Sarcopenia prevalence and its correlations with age-related disorders among community-dwelling Palestinian older adults

Badrasawi, Manal; Jarradat, Alaa; Khodour, Zaheera; Lahaleh, Razan; Irshaied, Alma

doi:10.36150/2499-6564-377

Cited by 4 publications

(25 citation statements)

References 35 publications

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“…Ultimately, 19 studies were included in the final review. [43][44][45][46][47][48][49][50][51][52][53][54][55][56][57][58][59][60][61] Twelve studies [43][44][45][52][53][54][55][56][57][59][60][61] were conducted in Asian countries such as China, 44,45,53,54,56 Thailand, 61 Japan 52,57,60 and Korea 59 and only four studies were conducted in non-Asian countries such as Brazil 46,48 and Colombia, 49,50 while three studies were conducted in a transcontinental country, Turkey. 47,51,58 All the research included were cross-sectional studies.…”

Section: Resultsmentioning

confidence: 99%

“…In each study, multiple tools and definitions were used in defining the different stages of sarcopenia, namely pre-sarcopenia, probable sarcopenia, sarcopenia, sarcopenic obesity and severe sarcopenia in each of the studies. The most commonly used tools were the EWGSOP 43,[49][50][51]58 followed by the EWGSOP2, [46][47][48]57 AWGS 2014, 52,56,59,60 AWGS 2019 10,45,53,54 and SARC-F (strength, assistance with walking, rising from a chair, climbing stairs and falls questionnaire). 55,61 Chen et al 10 defined probable sarcopenia as having low muscle strength or low physical performance.…”

Section: Diagnostic Methods and Tools Used For Sarcopenia Identificationmentioning

confidence: 99%

“…The details of the tools used and cut-off points for sarcopenia in each study are listed in detail in Table 1. The diagnostic tools that were used to determine sarcopenia were AWGS 2014, 52,56,59,60 AWGS 2019, 10,44,45,54 EWGSOP, 43,[49][50][51]58 EWGSOP 2 [46][47][48]57 and SARC-F. 55,61 However, notably, one of the studies 45 used the combination of AWGS 2019 criteria and SARC-Calf to identify sarcopenia. Another study 47 that used the EWGSOP 2 only assessed a few components of the consensus to screen for sarcopenia.…”

Section: Diagnostic Methods and Tools Used For Sarcopenia Identificationmentioning

confidence: 99%

“…Eleven studies 43,44,[51][52][53][54][56][57][58][59][60] defined sarcopenia by combining low muscle mass (LMM), low muscle strength (LMS), and low physical performance or fitness (LPP) in line with either one of the consensuses, while the other studies had a combination of either one or two of these aspects of the consensus 45 or only assessed a few components proposed by the consensus. 47 The most common tool for assessing muscle mass is bioelectrical impedance analysis, which was used in nine studies.…”

Section: Diagnostic Methods and Tools Used For Sarcopenia Identificationmentioning

confidence: 99%

“…47 The most common tool for assessing muscle mass is bioelectrical impedance analysis, which was used in nine studies. 43,[52][53][54][56][57][58][59][60] Dual-energy X-ray absorptiometry was only used in one study 44 and calf circumference was used in three studies, whereby the subjects were classified as having a LMM if their calf circumference was less than 31 cm. [49][50][51] As for muscle strength, it was detected using a handgrip dynamometer in most of the studies.…”

Section: Diagnostic Methods and Tools Used For Sarcopenia Identificationmentioning

confidence: 99%

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Prevalence of sarcopenia and depressive symptoms among older adults: a scoping review

Ganggaya,

Vanoh,

Ishak

2023

Psychogeriatrics

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Sarcopenia causes a loss of skeletal muscle mass and decreases muscle strength and function. Depressive symptoms are a common cause of distress among geriatrics, significantly affecting the quality of life of older adults. Recently, studies have shown that a correlation exists between sarcopenia and depression. To determine the prevalence of sarcopenia and depressive symptoms and identify the factors associated with sarcopenia, we systematically searched the SCOPUS, Science Direct, and PubMed databases for papers on sarcopenia and depressive symptoms published from 2012 to 2022. We reviewed the literature on sarcopenia, depressive symptom prevalence, the prevalence of subjects with both sarcopenia and depressive symptoms, and the factors associated with sarcopenia. Only cross‐sectional studies were included. Nineteen articles met the inclusion criteria for review, with overall sarcopenia prevalence ranging from 3.9% to 41.7%. The prevalence of depressive symptoms was reported in seven studies, ranging from 8.09% to 40%. The most commonly used tools to diagnose sarcopenia and depressive symptoms were the European Working Group on Sarcopenia in Older People consensus and the Geriatric Depression Scale, respectively. Being aged, malnourished, obese, having comorbidities (hypertension and diabetes), having impaired cognitive function, and having polypharmacy were found to be the factors associated with sarcopenia. Sarcopenia and depressive symptoms have been found to cause adverse health outcomes among older people. Appropriate nutritional assessments and interventions should be taken to manage these two geriatric conditions. Further studies should be planned, considering multidomain intervention strategies to improve sarcopenia and older people's mental health.

