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Kim SH, Park MJ, Park SK. Urinary concentrations of polycyclic aromatic hydrocarbon metabolites and childhood obesity. Heliyon 2023; 9:e19335. [PMID: 37674840 PMCID: PMC10477474 DOI: 10.1016/j.heliyon.2023.e19335] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 08/15/2023] [Accepted: 08/18/2023] [Indexed: 09/08/2023] Open
Abstract
Objectives Existing literature provides limited information on the association between childhood obesity and polycyclic aromatic hydrocarbons (PAHs), which are potentially obesogenic. We examined the association between urinary concentrations of PAH metabolites and obesity in the Korean pediatric population. Methods We analyzed the data of 2286 children/adolescents aged 3-17 years who participated in the Korean National Environmental Health Survey between 2015 and 2017. Urinary concentrations of 2-naphthol, 2-hydroxyfluorene, 1-hydroxyphenanthrene, and 1-hydroxypyrene were assayed using gas chromatography-mass spectrometry. Overweight/obesity was defined as a body mass index (BMI) for age ≥85th percentile. Multiple linear and logistic regression models were used to analyze the relationship of BMI z-score and overweight with urinary concentrations of PAH metabolites after adjusting for age, sex, household income, parental education level, physical activity, fast-food consumption, and environmental tobacco smoke exposure. Results BMI z-score was positively associated with 2-naphthol concentrations in children aged 6-11 and 12-17 years and with 1-hydroxypyrene concentrations in children aged 6-11 years. In the overall population, a significant rise in odds ratios for overweight/obesity across 2-naphthol quartiles was noted. Specifically, the 3rd and 4th quartiles displayed odds ratios of 1.39 [1.03, 1.88] and 1.46 [1.08, 1.99] respectively, compared to the 1st quartile (P-for-trend = 0.006). Similar associations between 2-naphthol and overweight/obesity status were observed in the 6-11- and 12-17-year age groups. There was little evidence of an association between overweight/obesity and other PAH hydroxy derivatives. Conclusions PAH exposure may be associated with increased childhood adiposity, a potential risk factor for adult obesity and adverse metabolic outcomes.
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Affiliation(s)
- Shin-Hye Kim
- Department of Pediatrics, Sanggye Paik Hospital, Inje University School of Medicine, Seoul, South Korea
| | - Mi Jung Park
- Department of Pediatrics, Sanggye Paik Hospital, Inje University School of Medicine, Seoul, South Korea
| | - Sung Kyun Park
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
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Impact of exposure to secondhand smoke on the risk of obesity in early adolescence. Pediatr Res 2023; 93:260-266. [PMID: 35963886 PMCID: PMC9375634 DOI: 10.1038/s41390-022-02231-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Accepted: 07/19/2022] [Indexed: 02/04/2023]
Abstract
BACKGROUND Exposure to secondhand smoke (SHS) might be associated with obesity in children. This study aimed to evaluate whether continuous, quit, or start exposure to SHS was associated with obesity risk in early adolescents. METHODS We used population-based longitudinal data of primary school students in Adachi City, Tokyo, Japan, in 2018 (4th grade) and 2020 (6th grade) and studied 3605 students. The association between continuous, quit, start, or never exposed to SHS from 4th to 6th grade and BMI categories (underweight or normal weight, overweight, obesity) in 6th grade was investigated using ordinal logistic regression models. RESULTS Continuous SHS group showed a higher risk of being in the high BMI category than no SHS group (OR = 1.51, 95% CI 1.16-1.96). The stratified analyses by sex showed a similar association in boys (OR = 1.74, 95% CI 1.25-2.44) but not in girls (OR = 1.14, 95% CI 0.74-1.76). Quitting SHS group did not show a higher risk of being in the high BMI category than no SHS group (OR = 1.11, 95% CI 0.75-1.66) and the same was true for boys (OR 1.46, 95% CI 0.88-2.41). CONCLUSIONS Continuous SHS was a risk factor for obesity in boys in early adolescence; however, quitting SHS may help prevent it. IMPACT Continuous secondhand smoke (SHS) was not associated with a higher risk of obesity in early adolescence in girls. Continuous SHS can be a risk factor for obesity in early adolescence in boys. Quitting SHS may help to prevent obesity in early adolescence in boys.
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Does Maternal Obesity Affect Preterm Birth? Documentary Cohort Study of Preterm in Firstborns—Silesia (Poland). CHILDREN 2022; 9:children9071007. [PMID: 35883991 PMCID: PMC9315725 DOI: 10.3390/children9071007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Revised: 06/28/2022] [Accepted: 07/04/2022] [Indexed: 11/20/2022]
Abstract
In addition to low birth weight and intrauterine growth restriction, prematurity is a major problem in modern neonatology. The etiology of premature delivery is multifactorial, but maternal obesity has been indicated as an important risk factor for preterm birth. This study aimed to assess the relationship between early pregnancy body mass index (BMI) and the risk of preterm delivery according to gestational age. In the cohort of 2794 firstborns, preterm deliveries accounted for 9.1%. Of all deliveries, 16, 48, and 189 were classified as extremely preterm, very preterm, and moderately preterm deliveries, respectively. The risk of extremely, very, and moderately preterm deliveries increased with the increasing BMI, with the highest overweight and obesity-related risk for extremely and very preterm delivery. The rate of extremely and very preterm delivery among normal-weight women (BMI 18.5 ≤ 25) was 1.8%, while that among overweight and obese women (BMI ≥ 25) was 2.36%. The rate of all preterm deliveries (22 ≤ 37 weeks) was 8% for normal-weight women and 10.3% for overweight and obese women. Compared with normal-weight women, the adjusted odds ratio (95% CI) for preterm delivery in overweight and obese women was 1.33 (0.98–1.79). In Poland, being overweight and obese during pregnancy was associated with an increased risk of preterm delivery, especially extremely and very preterm delivery. This relationship should be assessed in other populations.
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Tamana SK, Gombojav E, Kanlic A, Banzrai C, Batsukh S, Enkhtuya E, Boldbaatar B, Lanphear BP, Lear SA, McCandless LC, Venners SA, Allen RW. Portable HEPA filter air cleaner use during pregnancy and children's body mass index at two years of age: The UGAAR randomized controlled trial. ENVIRONMENT INTERNATIONAL 2021; 156:106728. [PMID: 34218184 DOI: 10.1016/j.envint.2021.106728] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Revised: 06/10/2021] [Accepted: 06/17/2021] [Indexed: 06/13/2023]
Abstract
IMPORTANCE Gestational exposure to particulate matter (PM) air pollution may increase the risk of childhood obesity, but the impact of reducing air pollution during pregnancy on obesity-related outcomes in childhood has not been examined. OBJECTIVE To assess the impact of reducing gestational PM exposure on body mass index (BMI) at two years of age. METHODS In this single-blind, parallel group randomized controlled trial in Ulaanbaatar Mongolia, we randomly assigned 540 pregnant women to receive 1-2 portable high efficiency particulate air (HEPA) filter air cleaners or no air cleaners. We measured height and weight when children were a mean age of 23.8 months. Our primary outcome was age- and sex-specific BMI z-score based on the World Health Organization 2007 Growth Charts. Secondary outcomes included age- and sex-specific weight z score, overweight/obesity (defined as BMI z-score > 2.00), and catch-up growth (defined using various cut-offs to identify children with relatively low birth weight for sex and gestational age and relatively high age- and sex-specific weight in childhood). We imputed missing outcome data using multiple imputation with chained equations and our primary analysis was by intention to treat (ITT). We estimated intervention effects on continuous and binary outcomes using linear and logistic regression, respectively. RESULTS After excluding known miscarriages, still births, and neonatal deaths our analysis included 480 children (235 control and 245 intervention). The mean (SD) child BMI z score was 0.79 (1.0); 9.8% of children were overweight or obese. The mean BMI z score of children who were randomly assigned to the intervention group was 0.16-units lower (95% CI: -0.35, 0.04) than children in the control group. The intervention was also associated with reductions in overweight/obesity (odds ratio = 0.59; 95% CI: 0.31, 1.12). Catch-up growth occurred less frequently in the intervention group, but effect estimates varied depending on the specific definition of catch-up growth and confidence intervals consistently spanned no effect. CONCLUSIONS We found that the use of portable air cleaners during pregnancy was associated with improvements in obesity-related outcomes, although some effect estimates lacked precision. Reducing PM exposure during pregnancy may lead to improvements in cardiometabolic health in childhood.
