Your browser doesn't support javascript.
loading
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.
Al Eid, Nawal A; Arnout, Boshra A; Al-Qahtani, Thabit A; Pavlovic, Slavica; AlZahrani, Mohammed R; Abdelmotelab, Abdalla S; Abdelmotelab, Youssef S.
Affiliation
  • Al Eid NA; Department of Islamic Studies, College of Arts, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
  • Arnout BA; Department of Psychology, King Khalid University, Abha, Saudi Arabia.
  • Al-Qahtani TA; Department of Psychology, Zagazig University, Zagazig, Egypt.
  • Pavlovic S; Department of Learning and Structure, King Khalid University, Abha, Saudi Arabia.
  • AlZahrani MR; Faculty of Science and Education, University of Mostar, Mostar, Bosnia and Herzegovina.
  • Abdelmotelab AS; Department of Psychology, Umm Al-Qura University, Al-Abidiyah, Makkah, Saudi Arabia.
  • Abdelmotelab YS; Faculty of Medicine, Badr University, Cairo, Egypt.
PLoS One ; 19(8): e0308454, 2024.
Article in En | MEDLINE | ID: mdl-39178273
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.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Bayes Theorem / Diabetes Mellitus Limits: Adult / Aged / Female / Humans / Male / Middle aged Country/Region as subject: Asia Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2024 Document type: Article Affiliation country: Arabia Saudita Country of publication: EEUU / ESTADOS UNIDOS / ESTADOS UNIDOS DA AMERICA / EUA / UNITED STATES / UNITED STATES OF AMERICA / US / USA

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Bayes Theorem / Diabetes Mellitus Limits: Adult / Aged / Female / Humans / Male / Middle aged Country/Region as subject: Asia Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2024 Document type: Article Affiliation country: Arabia Saudita Country of publication: EEUU / ESTADOS UNIDOS / ESTADOS UNIDOS DA AMERICA / EUA / UNITED STATES / UNITED STATES OF AMERICA / US / USA