圣卡塔琳娜州青少年身体活动相关的行为改变阶段:患病率及相关因素

Jaqueline Aragoni da Silva, Kelly Samara da Silva, Adair da Silva Lopes, Markus Vinícius Nahas
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引用次数: 9

摘要

目的验证圣卡塔琳娜州青少年习惯性体育锻炼行为改变阶段的患病率及社会人口和经济因素。方法对《圣卡塔琳娜州青少年行为研究》(CompAC 2)进行二次分析。对2011年圣卡塔琳娜州公立教育系统中15 - 19岁的6529名高中生(男,n= 2903)进行横断面校本研究。采用多项逻辑回归(原始和调整)来衡量相关性。结果维持期患病率最高(43.9%),预观期患病率最低(7.0%)。行动、准备和思考阶段的结果相似:16.2%;17.0%和15.6%;分别。男性青少年在维持阶段的患病率高于女性,在准备阶段、沉思阶段和预沉思阶段的患病率高于女性。所有被评估的变量(性别、年龄、居住地区、就业状况、家庭收入、母亲教育程度和学校年级),除了转学外,都至少与其中一个阶段有关。结论大部分青少年处于被收养前阶段,大部分青少年有开始规律体育活动的意向。除了学校转换,评估的变量以不同的方式与阶段相关联,在每个亚组中显示出与社会人口和经济特征相关的不同概况。
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Behavior change stages related to physical activity in adolescents from Santa Catarina: prevalence and associated factors

Objective

Verify the prevalence and sociodemographic and economic factors associated with behavior change stages for habitual physical activity practice in adolescents from Santa Catarina.

Methods

Secondary analysis of a study on the Behavior of Adolescents from Santa Catarina (CompAC 2). Cross-sectional school-based study of 6,529 high-school students (males, n=2,903) from the state of Santa Catarina public education system in 2011, aged 15 to 19 years. Multinomial logistic regression (crude and adjusted) was used to measure the association.

Results

The highest and lowest prevalence rates were found in the maintenance (43.9%) and precontemplation stages (7.0%), respectively. The stages of action, preparation and contemplation showed similar results: 16.2%; 17.0% and 15.6%; respectively. Male adolescents show higher prevalence in the maintenance stage in relation to females and these show a higher prevalence in preparation, contemplation and precontemplation. All the assessed variables (gender, age, area of residence, employment status, family income, maternal education and school grade), with the exception of school shift, were associated with at least one of the stages.

Conclusions

A large proportion of adolescents are in the pre-adoption stages and most of these have the intention to start regular physical activity. With the exception of school shift, the assessed variables were associated with stages in different ways, showing different profiles in relation to sociodemographic and economic characteristics in each subgroup.

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