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Alt KW, Honrath N, Weykamp M, Grönebaum P, Nicklisch N, Vach W. The Correlation of Tooth Sizes and Jaw Dimensions with Biological Sex and Stature in a Contemporary Central European Population. BIOLOGY 2024; 13:569. [PMID: 39194507 DOI: 10.3390/biology13080569] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/02/2024] [Revised: 06/26/2024] [Accepted: 07/24/2024] [Indexed: 08/29/2024]
Abstract
Dental anthropology provides a deep insight into biological, ecological and cultural aspects associated with human individuality, behaviour and living conditions and the environment. Our study uses a correlation analysis to test the metric relationships between tooth sizes and jaw dimensions and juxtaposes them with biological sex and stature. A sample of n = 100 dental casts was used to record metric dental data including the mesio-distal and bucco-lingual tooth crown diameters and nine upper and lower jaw dimensions. All crown diameters were highly correlated with both stature and biological sex, with the canines exhibiting the highest correlation. The majority of jaw dimensions exhibited similar correlations. Our results suggest that the differences between the sexes in most crown diameters and some jaw dimensions may be related to the stature of the individuals measured. Two groups of closely correlating features emerged among the jaw dimensions, differing in their degree of correlation with crown diameters and with sex. The results and insights obtained are highly relevant for evolutionary biology, dentistry, craniofacial research, bioarchaeology and forensic odontology.
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Affiliation(s)
- Kurt W Alt
- Center of Natural and Cultural Human History, Faculty of Medicine and Dentistry, Danube Private University, Förthofstrasse 2, 3500 Krems-Stein, Austria
- Institute of Prehistory and Archaeological Science, Department of Environmental Sciences, University of Basel, Spalenring 145, 4055 Basel, Switzerland
| | - Nils Honrath
- Center of Natural and Cultural Human History, Faculty of Medicine and Dentistry, Danube Private University, Förthofstrasse 2, 3500 Krems-Stein, Austria
| | - Maximilian Weykamp
- Center of Natural and Cultural Human History, Faculty of Medicine and Dentistry, Danube Private University, Förthofstrasse 2, 3500 Krems-Stein, Austria
| | - Peter Grönebaum
- Center of Natural and Cultural Human History, Faculty of Medicine and Dentistry, Danube Private University, Förthofstrasse 2, 3500 Krems-Stein, Austria
| | - Nicole Nicklisch
- Center of Natural and Cultural Human History, Faculty of Medicine and Dentistry, Danube Private University, Förthofstrasse 2, 3500 Krems-Stein, Austria
| | - Werner Vach
- Institute of Prehistory and Archaeological Science, Department of Environmental Sciences, University of Basel, Spalenring 145, 4055 Basel, Switzerland
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Brand J, Yeum D, Stewart T, Emond JA, Gilbert-Diamond D. The associations between attentional bias to food cues, parent-report appetitive traits, and concurrent adiposity among adolescents. Eat Behav 2024; 53:101874. [PMID: 38636439 PMCID: PMC11144077 DOI: 10.1016/j.eatbeh.2024.101874] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Revised: 03/27/2024] [Accepted: 03/28/2024] [Indexed: 04/20/2024]
Abstract
OBJECTIVE To assess whether attentional bias to food cues and appetitive traits are independently and interactively associated with adiposity in adolescents. METHOD Eighty-five adolescents, 14-17-years had their attentional bias to food images measured in a sated state by computing eye tracking measures of attention (first fixation duration, cumulative fixation duration) to food and control distractor images that bordered a computer game. Parents reported adolescent appetitive traits including the food approach domains of enjoyment of food, food responsiveness, emotional overeating, and the food avoidance domains of satiety responsiveness and emotional overeating through the Children's Eating Behavior Questionnaire. RESULTS First fixation bias to food cues was positively associated with enjoyment of food, and negatively associated with satiety responsiveness. In a series of regression models adjusted for relevant covariates, first fixation bias to food cues (β = 0.83, p = 0.007), higher food responsiveness (β = 0.74, p < 0.001), higher emotional overeating (β = 0.51, p = 0.002), and a composite appetite score (β = 1.42, p < 0.001) were each significantly associated with greater BMI z-scores. In models assessing the interactive effects between attentional bias and appetitive traits, higher first fixation bias to food cues interacted synergistically with food responsiveness and emotional overeating in relation to BMI z-score. A synergistic interaction between first fixation bias to food cues and the composite appetite score in relation to BMI z-score was also observed. CONCLUSION Individuals with high attentional bias to food cues and obesogenic appetitive traits may be particularly susceptible to weight gain.
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Affiliation(s)
- John Brand
- Department of Epidemiology, Geisel School of Medicine at Dartmouth College, Hanover, NH, United States; Dartmouth Cancer Center, Lebanon, NH, United States.
| | - Dabin Yeum
- Department of Epidemiology, Geisel School of Medicine at Dartmouth College, Hanover, NH, United States
| | - Tessa Stewart
- Department of Epidemiology, Geisel School of Medicine at Dartmouth College, Hanover, NH, United States
| | - Jennifer A Emond
- Department of Pediatrics, Geisel School of Medicine at Dartmouth College, Hanover, NH, United States; Department of Biomedical Data Sciences, Geisel School of Medicine at Dartmouth College, Hanover, NH, United States
| | - Diane Gilbert-Diamond
- Department of Epidemiology, Geisel School of Medicine at Dartmouth College, Hanover, NH, United States; Dartmouth Cancer Center, Lebanon, NH, United States; Department of Pediatrics, Geisel School of Medicine at Dartmouth College, Hanover, NH, United States; Department of Medicine, Geisel School of Medicine at Dartmouth, Hanover, NH, United States
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Wong RS, Tung KTS, Ho FKW, Rao N, Chan KL, Ip P. Longitudinal associations between child discipline methods and physical growth patterns across preschool years. Obesity (Silver Spring) 2024; 32:778-787. [PMID: 38233354 DOI: 10.1002/oby.23977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2023] [Revised: 11/16/2023] [Accepted: 12/02/2023] [Indexed: 01/19/2024]
Abstract
OBJECTIVE Research has documented the associations of child maltreatment with a range of physical health problems, but little is known about the physical growth patterns of children who experience maltreatment in early childhood. This study aimed to examine the association between various discipline approaches and physical growth in preschool-aged children. METHODS In the first year of preschool, parents of 661 Chinese preschool-aged children completed a questionnaire with items pertaining to the frequency of using physical maltreatment, psychological aggression, neglect, and nonviolent discipline toward the child. Children's weight and height were assessed annually using direct assessment in the first and two subsequent years. Longitudinal analyses were performed using multiple regression models. RESULTS More frequent neglect and psychological aggression during the first year of preschool were associated with a higher likelihood of a decreased BMI z score in subsequent years. Conversely, increased experience of physical maltreatment in the first year was associated with an increased likelihood of having overweight or obesity in the third year. CONCLUSIONS Results indicate that early maltreatment experience can impact physical growth. This highlights the importance of preventing abusive parenting and encouraging healthy habits in young children who have experienced maltreatment to decrease their future risk for weight problems.