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Affiliation(s)
- Sukhpreet K Tamana
- Faculty of Health Sciences, Simon Fraser University, Burnaby, BC, Canada
| | - Enkhjargal Gombojav
- School of Public Health, Mongolian National University of Medical Sciences, Ulaanbaatar, Mongolia
| | - Adriana Kanlic
- Faculty of Health Sciences, Simon Fraser University, Burnaby, BC, Canada
| | - Chimeglkham Banzrai
- Institute of Medical Sciences, Mongolian National University of Medical Sciences, Ulaanbaatar, Mongolia
| | - Sarangerel Batsukh
- School of Public Health, Mongolian National University of Medical Sciences, Ulaanbaatar, Mongolia
| | - Enkhtuul Enkhtuya
- School of Public Health, Mongolian National University of Medical Sciences, Ulaanbaatar, Mongolia
| | - Buyantushig Boldbaatar
- School of Public Health, Mongolian National University of Medical Sciences, Ulaanbaatar, Mongolia
| | - Bruce P Lanphear
- Faculty of Health Sciences, Simon Fraser University, Burnaby, BC, Canada
| | - Scott A Lear
- Faculty of Health Sciences, Simon Fraser University, Burnaby, BC, Canada
| | | | - Scott A Venners
- Faculty of Health Sciences, Simon Fraser University, Burnaby, BC, Canada
| | - Ryan W Allen
- Faculty of Health Sciences, Simon Fraser University, Burnaby, BC, Canada.
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Carreras G, Lachi A, Cortini B, Gallus S, López MJ, López-Nicolás Á, Lugo A, Pastor MT, Soriano JB, Fernandez E, Gorini G, Castellano Y, Fu M, Ballbè M, Amalia B, Tigova O, López MJ, Continente X, Arechavala T, Henderson E, Gallus S, Lugo A, Liu X, Borroni E, Colombo P, Semple S, O’Donnell R, Dobson R, Clancy L, Keogan S, Byrne H, Behrakis P, Tzortzi A, Vardavas C, Vyzikidou VK, Bakelas G, Mattiampa G, Boffi R, Ruprecht A, De Marco C, Borgini A, Veronese C, Bertoldi M, Tittarelli A, Gorini G, Carreras G, Cortini B, Verdi S, Lachi A, Chellini E, López-Nicolás Á, Trapero-Bertran M, Guerrero DC, Radu-Loghin C, Nguyen D, Starchenko P, Soriano JB, Ancochea J, Alonso T, Pastor MT, Erro M, Roca A, Pérez P, García-Castillo E. Burden of disease from exposure to secondhand smoke in children in Europe. Pediatr Res 2021; 90:216-222. [PMID: 33149260 DOI: 10.1038/s41390-020-01223-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2020] [Revised: 10/09/2020] [Accepted: 10/13/2020] [Indexed: 11/09/2022]
Abstract
BACKGROUND Secondhand smoke (SHS) exposure at home and fetal SHS exposure during pregnancy are a major cause of disease among children. The aim of this study is quantifying the burden of disease due to SHS exposure in children and in pregnancy in 2006-2017 for the 28 European Union (EU) countries. METHODS Exposure to SHS was estimated using a multiple imputation procedure based on the Eurobarometer surveys, and SHS exposure burden was estimated with the comparative risk assessment method using meta-analytical relative risks. Data on deaths and disability-adjusted life years (DALYs) were collected from National statistics and from the Global Burden of Disease Study. RESULTS Exposure to SHS and its attributable burden stalled in 2006-2017; in pregnant women, SHS exposure was 19.8% in 2006, 19.1% in 2010, and 21.0% in 2017; in children it was 10.1% in 2006, 9.6% in 2010, and 12.1% in 2017. In 2017, 35,633 DALYs among children were attributable to SHS exposure in the EU, mainly due to low birth weight. CONCLUSIONS Comprehensive smoking bans up to 2010 contributed to reduce SHS exposure and its burden in children immediately after their implementation; however, SHS exposure still occurs, and in 2017, its burden in children was still relevant. IMPACT Exposure to secondhand smoke at home and in pregnancy is a major cause of disease among children. Smoking legislation produced the adoption of voluntary smoking bans in homes; however, secondhand smoke exposure at home still occurs and its burden is substantial. In 2017, the number of deaths and disability-adjusted life years in children attributable to exposure to secondhand smoke in the European Union countries were, respectively, 335 and 35,633. Low birth weight caused by secondhand smoke exposure in pregnancy showed the largest burden. Eastern European Union countries showed the highest burden.
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Affiliation(s)
- Giulia Carreras
- Oncologic Network, Prevention and Research Institute (ISPRO), Florence, Italy.
| | - Alessio Lachi
- Oncologic Network, Prevention and Research Institute (ISPRO), Florence, Italy
| | - Barbara Cortini
- Oncologic Network, Prevention and Research Institute (ISPRO), Florence, Italy
| | - Silvano Gallus
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS (IRFMN), Milan, Italy
| | - Maria José López
- Public Health Agency of Barcelona (ASPB), Barcelona, Spain.,CIBER Epidemiologia y Salud Pública (CIBERESP), Barcelona, Spain.,IIB Sant Pau, Barcelona, Spain
| | | | - Alessandra Lugo
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS (IRFMN), Milan, Italy
| | | | - Joan B Soriano
- Hospital Universitario La Princesa (IISP), Madrid, Spain.,Consortium for Biomedical Research in Respiratory Diseases (CIBER en Enfermedades Respiratorias, CIBERES), Madrid, Spain
| | - Esteve Fernandez
- Consortium for Biomedical Research in Respiratory Diseases (CIBER en Enfermedades Respiratorias, CIBERES), Madrid, Spain.,Catalan Institute of Oncology (ICO), L'Hopitalet de Llobregat, Barcelona, Spain.,Bellvitge Biomedical Research Institute (IDIBELL), L'Hopitalet de Llobregat, Barcelona, Spain.,University of Barcelona, Barcelona, Spain
| | - Giuseppe Gorini
- Oncologic Network, Prevention and Research Institute (ISPRO), Florence, Italy
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6
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Andriani H. Exposure to parental smoking and children being overweight: residence as an effect modifier. J Public Health (Oxf) 2021. [DOI: 10.1007/s10389-019-01153-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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Prenatal Exposure to Cigarette Smoke and Anogenital Distance at 4 Years in the INMA-Asturias Cohort. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18094774. [PMID: 33947132 PMCID: PMC8124891 DOI: 10.3390/ijerph18094774] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Revised: 04/28/2021] [Accepted: 04/28/2021] [Indexed: 11/17/2022]
Abstract
Smoking by women is associated with adverse pregnancy outcomes such as spontaneous abortion, preterm delivery, low birth weight, infertility, and prolonged time to pregnancy. Anogenital distance (AGD) is a sensitive biomarker of prenatal androgen and antiandrogen exposure. We investigated the effect of smoking and passive smoke exposure during pregnancy on anogenital distance in offspring at 4 years in the INMA-Asturias cohort (Spain). Women were interviewed during pregnancy to collect information on tobacco consumption, and anogenital distance was measured in 381 children: Anoscrotal distance in boys and anofourchetal distance in girls. We also measured maternal urinary cotinine levels at 32 weeks of pregnancy. We constructed linear regression models to analyze the association between prenatal smoke exposure and anogenital distance and adjusted the models by relevant covariates. Reported prenatal smoke exposure was associated with statistically significant increased anogenital index (AGI), both at week 12 of pregnancy (β = 0.31, 95% confidence interval: 0.00, 0.63) and at week 32 of pregnancy (β = 0.31, 95% confidence interval: 0.00, 0.63) in male children, suggesting altered androgenic signaling.
