Literature DB >> 29888739

The Environment and Reproductive Health (EARTH) Study: A Prospective Preconception Cohort.

Carmen Messerlian1, Paige L Williams2,3, Jennifer B Ford1, Jorge E Chavarro2,4, Lidia Mínguez-Alarcón1, Ramace Dadd1, Joseph M Braun5, Audrey J Gaskins4,6, John D Meeker7, Tamarra James-Todd1,2, Yu-Han Chiu4, Feiby L Nassan1,4, Irene Souter8, John Petrozza8, Myra Keller1, Thomas L Toth8, Antonia M Calafat9, Russ Hauser1,2,10.   

Abstract

BACKGROUND: The Environment and Reproductive Health (EARTH) Study is an ongoing prospective preconception cohort designed to investigate the impact of environmental, nutritional, and lifestyle factors among both women and men on fertility and pregnancy outcomes.
METHODS: The EARTH Study recruits women 18 to 45 years and men 18 to 55 years seeking fertility evaluation and treatment at the Massachusetts General Hospital (MGH) Fertility Center, Boston, USA. Women and men are eligible to join either independently or as a couple. Participants are followed from study entry throughout each fertility treatment cycle, once per trimester of pregnancy (for those achieving pregnancy), and up to labor and delivery, or until they discontinue treatment or withdraw from the study. The study collects biological samples, self-reported questionnaire data (including a food frequency questionnaire) and clinically abstracted information.
RESULTS: As of June 2017, the study cohort included 799 women and 487 men (447 couples; 40 men joined without female partners). Women were on average 34.7 years old at time of enrolment and predominantly Caucasian (81%), educated (49% have a graduate degree), and nulliparous (83%). Men were on average 36.6 years at baseline and mostly Caucasian (86%) and never-smokers (67%).
CONCLUSIONS: The EARTH Study is one of the few cohorts designed to examine multiple potentially critical windows of vulnerability, including the paternal and maternal preconception windows and the periconception and prenatal windows in pregnancy. It is also one of the few human studies that has assessed potential interactions between environmental exposures and dietary factors.

Entities:  

Keywords:  cohort; diet; environmental exposures; infertility; male and female reproduction; preconception; pregnancy; prospective

Year:  2018        PMID: 29888739      PMCID: PMC5990043          DOI: 10.1093/hropen/hoy001

Source DB:  PubMed          Journal:  Hum Reprod Open        ISSN: 2399-3529


Introduction

Accumulating epidemiologic evidence over the last several decades has shown associations of environmental chemicals with adverse reproductive health outcomes, including male and female infertility, poor pregnancy outcomes and increased risk of diseases in childhood and beyond (Woodruff ; Bergman ). Nutritional factors also impact reproductive health both directly and by modifying the potential effects of some environmental chemicals on these same endpoints (Sharpe and Franks, 2002; Homan ). Most studies to date have been designed to examine environmental or nutritional factors during pregnancy on fetal and infant health but few studies have simultaneously assessed environmental and nutritional exposures, and even fewer have included assessments during the preconception period. Experimental animal studies and limited human studies have shown that the sensitive window of exposure for fetal and infant health includes the preconception period in both women and men (Chapin ; Braun ; Louis ). Investigating the maternal and paternal preconception period is challenging in most observational studies and requires a design that identifies and recruits women and men attempting pregnancy to be followed until conception and onward (Buck Louis ). Furthermore, early and sensitive reproductive endpoints of interest (e.g. ovarian follicle growth, fertilization, implantation, biochemical pregnancy loss) in relation to diet and environmental chemical exposures are largely unobservable in population-based designs. This article reports on a cohort known as the Environment and Reproductive Health (EARTH) Study, which looks at the impact of environment, diet and lifestyle factors on human reproduction. Previous research has found links between environmental chemicals and fertility and miscarriage, but this study was wider as it looked at the effects of exposures in both men and women in the preconception period, as well diet and lifestyle and followed the participants through each stage of their fertility journey. The researchers looked at couples that had come to a large academic fertility center, and used questionnaires and samples such as blood, urine and semen to analyse what impact different exposures had on the chances of a successful pregnancy. The study found that couples with certain environmental chemicals in their samples had a lower chance of a successful outcome from treatment, but a healthy diet had a positive impact on the chances of success for both men and women. Caffeine did not make a difference for women, but it did for men. Women doing jobs that involved heavy lifting were found to have a lower chance of success. Eating fruit and vegetables with high pesticide residue was linked to lower fertility. The researchers suggest that since these couples were experiencing fertility problems they may be more sensitive to the factors examined in this study, but findings may still be of interest to others having difficulty conceiving. In an effort to address these challenges, we established the Environment and Reproductive Health (EARTH) Study, an ongoing prospective preconception cohort of couples seeking care at the Massachusetts General Hospital (MGH) Fertility Center, Boston, USA, to investigate environmental, nutritional and lifestyle factors among both women and men in relation to fertility and pregnancy outcomes. The EARTH Study was designed to examine multiple potentially relevant periods of vulnerability, including the paternal and maternal preconception windows as well as the periconception and prenatal windows in pregnancy. The study has been funded by the National Institute of Environmental Health Sciences since its inception in 2004. A comprehensive assessment of diet was added in 2007. Future goals include following the children of the couples, as well as the mothers and fathers who enrolled in the EARTH Study.

