Prevalence and Associated Factors of Frailty Among Elderly People in Taiwan

Chen, Liang-Ju; Chen, Chin‐Ying; Lue, Bee-Horng; Tseng, Ming‐Yueh; Wu, Shwu-Chong

doi:10.1016/j.ijge.2013.12.002

Cited by 55 publications

(36 citation statements)

References 27 publications

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“…Therefore, understanding the differences by sex in frail older adults might help us to shift towards more appropriate goal-directed approaches to improve the health status of males and females in different ways. In agreement with some previous studies from other countries [10,21,32], we also observed that the prevalence of frailty increased with older age. In terms of the associations between physical frailty and status of the institution (private versus public), the present study was the first, to our knowledge, in which such an association was observed.…”

Section: Discussionsupporting

confidence: 93%

Physical frailty and its associated factors among elderly nursing home residents in China

et al. 2020

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Background: Evidence is scarce on the trend in prevalence of physical frailty in China; the primary purpose of this study was to identify the prevalence and correlates of physical frailty among older nursing home residents in China. Methods: Cross-sectional study in 20 nursing homes in Changsha, China. Physical frailty was defined based on the frailty phenotype including weight loss, low grip strength, exhaustion, slow gait speed, and low physical activity. Participants with at least three affected criteria were defined as being frail. Participants with one or two affected criteria were considered as pre-frail, and those with no affected criteria were considered as robust. A total of 1004 nursing home residents aged 60 and over were included in this study. A multinomial logistic regression model was used to analyze the associations of physical frailty with its potential risk factors, including age, sex, education levels, marital status, type of institution, living status, current drinking, current smoking, regular exercise, and self-reported health. Results: The overall prevalence of physical frailty and prefrailty was 55.6, and 38.5%, respectively. The rate of physical frailty substantially increased with age, and was higher in women than in men (69.5% vs. 30.5%). The multinomial logistic regression analysis showed that older age, being women, living in a private institution, living alone or with unknown person, having no regular exercise (≤ 2 times/week), and poor self-reported health were significantly associated with increased odds of being physically frail. Conclusion: We demonstrated physical frailty is highly prevalent among older residents in nursing homes in China, especially in women. The potential role of those associated factors of physical frailty warrant further investigations to explore their clinical application among elderly nursing home residents.

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Section: Discussionsupporting

confidence: 93%

Physical frailty and its associated factors among elderly nursing home residents in China

et al. 2020

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“…In agreement with some previous studies in other countries [8,19,29], we also observed that the prevalence of frailty increased with older age. In term of the associations between physical frailty and style of the institution, the present study was the rst, to our knowledge, that had observed such an association.…”

Section: Discussionsupporting

confidence: 93%

Physical Frailty and Its Associated Factors Among Elderly Nursing Home Residents in China

Liu

Puts

Fen

et al. 2020

Preprint

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Background: Evidence is scarce on the trend in prevalence of physical frailty in China; the primary purpose of this study was to identify the prevalence and correlates of physical frailty among older nursing home residents in China.Methods: Cross-sectional study in 20 nursing homes in Changsha, China. Physical frailty was defined based on the frailty phenotype including weight loss, low grip strength, exhaustion, slow gait speed, and low physical activity. Participants with at least three affected criteria were defined as being frail. Participants with one or two affected criteria were considered as pre-frail, and those with no affected criteria were considered as robust. A total of 1004 nursing home residents aged 60 and over were included in this study. A multinomial logistic regression model was used to analyze the associations of physical frailty with its potential risk factors, including age, sex, education levels, marital status, type of institution, living status, current drinking, current smoking, regular exercise, and self-reported health.Results: The overall prevalence of physical frailty and prefrailty was 55.6%, and 38.5%, respectively. The rate of physical frailty substantially increased with age, and was higher in women than in men (69.5% vs. 30.5%). The multinomial logistic regression analysis showed that older age, being women, living in a private institution, living alone or with unknown person, having no regular exercise (≤ 2 times/week), and poor self-reported health were significantly associated with increased odds of being physically frail. Conclusion: We demonstrated physical frailty is highly prevalent among older residents in nursing homes in China, especially in women. The potential role of those associated factors of physical frailty warrant further investigations to explore their clinical application among elderly nursing home residents.

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“…Looking at the most frequent social components, social support is a complex term that may cover a diverse set of domains (Haber, Cohen, Lucas, & Baltes, 2007;Moser, Stuck, Silliman, Ganz, & Clough-Gorr, 2012;Sherbourne & Stewart, 1991). Mirroring its ambiguity, we have as example a study that considers social support as being part of the environmental domain (Chen, Chen, Lue, Tseng, & Wu, 2014). Being one of the most consensual factors of social frailty, the operationalization of this concept can bring benefits in the understanding and detection of frailty.…”

Section: Discussionmentioning

confidence: 99%

“…It is known that both concepts have a relationship with frailty, but new studies would be necessary to understand and to distinguish which one best evaluates frailty. Regarding to social activities, such as gatherings, leisure activities and religious activities, visiting friends and family and talking with neighbours, these have shown to be associated with a lower probability of frailty (Chen et al, 2014); but none of the instruments included in this review specifies the type of social activities under assessment, reporting an overall set of behaviours. We point out that cultural factors and cross-cultural differences, such the religious activities, may also have an impact on the social dimensions of frailty, by building social networks (Lim & Putnam, 2010) and increasing social support (Roh et al, 2015).…”

Section: Discussionmentioning

confidence: 99%