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Household Exposure to Secondhand Smoke among Chinese Children: Status, Determinants, and Co-Exposures. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17155524. [PMID: 32751695 PMCID: PMC7432650 DOI: 10.3390/ijerph17155524] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Revised: 07/23/2020] [Accepted: 07/27/2020] [Indexed: 11/17/2022]
Abstract
Smoking prevalence stays high among adults in China, which also makes children exposed to secondhand smoke (SHS) in their households. This study aimed to investigate the status of SHS exposure among Chinese children, identify the influencing factors, and determine "co-exposure" to tobacco and other smokes in households. A total of 41,439 children aged 6-17 years were recruited from 30 provinces in Mainland China through the first Chinese Environmental Exposure-Related Human Activity Model Survey for Children (CEERHAPS-C). Information regarding children's demographics, socioeconomic status, and exposures to SHS and solid fuel smoke (SFS) in households was collected using a comprehensive questionnaire. Factors that affected exposures to household smokes were identified using multivariable logistic regressions. The overall prevalence of household SHS exposure was 41.7%, and the average duration was 14.7 ± 14.6 min/day among the exposed participants. Prevalence of household SHS exposure increased among children in older age groups and with parents in lower education levels. Among SHS-exposed children, 34% had co-exposure to SFS, and they had a significantly higher risk of co-exposure than non-SHS exposed children (odds ratio = 1.12, 95% confidence interval: 1.061, 1.162). The prevalence of household SHS exposure remains high among school-age children, suggesting the need to develop and implement smoking-free home programs.
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Vrijheid M, Fossati S, Maitre L, Márquez S, Roumeliotaki T, Agier L, Andrusaityte S, Cadiou S, Casas M, de Castro M, Dedele A, Donaire-Gonzalez D, Grazuleviciene R, Haug LS, McEachan R, Meltzer HM, Papadopouplou E, Robinson O, Sakhi AK, Siroux V, Sunyer J, Schwarze PE, Tamayo-Uria I, Urquiza J, Vafeiadi M, Valentin A, Warembourg C, Wright J, Nieuwenhuijsen MJ, Thomsen C, Basagaña X, Slama R, Chatzi L. Early-Life Environmental Exposures and Childhood Obesity: An Exposome-Wide Approach. ENVIRONMENTAL HEALTH PERSPECTIVES 2020; 128:67009. [PMID: 32579081 PMCID: PMC7313401 DOI: 10.1289/ehp5975] [Citation(s) in RCA: 126] [Impact Index Per Article: 31.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Revised: 05/14/2020] [Accepted: 05/21/2020] [Indexed: 05/20/2023]
Abstract
BACKGROUND Chemical and nonchemical environmental exposures are increasingly suspected to influence the development of obesity, especially during early life, but studies mostly consider single exposure groups. OBJECTIVES Our study aimed to systematically assess the association between a wide array of early-life environmental exposures and childhood obesity, using an exposome-wide approach. METHODS The HELIX (Human Early Life Exposome) study measured child body mass index (BMI), waist circumference, skinfold thickness, and body fat mass in 1,301 children from six European birth cohorts age 6-11 y. We estimated 77 prenatal exposures and 96 childhood exposures (cross-sectionally), including indoor and outdoor air pollutants, built environment, green spaces, tobacco smoking, and biomarkers of chemical pollutants (persistent organic pollutants, metals, phthalates, phenols, and pesticides). We used an exposure-wide association study (ExWAS) to screen all exposure-outcome associations independently and used the deletion-substitution-addition (DSA) variable selection algorithm to build a final multiexposure model. RESULTS The prevalence of overweight and obesity combined was 28.8%. Maternal smoking was the only prenatal exposure variable associated with higher child BMI (z-score increase of 0.28, 95% confidence interval: 0.09, 0.48, for active vs. no smoking). For childhood exposures, the multiexposure model identified particulate and nitrogen dioxide air pollution inside the home, urine cotinine levels indicative of secondhand smoke exposure, and residence in more densely populated areas and in areas with fewer facilities to be associated with increased child BMI. Child blood levels of copper and cesium were associated with higher BMI, and levels of organochlorine pollutants, cobalt, and molybdenum were associated with lower BMI. Similar results were found for the other adiposity outcomes. DISCUSSION This first comprehensive and systematic analysis of many suspected environmental obesogens strengthens evidence for an association of smoking, air pollution exposure, and characteristics of the built environment with childhood obesity risk. Cross-sectional biomarker results may suffer from reverse causality bias, whereby obesity status influenced the biomarker concentration. https://doi.org/10.1289/EHP5975.
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Affiliation(s)
- Martine Vrijheid
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Serena Fossati
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Léa Maitre
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Sandra Márquez
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Theano Roumeliotaki
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Crete, Greece
| | - Lydiane Agier
- Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, INSERM, CNRS, University Grenoble Alpes, Institute for Advanced Biosciences (IAB), U1209 Joint Research Center, Grenoble, France
| | - Sandra Andrusaityte
- Department of Environmental Sciences, Vytautas Magnus University, Kaunas, Lithuania
| | - Solène Cadiou
- Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, INSERM, CNRS, University Grenoble Alpes, Institute for Advanced Biosciences (IAB), U1209 Joint Research Center, Grenoble, France
| | - Maribel Casas
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Montserrat de Castro
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Audrius Dedele
- Department of Environmental Sciences, Vytautas Magnus University, Kaunas, Lithuania
| | - David Donaire-Gonzalez
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
| | | | - Line S Haug
- Norwegian Institute of Public Health, Oslo, Norway
| | - Rosemary McEachan
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | | | | | - Oliver Robinson
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | | | - Valerie Siroux
- Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, INSERM, CNRS, University Grenoble Alpes, Institute for Advanced Biosciences (IAB), U1209 Joint Research Center, Grenoble, France
| | - Jordi Sunyer
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | | | - Ibon Tamayo-Uria
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
- Division of Immunology and Immunotherapy, CIMA, Universidad de Navarra, and Instituto de Investigación Sanitaria de Navarra (IdISNA), Pamplona, Spain
| | - Jose Urquiza
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Marina Vafeiadi
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Crete, Greece
| | - Antonia Valentin
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Charline Warembourg
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - John Wright
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Mark J Nieuwenhuijsen
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | | | - Xavier Basagaña
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Rémy Slama
- Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, INSERM, CNRS, University Grenoble Alpes, Institute for Advanced Biosciences (IAB), U1209 Joint Research Center, Grenoble, France
| | - Leda Chatzi
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
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Fossati S, Valvi D, Martinez D, Cirach M, Estarlich M, Fernández-Somoano A, Guxens M, Iñiguez C, Irizar A, Lertxundi A, Nieuwenhuijsen M, Tamayo I, Vioque J, Tardón A, Sunyer J, Vrijheid M. Prenatal air pollution exposure and growth and cardio-metabolic risk in preschoolers. ENVIRONMENT INTERNATIONAL 2020; 138:105619. [PMID: 32193046 DOI: 10.1016/j.envint.2020.105619] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2019] [Revised: 01/26/2020] [Accepted: 02/27/2020] [Indexed: 05/06/2023]
Abstract
OBJECTIVES We investigated the association between outdoor air pollutants exposure in the first trimester of pregnancy, and growth and cardio-metabolic risk at four years of age, and evaluated the mediating role of birth weight. METHODS We included mother-child pairs (N = 1,724) from the Spanish INMA birth cohort established in 2003-2008. First trimester of pregnancy nitrogen dioxide (NO2) and fine particles (PM2.5) exposure levels were estimated. Height, weight, waist circumference, blood pressure, and lipids were measured at four years of age. Body mass index (BMI) trajectories from birth to four years were identified. RESULTS Increased PM2.5 exposure in the first trimester of pregnancy was associated with decreased z-scores of weight (zWeight) and BMI (zBMI) (zWeight change per interquartile range increase in PM2.5 exposure = -0.12; 95% CI: -0.23, -0.01; zBMI change = -0.12; 95% CI: -0.23, -0.01). Higher NO2 and PM2.5 exposure was associated to a reduced risk of being in a trajectory with accelerated BMI gain, compared to children with the average trajectory. Birth weight partially mediated the association between PM2.5 and zWeight and zBMI. PM2.5 and NO2 were not associated with the other cardio-metabolic risk factors. CONCLUSIONS This comprehensive study of many growth and cardio-metabolic risk related outcomes suggests that air pollution exposure during pregnancy may be associated with delays in physical growth in the early years after birth. These findings imply that pregnancy exposure to air pollutants has a lasting effect on growth after birth and require follow-up at later child ages.
