AI Article Synopsis

  • Cognitive screening for dementia in sub-Saharan Africa is challenging due to cultural and educational differences, making existing normative values often unsuitable.
  • The study focuses on establishing new normative values for the IDEA cognitive screen and other measures among older adults in Tanzania and Nigeria, considering factors like age, gender, and education levels.
  • Results show that older age, lower education, and female gender are linked to lower cognitive scores, indicating a need for adjusted cut-off values for dementia screening tools to reflect local contexts and education levels.

Article Abstract

Unlabelled: In sub-Saharan Africa (SSA),cognitive screening is complicated by both cultural and educational factors, and the existing normative values may not be applicable. The Identification of Dementia in Elderly Africans (IDEA) cognitive screen is a low-literacy measure with good diagnostic accuracy for dementia.

Objective: The aim of this study is to report normative values for IDEA and other simple measures [i.e., categorical verbal fluency, the Consortium to Establish a Registry for Alzheimer's Disease (CERAD) 10-word list] in representative community-dwelling older adults in SSA.

Methods: Individuals aged ≥60 years resident in 12 representative villages in Kilimanjaro, Tanzania and individuals aged ≥65 years resident within three communities in Akinyele Local Government Area, Oyo State, Nigeria underwent cognitive screening. The normative data were generated by the categories of age, sex, and education.

Results: A total of 3,011 people in Tanzania (i.e., 57.3% females and 26.4% uneducated) and 1,117 in Nigeria (i.e., 60.3% females and 64.5% uneducated) were screened. Individuals with higher age, lower education, and female gender obtained lower scores. The 50th decile values for IDEA were 13 (60-64 years) . 8/9 (above 85 years), 10-11 uneducated vs. 13 primary educated, and 11/12 in females vs. 13 in males. The normative values for 10-word list delayed recall and categorical varied with education [i.e., mean 2.8 [standard deviation (SD) 1.7] uneducated vs. 4.2 (SD 1.2) secondary educated; verbal fluency mean 9.2 (SD 4.8) uneducated vs. 12.2 (SD 4.3) secondary educated], substantially lower than published high-income country values.

Conclusions: The cut-off values for commonly used cognitive screening items should be adjusted to suit local normative values, particularly where there are lower levels of education.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8485647PMC
http://dx.doi.org/10.1590/1980-57642021dn15-030005DOI Listing

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