Evidence map›Paper›PMID 42286467›Full record

ArticleBMC primary care2026

Predictors of diabetes self-management and glycemic control among patients with diabetes mellitus in conflict-affected Palestine.

Fuad Farajalla, Abd-Alrahman Halahla, Ashraf Jehad Abuejheisheh, Ayman Salameh, Mohyeddin Al-Allama, Momin Rasras

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Article in BMC primary care, 2026. 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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5 · Who and what money

Authors and funding

6 authors.

Fuad FarajallaNursing Department, Palestine Polytechnic University, Hebron, Palestine. fuad.farajalla@gmail.com.ORCID http://orcid.org/0009-0007-2881-1533
Abd-Alrahman HalahlaNursing Department, Palestine Polytechnic University, Hebron, Palestine.ORCID http://orcid.org/0009-0009-6499-9902
Ashraf Jehad AbuejheishehNursing Department, Faculty of Health Professions, Al-Quds University, Jerusalem, Palestine.ORCID http://orcid.org/0000-0002-9437-3304
Ayman SalamehNursing Department, Palestine Polytechnic University, Hebron, Palestine.ORCID http://orcid.org/0009-0003-9985-8444
Mohyeddin Al-AllamaNursing Department, Palestine Polytechnic University, Hebron, Palestine.ORCID http://orcid.org/0009-0004-3445-4526
Momin RasrasNursing Department, Palestine Polytechnic University, Hebron, Palestine.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPoor glycemic control and inadequate self-management drive the global diabetes mellitus (DM) burden. In conflict-affected Palestine, structural barriers worsen outcomes, yet diabetes management self-efficacy (DMSE) remains understudied.

aimTo assess diabetes management self-efficacy and glycemic control, their interrelationship, and the independent predictors of each among patients with diabetes mellitus in conflict-affected Palestine.

methodsA cross-sectional study was conducted among 418 adults with type 1 or type 2 DM attending governmental diabetes clinics in the Hebron governorate, West Bank, Palestine. Data were collected using the Arabic-validated Diabetes Management Self-Efficacy Scale (DMSES) and a structured clinical questionnaire. Non-parametric tests and two multiple linear regression models were applied to identify independent predictors, with HbA1c and DMSE scores specified as the two dependent variables.

resultsGlycated hemoglobin (HbA1c) was suboptimal (median = 7.50, IQR = 2.30), while DMSE was moderate (median = 3.45/5, IQR = 1.10). Blood glucose management was the strongest subdomain, whereas physical exercise was the weakest. Former smoking (β = 0.202, 95% CI: 0.430, 1.494, p < .001), lower physical activity frequency (β = 0.156, 95% CI: 0.098, 0.455, p = .003), and diabetes-related complications (β =-0.154, 95% CI: -1.132, - 0.210, p = .004) independently predicted higher HbA1c. Lower physical activity (β =-0.177, 95% CI: -0.208, - 0.060, p < .001), longer disease duration (β =-0.135, 95% CI: -0.177, - 0.021, p = .013), lower income (β = 0.163, 95% CI: 0.081, 0.348, p = .002), and lower education (β = 0.127, 95% CI: 0.018, 0.227, p = .022) independently predicted lower DMSE.

conclusionClinical, behavioral, and socioeconomic factors independently predicted glycemic control and self-efficacy. The DMSE-HbA1c disconnect indicates structural barriers impede self-management behavior. Integrating clinical education with economic and structural support is essential to improve diabetes outcomes in conflict-affected settings.

Indexed as

Diabetes Mellitus, Type 1Diabetes Mellitus, Type 2Glycemic ControlSelf EfficacySelf-ManagementAdultBlood GlucoseCross-Sectional StudiesExerciseFemaleGlycated HemoglobinHumansMaleMiddle AgedMiddle EastBlood GlucoseGlycated HemoglobinCross-sectional studyDiabetes mellitusGlycemic controlHbA1cPalestineSelf-efficacySelf-management

Identifiers

PMID42286467
PMCPMC13495152

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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.