Do children's expectations about future physical activity predict their physical activity in adulthood?

Do children's expectations about future physical activity predict their physical activity in adulthood?
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儿童对未来体育锻炼的期望是否可以预测他们成年后的体育锻炼?

DOI:
10.1093/ije/dyaa131
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发表时间:
2020-10-01
影响因子:
7.7
通讯作者:
Goodman A
Goodman A
中科院分区:
医学1区
文献类型:
--
作者:
Pongiglione B;Kern ML;Carpentieri JD;Schwartz HA;Gupta N;Goodman A

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大部分人口未能达到推荐的身体活动(PA)水平,但仍存在相当大的个体差异。通过了解不同轨迹的驱动因素,干预措施可以更有针对性和更有效。一个这样的驱动因素可能是一个人的身体活动身份(派)-一个人将PA视为他们是谁的核心的程度。使用调查信息和一个独特的机构的文章写在11岁的国家儿童发展研究(N = 10 500),文章提到PA自动识别使用机器学习技术支持向量分类和PA轨迹估计使用潜在类分析。分析测试了儿童派与23岁至55岁期间活动水平以及成年期轨迹的相关程度。42.2%的男性和33.5%的女性在他们的文章中提到了PA,描述了主动和/或被动的参与。儿童期活动性派与男性活动水平较高相关,但与女性活动水平无关,并且与两种性别的持续活动性PA轨迹相关。无论男女,被动派与PA均不相关。这项研究提供了一种新的方法来分析大型定性数据集,以评估身份和行为。研究结果表明,在11岁时,年轻人将活动概念化作为其身份的一部分的方式与行为有着持久的联系。尽管如此,一个积极的身份可能需要一个支持性的社会文化背景,以体现在随后的行为。
Much of the population fails to meet recommended physical activity (PA) levels, but there remains considerable individual variation. By understanding drivers of different trajectories, interventions can be better targeted and more effective. One such driver may be a person’s physical activity identity (PAI)—the extent to which a person perceives PA as central to who they are. Using survey information and a unique body of essays written at age 11 from the National Child Development Study (N = 10 500), essays mentioning PA were automatically identified using the machine learning technique support vector classification and PA trajectories were estimated using latent class analysis. Analyses tested the extent to which childhood PAI correlated with activity levels from age 23 through 55 and with trajectories across adulthood. 42.2% of males and 33.5% of females mentioned PA in their essays, describing active and/or passive engagement. Active PAI in childhood was correlated with higher levels of activity for men but not women, and was correlated with consistently active PA trajectories for both genders. Passive PAI was not related to PA for either gender. This study offers a novel approach for analysing large qualitative datasets to assess identity and behaviours. Findings suggest that at as young as 11 years old, the way a young person conceptualizes activity as part of their identity has a lasting association with behaviour. Still, an active identity may require a supportive sociocultural context to manifest in subsequent behaviour.
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