{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,19]],"date-time":"2025-12-19T12:24:07Z","timestamp":1766147047477,"version":"3.48.0"},"reference-count":49,"publisher":"Cambridge University Press (CUP)","license":[{"start":{"date-parts":[[2025,12,19]],"date-time":"2025-12-19T00:00:00Z","timestamp":1766102400000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/www.cambridge.org\/core\/terms"}],"content-domain":{"domain":["cambridge.org"],"crossmark-restriction":true},"short-container-title":["J Dev Orig Health Dis"],"published-print":{"date-parts":[[2026]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Several studies have been published studying association between parental low birth weight (BW) and neonatal outcomes of their children. To date no systematic review and meta-analysis (SRM) has been published to quantify the impact of maternal and paternal BW on outcomes in the next generation. The aim of this SRM was to analyse the association between parental BW and anthropometric and metabolic outcomes in their children.<\/jats:p>\n                  <jats:p>Electronic databases were searched for studies documenting BW of parents and children with neonatal outcomes. Primary outcome was to evaluate impact of parental BW on occurrence of\u00a0LBW in children. Secondary outcomes were to assess impact of parental BW on occurrence of macrosomia, small for gestational age (SGA), preterm labour\/delivery, and burden of non-communicable disease in later life.<\/jats:p>\n                  <jats:p>\n                    We screened 54,961 articles, data from 14 studies (320,515 parent\u2013child pairs), which fulfilled all criteria, were analysed. Maternal LBW was associated with higher chances of neonatal LBW [odds ratio (OR)1.95 (95% CI:1.56\u20132.46);\n                    <jats:italic>P<\/jats:italic>\n                    &lt; 0.01;\n                    <jats:italic>I<\/jats:italic>\n                    <jats:sup>2<\/jats:sup>\n                    = 91%], neonatal SGA [OR 2.29(95% CI:1.72\u20133.05);\n                    <jats:italic>P<\/jats:italic>\n                    &lt; 0.01;\n                    <jats:italic>I<\/jats:italic>\n                    <jats:sup>2<\/jats:sup>\n                    = 37%], lower chances of neonatal macrosomia [OR 0.50 (95% CI:0.39\u20130.65);\n                    <jats:italic>P<\/jats:italic>\n                    &lt; 0.01;\n                    <jats:italic>I<\/jats:italic>\n                    <jats:sup>2<\/jats:sup>\n                    = 35%] and had no impact on preterm labour\/delivery [OR1.20(95% CI:0.67\u20132.16);\n                    <jats:italic>P<\/jats:italic>\n                    = 0.53;\n                    <jats:italic>I<\/jats:italic>\n                    <jats:sup>2<\/jats:sup>\n                    = 88%]. Maternal macrosomia was associated with higher neonatal macrosomia [OR 2.66 (95% CI:2.44\u20133.16);\n                    <jats:italic>P<\/jats:italic>\n                    &lt; 0.01;\n                    <jats:italic>I<\/jats:italic>\n                    <jats:sup>2<\/jats:sup>\n                    = 48%], lower SGA [OR 0.40(95% CI:0.29\u20130.53);\n                    <jats:italic>P<\/jats:italic>\n                    &lt; 0.01;\n                    <jats:italic>I<\/jats:italic>\n                    <jats:sup>2<\/jats:sup>\n                    = 0%] and preterm labour\/delivery [OR 0.77 (95% CI:0.63\u20130.94);\n                    <jats:italic>P<\/jats:italic>\n                    &lt; 0.01;\n                    <jats:italic>I<\/jats:italic>\n                    <jats:sup>2<\/jats:sup>\n                    = 4%]. Paternal but not maternal LBW was predictor of metabolic syndrome and diabetes in adulthood.\n                  <\/jats:p>\n                  <jats:p>Maternal LBW is an important predictor of LBW and SGA in neonates. Maternal macrosomia is an important predictor of neonatal macrosomia; is protective against SGA and preterm labour\/childbirth. Neonatal size of parents is reflected in neonatal size of their children.<\/jats:p>","DOI":"10.1017\/s2040174425100366","type":"journal-article","created":{"date-parts":[[2025,12,19]],"date-time":"2025-12-19T12:21:10Z","timestamp":1766146870000},"update-policy":"https:\/\/doi.org\/10.1017\/policypage","source":"Crossref","is-referenced-by-count":0,"title":["Parental birth weight as a predictor of neonatal and childhood outcomes in children: a systematic review and meta-analysis"],"prefix":"10.1017","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4915-8805","authenticated-orcid":false,"given":"Deep","family":"Dutta","sequence":"first","affiliation":[{"name":"Center for Endocrinology Diabetes Arthritis & Rheumatism (CEDAR) Superspeciality Healthcare"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lakshmi","family":"Nagendra","sequence":"additional","affiliation":[{"name":"JSS Academy of Higher Education & Research"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Saptarshi","family":"Bhattacharya","sequence":"additional","affiliation":[{"name":"Indraprastha Apollo Hospitals"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"A.B.M.","family":"Kamrul-Hasan","sequence":"additional","affiliation":[{"name":"Mymensingh Medical College"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2911-2378","authenticated-orcid":false,"given":"Chittaranjan Sakerlal","family":"Yajnik","sequence":"additional","affiliation":[{"name":"King Edward Memorial 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