Materials and Methods

Participant eligibility and recruitment

The EARTH Study recruits women and men seeking fertility evaluation and medically assisted reproductive treatment at the Massachusetts General Hospital (MGH) Fertility Center. Women aged 18–45 years, and men 18–55 years who have not had a vasectomy and who are not taking hormones at the time of enrollment, are eligible to join either independently or as a couple. The study has strong support and collaboration from physicians and other medical personnel from the MGH Fertility Center who identify potentially eligible patients in their practice and briefly inform them of the study at any point during their care, including at the start of their fertility investigation or after initiating treatment. A study staff member then approaches potential participants and further determines their eligibility and interest. The study staff provides each potential participant with complete information about the requirements and expectations of enrolling in the EARTH Study and answers questions. All participants agreeing to join in the study provide written informed consent. The study was approved by the Institutional Review Boards of MGH (Partners), Harvard T.H. Chan School of Public Health and the Centers for Disease Control and Prevention (CDC).

Design and follow-up

All participants enrolling in the EARTH Study are scheduled for a detailed entry visit with a study staff member. During this first visit, female and male participants complete a series of baseline questionnaires, undergo anthropometric measurements, and provide a spot urine and blood sample. They are also given a comprehensive self-reported questionnaire (take-home or online) (Fig. 1). Couples trying to conceive using medically assisted reproduction undergo different types of treatment, including IVF-based technologies (i.e. fresh or frozen IVF protocols, including ICSI) and non-IVF based treatments (i.e. IUI, ovulation induction and ovarian stimulation). Both IVF and non-IVF based treatments require careful and detailed cycle follow-up at the clinic. During the monitoring phase of the treatment cycle (approximate follicular Days 3–9), women provide a single spot urine sample and non-fasting blood sample, and at the same time complete a questionnaire regarding personal care product (PCP) use in the past 24 h. Following the monitoring phase, on the clinic visit day of the scheduled fertility procedure [i.e. on day of oocyte-retrieval (for fresh IVF protocols) or embryo transfer (for frozen IVF protocols) or on day of IUI procedure (for non-IVF based cycles)], women complete another PCP use questionnaire and provide an additional spot urine sample (Fig. 1). For women undergoing oocyte retrieval, a follicular fluid sample is also collected. All women are followed to determine pregnancy status after each individual treatment cycle, which includes a routine β-hCG blood test on Days 12–17 following the IVF or IUI procedure day. Women achieving a positive pregnancy test undergo an ultrasound scan at approximately gestational week 6 for clinical confirmation of an intrauterine pregnancy and are followed throughout the prenatal period. Pregnant participants provide a spot urine and non-fasting blood sample and complete a PCP use questionnaire once per trimester at ~6, 24 and 33 weeks gestation (Fig. 1).
Figure 1

Maternal and Paternal Assessment in the Environment and Reproductive Health (EARTH) Study. Female participants: Study entry (SE) assessment includes: baseline urine and blood samples, and completion of the baseline and full questionnaires (includes the Food Frequency Questionnaire). Treatment (Tx) cycle (i) denotes any number of followed cycles including those treated with IVF-based technologies or non-IVF based procedures. Assessment at two points in time during each Tx cycle: S1—includes the first spot urine sample and blood sample collected during the follicular phase of the cycle (Days 3–9) and the completion of the Product Use Questionnaire at the same point in time. S2—includes the second spot urine sample collected at the time of scheduled treatment procedure (oocyte retrieval, embryo transfer or IUI) and a follicular fluid sample collected during oocyte retrievals. All SE, S1 and S2 samples represent exposure in the maternal preconception period. Tx (c) denotes the index cycle of conception. Clinical information about the mode of conception (IVF-based, non-IVF based or non-medically assisted) is abstracted from electronic medical records by trained study staff. S1 and S2 samples collected in the index conception represent exposure in the maternal periconception period. P1/P2/P3—includes a single urine sample and blood sample and Produce Use Questionnaires collected in the first, second and third trimester of pregnancy, respectively. P1, P2 and P3 samples collected following the index conception represent the maternal prenatal exposure period. Male participants: SE assessment includes: baseline urine and blood samples, and completion of the Baseline and Full Questionnaires (includes the Food Frequency Questionnaire). Men also provide a semen sample and an abstinence time questionnaire at baseline if their study entry visit coincides with a routine semen sample collection. Assessment at Tx cycle: S1 includes a spot urine sample, blood sample and semen sample along with the abstinence time questionnaire on the day their female partner undergoes their scheduled fertility treatment procedure. SE and S1 samples collected up to the index conception represent the paternal preconception exposure period.

