Incidence and Predictors of Sarcopenia Onset in Community-Dwelling Elderly Japanese Women: 4-Year Follow-Up Study

Kim, Hunkyung; Suzuki, Takao; Kim, Miji; Kojima, Narumi; Yoshida, Yuko; Hirano, Hirohiko; Saito, Kyoko; Iwasa, Hajime; Shimada, Hiroyuki; Hosoi, Erika; Yoshida, Hideyo

doi:10.1016/j.jamda.2014.10.006

Cited by 101 publications

(106 citation statements)

References 32 publications

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“…Association of physical activity with the sarcopenia incidence proportion over a 5-year period Baseline MVPA was not associated with the rate of loss of muscle mass, grip strength or walking speed. The incidence proportion found in this study (9.0-14.8%) is roughly comparable with the incidence proportion found in two other recent studies performed in community-dwelling older adults [16,18]. Both studies used the EWGSOP algorithm to define sarcopenia, though slightly different cut-points were applied [16,18].…”

Section: Discussionsupporting

confidence: 87%

“…The incidence proportion found in this study (9.0-14.8%) is roughly comparable with the incidence proportion found in two other recent studies performed in community-dwelling older adults [16,18]. Both studies used the EWGSOP algorithm to define sarcopenia, though slightly different cut-points were applied [16,18]. Kim et al [16] found a 4-year sarcopenia incidence proportion of 15.8% in a community-dwelling population of women aged 75 years and older.…”

Section: Discussionsupporting

confidence: 86%

“…Both studies used the EWGSOP algorithm to define sarcopenia, though slightly different cut-points were applied [16,18]. Kim et al [16] found a 4-year sarcopenia incidence proportion of 15.8% in a community-dwelling population of women aged 75 years and older. Yu et al [18] reported a 4-year incidence proportion of sarcopenia of 7.8% in a population of 65 years and older, recruited in three Australian cohort studies.…”

Section: Discussionmentioning

confidence: 99%

“…In addition to the issue of inconsistent findings of the effect of general physical activity on sarcopenia, only a few studies have examined the incidence proportion of sarcopenia [16][17][18], of which only one study looked at sarcopenia incidence in relation to physical activity [18]. All these studies used dual-energy X-ray absorptiometry (DXA) or bioelectrical impedance analysis to assess muscle mass; no studies were found estimating muscle mass by computed tomography (CT).…”

Section: Introductionmentioning

confidence: 99%

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Physical activity and incidence of sarcopenia: the population-based AGES—Reykjavik Study

et al. 2016

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Background: the prevalence of sarcopenia increases with age. Physical activity might slow the rate of muscle loss and therewith the incidence of sarcopenia. Objective: to examine the association of physical activity with incident sarcopenia over a 5-year period. Design: data from the population-based Age, Gene/Environment, Susceptibility-Reykjavik Study were used. Setting: people residing in the Reykjavik area at the start of the study. Subjects: the study included people aged 66-93 years (n = 2309). Methods: the amount of moderate-vigorous physical activity (MVPA) was assessed by a self-reported questionnaire. Sarcopenia was identified using the European Working Group on Sarcopenia in Older People algorithm, including muscle mass (computed tomography imaging), grip strength (computerised dynamometer) and gait speed (6 m). Results: mean age of the participants was 74.9 ± 4.7 years. The prevalence of sarcopenia was 7.3% at baseline and 16.8% at follow-up. The incidence proportion of sarcopenia over 5 years was 14.8% in the least-active individuals and 9.0% in the most-active individuals. Compared with the least-active participants, those reporting a moderate-high amount of MVPA had a significantly lower likelihood of incident sarcopenia (OR = 0.64, 95% CI 0.45-0.91). Participants with a high amount of MVPA had higher baseline levels of muscle mass, strength and walking speed, but baseline MVPA was not associated with the rate of muscle loss. Conclusion: a higher amount of MVPA seems to contribute to counteracting the development of sarcopenia. To delay the onset of sarcopenia and its potential adverse outcomes, attention should be paid to increasing physical activity levels in older adults.

