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Penman SL, Roeder NM, Wang J, Richardson BJ, Pareek O, Freeman-Striegel L, Mohr P, Khan A, Eiden RD, Chakraborty S, Thanos PK. Vaporized nicotine in utero results in reduced birthweight, increased locomotion, and decreased voluntary exercise, dependent on sex and diet in offspring. Psychopharmacology (Berl) 2024:10.1007/s00213-024-06602-z. [PMID: 38733527 DOI: 10.1007/s00213-024-06602-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Accepted: 04/27/2024] [Indexed: 05/13/2024]
Abstract
Rationale Clinical research has shown that prenatal exposure to nicotine may result in increased obesity risk later in life. Preclinical research has corroborated this finding, but few studies have investigated inhaled nicotine or the interaction with diet on obesity risk. Objective The aim of this study was to investigate the effects of prenatal nicotine exposure on both direct and indirect obesity measures, with both sex and diet as factors. Methods Pregnant rats were exposed to either vehicle or nicotine vapor (24 mg/mL or 59 mg/mL) throughout the entire gestational period. Offspring from each treatment group were given either a normal diet or a high fat diet starting at postnatal day 22. Caloric intake, body weight, spontaneous locomotion, sleep/wake activity, and voluntary exercise were measured throughout adolescence. Pregnancy weight gain and pup birthweights were collected to further measure developmental effects of prenatal nicotine exposure. Results Both maternal weight gain during pregnancy and pup weight at birth were decreased with prenatal nicotine exposure. Early adolescent males showed increased spontaneous activity in the open field following prenatal nicotine exposure compared to vehicle counterparts, particularly those given high-fat diet. Additionally, high dose nicotine prenatal treated males ran significantly less distance on the running wheel in late adolescence compared to vehicle counterparts, in the normal diet group only. Conclusion The results presented here show decreased birthweight, hyperactivity, and decreased voluntary exercise in adolescence following prenatal nicotine exposure in dose, sex, and diet dependent manners, which could lead to increased obesity risk in adulthood.
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Affiliation(s)
- Samantha L Penman
- Behavioral Neuropharmacology and Neuroimaging Laboratory on Addictions (BNNLA), Department of Pharmacology and Toxicology, Jacobs School of Medicine and Biomedical Sciences, Clinical Research Institute on Addictions, University at Buffalo, 1021 Main Street, Buffalo, NY, 14203-1016, USA
| | - Nicole M Roeder
- Behavioral Neuropharmacology and Neuroimaging Laboratory on Addictions (BNNLA), Department of Pharmacology and Toxicology, Jacobs School of Medicine and Biomedical Sciences, Clinical Research Institute on Addictions, University at Buffalo, 1021 Main Street, Buffalo, NY, 14203-1016, USA
- Department of Psychology, University at Buffalo, Buffalo, NY, USA
| | - Jia Wang
- Department of Biostatistics, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY, USA
| | - Brittany J Richardson
- Behavioral Neuropharmacology and Neuroimaging Laboratory on Addictions (BNNLA), Department of Pharmacology and Toxicology, Jacobs School of Medicine and Biomedical Sciences, Clinical Research Institute on Addictions, University at Buffalo, 1021 Main Street, Buffalo, NY, 14203-1016, USA
| | - Ojas Pareek
- Behavioral Neuropharmacology and Neuroimaging Laboratory on Addictions (BNNLA), Department of Pharmacology and Toxicology, Jacobs School of Medicine and Biomedical Sciences, Clinical Research Institute on Addictions, University at Buffalo, 1021 Main Street, Buffalo, NY, 14203-1016, USA
| | - Lily Freeman-Striegel
- Behavioral Neuropharmacology and Neuroimaging Laboratory on Addictions (BNNLA), Department of Pharmacology and Toxicology, Jacobs School of Medicine and Biomedical Sciences, Clinical Research Institute on Addictions, University at Buffalo, 1021 Main Street, Buffalo, NY, 14203-1016, USA
| | - Patrick Mohr
- Behavioral Neuropharmacology and Neuroimaging Laboratory on Addictions (BNNLA), Department of Pharmacology and Toxicology, Jacobs School of Medicine and Biomedical Sciences, Clinical Research Institute on Addictions, University at Buffalo, 1021 Main Street, Buffalo, NY, 14203-1016, USA
| | - Anas Khan
- Behavioral Neuropharmacology and Neuroimaging Laboratory on Addictions (BNNLA), Department of Pharmacology and Toxicology, Jacobs School of Medicine and Biomedical Sciences, Clinical Research Institute on Addictions, University at Buffalo, 1021 Main Street, Buffalo, NY, 14203-1016, USA
| | - Rina D Eiden
- Department of Psychology, Social Science Research Institute, The Pennsylvania State University, University Park, PA, 16801, USA
| | - Saptarshi Chakraborty
- Department of Biostatistics, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY, USA
| | - Panayotis K Thanos
- Behavioral Neuropharmacology and Neuroimaging Laboratory on Addictions (BNNLA), Department of Pharmacology and Toxicology, Jacobs School of Medicine and Biomedical Sciences, Clinical Research Institute on Addictions, University at Buffalo, 1021 Main Street, Buffalo, NY, 14203-1016, USA.
- Department of Psychology, University at Buffalo, Buffalo, NY, USA.
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Cáceres A, Carreras-Gallo N, Andrusaityte S, Bustamante M, Carracedo Á, Chatzi L, Dwaraka VB, Grazuleviciene R, Gutzkow KB, Lepeule J, Maitre L, Mendez TL, Nieuwenhuijsen M, Slama R, Smith R, Stratakis N, Thomsen C, Urquiza J, Went H, Wright J, Yang T, Casas M, Vrijheid M, González JR. Prenatal environmental exposures associated with sex differences in childhood obesity and neurodevelopment. BMC Med 2023; 21:142. [PMID: 37046291 PMCID: PMC10099694 DOI: 10.1186/s12916-023-02815-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Accepted: 03/06/2023] [Indexed: 04/14/2023] Open
Abstract
BACKGROUND Obesity and neurodevelopmental delay are complex traits that often co-occur and differ between boys and girls. Prenatal exposures are believed to influence children's obesity, but it is unknown whether exposures of pregnant mothers can confer a different risk of obesity between sexes, and whether they can affect neurodevelopment. METHODS We analyzed data from 1044 children from the HELIX project, comprising 93 exposures during pregnancy, and clinical, neuropsychological, and methylation data during childhood (5-11 years). Using exposome-wide interaction analyses, we identified prenatal exposures with the highest sexual dimorphism in obesity risk, which were used to create a multiexposure profile. We applied causal random forest to classify individuals into two environments: E1 and E0. E1 consists of a combination of exposure levels where girls have significantly less risk of obesity than boys, as compared to E0, which consists of the remaining combination of exposure levels. We investigated whether the association between sex and neurodevelopmental delay also differed between E0 and E1. We used methylation data to perform an epigenome-wide association study between the environments to see the effect of belonging to E1 or E0 at the molecular level. RESULTS We observed that E1 was defined by the combination of low dairy consumption, non-smokers' cotinine levels in blood, low facility richness, and the presence of green spaces during pregnancy (ORinteraction = 0.070, P = 2.59 × 10-5). E1 was also associated with a lower risk of neurodevelopmental delay in girls, based on neuropsychological tests of non-verbal intelligence (ORinteraction = 0.42, P = 0.047) and working memory (ORinteraction = 0.31, P = 0.02). In line with this, several neurodevelopmental functions were enriched in significant differentially methylated probes between E1 and E0. CONCLUSIONS The risk of obesity can be different for boys and girls in certain prenatal environments. We identified an environment combining four exposure levels that protect girls from obesity and neurodevelopment delay. The combination of single exposures into multiexposure profiles using causal inference can help determine populations at risk.
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Affiliation(s)
- Alejandro Cáceres
- Instituto de Salud Global de Barcelona (ISGlobal), 08003, Barcelona, Spain.
- Centro de Investigación Biomédica en Red en Epidemiología Y Salud Pública (CIBERESP), Madrid, Spain.
- Department of Mathematics, Escola d'Enginyeria de Barcelona Est (EEBE), Universitat Politècnica de Catalunya, 08019, Barcelona, Spain.
| | | | - Sandra Andrusaityte
- Department of Environmental Science, Vytautas Magnus University, 44248, Kaunas, Lithuania
| | - Mariona Bustamante
- Instituto de Salud Global de Barcelona (ISGlobal), 08003, Barcelona, Spain
- Centro de Investigación Biomédica en Red en Epidemiología Y Salud Pública (CIBERESP), Madrid, Spain
- Department of Health and Experimental Sciences, Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Center for Genomic Regulation (CRG), Barcelona, Institute of Science and Technology (BIST), Barcelona, Spain
| | - Ángel Carracedo
- Medicine Genomics Group, Centro de Investigación Biomédica en Red Enfermedades Raras (CIBERER), CIMUS, University of Santiago de Compostela, Santiago de Compostela, Spain
- Galician Foundation of Genomic Medicine, Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Servicio Gallego de Salud (SERGAS), Galicia, Santiago de Compostela, Spain
| | - Leda Chatzi
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, USA
| | | | - Regina Grazuleviciene
- Department of Environmental Science, Vytautas Magnus University, 44248, Kaunas, Lithuania
| | - Kristine Bjerve Gutzkow
- Division of Climate and Environmental Health, Norwegian Institute of Public Health, 0456, Oslo, Norway
| | - Johanna Lepeule
- Institut National de La Santé Et de La Recherche Médicale (Inserm) and Université Grenoble-Alpes, Institute for Advanced Biosciences (IAB), Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, Grenoble, France
| | - Léa Maitre
- Instituto de Salud Global de Barcelona (ISGlobal), 08003, Barcelona, Spain
- Centro de Investigación Biomédica en Red en Epidemiología Y Salud Pública (CIBERESP), Madrid, Spain
- Department of Health and Experimental Sciences, Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | | | - Mark Nieuwenhuijsen
- Instituto de Salud Global de Barcelona (ISGlobal), 08003, Barcelona, Spain
- Centro de Investigación Biomédica en Red en Epidemiología Y Salud Pública (CIBERESP), Madrid, Spain
- Department of Health and Experimental Sciences, Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Remy Slama
- Institut National de La Santé Et de La Recherche Médicale (Inserm) and Université Grenoble-Alpes, Institute for Advanced Biosciences (IAB), Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, Grenoble, France
| | | | - Nikos Stratakis
- Instituto de Salud Global de Barcelona (ISGlobal), 08003, Barcelona, Spain
| | - Cathrine Thomsen
- Division of Climate and Environmental Health, Norwegian Institute of Public Health, 0456, Oslo, Norway
| | - Jose Urquiza
- Instituto de Salud Global de Barcelona (ISGlobal), 08003, Barcelona, Spain
- Centro de Investigación Biomédica en Red en Epidemiología Y Salud Pública (CIBERESP), Madrid, Spain
- Department of Health and Experimental Sciences, Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | | | - John Wright
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Tiffany Yang
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Maribel Casas
- Instituto de Salud Global de Barcelona (ISGlobal), 08003, Barcelona, Spain
- Centro de Investigación Biomédica en Red en Epidemiología Y Salud Pública (CIBERESP), Madrid, Spain
- Department of Health and Experimental Sciences, Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Martine Vrijheid
- Instituto de Salud Global de Barcelona (ISGlobal), 08003, Barcelona, Spain
- Centro de Investigación Biomédica en Red en Epidemiología Y Salud Pública (CIBERESP), Madrid, Spain
- Department of Health and Experimental Sciences, Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Juan R González
- Instituto de Salud Global de Barcelona (ISGlobal), 08003, Barcelona, Spain.
- Centro de Investigación Biomédica en Red en Epidemiología Y Salud Pública (CIBERESP), Madrid, Spain.
- Department of Mathematics, Universitat Autònoma de Barcelona, Bellaterra, 08193, Barcelona , Spain.
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Yamashita M, Yorifuji T, Matsumoto N, Kubo T, Tsukahara H. Early childhood exposure to maternal smoking and obesity: A nationwide longitudinal survey in Japan. Clin Obes 2022; 13:e12572. [PMID: 36504321 DOI: 10.1111/cob.12572] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Revised: 11/08/2022] [Accepted: 11/12/2022] [Indexed: 12/14/2022]
Abstract
Involuntary exposure to tobacco smoke is suspected to be one of the risks factors that are associated with obesity in children. The purpose of this study was to examine the relationship between early childhood exposure to tobacco smoke and the risk of obesity and overweight in Japan. This study utilized a nationwide, population-based longitudinal survey. The participants were restricted to 32 081 children who had available information on maternal smoking history as well as childhood height and weight. We conducted a binomial log-linear regression analysis with children of non-smoking mothers as the reference group. The children with mothers who were smokers had a higher risk of developing obesity or being overweight compared to the children with mothers who were nonsmokers. The risk ratios were 1.20 (95% confidence interval [CI]: 1.09-1.32) for overweight and 1.17 (95% CI: 0.95-1.44) for obesity. Early exposure to maternal smoking increases the risk of being overweight and having obesity during childhood. The increased risk is more pronounced among children with mothers, smoked heavily, or parents, who were smokers.
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Affiliation(s)
- Miho Yamashita
- Department of Foods and Human Nutrition Faculty of Human Life Sciences, Notre Dame Seishin University, Okayama, Japan
| | - Takashi Yorifuji
- Department of Epidemiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Naomi Matsumoto
- Department of Epidemiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Toshihide Kubo
- Department of Pediatrics, National Hospital Organization, Okayama Medical Center, Okayama, Japan
| | - Hirokazu Tsukahara
- Department of Pediatrics, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan
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Moore BF, Kreitner KJ, Starling AP, Martenies SE, Magzamen S, Clark M, Dabelea D. Early-life exposure to tobacco and childhood adiposity: Identifying windows of susceptibility. Pediatr Obes 2022; 17:e12967. [PMID: 36350199 PMCID: PMC10035041 DOI: 10.1111/ijpo.12967] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 07/11/2022] [Accepted: 07/18/2022] [Indexed: 01/27/2023]
Abstract
BACKGROUND Early-life exposure to tobacco is associated with obesity, but the most susceptible developmental periods are unknown. OBJECTIVE To explore windows of susceptibility in a cohort of 568 mother-child pairs. METHODS We measured seven measures of tobacco exposure (five self-reported and two biomarkers) spanning from pre-conception to age 5 years. Mothers self-reported active smoking (pre-conception, 17 weeks, and delivery) and household smokers (5 and 18 months postnatally). Cotinine was measured in maternal urine (27 weeks) and child urine (5 years). Adiposity (fat mass percentage) was measured at birth and 5 years via air displacement plethysmography. Using a multiple informant approach, we tested whether adiposity (5 years) and changes in adiposity (from birth to 5 years) differed by the seven measures of tobacco exposure. RESULTS The associations may depend on timing. For example, only pre-conception (β = 3.1%; 95% CI: 1.0-5.1) and late gestation (β = 4.0%; 95% CI: 0.4-7.6) exposures influenced adiposity accretion from birth to 5 years (p for interaction = 0.01). Early infancy exposure was also associated with 1.7% higher adiposity at 5 years (95% CI: 0.1-3.2). Mid-pregnancy and early childhood exposures did not influence adiposity. CONCLUSIONS Pre-conception, late gestation, and early infancy exposures to tobacco may have the greatest impact on childhood adiposity.
