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Bjermo H, Patterson E, Petrelius Sipinen J, Lignell S, Stenberg K, Larsson E, Lindroos AK, Ottoson J, Warensjö Lemming E, Moraeus L. Design, Methods, and Participation in Riksmaten Young Children-A Swedish National Dietary Survey. Curr Dev Nutr 2024; 8:102150. [PMID: 38774498 PMCID: PMC11107201 DOI: 10.1016/j.cdnut.2024.102150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 03/21/2024] [Accepted: 03/26/2024] [Indexed: 05/24/2024] Open
Abstract
Background National dietary surveys provide essential data for risk benefit assessments of foods and nutrients, for management and policy development. Physical activity measurement and biomonitoring can provide important complementary data but are less commonly included. Objectives This study aimed to describe the study design and methods of the cross-sectional Swedish national dietary survey Riksmaten Young Children (Riksmaten småbarn), of children aged 9 mo, 18 mo, and 4 y. Participation/dropout rates for the 2 older age groups are also presented. The impact of different recruitment strategies is discussed. Methods Children (N = 16,655) were randomly selected from the population register; invitations to guardians were sent by post and where possible, followed up by telephone. Food intake was assessed by a 2-d food diary and/or questionnaire. Height and weight were reported after measurement. Physical activity (accelerometery, 7 d) and stool, blood, and urine samples were assessed in subgroups. Results Food consumption data were collected in 1828 children (11% of the invited; 18 mo: n = 1078, and 4 y: n = 750). Of participants also in subgroups, 71% provided physical activity data (n = 1307), 60% stool samples (n = 630), and 51% blood and/or urine samples (n = 593). The study population represented all geographic regions and types of municipalities in Sweden, but participating households had both higher education level and higher income than the target population. Only minor differences were seen in participation rates between recruitment via post and telephone compared with those through post only (12% compared with 10%). Repeated contact attempts were needed for the majority of participants (65%). Despite the low-participation rate, 99% of the participants completed the study once started. Conclusions Although it was a challenge to recruit participants, Riksmaten Young Children provides a substantial amount of information at national level, representative in terms of sex, geography, and family structure. The underrepresentation of households with lower socioeconomic position must be considered when generalizing results.
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Affiliation(s)
- Helena Bjermo
- Department of Risk Benefit Assessment, Swedish Food Agency, Uppsala, Sweden
| | - Emma Patterson
- Department of Risk Benefit Assessment, Swedish Food Agency, Uppsala, Sweden
- Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden
| | | | - Sanna Lignell
- Department of Risk Benefit Assessment, Swedish Food Agency, Uppsala, Sweden
| | - Karin Stenberg
- Department of Risk Benefit Assessment, Swedish Food Agency, Uppsala, Sweden
| | - Elin Larsson
- Department of Risk Benefit Assessment, Swedish Food Agency, Uppsala, Sweden
| | - Anna Karin Lindroos
- Department of Risk Benefit Assessment, Swedish Food Agency, Uppsala, Sweden
- Department of Internal Medicine and Clinical Nutrition, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Jakob Ottoson
- Department of Risk Benefit Assessment, Swedish Food Agency, Uppsala, Sweden
| | - Eva Warensjö Lemming
- Department of Food Studies, Nutrition and Dietetics, Uppsala University, Uppsala, Sweden
- Medical Epidemiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Lotta Moraeus
- Department of Risk Benefit Assessment, Swedish Food Agency, Uppsala, Sweden
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Pineda S, Lignell S, Gyllenhammar I, Lampa E, Benskin JP, Lundh T, Lindh C, Kiviranta H, Glynn A. Socio-demographic inequalities influence differences in the chemical exposome among Swedish adolescents. ENVIRONMENT INTERNATIONAL 2024; 186:108618. [PMID: 38593688 DOI: 10.1016/j.envint.2024.108618] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/31/2023] [Revised: 03/05/2024] [Accepted: 03/29/2024] [Indexed: 04/11/2024]
Abstract
Relatively little is known about the relationship between socio-demographic factors and the chemical exposome in adolescent populations. This knowledge gap hampers global efforts to meet certain UN sustainability goals. The present work addresses this problem in Swedish adolescents by discerning patterns within the chemical exposome and identify demographic groups susceptible to heightened exposures. Enlisting the Riksmaten Adolescents 2016-17 (RMA) study population (N = 1082) in human-biomonitoring, and using proportional odds ordinal logistic regression models, we examined the associations between concentrations of a diverse array of substances (N = 63) with the determinants: gender, age, participant/maternal birth country income per capita level, parental education levels, and geographic place of living (longitude/latitude). Participant/maternal birth country exhibited a significant association with the concentrations of 46 substances, followed by gender (N = 41), and longitude (N = 37). Notably, individuals born in high-income countries by high-income country mothers demonstrated substantially higher estimated adjusted means (EAM) concentrations of polychlorinated biphenyls (PCBs), brominated flame retardants (BFRs) and per- and polyfluoroalkyl substances (PFASs) compared to those born in low-income countries by low-income country mothers. A reverse trend was observed for cobalt (Co), cadmium (Cd), lead (Pb), aluminium (Al), chlorinated pesticides, and phthalate metabolites. Males exhibited higher EAM concentrations of chromium (Cr), mercury (Hg), Pb, PCBs, chlorinated pesticides, BFRs and PFASs than females. In contrast, females displayed higher EAM concentrations of Mn, Co, Cd and metabolites of phthalates and phosphorous flame retardants, and phenolic substances. Geographical disparities, indicative of north-to-south or west-to-east substance concentrations gradients, were identified in Sweden. Only a limited number of lifestyle, physiological and dietary factors were identified as possible drivers of demographic inequalities for specific substances. This research underscores birth country, gender, and geographical disparities as contributors to exposure differences among Swedish adolescents. Identifying underlying drivers is crucial to addressing societal inequalities associated with chemical exposure and aligning with UN sustainability goals.
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Affiliation(s)
- Sebastian Pineda
- Department of Animal Biosciences, Swedish University of Agricultural Sciences, Uppsala, Sweden.
| | - Sanna Lignell
- Division of Risk and Benefit Assessment, Swedish Food Agency, Uppsala, Sweden
| | - Irina Gyllenhammar
- Department of Animal Biosciences, Swedish University of Agricultural Sciences, Uppsala, Sweden; Division of Risk and Benefit Assessment, Swedish Food Agency, Uppsala, Sweden
| | - Erik Lampa
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Jonathan P Benskin
- Department of Environmental Science, Stockholm University, Stockholm, Sweden
| | - Thomas Lundh
- Division of Occupational and Environmental Medicine, Department of Laboratory Medicine, Lund University, Lund, Sweden
| | - Christian Lindh
- Division of Occupational and Environmental Medicine, Department of Laboratory Medicine, Lund University, Lund, Sweden
| | - Hannu Kiviranta
- Environmental Health Unit, Finnish Institute for Health and Welfare, Kuopio, Finland
| | - Anders Glynn
- Department of Animal Biosciences, Swedish University of Agricultural Sciences, Uppsala, Sweden
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Kodumuri P, Jesudason EP, Lees V. Reducing the carbon footprint in carpal tunnel surgery inside the operating room with a lean and green model: a comparative study. J Hand Surg Eur Vol 2023; 48:1022-1029. [PMID: 37226468 DOI: 10.1177/17531934231176952] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/26/2023]
Abstract
The primary aim of our study was to assess the environmental impact of moving from a standard to a lean and green model for a carpal tunnel decompression. We objectively measured the clinical waste generated, the number of single use items and the number of sterile instruments required for a standard procedure, and then moved to smaller instrument trays, smaller drapes and fewer disposables. These two models were compared for waste generation, financial costs and carbon footprint. Information prospectively collected on seven patients in the standard model and 103 patients in the lean and green model in two hospitals over a 15-month period, demonstrated a reduction in CO2 emissions of 80%, clinical waste reduction of 65%, and an average aggregate cost saving of 66%. The lean and green model can deliver a safe, efficient, cost-effective and sustainable service for patients undergoing carpal tunnel decompression.Level of evidence: III.
