Impact of WhatsApp-Based Self-Care Education on Self-Care Behaviors and Lifestyle in Overweight and Obese Pregnant Women with Diabetes: A Randomized Controlled Trial

Background: Self-care education for overweight and obese pregnant women with diabetes can empower them to make informed decisions during pregnancy. Objectives: This study aimed to evaluate the effect of WhatsApp-delivered self-care education on self-care behaviors and lifestyle in this population. Methods: This randomized controlled trial involved eighty pregnant women with diabetes in Ahvaz, Iran. Participants were randomly assigned to two groups: One receiving face-to-face education and the other receiving a combination of face-to-face and WhatsApp-delivered online education. Blood glucose levels [fasting blood sugar (FBS), 2-hour postprandial (2HPP)], oral glucose tolerance test (OGTT) results, lifestyle scores, and self-care scores were measured before and after the intervention. Data were analyzed using SPSS. Results: Post-intervention, the intervention group demonstrated significantly lower one-hour (119.32 ± 16.54 vs. 163.55 ± 27.07, P=0.007) and two-hour (106.25 ± 15.65 vs. 147.77 ± 24.73, P = 0.028) postprandial blood glucose levels compared to the control group. Furthermore, lifestyle scores improved significantly in the intervention group (154.27 ± 23.24 vs. 42.65 ± 17.58), and self-care scores were markedly higher (141.85 ± 26.64 vs. 56.02 ± 11.63), both showing strong statistical significance (P < 0.001). Conclusions: WhatsApp-based self-care education is an effective intervention for reducing blood glucose levels and enhancing lifestyle and self-care behaviors in pregnant women with diabetes.

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Publication Details

Journal
Jundishapur Journal of Chronic Disease Care
Published
2024-11-25
DOI
https://doi.org/10.5812/jjcdc-153793
Citations
3
Primary Topic
Mobile Health and mHealth Applications
Type
article
Field-Weighted Citation Impact
2.55

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article

Impact of WhatsApp-Based Self-Care Education on Self-Care Behaviors and Lifestyle in Overweight and Obese Pregnant Women with Diabetes: A Randomized Controlled Trial

Majid Karandish, Zahra Abbaspoor, Mehrnoosh Zakerkish, Fatemeh Salarkarimi
3 citations
Jundishapur Journal of Chronic Disease Care
Mobile Health and mHealth Applications
2.55
article

Impact of WhatsApp-Based Self-Care Education on Self-Care Behaviors and Lifestyle in Overweight and Obese Pregnant Women with Diabetes: A Randomized Controlled Trial

Majid Karandish, Zahra Abbaspoor, Mehrnoosh Zakerkish, Fatemeh Salarkarimi
article en
3 citations

Abstract

Background: Self-care education for overweight and obese pregnant women with diabetes can empower them to make informed decisions during pregnancy. Objectives: This study aimed to evaluate the effect of WhatsApp-delivered self-care education on self-care behaviors and lifestyle in this population. Methods: This randomized controlled trial involved eighty pregnant women with diabetes in Ahvaz, Iran. Participants were randomly assigned to two groups: One receiving face-to-face education and the other receiving a combination of face-to-face and WhatsApp-delivered online education. Blood glucose levels [fasting blood sugar (FBS), 2-hour postprandial (2HPP)], oral glucose tolerance test (OGTT) results, lifestyle scores, and self-care scores were measured before and after the intervention. Data were analyzed using SPSS. Results: Post-intervention, the intervention group demonstrated significantly lower one-hour (119.32 ± 16.54 vs. 163.55 ± 27.07, P=0.007) and two-hour (106.25 ± 15.65 vs. 147.77 ± 24.73, P = 0.028) postprandial blood glucose levels compared to the control group. Furthermore, lifestyle scores improved significantly in the intervention group (154.27 ± 23.24 vs. 42.65 ± 17.58), and self-care scores were markedly higher (141.85 ± 26.64 vs. 56.02 ± 11.63), both showing strong statistical significance (P < 0.001). Conclusions: WhatsApp-based self-care education is an effective intervention for reducing blood glucose levels and enhancing lifestyle and self-care behaviors in pregnant women with diabetes.

Jundishapur Journal of Chronic Disease CareVol. 14(1)
Ahvaz Jundishapur University of Medical Sciences (IR), Diabetes Research Center
Ahvaz Jundishapur University of Medical Sciences, Vice Chancellor for Research and Technology, Kerman University of Medical Sciences
Openalex Percentile: Top 9%
Mobile Health and mHealth Applications
2.55
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