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Freedman DS, Goodman AB, King RJ, Daymont C. The Longitudinal Relation of Childhood Height to Subsequent Obesity in a Large Electronic Health Record Database. Obesity (Silver Spring) 2020; 28:1742-1749. [PMID: 32638501 DOI: 10.1002/oby.22901] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2020] [Revised: 05/05/2020] [Accepted: 05/07/2020] [Indexed: 01/31/2023]
Abstract
OBJECTIVE Several cross-sectional studies have shown that height in childhood is correlated with BMI and with body fatness, and two longitudinal studies have reported that childhood height is associated with adult BMI. This study explored this longitudinal association in an electronic health record database of 2.8 million children. METHODS Children were initially examined between the ages of 2 and 13.9 years and, on average, were reexamined 4 years later. RESULTS As expected, there was a cross-sectional correlation between height-for-age z score and BMI that increased from r = -0.06 (age of 2 years) to r = 0.37 (age of 9-10 years). In addition, height-for-age at the first visit was related to subsequent BMI and obesity, with the prevalence of subsequent obesity increasing about fourfold over six categories of height-for-age at the first visit. About 40% of this longitudinal association was independent of initial BMI, but its magnitude decreased with initial age. For example, the initial height-for-age of children who were 12 years of age or older was only weakly associated with subsequent BMI. CONCLUSIONS Health professionals should recognize that greater childhood height-for-age before 12 years of age may be a marker for increased risk of subsequent obesity.
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Affiliation(s)
- David S Freedman
- Division of Nutrition, Physical Activity, and Obesity, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Alyson B Goodman
- Division of Nutrition, Physical Activity, and Obesity, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Raymond J King
- Division of Nutrition, Physical Activity, and Obesity, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Carrie Daymont
- Departments of Pediatrics and Public Health Science, Penn State College of Medicine, Hershey, Pennsylvania, USA
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van Grieken A, Vlasblom E, Wang L, Beltman M, Boere-Boonekamp MM, L'Hoir MP, Raat H. Personalized Web-Based Advice in Combination With Well-Child Visits to Prevent Overweight in Young Children: Cluster Randomized Controlled Trial. J Med Internet Res 2017; 19:e268. [PMID: 28751299 PMCID: PMC5553002 DOI: 10.2196/jmir.7115] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2016] [Revised: 05/01/2017] [Accepted: 05/02/2017] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND Overweight is a major health issue, and parent-targeted interventions to promote healthy development in children are needed. OBJECTIVE The study aimed to evaluate E-health4Uth Healthy Toddler, an intervention that educates parents of children aged 18 to 24 months regarding health-related behaviors, as compared with usual care. The effect of this intervention on the following primary outcomes was evaluated when the children were 36 months of age: health-related behaviors (breakfast daily, activity and outside play, sweetened beverage consumption, television (TV) viewing and computer time), body mass index (BMI), and the prevalence of overweight and obesity. METHODS The BeeBOFT (acronym for breastfeeding, breakfast daily, outside playing, few sweet drinks, less TV viewing) study is a cluster randomized controlled trial involving 51 Youth Health Care (YHC) teams. In total, 1094 parents participated in the control group, and 1008 parents participated in the E-health4Uth Healthy Toddler intervention group. The intervention consisted of Web-based personalized advice given to parents who completed an eHealth module and discussion of the advice during a regular well-child visit. In this study the eHealth module was offered to parents before two regular well-child visits at 18 and 24 months of age. During the well-child visits, the parents' personalized advice was combined with face-to-face counseling provided by the YHC professional. Parents in the control group received usual care, consisting of the regular well-child visits during which general information on child health-related behavior was provided to parents. Parents completed questionnaires regarding family characteristics and health-related behaviors when the child was 1 month (inclusion), 6 months, 14 months, and 36 months (follow-up) of age. The child's height and weight were measured by trained health care professionals from birth through 36 months of age at fixed time points. Multilevel linear and logistic regression models were used to evaluate the primary outcomes at 36 months of age. RESULTS At 36 months, we observed no differences between health-related behaviors of children, BMI or the percentage of children having overweight or obesity in the control and intervention group (P>.05). An analysis of the intervention effect revealed that boys benefited from eating breakfast daily, non-Dutch children spent more time being active or playing outdoors, children of low-educated parents and of overweight and obese mothers spent less time watching TV or using the computer, and children of normal weight mothers drank less sweetened beverages (P<.05) compared with the control group. CONCLUSIONS The E-health4Uth Healthy Toddler intervention resulted in small improvements in health-related behaviors among subgroups but had no significant effects with respect to the children's BMI. We conclude that the E-health4Uth Healthy Toddler intervention may be useful for pediatric health care professionals in terms of providing parents with personalized information regarding their child's health-related behaviors. TRIAL REGISTRATION Netherlands Trial Register: NTR1831; http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=1831 (Archived by WebCite at http://www.webcitation.org/6mm5YFOB0).