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Affiliation(s)
| | | | - Vivien Lees
- Manchester University Foundation Trust, Manchester, UK
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4
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Bogdan T, Xie W, Talaat H, Mir H, Venkataraman B, Banfield LE, Georgiades K, Duncan L. Longitudinal studies of child mental disorders in the general population: A systematic review of study characteristics. JCPP ADVANCES 2023; 3:e12186. [PMID: 37720586 PMCID: PMC10501698 DOI: 10.1002/jcv2.12186] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Accepted: 07/01/2023] [Indexed: 09/19/2023] Open
Abstract
Introduction Longitudinal studies of child mental disorders in the general population (herein study) investigate trends in prevalence, incidence, risk/protective factors, and sequelae for disorders. They are time and resource intensive but offer life-course perspectives and examination of causal mechanisms. Comprehensive syntheses of the methods of existing studies will provide an understanding of studies conducted to date, inventory studies, and inform the planning of new longitudinal studies. Methods A systematic review of the research literature in MEDLINE, EMBASE, and PsycINFO was conducted in December 2022 for longitudinal studies of child mental disorders in the general population. Records were grouped by study and assessed for eligibility. Data were extracted from one of four sources: a record reporting study methodology, a record documenting child mental disorder prevalence, study websites, or user guides. Narrative and tabular syntheses of the scope and design features of studies were generated. Results There were 18,133 unique records for 487 studies-159 of these were eligible for inclusion. Studies occurred from 1934 to 2019 worldwide, with data collection across 1 to 68 time points, with 70% of studies ongoing. Baseline sample sizes ranged from n = 151 to 64,136. Studies were most frequently conducted in the United States and at the city/town level. Internalizing disorders and disruptive, impulse control, and conduct disorders were the most frequently assessed mental disorders. Of studies reporting methods of disorder assessment, almost all used measurement scales. Individual, familial and environmental risk and protective factors and sequelae were examined. Conclusions These results summarize characteristics of existing longitudinal studies of child mental disorders in the general population, provide an understanding of studies conducted to date, encourage comprehensive and consistent reporting of study methodology to facilitate meta-analytic syntheses of longitudinal evidence, and offer recommendations and suggestions for the design of future studies. Registration DOI: 10.17605/OSF.IO/73HSW.
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Affiliation(s)
- Theodora Bogdan
- Department of Psychiatry and Behavioural NeurosciencesOfford Centre for Child StudiesMcMaster UniversityHamiltonOntarioCanada
| | - Weiyi Xie
- Department of Psychiatry and Behavioural NeurosciencesOfford Centre for Child StudiesMcMaster UniversityHamiltonOntarioCanada
| | - Habeba Talaat
- Department of Psychiatry and Behavioural NeurosciencesOfford Centre for Child StudiesMcMaster UniversityHamiltonOntarioCanada
| | - Hafsa Mir
- Department of Psychiatry and Behavioural NeurosciencesOfford Centre for Child StudiesMcMaster UniversityHamiltonOntarioCanada
| | - Bhargavi Venkataraman
- Department of Psychiatry and Behavioural NeurosciencesOfford Centre for Child StudiesMcMaster UniversityHamiltonOntarioCanada
| | | | - Katholiki Georgiades
- Department of Psychiatry and Behavioural NeurosciencesOfford Centre for Child StudiesMcMaster UniversityHamiltonOntarioCanada
| | - Laura Duncan
- Department of Psychiatry and Behavioural NeurosciencesOfford Centre for Child StudiesMcMaster UniversityHamiltonOntarioCanada
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Hoopmann M, Murawski A, Schümann M, Göen T, Apel P, Vogel N, Kolossa-Gehring M, Röhl C. A revised concept for deriving reference values for internal exposures to chemical substances and its application to population-representative biomonitoring data in German children and adolescents 2014-2017 (GerES V). Int J Hyg Environ Health 2023; 253:114236. [PMID: 37579634 DOI: 10.1016/j.ijheh.2023.114236] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 07/23/2023] [Accepted: 07/27/2023] [Indexed: 08/16/2023]
Abstract
HBM reference values, in contrast to toxicologically derived values, are statistically derived values that provide information on the exposure of the population. The exceedance frequency (if applicable for individual population groups) is often a first assessment standard for the local exposure situation for municipalities. More than 25 years have passed since the German Human Biomonitoring Commission (HBMC) formulated the first recommendations for the derivation of population-based reference values (HBM reference values, RV95) for substance concentrations based on HBM studies. A fundamental revision is timely, for several reasons. There have been considerable advances in relevant statistical methods, which meant that previously time-consuming and inaccessible procedures and calculations are now widely available. Furthermore, not all steps for the derivation of HBM reference values were clearly elaborated in the first recommendations. With this revision we intended to achieve a rigorous standardization of the entire process of deriving HBM reference values, also to realise a higher degree of transparency. In accordance with established international practice, it is recommended to use the 95th percentile of the reference distribution as the HBM reference value. To this end, the empirical 95th percentile of a suitable sample should be rounded, ensuring that the rounded value is within the two-sided 95% confidence interval of the percentile. All estimates should be based on distribution-free methods, and the confidence interval should be estimated using a bootstrap approach, if possible, according to the BCa ("bias-corrected and accelerated bootstrap"). A minimum sample size of 80 observations is considered necessary. The entire procedure ensures that the derived HBM reference value is robust against at least two extreme values and can also be used for underlying mixed distributions. If it is known in advance that certain subgroups (different age groups, smokers, etc.) show differing internal exposures, it is recommended that group-specific HBM reference values should be derived. Especially when the sample sizes for individual subgroups are too small, individual datasets with potential outliers can be excluded in advance to homogenize the reference value population. In the second part, new HBM reference values based on data of the German Environmental Survey for Children and Adolescents (GerES V, 2014-2017) were derived in accordance with the revised recommendations. The GerES V is the most recent population-representative monitoring of human exposure to pollutants in Germany on children and adolescents aged 3-17 years (N = 2294). RV95 for GerES V are reported for four subgroups (males/females and 3-11/12-17 years) for 108 different substances including phthalates and alternative plasticisers, metals, organochlorine pesticides, polychlorinated biphenyls (PCB), per- and polyfluoroalkyl substances (PFAS), parabens, aprotic solvents, chlorophenols, polycyclic aromatic hydrocarbons (PAH) and UV filter, in total 135 biomarkers. Algorithms implemented in R were used for the statistics and the determination of the HBM reference values. To facilitate a quality control of the study data, the corresponding R source code is given, together with graphical representations of results. The HBM reference values listed in this article replace earlier RV95 values derived by the HBMC for children and adolescents from data of precedent GerES studies (e.g. published in Apel et al., 2017).
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Affiliation(s)
| | | | - Michael Schümann
- Formerly Hamburg Ministry of Health and Consumer Protection, Hamburg, Germany
| | - Thomas Göen
- Institute and Outpatient Clinic of Occupational, Social and Environmental Medicine, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Petra Apel
- German Environment Agency (UBA), 14195, Berlin, Germany
| | - Nina Vogel
- German Environment Agency (UBA), 14195, Berlin, Germany
| | | | - Claudia Röhl
- Institute of Toxicology and Pharmacology for Natural Scientists, Christiana Albertina University Kiel, Kiel, Germany; Environmental Medicine and Toxicology, State Agency for social Services (LAsD) Schleswig-Holstein, Neumünster, Germany.
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Barbosa F, Devoz PP, Cavalcante MRN, Gallimberti M, Cruz JC, Domingo JL, Simões EJ, Lotufo P, Liu S, Bensenor I. Urinary levels of 30 metal/metalloids in the Brazilian southeast population: Findings from the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). ENVIRONMENTAL RESEARCH 2023; 225:115624. [PMID: 36878270 DOI: 10.1016/j.envres.2023.115624] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 02/14/2023] [Accepted: 03/03/2023] [Indexed: 06/18/2023]
Abstract
The assessment of risks associated with environmental exposure to metals/metalloids requires well-established reference values for each population since it varies considerably according to distinct local/regional characteristics. However, very few studies establish baseline values for these elements (essential and toxic) in large population groups, especially in Latin American countries. This study was aimed at establishing urinary reference levels of 30 metals/metalloids: aluminum (Al), antimony (Sb), arsenic (As), barium (Ba), beryllium (Be), cadmium (Cd), cerium (Ce), cesium (Cs), chromium (Cr), cobalt (Co), copper (Cu), lanthanum (La), lead (Pb), lithium (Li), strontium (Sr), manganese (Mn), mercury (Hg), molybdenum (Mo), nickel (Ni), platinum (Pt), rubidium (Rb), selenium (Se), silver (Ag), tin (Sn), tellurium (Te), thallium (Tl), thorium (Th), tungsten (W), uranium (U) and zinc (Zn) in a Brazilian southeast adult population. This pilot study is a cross-sectional analysis conducted with the first wave of the ELSA-Brasil cohort (baseline examination). A total of 996 adults (45.5% men, N = 453, mean age: 50.5, and 54.5% women, N = 543, mean age: 50.6) were included in the study. Sample analyses were performed by Inductively Coupled Plasma Mass Spectrometry (ICP-MS). Percentiles (2.5, 10, 25, 50, 75, 95 (CI95%), and 97.5) of each element (μg/g of creatinine) in the study are presented according to sex. Moreover, differences in the mean metal/metalloid urinary levels according to age, education, smoking, and alcohol intake are also presented. Finally, median found values were compared to established values of large human biomonitoring surveys previously conducted in North America and France. This is the first comprehensive and systematic human biomonitoring study that established population reference ranges for 30 (essential and/or toxic elements) in a Brazilian population group.
