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Bjerregaard LG, Wüst M, Johansen TSD, Sørensen TIA, Dahl CM, Baker JL. Cohort Profile: The Copenhagen Infant Health Nurse Records (CIHNR) cohort. Int J Epidemiol 2023; 52:e340-e346. [PMID: 37403322 DOI: 10.1093/ije/dyad096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Indexed: 07/06/2023] Open
Affiliation(s)
- Lise G Bjerregaard
- Center for Clinical Research and Prevention, Copenhagen University Hospital-Bispebjerg and Frederiksberg, Copenhagen, Denmark
| | - Miriam Wüst
- Center for Economic Behavior and Inequality (CEBI), Department of Economics, University of Copenhagen, Copenhagen, Denmark
| | | | - Thorkild I A Sørensen
- Department of Public Health and Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Center for Childhood Health, Copenhagen, Denmark
| | - Christian M Dahl
- Department of Economics, University of Southern Denmark, Odense, Denmark
| | - Jennifer L Baker
- Center for Clinical Research and Prevention, Copenhagen University Hospital-Bispebjerg and Frederiksberg, Copenhagen, Denmark
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2
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Shi F, Almerick T Boncan D, Wan HT, Chan TF, Zhang EL, Lai KP, Wong CKC. Hepatic metabolism gene expression and gut microbes in offspring, subjected to in-utero PFOS exposure and postnatal diet challenges. CHEMOSPHERE 2022; 308:136196. [PMID: 36041519 DOI: 10.1016/j.chemosphere.2022.136196] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Revised: 08/19/2022] [Accepted: 08/22/2022] [Indexed: 06/15/2023]
Abstract
We examined the changes in hepatic metabolic gene expression and gut microbiota of offspring exposed to PFOS in-utero. At GD17.5, our data showed that PFOS exposure decreased fetal bodyweights and hepatic metabolic gene expressions but increased relative liver mass and lipid accumulation. At PND21, in-utero high-dose PFOS-exposed offspring exhibited significantly greater bodyweight (catch-up-growth), associated with significant induction of hepatic metabolic gene expression. In addition, 16SrRNA-sequencing of the cecal samples revealed an increase in carbohydrate catabolism but a reduction in microbial polysaccharide synthesis and short-chain fatty acid (SCFA) metabolism. From PND21-80, a postnatal diet-challenge for the offspring was conducted. At PND80 under a normal diet, in-utero high-dose PFOS-exposed offspring maintained the growth "catch-up" effect. In contrast, in a high-fat-diet, the bodyweight of in-utero high-dose PFOS-exposed adult offspring were significantly lesser than the corresponding low-dose and control groups. Even though in the high-fat-diet, the in-utero PFOS-exposed adult offspring showed significant upregulation of hepatic metabolic genes, the lower bodyweight suggests that they had difficulty utilizing high-fat nutrients. Noteworthy, the metagenomic data showed a significant reduction in the biosynthesis of microbial polysaccharides, vitamin B, and SCFAs in the PFOS-exposed adult offspring. Furthermore, the observed effects were significantly reduced in the PFOS-exposed adult offspring with the high-fat diet but supplemented with sucrose. Our study demonstrated that in-utero PFOS exposure caused inefficient fat metabolism and increased the risk of hepatic steatosis in offspring.
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Affiliation(s)
- Feng Shi
- State Key Laboratory in Environmental and Biological Analysis, Croucher Institute for Environmental Sciences, Department of Biology, Hong Kong Baptist University, Hong Kong SAR, China
| | - Delbert Almerick T Boncan
- School of Life Sciences, State Key Laboratory of Agrobiotechnology, Hong Kong Bioinformatics Centre, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Hin Ting Wan
- State Key Laboratory in Environmental and Biological Analysis, Croucher Institute for Environmental Sciences, Department of Biology, Hong Kong Baptist University, Hong Kong SAR, China
| | - Ting Fung Chan
- School of Life Sciences, State Key Laboratory of Agrobiotechnology, Hong Kong Bioinformatics Centre, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Eric L Zhang
- Department of Computer Science, Hong Kong Baptist University, Hong Kong SAR, China
| | - Keng Po Lai
- Laboratory of Environmental Pollution and Integrative Omics, Guilin Medical University, Guilin, PR China
| | - Chris Kong-Chu Wong
- State Key Laboratory in Environmental and Biological Analysis, Croucher Institute for Environmental Sciences, Department of Biology, Hong Kong Baptist University, Hong Kong SAR, China.
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Blond K, Jensen BW, Petersen J, Baker JL, Bjerregaard LG. Trajectories of Infant Weight Gain from Birth to 12 Months and Adult-Onset Coronary Heart Disease. J Pediatr 2022; 246:123-130.e4. [PMID: 35398117 DOI: 10.1016/j.jpeds.2022.03.055] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Revised: 03/25/2022] [Accepted: 03/31/2022] [Indexed: 10/18/2022]
Abstract
OBJECTIVE To investigate associations between infant weight gain trajectories and coronary heart disease (CHD). STUDY DESIGN We followed 3645 Danish individuals born between 1959 and 1961 with information on weight at birth and at age 2 weeks and 1, 2, 3, 4, 6, or 12 months. Sex-specific weight trajectories were generated using latent class modeling. Cases of CHD (n = 279) were identified from national health registers. Hazard ratios (HRs) were estimated by Cox regression with sequential adjustment for sex, socioeconomic status, prepregnancy body mass index, maternal smoking, preterm birth, parity, and birth weight. RESULTS We identified 5 trajectories of weight development in infancy in our cohort: very low-moderate increase (11.5% of the population), low-marked increase (13.9%), low-stable increase (32.4%), average-stable increase (29.8%), and high-moderate increase (12.4%). Compared with the average-stable increasing trajectory, having a very low-moderately increasing weight trajectory in infancy was associated with a higher frequency of adult CHD (HR, 1.56; 95% CI, 1.04-2.33). The higher frequency remained after adjustment for maternal factors but was slightly attenuated after additional adjustment for preterm birth and parity (HR, 1.41; 95% CI, 0.91-2.23) and disappeared after adjustment for birth weight (HR, 0.78; 95% CI, 0.44-1.37). The associations with CHD did not differ between the other trajectories and the average-stable increasing trajectory. CONCLUSIONS Although a pattern of very low-moderate increasing weight during infancy was associated with a higher frequency of adult CHD, the association did not persist after adjustment for birth weight, highlighting the importance of prenatal exposures.
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Affiliation(s)
- Kim Blond
- Center for Clinical Research and Prevention, Copenhagen University Hospital - Bispebjerg and Frederiksberg, Copenhagen, Denmark
| | - Britt W Jensen
- Center for Clinical Research and Prevention, Copenhagen University Hospital - Bispebjerg and Frederiksberg, Copenhagen, Denmark
| | - Janne Petersen
- Center for Clinical Research and Prevention, Copenhagen University Hospital - Bispebjerg and Frederiksberg, Copenhagen, Denmark; Section of Biostatistics, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Jennifer L Baker
- Center for Clinical Research and Prevention, Copenhagen University Hospital - Bispebjerg and Frederiksberg, Copenhagen, Denmark
| | - Lise G Bjerregaard
- Center for Clinical Research and Prevention, Copenhagen University Hospital - Bispebjerg and Frederiksberg, Copenhagen, Denmark.