Maternal and Paternal Assessment in the Environment and Reproductive Health (EARTH) Study. Female participants: Study entry (SE) assessment includes: baseline urine and blood samples, and completion of the baseline and full questionnaires (includes the Food Frequency Questionnaire). Treatment (Tx) cycle (i) denotes any number of followed cycles including those treated with IVF-based technologies or non-IVF based procedures. Assessment at two points in time during each Tx cycle: S1—includes the first spot urine sample and blood sample collected during the follicular phase of the cycle (Days 3–9) and the completion of the Product Use Questionnaire at the same point in time. S2—includes the second spot urine sample collected at the time of scheduled treatment procedure (oocyte retrieval, embryo transfer or IUI) and a follicular fluid sample collected during oocyte retrievals. All SE, S1 and S2 samples represent exposure in the maternal preconception period. Tx (c) denotes the index cycle of conception. Clinical information about the mode of conception (IVF-based, non-IVF based or non-medically assisted) is abstracted from electronic medical records by trained study staff. S1 and S2 samples collected in the index conception represent exposure in the maternal periconception period. P1/P2/P3—includes a single urine sample and blood sample and Produce Use Questionnaires collected in the first, second and third trimester of pregnancy, respectively. P1, P2 and P3 samples collected following the index conception represent the maternal prenatal exposure period. Male participants: SE assessment includes: baseline urine and blood samples, and completion of the Baseline and Full Questionnaires (includes the Food Frequency Questionnaire). Men also provide a semen sample and an abstinence time questionnaire at baseline if their study entry visit coincides with a routine semen sample collection. Assessment at Tx cycle: S1 includes a spot urine sample, blood sample and semen sample along with the abstinence time questionnaire on the day their female partner undergoes their scheduled fertility treatment procedure. SE and S1 samples collected up to the index conception represent the paternal preconception exposure period. In addition to baseline questionnaires, anthropometric measurements, and blood and urine specimens, men provide a semen sample and complete an abstinence time questionnaire at enrollment if their study entry visit coincides with a routine semen sample collection. On the day their female partner undergoes their scheduled fertility treatment procedure, male participants provide another spot urine sample, non-fasting blood sample and semen sample along with the abstinence time questionnaire (Fig. 1). For men participating without their female partner, we obtain consent to release the birth and newborn nursery records from the delivering hospital.

Data and biospecimen collection

The EARTH Study prospectively collects a combination of biological samples, self-reported questionnaire data and medical information abstracted from the fertility clinic and delivery records (Table I).
Table I

Summary of measurements collected in women (X) and men (Y) in the Environment and Reproductive Health (EARTH) Study.

Measurement categoryMeasurement or sampleStudy visits
EntryPer cyclePer pregnancy
VisitVisit 1Visit 2Visit 1Visit 2Visit 3
Biological Samples
UrineX, YXX, YXXX
BloodX, YX, YXXX
 SerumX, YX, YXXX
 Blood clotX, YX, YXXX
 Whole bloodX, YX, YXXX
Follicular fluidX
 Supernatant
 Cell pellet
SemenYY
HairX
Children’s teeth
Questionnaires
DemographicsX, Y
Medical historyX, Y
Reproductive historyX, Y
Occupation historyX, Y
LifestyleX, Y
Diet/food frequencyX, Y
Personal care product useX, YXX
Male abstinenceYY
Data Abstraction
Fertility clinic records (infertility diagnosis)X, Y
Fertility records (ART medications)X
Fertility clinic (ART/IUI outcomes)X
Pregnancy records (prenatal follow-up data)XXX
Labor/delivery records (maternal and infant delivery outcomes)X
Anthropometry
WeightX, YX
HeightX, Y
Environmental Samples
DustX, Y
Summary of measurements collected in women (X) and men (Y) in the Environment and Reproductive Health (EARTH) Study.

Biological samples

The EARTH Study was designed to examine exposures across several windows: paternal and maternal preconception windows, and maternal periconception and prenatal windows. We obtain prospective repeated urine and blood samples at several times during these periods (Fig. 1). There is also an optional voluntary hair sample collection. All samples were collected using methods to minimize exogenous contamination by known environmental chemicals (Calafat ). To date, we have collected 32 792 and 8967 urine aliquots, and 8156 and 3875 blood aliquots from women and men, respectively. These have been archived and stored at the Harvard T.H. Chan School of Public Health, Boston, MA, USA. The CDC has quantified urinary biomarkers of > 40 chemicals, including phthalates and di-isononyl cyclohexane-1,2-dicarboxylate metabolites, phenols (e.g. bisphenol A, triclosan, parabens), and pesticides (metabolites of organophosphates, pyrethroids, 2,4-dichlorophenoxyacetic acid and N,N-diethyl-m-toluamide). Organophosphate flame-retardants and polybrominated diphenyl ethers were measured at Duke University, Durham, NC, USA. In whole blood, we have quantified heavy metals and metalloids (e.g. lead, cadmium, manganese) at the Mount Sinai School of Medicine, New York, NY, USA, in a subgroup of 150 women. We have measured serum folate, vitamin B12, fatty acids and vitamin D concentrations among 100 women. Among 558 women, we have also analyzed serum for thyroid hormones (thyroid-stimulating hormone, free thyroxine 4 (T4), T4, free tri-iodothyronine (T3), T3, thyroglobulin, and thyroperoxidase antibodies). To date, we have quantified mercury in more than 1200 hair samples. We have also analyzed more than 1200 semen samples for standard semen quality parameters. From participants undergoing oocyte retrieval, we have stored 6041 follicular fluid aliquots and we have to date analyzed 147 of them from 143 women for phthalate metabolites and phenols. In small pilot studies, we have measured non-coding micro-RNAs in semen, and obtained and archived amniotic fluid samples.

