Abstract
Environmental exposures during pregnancy and early life may have adverse health effects. Single birth cohort studies often lack statistical power to tease out such effects reliably. To improve the use of existing data and to facilitate collaboration among these studies, an inventory of the environmental exposure and health data in these studies was made as part of the ENRIECO (Environmental Health Risks in European Birth Cohorts) project. The focus with regard to exposure was on outdoor air pollution, water contamination, allergens and biological organisms, metals, pesticides, smoking and second hand tobacco smoke (SHS), persistent organic pollutants (POPs), noise, radiation, and occupational exposures. The review lists methods and data on environmental exposures in 37 European birth cohort studies. Most data is currently available for smoking and SHS (N=37 cohorts), occupational exposures (N=33), outdoor air pollution, and allergens and microbial agents (N=27). Exposure modeling is increasingly used for long-term air pollution exposure assessment; biomonitoring is used for assessment of exposure to metals, POPs and other chemicals; and environmental monitoring for house dust mite exposure assessment. Collaborative analyses with data from several birth cohorts have already been performed successfully for outdoor air pollution, water contamination, allergens, biological contaminants, molds, POPs and SHS. Key success factors for collaborative analyses are common definitions of main exposure and health variables. Our review emphasizes that such common definitions need ideally be arrived at in the study design phase. However, careful comparison of methods used in existing studies also offers excellent opportunities for collaborative analyses. Investigators can use this review to evaluate the potential for future collaborative analyses with respect to data availability and methods used in the different cohorts and to identify potential partners for a specific research question.
Similar content being viewed by others
Explore related subjects
Find the latest articles, discoveries, and news in related topics.Introduction
Pregnancy and birth cohort studies provide the possibility of repeated measurements of health outcomes and exposures at different time points from pregnancy through childhood and adolescence into adulthood. Therefore, they present an ideal framework for the prospective study of the effects of environmental exposures on the health and development of children. Furthermore, they allow the study of temporal variability in exposure. If temporal variability is sufficient, the relevance of exposure at different time points (e.g. prenatal and postnatal) and the health impact associated with changes in exposure can be investigated, which may help to focus preventive actions.
Currently, many European birth cohort studies of children’s environment-health relationships exist and provide evidence for relationships that can be used to develop strategies to reduce environmental exposures and to improve health. However, single studies often lack statistical power to lead to conclusive results on their own, in particular when health outcomes and/or exposures with low prevalence are studied. Combining data from different studies is a powerful remedy for this. Also, collaboration between birth cohorts enables us to replicate and corroborate or refute findings as well as to explore reasons for heterogeneity. Therefore, there is an urgent need to evaluate, and where possible combine, the existing data, methods and tools from European birth cohort studies in order to evaluate possible links between environmental exposures and health [1].
The assessment of exposure is a crucial element of the study of the potential adverse effects associated with exposure. Error in exposure measurements reduces the statistical power of a study [2] and the estimated effect is likely to be smaller than the true effect [3], both increasing the likelihood that real associations are not detected. Exposure can be assessed by means of direct approaches including biological and personal monitoring, by means of indirect approaches including environmental monitoring and modeling as well as the use of questionnaires and diaries or a combination thereof [4]. Exposure assessment by means of (repeated) individual environmental or biological monitoring, however, is costly and therefore usually not feasible in all participants of large cohort studies. This means that making informed decisions of what to measure in how many study subjects is crucial.
As part of the European Union funded Environmental Health Risks in European Birth Cohorts (ENRIECO) project, an inventory of the environmental exposure and health data in existing European birth cohort studies was made [5]. The objective of the present review is to analyze the environmental exposure assessment in the birth cohort studies in detail. The review covers established exposures (e.g. ambient air pollution, environmental tobacco smoke, allergens and biocontaminants, metals, persistent organic pollutants (POPs) and noise) as well as exposures that more recently became the focus of epidemiological research (e.g. electromagnetic fields, phthalates and phenols). The emphasis is on comparison of methods currently used in birth cohort studies leading to recommendations for improvement. We focus on methodological issues such as comparability, validity, (dis-)agreement between methods, ability to predict concentrations in earlier or later periods, and timing of exposure assessment that are relevant to several exposures rather than exposure-specific issues.
Methods
Participating cohorts and inventory
A detailed description of the cohorts included in the ENRIECO project has been published elsewhere [5]. In brief, cohorts were included in an inventory if they a) collected data on at least one of the following exposures: air pollution, water contamination, allergens and microbial agents, metals, pesticides, POPs, other chemical pollutants, noise, and radiations; b) started enrolment of mothers into the cohort during pregnancy or at birth; c) included in their protocol at least one follow-up point after birth with direct contact with mothers and children; d) included at least 200 mother-child pairs; and d) were based in a European country. Between March 1, 2009 and February 15, 2011 37 different European birth cohorts (counting the cohorts of the Faroes, the old and the new INMA cohorts as one cohort each) completed inventory questionnaires with detailed information on the study protocol, exposure and health outcome assessment [5]. A web-based searchable inventory database is now publically available on http://www.birthcohortsenrieco.net. The information provided by the inventory has been approved by the cohorts.
Evaluation of exposure information
The evaluation was divided in 11 exposure groups: outdoor air pollution, water contamination, allergens and microbial agents, metals, pesticides (including persistent pesticides), POPs, other chemical pollutants (e.g. phthalates and phenols), smoking and second hand tobacco smoke (SHS), noise, radiation and occupational exposures. The evaluations were conducted by experts from several fields relevant to the topic of this review, including environmental and occupational epidemiology, toxicology, public health, medical sciences (more specifically, pediatrics), sociology, psychology, and biostatistics. A full list of the names of the experts who participated in the different working groups is presented in Additional file 1: Table S1.
