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Distinct trajectories of physical activity and related factors during the life course in the general population: a systematic review

机译:一般人群生命课程中的实物活动和相关因素的独特轨迹:系统审查

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In recent years, researchers have begun applying a trajectory approach to identify homogeneous subgroups of physical activity (PA) in heterogeneous populations. This study systematically reviewed the articles identifying longitudinal PA trajectory classes and the related factors (e.g., determinants, predictors, and?outcomes) in the general population during different life phases. The included studies used finite mixture models for identifying trajectories of PA, exercise, or sport participation. Three electronic databases, PubMed (Medline), Web of Science, and CINAHL, were searched from the year 2000 to 13 February 2018. The study was conducted according to the PRISMA recommendations. Twenty-seven articles were included and organized into three age group: youngest (eleven articles), middle (eight articles), and oldest (eight articles). The youngest group consisted mainly of youth, the middle group of adults and the oldest group of late middle-aged and older adults. Most commonly, three or four trajectory classes were reported. Several trajectories describing a decline in PA were reported, especially in the youngest group, whereas trajectories of consistently increasing PA were observed in the middle and oldest group. While the proportion of persistently physically inactive individuals increased with age, the proportion was relatively high at all ages. Generally, male gender, being Caucasian, non-smoking, having low television viewing time, higher socioeconomic status, no chronic illnesses, and family support for PA were associated either with persistent or increasing PA. The reviewed articles identified various PA subgroups, indicating that finite mixture modeling can yield new information on the complexity of PA behavior compared to studying population mean PA level only. The studies also provided novel information how different factors relate to changes in PA during life course. The recognition of the PA subgroups and their determinants is important for the more precise targeting of PA promotion and PA interventions. PROSPERO registration number: CRD42018088120 .
机译:近年来,研究人员已经开始涂抹一种轨迹方法来鉴定异质群体的均匀亚组(PA)。本研究系统地审查了在不同寿命期间识别纵向PA轨迹类的文章和综合群体中的相关因素(例如,决定因素,预测因子和?结果)。附录的研究使用了有限的混合模型来识别PA,运动或运动参与的轨迹。从2000年到2018年2月13日,我们搜索了三个电子数据库,PubMed(Medline),科学网站和Cinahl。该研究是根据PRISMA建议进行的。包括二十七篇文章并组织成三个年龄组:最小(十一条),中间(八篇文章)和最古老(八篇文章)。最年轻的团体主要包括青年,中间集团,中间集团,最古老的中年和老年人。最常见的是,报告了三个或四个轨迹课程。据报道了一些描述PA下降的轨迹,特别是在最年轻的群体中,而在最常见的群体中观察到始终如一地增加PA的轨迹。虽然随着年龄的增长,持续的身体不活跃的个体的比例增加,但在所有年龄段的比例相对较高。一般来说,男性性别,是高加索人,禁烟,具有低电平观看时间,更高的社会经济地位,没有慢性疾病以及对PA的家庭支持都与持久性或增加的PA相关联。综述文章鉴定了各种PA子组,表明有限的混合物建模可以产生关于PA行为的复杂性的新信息,而与学习人口仅为PA平均值。该研究还提供了新颖的信息不同因素如何与寿命过程中PA的变化有关。识别PA亚组及其决定因素对于PA促销和PA干预更精确的靶向是重要的。 Prospero注册号:CRD42018088120。

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