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Pomi AL, Pepe G, Aversa T, Corica D, Valenzise M, Messina MF, Morabito LA, Stagi S, Wasniewska M. Early adiposity rebound: predictors and outcomes. Ital J Pediatr 2024; 50:98. [PMID: 38750561 PMCID: PMC11094876 DOI: 10.1186/s13052-024-01671-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Accepted: 05/04/2024] [Indexed: 05/19/2024] Open
Abstract
Adiposity rebound (AR) refers to the second rise of the body mass index (BMI) curve that usually occurs between six and eight years of age. AR timing has a significant impact on patients' health: early AR (EAR), usually before the age of five, is considered to be the earliest indicator of obesity and its related health conditions later in life. Many studies have evaluated factors that can be predictors of EAR, and identified low birth weight and gestational weight gain as novel predictors of EAR, highlighting the role of the intrauterine environment in the kinetics of adiposity. Furthermore, children with breastfeeding longer than 4 months have been found to be less likely to have an EAR, whereas children born to advanced-age mothers, high maternal BMI had a higher risk of having an EAR. Some differences were found in the timing of AR in boys and girls, with girls being more likely to have EAR. The aim of this review is to answer the following three questions: 1) Which are the prenatal and perinatal factors associated with increased risk of EAR? Is gender one of these? 2) Which are the outcomes of EAR in childhood and in adulthood? 3) Which measures can be taken in order to prevent premature AR?
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Affiliation(s)
- Alessandra Li Pomi
- Department of Human Pathology of Adulthood and Childhood, University of Messina, Via Consolare Valeria, 98124, Messina, Italy.
- Pediatric Unit "G. Martino University Hospital, Messina, Italy.
| | - Giorgia Pepe
- Department of Human Pathology of Adulthood and Childhood, University of Messina, Via Consolare Valeria, 98124, Messina, Italy
- Pediatric Unit "G. Martino University Hospital, Messina, Italy
| | - Tommaso Aversa
- Department of Human Pathology of Adulthood and Childhood, University of Messina, Via Consolare Valeria, 98124, Messina, Italy
- Pediatric Unit "G. Martino University Hospital, Messina, Italy
| | - Domenico Corica
- Department of Human Pathology of Adulthood and Childhood, University of Messina, Via Consolare Valeria, 98124, Messina, Italy
- Pediatric Unit "G. Martino University Hospital, Messina, Italy
| | - Mariella Valenzise
- Department of Human Pathology of Adulthood and Childhood, University of Messina, Via Consolare Valeria, 98124, Messina, Italy
- Pediatric Unit "G. Martino University Hospital, Messina, Italy
| | - Maria Francesca Messina
- Department of Human Pathology of Adulthood and Childhood, University of Messina, Via Consolare Valeria, 98124, Messina, Italy
- Pediatric Unit "G. Martino University Hospital, Messina, Italy
| | | | - Stefano Stagi
- Department of Health Sciences, University of Florence, Florence, Italy
- Meyer Children's Hospital IRCCS, Florence, Italy
| | - Malgorzata Wasniewska
- Department of Human Pathology of Adulthood and Childhood, University of Messina, Via Consolare Valeria, 98124, Messina, Italy
- Pediatric Unit "G. Martino University Hospital, Messina, Italy
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Zhang M, Perng W, Rifas-Shiman SL, Aris IM, Oken E, Hivert MF. Metabolomic signatures for blood pressure from early to late adolescence: findings from a U.S. cohort. Metabolomics 2024; 20:52. [PMID: 38722414 PMCID: PMC11195684 DOI: 10.1007/s11306-024-02110-5] [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: 12/14/2023] [Accepted: 03/19/2024] [Indexed: 05/18/2024]
Abstract
INTRODUCTION Metabolite signatures for blood pressure (BP) may reveal biomarkers, elucidate pathogenesis, and provide prevention targets for high BP. Knowledge regarding metabolites associated with BP in adolescence remains limited. OBJECTIVES Investigate the associations between metabolites and adolescent BP, both cross-sectionally (in early and late adolescence) and prospectively (from early to late adolescence). METHODS Participants are from the Project Viva prospective cohort. During the early (median: 12.8 years; N = 556) and late (median: 17.4 years; N = 501) adolescence visits, we conducted untargeted plasma metabolomic profiling and measured systolic (SBP) and diastolic BP (DBP). We used linear regression to identify metabolites cross-sectionally associated with BP at each time point, and to assess prospective associations of changes in metabolite levels from early to late adolescence with late adolescence BP. We used Weighted Gene Correlation Network Analysis and Spearman's partial correlation to identify metabolite clusters associated with BP at each time point. RESULTS In the linear models, higher androgenic steroid levels were consistently associated with higher SBP and DBP in early and late adolescence. A cluster of 59 metabolites, mainly composed of androgenic steroids, correlated with higher SBP and DBP in early adolescence. A cluster primarily composed of fatty acid lipids was marginally associated with higher SBP in females in late adolescence. Multiple metabolites, including those in the creatine and purine metabolism sub-pathways, were associated with higher SBP and DBP both cross-sectionally and prospectively. CONCLUSION Our results shed light on the potential metabolic processes and pathophysiology underlying high BP in adolescents.
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Affiliation(s)
- Mingyu Zhang
- Division of General Medicine, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Avenue, CO-1309, #204, Boston, MA, 02215, USA.
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.
| | - Wei Perng
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Lifecourse Epidemiology of Adiposity & Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Sheryl L Rifas-Shiman
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Izzuddin M Aris
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Emily Oken
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Marie-France Hivert
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
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Lin D, Chen D, Huang J, Li Y, Wen X, Ou P, Shi H. Breastfeeding is associated with reduced risks of central obesity and hypertension in young school-aged children: a large, population-based study. Int Breastfeed J 2023; 18:52. [PMID: 37697319 PMCID: PMC10496387 DOI: 10.1186/s13006-023-00581-1] [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: 11/25/2021] [Accepted: 08/04/2023] [Indexed: 09/13/2023] Open
Abstract
BACKGROUND Previous studies examined the effects of breastfeeding on measured values of body circumferences or blood pressure during childhood. However, limited data are available for the association between child feeding and a specific disease diagnosed as central obesity or hypertension. Hence, we aimed to examine whether the type and duration of breastfeeding are associated with obesity/central obesity or hypertension in young school-aged children. METHODS We matched the data obtained from a cross-sectional survey in 2019 with retrospective breastfeeding information recorded in the database. Heights, weights, waist circumferences, and blood pressures of 8480 children in first grade of primary schools in Shanghai, China were measured to diagnose obesity, central obesity, and hypertension. Data on child feeding was collected retrospectively from clinical records. Associations between the type/duration of breastfeeding and children's measured values of body mass index, waist circumference, and blood pressure were analysed by linear regression. Associations between the type/duration of breastfeeding and risks of obesity, central obesity, and hypertension were analysed by generalised linear models. RESULTS Breastfeeding duration was inversely associated with blood pressure values in children in the first grade. Each month's increase in the duration of any breastfeeding was associated with a 0.07 mmHg decrease in systolic blood pressure (P < 0.01) and a 0.05 mmHg decrease in diastolic blood pressure (P < 0.01). Any breastfeeding > one month was associated with a reduced risk of hypertension (adjusted risk ratio 0.84; 95% CI 0.73, 0.96, P = 0.01). Exclusive breastfeeding > one month was associated with a reduced risk of central obesity (adjusted risk ratio 0.76; 95% CI: 0.60, 0.96, P = 0.02). Any breastfeeding > 12 months was linked with a lower risk of hypertension (adjusted risk ratio 0.83; 95% CI 0.70, 0.98, P = 0.03). CONCLUSIONS Lack of breastfeeding is associated with higher risks of central obesity and hypertension during middle childhood. As a potential component of the public health strategy to reduce population levels of metabolic and cardiovascular diseases, breastfeeding could be a vital prevention strategy.
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Affiliation(s)
- Dan Lin
- Fujian Maternity and Child Health Hospital, Fuzhou, China
- Department of Maternal, Child and Adolescent Health, School of Public Health, Fudan University, Shanghai, China
| | - Didi Chen
- Minhang Center of Disease Control and Prevention, Shanghai, China
- Minhang Branch, School of Public Health, Fudan University, Shanghai, China
| | - Jun Huang
- Minhang Maternal and Child Health Centre, Shanghai, China
| | - Yun Li
- Minhang Maternal and Child Health Centre, Shanghai, China
| | - Xiaosa Wen
- Minhang Center of Disease Control and Prevention, Shanghai, China
- Minhang Branch, School of Public Health, Fudan University, Shanghai, China
| | - Ping Ou
- Fujian Maternity and Child Health Hospital, Fuzhou, China
| | - Huijing Shi
- Department of Maternal, Child and Adolescent Health, School of Public Health, Fudan University, Shanghai, China.
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Yin XG, Wang P, Zhou MT, Li DQ, Tao RX, Tao FB, Wang Y, Zhu P. Timing of gestational diabetes diagnosis, gestational weight gains and offspring growth trajectory: a prospective birth cohort study. BMC Pregnancy Childbirth 2023; 23:642. [PMID: 37679668 PMCID: PMC10483803 DOI: 10.1186/s12884-023-05954-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Accepted: 08/24/2023] [Indexed: 09/09/2023] Open
Abstract
BACKGROUND The evidence on the associations of the timing of maternal gestational diabetes mellitus (GDM) with the comprehensive growth trajectory from perinatal to early childhood in offspring is limited. The potential mechanism remains elusive. Our aim is to estimate the associations of the timing of GDM diagnosis and gestational weight gains (GWG) with the growth trajectory of children from perinatal to early childhood. METHODS A total of 7609 participants are included from the Maternal & Infants Health in Hefei cohort study. Primary predictors were the timing of maternal GDM diagnosis and GWG during pregnancy. The main outcomes included fetal ultrasonic measurements, birth size as well as BMI peak indicators during infancy within 48 months. RESULTS GDM diagnosed before 26 weeks was associated with increased risks of overgrowth for fetal abdominal circumference (OR 1.19, 95% CI 1.04-1.36) and birth weight (OR 1.51, 95% CI 1.19-1.91) when compared with unexposed. GDM diagnosis < 26 weeks was related to the higher BMI peak (β 0.16, 95%CI 0.03-0.28) within 48 months. The significantly additive impacts of maternal early GDM diagnosis and excessive gestational weight gains (EGWG) on offspring overgrowth were observed. Women in GDM < 26 weeks with early EGWG group had higher levels of hsCRP compared with GDM > 26 weeks (P < 0.001). CONCLUSIONS Exposure to maternal GDM diagnosed before 26 weeks with early EGWG could lead to shifts and/or disruptions from the typical growth trajectory from perinatal to early childhood in offspring.
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Affiliation(s)
- Xiao-Guang Yin
- Department of Pediatrics, First Affiliated Hospital of Anhui Medical University, Hefei, China
- Department of Neonatology, Hefei Women and Child Health Care Hospital, Hefei, China
| | - Peng Wang
- Department of Maternal, Child & Adolescent Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, China
- MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Hefei, China
| | - Mei-Ting Zhou
- Department of Maternal, Child & Adolescent Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, China
- MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Hefei, China
- Department of Disinfection and Sterilization, Hefei Centers for Disease Control and Prevention, Hefei, China
| | - De-Qin Li
- Department of Maternal, Child & Adolescent Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, China
- Department of Nephrology, High-tech Zone, First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Rui-Xue Tao
- Department of Obstetrics and Gynecology, the First People's Hospital of Hefei City, Hefei, China
| | - Fang-Biao Tao
- Department of Maternal, Child & Adolescent Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, China
- MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Hefei, China
| | - Yang Wang
- Department of Pediatrics, First Affiliated Hospital of Anhui Medical University, Hefei, China.
| | - Peng Zhu
- Department of Maternal, Child & Adolescent Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, China.
- MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China.
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei, China.
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Hefei, China.
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Zhang M, Aris IM, Lin PD, Rifas‐Shiman SL, Brady TM, James‐Todd T, Oken E, Hivert M. Prenatal and Childhood Per- and Polyfluoroalkyl Substance (PFAS) Exposures and Blood Pressure Trajectories From Birth to Late Adolescence in a Prospective US Prebirth Cohort. J Am Heart Assoc 2023; 12:e030760. [PMID: 37642023 PMCID: PMC10547341 DOI: 10.1161/jaha.123.030760] [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: 05/18/2023] [Accepted: 07/26/2023] [Indexed: 08/31/2023]
Abstract
Background Evidence is limited regarding the associations of prenatal and childhood per- and polyfluoroalkyl substance (PFAS) exposures with blood pressure (BP) trajectories in children. Methods and Results Participants are from Project Viva, a prospective prebirth cohort in eastern Massachusetts. We measured PFAS in early-pregnancy maternal (median, 9.6 weeks) and midchildhood (median, 7.7 years) plasma samples. We conducted standardized BP measurements at 6 research visits: birth, infancy (median, 6.3 months), early childhood (median, 3.2 years), midchildhood (median, 7.7 years), early adolescence (median, 12.9 years), and late adolescence (median, 17.5 years). We used linear regression to examine associations of individual PFASs with BP at each visit, linear spline mixed-effects regression to model BP trajectories, and a mixture approach to estimate PFAS exposure burden. We included 9036 BP measures from 1506 participants. We observed associations between particular individual prenatal PFASs and child BP at specific time points, for example, prenatal 2-(N-ethyl-perfluorooctane sulfonamido) acetate (EtFOSAA) and 2-(N-methyl-perfluorooctane sulfonamido) acetate (MeFOSAA) with higher systolic BP at birth; prenatal perfluorooctane sulfonate (PFOS) and EtFOSAA with lower diastolic BP in infancy; and prenatal PFOS, perfluorooctanoate (PFOA), and EtFOSAA with higher systolic BP at midchildhood. No prenatal or childhood PFAS was consistently associated with BP across all visits. Diastolic BP trajectories from 0 to 20 years differed slightly by prenatal PFOA, perfluorohexane sulfonate (PFHxS), and perfluorononanoate (PFNA) (P values 0.01-0.09). Diastolic BP trajectories from 6 to 20 years differed slightly by midchildhood PFHxS and MeFOSAA (P-values 0.03-0.08). Prenatal or childhood PFAS mixture burden scores were not associated with BP. Conclusions We found associations of prenatal and childhood PFAS exposures with BP at specific time points between birth and late adolescence but no consistent associations across all time points or PFAS types.
