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Balthasar MR, Roelants M, Brannsether-Ellingsen B, Stangenes KM, Magnus MC, Håberg SE, Øverland SN, Júlíusson PB. Evaluating national guidelines for monitoring early growth using routinely collected data in Bergen, Norway. Scand J Public Health 2024; 52:718-725. [PMID: 37496420 PMCID: PMC11308290 DOI: 10.1177/14034948231187513] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Revised: 06/19/2023] [Accepted: 06/25/2023] [Indexed: 07/28/2023]
Abstract
AIMS The overarching aim of this study was to evaluate the Norwegian guidelines for growth monitoring using routinely collected data from healthy children up to five years of age. We analysed criteria for both status (size for age) and change (centile crossing) in growth. METHODS Longitudinal data were obtained from the electronic health record (EHR) at the well-baby clinic for 2130 children included in the Bergen growth study 1 (BGS1). Measurements of length, weight, weight-for-length, body mass index (BMI) and head circumference were converted to z-scores and compared with the World Health Organization (WHO) growth standards and the national growth reference. RESULTS Using the WHO growth standard, the proportion of children above +2SD was generally higher than the expected 2.3% for all traits at birth and for length at all ages. Crossing percentile channels was common during the first two years of life, particularly for length/height. By the age of five years, 37.9% of the children had been identified for follow-up regarding length/height, 33% for head circumference and 13.6% for high weight-for-length/BMI. CONCLUSIONS The proportion of children beyond the normal limits of the charts is higher than expected, and a surprisingly large number of children were identified for rules concerning length or growth in head circumference. This suggests the need for a revision of the current guidelines for growth monitoring in Norway.
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Affiliation(s)
- Melissa R. Balthasar
- Department of Paediatric and Adolescent Medicine, Stavanger University Hospital, Norway
- Department of Clinical Science, University of Bergen, Norway
| | - Mathieu Roelants
- Department of Public Health and Primary Care, KU Leuven, University of Leuven, Belgium
| | | | - Kristine M. Stangenes
- Department of Health Registry and Development, Norwegian Institute of Public Health, Norway
| | - Maria C. Magnus
- Centre for Fertility and Health, Norwegian Institute of Public Health, Norway
| | - Siri E. Håberg
- Centre for Fertility and Health, Norwegian Institute of Public Health, Norway
| | - Simon N. Øverland
- Section for Health Care Collaboration, Haukeland University Hospital, Norway
| | - Pétur B. Júlíusson
- Department of Clinical Science, University of Bergen, Norway
- Department of Health Registry and Development, Norwegian Institute of Public Health, Norway
- Department of Paediatric and Adolescent Medicine, Haukeland University Hospital, Norway
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Rivolo S, Loftus J, Peter B, Fahey M, Kongnakorn T. Cost-effectiveness and cost-utility analysis of somatrogon once-weekly injections vs. daily growth hormone injection for treating paediatric growth hormone deficiency in Ireland. J Med Econ 2023; 26:963-972. [PMID: 37527156 DOI: 10.1080/13696998.2023.2228167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Revised: 06/19/2023] [Accepted: 06/19/2023] [Indexed: 08/03/2023]
Abstract
OBJECTIVES Paediatric growth hormone deficiency (pGHD) manifests as growth failure associated with inadequate growth hormone (GH) production. Daily injections of recombinant human GH (dGH) [somatropin] is the current standard of care, which has been shown to be well tolerated and effective, but associated with suboptimal adherence, leading to reduced effectiveness. Somatrogon, a once-weekly injectable long-acting human GH, has demonstrated clinical non-inferiority and significantly lower life interference (i.e. treatment burden) vs. somatropin in two Phase 3 studies. This work evaluated cost-effectiveness and cost-utility of somatrogon vs dGHs from an Irish payer perspective. METHODS A Markov model was developed for patients starting somatrogon or dGHs treatment at 3-12 years and continuing up to achievement of near adult height (NAH), with growth driven by trial-based height velocity (HV) and treatment-specific adherence. Patients could discontinue treatment at the end of Year 1 (4%). DGH adherence (95.3%-65% over treatment duration) and adherence-growth relationship were based on published evidence. Higher Year 1 adherence of 4%, tapering over time, for somatrogon vs. dGHs was based on clinical consultation. Treatment costs, monitoring costs and costs due to different wastage types (device setting and adherence) were sourced from local data. Health utilities based on height and injection frequency were derived from published literature. Scenario analysis, deterministic and probabilistic sensitivity analysis were performed. RESULTS Somatrogon treatment led to 1.87-3.66 cm greater NAH gain and 0.21-0.50 higher quality adjusted life years (QALYs) vs. dGHs, across the base case and scenarios evaluated. Somatrogon treatment was associated with cost savings of €5,699-€21,974 and lower cost per cm gained vs. dGHs (€197-€527), per patient. Somatrogon was cost-effective vs. dGHs, with the result consistent across the sensitivity analyses conducted. CONCLUSION Somatrogon weekly injections were estimated to result in higher NAH, higher QALYs, lower overall costs and lower costs per cm gained than dGHs, in pGHD.
