Johns Hopkins University School of Medicine and Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (W.L.B., R.F.W., A.Z., E.T., E.A.K., H.K., E.A.S., O.S., E.B.B., L.J.C.).
Ann Intern Med. 2018 Jun 5;168(11):791-800. doi: 10.7326/M18-0309. Epub 2018 May 1.
Given the obesity pandemic, rigorous methodological approaches, including natural experiments, are needed.
To identify studies that report effects of programs, policies, or built environment changes on obesity prevention and control and to describe their methods.
PubMed, CINAHL, PsycINFO, and EconLit (January 2000 to August 2017).
Natural experiments and experimental studies evaluating a program, policy, or built environment change in U.S. or non-U.S. populations by using measures of obesity or obesity-related health behaviors.
2 reviewers serially extracted data on study design, population characteristics, data sources and linkages, measures, and analytic methods and independently evaluated risk of bias.
294 studies (188 U.S., 106 non-U.S.) were identified, including 156 natural experiments (53%), 118 experimental studies (40%), and 20 (7%) with unclear study design. Studies used 106 (71 U.S., 35 non-U.S.) data systems; 37% of the U.S. data systems were linked to another data source. For outcomes, 112 studies reported childhood weight and 32 adult weight; 152 had physical activity and 148 had dietary measures. For analysis, natural experiments most commonly used cross-sectional comparisons of exposed and unexposed groups (n = 55 [35%]). Most natural experiments had a high risk of bias, and 63% had weak handling of withdrawals and dropouts.
Outcomes restricted to obesity measures and health behaviors; inconsistent or unclear descriptions of natural experiment designs; and imperfect methods for assessing risk of bias in natural experiments.
Many methodologically diverse natural experiments and experimental studies were identified that reported effects of U.S. and non-U.S. programs, policies, or built environment changes on obesity prevention and control. The findings reinforce the need for methodological and analytic advances that would strengthen evaluations of obesity prevention and control initiatives.
National Institutes of Health, Office of Disease Prevention, and Agency for Healthcare Research and Quality. (PROSPERO: CRD42017055750).
鉴于肥胖症的流行,需要采用严格的方法,包括自然实验。
确定报告有关肥胖预防和控制的项目、政策或建筑环境变化效果的研究,并描述其方法。
PubMed、CINAHL、PsycINFO 和 EconLit(2000 年 1 月至 2017 年 8 月)。
在美国或非美国人群中使用肥胖或与肥胖相关的健康行为的措施评估项目、政策或建筑环境变化的自然实验和实验研究。
两名审查员连续提取研究设计、人口特征、数据来源和链接、测量和分析方法的数据,并独立评估偏倚风险。
确定了 294 项研究(美国 188 项,非美国 106 项),其中包括 156 项自然实验(53%)、118 项实验研究(40%)和 20 项(7%)设计不明确的研究。研究使用了 106 项(美国 71 项,非美国 35 项)数据系统;美国数据系统中有 37%与另一个数据源相关联。关于结果,112 项研究报告了儿童体重和 32 项成人体重;152 项有身体活动,148 项有饮食措施。关于分析,自然实验最常使用暴露组和未暴露组的横断面比较(n=55 [35%])。大多数自然实验的偏倚风险较高,63%的实验对退出和辍学的处理较弱。
结果仅限于肥胖测量和健康行为;自然实验设计的描述不一致或不清楚;以及自然实验中评估偏倚风险的不完善方法。
确定了许多方法多样的自然实验和实验研究,这些研究报告了美国和非美国的项目、政策或建筑环境变化对肥胖预防和控制的影响。这些发现强化了需要在肥胖预防和控制计划的评估方面取得方法和分析进展的必要性。
美国国立卫生研究院,疾病预防办公室,以及医疗保健研究和质量局。(PROSPERO:CRD42017055750)。