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Morgen CS, Larsson MW, Ängquist L, Sørensen TIA, Michaelsen KF. Overweight in childhood of exclusively breastfed infants with a high weight at 5 months. MATERNAL & CHILD NUTRITION 2021; 17:e13057. [PMID: 32815669 PMCID: PMC7729543 DOI: 10.1111/mcn.13057] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/20/2019] [Revised: 06/04/2020] [Accepted: 06/17/2020] [Indexed: 01/13/2023]
Abstract
High infant weight increases the risk of childhood overweight, while breastfeeding may reduce the risk. However, some infants have a very high weight gain even though they are exclusively breastfed. We examined the risk of a high body mass index (BMI) and overweight in childhood for infants ≥2.5 SD above the median weight-for-age (WAZ) at age 5 months according to duration of exclusive breastfeeding (≤2, >2 to <4 or ≥4 months). The study is based on 13,401 7-year-old and 9,819 11-year-old children enrolled into the Danish National Birth Cohort (born 1997-2003). Linear and logistic regression analyses were used to examine the associations while adjusting for presumed confounders including birth weight. The results showed that infants ≥2.5 SD at 5 months, breastfed exclusively ≤2, >2 to <4 or ≥4 months had adjusted odds ratios (ORs) for overweight at age 7 at 3.67 (95% confidence interval [CI] [2.10, 6.43]), 3.42 (95% CI [2.32, 5.04]) and 3.19 (95% CI [1.90, 5.36]) respectively, when compared with infants <2.5 SD WAZ exclusively breastfed ≥4 months. The corresponding results for BMI z-scores were 0.82 (95% CI [0.60, 1.04]), 0.63 (95% CI [0.48, 0.78]) and 0.57 (95% CI [0.38, 0.77]). For the ≥2.5 SD infants, the differences in risk of overweight and BMI according to duration of exclusive breastfeeding were neither significantly different among the 7-year nor among the 11-year-old children. A high infant weight increases the odds of overweight and is associated with a higher BMI in childhood. Whereas the odds and BMI z-scores tended to be lower for those exclusively breastfed longer, the differences were not statistically significant.
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Affiliation(s)
- Camilla S. Morgen
- National Institute of Public HealthUniversity of Southern DenmarkCopenhagenDenmark
- Department of Public Health, Section of EpidemiologyUniversity of CopenhagenCopenhagenDenmark
| | - Melanie W. Larsson
- Department of Nutrition, Exercise and Sports. Faculty of SciencesUniversity of CopenhagenDenmark
- Department of Nursing and Nutrition, Faculty of HealthUniversity College CopenhagenCopenhagenDenmark
| | - Lars Ängquist
- Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical SciencesUniversity of CopenhagenDenmark
| | - Thorkild I. A. Sørensen
- National Institute of Public HealthUniversity of Southern DenmarkCopenhagenDenmark
- Department of Public Health, Section of EpidemiologyUniversity of CopenhagenCopenhagenDenmark
- Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical SciencesUniversity of CopenhagenDenmark
| | - Kim F. Michaelsen
- Department of Nutrition, Exercise and Sports. Faculty of SciencesUniversity of CopenhagenDenmark
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5
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Rodd C, Feely A, Becker AB, Moraes TJ, Subbarao P, Mandhane PJ, Turvey SE, Lefebvre DL, Sears MR, Azad MB, Sharma A. World Health Organization growth standards: How do Canadian children measure up? Paediatr Child Health 2020; 26:e208-e214. [PMID: 34336064 DOI: 10.1093/pch/pxaa053] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2019] [Accepted: 03/26/2020] [Indexed: 11/14/2022] Open
Abstract
Background World Health Organization (WHO) growth standards for children aged 0 to 5 years describe growth under optimal conditions and were adopted for use in Canada in 2012. We are seeking to validate these charts in a well-characterized, longitudinal cohort of healthy, Canadian youngsters, assess tracking over time, and evaluate the prognostic implications of early growth. Methods Data from 2,795 mother-infant dyads from the CHILD birth cohort were classified by feeding modality at 6 months as exclusively breastfed, partially breastfed, or formula-fed. WHO z-scores (z) were calculated at birth, 3 months, 1 year, and 3 years. Receiver operator characteristics (ROC) assessed the predictive performance of early weight (WT), weight-for-length (WfL), or body mass index (BMI) z-scores for overweight/obesity at 3 years. Results Compared to WHO standards, Canadian children at birth had lower median WfLz (-0.73) and BMIz (-0.29), with more positive scores by 3 years (WfLz=BMIz=0.58). At both 1 and 3 years, formula feeding was associated with higher scores than breastfeeding, even after regression adjustment for covariates. Head circumference z-score was typically positive at all times and regardless of feeding modality. At 1 year, ROC area under the curve was 0.79 for WTz, WfLz, and BMIz, and BMIz>0.88 identified children with increased risk of overweight/obesity (BMIz >2) at age 3 years (20.3% versus 3.0%, P<0.001). Conclusions Compared to WHO growth charts, Canadian children at 3 years show an upward shift in BMIz and WfLz, particularly when formula-fed. Infant growth parameters may identify infants with increased risk of overweight/obesity at age 3 years; early recognition may allow targeting infants at higher risk.
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Affiliation(s)
- Celia Rodd
- Department of Pediatrics and Child Health, University of Manitoba, Winnipeg, Manitoba
| | - Allison Feely
- George and Fay Yee Centre for Health Care Innovation, University of Manitoba, Winnipeg, Manitoba
| | - Allan B Becker
- Department of Pediatrics and Child Health, University of Manitoba, Winnipeg, Manitoba.,Manitoba Developmental Origins of Chronic Diseases in Children Network (DEVOTION), Children's Hospital Research Institute of Manitoba, Winnipeg, Manitoba
| | - Theo J Moraes
- Departments of Pediatrics, University of Toronto, Toronto, Ontario
| | - Padmaja Subbarao
- Departments of Pediatrics, University of Toronto, Toronto, Ontario
| | | | - Stuart E Turvey
- Department of Pediatrics, University of British Columbia, Vancouver, British Columbia
| | | | - Malcolm R Sears
- Department of Medicine, McMaster University, Hamilton, Ontario
| | - Meghan B Azad
- Department of Pediatrics and Child Health, University of Manitoba, Winnipeg, Manitoba.,Manitoba Developmental Origins of Chronic Diseases in Children Network (DEVOTION), Children's Hospital Research Institute of Manitoba, Winnipeg, Manitoba
| | - Atul Sharma
- Department of Pediatrics and Child Health, University of Manitoba, Winnipeg, Manitoba
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Giuriato M, Nevill A, Kawczynski A, Lovecchio N. Body size and shape characteristics for Cooper's 12 minutes run test in 11-13 years old Caucasian children: an allometric approach. J Sports Med Phys Fitness 2020; 60:417-421. [DOI: 10.23736/s0022-4707.19.10282-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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7
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Sauder KA, Bekelman TA, Harrall KK, Glueck DH, Dabelea D. Gestational diabetes exposure and adiposity outcomes in childhood and adolescence: An analysis of effect modification by breastfeeding, diet quality, and physical activity in the EPOCH study. Pediatr Obes 2019; 14:e12562. [PMID: 31274243 PMCID: PMC6844624 DOI: 10.1111/ijpo.12562] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2019] [Accepted: 06/11/2019] [Indexed: 12/17/2022]
Abstract
BACKGROUND Intrauterine exposure to gestational diabetes (GDM) is associated with increased adiposity; however, not all offspring exposed to GDM exhibit excess adiposity. OBJECTIVES Examine whether optimal diet and activity behaviours in infancy, childhood, and adolescence modify the association between GDM exposure and adiposity. METHODS In 564 offspring (84 exposed to GDM), we assessed breastfeeding (maternal recall), dietary intake (food frequency questionnaire), physical activity (3-day recall), and adiposity (BMI, waist-to-height ratio, visceral and subcutaneous adipose tissue, and subscapular-to-triceps skinfold ratio) at 10.4 (SD, 1.5) and 16.7 (SD, 1.2) years. Optimal behaviours were defined as >6 breastmilk months, Healthy Eating Index score >60, and daily vigorous activity >1 hour. Linear mixed models assessed the association between GDM exposure and adiposity among those with optimal versus suboptimal health behaviours, adjusting for sex, race/ethnicity, age, and pubertal status. RESULTS GDM exposure was associated with increased skinfold ratio, visceral and subcutaneous adipose tissue among those with <6 breastmilk months (all Ps < .05), but only associated with increased skinfold ratio among those with >6 breastmilk months (P = .01). GDM exposure was associated with increases in all adiposity measures among those with Healthy Eating Index scores <60 (P < .01), but not those with scores >60 (P > .10). GDM exposure was associated with increased BMI and subcutaneous adipose tissue among those with >1 hour of vigorous activity (P < .05) but not among those with <1 hour of vigorous activity (P > .30). CONCLUSIONS The association of GDM exposure with excess adiposity is attenuated in offspring with more optimal diet and activity behaviours in infancy, childhood, and adolescence.