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German A, Rubin L, Raisin G, Hochberg Z. Family Size and the Age at Infancy-Childhood Transition Determine a Child's Compromised Growth in Large Families. Front Pediatr 2022; 10:821048. [PMID: 35573956 PMCID: PMC9100426 DOI: 10.3389/fped.2022.821048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Accepted: 03/31/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Data on growth of Israeli school children show that children from Jewish ultra-orthodox Haredi and Bedouin Arab families have a higher prevalence of stature below the 3rd percentile. While these populations are usually from lower socioeconomic strata, they also have larger families. This study aimed to evaluate if family structure and the timing of a child's infancy-childhood transition (ICT) are central to variations in stature. STUDY DESIGN We analyzed the association between family size, birth order and inter-birth interval with child growth and the age at ICT in 3 groups of children, 148 high birth order children from large families (LF ≥ 6), 118 low birth order children from large families (LF ≤ 3) and 150 children from small families (SF). RESULTS High birth order children from large families were shorter in childhood than children from small families with a difference of 0.5 SDS in length. We found that birth length and birth order explained 35% of the total variance in infancy length whereas ICT age and infancy length explained 72% of the total variance in childhood length. CONCLUSION Infancy and childhood length are compromised in children from large families. As the family grows larger the younger children tend to be shorter. Reduced length gain in the period between infancy to childhood is when growth is most affected.
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Affiliation(s)
- Alina German
- Department of Pediatrics, Haemek Medical Center, Afula, Israel.,The Ruth and Bruce Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel
| | - Lisa Rubin
- School of Public Health, University of Haifa, Haifa, Israel
| | - Galiya Raisin
- Faculty of Medicine, Hebrew University, Jerusalem, Israel
| | - Ze'ev Hochberg
- The Ruth and Bruce Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel
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4
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Lin Q, Jiang Y, Wang G, Sun W, Dong S, Deng Y, Meng M, Zhu Q, Mei H, Zhou Y, Zhang J, Clayton PE, Spruyt K, Jiang F. Combined effects of weight change trajectories and eating behaviors on childhood adiposity status: A birth cohort study. Appetite 2021; 162:105174. [PMID: 33636216 DOI: 10.1016/j.appet.2021.105174] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2020] [Revised: 02/14/2021] [Accepted: 02/15/2021] [Indexed: 01/06/2023]
Abstract
Previous studies have suggested that infant rapid weight change can be associated with an increased weight later in life. However, the weight change trajectory in early life over time and which childhood lifestyle behaviors may modify the risk of rapid weight change have not been characterized. Using our ongoing birth cohort study, we have addressed these issues. Nine follow-up time points (birth, 3, 6, 9, 12, 18, 24, 36, and 48 months) were used to calculate the change between two adjacent weight-for-age z-scores (WAZ-change), and then WAZ-change trajectories were defined via group-based trajectory modeling. The solitary, independent and combined effects of WAZ-change trajectories and each lifestyle factor (eating behaviors, physical activity, media exposure time and total sleep duration) on childhood adiposity measures at age 4 years were determined using multivariate regression analysis. Overall, 84 (38%) children had a steady growth trajectory from birth to 4 years, while the other 137 (62%) children had an early infancy rapid growth trajectory, particularly in the first three months. Compared to children with steady growth, children with early infancy rapid growth had a significantly higher body mass index, waist circumference, and subcutaneous fat. Moreover, weight change trajectory and three eating behaviors (i.e. food responsiveness, satiety responsiveness and food fussiness), not only had independent effects, but also combined (synergistic) effects on the majority of adiposity measures. Our results extend the current literature and provide a potentially valuable model to aid clinicians and health professionals in designing early-life interventions targeting specific populations, specific ages and specific lifestyle behaviors to prevent childhood overweight/obesity.