Self-reported questionnaires

Both female and male participants complete the Baseline Questionnaire (BQ), which includes demographic, medical history and lifestyle questions (Table I). They also complete the self-reported Full Questionnaire (FQ) with information on family, medical and reproductive history, occupational history and lifestyle (e.g. physical-activity, frequency of tobacco, alcohol and illicit substance use) and the Food Frequency Questionnaire (FFQ). Overall, 95% of women (n = 759/799) and 99% of men (n = 484/487) completed the BQ; 91% of women (n = 729/799) and 77% of men (n = 376/487) completed the FQ. The Product Use Questionnaire is administered at baseline and once per treatment cycle to identify recent exposure to, and time since last use of, common products including lotions, soaps, cleaning products, plastics, pesticides, smoking and secondhand tobacco smoke exposure, specific foods, weight loss/weight gain products, and over-the-counter and prescription pharmaceuticals.

Diet assessment

Diet is assessed using a previously validated self-administered FFQ (Rimm ; Yuan ). Participants are asked to report how often, on average, they consumed specified amounts of the 131 foods, beverages and supplements listed in the questionnaire over the past year with nine possible response categories ranging from never/almost never to ≥6 times per day. Open-ended questions are used for usual brand and type of margarine, cooking oil, cold breakfast cereal and multivitamins. Intakes for over 100 nutrients and non-nutritive food constituents are estimated by linking participant responses to a custom nutrient composition database maintained and updated by the Department of Nutrition, Harvard T. H. Chan School of Public Health.

Other environmental and biological samples

We have collected 240 home dust samples and 120 primary teeth from children of EARTH Study participants. For a small subset of volunteers (118 women and 52 men) we also measured personal electromagnetic fields using a portable magnetic field monitor. Recently, using couples’ self-reported residential addresses at study entry, we estimated distance to a major roadway, near-residence traffic density and particulate matter <2.5 µm, Black Carbon, NO2, CO and SO2 concentrations during each fertility treatment cycle.

Electronic medical record abstraction—cycle, pregnancy and delivery data

We have an extensive clinical abstraction process to obtain prospective data during each individual fertility treatment cycle and throughout follow-up (up to the birth of an infant for those achieving pregnancy). Trained study staff abstract pertinent clinical information from the electronic medical records at the MGH to ascertain the outcome of each cycle, including mode of conception, cycle cancellation, oocyte parameters, early embryo development, implantation, biochemical pregnancy (with β-hCG measurements), clinical pregnancy (with ultrasound assessment), physician-assigned infertility diagnosis, polycystic ovary syndrome, terminations, pregnancy complications and pathology, glucose tolerance tests during pregnancy and delivery outcomes (e.g. livebirths, stillbirths, birthweight, gestational age, infant sex, complications and pathologies).

Anthropometry

At study entry, trained study staff measure and record each participant’s height, weight and waist circumference. Additional weight measurements taken during routine prenatal visits are abstracted from electronic medical records.

Child follow-up

Two pilot studies have been conducted on small subsets of children born to EARTH Study participants. In one, we measured anogenital distance in male and female infants at 3–18 months of age. In the second, we assessed behavior in 166 children via parent-completed mailed questionnaires adapted from the Behavior Assessment System for Children (BASC, second edition), Social Responsiveness Scale and Preschool Activity Inventory (Golombok and Rust, 1993; Constantino and Gruber, 2012; Reynolds and Kamphaus, 1998).

Results

Study population

Among patients initially approached by the EARTH Study staff as of June 2017, ~65% (N = 806) of women and 45% of men (n = 492) were eligible and agreed to enroll (Fig. 2). Participants are followed from study entry throughout their fertility care, pregnancy and birth (for those achieving pregnancy), or until they discontinue treatment or withdraw from the study. During the course of follow-up, seven women and five men discontinued treatment or withdrew. As of June 2017, the cohort included 799 women and 487 men (447 couples; 40 men joined without female partners) (Fig. 2). Women in the EARTH Study were on average 34.7 years old with a BMI of 24.6 kg/m2 at time of enrollment (Table II). They are predominately Caucasian (81%), highly educated (49% have a graduate degree), never-smokers (73%) and nulliparous (87%). Approximately one-third of women (36%) have a female factor of infertility as their primary diagnosis. Men were on average 36.6 years old with a BMI of 27.5 kg/m2 at time of enrollment. Most men are Caucasian (86%), highly educated (41% have a graduate degree) never-smokers (67%), and 30% have a male factor as their primary infertility diagnosis (Table II).
Figure 2

Participant Flow Chart for the EARTH Study. BQ, Baseline Questionnaire; FQ, Full Questionnaire (includes the Food Frequency Questionnaire). Biochemical pregnancy loss is defined as the demise of a β-hCG-confirmed pregnancy that was never visualized on ultrasound. Clinical pregnancy loss is defined as the demise of an ultrasound confirmed intrauterine pregnancy up to 20 weeks gestation. IVF cycles include fresh and frozen IVF-based protocols. IUI cycles include all non-IVF based procedures such as IUI, ovulation induction and ovarian stimulation. Non-medically assisted cycles are those that were conceived naturally without treatment.

