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Predictors for the development of motoric cognitive risk syndrome in older adults.
Rivan, Nurul Fatin Malek; Ludin, Arimi Fitri Mat; Clark, Brian C; Shahar, Suzana.
Afiliación
  • Rivan NFM; Nutritional Sciences Programme and Centre for Healthy Ageing and Wellness (H-CARE), Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia.
  • Ludin AFM; Biomedical Science Programme and Centre for Healthy Ageing and Wellness (H-CARE), Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, Kuala Lumpur, 50300, Malaysia. arimifitri@ukm.edu.my.
  • Clark BC; Ohio Musculoskeletal and Neurological Institute (OMNI) and Department of Biomedical Sciences, Ohio University, Athens, OH, USA.
  • Shahar S; Dietetics Programme and Centre for Healthy Ageing and Wellness (H-CARE), Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia.
BMC Geriatr ; 24(1): 575, 2024 Jul 03.
Article en En | MEDLINE | ID: mdl-38961342
ABSTRACT

BACKGROUND:

Motoric cognitive risk (MCR) syndrome refers to a condition where both slow gait and memory complaints coexist, which heightens their vulnerability to developing dementia. Considering that the risk factors of MCR are elucidated from cross-sectional studies and also likely vary based on socioeconomic status, we conducted a community-based longitudinal study to determine the predictors of MCR among older adults in Malaysia.

METHODS:

Out of 1,249 older participants (aged 60 years and above) without MCR at baseline (Wave II of LRGS-TUA cohort study), 719 were successfully followed up after 3.5 years to identify predictors of subsequent MCR development. A comprehensive interview-based questionnaire was administered for sociodemographic information, cognitive function, psychosocial, functional status, and dietary intake. Anthropometric measurements, body composition, and physical performance were assessed. Univariate analyses were performed for each variable, followed by a hierarchical logistic regression analysis to identify the predictors of MCR that accounted for confounding effects between the studied factors.

RESULTS:

The incidence rate of MCR was 4.0 per 100 person-years. Smoking (Adjusted Odd Ratio (Adj OR) = 1.782; 95% Confidence Interval (CI)1.050-3.024), hypertension (Adj OR = 1.725; 95% CI1.094-2.721), decreased verbal memory as assessed by the lower Rey Auditory Verbal Learning Test (RAVLT) (Adj OR = 1.891; 95% CI1.103-3.243), and decreased functional status measured using instrumental activity of daily living (IADL) (Adj OR = 4.710; 95% CI1.319-16.823), were predictors for MCR incidence.

CONCLUSIONS:

Our study results provide an initial reference for future studies to formulate effective preventive management and intervention strategies to reduce the growing burden of adverse health outcomes, particularly among Asian older adults.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Disfunción Cognitiva Límite: Aged / Aged80 / Female / Humans / Male / Middle aged País/Región como asunto: Asia Idioma: En Revista: BMC Geriatr Asunto de la revista: GERIATRIA Año: 2024 Tipo del documento: Article País de afiliación: Malasia

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Disfunción Cognitiva Límite: Aged / Aged80 / Female / Humans / Male / Middle aged País/Región como asunto: Asia Idioma: En Revista: BMC Geriatr Asunto de la revista: GERIATRIA Año: 2024 Tipo del documento: Article País de afiliación: Malasia