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Affiliation(s)
- Rosa S Wong
- Department of Special Education and Counselling, The Education University of Hong Kong, Hong Kong SAR, China
| | - Keith T S Tung
- Department of Paediatrics and Adolescent Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Frederick K W Ho
- School of Health & Wellbeing, University of Glasgow, Glasgow, UK
| | - Nirmala Rao
- Faculty of Education, The University of Hong Kong, Hong Kong SAR, China
| | - Ko Ling Chan
- Department of Applied Social Sciences, The Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Patrick Ip
- Department of Paediatrics and Adolescent Medicine, The University of Hong Kong, Hong Kong SAR, China
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Choi SY, Choi S, Choe BH, Park JH, Choi KH, Lee HJ, Park JS, Seo JH, Kim JY, Jang HJ, Hong SJ, Kim EY, Lee YJ, Kang B. Factors Associated with Reaching Mid-Parental Height in Patients Diagnosed with Inflammatory Bowel Disease in Childhood and Adolescent Period. Gut Liver 2024; 18:106-115. [PMID: 37638380 PMCID: PMC10791497 DOI: 10.5009/gnl220421] [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: 09/28/2022] [Revised: 02/01/2023] [Accepted: 04/06/2023] [Indexed: 08/29/2023] Open
Abstract
Background/Aims The recent update on the Selecting Therapeutic Targets in Inflammatory Bowel Disease initiative has added normal growth in children as an intermediate target in Crohn's disease and ulcerative colitis. We aimed to investigate factors associated with reaching mid-parental height (MPH) in patients diagnosed with inflammatory bowel disease in childhood and the adolescent period. Methods This multicenter retrospective observational study included pediatric patients with inflammatory bowel disease that had reached adult height. Factors associated with reaching MPH were investigated by logistic regression analyses. Results A total of 166 patients were included in this study (128 Crohn's disease and 38 ulcerative colitis). Among them, 54.2% (90/166) had reached their MPH. Multivariable logistic regression analysis revealed that height Z-score at diagnosis and MPH Z-score were independently associated with reaching MPH (odds ratio [OR], 8.45; 95% confidence interval [CI], 4.44 to 17.90; p<0.001 and OR, 0.11; 95% CI, 0.04 to 0.24; p<0.001, respectively). According to the receiver operating characteristic curve analysis, the optimal cutoff level of "height Z-score at diagnosis minus MPH Z-score" that was associated with reaching MPH was -0.01 with an area under the curve of 0.889 (95% CI [0.835 to 0.944], sensitivity 88.9%, specificity 84.2%, positive predictive value 87.0%, negative predictive value 86.5%, p<0.001). Conclusions Height Z-score at diagnosis and MPH Z-score were the only factors associated with reaching MPH. Efforts should be made to restore growth in pediatric patients who present with a negative "height Z-score at diagnosis minus MPH Z-score."
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Affiliation(s)
- So Yoon Choi
- Department of Pediatrics, Kosin University Gospel Hospital, Kosin University College of Medicine, Busan, Korea
| | - Sujin Choi
- Department of Pediatrics, School of Medicine, Kyungpook National University, Daegu, Korea
- Crohn's and Colitis Association in Daegu-Gyeongbuk (CCAiD), Daegu, Korea
| | - Byung-Ho Choe
- Department of Pediatrics, School of Medicine, Kyungpook National University, Daegu, Korea
- Crohn's and Colitis Association in Daegu-Gyeongbuk (CCAiD), Daegu, Korea
| | - Jae Hong Park
- Department of Pediatrics, Pusan National University Yangsan Hospital, Pusan National University College of Medicine, Yangsan, Korea
| | - Kwang-Hae Choi
- Crohn's and Colitis Association in Daegu-Gyeongbuk (CCAiD), Daegu, Korea
- Department of Pediatrics, Yeungnam University School of Medicine, Daegu, Korea
| | - Hae Jeong Lee
- Department of Pediatrics, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon, Korea
| | - Ji Sook Park
- Department of Pediatrics, Gyeongsang National University Hospital, Jinju, Korea
| | - Ji-Hyun Seo
- Department of Pediatrics, Gyeongsang National University Hospital, Jinju, Korea
| | - Jae Young Kim
- Department of Pediatrics, Gyeongsang National University Changwon Hospital, Changwon, Korea
| | - Hyo-Jeong Jang
- Crohn's and Colitis Association in Daegu-Gyeongbuk (CCAiD), Daegu, Korea
- Department of Pediatrics, Keimyung University School of Medicine, Daegu, Korea
| | - Suk Jin Hong
- Crohn's and Colitis Association in Daegu-Gyeongbuk (CCAiD), Daegu, Korea
- Departments of Pediatrics, Daegu Catholic University School of Medicine, Daegu, Korea
| | - Eun Young Kim
- Crohn's and Colitis Association in Daegu-Gyeongbuk (CCAiD), Daegu, Korea
- Departments of Internal Medicine, Daegu Catholic University School of Medicine, Daegu, Korea
| | - Yeoun Joo Lee
- Department of Pediatrics, Pusan National University Yangsan Hospital, Pusan National University College of Medicine, Yangsan, Korea
| | - Ben Kang
- Department of Pediatrics, School of Medicine, Kyungpook National University, Daegu, Korea
- Crohn's and Colitis Association in Daegu-Gyeongbuk (CCAiD), Daegu, Korea
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Krichevski M, Calderon-Margalit R, Carmi S, Raz R. The heritability of weight gain in infancy: A population-based twin study. Paediatr Perinat Epidemiol 2023; 37:577-585. [PMID: 37282801 DOI: 10.1111/ppe.12991] [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: 01/26/2023] [Revised: 05/19/2023] [Accepted: 05/22/2023] [Indexed: 06/08/2023]