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Affiliation(s)
- Qingmin Lin
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; MOE-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China.
| | - Yanrui Jiang
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; MOE-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China.
| | - Guanghai Wang
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; MOE-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China.
| | - Wanqi Sun
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; MOE-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China.
| | - Shumei Dong
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; MOE-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China.
| | - Yujiao Deng
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; MOE-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China.
| | - Min Meng
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; MOE-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China.
| | - Qi Zhu
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; MOE-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China.
| | - Hao Mei
- Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; Department of Data Science, School of Population Health, University of Mississippi Medical Center, Jackson, MS 39216, USA.
| | - Yingchun Zhou
- KLATASDS-MOE, School of Statistics, East China Normal University, Shanghai 200062, China.
| | - Jun Zhang
- MOE-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China; School of Public Health, Shanghai Jiao Tong University, Shanghai 200025, China.
| | - Peter E Clayton
- Division of Developmental Biology and Medicine, Faculty of Biology, Medicine and Health, University of Manchester and Manchester Academic Health Science Centre, Manchester M13 9PL, United Kingdom.
| | - Karen Spruyt
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; INSERM, University Claude Bernard, School of Medicine, Lyon, France.
| | - Fan Jiang
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; MOE-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China.
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Quinn EA. Centering human milk composition as normal human biological variation. Am J Hum Biol 2021; 33:e23564. [DOI: 10.1002/ajhb.23564] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2020] [Revised: 11/25/2020] [Accepted: 12/23/2020] [Indexed: 02/06/2023] Open
Affiliation(s)
- Elizabeth A. Quinn
- Department of Anthropology Washington University in St. Louis Saint Louis Missouri USA
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Nyati LH, Pettifor JM, Ong KK, Norris SA. Adolescent growth and BMI and their associations with early childhood growth in an urban South African cohort. Am J Hum Biol 2020; 33:e23469. [PMID: 32808697 DOI: 10.1002/ajhb.23469] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2019] [Revised: 06/08/2020] [Accepted: 06/09/2020] [Indexed: 11/08/2022] Open
Abstract
OBJECTIVES The timing and magnitude of adolescent growth may be influenced by ethnicity and early life factors. We aimed to (a) characterize ethnic differences in the magnitude, timing, and intensity of adolescent growth in height, weight, and BMI; (b) assess the effect of early childhood growth on adolescent growth in black children. METHODS Data were from the Birth to Twenty Plus cohort (Bt20+) in Johannesburg, South Africa (n = 3273). Height, weight, and BMI were modeled with ethnic comparisons using the SuperImposition by Translation and Rotation for 2089 participants who had data from 7 to 23 years. Relative weight gain and relative linear growth between 0 and 24 months and 24 and 60 months were generated. Multiple regression analyses were used to assess associations between childhood and adolescent growth. RESULTS White children were 5 cm (SE: 0.7) taller than black children through adolescence. Black boys had a later timing of adolescent height (0.65 years ±0.12) than white boys, which in black girls was 0.24 years (0.11) earlier than in white girls. Black girls had faster BMI velocity than white girls. Among black children, birth weight and both relative weight gain 0 to 24 and relative linear growth between 3 and 24 months and 24 and 60 months were positively associated with the magnitude of adolescent growth and negatively associated with timing. CONCLUSION Sex dimorphism in ethnic differences in timing of adolescent height growth may reflect some yet unexplained drivers for rapid weight gain and obesity in black females but not black males. Rapid weight gain in early life may contribute to faster adiposity accrual in adolescence.
