Dataset Information

Frailty among middle-aged and older women and men in India: findings from wave 1 of the longitudinal Ageing study in India.

ABSTRACT:

Objectives

Few studies have examined frailty in Indian adults, despite an increasing population of older adults and an escalating burden of chronic diseases. We aimed to study the prevalence and correlates of frailty in middle-aged and older Indian adults.

Setting

Cross-sectional data from Wave 1 of Longitudinal Ageing Study in India, conducted in 2017-2018 across all states and union territories, were used.

Participants

The final analytical sample included 57 649 participants aged 45 years and above who had information on frailty status.

Primary outcome measure

The deficits accumulation approach to measuring frailty was employed, creating a frailty index between 0 and 1, based on 40 deficits. Individuals with a frailty index of 0.25 or more were defined as 'frail'.

Results

Prevalence of frailty among 45+ adults was 30%. 60+ women were two times as likely to be frail compared with 60+ men, after adjusting for a wide range of sociodemographic, economic and lifestyle factors. The sex difference was more pronounced in adults aged 45-59 years. Odds of hospitalisation in the last 12 months, and having falls in the past 2 years, were two times as high in frail adults compared with non-frail adults. Frail middle-aged and older adults had 33% and 39% higher odds, respectively, of having poor cognition than non-frail adults. The relative increase was higher in women for all three outcomes, although not statistically significant.

Conclusions

There needs to be careful consideration of sex differences when addressing frailty, particularly for optimising frailty interventions. Frailty, although typically assessed in older adults, was shown in this study to be also prevalent and associated with adverse outcomes in middle-aged Indian adults. More research into assessment of frailty in younger populations, its trajectory and correlates may help develop public health measures for prevention of frailty.

SUBMITTER: Ghosh A

PROVIDER: S-EPMC10391831 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Frailty among middle-aged and older women and men in India: findings from wave 1 of the longitudinal Ageing study in India.

Ghosh Arpita A Kundu Monica M Devasenapathy Niveditha N Woodward Mark M Jha Vivekanand V

BMJ open 20230731 7

<h4>Objectives</h4>Few studies have examined frailty in Indian adults, despite an increasing population of older adults and an escalating burden of chronic diseases. We aimed to study the prevalence and correlates of frailty in middle-aged and older Indian adults.<h4>Setting</h4>Cross-sectional data from Wave 1 of Longitudinal Ageing Study in India, conducted in 2017-2018 across all states and union territories, were used.<h4>Participants</h4>The final analytical sample included 57 649 participa ...[more]

PMID: 37524559

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Project description:BackgroundPain has been suggested to act as a stressor during aging, potentially accelerating declines in health and functioning. Our objective was to examine the longitudinal association between self-reported pain and the development, or worsening, of frailty among older men and women.MethodsThe study population consisted of 5,316 men and women living in private households in England, mean age 64.5 years, participating in the English Longitudinal Study of Ageing (ELSA). Data from Waves 2 and 6 of ELSA were used in this study with 8 years of follow-up. At Wave 2, participants were asked whether they were "often troubled with pain" and for those who reported yes, further information regarding the intensity of their pain (mild, moderate, or severe) was collected. Socioeconomic status (SES) was assessed using information about the current/most recent occupation and also net wealth. A frailty index (FI) was generated, with the presence of frailty defined as an FI >0.35. Among those without frailty at Wave 2, the association between pain at Wave 2 and frailty at Wave 6 was examined using logistic regression. We investigated whether pain predicted change in FI between Waves 2 and 6 using a negative binomial regression model. For both models adjustments were made for age, gender, lifestyle factors, depressive symptoms, and socioeconomic factors.ResultsAt Wave 2, 455 (19.7%) men and 856 (28.7%) women reported they often experienced moderate or severe pain. Of the 5,159 participants who were nonfrail at Wave 2, 328 (6.4%) were frail by Wave 6. The mean FI was 0.11 (standard deviation [SD] = 0.1) at Wave 2 and 0.15 (SD = 0.1) at Wave 6. After adjustment for age, gender, body mass index, lifestyle factors, and depressive symptoms, compared to participants reporting no pain at Wave 2 those reporting moderate (odds ratio [OR] = 3.08, 95% confidence interval [CI] = 2.28, 4.16) or severe pain (OR = 3.78, 95% CI = 2.51, 5.71) were significantly more likely to be frail at Wave 6. This association persisted after further adjustment for either occupational class and/or net wealth level. Compared to those without pain, those with mild, moderate, or severe pain were also more likely to develop worsening frailty, as assessed using the FI, and this association persisted after adjustment for SES. There was no evidence that the association between pain and frailty was influenced by gender.ConclusionPain is associated with an increased risk and intensity of frailty in older men and women. Socioeconomic factors contribute to the occurrence of frailty; though in our study do not explain the relationship between pain and frailty.

