ArticleInternational journal of physiology, pathophysiology and pharmacology2022
Effect of self-efficacy-based training on metabolic control of patients with type 2 diabetes.
Article in International journal of physiology, pathophysiology and pharmacology, 2022. 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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3 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundType 2 diabetes is a significant problem in today's society. Considering the possible effect of self-efficacy training on diabetes control, we aimed to investigate its impact on type 2 diabetes control.
methodsThis randomized controlled clinical trial was performed in 2018 in Isfahan city. Iranian Registry of Clinical Trials (IRCT) code for this study is IRCT20190219042762N1 (https://en.irct.ir/trial/37677). In so doing, 161 patients with diabetes were divided into two groups: intervention and control. The intervention group received six self-efficacy and healthy lifestyle training sessions, and self-efficacy strategies were taught in all sessions. Metabolic indices and the data collected by Diabetes Management Self-Efficacy Scale (DMSES) were analyzed before and three months after training by descriptive and inferential statistics.
resultsThe self-efficacy score of the intervention group was significantly higher after training (175.7±18 vs. 163.7±26, P = 0.001). Also, the cholesterol level, LDL, and systolic blood pressure reduced significantly in this group after the intervention (167±39 vs. 179±43.7 mg/dl, 94.2±31 vs. 102.6±39 mg/dl, 115.6±1.4 vs. 120.1±1.8 mmHg, respectively. P<0.05).
conclusionGenerally, self-efficacy training effectively improved metabolic control in patients with type 2 diabetes.
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36419674PMC9678751W4310332835What OpenQuestion holds
Registered trials
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.