1. Does Online Social Support Affect the Eating Behaviors of Polish Women with Insulin Resistance?
- Author
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Pastusiak KM, Kręgielska-Narożna M, Mróz M, Seraszek-Jaros A, Błażejewska W, and Bogdański P
- Subjects
- Humans, Female, Poland, Middle Aged, Adult, Diabetes Mellitus, Type 2, Surveys and Questionnaires, Diet, Healthy psychology, Self-Help Groups, Diet, Aged, Internet, Insulin Resistance, Feeding Behavior psychology, Social Support
- Abstract
Background: Insulin resistance, a key factor in developing type 2 diabetes mellitus, is linked to various health conditions. The basis of its treatment is lifestyle modification. However, adherence to nutritional and other medical recommendations can be challenging for chronic disease patients due to many factors, including demographics, social context, gender, age, and the patient's baseline health condition. This study aims to evaluate the impact of online support group members on the diet quality of women with insulin resistance., Methods: This study was conducted as an online survey consisting of KomPAN (validated food frequency questionnaire) augmented with questions regarding using professional counseling and membership in support groups. The study covered 1565 women with insulin resistance, 1011 of whom were associated with the online support group., Results: The mean pHDI (pro-health diet index) was 5.18 ± 2.69 in the support groups and 4.86 ± 2.69 in the control group ( p = 0.0319. There were no significant differences in the nHDI (non-health diet index). We found that the pHDI is associated with financial situations, the household's situation, occupation education level, and medical or dietitian care, whereas occupation, medical, and dietitian care affect the nHDI. Membership in support groups is related to a higher pHDI and state of self-assessment of nutritional knowledge., Conclusions: Our study indicates a relationship between participation in online support groups and dietary behaviors and the subjective assessment of nutrition knowledge. Future research should focus on elucidating the mechanisms behind these influences and exploring how these communities can be optimized for broader public health initiatives.
- Published
- 2024
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