Sadeghi Alireza, Dehdari Ebrahimi Niloofar
Student Research Committee Shiraz University of Medical Sciences Shiraz Iran.
Health Sci Rep. 2023 Aug 21;6(8):e1505. doi: 10.1002/hsr2.1505. eCollection 2023 Aug.
Modern populations are prone to obesity, as sedentary lifestyles prevail globally. Previous research has shown that obesity and are mutually associated. However, the global prevalence of among individuals with obesity is not yet determined.
A comprehensive search will be conducted in PubMed, Scopus, and Web of Science online databases for studies that have reported the prevalence of infection among individuals with obesity. Cross-sectional, case-control, and cohort studies will be included if reported sufficient data. Records screening, data extraction, and quality assessment will be done by independent reviewers. Joanna Bridge Institute checklist for prevalence studies will be used to appraise the included studies. Prevalence will be pooled using random effect models. Heterogeneity will be quantified by and value. Subgroup analyses and meta-regression will be utilized to address the sources of residual between-study heterogeneity.
Understanding the regional and global occurrence of infection in individuals with obesity can provide valuable insights for health policymakers and clinicians to devise proficient diagnostic and eradication strategies, thereby enhancing postoperative outcomes for patients undergoing bariatric surgery. The study's strength will lie in not being restricted to language and time of publication, comprehensive investigation of regional and pre- and posteradication estimates, and the effects of time trends and sociodemographic indices on prevalence. However, potential heterogeneity in methodologies used across prevalence studies could affect the interpretation of the results. Additionally, the study relies on previously published studies, limiting data quality and completeness.
由于全球普遍存在久坐不动的生活方式,现代人群容易肥胖。先前的研究表明,肥胖与[此处缺失具体内容]相互关联。然而,肥胖个体中[此处缺失具体内容]的全球患病率尚未确定。
将在PubMed、Scopus和科学网在线数据库中进行全面检索,以查找报告肥胖个体中[此处缺失具体内容]感染患病率的研究。如果报告了足够的数据,将纳入横断面研究、病例对照研究和队列研究。记录筛选、数据提取和质量评估将由独立评审员完成。将使用乔安娜·布里奇研究所患病率研究清单来评估纳入的研究。将使用随机效应模型汇总患病率。将通过[此处缺失具体内容]和[此处缺失具体内容]值对异质性进行量化。将利用亚组分析和元回归来解决研究间残留异质性的来源。
了解肥胖个体中[此处缺失具体内容]感染的区域和全球发生率,可为卫生政策制定者和临床医生制定有效的诊断和根除策略提供有价值的见解,从而提高接受减肥手术患者的术后效果。该研究的优势在于不受语言和出版时间的限制,对区域以及根除前后的估计进行全面调查,以及时间趋势和社会人口学指标对[此处缺失具体内容]患病率的影响。然而患病率研究中使用的方法潜在的异质性可能会影响结果的解释。此外,该研究依赖于先前发表的研究,限制了数据质量和完整性。