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Section: Resultsmentioning

confidence: 99%

Section: Diagnostic Methods and Tools Used For Sarcopenia Identificationmentioning

confidence: 99%

Section: Diagnostic Methods and Tools Used For Sarcopenia Identificationmentioning

confidence: 99%

Section: Diagnostic Methods and Tools Used For Sarcopenia Identificationmentioning

confidence: 99%

Section: Diagnostic Methods and Tools Used For Sarcopenia Identificationmentioning

confidence: 99%

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Prevalence of sarcopenia and depressive symptoms among older adults: a scoping review

Ganggaya,

Vanoh,

Ishak

2023

Psychogeriatrics

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Associated Factors of Sarcopenia in Community-Dwelling Older Adults: A Systematic Review and Meta-Analysis

et al. 2021

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(1) Background: To review the associated factors of sarcopenia in community-dwelling older adults. (2) Methods: PubMed, Embase, Web of Science, and four Chinese electronic databases were searched for observational studies that reported the associated factors of sarcopenia from inception to August 2021. Two researchers independently selected the literature, evaluated their quality, and extracted relevant data. The pooled odds ratio (OR) and its 95% confidence interval (CI) were calculated for each associated factors of sarcopenia using random-effects/fixed-effects models. Publication bias was assessed using funnel plot and the Eggers test. We performed statistical analysis using Stata 15.0 software. (3) Results: A total of 68 studies comprising 98,502 cases were included. Sociodemographic associated factors of sarcopenia among community-dwelling older adults included age (OR = 1.12, 95% CI: 1.10–1.13), marital status (singled, divorced, or widowed) (OR = 1.57, 95% CI: 1.08–2.28), disability for activities of daily living (ADL) (OR = 1.49, 95% CI: 1.15–1.92), and underweight (OR = 3.78, 95% CI: 2.55–5.60). Behavioral associated factors included smoking (OR = 1.20, 95% CI: 1.10–1.21), physical inactivity (OR = 1.73, 95% CI: 1.48–2.01), malnutrition/malnutrition risk (OR = 2.99, 95% CI: 2.40–3.72), long (OR = 2.30, 95% CI: 1.37–3.86) and short (OR = 3.32, 95% CI: 1.86–5.93) sleeping time, and living alone (OR = 1.55, 95% CI: 1.00–2.40). Disease-related associated factors included diabetes (OR = 1.40, 95% CI: 1.18–1.66), cognitive impairment (OR = 1.62, 95% CI: 1.05–2.51), heart diseases (OR = 1.14, 95% CI: 1.00–1.30), respiratory diseases (OR = 1.22, 95% CI: 1.09–1.36), osteopenia/osteoporosis (OR = 2.73, 95% CI: 1.63–4.57), osteoarthritis (OR = 1.33, 95% CI: 1.23–1.44), depression (OR = 1.46, 95% CI: 1.17–1.83), falls (OR = 1.28, 95% CI: 1.14–1.44), anorexia (OR = 1.50, 95% CI: 1.14–1.96), and anemia (OR = 1.39, 95% CI: 1.06–1.82). However, it remained unknown whether gender (female: OR = 1.10, 95% CI: 0.80–1.51; male: OR = 1.50, 95% CI: 0.96–2.34), overweight/obesity (OR = 0.27, 95% CI: 0.17–0.44), drinking (OR = 0.92, 95% CI: 0.84–1.01), hypertension (OR = 0.98, 95% CI: 0.84–1.14), hyperlipidemia (OR = 1.14, 95% CI: 0.89–1.47), stroke (OR = 1.70, 95% CI: 0.69–4.17), cancer (OR = 0.88, 95% CI: 0.85–0.92), pain (OR = 1.08, 95% CI: 0.98–1.20), liver disease (OR = 0.88, 95% CI: 0.85–0.91), and kidney disease (OR = 2.52, 95% CI: 0.19–33.30) were associated with sarcopenia. (4) Conclusions: There are many sociodemographic, behavioral, and disease-related associated factors of sarcopenia in community-dwelling older adults. Our view provides evidence for the early identification of high-risk individuals and the development of relevant interventions to prevent sarcopenia in community-dwelling older adults.

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Factors Associated with Sarcopenia among Elderly Individuals Residing in Community and Nursing Home Settings: A Systematic Review with a Meta-Analysis

Liu,

Zhu,

Tan

et al. 2023

Nutrients

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To investigate the factors associated with sarcopenia in elderly individuals residing in nursing homes and community settings, we conducted a systematic search of databases, including MEDLINE, EMBASE, PubMed, Web of Science and Cochrane, up to May 2023. We incorporated a total of 70 studies into our analysis. Our findings revealed that the prevalence of sarcopenia in nursing homes ranged from 25% to 73.7%, while in community settings, it varied from 5.2% to 62.7%. The factors associated with sarcopenia in both nursing homes and community settings included male gender, BMI, malnutrition, and osteoarthritis. In community settings, these factors comprised age, poor nutrition status, small calf circumference, smoking, physical inactivity, cognitive impairment, diabetes, depression and heart disease. Currently, both the European Working Group on Sarcopenia in Older People (EWGSOP) and the Asian Working Group for Sarcopenia (AWGS) standards are widely utilized in nursing homes and community settings, with the EWGSOP standard being more applicable to nursing homes. Identifying factors associated with sarcopenia is of paramount significance, particularly considering that some of them can be modified and managed. Further research is warranted to investigate the impact of preventive measures on these factors in the management of sarcopenia among elderly individuals residing in nursing homes and community settings.

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Sarcopenia prevalence and its correlations with age-related disorders among community-dwelling Palestinian older adults

Cited by 4 publications

References 35 publications

Prevalence of sarcopenia and depressive symptoms among older adults: a scoping review

Prevalence of sarcopenia and depressive symptoms among older adults: a scoping review

Associated Factors of Sarcopenia in Community-Dwelling Older Adults: A Systematic Review and Meta-Analysis

Factors Associated with Sarcopenia among Elderly Individuals Residing in Community and Nursing Home Settings: A Systematic Review with a Meta-Analysis

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