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Anthropometric indices [BMI, BMI Z-score, waist-to-height ratio (WHtR)] and body composition [fat mass (FM), FM%, fat mass index (FMI)], assessed using bioelectrical impedance analysis, were obtained. Hemoglobin A1c and glucose sensor metrics, including time in range (TIR), were used to assess glycemic control. Associations between variables were analyzed using Spearman\u2019s correlation. Logistic regression models were run to identify independent predictors of HbA1c\u2009&lt;\u20097.0% and TIR\u2009&gt;\u200970%, with FMI, WHtR, total daily insulin dose per kg (TDD), treatment modalities, sex, age, diabetes duration, and pubertal stage as independent variables.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Adiposity measures (FMI, FM%, and WHtR) were positively associated with HbA1c and negatively with TIR in both sexes. Logistic regression showed that HbA1c\u2009&lt;\u20097% and TIR\u2009&gt;\u200970% were significantly predicted by FMI [OR(95%CI): 0.822(0.704\u20130.960),\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.013, and 0.807(0.681\u20130.955),\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.012, respectively] and WHtR(x100) [OR(95%CI): 0.927(0.874\u20130.983),\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.013, and 0.923(0.866\u20130.985),\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.015, respectively], independently of TDD,\n                      <jats:italic>sex<\/jats:italic>\n                      , treatment modalities and the other independent variables.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>\n                      Body adiposity negatively impacts glycemic control in children and adolescents with T1D, independent of\n                      <jats:italic>sex and<\/jats:italic>\n                      insulin treatment modalities. Despite technological advances in diabetes care, excess adiposity is emerging as a key modifiable factor associated with poorer glycemic outcomes and,\n                      <jats:italic>consequently<\/jats:italic>\n                      ,\n                      <jats:italic>poorer<\/jats:italic>\n                      long-term health in children and adolescents with T1D.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1007\/s00592-026-02643-2","type":"journal-article","created":{"date-parts":[[2026,1,31]],"date-time":"2026-01-31T06:39:15Z","timestamp":1769841555000},"page":"665-675","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Relationship between body adiposity and glycemic control in children and adolescents with type 1 diabetes"],"prefix":"10.1007","volume":"63","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3563-4404","authenticated-orcid":false,"given":"Claudio","family":"Maffeis","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-2608-6139","authenticated-orcid":false,"given":"Ilaria","family":"Fierri","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Elisa","family":"Morotti","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Erika","family":"Caiazza","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Quincy","family":"Pedranzini","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3232-8807","authenticated-orcid":false,"given":"Marco","family":"Marigliano","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5168-8317","authenticated-orcid":false,"given":"Claudia","family":"Piona","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,1,31]]},"reference":[{"issue":"6","key":"2643_CR1","doi-asserted-by":"publisher","first-page":"546","DOI":"10.1159\/000543266","volume":"97","author":"M de Bock","year":"2024","unstructured":"de Bock M, Agwu JC, Deabreu M, Dovc K, Maahs DM, Marcovecchio ML, Mahmud FH, N\u00f3voa-Medina Y, Priyambada L, Smart CE, DiMeglio LA (2024) International society for pediatric and adolescent diabetes clinical practice consensus guidelines 2024: glycemic targets. 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MM has received honoraria for lectures from Theras, Novo Nordisk, Ypsomed, and Medtronic, has been supported by Movi and Abbott for attending meetings, and has participated in Data Monitoring for Movi. CP has received honoraria for lectures from Sanofi and has been endorsed for attending meetings from Movi and Abbott. IF, EM, EC, and QP have no potential conflict of interest to declare.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}