Project description:BackgroundDepression is a major public health challenge linked with several poor health outcomes and disabilities among adults aged 45 years and older in India. We aimed to describe the prevalence of depression and its association with a variety of sociodemographic correlates and co-existing health conditions for this age group in India and its states.MethodsIn this prospective cohort study, data from wave 1 (baseline) of the Longitudinal Ageing Study in India were used to estimate the national and subnational state level age-standardised prevalence of depression-major depressive episodes-using the internationally validated Composite International Diagnostic Interview-Short Form (CIDI-SF) scale. Hierarchical mixed effect multivariate logistic regression models were used to study the sociodemographic correlates and co-existing health conditions of major depressive episodes among the nationally representative sample of 72 250 adults aged 45 years and older from 35 states or union territories (except the state of Sikkim). Associations between depression and self-rated health, co-morbid conditions, functional health, and life satisfaction measures were also examined.FindingsA total of 40 335 (58·3%) females and 29 407 (41·7%) males aged 45 to 116 years (median age 58 years) participated. The overall age-standardised prevalence of depression based on CIDI-SF scale was 5·7% (95% CI 5·5-5·8) compared with 0·5% (0·5-0·6) self-reported prevalence of depression among adults aged 45 years and older in India. Wide sub-national variations were seen in depression prevalence, ranging from 0·8% (95% CI 0·3-1·3) in Mizoram state to 12·9% (11·6-14·2) in Madhya Pradesh. Prevalence was higher in females (6·3% [95% CI 6·1-6·6] vs 4·3% [4·1-4·6]) for India, and this higher prevalence was more pronounced in some of the northern states. The risk of depression was higher in those residing in rural areas, widowed, with no or low education, and in the poorest quintile. Depression showed a strong positive association with poor self-rated health (OR 2·39 [95% CI 2·21-2·59]; p<0·0001), with one or more limitations in the activities of daily living (ADL; OR 1·60 [1·46-1·75]; p<0·0001), instrumental ADL limitations (OR 1·51 [1·40-1·64]; p<0·0001), and low cognitive judgment of life satisfaction (OR 1·94 [95% CI 1·78-2·10]; p<0·0001).InterpretationDespite the substantial burden, depression remains undiagnosed and strongly linked with poor health and wellbeing outcomes in adults aged 45 years and older in India. The ageing population of India and the subnational variations amplify the implications of this new evidence to address the substantial gaps in prevention and treatment of depression.FundingLASI was funded by the Ministry of Health and Family Welfare, Government of India, the National Institute of Ageing, USA and the United Nations Population Fund, India.

