Statistical approaches for estimating sex-specific effects in endocrine disruptors research

Environmental Health Perspectives

Volumn 125, Issue 6, 2017, Pages

  Buckley, Jessie P ^a,b,c   Doherty, Brett T ^c   Keil, Alexander P ^c   Engel, Stephanie M ^c  

^a Johns Hopkins University   (United States)

^b JOHNS HOPKINS UNIVERSITY   (United States)

^c University of North Carolina at Chapel Hill   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DRUG METABOLITE; ENDOCRINE DISRUPTOR; MONO N BUTYL PHTHALATE; PHTHALIC ACID; UNCLASSIFIED DRUG; POLLUTANT;

ARTICLE; BAYLEY SCALES OF INFANT DEVELOPMENT; DRUG EXPOSURE; FEMALE; HUMAN; MALE; MATERNAL EXPOSURE; MATHEMATICAL PHENOMENA; MENTAL DEVELOPMENT ASSESSMENT; MENTAL DEVELOPMENT INDEX; OUTCOME ASSESSMENT; PRIMIPARA; PRIORITY JOURNAL; PSYCHOMOTOR DEVELOPMENT INDEX; SEX DIFFERENCE; SIMULATION; SOCIAL STRATIFICATION; STATISTICAL ANALYSIS; THIRD TRIMESTER PREGNANCY; URINE SAMPLING; ANALYSIS; ENVIRONMENTAL EXPOSURE; POLLUTANT; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA;

ENDOCRINE DISRUPTORS; ENVIRONMENTAL EXPOSURE; ENVIRONMENTAL POLLUTANTS; FEMALE; HUMANS; MALE; MODELS, STATISTICAL; SEX FACTORS;

EID: 85031692134     PISSN: 00916765     EISSN: 15529924     Source Type: Journal    
DOI: 10.1289/EHP334     Document Type: Article

References (25)