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Affiliation(s)
- Brianna F. Moore
- Department of Epidemiology, Human Genetics, and Environmental Sciences, The University of Texas Health Science Center, Austin, Texas, USA
- Department of Epidemiology, Colorado School of Public Health, Aurora, Colorado, USA
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Colorado School of Public Health, Aurora, Colorado, USA
| | - Kimberly J. Kreitner
- Department of Epidemiology, Human Genetics, and Environmental Sciences, The University of Texas Health Science Center, Austin, Texas, USA
| | - Anne P. Starling
- Department of Epidemiology, Colorado School of Public Health, Aurora, Colorado, USA
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Colorado School of Public Health, Aurora, Colorado, USA
| | - Sheena E. Martenies
- Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Sheryl Magzamen
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, Colorado, USA
| | - Maggie Clark
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, Colorado, USA
| | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health, Aurora, Colorado, USA
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Colorado School of Public Health, Aurora, Colorado, USA
- Department of Pediatrics, University of Colorado School of Medicine, Aurora, Colorado, USA
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5
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White O, Roeder N, Blum K, Eiden RD, Thanos PK. Prenatal Effects of Nicotine on Obesity Risks: A Narrative Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19159477. [PMID: 35954830 PMCID: PMC9368674 DOI: 10.3390/ijerph19159477] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Revised: 07/25/2022] [Accepted: 07/29/2022] [Indexed: 11/16/2022]
Abstract
Nicotine usage by mothers throughout pregnancy has been observed to relate to numerous deleterious effects in children, especially relating to obesity. Children who have prenatally been exposed to nicotine tend to have lower birth weights, with an elevated risk of becoming overweight throughout development and into their adolescent and adult life. There are numerous theories as to how this occurs: catch-up growth theory, thrifty phenotype theory, neurotransmitter or endocrine imbalances theory, and a more recent examination on the genetic factors relating to obesity risk. In addition to the negative effect on bodyweight and BMI, individuals with obesity may also suffer from numerous comorbidities involving metabolic disease. These may include type 1 and 2 diabetes, high cholesterol levels, and liver disease. Predisposition for obesity with nicotine usage may also be associated with genetic risk alleles for obesity, such as the DRD2 A1 variant. This is important for prenatally nicotine-exposed individuals as an opportunity to provide early prevention and intervention of obesity-related risks.
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Affiliation(s)
- Olivia White
- Behavioral Neuropharmacology and Neuroimaging Laboratory on Addictions (BNNLA), Clinical Research Institute on Addictions, Department of Pharmacology and Toxicology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY 14203, USA; (O.W.); (N.R.)
- Department of Psychology, University at Buffalo, Buffalo, NY 14203, USA
| | - Nicole Roeder
- Behavioral Neuropharmacology and Neuroimaging Laboratory on Addictions (BNNLA), Clinical Research Institute on Addictions, Department of Pharmacology and Toxicology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY 14203, USA; (O.W.); (N.R.)
- Department of Psychology, University at Buffalo, Buffalo, NY 14203, USA
| | - Kenneth Blum
- Division of Addiction Research, Center for Psychiatry, Medicine & Primary Care (Office of Provost), Western University Health Sciences, Pomona, CA 91766, USA;
| | - Rina D. Eiden
- Department of Psychology, Social Science Research Institute, The Pennsylvania State University, University Park, PA 16801, USA;
| | - Panayotis K. Thanos
- Behavioral Neuropharmacology and Neuroimaging Laboratory on Addictions (BNNLA), Clinical Research Institute on Addictions, Department of Pharmacology and Toxicology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY 14203, USA; (O.W.); (N.R.)
- Department of Psychology, University at Buffalo, Buffalo, NY 14203, USA
- Correspondence: ; Tel.: +1-(716)-881-7520
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Abstract
Obesity is in theory defined on the basis of the excess health risk caused by adiposity exceeding the size normally found in the population, but for practical reasons, the World Health Organization (WHO) has defined obesity as a body mass index (weight (kg)/height (m)2) of 30 or above for adults. WHO considers the steep increases in prevalence of obesity in all age groups, especially since the 1970s as a global obesity epidemic. Today, approximately 650 million adult people and approximately 340 million children and adolescence (5-19 years) suffer from obesity. It is generally more prevalent among women and older age groups than among men and younger age groups. Beyond the necessity of availability of food, evidence about causes of obesity is still very limited. However, studies have shown that obesity 'runs in families', where both genetics and environmental, and especially social, factors play important roles. Obesity is associated with an increased risk of many adverse medical, mental and social consequences, including a strong relation to type 2 diabetes. Type 2 diabetes and related metabolic syndrome and diseases are major contributors to the excess morbidity and mortality associated with obesity.
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Abstract
Prenatal exposure to tobacco smoke remains common, through active smoking and/or passive environmental exposure, and is linked to adverse childhood outcomes. Not only have high-quality studies and meta-analyses demonstrated increased risks of prenatal as well as postnatal complications, but adverse child outcomes are well described. In utero exposure to tobacco smoke has been associated with congenital anomalies, infant and teenager overweight and obesity, and neuropsychiatric sequelae. In addition, certain childhood malignancies have been linked to paternal smoking during pregnancy. In this chapter, adverse childhood outcomes related to intrauterine exposure to electronic cigarettes and marijuana are described.
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Affiliation(s)
- Michelle C. Maciag
- Asthma & Allergy Affiliates, Salem, MA
- Boston Children’s Hospital, Division of Allergy and Immunology, Boston, MA
- Harvard Medical School, Boston, MA
| | - Aroub Yousuf
- Boston College, Division of General Pediatrics, Pediatric Environmental Health Center, Boston, MA
| | - Marissa Hauptman
- Harvard Medical School, Boston, MA
- Boston Children’s Hospital, Division of General Pediatrics, Pediatric Environmental Health Center, Boston, MA
- Region 1 New England Pediatric Environmental Health Specialty Unit, Boston, MA
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Murro I, Lisco G, Di Noia C, Lampignano L, Zupo R, Giagulli VA, Guastamacchia E, Triggiani V, De Pergola G. Endocrine Disruptors and Obesity: an Overview. Endocr Metab Immune Disord Drug Targets 2022; 22:798-806. [PMID: 35346017 DOI: 10.2174/1871530322666220328122300] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 01/03/2022] [Accepted: 01/17/2022] [Indexed: 11/22/2022]
Abstract
Obesity is a growing pandemic. Endocrine-disrupting chemicals are widespread in the environment. In this perspective, the authors examine the issue related to the exposure to several chemicals with endocrine-disrupting properties as promoting factors to obesity. Data show that Phthalates, Bisphenol compounds, Persistent Organic Pollutants (POPs), solvents, and personal care products can modify metabolic properties in a dose-response and sex-specific manner. Phthalates and bisphenol compounds increase body mass index, waist circumference, waist to height ratio, and the sum of skinfold thicknesses in women and not in men. Low-dose exposure to Persistent Organic Pollutants is strongly associated with increased body mass index in men and decreased this parameter in women. The mechanism through which these compounds act on anthropometric parameters is not entirely understood. Several studies suggest a possible interference in gonadotropin secretion and the thyroid axis. These inspire a decrease of both total and free testosterone levels in men and FT3 and FT4 levels in women, particularly after a pregnancy. The impact of endocrine disruptor chemicals on adipose tissue inflammation and future cardio-metabolic disorders remains to be elucidated. Therefore, studies involving both healthy and obese individuals are needed to unambiguously confirm results from in vitro and animal models.
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Affiliation(s)
- Isanna Murro
- Department of Biomedical Science and Human Oncology, University of Bari, School of Medicine, Policlinico, Bari, Italy
| | - Giuseppe Lisco
- Interdisciplinary Department of Medicine - Section of Internal Medicine, Geriatrics, Endocrinology and Rare Diseases. School of Medicine, University of Bari
| | - Carmen Di Noia
- Department of Biomedical Science and Human Oncology, University of Bari, School of Medicine, Policlinico, Bari, Italy
| | - Luisa Lampignano
- Population Health Unit - \'Salus in Apulia Study" National Institute of Gastroenterology \'Saverio de Bellis\', Research Hospital, Castellana Grotte, Bari, Italy
| | - Roberta Zupo
- Population Health Unit - \'Salus in Apulia Study" National Institute of Gastroenterology \'Saverio de Bellis\', Research Hospital, Castellana Grotte, Bari, Italy
| | - Vito Angelo Giagulli
- Interdisciplinary Department of Medicine - Section of Internal Medicine, Geriatrics, Endocrinology and Rare Diseases. School of Medicine, University of Bari
| | - Edoardo Guastamacchia
- Interdisciplinary Department of Medicine - Section of Internal Medicine, Geriatrics, Endocrinology and Rare Diseases. School of Medicine, University of Bari
| | - Vincenzo Triggiani
- Interdisciplinary Department of Medicine - Section of Internal Medicine, Geriatrics, Endocrinology and Rare Diseases. School of Medicine, University of Bari
| | - Giovanni De Pergola
- Department of Biomedical Science and Human Oncology, University of Bari, School of Medicine, Policlinico, Bari, Italy
- Internal Medicine and Geriatrics Unit - National Institute of Gastroenterology \'Saverio de Bellis\', Research Hospital, Castellana Grotte, Bari, Italy
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9
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Di HK, Gan Y, Lu K, Wang C, Zhu Y, Meng X, Xia WQ, Xu MZ, Feng J, Tian QF, He Y, Nie ZQ, Liu JA, Song FJ, Lu ZX. Maternal smoking status during pregnancy and low birth weight in offspring: systematic review and meta-analysis of 55 cohort studies published from 1986 to 2020. World J Pediatr 2022; 18:176-185. [PMID: 35089538 DOI: 10.1007/s12519-021-00501-5] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Accepted: 12/08/2021] [Indexed: 12/30/2022]
Abstract
BACKGROUND Maternal smoking during pregnancy may be associated with low birth weight (LBW) in offspring and global risk estimates have not been summarized previously. We aimed to systematically explore evidence regarding maternal smoking and the LBW risk in offspring globally and examine possible causes of heterogeneity across relevant studies. METHODS Comprehensive search of PubMed, Ovid Embase, Ovid Medline (R), and Web of science from inception until October 2021 was carried out. A random-effects meta-analysis was used to estimate the pooled odds ratio (OR) and corresponding 95% confidence interval (CI). Restricted cubic spline analysis with three knots was used to further examine the dose-response relationship. RESULTS Literature searches yielded 4940 articles, of which 53 met inclusion criteria (comprising 55 independent studies). Maternal smoking during pregnancy was significantly associated with the risk of LBW in offspring (OR = 1.89, 95% CI = 1.80-1.98). Furthermore, an obvious dose-response relationship between the amount of cigarettes daily smoked in pregnancy and the risk of LBW in offspring was observed. The results of subgroup analyses indicated that the risk of maternal smoking on LBW was larger in more recently conducted studies (P = 0.020) and longer period of active smoking during pregnancy (P = 0.002). No evidence of publication bias was found. CONCLUSIONS In summary, maternal smoking in pregnancy was significantly associated with a higher risk of LBW in offspring on a global scale. The risk of maternal smoking on infant LBW seems to be increasing over time, and was higher with longer smoking duration throughout pregnancy and more cigarettes smoked daily.
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Affiliation(s)
- Hong-Kun Di
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Yong Gan
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Kai Lu
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Chao Wang
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Yi Zhu
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Xin Meng
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Wen-Qi Xia
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Min-Zhi Xu
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Jing Feng
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Qing-Feng Tian
- School of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Yan He
- School of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Zhi-Qiang Nie
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Jun-An Liu
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Fu-Jian Song
- Norwich Medical School, Faculty of Medicine and Health Science, University of East Anglia, Norwich, NR47TJ, UK.
| | - Zu-Xun Lu
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan, 430030, Hubei, China.
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10
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You Y, Liu R, Zhou H, Wu R, Lin R, Li B, Liu H, Qiao Y, Guo P, Ding Z, Zhang Q. Effect of Exposure to Paternal Smoking on Overweight and Obesity in Children: Findings from the Children Lifeway Cohort in Shenzhen, Southern China. Obes Facts 2022; 15:609-620. [PMID: 35738239 PMCID: PMC9421693 DOI: 10.1159/000525544] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Accepted: 05/13/2022] [Indexed: 02/05/2023] Open
Abstract
INTRODUCTION Paternal smoking associated with childhood overweight and obesity has been a concern, but studies have not investigated smoking exposure and smoking details. We investigated the association of exposures from paternal smoking as well as smoking details on offspring overweight/obesity. METHODS A total of 4,513 children (aged 7-8 years) in Shenzhen were enrolled. Four different exposures from paternal smoking as well as smoking quantity, duration of smoking, and age of starting smoking details were the exposure variables and demographic characteristics, and circumstances of birth, dietary intake, lifestyle, and nonpaternal-smoking exposure were covariates in the logistic regression analysis to determine the effect of paternal smoking on childhood overweight/obesity, estimating odds ratios (ORs), and 95% confidence intervals (CIs). RESULTS Paternal smoking was positively associated with childhood overweight/obesity (p < 0.05). Moreover, only preconception exposure, and both pre- and postconception exposure were significantly associated with childhood overweight/obesity (OR 1.54 [95% CI: 1.14-2.08] and OR 1.73 [95% CI: 1.14-2.61], respectively), restricted to boys but not girls. Furthermore, for children with only preconception paternal-smoking exposure, the dose-response relation was positive between smoking quantity, duration of smoking, age at starting, and overweight/obesity for boy offspring (p trend <0.001). We did not find any significant association between only postnatal exposure to paternal smoking and childhood overweight/obesity (p > 0.05). CONCLUSIONS Our findings suggest that paternal smoking is associated with boys' overweight/obesity, and this association may be due to the paternal-smoking exposure before conception rather than the postnatal exposure to paternal smoking. Reducing paternal-smoking exposure before conception might help reduce overweight/obesity in boys.
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Affiliation(s)
- Yingbin You
- Baoan Central Hospital of Shenzhen, Shenzhen, China
| | - Ruiguo Liu
- Department of Preventive Medicine, Shantou University Medical College, Shantou, China
| | - Hua Zhou
- Baoan Central Hospital of Shenzhen, Shenzhen, China
| | - Rong Wu
- Department of Preventive Medicine, Shantou University Medical College, Shantou, China
| | - Rongqing Lin
- Department of Preventive Medicine, Shantou University Medical College, Shantou, China
| | - Boya Li
- Department of Preventive Medicine, Shantou University Medical College, Shantou, China
| | - Hui Liu
- Baoan Central Hospital of Shenzhen, Shenzhen, China
| | | | - Pi Guo
- Department of Preventive Medicine, Shantou University Medical College, Shantou, China
| | - Zan Ding
- Baoan Central Hospital of Shenzhen, Shenzhen, China
| | - Qingying Zhang
- Department of Preventive Medicine, Shantou University Medical College, Shantou, China
- Guangdong Provincial Key Laboratory for Breast Cancer Diagnosis and Treatment, Cancer Hospital of Shantou University Medical College, Shantou, China
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11
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Jaakkola JM, Rovio SP, Pahkala K, Viikari J, Rönnemaa T, Jula A, Niinikoski H, Mykkänen J, Juonala M, Hutri-Kähönen N, Kähönen M, Lehtimäki T, Raitakari OT. Childhood exposure to parental smoking and life-course overweight and central obesity. Ann Med 2021; 53:208-216. [PMID: 33305629 PMCID: PMC7901689 DOI: 10.1080/07853890.2020.1853215] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Accepted: 11/14/2020] [Indexed: 12/19/2022] Open
Abstract
OBJECTIVE To evaluate the association between childhood parental smoking exposure and the risk of overweight/obesity from childhood to adulthood. METHODS This study leverages the data from two longitudinal population based cohort studies, the Cardiovascular Risk in Young Finns Study between years 1980-2011/2012 (YFS; N = 2,303; baseline age 3-18 years) and the Special Turku Coronary Risk Factor Intervention Project between years 1989-2009/2010 (STRIP; N = 632; baseline age 7 months). Weight, height and waist circumference were measured from childhood to adulthood. Overweight/obesity was defined as body mass index ≥25 kg/m2 in adults and using the Cole criteria in children. Central obesity was defined as waist circumference > 100/90 cm in men/women and as a waist-to-height ratio > 0.50 in children. Statistical analyses were adjusted for age, sex, socioeconomic status, smoking, birth weight, parental ages, diet and physical activity. RESULTS Childhood parental smoking exposure was associated with increased risk for life-course overweight/obesity (YFS: RR1.13, 95%CI 1.02-1.24; STRIP: RR1.57, 95%CI 1.10-2.26) and central obesity (YFS: RR1.18, 95%CI 1.01-1.38; STRIP: RR1.45, 95%CI 0.98-2.15). CONCLUSIONS Childhood exposure to parental smoking is associated with increased risk of overweight/obesity over the life-course. KEY MESSAGES Exposure to parental smoking in childhood was associated with increased risk of overweight/obesity, central obesity and adiposity measured by skinfold thickness from childhood to adulthood.