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Affiliation(s)
- Mingyu Zhang
- Department of Population MedicineHarvard Medical School and Harvard Pilgrim Health Care InstituteBostonMAUSA
| | - Izzuddin M. Aris
- Department of Population MedicineHarvard Medical School and Harvard Pilgrim Health Care InstituteBostonMAUSA
| | - Pi‐I Debby Lin
- Department of Population MedicineHarvard Medical School and Harvard Pilgrim Health Care InstituteBostonMAUSA
| | - Sheryl L. Rifas‐Shiman
- Department of Population MedicineHarvard Medical School and Harvard Pilgrim Health Care InstituteBostonMAUSA
| | - Tammy M. Brady
- Department of PediatricsJohns Hopkins University School of MedicineBaltimoreMDUSA
| | - Tamarra James‐Todd
- Departments of Environmental Health and EpidemiologyHarvard T.H. Chan School of Public HealthBostonMAUSA
| | - Emily Oken
- Department of Population MedicineHarvard Medical School and Harvard Pilgrim Health Care InstituteBostonMAUSA
- Department of NutritionHarvard T.H. Chan School of Public HealthBostonMAUSA
| | - Marie‐France Hivert
- Department of Population MedicineHarvard Medical School and Harvard Pilgrim Health Care InstituteBostonMAUSA
- Diabetes UnitMassachusetts General HospitalBostonMAUSA
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Peri-Conceptional Folic Acid Supplementation and Children’s Physical Development: A Birth Cohort Study. Nutrients 2023; 15:nu15061423. [PMID: 36986153 PMCID: PMC10052637 DOI: 10.3390/nu15061423] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 03/11/2023] [Accepted: 03/13/2023] [Indexed: 03/18/2023] Open
Abstract
Background: Maternal lack of folic acid supplementation during pregnancy may increase the risk of low birth weight and preterm delivery. However, little is known about the relationship between folic acid supplementation during pregnancy and the physical development of offspring in the later stage. Objective: This study aimed to explore the association between maternal folic acid supplementation status during pregnancy and the physical development of preschool children. Methods: A total of 3064 mother–child pairs with data on maternal folic acid supplementation status during pregnancy and children’s anthropometric measurements were recruited from the Ma’anshan-Anhui Birth Cohort (MABC) in China. Maternal folic acid supplementation status during pregnancy was the main exposure, and the primary outcomes were children’s growth development trajectories. Children’s growth development trajectories were fitted using group-based trajectory models. The association between maternal folic acid supplementation status during pregnancy and children’s growth trajectories was performed using multiple logistic regression models. Results: After adjusting for potential confounders, we found that the absence of maternal folic acid supplementation before pregnancy and in the first trimester was significantly associated with a “high level” trajectory (trajectory 3) and a “high rising level” trajectory (trajectory 4) of BMI-Z scores in children 0 to 6 years of age (OR = 1.423, 95%CI:1.022–1.982; OR = 1.654, 95%CI: 1.024–2.671). In children aged 4 to 6 years old, a “high level” trajectory (trajectory 3) of body fat ratio was substantially related to maternal no folic acid supplementation before pregnancy and in the first trimester (OR = 1.833, 95%CI:1.037–3.240). No significant additional benefits associated with physical developmental indicators in preschool children have been observed with continued folic acid supplementation after the first trimester of gestation. Conclusions: Maternal non-supplementation with folic acid during pregnancy is associated with a “high level” BMI trajectory and a “high level” body fat ratio trajectory in preschool-aged children.
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Wood CT, Truong T, Skinner AC, Armstrong SC, Perrin EM, Woo JG, Green CL. Timing and Magnitude of Peak Body Mass Index and Peak Weight Velocity in Infancy Predict Body Mass Index at 2 Years in a Retrospective Cohort of Electronic Health Record Data. J Pediatr 2023:S0022-3476(23)00115-4. [PMID: 36822510 DOI: 10.1016/j.jpeds.2023.01.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 01/10/2023] [Accepted: 01/13/2023] [Indexed: 02/23/2023]
Abstract
OBJECTIVES To use growth data from electronic health records to describe and model infant growth (weight velocity and peak body mass index [pBMI]) characteristics. STUDY DESIGN We extracted data from all children born at ≥34 weeks of gestation within one health system between 2014 and 2017. After excluding implausible growth data with an algorithm created for childhood growth, we estimated pBMI, peak weight and length velocities, and the odds of obesity at 2 years, adjusted for race, sex, ethnicity, and birth weight, by the magnitude of peak weight velocity, peak length velocity, and pBMI. RESULTS Among 6425 children (41% White, 28% Black, 26% other race; 16% Hispanic ethnicity), mean pBMI was 17.9 kg/m2 (SD 1.5) and mean age at pBMI was 9.6 months (SD 2.7). Mean peak weight velocity was 949 g (SD 165) per 2 weeks, and the mean peak length velocity was 3.4 cm (SD 0.3) per 2 weeks. Children with obesity at 2 years (n = 931, 14.5%) were more likely to be Hispanic, had greater peak weight and peak length velocities, and had 2 kg/m2 greater magnitude of pBMI than children without obesity. For each unit increase in pBMI, children had more than 4 times greater odds of obesity at age 2 years. CONCLUSIONS In a large sample of infants with clinical growth data tracked via electronic health records, we found associations between the magnitude and timing of peak infant BMI and obesity at 2 years of age.
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Affiliation(s)
- Charles T Wood
- Division of General Pediatrics and Adolescent Health and Duke Center for Childhood Obesity Research, Department of Pediatrics, Duke University School of Medicine, Durham, NC.
| | - Tracy Truong
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC
| | - Asheley C Skinner
- Department of Population Health Sciences, Duke University Medical School, Durham, NC; Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC
| | - Sarah C Armstrong
- Division of General Pediatrics and Adolescent Health and Duke Center for Childhood Obesity Research, Department of Pediatrics, Duke University School of Medicine, Durham, NC; Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC
| | - Eliana M Perrin
- Department of Pediatrics, Johns Hopkins School of Medicine, and School of Nursing, Baltimore, MD
| | - Jessica G Woo
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH; Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | - Cynthia L Green
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC; Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC
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Aris IM, Perng W, Dabelea D, Padula AM, Alshawabkeh A, Vélez-Vega CM, Aschner JL, Camargo CA, Sussman TJ, Dunlop AL, Elliott AJ, Ferrara A, Zhu Y, Joseph CLM, Singh AM, Hartert T, Cacho F, Karagas MR, North-Reid T, Lester BM, Kelly NR, Ganiban JM, Chu SH, O’Connor TG, Fry RC, Norman G, Trasande L, Restrepo B, James P, Oken E. Associations of Neighborhood Opportunity and Social Vulnerability With Trajectories of Childhood Body Mass Index and Obesity Among US Children. JAMA Netw Open 2022; 5:e2247957. [PMID: 36547983 PMCID: PMC9857328 DOI: 10.1001/jamanetworkopen.2022.47957] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Accepted: 10/30/2022] [Indexed: 12/24/2022] Open
Abstract
Importance Physical and social neighborhood attributes may have implications for children's growth and development patterns. The extent to which these attributes are associated with body mass index (BMI) trajectories and obesity risk from childhood to adolescence remains understudied. Objective To examine associations of neighborhood-level measures of opportunity and social vulnerability with trajectories of BMI and obesity risk from birth to adolescence. Design, Setting, and Participants This cohort study used data from 54 cohorts (20 677 children) participating in the Environmental Influences on Child Health Outcomes (ECHO) program from January 1, 1995, to January 1, 2022. Participant inclusion required at least 1 geocoded residential address and anthropometric measure (taken at the same time or after the address date) from birth through adolescence. Data were analyzed from February 1 to June 30, 2022. Exposures Census tract-level Child Opportunity Index (COI) and Social Vulnerability Index (SVI) linked to geocoded residential addresses at birth and in infancy (age range, 0.5-1.5 years), early childhood (age range, 2.0-4.8 years), and mid-childhood (age range, 5.0-9.8 years). Main Outcomes and Measures BMI (calculated as weight in kilograms divided by length [if aged <2 years] or height in meters squared) and obesity (age- and sex-specific BMI ≥95th percentile). Based on nationwide distributions of the COI and SVI, Census tract rankings were grouped into 5 categories: very low (<20th percentile), low (20th percentile to <40th percentile), moderate (40th percentile to <60th percentile), high (60th percentile to <80th percentile), or very high (≥80th percentile) opportunity (COI) or vulnerability (SVI). Results Among 20 677 children, 10 747 (52.0%) were male; 12 463 of 20 105 (62.0%) were White, and 16 036 of 20 333 (78.9%) were non-Hispanic. (Some data for race and ethnicity were missing.) Overall, 29.9% of children in the ECHO program resided in areas with the most advantageous characteristics. For example, at birth, 26.7% of children lived in areas with very high COI, and 25.3% lived in areas with very low SVI; in mid-childhood, 30.6% lived in areas with very high COI and 28.4% lived in areas with very low SVI. Linear mixed-effects models revealed that at every life stage, children who resided in areas with higher COI (vs very low COI) had lower mean BMI trajectories and lower risk of obesity from childhood to adolescence, independent of family sociodemographic and prenatal characteristics. For example, among children with obesity at age 10 years, the risk ratio was 0.21 (95% CI, 0.12-0.34) for very high COI at birth, 0.31 (95% CI, 0.20-0.51) for high COI at birth, 0.46 (95% CI, 0.28-0.74) for moderate COI at birth, and 0.53 (95% CI, 0.32-0.86) for low COI at birth. Similar patterns of findings were observed for children who resided in areas with lower SVI (vs very high SVI). For example, among children with obesity at age 10 years, the risk ratio was 0.17 (95% CI, 0.10-0.30) for very low SVI at birth, 0.20 (95% CI, 0.11-0.35) for low SVI at birth, 0.42 (95% CI, 0.24-0.75) for moderate SVI at birth, and 0.43 (95% CI, 0.24-0.76) for high SVI at birth. For both indices, effect estimates for mean BMI difference and obesity risk were larger at an older age of outcome measurement. In addition, exposure to COI or SVI at birth was associated with the most substantial difference in subsequent mean BMI and risk of obesity compared with exposure at later life stages. Conclusions and Relevance In this cohort study, residing in higher-opportunity and lower-vulnerability neighborhoods in early life, especially at birth, was associated with a lower mean BMI trajectory and a lower risk of obesity from childhood to adolescence. Future research should clarify whether initiatives or policies that alter specific components of neighborhood environment would be beneficial in preventing excess weight in children.