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Affiliation(s)
- Katherine A Sauder
- Department of Pediatrics, School of Medicine, University of Colorado, Aurora, CO, USA
- Department of Epidemiology, Colorado School of Public Health, University of Colorado, Aurora, CO, USA
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado, Aurora, CO, USA
| | - Traci A Bekelman
- Department of Pediatrics, School of Medicine, University of Colorado, Aurora, CO, USA
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado, Aurora, CO, USA
| | - Kylie K Harrall
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado, Aurora, CO, USA
| | - Deborah H Glueck
- Department of Pediatrics, School of Medicine, University of Colorado, Aurora, CO, USA
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado, Aurora, CO, USA
| | - Dana Dabelea
- Department of Pediatrics, School of Medicine, University of Colorado, Aurora, CO, USA
- Department of Epidemiology, Colorado School of Public Health, University of Colorado, Aurora, CO, USA
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado, Aurora, CO, USA
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Starling AP, Adgate JL, Hamman RF, Kechris K, Calafat AM, Dabelea D. Prenatal exposure to per- and polyfluoroalkyl substances and infant growth and adiposity: the Healthy Start Study. ENVIRONMENT INTERNATIONAL 2019; 131:104983. [PMID: 31284113 PMCID: PMC6728170 DOI: 10.1016/j.envint.2019.104983] [Citation(s) in RCA: 53] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/10/2018] [Revised: 06/28/2019] [Accepted: 06/28/2019] [Indexed: 05/20/2023]
Abstract
BACKGROUND Prenatal exposures to certain per- and polyfluoroalkyl substances (PFAS) have been linked to lower weight and adiposity at birth but greater weight and adiposity in childhood. We hypothesized that faster growth in early infancy may be associated with maternal PFAS concentrations. METHODS Among 415 mother-infant pairs in a longitudinal cohort study, we estimated associations between maternal pregnancy serum concentrations of six PFAS and offspring weight and adiposity at ~5 months of age, and growth in early infancy. Linear and logistic regression models were adjusted for potential confounders including maternal pre-pregnancy body mass index. Effect modification by infant sex was evaluated. We evaluated potential confounding by correlated exposures via multipollutant linear regression and elastic net penalized regression. RESULTS Associations between maternal PFAS concentrations and infant weight and adiposity differed by offspring sex. In male infants, maternal perfluorooctanoate and perfluorononanoate were positively associated with adiposity, with percent fat mass increases of 1.5-1.7% per ln-ng/mL increase in PFAS (median adiposity at ~5 months: 24.6%). Maternal perfluorooctane sulfonate (PFOS) and perfluorohexane sulfonate (PFHxS) were associated with lower weight-for-age z-score among female infants only (-0.26 SD per ln-ng/mL PFOS, 95% CI -0.43, -0.10; -0.17 SD per ln-ng/mL PFHxS, 95% CI -0.33, -0.01). In analyses pooled by sex, 2-(N-methyl-perfluorooctane sulfonamido) acetate above vs. below the limit of detection was associated with greater odds of rapid growth in weight-for-age (odds ratio [OR] 2.2, 95% CI 1.1, 4.3) and weight-for-length (OR 3.3, 95% CI 1.8, 6.2). Multipollutant models generally confirmed the results and strengthened some associations. DISCUSSION We observed sex- and chemical-specific associations between maternal serum PFAS concentrations and infant weight and adiposity. Multipollutant models suggested confounding by correlated PFAS with opposing effects. Although maternal PFAS concentrations are inversely associated with infant weight and adiposity at birth, rapid gain may occur in infancy, particularly in fat mass.
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Affiliation(s)
- Anne P Starling
- Department of Epidemiology, Colorado School of Public Health, Aurora, CO, USA; Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
| | - John L Adgate
- Department of Environmental and Occupational Health, Colorado School of Public Health, Aurora, CO, USA
| | - Richard F Hamman
- Department of Epidemiology, Colorado School of Public Health, Aurora, CO, USA; Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Katerina Kechris
- Department of Biostatistics and Informatics, Colorado School of Public Health, Aurora, CO, USA
| | - Antonia M Calafat
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health, Aurora, CO, USA; Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
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Kadakia R, Talbot O, Kuang A, Bain JR, Muehlbauer MJ, Stevens RD, Ilkayeva OR, Lowe LP, Metzger BE, Newgard CB, Scholtens DM, Lowe WL. Cord Blood Metabolomics: Association With Newborn Anthropometrics and C-Peptide Across Ancestries. J Clin Endocrinol Metab 2019; 104:4459-4472. [PMID: 31498869 PMCID: PMC6735762 DOI: 10.1210/jc.2019-00238] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2019] [Accepted: 06/28/2019] [Indexed: 12/18/2022]
Abstract
CONTEXT Newborn adiposity is associated with childhood obesity. Cord blood metabolomics is one approach that can be used to understand early-life contributors to adiposity and insulin resistance. OBJECTIVE To determine the association of cord blood metabolites with newborn adiposity and hyperinsulinemia in a multiethnic cohort of newborns. DESIGN Cross-sectional, observational study. SETTING Hyperglycemia and Adverse Pregnancy Outcome study. PARTICIPANTS One thousand six hundred multiethnic mother-newborn pairs. MAIN OUTCOME MEASURE Cord blood C-peptide, birthweight, and newborn sum of skinfolds. RESULTS Meta-analyses across four ancestry groups (Afro-Caribbean, Northern European, Thai, and Mexican American) demonstrated significant associations of cord blood metabolites with cord blood C-peptide, birthweight, and newborn sum of skinfolds. Several metabolites, including branched-chain amino acids (BCAAs), medium- and long-chain acylcarnitines, nonesterified fatty acids, and triglycerides were negatively associated with cord C-peptide but positively associated with birthweight and/or sum of skinfolds. 1,5-Anhydroglucitol, an inverse marker of recent maternal glycemia, was significantly inversely associated with birthweight and sum of skinfolds. Network analyses revealed groups of interrelated amino acid, acylcarnitine, and fatty acid metabolites associated with all three newborn outcomes. CONCLUSIONS Cord blood metabolites are associated with newborn size and cord blood C-peptide levels after adjustment for maternal body mass index and glucose during pregnancy. Negative associations of metabolites with C-peptide at birth were observed. 1,5-Anhydroglucitol appears to be a marker of adiposity in newborns. BCAAs were individually associated with birthweight and demonstrated possible associations with newborn adiposity in network analyses.