Abstract
BACKGROUND Rapid weight gain during infancy is a strong predictor of childhood obesity and is affected by genetic and environmental factors. Identifying ages with low heritability will allow for targeted interventions that might be able to prevent the adverse effects of childhood obesity. OBJECTIVES The objective of the study is to estimate the heritability of weight gain from birth to defined ages during infancy, as well as during 6-month periods from birth to 18 months of age. We address this by leveraging large-scale computerised anthropometric data from the state-run network of well-baby clinics in Israel. METHODS We performed a population-based twin study. We extracted weight measurements recorded between birth to 24 months from well-baby clinics for 9388 twin pairs born in Israel between 2011 and 2015. The reported sexes of the twins were used as a proxy for their zygosity status. We estimated the heritability of the weight z-score change from birth to specific ages and during particular periods in infancy. To assess the validity of the results, we repeated the analysis in a sub-cohort of twin pairs with complete weight measurements. RESULTS During the first 2 years of life, heritability was lowest for birthweight (h 2 = 0.40 ± 0.11 ). Heritability for weight gain since birth was highest at 4 months (h 2 = 0.87 ± 0.13 ), and then gradually decreased until age 18 months (h 2 = 0.62 ± 0.13 ). Estimating the heritability in 6-month intervals from birth to 18 months, heritability was highest during the 6-12-month interval (h 2 = 0.84 ± 0.14 ), and was substantially lower during the subsequent 12-18-month interval (h 2 = 0.43 ± 0.16 ). CONCLUSIONS Heritability of weight gain decreases substantially in the second year of life, suggesting that this period could be an appropriate time for interventions for infants who are at an increased risk of childhood obesity.
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Affiliation(s)
- Masha Krichevski
- Braun School of Public Health and Community Medicine, The Hebrew University of Jerusalem - Hadassah, Jerusalem, Israel
- Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Ronit Calderon-Margalit
- Braun School of Public Health and Community Medicine, The Hebrew University of Jerusalem - Hadassah, Jerusalem, Israel
| | - Shai Carmi
- Braun School of Public Health and Community Medicine, The Hebrew University of Jerusalem - Hadassah, Jerusalem, Israel
| | - Raanan Raz
- Braun School of Public Health and Community Medicine, The Hebrew University of Jerusalem - Hadassah, Jerusalem, Israel
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Gatidis S, Kart T, Fischer M, Winzeck S, Glocker B, Bai W, Bülow R, Emmel C, Friedrich L, Kauczor HU, Keil T, Kröncke T, Mayer P, Niendorf T, Peters A, Pischon T, Schaarschmidt BM, Schmidt B, Schulze MB, Umutle L, Völzke H, Küstner T, Bamberg F, Schölkopf B, Rueckert D. Better Together: Data Harmonization and Cross-Study Analysis of Abdominal MRI Data From UK Biobank and the German National Cohort. Invest Radiol 2023; 58:346-354. [PMID: 36729536 PMCID: PMC10090309 DOI: 10.1097/rli.0000000000000941] [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: 09/15/2022] [Accepted: 10/28/2022] [Indexed: 02/03/2023]
Abstract
OBJECTIVES The UK Biobank (UKBB) and German National Cohort (NAKO) are among the largest cohort studies, capturing a wide range of health-related data from the general population, including comprehensive magnetic resonance imaging (MRI) examinations. The purpose of this study was to demonstrate how MRI data from these large-scale studies can be jointly analyzed and to derive comprehensive quantitative image-based phenotypes across the general adult population. MATERIALS AND METHODS Image-derived features of abdominal organs (volumes of liver, spleen, kidneys, and pancreas; volumes of kidney hilum adipose tissue; and fat fractions of liver and pancreas) were extracted from T1-weighted Dixon MRI data of 17,996 participants of UKBB and NAKO based on quality-controlled deep learning generated organ segmentations. To enable valid cross-study analysis, we first analyzed the data generating process using methods of causal discovery. We subsequently harmonized data from UKBB and NAKO using the ComBat approach for batch effect correction. We finally performed quantile regression on harmonized data across studies providing quantitative models for the variation of image-derived features stratified for sex and dependent on age, height, and weight. RESULTS Data from 8791 UKBB participants (49.9% female; age, 63 ± 7.5 years) and 9205 NAKO participants (49.1% female, age: 51.8 ± 11.4 years) were analyzed. Analysis of the data generating process revealed direct effects of age, sex, height, weight, and the data source (UKBB vs NAKO) on image-derived features. Correction of data source-related effects resulted in markedly improved alignment of image-derived features between UKBB and NAKO. Cross-study analysis on harmonized data revealed comprehensive quantitative models for the phenotypic variation of abdominal organs across the general adult population. CONCLUSIONS Cross-study analysis of MRI data from UKBB and NAKO as proposed in this work can be helpful for future joint data analyses across cohorts linking genetic, environmental, and behavioral risk factors to MRI-derived phenotypes and provide reference values for clinical diagnostics.