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Affiliation(s)
- Izzuddin M. Aris
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | - Wei Perng
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora
| | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora
| | - Amy M. Padula
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, San Francisco
| | - Akram Alshawabkeh
- Department of Civil and Environmental Engineering, Northeastern University, Boston, Massachusetts
| | - Carmen M. Vélez-Vega
- UPR Medical Sciences Campus, University of Puerto Rico Graduate School of Public Health, San Juan
| | - Judy L. Aschner
- Department of Pediatrics, Hackensack Meridian School of Medicine, Nutley, New Jersey
- Department of Pediatrics, Albert Einstein College of Medicine, New York, New York
| | - Carlos A. Camargo
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
- Department of Emergency Medicine, Massachusetts General Hospital, Boston
| | - Tamara J. Sussman
- Department of Psychiatry, Columbia University and New York State Psychiatric Institute, New York, New York
| | - Anne L. Dunlop
- Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, Georgia
| | - Amy J. Elliott
- Avera Research Institute, Sioux Falls, South Dakota
- Department of Pediatrics, University of South Dakota School of Medicine, Sioux Falls
| | - Assiamira Ferrara
- Division of Research, Kaiser Permanente Northern California, Oakland
| | - Yeyi Zhu
- Division of Research, Kaiser Permanente Northern California, Oakland
| | | | - Anne Marie Singh
- Division of Allergy, Immunology and Rheumatology, University of Wisconsin–Madison, Madison
| | - Tina Hartert
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Ferdinand Cacho
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Margaret R. Karagas
- Department of Epidemiology, Dartmouth Geisel School of Medicine, Hanover, New Hampshire
| | - Tiffany North-Reid
- Department of Epidemiology, Dartmouth Geisel School of Medicine, Hanover, New Hampshire
| | - Barry M. Lester
- Department of Pediatrics, Warren Alpert Medical School of Brown University, Providence, Rhode Island
| | - Nichole R. Kelly
- Department of Counseling Psychology and Human Services, Prevention Science Institute, University of Oregon, Eugene
| | - Jody M. Ganiban
- Department of Psychological and Brain Sciences, George Washington University, Washington, District of Columbia
| | - Su H. Chu
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | | | - Rebecca C. Fry
- Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina, Chapel Hill
| | - Gwendolyn Norman
- Institute for Environmental Health Sciences, Wayne State University School of Medicine, Detroit, Michigan
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan
| | - Leonardo Trasande
- Department of Pediatrics, New York University Grossman School of Medicine, New York
| | - Bibiana Restrepo
- Department of Pediatrics, University of California Davis School of Medicine, Sacramento
- MIND Institute, University of California Davis, Sacramento, California
| | - Peter James
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
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9
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Cheema S, Abraham A, El-Nahas KG, Abou-Amona R, Al-Hamaq AO, Maisonneuve P, Chaabna K, Lowenfels AB, Mamtani R. Assessment of Overweight, Obesity, Central Obesity, and Type 2 Diabetes among Adolescents in Qatar: A Cross-Sectional Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:14601. [PMID: 36361482 PMCID: PMC9653877 DOI: 10.3390/ijerph192114601] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 10/31/2022] [Accepted: 11/02/2022] [Indexed: 06/16/2023]
Abstract
Qatar has a high obesity and type 2 diabetes mellitus (T2DM) burden. This study aimed to (1) determine the prevalence of overweight, obesity, and T2DM in 13-17-year-old adolescents and (2) evaluate associations with adolescents' lifestyle and breastfeeding history, parental weight, and familial T2DM history. A cross-sectional study (double-stage cluster sampling) was conducted in 2018-2020 using a self-administered parental and adolescent questionnaire. In the results, 23.4% of the adolescents (107/459) were overweight; 19.9% (91/459) were obese; and 37.6% (171/459) had evidence of central obesity. Random blood sugar (RBS) was suggestive of prediabetes (≥140 mg/dL) for 23 (5.0%) adolescents and T2DM (≥200 mg/dL) for none. In multivariable analysis, obesity was significantly associated with no breastfeeding (OR = 3.17, 95% CI: 1.09-9.26) compared to breastfed adolescents for ≥6 months, with first-degree family history of T2DM (OR = 2.27; 95% CI: 1.22-4.27), with maternal obesity (OR = 2.40; 95% CI: 1.01-5.70), and with acanthosis nigricans in adolescents (OR = 19.8; 95% CI: 8.38-46.9). Central obesity was significantly associated with maternal obesity (OR = 2.21; 95% CI: 1.14-4.27) and with acanthosis nigricans (OR = 3.67; 95% CI: 1.88-7.18). Acanthosis nigricans (OR = 4.06; 95% CI: 1.41-11.7) was the only factor associated with elevated RBS. Addressing future disease burden among adults in Qatar will require extensive health and well-being programs, focused on healthy lifestyles and behaviors such as nutritious diets, physical activity, stress management, and self-care.
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Affiliation(s)
- Sohaila Cheema
- Institute for Population Health, Weill Cornell Medicine-Qatar, Education City, Qatar Foundation, Doha P.O. Box 24144, Qatar
| | - Amit Abraham
- Institute for Population Health, Weill Cornell Medicine-Qatar, Education City, Qatar Foundation, Doha P.O. Box 24144, Qatar
| | | | | | | | - Patrick Maisonneuve
- Division of Epidemiology and Biostatistics, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy
| | - Karima Chaabna
- Institute for Population Health, Weill Cornell Medicine-Qatar, Education City, Qatar Foundation, Doha P.O. Box 24144, Qatar
| | - Albert B. Lowenfels
- Department of Surgery and Department of Family Medicine, New York Medical College, Valhalla, New York, NY 10595, USA
| | - Ravinder Mamtani
- Institute for Population Health, Weill Cornell Medicine-Qatar, Education City, Qatar Foundation, Doha P.O. Box 24144, Qatar
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10
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Cissé AH, Taine M, Tafflet M, de Lauzon‐Guillain B, Clément K, Khalfallah O, Davidovic L, Lioret S, Charles MA, Heude B. Cord blood leptin level and a common variant of its receptor as determinants of the BMI trajectory: The EDEN mother-child cohort. Pediatr Obes 2022; 17:e12955. [PMID: 35747935 PMCID: PMC9787343 DOI: 10.1111/ijpo.12955] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 05/24/2022] [Accepted: 06/01/2022] [Indexed: 12/30/2022]
Abstract
BACKGROUND Cord blood leptin is an indicator of neonatal fat mass and could shape postnatal adiposity trajectories. Investigating genetic polymorphisms of the leptin receptor gene (LEPR) could help understand the mechanisms involved. OBJECTIVES We aimed to investigate the association of cord blood leptin level and the LEPR rs9436303 polymorphism, with body mass index (BMI) at adiposity peak (AP) and age at adiposity rebound (AR). METHODS In the EDEN cohort, BMI at AP and age at AR were estimated with polynomial mixed models, for 1713 and 1415 children, respectively. Multivariable linear regression models allowed for examining the associations of cord blood leptin level and LEPR rs9436303 genotype with BMI at AP and age at AR adjusted for potential confounders including birth size groups. We also tested interactions between cord blood leptin level and rs9436303 genotype. RESULTS Increased leptin level was associated with reduced BMI at AP and early age at AR (comparing the highest quintile of leptin level to the others). Rs9436303 G-allele carriage was associated with increased BMI at AP and later age at AR but did not modulate the association with leptin level. CONCLUSION These results illustrate the role of early life body composition and the intrauterine environment in the programming of adiposity in childhood.
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Affiliation(s)
- Aminata H. Cissé
- Centre for Research in Epidemiology and StatisticSUniversité de Paris‐cité, INSERM, INRAEParisFrance
| | - Marion Taine
- Centre for Research in Epidemiology and StatisticSUniversité de Paris‐cité, INSERM, INRAEParisFrance
| | - Muriel Tafflet
- Centre for Research in Epidemiology and StatisticSUniversité de Paris‐cité, INSERM, INRAEParisFrance
| | | | - Karine Clément
- NutriOmics Research Unit, Assistance Publique‐Hôpitaux de Paris, Pitié‐Salpêtrière Hopital, Nutrition Department ParisSorbonne Université, INSERMParisFrance
| | - Olfa Khalfallah
- Institut de Pharmacologie Moléculaire et Cellulaire, CNRS, INSERM, Université Nice Côte d'Azur, UMR7275, UMR_SValbonneFrance
| | - Laetitia Davidovic
- Institut de Pharmacologie Moléculaire et Cellulaire, CNRS, INSERM, Université Nice Côte d'Azur, UMR7275, UMR_SValbonneFrance
| | - Sandrine Lioret
- Centre for Research in Epidemiology and StatisticSUniversité de Paris‐cité, INSERM, INRAEParisFrance
| | - Marie A. Charles
- Centre for Research in Epidemiology and StatisticSUniversité de Paris‐cité, INSERM, INRAEParisFrance
| | - Barbara Heude
- Centre for Research in Epidemiology and StatisticSUniversité de Paris‐cité, INSERM, INRAEParisFrance
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11
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Titmuss A, Longmore DK, Barzi F, Barr ELM, Webster V, Wood A, Simmonds A, Brown ADH, Connors C, Boyle JA, Oats J, McIntyre HD, Shaw JE, Craig ME, Maple‐Brown LJ. Association between hyperglycaemia in pregnancy and growth of offspring in early childhood: The PANDORA study. Pediatr Obes 2022; 17:e12932. [PMID: 35644889 PMCID: PMC9539556 DOI: 10.1111/ijpo.12932] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Accepted: 05/09/2022] [Indexed: 12/04/2022]
Abstract
BACKGROUND Few studies have assessed whether children exposed to in utero hyperglycaemia experience different growth trajectories compared to unexposed children. OBJECTIVES To assess association of type 2 diabetes (T2D) and gestational diabetes mellitus (GDM) with early childhood weight, length/height and body mass index (BMI) trajectories, and with timing and magnitude of peak BMI in infancy. METHODS PANDORA is a birth cohort recruited from an Australian hyperglycaemia in pregnancy register, and women with normoglycaemia recruited from the community. Offspring growth measures were obtained from health records over a median follow-up of 3.0 years (interquartile range 1.9-4.0). This analysis included children born to Aboriginal mothers with in utero normoglycaemia (n = 95), GDM (n = 228) or T2D (n = 131). Growth trajectories (weight, length/height and BMI) were estimated using linear mixed models with cubic spline functions of child age. RESULTS After adjustment for maternal factors (age, BMI, parity, smoking, and socioeconomic measures) and child factors (age, gestational age at birth, and sex), children born to mothers with T2D or GDM had lower weight, length/height and BMI trajectories in infancy than children born to mothers with normoglycaemia, but similar weight and BMI by completion of follow-up. Children exposed to T2D had lower mean peak BMI 17.6 kg/m2 (95% confidence interval [CI] 17.3-18.0) than children exposed to normoglycaemia (18.6 kg/m2 [18.1-18.9]) (p = 0.001). CONCLUSIONS Maternal hyperglycaemia was associated with differences in early childhood growth trajectories after adjustment for maternal BMI. Exploration of associations between in utero hyperglycaemia exposure and growth trajectories into later childhood is required.
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Affiliation(s)
- Angela Titmuss
- Wellbeing and Preventable Chronic Diseases DivisionMenzies School of Health Research, Charles Darwin UniversityDarwinNorthern TerritoryAustralia,Department of Paediatrics, Division of Women, Children and YouthRoyal Darwin HospitalDarwinNorthern TerritoryAustralia
| | - Danielle K. Longmore
- Wellbeing and Preventable Chronic Diseases DivisionMenzies School of Health Research, Charles Darwin UniversityDarwinNorthern TerritoryAustralia
| | - Federica Barzi
- Wellbeing and Preventable Chronic Diseases DivisionMenzies School of Health Research, Charles Darwin UniversityDarwinNorthern TerritoryAustralia,Poche Centre for Indigenous HealthUniversity of QueenslandBrisbaneQueenslandAustralia
| | - Elizabeth L. M. Barr
- Wellbeing and Preventable Chronic Diseases DivisionMenzies School of Health Research, Charles Darwin UniversityDarwinNorthern TerritoryAustralia,Clinical and Population HealthBaker Heart and Diabetes InstituteMelbourneVictoriaAustralia
| | - Vanya Webster
- Wellbeing and Preventable Chronic Diseases DivisionMenzies School of Health Research, Charles Darwin UniversityDarwinNorthern TerritoryAustralia
| | - Anna Wood
- Wellbeing and Preventable Chronic Diseases DivisionMenzies School of Health Research, Charles Darwin UniversityDarwinNorthern TerritoryAustralia,Endocrinology Department, Division of MedicineRoyal Darwin HospitalDarwinNorthern TerritoryAustralia
| | - Alison Simmonds
- Wellbeing and Preventable Chronic Diseases DivisionMenzies School of Health Research, Charles Darwin UniversityDarwinNorthern TerritoryAustralia
| | - Alex D. H. Brown
- Wardliparingga Aboriginal Research UnitSouth Australian Health and Medical Research InstituteAdelaideSouth AustraliaAustralia,Faculty of Health and Medical ScienceUniversity of AdelaideAdelaideSouth AustraliaAustralia
| | - Christine Connors
- Top End Health ServiceNorthern Territory Department of HealthDarwinNorthern TerritoryAustralia
| | - Jacqueline A. Boyle
- Wellbeing and Preventable Chronic Diseases DivisionMenzies School of Health Research, Charles Darwin UniversityDarwinNorthern TerritoryAustralia,Monash Centre for Health Research and ImplementationSchool of Public Health and Preventive Medicine, Monash UniversityMelbourneVictoriaAustralia
| | - Jeremy Oats
- Melbourne School of Population and Global HealthUniversity of MelbourneMelbourneVictoriaAustralia
| | - H. David McIntyre
- Faculty of MedicineMater Medical Research Institute, University of QueenslandBrisbaneQueenslandAustralia
| | - Jonathan E. Shaw
- Clinical and Population HealthBaker Heart and Diabetes InstituteMelbourneVictoriaAustralia
| | - Maria E. Craig
- School of Women and Children's HealthUniversity of New South WalesSydneyNew South WalesAustralia
| | - Louise J. Maple‐Brown
- Wellbeing and Preventable Chronic Diseases DivisionMenzies School of Health Research, Charles Darwin UniversityDarwinNorthern TerritoryAustralia,Endocrinology Department, Division of MedicineRoyal Darwin HospitalDarwinNorthern TerritoryAustralia
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12
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Zhang S, Zhou J, Yang M, Zhang F, Tao X, Tao F, Huang K. Sex-specific association between elective cesarean section and growth trajectories in preschool children: A prospective birth cohort study. Front Public Health 2022; 10:985851. [PMID: 36203696 PMCID: PMC9530938 DOI: 10.3389/fpubh.2022.985851] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Accepted: 08/25/2022] [Indexed: 01/25/2023] Open
Abstract
Background Elective cesarean section (ECS) primarily contributes to the rising cesarean section (CS) rate, and much attention has been attracted to its health consequences. The association between ECS and overweight and obesity in children has been controversial, and few studies distinguished ECS with medical indications from those without indications. Based on a large sample birth cohort, we aim to examine the association of ECS with or without medical indications on children's physical development by using repeated anthropometric data from birth to 6 years of age. Methods A total of 2304 mother-child pairs with complete data on delivery mode and children's anthropometric measurements were recruited from the Ma'anshan-Anhui Birth Cohort (MABC) in China. ECS was the main exposure in this study, and the primary outcomes were children's growth trajectories and early adiposity rebound (AR). Children's BMI trajectories were fitted by using group-based trajectory models and fractional polynomial mixed-effects models. The association between ECS and children's growth trajectories and early AR was performed using multiple logistic regression models. Results Among 2,304 mother-child pairs (1199 boys and 1105 girls), 1088 (47.2%) children were born by CS, including 61 (5.6%) emergency CS, 441 (40.5%) ECS with medical indications, and 586 (53.9%) ECS without medical indications. After adjusting for potential confounders, it was found that ECS with medical indications was associated with a "high level" of BMI trajectory (OR = 1.776; 95% CI: 1.010-3.123), and ECS without medical indications was associated with early AR (OR = 1.517; 95% CI: 1.123-2.050) in girls. In boys, we found that ECS without medical indications was unlikely to experience an accelerated growth trajectory (OR = 0.484; 95%CI: 0.244-0.959). Conclusions ECS may be related to girls' "high level" BMI trajectories and early AR. If causal, the findings will provide an evidence-based reference for early life interventions for childhood obesity.