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Affiliation(s)
- Rachel Kadakia
- Feinberg School of Medicine, Northwestern University, Chicago, Illinois
- Ann and Robert H. Lurie Children’s Hospital of Chicago, Chicago, Illinois
- Correspondence and Reprint Requests: William L. Lowe, Jr., MD, Feinberg School of Medicine, Northwestern University, Rubloff Building, 12th Floor, 420 East Superior Street, Chicago, Ilinois 60611.
| | - Octavious Talbot
- Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Alan Kuang
- Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - James R Bain
- Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, North Carolina
- Duke Molecular Physiology Institute, Durham, North Carolina
- Duke University School of Medicine, Durham, North Carolina
| | - Michael J Muehlbauer
- Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, North Carolina
- Duke Molecular Physiology Institute, Durham, North Carolina
- Duke University School of Medicine, Durham, North Carolina
| | - Robert D Stevens
- Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, North Carolina
- Duke Molecular Physiology Institute, Durham, North Carolina
- Duke University School of Medicine, Durham, North Carolina
| | - Olga R Ilkayeva
- Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, North Carolina
- Duke Molecular Physiology Institute, Durham, North Carolina
- Duke University School of Medicine, Durham, North Carolina
| | - Lynn P Lowe
- Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Boyd E Metzger
- Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Christopher B Newgard
- Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, North Carolina
- Duke Molecular Physiology Institute, Durham, North Carolina
- Duke University School of Medicine, Durham, North Carolina
| | | | - William L Lowe
- Feinberg School of Medicine, Northwestern University, Chicago, Illinois
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Sebert S, Lowry E, Aumüller N, Bermúdez MG, Bjerregaard LG, de Rooij SR, De Silva M, El Marroun H, Hummel N, Juola T, Mason G, Much D, Oliveros E, Poupakis S, Rautio N, Schwarzfischer P, Tzala E, Uhl O, van de Beek C, Vehmeijer F, Verdejo-Román J, Wasenius N, Webster C, Ala-Mursula L, Herzig KH, Keinänen-Kiukaanniemi S, Miettunen J, Baker JL, Campoy C, Conti G, Eriksson JG, Hummel S, Jaddoe V, Koletzko B, Lewin A, Rodriguez-Palermo M, Roseboom T, Rueda R, Evans J, Felix JF, Prokopenko I, Sørensen TIA, Järvelin MR. Cohort Profile: The DynaHEALTH consortium - a European consortium for a life-course bio-psychosocial model of healthy ageing of glucose homeostasis. Int J Epidemiol 2019; 48:1051-1051k. [PMID: 31321419 PMCID: PMC6693805 DOI: 10.1093/ije/dyz056] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/02/2019] [Indexed: 01/12/2023] Open
Affiliation(s)
- Sylvain Sebert
- Centre for Life Course Health Research, Faculty of Medicine, University of Oulu, Finland
- Biocenter Oulu, University of Oulu, Finland
- Department of Genomics of Complex Diseases, School of Public Health, Imperial College London, UK
| | - Estelle Lowry
- Centre for Life Course Health Research, Faculty of Medicine, University of Oulu, Finland
- Biocenter Oulu, University of Oulu, Finland
| | - Nicole Aumüller
- Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children’s Hospital, Ludwig-Maximilians Universität München, Munich, Germany
| | | | - Lise G Bjerregaard
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, The Capital Region, Copenhagen, Denmark
| | - Susanne R de Rooij
- Department of Clinical Epidemiology, Biostatistics & Bio informatics, Amsterdam University Medical Centre)
| | - Maneka De Silva
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, UK
| | - Hanan El Marroun
- Generation R Study Group, Department of Pediatrics, Department of Child & Adolescent Psychiatry, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Nadine Hummel
- Institute of Diabetes Research, Helmholtz Zentrum München, and Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München, Neuherberg, Germany
| | - Teija Juola
- Centre for Life Course Health Research, Faculty of Medicine, University of Oulu, Finland
| | | | - Daniela Much
- Institute of Diabetes Research, Helmholtz Zentrum München, and Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München, Neuherberg, Germany
| | | | | | - Nina Rautio
- Centre for Life Course Health Research, Faculty of Medicine, University of Oulu, Finland
- Biocenter Oulu, University of Oulu, Finland
| | - Phillipp Schwarzfischer
- Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children’s Hospital, Ludwig-Maximilians Universität München, Munich, Germany
| | - Evangelia Tzala
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, UK
| | - Olaf Uhl
- Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children’s Hospital, Ludwig-Maximilians Universität München, Munich, Germany
| | - Cornelieke van de Beek
- Department of Obstetrics & Gynaecology, Amsterdam University Medical Centers, The Netherlands
| | - Florianne Vehmeijer
- Generation R Study Group, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Juan Verdejo-Román
- Mind, Brain and Behavior Research Centre (CIMCYC), University of Granada, Spain
- Department of Experimental Psychology, Psychological Processes and Speech Therapy, Universidad Complutense de Madrid
| | - Niko Wasenius
- Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
| | | | - Leena Ala-Mursula
- Centre for Life Course Health Research, Faculty of Medicine, University of Oulu, Finland
| | - Karl-Heinz Herzig
- Research Unit of Biomedicine, Department of Physiology & Biocenter of Oulu, University of Oulu, Oulu, Finland
- Department of Gastroenterology and Metabolism, Poznan University of Medical Sciences, Poznan, Poland
| | | | - Jouko Miettunen
- Centre for Life Course Health Research, Faculty of Medicine, University of Oulu, Finland
- Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Finland
| | - Jennifer L Baker
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, The Capital Region, Copenhagen, Denmark
- NovoNordisk Foundation Centre for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - Cristina Campoy
- Department of Paediatrics, School of Medicine, University of Granada, Spain
| | | | - Johan G Eriksson
- Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
- National Institute for Health and Welfare, Finland
| | - Sandra Hummel
- Institute of Diabetes Research, Helmholtz Zentrum München, and Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München, Neuherberg, Germany
| | - Vincent Jaddoe
- Generation R Study Group, Department of Pediatrics, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
- Harvard Medical School, USA
| | - Berthold Koletzko
- Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children’s Hospital, Ludwig-Maximilians Universität München, Munich, Germany
| | - Alex Lewin
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, UK
| | | | | | | | - Jayne Evans
- Folkhälsan Research Center, Helsinki, Finland
| | - Janine F Felix
- Generation R Study Group, Department of Pediatrics, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Inga Prokopenko
- Department of Genomics of Complex Diseases, School of Public Health, Imperial College London, UK
| | - Thorkild I A Sørensen
- Department of Gastroenterology and Metabolism, Poznan University of Medical Sciences, Poznan, Poland
- Department of Public Health, Section of Epidemiology, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - Marjo-Riitta Järvelin
- Centre for Life Course Health Research, Faculty of Medicine, University of Oulu, Finland
- Biocenter Oulu, University of Oulu, Finland
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, UK
- Department of Life Sciences, College of Health and Life Sciences, Brunel University London, UK
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11
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Schmidt M, Schmidt SAJ, Adelborg K, Sundbøll J, Laugesen K, Ehrenstein V, Sørensen HT. The Danish health care system and epidemiological research: from health care contacts to database records. Clin Epidemiol 2019; 11:563-591. [PMID: 31372058 PMCID: PMC6634267 DOI: 10.2147/clep.s179083] [Citation(s) in RCA: 918] [Impact Index Per Article: 153.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2018] [Accepted: 02/20/2019] [Indexed: 01/04/2023] Open
Abstract
Denmark has a large network of population-based medical databases, which routinely collect high-quality data as a by-product of health care provision. The Danish medical databases include administrative, health, and clinical quality databases. Understanding the full research potential of these data sources requires insight into the underlying health care system. This review describes key elements of the Danish health care system from planning and delivery to record generation. First, it presents the history of the health care system, its overall organization and financing. Second, it details delivery of primary, hospital, psychiatric, and elderly care. Third, the path from a health care contact to a database record is followed. Finally, an overview of the available data sources is presented. This review discusses the data quality of each type of medical database and describes the relative technical ease and cost-effectiveness of exact individual-level linkage among them. It is shown, from an epidemiological point of view, how Denmark’s population represents an open dynamic cohort with complete long-term follow-up, censored only at emigration or death. It is concluded that Denmark’s constellation of universal health care, long-standing routine registration of most health and life events, and the possibility of exact individual-level data linkage provides unlimited possibilities for epidemiological research.
