Predicting small area health-related behaviour: a comparison of multilevel synthetic estimation and local survey data
Predicting small area health-related behaviour: a comparison of multilevel synthetic estimation and local survey data
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DOI：
10.1016/s0277-9536(01)00065-x
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发表时间：
2002-03-01
影响因子：
5.4
通讯作者：
Moon, G
中科院分区：
文献类型：
--
作者：
Twigg, L;Moon, G
最近发表在《社会科学与医学》杂志上的一篇论文（Twigg等人，50(2000)1109）概述了一种使用多层模型估计小区域健康相关行为患病率的方法。本文将多层方法的应用结果与使用更传统的当地“生活方式”调查策略的结果进行了比较。对吸烟流行率和高酒精消费量的估计进行了审查，并对这两种估计方法进行了批判性评估。结论是，与不安全的酒精消费相比，替代方法更适合于预测吸烟率。(C) 2002 Elsevier Science Ltd.版权所有。
A recent paper in Social Science and Medicine (Twigg et al. 50 (2000) 1109) outlined an approach to the estimation of prevalences of small-area health-related behaviour using multilevel models. This paper compares results from the application of the multilevel approach with those derived using the more traditional strategy of the local 'lifestyle' survey. Estimations of smoking prevalence and high alcohol consumption are examined and critical assessments made of both estimation approaches. It is concluded that the alternative method is more suited towards the prediction of smoking rates as opposed to unsafe alcohol consumption. (C) 2002 Elsevier Science Ltd. All rights reserved.