Literature DB >> 18629333

How to control for gestational age in studies involving environmental effects on fetal growth.

Rémy Slama, Babak Khoshnood, Monique Kaminski.   

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Year:  2008        PMID: 18629333      PMCID: PMC2453179          DOI: 10.1289/ehp.11105

Source DB:  PubMed          Journal:  Environ Health Perspect        ISSN: 0091-6765            Impact factor:   9.031


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In studies on the effects of environmental factors on fetal growth, birth weight is usually corrected for gestational age. With the generalized use of ultrasound examinations in many countries, gestational age is often defined or corrected from the ultrasound measurements performed during or immediately after the first trimester of pregnancy, which are compared to a reference growth curve. As an illustration, in a cohort study investigating the association between exposure to perfluorinated chemicals and fetal growth, Fei et al. (2007) defined gestational age from ultrasound measures performed before 24 gestational weeks and, if this information was missing, from the date of the last menstrual period (LMP). The superiority of ultrasound measurements over other approaches to predict the date of delivery (Lynch and Zhang 2007) does not imply that ultrasound-based gestational age leads to an unbiased estimate of the effect of environmental factors on fetal growth. The use of ultrasound-based gestational age assumes that fetal ultrasound measurements at a given gestational week during the first trimester have very little variability. However, there is some evidence to the contrary (Bukowski et al. 2007). Part of this variability might be due to exposure to environmental pollutants. If the environmental pollutant considered can restrict fetal growth as early as the first trimester, correcting gestational age using first-trimester ultrasound measurements will erroneously shorten the gestational age of these small-for-gestational-age fetuses. This may lead to underestimating effects of environmental pollutants on birth weight or size controlled for gestational age (Figure 1), compared with studies using an accurately estimated date of conception. In practice, an accurate estimate of conception date may seldom be available outside the setting of in vitro fertilization. An alternative is reliance on LMP-based estimates, which are prone to errors due to bad recall, variability in the duration of the follicular phase of the cycle and midcycle, and early pregnancy bleeding (Lynch and Zhang 2007). Moreover, using the LMP-based estimate of gestational age would be problematic if, as already reported for specific environmental pollutants (Windham et al. 2003), the environmental factors considered could influence the duration of the menstrual cycle. Therefore, detailed studies may be needed to determine the balance between the possible biases in the estimated effect of the environmental factor entailed by the use of ultrasound-based measurements and LMP-based estimates.
Figure 1

Hypothetical evolution of a fetal measurement (e.g., fetal length) during pregnancy for a pregnancy exposed or unexposed to an environmental factor that can affect fetal growth from early pregnancy. The ultrasound examination leads the obstetrician to correct the date of conception (t0) for the exposed pregnancy by Δt, so this exposed pregnancy is not compared with unexposed pregnancies with the same gestational age D (solid curve) as it should, but instead with gestational age D – Dt (dashed blue curve). Consequently, the estimated difference in the gestational age–specific fetal measurement at birth between exposed and unexposed pregnancies is not the correct value β but a smaller value β′.

This potential bias has been recognized by Savitz et al. (2002) and was alluded to by Fei et al. (2007) in their “Discussion.” However, its consequences have probably not been fully acknowledged. When possible, researchers should conduct sensitivity analyses using different measures of gestational age to help quantify the potential for bias. The same approach could also be used when gestational duration is the studied outcome (Lynch and Zhang 2007).
  5 in total

Review 1.  Epidemiologic measures of the course and outcome of pregnancy.

Authors:  David A Savitz; Irva Hertz-Picciotto; Charles Poole; Andrew F Olshan
Journal:  Epidemiol Rev       Date:  2002       Impact factor: 6.222

Review 2.  The research implications of the selection of a gestational age estimation method.

Authors:  Courtney D Lynch; Jun Zhang
Journal:  Paediatr Perinat Epidemiol       Date:  2007-09       Impact factor: 3.980

3.  Fetal growth in early pregnancy and risk of delivering low birth weight infant: prospective cohort study.

Authors:  Radek Bukowski; Gordon C S Smith; Fergal D Malone; Robert H Ball; David A Nyberg; Christine H Comstock; Gary D V Hankins; Richard L Berkowitz; Susan J Gross; Lorraine Dugoff; Sabrina D Craigo; Ilan E Timor-Tritsch; Stephen R Carr; Honor M Wolfe; Mary E D'Alton
Journal:  BMJ       Date:  2007-03-13

4.  Chlorination by-products in drinking water and menstrual cycle function.

Authors:  Gayle C Windham; Kirsten Waller; Meredith Anderson; Laura Fenster; Pauline Mendola; Shanna Swan
Journal:  Environ Health Perspect       Date:  2003-06       Impact factor: 9.031

5.  Perfluorinated chemicals and fetal growth: a study within the Danish National Birth Cohort.

Authors:  Chunyuan Fei; Joseph K McLaughlin; Robert E Tarone; Jørn Olsen
Journal:  Environ Health Perspect       Date:  2007-11       Impact factor: 9.031

