Synthesising evidence for equity impacts of population-based physical activity interventions: a pilot study.

Synthesising evidence for equity impacts of population-based physical activity interventions: a pilot study.
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DOI:
10.1186/1479-5868-10-76
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发表时间:
2013-06-15
期刊:
The international journal of behavioral nutrition and physical activity
影响因子:
--
通讯作者:
Ogilvie D
Ogilvie D
中科院分区:
其他
文献类型:
--
作者:
Humphreys DK;Ogilvie D

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本研究采用公平透镜,以现有的研究,调查什么是已知的影响,人口水平的身体活动干预社会不平等。我们进行了一项试验性系统评价,以评估有关干预效果的社会分布、干预的目标或分配以及参与者基线特征的信息的可用性。这包括(i)系统性综述的快速综述和(ii)合格系统性综述中包含的主要研究样本的综述和综合。我们发现了19个环境和政策干预的系统评价。其中相对较少(26%,n=5)的前瞻性设计,以检查对不平等的影响,没有一个能够充分综合的证据分配效果。超过40%的主要研究报告了亚组干预效应; 18%报告了社会人口学相互作用效应。研究最常按性别比较有效性,其次是年龄、种族和社会经济地位。就性别而言,效果似乎总体上均匀分布,尽管研究之间梯度的异质性表明,一些干预措施对男性和女性的影响不同。我们的研究结果表明,这是可行的,以产生更好的证据,如何公共卫生干预措施可能会影响健康不平等使用现有的数据和创新的研究方法合成。
This study applied an equity lens to existing research to investigate what is known about the impact of population-level physical activity interventions on social inequalities. We performed a pilot systematic review to assess the availability of information on the social distribution of intervention effects, the targeting or allocation of interventions, and the baseline characteristics of participants. This comprised (i) a rapid review of systematic reviews and (ii) a review and synthesis of a sample of primary studies included in the eligible systematic reviews. We found 19 systematic reviews of environmental and policy interventions. Relatively few of these (26%, n=5) were prospectively designed to examine effects on inequalities, and none were able to fully synthesise evidence of distributional effects. Over 40% of primary studies reported subgroup intervention effects; 18% reported socio-demographic interaction effects. Studies most often compared effectiveness by gender, followed by age, ethnicity, and socio-economic status. For gender, effects appeared to be evenly distributed overall, although heterogeneity in gradients between studies suggested that some interventions affect males and females differently. Our findings suggest that it is feasible to generate better evidence about how public health interventions may affect health inequalities using existing data and innovative methods of research synthesis.
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