Evidence mapPaperPMID 40855280Full record

ArticleBMC public health2025

Prevalence and associated factors of prediabetes among primary health care attendees in the West bank of Palestine: a cross-sectional study.

Lubna Saudi, Liana Yaseen, Fatima Hamadneh, Mai Abed, Zaher Nazzal

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Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing 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.

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Lubna SaudiDepartment of Medicine, Faculty of Medicine and Health Sciences, An-Najah National University, Nablus, Palestine. lubna_saudi@najah.edu.
Liana YaseenDepartment of Medicine, Faculty of Medicine and Health Sciences, An-Najah National University, Nablus, Palestine.
Fatima HamadnehDepartment of Medicine, Faculty of Medicine and Health Sciences, An-Najah National University, Nablus, Palestine.
Mai AbedDepartment of Medicine, Faculty of Medicine and Health Sciences, An-Najah National University, Nablus, Palestine.
Zaher NazzalDepartment of Medicine, Faculty of Medicine and Health Sciences, An-Najah National University, Nablus, Palestine. znazzal@najah.edu.ORCID http://orcid.org/0000-0002-2655-6109

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrediabetes represents a major global health challenge with substantial implications for population health. This study aimed to determine the prevalence of prediabetes among attendees at Palestinian primary health care (PHC) centers and identify associated factors.

methodsA cross-sectional study was conducted in PHC centers in the West Bank from February to June 2024. A total of 635 participants, representing both sexes, were recruited from six PHC centers, two from each of the three main regions of the West Bank, including one central and one peripheral center per region. Prediabetes was diagnosed through HbA1c testing. Associated factors were assessed through face-to-face interviews using the validated Canadian Diabetes Risk Questionnaire (CANRISK).

resultsThe overall prevalence of prediabetes among PHC attendees was 13.7% (95% Confidence Interval (CI): 11.0-16.3%). Multivariable logistic regression analysis identified several factors significantly associated with prediabetes. These included central obesity (adjusted Odss Ratio (aOR) = 4.2; 95% CI: 1.3-13.9), male sex (aOR = 4.5; 95% CI: 2.1-9.7), older age (aOR = 24.1; 95% CI: 7.9-73.7), and a family history of diabetes (aOR = 4.3; 95% CI: 1.6-12.2). Additional significant variables included unemployment (aOR = 2.4; 95% CI: 1.15-4.9), physical inactivity (aOR = 2.1; 95% CI: 1.1-4.1), and irregular consumption of fruits and vegetables (aOR = 3.1; 95% CI: 1.9-5.7).

conclusionThe study reveals a significant prevalence of prediabetes among Palestinian PHC attendees, with central obesity, male sex, older age, and family history of diabetes emerging as key associated factors. We recommend that health policymakers integrate prediabetes detection into primary care, and clinicians prioritize lifestyle interventions for individuals at risk.

Indexed as

Prediabetic StatePrimary Health CareAdultAgedArabsCross-Sectional StudiesFemaleHumansMaleMiddle AgedMiddle EastPrevalenceRisk FactorsPalestinePrediabetesPrevalencePrimary health care attendeeRisk factorsScreening

Identifiers

PMID40855280
PMCPMC12376753

What Socratic holds

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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 Socratic graph.