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Affiliation(s)
- Serena Fossati
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain.
| | - Damaskini Valvi
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - David Martinez
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Marta Cirach
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Marisa Estarlich
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain; Department of Nursing, Faculty of Nursing and Chiropody, University of Valencia; Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, Valencia, 46020, Spain
| | - Ana Fernández-Somoano
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain; IUOPA-Departamento de Medicina, University of Oviedo, Oviedo, Spain; Institute of Health Research of the Principality of Asturias - Foundation for Biosanitary Research of Asturias (ISPA-FINBA), Oviedo, Spain
| | - Mònica Guxens
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain; Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Centre-Sophia Children's Hospital, Rotterdam, the Netherlands
| | - Carmen Iñiguez
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain; Department of Statistics and Computational Research, Universitat de València, Valencia, Spain
| | - Amaia Irizar
- Biodonostia Health Research Institute, Donostia, Spain
| | - Aitana Lertxundi
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain; Biodonostia Health Research Institute, Donostia, Spain; Faculty of Medicine and Nursing of the University of the Basque Country, Bilbao, Spain
| | - Mark Nieuwenhuijsen
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Ibon Tamayo
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain; Division of Immunology and Immunotherapy, Cima, Universidad de Navarra, Pamplona, Spain; Instituto de Investigación Sanitaria de Navarra (IdISNA), Pamplona, Spain
| | - Jesus Vioque
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain; Universidad Miguel Hernandez, ISABIAL-FISABIO, Alicante, Spain
| | - Adonina Tardón
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain; IUOPA-Departamento de Medicina, University of Oviedo, Oviedo, Spain; Institute of Health Research of the Principality of Asturias - Foundation for Biosanitary Research of Asturias (ISPA-FINBA), Oviedo, Spain
| | - Jordi Sunyer
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Martine Vrijheid
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
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11
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Ng S, Aris IM, Tint MT, Gluckman PD, Godfrey KM, Shek LPC, Yap F, Tan KH, Lek N, Teoh OH, Chan YH, Chong MFF, Lee YS, Chong YS, Kramer MS, Chan SY. High Maternal Circulating Cotinine During Pregnancy is Associated With Persistently Shorter Stature From Birth to Five Years in an Asian Cohort. Nicotine Tob Res 2020; 21:1103-1112. [PMID: 30032178 DOI: 10.1093/ntr/nty148] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2017] [Accepted: 07/16/2018] [Indexed: 01/13/2023]
Abstract
BACKGROUND Self-reported maternal active smoking has been associated with reduced offspring birth length and shorter stature in early and late childhood. OBJECTIVE To use circulating cotinine as an objective biomarker to investigate the association between smoking and environmental tobacco smoke (ETS) exposure in pregnancy and longitudinal measures of offspring length/height from birth to 60 months. METHODS In 969 maternal-offspring dyads from the GUSTO cohort, maternal plasma cotinine at 26-28 weeks' gestation was measured by LC/MS/MS and categorized into four groups: Group 1: cotinine <0.17 ng/mL (the assay's detection limit) and no ETS exposure; Group 2: cotinine <0.17 ng/mL but self-reported ETS; Group 3: cotinine 0.17-13.99 ng/mL (ETS or light smoking); Group 4: cotinine ≥14 ng/mL (active smoking). RESULTS Adjusting for infant sex, gestational age at birth, ethnicity, maternal age, education, parity, BMI, and height, Group 4 offspring were shorter at birth [z-score β = -0.42 SD units (SDs) (95% CI = -0.77 to -0.06)] than Group 1 offspring. Group 4 offspring continued to be shorter at older ages, with similar effect sizes at 3 months [-0.57 SDs (-0.95 to -0.20)], 36 months [-0.53 SDs (-0.92 to -0.15)], 48 months [-0.43 SDs (-0.81 to -0.04)], and 60 months [-0.57 SDs (-0.96 to -0.17)]. Associations were particularly marked in boys. No significant differences in stature were observed in Groups 2 or 3 compared with Group 1. CONCLUSIONS This Asian longitudinal study associated high prenatal cotinine with persistently shorter stature in offspring from birth and into early childhood, whilst low prenatal cotinine levels and ETS exposure showed no such association. IMPLICATIONS Little is known about the long-term effects of prenatal tobacco exposure on offspring stature in Asia where passive smoking is common. This study has used an objective biomarker to reveal that the association of prenatal tobacco exposure with offspring length/height mainly occurs at a high maternal cotinine level of greater than 14 ng/mL in pregnancy, consistent with active smoking, but no significant associations were found with lower cotinine levels, consistent with passive smoking. Encouraging women to quit smoking prior to or during pregnancy may avert the long-term negative impact on their child's height despite appreciable prenatal ETS exposure.
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Affiliation(s)
- Sharon Ng
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore
| | - Izzuddin M Aris
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore
| | - Mya Thway Tint
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore
| | - Peter D Gluckman
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore.,Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Keith M Godfrey
- MRC Lifecourse Epidemiology Unit, Southampton, UK.,NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Lynette Pei-Chi Shek
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore.,Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Khoo Teck Puat-National University Children's Medical Institute, National University Health System, Singapore
| | - Fabian Yap
- Department of Paediatric Endocrinology, KK Women's and Children's Hospital, Singapore
| | - Kok Hian Tan
- Department of Maternal Fetal Medicine, KK Women's and Children's Hospital, Singapore.,Duke-NUS Medical School, Singapore
| | - Ngee Lek
- Department of Paediatrics, KK Women's and Children's Hospital, Singapore
| | - Oon Hoe Teoh
- Respiratory Medicine Service, Department of Paediatrics, KK Women's and Children's Hospital, Singapore
| | - Yiong Huak Chan
- Biostatistics Unit, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Mary Foong-Fong Chong
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore.,Saw Swee Hock School of Public Health, National University of Singapore, National University Health System, Singapore
| | - Yung Seng Lee
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore.,Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Division of Paediatric Endocrinology, Khoo Teck Puat-National University Children's Medical Institute, National University Health System, Singapore
| | - Yap-Seng Chong
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore.,Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore
| | - Michael S Kramer
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore.,Departments of Pediatrics and of Epidemiology, Biostatistics and Occupational Health, Faculty of Medicine, McGill University, Montreal, Canada
| | - Shiao-Yng Chan
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore.,Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore
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12
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Osorio-Yáñez C, Clemente DBP, Maitre L, Vives-Usano M, Bustamante M, Martinez D, Casas M, Alexander J, Thomsen C, Chatzi L, Gützkow KB, Grazuleviciene R, Martens DS, Plusquin M, Slama R, McEachan RC, Wright J, Yang TC, Urquiza J, Tamayo I, Sunyer J, Vafeiadi M, Nawrot TS, Vrijheid M. Early life tobacco exposure and children's telomere length: The HELIX project. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 711:135028. [PMID: 32000334 DOI: 10.1016/j.scitotenv.2019.135028] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/15/2019] [Revised: 10/14/2019] [Accepted: 10/16/2019] [Indexed: 06/10/2023]
Abstract
Telomere length and mitochondrial DNA content are considered biomarkers of cellular aging, oxidative stress, and inflammation, but there is almost no information on their association with tobacco smoke exposure in fetal and early life. The aim of this study was to assess whether prenatal and childhood tobacco exposure were associated with leukocyte telomere length (LTL) and mitochondrial DNA (mtDNA) content in children. As part of a multi-centre European birth cohort study HELIX (Human Early-Life Exposome) (n = 1396) we assessed maternal smoking status during pregnancy through questionnaires, and through urinary cotinine levels that were then used to classify women as not exposed to smoking (<10 µg/L), exposed to secondhand smoke (SHS) (10-50 µg/L) and active smokers (>50 µg/L). When the children were around 8 years of age (range: 5.4-12.0 years), childhood SHS tobacco smoke exposure was assessed through an extensive questionnaire and through measurements of urinary cotinine (<3.03 µg/L non-detected, >3.03 µg/L detected). Leukocyte mtDNA content and LTL were measured in the children at 8 years employing real time polymerase chain reaction (qPCR). Effect estimates were calculated using multivariate linear regression models for prenatal and childhood exposures adjusted for potential confounders. Maternal cotinine levels indicative of SHS exposure during pregnancy were associated with a decrease of 3.90% in LTL in children (95% CI: -6.68, -0.91), compared with non-smoking, whereas the association for maternal cotinine levels indicative of active smoking did not reach statistical significance (-3.24%; 95% CI: -6.59, 0.21). Childhood SHS tobacco exposure was not associated with LTL in children. Global SHS exposure during childhood was associated with an increase of 3.51% (95% CI: 0.78, 6.27) in mtDNA content. Our findings suggest that tobacco smoke exposure during pregnancy, even at SHS levels, may accelerate telomere shortening in children and thus induce biological aging from an early age.