Table II

Characteristics of 799 women and 487 men (447 couples) participating in the EARTH Study from 2004 to 2017.

CharacteristicWomen N = 799Men N = 487
Age (years)
 Mean (SD)34.7 (4.5)36.6 (5.4)
 Age > 35, n (%)345 (43)273 (56)
Race, n (%)
 White651 (81)419 (86)
 Black39 (5)15 (3)
 Asian71 (9)34 (7)
 Other38 (5)19 (4)
BMI (kg/m2)
 Mean (SD)24.6 (4.9)27.5 (4.5)
 BMI > 25, n (%)283 (35)346 (71)
Education, n (%)
 <College60 (8)55 (11)
 College graduate231 (29)136 (28)
 Graduate degree392 (49)198 (41)
 Missing116 (14)98 (20)
Smoking status, n (%)
 Never583 (73)327 (67)
 Former192 (24)131 (27)
 Current24 (3)29 (6)
Primary infertility diagnosis, n (%)
 Male factor196 (24)146 (30)
 Female factor285 (36)166 (34)
 Diminished ovarian reserve90/285
 Ovulation disorders106/285
 Endometriosis36/285
 Uterine disorders11/285
 Tubal factor42/285
 Unexplained318 (40)175 (36)
Nulliparous at study entry, n (%)
698 (87)
Live births, n (%)
 Singletons, n (%)387/563 (69)
 Multiples, n (%)176/563 (31)
Participant Flow Chart for the EARTH Study. BQ, Baseline Questionnaire; FQ, Full Questionnaire (includes the Food Frequency Questionnaire). Biochemical pregnancy loss is defined as the demise of a β-hCG-confirmed pregnancy that was never visualized on ultrasound. Clinical pregnancy loss is defined as the demise of an ultrasound confirmed intrauterine pregnancy up to 20 weeks gestation. IVF cycles include fresh and frozen IVF-based protocols. IUI cycles include all non-IVF based procedures such as IUI, ovulation induction and ovarian stimulation. Non-medically assisted cycles are those that were conceived naturally without treatment. Characteristics of 799 women and 487 men (447 couples) participating in the EARTH Study from 2004 to 2017.

Cycle endpoints

Participants have been followed for a total of 813 IVF-based treatment cycles, 941 non-IVF based treatment cycles and 151 non-medically assisted/naturally conceived cycles during follow-up in the EARTH Study. These 1905 initiated cycles resulted in 713 pregnancies of which 11% (n = 76/713) were only chemically detected by a β-hCG blood test and not clinically visualized on ultrasound (biochemical losses). Among the remaining 637 ultrasound-confirmed pregnancies, 19% ended in a spontaneous loss before 20 weeks gestation, 1% ended in a therapeutic abortion, 2% in ectopic loss, 1% ended in stillbirth (loss on or after 20 weeks) or were lost to follow-up during pregnancy (2%) (Fig. 2). There have been 474 successful pregnancies resulting in 563 live births: 387 singletons and 176 multiples (85 pairs of twins, two sets of triplets). Among these births, 47 females and 17 males were recurrent participants who returned for further treatment and delivered (or their female partner delivered) one singleton and 46 twins. The overall live birth rate per initiated cycle is 26% (n = 487/1905) and the live birth rate among cycles achieving pregnancy is 68% (n = 487/713). Among IVF only cycles, the live birth rate per initiated cycle is 37% (n = 299/813) and the live birth rate among cycles achieving pregnancy is 80% (n = 299/375).

Key findings

A summary of key environmental chemical, dietary and lifestyle factor findings can be found in Table III.
Table III

Key findings in the EARTH Study.

Studies on endocrine disrupting chemicals
Study participantEDCKey findingReference
Women undergoing ARTDEHPDecreased oocyte yield Hauser et al. (2016)
Women undergoing ARTDEHPDecreased probability of clinical pregnancy Hauser et al. (2016)
Women undergoing ARTDEHPDecreased probability of live birth Hauser et al. (2016)
Women conceiving with ART or non-ARTDEHPIncreased pregnancy loss Messerlian et al. (2016b)
Men with female partner undergoing ARTDOP and DiNPDecreased odds of implantation Dodge et al. (2015)
Men with female partner undergoing ARTDOP and DiNPDecreased odds of live birth Dodge et al. (2015)
Women undergoing ARTBPA (modification by soy)Among women not consuming soy, BPA associated with decreased probability of implantation, clinical pregnancy and live birth Minguez-Alarcon et al. (2016)
Women undergoing ARTBPA (modification by folate)Among women consuming <400 μg food folate/day, BPA associated with decreased probability of implantation, clinical pregnancy and live birth Chavarro et al. (2016)
Female EARTH Study participantsDEHPDecreased number of antral follicles measured on Day 3 of an unstimulated cycle Messerlian et al. (2016a)
Female EARTH Study participantsBPADecreased number of antral follicles measured on Day 3 of an unstimulated cycle Souter et al. (2013)
Female EARTH Study participantsBPAIncreased maternal blood glucose levels Chiu et al. (2017)
Male EARTH Study participantsDBPDecreased sperm concentration Hauser et al. (2006)

EDC, Endocrine Disrupting Chemical; DEHP, di-(2-ethylhexyl) phthalate; DOP, Di-n-octyl phthalate; DiNP, Di-isononyl phthalate; DBP, Di-n-butyl phthalate; BPA, Bisphenol A.

