The joint effects of prenatal exposure to PM
Accelerated childhood growth
Constituents
Fetal growth
Particulate matters
Journal
Journal of exposure science & environmental epidemiology
ISSN: 1559-064X
Titre abrégé: J Expo Sci Environ Epidemiol
Pays: United States
ID NLM: 101262796
Informations de publication
Date de publication:
26 Mar 2024
26 Mar 2024
Historique:
received:
27
04
2023
accepted:
05
03
2024
revised:
26
02
2024
medline:
27
3
2024
pubmed:
27
3
2024
entrez:
27
3
2024
Statut:
aheadofprint
Résumé
Prenatal fine particulate matter (PM The study investigated whether the joint effects are present between PM The study was embedded in a birth cohort in China, including 5424 mother-child pairs. Prenatal PM Children with lower fetal growth trajectory, PTB, LBW, and SGA had increased odds of children's accelerated growth, with odds ratios (ORs) ranging from 1.704 to 11.605. Compared with lower exposure (≤median), higher exposure (>median) of PM Fine particulate matter (PM
Sections du résumé
BACKGROUND
BACKGROUND
Prenatal fine particulate matter (PM
OBJECTIVE
OBJECTIVE
The study investigated whether the joint effects are present between PM
METHODS
METHODS
The study was embedded in a birth cohort in China, including 5424 mother-child pairs. Prenatal PM
RESULTS
RESULTS
Children with lower fetal growth trajectory, PTB, LBW, and SGA had increased odds of children's accelerated growth, with odds ratios (ORs) ranging from 1.704 to 11.605. Compared with lower exposure (≤median), higher exposure (>median) of PM
IMPACT
CONCLUSIONS
Fine particulate matter (PM
Identifiants
pubmed: 38532124
doi: 10.1038/s41370-024-00658-x
pii: 10.1038/s41370-024-00658-x
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
© 2024. The Author(s), under exclusive licence to Springer Nature America, Inc.
Références
Barker DJP. The origins of the developmental origins theory. J Intern Med. 2007;261:412–7.
pubmed: 17444880
doi: 10.1111/j.1365-2796.2007.01809.x
Matthews EK, Wei J, Cunningham SA. Relationship between prenatal growth, postnatal growth and childhood obesity: a review. Eur J Clin Nutr. 2017;71:919–30.
pubmed: 28247860
doi: 10.1038/ejcn.2016.258
Ong KK, Ahmed ML, Emmett PM, Preece MA, Dunger DB. Association between postnatal catch-up growth and obesity in childhood: prospective cohort study. BMJ. 2000;320:967–71.
pubmed: 10753147
pmcid: 27335
doi: 10.1136/bmj.320.7240.967
Eriksson JG, Forsén T, Tuomilehto J, Osmond C, Barker DJP. Early growth and coronary heart disease in later life: longitudinal study. BMJ. 2001;322:949–53.
pubmed: 11312225
pmcid: 31033
doi: 10.1136/bmj.322.7292.949
Linda SA, Tim JC. Rapid child growth raises blood pressure in adolescent boys who were thin at birth. Hypertension. 2003;41:451–6.
doi: 10.1161/01.HYP.0000054212.23528.B2
Mao G, Nachman RM, Sun Q, Zhang X, Koehler K, Chen Z, et al. Individual and joint effects of early-life ambient exposure and maternal prepregnancy obesity on childhood overweight or obesity. Environ Health Perspect. 2017;125:067005.
pubmed: 28669938
pmcid: 5743454
doi: 10.1289/EHP261
Chiu Y-HM, Hsu H-HL, Wilson A, Coull BA, Pendo MP, Baccarelli A, et al. Prenatal particulate air pollution exposure and body composition in urban preschool children: examining sensitive windows and sex-specific associations. Environ Res. 2017;158:798–805.
pubmed: 28759881
pmcid: 5570541
doi: 10.1016/j.envres.2017.07.026
Fleisch AF, Rifas-Shiman SL, Koutrakis P, Schwartz JD, Kloog I, Melly S, et al. Prenatal exposure to traffic pollution: associations with reduced fetal growth and rapid infant weight gain. Epidemiology. 2015;26:43–50.
pubmed: 25437317
pmcid: 4285344
doi: 10.1097/EDE.0000000000000203
Fleisch AF, Luttmann-Gibson H, Perng W, Rifas-Shiman SL, Coull BA, Kloog I, et al. Prenatal and early life exposure to traffic pollution and cardiometabolic health in childhood. Pediatr Obes. 2017;12:48–57.
pubmed: 26843357
doi: 10.1111/ijpo.12106
Sears CG, Mueller-Leonhard C, Wellenius GA, Chen A, Ryan P, Lanphear BP, et al. Early-life exposure to traffic-related air pollution and child anthropometry. Environ Epidemiol. 2019;3:e061.