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Affiliation(s)
- Citlalli Osorio-Yáñez
- ISGlobal, Institute for Global Health, Barcelona, Spain; Univeristat Pompeu Fabra, Barcelona, Spain; Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México (UNAM), México DF, Mexico
| | - Diana B P Clemente
- ISGlobal, Institute for Global Health, Barcelona, Spain; Univeristat Pompeu Fabra, Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain; Center for Environmental Sciences, Hasselt University, Hasselt, Belgium
| | - Lea Maitre
- ISGlobal, Institute for Global Health, Barcelona, Spain; Univeristat Pompeu Fabra, Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Martha Vives-Usano
- ISGlobal, Institute for Global Health, Barcelona, Spain; Univeristat Pompeu Fabra, Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Mariona Bustamante
- ISGlobal, Institute for Global Health, Barcelona, Spain; Univeristat Pompeu Fabra, Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - David Martinez
- ISGlobal, Institute for Global Health, Barcelona, Spain; Univeristat Pompeu Fabra, Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Maribel Casas
- ISGlobal, Institute for Global Health, Barcelona, Spain; Univeristat Pompeu Fabra, Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | | | | | - Leda Chatzi
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; Department of Genetics and Cell Biology, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands
| | | | | | - Dries S Martens
- Center for Environmental Sciences, Hasselt University, Hasselt, Belgium
| | - Michelle Plusquin
- Center for Environmental Sciences, Hasselt University, Hasselt, Belgium
| | - Remy Slama
- Team of Environmental Epidemiology, IAB, Institute for Advanced Biosciences, Inserm, CNRS, CHU-Grenoble-Alpes, University Grenoble-Alpes, CNRS, Grenoble, France
| | - Rosemary C McEachan
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - John Wright
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Tiffany C Yang
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Jose Urquiza
- ISGlobal, Institute for Global Health, Barcelona, Spain; Univeristat Pompeu Fabra, Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Ibon Tamayo
- ISGlobal, Institute for Global Health, Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain; Department of Statistics, Faculty of Arts and Sciences, Harvard University, Cambridge, MA, USA
| | - Jordi Sunyer
- ISGlobal, Institute for Global Health, Barcelona, Spain; Univeristat Pompeu Fabra, Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain; Municipal Institute of Medical Research (IMIM-Hospital del Mar), Barcelona, Spain
| | - Marina Vafeiadi
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece
| | - Tim S Nawrot
- Center for Environmental Sciences, Hasselt University, Hasselt, Belgium; Department of Public Health & Primary Care, Unit Environment & Health, Leuven University, Leuven, Belgium
| | - Martine Vrijheid
- ISGlobal, Institute for Global Health, Barcelona, Spain; Univeristat Pompeu Fabra, Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain.
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13
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Nadhiroh SR, Djokosujono K, Utari DM. The association between secondhand smoke exposure and growth outcomes of children: A systematic literature review. Tob Induc Dis 2020; 18:12. [PMID: 32180689 PMCID: PMC7067234 DOI: 10.18332/tid/117958] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2019] [Revised: 02/02/2020] [Accepted: 02/05/2020] [Indexed: 11/24/2022] Open
Abstract
INTRODUCTION The strong relation between maternal smoking and maternal secondhand smoke (SHS) exposure and the growth of newborn infants has been proven. However, the effect of SHS on growth outcomes of older children is not well defined. Through a systematic literature review, we sought to determine whether a relationship exists between SHS exposure and growth outcomes of children up to 8 years of age. METHODS A systematic review was performed, including articles published between 2004–2019, related to SHS exposure (prenatal and postnatal) and children’s growth (weight, length/height, and head circumference). The relevant articles were identified from Science Direct, ProQuest, Sage Publication, Scopus, Wiley Online Library, CINAHL Plus with Full Text (via EBSCOhost) and Google search. RESULTS Seventeen articles were identified, of which three categories of growth measurements were extracted, comprising weight (weight, WAZ, WHZ, and BMI), height (height/length and HAZ) and head circumference. SHS exposure both pre or postnatally was inversely associated with weight (deficit in weight, risk of underweight, risk of wasting) and height (lower length and risk of stunting) and elevated BMI of children. Furthermore, prenatal SHS exposure was associated with a lower head circumference. CONCLUSIONS The current review identified that exposure to SHS may be associated with adverse growth outcomes in children. It is crucial that active smokers, specifically those who live with children or with a pregnant partner, are made aware of the potential effects of SHS exposure on non-smokers. Further assessment of the association between exposure to SHS and other growth outcomes in other age groups is needed.
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Affiliation(s)
- Siti R Nadhiroh
- Department of Nutrition, Faculty of Public Health, Universitas Airlangga, Surabaya, Indonesia.,Department of Nutrition, Faculty of Public Health, Universitas Indonesia, Depok, Indonesia
| | | | - Diah M Utari
- Department of Nutrition, Faculty of Public Health, Universitas Indonesia, Depok, Indonesia
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14
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Impact of Carers' Smoking Status on Childhood Obesity in the Growing up in Ireland Cohort Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:ijerph16152759. [PMID: 31382368 PMCID: PMC6695652 DOI: 10.3390/ijerph16152759] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/03/2019] [Revised: 07/16/2019] [Accepted: 07/30/2019] [Indexed: 01/02/2023]
Abstract
Childhood obesity is a growing concern worldwide. The association between childhood obesity and maternal smoking and/or paternal smoking has been reported. However, few studies have explored the association between childhood obesity and exposure to carers’ smoking status. This study aimed to assess the impact of carers’ smoking status on childhood obesity in a cohort of children enrolled in the Growing up in Ireland (GUI) study. Participants from the GUI infant cohort were categorized into four groups based on their exposure status: Neither caregiver smoked (60.4%), only primary caregiver smoked (13.4%), both caregivers smoked (10.9%). Exposure to primary carers’ smoking (98% are biological mothers) was found to be significantly associated with childhood overweight/obesity at age three (Odds Ratio: 1.30, 95% CI: 1.17–1.46) and at age five (OR: 1.31, 95% CI: 1.16–1.49). Exposure to both carers’ smoking status was significantly associated with increased odds of childhood overweight/obesity across both waves. These findings emphasize the health burden of childhood obesity that may be attributable to maternal smoking postnatally and through early childhood in Ireland.
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15
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Age Differences in the Relationship between Secondhand Smoke Exposure and Risk of Metabolic Syndrome: A Meta-Analysis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:ijerph16081409. [PMID: 31010129 PMCID: PMC6518058 DOI: 10.3390/ijerph16081409] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/30/2018] [Revised: 04/01/2019] [Accepted: 04/17/2019] [Indexed: 12/15/2022]
Abstract
Secondhand smoke (SHS), a common environmental exposure factor, has become a serious public health problem. Metabolic syndrome is another worldwide clinical challenge. Our study tried to determine the age differences in the relationship between SHS and the risk of metabolic syndrome. Studies were searched in PubMed and Web of Science from 11 November to 30 November 2018. Eighteen studies were finally included based on inclusion and exclusion criteria. The relationship between SHS and the risk indicators of metabolic syndrome was analyzed. The weighted mean difference (WMD) of fasting plasma glucose (FPG), insulin, body mass index (BMI), and waist circumference (WC), and the standard mean difference (SMD) of total cholesterol, triglycerides, and low- and high-density lipoprotein-cholesterol (LDL-C, HDL-C) were calculated in a meta-analysis. SHS was positively associated with the level of insulin and WC. According to the subgroup analysis based on age difference, SHS was positively associated with FPG in the upper age group, and positively associated with LDL-C and negatively associated with HDL-C in the lower age group. BMI showed a more obvious positive correlation in the adults group than in the children and the teenagers group. In conclusion, the association of metabolic syndrome with SHS varies with age. When exposed to SHS, older people may be more susceptible to glucose metabolic disorder, but younger people may be more susceptible to lipid metabolic disorder.