Key findings in the EARTH Study. EDC, Endocrine Disrupting Chemical; DEHP, di-(2-ethylhexyl) phthalate; DOP, Di-n-octyl phthalate; DiNP, Di-isononyl phthalate; DBP, Di-n-butyl phthalate; BPA, Bisphenol A.

Environmental chemicals

Among women in the EARTH Study undergoing ART, higher urinary concentrations of metabolites of di-(2-ethylhexyl) phthalate (DEHP) were associated with reduced oocyte yields, lower likelihood of clinical pregnancy, increased risk of pregnancy loss and lower likelihood of live birth following infertility treatment (Hauser ; Messerlian ). Certain urinary phthalate metabolite concentrations among men were also associated with decreased odds of implantation and live birth (Dodge ). Maternal soy and folate intake significantly modified the association between bisphenol A (BPA) and IVF outcomes in women (Chavarro ; Minguez-Alarcon ). We also found that urinary biomarkers of environmental chemicals (BPA and DEHP) were associated with antral follicle count (AFC) measured by ultrasound on Day 3 of the follicular phase of a woman’s unstimulated menstrual cycle (Souter ; Messerlian ,b), and BPA was associated with higher second trimester glucose levels (Chiu ). Among men, higher monobutyl phthalate concentrations were associated with decreased semen quality in a dose-dependent manner (Hauser ).

Nutrition and lifestyle factors

Among women undergoing ART, we found that pre-treatment intake of folate and vitamin B12 (Gaskins , 2015), whole grains (Gaskins ), and soy products (Vanegas ) were each independently and positively related to the probability of live birth. Maternal serum vitamin D levels were also positively associated with fertilization rates; however, this did not lead to a higher probability of pregnancy or live birth (Abadia ). Paternal habitual caffeine intake was negatively associated with live birth, while maternal caffeine intake was not (Abadia ). Maternal vigorous activity prior to ART treatment was positively associated with probability of live birth among women of normal BMI but not among overweight or obese women (Gaskins ,b). Within occupational factors, women who reported lifting/moving heavy objects at work had fewer total and mature oocytes, as well as a small reduction in mean AFC, compared with women who reported never lifting/moving heavy objects (Minguez-Alarcon ). In the EARTH Study, men’s soy food intake was negatively associated with sperm concentration (Chavarro ). Saturated (Attaman ) and trans fatty acid intake was also inversely associated with sperm concentration (Chavarro ). Fish intake and omega 3 fatty acids (Attaman, Toth, Furtado, Campos, Hauser and Chavarro, 2012) were associated with an increase in percentage of morphologically normal sperm (Afeiche ), while processed meat was associated with the opposite effect (Afeiche, Gaskins, Williams, Toth, Wright, Tanrikut, Hauser and Chavarro, 2014). High pesticide-residue fruit and vegetable intake was associated with lower total sperm and lower morphologically normal sperm counts (Chiu ). Among the lifestyle factors examined, physical activity had a positive effect on sperm concentration, while a BMI ≥35 kg/m2 was associated with lower total sperm count (Chavarro ). We found no association between mobile phone use and semen parameters in this cohort (Lewis ).

PCP use and exposure

The EARTH Study has also identified determinants of environmental exposures, particularly due to PCP use. We evaluated whether questionnaire-based self-reported use of PCPs predicted urinary biomarkers of phthalates and parabens in men (Supplementary Fig. S1) and women (Supplementary Fig. S2) (Braun ; Nassan ). Lotion, cosmetic and cologne/perfume use were associated with increases in urinary phthalate metabolite and paraben concentrations, although the magnitude of individual biomarker increases varied by product used. We also found that the total number of PCPs used was predictive of urinary phthalate metabolite and paraben concentrations.