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Affiliation(s)
- Lukhanyo H Nyati
- SAMRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - John M Pettifor
- SAMRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Ken K Ong
- SAMRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.,MRC Epidemiology Unit and Department of Paediatrics, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Shane A Norris
- SAMRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
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Bernstein RM, O'Connor GK, Vance EA, Affara N, Drammeh S, Dunger DB, Faal A, Ong KK, Sosseh F, Prentice AM, Moore SE. Timing of the Infancy-Childhood Growth Transition in Rural Gambia. Front Endocrinol (Lausanne) 2020; 11:142. [PMID: 32265838 PMCID: PMC7105771 DOI: 10.3389/fendo.2020.00142] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Accepted: 03/02/2020] [Indexed: 11/23/2022] Open
Abstract
The Karlberg model of human growth describes the infancy, childhood, and puberty (ICP) stages as continuous and overlapping, and defined by transitions driven by sequential additional effects of several endocrine factors that shape the growth trajectory and resultant adult size. Previous research has suggested that a delayed transition from the infancy to the childhood growth stage contributes to sub-optimal growth outcomes. A new method developed to analyze the structure of centile crossing in early life has emerged as a potential tool for identifying the infancy-childhood transition (ICT), through quantifying patterns of adjacent monthly weight-for-age z-score (WAZ) deviation correlations. Using this method, the infancy-childhood transition was identified as taking place at around 12 months of age in two cohorts of UK infants. Here, we apply this method to data collected as part of a longitudinal growth study in rural Gambia [the Hormonal and Epigenetic Regulators of Growth, or HERO-G study, N = 212 (F = 99, M = 113)], in order to identify the ICT and assess whether timing of this transition differs across groups based on sex or birth seasonality. We calculated Pearson correlation coefficients for adjacent monthly WAZ score deviations. Based on the patterns of change in the correlation structure over time, our results suggest that the infancy-childhood transition occurs at around 9 months of age in rural Gambian infants. This points to an accelerated ICT compared to UK infants, rather than a delayed ICT. A comparatively later transition, seen in UK infants, allows maximal extension of the high rates of growth during the infancy stage; an earlier transition as seen in Gambian infants cuts short this period of rapid growth, potentially impacting on growth outcomes in childhood while diverting energy into other processes critical to responses to acute infectious challenges. Growth in later developmental stages in this population offers an extended window for catch-up.