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Affiliation(s)
- Fernando Barbosa
- Laboratório de Toxicologia Analítica e de Sistemas (ASTOx). Departamento de Análises Clínicas, Toxicológicas e Bromatológicas, Faculdade de Ciências Farmacêuticas de Ribeirão Preto, University of São Paulo, Ribeirão Preto, SP, Brazil.
| | - Paula Picoli Devoz
- Laboratório de Toxicologia Analítica e de Sistemas (ASTOx). Departamento de Análises Clínicas, Toxicológicas e Bromatológicas, Faculdade de Ciências Farmacêuticas de Ribeirão Preto, University of São Paulo, Ribeirão Preto, SP, Brazil
| | | | - Matheus Gallimberti
- Laboratório de Toxicologia Analítica e de Sistemas (ASTOx). Departamento de Análises Clínicas, Toxicológicas e Bromatológicas, Faculdade de Ciências Farmacêuticas de Ribeirão Preto, University of São Paulo, Ribeirão Preto, SP, Brazil
| | - Jonas Carneiro Cruz
- Laboratório de Toxicologia Analítica e de Sistemas (ASTOx). Departamento de Análises Clínicas, Toxicológicas e Bromatológicas, Faculdade de Ciências Farmacêuticas de Ribeirão Preto, University of São Paulo, Ribeirão Preto, SP, Brazil
| | - José Luis Domingo
- Universitat Rovira i Virgili, School of Medicine, Reus, Catalonia, Spain
| | - Eduardo J Simões
- University of Missouri School of Medicine and Institute for Data Science and informatics, Columbia, MO, USA
| | - Paulo Lotufo
- Centro de Pesquisa Clínica e Epidemiológica, Hospital Universitário, University of São Paulo, São Paulo, SP, Brazil
| | - Simin Liu
- Departments of Epidemiology, Medicine, and Surgery, and Center for Global Cardiometabolic Health, Brown University, Providence, RI, USA.
| | - Isabela Bensenor
- Centro de Pesquisa Clínica e Epidemiológica, Hospital Universitário, University of São Paulo, São Paulo, SP, Brazil.
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Richterová D, Govarts E, Fábelová L, Rausová K, Rodriguez Martin L, Gilles L, Remy S, Colles A, Rambaud L, Riou M, Gabriel C, Sarigiannis D, Pedraza-Diaz S, Ramos JJ, Kosjek T, Snoj Tratnik J, Lignell S, Gyllenhammar I, Thomsen C, Haug LS, Kolossa-Gehring M, Vogel N, Franken C, Vanlarebeke N, Bruckers L, Stewart L, Sepai O, Schoeters G, Uhl M, Castaño A, Esteban López M, Göen T, Palkovičová Murínová Ľ. PFAS levels and determinants of variability in exposure in European teenagers - Results from the HBM4EU aligned studies (2014-2021). Int J Hyg Environ Health 2023; 247:114057. [PMID: 36327670 PMCID: PMC9758614 DOI: 10.1016/j.ijheh.2022.114057] [Citation(s) in RCA: 22] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 09/14/2022] [Accepted: 10/21/2022] [Indexed: 11/05/2022]
Abstract
BACKGROUND Perfluoroalkyl substances (PFAS) are man-made fluorinated chemicals, widely used in various types of consumer products, resulting in their omnipresence in human populations. The aim of this study was to describe current PFAS levels in European teenagers and to investigate the determinants of serum/plasma concentrations in this specific age group. METHODS PFAS concentrations were determined in serum or plasma samples from 1957 teenagers (12-18 years) from 9 European countries as part of the HBM4EU aligned studies (2014-2021). Questionnaire data were post-harmonized by each study and quality checked centrally. Only PFAS with an overall quantification frequency of at least 60% (PFOS, PFOA, PFHxS and PFNA) were included in the analyses. Sociodemographic and lifestyle factors were analysed together with food consumption frequencies to identify determinants of PFAS exposure. The variables study, sex and the highest educational level of household were included as fixed factors in the multivariable linear regression models for all PFAS and each dietary variable was added to the fixed model one by one and for each PFAS separately. RESULTS The European exposure values for PFAS were reported as geometric means with 95% confidence intervals (CI): PFOS [2.13 μg/L (1.63-2.78)], PFOA ([0.97 μg/L (0.75-1.26)]), PFNA [0.30 μg/L (0.19-0.45)] and PFHxS [0.41 μg/L (0.33-0.52)]. The estimated geometric mean exposure levels were significantly higher in the North and West versus the South and East of Europe. Boys had significantly higher concentrations of the four PFAS compared to girls and significantly higher PFASs concentrations were found in teenagers from households with a higher education level. Consumption of seafood and fish at least 2 times per week was significantly associated with 21% (95% CI: 12-31%) increase in PFOS concentrations and 20% (95% CI: 10-31%) increase in PFNA concentrations as compared to less frequent consumption of seafood and fish. The same trend was observed for PFOA and PFHxS but not statistically significant. Consumption of eggs at least 2 times per week was associated with 11% (95% CI: 2-22%) and 14% (95% CI: 2-27%) increase in PFOS and PFNA concentrations, respectively, as compared to less frequent consumption of eggs. Significantly higher PFOS concentrations were observed for participants consuming offal (14% (95% CI: 3-26%)), the same trend was observed for the other PFAS but not statistically significant. Local food consumption at least 2 times per week was associated with 40% (95% CI: 19-64%) increase in PFOS levels as compared to those consuming local food less frequently. CONCLUSION This work provides information about current levels of PFAS in European teenagers and potential dietary sources of exposure to PFAS in European teenagers. These results can be of use for targeted monitoring of PFAS in food.
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Affiliation(s)
- D Richterová
- Slovak Medical University in Bratislava, Faculty of Public Health, Department of Environmental Medicine, Bratislava, Slovakia
| | - E Govarts
- VITO Health, Flemish Institute for Technological Research (VITO), Mol, Belgium
| | - L Fábelová
- Slovak Medical University in Bratislava, Faculty of Public Health, Department of Environmental Medicine, Bratislava, Slovakia
| | - K Rausová
- Slovak Medical University in Bratislava, Faculty of Public Health, Department of Environmental Medicine, Bratislava, Slovakia
| | - L Rodriguez Martin
- VITO Health, Flemish Institute for Technological Research (VITO), Mol, Belgium
| | - L Gilles
- VITO Health, Flemish Institute for Technological Research (VITO), Mol, Belgium
| | - S Remy
- VITO Health, Flemish Institute for Technological Research (VITO), Mol, Belgium
| | - A Colles
- VITO Health, Flemish Institute for Technological Research (VITO), Mol, Belgium
| | - L Rambaud
- Department of Environmental and Occupational Health, Santé Publique France, Saint-Maurice, France
| | - M Riou
- Department of Environmental and Occupational Health, Santé Publique France, Saint-Maurice, France
| | - C Gabriel
- Environmental Engineering Laboratory, Department of Chemical Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece; HERACLES Research Center on the Exposome and Health, Center for Interdisciplinary Research and Innovation, Balkan Center, Greece
| | - D Sarigiannis
- Environmental Engineering Laboratory, Department of Chemical Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece; HERACLES Research Center on the Exposome and Health, Center for Interdisciplinary Research and Innovation, Balkan Center, Greece; Environmental Health Engineering, Institute of Advanced Study, Pavia, Italy
| | - S Pedraza-Diaz
- National Centre for Environmental Health, Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - J J Ramos
- National Centre for Environmental Health, Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - T Kosjek
- Jožef Stefan Institute, Department of Environmental Sciences, Ljubljana, Slovenia
| | - J Snoj Tratnik
- Jožef Stefan Institute, Department of Environmental Sciences, Ljubljana, Slovenia
| | - S Lignell
- Swedish Food Agency, Uppsala, Sweden
| | | | - C Thomsen
- Norwegian Institute of Public Health, Oslo, Norway
| | - L S Haug
- Norwegian Institute of Public Health, Oslo, Norway
| | | | - N Vogel
- German Environment Agency (UBA), GerES V-sub, Germany
| | - C Franken
- Provincial Institute for Hygiene, Antwerp, Belgium
| | | | - L Bruckers
- BioStat, Data Science Institute, Hasselt University, Martelarenlaan 42, 3500, Hasselt, Belgium
| | - L Stewart
- Public Health England, Chilton, United Kingdom
| | - O Sepai
- Public Health England, Chilton, United Kingdom
| | - G Schoeters
- VITO Health, Flemish Institute for Technological Research (VITO), Mol, Belgium
| | - M Uhl
- Umweltbundesamt, Vienna, Austria
| | - A Castaño
- National Centre for Environmental Health, Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - M Esteban López
- National Centre for Environmental Health, Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - T Göen
- Institute and Outpatient Clinic of Occupational, Social and Environmental Medicine, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Ľ Palkovičová Murínová
- Slovak Medical University in Bratislava, Faculty of Public Health, Department of Environmental Medicine, Bratislava, Slovakia.