Discussion

The EARTH Study is one of the few cohorts to have repeated exposure measurements-including biospecimen data from men and women from the period before conception, throughout attempted pregnancy cycles, and from each trimester among pregnant participants (Fig. 1). There are several advantages to collecting multiple biospecimens from men and women over an extended time. First, we can identify distinct periods of sensitivity and account for the correlation between exposure windows and within couples. Second, having more than one urine or blood sample for each exposure window reduces the potential for exposure misclassification, particularly for chemicals with short half-lives such as phthalates and phenols. We are also able to study the largely unexplored pre- and peri-conception periods as we have at least one urine sample collected from men and women from this window. The EARTH Study has measured more than 40 different biomarkers of environmental chemical exposures, thus enabling us to investigate the relationships between mixtures of chemicals and endpoints of interest. The study is designed to assess very early pregnancy stages and outcomes for each attempted cycle, allowing for the evaluation of endpoints that are unobservable in most pregnancy cohorts. Documentation of outcomes is also highly accurate as it relies on clinical abstraction of cycle endpoints by trained study staff. We also have comprehensive covariate data collected through self-reported measures as well as from electronic medical records. Finally, owing to the intensive collection of dietary data, the EARTH Study is also one of the few human studies able to assess potential interactions between environmental chemicals and dietary factors, which is an important and emerging area of research. While the fertility clinic setting provides the opportunity to measure environmental exposures across different windows of vulnerability and evaluate their potential effects on critical early fertility, pregnancy and delivery outcomes, the findings may be less generalizable to naturally conceived pregnancies (Messerlian and Gaskins, 2017). Pregnancies conceived to subfertile couples may also be more vulnerable to exposures and results may be specific to the population under study. However, this potential concern is outweighed by the study strengths—a research design that is internally valid and sufficiently powered to explore previously unstudied paternal and maternal exposures in relation to relevant and measurable endpoints. We further believe that this vulnerable population represents an important public health subpopulation given the growing number of babies born using IVF-based treatment: estimated to be 1.6% of all births or >68 000 births annually in the USA, with even higher proportions in certain European nations. The fraction of births using non-IVF based treatment is even higher at ~4.6% (~191 000 births), totaling >250 000 births per year in the USA (Dyer ; Schieve ; Sunderam ; Zegers-Hochschild ). One particular challenge, however, in studying an infertile subpopulation involves the complexity of disentangling the effects of underlying infertility or its treatment from the exposure—outcome association of interest. The study is limited by the absence of fertile couples as a comparison group that is unconfounded by infertility or its treatment. Nevertheless, we attempt to control for causes of infertility and treatment either through adjustment or stratification (Messerlian ). Analytical plans have also relied on the use of directed acyclic graphs to identify potential confounders that are not causal intermediates between exposure and outcomes (Messerlian and Gaskins, 2017). Furthermore, while we can control for many potential confounders, we cannot adjust for some co-exposures to unmeasured environmental chemicals or other unknown determinants of both exposure and health outcomes. Lastly, while the EARTH Study has tested many a priori hypotheses, we have undertaken multiple comparisons and cannot rule out the possibility that some of our findings may be spurious or due to chance.

Where can I find out more?

The EARTH Study has been carried out in collaboration with students, post-doctoral and clinical fellows and visiting scientists, and welcomes the opportunity for new and continued collaborations. All enquiries should be made to Dr. Russ Hauser, Principal Investigator of the EARTH Study, Harvard T.H. Chan School of Public Health (rhauser@hsph.harvard.edu). More information about the study and a complete list of our publications can be found at: https://www.hsph.harvard.edu/earth/ Click here for additional data file.
  44 in total

1.  Fathers Matter: Why It's Time to Consider the Impact of Paternal Environmental Exposures on Children's Health.

Authors:  Joseph M Braun; Carmen Messerlian; Russ Hauser
Journal:  Curr Epidemiol Rep       Date:  2017-01-11

2.  Validity of a Dietary Questionnaire Assessed by Comparison With Multiple Weighed Dietary Records or 24-Hour Recalls.

Authors:  Changzheng Yuan; Donna Spiegelman; Eric B Rimm; Bernard A Rosner; Meir J Stampfer; Junaidah B Barnett; Jorge E Chavarro; Amy F Subar; Laura K Sampson; Walter C Willett
Journal:  Am J Epidemiol       Date:  2017-04-01       Impact factor: 4.897

3.  Altered semen quality in relation to urinary concentrations of phthalate monoester and oxidative metabolites.

Authors:  Russ Hauser; John D Meeker; Susan Duty; Manori J Silva; Antonia M Calafat
Journal:  Epidemiology       Date:  2006-11       Impact factor: 4.822

4.  Serum 25-hydroxyvitamin D concentrations and treatment outcomes of women undergoing assisted reproduction.

Authors:  Laura Abadia; Audrey J Gaskins; Yu-Han Chiu; Paige L Williams; Myra Keller; Diane L Wright; Irene Souter; Russ Hauser; Jorge E Chavarro
Journal:  Am J Clin Nutr       Date:  2016-07-27       Impact factor: 7.045

5.  The association between pre-treatment maternal alcohol and caffeine intake and outcomes of assisted reproduction in a prospectively followed cohort.

Authors:  L Abadia; Y-H Chiu; P L Williams; T L Toth; I Souter; R Hauser; J E Chavarro; A J Gaskins
Journal:  Hum Reprod       Date:  2017-09-01       Impact factor: 6.918

6.  Associations between paternal urinary phthalate metabolite concentrations and reproductive outcomes among couples seeking fertility treatment.

Authors:  L E Dodge; P L Williams; M A Williams; S A Missmer; I Souter; A M Calafat; R Hauser
Journal:  Reprod Toxicol       Date:  2015-10-09       Impact factor: 3.143

7.  Dietary folate and reproductive success among women undergoing assisted reproduction.

Authors:  Audrey J Gaskins; Myriam C Afeiche; Diane L Wright; Thomas L Toth; Paige L Williams; Matthew W Gillman; Russ Hauser; Jorge E Chavarro
Journal:  Obstet Gynecol       Date:  2014-10       Impact factor: 7.661

8.  Optimal Exposure Biomarkers for Nonpersistent Chemicals in Environmental Epidemiology.

Authors:  Antonia M Calafat; Matthew P Longnecker; Holger M Koch; Shanna H Swan; Russ Hauser; Lynn R Goldman; Bruce P Lanphear; Ruthann A Rudel; Stephanie M Engel; Susan L Teitelbaum; Robin M Whyatt; Mary S Wolff
Journal:  Environ Health Perspect       Date:  2015-07       Impact factor: 9.031

Review 9.  Off to a good start: the influence of pre- and periconceptional exposures, parental fertility, and nutrition on children's health.