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Affiliation(s)
- Amy van Grieken
- Department of Public Health, Erasmus University Medical Center, Rotterdam, Netherlands
| | | | - Lu Wang
- Department of Public Health, Erasmus University Medical Center, Rotterdam, Netherlands
| | | | - Magda M Boere-Boonekamp
- IGS Institute for Innovation and Governance Studies, Department Health Technology and Services Research, University of Twente, Enschede, Netherlands
| | - Monique P L'Hoir
- Department of Agrotechnology and Food Sciences, Subdivision Human Nutrition, Wageningen University & Research, Wageningen, Netherlands
| | - Hein Raat
- Department of Public Health, Erasmus University Medical Center, Rotterdam, Netherlands
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de Kroon ML, Wijga A, Vergouwe Y, Heijmans MW, Jaddoe VW, Twisk JW, Raat H. Prediction of Preadolescent Overweight and Poor Cardiometabolic Outcome in Children up to 6 Years of Age: Research Protocol. JMIR Res Protoc 2016; 5:e85. [PMID: 27339755 PMCID: PMC4937175 DOI: 10.2196/resprot.5158] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2015] [Revised: 01/22/2016] [Accepted: 01/22/2016] [Indexed: 12/27/2022] Open
Abstract
Background Dynamic risk estimations may enable targeting primary prevention of overweight and overweight-related adverse cardiometabolic outcome in later life, potentially serving as a valuable addition to universal primary prevention. This approach seems particularly promising in young children, as body mass index (BMI) changes at a young age are highly predictive of these outcomes, and parental lifestyle interventions at a young age are associated with improved long-term outcome. Objective This paper describes the design of our study, which aims to develop digitized tools that can be implemented in the Dutch Child Health Care (CHC) system or by pediatricians for children up to 6 years of age. These tools will enable (1) dynamically predicting the development of overweight, hypertension or prehypertension, low high-density lipoprotein cholesterol (HDL-C) values, and high total cholesterol to HDL-C ratio by early adolescence and (2) identifying children who are likely to have poor cardiometabolic outcome by the age of 5-6 years and by the age of 10 years. Methods Data will be obtained from the Generation R (n=7893) and Prevention and Incidence of Asthma and Mite Allergy (PIAMA; n=3963) cohorts, two Dutch prenatally recruited cohorts. We will select candidate predictors that can be assessed during the first visit and/or during subsequent visits to the CHC center or pediatrician, including sex; parental age, education level, and BMI; smoking exposure; ethnicity; birth weight; gestational age; breastfeeding versus formula feeding; and growth data through the age of 6 years. We will design dynamic prediction models that can be updated with new information obtained during subsequent CHC visits, allowing each measurement to be added to the model. Performance of the model will be assessed in terms of discrimination and calibration. Finally, the model will be validated both internally and externally using the combined cohort data and then converted into a computer-assisted tool called ProCOR (Prediction Of Child CardiOmetabolic Risk). Results This is an ongoing research project financed by the Dutch government. The first results are expected in 2016. Conclusions This study may contribute to the national implementation of digitized tools for assessing the risk of overweight and related cardiometabolic outcome in young children, enabling targeted primary prevention, ultimately yielding relevant health gains and improved resource allocation.
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Affiliation(s)
- Marlou La de Kroon
- Erasmus University Medical Center, Department of Public Health, Rotterdam, Netherlands.