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Affiliation(s)
- Shanshan Zhang
- Department of Maternal, Child & Adolescent Health, School of Public Health, Anhui Medical University, Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, NHC Key Laboratory of Study on Abnormal gametes and Reproductive Tract, Anhui Provincial Key Laboratory of Population Health and Aristogenics, Hefei, China
| | - Jixing Zhou
- Department of Maternal, Child & Adolescent Health, School of Public Health, Anhui Medical University, Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, NHC Key Laboratory of Study on Abnormal gametes and Reproductive Tract, Anhui Provincial Key Laboratory of Population Health and Aristogenics, Hefei, China
| | - Mengting Yang
- Department of Maternal, Child & Adolescent Health, School of Public Health, Anhui Medical University, Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, NHC Key Laboratory of Study on Abnormal gametes and Reproductive Tract, Anhui Provincial Key Laboratory of Population Health and Aristogenics, Hefei, China
| | - Fu Zhang
- Department of Maternal, Child & Adolescent Health, School of Public Health, Anhui Medical University, Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, NHC Key Laboratory of Study on Abnormal gametes and Reproductive Tract, Anhui Provincial Key Laboratory of Population Health and Aristogenics, Hefei, China
| | - Xingyong Tao
- Department of Maternal, Child & Adolescent Health, School of Public Health, Anhui Medical University, Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, NHC Key Laboratory of Study on Abnormal gametes and Reproductive Tract, Anhui Provincial Key Laboratory of Population Health and Aristogenics, Hefei, China
| | - Fangbiao Tao
- Department of Maternal, Child & Adolescent Health, School of Public Health, Anhui Medical University, Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, NHC Key Laboratory of Study on Abnormal gametes and Reproductive Tract, Anhui Provincial Key Laboratory of Population Health and Aristogenics, Hefei, China
| | - Kun Huang
- Department of Maternal, Child & Adolescent Health, School of Public Health, Anhui Medical University, Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, NHC Key Laboratory of Study on Abnormal gametes and Reproductive Tract, Anhui Provincial Key Laboratory of Population Health and Aristogenics, Hefei, China,Scientific Research Center in Preventive Medicine, School of Public Health, Anhui Medical University, Hefei, China,*Correspondence: Kun Huang
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13
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Lin D, Chen DD, Huang J, Li Y, Wen XS, Shi HJ. Longitudinal association between the timing of adiposity peak and rebound and overweight at seven years of age. BMC Pediatr 2022; 22:215. [PMID: 35439975 PMCID: PMC9016949 DOI: 10.1186/s12887-022-03190-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Accepted: 03/04/2022] [Indexed: 11/23/2022] Open
Abstract
Background The timing of adiposity peak (AP) or adiposity rebound (AR) is a determinant of overweight or obesity in adolescence and adulthood. However, limited studies have reported the association in young school-age children. We aimed to evaluate this association and explore the role of health behaviours in it. Methods Routinely collected, sequential, anthropometric data from the 1st to 80th months of age were used to estimate AP and AR timings in 2330 children born in Shanghai between 2010 and 2013. Multivariate regression analyses were applied to identify the associations between the AP or AR timings and the risk of developing overweight or obesity in first-grade school children. The roles of health behaviours, including dietary patterns, physical activity level, sleep and snacking habits, and screen time, were also evaluated. Results Children with a late AP or an early AR were at higher risk of overweight but not obesity or central obesity in their first grade. A high physical activity level was associated with a lower risk of having overweight in children with a late AP, and limited screen time was associated with a decreased risk of having overweight or obesity in children with an early AR. The absence of a late-night snacking habit in children with a non-early AR indicated a decreased risk of having overweight. However, this association was not observed among children with an early AR. Conclusion The timings of AP and AR are tied to overweight in middle childhood. Prevention strategies are suggested to move forward to control late AP and early AR. Supplementary Information The online version contains supplementary material available at 10.1186/s12887-022-03190-9.
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Affiliation(s)
- Dan Lin
- Department of Maternal, Child and Adolescent Health, School of Public Health, Fudan University, Shanghai, China
| | - Di-di Chen
- Minhang District Centre of Disease Control and Prevention, Shanghai, China.,Minhang Branch, School of Public Health, Fudan University, Shanghai, China
| | - Jun Huang
- Minhang Maternal and Child Health Centre, Shanghai, China
| | - Yun Li
- Minhang Maternal and Child Health Centre, Shanghai, China
| | - Xiao-Sa Wen
- Minhang District Centre of Disease Control and Prevention, Shanghai, China.,Minhang Branch, School of Public Health, Fudan University, Shanghai, China
| | - Hui-Jing Shi
- Department of Maternal, Child and Adolescent Health, School of Public Health, Fudan University, Shanghai, China.
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14
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Gao H, Wang YF, Wang ZW, Wang Y, Tao FB. Prenatal phthalate exposure associated with age-specific alterations in markers of adiposity in offspring: A systematic review. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2022; 232:113247. [PMID: 35093812 DOI: 10.1016/j.ecoenv.2022.113247] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Revised: 01/23/2022] [Accepted: 01/24/2022] [Indexed: 06/14/2023]
Abstract
Childhood obesity and metabolic disorders are of concern and are public health problems globally. Environmental endocrine disruptors, including phthalates, are well known as "obesogens" and "metabolic disruptors". Several studies have investigated the relationships between prenatal phthalate exposure and childhood obesity with inconsistent conclusions. Given the child growth trajectory/pattern as a possible early marker of metabolic disorders, we aimed to assess the effect of prenatal phthalate exposure on offspring growth trajectory. A systematic literature search was conducted using MEDLINE (accessed through PubMed), Web of Science, and CNKI (Chinese National Knowledge Infrastructure) until July 2021. We evaluated the risk of bias for adherence to the prespecified criteria. Fourteen eligible articles were finally included in this systematic review according to the defined PECOS statement. The risk of bias of the included studies was "low" or "probably low", and few were "probably high" and "high". These studies were mostly carried out in the United States (N = 6); others were conducted in China (N = 2), Mexico (N = 2), France (N = 1), Spain (N = 1), Greece (N = 1), and Australia (N = 1) and published from 2015 to 2021. The combined subjects of the 14 studies were 10,396 mother-child pairs. Except for 3 studies not reporting the sex ratio, at least 4001 boys and 3366 girls were included. For the association of prenatal phthalate exposure with an absolute adiposity marker (at a specific visit timepoint), only a few studies were using the same obesity marker as the outcome endpoint and using the same statistical method to explore their associations. However, MEP appeared to be positively associated with several obesity markers, such as the absolute BMI z score, weight-for-age z score, waist circumference, and overweight status. For the association of prenatal phthalate exposure with a repeated measurement of the adiposity marker over the age range, neither associations of adiposity markers with a specific phthalate metabolite nor relationships of a specific adiposity marker with prenatal phthalate exposure were of a consistent result. All four articles reported that phthalate metabolite exposure during pregnancy was associated with children's growth trajectory. Three suggested a sex-specific association between prenatal phthalate exposure and obesity trajectory. In conclusion, the current articles did not show any relationship between prenatal phthalate exposure and children's age-specific outcomes, except for positive associations of prenatal MEP exposure with absolute adiposity markers. However, epidemiological data supported a weak relationship between prenatal phthalate exposure and children's obesity trajectory in a sex-specific manner.
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Affiliation(s)
- Hui Gao
- Department of Pediatrics, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, Anhui, China; MOE Key Laboratory of Population Health Across Life Cycle, Hefei 230032, Anhui, China.
| | - Ya-Fei Wang
- Nursing Department, Anhui Medical College, Hefei 230601, Anhui, China
| | - Zi-Wei Wang
- Department of Pediatrics, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, Anhui, China
| | - Yue Wang
- Department of Pediatrics, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, Anhui, China
| | - Fang-Biao Tao
- MOE Key Laboratory of Population Health Across Life Cycle, Hefei 230032, Anhui, China.
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15
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Infant feeding practices associated with adiposity peak and rebound in the EDEN mother-child cohort. Int J Obes (Lond) 2022; 46:809-816. [PMID: 34980907 DOI: 10.1038/s41366-021-01059-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Revised: 12/01/2021] [Accepted: 12/21/2021] [Indexed: 11/08/2022]
Abstract
BACKGROUND/OBJECTIVE High magnitude of adiposity peak and early adiposity rebound are early risk markers of later obesity. Infant diet represents one of the main modifiable determinants of early growth. This study aimed to investigate the association between infant feeding practices and age and magnitude of adiposity peak and rebound. SUBJECTS/METHODS Analyses were based on data from the French EDEN mother-child cohort. Data on breastfeeding and complementary feeding were collected at birth and 4, 8, and 12 months. From clinical examinations and measurements collected in the child's health booklet up to 12 years, individual growth curves were modeled, and ages and magnitudes of adiposity peak and rebound were estimated. Associations between infant feeding practices and growth were investigated by multivariable linear regression in children after testing a child-sex interaction. RESULTS In the studied population (n = 1225), adiposity peak occurred at a mean of 9.9 ± 2 months and adiposity rebound at 5.5 ± 1.4 years. Associations between infant feeding practices and adiposity peak or rebound were moderated by child sex. For girls, each additional month of breastfeeding was related to a 2-day increase in the age at adiposity peak (p < 0.001), and an 18-day increase in the age at adiposity peak (p = 0.004). Whereas for boys, each additional month for the age at complementary food introduction was associated with a 29-day increase in the age at adiposity rebound (p = 0.02). For boys, long breastfeeding duration was only related to reduced body mass index at adiposity peak. CONCLUSIONS Child sex has a moderating effect on the association between infant feeding practices and adiposity peak or rebound. The well-known association between breastfeeding duration and early growth seems stronger in girls than boys. The association found for complementary feeding in boys may give new insights into preventing obesity.
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16
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Yan S, Lyu J, Liu Z, Zhou S, Ji Y, Wang H. Association of gestational hypertension and preeclampsia with offspring adiposity: A systematic review and meta-analysis. Front Endocrinol (Lausanne) 2022; 13:906781. [PMID: 36082079 PMCID: PMC9445980 DOI: 10.3389/fendo.2022.906781] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 08/03/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND The association of gestational hypertension (GH) and preeclampsia (PE) with offspring adiposity outcomes had controversial results in different studies. OBJECTIVE We conducted a systematic review and meta-analysis to evaluate the relationship between maternal GH/PE and offspring adiposity outcomes. SEARCH STRATEGY Studies were identified in PubMed, Embase, and Cochrane databases, with keywords including "gestational hypertension", "preeclampsia", "offspring", "weight", "cohort study", etc., without year restriction. This study was registered with PROSPERO, CRD42022292084. SELECTION CRITERIA We set the selection criteria for six aspects: population, outcome, time frame, study design, and availability. For the studies included in the meta-analysis, we required the potential confounders in these studies have been adjusted. DATA COLLECTION AND ANALYSIS Two reviewers independently evaluated the data from the included studies. The meta-analyses included mean differences, regression coefficients, and corresponding 95% confidence intervals. Results were performed using RevMan software (version 5.4; Cochrane Collaboration). Heterogeneity among the included studies was assessed using the I2 statistic. MAIN RESULTS A total of 16 studies were included in our review, 15 of which were evaluated as high quality. In all offspring, during the early life (28 days-36 months), GH/PE exposure was found to be not or inversely associated with offspring obesity, then become positively associated at larger ages (3-19 years old). In offspring with adverse birth outcomes, the maternal GH/PE-exposed group had a lower weight in the short term (28 days to 18 months), but there was a trend of rapid weight gain as they grew older, compared with the non-exposed group. The meta-analysis showed that the BMI of the female offspring in the maternal PE-exposed group was significantly higher than that of the non-exposed offspring (MD=1.04, 95% CI: 0.67~1.42, P < 0.05). CONCLUSIONS The systematic review suggested that maternal exposure to de novo hypertension disorders of pregnancy (HDP) was associated with obesity in offspring, extending from early childhood to adolescence. The meta-analysis showed that PE was associated with higher BMI in female offspring. More studies are needed to conduct stratified analyses by PE/GH, the severity of HDP, or gender. SYSTEMATIC REVIEW REGISTRATION PROSPERO, identifier CRD42022292084.