The aims of the evaluations were a) to describe the environmental exposure assessment in European birth cohort studies including methods used, timing and coverage (number of cohorts and number of subjects within cohorts with exposure information) of exposure assessment; b) to discuss the exposure assessments used in the birth cohort studies in terms of agreement between direct and indirect methods, timing and temporal variability of exposure measurements, exposure at non-residential addresses and time-activity patterns, c) to discuss the potential for collaborative analyses within the birth cohort studies including examples of successful collaborations; and d) to discuss areas of interest for future analyses including new data collection and new methods.
Results
Exposure assessment methods currently used in European birth cohorts
A description of the basic characteristics of the cohorts has been presented elsewhere [5]. The exposure assessment methods used in the cohorts are summarized in Table 1. Exposure modeling is becoming the method of choice for air pollution exposure assessment. The focus currently is on nitrogen oxides and fine particular matter (Additional file 1: Table S2). Exposure to cat and dog allergens, molds, radiation, smoking and SHS, noise, and occupation of the parent(s) were mainly assessed by means of questionnaires, whereas exposure to house dust mites was exclusively assessed by means of environmental monitoring. Information on environmental monitoring for assessment of allergen and microbial exposures is provided in Additional file 1: Table S3. Sometimes, biomonitoring and/or environmental monitoring were performed in addition to questionnaires to assess SHS exposure (Additional file 1: Table S4). Exposure to metals, POPs and other chemicals such as phthalates and phenols was mainly assessed by means of biomonitoring. More detailed information has been published elsewhere [5–7]. Exposure to water contaminants was mostly assessed by means of a combination of environmental measurements and questionnaire information on water use. Disinfection by-products were studied most (Additional file 1: Table S5). Because exposure to pesticides occurs through several pathways (household use, food, occupational exposure, residential exposure through agricultural activities, etc.) the assessment methods used in the cohorts are multiple and variable.
Coverage of different exposure assessment methods
Exposure data was generally available for the vast majority of the study participants if exposure was assessed by means of exposure modeling, questionnaires, routinely collected data or a combination thereof (see e.g. http://www.enrieco.org). Biomonitoring was sometimes performed in addition to other methods (e.g. for assessment of exposure to water contaminants, smoking and SHS exposure) usually in small subsets of the study population for validation purposes (Additional file 1: Tables S4 and S6). Also for other exposures such as metals, POPs, phthalates and phenols, where exposure assessment largely relied on biomonitoring, biomonitoring was often restricted to subsets of the cohorts due to the costs involved (Additional file 1: Table S6). Nevertheless, performing biomonitoring (and other exposure assessments that require large resources) in subsets of prospective cohort studies can still be very efficient, if for example the outcome of interest is rare and the subset has been selected according to a nested case–control design, which is superior to a conventional case–control design as it is less prone to recall and selection bias [8]. Moreover, the internal human dose can be estimated more efficiently and precisely by biomonitoring as compared to chemical analyses of different environmental matrices at different time points if exposure occurs through multiple pathways.
Comparison of direct and indirect methods
Questionnaires for the assessment of pet allergen and mold exposure as well as SHS exposure have been compared with environmental monitoring (e.g. house dust and air sampling) in a number of cohort studies that are part of ENRIECO, but also in other studies. Despite some misclassification, questionnaire reports were found to be an inexpensive and valid estimate of residential SHS exposure among preschool and school children [9–11]. Questionnaires were also found to be a valid method of assessing exposure to drinking water in pregnant women [12]. In contrast, questionnaire-reported cat and dog ownership is a relatively poor measure of pet allergen levels in house dust [13–16]. Similarly, it has been shown that questionnaire data cannot be used as a surrogate for measurements of specific microbial agents such as endotoxin, gram positive bacteria and mold components in house dust [17–19].
Timing of exposure assessment and time-activity patterns
Most exposures were mainly assessed during pregnancy and/or at birth. Exposure to outdoor air pollution has mainly been assessed for pregnancy and/or early life; exposure to allergens and biological contaminants was mainly assessed during infancy and early childhood (Additional file 1: Tables S2 and S3).
At present, repeated exposure assessments are available for a limited number of exposure topics (e.g. outdoor air pollution, allergens and microbial agents, smoking and SHS exposure, and phenols). Time-activity patterns, exposure at non-residential addresses and residential mobility are currently rarely included in the assessment.
Potential for collaborative analyses
Combined analyses have been successfully performed/are being performed within the framework of EU-collaborative projects such as GA2LEN (allergens [20]), TRAPCA (outdoor air pollution [21]), ESCAPE (outdoor air pollution [22, 23]), HIWATE (water contamination [24]) AIRALLERG (allergens, biological contaminants and indoor air pollution [25, 26]), and HITEA (indoor biological agents, http://www.hitea.eu/). In addition, for exposure to molds [27] second hand tobacco smoke [28], and POPs [6], combined analyses have been performed as part of case studies within the current ENRIECO project to explore the feasibility, potentials and difficulties of merging partly heterogeneous data from different European pregnancy and birth cohort studies. For ionizing, non-ionizing and UV radiation, as well as other chemical contaminants there is currently not sufficient data available in the cohorts for data pooling, but many measurements are ongoing and comparison studies may be feasible within the next few years.
Recommendations for future research
Recommendations for future research are presented in Table 2. The performance of validation studies, the assessment of the role of the timing of the exposure, and the inclusion of time-activity pattern and non-residential exposures in the exposure assessment have the highest priority.
