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Observational Study
Risk factors for fasting blood glucose control in middle-aged and elderly type 2 diabetes patients.
- Nang-Yue Kuang, Ye Hong, Jie-Ping Chen, Hui Li, and Na Tang.
- Hospital of Xinjiang Production and Construction Corps, Urumqi, China.
- Medicine (Baltimore). 2024 Aug 16; 103 (33): e39322e39322.
AbstractThis study aimed to investigate and analyze the medication use, fasting blood glucose control, and associated risk factors among residents with type 2 diabetes at the grassroots level in Xinjiang Production and Construction Corps. A multi-stage cluster sampling method was employed to conduct a questionnaire survey among residents aged 45 and above in battalions (communities) as the smallest unit. The medication use was recorded, and fasting blood glucose control was considered as the dependent variable. Logistic regression analysis was performed to identify the risk factors influencing fasting blood glucose control among different population characteristics. A total of 2316 participants were included in the study, of which 1072 were male (45.12%), 1418 were aged 65 and above (61.23%), 2031 were Han Chinese (87.69%), and 1551 were from the surrounding areas of Urumqi (66.97%). The main medications used among the top three classes were metformin, insulin, and α-glucosidase inhibitors. The treatment rate for type 2 diabetes was 71.80%, and the fasting blood glucose control rate was 27.98%. Multivariate analysis identified living outside the Urumqi surrounding area, age 65 and above, body mass index ≥ 24, abnormal blood lipids, and untreated hypertension as independent risk factors for poor fasting blood glucose control, while treatment was a protective factor for achieving blood glucose control. The treatment rate and fasting blood glucose control rate among grassroots residents with type 2 diabetes in Xinjiang Production and Construction Corps need improvement. Efforts should be made to enhance patient medication adherence and health management awareness through education. Targeted interventions should be implemented for high-risk populations with identified risk factors to reduce or delay the occurrence of diabetes and its complications, ultimately aiming to reduce mortality rates and improve quality of life.Copyright © 2024 the Author(s). Published by Wolters Kluwer Health, Inc.
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