Patterson WB, Glasson J, Naik N, Jones RB, Berger PK, Plows JF, et al. Prenatal exposure to ambient air pollutants and early infant growth and adiposity in the Southern California Mother’s Milk Study. Environ Health. 2021;20:67.
pubmed: 34090448
pmcid: 8180163
doi: 10.1186/s12940-021-00753-8
Starling AP, Moore BF, Thomas DSK, Peel JL, Zhang W, Adgate JL, et al. Prenatal exposure to traffic and ambient air pollution and infant weight and adiposity: the Healthy Start study. Environ Res. 2020;182:109130.
pubmed: 32069764
pmcid: 7394733
doi: 10.1016/j.envres.2020.109130
Cho H-J, Lee S-H, Lee S-Y, Kim H-C, Kim H-B, Park MJ, et al. Mid-pregnancy PM2.5 exposure affects sex-specific growth trajectories via ARRDC3 methylation. Environ Res. 2021;200:111640.
pubmed: 34302828
doi: 10.1016/j.envres.2021.111640
Kim JS, Alderete TL, Chen Z, Lurmann F, Rappaport E, Habre R, et al. Longitudinal associations of in utero and early life near-roadway air pollution with trajectories of childhood body mass index. Environ Health. 2018;17:64.
pubmed: 30213262
pmcid: 6137930
doi: 10.1186/s12940-018-0409-7
Fossati S, Valvi D, Martinez D, Cirach M, Estarlich M, Fernández-Somoano A, et al. Prenatal air pollution exposure and growth and cardio-metabolic risk in preschoolers. Environ Int. 2020;138:105619.
pubmed: 32193046
doi: 10.1016/j.envint.2020.105619
Rosofsky AS, Fabian MP, Ettinger de Cuba S, Sandel M, Coleman S, Levy JI, et al. Prenatal ambient particulate matter exposure and longitudinal weight growth trajectories in early childhood. Int J Environ Res Public Health. 2020;17:1444.
Fleisch AF, Aris IM, Rifas-Shiman SL, Coull BA, Luttmann-Gibson H, Koutrakis P, et al. Prenatal exposure to traffic pollution and childhood body mass index trajectory. Front Endocrinol. 2019;9:771.
doi: 10.3389/fendo.2018.00771
Sun X, Liu C, Liang H, Miao M, Wang Z, Ji H, et al. Prenatal exposure to residential PM2.5 and its chemical constituents and weight in preschool children: a longitudinal study from Shanghai, China. Environ Int. 2021;154:106580.
pubmed: 33905944
doi: 10.1016/j.envint.2021.106580
Moore BF, Starling AP, Martenies SE, Magzamen S, Dabelea D. Joint effects of ambient air pollution and maternal smoking on neonatal adiposity and childhood BMI trajectories in the Healthy Start study. Environ Epidemiol. 2021;5:e142.
pubmed: 34131612
pmcid: 8196098
doi: 10.1097/EE9.0000000000000142
Bell ML, Dominici F, Ebisu K, Zeger SL, Samet JM. Spatial and temporal variation in PM2.5 chemical composition in the United States for health effects studies. Environ Health Perspect. 2007;115:989–95.
pubmed: 17637911
pmcid: 1913582
doi: 10.1289/ehp.9621
Gillman MW. Developmental origins of health and disease. N Engl J Med. 2005;353:1848–50.
pubmed: 16251542
pmcid: 1488726
doi: 10.1056/NEJMe058187
Wei Y, Zhang JJ, Li Z, Gow A, Chung KF, Hu M, et al. Chronic exposure to air pollution particles increases the risk of obesity and metabolic syndrome: findings from a natural experiment in Beijing. FASEB J. 2016;30:2115–22.
pubmed: 26891735
pmcid: 6137545
doi: 10.1096/fj.201500142
Bolton JL, Smith SH, Huff NC, Gilmour MI, Foster WM, Auten RL, et al. Prenatal air pollution exposure induces neuroinflammation and predisposes offspring to weight gain in adulthood in a sex-specific manner. FASEB J. 2012;26:4743–54.
pubmed: 22815382
doi: 10.1096/fj.12-210989
Lin L, Li Q, Yang J, Han N, Jin C, Xu X, et al. The associations of particulate matters with fetal growth in utero and birth weight: a birth cohort study in Beijing, China. Sci Total Environ. 2020;709:136246.