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Affiliation(s)
- Johanna M. Jaakkola
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Suvi P. Rovio
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Katja Pahkala
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
- Paavo Nurmi Centre, Sports and Exercise Medicine Unit, Department of Health and Physical activity, University of Turku, Turku, Finland
| | - Jorma Viikari
- Department of Medicine, University of Turku, Turku, Finland
- Division of Medicine, Turku University Hospital, Turku, Finland
| | - Tapani Rönnemaa
- Department of Medicine, University of Turku, Turku, Finland
- Division of Medicine, Turku University Hospital, Turku, Finland
| | - Antti Jula
- Department of Chronic Disease Prevention, Institute for Health and Welfare, Turku, Finland
| | - Harri Niinikoski
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
- Department of Pediatrics, Turku University Hospital, Turku, Finland
| | - Juha Mykkänen
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Markus Juonala
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
- Department of Medicine, University of Turku, Turku, Finland
- Division of Medicine, Turku University Hospital, Turku, Finland
| | - Nina Hutri-Kähönen
- Department of Pediatrics, Tampere University Hospital, and Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital and Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories and Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Olli T. Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
- Department Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
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12
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Dong SS, Zhang K, Guo Y, Ding JM, Rong Y, Feng JC, Yao S, Hao RH, Jiang F, Chen JB, Wu H, Chen XF, Yang TL. Phenome-wide investigation of the causal associations between childhood BMI and adult trait outcomes: a two-sample Mendelian randomization study. Genome Med 2021; 13:48. [PMID: 33771188 PMCID: PMC8004431 DOI: 10.1186/s13073-021-00865-3] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Accepted: 03/11/2021] [Indexed: 12/28/2022] Open
Abstract
Background Childhood obesity is reported to be associated with the risk of many diseases in adulthood. However, observational studies cannot fully account for confounding factors. We aimed to systematically assess the causal associations between childhood body mass index (BMI) and various adult traits/diseases using two-sample Mendelian randomization (MR). Methods After data filtering, 263 adult traits genetically correlated with childhood BMI (P < 0.05) were subjected to MR analyses. Inverse-variance weighted, MR-Egger, weighted median, and weighted mode methods were used to estimate the causal effects. Multivariable MR analysis was performed to test whether the effects of childhood BMI on adult traits are independent from adult BMI. Results We identified potential causal effects of childhood obesity on 60 adult traits (27 disease-related traits, 27 lifestyle factors, and 6 other traits). Higher childhood BMI was associated with a reduced overall health rating (β = − 0.10, 95% CI − 0.13 to − 0.07, P = 6.26 × 10−11). Specifically, higher childhood BMI was associated with increased odds of coronary artery disease (OR = 1.09, 95% CI 1.06 to 1.11, P = 4.28 × 10−11), essential hypertension (OR = 1.12, 95% CI 1.08 to 1.16, P = 1.27 × 10−11), type 2 diabetes (OR = 1.36, 95% CI 1.30 to 1.43, P = 1.57 × 10−34), and arthrosis (OR = 1.09, 95% CI 1.06 to 1.12, P = 8.80 × 10−9). However, after accounting for adult BMI, the detrimental effects of childhood BMI on disease-related traits were no longer present (P > 0.05). For dietary habits, different from conventional understanding, we found that higher childhood BMI was associated with low calorie density food intake. However, this association might be specific to the UK Biobank population. Conclusions In summary, we provided a phenome-wide view of the effects of childhood BMI on adult traits. Multivariable MR analysis suggested that the associations between childhood BMI and increased risks of diseases in adulthood are likely attributed to individuals remaining obese in later life. Therefore, ensuring that childhood obesity does not persist into later life might be useful for reducing the detrimental effects of childhood obesity on adult diseases. Supplementary Information The online version contains supplementary material available at 10.1186/s13073-021-00865-3.
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Affiliation(s)
- Shan-Shan Dong
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, Biomedical Informatics & Genomics Center, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Kun Zhang
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, Biomedical Informatics & Genomics Center, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Yan Guo
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, Biomedical Informatics & Genomics Center, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Jing-Miao Ding
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, Biomedical Informatics & Genomics Center, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Yu Rong
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, Biomedical Informatics & Genomics Center, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Jun-Cheng Feng
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, Biomedical Informatics & Genomics Center, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Shi Yao
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, Biomedical Informatics & Genomics Center, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Ruo-Han Hao
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, Biomedical Informatics & Genomics Center, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Feng Jiang
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, Biomedical Informatics & Genomics Center, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Jia-Bin Chen
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, Biomedical Informatics & Genomics Center, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Hao Wu
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, Biomedical Informatics & Genomics Center, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Xiao-Feng Chen
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, Biomedical Informatics & Genomics Center, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Tie-Lin Yang
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, Biomedical Informatics & Genomics Center, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China. .,National and Local Joint Engineering Research Center of Biodiagnosis and Biotherapy, The Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an, 710004, China.
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13
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Philips EM, Santos S, Trasande L, Aurrekoetxea JJ, Barros H, von Berg A, Bergström A, Bird PK, Brescianini S, Ní Chaoimh C, Charles MA, Chatzi L, Chevrier C, Chrousos GP, Costet N, Criswell R, Crozier S, Eggesbø M, Fantini MP, Farchi S, Forastiere F, van Gelder MMHJ, Georgiu V, Godfrey KM, Gori D, Hanke W, Heude B, Hryhorczuk D, Iñiguez C, Inskip H, Karvonen AM, Kenny LC, Kull I, Lawlor DA, Lehmann I, Magnus P, Manios Y, Melén E, Mommers M, Morgen CS, Moschonis G, Murray D, Nohr EA, Nybo Andersen AM, Oken E, Oostvogels AJJM, Papadopoulou E, Pekkanen J, Pizzi C, Polanska K, Porta D, Richiardi L, Rifas-Shiman SL, Roeleveld N, Rusconi F, Santos AC, Sørensen TIA, Standl M, Stoltenberg C, Sunyer J, Thiering E, Thijs C, Torrent M, Vrijkotte TGM, Wright J, Zvinchuk O, Gaillard R, Jaddoe VWV. Changes in parental smoking during pregnancy and risks of adverse birth outcomes and childhood overweight in Europe and North America: An individual participant data meta-analysis of 229,000 singleton births. PLoS Med 2020; 17:e1003182. [PMID: 32810184 PMCID: PMC7433860 DOI: 10.1371/journal.pmed.1003182] [Citation(s) in RCA: 45] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/24/2019] [Accepted: 07/09/2020] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Fetal smoke exposure is a common and key avoidable risk factor for birth complications and seems to influence later risk of overweight. It is unclear whether this increased risk is also present if mothers smoke during the first trimester only or reduce the number of cigarettes during pregnancy, or when only fathers smoke. We aimed to assess the associations of parental smoking during pregnancy, specifically of quitting or reducing smoking and maternal and paternal smoking combined, with preterm birth, small size for gestational age, and childhood overweight. METHODS AND FINDINGS We performed an individual participant data meta-analysis among 229,158 families from 28 pregnancy/birth cohorts from Europe and North America. All 28 cohorts had information on maternal smoking, and 16 also had information on paternal smoking. In total, 22 cohorts were population-based, with birth years ranging from 1991 to 2015. The mothers' median age was 30.0 years, and most mothers were medium or highly educated. We used multilevel binary logistic regression models adjusted for maternal and paternal sociodemographic and lifestyle-related characteristics. Compared with nonsmoking mothers, maternal first trimester smoking only was not associated with adverse birth outcomes but was associated with a higher risk of childhood overweight (odds ratio [OR] 1.17 [95% CI 1.02-1.35], P value = 0.030). Children from mothers who continued smoking during pregnancy had higher risks of preterm birth (OR 1.08 [95% CI 1.02-1.15], P value = 0.012), small size for gestational age (OR 2.15 [95% CI 2.07-2.23], P value < 0.001), and childhood overweight (OR 1.42 [95% CI 1.35-1.48], P value < 0.001). Mothers who reduced the number of cigarettes between the first and third trimester, without quitting, still had a higher risk of small size for gestational age. However, the corresponding risk estimates were smaller than for women who continued the same amount of cigarettes throughout pregnancy (OR 1.89 [95% CI 1.52-2.34] instead of OR 2.20 [95% CI 2.02-2.42] when reducing from 5-9 to ≤4 cigarettes/day; OR 2.79 [95% CI 2.39-3.25] and OR 1.93 [95% CI 1.46-2.57] instead of OR 2.95 [95% CI 2.75-3.15] when reducing from ≥10 to 5-9 and ≤4 cigarettes/day, respectively [P values < 0.001]). Reducing the number of cigarettes during pregnancy did not affect the risks of preterm birth and childhood overweight. Among nonsmoking mothers, paternal smoking was associated with childhood overweight (OR 1.21 [95% CI 1.16-1.27], P value < 0.001) but not with adverse birth outcomes. Limitations of this study include the self-report of parental smoking information and the possibility of residual confounding. As this study only included participants from Europe and North America, results need to be carefully interpreted regarding other populations. CONCLUSIONS We observed that as compared to nonsmoking during pregnancy, quitting smoking in the first trimester is associated with the same risk of preterm birth and small size for gestational age, but with a higher risk of childhood overweight. Reducing the number of cigarettes, without quitting, has limited beneficial effects. Paternal smoking seems to be associated, independently of maternal smoking, with the risk of childhood overweight. Population strategies should focus on parental smoking prevention before or at the start, rather than during, pregnancy.
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Affiliation(s)
- Elise M Philips
- The Generation R Study Group, Erasmus University Medical Center, Rotterdam, the Netherlands.,Department of Pediatrics, Sophia Children's Hospital, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Susana Santos
- The Generation R Study Group, Erasmus University Medical Center, Rotterdam, the Netherlands.,Department of Pediatrics, Sophia Children's Hospital, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Leonardo Trasande
- Department of Pediatrics, New York University School of Medicine, New York City, New York, United States of America.,Department of Environmental Medicine, New York University School of Medicine, New York City, New York, United States of America.,Department of Population Health, New York University School of Medicine, New York City, New York, United States of America.,New York Wagner School of Public Service, New York City, New York, United States of America.,New York University College of Global Public Health, New York City, New York, United States of America
| | - Juan J Aurrekoetxea
- Subdirección de Salud Pública Gipuzkoa, San Sebastián, Spain.,Instituto de Investigación Sanitaria BIODONOSTIA, San Sebastián, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Henrique Barros
- EPIUnit-Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal.,Department of Public Health and Forensic Sciences and Medical Education, Unit of Clinical Epidemiology, Predictive Medicine and Public Health, University of Porto Medical School, Porto, Portugal
| | - Andrea von Berg
- Research Institute, Department of Pediatrics, Marien-Hospital Wesel, Wesel, Germany
| | - Anna Bergström
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.,Centre for Occupational and Environmental Medicine Stockholm County Council, Stockholm, Sweden
| | - Philippa K Bird
- Born in Bradford, Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, United Kingdom
| | - Sonia Brescianini
- Centre for Behavioural Science and Mental Health, Istituto Superiore di Sanità, Rome, Italy
| | - Carol Ní Chaoimh
- Cork Centre for Vitamin D and Nutrition Research, School of Food and Nutritional Sciences, University College Cork, Cork, Ireland.,Irish Centre for Fetal and Neonatal Translational Research, Cork University Maternity Hospital, University College Cork, Cork, Ireland
| | | | - Leda Chatzi
- Department of Preventive Medicine, University of Southern California, Los Angeles, United States of America
| | - Cécile Chevrier
- Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environment et travail)-UMR_S 1085, Rennes, France
| | - George P Chrousos
- First Department of Pediatrics, National and Kapodistrian University of Athens Medical School, Aghia Sophia Children's Hospital, Athens, Greece
| | - Nathalie Costet
- Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environment et travail)-UMR_S 1085, Rennes, France
| | - Rachel Criswell
- Department of Environmental Exposure and Epidemiology, Norwegian Institute of Public Health, Oslo, Norway.,Maine-Dartmouth Family Medicine Residency, Augusta, Maine, United States of America
| | - Sarah Crozier
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, United Kingdom
| | - Merete Eggesbø
- Department of Exposure and Environmental Epidemiology, Norwegian Institute of Public Health, Oslo, Norway
| | - Maria Pia Fantini
- The Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Sara Farchi
- Department of Epidemiology, Lazio Regional Health Service, Rome, Italy
| | | | - Marleen M H J van Gelder
- Department for Health Evidence, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, the Netherlands.,Radboud REshape Innovation Center, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Vagelis Georgiu
- Department of Social Medicine, University of Crete, Heraklion, Greece
| | - Keith M Godfrey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, United Kingdom.,NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom
| | - Davide Gori
- The Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Wojciech Hanke
- Department of Environmental Epidemiology, Nofer Institute of Occupational Medicine, Lodz, Poland
| | - Barbara Heude
- Université de Paris, CRESS, INSERM, INRA, Paris, France
| | - Daniel Hryhorczuk
- Center for Global Health, University of Illinois College of Medicine, Chicago, Illinois, United States of America
| | - Carmen Iñiguez
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Department of Statistics and Computational Research, Universitat de València, València, Spain
| | - Hazel Inskip
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, United Kingdom.,NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom
| | - Anne M Karvonen
- Department of Health Security, Finnish Institute for Health and Welfare, Kuopio, Finland
| | - Louise C Kenny
- Irish Centre for Fetal and Neonatal Translational Research, Cork University Maternity Hospital, University College Cork, Cork, Ireland.,Department of Obstetrics and Gynaecology, Cork University Maternity Hospital, Cork, Ireland
| | - Inger Kull
- Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, Stockholm, Sweden.,Sachs' Children and Youth Hospital, Stockholm, Sweden
| | - Debbie A Lawlor
- MRC Integrative Epidemiology Unit at the University of Bristol, Oakfield House, Oakfield Grove, Bristol, United Kingdom.,Population Health Science, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Irina Lehmann
- Department of Environmental Immunology/Core Facility Studies, Helmholtz Centre for Environmental Research-UFZ, Leipzig, Germany
| | - Per Magnus
- Division of Health Data and Digitalization, Norwegian Institute of Public Health, Oslo, Norway
| | - Yannis Manios
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, Athens, Greece
| | - Erik Melén
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.,Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, Stockholm, Sweden.,Sachs' Children and Youth Hospital, Stockholm, Sweden
| | - Monique Mommers
- Department of Epidemiology, Care and Public Health Research Institute, Maastricht University Maastricht, the Netherlands
| | - Camilla S Morgen
- National Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark.,Department of Public Health, Section of Epidemiology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - George Moschonis
- Department of Dietetics, Nutrition and Sport, School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, Australia
| | - Deirdre Murray
- Irish Centre for Fetal and Neonatal Translational Research, Cork University Maternity Hospital, University College Cork, Cork, Ireland.,Paediatrics & Child Health, University College Cork, Cork, Ireland
| | - Ellen A Nohr
- Research Unit for Gynaecology and Obstetrics, Institute for Clinical Research, University of Southern Denmark, Denmark
| | - Anne-Marie Nybo Andersen
- Department of Public Health, Section of Epidemiology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Emily Oken
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, Massachusetts, United States of America
| | - Adriëtte J J M Oostvogels
- Department of Public Health, Amsterdam Public Health Research Institute, Academic Medical Center, Amsterdam, the Netherlands
| | - Eleni Papadopoulou
- Department of Environmental Exposures and Epidemiology, Domain of Infection Control and Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Juha Pekkanen
- Department of Health Security, Finnish Institute for Health and Welfare, Kuopio, Finland.,Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Costanza Pizzi
- Department of Medical Sciences, University of Turin, Turin, Italy
| | - Kinga Polanska
- Department of Environmental Epidemiology, Nofer Institute of Occupational Medicine, Lodz, Poland
| | - Daniela Porta
- Department of Epidemiology, Lazio Regional Health Service, Rome, Italy
| | | | - Sheryl L Rifas-Shiman
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, Massachusetts, United States of America
| | - Nel Roeleveld
- Department for Health Evidence, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Franca Rusconi
- Unit of Epidemiology, "Anna Meyer" Children's University Hospital, Florence, Italy
| | - Ana C Santos
- EPIUnit-Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal.,Department of Public Health and Forensic Sciences and Medical Education, Unit of Clinical Epidemiology, Predictive Medicine and Public Health, University of Porto Medical School, Porto, Portugal
| | - Thorkild I A Sørensen
- Department of Public Health, Section of Epidemiology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,The Novo Nordisk Foundation Center for Basic Metabolic Research, Section on Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Marie Standl
- Institute of Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | - Camilla Stoltenberg
- Norwegian Institute of Public Health, Oslo, Norway.,Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
| | - Jordi Sunyer
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,ISGlobal, Institute for Global Health, Barcelona, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Elisabeth Thiering
- Institute of Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany.,Dr. von Hauner Children's Hospital, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Carel Thijs
- Department of Epidemiology, Care and Public Health Research Institute, Maastricht University Maastricht, the Netherlands
| | | | - Tanja G M Vrijkotte
- Department of Public Health, Amsterdam Public Health Research Institute, Academic Medical Center, Amsterdam, the Netherlands
| | - John Wright
- Bradford Institute for Health Research, Temple Bank House, Bradford Royal Infirmary, Duckworth Lane, Bradford, United Kingdom
| | - Oleksandr Zvinchuk
- Department of Medical and Social Problems of Family Health, Institute of Pediatrics, Obstetrics and Gynecology, Kyiv, Ukraine
| | - Romy Gaillard
- The Generation R Study Group, Erasmus University Medical Center, Rotterdam, the Netherlands.,Department of Pediatrics, Sophia Children's Hospital, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Vincent W V Jaddoe
- The Generation R Study Group, Erasmus University Medical Center, Rotterdam, the Netherlands.,Department of Pediatrics, Sophia Children's Hospital, Erasmus University Medical Center, Rotterdam, the Netherlands
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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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Terzioglu F, Boztepe H, Erkekoglu P, Er Korucu A, Kocer-Gumusel B, Kandemir O. The effects of amniotic fluid and foetal cord blood cotinine concentrations on pregnancy complications and the anthropometric measurements of newborns. J OBSTET GYNAECOL 2019; 39:952-958. [PMID: 31215267 DOI: 10.1080/01443615.2019.1599834] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
Our objective was determining the effects of amniotic fluid (AF) and fetal cord blood (FCB) cotinine concentrations on pregnancy complications and the anthropometric measurements in the newborns whose mothers underwent amniocentesis. This study was conducted as a case-control study, in Turkey. A total of 250 pregnant women with amniocentesis indication were recruited into the study and the cotinine levels in the AF and FCB were determined. A smoking habit did not statistically affect the incidence of pregnancy complications (p>.05). The birth weights of the newborns were negatively correlated with the AF cotinine levels. The incidences of low birth weight, low Apgar scores and RDS were positively correlated with higher levels of cotinine in AF and FCB. It is important for healthcare staff to provide training and consultancy services for the health improvement of pregnant women and the prevention of smoking during pregnancy. Impact statement What is already known on this subject? The pre-pregnancy smoking habit usually continues during the pregnancy. A significant negative correlation was present between the foetal cord blood cotinine levels and the birth weight. What do the results of this study add? The anthropometric measurements of the newborns born from mothers with high AF cotinine levels were lower than newborns born from mothers with low amniotic fluid cotinine levels. Respiratory Distress syndrome is more often determined in newborns born from mothers with high AF cotinine levels. What are the implications of these findings for clinical practice and/or further research? Future studies should be performed to investigate the effects of cigarette smoking on the health problems, the growth characteristics and the neurological development of newborns and infants within the first year of life.