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Affiliation(s)
- Sergios Gatidis
- From the Empirical Inference Department, Max-Planck Institute for Intelligent Systems
- Medical Image and Data Analysis Lab, Department of Radiology, University Hospital Tübingen, Tübingen, Germany
- Biomedical Image Analysis Group, Department of Computing, Imperial College London, London, United Kingdom
| | - Turkay Kart
- Biomedical Image Analysis Group, Department of Computing, Imperial College London, London, United Kingdom
| | - Marc Fischer
- Institute of Signal Processing and System Theory, University of Stuttgart, Stuttgart, Germany
| | - Stefan Winzeck
- Biomedical Image Analysis Group, Department of Computing, Imperial College London, London, United Kingdom
| | - Ben Glocker
- Biomedical Image Analysis Group, Department of Computing, Imperial College London, London, United Kingdom
| | - Wenjia Bai
- Biomedical Image Analysis Group, Department of Computing, Imperial College London, London, United Kingdom
- Department of Brain Sciences, Imperial College London, London, United Kingdom
| | - Robin Bülow
- Institute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald
| | - Carina Emmel
- Institute for Medical Informatics, Biometry, and Epidemiology, University Hospital of Essen, Essen
| | - Lena Friedrich
- Department of Diagnostic and Interventional Radiology, University Hospital Augsburg, Augsburg
| | - Hans-Ulrich Kauczor
- Clinic for Diagnostic and Interventional Radiology, Heidelberg University Hospital, Heidelberg
| | - Thomas Keil
- Institute of Social Medicine, Epidemiology and Health Economics, Charité–Universitätsmedizin Berlin, Berlin
- Institute of Clinical Epidemiology and Biometry, University of Würzburg, Würzburg
- State Institute of Health, Bavarian Health and Food Safety Authority, Erlangen
| | - Thomas Kröncke
- Department of Diagnostic and Interventional Radiology, University Hospital Augsburg, Augsburg
| | - Philipp Mayer
- Clinic for Diagnostic and Interventional Radiology, Heidelberg University Hospital, Heidelberg
| | - Thoralf Niendorf
- Berlin Ultrahigh Field Facility, Max-Delbrueck-Center for Molecular Medicine in the Helmholtz Association, Berlin
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg
- Institute for Medical Information Processing, Biometry and Epidemiology, Medical Faculty, Ludwig-Maximilians-Universität München, Munich
- German Diabetes Center (DZD e.V.—Partner site Munich), Neuherberg
| | - Tobias Pischon
- Max-Delbrueck-Center for Molecular Medicine in the Helmholtz Association, Molecular Epidemiology Research Group
- Max-Delbrueck-Center for Molecular Medicine in the Helmholtz Association, Biobank Technology Platform
- Berlin Institute of Health at Charité–Universitätsmedizin Berlin, Core Facility Biobank
- Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin
| | - Benedikt M. Schaarschmidt
- Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen
| | - Börge Schmidt
- Institute for Medical Informatics, Biometry, and Epidemiology, University Hospital of Essen, Essen
| | - Matthias B. Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke
- Institute of Nutritional Science, University of Potsdam, Nuthetal
| | - Lale Umutle
- Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald
| | - Thomas Küstner
- Medical Image and Data Analysis Lab, Department of Radiology, University Hospital Tübingen, Tübingen, Germany
| | - Fabian Bamberg
- Department of Radiology, University Hospital Freiburg, Freiburg
| | - Bernhard Schölkopf
- From the Empirical Inference Department, Max-Planck Institute for Intelligent Systems
| | - Daniel Rueckert
- Biomedical Image Analysis Group, Department of Computing, Imperial College London, London, United Kingdom
- Institute for AI and Informatics in Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
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Eichelberger DA, Sticca F, Kübler DR, Kakebeeke TH, Caflisch JA, Jenni OG, Wehrle FM. Stability of mental abilities and physical growth from 6 months to 65 years: Findings from the Zurich Longitudinal Studies. INTELLIGENCE 2023. [DOI: 10.1016/j.intell.2023.101730] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/11/2023]
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Vicuña L, Barrientos E, Norambuena T, Alvares D, Gana JC, Leiva-Yamaguchi V, Meza C, Santos JL, Mericq V, Pereira A, Eyheramendy S. New insights from GWAS on BMI-related growth traits in a longitudinal cohort of admixed children with Native American and European ancestry. iScience 2023; 26:106091. [PMID: 36844456 PMCID: PMC9947275 DOI: 10.1016/j.isci.2023.106091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Revised: 05/04/2022] [Accepted: 01/25/2023] [Indexed: 02/02/2023] Open
Abstract
Body-mass index (BMI) is a hallmark of adiposity. In contrast with adulthood, the genetic architecture of BMI during childhood is poorly understood. The few genome-wide association studies (GWAS) on children have been performed almost exclusively in Europeans and at single ages. We performed cross-sectional and longitudinal GWAS for BMI-related traits on 904 admixed children with mostly Mapuche Native American and European ancestries. We found regulatory variants of the immune gene HLA-DQB3 strongly associated with BMI at 1.5 - 2.5 years old. A variant in the sex-determining gene DMRT1 was associated with the age at adiposity rebound (Age-AR) in girls (P = 9.8 × 10 - 9 ). BMI was significantly higher in Mapuche than in Europeans between 5.5 and 16.5 years old. Finally, Age-AR was significantly lower (P = 0.004 ) by 1.94 years and BMI at AR was significantly higher (P = 0.04 ) by 1.2 kg/m 2 , in Mapuche children compared with Europeans.