pubmed: 31927434
doi: 10.1016/j.scitotenv.2019.136246
Zhou S, Lin L, Bao Z, Meng T, Wang S, Chen G, et al. The association of prenatal exposure to particulate matter with infant growth: a birth cohort study in Beijing, China. Environ Pollut. 2021;277:116792.
pubmed: 33721799
doi: 10.1016/j.envpol.2021.116792
Hadlock FP, Harrist RB, Sharman RS, Deter RL, Park SK. Estimation of fetal weight with the use of head, body, and femur measurements—a prospective study. Am J Obstet Gynecol. 1985;151:333–7.
pubmed: 3881966
doi: 10.1016/0002-9378(85)90298-4
Genolini C, Falissard B. KmL: k-means for longitudinal data. Comput Stat. 2010;25:317–28.
doi: 10.1007/s00180-009-0178-4
WHO: recommended definitions, terminology and format for statistical tables related to the perinatal period and use of a new certificate for cause of perinatal deaths. Modifications recommended by FIGO as amended October 14, 1976. Acta Obstet Gynecol Scand. 1977;56:247–53.
Villar J, Ismail LC, Victora CG, Ohuma EO, Bertino E, Altman DG, et al. International standards for newborn weight, length, and head circumference by gestational age and sex: the Newborn Cross-Sectional Study of the INTERGROWTH-21st Project. Lancet. 2014;384:857–68.
pubmed: 25209487
doi: 10.1016/S0140-6736(14)60932-6
World Health Organization. Training course on child growth assessment. Geneva: WHO; 2008.
WHO Multicentre Growth Reference Study Group, de Onis M. WHO Child Growth Standards based on length/height, weight and age. Acta Paediatr. 2006;95:76–85.
doi: 10.1111/j.1651-2227.2006.tb02378.x
Duran I, Martakis K, Rehberg M, Stark C, Schafmeyer L, Schönau E. Reference centiles for the evaluation of nutritional status in children using body fat percentage, fat mass and lean body mass index. J Clin Densitom. 2020;23:349–63.
pubmed: 30827819
doi: 10.1016/j.jocd.2019.02.002
den Dekker HT, Jaddoe VWV, Reiss IK, de Jongste JC, Duijts L. Fetal and infant growth patterns and risk of lower lung function and asthma. The Generation R Study. Am J Respir Crit Care Med. 2018;197:183–92.
doi: 10.1164/rccm.201703-0631OC
Sonnenschein-van der Voort AMM, Jaddoe VWV, Raat H, Moll HA, Hofman A, de Jongste JC, et al. Fetal and infant growth and asthma symptoms in preschool children: the Generation R Study. Am J Respir Crit Care Med. 2012;185:731–7.
pubmed: 22268138
doi: 10.1164/rccm.201107-1266OC
Heppe DHM, Kiefte-de Jong JC, Durmuş B, Moll HA, Raat H, Hofman A, et al. Parental, fetal, and infant risk factors for preschool overweight: the Generation R Study. Pediatr Res. 2013;73:120–7.
pubmed: 23138398
doi: 10.1038/pr.2012.145
Chen G, Li S, Knibbs LD, Hamm NAS, Cao W, Li T, et al. A machine learning method to estimate PM(2.5) concentrations across China with remote sensing, meteorological and land use information. Sci Total Environ. 2018;636:52–60.
pubmed: 29702402
doi: 10.1016/j.scitotenv.2018.04.251
Hu J, Li X, Huang L, Ying Q, Zhang Q, Zhao B, et al. Ensemble prediction of air quality using the WRF/CMAQ model system for health effect studies in China. Atmos Chem Phys. 2017;17:13103–18.
doi: 10.5194/acp-17-13103-2017
Skamarock WC, Klemp JB, Dudhia J, Gill DO, Barker DM, Duda MG, et al. A description of the advanced research WRF version 3, NCAR Technical Note. Boulder, CO, USA: National Center for Atmospheric Research; 2008. p. 113.
Guenther A, Jiang X, Heald CL, Sakulyanontvittaya T, Duhl TA, Emmons, et al. The model of emissions of gases and aerosols from nature version 2.1 (MEGAN2. 1): an extended and updated framework for modeling biogenic emissions. Geosci Model Dev. 2012;5:1471–92.
doi: 10.5194/gmd-5-1471-2012
Hu J, Wang P, Ying Q, Zhang H, Chen J, Ge X, et al. Modeling biogenic and anthropogenic secondary organic aerosol in China. Atmos Chem Phys. 2017;17:77–92.
doi: 10.5194/acp-17-77-2017
Randell H, Gray C, Grace K. Stunted from the start: early life weather conditions and child undernutrition in Ethiopia. Soc Sci Med. 2020;261:113234.
pubmed: 32823214
pmcid: 7716344
doi: 10.1016/j.socscimed.2020.113234
Tutz G, Ramzan S. Improved methods for the imputation of missing data by nearest neighbor methods. Comput Stat Data Anal. 2015;90:84–99.
doi: 10.1016/j.csda.2015.04.009
Tyler JV, Mirjam JK. A tutorial on interaction. Epidemiol Methods. 2014;3:33–72.