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Affiliation(s)
- Fusun Terzioglu
- Department of Nursing, Faculty of Health Sciences, Atilim University , Ankara , Turkey
| | - Handan Boztepe
- Faculty of Nursing, Hacettepe University , Ankara , Turkey
| | - Pinar Erkekoglu
- Department of Toxicology, Faculty of Pharmacy, Hacettepe University , Ankara , Turkey
| | - Aslı Er Korucu
- Department of Midwifery, Faculty of Nursing, Ankara University , Ankara , Turkey
| | - Belma Kocer-Gumusel
- Department of Toxicology, Faculty of Pharmacy, Lokman Hekim University , Ankara , Turkey
| | - Omer Kandemir
- Zübeyde Hanım Etlik Woman Health and Disease, Teaching and Research Hospital , Ankara , Turkey
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16
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Dawson-Hahn EE, Rhee KE. The association between antibiotics in the first year of life and child growth trajectory. BMC Pediatr 2019; 19:23. [PMID: 30651086 PMCID: PMC6335775 DOI: 10.1186/s12887-018-1363-9] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2018] [Accepted: 12/04/2018] [Indexed: 11/20/2022] Open
Abstract
BACKGROUND Antibiotics are frequently prescribed to children, and may be an environmental influence that contributes to the increasing prevalence of childhood obesity. The aim of this study was to examine the effect of antibiotic use in the first year of life on child growth trajectories from birth to age 6 years including significant covariates. METHODS Data from 586 children in the Infant Feeding Practices II (IFPS II) and 6 year follow-up study (6YFU) were included. Antibiotic exposures, weight and height measurements were collected from birth through the first 12 months, and then again at 6 years. Linear mixed effects growth modeling, controlling for exclusive breastfeeding, socio-demographic factors, smoking during pregnancy, gestational diabetes, and maternal pre-pregnancy weight status, was used to examine the association between antibiotic exposure and child growth trajectories through age 6 years. RESULTS The majority of infants (60.58%) did not receive any antibiotics; 33.79% received 1-2 courses and 5.63% received 3 or more antibiotic courses during the first year. In the unadjusted model, children with 1-2 antibiotic exposures had a 0.17 (SE 0.08) higher rate of change in BMI z-score (BMIz) than children without any antibiotics, and children with ≥3 exposures had a 0.42 (SE 0.16) higher rate of change in BMIz (p = 0.009). Growth trajectory over time for those who had ≥3 antibiotics was greater than those without any antibiotics (p = 0.002). CONCLUSIONS Efforts to guide the judicious use of antibiotics should continue, particularly in the first year of life.
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Affiliation(s)
- Elizabeth E. Dawson-Hahn
- Department of Pediatrics, University of Washington, Seattle, WA USA
- Seattle Children’s Research Institute, Center for Child Health, Behavior and Development, M/S CW8-6, PO Box 5371, Seattle, WA 98145 USA
| | - Kyung E. Rhee
- Department of Pediatrics, UCSD School of Medicine, University of California San Diego, 9500 Gilman Drive, MC 0874, La Jolla, CA, San Diego, CA 92093 USA
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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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Brix N, Ernst A, Lauridsen LLB, Parner ET, Olsen J, Henriksen TB, Ramlau-Hansen CH. Maternal Smoking During Pregnancy and Timing of Puberty in Sons and Daughters: A Population-Based Cohort Study. Am J Epidemiol 2019; 188:47-56. [PMID: 30239589 PMCID: PMC6321801 DOI: 10.1093/aje/kwy206] [Citation(s) in RCA: 52] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2018] [Accepted: 09/05/2018] [Indexed: 12/17/2022] Open
Abstract
Because early puberty has been linked to diseases later in life, identification of modifiable causes of early puberty is of interest. We explored the possible associations between maternal smoking during pregnancy and pubertal development in sons and daughters. Between 2012 and 2017, 15,819 children from the Danish National Birth Cohort, born during 2000-2003, provided half-yearly information on puberty from the age of 11 years. We estimated adjusted age differences (in months) at attaining various pubertal milestones, including Tanner stages, per 10 daily cigarettes smoked in the first trimester of gestation. In sons, exposure to smoking in utero was associated with earlier genital development (Tanner 2, -1.3 months, 95% confidence interval (CI): -2.5, 0.0; Tanner 5, -3.7 months, 95% CI: -5.3, -2.0), pubic hair development (Tanner 2, -1.8 months, 95% CI: -2.9, -0.6; Tanner 5, -2.9 months, 95% CI: -4.2, -1.7), and voice break (-2.4 months, 95% CI: -3.6, -1.3). In daughters, maternal smoking was associated with earlier breast development (Tanner 2, -3.4 months, 95% CI: -5.3, -1.5; Tanner 5, -4.7 months, 95% CI: -6.5, -2.9), pubic hair development stages 3-5 (Tanner 5, -2.5 months, 95% CI: -4.1, -1.0), and menarche (-3.1 months, 95% CI: -4.0, -2.3). Fetal exposure to tobacco smoke might advance timing of puberty in boys and girls.
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Affiliation(s)
- Nis Brix
- Department of Public Health, Section for Epidemiology, Aarhus University, Aarhus, Denmark
| | - Andreas Ernst
- Department of Public Health, Section for Epidemiology, Aarhus University, Aarhus, Denmark
| | - Lea L B Lauridsen
- Department of Public Health, Section for Epidemiology, Aarhus University, Aarhus, Denmark
| | - Erik T Parner
- Department of Public Health, Section for Biostatistics, Aarhus University, Aarhus, Denmark
| | - Jørn Olsen
- Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark
- Department of Epidemiology, Fielding School of Public Health, University of California Los Angeles, Los Angeles, California
| | - Tine B Henriksen
- Department of Pediatrics, Perinatal Epidemiology Research Unit, Aarhus University Hospital, Aarhus, Denmark
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19
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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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20
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Chatzi L, Ierodiakonou D, Margetaki K, Vafeiadi M, Chalkiadaki G, Roumeliotaki T, Fthenou E, Pentheroudaki E, McConnell R, Kogevinas M, Kippler M. Associations of Prenatal Exposure to Cadmium With Child Growth, Obesity, and Cardiometabolic Traits. Am J Epidemiol 2019; 188:141-150. [PMID: 30252047 DOI: 10.1093/aje/kwy216] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2017] [Accepted: 09/14/2018] [Indexed: 12/18/2022] Open
Abstract
Prenatal cadmium exposure has been associated with impaired fetal growth; much less is known about the impact during later childhood on growth and cardiometabolic traits. To elucidate the associations of prenatal cadmium exposure with child growth, adiposity, and cardiometabolic traits in 515 mother-child pairs in the Rhea Mother-Child Study cohort (Heraklion, Greece, 2007-2012), we measured urinary cadmium concentrations during early pregnancy and assessed their associations with repeated weight and height measurements (taken from birth through childhood), waist circumference, skinfold thickness, blood pressure, and serum lipid, leptin, and C-reactive protein levels at age 4 years. Adjusted linear, Poisson, and mixed-effects regression models were used, with interaction terms for child sex and maternal smoking added. Elevated prenatal cadmium levels (third tertile of urinary cadmium concentration (0.571-2.658 μg/L) vs. first (0.058-0.314 μg/L) and second (0.315-0.570 μg/L) tertiles combined) were significantly associated with a slower weight trajectory (per standard deviation score) in all children (β = -0.17, 95% confidence interval (CI): -0.32, -0.02) and a slower height trajectory in girls (β = -0.30, 95% CI: -0.52,-0.09; P for interaction = 0.025) and in children born to mothers who smoked during pregnancy (β = -0.48, 95% CI: -0.83, -1.13; P for interaction = 0.027). We concluded that prenatal cadmium exposure was associated with delayed growth in early childhood. Further research is needed to understand cadmium-related sex differences and the role of coexposure to maternal smoking during early pregnancy.
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Affiliation(s)
- Leda Chatzi
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece
- Division of Environmental Health, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
- Department of Genetics and Cell Biology, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands
| | - Despo Ierodiakonou
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece
| | - Katerina Margetaki
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece
| | - Marina Vafeiadi
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece
| | - Georgia Chalkiadaki
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece
| | - Theano Roumeliotaki
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece
| | - Eleni Fthenou
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece
| | - Eirini Pentheroudaki
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece
| | - Rob McConnell
- Division of Environmental Health, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Manolis Kogevinas
- ISGlobal, Centre for Research in Environmental Epidemiology
- Hospital del Mar Research Institute
- Consorcio Centro de Investigación Biomédica en Red Epidemiología y Salud Pública
| | - Maria Kippler
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
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21
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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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22
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Albers L, von Kries R, Sobotzki C, Gao HJ, Buka SL, Clifton VL, Grzeskowiak LE, Oken E, Paus T, Pausova Z, Rifas-Shiman SL, Sharma AJ, Gilman SE. Differences in maternal smoking across successive pregnancies - dose-dependent relation to BMI z-score in the offspring: an individual patient data (IPD) meta-analysis. Obes Rev 2018; 19:1248-1255. [PMID: 30035359 PMCID: PMC6107372 DOI: 10.1111/obr.12698] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2018] [Revised: 03/19/2018] [Accepted: 03/20/2018] [Indexed: 12/17/2022]
Abstract
INTRODUCTION Uncontrolled family factors may bias the estimation of the association between maternal smoking during pregnancy and offspring body mass index (BMI). The objective was to assess if there is an association between maternal smoking during pregnancy and offspring BMI z-score independent of factors in the siblings' shared environment and if such association is linear. METHODS We performed an individual patient data meta-analysis using five studies providing sibling data (45,299 children from 14,231 families). In a multi-level model, separating within-family and between-family effects and with random intercept for families, we analysed the dose-response association between maternal number of cigarettes per day during pregnancy and offspring's BMI z-score using B-splines to allow for non-linear associations. RESULTS A linear within-family effect for number of cigarettes smoked in the range from 1 to 30 cigarettes per day on the offspring's BMI z-score was observed. Each additional cigarette per day between sibling pregnancies resulted in an increase in BMI z-score of 0.007 (95% CI [0.006, 0.009]). A between family-effect emerged only with doses ≥25 cigarettes per day. CONCLUSIONS The number of cigarettes mothers smoke per day during pregnancy is positively associated with offspring BMI z-score even among siblings, suggesting that the association is not entirely explained by confounding by family factors.
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Affiliation(s)
- L Albers
- Institute of Social Paediatrics and Adolescents Medicine, Division of Epidemiology, Ludwig-Maximilians-University Munich, Munich, Germany
| | - R von Kries
- Institute of Social Paediatrics and Adolescents Medicine, Division of Epidemiology, Ludwig-Maximilians-University Munich, Munich, Germany
| | - C Sobotzki
- Institute of Social Paediatrics and Adolescents Medicine, Division of Epidemiology, Ludwig-Maximilians-University Munich, Munich, Germany
| | - H J Gao
- Institute of Social Paediatrics and Adolescents Medicine, Division of Epidemiology, Ludwig-Maximilians-University Munich, Munich, Germany
| | - S L Buka
- Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA
| | - V L Clifton
- Adelaide Medical School, The Robinson Research Institute, The University of Adelaide, Adelaide, SA, Australia
| | - L E Grzeskowiak
- Adelaide Medical School, The Robinson Research Institute, The University of Adelaide, Adelaide, SA, Australia
| | - E Oken
- Obesity Prevention Program, Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - T Paus
- Rotman Research Institute and Departments of Psychology and Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Z Pausova
- Hospital for Sick Children and Departments of Physiology and Nutritional Sciences, University of Toronto, Toronto, ON, Canada
| | - S L Rifas-Shiman
- Obesity Prevention Program, Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - A J Sharma
- Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - S E Gilman
- Health Behavior Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD, USA.,Department of Social and Behavioral Sciences, Harvard TH Chan School of Public Health, Boston, MA, USA.,Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA.,Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
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23
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Population DNA methylation studies in the Developmental Origins of Health and Disease (DOHaD) framework. J Dev Orig Health Dis 2018; 10:306-313. [PMID: 30101736 DOI: 10.1017/s2040174418000442] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Epigenetic changes represent a potential mechanism underlying associations of early-life exposures and later life health outcomes. Population-based cohort studies starting in early life are an attractive framework to study the role of such changes. DNA methylation is the most studied epigenetic mechanism in population research. We discuss the application of DNA methylation in early-life population studies, some recent findings, key challenges and recommendations for future research. Studies into DNA methylation within the Developmental Origins of Health and Disease framework generally either explore associations between prenatal exposures and offspring DNA methylation or associations between offspring DNA methylation in early life and later health outcomes. Only a few studies to date have integrated prospective exposure, epigenetic and phenotypic data in order to explicitly test the role of DNA methylation as a potential biological mediator of environmental effects on health outcomes. Population epigenetics is an emerging field which has challenges in terms of methodology and interpretation of the data. Key challenges include tissue specificity, cell type adjustment, issues of power and comparability of findings, genetic influences, and exploring causality and functional consequences. Ongoing studies are working on addressing these issues. Large collaborative efforts of prospective cohorts are emerging, with clear benefits in terms of optimizing power and use of resources, and in advancing methodology. In the future, multidisciplinary approaches, within and beyond longitudinal birth and preconception cohorts will advance this complex, but highly promising, the field of research.