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Affiliation(s)
- Lucas Vicuña
- Faculty of Engineering and Sciences, Universidad Adolfo Ibáñez, Peñalolén, Santiago, Chile
- Instituto Milenio Fundamentos de los Datos (IMFD), Santiago, Chile
| | - Esteban Barrientos
- Faculty of Engineering and Sciences, Universidad Adolfo Ibáñez, Peñalolén, Santiago, Chile
- Instituto Milenio Fundamentos de los Datos (IMFD), Santiago, Chile
| | - Tomás Norambuena
- Faculty of Engineering and Sciences, Universidad Adolfo Ibáñez, Peñalolén, Santiago, Chile
- Instituto Milenio Fundamentos de los Datos (IMFD), Santiago, Chile
| | - Danilo Alvares
- MRC Biostatistics Unit, University of Cambridge, Cambridge, UK
| | - Juan Cristobal Gana
- Department of Pediatric Gastroenterology and Nutrition, Division of Pediatrics, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
| | | | - Cristian Meza
- INGEMAT-CIMFAV, Faculty of Engineering, Universidad de Valparaiso, Valparaiso, Chile
| | - José L. Santos
- Department of Nutrition, Diabetes and Metabolism, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Veronica Mericq
- Institute of Maternal and Child Research, Faculty of Medicine, University of Chile, Santiago, Chile
| | - Ana Pereira
- Institute of Nutrition and Food Technology, University of Chile, Santiago, Chile
| | - Susana Eyheramendy
- Faculty of Engineering and Sciences, Universidad Adolfo Ibáñez, Peñalolén, Santiago, Chile
- Instituto Milenio Fundamentos de los Datos (IMFD), Santiago, Chile
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Adjei-Antwi C, Nketsiah J, Darkoa Darko N, Kusi Appiah A, Joshua T, Abaidoo CS. Forensic application of foot dimensions in ethnic differentiation among Ghanaians. ACTA BIO-MEDICA : ATENEI PARMENSIS 2023; 94:e2023026. [PMID: 36786268 PMCID: PMC9987485 DOI: 10.23750/abm.v94i1.13422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Accepted: 07/23/2022] [Indexed: 02/15/2023]
Abstract
BACKGROUND AND AIM Foot dimensions are known parameters for height estimation and personal identification in most developed countries but there appears to be dearth of information about their utilization in developing countries. Therefore, the present study sought to provide ethnic-specific baseline data on foot dimensions and bring to light the differences that exist between some ethnic groups in Ghana. METHODS One hundred and ninety-three undergraduate students consisting of Ashantis, Fantes and Ewes were recruited. Plantar surfaces were scanned and foot dimensions were taken. RESULTS The left 1st, right 2nd and 3rd toe-pternion lengths and the right breadth at ball were the only dimensions that exhibited differences between the Ashanti and Fante ethnic groups. However, differences were recorded between the Ashanti and Ewe feet for all the measurements taken. Also, with the exception of the right 5th toe-pternion length, all the dimensions exhibited differences. CONCLUSIONS Inter-ethnic differences exist for the dimensions of the foot between the ethnic groups that were involved in the present study. The present study has provided ethnic specific baseline data on foot dimensions for identification purposes.
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Birthweight: An Early Beacon of Children’s Growth! Indian Pediatr 2023. [DOI: 10.1007/s13312-023-2803-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/18/2023]
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Gillespie NA, Gentry AE, Kirkpatrick RM, Reynolds CA, Mathur R, Kendler KS, Maes HH, Webb BT, Peterson RE. Determining the stability of genome-wide factors in BMI between ages 40 to 69 years. PLoS Genet 2022; 18:e1010303. [PMID: 35951648 PMCID: PMC9398001 DOI: 10.1371/journal.pgen.1010303] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Revised: 08/23/2022] [Accepted: 06/21/2022] [Indexed: 11/18/2022] Open
Abstract
Genome-wide association studies (GWAS) have successfully identified common variants associated with BMI. However, the stability of aggregate genetic variation influencing BMI from midlife and beyond is unknown. By analysing 165,717 men and 193,073 women from the UKBiobank, we performed BMI GWAS on six independent five-year age intervals between 40 and 72 years. We then applied genomic structural equation modeling to test competing hypotheses regarding the stability of genetic effects for BMI. LDSR genetic correlations between BMI assessed between ages 40 to 73 were all very high and ranged 0.89 to 1.00. Genomic structural equation modeling revealed that molecular genetic variance in BMI at each age interval could not be explained by the accumulation of any age-specific genetic influences or autoregressive processes. Instead, a common set of stable genetic influences appears to underpin genome-wide variation in BMI from middle to early old age in men and women alike.
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Affiliation(s)
- Nathan A. Gillespie
- Virginia Institute for Psychiatric and Behavior Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia, United States of America
- QIMR Berghofer Medical Research Institute, Herston, Australia
| | - Amanda Elswick Gentry
- Virginia Institute for Psychiatric and Behavior Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia, United States of America
| | - Robert M. Kirkpatrick
- Virginia Institute for Psychiatric and Behavior Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia, United States of America
| | - Chandra A. Reynolds
- Department of Psychology, University of California, Riverside, California, United States of America
| | - Ravi Mathur
- GenOmics, Bioinformatics, and Translational Research Center, Biostatistics and Epidemiology Division, RTI International, Research Triangle Park, North Carolina, United States of America
| | - Kenneth S. Kendler
- Virginia Institute for Psychiatric and Behavior Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia, United States of America
| | - Hermine H. Maes
- Virginia Institute for Psychiatric and Behavior Genetics, Departments of Human and Molecular Genetics, Psychiatry, & Massey Cancer Center, Virginia Commonwealth University, Richmond, Virginia, United States of America
| | - Bradley T. Webb
- Virginia Institute for Psychiatric and Behavior Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia, United States of America
- GenOmics, Bioinformatics, and Translational Research Center, Biostatistics and Epidemiology Division, RTI International, Research Triangle Park, North Carolina, United States of America
| | - Roseann E. Peterson
- Virginia Institute for Psychiatric and Behavior Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia, United States of America
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Austerberry C, Mateen M, Fearon P, Ronald A. Heritability of Psychological Traits and Developmental Milestones in Infancy: A Systematic Review and Meta-analysis. JAMA Netw Open 2022; 5:e2227887. [PMID: 35994288 PMCID: PMC9396365 DOI: 10.1001/jamanetworkopen.2022.27887] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Accepted: 07/04/2022] [Indexed: 11/29/2022] Open
Abstract
Importance Although infancy is the most rapid period of postnatal growth and development, factors associated with variation in infant traits are not well understood. Objective To synthesize the large twin study literature partitioning phenotypic variance in psychological traits and developmental milestones in infancy into estimates of heritability and shared and nonshared environment. Data Sources PubMed, PsycINFO, and references of included publications were searched up to February 11, 2021. Study Selection Peer-reviewed publications using the classical twin design to study psychological traits and developmental milestones from birth to 2 years old were included. Data Extraction and Synthesis Data were extracted in line with Preferred Reporting Items for Systematic Reviews and Meta-Analyses and categorized using the International Classification of Functioning, Disability and Health: Children and Youth Version. Data were pooled in 3-level random effects models, incorporating within-cohort variance in outcome measurement and between-cohort variance. Data were analyzed from March 2021 through September 2021. Main Outcomes and Measures The primary outcomes were monozygotic and dizygotic twin correlations. These were used to calculate genetic and shared and nonshared environment estimates. Results Among 139 publications that were systematically retrieved, data were available on 79 044 twin pairs (31 053 monozygotic and 47 991 dizygotic pairs), 52 independent samples, and 21 countries. Meta-analyses were conducted on psychological traits and developmental milestones from 106 publications organized into 10 categories of functioning, disability, and health. Moderate to high genetic estimates for 8 categories were found, the highest of which was psychomotor functions (pooled h2, 0.59; 95% CI, 0.25-0.79; P < .001). Several categories of traits had substantial shared environment estimates, the highest being mental functions of language (pooled c2, 0.59; 95% CI, 0.24-0.86; P = .001). All examined categories of traits had moderate or high nonshared environment estimates, the highest of which were emotional functions (pooled e2, 0.42; 95% CI, 0.33-0.50; P < .001) and family relationships (pooled e2, 0.42; 95% CI, 0.30-0.55; P < .001). Conclusions and Relevance These findings may be an important source of information to guide future gene discovery research, public perspectives on nature and nurture, and clinical insights into the degree to which family history and environments may estimate major domains of infant functioning, disability, and health in psychological traits and developmental milestones.
