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Aparajit Ballav Dey

Biographic Data

ID232908
NAMEAparajit Ballav Dey
GIVEN NAMESAparajit Ballav
FAMILY NAMEDey
SIGNATUREDEY A B
AFFILIATIONSAll India Institute of Medical Sciences
ORCID0000-0003-0979-9413
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS2
WORKS AS AUTHOR6
WORKS AS EDITOR0
FIRST PUBLICATION YEAR1998
LATEST PUBLICATION YEAR2025
H-INDEX1
  • Prevalence and causes of anemia among older adults in India

    Open Access•Anushikha Dhankhar, Pranali Khobragade et al.•ARTICLE•International Journal for Equity…•2025

    Anemia among older adults aged ≥ 60 years is a well-described risk factor that increases the risk of falls, cardiovascular diseases, and mortality. In India, objectively measured national estimates of anemia prevalence and the causes of anemia among older adults are lacking. The Harmonized Diagnostic Assessment of Dementia for the Longitudinal Aging Study in India (LASI-DAD) collected venous blood samples from a nationally representative sample o…

  • Methodological considerations of diet assessment of the older Indian population in the longitudinal aging study in India—Harmonised Diagnostic Assessment of Dementia (Lasi-DAD)

    Open Access•Joyita Banerjee, Alka Mohan Chutani et al.•ARTICLE•BMC Public Health•2025

    The LASI-DAD FFQ proved to be a good tool for dietary data collection from a diverse, older Indian population. It is a single, comprehensive questionnaire adapted to the diverse dietary habits of older Indian population factoring in socio-economic, geographic, cultural, religious and seasonal variations, and it will help explore potential associations between diet and late-life cognition in older Indians

  • Trajectories and correlates of poor mental health in India over the course of the Covid-19 pandemic

    Open Access•Emma Nichols, Sarah Petrosyan et al.•ARTICLE•BMJ Global Health•2024

    INTRODUCTION: The COVID-19 pandemic had large impacts on mental health; however, most existing evidence is focused on the initial lockdown period and high-income contexts. By assessing trajectories of mental health symptoms in India over 2 years, we aim to understand the effect of later time periods and pandemic characteristics on mental health in a lower-middle income context. METHODS: We used data from the Real-Time Insights of COVID-19 in Indi…

  • Cohort Profile

    Open Access•Joyita Banerjee, Sarah Petrosyan et al.•ARTICLE•BMC Public Health•2023

    The study group will analyse the data collected showing the real-time changes throughout the pandemic and will make the data widely available for researchers to conduct further studies

  • Methodological considerations in designing and implementing the harmonized diagnostic assessment of dementia for longitudinal aging study in India (Lasi-DAD)

    Joyita Banerjee, Urvashi Jain et al.•ARTICLE•Biodemography and Social Biology•2020•References: 34

    The Harmonized Diagnostic Assessment of Dementia for Longitudinal Aging Study in India (LASI-DAD) is a population-representative, prospective cohort study of late-life cognition and dementia. It is part of an ongoing international research collaboration that aims to measure and understand cognitive impairment and dementia risk by collecting a set of cognitive and neuropsychological assessments and informant reports, referred to as the Harmonized …

  • Modeling all-cause mortality

    Louise B Russell, Jeffrey L Carson et al.•ARTICLE•American Journal of Public Health•1998•Cited by: 2•References: 6

    OBJECTIVES: A model that relates clinical risk factors to subsequent mortality was used to simulate the impact of smoking cessation. METHODS: Survivor functions derived from multivariate hazard regressions fitted to data from the first National Health and Nutrition Examination Survey (NHANES I) Epidemiologic Followup Study, a longitudinal survey of a representative sample of US adults, were used to project deaths from all causes. RESULTS: Validat…

  • Modeling all-cause mortality

    Louise B Russell, Jeffrey L Carson et al.•ARTICLE•American Journal of Public Health•1998•Cited by: 2•References: 6