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Section: Discussionsupporting

confidence: 87%

Section: Discussionsupporting

confidence: 86%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Physical activity and incidence of sarcopenia: the population-based AGES—Reykjavik Study

et al. 2016

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“…41 CC was also found as both a surrogate marker of muscle mass and a predictor of sarcopenia. 31,42 BMI and CC can be useful markers of sarcopenia among nursing home residents.…”

Section: Discussionmentioning

confidence: 99%

Sarcopenia prevalence and factors associated with sarcopenia in older people living in a nursing home in Ankara Turkey

Yalçın

Aras

Atmış

et al. 2015

Geriatrics Gerontology Int

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Almost one-third of older nursing home residents were diagnosed with sarcopenia according to European Working Group on Sarcopenia in Older People criteria in this study in Turkey. Calf circumference and body mass index were associated with increased risk of sarcopenia among nursing home residents. This is the first study evaluating sarcopenia using European Working Group on Sarcopenia in Older People criteria in Turkey. Geriatr Gerontol Int 2016; 16: 903-910.

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The causal relationship of depression, anxiety, and neuroticism with main indicators of sarcopenia: A Mendelian randomization study

Zhang

Song

Miao

et al. 2023

Int J Geriat Psychiatry

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Background Observational studies have shown the relationship between sarcopenia and psychiatric disorders. However, due to the limitations of traditional research methods, the causal relationship between them has not been accurately concluded. At the same time, considering that sarcopenia is mainly manifested by low muscle strength and low muscle mass, we used Mendelian randomization (MR) analysis in this study to explore the causal relationship of anxiety, depression, and neuroticism with muscle strength and muscle mass, respectively. Methods Genetic variants associated with depression were obtained from FinnGen Biobank (Ncase = 33,812, Ncontrol = 271,380), those associated with anxiety were from FinnGen Biobank (Ncase = 21,519, Ncontrol = 307,558), and those associated with neuroticism, including 12 items, were from a large‐scale genome‐wide association study (N range: 366,301–375,913). Muscle strength was represented by the hand grip strength (HGS), and muscle mass was represented by the appendicular lean mass (ALM) and the body fat percentage. The inverse‐variance weighted (IVW) method was used as the primary analysis method, and the Mendelian Randomization Egger (MR‐Egger) and the weighted median were used as supplementary methods to test whether the three psychological factors were causally related to these two main indicators of sarcopenia severity. Results Depression and neuroticism had different degrees of causal influence on muscle mass and strength, which was statistically significant. Specifically, the depression predicted by genes was significantly associated with ALM (beta = −0.043, p = 0.027), low hand grip strength (LHGS, measured for people of 60 years and older) (odds ratio (OR) = 1.129 (1.019–1.251), p = 0.019), right HGS (beta = −0.050, p = 0.001), left HGS (beta = −0.06, p = 0.001), and body fat percentage (beta = 0.035, p = 0.0138). The neuroticism predicted by genes was significantly associated with ALM (beta = −0.073, p = 0.034), LHGS (OR = 1.222 (1.085–1.377), p = 0.001), right HGS (beta = −0.058, p = 0.000), left HGS (beta = −0.080, p < 0.000), and body fat percentage (beta = 0.063, p = 0.008). However, anxiety was only significantly associated with LHGS (OR = 1.215 (1.008–1.465), p = 0.041) but not significantly associated with ALM (beta = 0.033, p = 0.313), right HGS (beta = −0.008, p = 0.678), left HGS (beta = 0.007, p = 0.712), or body fat percentage (beta = 0.022, p = 0.559). Conclusion This study supported the causal association of depression and neuroticism with muscle strength and mass, which are the two main indicators of sarcopenia. At the same time, there was no sufficient evidence for the causal relationship between anxiety and muscle strength or mass. The results of this study pointed to the need to intervene in the mental health of the elderly to prevent sarcopenia or reduce its severity.

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Incidence and Predictors of Sarcopenia Onset in Community-Dwelling Elderly Japanese Women: 4-Year Follow-Up Study

Cited by 101 publications

References 32 publications

Physical activity and incidence of sarcopenia: the population-based AGES—Reykjavik Study

Physical activity and incidence of sarcopenia: the population-based AGES—Reykjavik Study

Sarcopenia prevalence and factors associated with sarcopenia in older people living in a nursing home in Ankara Turkey

The causal relationship of depression, anxiety, and neuroticism with main indicators of sarcopenia: A Mendelian randomization study

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