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Affiliation(s)
- Chloe Austerberry
- Department of Clinical, Educational and Health Psychology, University College London, London, United Kingdom
| | - Maria Mateen
- Department of Clinical, Educational and Health Psychology, University College London, London, United Kingdom
| | - Pasco Fearon
- Centre for Family Research, University of Cambridge, Cambridge, United Kingdom
| | - Angelica Ronald
- Centre for Brain and Cognitive Development, Department of Psychological Sciences, Birkbeck, University of London, London, United Kingdom
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Your height affects your health: genetic determinants and health-related outcomes in Taiwan. BMC Med 2022; 20:250. [PMID: 35831902 PMCID: PMC9281111 DOI: 10.1186/s12916-022-02450-w] [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: 02/04/2022] [Accepted: 06/22/2022] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND Height is an important anthropometric measurement and is associated with many health-related outcomes. Genome-wide association studies (GWASs) have identified hundreds of genetic loci associated with height, mainly in individuals of European ancestry. METHODS We performed genome-wide association analyses and replicated previously reported GWAS-determined single nucleotide polymorphisms (SNPs) in the Taiwanese Han population (Taiwan Biobank; n = 67,452). A genetic instrument composed of 251 SNPs was selected from our GWAS, based on height and replication results as the best-fit polygenic risk score (PRS), in accordance with the clumping and p-value threshold method. We also examined the association between genetically determined height (PRS251) and measured height (phenotype). We performed observational (phenotype) and genetic PRS251 association analyses of height and health-related outcomes. RESULTS GWAS identified 6843 SNPs in 89 genomic regions with genome-wide significance, including 18 novel loci. These were the most strongly associated genetic loci (EFEMP1, DIS3L2, ZBTB38, LCORL, HMGA1, CS, and GDF5) previously reported to play a role in height. There was a positive association between PRS251 and measured height (p < 0.001). Of the 14 traits and 49 diseases analyzed, we observed significant associations of measured and genetically determined height with only eight traits (p < 0.05/[14 + 49]). Height was positively associated with body weight, waist circumference, and hip circumference but negatively associated with body mass index, waist-hip ratio, body fat, total cholesterol, and low-density lipoprotein cholesterol (p < 0.05/[14 + 49]). CONCLUSIONS This study contributes to the understanding of the genetic features of height and health-related outcomes in individuals of Han Chinese ancestry in Taiwan.
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Rahati S, Qorbani M, Naghavi A, Nia MH, Pishva H. Association between CLOCK 3111 T/C polymorphism with ghrelin, GLP-1, food timing, sleep and chronotype in overweight and obese Iranian adults. BMC Endocr Disord 2022; 22:147. [PMID: 35655162 PMCID: PMC9161580 DOI: 10.1186/s12902-022-01063-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Accepted: 05/31/2022] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Circadian Locomotor Output Cycles Kaput (CLOCK), an essential element of the positive regulatory arm in the human biological clock, is involved in metabolic regulation. The aim was to investigate the behavioral (sleep duration, food timing, dietary intake, appetite and chronobiologic characteristics) and hormonal (plasma ghrelin and Glucagon-like peptide-1 concentrations) factors that could explain the previously reported association between the CLOCK 3111 T/C SNP and obesity. METHODS This cross-sectional study included 403 subjects, overweight and/or obesity, aged 20- 50 years from Iran. The CLOCK rs1801260 data were measured by the PCR-RFLP method. Dietary intake, food timing, sleep duration, appetite and Chrono-type were assessed using validated questionnaires. Ghrelin and GLP-1 were measured by ELIZA in plasma samples. Participants were also divided into three groups based on BMI. Logistic regression models and general linear regression models were used to assess the association between CLOCK genotype and study parameters. Univariate linear regression models were used to assess the interaction between CLOCK and VAS, Food timing, chronotype and sleep on food intakes. RESULTS After controlling for confounding factors, there was a significant difference between genotypes for physical activity (P = 0.001), waist circumference (P˂0.05), BMI (˂0.01), weight (P = 0.001), GLP-1 (P = 0.02), ghrelin (P = 0.04), appetite (P˂0.001), chronotype (P˂0.001), sleep (P˂0.001), food timing (P˂0.001), energy (P˂0.05), carbohydrate (P˂0.05) and fat intake (P˂0.001). Our findings also show that people with the minor allele C who ate lunch after 3 PM and breakfast after 9 AM are more prone to obesity (P˂0.05). furthermore, there was significant interactions between C allele carrier group and high appetite on fat intake (Pinteraction = 0.041), eat lunch after 3 PM on energy intake (Pinteraction = 0.039) and morning type on fat intake (Pinteraction = 0.021). CONCLUSION Sleep reduction, changes in ghrelin and GLP-1 levels, changes in eating behaviors and evening preference that characterized CLOCK 3111C can all contribute to obesity. Furthermore, the data demonstrate a clear relationship between the timing of food intake and obesity. Our results support the hypothesis that the influence of the CLOCK gene may extend to a wide range of variables related to human behaviors.
