Cognitive impairment and associated factors in the elderly at Pracha Niwet Village in Thailand

Authors

  • Chotiman Chinvararak Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
  • Natsara Dumrongpiwat Panyananthaphikkhu Chonprathan Medical Center, Srinakharinwirot University, Nonthaburi, Thailand
  • Puangsoi Worakul Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
  • Sookjaroen Tangwongchai Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand

Keywords:

Cognitive impairment, risk factors, elderly, Thailand

Abstract

Background: Thailand has already become an aging society. Previous studies showed that cognitive impairment is one of the most common problems in the elderly. The prevalence of major neurocognitive disorder globally is between 5 - 7%. Currently, there are still limited data of cognitive impairment in Thailand.

Objectives: To determine the prevalence of cognitive impairment and to explore factors associated with it.

Methods: A descriptive study was conducted in the elderly aged above 60 years at Pracha Niwet Village from September to October 2017. The research instruments consisted of four questionnaires: 1) the demographic data form, 2) the mini – mental state examination: Thai version (MMSE – Thai 2002), 3) the Thai geriatric depression scale (TGDS), and 4) the Thai version of the Pittsburgh sleep quality index (T-PSQI). The prevalence of cognitive impairment was presented by frequency and percentage. The associated factors of cognitive impairment were analyzed by chi-square test, Fisher’s exact test, and Pearson’s correlation coefficient. The predictors of cognitive impairment were analyzed by logistic regression analysis.

Results: Among 254 participants with the mean age of 77.1 gif.latex?\pm 7.3 years old; 66.5% of them were female. The prevalence of cognitive impairment was 7.5% and the mean MMSE – Thai 2002 score was 25.8 gif.latex?\pm 3.6. The associated factors of cognitive impairment were hyperlipidemia (P < 0.01) and cardiovascular diseases (P < 0.05). Age, income, sleep duration, and TGDS scores were correlated with MMSE – Thai 2002 scores (r = -0.435, 0.271, - 0.682, and -0.213, respectively). The predictors for cognitive impairment were hyperlipidemia and cardiovascular diseases (P < 0.05).

Conclusion: The prevalence of cognitive impairment was 7.5%. The associated factors and predictors of cognitive impairment were hyperlipidemia and cardiovascular diseases.

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Published

2023-08-15

How to Cite

1.
Chinvararak C, Dumrongpiwat N, Worakul P, Tangwongchai S. Cognitive impairment and associated factors in the elderly at Pracha Niwet Village in Thailand. Chula Med J [Internet]. 2023 Aug. 15 [cited 2024 May 20];63(2). Available from: https://he05.tci-thaijo.org/index.php/CMJ/article/view/278