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Nicotine Tob Res. 2013 Jul;15(7):1222-9. doi: 10.1093/ntr/nts260. Epub 2012 Dec 10.
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The Brazil SimSmoke policy simulation model: the effect of strong tobacco control policies on smoking prevalence and smoking-attributable deaths in a middle income nation.巴西 SimSmoke 政策模拟模型:在中等收入国家实施强有力的烟草控制政策对吸烟流行率和归因于吸烟的死亡人数的影响。
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[Prevalence of tobacco use and associated factors among women in Paraná State, Brazil].[巴西巴拉那州女性烟草使用情况及其相关因素]
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[Factors associated with smoking in the elderly: a health survey in São Paulo (ISA-SP)].[老年人吸烟的相关因素:圣保罗健康调查(ISA-SP)]
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The influence of the level of physical activity and human development in the quality of life in survivors of stroke.体力活动水平和人类发展对中风幸存者生活质量的影响。
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The burden of physical activity on type 2 diabetes public healthcare expenditures among adults: a retrospective study.体力活动负担对成年人 2 型糖尿病公共医疗支出的影响:一项回顾性研究。
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Prevalence of cardiovascular risk factors in elderly individuals treated in the Brazilian Public Health System in Goiânia.巴西戈亚尼亚公立医疗系统中治疗的老年个体中心血管风险因素的流行率。
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不同类别体育活动中的风险行为聚集对心血管危险因素发生的影响。

Influence of risk behavior aggregation in different categories of physical activity on the occurrence of cardiovascular risk factors.

作者信息

Bernardo Aline Fernanda Barbosa, Fernandes Rômulo Araújo, da Silva Anne Kastelianne França, Valenti Vitor Engrácia, Pastre Carlos Marcelo, Vanderlei Luiz Carlos Marques

机构信息

Faculdade de Ciências e Tecnologia, Programa de Pós-Graduação em Fisioterapia, UNESP, Universidade Estadual Paulista, R, Roberto Simonsen, 305,19060-900, Presidente Prudente, SP, Brazil.

出版信息

Int Arch Med. 2013 Jun 21;6(1):26. doi: 10.1186/1755-7682-6-26.

DOI:10.1186/1755-7682-6-26
PMID:23800219
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3702485/
Abstract

BACKGROUND

We aimed to verify the association of risk behavior aggregation in different categories of physical activity (PA) with the presence of cardiovascular risk factors (RF) employees at a public university.

METHOD

We analyzed data of 376 employees, which were visited in their workplace for measurement of weight, height and questionnaires to identify the risk behaviors and risk factors. Chi-square test was used to analyze the association between the dependent and independent variables and binary logistic regression was used to construct a multivariate model for the observed associations.

RESULTS

Associations were found between the aggregation of following risk behaviors: smoking, alcohol consumption and physical inactivity, considered in different categories of PA, and the increase in RF, except for the presence of hypertriglyceridemia. Individuals with two or more risk behaviors in occupational PA category are more likely to be hypertensive (3.04 times) and diabetes (3.44 times). For the free time PA category, these individuals were 3.18 times more likely to have hypercholesterolemia and for locomotion PA, more likely to be hypertensive (2.42 times) and obese (2.51 times).

CONCLUSION

There are association between the aggregation of two or more risk behaviors and the presence of cardiovascular RF.

摘要

背景

我们旨在验证公立大学员工中不同类型身体活动(PA)的风险行为聚集与心血管危险因素(RF)存在之间的关联。

方法

我们分析了376名员工的数据,在他们的工作场所对其进行体重、身高测量并通过问卷调查来识别风险行为和危险因素。采用卡方检验分析自变量与因变量之间的关联,并使用二元逻辑回归构建观察到的关联的多变量模型。

结果

发现在不同类型PA中所考虑的以下风险行为聚集之间存在关联:吸烟、饮酒和身体活动不足,以及除高甘油三酯血症外的RF增加。在职业PA类别中有两种或更多风险行为的个体患高血压的可能性更高(3.04倍)和患糖尿病的可能性更高(3.44倍)。对于休闲时间PA类别,这些个体患高胆固醇血症的可能性高3.18倍,对于出行PA,患高血压的可能性更高(2.42倍)和肥胖的可能性更高(2.51倍)。

结论

两种或更多风险行为的聚集与心血管RF的存在之间存在关联。