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首页> 外文期刊>Preventive Medicine: An International Journal Devoted to Practice and Theory >A scoping review of statistical approaches to the analysis of multiple health-related behaviours
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A scoping review of statistical approaches to the analysis of multiple health-related behaviours

机译：对多种与健康有关的行为进行分析的统计方法的范围回顾

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Background: Smoking, diet, exercise, and alcohol are leading causes of chronic disease and premature death, many engage in two or more of these behaviours concurrently. The paper identified statistical approaches used to investigate multiple behavioural risk factors. Method: A scoping review of papers published in English from 2000 to 2011 was conducted; papers are related to concurrent participation in at least two of the behaviours. Statistical approaches were recorded and categorised. Results: Across 50 papers, two distinct approaches were identified. Co-occurrence analyses focused on concurrent but independent behaviours, represented by prevalence of behavioural combinations and/or by the summing behaviours into risk indexes. Clustering analyses investigated underlying associations between the concurrent behaviours, with clustering identified by divergences in observed and expected prevalence of combinations or through identification of latent or unobservable clusters. Co-occurrence was more frequently reported, but the use of clustering techniques and, in particular, cluster analytic and latent variable techniques increased across the study period. Discussion: The two approaches investigate concurrent participation in multiple health behaviours but differ in conceptualisation and analysis. Despite differences, inconsistency in the terminology describing the study of multiple health behaviours was apparent, with potential to influence understandings of concurrent health behaviours in policy and practice.
机译：背景：吸烟，饮食，运动和酗酒是造成慢性疾病和过早死亡的主要原因，许多人同时从事两种或多种行为。本文确定了用于调查多种行为危险因素的统计方法。方法：对2000年至2011年以英文发表的论文进行范围回顾。论文与同时参与至少两种行为有关。记录统计方法并将其分类。结果：在50篇论文中，确定了两种不同的方法。共现分析集中于并发但独立的行为，这些行为以行为组合的普遍性和/或将行为汇总为风险指数来表示。聚类分析研究了并发行为之间的潜在关联，其中聚类是通过观察和预期组合流行率的差异或通过识别潜在或不可观察的聚类来确定的。同时发生的报道比较频繁，但是在整个研究期间，聚类技术的使用，尤其是聚类分析和潜在变量技术的使用有所增加。讨论：两种方法研究同时参与多种健康行为，但在概念和分析上有所不同。尽管存在差异，但描述多种健康行为研究的术语不一致仍然很明显，并且有可能影响对政策和实践中对同时发生的健康行为的理解。

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