Kjellenberg Karin, Helgadóttir Björg, Ekblom Örjan, Nyberg Gisela
Department of Physical Activity and Health, The Swedish School of Sport and Health Sciences, Stockholm, Sweden.
Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Acta Paediatr. 2025 Jul;114(7):1691-1701. doi: 10.1111/apa.70024. Epub 2025 Feb 13.
Investigate the longitudinal relationship between physical activity, organised physical activity, fitness, screen time and academic performance among Swedish adolescents.
Data from 1139 adolescents at age 13, included vigorous physical activity (accelerometry), fitness (submaximal ergometer test), screen time and organised physical activity participation (self-reported) and academic performance (math and Swedish grades at ages 13 and 16 from registry). Academic performance at age 16 was categorised as A-D (higher grades or pass) or E, F (fail or at-risk of failing). Multilevel logistic regression models were used to examine the relationships while adjusting for gender, parental education, parental country of birth and academic performance at age 13.
Higher fitness at age 13 was associated with increased odds of receiving A-D at age 16 (OR: 1.04 per mL, 99% CI 1.00, 1.07, p = 0.003). High screen time during weekdays was associated with reduced odds (OR: 0.40, 99% CI 0.20, 0.81, p = 0.001) compared to low screen time.
Academic performance at the end of compulsory school (age 16) was related to fitness and screen time 3 years earlier. These findings create a paradigm for future randomised controlled trials to explore how influencing these factors might affect academic performance.
研究瑞典青少年的身体活动、有组织的体育活动、健康状况、屏幕使用时间与学业成绩之间的纵向关系。
来自1139名13岁青少年的数据,包括剧烈身体活动(加速度计测量)、健康状况(次极量测力计测试)、屏幕使用时间、有组织的体育活动参与情况(自我报告)以及学业成绩(来自登记处的13岁和16岁时的数学和瑞典语成绩)。16岁时的学业成绩分为A - D(较高成绩或及格)或E、F(不及格或有不及格风险)。使用多水平逻辑回归模型来检验这些关系,同时对性别、父母教育程度、父母出生国家以及13岁时的学业成绩进行了调整。
13岁时较高的健康水平与16岁时获得A - D成绩的几率增加相关(比值比:每毫升1.04,99%置信区间1.00,1.07,p = 0.003)。与低屏幕使用时间相比,工作日高屏幕使用时间与较低几率相关(比值比:0.40,99%置信区间0.20,0.81,p = 0.001)。
义务教育结束时(16岁)的学业成绩与3年前的健康状况和屏幕使用时间有关。这些发现为未来的随机对照试验创造了一个范例,以探索影响这些因素如何可能影响学业成绩。