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埃塞俄比亚西南部米赞阿曼城成年居民中未诊断的糖尿病患病率及相关因素:基于社区的横断面研究。

Prevalence of undiagnosed diabetes mellitus and associated factors among adult residents of Mizan Aman town, Southwest Ethiopia: Community-based cross-sectional study.

机构信息

Department of Public Health, Mizan Aman Health Science College, Mizan Aman, South West Ethiopia.

Department of Epidemiology, College of Public Health, Jimma University, Jimma, South West Ethiopia.

出版信息

PLoS One. 2024 May 7;19(5):e0302167. doi: 10.1371/journal.pone.0302167. eCollection 2024.

DOI:10.1371/journal.pone.0302167
PMID:38713690
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11075875/
Abstract

BACKGROUND

Diabetes mellitus continues to be a significant global public health concern, and it is currently a public health issue in developing nations. In Ethiopia, about three fourth of adult population with diabetes are unaware of their diabetic condition. However, there is a limited research on this specific topic particularly in the study area.

OBJECTIVE

To assess prevalence of undiagnosed diabetes mellitus and its associated factor among adult residents of Mizan Aman town, south West Ethiopia.

METHODS AND MATERIAL

A community-based cross-sectional study was conducted from May 23 to July 7, 2022, on 627 adult residents of Mizan Aman town. A multi stage sampling technique was used to obtain 646 study units. Interviewer-administered structured questionnaires were employed to gather socio-demographic and behavioral data. Anthropometric measurements were obtained and blood samples were taken from each participants. The fasting blood glucose level was measured after an 8-hour gap following a meal, using a digital glucometer to analyze a blood sample. Data were cleaned and entered into Epi-data v 3.1 and exported to SPSS v. 26 for analysis. Bi-variable analysis was done to select candidate variables and multivariable logistic regression model was fitted to identify independent predictors of undiagnosed diabetes mellitus. Adjusted odds ratio (AOR) with 95% CI was computed and variables with p-value < 0.05 were declared to be predictors of undiagnosed diabetes mellitus.

RESULTS

The study revealed that, the overall magnitude of undiagnosed diabetes mellitus was 8.13% (95% CI: 6.1, 10.6). Predictors of undiagnosed diabetes mellitus were; physical activity level less than 600 Metabolic equivalent/min per week (AOR = 3.39, 95%CI 1.08 to 10.66), family history of diabetes mellitus (AOR = 2.87, 95% CI 1.41, 5.85), current hypertension(AOR = 2.9, 95% CI 1.26, 6.69), fruit consumption of fewer than three servings per week(AOR = 2.64, 95% CI 1.18 to 5.92), and sedentary life(AOR = 3.33, 95% CI 1.63 to 6.79).

CONCLUSION

The prevalence of undiagnosed diabetes mellitus was 8.13%. Physical inactivity, family history of diabetes mellitus, current hypertension, sedentary life, and fruit servings fewer than three per week were independent predictors of undiagnosed diabetes mellitus.

摘要

背景

糖尿病仍然是一个重大的全球公共卫生问题,目前也是发展中国家的一个公共卫生问题。在埃塞俄比亚,约有四分之三的糖尿病成年患者不知道自己的糖尿病状况。然而,针对这一特定主题的研究有限,特别是在研究区域。

目的

评估米赞·阿曼镇成年居民中未确诊的糖尿病患病率及其相关因素,米赞·阿曼镇位于埃塞俄比亚西南部。

方法和材料

2022 年 5 月 23 日至 7 月 7 日,采用多阶段抽样技术,对米赞·阿曼镇的 627 名成年居民进行了一项基于社区的横断面研究。采用访谈员管理的结构化问卷收集社会人口统计学和行为数据。对每位参与者进行体格测量并采集血样。餐后 8 小时,使用血糖仪检测空腹血糖水平,以分析血样。数据经过清理后输入 Epi-data v 3.1,并导出到 SPSS v. 26 进行分析。进行双变量分析以选择候选变量,并采用多变量逻辑回归模型确定未确诊糖尿病的独立预测因素。计算调整后的优势比(AOR)和 95%置信区间,并将 p 值<0.05 的变量宣布为未确诊糖尿病的预测因素。

结果

研究显示,未确诊糖尿病的总体患病率为 8.13%(95%CI:6.1,10.6)。未确诊糖尿病的预测因素包括:每周体力活动水平低于 600 代谢当量/分钟(AOR=3.39,95%CI 1.08 至 10.66)、糖尿病家族史(AOR=2.87,95%CI 1.41 至 5.85)、现患高血压(AOR=2.9,95%CI 1.26 至 6.69)、每周水果摄入量少于三份(AOR=2.64,95%CI 1.18 至 5.92)和久坐生活方式(AOR=3.33,95%CI 1.63 至 6.79)。

结论

未确诊糖尿病的患病率为 8.13%。缺乏身体活动、糖尿病家族史、现患高血压、久坐生活方式和每周水果摄入量少于三份是未确诊糖尿病的独立预测因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e355/11075875/917c8b15948d/pone.0302167.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e355/11075875/7d73bc46b409/pone.0302167.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e355/11075875/917c8b15948d/pone.0302167.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e355/11075875/7d73bc46b409/pone.0302167.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e355/11075875/917c8b15948d/pone.0302167.g002.jpg

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