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Affiliation(s)
- Shiyu Yan
- School of Public Health, Zhejiang University Medical School, Hangzhou, China
| | - Jinlang Lyu
- Department of Maternal and Child Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, Beijing, China
| | - Zheng Liu
- Department of Maternal and Child Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, Beijing, China
| | - Shuang Zhou
- Department of Maternal and Child Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, Beijing, China
| | - Yuelong Ji
- Department of Maternal and Child Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, Beijing, China
- *Correspondence: Haijun Wang, ; Yuelong Ji,
| | - Haijun Wang
- Department of Maternal and Child Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, Beijing, China
- *Correspondence: Haijun Wang, ; Yuelong Ji,
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17
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Azzolino D, Spolidoro GCI, Saporiti E, Luchetti C, Agostoni C, Cesari M. Musculoskeletal Changes Across the Lifespan: Nutrition and the Life-Course Approach to Prevention. Front Med (Lausanne) 2021; 8:697954. [PMID: 34532328 PMCID: PMC8438318 DOI: 10.3389/fmed.2021.697954] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Accepted: 07/22/2021] [Indexed: 12/12/2022] Open
Abstract
Aging is characterized by the progressive decline of muscle mass and function, the so-called sarcopenia. Also bone loss is widespread among older people. Sarcopenia and osteopenia/osteoporosis are associated with several adverse outcomes including falls, risk of fractures, functional decline, frailty, and mortality. Recently, the life-course approach to prevent or delay functional decline has become very popular. Regarding musculoskeletal health, there is suggestive evidence that acting during critical or sensitive periods of life in which each person build-up its biological reserves may influence the rate of functional decline in the later stages of life. A life-course approach to musculoskeletal health should take place during early life when plasticity allows more easily the attainment of the peak of the musculoskeletal system driven by environmental stimuli. The rate of the subsequent decline will depend on the peak previously reached. Nutrition and physical exercise are important environmental factors that can influence musculoskeletal development by favoring and maintaining peak bone and muscle mass and strength. Here we provide an overview of body composition changes occurring across the lifespan and strategies based on nutrition and physical exercise to support musculoskeletal health as well as minimizing losses during older life.
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Affiliation(s)
- Domenico Azzolino
- Department of Clinical and Community Sciences, University of Milan, Milan, Italy.,Geriatric Unit, IRCCS Istituti Clinici Scientifici Maugeri, Milan, Italy
| | | | - Edoardo Saporiti
- Specialization School in Geriatrics, University of Milan, Milan, Italy
| | - Costanza Luchetti
- Specialization School in Geriatrics, University of Milan, Milan, Italy
| | - Carlo Agostoni
- Department of Clinical and Community Sciences, University of Milan, Milan, Italy.,Pediatric Intermediate Care Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Matteo Cesari
- Department of Clinical and Community Sciences, University of Milan, Milan, Italy.,Geriatric Unit, IRCCS Istituti Clinici Scientifici Maugeri, Milan, Italy
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18
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Janis JA, Rifas-Shiman SL, Seshasayee SM, Sagiv S, Calafat AM, Gold DR, Coull BA, Rosen CJ, Oken E, Fleisch AF. Plasma Concentrations of Per- and Polyfluoroalkyl Substances and Body Composition From Mid-Childhood to Early Adolescence. J Clin Endocrinol Metab 2021; 106:e3760-e3770. [PMID: 33740056 PMCID: PMC8372642 DOI: 10.1210/clinem/dgab187] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Indexed: 01/12/2023]
Abstract
CONTEXT Per- and polyfluoroalkyl substances (PFAS) may alter body composition by lowering anabolic hormones and increasing inflammation, but data are limited, particularly in adolescence when body composition is rapidly changing. OBJECTIVE To evaluate associations of PFAS plasma concentrations in childhood with change in body composition through early adolescence. METHODS A total of 537 children in the Boston-area Project Viva cohort participated in this study. We used multivariable linear regression and Bayesian kernel machine regression (BKMR) to examine associations of plasma concentrations of 6 PFAS, quantified by mass spectrometry, in mid-childhood (mean age, 7.9 years; 2007-2010) with change in body composition measured by dual-energy x-ray absorptiometry from mid-childhood to early adolescence (mean age, 13.1 years). RESULTS In single-PFAS linear regression models, children with higher concentrations of perfluorooctanoate (PFOA), perfluorooctane sulfonate (PFOS), perfluorodecanoate (PFDA), and perfluorohexane sulfonate (PFHxS) had less accrual of lean mass (eg, -0.33 [95% CI: -0.52, -0.13] kg/m2 per doubling of PFOA). Children with higher PFOS and PFHxS had less accrual of total and truncal fat mass (eg, -0.32 [95% CI: -0.54, -0.11] kg/m2 total fat mass per doubling of PFOS), particularly subcutaneous fat mass (eg, -17.26 [95% CI -32.25, -2.27] g/m2 per doubling of PFOS). Children with higher PFDA and perfluorononanoate (PFNA) had greater accrual of visceral fat mass (eg, 0.44 [95% CI: 0.13, 0.75] g/m2 per doubling of PFDA). Results from BKMR mixture models were consistent with linear regression analyses. CONCLUSION Early life exposure to some but not all PFAS may be associated with adverse changes in body composition.
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Affiliation(s)
- Jaclyn A Janis
- Center for Outcomes Research and Evaluation, Maine Medical Center Research Institute, Portland, ME, USA
| | - Sheryl L Rifas-Shiman
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Shravanthi M Seshasayee
- Center for Outcomes Research and Evaluation, Maine Medical Center Research Institute, Portland, ME, USA
| | - Sharon Sagiv
- Center for Environmental Research and Children’s Health (CERCH), School of Public Health, University of California, Berkeley, CA, USA
| | | | - Diane R Gold
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Brent A Coull
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, 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, MA, USA
| | - Abby F Fleisch
- Center for Outcomes Research and Evaluation, Maine Medical Center Research Institute, Portland, ME, USA
- Pediatric Endocrinology and Diabetes, Maine Medical Center, Portland, ME, USA
- Correspondence: Abby F. Fleisch, MD, MPH, Center for Outcomes Research and Evaluation, 509 Forest Avenue, Suite 200, Portland, ME 04103, USA.
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19
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Janis JA, Rifas-Shiman SL, Seshasayee SM, Sagiv S, Calafat AM, Gold DR, Coull BA, Rosen CJ, Oken E, Fleisch AF. Plasma Concentrations of Per- and Polyfluoroalkyl Substances and Body Composition From Mid-Childhood to Early Adolescence. J Clin Endocrinol Metab 2021. [PMID: 33740056 DOI: 10.1210/clinem/dgab187(dgab187)] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/07/2023]
Abstract
CONTEXT Per- and polyfluoroalkyl substances (PFAS) may alter body composition by lowering anabolic hormones and increasing inflammation, but data are limited, particularly in adolescence when body composition is rapidly changing. OBJECTIVE To evaluate associations of PFAS plasma concentrations in childhood with change in body composition through early adolescence. METHODS A total of 537 children in the Boston-area Project Viva cohort participated in this study. We used multivariable linear regression and Bayesian kernel machine regression (BKMR) to examine associations of plasma concentrations of 6 PFAS, quantified by mass spectrometry, in mid-childhood (mean age, 7.9 years; 2007-2010) with change in body composition measured by dual-energy x-ray absorptiometry from mid-childhood to early adolescence (mean age, 13.1 years). RESULTS In single-PFAS linear regression models, children with higher concentrations of perfluorooctanoate (PFOA), perfluorooctane sulfonate (PFOS), perfluorodecanoate (PFDA), and perfluorohexane sulfonate (PFHxS) had less accrual of lean mass (eg, -0.33 [95% CI: -0.52, -0.13] kg/m2 per doubling of PFOA). Children with higher PFOS and PFHxS had less accrual of total and truncal fat mass (eg, -0.32 [95% CI: -0.54, -0.11] kg/m2 total fat mass per doubling of PFOS), particularly subcutaneous fat mass (eg, -17.26 [95% CI -32.25, -2.27] g/m2 per doubling of PFOS). Children with higher PFDA and perfluorononanoate (PFNA) had greater accrual of visceral fat mass (eg, 0.44 [95% CI: 0.13, 0.75] g/m2 per doubling of PFDA). Results from BKMR mixture models were consistent with linear regression analyses. CONCLUSION Early life exposure to some but not all PFAS may be associated with adverse changes in body composition.
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Affiliation(s)
- Jaclyn A Janis
- Center for Outcomes Research and Evaluation, Maine Medical Center Research Institute, Portland, ME, USA
| | - Sheryl L Rifas-Shiman
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Shravanthi M Seshasayee
- Center for Outcomes Research and Evaluation, Maine Medical Center Research Institute, Portland, ME, USA
| | - Sharon Sagiv
- Center for Environmental Research and Children's Health (CERCH), School of Public Health, University of California, Berkeley, CA, USA
| | | | - Diane R Gold
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Brent A Coull
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, 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, MA, USA
| | - Abby F Fleisch
- Center for Outcomes Research and Evaluation, Maine Medical Center Research Institute, Portland, ME, USA
- Pediatric Endocrinology and Diabetes, Maine Medical Center, Portland, ME, USA
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20
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Aris IM, Sarvet AL, Stensrud MJ, Neugebauer R, Li LJ, Hivert MF, Oken E, Young JG. Separating Algorithms From Questions and Causal Inference With Unmeasured Exposures: An Application to Birth Cohort Studies of Early Body Mass Index Rebound. Am J Epidemiol 2021; 190:1414-1423. [PMID: 33565574 DOI: 10.1093/aje/kwab029] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Revised: 02/04/2021] [Accepted: 02/05/2021] [Indexed: 12/19/2022] Open
Abstract
Observational studies reporting on adjusted associations between childhood body mass index (BMI; weight (kg)/height (m)2) rebound and subsequent cardiometabolic outcomes have often not paid explicit attention to causal inference, including definition of a target causal effect and assumptions for unbiased estimation of that effect. Using data from 649 children in a Boston, Massachusetts-area cohort recruited in 1999-2002, we considered effects of stochastic interventions on a chosen subset of modifiable yet unmeasured exposures expected to be associated with early (<age 4 years) BMI rebound (a proxy measure) on adolescent cardiometabolic outcomes. We considered assumptions under which these effects might be identified with available data. This leads to an analysis where the proxy, rather than the exposure, acts as the exposure in the algorithm. We applied targeted maximum likelihood estimation, a doubly robust approach that naturally incorporates machine learning for nuisance parameters (e.g., propensity score). We found a protective effect of an intervention that assigns modifiable exposures according to the distribution in the observational study of persons without (vs. with) early BMI rebound for fat mass index (fat mass (kg)/ height (m)2; -1.39 units, 95% confidence interval: -1.63, -0.72) but weaker or no effects for other cardiometabolic outcomes. Our results clarify distinctions between algorithms and causal questions, encouraging explicit thinking in causal inference with complex exposures.
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21
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Aris IM, Lin PID, Rifas-Shiman SL, Bailey LC, Boone-Heinonen J, Eneli IU, Solomonides AE, Janicke DM, Toh S, Forrest CB, Block JP. Association of Early Antibiotic Exposure With Childhood Body Mass Index Trajectory Milestones. JAMA Netw Open 2021; 4:e2116581. [PMID: 34251440 PMCID: PMC8276083 DOI: 10.1001/jamanetworkopen.2021.16581] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
IMPORTANCE Past studies have showed associations between antibiotic exposure and child weight outcomes. Few, however, have documented alterations to body mass index (BMI) (calculated as weight in kilograms divided by height in meters squared) trajectory milestone patterns during childhood after early-life antibiotic exposure. OBJECTIVE To examine the association of antibiotic use during the first 48 months of life with BMI trajectory milestones during childhood in a large cohort of children. DESIGN, SETTING, AND PARTICIPANTS This retrospective cohort study used electronic health record data from 26 institutions participating in the National Patient-Centered Clinical Research Network from January 1, 2009, to December 31, 2016. Participant inclusion required at least 1 valid set of same-day height and weight measurements at each of the following age periods: 0 to 5, 6 to 11, 12 to 23, 24 to 59, and 60 to 131 months (183 444 children). Data were analyzed from June 1, 2019, to June 30, 2020. EXPOSURES Antibiotic use at 0 to 5, 6 to 11, 12 to 23, 24 to 35, and 36 to 47 months of age. MAIN OUTCOMES AND MEASURES Age and magnitude of BMI peak and BMI rebound. RESULTS Of 183 444 children in the study (mean age, 3.3 years [range, 0-10.9 years]; 95 228 [51.9%] were boys; 80 043 [43.6%] were White individuals), 78.1% received any antibiotic, 51.0% had at least 1 episode of broad-spectrum antibiotic exposure, and 65.0% had at least 1 episode of narrow-spectrum antibiotic exposure at any time before 48 months of age. Exposure to any antibiotics at 0 to 5 months of age (vs no exposure) was associated with later age (β coefficient, 0.05 months [95% CI, 0.02-0.08 months]) and higher BMI (β coefficient, 0.09 [95% CI, 0.07-0.11]) at peak. Exposure to any antibiotics at 0 to 47 months of age (vs no exposure) was associated with an earlier age (-0.60 months [95% CI, -0.81 to -0.39 months]) and higher BMI at rebound (β coefficient, 0.02 [95% CI, 0.01-0.03]). These associations were strongest for children with at least 4 episodes of antibiotic exposure. Effect estimates for associations with age at BMI rebound were larger for those exposed to antibiotics at 24 to 35 months of age (β coefficient, -0.63 [95% CI, -0.83 to -0.43] months) or 36 to 47 (β coefficient, -0.52 [95% CI, -0.72 to -0.31] months) than for those exposed at 0 to 5 months of age (β coefficient, 0.26 [95% CI, 0.01-0.51] months) or 6 to 11 (β coefficient, 0.00 [95% CI, -0.20 to 0.20] months). CONCLUSIONS AND RELEVANCE In this cohort study, antibiotic exposure was associated with statistically significant, but small, differences in BMI trajectory milestones in infancy and early childhood. The small risk of an altered BMI trajectory milestone pattern associated with early-life antibiotic exposure is unlikely to be a key factor during prescription decisions for children.
