Evidence map›Paper›PMID 39027874›Full record

ArticleJournal of family medicine and primary care2024

Prevalence and correlates of cognitive impairment among an urban geriatric population of Haryana.

Neelam Kumar, Mukesh Kumar, Vinay, Arup Saha, Manjeet Rathee, Jyotsana, Tarun Singh

Abstract read
In one paragraph

Article in Journal of family medicine and primary care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Neelam KumarDepartment of Community Medicine, Pandit Bhagwat Dayal Sharma Post Graduate Institute of Medical Sciences (PGIMS), Rohtak, Haryana, India.
Mukesh KumarDepartment of Health and Family Welfare, Medical Officer, Haryana Civil Medical Services, Haryana, India.
VinayDepartment of Community Medicine, Pandit Bhagwat Dayal Sharma Post Graduate Institute of Medical Sciences (PGIMS), Rohtak, Haryana, India.
Arup SahaDepartment of Community Medicine, Pandit Bhagwat Dayal Sharma Post Graduate Institute of Medical Sciences (PGIMS), Rohtak, Haryana, India.
Manjeet RatheeDepartment of Community Medicine, Pandit Bhagwat Dayal Sharma Post Graduate Institute of Medical Sciences (PGIMS), Rohtak, Haryana, India.
JyotsanaDepartment of Community Medicine, Pandit Bhagwat Dayal Sharma Post Graduate Institute of Medical Sciences (PGIMS), Rohtak, Haryana, India.
Tarun SinghDepartment of Health and Family Welfare, Medical Officer, Haryana Civil Medical Services, Haryana, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Severe Cognitive Impairment (CI) is a major cause of disability and dependency among the elderly worldwide, and it has a significant impact not only on individuals but also on families, communities, and societies. Early identification and management of CI are critical in geriatric medicine. Prevalence data is often scarce, and this hinders the ground-level implementation of preventive health programs. Objectives: The objective was to find the prevalence of CI and its covariates among the urban geriatric population of Haryana. Materials and Methods: This was a community-based cross-sectional study conducted among 300 geriatric participants residing in an urban area of Rohtak district, Haryana. Hindi Mental State Examination (HMSE) tool was used to assess CI. Data were analyzed using IBM Corp, released 2020, IBM SPSS statistics for windows Ver 20, Armonk, NY. Results: The prevalence of geriatric CI was found to be 27.3% and was found to be significantly associated with age, female gender, scheduled and backward caste (BC), widowhood, and low educational status and is not engaged in any occupation, low socioeconomic status, teetotalism, economic dependency, physical dependency on others, and chronic morbidity. Conclusion: Age, female gender, scheduled and backward caste, widowhood, low educational status, nil employment status, low socioeconomic status, teetotalism, economic dependency, physical dependency on others, and chronic morbidity were found to be important correlates of CI. Further analytical studies can focus on these aspects for an early targeted preventive approach.

Indexed as

Cognitive dysfunction cognitive impairmentgeriatric assessmentgeroscienceneurological impairment

Identifiers

PMID39027874
PMCPMC11254047

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.