Department of Health, Human Performance and Recreation, University of Arkansas, Fayetteville, AR, USA; School of Physiotherapy and Exercise Science, Curtin University, Perth, Western Australia, Australia.
School of Occupational Therapy, Speech Therapy & Social Work, Curtin University, Perth, Western Australia, Australia.
Prev Med. 2020 Oct;139:106224. doi: 10.1016/j.ypmed.2020.106224. Epub 2020 Jul 28.
Physical activity has been associated with physical and mental health across the life course, yet few studies have used group-based trajectory modeling to examine the effect of longitudinal patterns of physical activity during childhood and adolescence on adult health outcomes. The Raine Study data from Gen2 follow-ups at 8, 10, 14, 17, 20, and 22 years collected between 1998 and 2014 were used. Latent class analysis identified trajectories using parent-reported physical activity for ages 8 to 17. Associations between trajectories and physical and mental health outcomes at ages 20 and 22 were explored, adjusting for current physical activity and considering sex interactions. Analysis in 2019 identified three trajectories: low (13%), mid (65%) and high (22%) physical activity (n = 1628). Compared to the low-activity trajectory, those in the high-activity trajectory had lower adiposity, insulin, HOMA-IR and fewer diagnosed disorders, higher HDL-cholesterol, and faster cognitive processing. For example, those in the high-activity trajectory had lower percent body fat at age 20 compared to those in the mid-activity (-4.2%, 95%CI: -5.8, -2.7) and low-activity (-9.5%, 95%CI: -11.7, -7.2) trajectories. Physical activity trajectories showed different associations between sexes for self-reported physical and mental health, BMI, systolic blood pressure, and depression symptoms. Being in the high- or mid-activity trajectory was associated with a more favorable cardiometabolic and mental health profile in young adulthood. Strategies are needed to help less active children to increase physical activity throughout childhood and adolescence to improve young adult health outcomes.
身体活动与整个生命过程中的身心健康都有关系,但很少有研究使用基于群组的轨迹建模来检验儿童和青少年时期身体活动的纵向模式对成年健康结果的影响。本研究使用了 1998 年至 2014 年间收集的 Raine 研究 Gen2 随访的 8、10、14、17、20 和 22 岁时的数据。潜在类别分析使用父母报告的 8 至 17 岁的身体活动来识别轨迹。探讨了轨迹与 20 和 22 岁时身体和心理健康结果之间的关联,同时调整了当前的身体活动,并考虑了性别交互作用。2019 年的分析确定了三个轨迹:低(13%)、中(65%)和高(22%)身体活动(n=1628)。与低活动轨迹相比,高活动轨迹的肥胖、胰岛素、HOMA-IR 较低,诊断出的疾病较少,HDL-胆固醇较高,认知处理速度较快。例如,高活动轨迹的人在 20 岁时的体脂百分比低于中活动轨迹(-4.2%,95%CI:-5.8,-2.7)和低活动轨迹(-9.5%,95%CI:-11.7,-7.2)。身体活动轨迹在男性和女性之间对自我报告的身体和心理健康、BMI、收缩压和抑郁症状的关联不同。处于高或中活动轨迹与年轻成年人更有利的心血管代谢和心理健康状况相关。需要制定策略来帮助不活跃的儿童在整个儿童和青少年时期增加身体活动,以改善年轻成年人的健康结果。