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Affiliation(s)
- Sara Rahati
- Department of Cellular - Molecular Nutrition, School of Nutrition Sciences and Dietetics, Tehran University of Medical Sciences, PO Box: 14155-6447, Tehran, Iran
| | - Mostafa Qorbani
- Non-Communicable Diseases Research Center, Alborz University of Medical Sciences, Karaj, Iran
| | - Anoosh Naghavi
- Department of Genetics, Cellular and Molecular Research Center, Resistant Tuberculosis Institute, Zahedan University of Medical Sciences, Zahedan, Iran
| | - Milad Heidari Nia
- Cellular and Molecular Research Center, Resistant Tuberculosis Institute, Zahedan University of Medical Sciences, Zahedan, Iran
| | - Hamideh Pishva
- Department of Cellular - Molecular Nutrition, School of Nutrition Sciences and Dietetics, Tehran University of Medical Sciences, PO Box: 14155-6447, Tehran, Iran.
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15
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Warkentin S, Severo M, Fildes A, Oliveira A. Genetic and environmental contributions to variations on appetitive traits at 10 years of age: a twin study within the Generation XXI birth cohort. Eat Weight Disord 2022; 27:1799-1807. [PMID: 34741756 PMCID: PMC9123061 DOI: 10.1007/s40519-021-01322-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Accepted: 10/13/2021] [Indexed: 11/30/2022] Open
Abstract
PURPOSE Given the variability in adiposity despite ubiquitous exposure to obesogenic food environments, it has been suggested that individuals respond in divergent ways to the environment they live in. The food environment becomes more 'permissive' as children age; therefore, genetic predisposition for a more avid appetite can be better expressed, influencing dietary quality, energy intake and weight gain. Our aim was to explore the genetic and environmental contribution of variations on appetitive traits in a sample of 10-year-old Portuguese children. METHODS Participants were twins enrolled in the Generation XXI birth cohort (n = 86 pairs). Parents reported twin's zygosity and child appetitive traits at 10 years of age through the Children's Eating Behavior Questionnaire. Intra-class correlations (ICCs) for all appetitive traits were calculated for monozygotic and dizygotic twins separately to examine patterns of resemblance, and structural equation modeling was conducted aiming to estimate the genetic (A), shared (C) and non-shared (E) environmental variances. RESULTS Moderate to strong heritability were found for child appetitive traits, with higher ICCs among monozygotic twin pairs. For all appetitive traits, with the exception of emotional undereating, genetic and non-shared environmental effects contributed to appetite variability. For emotional undereating, environmental effects seem to be more important than genetic effects (C: 0.81; 95% CI 0.71; 0.88 and E: 0.19; 95% CI 0.12; 0.29). CONCLUSION There was a significant genetic contribution, followed by non-shared environmental contribution, towards variation in appetitive traits in school-age children. Variation in emotional undereating was primarily explained by shared and non-shared environmental factors. LEVEL OF EVIDENCE Evidence obtained from well-designed cohort or case-control analytic studies.
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Affiliation(s)
- Sarah Warkentin
- EPIUnit, Institute of Public Health, University of Porto, Rua das Taipas, 135-139, 4050-600, Porto, Portugal.
- Laboratory for Integrative and Translational Research in Population Health (ITR), Porto, Portugal.
| | - Milton Severo
- EPIUnit, Institute of Public Health, University of Porto, Rua das Taipas, 135-139, 4050-600, Porto, Portugal
- Laboratory for Integrative and Translational Research in Population Health (ITR), Porto, Portugal
- Department of Public Health and Forensic Sciences and Medical Education, Faculty of Medicine, University of Porto, Porto, Portugal
| | - Alison Fildes
- School of Psychology, University of Leeds, Leeds, LS2 9JT, England
| | - Andreia Oliveira
- EPIUnit, Institute of Public Health, University of Porto, Rua das Taipas, 135-139, 4050-600, Porto, Portugal
- Laboratory for Integrative and Translational Research in Population Health (ITR), Porto, Portugal
- Department of Public Health and Forensic Sciences and Medical Education, Faculty of Medicine, University of Porto, Porto, Portugal
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Madeo SF, Stanghellini I, Predieri B, Ciancia S, Leo F, Bruzzi P, Calabrese O, Iughetti L. Copy Number Variation Analysis Increases the Number of Candidate Loci Associated with Pediatric Obesity. Horm Res Paediatr 2022; 94:251-262. [PMID: 34482307 DOI: 10.1159/000519299] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Accepted: 08/28/2021] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND/AIMS Obesity is a multifactorial disease caused by the interaction of genetic, environmental, and behavioral factors. Currently, only a small number of obese children undergo genetic analysis, usually when obesity is associated with dysmorphic features. The aim of this study was to identify genomic rearrangement causing obesity. METHODS We analyzed the DNA of children and adolescents by single-nucleotide polymorphism-array (platform CytoScan HD, Affymetrix). Patients included in this study were obese with dysmorphic features and/or intellectual disabilities and/or neuropsychomotor signs. RESULTS Ninety-four children and adolescents with obesity (9.25 ± 4.04 years old, 60 males) were enrolled in the study. Dysmorphic features were found in 64 out of 94 subjects (68.1%), intellectual disability was found in 23 subjects (24.5%), and other neuropsychomotor signs in 31 (32.9%). Copy number variations (CNVs) were identified in 43 out of 94 patients (45.7%): among these 14 subjects showed at least 1 deletion, 22 duplication, whereas 7 patients showed both deletion and duplication. In 20 subjects (13 males), CNVs were linked or possibly related with obesity; in 23 subjects, this correlation cannot be inferred. CONCLUSION A genetic origin of obesity was detected in about half of our obese children and adolescents with associated dysmorphic features and/or intellectual disability and/or neuropsychomotor signs. In these children, array-CGH analysis can be useful to identify causative genetic mutations, with consequent advantage in therapeutic management and follow-up of these patients.