Sánchez BN, Hu H, Litman HJ, Téllez-Rojo MM. Statistical methods to study timing of vulnerability with sparsely sampled data on environmental toxicants. Environ Health Perspect. 2011;119:409–15.
pubmed: 21362588
doi: 10.1289/ehp.1002453
Tingley D, Yamamoto T, Hirose K, Keele L, Imai K. Mediation: R package for causal mediation analysis. 2014.
Yang Y, Ruan Z, Wang X, Yang Y, Mason TG, Lin H, et al. Short-term and long-term exposures to fine particulate matter constituents and health: a systematic review and meta-analysis. Environ Pollut. 2019;247:874–82.
pubmed: 30731313
doi: 10.1016/j.envpol.2018.12.060
Durmuş B, Mook-Kanamori DO, Holzhauer S, Hofman A, van der Beek EM, Boehm G, et al. Growth in foetal life and infancy is associated with abdominal adiposity at the age of 2 years: the generation R study. Clin Endocrinol. 2010;72:633–40.
doi: 10.1111/j.1365-2265.2009.03708.x
Bloomfield FH, Oliver MH, Harding JE. The late effects of fetal growth patterns. Arch Dis Child Fetal Neonatal Ed. 2006;91:F299–304.
pubmed: 16790736
pmcid: 2672738
doi: 10.1136/adc.2005.076646
Ju L, Hua L, Xu H, Li C, Sun S, Zhang Q, et al. Maternal atmospheric particulate matter exposure and risk of adverse pregnancy outcomes: a meta-analysis of cohort studies. Environ Pollut. 2023;317:120704.
pubmed: 36436666
doi: 10.1016/j.envpol.2022.120704
Kroener L, Wang ET, Pisarska MD. Predisposing factors to abnormal first trimester placentation and the impact on fetal outcomes. Semin Reprod Med. 2016;34:027–35.
doi: 10.1055/s-0035-1570029
Turpin BJ, Huntzicker JJ. Identification of secondary organic aerosol episodes and quantitation of primary and secondary organic aerosol concentrations during SCAQS. Atmos Environ. 1995;29:3527–44.
doi: 10.1016/1352-2310(94)00276-Q
Bové H, Bongaerts E, Slenders E, Bijnens EM, Saenen ND, Gyselaers W, et al. Ambient black carbon particles reach the fetal side of human placenta. Nat Commun. 2019;10:3866.
pubmed: 31530803
pmcid: 6748955
doi: 10.1038/s41467-019-11654-3
Breier BH, Vickers MH, Ikenasio BA, Chan KY, Wong WPS. Fetal programming of appetite and obesity. Mol Cell Endocrinol. 2001;185:73–79.
pubmed: 11738796
doi: 10.1016/S0303-7207(01)00634-7
Oken E, Gillman MW. Fetal origins of obesity. Obes Res. 2003;11:496–506.
pubmed: 12690076
doi: 10.1038/oby.2003.69
Romano M, Guagnano MT, Pacini G, Vigneri S, Falco A, Marinopiccoli M, et al. Association of inflammation markers with impaired insulin sensitivity and coagulative activation in obese healthy women. J Clin Endocrinol Metab. 2003;88:5321–6.
pubmed: 14602768
doi: 10.1210/jc.2003-030508
Chang C-J, Jian D-Y, Lin M-W, Zhao J-Z, Ho L-T, Juan C-C. Evidence in obese children: contribution of hyperlipidemia, obesity-inflammation, and insulin sensitivity. PLoS ONE. 2015;10:e0125935.
pubmed: 26011530
pmcid: 4444301
doi: 10.1371/journal.pone.0125935
Chen L, Bell EM, Caton AR, Druschel CM, Lin S. Residential mobility during pregnancy and the potential for ambient air pollution exposure misclassification. Environ Res. 2010;110:162–8.
pubmed: 19963212
doi: 10.1016/j.envres.2009.11.001
Pereira G, Bracken MB, Bell ML. Particulate air pollution, fetal growth and gestational length: the influence of residential mobility in pregnancy. Environ Res. 2016;147:269–74.
pubmed: 26918840
pmcid: 4821760
doi: 10.1016/j.envres.2016.02.001