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Affiliation(s)
- Morten Schmidt
- Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark.,Department of Cardiology, Regional Hospital West Jutland, Herning, Denmark
| | - Sigrun Alba Johannesdottir Schmidt
- Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark.,Department of Dermatology, Aarhus University Hospital, Aarhus, Denmark
| | - Kasper Adelborg
- Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark.,Department of Clinical Biochemistry, Aarhus University Hospital, Aarhus, Denmark
| | - Jens Sundbøll
- Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark
| | - Kristina Laugesen
- Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark
| | - Vera Ehrenstein
- Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark
| | - Henrik Toft Sørensen
- Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark
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12
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Saner C, Harcourt BE, Pandey A, Ellul S, McCallum Z, Kao KT, Twindyakirana C, Pons A, Alexander EJ, Saffery R, Burgner DP, Juonala M, Sabin MA. Sex and puberty-related differences in metabolomic profiles associated with adiposity measures in youth with obesity. Metabolomics 2019; 15:75. [PMID: 31053959 DOI: 10.1007/s11306-019-1537-y] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2018] [Accepted: 04/25/2019] [Indexed: 12/20/2022]
Abstract
BACKGROUND Specific patterns of metabolomic profiles relating to cardiometabolic disease are associated with increased weight in adults. In youth with obesity, metabolomic data are sparse and associations with adiposity measures unknown. OBJECTIVES Primary, to determine associations between adiposity measures and metabolomic profiles with increased cardiometabolic risks in youth with obesity. Secondary, to stratify associations by sex and puberty. METHODS Participants were from COBRA (Childhood Overweight BioRepository of Australia; a paediatric cohort with obesity). Adiposity measures (BMI, BMI z-score, %truncal and %whole body fat, waist circumference and waist/height ratio), puberty staging and NMR metabolomic profiles from serum were assessed. Statistics included multivariate analysis (principal component analysis, PCA) and multiple linear regression models with false discovery rate adjustment. RESULTS 214 participants had metabolomic profiles analyzed, mean age 11.9 years (SD ± 3.1), mean BMI z-score 2.49 (SD ± 0.24), 53% females. Unsupervised PCA identified no separable clusters of individuals. Positive associations included BMI z-score and phenylalanine, total body fat % and lipids in medium HDL, and waist circumference and tyrosine; negative associations included total body fat % and the ratio of docosahexaenoic acid/total fatty acids and histidine. Stratifying by sex and puberty, patterns of associations with BMI z-score in post-pubertal males included positive associations with lipid-, cholesterol- and triglyceride-content in VLDL lipoproteins; total fatty acids; total triglycerides; isoleucine, leucine and glycoprotein acetyls. CONCLUSION In a paediatric cohort with obesity, increased adiposity measures, especially in post-pubertal males, were associated with distinct patterns in metabolomic profiles.
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Affiliation(s)
- Christoph Saner
- Murdoch Children's Research Institute, The Royal Children's Hospital, Parkville, VIC, Australia.
- Department of Endocrinology and Diabetes, The Royal Children's Hospital, Parkville, VIC, Australia.
- Department of Medicine, University of Turku and Division of Medicine, Turku University Hospital, Turku, Finland.
| | - Brooke E Harcourt
- Murdoch Children's Research Institute, The Royal Children's Hospital, Parkville, VIC, Australia
- Department of Endocrinology and Diabetes, The Royal Children's Hospital, Parkville, VIC, Australia
- Department of Paediatrics, The University of Melbourne, Parkville, VIC, Australia
| | - Ahwan Pandey
- Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Susan Ellul
- Murdoch Children's Research Institute, The Royal Children's Hospital, Parkville, VIC, Australia
| | - Zoe McCallum
- Murdoch Children's Research Institute, The Royal Children's Hospital, Parkville, VIC, Australia
- Department of Endocrinology and Diabetes, The Royal Children's Hospital, Parkville, VIC, Australia
| | - Kung-Ting Kao
- Murdoch Children's Research Institute, The Royal Children's Hospital, Parkville, VIC, Australia
- Department of Endocrinology and Diabetes, The Royal Children's Hospital, Parkville, VIC, Australia
- Department of Paediatrics, The University of Melbourne, Parkville, VIC, Australia
| | - Celia Twindyakirana
- Murdoch Children's Research Institute, The Royal Children's Hospital, Parkville, VIC, Australia
- Department of Paediatrics, The University of Melbourne, Parkville, VIC, Australia
| | - Anke Pons
- Murdoch Children's Research Institute, The Royal Children's Hospital, Parkville, VIC, Australia
| | - Erin J Alexander
- Murdoch Children's Research Institute, The Royal Children's Hospital, Parkville, VIC, Australia
- Department of Endocrinology and Diabetes, The Royal Children's Hospital, Parkville, VIC, Australia
| | - Richard Saffery
- Murdoch Children's Research Institute, The Royal Children's Hospital, Parkville, VIC, Australia
- Department of Endocrinology and Diabetes, The Royal Children's Hospital, Parkville, VIC, Australia
- Department of Paediatrics, The University of Melbourne, Parkville, VIC, Australia
| | - David P Burgner
- Murdoch Children's Research Institute, The Royal Children's Hospital, Parkville, VIC, Australia
- Department of Paediatrics, The University of Melbourne, Parkville, VIC, Australia
- Department of Paediatrics, Monash University, Clayton, VIC, Australia
| | - Markus Juonala
- Murdoch Children's Research Institute, The Royal Children's Hospital, Parkville, VIC, Australia
- Department of Medicine, University of Turku and Division of Medicine, Turku University Hospital, Turku, Finland
| | - Matthew A Sabin
- Murdoch Children's Research Institute, The Royal Children's Hospital, Parkville, VIC, Australia
- Department of Endocrinology and Diabetes, The Royal Children's Hospital, Parkville, VIC, Australia
- Department of Paediatrics, The University of Melbourne, Parkville, VIC, Australia
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13
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Katanoda K, Noda M, Goto A, Mizunuma H, Lee JS, Hayashi K. Being underweight in adolescence is independently associated with adult-onset diabetes among women: The Japan Nurses' Health Study. J Diabetes Investig 2019; 10:827-836. [PMID: 30290067 PMCID: PMC6497776 DOI: 10.1111/jdi.12947] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2018] [Revised: 08/24/2018] [Accepted: 09/07/2018] [Indexed: 11/29/2022] Open
Abstract
AIMS/INTRODUCTION To examine the association between adult-onset diabetes and life-course bodyweight changes. MATERIALS AND METHODS In a cross-sectional study, 17,398 Japanese female nurses aged ≥30 years completed a self-administered questionnaire in 2001-2007. Bodyweight indices were calculated for three life stages: birthweight (adjusted for gestational age), body mass index (BMI) at age 18 years and current BMI. Odds ratios for being diagnosed with adult-onset diabetes were calculated according to the combined bodyweight categories of two life stages: at birth and age 18 years; and at age 18 years and the survey (current). Path analysis was carried out to decompose the effect of each bodyweight index into direct and mediating effects. RESULTS After adjustment for age at survey and parental diabetes history, "low" birthweight (<25th percentile), when combined with either "low" or "high" BMI (≥75th percentile) at age 18 years, had significant odds ratios (2.32, 95% confidence interval [CI] 1.22-4.44; 3.69, 95% CI 2.12-6.42, respectively) compared with the group of "middle" category (25th-74th percentile) at both life stages. The combination of "low" BMI at age 18 years and "high" current BMIs showed the highest odds ratio (7.97, 95% CI 3.97-16.00). Among women without parental diabetes history, "low" BMI at age 18 years showed a significantly high odds ratio (2.25, 95% CI 1.01-4.99), even when combined with the "middle" category of current BMI. Path analysis showed that both birthweight and BMI at age 18 years had a negative direct effect on adult-onset diabetes. CONCLUSIONS Underweight at adolescence, as well as overweight, is a potential risk factor for adult-onset diabetes among Japanese women.