Discussion
The inventory revealed that in the European birth cohort studies, rich and diverse data on environmental exposures exist. Several examples of successful collaborations were identified making use of exposure data obtained in several cohorts.
A number of methodological issues were identified as well. Often, indirect methods were used rather than measures of personal exposure. Temporal misalignment of exposure measurements relative to timing of health measurements was also identified, as was lack of information on time-activity patterns. All of these produce error in exposure measurements which may attenuate risk estimates and statistical power of a study and increases the likelihood that real associations are not detected [2]. The National Research Council ranked the different direct and indirect approaches of exposure assessment and considered personal exposure measurements as the best estimate of actual exposure [29]. Exposure assessment by means of (repeated) individual environmental or biological measurements, however, is costly and therefore usually not feasible in all participants of large cohort studies. Therefore, in many studies in this inventory, questionnaires were used to enquire about the exposure of interest, occasionally in combination with environmental measurements (water contamination).
Questionnaire reports were found to be an inexpensive and valid estimate of residential SHS exposure among preschool and school children [9–11], whereas questionnaire-reported cat and dog ownership is a relatively poor measure of pet allergen levels in house dust [13–16] and cannot be used as a surrogate for measurements of specific microbial agents in house dust [17–19]. House dust collection by study participants instead of fieldworkers can reduce the costs associated with the collection of dust samples for the assessment of allergen and biocontaminant exposure. Several methods have been described in the literature including nylon socks [30], electrostatic wipes [31, 32], and passive samplers [33]. For other exposures such as household use of pesticides and non-ionizing radiation, where exposure assessment also largely relies on questionnaires, such validation studies are still lacking. Also, for chemical exposures such as phthalates that are currently exclusively measured by biomonitoring, no validated questionnaires exist and predictors need to be identified [7].
Likewise, there is still little validation of modeled exposures (ambient air pollution) or surrogate variables (e.g. proximity to agricultural activities as a proxy for bystander exposure to pesticides) against individual environmental monitoring.
As the birth cohorts studies in this inventory were all funded locally, there was no initial harmonization of exposure assessment methods For example, different questionnaires were used in different cohorts; there were no standardized protocols for the collection and analysis of individual environmental samples and biomonitoring was done in different media such as breast milk, cord blood, placenta, serum and whole blood. Some exceptions include studies in which a standardized exposure assessment was part of a collaborative effort (e.g. TRAPCA (outdoor air pollution [21]), ESCAPE (outdoor air pollution [22, 23, 34]), HIWATE (water contamination [24]) AIRALLERG (allergens, biological contaminants and indoor air pollution [25, 26]), and HITEA (indoor biological agents, http://www.hitea.eu/). In the absence of such prior harmonization of methods, data can still be combined after careful examination of the communalities and differences between methods. Moreover, it should be noted that harmonization of exposure assessment is not straightforward and may not be beneficial in all cases as for example for many exposures there is no gold standard, and questionnaires may be based on wrong hypotheses. This is more a concern for emerging exposures (e.g. radiation) than for established exposures (e.g. SHS). Furthermore, the development of internationally accepted standards is a complicated and lengthy process and often standards hinder the development and introduction of new methods. Especially for the assessment of emerging exposures and for new exposure assessment methods diversity is desired as it allows the evaluation and comparison of different methods. For exposures that are (mainly) assessed by means of biomonitoring (i.e. metals, pesticides, POPs, and other chemical pollutants), the performance of inter-laboratory comparisons and either the harmonization of the exposure assessment with regard to the sampling medium or the development of conversion factors has been recommended to facilitate combined analyses (Table 2).
Individual assessment of exposures experienced by the study subjects in different micro-environments by means of personal or stationary monitoring alone will generally not be feasible in birth cohorts, as the study populations generally comprise several hundreds to thousands of subjects. Therefore, environmental exposure assessment in the European birth cohorts currently is often limited to residential exposure although many study participants regularly spend considerable amounts of their time outside their homes for instance at day care centers or schools. Consequently, little is known about the role of non-residential exposure and time-activity pattern in the association between these exposures and health. Some recent publications on the effects of ambient air pollution where exposure was estimated as a time-weighted average of several addresses where the participants spent considerable amounts of time indicated little differences between the estimated exposure at the home address only and the time-weighted average of residential and non-residential (i.e. work or school) exposure [35–37]. However, this needs further evaluation.
For many exposures, we presently know very little about the relevance of the timing of the exposure in addition to the level of exposure, and it is unclear whether exposure during a specific period when organs develop and are considered being more susceptible, is more important than later exposure (e.g. for congenital anomalies early pregnancy and birth weight mostly likely late pregnancy). The window of susceptibility for reproductive outcomes is most likely short (days, months, trimesters of pregnancy) and depends on the type of outcome [38]. For asthma and allergies it has been hypothesized that there is a “window of opportunity” early in life where the development of asthma and allergies is initiated by a variety of factors [39]. However, we cannot rule out that there are multiple windows of susceptibility during fetal development and (early) childhood. As an example, one of the case studies performed within the ENRIECO project demonstrated that SHS exposure during pregnancy and during the first year of life are independent risk factors for childhood wheeze and asthma [28].
