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Predictors of poor cognitive status among older Malaysian adults: baseline findings from the LRGS TUA cohort study

Vanoh D 1 , Shahar S 2 , Din NC 3 , Omar A 4 , Vyrn CA 5 , Razali R 6 Show all authors , Ibrahim R 7 , Hamid TA 7

Affiliations 

  • 1 Dietetic Programme, School of Healthcare Sciences, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, 50300, Kuala Lumpur, Malaysia
  • 2 Dietetic Programme, School of Healthcare Sciences, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, 50300, Kuala Lumpur, Malaysia. [email protected]
  • 3 Health Psychology Programme, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, 50300, Kuala Lumpur, Malaysia
  • 4 Institute of Public Health, Ministry of Health, Jalan Bangsar, Federal Hill, 59000, Kuala Lumpur, Malaysia
  • 5 Ageing and Age-Associated Disorders Research Group, Division of Geriatric Medicine, Faculty of Medicine, University of Malaya, 50603, Kuala Lumpur, Malaysia
  • 6 Department of Psychiatry, Faculty of Medicine, Universiti Kebangsaan Malaysia, Cheras, 56000, Kuala Lumpur, Malaysia
  • 7 Malaysian Research Institute on Ageing, Universiti Putra Malaysia, 43300, Serdang, Selangor, Malaysia
Aging Clin Exp Res, 2017 Apr;29(2):173-182.
PMID: 26980453 DOI: 10.1007/s40520-016-0553-2

Abstract

BACKGROUND: Concepts of successful aging (SA), usual aging (UA), and mild cognitive impairment (MCI) have been developed to identify older adults at high risk of Alzheimer's diseases (AD), however, the predictors have rarely been investigated in a single study. Thus, this study aims to explore the risk factors of MCI as compared to UA and SA among older adults, in a large community based cohort study in Malaysia.
METHOD: 1993 subjects from four states in Malaysia were recruited. A comprehensive interview-based questionnaire was administered to determine socio-demographic information, followed by assessments to evaluate cognitive function, functional status, dietary intake, lifestyle and psychosocial status. Risk factors of cognitive impairment were assessed using the ordinal logistic regression (OLR).
RESULT: The prevalence of SA, UA and MCI in this study was 11, 73 and 16 % respectively. OLR indicated that higher fasting blood sugar, hyperlipidemia, disability, lower education level, not regularly involved in technical based activities, limited use of modern technologies, lower intake of fruits and fresh fruit juices and not practicing calorie restriction were among the risk factors of poor cognitive performance in this study.
CONCLUSION: This study will be a stepping stone for future researchers to develop intervention strategies to prevent cognitive decline.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.

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