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Prenatal Exposure to Endocrine Disruptors and Cardiometabolic Risk in Preschoolers: A Systematic Review Based on Cohort Studies Cover

Prenatal Exposure to Endocrine Disruptors and Cardiometabolic Risk in Preschoolers: A Systematic Review Based on Cohort Studies

Open Access
|Jul 2018

Figures & Tables

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Figure 1

Flowchart for the selection of studies included in the systematic review.

Table 1

Characteristics of cohort studies.

Author, location, period of study, follow-up and sample sizeExposureOutcomeEffect size[β, OR, RR (CI95%)]AdjustmentNOS
Percentage (%) of fat mass
Buckley et al. 2016 [11] New York, USA (1998–2002)
Follow up: 4 to 9 y (n = 173)
Phenols in maternal urine (3rd trimester of pregnancy).% of fat massa, BMIb and overweighte% fat mass (4 y)
2,5-DCP Boys [β = 0.61 (–1.21, 2.41)], girls [β = 2.94 (0.74, 5.09)]
BP-3 Boys [β = –0.02 (–1.73, 1.70)], girls [β = –0.96 (–2.66, 0.75)]
BPA Boys [β = 1.42 (–0.35, 3.20)], girls [β = 1.20 (–0.49, 2.85)]
Triclosan Boys [β = 0.04 (–1.86, 1.97)], girls [β = 1.01 (–0.55, 2.56)]
Race/maternal ethnicity, age, education, employment, smoking in pregnancy, height and BMI before pregnancy, gestational weight gain, phthalate prenatal exposure (sum of DEHP), lactation, age of the child in months and physical activity in the stage of follow up.9
Buckley et al. 2016 [12] New York, USA (1998–2002)
Follow up: 4 to 9 y (n = 180)
Phthalates in maternal urine (3rd trimester of pregnancy).% of fat massa and BMIb,c% fat mass (4 to 9 y)
ΣDEHP: T2 vs. T1 [β = –1.77 (–4.48, 0.97)], T3 vs. T1 [β = –3.06 (–5.99, –0.09)]
BMI z-score (4 to 9 y)
ΣDEHP: T2 vs. T1 [β = –0.10 (–0.49, 0.29)], T3 vs. T1 [β = –0.13 (–0.55, –0.29)]
Race/maternal ethnicity, age, education, employment, smoking in pregnancy, height and BMI before pregnancy, gestational weight gain, breastfeeding, age of the child in months and physical activity in the follow-up stage.8
Body mass index (BMI)
Maresca et al. 2016 [20] New York, USA (1998–2006)
Follow up: 5 to 7 y (n = 337)
Phthalates in maternal urine (3rd trimester of pregnancy) and child urine (3 and 5 years).BMIb,c,d, obesityf and % of fat massaBMI z-score (5 to 7 y)
Non DEHP Boys [β = –0.30 (–0.50, –0.10)], girls [β = 0.07 (–0.18, 0.31)]
% fat mass (7 y)
Non DEHP Boys [β = –1.62 (–2.91, –0.34)], girls [β = 0.62 (–0.64, 1.88)]
Race/maternal ethnicity (self-report), public assistance during pregnancy, obesity before pregnancy (self-report), birth weight, age of the child in months at follow-up time and specific urinary gravity (z-score).7
Høyer et al. 2015 [17] Greenland and Ukraine “INUENDO” cohort (2002–2004)
Follow up: 5 to 9 y (n = 1022)
PFOA and PFOS in maternal plasma (2nd trimester of pregnancy).BMIb,c, overweightg and waist/height ratio (WHtR) > 0.5Overweight (5 to 9 y)
PFOA T3 vs.1 Greenland. Boys [RR = 1.03 (0.66, 1.59)], girls [RR = 1.81 (1.04, 3.17)]
WHtR > 0.5 (5 to 9 y)
Pooled analysis PFOA [RR = 1.30 (0.97, 1.74)], PFOS: [RR = 1.38 (1.05, 1.82)].
Maternal age at birth, parity, smoking during pregnancy, education and BMI before pregnancy. The waist/height ratio models were also adjusted for the child’s age and sex.8
Tang-Péronard et al. 2014 [21] Faroe Islands (1997–2000)
Follow up: 5 to 7 y (n = 561)
PCBs and DDE in maternal serum (3rd trimester of pregnancy) and breast milk.BMIb, overweight and obesityhBMI at 5 y in girls born of mothers without overweight
PCBs [β = –0.12 (–0.82, 0.58)]; DDE [β = –0.18 (–0.82, 0.45)]
BMI at 5 y in girls born of mothers with overweight
Q4 vs.1 PCBs [β = 0.59 (–0.47, 1.65)]; DDE [β = 0.15 (–0.9, 1.20)]
Parity and maternal age.8
Braun et al. 2014 [14] Cincinnati, USA “HOME” cohort (2003–2006)
Follow up: 2 to 5 y (n = 297)
BPA in maternal urine (2nd trimester of pregnancy) and child urine (1–2 years).BMIb,c, waist circumference (WC) and overweighteChange in BMI (2 to 5 y)
Boys [β = 0.0 (–0.5, 0.6)], girls [β = –0.4 (–0.9, 0.2)]
WC Global [β = –1.5 (–4.0, 1.0)]
Overweight [OR = 0.65 (0.19, 2.18)]
Maternal race, marital status, parity, age at birth, economic income, education, employment, social security, BMI at 16 weeks of pregnancy, depressive symptoms at baseline and prenatal serum cotinine levels.8
Valvi et al. 2013 [24] Spain (2004–2006)
Follow up: 4 y (n = 344)
BPA in maternal urine (average of the 1st and 3rd trimesters of pregnancy).BMIb,c, overweighte and waist circumference (WC)The prevalence of overweight at 4 years was 21%.
WC [β per 10 log units = 0.28 (0.01, 0.57)]
BMI z-score [β = 0.28 (–0.06, 0.63)]
Overweight [RR = 1.38 (0.72, 2.67)]
Sex of the child, exact age of event measurement, time of the day in which the woman’s urine sample was collected, country of origin, age at delivery, education, parity, BMI prior to pregnancy and smoking during pregnancy.7
Verhulst et al. 2009 [6] Belgium (2002–2004)
Follow up: 1 to 3 y (n = 344)
HCB, DDE, PCB and dioxins in umbilical cord blood.BMIb,cDifference in the BMI z-score (1 to 3 y)
DDE [β = –0.002 ± 0.001, p = 0.2]; DDE*smoking [β = –0.003 ± 0.001, p = 0.06]
PCBs [β = 0.003 ± 0.001, p-value = 0.03]
No association with HCB and dioxins was observed
Age of the child, BMI of the parents, maternal age at birth, birth weight in z-score, breastfeeding, maternal smoking before or during pregnancy and household income.5
Weight and height
Gardner et al. 2013 [16] Bangladesh (2002–2009) “MINIMat” cohort
Follow up: 5 y (n = 1505)