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24
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Valerio G, Maffeis C, Saggese G, Ambruzzi MA, Balsamo A, Bellone S, Bergamini M, Bernasconi S, Bona G, Calcaterra V, Canali T, Caroli M, Chiarelli F, Corciulo N, Crinò A, Di Bonito P, Di Pietrantonio V, Di Pietro M, Di Sessa A, Diamanti A, Doria M, Fintini D, Franceschi R, Franzese A, Giussani M, Grugni G, Iafusco D, Iughetti L, Lamborghini A, Licenziati MR, Limauro R, Maltoni G, Manco M, Reggiani LM, Marcovecchio L, Marsciani A, del Giudice EM, Morandi A, Morino G, Moro B, Nobili V, Perrone L, Picca M, Pietrobelli A, Privitera F, Purromuto S, Ragusa L, Ricotti R, Santamaria F, Sartori C, Stilli S, Street ME, Tanas R, Trifiró G, Umano GR, Vania A, Verduci E, Zito E. Diagnosis, treatment and prevention of pediatric obesity: consensus position statement of the Italian Society for Pediatric Endocrinology and Diabetology and the Italian Society of Pediatrics. Ital J Pediatr 2018; 44:88. [PMID: 30064525 PMCID: PMC6069785 DOI: 10.1186/s13052-018-0525-6] [Citation(s) in RCA: 125] [Impact Index Per Article: 20.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2018] [Accepted: 06/07/2018] [Indexed: 01/06/2023] Open
Abstract
The Italian Consensus Position Statement on Diagnosis, Treatment and Prevention of Obesity in Children and Adolescents integrates and updates the previous guidelines to deliver an evidence based approach to the disease. The following areas were reviewed: (1) obesity definition and causes of secondary obesity; (2) physical and psychosocial comorbidities; (3) treatment and care settings; (4) prevention.The main novelties deriving from the Italian experience lie in the definition, screening of the cardiometabolic and hepatic risk factors and the endorsement of a staged approach to treatment. The evidence based efficacy of behavioral intervention versus pharmacological or surgical treatments is reported. Lastly, the prevention by promoting healthful diet, physical activity, sleep pattern, and environment is strongly recommended since the intrauterine phase.
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Affiliation(s)
- Giuliana Valerio
- Department of Movement Sciences and Wellbeing, University of Naples Parthenope, via Medina 40, 80133 Naples, Italy
| | - Claudio Maffeis
- Pediatric Diabetes and Metabolic Disorders Unit, University of Verona, Verona, Italy
| | - Giuseppe Saggese
- Department of Pediatrics, University Hospital of Pisa, Pisa, Italy
| | | | - Antonio Balsamo
- Department of Medical and Surgical Sciences, University Hospital S.Orsola-Malpighi, Bologna, Italy
| | - Simonetta Bellone
- Department of Health Sciences, University of Piemonte Orientale, Novara, Italy
| | | | - Sergio Bernasconi
- Italian Society for Pediatric Endocrinology and Diabetology (SIEDP), Parma, Italy
| | - Gianni Bona
- Department of Health Sciences, University of Piemonte Orientale, Novara, Italy
| | - Valeria Calcaterra
- Pediatrics Unit, University of Pavia and Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
| | | | - Margherita Caroli
- Italian Society for Obesity (SIO), Francavilla Fontana (Brindisi), Italy
| | | | - Nicola Corciulo
- Pediatric Unit, Hospital of Gallipoli, Gallipoli (Lecce), Italy
| | - Antonino Crinò
- Autoimmune Endocrine Diseases Unit, Bambino Gesù Children Hospital, IRCCS, Rome, Italy
| | - Procolo Di Bonito
- Department of Internal Medicine, “S. Maria delle Grazie”, Pozzuoli Hospital, Naples, Italy
| | | | - Mario Di Pietro
- Pediatric and Neonatal Unit, “G. Mazzini”Hospital, Teramo, Italy
| | - Anna Di Sessa
- Department of Woman, Child and General and Specialized Surgery, University of Campania “Luigi Vanvitelli”, Naples, Italy
| | - Antonella Diamanti
- Artificial Nutrition Unit Bambino Gesù, Children’s Hospital, IRCCS, Rome, Italy
| | - Mattia Doria
- Italian Federation of Pediatricians (FIMP), Venice, Italy
| | - Danilo Fintini
- Endocrinology and Diabetology Unit Bambino Gesù Children Hospital, IRCCS, Rome, Italy
| | | | - Adriana Franzese
- Department of Translational Medical Science, Regional Center for Pediatric Diabetes, University Federico II of Naples, Naples, Italy
| | | | - Graziano Grugni
- Division of Auxology, Istituto Auxologico Italiano, IRCCS, Verbania, Italy
| | - Dario Iafusco
- Department of Woman, Child and General and Specialized Surgery, University of Campania “Luigi Vanvitelli”, Naples, Italy
| | - Lorenzo Iughetti
- Pediatric Unit, University of Modena and Reggio Emilia, Modena, Italy
| | | | | | | | - Giulio Maltoni
- Department of Medical and Surgical Sciences, University Hospital S.Orsola-Malpighi, Bologna, Italy
| | - Melania Manco
- Research Area for Multifactorial Diseases, Children’s Hospital Bambino Gesù, Rome, Italy
| | | | | | | | - Emanuele Miraglia del Giudice
- Department of Woman, Child and General and Specialized Surgery, University of Campania “Luigi Vanvitelli”, Naples, Italy
| | - Anita Morandi
- Pediatric Diabetes and Metabolic Disorders Unit, University Hospital of Verona, Verona, Italy
| | - Giuseppe Morino
- Nutrition Unit, Bambino Gesù Children’s Hospital IRCCS, Rome, Italy
| | | | - Valerio Nobili
- Department of Pediatrics and Infantile Neuropsychiatry, Sapienza University of Rome, Rome, Italy
- Hepatometabolic Unit, Bambino Gesù Children’s Hospital, IRCSS, Rome, Italy
| | - Laura Perrone
- Department of Woman, Child and General and Specialized Surgery, University of Campania “Luigi Vanvitelli”, Naples, Italy
| | | | | | | | | | | | - Roberta Ricotti
- Department of Health Sciences, University of Piemonte Orientale, Novara, Italy
| | - Francesca Santamaria
- Department of Translational Medical Science, Regional Center for Pediatric Diabetes, University Federico II of Naples, Naples, Italy
| | - Chiara Sartori
- Department of Obstetrics, Gynaecology and Paediatrics, Arcispedale S.Maria Nuova-IRCCS, Reggio Emilia, Italy
| | | | - Maria Elisabeth Street
- Department of Obstetrics, Gynaecology and Paediatrics, Arcispedale S.Maria Nuova-IRCCS, Reggio Emilia, Italy
| | - Rita Tanas
- Italian Society for Pediatric Endocrinology and Diabetology (SIEDP), Ferrara, Italy
| | | | - Giuseppina Rosaria Umano
- Department of Woman, Child and General and Specialized Surgery, University of Campania “Luigi Vanvitelli”, Naples, Italy
| | - Andrea Vania
- Department of Pediatrics and Infantile Neuropsychiatry, Sapienza University of Rome, Rome, Italy
| | - Elvira Verduci
- Deparment of Pediatrics, San Paolo Hospital, University of Milan, Milan, Italy
| | - Eugenio Zito
- Department of Social Sciences, University of Naples Federico II, Naples, Italy
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Benjamin Neelon SE, Morgen CS, Kamper-Jørgensen M, Oken E, Gillman MW, Gallis JA, Sørensen TIA. Childcare before age 6 and body mass index at age 7 years in a cohort of Danish children. Pediatr Obes 2018; 13:307-311. [PMID: 28299907 PMCID: PMC5599321 DOI: 10.1111/ijpo.12206] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2016] [Accepted: 11/30/2016] [Indexed: 12/26/2022]
Abstract
BACKGROUND Previous studies show inconsistent associations between childcare and obesity. AIMS Our prior work demonstrated that childcare in infancy was associated with higher weight in a cohort of Danish children. Here, we extend this work and examine childcare through 6 years and body mass index (BMI) at age 7 years. MATERIALS AND METHODS We examined 24 714 children in the Danish National Birth Cohort who were also in the Childcare Database. We conducted multivariable linear regressions examining children prior to age 6, overall and by type (daycare, crèche, age-integrated and kindergarten), and BMI z-score at 7 years, stratifying on maternal socio-occupational status. RESULTS A total of 19 760 (80.0%) children attended childcare before age 6. Childcare prior to age 6 was associated with BMI z-score at 7 years (0.004 units per each additional 6 months of care; 95% CI: 0.001, 0.008; p = 0.01). Childcare in a kindergarten was the only type of care associated with BMI (0.009 units; 95% CI: 0.003, 0.02; p = 0.01). For children of higher socio-occupational status mothers, childcare was associated with a 0.008 unit increase in BMI (95% CI: 0.004, 0.01; p > 0.001). CONCLUSIONS Childcare was weakly associated with later BMI. This relationship was more pronounced in children from higher socio-occupational status mothers and children in kindergarten care.
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Affiliation(s)
- Sara E Benjamin Neelon
- Department of Health, Behavior and Society, Johns Hopkins University, 624 N Broadway, Baltimore, Maryland, 21205, USA
| | - Camilla Schmidt Morgen
- Institute of Preventive Medicine, Bispebjerg and Frederiksberg Hospital, Nordre fasanvej 57, Hovedvejen 5, Copenhagen, Denmark
| | - Mads Kamper-Jørgensen
- Department of Public Health, Section of Social Medicine, University of Copenhagen, CSS, Øster Farimagsgade 5, Postbox 2099, DK-1014 Copenhagen, Denmark
| | - Emily Oken
- Obesity Prevention Program, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, 401 Park Drive, Suite 401, Boston, Massachusetts, 02215, USA
| | - Matthew W Gillman
- Environmental influences on Child Health Outcomes (ECHO) Program, National Institutes of Health, 6011 Executive Blvd, Rockville, MD, 20852, USA
| | - John A Gallis
- Department of Biostatistics and Bioinformatics, Duke University Medical Center, 2424 Erwin Road, Suite 1102 Hock Plaza, Box 2721, Durham, North Carolina, 27710, USA
| | - Thorkild IA Sørensen
- Institute of Preventive Medicine, Bispebjerg and Frederiksberg Hospital, Nordre fasanvej 57, Hovedvejen 5, Copenhagen, Denmark,Novo Nordisk Foundation Center for Basic Metabolic Research and Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark,MRC Integrative Epidemiology Unit, Bristol University, Oakfield Grove Bristol, Bristol, UK BS8 2BN
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26
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Smoking habit from the paternal line and grand-child's overweight or obesity status in early childhood: prospective findings from the lifeways cross-generation cohort study. Int J Obes (Lond) 2018. [PMID: 29535453 DOI: 10.1038/s41366-018-0039-8] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
BACKGROUND/OBJECTIVES The role of smoking from the paternal line during the pre-conception period on grand-child's overweight/obesity and associated underlying pathways are uncertain. We examined whether the smoking status from the paternal line was associated with the grand-child's higher weight at birth, and overweight or obesity at 5 and 9 years of age. The grandparental smoking effect from the maternal line was also explored. SUBJECTS/METHODS Participants were fathers and grandparents and grand-children from the Lifeways Cross Generational Cohort (N = 1021 for the analysis at birth; N = 562 and N = 284 for the analysis at 5 and 9 years, respectively). Paternal and grandparental smoking was defined as smoking versus non-smoking. Children's weight categories compared were high versus normal weight at birth, and overweight/obesity versus normal weight (based on BMI and waist circumference) at age of five and nine years. Logistic regression models were used to estimate the crude and adjusted associations. RESULTS After adjustment for several child and parental factors, at age five there was an association between paternal smoking and offspring's overweight/obesity based on BMI (Adjusted Odds Ratio (AOR), and 95%CI: 1.76, 1.14-2.71, p-value: 0.010), most marked for boys (AOR: 2.05, 1.06-3.96, p-value: 0.032). These associations remained when confined to the children sample with biological fathers only (overall sample, AOR: 1.92, 1.22-3.02, p-value: 0.005; son, AOR: 2.09, 1.06-4.11, p-value: 0.033). At age 9, the paternal grandmothers' smoking was positively associated with their grandchild's overweight/obesity status based on waist circumference (AOR: 3.29, 1.29-8.37), and especially with that of her granddaughter (AOR: 3.44, 1.11-10.69). These associations remained when analysing only the children sample with biological fathers (overall sample, AOR: 3.22,1.25-8.29, p-value: 0.016; granddaughter, AOR: 3.55, 1.13-11.15, p-value: 0.030). CONCLUSION The smoking habit from the paternal line is associated with grand-children's adiposity measures during their early childhood, which might be epigenetically transmitted through male-germline cells.
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27
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Albers L, Sobotzki C, Kuß O, Ajslev T, Batista RF, Bettiol H, Brabin B, Buka SL, Cardoso VC, Clifton VL, Devereux G, Gilman SE, Grzeskowiak LE, Heinrich J, Hummel S, Jacobsen GW, Jones G, Koshy G, Morgen CS, Oken E, Paus T, Pausova Z, Rifas-Shiman SL, Sharma AJ, da Silva AA, Sørensen TI, Thiering E, Turner S, Vik T, von Kries R. Maternal smoking during pregnancy and offspring overweight: is there a dose-response relationship? An individual patient data meta-analysis. Int J Obes (Lond) 2018; 42:1249-1264. [PMID: 29717267 DOI: 10.1038/s41366-018-0050-0] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2017] [Revised: 11/13/2017] [Accepted: 12/27/2017] [Indexed: 12/17/2022]
Abstract
BACKGROUND/OBJECTIVES A number of meta-analyses suggest an association between any maternal smoking in pregnancy and offspring overweight obesity. Whether there is a dose-response relationship across number of cigarettes and whether this differs by sex remains unclear. SUBJECT/METHODS Studies reporting number of cigarettes smoked during pregnancy and offspring BMI published up to May 2015 were searched. An individual patient data meta-analysis of association between the number of cigarettes smoked during pregnancy and offspring overweight (defined according to the International Obesity Task Force reference) was computed using a generalized additive mixed model with non-linear effects and adjustment for confounders (maternal weight status, breastfeeding, and maternal education) and stratification for sex. RESULTS Of 26 identified studies, 16 authors provided data on a total of 238,340 mother-child-pairs. A linear positive association was observed between the number of cigarettes smoked and offspring overweight for up to 15 cigarettes per day with an OR increase per cigarette of 1.03, 95% CI = [1.02-1.03]. The OR flattened with higher cigarette use. Associations were similar in males and females. Sensitivity analyses supported these results. CONCLUSIONS A linear dose-response relationship of maternal smoking was observed in the range of 1-15 cigarettes per day equally in boys and girls with no further risk increase for doses above 15 cigarettes.
