The Relationship Between Self-Care Based on Illness Perception with Social Support, Shared Decision-Making, and Self-Efficacy in Patients with Type 2 Diabetes

Diabetes self-care is significantly influenced by various psychosocial factors. Therefore, the present study aimed to examine the relationship between self-care based on illness perception with social support, shared decision-making, and self-efficacy in patients with type 2 diabetes. The research method was descriptive-correlational. In a cross-sectional survey, 800 patients with type 2 diabetes (331 men and 469 women) were selected through random sampling from hospitals in Qom Province. Data were collected using a demographic and illness perception questionnaire, the Family Social Support Questionnaire, the Self-Efficacy in Diabetic Patients Questionnaire, the Diabetes Self-Care Questionnaire, and the Patient Participation in Treatment Decision-Making Questionnaire. Data analysis was conducted using SPSS 26 software. The results indicated a significant positive relationship between self-care based on illness perception with social support, shared decision-making, and self-efficacy. Considering the findings, it can be concluded that self-efficacy, belief in treatment effectiveness, social support, diabetes severity, and type of treatment are crucial factors in performing self-management behaviors and can explain a substantial proportion of the variability in diabetes self-management.

Authors

Institutions

Publication Details

Journal
Health Nexus
Published
2025-01-01
DOI
https://doi.org/10.61838/kman.hn.3.2.1
Primary Topic
Health and Wellbeing Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Relationship Between Self-Care Based on Illness Perception with Social Support, Shared Decision-Making, and Self-Efficacy in Patients with Type 2 Diabetes

Mohammad Salehi, Leila Mohammadi Manesh, Rita Liaqat
Health Nexus
Health and Wellbeing Research
article

The Relationship Between Self-Care Based on Illness Perception with Social Support, Shared Decision-Making, and Self-Efficacy in Patients with Type 2 Diabetes

Mohammad Salehi, Leila Mohammadi Manesh, Rita Liaqat
article en

Abstract

Diabetes self-care is significantly influenced by various psychosocial factors. Therefore, the present study aimed to examine the relationship between self-care based on illness perception with social support, shared decision-making, and self-efficacy in patients with type 2 diabetes. The research method was descriptive-correlational. In a cross-sectional survey, 800 patients with type 2 diabetes (331 men and 469 women) were selected through random sampling from hospitals in Qom Province. Data were collected using a demographic and illness perception questionnaire, the Family Social Support Questionnaire, the Self-Efficacy in Diabetic Patients Questionnaire, the Diabetes Self-Care Questionnaire, and the Patient Participation in Treatment Decision-Making Questionnaire. Data analysis was conducted using SPSS 26 software. The results indicated a significant positive relationship between self-care based on illness perception with social support, shared decision-making, and self-efficacy. Considering the findings, it can be concluded that self-efficacy, belief in treatment effectiveness, social support, diabetes severity, and type of treatment are crucial factors in performing self-management behaviors and can explain a substantial proportion of the variability in diabetes self-management.

Health NexusVol. 3(2)
Islamic Azad University Central Tehran Branch (IR)
Openalex Percentile: Top 83%
Health and Wellbeing Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.