1. Barrett ES, Swan SH. 2015. Stress and androgen activity during fetal development. Endocrinology 156(10):3435–3441, PMID: 26241065, https://doi.org/10.1210/en.2015-1335.
2. Bayley N. 1993. Bayley Scales of Infant Development, 2nd edition. San Antonio, TX: Psychological Corporation.
3. Braza P, Carreras R, Muñoz JM, Braza F, Azurmendi A, Pascual-Sagastizábal E, et al. 2015. Negative maternal and paternal parenting styles as predictors of children’s behavioral problems: Moderating effects of the child’s sex. J Child Fam Stud 24(4):847–856, https://doi.org/10.1007/s10826-013-9893-0.
4. Caldwell BM, Bradley RH. 1979. HOME Observation for Measurement of the Environment. Little Rock, AK:University of Arkansas Press.
5. Chang L, Cloak CC, Jiang CS, Hoo A, Hernandez AB, Ernst TM. 2012. Lower glial metabolite levels in brains of young children with prenatal nicotine exposure. J Neuroimmune Pharmacol 7(1):243–252, https://doi.org/10.1007/s11481-011-9311-6.
6. Colborn T, vom Saal FS, Soto AM. 1993. Developmental effects of endocrine-disrupting chemicals in wildlife and humans. Environ Health Perspect 101 (5):378–384, PMID: 8080506.
7. Doherty BT, Engel SM, Buckley JP, Silva MJ, Calafat AM, Wolff MS. 2017. Prenatal phthalate biomarker concentrations and performance on the Bayley Scales of Infant Development-II in a population of young urban children. Environ Res 152:51–58, PMID: 27741448, https://doi.org/10.1016/j.envres.2016.09.021.
8. Engel SM, Berkowitz GS, Barr DB, Teitelbaum SL, Siskind J, Meisel SJ, et al. 2007. Prenatal organophosphate metabolite and organochlorine levels and performance on the brazelton neonatal behavioral assessment scale in a multiethnic pregnancy cohort. Am J Epidemiol 165(12):1397–1404, https://doi.org/10.1093/aje/kwm029.
9. Fergusson DM, Woodward LJ, Horwood LJ. 1998. Maternal smoking during pregnancy and psychiatric adjustment in late adolescence. Arch Gen Psychiatry 55 (8):721–727, PMID: 9707383.
10. Golding J, Northstone K, Gregory S, Miller LL, Pembrey M. 2014. The anthropometry of children and adolescents may be influenced by the prenatal smoking habits of their grandmothers: A longitudinal cohort study. Am J Hum Biol 26 (6):731–739, https://doi.org/10.1002/ajhb.22594.
11. Greenland S. 1989. Modeling and variable selection in epidemiologic analysis. Am J Public Health 79(3):340–349, PMID: 2916724.
12. Greenland S, Lash T, Rothman K. 2008. Concepts of interaction. In: Modern Epidemiology. 3rd Edition. PA:Lippincott Williams & Wilkins.
13. Ingleby FC, Flis I, Morrow EH. 2014. Sex-biased gene expression and sexual conflict throughout development. Cold Spring Harb Perspect Biol 7(1):1–17, PMID: 25376837, https://doi.org/10.1101/cshperspect.a017632.
14. Kato K, Silva MJ, Needham LL, Calafat AM. 2005. Determination of 16 phthalate metabolites in urine using automated sample preparation and on-line precon-centration/high-performance liquid chromatography/tandem mass spectrometry. Anal Chem 77(9):2985–2991, PMID: 15859620, https://doi.org/10.1021/ac0481248.
15. Lenroot RK, Gogtay N, Greenstein DK, Wells EM, Wallace GL, Clasen LS, et al. 2007. Sexual dimorphism of brain developmental trajectories during childhood and adolescence. Neuroimage 36(4):1065–1073, PMID: 17513132, https://doi.org/10.1016/j.neuroimage.2007.03.053.
16. Nugent BM, McCarthy MM. 2011. Epigenetic underpinnings of developmental sex differences in the brain. Neuroendocrinology 93(3):150–158, PMID: 21411982, https://doi.org/10.1159/000325264.
17. O'Brien KM, Upson K, Cook NR, Weinberg CR. 2016. Environmental chemicals in urine and blood: Improving methods for creatinine and lipid adjustment. Environ Health Perspect 124(2):220–227, https://doi.org/10.1289/ehp.1509693.
18. Paternoster R, Brame R, Mazerolle P, Piquero A. 1998. Using the correct statistical test for the equality of regression coefficients. Criminology 36(4):859–866, https://doi.org/10.1111/j.1745-9125.1998.tb01268.x.
19. Petkovsek MA, Boutwell BB, Beaver KM, Barnes JC. 2014. Prenatal smoking and genetic risk: Examining the childhood origins of externalizing behavioral problems. Soc Sci Med 111:17–24, https://doi.org/10.1016/j.socscimed.2014.03.028.
20. Riedel C, Fenske N, Müller MJ, Plachta-Danielzik S, Keil T, Grabenhenrich L, et al. 2014. Differences in BMI z-scores between offspring of smoking and nonsmoking mothers: a longitudinal study of German children from birth through 14 years of age. Environ Health Perspect 122(7):761–767, PMID: 24695368, https://doi.org/10.1289/ehp.1307139.
21. Ronen D, Benvenisty N. 2014. Sex-dependent gene expression in human pluripo-tent stem cells. Cell Rep 8(4):923–932, PMID: 25127145, https://doi.org/10.1016/j.celrep.2014.07.013.
22. Tung I, Li JJ, Lee SS. 2012. Child sex moderates the association between negative parenting and childhood conduct problems. Aggress Behav 38(3):239–251, PMID: 22531998, https://doi.org/10.1002/ab.21423.
23. Vallotton CD, Harewood T, Ayoub CA, Pan B, Mastergeorge AM, Brophy-Herb H. 2012. Buffering boys and boosting girls: The protective and promotive effects of Early Head Start for children's expressive language in the context of parenting stress. Early Child Res Q 27(4):696–707, PMID: 23166405, https://doi.org/10.1016/j.ecresq.2011.03.001.
24. VanderWeele TJ, Robins JM. 2010. Signed directed acyclic graphs for causal inference. J R Stat Soc Series B Stat Methodol 72(1):111–127, PMID: 25419168, https://doi.org/10.1111/j.1467-9868.2009.00728.x.
25. Weinberg CR. 2007. Can DAGs clarify effect modification?. Epidemiology 18(5):569– 572, PMID: 17700243, https://doi.org/10.1097/EDE.0b013e318126c11d.