Dataset Information

Prevalence of dementia in India: National and state estimates from a nationwide study.

ABSTRACT:

Introduction

Prior estimates of dementia prevalence in India were based on samples from selected communities, inadequately representing the national and state populations.

Methods

From the Longitudinal Aging Study in India (LASI) we recruited a sample of adults ages 60+ and administered a rich battery of neuropsychological tests and an informant interview in 2018 through 2020. We obtained a clinical consensus rating of dementia status for a subsample (N = 2528), fitted a logistic model for dementia status on this subsample, and then imputed dementia status for all other LASI respondents aged 60+ (N = 28,949).

Results

The estimated dementia prevalence for adults ages 60+ in India is 7.4%, with significant age and education gradients, sex and urban/rural differences, and cross-state variation.

Discussion

An estimated 8.8 million Indians older than 60 years have dementia. The burden of dementia cases is unevenly distributed across states and subpopulations and may therefore require different levels of local planning and support.

Highlights

The estimated dementia prevalence for adults ages 60+ in India is 7.4%. About 8.8 million Indians older than 60 years live with dementia. Dementia is more prevalent among females than males and in rural than urban areas. Significant cross-state variation exists in dementia prevalence.

SUBMITTER: Lee J

PROVIDER: S-EPMC10338640 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Prevalence of dementia in India: National and state estimates from a nationwide study.

Lee Jinkook J Meijer Erik E Langa Kenneth M KM Ganguli Mary M Varghese Mathew M Banerjee Joyita J Khobragade Pranali P Angrisani Marco M Kurup Ravi R Chakrabarti Sankha Shubhra SS Gambhir Indrajeet Singh IS Koul Parvaiz A PA Goswami Debabrata D Talukdar Arunanshu A Mohanty Rashmi Ranjan RR Yadati Raju Sathyanarayana RS Padmaja Mekala M Sankhe Lalit L Rajguru Chhaya C Gupta Monica M Kumar Govind G Dhar Minakshi M Chatterjee Prasun P Singhal Sunny S Bansal Rishav R Bajpai Swati S Desai Gaurav G Rao Abhijith R AR Sivakumar Palanimuthu T PT Muliyala Krishna Prasad KP Bhatankar Swaroop S Chattopadhyay Aparajita A Govil Dipti D Pedgaonkar Sarang S Sekher T V TV Bloom David E DE Crimmins Eileen M EM Dey Aparajit Ballav AB

Alzheimer's & dementia : the journal of the Alzheimer's Association 20230113 7

<h4>Introduction</h4>Prior estimates of dementia prevalence in India were based on samples from selected communities, inadequately representing the national and state populations.<h4>Methods</h4>From the Longitudinal Aging Study in India (LASI) we recruited a sample of adults ages 60+ and administered a rich battery of neuropsychological tests and an informant interview in 2018 through 2020. We obtained a clinical consensus rating of dementia status for a subsample (N = 2528), fitted a logistic ...[more]