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Affiliation(s)
- Robin M. Bernstein
- Growth and Development Lab, Department of Anthropology, University of Colorado, Boulder, CO, United States
- Institute of Behavioral Science, University of Colorado, Boulder, CO, United States
| | - G. Kesler O'Connor
- Laboratory for Interdisciplinary Statistical Analysis (LISA), Department of Applied Mathematics, University of Colorado, Boulder, CO, United States
| | - Eric A. Vance
- Laboratory for Interdisciplinary Statistical Analysis (LISA), Department of Applied Mathematics, University of Colorado, Boulder, CO, United States
| | - Nabeel Affara
- Department of Pathology, University of Cambridge, Cambridge, United Kingdom
| | - Saikou Drammeh
- MRC Unit The Gambia, London School of Hygiene and Tropical Medicine, Banjul, Gambia
| | - David B. Dunger
- Department of Pediatrics, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Abdoulie Faal
- MRC Unit The Gambia, London School of Hygiene and Tropical Medicine, Banjul, Gambia
| | - Ken K. Ong
- Department of Pediatrics, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Fatou Sosseh
- MRC Unit The Gambia, London School of Hygiene and Tropical Medicine, Banjul, Gambia
| | - Andrew M. Prentice
- MRC Unit The Gambia, London School of Hygiene and Tropical Medicine, Banjul, Gambia
| | - Sophie E. Moore
- MRC Unit The Gambia, London School of Hygiene and Tropical Medicine, Banjul, Gambia
- Department of Women and Children's Health, King's College London, London, United Kingdom
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Moore SE, Doel AM, Ong KK, Dunger DB, Affara NA, Prentice AM, Bernstein RM. Identification of nutritionally modifiable hormonal and epigenetic drivers of positive and negative growth deviance in rural African fetuses and infants: Project protocol and cohort description. Gates Open Res 2020; 4:25. [PMID: 33693312 PMCID: PMC7921526 DOI: 10.12688/gatesopenres.13101.1] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/13/2020] [Indexed: 11/20/2022] Open
Abstract
Growth retardation (stunting, wasting and poor organ development) among children in low-income countries has major short and long-term health consequences yet very little is known about the nutritional and environmental influences on the key hormonal axes regulating child growth in these settings, nor the tempo and timing of faltering episodes. Here we describe the study protocol and provide a cohort description of the Hormonal and Epigenetic Regulators of Growth (HERO-G) study. This prospective cohort study from rural Gambia, West Africa, followed mothers and children longitudinally from pre-conception, through pregnancy, delivery, and to two years of child age A total of 251 eligible mother-infant pairs were recruited into the HERO-G study, with 206 (82%) followed up until two years of age. Women were seen at scheduled antenatal appointments at 20, 28 and 36 weeks of gestation, and at delivery, where possible. Between one week and 12 months of age, infants were visited every second day for collection of detailed anthropometry and morbidity data. Infants identified as about to enter a growth faltering episode at these visits entered a more detailed 20-day protocol, with the collection of dried blood spots, anthropometry and body composition. All infants were seen for scheduled clinic visits at 3, 6, 9, 12, 18 and 24 months of age for clinical examination and venous blood draw. Data from the HERO-G study is being used to explore three major mechanistic pathways influencing growth: 1) genome-wide investigations for signatures of epigenetic effects on any loci that might affect growth; 2) frequent anthropometric measurement coupled with non-invasive monitoring for rapid identification and interrogation of real-time faltering patterns and aetiology; 3) focused measurement of hormones and cytokines that act together in an integrated manner, both in utero and after birth, to coordinate patterns of growth with immune activation, inflammation, and nutritional status.
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Affiliation(s)
- Sophie E Moore
- Department of Women and Children's Health, King's College London SE1 1UL, London, UK.,MRC Unit The Gambia, London School of Hygiene & Tropical Medicine, Fajara, The Gambia
| | - Andrew M Doel
- Department of Women and Children's Health, King's College London SE1 1UL, London, UK
| | - Ken K Ong
- Department of Paediatrics, University of Cambridge Addenbrooke's Hospital Cambridge, Cambridge, UK
| | - David B Dunger
- Department of Paediatrics, University of Cambridge Addenbrooke's Hospital Cambridge, Cambridge, UK
| | - Nabeel A Affara
- Department of Pathology, University of Cambridge, Cambridge, UK
| | - Andrew M Prentice