Prospective birth cohort studies with repeated exposure and health outcome assessments offer a unique possibility to increase our knowledge with regard to the temporal variability of exposure and if variability is sufficient the relevance of exposure during different time periods. The need for repeated exposure assessments depends on the temporal variability and the toxicokinetics of the exposure of interest: if there is little variability, few repeated measures are needed; if there is a lot of variability many repeated measurements are needed. The number of measurements that can be performed in a cohort study, however, is limited, and therefore it will never be possible to continuously monitor exposure. Repeated exposure assessments, for part of the population if not possible for all study participants, however, can provide valuable information about the validity of a single exposure assessment for a longer period, i.e. its ability to predict concentrations in earlier of later periods. For example, land-use regression models that are currently used very often for assessments of long-term exposures to outdoor air pollution are based on one measurement campaign during which air pollution concentrations are measured at a number of locations. Few validation studies have been performed so far. Recently, it has been shown that land-use regression models were highly predictive of NO/NO2 concentrations measured 10 and 13 years apart in The Netherlands, and Rome, Italy [40, 41]. A high correlation has also been shown between measurements of POPs performed as much as 10 years apart [42]. Furthermore, there is some evidence that a single endotoxin [43–46], mite or cat allergen measurement [46, 47] is a valid estimate of exposure for longer time periods.
Collecting data before the occurrence of any adverse health event of interest is crucial when temporal variability of the exposure of interest is high or the presence of a certain disease or condition can result in changes in exposure (e.g. allergen avoidance in subjects with asthma and allergies). Furthermore, if exposure assessment relies on (parental) self-reporting a retrospective assessment may result in reporting bias or recall bias (e.g. due to increased awareness of certain exposures in diseased subjects). Nevertheless, also in prospective cohort studies, exposure assessment is sometimes done retrospectively, i.e. an exposure assessment is added to existing health data because time and money for exposure assessment at the beginning of a study are limited and often new exposures become of interest only after the study has been going on for some time. The storage of (part of) biological and environmental samples for later analyses as well as the use of historical data that has been routinely collected for other (e.g. monitoring) purposes can overcome the problems associated with retrospective exposure assessment. Another possibility included the use of GIS-based techniques and exposure modeling techniques, which are currently in particular, but not exclusively, used for air pollution exposure assessment. For example, within European birth cohort studies, GIS-based techniques have also being used for assessment of noise. Furthermore, outside European birth cohorts, GIS-based techniques have been used to assess pesticide exposures, e.g. [48, 49] and more recently exposure to radiofrequency electromagnetic fields [50].
Lessons from collaborative efforts so far have been that combining data from various cohorts requires careful consideration of the aims, protocols, data (comparability and availability of exposure, health and relevant confounder data), ethical issues, analyses and management, and it is time and labor intensive but potentially fruitful. As an example, a challenge of the case study on POPs [6] was the development of conversion factors to facilitate combined analyses with persistent organic pollutant measurements performed in different media. Collaborative studies performed within the EU-funded CHICOS project (http://www.chicosproject.eu) currently build on these experiences. Both, existing collaborative studies as well as our recommendations regarding future meta-analyses and/or pooled analyses within the European birth cohort studies, so far, were very much focused on the study of one exposure at a time. Possible interactions between different exposures are of course of major interest as environmental exposure is not limited to a single agent and basically all cohorts have data on multiple exposures. Limited statistical power of single cohort studies is a much bigger issue in the study of interactions between exposures than in one-agent-at-a-time studies, resulting in an even greater need for collaborative studies here.
Substantive questions in environmental health that could potentially be answered by future collaborative efforts include health effects of ultrafine particles in air; pharmaceuticals, PFOS/PFOA and other endocrine disruptors in drinking water [51]; and medical radiation exposure.
Improvement is needed of questionnaire instruments to assess water contamination, UV, non-ionizing radiation, second hand tobacco smoke, noise, and occupational exposures. Inter-laboratory comparisons are needed for methods to measure POPs and other chemicals through biomonitoring. Recommendations for future work include the use of new technologies such as GIS and satellite imaging for assessment of pesticide exposure and molecular methods or DNA fingerprinting for assessment of microbial exposures.
Lack of information on variables that are determinants of exposure and health outcomes can lead to confounding bias in epidemiological studies [8]. A discussion of relevant confounders for a wide range of exposure-health relationships is beyond the scope of this paper. However, there are two variables that may act as a confounders of many exposure health relationships and that we would like to mention here, namely socio-economic status (SES) and genetic predisposition. Socio-economic status has been shown to be an important determinant of several environmental exposures (e.g. air pollution and second-hand smoking) and susceptibilities (e.g. pre-existing health conditions, stress, behavior), which have been suggested to act together to influence the health response of groups classified by socioeconomic level [52–54]. Therefore information on SES has been collected in basically all existing cohorts. We strongly recommend to new cohorts to collect individual information on participants’ SES (e.g. parental education, income or occupation) to assess potential confounding and modifications of exposure-health relationships by SES. Likewise, information on genetic predisposition is very important and should be collected as genetic predisposition may act as a confounder (e.g. allergen-avoidance of allergic parents [55]) or an effect modifier of the association of interest.
Concluding remarks
European birth cohorts are collecting a wealth of data on environmental exposures. Most data is currently available for outdoor air pollution, allergens and microbial agents, smoking and second hand tobacco-smoke, and occupational exposures. Collaborative analyses with data from several birth cohorts have been performed successfully for outdoor air pollution, water contamination, allergens, biological contaminants, molds, POPs and tobacco smoke exposure. This illustrates the large potential for collaborative analyses of other environmental health issues as well. Investigators can use this review to evaluate the potential for future collaborative analyses with respect to data availability and methods used in the different cohorts and to identify potential partners for a specific research question. The main reasons for collaboration between population studies are replication, studying heterogeneity, and increasing statistical power to study small relative risks, rare events and/or complex interactions. Apart from subject-matter specific recommendations, progress can only be achieved with further harmonization of methods, including those for environmental exposure assessment. The ENRIECO project shows the potential as well as the limitations to use data from existing, locally funded studies for this. Assuming that the majority of future studies will continue to be locally designed and funded, there is a need to periodically review methods for exposure assessment as they become available. Investigators and funding agencies can then make use of this information to choose methods.