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16
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Roigé-Castellví J, Murphy M, Hernández-Martínez C, Solé-Navais P, Cavallé-Busquets P, Fernández-Ballart J, Ballesteros M, Canals J. The effect of prenatal smoke exposure on child neuropsychological function: a prospective mother-child cohort study. J Reprod Infant Psychol 2019; 38:25-37. [PMID: 30777448 DOI: 10.1080/02646838.2019.1580350] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
Objective: To study prospectively the effect of prenatal smoke exposure (PSE) on child neuropsychological function and intelligence quotient (IQ).Background: PSE has been associated with adverse effects on child neurodevelopment. However, some studies reported that these associations disappear after adjustment for potential confounders.Methods: A cohortof 248 mothers-child dyad was followed from the first trimester of pregnancy until children were 7.5 years old. PSE was recorded during pregnancy by questionnaire and plasma cotinine. The Wechsler Intelligence Scale for Children, the Neuropsychological Assessment of Executive Functions for Children (ENFEN) and the School Neuropsychological Maturity Questionnaire were administered at 7.5 years of age. The effect of PSE on child IQ and neuropsychological function was assessed with ANCOVA, adjusting for obstetric, neonatal and sociodemographic factors.Results: Children whose mothers smoked throughout pregnancy scored lower in interference (ENFEN) compared to unexposed children (F = 4.1; p = .008). The results showed no differences in other executive functions, verbal and visual memory and IQ between the PSE groups.Conclusion: PSE had little effect on child neuropsychological outcome and was limited to mental flexibility. Nevertheless, these findings support further efforts aimed at encouraging mothers to quit smoking in pregnancy.
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Affiliation(s)
- Joana Roigé-Castellví
- Centre de Recerca en Avaluació i Mesura de la Conducta (CRAMC), Universitat Rovira i Virgili (URV), Tarragona, Spain
| | - Michelle Murphy
- Area of Preventive Medicine and Public Health, Faculty of Medicine and Health Sciences, URV, IISPV, Reus, Spain.,CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto Carlos III, Madrid, Spain
| | - Carmen Hernández-Martínez
- Centre de Recerca en Avaluació i Mesura de la Conducta (CRAMC), Universitat Rovira i Virgili (URV), Tarragona, Spain
| | - Pol Solé-Navais
- Area of Preventive Medicine and Public Health, Faculty of Medicine and Health Sciences, URV, IISPV, Reus, Spain.,CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto Carlos III, Madrid, Spain
| | - Pere Cavallé-Busquets
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto Carlos III, Madrid, Spain.,Area of Obstetrics and Gynecology, Universitat Rovira i Virgili and Hospital Universitari Sant Joan, Reus, Spain
| | - Joan Fernández-Ballart
- Area of Preventive Medicine and Public Health, Faculty of Medicine and Health Sciences, URV, IISPV, Reus, Spain.,CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto Carlos III, Madrid, Spain
| | - Mónica Ballesteros
- Area of Obstetrics and Gynecology, Universitat Rovira i Virgili and Hospital Universitari Joan XXIII, Tarragona, Spain
| | - Josefa Canals
- Centre de Recerca en Avaluació i Mesura de la Conducta (CRAMC), Universitat Rovira i Virgili (URV), Tarragona, Spain
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17
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De Silva AP, Moreno-Betancur M, De Livera AM, Lee KJ, Simpson JA. Multiple imputation methods for handling missing values in a longitudinal categorical variable with restrictions on transitions over time: a simulation study. BMC Med Res Methodol 2019; 19:14. [PMID: 30630434 PMCID: PMC6329074 DOI: 10.1186/s12874-018-0653-0] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2017] [Accepted: 12/27/2018] [Indexed: 12/17/2022] Open
Abstract
Background Longitudinal categorical variables are sometimes restricted in terms of how individuals transition between categories over time. For example, with a time-dependent measure of smoking categorised as never-smoker, ex-smoker, and current-smoker, current-smokers or ex-smokers cannot transition to a never-smoker at a subsequent wave. These longitudinal variables often contain missing values, however, there is little guidance on whether these restrictions need to be accommodated when using multiple imputation methods. Multiply imputing such missing values, ignoring the restrictions, could lead to implausible transitions. Methods We designed a simulation study based on the Longitudinal Study of Australian Children, where the target analysis was the association between (incomplete) maternal smoking and childhood obesity. We set varying proportions of data on maternal smoking to missing completely at random or missing at random. We compared the performance of fully conditional specification with multinomial and ordinal logistic imputation, and predictive mean matching, two-fold fully conditional specification, indicator based imputation under multivariate normal imputation with projected distance-based rounding, and continuous imputation under multivariate normal imputation with calibration, where each of these multiple imputation methods were applied, accounting for the restrictions using a semi-deterministic imputation procedure. Results Overall, we observed reduced bias when applying multiple imputation methods with restrictions, and fully conditional specification with predictive mean matching performed the best. Applying fully conditional specification and two-fold fully conditional specification for imputing nominal variables based on multinomial logistic regression had severe convergence issues. Both imputation methods under multivariate normal imputation produced biased estimates when restrictions were not accommodated, however, we observed substantial reductions in bias when restrictions were applied with continuous imputation under multivariate normal imputation with calibration. Conclusion In a similar longitudinal setting we recommend the use of fully conditional specification with predictive mean matching, with restrictions applied during the imputation stage. Electronic supplementary material The online version of this article (10.1186/s12874-018-0653-0) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Anurika Priyanjali De Silva
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia.
| | - Margarita Moreno-Betancur
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia.,Clinical Epidemiology and Biostatistics Unit, Murdoch Childrens Research Institute, Royal Children's Hospital, Melbourne, Victoria, Australia.,Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Alysha Madhu De Livera
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Katherine Jane Lee
- Clinical Epidemiology and Biostatistics Unit, Murdoch Childrens Research Institute, Royal Children's Hospital, Melbourne, Victoria, Australia.,Department of Paediatrics, University of Melbourne, Melbourne, Victoria, Australia
| | - Julie Anne Simpson
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
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18
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Magalhães EIDS, Sousa BAD, Lima NP, Horta BL. Maternal smoking during pregnancy and offspring body mass index and overweight: a systematic review and meta-analysis. CAD SAUDE PUBLICA 2019; 35:e00176118. [DOI: 10.1590/0102-311x00176118] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2018] [Accepted: 08/02/2019] [Indexed: 08/30/2023] Open
Abstract
Abstract: The present study aimed to conduct a systematic review and meta-analysis to evaluate the evidence on the association of maternal smoking during pregnancy with offspring body composition in childhood, adolescence and adulthood. MEDLINE, Web of Science and LILACS databases were searched. Reference lists were also screened. We included original studies, conducted in humans, that assessed the association of maternal smoking during pregnancy with offspring body mass index (BMI) and overweight in childhood, adolescence and adulthood, published through May 1st, 2018. A meta-analysis was used to estimate pooled effect sizes. The systematic review included 64 studies, of which 37 evaluated the association of maternal smoking during pregnancy with overweight, 13 with BMI, and 14 evaluated both outcomes. Of these 64 studies, 95 measures of effect were extracted and included in the meta-analysis. We verified that the quality of evidence across studies regarding maternal smoking in pregnancy and overweight and BMI of offspring to be moderate and low, respectively. Most studies (44 studies) were classified as moderate risk bias. Heterogeneity among studies included was high and, in the random-effects pooled analysis, maternal smoking during pregnancy increased the odds of offspring overweight (OR: 1.43, 95%CI: 1.35; 1.52) and mean difference of BMI (β: 0.31, 95%CI: 0.23; 0.39). In conclusion, offspring of mothers who smoked during pregnancy have higher odds of overweight and mean difference of BMI, and these associations persisted into adulthood.