As (weeks 6–8 and 30), Cd (week 8) and Pb (weeks 14 and 30) in maternal urine.Weight and heightiNone of the maternal biomarkers was associated with anthropometric outcomes at 5 yearsSES, chewing tobacco during pregnancy, cooking on fire indoors, maternal education, season of the year in which the birth occurred, parity, sex of the child, anthropometric characteristics and gestational age at birth.9
Waist circumference
Philippat et al. 2014 [13] France (2003–2006) “EDEN” cohort
Follow up: 1 to 3 y (n = 520)
Phenols in maternal urine (week 22–29 of pregnancy).Weight, height and waist circumference (WC)WC growth rate (mm/week) in children from 1 to 3 years estimated by the increase in 1 IQR
2,4-DCP β = 2.34 (–0.19, 4.86)], 2,5-DCP [β = 2.18 (–0.91, 5.27)], BPA [β = 0.62 (–2.57, 3.81)], BP-3 [β = 1.18 (–1.36, 3.71)], Triclosan [β = 2.66 (–1.21, 6.53)], Methylparaben [β = 4.18 (0.70, 7.65)], Ethylparaben [β = 1.89 (–1.91, 5.69)]
Propylparaben [β = 3.37 (–0.30, 7.04)], Butylparaben [β = 3.61 (–0.43, 7.66)]
Maternal and paternal height, weight before pregnancy, maternal smoking (passive and active) during pregnancy, maternal education, recruitment center, parity and duration of breastfeeding.6
Cardiometabolic markers
Vafeiadi et al. 2016 [15] Greece (2007–2009) “Rhea” cohort
Follow up: 6 mo to 4 y (n = 235)
BPA free and conjugated in maternal urine (1st trimester of pregnancy) and child urine (3 and 5 years).BMIb,c, obesityh, waist circumference (WC), skin folds, blood pressurej and biochemical parameters in blood samplesk.BMI z-score at 4 y
Boys [β = 0.4 (0.005, 0.8)], girls [β = –0.4 (–0.9, 0.05)].
WC (cm)
Boys [β = 1.3 (–0.7, 3.2)], girls [β = –1.8 (–4.1, 0.5)].
Skin folds (mm)
Boys [β = 1.9 (–4.0, 7.8)], girls [β = –5.1 (–12.1, 1.9)].
Maternal variables: education, age, BMI before pregnancy, employment and smoking during pregnancy.
Variables of the child: birth weight for gestational age, breastfeeding, time to watch television and energy intake at 4 years.
7
Vafeiadi et al. 2015 [18] Greece (2007–2009) “Rhea” cohort
Follow up: 6 mo to 4 y (n = 689)
PCBs, DDE and HCB in maternal serum (1st trimester of pregnancy).BMIb,c, obesityh, waist circumference (WC), skinfolds, blood pressurej and biochemical parameters in blood samplesk.BMI z-score at 4 y
HCB: [β = 0.49 (0.12, 0.86)], DDE: [β = 0.27 (0.04, 0.51)]
Obesity HCB: RR = 8.14 (1.85, 35.81)], DDE: [RR = 3.80 (1.19, 12.14)]
WC > P
HCB: [RR = 3.49 (1.08, 11.28)], DDE: [RR = 3.76 (1.70, 8.30)]
Skin folds
HCB: [β = 7.71 (2.04, 13.39)], DDE: [β = 2.75 (–0.86, 6.35)]
Systolic blood pressure
HCB: [β = 4.34 (0.63, 8.05)], DDE: [β = 2.31 (–0.07, 4.69)]
Diastolic blood pressure
HCB: [β = 2.48 (–0.13, 5.09)], DDE: [β = 1.79 (0.13, 3.46)]
Exposure to PCBs was not associated with obesity or cardiometabolic risk factors in children
Maternal variables: triglycerides and cholesterol, age, BMI before pregnancy, parity, educational level, smoking during pregnancy.
Variables of the child: weight at birth, sex, lactation, gestational age and exact age at the time of measurement.
7
Tang-Péronard et al. 2015 [7] Faroe Islands (1997–2000)
Follow up: 5 y (n = 520)
PCBs and DDE in maternal serum (3rd trimester of pregnancy), HCB in breast milk (4–5 days after delivery).Insulin and leptin in blood sampleslInsulin > P75 Q4 vs. 1
PCBs: Boys [OR = 1.13 (0.51, 2.48)], girls [OR = 3.74 (1.36, 10.27)]
DDE: Boys [OR = 1.56 (0.71, 3.44)], girls [OR = 2.74 (1.08, 6.94)]
HCB: Boys [OR = 1.36 (0.80, 2.30)], girls [OR = 1.86 (0.99, 3.47]
Leptin > P75 Q4 vs. 1
PCBs: Boys [OR = 0.78 (0.34, 1.79)], girls [OR = 0.61 (0.24,1.53)]
DDE: Boys [OR = 1.01 (0.45, 2.28)], girls [OR = 0.75 (0.31,1.82)]
HCB: Boys [OR = 1.25 (0.67, 2.36)], girls [OR = 0.68 (0.34,1.36)]
Maternal age, BMI before pregnancy, parity, BMI of the child at 5 years of age and time of the day in which the blood sample was collected.8
Valvi et al. 2015 [19] Spain (2004–2006)
Follow up: 4 y (n = 391)
Phthalates in maternal urine (1st and 3rd trimesters of pregnancy).BMIb,c, overweighte, waist circumference (WC), waist/height ratio (WHtR) > 0.5, systolic and diastolic blood pressuremSystolic blood pressure (4 y)
ΣHMWPm
Girls T2 vs. 1[β = –0.30(–0.60, –0.01)]; T3 vs. 1[β = –0.32 (–0.62, –0.03)]
Boys T2 vs. 1[β = –0.01(–0.34, 0.32)]; T3 vs. 1[β = –0.06 (–0.39, 0.26)].
No association with WHtR was observed
Sex of the child, exact age at the time of measurement, characteristics of the mother (country of origin, age at birth, parity, education, social class, pre-pregnancy BMI and smoking in pregnancy).7
Kalish et al. 2014 [22] Massachusetts, USA (1999–2002) “Viva” Study
Follow up: 4 to 9 y (n = 1031)
Hg in maternal blood (2nd trimester of pregnancy).Blood pressurejPrenatal exposure to mercury was not associated with systolic blood pressure in childrenMaternal variables: age, race/ethnicity, education, smoking and prenatal alcohol consumption, fish consumption, marital status, height and weight before pregnancy and history of hypertension.
Variables of the child: age and sex.
6
Hawkesworth et al. 2013 [23] Bangladesh (2002–2009) “MINIMat” cohort
Follow up: 4.5 y (n = 1280)
As (week 8 and 30) and Cd (week 8) in maternal urine.Blood pressurejSystolic blood pressure (4.5 y)
As [β = 3.69 (0.74, 6.63)], Cd [β = –0.49 (–1.44, 0.45)]
Diastolic blood pressure (4.5 y)
As [β = 2.91 (0.41, 5.42)], Cd [β = –0.21 (–1.02, 0.59)]
Sex of the child, age, socioeconomic index of the parents, height at 4.5 years, season of the year in which the child was born and maternal blood pressure at the beginning of pregnancy.8

