Evidence map›Paper›PMID 39178273›Full record

ArticlePloS one2024

The potential role of religiosity, psychological immunity, gender, and age group in predicting the psychological well-being of diabetic patients in Saudi Arabia within the Bayesian framework.

Nawal A Al Eid, Boshra A Arnout, Thabit A Al-Qahtani, Slavica Pavlovic, Mohammed R AlZahrani, Abdalla S Abdelmotelab, Youssef S Abdelmotelab

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Article in PloS one, 2024. 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
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Nawal A Al EidDepartment of Islamic Studies, College of Arts, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
Boshra A ArnoutDepartment of Psychology, King Khalid University, Abha, Saudi Arabia.ORCID 0000-0003-3418-5667
Thabit A Al-QahtaniDepartment of Learning and Structure, King Khalid University, Abha, Saudi Arabia.
Slavica PavlovicFaculty of Science and Education, University of Mostar, Mostar, Bosnia and Herzegovina.
Mohammed R AlZahraniDepartment of Psychology, Umm Al-Qura University, Al-Abidiyah, Makkah, Saudi Arabia.
Abdalla S AbdelmotelabFaculty of Medicine, Badr University, Cairo, Egypt.
Youssef S AbdelmotelabFaculty of Medicine, Badr University, Cairo, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to investigate the differences in Religiosity (R), Mental Immunity (MI), and Psychological Well-Being (PWB) in patients with diabetes due to gender and age group variables, and to detect the best predictors of PWB in diabetic patients within the Bayesian framework. The study was conducted from May 2022 to February 2023 on a random sample of 186 Saudis diagnosed with diabetes. After obtaining participants' consent, they completed three R, MI, and PWB scales. Bayesian Independent Samples t-test was performed to identify differences, and Bayesian linear regression analysis was used to reveal the best prediction model of PWB. The results of the Bayesian independent samples t-test indicated strong evidence supporting the alternative hypothesis H1, suggesting differences between male and female diabetic patients in R, MI, and PWB, with Bayesian factor values exceeding 10 (8.338×10+23, 1.762×10+25, and 1.866×10+24), and Cohen's δ of (-1.866, -1.934, -1.884). These results indicated that females with diabetes have higher means of R, MI, and PWB compared to males. However, the results also suggested evidence for the null hypothesis H0 of no differences in R, MI, and PWB among diabetic patients due to age group, with Bayesian factor values (0.176, 0.181, and 0.187) less than 1.00 and small Cohen's δ of (-0.034, -0.050, -0.063). Bayesian linear regression analysis detected strong evidence that the model including MI is the best predictive model (BF10 for mental immunity is 1.00 and for the other two models are 0.07 and 4.249×10-16) for the PWB of diabetic patients, however, there is no evidence that the model including R or the interaction between R and MI is the best predictor of PWB for diabetic patients. These findings highlight the need for direct psychological care services for male diabetic patients and the urgent need to enhance IM in diabetic patients to improve their PWB. Furthermore, results recommended that healthcare providers in Saudi Arabia integrate MI interventions into diabetes care programs.

Indexed as

Bayes TheoremDiabetes MellitusAdultAgedAge FactorsFemaleHumansMaleMental HealthMiddle AgedPsychological Well-BeingReligionSaudi ArabiaSex FactorsYoung Adult

Identifiers

PMID39178273
PMCPMC11343467

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.