Volume 23 Issue 8
Aug.  2025
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CAI Fengcheng, XU Mengyan, LIU Bei, WU Yingying. Study on the status and influencing factors of self-regulation fatigue in pregnant women with gestational diabetes[J]. Chinese Journal of General Practice, 2025, 23(8): 1343-1345. doi: 10.16766/j.cnki.issn.1674-4152.004130
Citation: CAI Fengcheng, XU Mengyan, LIU Bei, WU Yingying. Study on the status and influencing factors of self-regulation fatigue in pregnant women with gestational diabetes[J]. Chinese Journal of General Practice, 2025, 23(8): 1343-1345. doi: 10.16766/j.cnki.issn.1674-4152.004130

Study on the status and influencing factors of self-regulation fatigue in pregnant women with gestational diabetes

doi: 10.16766/j.cnki.issn.1674-4152.004130
Funds:

 2024KY226

 2024ZL739

 A20220046

  • Received Date: 2024-09-18
    Available Online: 2025-10-31
  •   Objective  To understand the factors influencing self-regulation fatigue in pregnant women with gestational diabetes mellitus (GDM) and provide a reference for their health management.  Methods  The GDM pregnant women registered at Hangzhou Obstetrics and Gynecology Hospital from January to June 2024 were selected as the research objects. Demographic information was collected using a general data questionnaire. The self-regulatory fatigue was assessed using the self-regulatory fatigue scale (SRF-S). The general self-efficacy scale (GSES), psychological resilience scale (CD-RISC), and social support rating scale were used to assess self-efficacy, resilience, and social support in pregnant women with GDM, respectively. Univariate analysis and multiple linear regression models were used to identify factors affecting self-regulatory fatigue in pregnant women with GDM.  Results  SRFS score was (47.20±8.53) points, GSE score was (23.60±4.15) points, and CD-RISC score was (59.70±11.66) points. GSES score and CD-RISC scores were negatively correlated with SRFS (r=-0.509, -0.487, respectively). Multiple linear regression analysis indicated that education level (college degree or above, β=-0.196), per capita monthly household income (>5 000 yuan, β=-0.214), gestational age (≥28 weeks, β=0.259), social support level (medium: β=-0.108; high: β=-0.287), self-efficacy (β=-0.135), and psychological resilience (β=-0.116) were significant factors affecting self-regulation fatigue (P<0.05).  Conclusion  GDM have a high level of self-regulation fatigue. Attention should be formulated to enhance self-efficacy and social support, thereby reducing their self-regulation fatigue.

     

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