Predictor factors of uncontrolled diabetes.

IF 2.8 3区 医学 Q3 ENDOCRINOLOGY & METABOLISM
Zahra Cheraghi, Amin Doosti-Irani, Parvin Cheraghi, Parham Mohammadi, Marzieh Otogara
{"title":"Predictor factors of uncontrolled diabetes.","authors":"Zahra Cheraghi, Amin Doosti-Irani, Parvin Cheraghi, Parham Mohammadi, Marzieh Otogara","doi":"10.1186/s12902-025-01906-3","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>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.</p><p><strong>Materials: </strong>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.</p><p><strong>Results: </strong>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).</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":"25 1","pages":"84"},"PeriodicalIF":2.8000,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11938783/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC Endocrine Disorders","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12902-025-01906-3","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
引用次数: 0

Abstract

Objective: 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.

Materials: 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.

Results: 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).

Conclusion: 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.

未控制糖尿病的预测因素。
目的:糖尿病患者面临的最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良的最关键预测因素。材料:本综述采用综合方法,利用所有可用的分析横断面、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。该综述包括来自国际数据库的文章,包括Web of Science、PubMed、Scopus和谷歌Scholar,没有出版日期和语言的限制。数据提取一直进行到2024年5月11日,使用Stata 17软件进行统计分析,采用95%置信度的随机效应模型。结果:在157841份记录中,共纳入59项横断面研究、4项病例对照研究和3项队列研究,共纳入284558名参与者,平均年龄53.78岁(SD = 6.33)。年龄、性别、吸烟状况、受教育程度、收缩压、舒张压和BMI这7个分析因素之间没有统计学上的显著相关性。然而,我们观察到,身体活动每增加一个单位,血糖控制不良的可能性就会显著降低。具体来说,随着体力活动水平的增加,血糖控制不良的可能性降低(调整OR 0.41;95% ci: 0.24, 0.72;p值= 0.02)。结论:我们的系统回顾和荟萃分析研究表明,2型糖尿病患者体育活动水平的增加增加了实现更好的血糖控制的机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
BMC Endocrine Disorders
BMC Endocrine Disorders ENDOCRINOLOGY & METABOLISM-
CiteScore
4.40
自引率
0.00%
发文量
280
审稿时长
>12 weeks
期刊介绍: BMC Endocrine Disorders is an open access, peer-reviewed journal that considers articles on all aspects of the prevention, diagnosis and management of endocrine disorders, as well as related molecular genetics, pathophysiology, and epidemiology.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信