scholarly journals Does childhood financial status relate to satisfaction in late life: Findings from the Longitudinal Aging Study in India

2022 ◽  
pp. 100054
Author(s):  
T.Anvi Maria MuhammadJoy
2001 ◽  
Vol 65 (2) ◽  
pp. 131-138 ◽  
Author(s):  
A.T.F Beekman ◽  
D.J.H Deeg ◽  
S.W Geerlings ◽  
R.A Schoevers ◽  
J.H Smit ◽  
...  

2016 ◽  
Vol 201 ◽  
pp. 171-178 ◽  
Author(s):  
Anamaria Brailean ◽  
Hannie C. Comijs ◽  
Marja J. Aartsen ◽  
Martin Prince ◽  
A. Matthew Prina ◽  
...  

BMJ Open ◽  
2019 ◽  
Vol 9 (7) ◽  
pp. e030300 ◽  
Author(s):  
Jinkook Lee ◽  
Joyita Banerjee ◽  
Pranali Yogiraj Khobragade ◽  
Marco Angrisani ◽  
A B Dey

IntroductionAlzheimer’s disease and related dementias can be considered the epidemic of the 21st century. Particularly, the predicted growth in the size of elderly populations in low-income and middle-income countries is expected to produce a dramatic surge in dementia prevalence and incidence. Although a rising burden of dementia presents an urgent challenge for India, previous efforts to study dementia in the country have relied on non-representative samples in geographically restricted regions. The Harmonised Diagnostic Assessment of Dementia for the Longitudinal Aging Study in India (LASI-DAD) will provide rich, population-representative data on late-life cognition and dementia and their risk factors for the first time in India.MethodsThe LASI-DAD will recruit a sample of 3000 people aged 60+ years. Their family members or friends, whom respondents nominate as informants, participate in the computer-assisted personal interview. The study sample is drawn from the ongoing, nationally representative Longitudinal Aging Study in India, a multipurpose panel survey of aging. We aim to collect rich data on cognitive and neuropsychological tests, informant reports, and epidemiological data through a comprehensive geriatric assessment, and venous blood collection and assays. For a subsample, we collect neuroimaging data. Data collection is currently in progress in 14 States and Union Territories of India. Clinicians will provide clinical consensus diagnosis based on the Clinical Dementia Rating.Ethics and disseminationEthics approval was obtained from the Indian Council of Medical Research and all collaborating institutions. Anonymised data will be available for the larger research community through a secured website hosted by the Gateway to Global Aging Data platform. Research findings from the LASI-DAD team will be disseminated through journal publications and presentations at professional conferences.


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 659-659
Author(s):  
Jinkook Lee

Abstract With more than1.35 billion people, India, the second-most populous country in the world, is soon to experience rapid aging of its population. By2050, India’s older population is projected to reach320 million (about the current size of the entire U.S. population). In this session we introduce the Longitudinal Aging Study in India – Diagnostic Assessment of Dementia (LASI-DAD), a new cohort study designed to advance dementia research to better understand late-life cognition, cognitive aging, cognitive impairment, and dementia, as well as their risk and protective factors. LASI is a prospective, multi-purpose population survey of older adults aged45 and older, representative of the entire country and of each state (N~72,000). LASI-DAD is an in-depth study of late-life cognition and dementia, drawing a sub-sample of older adults aged60 and older from LASI (N~4,300). It administered the Harmonized Cognitive Assessment Protocol (HCAP), which consists of a pair of in-person interviews, one with the target respondent and one with an informant nominated by the respondent. The respondent interview includes a neuropsychological test battery designed to measure a range of key cognitive domains affected by cognitive aging and Alzheimer’s Diseases. We organize the session to showcase LASI-DAD. Specifically, the session consists of four papers, including: (1) the introduction of the design and methodology, (2) the latent structure of neuropsychological test results, (3) the investigation of the relationship between visual impairment and cognition, and (4) the examination of female disadvantage in dementia and its association with cross-state variations in gender inequality.


