Assessment of Cognitive Impairment and Related Factors Among Elderly People in Jordan

• Published in: Iranian journal of nursing and midwifery research Vol. 29; no. 1; pp. 120 - 124
• Main Authors: Alkhawaldeh, Abdullah, Alsaraireh, Mahmoud, ALBashtawy, Mohammed, Rayan, Ahmad, Khatatbeh, Moawiah, Alshloul, Mohammad, Aljezawi, Ma'en, ALBashtawy, Sa'd, Musa, Ahmad, Abdalrahim, Asem, Khraisat, Omar, Al-Bashaireh, Ahmad, ALBashtawy, Zaid, Alhroub, Nisser
• Format: Journal Article
• Language: English
• Published: India Medknow Publications and Media Pvt. Ltd 01.01.2024; Medknow Publications & Media Pvt. Ltd; Wolters Kluwer - Medknow; Wolters Kluwer Medknow Publications
• Subjects: aged; cognition disorders; Cognitive ability; cross-sectional studies; Dementia; Health risks; Hypertension; Mental disorders; Older people; Original; Stroke; Surveys; Type 2 diabetes; China; India; Jordan (country); Aged; cross-sectional studies; cognition disorders
• ISSN: 1735-9066; 2228-5504
• DOI: 10.4103/ijnmr.ijnmr_169_22

With an increase in elderly people, it is essential to address the issue of cognitive impairment and support healthy aging. This study aimed to assess cognitive impairment and factors associated with it among older adults. A cross-sectional study was carried out in different catchment areas within the Jerash governorate in the north of Jordan. The Elderly Cognitive Assessment Questionnaire (ECAQ) and a household face-to-face interview were used to collect data from 220 older adult participants aged 60 years and more. Descriptive statistics were conducted to describe the study variables. Correlation tests were applied to find associations between them. Logistic regression analysis was applied, with a minimum significance level ( < 0.05). About 9.10% of the older adults had cognitive impairment. Cognitive impairment was correlated with age, self-perceived health, hypertension, stroke, and mental illness. The primary predictors of cognitive impairment were age [odds ratio (OR) =1.07 (1.01-1.14), = 0.001] and stroke [OR = 10.92 1.44-82.85), = 0.001]. While many factors were correlated with cognitive impairment, the strongest predictors of cognitive impairment were age and stroke.