在过去的三十年中,肥胖症的患病率显着增加,并成为重要的公共卫生问题。在邻里层面的体重状态变异性的证据使研究人员更精确地研究可能影响能量平衡相关行为的当地地理区域的特征,在公共卫生研究中产生了“邻里效应”领域。在关于邻里效应和肥胖的大量文献中,我们提出了一个范围审查的协议,旨在确定住宅社区暴露的时间测量,个体协变量和权重结果集成在纵向设计中。
将通过在Pubmed中进行全面系统的数据库搜索,获得相关引用的列表,WebofScience和Embase。搜索策略将使用广泛的邻域定义来设计,以考虑到研究中这一概念的异质性。两名调查员将筛选标题,使用预定资格标准的摘要和整个出版物,生成选定出版物的列表。范围审查中包含的出版物的数据将根据书目信息绘制,研究人群,暴露,结果和结果。
据我们所知,我们的方案将产生关于肥胖邻域效应的纵向设计的第一次范围审查.描述纵向设计如何包括曝光的时间测量,协变量和结果是确定是否或哪些背景特征可能参与肥胖发展的必要步骤.这些信息将带来新的知识来补充当前的病因学调查,并将有助于加强利益相关者在制定相关干预措施以预防肥胖及其负面影响方面的资源分配策略。
The prevalence of obesity has increased significantly in the last three decades and became an important public health concern. Evidence of weight status variability at the neighbourhood level has led researchers to look more precisely at the characteristics of local geographic areas that might influence energy balance related behaviours, giving rise to the field of the \'neighbourhood effect\' in public health research. Among an abundant literature about neighbourhood effects and obesity, we propose a protocol for a scoping
review that will aim at determining how temporal measurements of residential neighbourhood exposure, individual covariates and weight outcome are integrated in longitudinal designs.
A list of relevant citations will be obtained through a comprehensive systematic database search in Pubmed, Web of Science and Embase. The search strategy will be designed using a broad definition of neighbourhood to take into account the heterogeneity of this concept in research. Two investigators will screen titles, abstracts and entire publications using predetermined eligibility criteria yielding a list of selected publications. Data from the publications included in the scoping
review will be charted according to bibliographic information, study population, exposure, outcomes and results.
To our knowledge, our protocol will yield the first scoping
review regarding longitudinal designs of neighbourhood effect on obesity. Describing how longitudinal designs include temporal measurements of exposure, covariates and outcome is a necessary step in the quest to determine if or which contextual characteristics are likely to be involved in the development of obesity. Such information would bring new knowledge to complement current aetiological investigations and would contribute to enhancing resource allocation strategies for stakeholders in developing relevant interventions to prevent obesity and its negative impacts.