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Reinehr T, Roth CL, Woelfle J. Fibroblast growth factor 21 (FGF-21) in obese children: no relationship to growth, IGF-1, and IGFBP-3. Horm Mol Biol Clin Investig 2016; 30:/j/hmbci.ahead-of-print/hmbci-2015-0074/hmbci-2015-0074.xml. [PMID: 26887040 DOI: 10.1515/hmbci-2015-0074] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2015] [Accepted: 01/05/2016] [Indexed: 11/15/2022]
Abstract
BACKGROUND Fibroblast growth factor 21 (FGF-21) is a hepatic protein that plays a critical role in liver, adipose tissue, and bone metabolism. Animal models reported an increase of FGF-21 and associated growth disturbances in undernutrition. Therefore, we studied the impact of weight loss in obese children on growth, FGF-21, and insulin-like factor 1 (IGF-1) concentrations. METHODS We analyzed height, serum concentrations of FGF-21, IGF-1, IGFBP-3, leptin, and insulin at baseline and 1 year later in 30 obese children with substantial weight loss (reduction >0.5 BMI-SDS) and in 30 obese children of similar age, gender, and pubertal stage with stable BMI-SDS. All children participated in a 1-year lifestyle intervention. Height and IGF-1 was transformed to standard deviation score (SDS). Multiple linear regression analyses adjusted for age, gender, and pubertal stage were performed. RESULTS At baseline, height-SDS was significantly related to IGF-1-SDS (β-coefficient 0.68 95% confidence interval (95% CI)±0.49; p=0.008) and leptin (β-coefficient 0.042 95% CI±0.030; p=0.008), but not to FGF-21 or insulin. FGF-21 was not significantly associated with IGF-1 or IGFBP-3. In longitudinal analysis, changes of FGF-21 were not significantly related to changes of height, IGF-1-SDS or IGFBP-3. However, in the subgroup of 30 children with substantial BMI-SDS reduction, FGF-21, leptin, insulin, and HOMA decreased significantly. CONCLUSION As there was no significant association between FGF-21 and growth or IGF-1 both in cross-sectional and longitudinal analyses, these findings do not support the hypothesis that FGF-21 is involved in growth of obese children. Further studies are necessary to understand the multiple alterations in the growth hormone (GH) axis in obese children.
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Fideleff HL, Boquete HR, Suárez MG, Azaretzky M. Burden of Growth Hormone Deficiency and Excess in Children. PROGRESS IN MOLECULAR BIOLOGY AND TRANSLATIONAL SCIENCE 2015; 138:143-66. [PMID: 26940390 DOI: 10.1016/bs.pmbts.2015.10.009] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Longitudinal growth results from multifactorial and complex processes that take place in the context of different genetic traits and environmental influences. Thus, in view of the difficulties in comprehension of the physiological mechanisms involved in the achievement of normal height, our ability to make a definitive diagnosis of GH impairment still remains limited. There is a myriad of controversial aspects in relation to GH deficiency, mainly related to diagnostic controversies and advances in molecular biology. This might explain the diversity in therapeutic responses and may also serve as a rationale for new "nonclassical" treatment indications for GH. It is necessary to acquire more effective tools to reach an adequate evaluation, particularly while considering the long-term implications of a correct diagnosis, the cost, and safety of treatments. On the other hand, overgrowth constitutes a heterogeneous group of different pathophysiological situations including excessive somatic and visceral growth. There are overlaps in clinical and molecular features among overgrowth syndromes, which constitute the real burden for an accurate diagnosis. In conclusion, both GH deficiency and overgrowth are a great dilemma, still not completely solved. In this chapter, we review the most burdensome aspects related to short stature, GH deficiency, and excess in children, avoiding any details about well-known issues that have been extensively discussed in the literature.
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Affiliation(s)
- Hugo L Fideleff
- Department of Medicine, Endocrinology Unit, Hospital T. Alvarez, Buenos Aires, Argentina.
| | - Hugo R Boquete
- Department of Medicine, Endocrinology Unit, Hospital T. Alvarez, Buenos Aires, Argentina
| | - Martha G Suárez
- Department of Medicine, Endocrinology Unit, Hospital T. Alvarez, Buenos Aires, Argentina
| | - Miriam Azaretzky
- Department of Medicine, Endocrinology Unit, Hospital T. Alvarez, Buenos Aires, Argentina
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Júlíusson PB, Brannsether B, Kristiansen H, Hoppenbrouwers K, Bjerknes R, Roelants M. Should children with overweight or obesity be excluded from height references? Arch Dis Child 2015; 100:1044-8. [PMID: 26297699 DOI: 10.1136/archdischild-2015-308537] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/07/2015] [Accepted: 08/01/2015] [Indexed: 11/04/2022]
Abstract
BACKGROUND AND OBJECTIVES Growth reference charts are usually based on measurements of children free from a medical condition that affects growth. However, samples collected during the past decades often contain a large proportion of overweight or obese children. Because obesity increases linear growth, the question arises to what extent the percentiles curves for length/height are affected by the presence of children with overweight or obesity. METHODS Data from two cross-sectional samples of 2-year-old to 18-year-old children were analysed: 12,252 Belgian children, measured in 2002-2004, and 6159 Norwegian children, measured in 2003-2006. The LMS method was used to estimate height-for-age curves with and without children considered overweight or obese according to the International Obesity Task Force thresholds. RESULTS The prevalence of overweight (including obesity) and obesity was 13.0% and 2.8% in the Belgian and 13.8% and 2.3% in the Norwegian sample. Children were taller when overweight (+0.49 and 0.43 SD, in the Belgian and Norwegian sample, respectively) or obese (+0.73 and 0.72 SD in the Belgian and Norwegian sample, respectively). Effect sizes were smaller in younger and older children, which points to an advanced age of maturation as a possible cause. Excluding overweight and obese children had only a minor impact on the growth curves with largest difference in mean height SD scores -0.09 in the Belgian and -0.12 in the Norwegian sample with a corresponding increase of up to 0.5% and 1.2% in number of children >+2 SD. CONCLUSIONS Current Belgian and Norwegian growth references for length/height were found to be largely unaffected by the current proportion of overweight and obese children. There is, therefore, no need for revised height charts that exclude overweight or obese children.
