Cohort Profile: The Longitudinal Ageing Study in India (LASI)

Arokiasamy, Perianayagam; Bloom, David E.; Lee, Jinkook; Parasuraman, S; Sekher, T. V.; Mohanty, Sanjay K.; Chattopadhyay, Aparajita; Govil, Dipti; Pedgaonkar, Sarang; Gupta, Sangeeta; Agarwal, Arunika; Posture, Ashok; Weerman, Albert; Pramanik, Santanu

doi:10.1093/ije/dyab266

Cited by 55 publications

(58 citation statements)

References 2 publications

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“…This study used data from the baseline (first) wave of the Longitudinal Aging Study in India (2017–19). LASI is the first nationally representative survey of the health, economic, and social wellbeing of the Indian population aged 45 and older ( Perianayagam et al, 2022 ). The study sample is representative of each of the Indian States and Union Territories and includes an over-sample of individuals over the age of 60.…”

Section: Methodsmentioning

confidence: 99%

Widowhood and cognition among older women in India: New insights on widowhood duration and mediators

Jain¹,

Liu²,

Langa³

et al. 2022

SSM - Population Health

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Section: Methodsmentioning

confidence: 99%

Widowhood and cognition among older women in India: New insights on widowhood duration and mediators

Jain¹,

Liu²,

Langa³

et al. 2022

SSM - Population Health

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“…LASI Wave 1 collected data from 35 of India's 36 states and union territories (excluding Sikkim). LASI used strati ed, multistage cluster sampling to select (non-institutional) households, within which all individuals aged 45 years and older, and their spouses, were interviewed face-to-face [33]. This study is restricted to only 58,328 individuals from all states (except Sikkim), who have aged above 45 years and responded to all the variables of interest for this study.…”

Section: Methods Study Design and Participantsmentioning

confidence: 99%

“…Chan School of Public Health (HSPH), Boston; IRB, University of Southern California (USC), Los Angeles; IRB, ICMR National AIDS Research Institute (NARI), Pune; and IRB, Regional Geriatric Centres (RGCs), MoHFW. Written informed consent was obtained from all study participants [33].…”

Section: Methods Study Design and Participantsmentioning

confidence: 99%

Association of Pain and Quality of life among middle-aged and elderly Indians.

Goyal

Mohanty

2022

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Background: India is passing through a phase of demographic and epidemiological transition where ageing and chronic morbidities are being more common. Though studies examined the prevalence, variation and risk factors of many chronic morbidities, we didn’t find any research examining the effect of pain on QOL of older adults in India. This study examines the effect of pain on quality of life (QOL) among middle-aged and elderly in India. Methods: This study uses the data from wave 1 of the Longitudinal Ageing Study in India (LASI) conducted in 2017-18. This study is restricted to 58,328 individuals from all states (except Sikkim), who have aged above 45 years. A multivariate model has been used to show the association between pain and quality of life. Results: It is estimated that approximately 37% of Indian middle-aged and older populations are often troubled with pain. Pain prevalence increase with age and is more common among elderly aged 75 + years (40.48%; 95% CI, 38.02–42.94), women (43.32%; 95% CI, 41.51–45.12). The overall QOL score was found to be 87 on a scale of 0-100 and it varies by different socio-demographic factors. Results from the multivariate analysis suggest that the occurrence of pain reduces the QOL by 4.58 units (β= -3.58; 95% CI, -4.00 - -3.17). Conclusion: This article shows the association between pain and quality of life among middle-aged adults and the elderly in India. This evidence could potentially help the policymakers to consider pain as a significant determinant of quality of life as the presence of pain significantly reduces the QOL among the middle-aged and elderly in India

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“…We have described details of LASI in previous reports. [21][22][23] Briefly, LASI is a nationally representative, longitudinal study of N=72,262 Indian men and women aged 45 and older and their spouses of all ages. While follow-up waves of data collection are in progress, at present only baseline LASI data are available.…”

Section: Study Design and Samplementioning

confidence: 99%

Diabetes and Cognitive Health in India: A Nationally Representative Survey of Adults Aged 45 Years and Older

Flood

Green

Gross

et al. 2022

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Background: Few studies have assessed the relationship between diabetes and cognitive health outside of high-income countries. We described this relationship in India, a middle-income country of 1.4 billion people. Methods: Data were analyzed from 58,027 adults aged 45 years or older in the baseline wave of the nationally representative Longitudinal Aging Study in India, from 2017 to 2019. Outcomes were scaled cognitive scores (mean of 0 and standard deviation [SD] of 1) and cognitive impairment, defined as a cognitive score 1.5 standard deviations or below the age- and education-matched mean. Diabetes was defined as a self-report of a prior diabetes diagnosis made by a health professional or having a measured hemoglobin A1c ≥6.5% at the time of the LASI survey. To describe the cross-sectional relationship between cognitive health and diabetes, we constructed survey-weighted multivariable linear and logistic regression models controlling for prespecified covariates, including age, sex, sociodemographic characteristics, and rural versus urban residence. Results: In age- and sex-adjusted models, people with diabetes had cognitive scores that were 0.25 SD higher (95% CI: 0.23 to 0.27) and had a 1.3% (95% CI: 0.7 to 1.8) lower prevalence of cognitive impairment than people without diabetes. Differences persisted even when adjusting for demographic, socioeconomic, and geographic characteristics. Rural versus urban residence modified the relationships of diabetes with cognitive score (P = 0.001) and cognitive impairment (P = 0.004). In fully adjusted models, rural respondents with diabetes had 0.05 SD (95% CI: 0.03 to 0.07) greater cognitive scores and 1.7% (95% CI: 0.9 to 2.5) lower prevalence of cognitive impairment than those without diabetes. In urban areas, respondents with and without diabetes had similar cognitive scores and prevalence of cognitive impairment. Conclusion: Urban-rural health differences, the nutrition transition, and social conditions likely influence the observed cross-sectional relationship between diabetes and cognitive dysfunction in India, leading to different associations than previously reported in many high-income countries.

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Cohort Profile: The Longitudinal Ageing Study in India (LASI)

Cited by 55 publications

References 2 publications

Widowhood and cognition among older women in India: New insights on widowhood duration and mediators

Widowhood and cognition among older women in India: New insights on widowhood duration and mediators

Association of Pain and Quality of life among middle-aged and elderly Indians.

Diabetes and Cognitive Health in India: A Nationally Representative Survey of Adults Aged 45 Years and Older

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