Evidence map›Paper›PMID 33209770›Full record

ArticleJournal of family medicine and primary care2020

Cognitive impairment and its predictors: A cross-sectional study among the elderly in a rural community of West Bengal.

Aparajita Dasgupta, Sauryadripta Ghose, Bobby Paul, Lina Bandyopadhyay, Pritam Ghosh, Akanksha Yadav

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Article in Journal of family medicine and primary care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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5citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Aparajita DasguptaDepartment of Preventive and Social Medicine, All India Institute of Hygiene and Public Health, Kolkata, West Bengal, India.
Sauryadripta GhoseDepartment of Preventive and Social Medicine, All India Institute of Hygiene and Public Health, Kolkata, West Bengal, India.
Bobby PaulDepartment of Preventive and Social Medicine, All India Institute of Hygiene and Public Health, Kolkata, West Bengal, India.
Lina BandyopadhyayDepartment of Preventive and Social Medicine, All India Institute of Hygiene and Public Health, Kolkata, West Bengal, India.
Pritam GhoshDepartment of Preventive and Social Medicine, All India Institute of Hygiene and Public Health, Kolkata, West Bengal, India.
Akanksha YadavDepartment of Preventive and Social Medicine, All India Institute of Hygiene and Public Health, Kolkata, West Bengal, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextWith the aging of Indian society, maintaining salubrious cognitive health in late life is a public health priority. Early detection and possible prevention of cognitive impairment (CI), thus, will help in increasing the quality of life of elderly people and decreasing the social, psychological, and economic burden of their families and caregivers.

aimsThe study aimed to assess proportion of CI and its predictors. SETTINGS AND

designThis community-based cross-sectional study was conducted among 135 elderly people selected from 15 villages out of a total 64 villages in rural field practice area Singur of AIIH&PH, Kolkata. METHODS AND MATERIAL: Cluster sampling technique was used and villages were selected according to probability proportional to size method. Data was collected using a predesigned, pretested structured schedule, which included sociodemographic and behavioral variables, Montreal cognitive assessment tool, Geriatric depression scale short form (GDS 15), and mini nutritional assessment tool. STATISTICAL ANALYSIS USED: Predictors of CI were assessed by univariate and multivariable logistic regression using MS-Excel 2016 and SPSS version 16 software.

resultsMean age of the study participants was 67.03 ± 6.7 years with 51.9% of them being females. Proportion of CI was observed to be 48.1% which was significantly associated with increasing age [AOR = 1.1 (1.02-1.13)], decreasing years of schooling [AOR = 1.1 (1.01-1.2)], depression [AOR = 2.7 (1.3-5.8)], and malnourished group [AOR = 4.5 (1.01-20.3)].

conclusionThe burden of CI among the study population was found to be quite high. It is an alarming situation which needs improved screening facility for early detection. Nutritional upliftment and screening for depression should also be done on a regular basis.

Indexed as

Cognitive impairmentelderlyMontreal cognitive assessment (MoCA) tool

Identifiers

PMID33209770
PMCPMC7652164

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