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Kinga Polańska

Researcher at Nofer Institute of Occupational Medicine

Publications -  170
Citations -  5148

Kinga Polańska is an academic researcher from Nofer Institute of Occupational Medicine. The author has contributed to research in topics: Pregnancy & Cohort study. The author has an hindex of 35, co-authored 154 publications receiving 3606 citations. Previous affiliations of Kinga Polańska include Maastricht University Medical Centre & Medical University of Łódź.

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Journal ArticleDOI

Association of Gestational Weight Gain With Adverse Maternal and Infant Outcomes

LifeCycle Project-Maternal Obesity, +76 more
- 07 May 2019 - 
TL;DR: In this meta-analysis of pooled individual participant data from 25 cohort studies, the risk for adverse maternal and infant outcomes varied by gestational weight gain and across the range of prepregnancy weights, however, the optimal gestations weight gain ranges had limited predictive value for the outcomes assessed.
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Preterm birth, infant weight gain, and childhood asthma risk : A meta-analysis of 147,000 European children

Agnes M.M. Sonnenschein-van der Voort, +58 more
TL;DR: In this article, the authors performed an individual participant data meta-analysis for 147,252 children of 31 birth cohort studies to determine the associations of birth and infant growth characteristics with the risks of preschool wheezing (1-4 years) and school-age asthma (5-10 years).
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Impact of maternal body mass index and gestational weight gain on pregnancy complications: An individual participant data meta-analysis of European, North American and Australian cohorts

Susana Santos, +87 more
TL;DR: In this paper, the separate and combined associations of maternal pre-pregnancy body mass index (BMI) and gestational weight gain with the risks of pregnancy complications and their population impact were assessed.
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Maternal body mass index, gestational weight gain and the risk of overweight and obesity across childhood: An individual participant data meta-analysis

Ellis Voerman, +91 more
- 11 Feb 2019 - 
TL;DR: In this article, the authors conducted an individual participant data meta-analysis of data from 162,129 mothers and children from 37 pregnancy and birth cohort studies from Europe, North-America and Australia, using multilevel binary logistic regression models with a random intercept at cohort level adjusted for maternal socio-demographic and life style related characteristics.
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Pregnancy and Birth Cohort Resources in Europe: a Large Opportunity for Aetiological Child Health Research

Pernille Stemann Larsen, +45 more
TL;DR: An overview of European pregnancy and birth cohorts registered in a freely accessible database located at http://www.birthcohorts.net demonstrates a great potential for cross-cohort collaboration addressing important aspects of child health.