Colorado State University, College of Health and Human Sciences, School of Social Work, 127 Education, 1586 Campus Delivery, Fort Collins, CO 80523-1586, United States.
Colorado State University, College of Health and Human Sciences, School of Social Work, 127 Education, 1586 Campus Delivery, Fort Collins, CO 80523-1586, United States.
J Safety Res. 2018 Feb;64:55-72. doi: 10.1016/j.jsr.2017.12.017. Epub 2017 Dec 27.
The purpose of this review was to assess the impact of socioeconomic status (SES) on injury and to evaluate how U.S. injury researchers have measured SES over the past 13years in observational research studies.
DESIGN & METHODS: This systematic review included 119 US injury studies indexed in PubMed between January 1, 2002 and August 31, 2015 that used one or more individual and/or area-level measures of SES as independent variables. Study findings were compared to the results of a previous review published in 2002.
Findings indicate SES remains an important predictor of injury. SES was inversely related to injury in 78 (66%) of the studies; inverse relationships were more consistently found in studies of fatal injury (77.4%) than in studies of non-fatal injury (58%). Approximately two-thirds of the studies (n=73, 61%) measured SES along a gradient and 59% used more than one measure of SES (n=70). Studies that used a gradient measure of SES and/or more than one measure of SES identified significant relationships more often. These findings were essentially equivalent to those of a similar 2002 review (Cubbin & Smith, 2002).
There remains a need to improve measurement of SES in injury research. Public health training programs should include best practices for measurement of SES, which include: measuring SES along a gradient, selecting SES indicators based on the injury mechanism, using the smallest geographic region possible for area-level measures, using multiple indicators when possible, and using both individual and area-level measures as both contribute independently to injury risk. Area-level indicators of SES are not accurate estimates of individual-level SES.
Injury researchers should measure SES along a gradient and incorporate individual and area-level SES measures that are appropriate to the injury outcome under study.
本综述旨在评估社会经济地位(SES)对伤害的影响,并评估美国伤害研究人员在过去 13 年的观察性研究中如何测量 SES。
本系统综述包括 2002 年 1 月 1 日至 2015 年 8 月 31 日期间在 PubMed 中索引的 119 项美国伤害研究,这些研究使用了一种或多种个体和/或区域 SES 测量作为自变量。研究结果与 2002 年发表的先前综述的结果进行了比较。
研究结果表明 SES 仍然是伤害的一个重要预测因素。SES 与 78 项研究中的 78 项(66%)伤害呈负相关;在致命伤害研究中,这种负相关关系更为一致(77.4%),而非致命伤害研究中则更为一致(58%)。大约三分之二的研究(n=73,61%)沿着梯度测量 SES,59%的研究使用了超过一种 SES 测量方法(n=70)。使用 SES 梯度测量方法和/或多种 SES 测量方法的研究更常确定有意义的关系。这些发现与类似的 2002 年综述(Cubbin & Smith,2002)基本一致。
仍需要改进伤害研究中 SES 的测量方法。公共卫生培训计划应包括 SES 测量的最佳实践,包括:沿着梯度测量 SES,根据伤害机制选择 SES 指标,对区域水平的测量使用尽可能小的地理区域,尽可能使用多个指标,以及同时使用个体和区域水平的测量,因为它们都独立地对伤害风险有贡献。SES 的区域水平指标不能准确估计个体水平的 SES。
伤害研究人员应沿着梯度测量 SES,并纳入适合所研究伤害结果的个体和区域 SES 测量方法。