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spelling sg-nus-scholar.10635-1780522024-04-11T05:53:48Z Prenatal exposure to traffic pollution and childhood body mass index trajectory Fleisch, A.F Aris, I.M Rifas-Shiman, S.L Coull, B.A Luttmann-Gibson, H Koutrakis, P Schwartz, J.D Kloog, I Gold, D.R Oken, E OBSTETRICS & GYNAECOLOGY black carbon adult air pollution anthropometric parameters Article body height body mass body weight calculation controlled study education evidence based medicine female fetus geographic information system gestational age household human magnitude estimation method major clinical study male maternal age menstrual cycle middle aged obesity outcome assessment pollution and pollution related phenomena prenatal care prenatal drug exposure questionnaire regression analysis second trimester pregnancy smoking spatiotemporal analysis traffic traffic and transport validation process young adult 10.3389/fendo.2018.00771 Frontiers in Endocrinology 10 JAN 2020-10-20T04:56:52Z 2020-10-20T04:56:52Z 2019 Article Fleisch, A.F, Aris, I.M, Rifas-Shiman, S.L, Coull, B.A, Luttmann-Gibson, H, Koutrakis, P, Schwartz, J.D, Kloog, I, Gold, D.R, Oken, E (2019). Prenatal exposure to traffic pollution and childhood body mass index trajectory. Frontiers in Endocrinology 10 (JAN). ScholarBank@NUS Repository. https://doi.org/10.3389/fendo.2018.00771 16642392 https://scholarbank.nus.edu.sg/handle/10635/178052 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ Unpaywall 20201031
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
topic black carbon
adult
air pollution
anthropometric parameters
Article
body height
body mass
body weight
calculation
controlled study
education
evidence based medicine
female
fetus
geographic information system
gestational age
household
human
magnitude estimation method
major clinical study
male
maternal age
menstrual cycle
middle aged
obesity
outcome assessment
pollution and pollution related phenomena
prenatal care
prenatal drug exposure
questionnaire
regression analysis
second trimester pregnancy
smoking
spatiotemporal analysis
traffic
traffic and transport
validation process
young adult
spellingShingle black carbon
adult
air pollution
anthropometric parameters
Article
body height
body mass
body weight
calculation
controlled study
education
evidence based medicine
female
fetus
geographic information system
gestational age
household
human
magnitude estimation method
major clinical study
male
maternal age
menstrual cycle
middle aged
obesity
outcome assessment
pollution and pollution related phenomena
prenatal care
prenatal drug exposure
questionnaire
regression analysis
second trimester pregnancy
smoking
spatiotemporal analysis
traffic
traffic and transport
validation process
young adult
Fleisch, A.F
Aris, I.M
Rifas-Shiman, S.L
Coull, B.A
Luttmann-Gibson, H
Koutrakis, P
Schwartz, J.D
Kloog, I
Gold, D.R
Oken, E
Prenatal exposure to traffic pollution and childhood body mass index trajectory
description 10.3389/fendo.2018.00771
author2 OBSTETRICS & GYNAECOLOGY
author_facet OBSTETRICS & GYNAECOLOGY
Fleisch, A.F
Aris, I.M
Rifas-Shiman, S.L
Coull, B.A
Luttmann-Gibson, H
Koutrakis, P
Schwartz, J.D
Kloog, I
Gold, D.R
Oken, E
format Article
author Fleisch, A.F
Aris, I.M
Rifas-Shiman, S.L
Coull, B.A
Luttmann-Gibson, H
Koutrakis, P
Schwartz, J.D
Kloog, I
Gold, D.R
Oken, E
author_sort Fleisch, A.F
title Prenatal exposure to traffic pollution and childhood body mass index trajectory
title_short Prenatal exposure to traffic pollution and childhood body mass index trajectory
title_full Prenatal exposure to traffic pollution and childhood body mass index trajectory
title_fullStr Prenatal exposure to traffic pollution and childhood body mass index trajectory
title_full_unstemmed Prenatal exposure to traffic pollution and childhood body mass index trajectory
title_sort prenatal exposure to traffic pollution and childhood body mass index trajectory
publishDate 2020
url https://scholarbank.nus.edu.sg/handle/10635/178052
_version_ 1800914472853831680