    OBJECTIVES: A model that relates clinical risk factors to subsequent mortality was used to simulate the impact of smoking cessation. METHODS: Survivor functions derived from multivariate hazard regressions fitted to data from the first National Health and Nutrition Examination Survey (NHANES I) Epidemiologic Followup Study, a longitudinal survey of a representative sample of US adults, were used to project deaths from all causes. RESULTS: Validat…

  • Modeling all-cause mortality

    Louise B Russell, Jeffrey L Carson et al.•ARTICLE•American Journal of Public Health•1998•Cited by: 2•References: 6

    OBJECTIVES: A model that relates clinical risk factors to subsequent mortality was used to simulate the impact of smoking cessation. METHODS: Survivor functions derived from multivariate hazard regressions fitted to data from the first National Health and Nutrition Examination Survey (NHANES I) Epidemiologic Followup Study, a longitudinal survey of a representative sample of US adults, were used to project deaths from all causes. RESULTS: Validat…

  • Methodological considerations in designing and implementing the harmonized diagnostic assessment of dementia for longitudinal aging study in India (Lasi-DAD)

    Joyita Banerjee, Urvashi Jain et al.•ARTICLE•Biodemography and Social Biology•2020•References: 34

    The Harmonized Diagnostic Assessment of Dementia for Longitudinal Aging Study in India (LASI-DAD) is a population-representative, prospective cohort study of late-life cognition and dementia. It is part of an ongoing international research collaboration that aims to measure and understand cognitive impairment and dementia risk by collecting a set of cognitive and neuropsychological assessments and informant reports, referred to as the Harmonized …

  • Cohort Profile

    Open Access•Joyita Banerjee, Sarah Petrosyan et al.•ARTICLE•BMC Public Health•2023

    The study group will analyse the data collected showing the real-time changes throughout the pandemic and will make the data widely available for researchers to conduct further studies

  • Trajectories and correlates of poor mental health in India over the course of the Covid-19 pandemic

    Open Access•Emma Nichols, Sarah Petrosyan et al.•ARTICLE•BMJ Global Health•2024

    INTRODUCTION: The COVID-19 pandemic had large impacts on mental health; however, most existing evidence is focused on the initial lockdown period and high-income contexts. By assessing trajectories of mental health symptoms in India over 2 years, we aim to understand the effect of later time periods and pandemic characteristics on mental health in a lower-middle income context. METHODS: We used data from the Real-Time Insights of COVID-19 in Indi…

  • Prevalence and causes of anemia among older adults in India

    Open Access•Anushikha Dhankhar, Pranali Khobragade et al.•ARTICLE•International Journal for Equity…•2025

    Anemia among older adults aged ≥ 60 years is a well-described risk factor that increases the risk of falls, cardiovascular diseases, and mortality. In India, objectively measured national estimates of anemia prevalence and the causes of anemia among older adults are lacking. The Harmonized Diagnostic Assessment of Dementia for the Longitudinal Aging Study in India (LASI-DAD) collected venous blood samples from a nationally representative sample o…

  • Methodological considerations of diet assessment of the older Indian population in the longitudinal aging study in India—Harmonised Diagnostic Assessment of Dementia (Lasi-DAD)

    Open Access•Joyita Banerjee, Alka Mohan Chutani et al.•ARTICLE•BMC Public Health•2025

    The LASI-DAD FFQ proved to be a good tool for dietary data collection from a diverse, older Indian population. It is a single, comprehensive questionnaire adapted to the diverse dietary habits of older Indian population factoring in socio-economic, geographic, cultural, religious and seasonal variations, and it will help explore potential associations between diet and late-life cognition in older Indians

Medicine (4 works) · Dementia (3 works) · Dementia and Cognitive Impairment Research (3 works) · Disease (3 works) · Environmental health (3 works) · Population (3 works) · Public health (3 works) · Biostatistics (2 works) · COVID-19 and Mental Health (2 works) · Demography (2 works)

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