Abbreviations
- AAS:
-
Atomic absorption spectroscopy
- CT:
-
Computer tomography
- DDT:
-
Dichlorodiphenyltrichloroethane
- END:
-
Environmental Noise Directive
- ELF:
-
Extreme low frequency
- EMF:
-
Electromagnetic field
- ENRIECO:
-
Environmental Health Risks in European Birth Cohorts
- GIS:
-
Geographic Information System
- HPLC:
-
High-Performance Liquid Chromatography
- ICP-MS:
-
Inductively Coupled Plasma Mass Spectrometry
- JEM:
-
Job Exposure Matrix
- PCB:
-
Polychlorinated Biphenyl
- PFOA:
-
Perfluorooctanoic Acid
- PFOS:
-
Perfluorooctanesulfonic Acid
- POP:
-
Persistent Organic Pollutant
- RF:
-
Radio Frequency
- SES:
-
Socio-Economic Status
- SHS:
-
Second Hand Smoke
- UV:
-
Ultraviolet.
References
Kogevinas M, Andersen AM, Olsen J: Collaboration is needed to co-ordinate European birth cohort studies. Int J Epidemiol. 2004, 33: 1172-1173. 10.1093/ije/dyh318.
Armstrong BG: Effect of measurement error on epidemiological studies of environmental and occupational exposures. Occup Environ Med. 1998, 55: 651-656. 10.1136/oem.55.10.651.
Wacholder S: When measurement errors correlate with truth: surprising effects of nondifferential misclassification. Epidemiology. 1995, 6: 157-161. 10.1097/00001648-199503000-00012.
Nieuwenhuijsen M, Paustenbach D, Duarte-Davidson R: New developments in exposure assessment: the impact on the practice of health risk assessment and epidemiological studies. Environ Int. 2006, 32: 996-1009. 10.1016/j.envint.2006.06.015.
Vrijheid M, Casas M, Bergstrom A, Carmichael A, Cordier S, Eggesbo M, Eller E, Fantini MP, Fernandez MF, Fernandez-Somoano A, Gehring U, Grazuleviciene R, Hohmann C, Karvonen AM, Keil T, Kogevinas M, Koppen G, Kramer U, Kuehni CE, Magnus P, Majewska R, Andersen AM, Patelarou E, Petersen MS, Pierik FH, Polanska K, Porta D, Richiardi L, Santos AC, Slama R: European birth cohorts for environmental health research. Environ Health Perspect. 2012, 120: 29-37.
Govarts E, Nieuwenhuijsen M, Schoeters G, Ballester F, Bloemen K, de Boer M, Chevrier C, Eggesbo M, Guxens M, Kramer U, Legler J, Martinez D, Palkovicova L, Patelarou E, Ranft U, Rautio A, Petersen MS, Slama R, Stigum H, Toft G, Trnovec T, Vandentorren S, Weihe P, Kuperus NW, Wilhelm M, Wittsiepe J, Bonde JP: Birth weight and prenatal exposure to polychlorinated biphenyls (PCBs) and dichlorodiphenyldichloroethylene (DDE): a meta-analysis within 12 European Birth Cohorts. Environ Health Perspect. 2012, 120: 162-170.
Casas M, Chevrier C, Hond ED, Fernandez MF, Pierik F, Philippat C, Slama R, Toft G, Vandentorren S, Wilhelm M, Vrijheid M: Exposure to brominated flame retardants, perfluorinated compounds, phthalates and phenols in European birth cohorts: ENRIECO evaluation, first human biomonitoring results, and recommendations. Int J Hyg Environ Health. 2012, 10.1016/j.ijheh.2012.05.009.
Rothman KJ, Greenland S: Modern Epidemiology. 1998, Philadelphia: Lippincott Williams & Wilkins
Brunekreef B, Leaderer BP, van Strien R, Oldenwening M, Smit HA, Koopman L, Kerkhof M: Using nicotine measurements and parental reports to assess indoor air: the PIAMA birth cohort study. Prevention and Incidence of Asthma and Mite Allergy. Epidemiology. 2000, 11: 350-352. 10.1097/00001648-200005000-00023.
Gehring U, Leaderer BP, Heinrich J, Oldenwening M, Giovannangelo ME, Nordling E, Merkel G, Hoek G, Bellander T, Brunekreef B: Comparison of parental reports of smoking and residential air nicotine concentrations in children. Occup Environ Med. 2006, 63: 766-772. 10.1136/oem.2006.027151.
Marbury MC, Hammond SK, Haley NJ: Measuring exposure to environmental tobacco smoke in studies of acute health effects. Am J Epidemiol. 1993, 137: 1089-1097.
Kaur S, Nieuwenhuijsen MJ, Ferrier H, Steer P: Exposure of pregnant women to tap water related activities. Occup Environ Med. 2004, 61: 454-460. 10.1136/oem.2003.007351.
Chew GL, Burge HA, Dockery DW, Muilenberg ML, Weiss ST, Gold DR: Limitations of a home characteristics questionnaire as a predictor of indoor allergen levels. Am J Respir Crit Care Med. 1998, 157: 1536-1541.
Gehring U, Triche E, Van Strien RT, Belanger K, Holford T, Gold DR, Jankun T, Ren P, McSharry JE, Beckett WS, Platts-Mills TA, Chapman MD, Bracken MB, Leaderer BP: Prediction of residential pet and cockroach allergen levels using questionnaire information. Environ Health Perspect. 2004, 112: 834-839. 10.1289/ehp.6685.