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Affiliation(s)
- Lucia Albers
- Division of Epidemiology, Institute of Social Paediatrics and Adolescents Medicine, Ludwig-Maximilians-University Munich, Munich, Germany.
| | - Christina Sobotzki
- Division of Epidemiology, Institute of Social Paediatrics and Adolescents Medicine, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Oliver Kuß
- German Diabetes Center, Institute of Biometrics and Epidemiology, Düsseldorf, 40225, Germany
| | - Teresa Ajslev
- Department of Clinical Epidemiology (formerly Institute of Preventive Medicine), Bispebjerg and Frederiksberg Hospitals, The Capital Region, Denmark
| | - Rosangela Fl Batista
- Departamento de Saúde Pública, Universidade Federal do Maranhão, São Luís, MA, Brazil
| | - Heloisa Bettiol
- Departamento de Puericultura e Pediatria, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, São Paulo, Brazil
| | - Bernard Brabin
- Child and Reproductive Health Group, Liverpool School of Tropical Medicine, Liverpool, UK.,Department of Community Child Health,Royal Liverpool Children's Hospital, NHS Trust Alder Hey, Liverpool, UK.,Emma Kinderziekenhuis, Academic Medical Centre, University of Amsterdam, Amsterdam, The Netherlands
| | - Stephen L Buka
- Department of Epidemiology, Brown University School of Public Health, Providence, Rhode Island, USA
| | - Viviane C Cardoso
- Departamento de Puericultura e Pediatria, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, São Paulo, Brazil
| | - Vicki L Clifton
- Adelaide Medical School, The Robinson Research Institute, The University of Adelaide, Adelaide, South Australia, Australia
| | | | - Stephen E Gilman
- Health Behavior Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD, USA.,Department of Social and Behavioral Sciences, Harvard TH Chan School of Public Health, Boston, MA, USA.,Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA.,Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Luke E Grzeskowiak
- Adelaide Medical School, The Robinson Research Institute, The University of Adelaide, Adelaide, South Australia, Australia
| | - Joachim Heinrich
- Institute of Occupational, Social, and Environmental Medicine, University Hospital, Helmholtz Zentrum München, German Research Center for Environmental Health, Institute of Occupational, Social, and Environmental Medicine, University Hospital, Neuherberg, Germany
| | - Sandra Hummel
- Forschergruppe Diabetes der Technischen Universität München, Munich, Germany.,Institut für Diabetesforschung der Forschergruppe Diabetes e.V. am Helmholtz Zentrum München, Munich, Germany
| | - Geir W Jacobsen
- Department of Public Health and General Practice, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
| | - Graeme Jones
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Gibby Koshy
- Child and Reproductive Health Group, Liverpool School of Tropical Medicine, Liverpool, UK
| | - Camilla Schmidt Morgen
- Department of Clinical Epidemiology (formerly Institute of Preventive Medicine), Bispebjerg and Frederiksberg Hospitals, The Capital Region, Denmark
| | - Emily Oken
- Obesity Prevention Program, Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Tomas Paus
- Rotman Research Institute and Departments of Psychology and Psychiatry, University of Toronto, Toronto, Canada
| | - Zdenka Pausova
- Hospital for Sick Children and Departments of Physiology and Nutritional Sciences, University of Toronto, Toronto, Canada
| | - Sheryl L Rifas-Shiman
- Obesity Prevention Program, Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | | | - Antônio Am da Silva
- Departamento de Saúde Pública, Universidade Federal do Maranhão, São Luís, MA, Brazil
| | - Thorkild Ia Sørensen
- Department of Clinical Epidemiology (formerly Institute of Preventive Medicine), Bispebjerg and Frederiksberg Hospitals, The Capital Region, Denmark.,Novo Nordisk Foundation Centre for Basic Metabolic Research, and Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Elisabeth Thiering
- Helmholtz Zentrum München, German Research Center for Environmental Health, Institute of Epidemiology I, Neuherberg, Germany
| | | | - Torstein Vik
- Department of Laboratory Medicine, Children and Women's Health, Norwegian University of Science and Technology, Trondheim, Norway
| | - Rüdiger von Kries
- Division of Epidemiology, Institute of Social Paediatrics and Adolescents Medicine, Ludwig-Maximilians-University Munich, Munich, Germany
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28
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Felix JF, Joubert BR, Baccarelli AA, Sharp GC, Almqvist C, Annesi-Maesano I, Arshad H, Baïz N, Bakermans-Kranenburg MJ, Bakulski KM, Binder EB, Bouchard L, Breton CV, Brunekreef B, Brunst KJ, Burchard EG, Bustamante M, Chatzi L, Cheng Munthe-Kaas M, Corpeleijn E, Czamara D, Dabelea D, Davey Smith G, De Boever P, Duijts L, Dwyer T, Eng C, Eskenazi B, Everson TM, Falahi F, Fallin MD, Farchi S, Fernandez MF, Gao L, Gaunt TR, Ghantous A, Gillman MW, Gonseth S, Grote V, Gruzieva O, Håberg SE, Herceg Z, Hivert MF, Holland N, Holloway JW, Hoyo C, Hu D, Huang RC, Huen K, Järvelin MR, Jima DD, Just AC, Karagas MR, Karlsson R, Karmaus W, Kechris KJ, Kere J, Kogevinas M, Koletzko B, Koppelman GH, Küpers LK, Ladd-Acosta C, Lahti J, Lambrechts N, Langie SAS, Lie RT, Liu AH, Magnus MC, Magnus P, Maguire RL, Marsit CJ, McArdle W, Melén E, Melton P, Murphy SK, Nawrot TS, Nisticò L, Nohr EA, Nordlund B, Nystad W, Oh SS, Oken E, Page CM, Perron P, Pershagen G, Pizzi C, Plusquin M, Raikkonen K, Reese SE, Reischl E, Richiardi L, Ring S, Roy RP, Rzehak P, Schoeters G, Schwartz DA, Sebert S, Snieder H, Sørensen TIA, Starling AP, Sunyer J, Taylor JA, Tiemeier H, Ullemar V, Vafeiadi M, Van Ijzendoorn MH, Vonk JM, Vriens A, Vrijheid M, Wang P, Wiemels JL, Wilcox AJ, Wright RJ, Xu CJ, Xu Z, Yang IV, Yousefi P, Zhang H, Zhang W, Zhao S, Agha G, Relton CL, Jaddoe VWV, London SJ. Cohort Profile: Pregnancy And Childhood Epigenetics (PACE) Consortium. Int J Epidemiol 2018; 47:22-23u. [PMID: 29025028 PMCID: PMC5837319 DOI: 10.1093/ije/dyx190] [Citation(s) in RCA: 88] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/24/2017] [Indexed: 12/21/2022] Open
Affiliation(s)
- Janine F Felix
- Department of Epidemiology, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Generation R Study Group Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Bonnie R Joubert
- National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, USA
| | - Andrea A Baccarelli
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Gemma C Sharp
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- School of Oral and Dental Sciences, University of Bristol, Bristol, UK
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Catarina Almqvist
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Pediatric Allergy and Pulmonology Unit at Astrid Lindgren Children’s Hospital, Karolinska University Hospital, Stockholm, Sweden
| | - Isabella Annesi-Maesano
- Sorbonne Universités, UPMC Univ Paris 06, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique (IPLESP UMRS 1136), Epidemiology of Allergic and Respiratory diseases department (EPAR), Medical School Saint-Antoine, Paris, France
| | - Hasan Arshad
- Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Nour Baïz
- Sorbonne Universités, UPMC Univ Paris 06, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique (IPLESP UMRS 1136), Epidemiology of Allergic and Respiratory diseases department (EPAR), Medical School Saint-Antoine, Paris, France
| | | | - Kelly M Bakulski
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, USA
| | - Elisabeth B Binder
- Department Translational Research in Psychiatry, Max-Planck-Institute of Psychiatry, Munich, Germany
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Luigi Bouchard
- Department of Biochemistry, Université de Sherbrooke, Sherbrooke, QC, Canada
- ECOGENE-21 and Lipid Clinic, Chicoutimi Hospital, Saguenay, QC, Canada
| | - Carrie V Breton
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, USA
| | - Bert Brunekreef
- Institute for Risk Assessment Sciences, Universiteit Utrecht, Utrecht, The Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Kelly J Brunst
- Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Environmental Health, University of Cincinnati, Cincinnati, OH, USA
| | - Esteban G Burchard
- Department of Medicine, University of California, San Francisco, CA, USA
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA, USA
| | - Mariona Bustamante
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Genomics and Disease Group, Bioinformatics and Genomics Program, Centre for Genomic Regulation (CRG), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Leda Chatzi
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, USA
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece
| | - Monica Cheng Munthe-Kaas
- Department of Pediatric and Adolescent Medicine, Oslo University Hospital, Oslo, Norway
- Norwegian Institute of Public Health, Oslo, Norway
| | - Eva Corpeleijn
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Darina Czamara
- Department Translational Research in Psychiatry, Max-Planck-Institute of Psychiatry, Munich, Germany
| | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Life Course Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - George Davey Smith
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Patrick De Boever
- Environmental Risk and Health Unit, Flemish Institute for Technological Research (VITO), Mol, Belgium
- Faculty of Sciences, Hasselt University, Diepenbeek, Belgium
| | - Liesbeth Duijts
- Department of Epidemiology, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Generation R Study Group Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Terence Dwyer
- The George Institute for Global Health, Nuffield Department of Obstetrics & Gynaecology, University of Oxford, Oxford, United Kingdom
| | - Celeste Eng
- Department of Medicine, University of California, San Francisco, CA, USA
| | - Brenda Eskenazi
- Center for Environmental Research on Children's Health, University of California, Berkeley, CA, USA
| | - Todd M Everson
- Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, USA
| | - Fahimeh Falahi
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - M Daniele Fallin
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, USA
- Wendy Klag Center for Autism and Developmental Disabilities, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, USA
| | - Sara Farchi
- Department of Epidemiology, Regional Health Service, Lazio Region, Rome, Italy
| | - Mariana F Fernandez
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
- Instituto de Investigación Biosanitaria ibs. GRANADA, University of Granada, San Cecilio University Hospital, Granada, Spain
| | - Lu Gao
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, USA
| | - Tom R Gaunt
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Akram Ghantous
- Epigenetics Group, International Agency for Research on Cancer, Lyon, France
| | - Matthew W Gillman
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Semira Gonseth
- University of California, Berkeley, School of Public Health, Berkeley, USA
| | - Veit Grote
- Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children’s Hospital, Ludwig-Maximilians Universität München (LMU), Munich, Germany
| | - Olena Gruzieva
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | | | - Zdenko Herceg
- Epigenetics Group, International Agency for Research on Cancer, Lyon, France
| | - Marie-France Hivert
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, USA
- Department of Medicine, Université de Sherbrooke, Sherbrooke, QC, Canada
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Nina Holland
- Center for Environmental Research on Children's Health, University of California, Berkeley, CA, USA
- Environmental Health Sciences Division, School of Public Health, University of California, Berkeley, CA, USA
| | - John W Holloway
- Human Development & Health, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Cathrine Hoyo
- Department of Biological Sciences, North Carolina State University, Raleigh, NC, USA
- Center for Human Health and the Environment, North Carolina State University, Raleigh, NC, USA
| | - Donglei Hu
- Department of Medicine, University of California, San Francisco, CA, USA
| | - Rae-Chi Huang
- Telethon Kids Institute, University of Western Australia, Perth, WA, Australia
| | - Karen Huen
- Environmental Health Sciences Division, School of Public Health, University of California, Berkeley, CA, USA
| | - Marjo-Riitta Järvelin
- Center For Lifecourse Health Research, University of Oulu, Oulu, Finland
- Biocenter Oulu, University of Oulu, Oulu, Finland
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Dereje D Jima
- Center for Human Health and the Environment, North Carolina State University, Raleigh, NC, USA
- Bioinformatics Research Center, North Carolina State University, Raleigh, NC, USA
| | - Allan C Just
- Department of Preventive Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Margaret R Karagas
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, USA
- Children’s Environmental Health & Disease Prevention Research Center at Dartmouth, Hanover, NH, USA
| | - Robert Karlsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Wilfried Karmaus
- Division of Epidemiology, Biostatistics, and Environmental Health Sciences, School of Public Health, University of Memphis, Memphis, USA
| | - Katerina J Kechris
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, USA
| | - Juha Kere
- Department of Biosciences and Nutrition, Karolinska Institutet, Stockholm, Sweden
| | - Manolis Kogevinas
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Berthold Koletzko
- Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children’s Hospital, Ludwig-Maximilians Universität München (LMU), Munich, Germany
| | - Gerard H Koppelman
- University of Groningen, Department of Pediatric Pulmonology and Pediatric Allergology, Beatrix Children's Hospital, GRIAC Research Institute Groningen, The Netherlands
| | - Leanne K Küpers
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- School of Social and Community Medicine, University of Bristol, Bristol, UK
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Christine Ladd-Acosta
- Wendy Klag Center for Autism and Developmental Disabilities, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, USA
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, USA
| | - Jari Lahti
- Department of Psychology and Logopedics, Faulty of Medicine, University of Helsinki, Helsinki, Finland
- Collegium for Advanced Studies, University of Helsinki, Helsinki, Finland
| | - Nathalie Lambrechts
- Environmental Risk and Health Unit, Flemish Institute for Technological Research (VITO), Mol, Belgium
| | - Sabine AS Langie
- Environmental Risk and Health Unit, Flemish Institute for Technological Research (VITO), Mol, Belgium
- Faculty of Sciences, Hasselt University, Diepenbeek, Belgium
| | - Rolv T Lie
- Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
| | - Andrew H Liu
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Children's Hospital Colorado, Aurora, CO, USA
| | - Maria C Magnus
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- School of Social and Community Medicine, University of Bristol, Bristol, UK
- Department for Non-Communicable Diseases, Domain for Mental and Physical Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Per Magnus
- Norwegian Institute of Public Health, Oslo, Norway
| | - Rachel L Maguire
- Department of Biological Sciences, North Carolina State University, Raleigh, NC, USA
- Department of Community and Family Medicine, Duke University Medical Center, Durham, NC, USA
| | - Carmen J Marsit
- Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, USA
| | - Wendy McArdle
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Erik Melén
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Sachs Children’s Hospital, Stockholm, Sweden
- Centre for Occupational and Environmental Medicine, Stockholm County Council, Stockholm, Sweden
| | - Phillip Melton
- The Curtin UWA Centre for Genetic Origins of Health and Disease, Faculty of Health Sciences, Curtin University and Faculty of Medicine Dentistry & Health Sciences, The University of Western Australia, Perth, Australia
| | - Susan K Murphy
- Department of Obstetrics and Gynecology, Duke University Medical Center, Durham, NC, USA
| | - Tim S Nawrot
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
- Department of Public Health & Primary Care, Leuven University, Leuven, Belgium
| | - Lorenza Nisticò
- National Center of Epidemiology, Surveillance and Health Promotion, Istituto Superiore di Sanità, Rome, Italy
| | - Ellen A Nohr
- Research Unit for Gynaecology and Obstetrics, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Björn Nordlund
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Pediatric Allergy and Pulmonology Unit at Astrid Lindgren Children’s Hospital, Karolinska University Hospital, Stockholm, Sweden
| | | | - Sam S Oh
- Department of Medicine, University of California, San Francisco, CA, USA
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | | | - Patrice Perron
- Department of Medicine, Université de Sherbrooke, Sherbrooke, QC, Canada
| | - Göran Pershagen
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Centre for Occupational and Environmental Medicine, Stockholm County Council, Stockholm, Sweden
| | - Costanza Pizzi
- Department of Medical Sciences, University of Turin, Turin, Italy
| | - Michelle Plusquin
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
- MRC/PHE Centre for Environment and Health School of Public Health, Imperial College London, London, UK
| | - Katri Raikkonen
- Department of Psychology and Logopedics, Faulty of Medicine, University of Helsinki, Helsinki, Finland
| | - Sarah E Reese
- National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, USA
| | - Eva Reischl
- Research Unit of Molecular Epidemiology, Institute of Epidemiology II, Helmholtz Zentrum Muenchen, Munich, Germany
| | - Lorenzo Richiardi
- Department of Medical Sciences, University of Turin, Turin, Italy
- AOU Città della Salute e della Sceinza, CPO Piemonte, Turin, Italy