PMID: 36637034

Similar Datasets

Project description:BackgroundThe absolute number of pneumonia deaths in India has declined substantially since 2000. However, pneumonia remains a major cause of morbidity in children in the country. We used a risk factor-based model to estimate pneumonia and severe pneumonia morbidity in Indian states in 2000 and 2015.MethodsIn this modelling study, we estimated the burden of pneumonia and severe pneumonia in children younger than 5 years using a risk factor-based model. We did a systematic literature review to identify published data on the incidence of pneumonia from community-based longitudinal studies and calculated summary estimates. We estimated state-specific incidence rates for WHO-defined clinical pneumonia between 2000 and 2015 using Poisson regression and the prevalence of risk factors in each state was obtained from National Family Health Surveys. From clinical pneumonia studies, we identified studies reporting the proportion of clinical pneumonia cases with lower chest wall indrawing to estimate WHO-defined severe pneumonia cases. We used the estimate of the proportion of cases with lower chest wall indrawing to estimate WHO-defined severe pneumonia cases for each state.FindingsBetween 2000 and 2015, the estimated number of pneumonia cases in Indian HIV-uninfected children younger than 5 years decreased from 83·8 million cases (95% uncertainty interval [UI] 14·0-300·8) to 49·8 million cases (9·1-174·2), representing a 41% reduction in pneumonia cases. The incidence of pneumonia in children younger than 5 years in India was 657 cases per 1000 children (95% UI 110-2357) in 2000 and 403 cases per 1000 children (74-1408) in 2015. The estimated national pneumonia case fatality rate in 2015 was 0·38% (95% UI 0·11-2·10). In 2015, the estimated number of severe pneumonia cases was 8·4 million (95% UI 1·2-31·7), with an incidence of 68 cases per 1000 children (9-257) and a case fatality ratio of 2·26% (0·60-16·30). In 2015, the estimated number of pneumonia cases in HIV-uninfected children was highest in Uttar Pradesh (12·4 million [95% UI 2·1-45·0]), Bihar (7·3 million [1·3-26·1]), and Madhya Pradesh (4·6 million [0·7-17·0]). Between 2000 and 2015, the greatest reduction in pneumonia cases was observed in Kerala (82% reduction). In 2015, pneumonia incidence was greater than 500 cases per 1000 children in two states: Uttar Pradesh (565 cases per 1000 children [95% UI 94-2047]) and Madhya Pradesh (563 cases per 1000 children [88-2084]).InterpretationThe estimated number of pneumonia and severe pneumonia cases among children younger than 5 years in India decreased between 2000 and 2015. Improvements in socioeconomic indicators and specific government initiatives are likely to have contributed to declines in the prevalence of pneumonia risk factors in many states. However, pneumonia incidence in many states remains high. The introduction of new vaccines that target pneumonia pathogens and reduce risk factors will help further reduce the burden of pneumonia in the country.FundingBill & Melinda Gates Foundation.

Project description:ObjectivesTo estimate the associations between diabetes, heart disease, and dementia, which may increase the difficulty of self-care; model functional disability trajectories jointly with attrition (death or dropout) over 5 years.DesignPopulation-based complex survey design.SettingNational Health and Aging Trends Study.ParticipantsCommunity-dwelling Medicare beneficiaries aged 65 and older (N=7,609).MeasurementsNational estimates were generated using sampling weights. Sociodemographic characteristics, self-reported physician-diagnosed chronic conditions, six activities of daily living (ADL), and cognitive status were ascertained in annual in-person interviews. A joint model using group-based trajectory modeling was used to estimate the number of ADL disabilities and attrition probability. Multinomial logistic regression with survey weights was used to estimate the association between diabetes, heart disease, and dementia and resultant trajectories of disability, with the least disabled trajectory used as a reference.ResultsThree functional disability trajectories were identified: 26.9 million (76.3%) individuals with no disability and a constant study attrition of 14.3%, 4.9 million (13.9%) with mild and increasing disability and 12% attrition in 2012 and 27.2% in 2015, and 3.4 million (9.7%) with severe and increasing disability and 25.4% attrition in 2012 and 35% in 2015. Persons with possible dementia, possible dementia and diabetes, or possible dementia with diabetes and heart disease had significantly greater odds of being on the mild disability trajectory than those with no disability. Persons with probable dementia, representing more than 1.5 million persons, regardless of concurrent conditions, had significantly greater odds of being on the severe disability trajectory than on the no disability trajectory.ConclusionsMethods that generate national estimates and account for attrition and for multiple chronic conditions and cognitive status may be useful for health policy-makers to make decisions on care provisions and services.

Dataset Information

Prevalence of dementia in India: National and state estimates from a nationwide study.

Introduction

Methods

Results

Discussion

Highlights

Publications

Prevalence of dementia in India: National and state estimates from a nationwide study.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets