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        <datestamp>2026-09-24T11:41:24Z</datestamp>
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          <dc:title>Supplementary file 1_Social network characteristics, self-management behavior, and the mediating role of self-efficacy among diabetes patients: a multicenter cross-sectional study.docx</dc:title>
          <dc:creator>Xixuan Cai (25091081)</dc:creator>
          <dc:creator>JianJiang Pan (25103845)</dc:creator>
          <dc:creator>Gang Li (34549)</dc:creator>
          <dc:creator>Tao Chen (75911)</dc:creator>
          <dc:creator>Zhou Fang (209353)</dc:creator>
          <dc:creator>Zhangqing Ren (25103848)</dc:creator>
          <dc:creator>LongMeng Peng (25103851)</dc:creator>
          <dc:creator>JingJing Huang (6297578)</dc:creator>
          <dc:creator>XiuHua Gong (25103854)</dc:creator>
          <dc:creator>QingXia Chen (25103857)</dc:creator>
          <dc:creator>BaoJi Wang (25103860)</dc:creator>
          <dc:creator>LuSha Li (25103863)</dc:creator>
          <dc:creator>LiYing Chen (20254755)</dc:creator>
          <dc:subject>Cell Metabolism</dc:subject>
          <dc:subject>Chinese population</dc:subject>
          <dc:subject>diabetes mellitus</dc:subject>
          <dc:subject>type 2</dc:subject>
          <dc:subject>self-efficacy</dc:subject>
          <dc:subject>self-management behavior</dc:subject>
          <dc:subject>social networks</dc:subject>
          <dc:description>Backgroud&lt;p&gt;Social isolation (structural social network deficit) is closely linked to poor health outcomes in patients with diabetes. Existing studies often focus on broad isolation or single-dimensional factors, lacking targeted exploration in the Chinese population.&lt;/p&gt;Objectives&lt;p&gt;To explore the associations between social network characteristics and self-management behavior in patients with diabetes, and assess the mediating role of self-efficacy in this association.&lt;/p&gt;Methods&lt;p&gt;A multi-center cross-sectional study was used to recruit 2, 358 patients with diabetes. The assessments included social network characteristics, self-efficacy, and self-management behavior. Pearson’s correlation analysis was employed to examine the relationships between these variables. Regression models were utilized to assess the mediating effect of self-efficacy, with the bootstrap method applied to confirm the significance of the mediation pathways.&lt;/p&gt;Results&lt;p&gt;Among the 2, 358 participants, the average diabetes management score was 36.51. Regression models indicated that both family network size (β = 0.251, 95% CI: 0.048–0.455, p = 0.016) and friend network size (β = 0.325, 95% CI: 0.147–0.504, p &lt; 0.001) were significantly associated with better self-management behavior in patients with diabetes. Family support (β = 0.558, 95% CI: 0.406–0.710, p &lt; 0.001) and friend support (β = 0.624, 95% CI: 0.484–0.764, p &lt; 0.001) also showed strong positive effects on self-management behavior in patients with diabetes. Pearson’s correlation analysis revealed significant positive associations between social network characteristics, self-efficacy, and self-management behaviors in patients with diabetes (p &lt; 0.001). The mediating role of self-efficacy was confirmed, with significant indirect effects observed for both family and friend support.&lt;/p&gt;Conclusions&lt;p&gt;This study highlights the significant influence of social network characteristics, particularly social support, on self-management behavior in diabetic patients. Family and friend support positively impact self-management behaviors, and self-efficacy mediates these relationships.&lt;/p&gt;</dc:description>
          <dc:date>2026-09-24T11:41:24Z</dc:date>
          <dc:type>Dataset</dc:type>
          <dc:type>Dataset</dc:type>
          <dc:identifier>10.3389/fendo.2026.1934060.s001</dc:identifier>
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          <dc:rights>CC BY 4.0</dc:rights>
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