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19
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Lau CHE, Siskos AP, Maitre L, Robinson O, Athersuch TJ, Want EJ, Urquiza J, Casas M, Vafeiadi M, Roumeliotaki T, McEachan RRC, Azad R, Haug LS, Meltzer HM, Andrusaityte S, Petraviciene I, Grazuleviciene R, Thomsen C, Wright J, Slama R, Chatzi L, Vrijheid M, Keun HC, Coen M. Determinants of the urinary and serum metabolome in children from six European populations. BMC Med 2018; 16:202. [PMID: 30404627 PMCID: PMC6223046 DOI: 10.1186/s12916-018-1190-8] [Citation(s) in RCA: 87] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2018] [Accepted: 10/10/2018] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Environment and diet in early life can affect development and health throughout the life course. Metabolic phenotyping of urine and serum represents a complementary systems-wide approach to elucidate environment-health interactions. However, large-scale metabolome studies in children combining analyses of these biological fluids are lacking. Here, we sought to characterise the major determinants of the child metabolome and to define metabolite associations with age, sex, BMI and dietary habits in European children, by exploiting a unique biobank established as part of the Human Early-Life Exposome project ( http://www.projecthelix.eu ). METHODS Metabolic phenotypes of matched urine and serum samples from 1192 children (aged 6-11) recruited from birth cohorts in six European countries were measured using high-throughput 1H nuclear magnetic resonance (NMR) spectroscopy and a targeted LC-MS/MS metabolomic assay (Biocrates AbsoluteIDQ p180 kit). RESULTS We identified both urinary and serum creatinine to be positively associated with age. Metabolic associations to BMI z-score included a novel association with urinary 4-deoxyerythreonic acid in addition to valine, serum carnitine, short-chain acylcarnitines (C3, C5), glutamate, BCAAs, lysophosphatidylcholines (lysoPC a C14:0, lysoPC a C16:1, lysoPC a C18:1, lysoPC a C18:2) and sphingolipids (SM C16:0, SM C16:1, SM C18:1). Dietary-metabolite associations included urinary creatine and serum phosphatidylcholines (4) with meat intake, serum phosphatidylcholines (12) with fish, urinary hippurate with vegetables, and urinary proline betaine and hippurate with fruit intake. Population-specific variance (age, sex, BMI, ethnicity, dietary and country of origin) was better captured in the serum than in the urine profile; these factors explained a median of 9.0% variance amongst serum metabolites versus a median of 5.1% amongst urinary metabolites. Metabolic pathway correlations were identified, and concentrations of corresponding metabolites were significantly correlated (r > 0.18) between urine and serum. CONCLUSIONS We have established a pan-European reference metabolome for urine and serum of healthy children and gathered critical resources not previously available for future investigations into the influence of the metabolome on child health. The six European cohort populations studied share common metabolic associations with age, sex, BMI z-score and main dietary habits. Furthermore, we have identified a novel metabolic association between threonine catabolism and BMI of children.
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Affiliation(s)
- Chung-Ho E Lau
- Division of Computational and Systems Medicine, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, SW7 2AZ, UK.
| | - Alexandros P Siskos
- Division of Computational and Systems Medicine, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, SW7 2AZ, UK.,Division of Cancer, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, W12 0NN, UK
| | - Léa Maitre
- ISGlobal, Barcelona, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Spain.,CIBER Epidemiologa y Salud Pública (CIBERESP), Madrid, Spain
| | - Oliver Robinson
- MRC-PHE Centre for Environment and Health, School of Public Health, Faculty of Medicine, Imperial College London, London, W2 1PG, UK
| | - Toby J Athersuch
- Division of Computational and Systems Medicine, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, SW7 2AZ, UK.,MRC-PHE Centre for Environment and Health, School of Public Health, Faculty of Medicine, Imperial College London, London, W2 1PG, UK
| | - Elizabeth J Want
- Division of Computational and Systems Medicine, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, SW7 2AZ, UK
| | - Jose Urquiza
- ISGlobal, Barcelona, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Spain.,CIBER Epidemiologa y Salud Pública (CIBERESP), Madrid, Spain
| | - Maribel Casas
- ISGlobal, Barcelona, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Spain.,CIBER Epidemiologa y Salud Pública (CIBERESP), Madrid, Spain
| | - Marina Vafeiadi
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Crete, Greece
| | - Theano Roumeliotaki
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Crete, Greece
| | - Rosemary R C McEachan
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Rafaq Azad
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Line S Haug
- Norwegian Institute of Public Health, Oslo, Norway
| | | | - Sandra Andrusaityte
- Department of Environmental Sciences, Vytautas Magnus University, Kaunas, Lithuania
| | - Inga Petraviciene
- Department of Environmental Sciences, Vytautas Magnus University, Kaunas, Lithuania
| | | | | | - John Wright
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Remy Slama
- Inserm, Univ. Grenoble Alpes, CNRS, IAB (Institute of Advanced Biosciences), Grenoble, France
| | - Leda Chatzi
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, USA
| | - Martine Vrijheid
- ISGlobal, Barcelona, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Spain.,CIBER Epidemiologa y Salud Pública (CIBERESP), Madrid, Spain
| | - Hector C Keun
- Division of Cancer, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, W12 0NN, UK
| | - Muireann Coen
- Division of Computational and Systems Medicine, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, SW7 2AZ, UK. .,Oncology Safety, Drug Safety and Metabolism, IMED Biotech Unit, AstraZeneca, 1 Francis Crick Avenue, Cambridge, CB2 0RE, UK.
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20
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Abstract
Epidemiologists often wish to estimate quantities that are easy to communicate and correspond to the results of realistic public health interventions. Methods from causal inference can answer these questions. We adopt the language of potential outcomes under Rubin's original Bayesian framework and show that the parametric g-formula is easily amenable to a Bayesian approach. We show that the frequentist properties of the Bayesian g-formula suggest it improves the accuracy of estimates of causal effects in small samples or when data are sparse. We demonstrate an approach to estimate the effect of environmental tobacco smoke on body mass index among children aged 4-9 years who were enrolled in a longitudinal birth cohort in New York, USA. We provide an algorithm and supply SAS and Stan code that can be adopted to implement this computational approach more generally.
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Affiliation(s)
- Alexander P. Keil
- Department of Epidemiology, University of North Carolina, Chapel Hill, USA
| | - Eric J. Daza
- Stanford Prevention Research Center, Stanford University School of Medicine, Palo Alto, USA
| | - Stephanie M. Engel
- Department of Epidemiology, University of North Carolina, Chapel Hill, USA
| | - Jessie P. Buckley
- Department of Epidemiology, University of North Carolina, Chapel Hill, USA
| | - Jessie K. Edwards
- Department of Epidemiology, University of North Carolina, Chapel Hill, USA
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21
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Protano C, Andreoli R, Mutti A, Manigrasso M, Avino P, Vitali M. Reference Intervals for Urinary Cotinine Levels and the Influence of Sampling Time and Other Predictors on Its Excretion Among Italian Schoolchildren. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2018; 15:ijerph15040817. [PMID: 29690510 PMCID: PMC5923859 DOI: 10.3390/ijerph15040817] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/20/2018] [Revised: 04/12/2018] [Accepted: 04/17/2018] [Indexed: 11/30/2022]
Abstract
(1) Background: Environmental Tobacco Smoke (ETS) exposure remains a public health problem worldwide. The aims are to establish urinary (u-) cotinine reference values for healthy Italian children, to evaluate the role of the sampling time and of other factors on children’s u-cotinine excretion. (2) Methods: A cross-sectional study was performed on 330 children. Information on participants was gathered by a questionnaire and u-cotinine was determined in two samples for each child, collected during the evening and the next morning. (3) Results: Reference intervals (as the 2.5th and 97.5th percentiles of the distribution) in evening and morning samples were respectively equal to 0.98–4.29 and 0.91–4.50 µg L−1 (ETS unexposed) and 1.39–16.34 and 1.49–20.95 µg L−1 (ETS exposed). No statistical differences were recovered between median values found in evening and morning samples, both in ETS unexposed and exposed. Significant predictors of u-cotinine excretions were ponderal status according to body mass index of children (β = 0.202; p-value = 0.041 for evening samples; β = 0.169; p-value = 0.039 for morning samples) and paternal educational level (β = −0.258; p-value = 0.010; for evening samples; β = −0.013; p-value = 0.003 for morning samples). (4) Conclusions: The results evidenced the need of further studies for assessing the role of confounding factors on ETS exposure, and the necessity of educational interventions on smokers for rising their awareness about ETS.