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Nakayama SF, St-Amand A, Pollock T, Apel P, Bamai YA, Barr DB, Bessems J, Calafat AM, Castaño A, Covaci A, Duca RC, Faure S, Galea KS, Hays S, Hopf NB, Ito Y, Jeddi MZ, Kolossa-Gehring M, Kumar E, LaKind JS, López ME, Louro H, Macey K, Makris KC, Melnyk L, Murawski A, Naiman J, Nassif J, Noisel N, Poddalgoda D, Quirós-Alcalá L, Rafiee A, Rambaud L, Silva MJ, Ueyama J, Verner MA, Waras MN, Werry K. Interpreting biomonitoring data: Introducing the international human biomonitoring (i-HBM) working group's health-based guidance value (HB2GV) dashboard. Int J Hyg Environ Health 2023; 247:114046. [PMID: 36356350 PMCID: PMC10103580 DOI: 10.1016/j.ijheh.2022.114046] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 09/21/2022] [Accepted: 09/29/2022] [Indexed: 11/09/2022]
Abstract
Human biomonitoring (HBM) data measured in specific contexts or populations provide information for comparing population exposures. There are numerous health-based biomonitoring guidance values, but to locate these values, interested parties need to seek them out individually from publications, governmental reports, websites and other sources. Until now, there has been no central, international repository for this information. Thus, a tool is needed to help researchers, public health professionals, risk assessors, and regulatory decision makers to quickly locate relevant values on numerous environmental chemicals. A free, on-line repository for international health-based guidance values to facilitate the interpretation of HBM data is now available. The repository is referred to as the "Human Biomonitoring Health-Based Guidance Value (HB2GV) Dashboard". The Dashboard represents the efforts of the International Human Biomonitoring Working Group (i-HBM), affiliated with the International Society of Exposure Science. The i-HBM's mission is to promote the use of population-level HBM data to inform public health decision-making by developing harmonized resources to facilitate the interpretation of HBM data in a health-based context. This paper describes the methods used to compile the human biomonitoring health-based guidance values, how the values can be accessed and used, and caveats with using the Dashboard for interpreting HBM data. To our knowledge, the HB2GV Dashboard is the first open-access, curated database of HBM guidance values developed for use in interpreting HBM data. This new resource can assist global HBM data users such as risk assessors, risk managers and biomonitoring programs with a readily available compilation of guidance values.
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Affiliation(s)
- Shoji F Nakayama
- Exposure Dynamics Research Section, Health and Environmental Risk Division, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki, 305-8506, Japan.
| | - Annie St-Amand
- Healthy Environments and Consumer Safety Branch, Health Canada, 269 Laurier Ave W, A/L 4908D, Ottawa, ON, K1A 0K9, Canada.
| | - Tyler Pollock
- Healthy Environments and Consumer Safety Branch, Health Canada, 269 Laurier Ave W, A/L 4908D, Ottawa, ON, K1A 0K9, Canada.
| | - Petra Apel
- German Environment Agency, Berlin/ Dessau-Roßlau, Wörlitzer Platz 1, 06844, Dessau-Roßlau, Germany.
| | - Yu Ait Bamai
- Center for Environmental and Health Sciences, Hokkaido University, Kita12, Nishi 7, Kita-ku, Sapporo, Japan.
| | - Dana Boyd Barr
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, 1518 Clifton Road NE, Atlanta, GA, 30322, USA.
| | | | - Antonia M Calafat
- National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, USA.
| | - Argelia Castaño
- National Center for Environmental Health, Instituto de Salud Carlos III, 28220, Majadahonda, Madrid, Spain.
| | - Adrian Covaci
- Toxicological Center, University of Antwerp, Universiteitsplein 1, 2610, Wilrijk, Belgium.
| | - Radu Corneliu Duca
- Unit Environmental Hygiene and Human Biological Monitoring, Department of Health Protection, Laboratoire national de santé, 1, Rue Louis Rech, L-3555, Dudelange, Luxembourg.
| | - Sarah Faure
- Healthy Environments and Consumer Safety Branch, Health Canada, 269 Laurier Ave W, A/L 4908D, Ottawa, ON, K1A 0K9, Canada.
| | - Karen S Galea
- Institute of Occupational Medicine (IOM), Research Avenue North, Riccarton, Edinburgh, EH14 4AP, UK.
| | - Sean Hays
- Summit Toxicology LLP, 615 Nikles Dr., Unit 102, Bozeman, MT, 59715, USA.
| | - Nancy B Hopf
- Center for Primary Care and Public Health, Route de la Corniche 2, 1066, Epalinges-Lausanne, Switzerland.
| | - Yuki Ito
- Department of Occupational and Environmental Health, Nagoya City University Graduate School of Medical Sciences, 1 Kawasumi, Mizuho-cho, Mizuho-ku, Nagoya, 467-8601, Japan.
| | - Maryam Zare Jeddi
- National Institute for Public Health and the Environment (RIVM), Antonie van Leeuwenhoeklaan 9, 3721 MA, Bilthoven, the Netherlands.
| | - Marike Kolossa-Gehring
- German Environment Agency, Berlin/ Dessau-Roßlau, Wörlitzer Platz 1, 06844, Dessau-Roßlau, Germany.
| | - Eva Kumar
- Department of Health Security, Finnish Institute for Health and Welfare, Neulaniementie 4, FI-70210, Kuopio, Finland.
| | - Judy S LaKind
- LaKind Associates, LLC, 106 Oakdale Avenue, Catonsville, MD, 21228, USA; Department of Epidemiology and Public Health, University of Maryland School of Medicine, 655 W. Baltimore Street, Baltimore, MD, 21201, USA.
| | - Marta Esteban López
- National Center for Environmental Health, Instituto de Salud Carlos III, 28220, Majadahonda, Madrid, Spain.
| | - Henriqueta Louro
- Department of Human Genetics, National Institute of Health Doutor Ricardo Jorge (INSA), Av. Padre Cruz 1649-016 Lisbon, and Center for Toxicogenomics and Human Health (ToxOmics), NOVA Medical School-FCM, UNL, Rua Câmara Pestana, 6 Ed. CEDOC II, 1150-082, Lisbon, Portugal.
| | - Kristin Macey
- Healthy Environments and Consumer Safety Branch, Health Canada, 269 Laurier Ave W, Ottawa, ON, K1A 0K9, Canada.
| | - Konstantinos C Makris
- Cyprus International Institute for Environmental and Public Health, School of Health Sciences, Cyprus University of Technology, Irinis 95, 3041, Limassol, Cyprus.
| | - Lisa Melnyk
- U.S. Environmental Protection Agency, Office of Research and Development/Center for Public Health and Environmental Assessment, 26 West Martin Luther King Drive, Cincinnati, OH, 45268, USA.
| | - Aline Murawski
- German Environment Agency, Berlin/ Dessau-Roßlau, Wörlitzer Platz 1, 06844, Dessau-Roßlau, Germany.
| | - Josh Naiman
- LaKind Associates, LLC, 504 S 44th St, Philadelphia, PA, 19104, USA.
| | - Julianne Nassif
- Association of Public Health Laboratories 8515 Georgia Avenue, Suite 700, Silver Spring, MD, 20910, USA.
| | - Nolwenn Noisel
- Department of Occupational and Environmental Health, School of Public Health, Université de Montréal, C.P. 6128, Succursale Centre-Ville, Montreal, Quebec, H3C 3J7, Canada.
| | - Devika Poddalgoda
- Healthy Environments and Consumer Safety Branch, Health Canada, 269 Laurier Ave W, Ottawa, ON, K1A 0K9, Canada.
| | - Lesliam Quirós-Alcalá
- Department of Environmental Health & Engineering, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, Baltimore, MD, 21205, USA.
| | - Ata Rafiee
- Department of Medicine, University of Alberta, 173B Heritage Medical Research Centre, 11207 - 87 Ave NW, Edmonton, AB, T6G 2S2, Canada.
| | - Loïc Rambaud
- Occupational and Environmental Health Division, Santé publique France, 12 rue du Val d'Osne, 94415, Saint-Maurice, France.
| | - Maria João Silva
- Human Genetics Department, National Institute of Health Doutor Ricardo Jorge, Avenida Padre Cruz, 1649-016, Lisboa, Portugal.
| | - Jun Ueyama
- Department of Biomolecular Sciences, Field of Omics Health Sciences, Nagoya University Graduate School of Medicine, Nagoya, 461-8673, Japan.
| | - Marc-Andre Verner
- Department of Occupational and Environmental Health, School of Public Health, Université de Montréal, C.P. 6128, Succursale Centre-Ville, Montreal, Quebec, H3C 3J7, Canada.
| | - Maisarah Nasution Waras
- Toxicology Department, Advanced Medical and Dental Institute, Universiti Sains Malaysia, 13200 Kepala Batas, P. Pinang, Malaysia.
| | - Kate Werry
- Healthy Environments and Consumer Safety Branch, Health Canada, 269 Laurier Ave W, A/L 4908D, Ottawa, ON, K1A 0K9, Canada.
