Suppr超能文献

Clustering of risk factors for coronary heart disease. the longitudinal relationship with lifestyle.

作者信息

Twisk J W, Kemper H C, Van Mechelen W, Post G B

机构信息

Institute for Research in Extramural Medicine, EMGO-Institute, Faculty of Medicine, Vrije Universiteit, Amsterdam, The Netherlands.

出版信息

Ann Epidemiol. 2001 Apr;11(3):157-65. doi: 10.1016/s1047-2797(00)00202-7.

Abstract

PURPOSE

The purpose of this study was to investigate whether or not clustering of biological coronary heart disease (CHD) risk factors exists and to investigate the longitudinal relationship between lifestyle parameters (dietary intake, daily physical activity, smoking behaviour, alcohol consumption) and a biological CHD risk factor clustering score. This was defined as belonging to one or more gender specific 'high risk' quartiles for the following CHD risk factors: ratio between total serum cholesterol and high density lipoprotein cholesterol (TC:HDL), mean arterial blood pressure (MABP), body fatness [sum of skinfolds (SSF)], and cardiopulmonary fitness (VO2-max).

METHODS

The data were derived from the Amsterdam Growth and Health Study, an observational longitudinal study in which six repeated measurements were carried out over a period of 15 years covering adolescence and young adulthood. The longitudinal relationships were analysed with generalized estimating equations.

RESULTS

The results showed significant clustering for the TC:HDL ratio, SSF, and VO(2)-max. MABP was not significantly associated with the other CHD risk factors. Daily physical activity and alcohol consumption (only for males) were both inversely related to the clustering score. None of the other lifestyle parameters showed significant relationships with the clustering score.

CONCLUSIONS

Based on this small longitudinal study, it can be stated that during adolescence and young adulthood both daily physical activity and alcohol consumption were related to a healthy CHD risk profile.

摘要

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验