Patterns of Frailty and Quality of Life among Older Adults: Comparative Analysis Using SAGE States of India

Chaudhary, Mamta; Arokiasamy, Perianayagam

doi:10.1007/s12062-017-9201-7

Cited by 8 publications

(9 citation statements)

References 58 publications

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“…A summary of the screening procedure is provided in Figure 1. A total of 53 studies were finally included and are discussed in the present review 32–84 . A synopsis of the included studies characteristics is provided in Table 1.…”

Section: Resultsmentioning

confidence: 99%

Association between cognitive reserve dimensions and frailty among older adults: A structured narrative review

Sardella

Catalano

Lenzo

et al. 2020

Geriatrics Gerontology Int

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Frailty is a broadly investigated geriatric condition, which is characterized by an increased vulnerability to stressors. It represents an extremely relevant public health issue, increasingly conceptualized in a multidimensional perspective. The concept of cognitive reserve (CR), as originally conceptualized by Stern, has been developed in the past decades as a potential factor able to determine individual differences in cognitive vulnerability and trajectories occurring with aging. Our purpose was to provide a comprehensive review of the literature exploring the relationship between CR dimensions, selected according to the Stern model, and frailty status. A review of the literature on the association between potential CR dimensions and frailty was carried out through PubMed, Web of Knowledge and Scopus. CR expressed in terms of education, occupation, premorbid intelligence quotient and leisure time activities was associated with frailty in both cross-sectional and longitudinal observations. The majority of reviewed evidence suggests a potential protective role of CR factors against the onset and the worsening of frailty among older adults. To the best of our knowledge, this is the first attempt to provide a comprehensive overview regarding the association between CR dimensions and frailty. Education, occupation, premorbid intelligence quotient and leisure time activities are able to interact with the general concept of frailty, rather than simply affecting the cognitive trajectory towards dementia. The lack of a unique and operationalized approach to the assessment of CR, as well as the wide heterogeneity of frailty evaluation tools and criteria, denote some methodological critical issues that need to be overcome.

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Section: Resultsmentioning

confidence: 99%

Association between cognitive reserve dimensions and frailty among older adults: A structured narrative review

Sardella

Catalano

Lenzo

et al. 2020

Geriatrics Gerontology Int

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“…29 In the Toledo Study of Healthy Aging, among community-dwelling older As frailty syndrome is associated with sarcopenia, early diagnosis and prevention of sarcopenia is needed for better management of frailty syndrome, particularly in West Bengal where its prevalence of frailty syndrome is the highest among Indian states. 8 However, studies with a larger sample size are warranted to validate our findings in different communities and to develop community-specific strategies for healthy ageing in India. The Fried frailty criteria and the Asian Working Group for Sarcopenia criteria are widely used and allow us to compare our results with other studies.…”

Section: Discussionmentioning

confidence: 82%

“…7 Residents of West Bengal have the highest mean frailty score than do the residents of other Indian states, and rural residents of West Bengal are at significantly higher risk of frailty than are their urban counterparts. 8 Frailty syndrome can be reversed, especially in mild stages. 9 Sarcopenia is defined as an age-related decrease of muscle mass and considered a precursor syndrome or the physical manifestation of frailty.…”

Section: Introductionmentioning

confidence: 99%

Frailty syndrome and sarcopenia among rural older adults in West Bengal, India: a cross-sectional study

