Use of latent class analysis as a method of assessing the physical activity level, sedentary behavior and nutritional habit in the adolescents' lifestyle: A scoping review.

Use of latent class analysis as a method of assessing the physical activity level, sedentary behavior and nutritional habit in the adolescents' lifestyle: A scoping review.
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DOI:
10.1371/journal.pone.0256069
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发表时间:
2021
期刊:
影响因子:
3.7
通讯作者:
Amorim PRDS
Amorim PRDS
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Miranda VPN;Coimbra DR;Bastos RR;Miranda Júnior MV;Amorim PRDS

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目前,青少年的生活方式普遍以缺乏运动、久坐行为和不适当的饮食习惯为特征。在调查青少年人群的生活方式、习惯和行为时,以人为本的方法,如潜在类别分析(LCA),可以比以变量为中心的方法提供更多的洞察力。本研究的目的是评估在使用LCA的研究中,哪些变量最能代表青少年生活方式中的身体活动水平、久坐行为(SB)和营养习惯。确定审核范围。本研究按照系统评价和荟萃分析的建议标准-系统评价和荟萃分析的首选报告项目进行,并在PROSPERO注册(CRD42018108444)。原始文章在MEDLINE/PubMed, Scopus, ScienceDirect, Web of Science, PsycINFO和SPORTdiscus中进行了搜索。质量评估工具分析纳入研究的偏倚风险。入选原创文章30篇。LCA模型评价青少年生活方式最常用的变量为体力活动水平(28项研究)、SB和营养习惯(18项研究)。其中,缺乏运动和高SB是青春期女生负潜类(LCs)中出现频率较高的显性变量。另一方面,体育锻炼和体育运动更常被标记为积极的LCs。大多数被选研究的LCA模型显示,缺乏运动、高SB是青少年生活方式负性特征的LCs中最常见的。更好地理解诸如LCA等多变量行为集群分析的结果,有助于制定更有效的策略,使青少年的生活方式更健康。
Currently, adolescents’ lifestyle is commonly characterized by physical inactivity, sedentary behavior, and inappropriate eating habits in general. A person-oriented approach as Latent Class Analysis (LCA) can offer more insight than a variable-centered approach when investigating lifestyle practices, habits, and behaviors of adolescent population. The aim of the present study was to assess which variables are mostly used to represent the physical activity level, sedentary behavior SB) and nutritional habit in the adolescents’ lifestyle in studies that used the LCA. Scoping review. The study was a performed in accordance with the proposed criteria for systematic reviews and meta-analyses—Preferred Reporting Items for Systematic Reviews and Meta-Analyses and registered in PROSPERO (CRD42018108444). The original articles were searched in MEDLINE/PubMed, Scopus, ScienceDirect, Web of Science, PsycINFO, and SPORTdiscus. The Quality Assessment Tool analyzed the risk of bias of the included studies. 30 original articles were selected. The physical activity level (28 studies), SB and nutritional habits (18 studies) were the most common variable used to evaluate the adolescent’s lifestyle by LCA model. Specifically, physical inactivity and high SB were the manifest variables with higher frequency in the negative latent classes (LCs) in adolescent girls. On the other hand, physical exercises and sports were activities more commonly labeled as positive LCs. The LCA models of the most of selected studies showed that physical inactivity, high SB were the most common in the LCs with negative characteristics of the adolescents’ lifestyle. Better understanding the results of analyzes of clusters of multivariate behaviors such as the LCA can help to create more effective strategies that can make the lifestyle of adolescents healthier.
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