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Affiliation(s)
- Izzuddin M. Aris
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | - Pi-I D. Lin
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | - Sheryl L. Rifas-Shiman
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | - L. Charles Bailey
- Applied Clinical Research Center, Department of Pediatrics, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | | | - Ihuoma U. Eneli
- Center for Healthy Weight and Nutrition, Nationwide Children’s Hospital, Columbus, Ohio
| | - Anthony E. Solomonides
- Center for Biomedical Research Informatics, NorthShore University Health System, Evanston, Illinois
| | - David M. Janicke
- Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville
| | - Sengwee Toh
- Division of Therapeutics Research and Infectious Disease Epidemiology, Department of Population Medicine, Harvard Pilgrim Health Care Institute, Harvard Medical School, Boston, Massachusetts
| | - Christopher B. Forrest
- Applied Clinical Research Center, Department of Pediatrics, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Jason P. Block
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
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22
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Monthé-Drèze C, Rifas-Shiman SL, Aris IM, Shivappa N, Hebert JR, Sen S, Oken E. Maternal diet in pregnancy is associated with differences in child body mass index trajectories from birth to adolescence. Am J Clin Nutr 2021; 113:895-904. [PMID: 33721014 PMCID: PMC8023853 DOI: 10.1093/ajcn/nqaa398] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Accepted: 11/24/2020] [Indexed: 01/06/2023] Open
Abstract
BACKGROUND Nutrition in pregnancy and accelerated childhood growth are important predictors of obesity risk. Yet, it is unknown which dietary patterns in pregnancy are associated with accelerated growth and whether there are specific periods from birth to adolescence that are most sensitive to these associations. OBJECTIVES To examine the extent to which 3 dietary indices in pregnancy [Dietary Inflammatory Index (DII), Alternate Healthy Eating Index for Pregnancy (AHEI-P), and Mediterranean Diet Score (MDS)] are associated with child BMI z-score (BMI-z) trajectories from birth to adolescence. METHODS We examined 1459 mother-child dyads from Project Viva that had FFQ data in pregnancy and ≥3 child BMI-z measurements between birth and adolescence. We used linear spline mixed-effects models to examine whether BMI-z growth rates and BMI z-scores differed by quartile of each dietary index from birth to 1 mo, 1-6 mo, 6 mo to 3 y, 3-10 y, and >10 y. RESULTS The means ± SDs for DII (range, -9 to +8 units), AHEI-P (range, 0-90 points), and MDS (range, 0-9 points) were -2.6 ± 1.4 units, 61 ± 10 points, and 4.6 ± 2.0 points, respectively. In adjusted models, children of women in the highest (vs. lowest) DII quartile had higher BMI-z growth rates between 3-10 y (β, 0.03 SD units/y; 95% CI: 0.00-0.06) and higher BMI z-scores from 7 y through 10 y. Children of women with low adherence to a Mediterranean diet had higher BMI z-scores from 3 y through 15 y. Associations of AHEI-P with growth rates and BMI z-scores from birth through adolescence were null. CONCLUSIONS A higher DII and a lower MDS in pregnancy, but not AHEI-P results, are associated with higher BMI-z trajectories during distinct growth periods from birth through adolescence. Identifying the specific dietary patterns in pregnancy associated with rapid weight gain in children could inform strategies to reduce child obesity.
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Affiliation(s)
| | - Sheryl L Rifas-Shiman
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Izzuddin M Aris
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Nitin Shivappa
- South Carolina Statewide Cancer Prevention and Control Program and Department of Epidemiology and Biostatistics, University of South Carolina, Columbia, SC, USA,Department of Nutrition, Connecting Health Innovations LLC, Columbia, SC, USA
| | - James R Hebert
- South Carolina Statewide Cancer Prevention and Control Program and Department of Epidemiology and Biostatistics, University of South Carolina, Columbia, SC, USA,Department of Nutrition, Connecting Health Innovations LLC, Columbia, SC, USA
| | - Sarbattama Sen
- Department of Pediatric Newborn Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 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, MA, USA
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23
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Lin D, Chen D, Huang J, Li Y, Wen X, Wang L, Shi H. Pre-Birth and Early-Life Factors Associated With the Timing of Adiposity Peak and Rebound: A Large Population-Based Longitudinal Study. Front Pediatr 2021; 9:742551. [PMID: 35004537 PMCID: PMC8727998 DOI: 10.3389/fped.2021.742551] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Accepted: 11/16/2021] [Indexed: 11/13/2022] Open
Abstract
Background: The late occurrence of adiposity peak (AP) and the early occurrence of adiposity rebound (AR) are considered the earliest indicators for obesity and its related health conditions later in life. However, there is still limited information for their upstream factors. Therefore, in this study, we aimed to identify the parental and child factors associated with the timing of AP and AR in the early stage of life. Methods: This is a population-based longitudinal study conducted in Shanghai, China. The BMI data of children born between September 2010 and October 2013 were followed from birth to 80 months. Subject-specific body mass index trajectories were fitted by non-linear mixed-effect models with natural cubic spline functions, and the individual's age at AP and AR was estimated. The generalized linear regression models were applied to identify the upstream factors of late occurrence of AP and early occurrence AR. Results: For 7,292 children with estimated AP, boys were less likely to have a late AP [adjusted risk ratio (RR) = 0.83, 95% confidence interval (CI): 0.77-0.90, p < 0.001], but preterm born children had a higher risk of a late AP (adjusted RR = 1.25, 95% CI: 1.07-1.47, p < 0.01). For 10,985 children with estimated AR, children with breastfeeding longer than 4 months were less likely to have an early AR (adjusted RR = 0.80, 95% CI: 0.73-0.87, p < 0.001), but children who were born to advanced-age mothers and who were born small for gestational age had a higher risk of having an early AR (adjusted RR = 1.21, 95% CI: 1.07-1.36, p < 0.01; adjusted RR = 1.20, 95% CI: 1.04-1.39, p = 0.01). Conclusions: Modifiable pre-birth or early-life factors associated with the timing of AP or AR were found. Our findings may help develop prevention and intervention strategies at the earliest stage of life to control later obesity and the health conditions and diseases linked to it.
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Affiliation(s)
- Dan Lin
- Department of Maternal, Child and Adolescent Health, School of Public Health, Fudan University, Shanghai, China
| | - Didi Chen
- Department of School Health, Minhang District Center of Disease Control and Prevention, Shanghai, China.,Minhang Branch, School of Public Health, Fudan University, Shanghai, China
| | - Jun Huang
- Department of Child Care, Minhang Maternal and Child Health Center, Shanghai, China
| | - Yun Li
- Department of Child Care, Minhang Maternal and Child Health Center, Shanghai, China
| | - Xiaosa Wen
- Department of School Health, Minhang District Center of Disease Control and Prevention, Shanghai, China.,Minhang Branch, School of Public Health, Fudan University, Shanghai, China
| | - Ling Wang
- Shanghai Medical College of Fudan University, Shanghai, China
| | - Huijing Shi
- Department of Maternal, Child and Adolescent Health, School of Public Health, Fudan University, Shanghai, China
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24
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Braun JM, Eliot M, Papandonatos GD, Buckley JP, Cecil KM, Kalkwarf HJ, Chen A, Eaton CB, Kelsey K, Lanphear BP, Yolton K. Gestational perfluoroalkyl substance exposure and body mass index trajectories over the first 12 years of life. Int J Obes (Lond) 2021; 45:25-35. [PMID: 33208860 PMCID: PMC7755727 DOI: 10.1038/s41366-020-00717-x] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Revised: 09/25/2020] [Accepted: 11/02/2020] [Indexed: 12/23/2022]
Abstract
BACKGROUND/OBJECTIVES Gestational exposure to perfluoroalkyl substances (PFAS), a ubiquitous class of persistent endocrine disrupting chemicals, is associated with increased risk of obesity and cardiometabolic disease. However, it is unclear if gestational PFAS exposure is associated with adiposity trajectories related to adult obesity and cardiometabolic health. SUBJECTS/METHODS We measured perfluorooctanoic acid (PFOA), perfluorooctanesulfonic acid (PFOS), perfluorononaoic acid, and perfluorohexanesulfonic acid (PFHxS) concentrations in maternal serum collected between 16 weeks gestation and delivery in a cohort of 345 mother-child pairs in Cincinnati, OH (enrolled 2003-06). From age 4 weeks to 12 years, we measured weight and length or height up to eight times and calculated child body mass index (BMI) (1865 repeated measures). Using covariate-adjusted linear mixed models and splines to account for repeated BMI measures and nonlinear BMI patterns, respectively, we estimated the age/magnitude of infancy BMI zenith (~1 year) and childhood BMI nadir (~5 years), BMI accrual from 8 to 12 years, and BMI at age 12 years by PFAS terciles. RESULTS BMI trajectories varied by PFOA concentrations (age × PFOA interaction p value = 0.03). Children born to women with higher PFOA concentrations had lower infancy and early childhood BMI, earlier BMI nadir, accelerating BMI gains in mid-childhood and adolescence, and higher BMI at age 12 years. Some of these associations were non-monotonic. PFOS and PFHxS were not associated with alterations in BMI trajectories, but were monotonically associated with lower BMI across infancy, childhood, and adolescence. Compared to children in the first PFOS tercile, those in the second (β: -0.83; 95% confidence interval (CI): -2.11, 0.51 kg/m2), and third (β: -1.41; 95% CI: -2.65, -0.14 kg/m2) had lower BMI at age 12 years. CONCLUSIONS These results suggest that gestational PFOA exposure may be associated with BMI trajectories related to adult obesity and cardiometabolic disease, while PFOS and PFHxS exposure is associated with lower BMI in the first 12 years of life.
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Affiliation(s)
- Joseph M Braun
- Department of Epidemiology, Brown University, Providence, RI, USA.
| | - Melissa Eliot
- Department of Epidemiology, Brown University, Providence, RI, USA
| | | | - Jessie P Buckley
- Department of Environmental Health and Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Kim M Cecil
- Department of Radiology, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Heidi J Kalkwarf
- Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Aimin Chen
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, USA
| | - Charles B Eaton
- Department of Epidemiology, Brown University, Providence, RI, USA
- Department of Family Medicine, Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Karl Kelsey
- Department of Epidemiology, Brown University, Providence, RI, USA
| | - Bruce P Lanphear
- Faculty of Health Sciences, Simon Fraser University, Vancouver, BC, Canada
| | - Kimberly Yolton
- Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, USA
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Cissé AH, Lioret S, de Lauzon-Guillain B, Forhan A, Ong KK, Charles MA, Heude B. Association between perinatal factors, genetic susceptibility to obesity and age at adiposity rebound in children of the EDEN mother-child cohort. Int J Obes (Lond) 2021; 45:1802-1810. [PMID: 33986455 PMCID: PMC8310796 DOI: 10.1038/s41366-021-00847-w] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Revised: 04/21/2021] [Accepted: 04/27/2021] [Indexed: 02/04/2023]
Abstract
BACKGROUND Early adiposity rebound (AR) has been associated with increased risk of overweight or obesity in adulthood. However, little is known about early predictors of age at AR. We aimed to study the role of perinatal factors and genetic susceptibility to obesity in the kinetics of AR. METHODS Body mass index (BMI) curves were modelled by using mixed-effects cubic models, and age at AR was estimated for 1415 children of the EDEN mother-child cohort study. A combined obesity risk-allele score was calculated from genotypes for 27 variants identified by genome-wide association studies of adult BMI. Perinatal factors of interest were maternal age at delivery, parental education, parental BMI, gestational weight gain, maternal smoking during pregnancy, and newborn characteristics (sex, prematurity, and birth weight). We used a hierarchical level approach with multivariable linear regression model to investigate the association between these factors, obesity risk-allele score, and age at AR. RESULTS A higher genetic susceptibility to obesity score was associated with an earlier age at AR. At the most distal level of the hierarchical model, maternal and paternal educational levels were positively associated with age at AR. Children born to parents with higher BMI were more likely to exhibit earlier age at AR. In addition, higher gestational weight gain was related to earlier age at AR. For children born small for gestational age, the average age at AR was 88 [±39] days lower than for children born appropriate for gestational age and 91 [±56] days lower than for children born large for gestational age. CONCLUSION The timing of AR seems to be an early childhood manifestation of the genetic susceptibility to adult obesity. We further identified low birth weight and gestational weight gain as novel predictors of early AR, highlighting the role of the intrauterine environment in the kinetics of adiposity.
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Affiliation(s)
| | - Sandrine Lioret
- Université de Paris, CRESS, INSERM, INRAE, F-75004, Paris, France
| | | | - Anne Forhan
- Université de Paris, CRESS, INSERM, INRAE, F-75004, Paris, France
| | - Ken K. Ong
- grid.5335.00000000121885934MRC Epidemiology Unit and Department of Paediatrics, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | | | - Barbara Heude
- Université de Paris, CRESS, INSERM, INRAE, F-75004, Paris, France
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Marbin J, Balk SJ, Gribben V, Groner J. Health Disparities in Tobacco Use and Exposure: A Structural Competency Approach. Pediatrics 2021; 147:peds.2020-040253. [PMID: 33386342 DOI: 10.1542/peds.2020-040253] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Fourteen percent of US adults use tobacco products. Because many of those who use tobacco are parents and/or caregivers, children are disproportionately exposed to tobacco smoke. People who use tobacco products often become addicted to nicotine, resulting in tobacco dependence, a chronic, relapsing disease. Tobacco use and exposure are more likely to occur in vulnerable and marginalized groups, including those living in poverty. Although some view tobacco use as a personal choice, evidence suggests that structural forces play an important role in tobacco uptake, subsequent nicotine addiction, and perpetuation of use. Viewing tobacco use and tobacco dependence through a structural competency lens promotes recognition of the larger systemic forces perpetuating tobacco use, including deliberate targeting of groups by the tobacco industry, lack of enforcement of age-for-sale laws, inferior access to health insurance and health care, poor access to cessation resources, and economic stress. Each of these forces perpetuates tobacco initiation and use; in turn, tobacco use perpetuates the user's adverse health and economic conditions. Pediatricians are urged to view family tobacco use as a social determinant of health. In addition to screening adolescents for tobacco use and providing resources and treatment of tobacco dependence, pediatricians are encouraged to systematically screen children for secondhand smoke exposure and support family members who smoke with tobacco cessation. Additionally, pediatricians can address the structural issues perpetuating tobacco use by becoming involved in policy and advocacy initiatives.