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Affiliation(s)
- Kota Katanoda
- Division of Cancer Statistics IntegrationCenter for Cancer Control and Information ServicesNational Cancer CenterTokyoJapan
| | - Mitsuhiko Noda
- Department of Endocrinology and DiabetesSaitama Medical UniversitySaitamaJapan
| | - Atsushi Goto
- Epidemiology and Prevention GroupCenter for Public Health SciencesNational Cancer CenterTokyoJapan
| | - Hideki Mizunuma
- Fukushima Medical Center for Children and WomenFukushima Medical UniversityFukushimaJapan
| | - Jung Su Lee
- Department of Public HealthGraduate School of MedicineThe University of TokyoTokyoJapan
| | - Kunihiko Hayashi
- Department of Basic Allied MedicineSchool of Health ScienceGunma UniversityMaebashiJapan
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14
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Lovecchio N, Giuriato M, Zago M, Nevill A. Identifying the optimal body shape and composition associated with strength outcomes in children and adolescent according to place of residence: An allometric approach. J Sports Sci 2019; 37:1434-1441. [DOI: 10.1080/02640414.2018.1562615] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Affiliation(s)
- Nicola Lovecchio
- Departement of Biomedical Science for Health, Università degli Studi di Milano, Milano, Italy
- Laboratory of Adapted Motor Activity (LAMA), Department of Public Health, Experimental and Forensic Medicine, University of Pavia, Pavia, Italy
| | - Matteo Giuriato
- Department of Human Science, Università degli Studi di Verona, Verona, Italy
| | - Matteo Zago
- Movement and Posture Analysis Lab, Politecnico di Milano, Milano, Italy
- Fondazione Istituto Farmacologico Filippo Serpero, Milano, Italy
| | - Alan Nevill
- Institute of Sport & Human Sciences, University of Wolverhampton, Wolverhampton, UK
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15
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Vajravelu ME, Congdon M, Mitteer L, Koh J, Givler S, Shults J, De León DD. Continuous Intragastric Dextrose: A Therapeutic Option for Refractory Hypoglycemia in Congenital Hyperinsulinism. Horm Res Paediatr 2019; 91:62-68. [PMID: 30086540 PMCID: PMC6661174 DOI: 10.1159/000491105] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2018] [Accepted: 06/12/2018] [Indexed: 11/19/2022] Open
Abstract
UNLABELLED Feeding problems are frequent in infants with congenital hyperinsulinism (HI) and may be exacerbated by continuous enteral nutrition (EN) used to maintain euglycemia. Our center's HI team uses dextrose solution given continuously via gastric tube (intrasgastric dextrose, IGD) for infants not fully responsive to conventional medical therapy or pancreatectomy. Here, we describe our practice as well as growth, feeding, and adverse events in infants with HI exposed to IGD. METHODS This was a retrospective cohort of infants with HI treated with IGD from 2009-2017. Primary outcomes were weight-for-length and body mass index Z-scores (WFL-Z and BMI-Z) in the year following IGD initiation. Secondary outcomes included EN use and adverse events. We used multivariable regression to assess covariates of interest. RESULTS We studied 32 subjects (13 female) with a median age at IGD initiation of 73 days (range 17-367); median follow-up was 11.2 months (range 5.0-14.2). WFL-Z did not change significantly over time (p > 0.05). EN use decreased significantly over time, i.e., at 0 months: 72% (95% CI 53-85) vs. at 12 months 39% (95% CI 22-59). No potential adverse events led to discontinuation of IGD. CONCLUSIONS Over a median follow-up of nearly 1 year, IGD was well-tolerated, with no change in WFL-Z or BMI-Z from baseline.
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Affiliation(s)
- Mary Ellen Vajravelu
- Division of Endocrinology and Diabetes, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Morgan Congdon
- Department of Pediatrics, The Children’s Hospital of Philadelphia and the Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Lauren Mitteer
- Division of Endocrinology and Diabetes, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Jamie Koh
- Division of Endocrinology and Diabetes, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Stephanie Givler
- Division of Endocrinology and Diabetes, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Justine Shults
- Department of Biostatistics and Epidemiology, the Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Diva D. De León
- Division of Endocrinology and Diabetes, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA,Department of Pediatrics, The Children’s Hospital of Philadelphia and the Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
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16
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Maternal body weight trajectories across the life course and risk of preterm delivery. J Dev Orig Health Dis 2017; 9:143-150. [PMID: 28877776 DOI: 10.1017/s2040174417000708] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
We examined the association between life course body weight percentile trajectories and risk for preterm delivery (PTD). Data about women's weight at birth, age 18, and before pregnancy were obtained by retrospective self-report in a cohort of 1410 black women in metropolitan Detroit. Growth mixture models were used to categorize women with similar weight percentile trajectories across these time points. Log-Poisson models were used to examine the association between the trajectory groups and PTD. Four trajectory groups with different beginning and endpoints of their weight percentiles (high-high, high-low, low-high and low-low) best fit the data. The groups with the highest prevalence of PTD were those that started low (low-high, 21%; low-low, 18%). The low-high group had a higher prevalence of PTD than the high-high trajectory group in unadjusted models (prevalence ratio=1.49 [95% confidence interval (CI) 1.11, 2.00]). The association became not significant after adjusting for maternal age at delivery, income, diabetes and hypertension. When compared with the high-high trajectory group, the low-low trajectory seemed to also have a higher prevalence of PTD after adjusting for maternal age at delivery, income, diabetes and hypertension (prevalence ratio=1.35 [95% CI 1.00, 1.83]). Results suggest that a woman's risk for PTD is influenced by her body weight trajectory across the life course.
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17
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Starling AP, Adgate JL, Hamman RF, Kechris K, Calafat AM, Ye X, Dabelea D. Perfluoroalkyl Substances during Pregnancy and Offspring Weight and Adiposity at Birth: Examining Mediation by Maternal Fasting Glucose in the Healthy Start Study. ENVIRONMENTAL HEALTH PERSPECTIVES 2017; 125:067016. [PMID: 28669937 PMCID: PMC5743451 DOI: 10.1289/ehp641] [Citation(s) in RCA: 102] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/10/2016] [Revised: 11/30/2016] [Accepted: 12/13/2016] [Indexed: 05/17/2023]
Abstract
BACKGROUND Certain perfluoroalkyl and polyfluoroalkyl substances (PFAS) are widespread, persistent environmental contaminants. Prenatal PFAS exposure has been associated with lower birth weight; however, impacts on body composition and factors responsible for this association are unknown. OBJECTIVES We aimed to estimate associations between maternal PFAS concentrations and offspring weight and adiposity at birth, and secondarily to estimate associations between PFAS concentrations and maternal glucose and lipids, and to evaluate the potential for these nutrients to mediate associations between PFAS and neonatal outcomes. METHODS Within the Healthy Start prospective cohort, concentrations of 11 PFAS, fasting glucose, and lipids were measured in maternal mid-pregnancy serum (n=628). Infant body composition was measured using air displacement plethysmography. Associations between PFAS and birth weight and adiposity, and between PFAS and maternal glucose and lipids, were estimated via linear regression. Associations were decomposed into direct and indirect effects. RESULTS Five PFAS were detectable in >50% of participants. Maternal perfluorooctanoate (PFOA) and perfluorononanoate (PFNA) concentrations were inversely associated with birth weight. Adiposity at birth was approximately 10% lower in the highest categories of PFOA, PFNA, and perfluorohexane sulfonate (PFHxS) compared to the lowest categories. PFOA, PFNA, perfluorodecanoate (PFDeA), and PFHxS were inversely associated with maternal glucose. Up to 11.6% of the effect of PFAS on neonatal adiposity was mediated by maternal glucose concentrations. Perfluorooctane sulfonate (PFOS) was not significantly associated with any outcomes studied. CONCLUSIONS Follow-up of offspring will determine the potential long-term consequences of lower weight and adiposity at birth associated with prenatal PFAS exposure. https://doi.org/10.1289/EHP641.