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Affiliation(s)
- Pétur B Júlíusson
- Department of Clinical Science, University of Bergen, Bergen, Norway Department of Pediatrics, Haukeland University Hospital, Bergen, Norway
| | - Bente Brannsether
- Department of Clinical Science, University of Bergen, Bergen, Norway Department of Pediatrics, Stavanger University Hospital, Stavanger, Norway
| | - Hege Kristiansen
- Department of Clinical Science, University of Bergen, Bergen, Norway Departement of Pediatrics, District General Hospital of Førde, Førde, Norway
| | - Karel Hoppenbrouwers
- Environment and Health, Department of Public Health and Primary Care, KU Leuven-University of Leuven, Leuven, Belgium
| | - Robert Bjerknes
- Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Mathieu Roelants
- Environment and Health, Department of Public Health and Primary Care, KU Leuven-University of Leuven, Leuven, Belgium
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7
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Leermakers ETM, Felix JF, Erler NS, Ćerimagić A, Wijtzes AI, Hofman A, Raat H, Moll HA, Rivadeneira F, Jaddoe VWV, Franco OH, Kiefte-de Jong JC. Sugar-containing beverage intake in toddlers and body composition up to age 6 years: the Generation R study. Eur J Clin Nutr 2015; 69:314-21. [PMID: 25649238 DOI: 10.1038/ejcn.2015.2] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2014] [Revised: 12/20/2014] [Accepted: 12/23/2014] [Indexed: 11/09/2022]
Abstract
BACKGROUND/OBJECTIVE Intake of sugar-containing beverages (SCBs) has been associated with higher body mass index (BMI) in childhood. The potential effect of SCB intake during infancy is unclear. We examined the association of SCB intake at 13 months with BMI development until 6 years and body composition at age 6 years. SUBJECTS/METHODS This study included 2371 Dutch children from a population-based prospective cohort study. SCB intake at 13 months was assessed using a Food Frequency Questionnaire with validation against 24-h recalls and was standardized for total energy. BMI was calculated from repeated weight and height measurements, and age- and sex-specific s.d. scores were calculated. Adiposity was measured using Dual-energy X-ray absorptiometry. RESULTS In girls, higher SCB intake at 13 months was significantly associated with higher BMI at ages 2, 3, 4 and 6 years (at age 6 years BMI (s.d. score) increase 0.11 (95% confidence interval (CI) +0.00; 0.23), high versus low intake). We observed a tendency towards higher android/gynoid fat ratio in girls with high intake (s.d. increase 0.14 (95% CI -0.02; 0.29), versus low intake) but not with body fat percentage. In boys, there was no association with BMI or body composition, but boys with high SCB intake at 13 months were taller at age 6 years (s.d. increase 0.14 (95% CI +0.00; 0.27), versus low intake). CONCLUSIONS Higher SCB intake at 13 months was associated with higher BMI up to age 6 years in girls but not in boys. Our results imply that the unfavorable effects of SCB intake start early in life and that dietary advice regarding limiting SCB intake should already be given early in life.
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Affiliation(s)
- E T M Leermakers
- 1] Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands [2] The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - J F Felix
- 1] Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands [2] The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands [3] Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - N S Erler
- 1] Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands [2] Department of Biostatistics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - A Ćerimagić
- Medical Faculty, University of Sarajevo, Sarajevo, Bosnia and Herzegovina
| | - A I Wijtzes
- 1] The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands [2] Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - A Hofman
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - H Raat
- Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - H A Moll
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - F Rivadeneira
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - V W V Jaddoe
- 1] Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands [2] The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands [3] Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - O H Franco
- 1] Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands [2] The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - J C Kiefte-de Jong
- 1] Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands [2] Leiden University College, The Hague, The Netherlands
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