  5 in total
  17 in total

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Authors:  Jonathan Y Bernard; Hong Pan; Izzuddin M Aris; Margarita Moreno-Betancur; Shu-E Soh; Fabian Yap; Kok Hian Tan; Lynette P Shek; Yap-Seng Chong; Peter D Gluckman; Philip C Calder; Keith M Godfrey; Mary Foong-Fong Chong; Michael S Kramer; Neerja Karnani; Yung Seng Lee
Journal:  Am J Clin Nutr       Date:  2018-07-01       Impact factor: 7.045

2.  Methodological issues in studies of air pollution and reproductive health.

Authors:  Tracey J Woodruff; Jennifer D Parker; Lyndsey A Darrow; Rémy Slama; Michelle L Bell; Hyunok Choi; Svetlana Glinianaia; Katherine J Hoggatt; Catherine J Karr; Danelle T Lobdell; Michelle Wilhelm
Journal:  Environ Res       Date:  2009-02-11       Impact factor: 6.498

Review 3.  Epidemiologic tools to study the influence of environmental factors on fecundity and pregnancy-related outcomes.

Authors:  Rémy Slama; Ferran Ballester; Maribel Casas; Sylvaine Cordier; Merete Eggesbø; Carmen Iniguez; Mark Nieuwenhuijsen; Claire Philippat; Sylvie Rey; Stéphanie Vandentorren; Martine Vrijheid
Journal:  Epidemiol Rev       Date:  2013-12-20       Impact factor: 6.222

4.  Statistical methods to study timing of vulnerability with sparsely sampled data on environmental toxicants.

Authors:  Brisa Ney Sánchez; Howard Hu; Heather J Litman; Martha Maria Téllez-Rojo
Journal:  Environ Health Perspect       Date:  2011-03       Impact factor: 9.031

5.  Exposure to phthalates and phenols during pregnancy and offspring size at birth.

Authors:  Claire Philippat; Marion Mortamais; Cécile Chevrier; Claire Petit; Antonia M Calafat; Xiaoyun Ye; Manori J Silva; Christian Brambilla; Isabelle Pin; Marie-Aline Charles; Sylvaine Cordier; Rémy Slama
Journal:  Environ Health Perspect       Date:  2011-09-07       Impact factor: 9.031

6.  Air pollution exposure during pregnancy, ultrasound measures of fetal growth, and adverse birth outcomes: a prospective cohort study.

Authors:  Edith H van den Hooven; Frank H Pierik; Yvonne de Kluizenaar; Sten P Willemsen; Albert Hofman; Sjoerd W van Ratingen; Peter Y J Zandveld; Johan P Mackenbach; Eric A P Steegers; Henk M E Miedema; Vincent W V Jaddoe
Journal:  Environ Health Perspect       Date:  2012-01       Impact factor: 9.031

7.  Maternal personal exposure to airborne benzene and intrauterine growth.

Authors:  Rémy Slama; Olivier Thiebaugeorges; Valérie Goua; Lucette Aussel; Paolo Sacco; Aline Bohet; Anne Forhan; Béatrice Ducot; Isabella Annesi-Maesano; Joachim Heinrich; Guillaume Magnin; Michel Schweitzer; Monique Kaminski; Marie-Aline Charles
Journal:  Environ Health Perspect       Date:  2009-04-01       Impact factor: 9.031

8.  Association between GIS-based exposure to urban air pollution during pregnancy and birth weight in the INMA Sabadell Cohort.

Authors:  Inmaculada Aguilera; Mònica Guxens; Raquel Garcia-Esteban; Teresa Corbella; Mark J Nieuwenhuijsen; Carles M Foradada; Jordi Sunyer
Journal:  Environ Health Perspect       Date:  2009-04-13       Impact factor: 9.031

9.  Prenatal exposure to traffic-related air pollution and ultrasound measures of fetal growth in the INMA Sabadell cohort.

Authors:  Inmaculada Aguilera; Raquel Garcia-Esteban; Carmen Iñiguez; Mark J Nieuwenhuijsen; Agueda Rodríguez; Montserrat Paez; Ferran Ballester; Jordi Sunyer
Journal:  Environ Health Perspect       Date:  2010-01-26       Impact factor: 9.031

10.  Meeting report: atmospheric pollution and human reproduction.

Authors:  Rémy Slama; Lyndsey Darrow; Jennifer Parker; Tracey J Woodruff; Matthew Strickland; Mark Nieuwenhuijsen; Svetlana Glinianaia; Katherine J Hoggatt; Srimathi Kannan; Fintan Hurley; Jaroslaw Kalinka; Radim Srám; Michael Brauer; Michelle Wilhelm; Joachim Heinrich; Beate Ritz
Journal:  Environ Health Perspect       Date:  2008-06       Impact factor: 9.031

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