Analyzing the chance of developing dementia among geriatric people: a cross‐sectional pilot study in Bangladesh is a research paper published in Psychogeriatrics (2019). On theSindex it has a DataRank of 1.2. It has been cited 48 times, with 21 citing works in its 1-hop citation network.
AimAlzheimer's disease is the most common form of dementia, representing 60–80% of cases, and ageing is the primary risk factor for the development of Alzheimer's disease. The objective of this study was to examine the chance of developing dementia (i.e. mild cognitive impairment (MCI), Alzheimer's disease) among geriatric people in Bangladesh.MethodsThis study included 390 adult citizens of Bangladesh (age range: 60–70 years). The Takeda Three Colors Combination (TTCC) test was used to detect the prevalence of MCI and mild dementia among the subjects, and then the Clinical Dementia Rating was used to determine the level of dementia.ResultsThe subjects who were aged 60–65 years included 154 with MCI, 76 with mild dementia, 1 with moderate dementia, 4 with severe dementia, and 29 without dementia. The subjects who were aged 66–70 years included 75 with MCI, 36 with mild dementia, 0 with moderate dementia, 2 with severe dementia, and 13 without dementia. The sensitivity of the TTCC was 75% and 58% for the mild dementia and MCI groups, respectively, and the specificity was 52%. The odds ratio of incorrect responses to the TTCC was 3.42 (95% confidence interval: 1.63–7.21) for subjects with mild dementia compared those without dementia. However, the TTCC outcomes revealed no significant differences between the MCI and non‐dementia groups. The results showed no significant associations between cognitive decline/developing dementia and social status/occupation.ConclusionThe outcomes of this study indicated that most of the subjects had MCI or mild dementia and were farmers aged 60–65 years.
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Base Score Contribution
0.584
From this paper's citation signal
Citation Network Contribution
0.580
From 16 citing papers with measurable signal
DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 50% comes from its base citations and 50% from the citation network (16 citing papers contributed measurable signal).
Citers are pulled from OpenAlex sorted by cited_by_count:descand capped per paper, so when the cap binds we keep the highest-signal references and the score is reproducible across reruns.
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