{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,9]],"date-time":"2026-10-09T15:54:18Z","timestamp":1791561258676,"version":"4.3.4"},"reference-count":30,"publisher":"Walter de Gruyter GmbH","issue":"8","license":[{"start":{"date-parts":[[2026,8,27]],"date-time":"2026-08-27T00:00:00Z","timestamp":1787788800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,10,26]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec id=\"j_jpm-2026-0207_abs_001\">\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>To investigate the association between a composite multidimensional compliance score and glycemic control, maternal complications, and neonatal outcomes in women with gestational diabetes mellitus (GDM), and to evaluate these associations after adjusting for potential confounders.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"j_jpm-2026-0207_abs_002\">\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This retrospective cohort study included 360 women with GDM, diagnosed between October 2023 and January 2026 at Guiyang Second People\u2019s Hospital. A weighted compliance score (1\u20133) was calculated based on blood glucose monitoring, diet, physical activity, prenatal visits, and medication adherence. Participants were grouped by compliance: high, moderate, and low. Multivariate logistic regression adjusted for age, BMI, insulin use, and mobile health app use, with multiple comparisons corrected using the Benjamini-Hochberg method.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"j_jpm-2026-0207_abs_003\">\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Most baseline demographic and clinical characteristics were comparable across compliance groups, though insulin therapy use,and mobile health application utilization differed significantly. Glycemic target achievement differed markedly: 76.23\u202f% in the high-compliance group vs. 22.46\u202f% in moderate and 2.00\u202f% in low compliance. Third-trimester HbA\n                      <jats:sub>1c<\/jats:sub>\n                      was significantly lower in the high-compliance group (5.45\u202f%\u00a0\u00b1\u00a00.30\u202f%) compared with moderate (5.75\u202f%\u00a0\u00b1\u00a00.34\u202f%) and low (6.04\u202f%\u00a0\u00b1\u00a00.46\u202f%) group. In multivariate logistic regression, low compliance was independently associated with increased odds of macrosomia, large-for-gestational-age, preterm birth, and neonatal intensive care unit admission compared with high compliance (all p&lt;0.01). Gestational weight gain was inversely associated with compliance\u00a0level.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"j_jpm-2026-0207_abs_004\">\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Higher compliance with multiple GDM management strategies was associated with better blood sugar control and fewer maternal and neonatal complications, highlighting the value of comprehensive, integrated\u00a0care.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1515\/jpm-2026-0207","type":"journal-article","created":{"date-parts":[[2026,8,26]],"date-time":"2026-08-26T16:55:56Z","timestamp":1787763356000},"page":"1305-1318","source":"Crossref","is-referenced-by-count":0,"title":["Multidimensional compliance and outcomes in gestational diabetes"],"prefix":"10.1515","volume":"54","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-8646-1500","authenticated-orcid":false,"given":"Weili","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Public Health and Health, Guizhou Medical University, Key Laboratory of Environmental Pollution and Disease Surveillance of the Ministry of Education , Guiyang , Guizhou , China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qingqing","family":"Gong","sequence":"additional","affiliation":[{"name":"Pediatric Health Department , Wudang District People\u2019s Hospital , Guiyang , Guizhou , China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yan","family":"Zhu","sequence":"additional","affiliation":[{"name":"School of Public Health and Health, Guizhou Medical University, Key Laboratory of Environmental Pollution and Disease Surveillance of the Ministry of Education , Guiyang , Guizhou , China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"374","published-online":{"date-parts":[[2026,8,27]]},"reference":[{"key":"2026100915172382424_j_jpm-2026-0207_ref_001","unstructured":"Will, JS, Crellin, H. 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