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9
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Hahn D, Schmied-Tobies M, Rucic E, Pluym N, Scherer M, Debiak M, Murawski A, Kolossa-Gehring M. Urinary cotinine and exposure to passive smoke in children and adolescents in Germany - Human biomonitoring results of the German Environmental Survey 2014-2017 (GerES V). ENVIRONMENTAL RESEARCH 2023; 216:114320. [PMID: 36100102 DOI: 10.1016/j.envres.2022.114320] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Revised: 09/05/2022] [Accepted: 09/07/2022] [Indexed: 06/15/2023]
Abstract
Passive smoking is a preventable and significant cause of many serious health problems, with children being particularly at risk. In the fifth German Environmental Survey (GerES V), conducted from 2014 to 2017, information reflecting the extent of passive smoke exposure in children and adolescents was collected by interview-based questionnaires and human biomonitoring (HBM) analyses of cotinine in urine from 2260 participants, aged 3-17 years. Based on these population-representative data, we describe current passive smoke exposure stratified by different subgroups and identify specific exposure determinants using multivariate logistic regression. The questionnaire data revealed that 42% of children and adolescents lived with at least one smoker in the household. Quantifiable concentrations of cotinine could be detected in 56% of the participants. The overall median concentration of cotinine was 0.2 μg/L, with children and adolescents of low socioeconomic status found to be a group particularly affected by passive smoke with higher cotinine concentrations (median = 1.2 μg/L). In the multiple analysis, the most significant predictor of cotinine levels derived from the questionnaire was passive smoking at home (odds ratio (OR) 13.07 [95CI: 4.65, 36.70]). However, parental smoking and passive smoking among friends and relatives could also be identified as independent factors influencing elevated cotinine levels. The comparison between the previous cycle GerES IV (2003-2006) on 3-14-year-olds and GerES V shows that tobacco smoke exposure of children decreased significantly. This decrease is likely an effect of extensive non-smoker protection laws being enforced 2007-2008 on federal and state level. This is reflected by a halving of urinary cotinine concentrations. Nevertheless, our results indicate that passive smoke is still a relevant source of harmful pollutants for many children and adolescents in Germany, and thus support the need for further efforts to reduce passive smoke exposure, especially in the private environment.
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Affiliation(s)
- Domenica Hahn
- German Environment Agency (UBA), Berlin/Dessau-Roßlau, Germany.
| | | | - Enrico Rucic
- German Environment Agency (UBA), Berlin/Dessau-Roßlau, Germany
| | - Nikola Pluym
- ABF Analytisch-Biologisches Forschungslabor GmbH, Planegg, Germany
| | - Max Scherer
- ABF Analytisch-Biologisches Forschungslabor GmbH, Planegg, Germany
| | | | - Aline Murawski
- German Environment Agency (UBA), Berlin/Dessau-Roßlau, Germany.
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10
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Fichter SC, Groth K, Fiedler N, Kolossa-Gehring M, Dębiak M. Lysmeral Exposure in Children and Adolescences Participating in the German Environmental Survey (2012-2015): Integrating Sex/Gender into Analysis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:17072. [PMID: 36554956 PMCID: PMC9778794 DOI: 10.3390/ijerph192417072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 11/24/2022] [Accepted: 12/04/2022] [Indexed: 06/17/2023]
Abstract
Comprehensive consideration of the biological and social diversities of sex and gender as well as their interdependencies is mostly missing in human biomonitoring (HBM) studies. Using the INGER sex/gender concept as theoretical background, we analyzed differences in exposure to lysmeral, a compound commonly found as a fragrance in cosmetics, personal care, and household products, in 2294 children and adolescents in Germany using decision tree, regression, and mediation analysis. The variables "sex assigned at birth" and "age", as well as well as use of personal care products and fabric conditioner proved to have the highest explanatory value. Mediating effects of behaviour associated with societal gender expectations were observed, as the use of cosmetics correlated highly with lysmeral metabolites concentrations in girls between 6 and 17 years, with the strongest effect in adolescents between 14 and 17 years old. In the youngest age group (3-5 years) boys showed higher concentration of the metabolite tert-butylbenzoic acid (TBBA) compared to girls of the same age but only if TBBA urine concentrations were normalized on creatinine. Our study offers the first retrospective sex/gender assessment of HBM data. It demonstrates the possibilities to rethink and broaden sex/gender analysis in existing HBM-studies and highlights the need for inclusion of new sex/gender concepts in the design of new studies.
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11
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Ringbeck B, Bury D, Lee I, Lee G, Alakeel R, Alrashed M, Tosepu R, Jayadipraja EA, Tantrakarnapa K, Kliengchuay W, Brüning T, Choi K, Koch HM. Biomarker-Determined Nonylphenol Exposure and Associated Risks in Children of Thailand, Indonesia, and Saudi Arabia. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:10229-10238. [PMID: 35801963 DOI: 10.1021/acs.est.2c01404] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Nonylphenol (NP) is an endocrine disruptor and environmental contaminant. Yet, data on individual body burdens and potential health risks in humans, especially among children, are scarce. We analyzed two specific urinary NP metabolites, hydroxy-NP (OH-NP) and oxo-NP. In contrast to parent NP, OH-NP has a much higher urinary excretion fraction (Fue), and both are insusceptible to external contamination. We investigated spot urine samples from school children of Thailand (n = 104), Indonesia (n = 89), and Saudi Arabia (n = 108) and could quantify OH-NP in 100% of Indonesian and Saudi children (median concentrations: 8.12 and 8.57 μg/L) and in 76% of Thai children (1.07 μg/L). Median oxo-NP concentrations were 0.95, 1.10, and <0.25 μg/L, respectively, in line with its lower Fue. Median daily NP intakes (DIs), back-calculated from urinary OH-NP concentrations, were significantly higher in Indonesia and Saudi Arabia [0.47 and 0.36 μg/(kg bw·d), respectively] than in Thailand [0.06 μg/(kg bw·d)]. Maximum DIs were close to the preliminary tolerable DI of 5 μg/(kg bw·d) from the Danish Environmental Protection Agency. Dominant sources of exposure or relevant exposure pathways could not be readily identified by questionnaire analyses and also potentially varied by region. The novel biomarkers provide long-needed support to the quantitative exposure and risk assessment of NP.
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Affiliation(s)
- Benedikt Ringbeck
- Institute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the Ruhr-University Bochum (IPA), Bürkle-de-la-Camp-Platz 1, 44789 Bochum, Germany
| | - Daniel Bury
- Institute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the Ruhr-University Bochum (IPA), Bürkle-de-la-Camp-Platz 1, 44789 Bochum, Germany
| | - Inae Lee
- School of Public Health, Seoul National University, Seoul 08826, Republic of Korea
| | - Gowoon Lee
- School of Public Health, Seoul National University, Seoul 08826, Republic of Korea
| | - Raid Alakeel
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, Riyadh 11451, Saudi Arabia
| | - May Alrashed
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, Riyadh 11451, Saudi Arabia
- Medical and Molecular Genetics Research, King Saud University, Riyadh 11451, Saudi Arabia
| | - Ramadhan Tosepu
- Department of Environmental Health, Faculty of Public Health, University of Halu Oleo, Kendari 93232, Indonesia
| | | | - Kraichat Tantrakarnapa
- Department of Social and Environmental Medicine, Faculty of Tropical Medicine, Mahidol University, Ratchathewi 10400, Thailand
| | - Wissanupong Kliengchuay
- Department of Social and Environmental Medicine, Faculty of Tropical Medicine, Mahidol University, Ratchathewi 10400, Thailand
| | - Thomas Brüning
- Institute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the Ruhr-University Bochum (IPA), Bürkle-de-la-Camp-Platz 1, 44789 Bochum, Germany
| | - Kyungho Choi
- School of Public Health, Seoul National University, Seoul 08826, Republic of Korea
| | - Holger M Koch
- Institute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the Ruhr-University Bochum (IPA), Bürkle-de-la-Camp-Platz 1, 44789 Bochum, Germany
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12
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Stahlmann K, Mena E, Kuhnert R, Conrad A, Bolte G. Social Inequalities in the Association between Social Infrastructure and Mental Health: An Observational Cross-Sectional Analysis of Children and Adolescents in Germany. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:6760. [PMID: 35682343 PMCID: PMC9180519 DOI: 10.3390/ijerph19116760] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Revised: 05/24/2022] [Accepted: 05/30/2022] [Indexed: 02/04/2023]
Abstract
The mental health (MH) of especially children and adolescents with low socioeconomic status (SES) benefits from access to greenspaces. This study aimed at investigating social inequalities in the association between several types of social infrastructure (SI) and MH in children and adolescents. The sample comprised 12,624 children and adolescents of the KiGGS Wave 2 study (2014-2017). KiGGS provided information on SI (access to playgrounds, sports fields, swimming pools, parks) for all children and the environmental module (GerES V) within KiGGS on the walking time to SI for a subsample. Social inequality was measured by parental SES and the German Index of Socioeconomic deprivation and MH by the Strengths and Difficulties Questionnaire. Ordinal logistic regression analyses showed that access to fewer SI places was associated with higher odds of MH problems. Children and adolescents experiencing high (but not medium or low) socioeconomic deprivation at the municipal level were more likely to have MH problems when having less access to SI places. At the individual level, MH problems in high- and low-SES, but not medium-SES children and adolescents were associated with no access to SI places. Children and adolescents from high socioeconomically deprived areas and with low and high SES might benefit from high-availability SI.