[i] Q: quartile; T: tertile; P: percentile; WC: waist circumference; AC: abdominal circumference; IQR: interquartile range; 2,5-DCP: 2,5 dichlorophenol; BP-3: Benzophenone-3; BPA: Bisphenol A; 2,4-DCP: 2,4 dichlorophenol; DEHP: Di (2-ethylhexyl) phthalate; ΣDEHP: summary measures for DEHP; ΣHMWPm: summary of high-molecular-weight phthalate metabolites; PFOA: perfluorooctanoate; PFOS: perfluorooctane sulfonate; PCBs: polychlorinated biphenyls; DDE: p,p´-dichlorodiphenyldichloroethylene; HCB: hexachlorobenzene; Hg: mercury; As: arsenic; Cd: cadmium. a% fat mass was calculated using the estimates reported by the bioelectrical impedance scale [(fat mass/weight) × 100]. bBMI was calculated as the weight(kg)/height(m2) and cwas transformed to z-score according to the sex and age of the children. eOverweight=BMI ≥ P85. fObesity=BMI ≥ P95. gOverweight=BMI>1SD. hOverweight (boys 17.39, girls 17.23) and obesity (boys 19.27, girls 19.2) classification according to the International Obesity Task Force (IOTF) at 5 years of age. iWeight for age and height for age. jBlood pressure was measured with a digital oscillometer. kBiochemical parameters were evaluated in blood samples obtained without fasting. lInsulin and leptin determination was performed using LuminexÒ mPercentiles according to sex, age and height of children.