- MRC Unit The Gambia, London School of Hygiene & Tropical Medicine, Fajara, The Gambia
| | - Robin M Bernstein
- Department of Anthropology, University of Colorado, Boulder, CO, 80309, USA.,Health and Society Program, Institute of Behavioral Science, University of Colorado, Boulder, CO, USA
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Shokry E, Marchioro L, Uhl O, Bermúdez MG, García-Santos JA, Segura MT, Campoy C, Koletzko B. Transgenerational cycle of obesity and diabetes: investigating possible metabolic precursors in cord blood from the PREOBE study. Acta Diabetol 2019; 56:1073-1082. [PMID: 31062097 DOI: 10.1007/s00592-019-01349-y] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2019] [Accepted: 04/16/2019] [Indexed: 02/06/2023]
Abstract
AIMS Offspring of mothers suffering from obesity and/or gestational diabetes mellitus (GDM) were reported to be at risk of higher birth weight (BW), later obesity and diabetes. We hypothesize that infant anthropometry changes related to maternal pathological status are due to dysregulated infant metabolism. METHODS First, we inspected differences in BMI z-scores (z-BMI) between three infant groups: born to normal weight (NW; n = 49), overweight/obese (OV/OB; n = 40) and GDM mothers (n = 27) at birth and 1 year. Then, we inspected associations between cord blood metabolites and 1-year Δ z-BMI in the three infant groups at birth and 1 year. RESULTS No statistically significant difference was detected in z-BMI between the study groups at birth; however, GDM was associated with heavier infants at 1 year. Regarding the associations between the metabolites and z-BMI, phospholipids, especially those containing polyunsaturated fatty acids, were the species most impacted by the maternal metabolic status, since numerous phosphatidylcholines-PUFA were positively associated with z-BMI in NW but negatively in OV/OB and GDM groups at birth. Conversely, the sum of lysophosphatidylcholines was only positively associated with z-BMI in NW at birth but of no relation in the other two groups. At 1 year, most of the associations seen at birth were reversed in NW and lost in OV/OB and GDM groups. In the NW group, PC-PUFA were found to be negatively associated with Δ z-BMI at 1 year in addition to some medium-chain acylcarnitines, tricarboxylic acid metabolites, Asp and Asn-to-Asp ratio. In OV/OB and GDM groups, the non-esterified fatty acid (NEFA26:0) and His correlated with Δ z-BMI at 1 year in negative and positive directions, respectively. CONCLUSIONS GDM was associated with overweight in offspring at 1 year, independent of the BW with lack of evidence on existing correlation of this finding with metabolic alterations detected in cord blood metabolome. Associations were found between cord blood metabolites and infant anthropometry at birth and were influenced by maternal OB and GDM. However, an extension of the findings monitored at birth among the three groups was not detected longitudinally showing a lack of predictive power of cord blood metabolome for later development at least 1 year.
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Affiliation(s)
- Engy Shokry
- Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, LMU-Ludwig-Maximilians-Universität München, University of Munich Medical Centre, Campus Innenstadt, Lindwurmstr. 4, 80337, Munich, Germany
| | - Linda Marchioro
- Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, LMU-Ludwig-Maximilians-Universität München, University of Munich Medical Centre, Campus Innenstadt, Lindwurmstr. 4, 80337, Munich, Germany
| | - Olaf Uhl
- Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, LMU-Ludwig-Maximilians-Universität München, University of Munich Medical Centre, Campus Innenstadt, Lindwurmstr. 4, 80337, Munich, Germany
| | - Mercedes G Bermúdez
- Department of Paediatrics, School of Medicine, EURISTIKOS Excellence Centre for Paediatric Research, University of Granada, Avenida de la Investigación 11, 18016, Granada, Spain
| | - Jose Antonio García-Santos
- Department of Paediatrics, School of Medicine, EURISTIKOS Excellence Centre for Paediatric Research, University of Granada, Avenida de la Investigación 11, 18016, Granada, Spain
| | - Mª Teresa Segura
- Department of Paediatrics, School of Medicine, EURISTIKOS Excellence Centre for Paediatric Research, University of Granada, Avenida de la Investigación 11, 18016, Granada, Spain
| | - Cristina Campoy
- Department of Paediatrics, School of Medicine, EURISTIKOS Excellence Centre for Paediatric Research, University of Granada, Avenida de la Investigación 11, 18016, Granada, Spain
| | - Berthold Koletzko
- Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, LMU-Ludwig-Maximilians-Universität München, University of Munich Medical Centre, Campus Innenstadt, Lindwurmstr. 4, 80337, Munich, Germany.