| | - Susan Ring
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Ritu P Roy
- Helen Diller Family Comprehensive Cancer Center (HDFCCC), UCSF, San Francisco, CA, USA
- Computational Biology Core, UCSF, San Francisco, CA, USA
| | - Peter Rzehak
- Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children’s Hospital, Ludwig-Maximilians Universität München (LMU), Munich, Germany
| | - Greet Schoeters
- Environmental Risk and Health Unit, Flemish Institute for Technological Research (VITO), Mol, Belgium
- Department of Biomedical Sciences, University of Antwerp, Wilrijk, Belgium
- Department of Environmental Medicine, Institute of Public Health, University of Southern Denmark, Odense, Denmark
| | - David A Schwartz
- Department of Immunology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Sylvain Sebert
- Center For Lifecourse Health Research, University of Oulu, Oulu, Finland
- Biocenter Oulu, University of Oulu, Oulu, Finland
- Department of Genomics of Complex Diseases, School of Public Health, Imperial College London, London, United Kingdom
| | - Harold Snieder
- Generation R Study Group Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Thorkild IA Sørensen
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Novo Nordisk Foundation Center for Basic Metabolic Research, Section on Metabolic Genetics, and Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Epidemiology (formerly Institute of Preventive Medicine), Bispebjerg and Frederiksberg Hospital, The Capital Region, Copenhagen, Denmark
| | - Anne P Starling
- Department of Epidemiology, Colorado School of Public Health
- Life Course Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Jordi Sunyer
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Jack A Taylor
- National Institute of Environmental Health Sciences, Epidemiology Branch, Durham, NC, USA
| | - Henning Tiemeier
- Department of Epidemiology, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Child and Adolescent Psychiatry, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Psychiatry, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Vilhelmina Ullemar
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Marina Vafeiadi
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece
| | - Marinus H Van Ijzendoorn
- Centre for Child and Family Studies, Leiden University, Leiden, The Netherlands
- Department of Psychology, Education and Child Studies, Erasmus University Rotterdam, Rotterdam, The Netherlands
| | - Judith M Vonk
- University of Groningen, University Medical Center Groningen, Department of Epidemiology, GRIAC Research Institute Groningen, the Netherlands
| | - Annette Vriens
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Martine Vrijheid
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Pei Wang
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Joseph L Wiemels
- Department of Epidemiology and Biostatistics, UCSF, San Francisco, CA, USA
- Department of Neurosurgery, UCSF, San Francisco, CA, USA
| | - Allen J Wilcox
- National Institute of Environmental Health Sciences, Epidemiology Branch, Durham, NC, USA
| | - Rosalind J Wright
- Department of Pediatrics, Kravis Children's Hospital, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Mindich Child Health & Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Cheng-Jian Xu
- University of Groningen, University Medical Center Groningen, Department of Pulmonology, GRIAC Research Institute Groningen, the Netherlands
- University of Groningen, University Medical Center Groningen, Department of Genetics, Groningen, the Netherlands
| | - Zongli Xu
- National Institute of Environmental Health Sciences, Epidemiology Branch, Durham, NC, USA
| | - Ivana V Yang
- Department of Epidemiology, Colorado School of Public Health
- Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Paul Yousefi
- Environmental Health Sciences Division, School of Public Health, University of California, Berkeley, CA, USA
| | - Hongmei Zhang
- Division of Epidemiology, Biostatistics, and Environmental Health Sciences, School of Public Health, University of Memphis, Memphis, USA
| | - Weiming Zhang
- Life Course Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, USA
| | - Shanshan Zhao
- National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, USA
| | - Golareh Agha
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Caroline L Relton
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Vincent WV Jaddoe
- Department of Epidemiology, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Generation R Study Group Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Stephanie J London
- National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, USA
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Molnar DS, Rancourt D, Schlauch R, Wen X, Huestis MA, Eiden RD. Tobacco Exposure and Conditional Weight-for-Length Gain by 2 Years of Age. J Pediatr Psychol 2017; 42:679-688. [PMID: 28169405 PMCID: PMC5896634 DOI: 10.1093/jpepsy/jsw095] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2016] [Revised: 10/26/2016] [Accepted: 11/08/2016] [Indexed: 11/14/2022] Open
Abstract
Objective To prospectively examine dose-response and timing effects of prenatal (PTE) and postnatal tobacco exposure on obesity risk assessed by conditional weight-for-length gain (CWFLG), by 2 years of age. CWFLG over the first 2 years of life was examined for 117 PTE and 57 nonexposed children. Repeated assessments of PTE were conducted beginning in the first trimester of pregnancy, using multiple methods. PTE or postnatal exposure status was not predictive of CWFLG. However, there was a dose-response association and an association with fetal exposure ascertained by infant meconium positive for nicotine and metabolites. PTE is related to restricted growth at birth, yet associated with accelerated CWFLG by 2 years of age, a measure that controls for birthweight differences. Results highlight the importance of examining dose-response and timing of exposure associations, along with the importance of obesity risk-reduction interventions within the first 2 years of life among PTE children.
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Affiliation(s)
- Danielle S. Molnar
- Department of Child and Youth Studies, Brock University
- Research Institute on Addictions, State University of New York at Buffalo
| | | | | | - Xiaozhong Wen
- Division of Behavioral Medicine, Department of Pediatrics, School of Medicine and Biomedical Sciences, State University of New York at Buffalo
| | - Marilyn A. Huestis
- Chemistry and Drug Metabolism, National Institute on Drug Abuse, National Institutes of Health
| | - Rina D. Eiden
- Research Institute on Addictions, State University of New York at Buffalo
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Barrea L, Savastano S, Di Somma C, Savanelli MC, Nappi F, Albanese L, Orio F, Colao A. Low serum vitamin D-status, air pollution and obesity: A dangerous liaison. Rev Endocr Metab Disord 2017; 18:207-214. [PMID: 27645613 PMCID: PMC5486902 DOI: 10.1007/s11154-016-9388-6] [Citation(s) in RCA: 55] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
The aim of this review is to provide a general overview of the possible associations among the vitamin D status, air pollution and obesity. Sunlight exposure accounts in humans for more than 90 % of the production of vitamin D. Among emerging factors influencing sunlight-induced synthesis of vitamin D, prospective and observational studies proved that air pollution constitutes an independent risk factor in the pathogenesis of vitamin D hypovitaminosis. In addition, environmental pollutants can affect risk of obesity when inhaled, in combination with unhealthy diet and lifestyle. In turn, obesity is closely associated with a low vitamin D status and many possible mechanisms have been proposed to explain this association. The associations of air pollution with low vitamin D status on the hand and with obesity on the other hand, could provide a rationale for considering obesity as a further link between air pollution and low vitamin D status. In this respect, a vicious cycle could operate among low vitamin D status, air pollution, and obesity, with additive detrimental effects on cardio-metabolic risk in obese individuals. Besides vitamin D supplementation, nutrient combination, used to maximize the protective effects against air pollution, might also contribute to improve the vitamin D status by attenuating the "obesogen" effects of air pollution.
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Affiliation(s)
- Luigi Barrea
- I. O.S. & COLEMAN Srl, 80011 Acerra, Naples, Italy
| | - Silvia Savastano
- Dipartimento di Medicina Clinica e Chirurgia, Unit of Endocrinology, Federico II University Medical School of Naples, Via Sergio Pansini 5, 80131 Naples, Italy
| | | | | | | | - Lidia Albanese
- Dipartimento di Medicina Clinica e Chirurgia, Unit of Endocrinology, Federico II University Medical School of Naples, Via Sergio Pansini 5, 80131 Naples, Italy
| | - Francesco Orio
- Department of Sports Science and Wellness, “Parthenope” University of Naples, Naples, Italy
| | - Annamaria Colao
- Dipartimento di Medicina Clinica e Chirurgia, Unit of Endocrinology, Federico II University Medical School of Naples, Via Sergio Pansini 5, 80131 Naples, Italy
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Browne HA, Modabbernia A, Buxbaum JD, Hansen SN, Schendel DE, Parner ET, Reichenberg A, Grice DE. Prenatal Maternal Smoking and Increased Risk for Tourette Syndrome and Chronic Tic Disorders. J Am Acad Child Adolesc Psychiatry 2016; 55:784-91. [PMID: 27566119 DOI: 10.1016/j.jaac.2016.06.010] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/31/2015] [Revised: 06/09/2016] [Accepted: 06/24/2016] [Indexed: 12/18/2022]
Abstract
OBJECTIVE We assessed the role of prenatal maternal smoking in risk for Tourette syndrome and chronic tic disorder (TS/CT) and pediatric-onset obsessive-compulsive disorder (OCD). METHOD In an analysis of 73,073 singleton pregnancies from the Danish National Birth Cohort, we calculated incidence rates (IR) per 1,000 person-year for TS/CT and OCD. We then determined crude and adjusted hazard ratios and 95% CIs associated with prenatal maternal smoking, considering smoking as a dichotomous (yes/no) variable or a stratified variable (no smoking, light smoking, and heavy smoking [≥10 cigarettes/day]). Additional analyses examined the effect of maternal smoking on risk for TS/CT with other comorbid psychiatric conditions. RESULTS In final adjusted analyses, heavy smoking was associated with a 66% increased risk for TS/CT (adjusted hazard ratio = 1.66, 95% CI = 1.17-2.35). In addition, heavy smoking was associated with a 2-fold increased risk for TS/CT with comorbid attention-deficit/hyperactivity disorder (ADHD), and both light and heavy smoking were associated with a more than 2-fold increased risk for TS/CT with any non-ADHD psychiatric comorbidity. Our parallel analyses of pediatric-onset OCD were likely underpowered but showed similar relationships. CONCLUSION Prenatal maternal smoking was associated with increased risk for TS/CT as well as TS/CT with comorbid psychiatric conditions, even after adjustment for several important variables, including maternal psychiatric history, socioeconomic status, and partner smoking. Our findings point to a pathway linking prenatal tobacco exposure and altered brain development to TS/CT.
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Affiliation(s)
- Heidi A Browne
- Division of Tics, Obsessive-Compulsive Disorder (OCD) and Related Disorders, Icahn School of Medicine at Mount Sinai, New York
| | | | - Joseph D Buxbaum
- Seaver Autism Center, Icahn School of Medicine at Mount Sinai; Friedman Brain Institute and Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai
| | | | - Diana E Schendel
- Section for Epidemiology, Aarhus University, Denmark; National Centre for Register-Based Research, Aarhus University
| | | | - Abraham Reichenberg
- Seaver Autism Center, Icahn School of Medicine at Mount Sinai; Friedman Brain Institute and Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai
| | - Dorothy E Grice
- Division of Tics, Obsessive-Compulsive Disorder (OCD) and Related Disorders, Icahn School of Medicine at Mount Sinai, New York; Friedman Brain Institute and Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai.
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Abstract
PURPOSE OF REVIEW The huge percentages of persons with obesity in many countries constitute a public health crisis. The severe consequences of obesity for physical health and emotional wellbeing already emerge in childhood. Therefore, the acknowledgment of early risk factors is essential to provide recommendations for prevention strategies. This review outlines the current state of research concerning early risk factors for obesity, that is, factors that even contribute to later obesity of the offspring during gestation. In this regard, this review specifically addresses the link between restricted eating behavior of the mother and obesity in her offspring. We systematically searched for articles in PsychINFO, PsychINDEX, MEDLINE, PubMed, MEDPILOT, and Web of Science, and we identified additional studies in bibliographies. RECENT FINDINGS Although some risk factors (e.g., short period of breastfeeding, gestational diabetes, and high maternal BMI) have a vast evidence base, others (e.g., restricted eating behavior and second-hand smoking) are insufficiently studied. SUMMARY Physical activity and diet programs in pregnancy can reduce not only the occurrence of gestational diabetes, but also the risk of inappropriate weight gain. As smoking during pregnancy and inappropriate eating behavior are associated with lower education, psychoeducation, for instance in sex education classes, could be easily conceivable.
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Rayfield S, Plugge E. Systematic review and meta-analysis of the association between maternal smoking in pregnancy and childhood overweight and obesity. J Epidemiol Community Health 2016; 71:162-173. [PMID: 27480843 DOI: 10.1136/jech-2016-207376] [Citation(s) in RCA: 119] [Impact Index Per Article: 14.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2016] [Revised: 07/10/2016] [Accepted: 07/11/2016] [Indexed: 12/29/2022]
Abstract
BACKGROUND By 2020, it is predicted that 60 million children worldwide will be overweight. Maternal smoking in pregnancy has been suggested as a contributing factor. Our objective was to systematically review studies on this, thereby expanding the evidence base for this association. METHODS Systematic review with meta-analysis, Prospero Registration number CRD42012002859. We searched PubMed, Embase, Global Health, Web of Science and the Grey literature. We included prevalence, cohort and cross-sectional studies involving full-term, singleton pregnancies. Published and unpublished studies through to 1 January 2015 in all languages, demonstrating an objective overweight outcome up until 18 years of age and data presented as an OR, were included. Quality assessment was undertaken using an adaption of the Newcastle-Ottawa scale. Statistical analysis was performed using Review Manager V.5.3. FINDINGS The meta-analysis included 39 studies of 236 687 children from Europe, Australia, North America and South America and Asia. Maternal smoking in pregnancy ranged from 5.5% to 38.7%, with the prevalence of overweight from 6.3% to 32.1% and obesity from 2.6% to 17%. Pooled adjusted ORs demonstrated an elevated odds of maternal smoking in pregnancy for childhood overweight (OR 1.37, 95% CI 1.28 to 1.46, I2 45%) and childhood obesity (OR 1.55, 95% CI 1.40 to 1.73, I2 24%). INTERPRETATION Our results demonstrate an association between maternal prenatal smoking and childhood overweight. This contributes to the growing evidence for the aetiology of childhood overweight, providing important information for policymakers and health professionals alike in planning cessation programmes or antismoking interventions for pregnant female smokers.
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Affiliation(s)
- Sarah Rayfield
- Nuffield Department of Medicine, Centre for Tropical Medicine and Global Health, Oxford, UK
| | - Emma Plugge
- Nuffield Department of Medicine, Centre for Tropical Medicine and Global Health, Oxford, UK
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Robinson O, Martínez D, Aurrekoetxea JJ, Estarlich M, Somoano AF, Íñiguez C, Santa-Marina L, Tardón A, Torrent M, Sunyer J, Valvi D, Vrijheid M. The association between passive and active tobacco smoke exposure and child weight status among Spanish children. Obesity (Silver Spring) 2016; 24:1767-77. [PMID: 27367931 DOI: 10.1002/oby.21558] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2016] [Revised: 03/31/2016] [Accepted: 04/25/2016] [Indexed: 11/10/2022]
Abstract
OBJECTIVE To assess the impact of passive and active tobacco smoke exposure, both pre- and postnatally, on child body mass index (BMI) and overweight. METHODS Pregnant women were enrolled into the Spanish INMA prospective birth cohort during 1997 to 2008. Tobacco smoke exposure was assessed by questionnaire and corroborated by pre- and postnatal cotinine measurements. Children were followed up until 4 years in newer subcohorts (N = 1866) and until 14 years in one older subcohort (N = 427). Child age- and sex-specific BMI Z-scores were calculated, and generalized estimating equations were used to model their relationship with repeated measures of tobacco smoke exposure. RESULTS Associations between prenatal passive exposure to tobacco smoke (adjusted β = 0.15, 95% CI: 0.05-0.25) and active maternal smoking (adjusted β = 0.20, 95% CI: 0.08-0.33) and child zBMI up to 4 years were observed. Stronger associations were observed in the older subcohort between both prenatal and child passive smoke exposure and zBMI up to 14 years. CONCLUSIONS Evidence for an effect of both passive and maternal active smoking on child postnatal growth has been provided. Although residual confounding cannot be completely ruled out, associations were robust to adjustment for a range of lifestyle factors.
