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Assessment of Age-related Changes in Cognitive Functions Using EmoCogMeter, a Novel Tablet-computer Based Approach
Published on: February 14, 2014
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Cognitive Function in Urban and Rural Postmenopausal Women
Al Asmaul Husna1, Munmun Mustafa2, Ely Prue3
1Department of Community Medicine, Pabna Medical College, Pabna, BGD.
Cureus
|May 21, 2024
Summary
Rural postmenopausal women exhibit higher rates of cognitive decline compared to their urban counterparts. Factors like income and education significantly impact cognitive health in this demographic.
Area of Science:
- Gerontology
- Cognitive Neuroscience
- Public Health
Background:
- Menopause is a known risk factor for cognitive decline in women.
- The number of postmenopausal women is rising globally, yet research on their cognitive function remains limited.
- This study addresses the scarcity of data by comparing cognitive function in urban versus rural postmenopausal women.
Purpose of the Study:
- To compare the cognitive function between postmenopausal women residing in urban and rural settings.
- To investigate the association between cognitive function and various socio-demographic factors in postmenopausal women.
Main Methods:
- A comparative cross-sectional study involving 87 urban and 87 rural postmenopausal women.
- Data collection utilized a semi-structured questionnaire with the Bengali version of the Mini-Mental State Examination (MMSE) scale.
- Face-to-face interviews and record reviewing were employed, with statistical analysis performed using SPSS version 24.
Main Results:
- Rural women were older on average (60.00 years) than urban women (58.09 years).
- A significantly higher proportion of rural women were illiterate (66.7%) compared to urban women (35.6%).
- Abnormal cognitive function was more prevalent in rural postmenopausal women (60.9%) than in urban women (35.6%).
Conclusions:
- Rural postmenopausal women demonstrate a higher prevalence of abnormal cognitive function.
- Cognitive function is significantly associated with monthly family income, housing conditions, family structure, age at marriage, lifestyle, and comorbidities.
- Findings can inform policy development to enhance cognitive health among postmenopausal women.
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