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Smith-Brown P, Morrison M, Krause L, Newby R, Davies PS. Growth and protein-rich food intake in infancy is associated with fat-free mass index at 2-3 years of age. J Paediatr Child Health 2018; 54:770-775. [PMID: 29493037 DOI: 10.1111/jpc.13863] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2017] [Revised: 11/14/2017] [Accepted: 11/26/2017] [Indexed: 02/02/2023]
Abstract
AIM The reduction of infant protein intake and associated growth velocity is a recommended public health strategy for reducing the risk of childhood obesity. This study tests the hypothesis that infants' growth and protein-rich food (dairy, meat, fish and egg) intake influences childhood body size and composition at 2-3 years of age. METHODS Thirty-six children were studied from the Feeding Queensland Babies Study Cohort, which prospectively collected data on infant growth and diet. Body composition was estimated using the deuterium oxide dilution technique at 2-3 years of age. RESULTS Fat-free mass index Z score at 2-3 years of age was positively associated with animal protein food (dairy, meat, fish and egg) intake at 12 months of age (r = 0.58, P = 0.002, false discovery rate corrected P value = 0.008) and negatively associated with weight-for-length growth velocity from 6 to 12 months of age (r = -0.75, P = 0.019, false discovery rate corrected P value = 0.038), which in turn was negatively associated with growth velocity from 0 to 6 months of age (r = -0.790, P = 0.007). CONCLUSION This study suggests that strategies to reduce protein intake and growth velocity in early life may limit fat-free mass growth, potentially predisposing to increased adiposity in later life.
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Affiliation(s)
- Paula Smith-Brown
- Children's Nutrition Research Centre, Child Health Research Centre, Brisbane, Queensland, Australia
| | - Mark Morrison
- University of Queensland Diamantina Institute, Translational Research Institute, University of Queensland, Brisbane, Queensland, Australia
| | - Lutz Krause
- University of Queensland Diamantina Institute, Translational Research Institute, University of Queensland, Brisbane, Queensland, Australia
| | - Ruth Newby
- Children's Nutrition Research Centre, Child Health Research Centre, Brisbane, Queensland, Australia.,School of Nursing, Midwifery and Paramedicine, University of the Sunshine Coast, Brisbane, Queensland, Australia
| | - Peter Sw Davies
- Children's Nutrition Research Centre, Child Health Research Centre, Brisbane, Queensland, Australia
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Bernstein RM. Hormones and Human and Nonhuman Primate Growth. Horm Res Paediatr 2018; 88:15-21. [PMID: 28528334 DOI: 10.1159/000476065] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2016] [Accepted: 04/24/2017] [Indexed: 11/19/2022] Open
Abstract
The aim of this paper was to review information pertaining to the hormonal regulation of nonhuman primate growth, with specific focus on the growth hormone (GH)-insulin-like growth factor (IGF) axis and adrenal androgens. Hormones of the GH-IGF axis are consistently associated with measures of growth - linear, weight, or both - during the growth period; in adulthood, concentrations of IGF-I, IGF-binding protein-3, and GH-binding protein are not associated with any measures of size. Comparing patterns of dehydroepiandrosterone (DHEA) and DHEA sulfate (DHEAS) may be especially relevant for understanding whether the childhood stage of growth and development is unique to humans and perhaps other apes. Genetic, hormonal, and morphological data on adrenarche in other nonhuman primate species suggest that this endocrine transition is delayed in humans, chimpanzees, and possibly gorillas, while present very early in postnatal life in macaques. This suggests that although perhaps permitted by an extension of the pre-adolescent growth period, childhood builds upon existing developmental substrates rather than having been inserted de novo into an ancestral growth trajectory. Hormones can provide insight regarding the evolution of the human growth trajectory.
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