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Affiliation(s)
- Carmela Protano
- Department of Public Health and Infectious Diseases, Sapienza University of Rome, P.le Aldo Moro, 5, 00185 Rome, Italy.
| | - Roberta Andreoli
- Department of Medicine and Surgery, Laboratory of Industrial Toxicology, University of Parma, 43121 Parma, Italy.
| | - Antonio Mutti
- Department of Medicine and Surgery, Laboratory of Industrial Toxicology, University of Parma, 43121 Parma, Italy.
| | - Maurizio Manigrasso
- Department of Technological Innovations, National Institute for Insurance against Accidents at Work, Via IV Novembre 144, 00187 Rome, Italy.
| | - Pasquale Avino
- Department of Agricultural, Environmental and Food Sciences (DiAAA), University of Molise, Via De Sanctis, 86100 Campobasso, Italy.
- Institute of Ecotoxicology and Environmental Sciences, 700156 Kolkata, India.
| | - Matteo Vitali
- Department of Public Health and Infectious Diseases, Sapienza University of Rome, P.le Aldo Moro, 5, 00185 Rome, Italy.
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22
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Impact of the Social and Natural Environment on Preschool-Age Children Weight. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2018; 15:ijerph15030449. [PMID: 29510565 PMCID: PMC5876994 DOI: 10.3390/ijerph15030449] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 02/10/2018] [Revised: 02/27/2018] [Accepted: 03/02/2018] [Indexed: 12/18/2022]
Abstract
Background: The complex impact of environmental and social factors on preschool children being overweight/obese is unclear. We examined the associations between the levels of green space exposure and the risk of being overweight/obese for 4–6 year-old children and assessed the impact of maternal education on these associations. Methods: This cross-sectional study included 1489 mother-child pairs living in Kaunas, Lithuania, in 2012–2013. We assessed children overweight/obesity by standardized questionnaires using international body mass index cut-off points, and the level of greenness exposures by satellite-derived normalized difference vegetation index (NDVI) of each child’s home and by the distance to a nearest city park. The maternal education was used as the SES indicator. We used logistic regression models to investigate the strength of the associations. Results: Children from families with poorer maternal education, pathological mother-child relations and smoking mothers, and living in areas with less greenness exposure (NDVI-100 m), had significantly higher odds ratios of being overweight/obese. Lower maternal education and distance to a city park modified the effect of greenness cover level exposure on the risk of children being overweight/obese. Conclusions: Higher greenness exposure in the residential settings has beneficial effects on children’s physical development. The green spaces exposures for psychosocial stress management is recommended as a measure to prevent overweight/obesity among children.
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23
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Braimoh TS, Kobayashi S, Sata F, Sasaki S, Goudarzi H, Yila TA, Araki A, Miyashita C, Minakami H, Baba T, Sengoku K, Kishi R. Association of prenatal passive smoking and metabolic gene polymorphisms with child growth from birth to 3years of age in the Hokkaido Birth Cohort Study on Environment and Children's Health. THE SCIENCE OF THE TOTAL ENVIRONMENT 2017; 605-606:995-1002. [PMID: 28693112 DOI: 10.1016/j.scitotenv.2017.06.212] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/13/2017] [Revised: 06/23/2017] [Accepted: 06/25/2017] [Indexed: 06/07/2023]
Abstract
Although the effects of prenatal passive smoking on birth weight have been reported, the effects of metabolic gene polymorphisms on passive smoking have not been studied. Therefore, we investigated the effects of maternal passive smoking and metabolic gene polymorphisms on child growth up to 3years of age using cotinine as a biomarker. We included 1356 Japanese participants in a prospective cohort between 2003 and 2007 (cotinine levels at the third trimester≤0.21ng/mL and 0.22 to 11.48ng/mL for non-passive and passive smokers, respectively), and measured child outcomes such as weight, length, head circumference, and Kaup index. Additionally, we analyzed cytochrome P450 1A1 (CYP1A1), epoxide hydrolase 1 (EPHX1), and two N-acetyltransferase 2 (NAT2) genotypes using real-time polymerase chain reaction methods. Associations were investigated using multiple regression models. Kaup index gain from birth up to 3years of age was significantly smaller in children born to passive smokers than in those born to non-passive smokers (-0.34kg/m2; 95% confidence interval: -0.67, -0.01). Maternal CYP1A1 genotype was not associated with prenatal passive smoking and Kaup index gain, but was significantly associated with prenatal passive smoking and head circumference gain from birth up to 3years of age (-0.75cm; 95% confidence interval: -1.39, -0.12). Thus, this study suggests that prenatal passive smoking may have potent effects on postnatal growth from birth up to 3years of age. Moreover, children with maternal CYP1A1 genotype may be more susceptible to the effects of prenatal passive smoking.
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Affiliation(s)
- Titilola Serifat Braimoh
- Department of Public Health Sciences, Hokkaido University Graduate School of Medicine, North-15, West-7, Kita-ku, Sapporo 060-0838, Japan; Center for Environmental and Health Sciences, Hokkaido University, North-12, West-7, Kita-ku, Sapporo 060-0812, Japan
| | - Sumitaka Kobayashi
- Department of Public Health Sciences, Hokkaido University Graduate School of Medicine, North-15, West-7, Kita-ku, Sapporo 060-0838, Japan; Center for Environmental and Health Sciences, Hokkaido University, North-12, West-7, Kita-ku, Sapporo 060-0812, Japan
| | - Fumihiro Sata
- Center for Environmental and Health Sciences, Hokkaido University, North-12, West-7, Kita-ku, Sapporo 060-0812, Japan; Health Center, Chuo University, 42-8, Ichigaya-Hommura-cho, Shinjuku-ku, Tokyo 162-8473, Japan
| | - Seiko Sasaki
- Department of Public Health Sciences, Hokkaido University Graduate School of Medicine, North-15, West-7, Kita-ku, Sapporo 060-0838, Japan
| | - Houman Goudarzi
- Center for Environmental and Health Sciences, Hokkaido University, North-12, West-7, Kita-ku, Sapporo 060-0812, Japan; Department of Respiratory Medicine, Hokkaido University Graduate School of Medicine, North-15, West-7, Kita-ku, Sapporo 060-0838, Japan
| | - Thamar Ayo Yila
- Center for Environmental and Health Sciences, Hokkaido University, North-12, West-7, Kita-ku, Sapporo 060-0812, Japan
| | - Atsuko Araki
- Center for Environmental and Health Sciences, Hokkaido University, North-12, West-7, Kita-ku, Sapporo 060-0812, Japan
| | - Chihiro Miyashita
- Center for Environmental and Health Sciences, Hokkaido University, North-12, West-7, Kita-ku, Sapporo 060-0812, Japan
| | - Hisanori Minakami
- Department of Obstetrics and Gynecology, Hokkaido University Graduate School of Medicine, North-15, West-7, Kita-ku, Sapporo 060-0838, Japan
| | - Tsuyoshi Baba
- Department of Obstetrics and Gynecology, School of Medicine, Sapporo Medical University, South-1, West-17, Chuo-ku, Sapporo 060-8556, Japan
| | - Kazuo Sengoku
- Department of Obstetrics and Gynecology, School of Medicine, Asahikawa Medical University, Midorigaoka-Higashi 2-1-1-1, Asahikawa 078-8510, Japan
| | - Reiko Kishi
- Center for Environmental and Health Sciences, Hokkaido University, North-12, West-7, Kita-ku, Sapporo 060-0812, Japan.
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