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

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

doi:10.4103/jfmpc.jfmpc_604_20

Cited by 9 publications

(3 citation statements)

References 21 publications

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“…This causes the added responsibility of adults, increases the risk of family conflict, and ultimately affects their mental health. 23 In this study, older people with a history of NCD have twice the risk of experiencing mental problems as the elderly without NCD. Mental health has an effect on physical health and conversely.…”

Section: Discussionmentioning

confidence: 78%

Mental Health Status and its Determinants Among Older People in Rural Area in the District of Banyumas Central java

Aji

Masfiah

Wijayanti

et al. 2023

JIKM

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Elderly people experience several health problems due to their vulnerability to many diseases, which may affect their mental health. This study aims to assess mental health status among older people and its determinants in rural areas. It is a cross-sectional study design and involves 412 respondents from 9 villages in the district of Banyumas, Central Java, Indonesia. The data was analyzed by using a logistic regression model. The findings showed that older people with a large number of family members were four times more likely to have a mental health problem than those with a small number. Older people with a history of chronic disease had a threefold greater risk of experiencing mental health problems than older people without chronic disease. Three times as many elderly people with middle economic status reported having mental health issues. Older people with lower education have fewer mental health problems compared to older people who graduated from higher education levels. Health check-up was discovered to influence mental health problems, with older people who did checkups even if irregularly having fewer mental health problems than older people who never did. The study concludes that family size, chronic disease history, economic condition, education, and health check-up are determinants of mental health problems in rural Indonesia.

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Section: Discussionmentioning

confidence: 78%

Mental Health Status and its Determinants Among Older People in Rural Area in the District of Banyumas Central java

Aji

Masfiah

Wijayanti

et al. 2023

JIKM

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“…26 Age is significantly associated with cognitive impairment is similar to study done in India. 27 This study concludes that ageing population should be given priority, screening is a basic tool to identify the cognitive problem and provides awareness about ageing within the public and policy maker.…”

Section: Discussionmentioning

confidence: 88%

Screening for cognitive impairment and dementia among elderly persons attending a tertiary hospital

Pandey,

Lama

2023

Nep. Med. Coll. J.

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Cognitive impairment is debilitating condition for elderly in their activities of daily living which can cause problem to self, others and society. Therefore, the researcher aims to screen the cognitive impairment among elderly population at Tertiary Hospital. Cross sectional, descriptive and exploratory design with Purposive sampling technique was used among elderly population at OPD of Tertiary hospital. Mini-mental status examination, activities of daily living, instrumental activities of daily living were used for screening cognitive impairment and dementia. The interview dates were set up for 15 days. Sampling procedure included quota of 20 cases per day and thus, the sample was 300 elderly. Total sample after four persons denied to participate was 296. The mean age of elderly respondents were 71.58 (±5.09). The study revealed that there was no cognitive impairment among 67.6%, mild cognitive impairment among 25.7% and moderate cognitive impairment among 6.8%. The activities of daily living in majority of respondents were 95.3% in full function and least 1% were in severe functional impairment. Instrumental activities of daily living indicated that three-fourths of the respondents 76.7% had high function, 16.2% needed assistance and 7.1% had low function. Age, living with status is significantly associated with cognitive impairment. Screening of cognitive impairment is necessary to identify the impairment among elderly which enhances the awareness of cognitive impairment.

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“…(2021). [ 15 16 18 ] On the contrary, Verma M et al . (2020) observed a significantly higher prevalence of geriatric CI among subjects with higher education status.…”

Section: Discussionmentioning

confidence: 99%

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

Kumar,

Vinay

et al. 2024

Journal of Family Medicine and Primary Care

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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.

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

Cited by 9 publications

References 21 publications

Mental Health Status and its Determinants Among Older People in Rural Area in the District of Banyumas Central java

Mental Health Status and its Determinants Among Older People in Rural Area in the District of Banyumas Central java

Screening for cognitive impairment and dementia among elderly persons attending a tertiary hospital

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

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