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Affiliation(s)
- Jyothi Marbin
- University of California, San Francisco, San Francisco, California;
| | - Sophie J Balk
- Albert Einstein College of Medicine and Children's Hospital at Montefiore, Bronx, New York; and
| | - Valerie Gribben
- University of California, San Francisco, San Francisco, California
| | - Judith Groner
- College of Medicine, The Ohio State University and Nationwide Children's Hospital, Columbus, Ohio
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Perng W, Rahman ML, Aris IM, Michelotti G, Sordillo JE, Chavarro JE, Oken E, Hivert MF. Metabolite Profiles of the Relationship between Body Mass Index (BMI) Milestones and Metabolic Risk during Early Adolescence. Metabolites 2020; 10:E316. [PMID: 32751947 PMCID: PMC7464362 DOI: 10.3390/metabo10080316] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Revised: 07/24/2020] [Accepted: 07/28/2020] [Indexed: 11/16/2022] Open
Abstract
Early growth is associated with future metabolic risk; however, little is known of the underlying biological pathways. In this prospective study of 249 boys and 227 girls, we sought to identify sex-specific metabolite profiles that mark the relationship between age and magnitude of the infancy body mass index (BMI) peak, and the childhood BMI rebound with a metabolic syndrome z-score (MetS z-score) during early adolescence (median age 12.8 years). Thirteen consensus metabolite networks were generated between male and female adolescents using weighted correlation network analysis. In girls, none of the networks were related to BMI milestones after false discovery rate (FDR) correction at 5%. In boys, age and/or magnitude of BMI at rebound were associated with three metabolite eigenvector (ME) networks comprising androgen hormones (ME7), lysophospholipids (ME8), and diacylglycerols (ME11) after FDR correction. These networks were also associated with MetS z-score in boys after accounting for age and race/ethnicity: ME7 (1.43 [95% CI: 0.52, 2.34] units higher MetS z-score per 1 unit of ME7), ME8 (-1.01 [95% CI: -1.96, -0.07]), and ME11 (2.88 [95% CI: 2.06, 3.70]). These findings suggest that alterations in sex steroid hormone and lipid metabolism are involved in the relationship of early growth with future metabolic risk in males.
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Affiliation(s)
- Wei Perng
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver Anschutz Medical Campus, Aurora, CO 80045, USA
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Denver Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Mohammad L. Rahman
- Division of Chronic Disease Research Across the Lifecourse (CoRAL), Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, MA 02215, USA; (M.L.R.); (I.M.A.); (J.E.S.); (E.O.); (M.-F.H.)
| | - Izzuddin M. Aris
- Division of Chronic Disease Research Across the Lifecourse (CoRAL), Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, MA 02215, USA; (M.L.R.); (I.M.A.); (J.E.S.); (E.O.); (M.-F.H.)
| | | | - Joanne E. Sordillo
- Division of Chronic Disease Research Across the Lifecourse (CoRAL), Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, MA 02215, USA; (M.L.R.); (I.M.A.); (J.E.S.); (E.O.); (M.-F.H.)
| | - Jorge E. Chavarro
- Department of Nutrition, T. H. Chan Harvard School of Public Health, Boston, MA 02115, USA;
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse (CoRAL), Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, MA 02215, USA; (M.L.R.); (I.M.A.); (J.E.S.); (E.O.); (M.-F.H.)
- Department of Nutrition, T. H. Chan Harvard School of Public Health, Boston, MA 02115, USA;
| | - Marie-France Hivert
- Division of Chronic Disease Research Across the Lifecourse (CoRAL), Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, MA 02215, USA; (M.L.R.); (I.M.A.); (J.E.S.); (E.O.); (M.-F.H.)
- Diabetes Unit, Massachusetts General Hospital, Boston, MA 02114, USA
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Torchin H, Le Lous M, Houdouin V. [In Utero Exposure to Maternal Smoking: Impact on the Child from Birth to Adulthood - CNGOF-SFT Expert Report and Guidelines for Smoking Management during Pregnancy]. GYNECOLOGIE, OBSTETRIQUE, FERTILITE & SENOLOGIE 2020; 48:567-577. [PMID: 32247092 DOI: 10.1016/j.gofs.2020.03.026] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
INTRODUCTION Smoking during pregnancy leads to fetal passive smoking. It is associated with several obstetrical complications and is a major modifiable factor of maternal and fetal morbidity. Long-term consequences also exist but are less well known to health professionals and in the general population. METHODS Consultation of the Medline® database. RESULTS Maternal smoking during pregnancy is associated in the offspring with sudden infant death syndrome (NP2), impaired lung function (NP2), lower respiratory infections and asthma (NP2), overweight and obesity (NP2), cancers (NP3), risk of tobacco use, nicotine dependence and early smoking initiation (NP2). Unadjusted analyses show associations between in utero tobacco exposure and cognitive deficits (NP3), impaired school performance (NP3) and behavioral disorders in children (NP2), which are in a large part explained by environmental factors. There is a cross-generational effect of smoking during pregnancy. For example, an increased risk of asthma is observed in the grandchildren of smoking women (NP4). The respective roles of ante- and post-natal smoking remain difficult to assess. CONCLUSION These results highlight the importance of prevention measures against tobacco use in the general population, as well as screening measures and support for smoking cessation before or at the beginning of the pregnancy.
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Affiliation(s)
- H Torchin
- Service de médecine et réanimation néonatales de Port-Royal, groupe hospitalier Cochin-Hôtel Dieu, Assistance publique-Hôpitaux de Paris, 123, boulevard de Port-Royal, 75014 Paris, France; Centre de recherche épidémiologie et statistique Sorbonne Paris Cité, Inserm, INRA, université de Paris, 75004 Paris, France.
| | - M Le Lous
- Département de gynécologie-obstétrique et médecine de la reproduction, centre hospitalier universitaire de Rennes, 35000 Rennes, France; LTSI-Inserm, université de Rennes 1, UMR 1099, 35000 Rennes, France
| | - V Houdouin
- Service de pneumologie, allergologie et CRCM pédiatrique, hôpital Robert-Debré, 48, boulevard Sérurier, 75019 Paris, France; Inserm UMR S 976, immunologie humaine, physiologie et immunothérapie, faculté Paris Diderot, 75018 Paris, France
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Abstract
PURPOSE OF REVIEW This review presents findings from recent studies investigating the role of socioeconomic status (SES) in child development. Studies on associations between SES and different parameters of physical and psychological health, on interventions and possible resilience factors are reviewed. RECENT FINDINGS Several cross-sectional and longitudinal studies demonstrate social disparities in child behavior and health. They underline the detrimental effects of low SES on child development. Some studies also highlight the potentially adverse effects of early diseases or vulnerabilities on later career and social position. Whereas most studies applied parent-based measures of SES, some studies emphasize the significance of child-based (e.g. perceived social position) and area-level indicators of SES (e.g. area deprivation). With respect to intervention, study findings suggest positive effects of programs aiming to improve specific neighborhood characteristics and psychosocial functioning of individuals. SUMMARY The relation between SES and health is bidirectional and stable, and the effects of interventions aiming at changing behaviors of children and families with low SES are small. There is a need for further center-based and area-level interventions and studies evaluating the effects of these interventions.
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30
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Ashley-Martin J, Karaceper M, Dodds L, Arbuckle TE, Ettinger AS, Fraser WD, Muckle G, Monnier P, Fisher M, Kuhle S. An examination of sex differences in associations between cord blood adipokines and childhood adiposity. Pediatr Obes 2020; 15:e12587. [PMID: 31845502 DOI: 10.1111/ijpo.12587] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2019] [Accepted: 10/01/2019] [Indexed: 12/18/2022]
Abstract
BACKGROUND Though the physiological roles of adipokines in metabolism, insulin resistance and satiety are clear, literature regarding associations between cord blood adipokine levels and childhood adiposity is equivocal. OBJECTIVES To determine whether cord blood levels of leptin and adiponectin are associated with adiposity in children 2 to 5 years of age, and whether such associations are modified by sex. METHODS Leptin and adiponectin levels were measured in cord blood and anthropometric measures were completed on 550 children enrolled in the Maternal-Infant Research on Environmental Chemicals Child Development Plus study (MIREC-CD Plus). We used multivariable linear and Poisson regression models to determine associations between cord blood adipokine levels and child body mass index (BMI), triceps and subscapular skinfold thickness and risk of overweight/obesity and to assess effect modification by child sex. RESULTS Cord blood adiponectin was significantly associated with modest increases in BMI and the sum of triceps and subscapular skinfold z-scores in boys but not girls. A doubling of adiponectin levels was associated with a 30% increased risk of overweight/obesity in boys (RR = 1.30; 95% CI: 1.02, 1.64). Leptin was not associated with anthropometric measures in either sex. CONCLUSIONS The observed associations between adiponectin and adiposity in boys were statistically significant, of moderate magnitude, and underscore the value of considering sex-specific patterns.
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Affiliation(s)
| | - Maria Karaceper
- Perinatal Epidemiology Research Unit, Dalhousie University, Halifax, Canada
| | - Linda Dodds
- Perinatal Epidemiology Research Unit, Dalhousie University, Halifax, Canada
| | - Tye E Arbuckle
- Population Studies Division, Health Canada, Ottawa, Canada
| | - Adrienne S Ettinger
- School of Public Health, University of Michigan, Michigan (MI), Ann Arbor, USA
| | - William D Fraser
- Obstetrics and Gynecology, University of Sherbrooke, Sherbrooke, Canada
| | - Gina Muckle
- School of Psychology, Universite Laval, Quebec City, Canada
| | | | - Mandy Fisher
- Population Studies Division, Health Canada, Ottawa, Canada
| | - Stefan Kuhle
- Perinatal Epidemiology Research Unit, Dalhousie University, Halifax, Canada
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31
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Zhu Z, Chang S, Cheng Y, Qi Q, Li S, Elhoumed M, Yan H, Dibley MJ, Fawzi WW, Zeng L, Sudfeld CR. Early life cognitive development trajectories and intelligence quotient in middle childhood and early adolescence in rural western China. Sci Rep 2019; 9:18315. [PMID: 31797987 PMCID: PMC6892923 DOI: 10.1038/s41598-019-54755-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2019] [Accepted: 11/19/2019] [Indexed: 12/24/2022] Open
Abstract
The relationship of cognitive developmental trajectories during the dynamic first years with later life development outcomes remains unclear in low- and middle-income countries. 1388 Children born to women who participated in a randomized trial of antenatal micronutrient supplementation in rural China were prospectively followed. Cognitive development was assessed six times between 3 and 30 months of age using Bayley Scales of Infant Development, and then in mid-childhood (7-9 years) and early adolescence (10-12 years) using Wechsler Intelligence Scale for Children. We identified four distinct infant cognitive development trajectory subgroups using group-based trajectory modeling: (i) consistently above average, (ii) consistently average, (iii) started below average and then improved, and (iv) started below average and then declined. LBW infants (<2500 g) were 10.60 times (95% CI 3.57, 31.49) more likely to be in the trajectory group that started below average and then declined, while each grade increase in maternal education decreased the risk of being in this group by 73% (95% CI 54%, 84%). Infants who performed consistently above average had 8.02 (95% CI 1.46, 14.59) points higher IQ in adolescence versus the declining trajectory group. These findings suggest that interventions to improve early child development trajectories may produce long-term human capital benefits.
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Affiliation(s)
- Zhonghai Zhu
- Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, 710061, P.R. China
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Suying Chang
- United Nations Children's Fund, China Office, Beijing, 100600, P.R. China
| | - Yue Cheng
- Department of Nutrition and Food Safety Research, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, 710061, P.R. China
| | - Qi Qi
- Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, 710061, P.R. China
| | - Shaoru Li
- Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, 710061, P.R. China
| | - Mohamed Elhoumed
- Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, 710061, P.R. China
| | - Hong Yan
- Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, 710061, P.R. China
- Nutrition and Food Safety Engineering Research Center of Shaanxi Province, Xi'an, 710061, Shaanxi, China
- Key Laboratory of Environment and Genes Related to Diseases, Xi'an Jiaotong University, Ministry of Education, Xi'an, 710061, Shaanxi, China
| | - Michael J Dibley
- School of Public Health, University of Sydney, Sydney, New South Wales, Australia
| | - Wafaie W Fawzi
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Lingxia Zeng
- Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, 710061, P.R. China.