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Affiliation(s)
- Anne P Starling
- Department of Epidemiology, Colorado School of Public Health, Aurora, Colorado, USA
| | - John L Adgate
- Department of Environmental and Occupational Health, Colorado School of Public Health, Aurora, Colorado, USA
| | - Richard F Hamman
- Department of Epidemiology, Colorado School of Public Health, Aurora, Colorado, USA
| | - Katerina Kechris
- Department of Biostatistics and Informatics, Colorado School of Public Health, Aurora, Colorado, USA
| | - Antonia M Calafat
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Xiaoyun Ye
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health, Aurora, Colorado, USA
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18
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Polimanti R, Zhang H, Smith AH, Zhao H, Farrer LA, Kranzler HR, Gelernter J. Genome-wide association study of body mass index in subjects with alcohol dependence. Addict Biol 2017; 22:535-549. [PMID: 26458734 PMCID: PMC5102811 DOI: 10.1111/adb.12317] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2015] [Revised: 08/27/2015] [Accepted: 09/03/2015] [Indexed: 12/22/2022]
Abstract
Outcomes related to disordered metabolism are common in alcohol dependence (AD). To investigate alterations in the regulation of body mass that occur in the context of AD, we performed a genome-wide association study (GWAS) of body mass index (BMI) in African Americans (AAs) and European Americans (EAs) with AD. Subjects were recruited for genetic studies of AD or drug dependence and evaluated using the Semi-structured Assessment for Drug Dependence and Alcoholism. We investigated a total of 2587 AAs and 2959 EAs with DSM-IV AD diagnosis. In the stage 1 sample (N = 4137), we observed three genome-wide significant (GWS) single-nucleotide polymorphism associations, rs200889048 (P = 8.98 * 10-12 ) and rs12490016 (P = 1.44 * 10-8 ) in EAs and rs1630623 (P = 5.14 * 10-9 ) in AAs and EAs meta-analyzed. In the stage 2 sample (N = 1409), we replicated 278, 253 and 168 of the stage 1 suggestive loci (P < 5*10-4 ) in AAs, EAs, and AAs and EAs meta-analyzed, respectively. A meta-analysis of stage 1 and stage 2 samples (N = 5546) identified two additional GWS signals: rs28562191 in EAs (P = 4.46 * 10-8 ) and rs56950471 in AAs (P = 1.57 * 10-9 ). Three of the GWS loci identified (rs200889048, rs12490016 and rs1630623) were not previously reported by GWAS of BMI in the general population, and two of them raise interesting hypotheses: rs12490016-a regulatory variant located within LINC00880, where there are other GWAS-identified variants associated with birth size, adiposity in newborns and bulimia symptoms, which also interact with social stress in relation to birth size; rs1630623-a regulatory variant related to ALDH1A1, a gene involved in alcohol metabolism and adipocyte plasticity. These loci offer molecular insights regarding the regulatory mechanisms of body mass in the context of AD.
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Affiliation(s)
- Renato Polimanti
- Department of Psychiatry, Yale University School of Medicine and VA CT Healthcare Center, West Haven, CT, USA
| | - Huiping Zhang
- Department of Psychiatry, Yale University School of Medicine and VA CT Healthcare Center, West Haven, CT, USA
| | - Andrew H. Smith
- Medical Scientist Training Program and Interdepartmental Neuroscience Program, Yale University School of Medicine, New Haven, CT, USA
| | - Hongyu Zhao
- Department of Biostatistics, Yale University School of Public Health, New Haven, CT, USA
- Department of Genetics, Yale University School of Medicine, New Haven, CT, USA
| | - Lindsay A. Farrer
- Departments of Medicine (Biomedical Genetics), Neurology, Ophthalmology, Genetics & Genomics, Biostatistics, and Epidemiology, Boston University Schools of Medicine and Public Health, Boston, MA, USA
| | - Henry R. Kranzler
- Department of Psychiatry, University of Pennsylvania School of Medicine and VISN 4 MIRECC, Philadelphia VAMC, Philadelphia, PA, USA
| | - Joel Gelernter
- Department of Psychiatry, Yale University School of Medicine and VA CT Healthcare Center, West Haven, CT, USA
- Department of Genetics, Yale University School of Medicine, New Haven, CT, USA
- Department of Neurobiology, Yale University School of Medicine, New Haven, CT, USA
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19
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Benjamin Neelon SE, Østbye T, Bennett GG, Kravitz RM, Clancy SM, Stroo M, Iversen E, Hoyo C. Cohort profile for the Nurture Observational Study examining associations of multiple caregivers on infant growth in the Southeastern USA. BMJ Open 2017; 7:e013939. [PMID: 28179416 PMCID: PMC5306520 DOI: 10.1136/bmjopen-2016-013939] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
PURPOSE Childcare has been associated with obesity in children in cross-sectional and longitudinal studies, although some observed no association. Few studies have focused on care during infancy, a period when children may be especially vulnerable. PARTICIPANTS The Nurture Study is an observational birth cohort designed to assess longitudinal associations of childcare and the presence of multiple caregivers on infant adiposity and weight trajectories throughout the first year of life. We examine as potential mediators feeding, physical activity, sleep and stress. We completed recruitment in 2015. Of the 860 women who enrolled during pregnancy, 799 delivered a single live infant who met our inclusion criteria. Of those, 666 mothers (77.4%) agreed to participate in the study for themselves and their infants. FINDINGS TO DATE Among the 666 women in the study, 472 (71%) identified as black, 127 (19%) as white, 7 (1%) as Asian or Asian American, 6 (1%) as Native American and 49 (7%) as other race or more than one race; 43 (7%) identified as Hispanic/Latina. Just under half (48%) had a high school diploma or less, 61% had household incomes <$20 000/year and 59% were married or living with a partner. The mean (SD) infant gestational age was 41.28 weeks (2.29) and birth weight for gestational age z-score was -0.31 (0.93). Just under half (49%) of infants were females, 69% received some human milk and 40% were exclusively breast fed at hospital discharge. Data collection began in 2013, is currently underway, and is scheduled to conclude in late 2016. FUTURE PLANS Results will help assess the magnitude of associations between childcare in infancy and subsequent obesity. Findings will also inform intervention and policy efforts to improve childcare environments and help prevent obesity in settings where many infants spend time. TRIAL REGISTRATION NUMBER Clinicaltrials.gov, NCT01788644.