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Affiliation(s)
- Oliver Robinson
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - David Martínez
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Juan J Aurrekoetxea
- Public Health Department, Basque Government, San Sebastian, Spain
- University of the Basque Country (UPV/EHU), San Sebastian, Spain
- Health Research Institute (BIODONOSTIA), San Sebastian, Spain
| | - Marisa Estarlich
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
- Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, Spain
| | - Ana Fernández Somoano
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
- Department of Medicine, University of Oviedo, Spain
| | - Carmen Íñiguez
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
- Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, Spain
| | - Loreto Santa-Marina
- Public Health Department, Basque Government, San Sebastian, Spain
- University of the Basque Country (UPV/EHU), San Sebastian, Spain
- Health Research Institute (BIODONOSTIA), San Sebastian, Spain
| | - Adonina Tardón
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
- Department of Medicine, University of Oviedo, Spain
| | - Maties Torrent
- Ib-salut, Area de Salut de Menorca, Balearic Islands, Spain
| | - Jordi Sunyer
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Damaskini Valvi
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Martine Vrijheid
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
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Woo Baidal JA, Locks LM, Cheng ER, Blake-Lamb TL, Perkins ME, Taveras EM. Risk Factors for Childhood Obesity in the First 1,000 Days: A Systematic Review. Am J Prev Med 2016; 50:761-779. [PMID: 26916261 DOI: 10.1016/j.amepre.2015.11.012] [Citation(s) in RCA: 559] [Impact Index Per Article: 69.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2015] [Revised: 11/17/2015] [Accepted: 11/18/2015] [Indexed: 12/27/2022]
Abstract
CONTEXT Mounting evidence suggests that the origins of childhood obesity and related disparities can be found as early as the "first 1,000 days"-the period from conception to age 2 years. The main goal of this study is to systematically review existing evidence for modifiable childhood obesity risk factors present from conception to age 2 years. EVIDENCE ACQUISITION PubMed, Embase, and Web of Science were searched for studies published between January 1, 1980, and December 12, 2014, of childhood obesity risk factors present during the first 1,000 days. Prospective, original human subject, English-language research with exposure occurrence during the first 1,000 days and with the outcome of childhood overweight or obesity (BMI ≥85th percentile for age and sex) collected between age 6 months and 18 years were analyzed between December 13, 2014, and March 15, 2015. EVIDENCE SYNTHESIS Of 5,952 identified citations, 282 studies met inclusion criteria. Several risk factors during the first 1,000 days were consistently associated with later childhood obesity. These included higher maternal pre-pregnancy BMI, prenatal tobacco exposure, maternal excess gestational weight gain, high infant birth weight, and accelerated infant weight gain. Fewer studies also supported gestational diabetes, child care attendance, low strength of maternal-infant relationship, low SES, curtailed infant sleep, inappropriate bottle use, introduction of solid food intake before age 4 months, and infant antibiotic exposure as risk factors for childhood obesity. CONCLUSIONS Modifiable risk factors in the first 1,000 days can inform future research and policy priorities and intervention efforts to prevent childhood obesity.
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Affiliation(s)
- Jennifer A Woo Baidal
- Division of General Academic Pediatrics, Department of Pediatrics, Massachusetts General Hospital, Boston, Massachusetts; Division of Pediatric Gastroenterology, Hepatology, and Nutrition, Department of Pediatrics, Columbia University Medical Center, New York City, New York
| | - Lindsey M Locks
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Erika R Cheng
- Division of General Academic Pediatrics, Department of Pediatrics, Massachusetts General Hospital, Boston, Massachusetts
| | - Tiffany L Blake-Lamb
- Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, Massachusetts; Kraft Center for Community Health Leadership, Partners Healthcare, Boston, Massachusetts
| | - Meghan E Perkins
- Division of General Academic Pediatrics, Department of Pediatrics, Massachusetts General Hospital, Boston, Massachusetts
| | - Elsie M Taveras
- Division of General Academic Pediatrics, Department of Pediatrics, Massachusetts General Hospital, Boston, Massachusetts; Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.
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Banderali G, Martelli A, Landi M, Moretti F, Betti F, Radaelli G, Lassandro C, Verduci E. Short and long term health effects of parental tobacco smoking during pregnancy and lactation: a descriptive review. J Transl Med 2015; 13:327. [PMID: 26472248 PMCID: PMC4608184 DOI: 10.1186/s12967-015-0690-y] [Citation(s) in RCA: 187] [Impact Index Per Article: 20.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2015] [Accepted: 10/07/2015] [Indexed: 01/19/2023] Open
Abstract
A great deal of attention has been focused on adverse effects of tobacco smoking on conception, pregnancy, fetal, and child health. The aim of this paper is to discuss the current evidence regarding short and long-term health effects on child health of parental smoking during pregnancy and lactation and the potential underlying mechanisms. Studies were searched on MEDLINE(®) and Cochrane database inserting, individually and using the Boolean ANDs and ORs, 'pregnancy', 'human lactation', 'fetal growth', 'metabolic outcomes', 'obesity', 'cardiovascular outcomes', 'blood pressure', 'brain development', 'respiratory outcomes', 'maternal or paternal or parental tobacco smoking', 'nicotine'. Publications coming from the reference list of studies were also considered from MEDLINE. All sources were retrieved between 2015-01-03 and 2015-31-05. There is overall consistency in literature about negative effects of fetal and postnatal exposure to parental tobacco smoking on several outcomes: preterm birth, fetal growth restriction, low birth weight, sudden infant death syndrome, neurodevelopmental and behavioral problems, obesity, hypertension, type 2 diabetes, impaired lung function, asthma and wheezing. While maternal smoking during pregnancy plays a major role on adverse postnatal outcomes, it may also cumulate negatively with smoking during lactation and with second-hand smoking exposure. Although this review was not strictly designed as a systematic review and the PRISMA Statement was not fully applied it may benefit the reader with a promptly and friendly readable update of the matter. This review strengthens the need to plan population health policies aimed to implement educational programs to hopefully minimize tobacco smoke exposure during pregnancy and lactation.
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Affiliation(s)
- G Banderali
- Department of Pediatrics, San Paolo Hospital, Via A Di Rudinì 8, 20142, Milan, Italy.
- Department of Health Sciences, University of Milan, Via A Di Rudinì 8, 20142, Milan, Italy.
| | - A Martelli
- U.O.C. Pediatria Presidio Ospedaliero Garbagnate Milanese Azienda Ospedaliera G. Salvini, Milan, Italy.
| | - M Landi
- Pediatrician Primary Care, Institute of Biomedicine and Molecular Immunology, National Research Council, CNR, Palermo, Italy.
| | - F Moretti
- Department of Pediatrics, San Paolo Hospital, Via A Di Rudinì 8, 20142, Milan, Italy.
- Department of Health Sciences, University of Milan, Via A Di Rudinì 8, 20142, Milan, Italy.
- Nutritional Sciences, University of Milan, Milan, Italy.
| | - F Betti
- Department of Pediatrics, San Paolo Hospital, Via A Di Rudinì 8, 20142, Milan, Italy.
- Department of Health Sciences, University of Milan, Via A Di Rudinì 8, 20142, Milan, Italy.
| | - G Radaelli
- Department of Pediatrics, San Paolo Hospital, Via A Di Rudinì 8, 20142, Milan, Italy.
- Department of Health Sciences, University of Milan, Via A Di Rudinì 8, 20142, Milan, Italy.
| | - C Lassandro
- Department of Pediatrics, San Paolo Hospital, Via A Di Rudinì 8, 20142, Milan, Italy.
- Department of Health Sciences, University of Milan, Via A Di Rudinì 8, 20142, Milan, Italy.
- Nutritional Sciences, University of Milan, Milan, Italy.
| | - E Verduci
- Department of Pediatrics, San Paolo Hospital, Via A Di Rudinì 8, 20142, Milan, Italy.
- Department of Health Sciences, University of Milan, Via A Di Rudinì 8, 20142, Milan, Italy.
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Brown CL, Halvorson EE, Cohen GM, Lazorick S, Skelton JA. Addressing Childhood Obesity: Opportunities for Prevention. Pediatr Clin North Am 2015; 62:1241-61. [PMID: 26318950 PMCID: PMC4555982 DOI: 10.1016/j.pcl.2015.05.013] [Citation(s) in RCA: 113] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
The overweight and obesity epidemic among children and adolescents in the United States continues to worsen, with notable racial, ethnic, and socioeconomic disparities. Risk factors for pediatric obesity include genetics; environmental and neighborhood factors; increased intake of sugar-sweetened beverages (SSBs), fast-food, and processed snacks; decreased physical activity; shorter sleep duration; and increased personal, prenatal, or family stress. Pediatricians can help prevent obesity by measuring body mass index at least yearly and providing age- and development-appropriate anticipatory guidance to families. Public policies and environmental interventions aim to make it easier for children to make healthy nutrition and physical activity choices. Interventions focused on family habits and parenting strategies have also been successful at preventing or treating childhood obesity.
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Affiliation(s)
- Callie L Brown
- Department of Pediatrics, University of North Carolina at Chapel Hill, 301B, S. Columbia Street, Chapel Hill, NC 27599, USA
| | - Elizabeth E Halvorson
- Department of Pediatrics, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, USA
| | - Gail M Cohen
- Department of Pediatrics, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, USA; Brenner FIT (Families in Training) Program, Brenner Children's Hospital, Medical Center Boulevard, Winston-Salem, NC 27157, USA
| | - Suzanne Lazorick
- Department of Pediatrics, Brody School of Medicine, East Carolina University, Greenville, NC 27834, USA; Department of Public Health, East Carolina University, Greenville, NC 27834, USA
| | - Joseph A Skelton
- Department of Pediatrics, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, USA; Brenner FIT (Families in Training) Program, Brenner Children's Hospital, Medical Center Boulevard, Winston-Salem, NC 27157, USA; Division of Public Health Sciences, Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, NC, USA.
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Andra SS, Austin C, Arora M. Tooth matrix analysis for biomonitoring of organic chemical exposure: Current status, challenges, and opportunities. ENVIRONMENTAL RESEARCH 2015; 142:387-406. [PMID: 26219084 PMCID: PMC4609267 DOI: 10.1016/j.envres.2015.06.032] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/18/2015] [Revised: 06/21/2015] [Accepted: 06/25/2015] [Indexed: 05/18/2023]
Abstract
Epidemiological evidence supports associations between prenatal exposure to environmental organic chemicals and childhood health impairments. Unlike the common choice of biological matrices such as urine and blood that can be limited by short half-lives for some chemicals, teeth provide a stable repository for chemicals with half-life in the order of decades. Given the potential of the tooth bio-matrix to study long-term exposures to environmental organic chemicals in human biomonitoring programs, it is important to be aware of possible pitfalls and potential opportunities to improve on the current analytical method for tooth organics analysis. We critically review previous results of studies of this topic. The major drawbacks and challenges in currently practiced concepts and analytical methods in utilizing tooth bio-matrix are (i) no consideration of external (from outer surface) or internal contamination (from micro-odontoblast processes), (ii) the misleading assumption that whole ground teeth represent prenatal exposures (latest formed dentine is lipid rich and therefore would absorb and accumulate more organic chemicals), (iii) reverse causality in exposure assessment due to whole ground teeth, and (iv) teeth are a precious bio-matrix and grinding them raises ethical concerns about appropriate use of a very limited resource in exposure biology and epidemiology studies. These can be overcome by addressing the important limitations and possible improvements with the analytical approach associated at each of the following steps: (i) tooth sample preparation to retain exposure timing, (ii) organics extraction and pre-concentration to detect ultra-trace levels of analytes, (iii) chromatography separation, (iv) mass spectrometric detection to detect multi-class organics simultaneously, and (v) method validation, especially to exclude chance findings. To highlight the proposed improvements we present findings from a pilot study that utilizes tooth matrix biomarkers to obtain trimester-specific exposure information for a range of organic chemicals.
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Affiliation(s)
- Syam S Andra
- Exposure Biology, Lautenberg Environmental Health Sciences Laboratory, Department of Preventive Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Christine Austin
- Exposure Biology, Lautenberg Environmental Health Sciences Laboratory, Department of Preventive Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Faculty of Dentistry, University of Sydney, Sydney, NSW, Australia
| | - Manish Arora
- Exposure Biology, Lautenberg Environmental Health Sciences Laboratory, Department of Preventive Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Faculty of Dentistry, University of Sydney, Sydney, NSW, Australia.
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Thurber KA, Dobbins T, Kirk M, Dance P, Banwell C. Early Life Predictors of Increased Body Mass Index among Indigenous Australian Children. PLoS One 2015; 10:e0130039. [PMID: 26075400 PMCID: PMC4468174 DOI: 10.1371/journal.pone.0130039] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2015] [Accepted: 05/15/2015] [Indexed: 02/01/2023] Open
Abstract
Aboriginal and Torres Strait Islander Australians are more likely than non-Indigenous Australians to be obese and experience chronic disease in adulthood--conditions linked to being overweight in childhood. Birthweight and prenatal exposures are associated with increased Body Mass Index (BMI) in other populations, but the relationship is unclear for Indigenous children. The Longitudinal Study of Indigenous Children is an ongoing cohort study of up to 1,759 children across Australia. We used a multilevel model to examine the association between children's birthweight and BMI z-score in 2011, at age 3-9 years, adjusted for sociodemographic and maternal factors. Complete data were available for 682 of the 1,264 children participating in the 2011 survey; we repeated the analyses in the full sample with BMI recorded (n=1,152) after multilevel multiple imputation. One in ten children were born large for gestational age, and 17% were born small for gestational age. Increasing birthweight predicted increasing BMI; a 1-unit increase in birthweight z-score was associated with a 0.22-unit (95% CI:0.13, 0.31) increase in childhood BMI z-score. Maternal smoking during pregnancy was associated with a significant increase (0.25; 95% CI:0.05, 0.45) in BMI z-score. The multiple imputation analysis indicated that our findings were not distorted by biases in the missing data. High birthweight may be a risk indicator for overweight and obesity among Indigenous children. National targets to reduce the incidence of low birthweight which measure progress by an increase in the population's average birthweight may be ignoring a significant health risk; both ends of the spectrum must be considered. Interventions to improve maternal health during pregnancy are the first step to decreasing the prevalence of high BMI among the next generation of Indigenous children.
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Affiliation(s)
- Katherine A. Thurber
- National Centre for Epidemiology and Population Health, Research School of Population Health, The Australian National University, Canberra, Australia
| | - Timothy Dobbins
- National Centre for Epidemiology and Population Health, Research School of Population Health, The Australian National University, Canberra, Australia
| | - Martyn Kirk
- National Centre for Epidemiology and Population Health, Research School of Population Health, The Australian National University, Canberra, Australia
| | - Phyll Dance
- ANU Medical School, The Australian National University, Canberra, Australia
- National Centre for Indigenous Studies, The Australian National University, Canberra, Australia
| | - Cathy Banwell
- National Centre for Epidemiology and Population Health, Research School of Population Health, The Australian National University, Canberra, Australia
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Richmond RC, Timpson NJ, Sørensen TIA. Exploring possible epigenetic mediation of early-life environmental exposures on adiposity and obesity development. Int J Epidemiol 2015; 44:1191-8. [PMID: 25953782 DOI: 10.1093/ije/dyv066] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/23/2015] [Indexed: 12/17/2022] Open
Affiliation(s)
| | | | - Thorkild I A Sørensen
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK, Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Medical and Health Sciences, University of Copenhagen, Copenhagen, Denmark and Institute of Preventive Medicine, Bispebjerg and Frederiksberg Hospitals, Copenhagen, Denmark
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