Tesfaye Yunka Temamen, Berhanu Mogas Solomon, Zawdie Belay, Tamiru Dessalegn, Tesfaye Yonas, Kebede Ayantu, Tadesse Mulualem, Kebede Gudina Esayas, Sena Dadi Lelisa
School of Nursing and Midwifery, Jimma University, Jimma, Oromia Region, Ethiopia.
Department of Epidemiology, Jimma University, Jimma, Oromia Region, Ethiopia.
Diabetes Metab Syndr Obes. 2020 Aug 19;13:2925-2933. doi: 10.2147/DMSO.S269386. eCollection 2020.
Early detection of the unrecognized diabetes mellitus (DM) and its risk factors in the community is crucial to minimizing the burden of DM and associated complications. Hence, this study aimed to assess unrecognized DM and its relationship with behavioral characteristics, physical characteristics, and lipid profile among adults in Jimma Town, Southwest Ethiopia.
A community-based cross-sectional study was conducted on 915 adults in Jimma Town from June 17 to July 27, 2019. Physical measurements, lipid profile, and blood sugar levels were measured. The collected data were entered and analyzed using Epi Data 3.1 and SPSS version 21, respectively. Multivariable logistic regression was fitted to assess predictors of unrecognized DM where adjusted odds ratio (AOR) with its corresponding 95% confidence interval (CI) was used to assess the strength of association at P-value ≤05.
The prevalence of unrecognized DM and impaired glucose metabolism (pre-diabetes) were 3.1% (95% CI; 2.0-4.4) and 14.8% (95% CI; 12.5-17.2), respectively. The risk of unrecognized DM was higher among male participants (AOR = 2.94, 95% CI: 1.19, 7.29), age group of 35 years and above (AOR = 3.45, 95% CI: 1.16, 10.27), and high waist circumference (AOR = 4.21, 95% CI: 1.72, 10.33). On the other hand, participants who perform sufficient physical activity (AOR = 0.14, 95% CI: 0.03, 0.58) had low risk of undetected DM.
The prevalence of unrecognized diabetes mellitus was relatively high. Male sex, advanced age, physical inactivity, and high waist circumference were found to be predictors of unrecognized DM. Thus, awareness needs to be created among the community to practice regular physical activity and maintaining normal body weight. Additionally, screening of DM should be promoted for early detection, prevention, and treatment.
在社区中早期发现未被识别的糖尿病(DM)及其危险因素对于将糖尿病及其相关并发症的负担降至最低至关重要。因此,本研究旨在评估埃塞俄比亚西南部吉马镇成年人中未被识别的糖尿病及其与行为特征、身体特征和血脂谱的关系。
2019年6月17日至7月27日,在吉马镇对915名成年人进行了一项基于社区的横断面研究。测量了身体指标、血脂谱和血糖水平。所收集的数据分别使用Epi Data 3.1和SPSS 21版录入并进行分析。采用多变量逻辑回归来评估未被识别的糖尿病的预测因素,其中调整后的优势比(AOR)及其相应的95%置信区间(CI)用于在P值≤0.05时评估关联强度。
未被识别的糖尿病和糖代谢受损(糖尿病前期)的患病率分别为3.1%(95%CI:2.0 - 4.4)和14.8%(95%CI:12.5 - 17.2)。男性参与者(AOR = 2.94,95%CI:1.19,7.29)、35岁及以上年龄组(AOR = 3.45,95%CI:1.16,10.27)以及高腰围(AOR = 4.21,95%CI:1.72,10.33)人群中未被识别的糖尿病风险较高。另一方面,进行足够体育活动的参与者(AOR = 0.14,95%CI:0.03,0.58)未被检测出糖尿病的风险较低。
未被识别的糖尿病患病率相对较高。男性、高龄、缺乏体育活动和高腰围被发现是未被识别的糖尿病的预测因素。因此,需要在社区中提高意识,促使人们经常进行体育活动并保持正常体重。此外,应推广糖尿病筛查以进行早期检测、预防和治疗。