Table 2

Quality assessment of the cohort studies (adapted from the Newcastle-Ottawa scale). The stars are obtained if the criterion written in italics is met.

Selection of the study groups
  1. Representativeness of the exposed cohort:

    1. Locally representative of pregnant women.

    2. Group of pregnant women with specific characteristics (ex. Women with low socioeconomic status, African-American women).

    3. Without description of the selection.

  2. Selection of the unexposed cohort:

    1. It comes from the same community as the exposed cohort (they share the same risk of being exposed to environmental contaminants during pregnancy).

    2. It comes from a different source.

  3. Exposure assessment:

    1. Two or more measurements taken during pregnancy.

    2. Single measurement during pregnancy.

    3. Without description.

Comparability of the groups
  1. Comparability between groups exposed/not exposed in the design or analysis

    1. It was controlled by characteristics of the mother in the statistical analysis.

    2. It was controlled by characteristics of the child in the statistical analysis.

    3. It was controlled by other environmental exposures in the statistical analysis.

    4. It was controlled by concurrent environmental exposures in the preschool age.

Outcome
  1. Outcome assessment:

    1. Measurement performed directly by personnel standardized in anthropometric methods and/or biochemical tests.

    2. Reliable sources independent of the study (medical records).

    3. Follow up questionnaire (self-report).

  2. The follow-up time was sufficient for outcome to occur:

    1. Yes (the age of evaluation in children is >4 years).

    2. No (the age of evaluation in children is <4 years).

  3. Proportion of the original cohort analyzed

    1. The entire cohort was analyzed.

    2. >80% of the original cohort was analyzed and/or was described the comparative analysis that proves that the study population is not different from the rest of the cohort.

    3. <80% of the original cohort was analyzed.

    4. Without information.

DOI: https://doi.org/10.29024/aogh.911 | Journal eISSN: 2214-9996
Language: English
Published on: Jul 27, 2018
Published by: Levy Library Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2018 Daniela S. Gutiérrez-Torres, Albino Barraza-Villarreal, Leticia Hernandez-Cadena, Consuelo Escamilla-Nuñez, Isabelle Romieu, published by Levy Library Press
This work is licensed under the Creative Commons Attribution 4.0 License.