up duration (fu: β = −0.16; fu 2 : β = 0.01; − p < 0.001), body mass index (BMI: β = 0.55; BMI 2 : β = −0.00; p < 0.001), systolic blood pressure (SBP: β = 0.06; SBP 2 : β = −0.00; p < 0.001), serum C‐terminal telopeptide of type I collagen (CTx: β = 0.14, p < 0.001; CTx 2 : β = −0.01, p = 0.03) and high‐sensitivity Creactive protein (hsCRP: β = −10.38; hsCRP 2 : β = 11.70; − p < 0.001). In fat‐mass‐adjusted models, low‐density lipoprotein cholesterol (0.14; 0.04, 0.24) and triglycerides (0.22; 0.11, 0.33) were positively associated with ALM, whereas high‐density lipoprotein cholesterol (−0.53; −0.81, –0.25) was inversely associated with ALM. Conclusions Sociodemographic, lifestyle, anthropometric, clinical, biochemical and treatment‐related factors show independent associations with longitudinal changes in ALM.

Australasian Journal on AgeingVol. 45(4)
Barwon Health (AU), Deakin University (AU), Monash University (AU)
Openalex Percentile: Top 13%
Nutrition and Health in Aging
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