Das

Mukhopadhyay

2021

Asian Journal of Gerontology and Geriatrics

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Background. Frailty is a multidimensional syndrome. Sarcopenia plays an essential role in the early diagnosis and prevention of frailty syndrome. Therefore, we examined the association of frailty syndrome with sarcopenia among community-dwelling rural older adults in West Bengal.Methods: This cross-sectional survey was conducted between October 2018 and January 2020 in 510 (230 men and 280 women) older adults aged ≥60 years who had lived for >10 years in the selected villages of Pancharul Gram Panchayat, Udaynarayanpur Block of Howrah District, West Bengal, India. Participants were assessed for frailty syndrome and sarcopenia as well as cognitive impairment, social support, history of fall, and nutritional status by a single investigator. Frailty syndrome was assessed using the modified Physical Frailty Phenotype Scale. Frailty is defined as a display of ≥3 of five physiological deficits: low weight, low gait speed, reduced muscle strength, exhaustion, and low physical activity. Sarcopenia was assessed using the Asian Working Group on Sarcopenia 2014 consensus by measuring dominant hand grip strength, gait speed, and skeletal muscle mass index.Results: Of the 510 participants, 44 (8.6%) were both frail and sarcopenic, 88 (17.3%) were frail only, 16 (3.1%) were sarcopenic only, and 362 (71.0%) were non-frail and non-sarcopenic. The prevalence of frailty syndrome was 25.9%, whereas the prevalence of sarcopenia was 11.8%. Compared with non-frail participants, frail participants were six times (adjusted OR=6.42, p<0.01) more likely to be sarcopenic after adjusting for age, marital status, educational level, occupational work, cognitive impairment, social support, history of fall, and nutritional status. Conclusion:Sarcopenia affects the development of frailty syndrome.

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“…In addition, the mean frailty score demonstrated a strong inverse relationship with education, with lower levels of education showing higher levels of frailty. 39 Individuals living in rural areas were more likely to be frail than those residing in urban areas. The frailty gap among urban-rural inhabitants can be explained by differences in their wealth index, education, physical activity, community engagement.…”

Section: Relationship Of Frailty With Sociodemographic Factorsmentioning

confidence: 99%

The prevalence of frailty and its relationship with sociodemographic factors, regional healthcare disparities, and healthcare utilization in the aging population across India

Singhal,

Singh,

Dewangan

et al. 2023

Aging Medicine

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BackgroundThe burden of frailty in developing countries and its relationship with complex social structures, such as caste, religion, and regional health care differences and its effect on health care outcomes are not well‐characterized. The aim of the study was to estimate frailty prevalence and its relationship with the socio‐economic and regional factors and health care outcomes.MethodsIn this study, participants from the harmonized Diagnostic Assessment of Dementia for the Longitudinal Aging Study in India (LASI‐DAD) were included. The frailty index (FI) was calculated using a 32‐variable deficit model, with a value of ≥ 25% considered as frail. Data on demographic (including caste and religion) and socioeconomic profiles and health care utilization were obtained. The state‐wise health index maintained by the government based on various health‐related parameters was used to group the participants' residential states into high‐, intermediate‐, and low‐performing states. Multivariable and zero‐inflated negative binomial regression was used to assess the relationship of frailty index with sociodemographic characteristics, health index, and health care expenditure or hospitalization.ResultsAmong the 3953 eligible participants, the prevalence of frailty was 42.34% (men = 34.99% and women = 49.35%). Compared to high‐performing states, intermediate‐ and low‐performing states had a higher proportion of frail individuals (49.7% vs. 46.8% vs. 34.5%, P < 0.001). In the adjusted analysis, frailty was positively associated with age, female sex, rural locality, lower education level, and caste (scheduled caste and other backward classes). After adjusting for the socio‐economic profile, FI was inversely associated with the composite health index of a state (P < 0.001). FI was also significantly correlated with total 1‐year health care expenditure and hospitalization (P < 0.001 and 0.020, respectively).ConclusionThere is a high prevalence of frailty among older Indian adults that is associated with sociodemographic factors and regional health care performance. Furthermore, frailty is associated with increased health care utilization and expenditure.

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Patterns of Frailty and Quality of Life among Older Adults: Comparative Analysis Using SAGE States of India

Cited by 8 publications

References 58 publications

Association between cognitive reserve dimensions and frailty among older adults: A structured narrative review

Association between cognitive reserve dimensions and frailty among older adults: A structured narrative review

Frailty syndrome and sarcopenia among rural older adults in West Bengal, India: a cross-sectional study

The prevalence of frailty and its relationship with sociodemographic factors, regional healthcare disparities, and healthcare utilization in the aging population across India

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