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Updated: May 22, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Factors Associated with Cognitive Impairment among Adults of 55 Years and Older in Cameroon
Nadine Simo-Tabue1,2, Mélanie Annick Magnerou3, Ludwig Mounsamy4
1CHU de Martinique, Fort-de-France, France.
Introduction:
Cognitive impairment is a major cause of dependency in older people. The aim of this study was to identify factors associated with severe cognitive decline, as assessed by the mini-mental state examination (MMSE), in community-dwelling adults aged 55+ in Cameroon.
Method:
Data are from a cross-sectional survey carried out in Cameroon. The cognitive status was assessed using the MMSE and a score of 18/30 or lower is considered as a proxy of severe cognitive decline.
Result:
A total of 403 adults participated in the study. Of these, 16 (3.9%) had an MMSE score <18 and were considered to have cognitive impairment. The rate of severe cognitive decline increased with rising age, from 2.1% in those aged 55-64 years, to 3.3% in those aged 65-74, and 11% in those aged 75 and older. The factors associated with cognitive impairment (MMSE score <18) by multivariate analysis in our population are level of education (OR 0.10 [95% CI: 0.02-0.37], p < 0.01), body mass index (BMI) (OR 0.88 [95% CI: 0.78-0.99], p = 0.03), and IADL score (OR 0.12 [95% CI: 0.03-0.38], p < 0.001).
Conclusion:
The three main factors associated with cognitive impairment were education, IADL (Instrumental Activity of Daily Living) dependency, and BMI. This study shows that among older people in sub-Saharan Africa, the effect of BMI, IADL dependency, and education on cognitive function appears similar to that observed in middle- and high-income countries.
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