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Social network interventions for health behaviours and outcomes: A systematic review and meta-analysis

机译:针对健康行为和结果的社交网络干预:系统的回顾和荟萃分析

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Background There has been a growing interest in understanding the effects of social networks on health-related behaviour, with a particular backdrop being the emerging prominence of complexity or systems science in public health. Social network interventions specifically use or alter the characteristics of social networks to generate, accelerate, or maintain health behaviours. We conducted a systematic review and meta-analysis to investigate health behaviour outcomes of social network interventions. Methods and findings We searched eight databases and two trial registries from 1990 to May 28, 2019, for English-language reports of randomised controlled trials (RCTs) and before-and-after studies investigating social network interventions for health behaviours and outcomes. Trials that did not specifically use social networks or that did not include a comparator group were excluded. We screened studies and extracted data from published reports independently. The primary outcome of health behaviours or outcomes at ≤6 months was assessed by random-effects meta-analysis. Secondary outcomes included those measures at 6–12 months and 12 months. This study is registered with the International Prospective Register of Systematic Reviews, PROSPERO: CRD42015023541. We identified 26,503 reports; after exclusion, 37 studies, conducted between 1996 and 2018 from 11 countries, were eligible for analysis, with a total of 53,891 participants (mean age 32.4 years [SD 12.7]; 45.5% females). A range of study designs were included: 27 used RCT/cluster RCT designs, and 10 used other study designs. Eligible studies addressed a variety of health outcomes, in particular sexual health and substance use. Social network interventions showed a significant intervention effect compared with comparator groups for sexual health outcomes. The pooled odds ratio (OR) was 1.46 (95% confidence interval [CI] 1.01–2.11; Isup2/sup = 76%) for sexual health outcomes at ≤6 months and OR 1.51 (95% CI 1.27–1.81; Isup2/sup = 40%) for sexual health outcomes at 6–12 months. Intervention effects for drug risk outcomes at each time point were not significant. There were also significant intervention effects for some other health outcomes including alcohol misuse, well-being, change in haemoglobin A1c (HbA1c), and smoking cessation. Because of clinical and measurement heterogeneity, it was not appropriate to pool data on these other behaviours in a meta-analysis. For sexual health outcomes, prespecified subgroup analyses were significant for intervention approach (p 0.001), mean age of participants (p = 0.002), and intervention length (p = 0.05). Overall, 22 of the 37 studies demonstrated a high risk of bias, as measured by the Cochrane Risk of Bias tool. The main study limitations identified were the inclusion of studies of variable quality; difficulty in isolating the effects of specific social network intervention components on health outcomes, as interventions included other active components; and reliance on self-reported outcomes, which have inherent recall and desirability biases. Conclusions Our findings suggest that social network interventions can be effective in the short term (6 months) and longer term (6 months) for sexual health outcomes. Intervention effects for drug risk outcomes at each time point were not significant. There were also significant intervention effects for some other health outcomes including alcohol misuse, well-being, change in HbA1c, and smoking cessation.
机译:背景技术人们越来越了解社会网络对健康相关行为的影响,特别是在公共卫生领域,复杂性或系统科学日益突出。社交网络干预专门使用或更改社交网络的特征来生成,加速或维持健康行为。我们进行了系统的审查和荟萃分析,以调查社交网络干预措施的健康行为结果。方法和发现我们搜索了1990年至2019年5月28日的八个数据库和两个试验注册中心,以获取关于随机对照试验(RCT)的英语报告以及调查社交网络干预措施以进行健康行为和结果的前后研究。未专门使用社交网络或不包括比较组的试验被排除在外。我们筛选研究并从已发表的报告中独立提取数据。通过随机效应荟萃分析评估健康行为或≤6个月时的主要结果。次要结局包括那些在> 6-12个月和> 12个月的措施。该研究已在国际系统评价预期登记册PROSPERO中注册:CRD42015023541。我们确定了26,503份报告;排除后,从1996年至2018年在11个国家进行的37项研究符合分析条件,共有53,891名参与者(平均年龄32.4岁[SD 12.7];女性45.5%)。包括一系列研究设计:27个使用的RCT /群集RCT设计,以及10个使用的其他研究设计。符合条件的研究涉及多种健康结果,尤其是性健康和药物使用。与对照组相比,社交网络干预对性健康结局显示出显着的干预效果。 ≤6个月性健康结局的综合优势比(OR)为1.46(95%置信区间[CI] 1.01–2.11; I 2 = 76%),OR为1.51(95%CI 1.27) –1.81; I 2 = 40%)> 6–12个月的性健康结果。在每个时间点对药物风险结果的干预效果均不显着。对于其他一些健康结局,也有明显的干预效果,包括滥用酒精,健康,血红蛋白A1c(HbA1c)的变化和戒烟。由于临床和测量的异质性,在荟萃分析中合并有关这些其他行为的数据是不合适的。对于性健康结果,预先指定的亚组分析对干预方法(p <0.001),参与者平均年龄(p = 0.002)和干预时间(p = 0.05)均具有重要意义。总体而言,通过Cochrane偏倚风险工具衡量,在37项研究中,有22项表现出较高的偏倚风险。确定的主要研究局限性是纳入了质量可变的研究;难以将特定的社交网络干预成分对健康结果的影响隔离出来,因为干预包括其他积极成分;以及对自我报告结果的依赖,这些结果具有内在的回忆和期望偏差。结论我们的研究结果表明,社交网络干预对于性健康结果的短期(<6个月)和长期(> 6个月)有效。在每个时间点对药物风险结果的干预效果均不显着。对于其他一些健康结局,也有明显的干预效果,包括滥用酒精,健康,HbA1c的变化和戒烟。

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