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 660-660
Author(s):  
Jinkook Lee ◽  
Pranali Khobragade ◽  
Joyita Banerjee ◽  
Sandy Chien

Abstract Longitudinal Aging Study in India is a nationally representative survey of the health, economic, and social wellbeing of the Indian population aged 45 and older. LASI-DAD is an in-depth study of late-life cognition and dementia, drawing a sub-sample of over 4,000 LASI respondents aged 60 or older. Respondents underwent a battery of cognitive tests, while their informants were interviewed about their cognitive and health conditions. A common set of cognitive tests was selected to enable international comparisons, and additional cognitive tests suitable for illiterate and innumerate populations were also selected. Rich data on risk factors of dementia were collected through health examinations, venous blood assays, and genotyping. The response rate was 82.9%, varying across sex, education, and urbanicity. LASI-DAD provides an opportunity to study late-life cognition and dementia and their risk factors in the older population in India and to gain further insights through cross-country analysis.


Author(s):  
Noah A. Schuster ◽  
Sascha de Breij ◽  
Laura A. Schaap ◽  
Natasja M. van Schoor ◽  
Mike J. L. Peters ◽  
...  

Abstract Purpose Delay of routine medical care during the COVID-19 pandemic may have serious consequences for the health and functioning of older adults. The aim of this study was to investigate whether older adults reported cancellation or avoidance of medical care during the first months of the COVID-19 pandemic, and to explore associations with health and socio-demographic characteristics. Methods Cross-sectional data of 880 older adults aged ≥ 62 years (mean age 73.4 years, 50.3% female) were used from the COVID-19 questionnaire of the Longitudinal Aging Study Amsterdam, a cohort study among community-dwelling older adults in the Netherlands. Cancellation and avoidance of care were assessed by self-report, and covered questions on cancellation of primary care (general practitioner), cancellation of hospital outpatient care, and postponed help-seeking. Respondent characteristics included age, sex, educational level, loneliness, depression, anxiety, frailty, multimorbidity and information on quarantine. Results 35% of the sample reported cancellations due to the COVID-19 situation, either initiated by the respondent (12%) or by healthcare professionals (29%). Postponed help-seeking was reported by 8% of the sample. Multimorbidity was associated with healthcare-initiated cancellations (primary care OR = 1.92, 95% CI = 1.09–3.50; hospital OR = 1.86, 95% CI = 1.28–2.74) and respondent-initiated hospital outpatient cancellations (OR = 2.02, 95% CI = 1.04–4.12). Depressive symptoms were associated with postponed help-seeking (OR = 1.15, 95% CI = 1.06–1.24). Conclusion About one third of the study sample reported cancellation or avoidance of medical care during the first months of the pandemic, and this was more common among those with multiple chronic conditions. How this impacts outcomes in the long term should be investigated in future research.


Author(s):  
Erwin Stolz ◽  
Emiel O Hoogendijk ◽  
Hannes Mayerl ◽  
Wolfgang Freidl

Abstract Background Baseline frailty index (FI) values have been shown to predict mortality among older adults, but little is known about the effects of changes in FI on mortality. Methods In a coordinated approach, we analyzed data from 4 population-based cohorts: the Health and Retirement Study (HRS), the Survey of Health, Ageing and Retirement in Europe (SHARE), the English Longitudinal Survey of Ageing (ELSA), and the Longitudinal Aging Study Amsterdam (LASA), comprising a total of 24 961 respondents (65+), 95 897 observations, up to 9 repeated FI assessments, and up to 23 years of mortality follow-up. The effect of time-varying FI on mortality was modeled with joint regression models for longitudinal and time-to-event data. Results Differences (of 0.01) in current FI levels (hazard ratio [HR] = 1.04, 95% credible interval [CI] = 1.03–1.05) and baseline FI levels (HR = 1.03, 95% CI = 1.03–1.05) were consistently associated with mortality across studies. Importantly, individuals with steeper FI growth also had a higher mortality risk: An increase in annual FI growth by 0.01 was associated with an increased mortality risk of HR = 1.56 (95% CI = 1.49–1.63) in HRS, HR = 1.24 (95% CI = 1.13–1.35) in SHARE, HR = 1.40 (95% CI = 1.25–1.52) in ELSA, and HR = 1.71 (95% CI = 1.46–2.01) in LASA. Conclusions FI changes predicted mortality independently of baseline FI differences. Repeated assessment of frailty and individual’s frailty trajectory could provide a means to anticipate further health deterioration and mortality and could thus support clinical decision making.


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