Bollinger ME, Eggleston PA, Flanagan E, Wood RA: Cat antigen in homes with and without cats may induce allergic symptoms. J Allergy Clin Immunol. 1996, 97: 907-914. 10.1016/S0091-6749(96)80064-9.
Nafstad P, Magnus P, Gaarder PI, Jaakkola JJ: Exposure to pets and atopy-related diseases in the first 4 years of life. Allergy. 2001, 56: 307-312. 10.1034/j.1398-9995.2001.00881.x.
Sordillo JE, Alwis UK, Hoffman E, Gold DR, Milton DK: Home characteristics as predictors of bacterial and fungal microbial biomarkers in house dust. Environ Health Perspect. 2011, 119: 189-195.
Giovannangelo M, Gehring U, Nordling E, Oldenwening M, Terpstra G, Bellander T, Hoek G, Heinrich J, Brunekreef B: Determinants of house dust endotoxin in three European countries the AIRALLERG study. Indoor Air. 2007, 17: 70-79. 10.1111/j.1600-0668.2006.00461.x.
Giovannangelo ME, Gehring U, Nordling E, Oldenwening M, van Rijswijk K, de Wind S, Hoek G, Heinrich J, Bellander T, Brunekreef B: Levels and determinants of beta(1–>3)-glucans and fungal extracellular polysaccharides in house dust of (pre-)schoolchildren in three European countries. Environ Int. 2007, 33: 9-16. 10.1016/j.envint.2006.06.018.
Lodrup Carlsen KC, Roll S, Carlsen KH, Mowinckel P, Wijga AH, Brunekreef B, Torrent M, Roberts G, Arshad SH, Kull I, Kramer U, von Berg A, Eller E, Host A, Kuehni C, Spycher B, Sunyer J, Chen CM, Reich A, Asarnoj A, Puig C, Herbarth O, Mahachie John JM, Van SK, Willich SN, Wahn U, Lau S, Keil T: Does pet ownership in infancy lead to asthma or allergy at school age? Pooled analysis of individual participant data from 11 European birth cohorts. PLoS One. 2012, 7: e43214-10.1371/journal.pone.0043214.
Brauer M, Hoek G, van Vliet P, Meliefste K, Fischer P, Gehring U, Heinrich J, Cyrys J, Bellander T, Lewne M, Brunekreef B: Estimating Long-Term Average Particulate Air Pollution Concentrations: Application of Traffic Indicators and Geographic Information Systems. Epidemiology. 2003, 14: 228-239.
Eeftens M, Beelen R, de Hoogh K, Bellander T, Cesaroni G, Cirach M, Declercq C, Dedele A, Dons E, de Nazelle A, Dimakopoulou K, Eriksen KT, Falq G, Fischer P, Galassi C, Grazuleviciene R, Heinrich J, Hoffmann B, Jerrett M, Keidel D, Korek M, Lankki T, Lindley S, Madsen C, Molter A, Nador G, Nieuwenhuijsen MJ, Nonnemacher M, Pedeli X, Raaschou NO: Development of land use regression models for PM2.5, PM2.5 absorbance, PM10 and PMcoarse in 20 European study areas; results of the ESCAPE project. Environ Sci Technol. 2012, 46: 11195-11205. 10.1021/es301948k.
Cyrys J, Eeftens M, Heinrich J, Ampe C, Armengaud A, Beelen R, Bellander T, Beregszaszai T, Birk M, Cesaroni G, Cirach M, de Hoogh K, de Nazalle A, de Vocht F, Declercq C, Dedele A, Dimakopoulou K, Eriksen K, Galassi C, Grazuleviciene R, Grivas G, Gruzieva O, Hagenbjork Gustaffson A, Hoffmann B, Iakovides M, Ineichen A, Kramer U, Lanki T, Madsen C, Meliefste K: Variation of NO2 and NOx concentrations between and within 36 European study areas: results from the ESCAPE study. Atmos Environ. 2012, In press
Nieuwenhuijsen MJ, Smith R, Golfinopoulos S, Best N, Bennett J, Aggazzotti G, Righi E, Fantuzzi G, Bucchini L, Cordier S, Villanueva CM, Moreno V, La VC, Bosetti C, Vartiainen T, Rautiu R, Toledano M, Iszatt N, Grazuleviciene R, Kogevinas M: Health impacts of long-term exposure to disinfection by-products in drinking water in Europe: HIWATE. J Water Health. 2009, 7: 185-207. 10.2166/wh.2009.073.
Chen CM, Gehring U, Wickman M, Hoek G, Giovannangelo M, Nordling E, Wijga A, de Jongste J, Pershagen G, Almqvist C, Kerkhof M, Bellander T, Wichmann HE, Brunekreef B, Heinrich J: Domestic cat allergen and allergic sensitisation in young children. Int J Hyg Environ Health. 2008, 211: 337-344. 10.1016/j.ijheh.2007.05.007.
Gehring U, Heinrich J, Hoek G, Giovannangelo M, Nordling E, Bellander T, Gerritsen J, de Jongste JC, Smit HA, Wichmann HE, Wickman M, Brunekreef B: Bacteria and mould components in house dust and children's allergic sensitisation. Eur Respir J. 2007, 29: 1144-1153. 10.1183/09031936.00118806.
Tischer CG, Hohmann C, Thiering E, Herbarth O, Muller A, Henderson J, Granell R, Fantini MP, Luciano L, Bergstrom A, Kull I, Link E, von Berg A, Kuehni CE, Strippoli MP, Gehring U, Wijga A, Eller E, Bindslev-Jensen C, Keil T, Heinrich J: Meta-analysis of mould and dampness exposure on asthma and allergy in eight European birth cohorts: an ENRIECO initiative. Allergy. 2011, 66: 1570-1579. 10.1111/j.1398-9995.2011.02712.x.