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Affiliation(s)
- Sara E Benjamin Neelon
- Department of Health, Behavior and Society, Johns Hopkins University, Baltimore, Maryland, USA
| | - Truls Østbye
- Department of Community and Family Medicine, Duke University Medical Center, Durham, North Carolina, USA
| | - Gary G Bennett
- Department of Psychology and Neuroscience, Duke University, Durham, North Carolina, USA
| | - Richard M Kravitz
- Department of Pediatrics, Duke University Medical Center, Durham, North Carolina, USA
| | - Shayna M Clancy
- Department of Community and Family Medicine, Duke University Medical Center, Durham, North Carolina, USA
| | - Marissa Stroo
- Department of Community and Family Medicine, Duke University Medical Center, Durham, North Carolina, USA
| | - Edwin Iversen
- Department of Statistical Science, Duke University, Durham, North Carolina, USA
| | - Cathrine Hoyo
- Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina, USA
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Li S, Xiong X, Harville E, Zhang T, Sun D, Fernandez C, Krousel-Wood M, Chen W, Whelton PK. Childhood Risk Factors and Pregnancy-Induced Hypertension: The Bogalusa Heart Study. Am J Hypertens 2016; 29:1206-11. [PMID: 27251339 DOI: 10.1093/ajh/hpw057] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2016] [Accepted: 05/11/2016] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Pregnancy-induced hypertension (PIH) causes increased risk of maternal, fetal, and neonatal morbidity and mortality. Identification of risk factors for PIH in early life is central to the development of prevention strategies. METHODS A cohort of 703 women aged 25.5-51.3 years from the Bogalusa Heart Study were included. PIH were defined as self-reported hypertension during pregnancy and a blood pressure level <140/90mm Hg without antihypertensive medication (n = 131) at the subsequent examinations. Body mass index (BMI), systolic and diastolic blood pressure, high- and low-density lipoprotein cholesterol, and triglycerides measured during childhood (4-17 years) were considered. General linear models were used to examine differences in childhood between those who did and those who did not develop PIH. Logistic regression models were used to estimate odds ratios for PIH associated with childhood risk factors. RESULTS Compared to women who did not develop PIH, those who developed PIH had higher BMI (20.2 vs. 19.2kg/m(2), P = 0.0002) and systolic blood pressure (104.1 vs. 103.3mm Hg, P = 0.008) in childhood. After adjustment for other variables, childhood BMI was the only risk factor associated with PIH, with each standard deviation increase in childhood BMI being associated with an odds ratio of 1.35 (95% confidence interval: 1.08-1.68) for PIH. The odds of PIH increased significantly as childhood BMI increased from the bottom quartile to the top quartile (P for trend = 0.006). CONCLUSIONS Elevated childhood BMI is a significant risk factor for PIH in adulthood, which underscores the importance of body weight control in childhood for prevention of PIH.
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Affiliation(s)
- Shengxu Li
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA;
| | - Xu Xiong
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA
| | - Emily Harville
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA
| | - Tao Zhang
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA; Department of Biostatistics, Shandong University School of Public Health, Ji'nan, China
| | - Dianjianyi Sun
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA
| | - Camilo Fernandez
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA
| | - Marie Krousel-Wood
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA; Department of Medicine, Tulane University School of Medicine, New Orleans, LA; Ochsner Health System, New Orleans, LA
| | - Wei Chen
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA
| | - Paul K Whelton
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA
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21
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Prospective associations of appetitive traits at 3 and 12 months of age with body mass index and weight gain in the first 2 years of life. BMC Pediatr 2015; 15:153. [PMID: 26459321 PMCID: PMC4603814 DOI: 10.1186/s12887-015-0467-8] [Citation(s) in RCA: 55] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2015] [Accepted: 10/01/2015] [Indexed: 11/10/2022] Open
Abstract
Background Appetitive traits in childhood such as food responsiveness and enjoyment of food have been associated with body mass index (BMI) in later childhood. However, data on appetitive traits during infancy in relation to BMI in later childhood are sparse. We aimed to relate appetitive traits in infancy to subsequent BMI and weight gain up to 24 months of age. Methods Data of 210 infants from the Singapore GUSTO mother-offspring cohort was obtained. The Baby Eating Behavior Questionnaire (BEBQ) and the Child Eating Behavior Questionnaire (CEBQ) were administered to mothers when their offspring were aged 3 and 12 months respectively. Height and weight of offspring were measured at ages 3, 6, 9,12,15,18 and 24 months. The association of appetitive traits with both BMI z-score and weight gain were evaluated using multivariate linear regression. Results Food responsiveness at 3 months was associated with higher BMI from 6 months up to 15 months of age (p < 0.01) and with greater weight gain between 3 and 6 months of age (p = 0.012). Slowness in eating and satiety responsiveness at 3 months was significantly associated with lower BMI at 6 months (p < 0.01) and with less weight gain between 3 to 6 months of age (p = 0.034). None of the appetitive traits at 12 months were significantly associated with BMI or weight gain over any time period. Conclusion Early assessment of appetitive traits at 3 months of age but not at 12 months of age was associated with BMI and weight gain over the first two years of life. Trial registration Clinical Trials identifier NCT01174875 Electronic supplementary material The online version of this article (doi:10.1186/s12887-015-0467-8) contains supplementary material, which is available to authorized users.
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22
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Li S, Chen W, Sun D, Fernandez C, Li J, Kelly T, He J, Krousel-Wood M, Whelton PK. Variability and rapid increase in body mass index during childhood are associated with adult obesity. Int J Epidemiol 2015; 44:1943-50. [PMID: 26452389 DOI: 10.1093/ije/dyv202] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/14/2015] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Body mass index (BMI) in childhood predicts obesity in adults, but it is unknown whether rapid increase and variability in BMI during childhood are independent predictors of adult obesity. METHODS The study cohort consisted of 1622 Bogalusa Heart Study participants (aged 20 to 51 years at follow-up) who had been screened at least four times during childhood (aged 4-19 years). BMI rate of change during childhood for each individual was assessed by mixed models; BMI residual standard deviation (RSD) during childhoodwas used as a measure of variability. The average follow-up period was 20.9 years. RESULTS One standard deviation increase in rate of change in BMI during childhood was associated with 1.39 [95% confidence interval (CI): 1.17-1.61] kg/m(2) increase in adult BMI and 2.98 (95% CI: 2.42-3.56) cm increase in adult waist circumference, independently of childhood mean BMI. Similarly, one standard deviation increase in RSD in BMI during childhood was associated with 0.46 (95% CI: 0.23-0.69) kg/m(2) increase in adult BMI and 1.42 (95% CI: 0.82-2.02) cm increase in adult waist circumference. Odds ratio for adult obesity progressively increased from the lowest to the highest quartile of BMI rate of change or RSD during childhood (P for trend < 0.05 for both). CONCLUSIONS Rapid increase and greater variability in BMI during childhood appear to be independent risk factors for adult obesity. Our findings have implications for understanding body weight regulation and obesity development from childhood to adulthood.
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Affiliation(s)
- Shengxu Li
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA,
| | - Wei Chen
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
| | - Dianjianyi Sun
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA, Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Camilo Fernandez
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
| | - Jian Li
- Department of Biostatistics and Bioinformatics
| | - Tanika Kelly
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
| | - Jiang He
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
| | - Marie Krousel-Wood
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA, Department of Medicine, Tulane University School of Medicine, New Orleans, LA, USA and Ochsner Health System, New Orleans, LA, USA
| | - Paul K Whelton
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
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Richmond RC, Timpson NJ, Sørensen TIA. Exploring possible epigenetic mediation of early-life environmental exposures on adiposity and obesity development. Int J Epidemiol 2015; 44:1191-8. [PMID: 25953782 DOI: 10.1093/ije/dyv066] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/23/2015] [Indexed: 12/17/2022] Open
Affiliation(s)
| | | | - Thorkild I A Sørensen
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK, Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Medical and Health Sciences, University of Copenhagen, Copenhagen, Denmark and Institute of Preventive Medicine, Bispebjerg and Frederiksberg Hospitals, Copenhagen, Denmark
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