J Exerc Sci Fit. 2024 Oct;22(4):397-405. doi: 10.1016/j.jesf.2024.07.005. Epub 2024 Jul 31.
ABSTRACT
BACKGROUND: Numerous studies examining 24-h movement behaviours have been exponentially published globally. However, no comprehensive reviews summarized and synthesized the evidence on the Chinese population. This review aimed to map the most recent research state and fill the gaps related to 24-h movement behaviours in the Chinese population.
METHODS: Five electronic databases (Web of Science, PubMed, Scopus, EBSCOhost, and CNKI (Chinese database)) were searched from their inceptions through October 2023. Quantitative studies published in English and/or Chinese were included if they were related to 24-h movement behaviours in the Chinese population.
RESULTS: From 9431 documents screened, 53 met the inclusion criteria. All the included studies were published between 2019 and 2023, showing a notable increasing trend over the years. Most studies used cross-sectional designs (96.2 %) and self-reported measures (56.6 %). Nearly all the studies targeted general healthy population (96.2 %), especially children and adolescents (64.2 %). The main three research topics observed were health outcomes (81.1 %), prevalence (66.0 %), and correlates (15.1 %) of 24-h movement behaviours.
CONCLUSION: 24-h movement behaviours in the Chinese population has been an increasingly important research topic in the literature, with predominant focus on children and adolescents (study population), self-report measure (measurement), cross-sectional design (study design), guidelines adherence (study topic), and health outcomes examination (study topic). These findings delineate a research landscape in the Chinese population, and highlight the research gaps needed to be addressed. Future studies are suggested to target these research gaps, expanding evidence base for the Chinese populations. For instance, more studies using device-based measures, longitudinal or interventional designs, as well as qualitative and mixed-methods approaches are required.
PMID:39219863 | PMC:PMC11363828 | DOI:10.1016/j.jesf.2024.07.005
