Sharmistha Dey
Biographic Data
| ID | 3811372 |
|---|---|
| NAME | Sharmistha Dey |
| GIVEN NAMES | Sharmistha |
| FAMILY NAME | Dey |
| SIGNATURE | DEY S |
| AFFILIATIONS | All India Institute of Medical Sciences |
| ORCID | 0000-0003-4122-7415 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Prevalence and causes of anemia among older adults in India
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)
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
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
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
Analysis of patient health condition based on hybrid machine learning algorithm
In data mining, the classification methods are used to determine the relationships between the various objects of the interactions database. In this research, the objective is predominantly focused on the prediction of three types of functioning test level. The main purpose of the research work is to analyze human health condition, realised by fluctuation of specific ranges such as Bilirubin, Albumin, Prothrombin time (INR), Ascites, Encephalopat…
Methodological considerations in designing and implementing the harmonized diagnostic assessment of dementia for longitudinal aging study in India (Lasi-DAD)
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 …
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Methodological considerations in designing and implementing the harmonized diagnostic assessment of dementia for longitudinal aging study in India (Lasi-DAD)
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 …
Analysis of patient health condition based on hybrid machine learning algorithm
In data mining, the classification methods are used to determine the relationships between the various objects of the interactions database. In this research, the objective is predominantly focused on the prediction of three types of functioning test level. The main purpose of the research work is to analyze human health condition, realised by fluctuation of specific ranges such as Bilirubin, Albumin, Prothrombin time (INR), Ascites, Encephalopat…
Cohort Profile
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
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
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)
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) · Public health (3 works) · Biostatistics (2 works) · Computer Science (2 works) · COVID-19 and Mental Health (2 works) · Data mining (2 works) · Environmental health (2 works)