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中国农村 2 型糖尿病患者的糖尿病知识可预测 HbA1c 水平:一项为期十个月的随访研究。

Diabetes knowledge predicts HbA1c levels of people with type 2 diabetes mellitus in rural China: a ten-month follow-up study.

机构信息

School of Social Development and Public Policy, Center for Behavioral Health, Beijing Normal University, Beijing, China.

National Population Heath Data Center, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

出版信息

Sci Rep. 2023 Oct 25;13(1):18248. doi: 10.1038/s41598-023-45312-y.

DOI:10.1038/s41598-023-45312-y
PMID:37880376
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10600128/
Abstract

Improving diabetes self-management (DSM) is facing real-world challenges among people with type 2 diabetes mellitus (T2DM) who have a low education level in resource-limited areas. This study aimed to investigate whether diabetes knowledge could predict glycemic levels in people with T2DM in rural China. This analytical cross-sectional study recruited 321 people with T2DM from eight villages by purposive sampling at baseline. After 10 months, 206 patients completed the follow-up survey and HbA1c tests, with a response rate of 64.17% (206/321). Multiple regression analysis was employed to explore the correlation between diabetes knowledge and HbA1c levels. The patient's diabetes knowledge was significantly negatively correlated with HbA1c levels before and after controlling for covariates in both hierarchical multiple regression and multiple logistic regression (p < 0.01). In addition, other influencing factors, including sex, age, marital status, employment status, income, and HbA1c levels at baseline, were also identified. Diabetes knowledge could predict HbA1c levels significantly among patients with low education levels in rural China. Therefore, interventions on improving diabetes knowledge need to be strengthened for patients in rural China so that they can improve their health outcomes and reduce the disease burden.

摘要

提高糖尿病自我管理(DSM)在资源有限地区教育水平较低的 2 型糖尿病(T2DM)患者中面临着现实挑战。本研究旨在探讨糖尿病知识是否可以预测中国农村 T2DM 患者的血糖水平。本分析性横断面研究采用立意抽样法,在基线时从 8 个村庄招募了 321 名 T2DM 患者。10 个月后,206 名患者完成了随访调查和 HbA1c 检测,应答率为 64.17%(206/321)。采用多元回归分析探讨了糖尿病知识与 HbA1c 水平之间的相关性。在分层多元回归和多元逻辑回归中,患者的糖尿病知识在控制了协变量后,与 HbA1c 水平呈显著负相关(p<0.01)。此外,还确定了其他影响因素,包括性别、年龄、婚姻状况、就业状况、收入以及基线时的 HbA1c 水平。糖尿病知识可以显著预测中国农村低教育水平患者的 HbA1c 水平。因此,需要加强针对中国农村患者的提高糖尿病知识的干预措施,以便他们能够改善健康结果并减轻疾病负担。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b21c/10600128/538833d2456f/41598_2023_45312_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b21c/10600128/538833d2456f/41598_2023_45312_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b21c/10600128/538833d2456f/41598_2023_45312_Fig1_HTML.jpg

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