Neuman A, Hohmann C, Orsini N, Pershagen G, Eller E, Fomsgaard KH, Gehring U, Granell R, Henderson J, Heinrich J, Lau S, Nieuwenhuijsen M, Sunyer J, Tischer C, Torrent M, Wahn U, Wijga AH, Wickman M, Keil T, Bergstrom A: Maternal Smoking in Pregnancy and Asthma in Preschool Children: a Pooled Analysis of 8 Birth Cohorts. Am J Respir Crit Care Med. 2012, In press
National ResearchCouncil (NRC): Environmental Epidemiology I. Public health and hazardous waste. 1991, Washington DC USA: National Academy Press
Schram-Bijkerk D, Doekes G, Boeve M, Douwes J, Riedler J, Ublagger E, von Mutius E, Benz M, Pershagen G, Wickman M, Alfven T, Braun-Fahrlander C, Waser M, Brunekreef B: Exposure to microbial components and allergens in population studies: a comparison of two house dust collection methods applied by participants and fieldworkers. Indoor Air. 2006, 16: 414-425. 10.1111/j.1600-0668.2006.00435.x.
Arbes SJ, Sever M, Vaughn B, Mehta J, Lynch JT, Mitchell H, Hoppin JA, Spencer HL, Sandler DP, Zeldin DC: Feasibility of using subject-collected dust samples in epidemiologic and clinical studies of indoor allergens. Environ Health Perspect. 2005, 113: 665-669. 10.1289/ehp.7648.
Cozen W, Avol E, az-Sanchez D, McConnell R, Gauderman WJ, Cockburn MG, Zadnick J, Jyrala M, Mack TM: Use of an electrostatic dust cloth for self-administered home allergen collection. Twin Res Hum Genet. 2008, 11: 150-155. 10.1375/twin.11.2.150.
Noss I, Wouters IM, Visser M, Heederik DJ, Thorne PS, Brunekreef B, Doekes G: Evaluation of a low-cost electrostatic dust fall collector for indoor air endotoxin exposure assessment. Appl Environ Microbiol. 2008, 74: 5621-5627. 10.1128/AEM.00619-08.
Eeftens M, Tsai MY, Ampe C, Anwander B, Beelen R, Bellander T, Cesaroni G, Cirach M, Cyrys J, de Hoogh K, de Nazalle A, de Vocht F, Declercq C, Dedele A, Eriksen K, Galassi C, Grazuleviciene R, Grivas G, Heinrich J, Hoffmann B, Iakovides M, Ineichen A, Katsouyanni K, Korek M, Kramer U, Kuhlbusch T, Lanki T, Madsen C, Meliefste K, Molter A: Spatial variation of PM2.5, PM10, PM2.5 absorbance and PMcoarse concentrations between and within 20 European study areas and the relationship with NO2 - Results of the ESCAPE project. Atmos Environ. 2012, 62: 303-317.
Iniguez C, Ballester F, Estarlich M, Llop S, Fernandez-Patier R, guirre-Alfaro A, Esplugues A: Estimation of personal NO2 exposure in a cohort of pregnant women. Sci Total Environ. 2009, 407: 6093-6099. 10.1016/j.scitotenv.2009.08.006.
Gruzieva O, Bellander T, Eneroth K, Kull I, Melen E, Nordling E, van Hage M, Wickman M, Moskalenko V, Hulchiy O, Pershagen G: Traffic-related air pollution and development of allergic sensitization in children during the first 8 years of life. J Allergy Clin Immunol. 2012, 129: 240-246. 10.1016/j.jaci.2011.11.001.
Madsen C, Gehring U, Walker SE, Brunekreef B, Stigum H, Naess O, Nafstad P: Ambient air pollution exposure, residential mobility and term birth weight in Oslo Norway. Environ Res. 2010, 110: 363-371. 10.1016/j.envres.2010.02.005.
Slama R, Darrow L, Parker J, Woodruff TJ, Strickland M, Nieuwenhuijsen M, Glinianaia S, Hoggatt KJ, Kannan S, Hurley F, Kalinka J, Sram R, Brauer M, Wilhelm M, Heinrich J, Ritz B: Meeting report: atmospheric pollution and human reproduction. Environ Health Perspect. 2008, 116: 791-798. 10.1289/ehp.11074.
Becker AB: Is primary prevention of asthma possible?. Pediatr Pulmonol. 2000, 30: 63-72. 10.1002/1099-0496(200007)30:1<63::AID-PPUL10>3.0.CO;2-7.
Eeftens M, Beelen R, Fischer P, Brunekreef B, Meliefste K, Hoek G: Stability of measured and modelled spatial contrasts in NO(2) over time. Occup Environ Med. 2011, 68: 765-770. 10.1136/oem.2010.061135.
Cesaroni G, Porta D, Badaloni C, Stafoggia M, Eeftens M, Meliefste K, Forastiere F: Nitrogen dioxide levels estimated from land use regression models several years apart and association with mortality in a large cohort study. Environ Health. 2012, 11: 48-10.1186/1476-069X-11-48.
Hagmar L, Wallin E, Vessby B, Jonsson BA, Bergman A, Rylander L: Intra-individual variations and time trends 1991–2001 in human serum levels of PCB, DDE and hexachlorobenzene. Chemosphere. 2006, 64: 1507-1513. 10.1016/j.chemosphere.2005.12.054.