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Affiliation(s)
- Katharina Stahlmann
- Department of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany;
| | - Emily Mena
- Department of Social Epidemiology, Institute of Public Health and Nursing Research, University of Bremen, 28359 Bremen, Germany;
- Health Sciences Bremen, University of Bremen, 28359 Bremen, Germany
| | - Ronny Kuhnert
- Department of Epidemiology and Health Monitoring, Robert Koch-Institute, 13353 Berlin, Germany;
| | - André Conrad
- German Environment Agency (Umweltbundesamt), 14195 Berlin, Germany;
| | - Gabriele Bolte
- Department of Social Epidemiology, Institute of Public Health and Nursing Research, University of Bremen, 28359 Bremen, Germany;
- Health Sciences Bremen, University of Bremen, 28359 Bremen, Germany
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13
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Gilles L, Govarts E, Rodriguez Martin L, Andersson AM, Appenzeller BMR, Barbone F, Castaño A, Coertjens D, Den Hond E, Dzhedzheia V, Eržen I, López ME, Fábelová L, Fillol C, Franken C, Frederiksen H, Gabriel C, Haug LS, Horvat M, Halldórsson TI, Janasik B, Holcer NJ, Kakucs R, Karakitsios S, Katsonouri A, Klánová J, Kold-Jensen T, Kolossa-Gehring M, Konstantinou C, Koponen J, Lignell S, Lindroos AK, Makris KC, Mazej D, Morrens B, Murínová ĽP, Namorado S, Pedraza-Diaz S, Peisker J, Probst-Hensch N, Rambaud L, Rosolen V, Rucic E, Rüther M, Sarigiannis D, Tratnik JS, Standaert A, Stewart L, Szigeti T, Thomsen C, Tolonen H, Eiríksdóttir Á, Van Nieuwenhuyse A, Verheyen VJ, Vlaanderen J, Vogel N, Wasowicz W, Weber T, Zock JP, Sepai O, Schoeters G. Harmonization of Human Biomonitoring Studies in Europe: Characteristics of the HBM4EU-Aligned Studies Participants. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:6787. [PMID: 35682369 PMCID: PMC9180444 DOI: 10.3390/ijerph19116787] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Accepted: 05/24/2022] [Indexed: 11/17/2022]
Abstract
Human biomonitoring has become a pivotal tool for supporting chemicals' policies. It provides information on real-life human exposures and is increasingly used to prioritize chemicals of health concern and to evaluate the success of chemical policies. Europe has launched the ambitious REACH program in 2007 to improve the protection of human health and the environment. In October 2020 the EU commission published its new chemicals strategy for sustainability towards a toxic-free environment. The European Parliament called upon the commission to collect human biomonitoring data to support chemical's risk assessment and risk management. This manuscript describes the organization of the first HBM4EU-aligned studies that obtain comparable human biomonitoring (HBM) data of European citizens to monitor their internal exposure to environmental chemicals. The HBM4EU-aligned studies build on existing HBM capacity in Europe by aligning national or regional HBM studies. The HBM4EU-aligned studies focus on three age groups: children, teenagers, and adults. The participants are recruited between 2014 and 2021 in 11 to 12 primary sampling units that are geographically distributed across Europe. Urine samples are collected in all age groups, and blood samples are collected in children and teenagers. Auxiliary information on socio-demographics, lifestyle, health status, environment, and diet is collected using questionnaires. In total, biological samples from 3137 children aged 6-12 years are collected for the analysis of biomarkers for phthalates, HEXAMOLL® DINCH, and flame retardants. Samples from 2950 teenagers aged 12-18 years are collected for the analysis of biomarkers for phthalates, Hexamoll® DINCH, and per- and polyfluoroalkyl substances (PFASs), and samples from 3522 adults aged 20-39 years are collected for the analysis of cadmium, bisphenols, and metabolites of polyaromatic hydrocarbons (PAHs). The children's group consists of 50.4% boys and 49.5% girls, of which 44.1% live in cities, 29.0% live in towns/suburbs, and 26.8% live in rural areas. The teenagers' group includes 50.6% girls and 49.4% boys, with 37.7% of residents in cities, 31.2% in towns/suburbs, and 30.2% in rural areas. The adult group consists of 52.6% women and 47.4% men, 71.9% live in cities, 14.2% in towns/suburbs, and only 13.4% live in rural areas. The study population approaches the characteristics of the general European population based on age-matched EUROSTAT EU-28, 2017 data; however, individuals who obtained no to lower educational level (ISCED 0-2) are underrepresented. The data on internal human exposure to priority chemicals from this unique cohort will provide a baseline for Europe's strategy towards a non-toxic environment and challenges and recommendations to improve the sampling frame for future EU-wide HBM surveys are discussed.
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Affiliation(s)
- Liese Gilles
- VITO Health, Flemish Institute for Technological Research (VITO), 2400 Mol, Belgium; (E.G.); (L.R.M.); (A.S.); (V.J.V.); (G.S.)
| | - Eva Govarts
- VITO Health, Flemish Institute for Technological Research (VITO), 2400 Mol, Belgium; (E.G.); (L.R.M.); (A.S.); (V.J.V.); (G.S.)
| | - Laura Rodriguez Martin
- VITO Health, Flemish Institute for Technological Research (VITO), 2400 Mol, Belgium; (E.G.); (L.R.M.); (A.S.); (V.J.V.); (G.S.)
| | - Anna-Maria Andersson
- Department of Growth and Reproduction, Copenhagen University Hospital-Rigshospitalet, 2100 Copenhagen, Denmark; (A.-M.A.); (H.F.)
| | | | - Fabio Barbone
- Department of Medicine—DAME, University of Udine, Via Colugna 50, 33100 Udine, Italy;
| | - Argelia Castaño
- Centro Nacional de Sanidad Ambiental (CNSA), Instituto de Salud Carlos III, 28029 Madrid, Spain; (A.C.); (M.E.L.); (S.P.-D.)
| | - Dries Coertjens
- Department of Sociology, University of Antwerp, 2020 Antwerp, Belgium; (D.C.); (B.M.)
| | - Elly Den Hond
- Provincial Institute for Hygiene, 2000 Antwerp, Belgium; (E.D.H.); (C.F.)
| | - Vazha Dzhedzheia
- Environmental Engineering Laboratory, Department of Chemical Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece; (V.D.); (C.G.); (S.K.); (D.S.)
- HERACLES Research Center on the Exposome and Health, Center for Interdisciplinary Research and Innovation, Balkan Center, Bldg. B, 10th km Thessaloniki-Thermi Road, 57001 Thessaloniki, Greece
| | - Ivan Eržen
- National Institute of Public Health, 1000 Ljubljana, Slovenia;
| | - Marta Esteban López
- Centro Nacional de Sanidad Ambiental (CNSA), Instituto de Salud Carlos III, 28029 Madrid, Spain; (A.C.); (M.E.L.); (S.P.-D.)
| | - Lucia Fábelová
- Faculty of Public Health, Slovak Medical University, 833 03 Bratislava, Slovakia; (L.F.); (Ľ.P.M.)
| | - Clémence Fillol
- Santé Publique France, Environmental and Occupational Health Division, 94415 Saint-Maurice, France; (C.F.); (L.R.)
| | - Carmen Franken
- Provincial Institute for Hygiene, 2000 Antwerp, Belgium; (E.D.H.); (C.F.)
| | - Hanne Frederiksen
- Department of Growth and Reproduction, Copenhagen University Hospital-Rigshospitalet, 2100 Copenhagen, Denmark; (A.-M.A.); (H.F.)
| | - Catherine Gabriel
- Environmental Engineering Laboratory, Department of Chemical Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece; (V.D.); (C.G.); (S.K.); (D.S.)
