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Cardiovascular risk factors among older persons with cognitive frailty in middle income country.
Ibrahim, Azianah Mohamad; Singh, Devinder Kaur Ajit; Ludin, Arimi Fitri Mat; Sakian, Noor Ibrahim Mohamed; Rivan, Nurul Fatin Malek; Shahar, Suzana.
Afiliación
  • Ibrahim AM; Centre for Healthy Ageing and Wellness, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Wilayah Persekutuan Kuala Lumpur 50300, Malaysia.
  • Singh DKA; Centre for Healthy Ageing and Wellness, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Wilayah Persekutuan Kuala Lumpur 50300, Malaysia.
  • Ludin AFM; Centre for Healthy Ageing and Wellness, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Wilayah Persekutuan Kuala Lumpur 50300, Malaysia.
  • Sakian NIM; Basic Medical Sciences, University of Cyberjaya, Selangor Darul Ehsan, Malaysia 63000, Malaysia.
  • Rivan NFM; Centre for Healthy Ageing and Wellness, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Wilayah Persekutuan Kuala Lumpur 50300, Malaysia.
  • Shahar S; Centre for Healthy Ageing and Wellness, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Wilayah Persekutuan Kuala Lumpur 50300, Malaysia. suzana.shahar@ukm.edu.my.
World J Clin Cases ; 12(17): 3076-3085, 2024 Jun 16.
Article en En | MEDLINE | ID: mdl-38898873
ABSTRACT

BACKGROUND:

Cognitive frailty, characterized by the coexistence of cognitive impairment and physical frailty, represents a multifaceted challenge in the aging population. The role of cardiovascular risk factors in this complex interplay is not yet fully understood.

AIM:

To investigate the relationships between cardiovascular risk factors and older persons with cognitive frailty by pooling data from two cohorts of studies in Malaysia.

METHODS:

A comprehensive approach was employed, with a total of 512 community-dwelling older persons aged 60 years and above, involving two cohorts of older persons from previous studies. Datasets related to cardiovascular risks, namely sociodemographic factors, and cardiovascular risk factors, including hypertension, diabetes, hypercholesterolemia, anthropometric characteristics and biochemical profiles, were pooled for analysis. Cognitive frailty was defined based on the Clinical Dementia Rating scale and Fried frailty score. Cardiovascular risk was determined using Framingham risk score. Statistical analyses were conducted using SPSS version 21.

RESULTS:

Of the study participants, 46.3% exhibited cognitive frailty. Cardiovascular risk factors including hypertension (OR1.60; 95%CI 1.12-2.30), low fat-free mass (OR0.96; 95%CI 0.94-0.98), high percentage body fat (OR1.04; 95%CI 1.02-1.06), high waist circumference (OR1.02; 95%CI 1.01-1.04), high fasting blood glucose (OR1.64; 95%CI 1.11-2.43), high Framingham risk score (OR1.65; 95%CI 1.17-2.31), together with sociodemographic factors, i.e., being single (OR 3.38; 95%CI 2.26-5.05) and low household income (OR 2.18; 95%CI 1.44-3.30) were found to be associated with cognitive frailty.

CONCLUSION:

Cardiovascular-risk specific risk factors and sociodemographic factors were associated with risk of cognitive frailty, a prodromal stage of dementia. Early identification and management of cardiovascular risk factors, particularly among specific group of the population might mitigate the risk of cognitive frailty, hence preventing dementia.
Palabras clave

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: World J Clin Cases Año: 2024 Tipo del documento: Article País de afiliación: Malasia

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: World J Clin Cases Año: 2024 Tipo del documento: Article País de afiliación: Malasia