Chaoqing Tian1, Chengwen Hu2, Xiujie He1, Meng Zhu1, Fengyun Qin1, Yue Liu1, Chuanlai Hu3. 1. Department of Nutrition and Food Hygiene, School of Public Health, Anhui Medical University, 81 Mei Shan Road, 230032, Hefei, Anhui, China. 2. Department of Obstetrics and Gynecology, Affiliated Provincial Hospital of Anhui Medical University, Hefei, China. 3. Department of Nutrition and Food Hygiene, School of Public Health, Anhui Medical University, 81 Mei Shan Road, 230032, Hefei, Anhui, China. huchuanlai@ahmu.edu.cn.
Abstract
PURPOSE: This meta-analysis aimed to estimate the relation between excessive gestational weight gain and macrosomia. METHODS: We performed a meta-analysis by searching PubMed, EMBASE and the Cochrane library for English-language literature from inception to 1 October 2014. Studies assessing the relationship between excessive gestational weight gain and macrosomia were included. Characteristics including study design, country, sample size, definition of macrosomia, adjusted odds ratios, CIs and adjustment factors were extracted independently by two reviewers. Summary odds ratios were calculated by using a random-effects model meta-analysis. RESULTS: 15 relevant articles were eligible for the meta-analysis. Incorporated by random-effect model before the heterogeneity tests, the value of OR was 2.35 (95 % CI: 1.95, 2.85). Stratified analysis showed no differences regarding different study design, definition of macrosomia and location of study. There was no indication of a publication bias either from the result of Egger's test (P = 0.572) or Begg's test (P = 0.572). CONCLUSIONS: Our meta-analysis indicated that excessive gestational weight gain might increase the risk of macrosomia.
PURPOSE: This meta-analysis aimed to estimate the relation between excessive gestational weight gain and macrosomia. METHODS: We performed a meta-analysis by searching PubMed, EMBASE and the Cochrane library for English-language literature from inception to 1 October 2014. Studies assessing the relationship between excessive gestational weight gain and macrosomia were included. Characteristics including study design, country, sample size, definition of macrosomia, adjusted odds ratios, CIs and adjustment factors were extracted independently by two reviewers. Summary odds ratios were calculated by using a random-effects model meta-analysis. RESULTS: 15 relevant articles were eligible for the meta-analysis. Incorporated by random-effect model before the heterogeneity tests, the value of OR was 2.35 (95 % CI: 1.95, 2.85). Stratified analysis showed no differences regarding different study design, definition of macrosomia and location of study. There was no indication of a publication bias either from the result of Egger's test (P = 0.572) or Begg's test (P = 0.572). CONCLUSIONS: Our meta-analysis indicated that excessive gestational weight gain might increase the risk of macrosomia.
Authors: Tamara Margit Jutta Pahlitzsch; Laura Hanne; Wolfgang Henrich; Alexander Weichert Journal: Geburtshilfe Frauenheilkd Date: 2019-11-11 Impact factor: 2.915
Authors: Gillian A Corbett; Samuel Hunter; Amina Javaid; Emma McNamee; Michael O'Connell; Stephen W Lindow; Aisling Martin Journal: Ir J Med Sci Date: 2022-07-04 Impact factor: 2.089