Evidence map›Paper›PMID 41111841›Full record

ArticleCureus2025

Prevalence of Cognitive Impairment and Its Associated Factors in a Rural Area of Ernakulam District, Kerala, India.

Vishaka Kiran Jeeje, Gayathri Vimal, Vasanth Bharathidasan, Venkateshan Nithya Veni, Varsha Sudarsanan, Trishaa V, Vinaya Maaniancherry Remesh, Tuhin Dey, Shreya Sreedharan, Aparna Ajay and 3 more

Abstract read
In one paragraph

Article in Cureus, 2025. 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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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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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

13 authors.

Vishaka Kiran JeejeCommunity Medicine, Amrita Institute of Medical Sciences and Research Centre, Kochi, IND.
Gayathri VimalCommunity Medicine, Amrita Institute of Medical Sciences and Research Centre, Kochi, IND.
Vasanth BharathidasanCommunity Medicine, Amrita Institute of Medical Sciences and Research Centre, Kochi, IND.
Venkateshan Nithya VeniCommunity Medicine, Amrita Institute of Medical Sciences and Research Centre, Kochi, IND.
Varsha SudarsananCommunity Medicine, Amrita Institute of Medical Sciences and Research Centre, Kochi, IND.
Trishaa VCommunity Medicine, Amrita Institute of Medical Sciences and Research Centre, Kochi, IND.
Vinaya Maaniancherry RemeshCommunity Medicine, Amrita Institute of Medical Sciences and Research Centre, Kochi, IND.
Tuhin DeyCommunity Medicine, Amrita Institute of Medical Sciences and Research Centre, Kochi, IND.
Shreya SreedharanCommunity Medicine, Amrita Institute of Medical Sciences and Research Centre, Kochi, IND.
Aparna AjayCommunity Medicine, Amrita Institute of Medical Sciences and Research Centre, Kochi, IND.
Akshaya RCommunity Medicine, Amrita Institute of Medical Sciences and Research Centre, Kochi, IND.
Aswathy SreedeviCommunity Medicine, Amrita Institute of Medical Sciences and Research Centre, Kochi, IND.
Brilly M RoseCommunity Medicine, Amrita Institute of Medical Sciences and Research Centre, Kochi, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction Cognitive impairment is a growing public health concern, particularly among older adults in rural settings. Various factors, including physical activity, comorbidities, and lifestyle behaviors, influence cognitive function. However, evidence on these associations in rural Indian populations remains limited. The objective of this study was to assess the prevalence of cognitive impairment among older adults in a rural region of the Ernakulam district, Kerala, India, and examine its association with sociodemographic and lifestyle factors. Methods A community-based cross-sectional study was conducted over two weeks in Njarakkal Grama Panchayat, Ernakulam, Kerala, India, involving 175 participants aged 60 years and above. After obtaining informed consent, data on sociodemographic variables, BMI, physical activity, marital status, and education were collected using a semi-structured questionnaire. Cognitive function was assessed using the Mini-Mental State Examination (MMSE®), and physical activity using the Global Physical Activity Questionnaire (GPAQ). Data were analyzed using Jamovi software (The Jamovi Project, Sydney, Australia). Associations were tested using chi-square or Fisher's exact tests, and a multivariable logistic regression model was applied to identify independent predictors of cognitive impairment. Results The prevalence of cognitive impairment was 27% (95%CI: 20.42%-33.58%). Never-married individuals had significantly higher odds of cognitive impairment compared to those who were ever married (adjusted OR (AOR) = 23.809, 95%CI: 1.445-392.218, p = 0.027). Individuals with only primary or middle school education had substantially higher odds of impairment (AOR = 30.525, 95%CI: 2.817-330.818, p = 0.005). Cognitive impairment was observed in 29.71%, 32.57%, and 37.71% of individuals with high, medium, and low physical activity levels, respectively; however, the association was not statistically significant. Conclusion This study highlights a considerable prevalence of cognitive impairment among older adults in rural Ernakulam and identifies significant associations with marital status and educational attainment. Although physical activity showed a graded trend with cognitive outcomes, the relationship was not statistically significant. These findings underscore the importance of addressing social and educational determinants in strategies aimed at preserving cognitive health among the elderly.

Indexed as

ageing populationcognitive impairementolder adultsphysical activitysociodemographic factors

Identifiers

PMID41111841
PMCPMC12534526

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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.