{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T02:51:09Z","timestamp":1777431069963,"version":"3.51.4"},"reference-count":33,"publisher":"SAGE Publications","issue":"2-3","license":[{"start":{"date-parts":[[2024,12,25]],"date-time":"2024-12-25T00:00:00Z","timestamp":1735084800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Asia Pac J Public Health"],"published-print":{"date-parts":[[2025,3]]},"abstract":"<jats:p>\n                    Gestational diabetes mellitus (GDM) is a major global health concern, affecting maternal and child health. Although genetic predispositions and individual medical histories are well-recognized risk factors, emerging research suggests a significant impact of external factors like neighborhood socioeconomic characteristics. This study systematically reviews and meta-analyzes the association between neighborhood deprivation and GDM incidence. We searched multiple databases up to January 10, 2024, for studies linking neighborhood deprivation with GDM. Eligible studies were selected based on predefined criteria, with the Nested Knowledge software assisting in screening and data extraction. Quality assessment utilized the Newcastle-Ottawa Scale, and a random-effects model computed the pooled relative risk (RR) using R software, version 4.3. The review included six studies varying significantly in design, sample sizes, and deprivation assessment methods. The meta-analysis combined data from five studies totaling 15\u2009827 participants from the least deprived and 18\u2009147 from the most deprived neighborhoods, yielding an RR of 0.909, indicating a non-significant lower risk of GDM in more deprived groups. A substantial heterogeneity (I\n                    <jats:sup>2<\/jats:sup>\n                    = 70%) was observed, and sensitivity analysis confirmed the robustness of these findings. This analysis suggests that living in a deprived neighborhood does not significantly alter GDM risk, underscoring the necessity for further research to refine public health strategies and interventions. The variability in neighborhood deprivation definitions and potential unaccounted confounding factors highlight the need for comprehensive studies, especially from low-income and middle-income countries, to elucidate the intricate links between socioeconomic factors and GDM.\n                  <\/jats:p>","DOI":"10.1177\/10105395241305671","type":"journal-article","created":{"date-parts":[[2024,12,25]],"date-time":"2024-12-25T04:39:22Z","timestamp":1735101562000},"page":"200-207","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Association Between Neighborhood Deprivation and Gestational Diabetes: A Systematic Review and Meta-Analysis"],"prefix":"10.1177","volume":"37","author":[{"given":"Arathi P.","family":"Rao","sequence":"first","affiliation":[{"name":"Department of Health Policy, Prasanna School of Public Health, Manipal Academy of Higher Education, Manipal, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mahalaqua Nazli","family":"Khatib","sequence":"additional","affiliation":[{"name":"Division of Evidence Synthesis, Global Consortium of Public Health and Research, Datta Meghe Institute of Higher Education, Wardha, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5662-1410","authenticated-orcid":false,"given":"Lakshmi","family":"Thangavelu","sequence":"additional","affiliation":[{"name":"Center for Global Health Research, Saveetha Medical College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rangaswamy","family":"Roopashree","sequence":"additional","affiliation":[{"name":"Department of Chemistry and Biochemistry, School of Sciences, JAIN (Deemed to be University), Bangalore, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pawan","family":"Sharma","sequence":"additional","affiliation":[{"name":"Department of Sciences, Vivekananda Global University, Jaipur, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Madan","family":"Lal","sequence":"additional","affiliation":[{"name":"Department of Medicine, NIMS University, Jaipur, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Amit","family":"Barwl","sequence":"additional","affiliation":[{"name":"Chandigarh Pharmacy College, Chandigarh Group of College, Mohali, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Garbham Venkata Siva","family":"Prasad","sequence":"additional","affiliation":[{"name":"Department of Chemistry, Raghu Engineering College, Visakhapatnam, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pranchal","family":"Rajput","sequence":"additional","affiliation":[{"name":"Division of Research and Innovation, School of Applied and Life Sciences, Uttaranchal University, Dehradun, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Quazi Syed","family":"Zahiruddin","sequence":"additional","affiliation":[{"name":"South Asia Infant Feeding Research Network (SAIFRN), Division of Evidence Synthesis, Global Consortium of Public Health and Research, Datta Meghe Institute of Higher Education, Wardha, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-5017-083X","authenticated-orcid":false,"given":"Sanjit","family":"Sah","sequence":"additional","affiliation":[{"name":"Department of Paediatrics, Dr. D. 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