{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,12]],"date-time":"2026-10-12T23:34:26Z","timestamp":1791848066441,"version":"4.3.4"},"reference-count":41,"publisher":"Wiley","issue":"7","license":[{"start":{"date-parts":[[2023,4,24]],"date-time":"2023-04-24T00:00:00Z","timestamp":1682294400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J intellect Disabil Res"],"published-print":{"date-parts":[[2023,7]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>Meeting 24\u2010h movement guidelines for children and adolescents has been associated with improved health indicators. However, the literature examining adherence to 24\u2010h movement guidelines among Chinese children and adolescents with intellectual disability (ID) remains lacking. This study aims to investigate the prevalence of meeting the 24\u2010h movement guidelines and its socio\u2010demographic correlates for this population.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>The sample includes 319 Chinese students with ID. Accelerometers are used to measure moderate\u2010to\u2010vigorous physical activity time and sleep duration. Questionnaires are adopted to measure screen time (ST) and demographic factors. Associations among socio\u2010demographic factors, body mass index and 24\u2010h movement are analysed by using multivariable logistic regressions.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The proportions of participants who meet none, moderate\u2010to\u2010vigorous physical activity, ST, sleep duration and all three recommendations are 8.15%, 33.54%, 54.23%, 75.55% and 17.55%, respectively. In general, multivariable logistic regression analysis indicates that older participants are less likely to meet the ST guidelines [odds ratio (OR): 0.931; 95% confidence interval (CI): 0.869\u20130.998] and more likely to meet the sleep guidelines (OR: 1.106; 95% CI: 1.016\u20131.204) than younger individuals. Participants with moderate ID are less likely to meet the sleep guidelines (OR: 0.345; 95% CI: 0.140\u20130.850) than those with profound ID. Individuals from families with middle\u2010income (OR: 0.434; 95% CI: 0.226\u20130.836) and high\u2010income (OR: 0.219; 95% CI: 0.080\u20130.605) levels were less likely to meet the physical activity guidelines than those from low\u2010income families. Furthermore, participants from high\u2010income families were less likely to meet ST (OR: 0.426; 95% CI: 0.187\u20130.969) and all three movement guidelines (OR: 0.083; 95% CI: 0.010\u20130.659) than those in the low household income groups.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Interventions that improve the health\u2010related behaviours of children and adolescents with ID are needed, particularly those that target their increased engagement in physical activity.<\/jats:p><\/jats:sec>","DOI":"10.1111\/jir.13035","type":"journal-article","created":{"date-parts":[[2023,4,24]],"date-time":"2023-04-24T08:55:19Z","timestamp":1682326519000},"page":"668-678","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Adherence to 24\u2010h movement guidelines among Chinese children and adolescents with intellectual disabilities"],"prefix":"10.1111","volume":"67","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3589-197X","authenticated-orcid":false,"given":"W. H.","family":"Xu","sequence":"first","affiliation":[{"name":"College of Physical Education and Health Sciences Zhejiang Normal University  Jinhua Zhejiang Province China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"L. J.","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Physical Education Shanghai University of Sport  Shanghai China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2023,4,24]]},"reference":[{"key":"e_1_2_11_2_1","doi-asserted-by":"publisher","DOI":"10.1177\/1744629511430772"},{"key":"e_1_2_11_3_1","volume-title":"Diagnostic and Statistical Manual of Mental Disorders: DSM\u20105","author":"American Psychiatric Association","year":"2016"},{"key":"e_1_2_11_4_1","doi-asserted-by":"publisher","DOI":"10.1249\/01.mss.0000170073.57440.df"},{"key":"e_1_2_11_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.dhjo.2020.100980"},{"key":"e_1_2_11_6_1","doi-asserted-by":"publisher","DOI":"10.1249\/MSS.0000000000000486"},{"key":"e_1_2_11_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jshs.2020.07.002"},{"key":"e_1_2_11_8_1","unstructured":"Chinese National Bureau of Statistics(2007)Chinese Second National Sampling Survey. 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