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Literature screening was conducted according to inclusion and exclusion criteria, then data extraction of region, sample size, age, follow\u2010up time, risk predictors, outcome indicators, etc., and quality evaluation of The Newcastle\u2010Ottawa Scale were conducted by two researchers while the third researcher makes decisions if there are disagreements. Finally, Revman5.4 and StataMP17 were used for meta\u2010analysis.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>A total of 29 studies were included, and the results showed that insulin pump [Weighed mean difference (WMD)\u2009=\u2009\u2212.48, 95% CI (\u2212.73, \u2212.24), <jats:italic>p<\/jats:italic>\u2009&lt;\u2009.01], high\u2010frequency sensor monitoring, early use of insulin pumps, prospective follow\u2010up male, white race, large body mass index\u2010standardised scoring, conscientiousness, agreeableness of mothers, eicosapentaenoic acid, leucine and protein (<jats:italic>p<\/jats:italic>\u2009&lt;\u2009.05) were beneficial for reducing HbA1c levels in children and adolescents with diabetes. Ketoacidosis [WMD\u2009=\u2009.39, 95% CI (.28, .50), <jats:italic>p<\/jats:italic>\u2009&lt;\u2009.01], selective admission, higher HbA1c level at one time (<jats:italic>p<\/jats:italic>\u2009&lt;\u2009.01), higher glutamate decarboxylase antibody at 1\u2009month after diagnosis, lower socio\u2010economic status, non\u2010living with biological parents, non\u2010two\u2010parent family, family disorder, family history of diabetes and high carbohydrate intake (<jats:italic>p<\/jats:italic>\u2009&lt;\u2009.05) increased HbA1c levels in children and adolescents with diabetes.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>For children and adolescents with type 1 diabetes mellitus, the use of insulin pump, high\u2010frequency sensor monitoring, prospective follow\u2010up, good family support and reasonable diet are conducive to blood glucose control, while selective admission and DKA are not. Disease characteristics and demographic characteristics of children are closely related to subsequent blood glucose control, and the relationship between diagnosis age and blood glucose control needs to be further explored.<\/jats:p><\/jats:sec>","DOI":"10.1111\/jocn.17110","type":"journal-article","created":{"date-parts":[[2024,4,25]],"date-time":"2024-04-25T11:09:20Z","timestamp":1714043360000},"page":"2412-2426","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Risk predictors of glycaemic control in children and adolescents with type 1 diabetes: A systematic review and meta\u2010analysis"],"prefix":"10.1111","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-8897-4744","authenticated-orcid":false,"given":"Gao","family":"Gangqiang","sequence":"first","affiliation":[{"name":"School of Nursing Peking University  Beijing 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