Evidence map›Paper›PMID 39247876›Full record

ArticleJournal of Alzheimer's disease reports2024

Comparative Study of Risk Factors Associated with Normal Cognition and Cognitive Impairment in Rural West Elderly Texans.

Hafiz Khan, Fardous Farhana, Fahad Mostafa, Aamrin Rafiq, Effat Walia Nizia, Refaya Razzaq, Rumana Atique, Megan Dauenhauer, Zawah Zabin, Komaraiah Palle and 1 more

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In one paragraph

Article in Journal of Alzheimer's disease reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Hafiz KhanDepartment of Public Health, Julia Jones Matthews School of Population and Public Health, Texas Tech University Health Sciences Center, Lubbock, TX, USA.
Fardous FarhanaNutritional Sciences Department, Texas Tech University, Lubbock, TX, USA.
Fahad MostafaDepartment of Mathematics and Statistics, Texas Tech University, Lubbock, TX, USA.
Aamrin RafiqDepartment of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock, TX, USA.
Effat Walia NiziaMonroe College, King Graduate School, New Rochelle, NY, USA.
Refaya RazzaqDepartment of Public Health, Julia Jones Matthews School of Population and Public Health, Texas Tech University Health Sciences Center, Lubbock, TX, USA.
Rumana AtiqueDepartment of Public Health, Julia Jones Matthews School of Population and Public Health, Texas Tech University Health Sciences Center, Lubbock, TX, USA.
Megan DauenhauerDepartment of Public Health, Julia Jones Matthews School of Population and Public Health, Texas Tech University Health Sciences Center, Lubbock, TX, USA.
Zawah ZabinDepartment of Public Health, Julia Jones Matthews School of Population and Public Health, Texas Tech University Health Sciences Center, Lubbock, TX, USA.
Komaraiah PalleDepartment of Cell Biology & Biochemistry, Texas Tech University Health Sciences Center, Lubbock, TX, USA.
P Hemachandra ReddyDepartment of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock, TX, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Alzheimer's disease (AD) is related to one or more chronic illnesses, which may develop cognitive decline and dementia. Cognitive impairment is increasing, and public health officials must address risk factors for AD to improve the health of rural West Texas communities. Objective: The purpose of this study was to explore the sociodemographic and chronic disease risk factors related to cognitive impairment among elderly adults living in Cochran, Parmer, and Bailey counties in rural West Texas. Methods: Statistical methods such as Pearson's chi-squared, proportion tests, univariate binary logistic regression, and a multivariable logistic regression were utilized to analyze data. SPSS software was used to detect the significant relationship between cognitive impairment and risk factors. Results: Summary statistics were obtained for sociodemographic and chronic diseases by using cross-tabulation analysis and comparing the county respondents with proportion tests. A univariate binary logistic regression method was utilized and found that age group 60-69, anxiety, depression, diabetes, hypertension, and cardiovascular disease were significantly associated with cognitive impairment. Using a multivariable logistic regression approach, it was found that Bailey County (age group 60-69) had a higher likelihood ( Conclusions: Identifying significant risk factors for cognitive impairment are important in addressing issues of geographic variations and integrating such factors may guide relevant policy interventions to reduce cognitive impairment incidence in rural communities within West Texas.

Indexed as

Alzheimer’s diseasechronic diseasescognitive impairmentFRONTIER databaserisk factorsrural West Texassociodemographic variables

Identifiers

PMID39247876
PMCPMC11380276

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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.