- HERACLES Research Center on the Exposome and Health, Center for Interdisciplinary Research and Innovation, Balkan Center, Bldg. B, 10th km Thessaloniki-Thermi Road, 57001 Thessaloniki, Greece
| | - Line Småstuen Haug
- Division for Climate and Environmental Health, Norwegian Institute of Public Health, 0213 Oslo, Norway; (L.S.H.); (C.T.)
| | - Milena Horvat
- Department of Environmental Sciences, Jožef Stefan Institute, 1000 Ljubljana, Slovenia; (M.H.); (D.M.); (J.S.T.)
| | | | - Beata Janasik
- Nofer Institute of Occupational Medicine (NIOM), 91-348 Lodz, Poland; (B.J.); (W.W.)
| | - Nataša Janev Holcer
- Croatian Institute of Public Health, Division for Environmental Health, 1000 Zagreb, Croatia;
- Department of Social Medicine and Epidemiology, Faculty of Medicine, University of Rijeka, 51000 Rijeka, Croatia
| | - Réka Kakucs
- National Public Health Center, 1097 Budapest, Hungary; (R.K.); (T.S.)
| | - Spyros Karakitsios
- Environmental Engineering Laboratory, Department of Chemical Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece; (V.D.); (C.G.); (S.K.); (D.S.)
- HERACLES Research Center on the Exposome and Health, Center for Interdisciplinary Research and Innovation, Balkan Center, Bldg. B, 10th km Thessaloniki-Thermi Road, 57001 Thessaloniki, Greece
| | - Andromachi Katsonouri
- Cyprus State General Laboratory, Ministry of Health , P.O. Box 28648, 2081 Nicosia, Cyprus;
| | - Jana Klánová
- Masaryk University Research Centre for Toxic Compounds in the Environment (RECETOX), 625 00 Bohunice, Czech Republic;
| | - Tina Kold-Jensen
- Department of Clinical Pharmacology, Pharmacy and Environmental Medicine, University of Southern Denmark, 5000 Odense, Denmark;
| | - Marike Kolossa-Gehring
- German Environment Agency (UBA), 14195 Berlin, Germany; (M.K.-G.); (J.P.); (E.R.); (M.R.); (N.V.); (T.W.)
| | - Corina Konstantinou
- Cyprus International Institute for Environmental and Public Health, Cyprus University of Technology, 3603 Limassol, Cyprus; (C.K.); (K.C.M.)
| | - Jani Koponen
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare (THL), P.O. Box 30, 00271 Helsinki, Finland;
| | - Sanna Lignell
- Swedish Food Agency, 751 26 Uppsala, Sweden; (S.L.); (A.K.L.)
| | | | - Konstantinos C. Makris
- Cyprus International Institute for Environmental and Public Health, Cyprus University of Technology, 3603 Limassol, Cyprus; (C.K.); (K.C.M.)
| | - Darja Mazej
- Department of Environmental Sciences, Jožef Stefan Institute, 1000 Ljubljana, Slovenia; (M.H.); (D.M.); (J.S.T.)
| | - Bert Morrens
- Department of Sociology, University of Antwerp, 2020 Antwerp, Belgium; (D.C.); (B.M.)
| | | | - Sónia Namorado
- National Institute of Health, 1649-016 Lisbon, Portugal;
- Public Health Research Centre, NOVA National School of Public Health, Universidade NOVA de Lisboa, 1099-085 Lisbon, Portugal
| | - Susana Pedraza-Diaz
- Centro Nacional de Sanidad Ambiental (CNSA), Instituto de Salud Carlos III, 28029 Madrid, Spain; (A.C.); (M.E.L.); (S.P.-D.)
| | - Jasmin Peisker
- German Environment Agency (UBA), 14195 Berlin, Germany; (M.K.-G.); (J.P.); (E.R.); (M.R.); (N.V.); (T.W.)
| | - Nicole Probst-Hensch
- Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, 4051 Basel, Switzerland;
- Department of Clinical Research, University of Basel, 4051 Basel, Switzerland
| | - Loïc Rambaud
- Santé Publique France, Environmental and Occupational Health Division, 94415 Saint-Maurice, France; (C.F.); (L.R.)
| | - Valentina Rosolen
- Institute for Maternal and Child Health—IRCCS “Burlo Garofolo”, 34137 Trieste, Italy;
| | - Enrico Rucic
- German Environment Agency (UBA), 14195 Berlin, Germany; (M.K.-G.); (J.P.); (E.R.); (M.R.); (N.V.); (T.W.)
| | - Maria Rüther
- German Environment Agency (UBA), 14195 Berlin, Germany; (M.K.-G.); (J.P.); (E.R.); (M.R.); (N.V.); (T.W.)
| | - Dimosthenis Sarigiannis
- Environmental Engineering Laboratory, Department of Chemical Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece; (V.D.); (C.G.); (S.K.); (D.S.)
- HERACLES Research Center on the Exposome and Health, Center for Interdisciplinary Research and Innovation, Balkan Center, Bldg. B, 10th km Thessaloniki-Thermi Road, 57001 Thessaloniki, Greece
- Environmental Health Engineering, Institute of Advanced Study, Palazzo del Broletto—Piazza della Vittoria 15, 27100 Pavia, Italy
| | - Janja Snoj Tratnik
- Department of Environmental Sciences, Jožef Stefan Institute, 1000 Ljubljana, Slovenia; (M.H.); (D.M.); (J.S.T.)
| | - Arnout Standaert
- VITO Health, Flemish Institute for Technological Research (VITO), 2400 Mol, Belgium; (E.G.); (L.R.M.); (A.S.); (V.J.V.); (G.S.)
| | | | - Tamás Szigeti
- National Public Health Center, 1097 Budapest, Hungary; (R.K.); (T.S.)
| | - Cathrine Thomsen
- Division for Climate and Environmental Health, Norwegian Institute of Public Health, 0213 Oslo, Norway; (L.S.H.); (C.T.)
| | - Hanna Tolonen
- Department of Health Security, Finnish Institute for Health and Welfare (THL), P.O. Box 95, 70701 Kuopio, Finland;
| | - Ása Eiríksdóttir
- Faculty of Food Science and Nutrition, University of Iceland, 102 Reykjavik, Iceland; (T.I.H.); (Á.E.)
| | - An Van Nieuwenhuyse
- Department Health Protection, Laboratoire National de Santé, 3555 Dudelange, Luxembourg;
| | - Veerle J. Verheyen
- VITO Health, Flemish Institute for Technological Research (VITO), 2400 Mol, Belgium; (E.G.); (L.R.M.); (A.S.); (V.J.V.); (G.S.)
- Department of Biomedical Sciences, University of Antwerp, 2020 Antwerp, Belgium
| | - Jelle Vlaanderen
- Institute for Risk Assessment Sciences (IRAS), Utrecht University, 3508 TC Utrecht, The Netherlands;
| | - Nina Vogel
- German Environment Agency (UBA), 14195 Berlin, Germany; (M.K.-G.); (J.P.); (E.R.); (M.R.); (N.V.); (T.W.)
| | - Wojciech Wasowicz
- Nofer Institute of Occupational Medicine (NIOM), 91-348 Lodz, Poland; (B.J.); (W.W.)
| | - Till Weber
- German Environment Agency (UBA), 14195 Berlin, Germany; (M.K.-G.); (J.P.); (E.R.); (M.R.); (N.V.); (T.W.)
| | - Jan-Paul Zock
- National Institute for Public Health and the Environment (RIVM), 3721 MA Bilthoven, The Netherlands;
| | - Ovnair Sepai
- UK Health Security Agency, London SE1 8UG, UK; (L.S.); (O.S.)
| | - Greet Schoeters
- VITO Health, Flemish Institute for Technological Research (VITO), 2400 Mol, Belgium; (E.G.); (L.R.M.); (A.S.); (V.J.V.); (G.S.)
- Department of Biomedical Sciences, University of Antwerp, 2020 Antwerp, Belgium
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14
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Hahn D, Vogel N, Höra C, Kämpfe A, Schmied-Tobies M, Göen T, Greiner A, Aigner A, Kolossa-Gehring M. The role of dietary factors on blood lead concentration in children and adolescents - Results from the nationally representative German Environmental Survey 2014-2017 (GerES V). ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 299:118699. [PMID: 34929210 DOI: 10.1016/j.envpol.2021.118699] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Revised: 11/04/2021] [Accepted: 12/15/2021] [Indexed: 06/14/2023]
Abstract
In industrialized nations, human lead exposure has decreased significantly in recent decades. Nevertheless, due to its toxic effects, this heavy metal remains a public health concern with children and adolescents being particularly at risk. In Europe nowadays, oral intake via food and drinking water is the predominant exposure pathway for lead. The objective of the present study was to investigate the association between dietary factors and blood lead (PbB) level of 3- to 17-year-old children and adolescents living in Germany, using data from the fifth German Environmental Health Survey (GerES V) and the Child and Adolescent Health Survey (KiGGS Wave 2). GerES V and KiGGS Wave 2 are two national population-representative studies conducted between 2014 and 2017, including measurement of lead concentrations in blood from 720 children and adolescents aged 3-17 years (mean age = 10.21, SD age = 4.36). Using multiple linear regression, sociodemographic and environmental characteristics as well as dietary factors could be identified as significant exposure determinants of PbB concentrations. Lead intake via domestic tap water was the strongest predictor of elevated PbB levels with 27.6% (p-value< .001) higher concentrations of highest compared to none lead intake via tap water. Other foods which were found to be relevant to PbB levels were meat, fruit, and fruit juice. While meat or fruit consumption were each associated with about 13% (p-value < .05) lower PbB levels, fruit juice drinking was associated with up to 12.2% (p-value = .04) higher PbB levels. In conclusion, results indicate the importance of dietary habits for lead exposure in children and adolescents. To protect vulnerable groups, it is recommended that future research and lead-reducing measures pay more attention to dietary links.
