https://ogma.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:48511 n = 321,223) and offspring birth weight (n = 230,069 mothers), we identified 190 independent association signals (129 of which are novel). We used structural equation modeling to decompose the contributions of direct fetal and indirect maternal genetic effects, then applied Mendelian randomization to illuminate causal pathways. For example, both indirect maternal and direct fetal genetic effects drive the observational relationship between lower birth weight and higher later blood pressure: maternal blood pressure-raising alleles reduce offspring birth weight, but only direct fetal effects of these alleles, once inherited, increase later offspring blood pressure. Using maternal birth weight-lowering genotypes to proxy for an adverse intrauterine environment provided no evidence that it causally raises offspring blood pressure, indicating that the inverse birth weight-blood pressure association is attributable to genetic effects, and not to intrauterine programming.]]> Wed 22 Mar 2023 15:25:15 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:51835 Wed 20 Sep 2023 11:16:44 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:42381 Wed 13 Mar 2024 09:40:58 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:14937 Wed 11 Apr 2018 14:10:59 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:9325 Sat 24 Mar 2018 08:33:54 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:28120 Sat 24 Mar 2018 07:24:57 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:23372 Sat 24 Mar 2018 07:16:31 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:35704 Fri 25 Oct 2019 14:37:26 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:40166 50% among nine studies. Among underweight women, the percentage of women who gained inadequate gestational weight ranged from 67% to 98%. Only two studies were included in the meta-analyses to evaluate the association of gestational weight gain with pre-eclampsia and macrosomia. No difference was observed among women who gained inadequate and adequate gestational weight regarding experiencing pre-eclampsia (RR, 0.71; 95% CI: 0.22, 2.28, P = 0.57). Excessive gestational weight gain was not significantly associated with macrosomia compared to adequate weight gain (RR, 0.68; 95% CI: 0.38, 1.22, P = 0.20). Conclusion: A substantial proportion of sub-Saharan African women gain inadequate gestational weight particularly high among underweight women. Future interventions would need to design effective pre-pregnancy weight management strategies.]]> Fri 15 Jul 2022 10:39:18 AEST ]]>