Park JH, Spiegelman DL, Burge HA, Gold DR, Chew GL, Milton DK: Longitudinal study of dust and airborne endotoxin in the home. Environ Health Perspect. 2000, 108: 1023-1028. 10.1289/ehp.001081023.
Heinrich J, Holscher B, Douwes J, Richter K, Koch A, Bischof W, Fahlbusch B, Kinne RW, Wichmann HE: Reproducibility of allergen, endotoxin and fungi measurements in the indoor environment. J Expo Anal Environ Epidemiol. 2003, 13: 152-160. 10.1038/sj.jea.7500267.
Abraham JH, Gold DR, Dockery DW, Ryan L, Park JH, Milton DK: Within-home versus between-home variability of house dust endotoxin in a birth cohort. Environ Health Perspect. 2005, 113: 1516-1521. 10.1289/ehp.7632.
Topp R, Wimmer K, Fahlbusch B, Bischof W, Richter K, Wichmann HE, Heinrich J: Repeated measurements of allergens and endotoxin in settled house dust over a time period of 6 years. Clin Exp Allergy. 2003, 33: 1659-1666. 10.1111/j.1365-2222.2003.01807.x.
Antens CJ, Oldenwening M, Wolse A, Gehring U, Smit HA, Aalberse RC, Kerkhof M, Gerritsen J, de Jongste JC, Brunekreef B: Repeated measurements of mite and pet allergen levels in house dust over a time period of 8 years. Clin Exp Allergy. 2006, 36: 1525-1531. 10.1111/j.1365-2222.2006.02603.x.
Ritz B, Rull RP: Assessment of environmental exposures from agricultural pesticides in childhood leukaemia studies: challenges and opportunities. Radiat Prot Dosimetry. 2008, 132: 148-155. 10.1093/rpd/ncn268.
Maxwell SK, Airola M, Nuckols JR: Using Landsat satellite data to support pesticide exposure assessment in California. Int J Health Geogr. 2010, 9: 46-10.1186/1476-072X-9-46.
Burgi F, Frei P, Theis G, Mohler G, Braun-Fahrlander C, Frohlich J, Neubauer G, Egger M, Roosli M: A model for radiofrequency electromagnetic field predictions at outdoor and indoor locations in the context of epidemiological research. Bioelectromagnetics. 2010, 31: 226-236.
Vandenberg LN, Colborn T, Hayes TB, Heindel JJ, Jacobs DR, Lee DH, Shioda T, Soto AM, vom Saal FS, Welshons WV, Zoeller RT, Myers JP: Hormones and endocrine-disrupting chemicals: low-dose effects and nonmonotonic dose responses. Endocr Rev. 2012, 33: 378-455. 10.1210/er.2011-1050.
O'Neill MS, Jerrett M, Kawachi I, Levy JI, Cohen AJ, Gouveia N, Wilkinson P, Fletcher T, Cifuentes L, Schwartz J: Health, wealth, and air pollution: advancing theory and methods. Environ Health Perspect. 2003, 111: 1861-1870. 10.1289/ehp.6334.
Morello-Frosch R, Shenassa ED: The environmental "riskscape" and social inequality: implications for explaining maternal and child health disparities. Environ Health Perspect. 2006, 114: 1150-1153. 10.1289/ehp.8930.
Gee GC, Payne-Sturges DC: Environmental health disparities: a framework integrating psychosocial and environmental concepts. Environ Health Perspect. 2004, 112: 1645-1653. 10.1289/ehp.7074.
Eller E, Roll S, Chen CM, Herbarth O, Wichmann HE, von Berg A, Kramer U, Mommers M, Thijs C, Wijga A, Brunekreef B, Fantini MP, Bravi F, Forastiere F, Porta D, Sunyer J, Torrent M, Host A, Halken S, Lodrup Carlsen KC, Carlsen KH, Wickman M, Kull I, Wahn U, Willich SN, Lau S, Keil T, Heinrich J: Meta-analysis of determinants for pet ownership in 12 European birth cohorts on asthma and allergies: a GA(2)LEN initiative. Allergy. 2008, 11: 1491-1498.
Acknowledgements
We thank all other cohort researchers and technical staff who have helped with the completion of the questionnaires and all researchers who were involved in the evaluation of the exposure information.
This work was supported by ENRIECO (Environmental Health Risks in European Birth Cohorts), a project conducted within the European Union's 7th Framework Programme (Theme 6, Environment (Including Climate Change)) [Grant agreement number: 226285].
Author information
Authors and Affiliations
Corresponding author
Additional information
Competing interests
The authors declare that they have no competing interests.
Authors’ contributions
MN was the Principial Investigator of the ENRIECO project. MV and MC were responsible for the inventory that served as a basis for the evaluations presented in this paper. All authors were responsible for the evaluation of the information for one or more exposure topics including the writing of reports. UG wrote the manuscript; all other authors critically reviewed the manuscript and approved the final version of the manuscript for submission.
Electronic supplementary material
12940_2012_613_MOESM1_ESM.pdf
Additional file 1:Environmental exposure assessment in European birth cohorts: results from the ENRIECO project - Additional Material Table of names of experts participating in reviews and additional tables describing environmental exposure assessment in European birth cohorts.(PDF 115 KB)
Rights and permissions
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
About this article
Cite this article
Gehring, U., Casas, M., Brunekreef, B. et al. Environmental exposure assessment in European birth cohorts: results from the ENRIECO project. Environ Health 12, 8 (2013). https://doi.org/10.1186/1476-069X-12-8
Received:
Accepted:
Published:
DOI: https://doi.org/10.1186/1476-069X-12-8