Authors:  Robert E Chapin; Wendie A Robbins; Laura A Schieve; Anne M Sweeney; Sonia A Tabacova; Kay M Tomashek
Journal:  Environ Health Perspect       Date:  2004-01       Impact factor: 9.031

10.  Assisted Reproductive Technology Surveillance - United States, 2014.

Authors:  Saswati Sunderam; Dmitry M Kissin; Sara B Crawford; Suzanne G Folger; Denise J Jamieson; Lee Warner; Wanda D Barfield
Journal:  MMWR Surveill Summ       Date:  2017-02-10
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  49 in total

1.  Organophosphate flame-retardant metabolite concentrations and pregnancy loss among women conceiving with assisted reproductive technology.

Authors:  Carmen Messerlian; Paige L Williams; Lidia Mínguez-Alarcón; Courtney C Carignan; Jennifer B Ford; Craig M Butt; John D Meeker; Heather M Stapleton; Irene Souter; Russ Hauser
Journal:  Fertil Steril       Date:  2018-11       Impact factor: 7.329

2.  Methodological approaches to analyzing IVF data with multiple cycles.

Authors:  Jennifer Yland; Carmen Messerlian; Lidia Mínguez-Alarcón; Jennifer B Ford; Russ Hauser; Paige L Williams
Journal:  Hum Reprod       Date:  2019-03-01       Impact factor: 6.918

3.  Association of self-reported personal care product use with blood glucose levels measured during pregnancy among women from a fertility clinic.

Authors:  Andrea Bellavia; Lidia Mínguez-Alarcón; Jennifer B Ford; Myra Keller; John Petrozza; Paige L Williams; Russ Hauser; Tamarra James-Todd
Journal:  Sci Total Environ       Date:  2019-08-09       Impact factor: 7.963

4.  Urinary triclosan concentrations and semen quality among men from a fertility clinic.

Authors:  Feiby L Nassan; Lidia Mínguez-Alarcón; Paige L Williams; Ramace Dadd; John C Petrozza; Jennifer B Ford; Antonia M Calafat; Russ Hauser
Journal:  Environ Res       Date:  2019-08-06       Impact factor: 6.498

5.  Dietary patterns and outcomes of assisted reproduction.

Authors:  Audrey J Gaskins; Feiby L Nassan; Yu-Han Chiu; Mariel Arvizu; Paige L Williams; Myra G Keller; Irene Souter; Russ Hauser; Jorge E Chavarro
Journal:  Am J Obstet Gynecol       Date:  2019-02-08       Impact factor: 8.661

6.  Association of Thyroid Function and Autoimmunity with Ovarian Reserve in Women Seeking Infertility Care.

Authors:  Tim I M Korevaar; Lidia Mínguez-Alarcón; Carmen Messerlian; Ralph A de Poortere; Paige L Williams; Maarten A Broeren; Russ Hauser; Irene C Souter
Journal:  Thyroid       Date:  2018-08-14       Impact factor: 6.568

7.  Men's Intake of Vitamin C and β-Carotene Is Positively Related to Fertilization Rate but Not to Live Birth Rate in Couples Undergoing Infertility Treatment.

Authors:  Ming-Chieh Li; Yu-Han Chiu; Audrey J Gaskins; Lidia Mínguez-Alarcón; Feiby L Nassan; Paige L Williams; John Petrozza; Russ Hauser; Jorge E Chavarro
Journal:  J Nutr       Date:  2019-11-01       Impact factor: 4.798

8.  The use of personal and indoor air pollution monitors in reproductive epidemiology studies.

Authors:  Audrey J Gaskins; Jaime E Hart
Journal:  Paediatr Perinat Epidemiol       Date:  2019-10-10       Impact factor: 3.980

9.  Reduction in FSH Throughout the Menstrual Cycle After Omega-3 Fatty Acid Supplementation in Young Normal Weight but not Obese Women.

Authors:  Jessica L Bauer; Katherine Kuhn; Andrew P Bradford; Zain A Al-Safi; Mary A Harris; Robert H Eckel; Celeste Y Robledo; Anahit Malkhasyan; Joshua Johnson; Nancy R Gee; Alex J Polotsky
Journal:  Reprod Sci       Date:  2019-02-17       Impact factor: 3.060

10.  Urinary bisphenol S concentrations: Potential predictors of and associations with semen quality parameters among men attending a fertility center.

Authors:  Ramy Abou Ghayda; Paige L Williams; Jorge E Chavarro; Jennifer B Ford; Irene Souter; Antonia M Calafat; Russ Hauser; Lidia Mínguez-Alarcón
Journal:  Environ Int       Date:  2019-07-31       Impact factor: 9.621

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