Evidence map›Paper›PMID 38333338›Full record

ArticleIranian journal of nursing and midwifery research

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

Abdullah Alkhawaldeh, Mahmoud Alsaraireh, Mohammed ALBashtawy, Ahmad Rayan, Moawiah Khatatbeh, Mohammad Alshloul, Ma'en Aljezawi, Sa'd ALBashtawy, Ahmad Musa, Asem Abdalrahim and 4 more

Abstract read
In one paragraph

Article in Iranian journal of nursing and midwifery research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Abdullah AlkhawaldehDepartment of Community and Mental Health Nursing, Princess Salma Faculty of Nursing, Al Al-Bayt University, Mafraq, Jordan.
Mahmoud AlsarairehDepartment of Nursing, Princess Aisha Bint Al Hussein College of Nursing and Health Sciences, Al-Hussain Bin Talal University, Ma'an, Jordan.
Mohammed ALBashtawyDepartment of Community and Mental Health Nursing, Princess Salma Faculty of Nursing, Al Al-Bayt University, Mafraq, Jordan.
Ahmad RayanDepartment of Nursing, Faculty of Nursing, Zarqa University, Zarqa, Jordan.
Moawiah KhatatbehAl-Balqa Applied University, Prince Al Hussein Bin Abdullah II Academy for Civil Protection, Amman, Jordan.
Mohammad AlshloulDepartment of Nursing, Ministry of Health, Irbid, Jordan.
Ma'en AljezawiDepartment of Community and Mental Health Nursing, Princess Salma Faculty of Nursing, Al Al-Bayt University, Mafraq, Jordan.
Sa'd ALBashtawyDepartment of Nursing, Princess Salma Faculty of Nursing, Al Al-Bayt University, Mafraq, Jordan.
Ahmad MusaFaculty of Nursing, Al-Ahliyya Amman University, Amman, Jordan.
Asem AbdalrahimDepartment of Community and Mental Health Nursing, Princess Salma Faculty of Nursing, Al Al-Bayt University, Mafraq, Jordan.
Omar KhraisatFaculty of Health Sciences, Higher College of Technology, Abu Dhabi, United Arab Emirates.
Ahmad Al-BashairehDepartment of Public Health, Faculty of Medicine, Yarmouk University, Irbid, Jordan.
Zaid ALBashtawyAl-Balqa Applied University, Prince Al Hussein Bin Abdullah II Academy for Civil Protection, Amman, Jordan.
Nisser AlhroubDepartment of Nursing, Faculty of Nursing, Jerash University, Jerash, Jordan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: 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. Materials and Methods: 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 ( Results: 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), Conclusions: While many factors were correlated with cognitive impairment, the strongest predictors of cognitive impairment were age and stroke.

Indexed as

Agedcognition disorderscross-sectional studies

Identifiers

PMID38333338
PMCPMC10849287

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.