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Affiliation(s)
| | - Nina Vogel
- German Environment Agency (UBA), Berlin, Germany
| | | | | | | | - Thomas Göen
- Institute and Outpatient Clinic of Occupational, Social and Environmental Medicine, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
| | - Annette Greiner
- Institute and Outpatient Clinic of Occupational, Social and Environmental Medicine, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
| | - Annette Aigner
- Institute of Biometry and Clinical Epidemiology, Charité - Universitätsmedizin Berlin, Germany
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15
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González-Alzaga B, Hernández AF, Kim Pack L, Iavicoli I, Tolonen H, Santonen T, Vinceti M, Filippini T, Moshammer H, Probst-Hensch N, Kolossa-Gehring M, Lacasaña M. The questionnaire design process in the European Human Biomonitoring Initiative (HBM4EU). ENVIRONMENT INTERNATIONAL 2022; 160:107071. [PMID: 34979351 DOI: 10.1016/j.envint.2021.107071] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Revised: 11/17/2021] [Accepted: 12/26/2021] [Indexed: 06/14/2023]
Abstract
BACKGROUND Designing questionnaires is a key point of epidemiological studies assessing human exposure to chemicals. The lack of validated questionnaires can lead to the use of previously developed and sub-optimally adapted questionnaires, which may result in information biases that affect the study's validity. On this ground, a multidisciplinary group of researchers developed a series of tools to support data collection within the HBM4EU initiative. The objective of this paper is to share the process of developing HBM4EU questionnaires, as well as to provide researchers with harmonized procedures that could help them to design future questionnaires to assess environmental exposures. METHODS In the frame of the work package on survey design and fieldwork of the HBM4EU, researchers carried out procedures necessary for the development of quality questionnaires and related data collection tools. These procedures consisted of a systematic search to identify questionnaires used in previous human biomonitoring (HBM) studies, as well as the development of a checklist and evaluation sheet to assess the questionnaires identified. The results of these evaluations were taken into consideration for the development of the final questionnaires. RESULTS The main points covered by each of the sections included in HBM4EU questionnaires are described and discussed in detail. Additional tools developed for data collection in the HBM4EU (e.g. non-responder questionnaire, satisfaction questionnaire, matrix-specific questionnaire) are also addressed. Special attention is paid to the limitations faced and hurdles overcome during the process of questionnaire development. CONCLUSIONS Designing questionnaires for use in HBM studies requires substantial effort by a multidisciplinary team to guarantee that the quality of the information collected meets the study's objectives. The process of questionnaire development described herein will contribute to improve the harmonization of HBM studies within the social and environmental context of the EU countries.
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Affiliation(s)
- Beatriz González-Alzaga
- Andalusian School of Public Health (EASP), Spain; Instituto de Investigación Biosanitaria, ibs.GRANADA. Granada, Spain
| | - Antonio F Hernández
- Andalusian School of Public Health (EASP), Spain; Instituto de Investigación Biosanitaria, ibs.GRANADA. Granada, Spain; CIBER of Epidemiology and Public Health (CIBERESP), Spain; Department of Legal Medicine and Toxicology, University of Granada (UGR) School of Medicine, Spain
| | - L Kim Pack
- German Environment Agency (UBA), Germany
| | - Ivo Iavicoli
- Section of Occupational Medicine, Department of Public Health (DPH), University of Naples Federico II, Italy
| | - Hanna Tolonen
- Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | - Tiina Santonen
- Finnish Institute of Occupational Health (FIOH), Helsinki, Finland
| | - Marco Vinceti
- Section of Public Health, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy; Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Tommaso Filippini
- Section of Public Health, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Hanns Moshammer
- Department of Environmental Health, Centre for Public Health, Medical University Vienna (MUW), Vienna, Austria
| | - Nicole Probst-Hensch
- Swiss Tropical and Public Health Institute (Swiss TPH), Basel, Switzerland; University of Basel, Switzerland
| | | | - Marina Lacasaña
- Andalusian School of Public Health (EASP), Spain; Instituto de Investigación Biosanitaria, ibs.GRANADA. Granada, Spain; CIBER of Epidemiology and Public Health (CIBERESP), Spain; Andalusian Health and Environment Observatory (OSMAN), Granada, Spain.
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16
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Birmili W, Daniels A, Bethke R, Schechner N, Brasse G, Conrad A, Kolossa-Gehring M, Debiak M, Hurraß J, Uhde E, Omelan A, Salthammer T. Formaldehyde, aliphatic aldehydes (C 2 -C 11 ), furfural, and benzaldehyde in the residential indoor air of children and adolescents during the German Environmental Survey 2014-2017 (GerES V). INDOOR AIR 2022; 32:e12927. [PMID: 34473382 DOI: 10.1111/ina.12927] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Revised: 08/13/2021] [Accepted: 08/17/2021] [Indexed: 06/13/2023]
Abstract
Indoor air concentrations of formaldehyde, furfural, benzaldehyde, and 11 aliphatic aldehydes (C2 -C11 ) were measured in residences of 639 participants in the German Environmental Survey for Children and Adolescents 2014-2017 (GerES V). Sampling was conducted using passive samplers over periods of approximately seven days for each participant. The most abundant compounds were formaldehyde and hexanal with median concentrations of 24.9 µg m-3 and 10.9 µg m-3 , respectively. Formaldehyde concentrations exceeded the Guide Value I recommended by the German Committee on Indoor Guide Values (Ausschuss für Innenraumrichtwerte - AIR) (0.10 mg m-3 ) for 0.3% of the participating residences. The sum of aliphatic n-aldehydes between C4 (butanal) and C11 (undecanal) exceeded their Guide Value (0.10 mg m-3 ) for 2.0% of the residences. The geometric mean concentrations of most aldehydes were lower than in the earlier GerES IV (2003-2006) study. Formaldehyde and hexanal concentrations, however, were comparable in both studies and showed no significant difference. Indoor aldehyde concentrations did not exhibit significant correlations with factors collected in questionnaires, such as the age of the participants, their socio-economic status, the location of the residence (former East/West Germany), migration background, tobacco exposure, and the type of furniture used. The validity of the passive sampler measurements was verified against active sampling techniques in a test chamber experiment.
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Affiliation(s)
- Wolfram Birmili
- Department II 1 "Environmental Hygiene", German Environment Agency (Umweltbundesamt), Berlin, Germany
| | - Anja Daniels
- Department II 1 "Environmental Hygiene", German Environment Agency (Umweltbundesamt), Berlin, Germany
| | - Robert Bethke
- Department II 1 "Environmental Hygiene", German Environment Agency (Umweltbundesamt), Berlin, Germany
| | - Nadine Schechner
- Department II 1 "Environmental Hygiene", German Environment Agency (Umweltbundesamt), Berlin, Germany
| | - Gregor Brasse
- Department II 1 "Environmental Hygiene", German Environment Agency (Umweltbundesamt), Berlin, Germany
| | - André Conrad
- Department II 1 "Environmental Hygiene", German Environment Agency (Umweltbundesamt), Berlin, Germany
| | - Marike Kolossa-Gehring
- Department II 1 "Environmental Hygiene", German Environment Agency (Umweltbundesamt), Berlin, Germany
| | - Malgorzata Debiak
- Department II 1 "Environmental Hygiene", German Environment Agency (Umweltbundesamt), Berlin, Germany
| | - Julia Hurraß
- Department II 1 "Environmental Hygiene", German Environment Agency (Umweltbundesamt), Berlin, Germany
- Department of Infection Control and Environmental Hygiene, Cologne Health Authority, Cologne, Germany
| | - Erik Uhde
- Department of Material Analysis and Indoor Chemistry, Fraunhofer WKI, Braunschweig, Germany
| | - Alexander Omelan
- Department of Material Analysis and Indoor Chemistry, Fraunhofer WKI, Braunschweig, Germany
| | - Tunga Salthammer
- Department of Material Analysis and Indoor Chemistry, Fraunhofer WKI, Braunschweig, Germany
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