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新西兰生活方式行为的聚类及其与最佳幸福感的关系。

The Clustering of Lifestyle Behaviours in New Zealand and their Relationship with Optimal Wellbeing.

作者信息

Prendergast Kate B, Mackay Lisa M, Schofield Grant M

机构信息

Human Potential Centre, Auckland University of Technology, Private Bag 92006, Auckland, 1142, New Zealand.

出版信息

Int J Behav Med. 2016 Oct;23(5):571-9. doi: 10.1007/s12529-016-9552-0.

Abstract

PURPOSE

The purpose of this research was to determine (1) associations between multiple lifestyle behaviours and optimal wellbeing and (2) the extent to which five lifestyle behaviours-sleep, physical activity, sedentary behaviour, sugary drink consumption, and fruit and vegetable intake-cluster in a national sample.

METHOD

A national sample of New Zealand adults participated in a web-based wellbeing survey. Five lifestyle behaviours-sleep, physical activity, sedentary behaviour, sugary drink consumption, and fruit and vegetable intake-were dichotomised into healthy (meets recommendations) and unhealthy (does not meet recommendations) categories. Optimal wellbeing was calculated using a multi-dimensional flourishing scale, and binary logistic regression analysis was used to calculate the relationship between multiple healthy behaviours and optimal wellbeing. Clustering was examined by comparing the observed and expected prevalence rates (O/E) of healthy and unhealthy two-, three-, four-, and five-behaviour combinations.

RESULTS

Data from 9425 participants show those engaging in four to five healthy behaviours (23 %) were 4.7 (95 % confidence interval (CI) 3.8-5.7) times more likely to achieve optimal wellbeing compared to those engaging in zero to one healthy behaviour (21 %). Clustering was observed for healthy (5 %, O/E 2.0, 95 % CI 1.8-2.2) and unhealthy (5 %, O/E 2.1, 95 % CI 1.9-2.3) five-behaviour combinations and for four- and three-behaviour combinations. At the two-behaviour level, healthy fruit and vegetable intake clustered with all behaviours, except sleep which did not cluster with any behaviour.

CONCLUSION

Multiple lifestyle behaviours were positively associated with optimal wellbeing. The results show lifestyle behaviours cluster, providing support for multiple behaviour lifestyle-based interventions for optimising wellbeing.

摘要

目的

本研究的目的是确定(1)多种生活方式行为与最佳健康状况之间的关联,以及(2)在全国样本中,睡眠、身体活动、久坐行为、含糖饮料消费以及水果和蔬菜摄入量这五种生活方式行为的聚集程度。

方法

新西兰成年人的全国样本参与了一项基于网络的健康调查。将睡眠、身体活动、久坐行为、含糖饮料消费以及水果和蔬菜摄入量这五种生活方式行为分为健康(符合建议)和不健康(不符合建议)两类。使用多维繁荣量表计算最佳健康状况,并采用二元逻辑回归分析来计算多种健康行为与最佳健康状况之间的关系。通过比较健康和不健康的两种、三种、四种和五种行为组合的观察患病率和预期患病率(O/E)来检查聚类情况。

结果

9425名参与者的数据显示,与那些有零至一种健康行为(21%)的人相比,有四至五种健康行为(23%)的人实现最佳健康状况的可能性高4.7倍(95%置信区间(CI)3.8 - 5.7)。观察到健康的(5%,O/E 2.0,95% CI 1.8 - 2.2)和不健康的(5%,O/E 2.1,95% CI 1.9 - 2.3)五种行为组合以及四种和三种行为组合存在聚类现象。在两种行为层面,健康的水果和蔬菜摄入量与所有行为聚类,除了睡眠与任何行为都不聚类。

结论

多种生活方式行为与最佳健康状况呈正相关。结果表明生活方式行为存在聚类现象,为基于多种行为生活方式的优化健康干预措施提供了支持。

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