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dc.contributor.author Hulmán, András
dc.contributor.author Witte, DR
dc.contributor.author Kerenyi, Z
dc.contributor.author Madarasz, E
dc.contributor.author Tänczer, Tímea
dc.contributor.author Bosnyak, Z
dc.contributor.author Szabo, E
dc.contributor.author Ferencz, Viktória
dc.contributor.author Peterfalvi, A
dc.contributor.author Tabák, Ádám
dc.contributor.author Nyári, Tibor András
dc.date.accessioned 2019-11-27T15:31:50Z
dc.date.available 2019-11-27T15:31:50Z
dc.date.issued 2015
dc.identifier 84924540226
dc.identifier.citation journalVolume=25;journalIssueNumber=2;journalTitle=ANNALS OF EPIDEMIOLOGY;pagerange=133-137;journalAbbreviatedTitle=ANN EPIDEMIOL;
dc.identifier.uri http://repo.lib.semmelweis.hu//handle/123456789/7508
dc.identifier.uri doi:10.1016/j.annepidem.2014.11.001
dc.description.abstract PURPOSE: Classical regression models might give an incomplete picture of the associations between predictors and outcomes. We investigated associations between gestational weight gain (GWG) and birth weight along the entire birth weight distribution with quantile regression and estimated effects of hypothetical prevention strategies. METHODS: The GWG-birth weight association was analyzed using quantile and classical regression models on data from a population-based gestational diabetes screening (n = 4760) at the Szent Imre Teaching Hospital in Budapest, Hungary (2002-2005). Birth weight distributions were modeled based on hypothetical GWG changes. RESULTS: At a body mass index of 20 kg/m(2), a 1-kg difference in GWG was associated with a 14.2 g (95% confidence interval, 10.0-20.9) higher birth weight at the fifth percentile of the birth weight distribution and a 29.0 g (21.3-35.6) higher birth weight at the 95th percentile. The coefficient from linear regression was 20.7 (17.5-24.0). Estimates differed modestly between the two regressions at a body mass index of 30 kg/m(2). A population-wide 2-kg decrease in GWG would rather affect the risk of macrosomia (-1.8%) than that of low birth weight (+0.4%). In contrast, a 3-kg decrease in GWG among overweight and obese women would lower macrosomia more modestly (-0.8%). CONCLUSIONS: A population-wide lowering of GWG would lead to greater improvements in the right tail of the birth weight distribution.
dc.format.extent 133-137
dc.relation.ispartof urn:issn:1047-2797
dc.title Heterogeneous effect of gestational weight gain on birth weight: quantile regression analysis from a population-based screening
dc.type Journal Article
dc.date.updated 2019-08-21T10:49:24Z
dc.language.rfc3066 en
dc.rights.holder NULL
dc.identifier.mtmt 2945296
dc.identifier.wos 000348751700012
dc.identifier.pubmed 25497913
dc.contributor.department SE/AOK/K/I. Sz. Belgyógyászati Klinika
dc.contributor.institution Semmelweis Egyetem


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