Project description:Background & objectives Frailty is a geriatric syndrome with clinical and public health implications. It represents the state of increased vulnerability. This study aimed to estimate the prevalence of frailty and pre-frailty by demographic characteristics and geographical regions in India. Furthermore, it also aimed to examine the association of this prevalence with selected health outcomes using data from the Longitudinal Ageing Study of India (LASI). Methods This is a secondary analysis of LASI wave-1 data. A total of 26,058 respondents aged ≥60 yr were included for analysis. Frailty was assessed using Fried's frailty phenotype, including slowness, shrinking, low physical activity, weakness, and low endurance. Descriptive statistics were used to study frailty distribution. The odds ratio (OR) of health events across the frailty categories was computed using ordinal logistic regression. Results The findings of this study suggest that the prevalence of frailty and pre-frailty was 29.2 and 58.8 per cent, respectively. The prevalence of frailty was higher among women (37.3%), illiterate (37%) and rural residents (31%). It ranged between 14.5 per cent in Uttarakhand and 41.3 per cent in Arunachal Pradesh. Frailty was strongly associated with depression [OR: 2.09, Confidence Interval (CI): 1.98-2.21] and activities of daily living (ADL) difficulty (OR: 1.75, CI: 1.64-1.86). Higher odds were reported for fracture (OR: 1.24, CI: 1.01-1.51) and multimorbidity (OR: 1.18, CI: 1.04-1.33) among frailty. Interpretation & conclusions The heterogeneity of frailty prevalence across States indicates the need for population-specific strategies. A sharp age-related increase in prevalence highlights the need for preventive measures. Furthermore, the high prevalence of frailty among women, illiterate and rural residents indicates the target population for receiving preventive interventions. Lastly, a heterogeneity in frailty prevalence across different States indicates the scope for region-specific programmes.

Project description:BackgroundThe number of persons who have survived cancer has been increasing in India as elsewhere due to advances in detection and treatment of this disease. However, evidence on the standardised number of cancer survivors, their characteristics and their complex health challenges on a national level does not exist due to data limitations. This study, therefore, examines the profile of cancer survivors and their health status using the recently released Longitudinal Ageing Study in India (LASI) survey data.MethodsLASI wave 1 is a cross-sectional nationally representative survey of 65,562 middle and older adults aged 45 and above. We first calculated the socioeconomic, demographic and geographical characteristics of cancer survivors (per 100,000 population). We later estimated the adjusted odds of poor health, sleep problems, depressive symptoms, activities of living limitations (ADL and IADL), and hospitalisation of cancer survivors using multivariable logistic regression analysis.ResultsAccording to LASI estimates, there were 2.1 million cancer survivors in India (95% CI 1.8 million to 2.6 million) in 2017-18. Overall, 440 cancer survivors have been identified in this study, with considerable state variations. The number of cancer survivors per 1,00,000 population was relatively more in non-indigenous groups, people with a history of cancer in their families, those who worked earlier but currently not working and those in the richest quintile categories. As compared to those who never had cancer, the cancer survivors are at higher risk of hospitalisation (adjusted odds ratio (aOR) = 2.61 CI 1.86, 3.67), poor self-rated health (aOR = 3.77, CI 2.55, 5.54), depressive symptoms (aOR = 1.53, CI 1.41, 2.05) and sleep problems (aOR = 2.29, CI 1.50, 3.47). They also reported higher ADL (aOR = 1.61, CI 1.11, 2.34) and IADL (aOR = 1.49, CI 1.07, 2.07) limitations. Cancer survivors who had their cancer diagnosis in the past 2 years or a cancer-related treatment in the past 2 years have significantly higher odds of poor health status than middle-aged and older adults without a cancer history.ConclusionMiddle-aged and older cancer survivors, particularly those who underwent cancer diagnosis or treatment in the past 2 years, are at a significantly higher risk of experiencing poor self-reported health and other health challenges, suggesting the need for an integrated healthcare approach.

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Dataset Information

Frailty among middle-aged and older women and men in India: findings from wave 1 of the longitudinal Ageing study in India.

Objectives

Setting

Participants

Primary outcome measure

Results

Conclusions

Publications

Frailty among middle-aged and older women and men in India: findings from wave 1 of the longitudinal Ageing study in India.

Similar Datasets

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