Cheraghi Zahra, Doosti-Irani Amin, Cheraghi Parvin, Mohammadi Parham, Otogara Marzieh
Modeling of Noncommunicable Diseases Research Center, Institute of Health Sciences and Technologies, Avicenna Health Research Institute, Hamadan University of Medical Sciences, Hamadan, Iran.
Department of Epidemiology, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.
BMC Endocr Disord. 2025 Mar 26;25(1):84. doi: 10.1186/s12902-025-01906-3.
The most significant challenge faced by individuals with diabetes is poor blood sugar control. The objective of this review is to identify the most crucial predictors of poor glycemic control among patients with diabetes.
This review employed a comprehensive approach, utilizing all available analytical cross-sectional, case control and cohort studies to ascertain the pooled odds ratio/risk ratio of uncontrolled diabetes. The review encompassed articles from international databases, including Web of Science, PubMed, Scopus, and Google Scholar without restrictions on publication date or language. Data extraction was conducted until May 11, 2024, with statistical analyses performed using Stata 17 software, employing a random effects model at a 95% confidence level.
Out of 157,841 records, a total of 59 cross-sectional studies, 4 case-control studies, and 3 cohort studies were included, comprising 284,558 participants with a mean age of 53.78 years (SD = 6.33). There was no statistically significant association between the seven factors analyzed-age, gender, smoking status, education level, systolic blood pressure, diastolic blood pressure, and BMI. However, we observed a significant decrease in the likelihood of poor glycemic control with each unit increase in physical activity. Specifically, as physical activity levels increased, the likelihood of poor glycemic control decreased (adjusted OR 0.41; 95% CI: 0.24, 0.72; p-value = 0.02).
Our systematic review and meta-analysis study showed that increased levels of physical activity in individuals with type 2 diabetes enhance the chances of achieving better glycemic control.
糖尿病患者面临的最重大挑战是血糖控制不佳。本综述的目的是确定糖尿病患者血糖控制不佳的最关键预测因素。
本综述采用了全面的方法,利用所有可用的分析性横断面、病例对照和队列研究来确定未控制糖尿病的合并优势比/风险比。该综述涵盖了来自国际数据库的文章,包括科学网、PubMed、Scopus和谷歌学术,对出版日期或语言没有限制。数据提取截至2024年5月11日,使用Stata 17软件进行统计分析,采用95%置信水平的随机效应模型。
在157,841条记录中,总共纳入了59项横断面研究、4项病例对照研究和3项队列研究,包括284,558名参与者,平均年龄为53.78岁(标准差=6.33)。所分析的七个因素——年龄、性别、吸烟状况、教育水平、收缩压、舒张压和体重指数之间没有统计学上的显著关联。然而,我们观察到身体活动每增加一个单位,血糖控制不佳的可能性就会显著降低。具体而言,随着身体活动水平的提高,血糖控制不佳的可能性降低(调整后的优势比为0.41;95%置信区间:0.24, 0.72;p值=0.02)。
我们的系统评价和荟萃分析研究表明,2型糖尿病患者身体活动水平的提高增加了实现更好血糖控制的机会。