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Physical Activity in Young Adults: A Signal Detection Analysis of Health Information National Trends Survey (HINTS) 2007 Data

机译:青少年的体育活动:健康信息国家趋势调查(HINTS)2007数据的信号检测分析

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Many young adults are insufficiently active to achieve the health benefits of regular physical activity. Using signal detection analysis of data from the 2007 Health Information National Trends Survey, the authors examined distinct subgroups of 18-39 year-old adults who vary in their likelihood of not meeting physical activity recommendations. We randomly split the sample and conducted signal detection analysis on the exploratory half to identify subgroups and interactions among sociodemographic and health communication variables that predicted engaging in less than 150 minutes per week of moderate-intensity physical activity (low physical activity). We compared rates of low physical activity among subgroups with similarly defined subgroups in the validation sample. Overall, 62% of participants did not meet physical activity recommendations. Among 8 subgroups identified, low physical activity rates ranged from 31% to 90%. Predictors of low physical activity were general health, body mass index (BMI), perceived cancer risk, health-related Internet use, and trust in information sources. The least active subgroup (90% low physical activity) included young adults in poor to good health with a BMI of 30.8 or more (obese). The most active subgroup (31% low physical activity) comprised those in very good to excellent health, who used a website to help with diet, weight, or physical activity, and had little to no trust in health information on television. Findings suggest potential intervention communication channels and can inform targeted physical activity interventions for young adults.
机译:许多年轻人缺乏足够的运动能力,无法实现定期体育锻炼的健康益处。通过对2007年健康信息国家趋势调查的数据进行信号检测分析,作者检查了18-39岁成年人的不同亚组,这些亚组在不符合体育锻炼建议的可能性方面存在差异。我们将样本随机分成几部分,并在探索性的一半进行信号检测分析,以识别预测在每周少于150分钟的中等强度体育活动(低体育活动)中参与的社会人口学和健康交流变量之间的亚组和相互作用。我们比较了验证样本中亚组与相似定义的亚组之间低体育活动的发生率。总体而言,有62%的参与者未达到体育锻炼建议。在确定的8个亚组中,低体育活动率介于31%至90%之间。运动量低的预测因素是总体健康,体重指数(BMI),感知的癌症风险,与健康相关的互联网使用以及对信息源的信任。最不活跃的亚组(90%的低体力活动)包括身体状况差至良好且BMI为30.8或更高(肥胖)的年轻人。最活跃的亚人群(31%的低体力活动)包括健康状况良好至极佳的人群,他们使用网站帮助饮食,体重或体育锻炼,对电视上的健康信息几乎不信任。研究结果提示了潜在的干预交流渠道,可以为年轻人提供有针对性的体育锻炼干预措施。

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