- Key Laboratory of Environment and Genes Related to Diseases, Xi'an Jiaotong University, Ministry of Education, Xi'an, 710061, Shaanxi, China.
| | - Christopher R Sudfeld
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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32
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Aris IM, Rifas-Shiman SL, Li LJ, Fleisch AF, Hivert MF, Kramer MS, Oken E. Parental Obesity and Offspring Pubertal Development: Project Viva. J Pediatr 2019; 215:123-131.e2. [PMID: 31604633 PMCID: PMC6878167 DOI: 10.1016/j.jpeds.2019.08.029] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2019] [Revised: 07/18/2019] [Accepted: 08/14/2019] [Indexed: 11/19/2022]
Abstract
OBJECTIVE To investigate the association of preconception parental obesity (body mass index [BMI] ≥30 kg/m2) with offspring pubertal development. STUDY DESIGN Among 1377 children from a prospective prebirth cohort in Boston, we examined markers of puberty (age at peak height velocity [PHV], age at menarche, self-reported pubertal development score), and adrenarche (pictograph Tanner pubic hair staging). We used multivariable regression models to examine associations of maternal and paternal obesity with offspring pubertal indices, and applied marginal structural models to estimate the controlled direct effect not mediated by offspring prepubertal BMI. RESULTS The prevalence of paternal obesity alone, maternal obesity alone, and biparental obesity were 10.5%, 10.1%, and 5%, respectively. After adjusting for demographic and socioeconomic factors, parental heights and maternal age at menarche, maternal obesity alone (vs neither parent with obesity) was associated with earlier age at PHV (β -0.30 years; 95% CI -0.57, -0.03) and higher early adolescent pubertal score (0.29 units; 0.10, 0.48) in boys, but not with pubertal or adrenarchal outcomes in girls. Paternal obesity alone was not associated with any outcomes in either boys or girls. Biparental obesity was associated with earlier age at PHV in boys and earlier menarche in girls. Using marginal structural models with stabilized inverse probability weighting, maternal obesity alone had significant controlled direct effects on age at PHV (-0.31 years; -0.62, 0.00) and on pubertal score (0.22 units; 0.00, 0.44) in boys, independent of prepubertal BMI. CONCLUSION Maternal, but not paternal, obesity is associated with earlier pubertal development in boys, and such association is independent of prepubertal BMI.
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Affiliation(s)
- Izzuddin M Aris
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA; Department of Obstetrics and Gynecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore, Singapore.
| | - Sheryl L Rifas-Shiman
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA
| | - Ling-Jun Li
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA; Division of Obstetrics and Gynecology, KK Women's and Children's Hospital, Singapore; Obstetrics and Gynecology Academic Clinical Program, Duke-NUS Medical School, Singapore
| | - Abby F Fleisch
- Pediatric Endocrinology and Diabetes, Maine Medical Center, Portland, ME; Center for Outcomes Research and Evaluation, Maine Medical Center Research Institute, Portland, ME
| | - 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, MA; Diabetes Unit, Massachusetts General Hospital, Boston, MA
| | - Michael S Kramer
- Department of Obstetrics and Gynecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of Pediatrics, McGill University Faculty of Medicine, Montreal, Canada; Department of Epidemiology, Biostatistics and Occupational Health, McGill University Faculty of Medicine, Montreal, Canada
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
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Aris IM, Rifas-Shiman SL, Li LJ, Belfort MB, Hivert MF, Oken E. Early-Life Predictors of Systolic Blood Pressure Trajectories From Infancy to Adolescence: Findings From Project Viva. Am J Epidemiol 2019; 188:1913-1922. [PMID: 31497850 DOI: 10.1093/aje/kwz181] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2019] [Revised: 08/07/2019] [Accepted: 08/12/2019] [Indexed: 01/11/2023] Open
Abstract
Childhood blood pressure (BP) is a strong predictor of later risk of cardiovascular disease. However, few studies have assessed dynamic BP trajectories throughout the early-life period. We investigated the relationship between early-life factors and systolic BP (SBP) from infancy to adolescence using linear spline mixed-effects models among 1,370 children from Project Viva, a Boston, Massachusetts-area cohort recruited in 1999-2002. After adjusting for confounders and child height, we observed higher SBP in children exposed to gestational diabetes mellitus (vs. normoglycemia; age 3 years: β = 3.16 mm Hg (95% confidence interval (CI): 0.28, 6.04); age 6 years: β = 1.83 mm Hg (95% CI: 0.06, 3.60)), hypertensive disorders of pregnancy (vs. normal maternal BP; age 6 years: β = 1.39 mm Hg (95% CI: 0.10, 2.67); age 9 years: β = 1.84 mm Hg (95% CI: 0.34, 3.34); age 12 years: β = 1.70 mm Hg (95% CI: 0.48, 2.92)), higher neonatal SBP (per 10-mm Hg increase; age 3 years: β = 1.26 mm Hg (95% CI: 0.42, 2.09); age 6 years: β = 1.00 mm Hg (95% CI: 0.49, 1.51); age 9 years: β = 0.75 mm Hg (95% CI: 0.17, 1.33)), and formula milk in the first 6 months of life (vs. breast milk only; age 12 years: β = 2.10 mm Hg (95% CI: 0.46, 3.74); age 15 years: β = 3.52 mm Hg (95% CI: 1.40, 5.64); age 18 years: β = 4.94 mm Hg (95% CI: 1.88, 7.99)). Our findings provide evidence of programming of offspring SBP trajectories by gestational diabetes, hypertensive disorders of pregnancy, and formula milk intake and of neonatal BP being a potentially useful marker of childhood BP. These factors could be relevant in identifying children who are at risk of developing elevated BP.
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Affiliation(s)
- Izzuddin M Aris
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
- Department of Obstetrics and Gynecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore
| | - Sheryl L Rifas-Shiman
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | - Ling-Jun Li
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
- Division of Obstetrics and Gynecology, KK Women’s and Children’s Hospital, Singapore
- Obstetrics and Gynecology Academic Clinical Program, Duke-National University of Singapore Graduate Medical School, Singapore
| | - Mandy B Belfort
- Department of Pediatric Newborn Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
| | - 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, Massachusetts
- Diabetes Unit, Massachusetts General Hospital, Boston, Massachusetts
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
- Department of Nutrition, T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
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Aris IM, Rifas-Shiman SL, Li LJ, Kleinman KP, Coull BA, Gold DR, Hivert MF, Kramer MS, Oken E. Patterns of body mass index milestones in early life and cardiometabolic risk in early adolescence. Int J Epidemiol 2019; 48:157-167. [PMID: 30624710 PMCID: PMC6380298 DOI: 10.1093/ije/dyy286] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/18/2018] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND Few studies have examined the independent and combined relationships of body mass index (BMI) peak and rebound with adiposity, insulin resistance and metabolic risk later in life. We used data from Project Viva, a well-characterized birth cohort from Boston with repeated measures of BMI, to help fill this gap. METHODS Among 1681 children with BMI data from birth to mid childhood, we fitted individual BMI trajectories using mixed-effects models with natural cubic splines and estimated age, and magnitude of BMI, at peak (in infancy) and rebound (in early childhood). We obtained cardiometabolic measures of the children in early adolescence (median 12.9 years) and analysed their associations with the BMI parameters. RESULTS After adjusting for potential confounders, age and magnitude at infancy BMI peak were associated with greater adolescent adiposity, and earlier adiposity rebound was strongly associated with greater adiposity, insulin resistance and metabolic risk score independently of BMI peak. Children with a normal timing of BMI peak plus early rebound had an adverse cardiometabolic profile, characterized by higher fat mass index {β 2.2 kg/m2 [95% confidence interval (CI) 1.6, 2.9]}, trunk fat mass index [1.1 kg/m2 (0.8, 1.5)], insulin resistance [0.2 units (0.04, 0.4)] and metabolic risk score [0.4 units (0.2, 0.5)] compared with children with a normal BMI peak and a normal rebound pattern. Children without a BMI peak (no decline in BMI after the rise in infancy) also had adverse adolescent metabolic profiles. CONCLUSIONS Early age at BMI rebound is a strong risk factor for cardiometabolic risk, independent of BMI peak. Children with a normal peak-early rebound pattern, or without any BMI decline following infancy, are at greatest risk of adverse cardiometabolic profile in adolescence. Routine monitoring of BMI may help to identify children who are at greatest risk of developing an adverse cardiometabolic profile in later life and who may be targeted for preventive interventions.
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Affiliation(s)
- Izzuddin M Aris
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
- Department of Obstetrics and Gynecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore, Singapore
| | - Sheryl L Rifas-Shiman
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Ling-Jun Li
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
- Division of Obstetrics and Gynecology, KK Women’s and Children’s Hospital, Singapore, Singapore
- Obstetrics and Gynecology Academic Clinical Programme, Duke-NUS Medical School, Singapore, Singapore
| | - Ken P Kleinman
- Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts Amherst, Amherst, MA, USA
| | - Brent A Coull
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Diane R Gold
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Environmental Medicine, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - 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, MA, USA
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Michael S Kramer
- Department of Obstetrics and Gynecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Departments of Pediatrics
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University Faculty of Medicine, Montreal, QC, Canada
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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Abstract
PURPOSE OF REVIEW Type 2 diabetes is a growing concern worldwide with increasing incidence in youth. Development of preventive strategies in earlier stages of life is crucial. We aimed to examine epidemiological evidence of early-life exposures and their associations with childhood and later risk of obesity and diabetes, and to discuss potential mechanisms. RECENT FINDINGS Parental obesity and diabetes in the preconception period may influence offspring's obesity risk via epigenetic mechanisms influencing gametogenesis and early development that could have significant transgenerational effects. A more comprehensive understanding of these effects is needed to identify possible avenues for interventions in both fathers and mothers to be. In addition, current evidence suggests that growth and body weight trajectories in infancy and childhood are useful indicators of later obesity and type 2 diabetes. Moreover, the composition and variations in the microbiome in early life are associated with long-term health and could mediate associations between several early-life exposures and later risk of diseases. Altogether, the epidemiological evidence supports the need for preconception and early-life interventions to reduce the obesity and diabetes burden in later life.
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Affiliation(s)
- Véronique Gingras
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Landmark Center, 401 Park Drive Suite 401 East, Boston, MA, 02215, USA.
| | - Marie-France Hivert
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Landmark Center, 401 Park Drive Suite 401 East, Boston, MA, 02215, USA
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Landmark Center, 401 Park Drive Suite 401 East, Boston, MA, 02215, USA
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA
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Fleisch AF, Aris IM, Rifas-Shiman SL, Coull BA, Luttmann-Gibson H, Koutrakis P, Schwartz JD, Kloog I, Gold DR, Oken E. Prenatal Exposure to Traffic Pollution and Childhood Body Mass Index Trajectory. Front Endocrinol (Lausanne) 2018; 9:771. [PMID: 30666232 PMCID: PMC6330299 DOI: 10.3389/fendo.2018.00771] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2018] [Accepted: 12/07/2018] [Indexed: 12/20/2022] Open
Abstract
Background: Limited evidence suggests an association between prenatal exposure to traffic pollution and greater adiposity in childhood, but the time window during which growth may be most affected is not known. Methods: We studied 1,649 children in Project Viva, a Boston-area pre-birth cohort. We used spatiotemporal models to estimate prenatal residential air pollution exposures and geographic information systems to estimate neighborhood traffic density and roadway proximity. We used weight and stature measurements at clinical and research visits to estimate a BMI trajectory for each child with mixed-effects natural cubic spline models. In primary analyses, we examined associations of residential PM2.5 and black carbon (BC) exposures during the third trimester and neighborhood traffic density and home roadway proximity at birth address with (1) estimated BMI at 6 month intervals through 10 years of age, (2) magnitude and timing of BMI peak and rebound, and (3) overall BMI trajectory. In secondary analyses, we examined associations of residential PM2.5 and BC exposures during the first and second trimesters with BMI outcomes. Results: Median (interquartile range; IQR) concentration of residential air pollution during the third trimester was 11.4 (1.7) μg/m3 for PM2.5 and 0.7 (0.3) μg/m3 for BC. Participants had a median (IQR) of 13 (7) clinical or research BMI measures from 0 to 10 years of age. None of the traffic pollution exposures were significantly associated with any of the BMI outcomes in covariate-adjusted models, although effect estimates were in the hypothesized direction for neighborhood traffic density and home roadway proximity. For example, greater neighborhood traffic density [median (IQR) 857 (1,452) vehicles/day x km of road within 100 m of residential address at delivery] was associated with a higher BMI throughout childhood, with the strongest associations in early childhood [e.g., per IQR increment natural log-transformed neighborhood traffic density, BMI at 12 months of age was 0.05 (-0.03, 0.13) kg/m2 higher and infancy peak BMI was 0.05 (-0.03, 0.14) kg/m2 higher]. Conclusions: We found no evidence for a persistent effect of prenatal exposure to traffic pollution on BMI trajectory from birth through mid-childhood in a population exposed to modest levels of air pollution.
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Affiliation(s)
- Abby F. Fleisch
- Pediatric Endocrinology and Diabetes, Maine Medical Center, Portland, ME, United States
- Center for Outcomes Research and Evaluation, Maine Medical Center Research Institute, Portland, ME, United States
- *Correspondence: Abby F. Fleisch
| | - Izzuddin M. Aris
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, United States
- Department of Obstetrics and Gynecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Sheryl L. Rifas-Shiman
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, United States
| | - Brent A. Coull
- Department of Biostatistics, Harvard School of Public Health, Boston, MA, United States
| | - Heike Luttmann-Gibson
- Department of Environmental Health, Harvard School of Public Health, Boston, MA, United States
| | - Petros Koutrakis
- Department of Environmental Health, Harvard School of Public Health, Boston, MA, United States
| | - Joel D. Schwartz
- Department of Environmental Health, Harvard School of Public Health, Boston, MA, United States
| | - Itai Kloog
- Department of Environmental Health, Harvard School of Public Health, Boston, MA, United States
- Department of Geography and Environmental Development, Ben-Gurion University of the Negev, Beersheba, Israel
| | - Diane R. Gold
- Department of Environmental Health, Harvard School of Public Health, Boston, MA, United States
- Channing Laboratory, Brigham and Women's Hospital, Boston, MA, United States
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, United States
- Department of Nutrition, Harvard School of Public Health, Boston, MA, United States
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