Evidence map›Paper›PMID 38910237›Full record

ArticleDiabetology & metabolic syndrome2024

Application of the path analysis model to evaluate the role of distress, mental health literacy and burnout in predicting self-care behaviors among patients with type 2 diabetes.

Alireza Jafari, Mahdi Moshki, Fatemehzahra Naddafi, Fatemeh Taghinezhad, Elham Charoghchian Khorasani, Negar Karimian, Zohre Farhadian, Hassan Alizadeh

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Article in Diabetology & metabolic syndrome, 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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8 authors.

Alireza JafariDepartment of Health Education and Health Promotion, School of Health, Social Development and Health Promotion Research Center, Gonabad University of Medical Sciences, Gonabad, Iran.
Mahdi MoshkiDepartment of Health Education and Health Promotion, School of Health, Social Development and Health Promotion Research Center, Gonabad University of Medical Sciences, Gonabad, Iran.
Fatemehzahra NaddafiStudent Research Committee, Gonabad University of Medical Sciences, Gonabad, Iran.
Fatemeh TaghinezhadStudent Research Committee, Gonabad University of Medical Sciences, Gonabad, Iran.
Elham Charoghchian KhorasaniSocial Determinants of Health Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Negar KarimianStudent Research Committee, Gonabad University of Medical Sciences, Gonabad, Iran.
Zohre FarhadianStudent Research Committee, Gonabad University of Medical Sciences, Gonabad, Iran.
Hassan AlizadehStudent Research Committee, Gonabad University of Medical Sciences, Gonabad, Iran. alizadeh_hassan12@yahoo.com.

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6 · The paper itself

Abstract

introductionMental complications of diabetes are one of the main obstacles to the implementation of self -care behaviors that have been less studied. Therefore, this study was conducted to survey the effective factors in predicting burnout and self-care behaviors among patients with type 2 diabetes.

methodsIn this Path analysis, 1280 patients with type 2 diabetes were selected from Mashhad (Iran) in 2023 to 2024. Four scales, the mental health literacy (MHL) scale, diabetes burnout scale, diabetes distress scale, and self-care behavior scale were used for data gathering. AMOS software checked the direct and indirect paths between the variables.

resultsIn the path analysis, variables of MHL and diabetes distress predicted 25% variance of diabetes burnout (R

conclusionMHL could reduce diabetes distress and burnout and eventually promote self-care behaviors among patients with type 2 diabetes. Therefore, screening and identifying psychological problems (such as distress and burnout) and designing interventions to increase MHL can ultimately increase the health of patients with diabetes.

Indexed as

Diabetes burnoutDiabetes distressHealth literacySelf-care behaviors

Identifiers

PMID38910237
PMCPMC11194894

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