Risk Factors Related to Mild Cognitive Impairment among Pre-Aging
Saichol Boonwisuttanon¹, Pattama Suphunnakul¹, Somporn Wangruangsathit²
Affiliation : ¹ Faculty of Public Health, Naresuan University, Phitsanulok, Thailand; ² Buddhachinaraj Phitsanulok Hospital, Phitsanulok, Thailand
Background: Mild cognitive impairment (MCI) is a condition that represents a transitional stage between normal brain function and dementia. Prevalence of MCI increases in aging. Understanding the risk factors related to MCI in pre-aging people is essential for guiding the allocation of health resources and the development of relevant strategies for prevention.
Objective: To investigate the risk factors related to MCI among pre-aging.
Materials and Methods: In cross-sectional research, the 340 samples were a population aged 50 to 59 years with both cognitive impairment and normal cognition in Phitsanulok Province, using the multi-stage sampling method for selection. Questionnaires collected data and analyzed using binary logistic regression with a statistical significance 0.05.
Results: The results showed five risk factors affected the occurrence of MCI in the pre-aging with type 2 diabetes mellitus having the highest risk (adjusted OR 90.45, 95% CI 14.225 to 57.517), followed by hypertension (adj. OR 56.73, 95% CI 15.765 to 204.175), family history of dementia (adj. OR 36.36, 95% CI 3.742 to 353.422), dyslipidemia (adj. OR 13.73, 95% CI 3.443 to 54.764), and body mass index over 25 (adj. OR 4.12, 95% CI 1.204 to 14.132), respectively. These five factors predicted the incidence of MCI at 91.2% with statistical significance level of 0.05.
Conclusion: Occurrence of mild dementia in the pre-aging is predicted based on these five risk factors, type 2 diabetes, high blood pressure, family history of dementia, dyslipidemia, and body mass index over 25.
Received 25 October 2023 | Revised 5 April 2024 | Accepted 11 April 2024
DOI: 10.35755/jmedassocthai.2024.6.13993
Keywords : Pre-aging; Logistic regression; Mild cognitive impairment; Predictive research; Risk factor
All Articles
Download