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Affiliation(s)
- Simona Filomena Madeo
- Pediatric Unit, Department of Medical and Surgical Sciences for Mothers, Children and Adults, University of Modena and Reggio Emilia, Modena, Italy
| | - Ilaria Stanghellini
- Medical Genetics Unit, Department of Medical and Surgical Sciences for Mothers, Children and Adults, University of Modena and Reggio Emilia, Modena, Italy
| | - Barbara Predieri
- Pediatric Unit, Department of Medical and Surgical Sciences for Mothers, Children and Adults, University of Modena and Reggio Emilia, Modena, Italy
| | - Silvia Ciancia
- Pediatric Unit, Department of Medical and Surgical Sciences for Mothers, Children and Adults, University of Modena and Reggio Emilia, Modena, Italy
| | - Francesco Leo
- Pediatric Unit, Department of Medical and Surgical Sciences for Mothers, Children and Adults, University of Modena and Reggio Emilia, Modena, Italy
| | - Patrizia Bruzzi
- Pediatric Unit, Department of Medical and Surgical Sciences for Mothers, Children and Adults, University of Modena and Reggio Emilia, Modena, Italy
| | - Olga Calabrese
- Medical Genetics Unit, Department of Medical and Surgical Sciences for Mothers, Children and Adults, University of Modena and Reggio Emilia, Modena, Italy
| | - Lorenzo Iughetti
- Pediatric Unit, Department of Medical and Surgical Sciences for Mothers, Children and Adults, University of Modena and Reggio Emilia, Modena, Italy
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Nutrition Status of Refugee and Host-Country Children: Negotiating for Equal Distribution of Relief Food During Emergencies in Uganda. J Immigr Minor Health 2022; 24:1387-1397. [DOI: 10.1007/s10903-022-01354-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/05/2022] [Indexed: 10/18/2022]
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18
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Testing of a model for risk factors for eating disorders and higher weight among emerging adults: Baseline evaluation. Body Image 2022; 40:322-339. [PMID: 35121568 DOI: 10.1016/j.bodyim.2022.01.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Revised: 10/13/2021] [Accepted: 01/17/2022] [Indexed: 12/30/2022]
Abstract
Although a range of risk factors have been identified for disordered eating and weight status, the breadth of risk factors have been rarely considered within a single, comprehensive model. The robustness of these findings across countries also remains an open question. The present study sampled 6272 participants aged 18-30 years from eight countries in an attempt to evaluate combined and unique predictors for these two conditions, and to explore possible cross-country differences in these models. Participants completed a range of demographic, biological, behavioral, psychological, and sociocultural measures to test a comprehensive model of the contributions of these predictors for disordered eating and weight-related constructs (binge eating, body mass index, compensatory behaviors, dietary restraint, drive for muscularity, and drive for leanness). Structural invariance testing within a multigroup path analysis framework revealed that a single model across the eight countries provided poor model fit. Freeing of 22% of parameters across countries provided excellent fit and a satisfactory compromise for country-invariant and country-variant parameters in the model. Overall, predictors accounted for between 15% and 60% of variance in the outcome measures, with lowest explained variance for the disordered eating outcomes. Significant unique contributions to prediction were observed for each of the five risk factor variable types and across the eight countries. Thus, the findings show strong support for this model as an explanatory framework of both disordered eating and weight status.
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Indra J, Khoirunurrofik K. Understanding the role of village fund and administrative capacity in stunting reduction: Empirical evidence from Indonesia. PLoS One 2022; 17:e0262743. [PMID: 35089957 PMCID: PMC8797224 DOI: 10.1371/journal.pone.0262743] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2021] [Accepted: 01/04/2022] [Indexed: 11/20/2022] Open
Abstract
The Indonesian government launched various programs to handle stunting cases, including village funds. This paper examined the effects of village fund programs and village apparatuses’ capacities to combat stunting based on aggregate data at the district level in Indonesia. Using descriptive data analysis and fixed effect panel regression, we observed that village fund programs could significantly reduce Indonesia’s stunting prevalence, especially outside Java. It also revealed that the increasing education of regional leaders does not necessarily positively impact leaders’ skills in handling stunting. At the same time, the number of village officials has a statistically significant influence on reducing stunting prevalence. It advised that the village budget fund can support national priorities in tackling the prevalence of stunting. Furthermore, it is essential to build the capacity of the village head for increasing awareness of health activities, especially early prevention of stunting, in addition to an adequate number of officials.
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Affiliation(s)
- Jul Indra
- Graduate Programme in Economics, Faculty of Economics and Business, University of Indonesia, Depok, Indonesia
| | - Khoirunurrofik Khoirunurrofik
- Graduate Programme in Economics, Faculty of Economics and Business, University of Indonesia, Depok, Indonesia
- Research Cluster on Energy Modeling and Regional Economic Analysis (RCEMREA), Faculty of Economics and Business, Universitas Indonesia, Depok, Indonesia
- * E-mail:
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20
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Bojang KS, Lyrawati D, Sujuti H, Wahono D. Prevalence of Metabolic Syndrome and its Components in Kanifing Municipality, The Gambia. Med Arch 2022; 75:340-346. [PMID: 35169354 PMCID: PMC8740674 DOI: 10.5455/medarh.2021.75.340-346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Accepted: 09/15/2021] [Indexed: 11/03/2022] Open
Abstract
Background Metabolic syndrome (MetS) is a complex syndrome with clustering of interrelated risk factors for cardiovascular disease and diabetes. Its rising worldwide prevalence has been largely related to the increasing obesity. In The Gambia, the last and only time a MetS related study was conducted, and then reported, was 21 years. Therefore, there is need for evaluating the prevalence of MetS and its components in the country. Objective This study was aimed to evaluate the prevalence of MetS and its individual components in Kanifing Municipality (KM). Methods It was a cross-sectional study conducted at Kanifing General Hospital, Kanifing Municipality. Data obtained from each participants included anthropometric indices, blood pressure, fasting plasma glucose, triglyceride and high-density lipoprotein levels, and clinical information. Results One hundred and thirty-six participants were included in the analysis. The overall MetS prevalence was 54.4% with significant female predominance (female, 58%; male, 29.4%; P=0.025). The most predominant component among the study population was central obesity (raised WC) (72.8%). Hypertriglyceridemia was found to be the strongest predictor of MetS among our participants (OR: 118.13; 95% CI: 33.79-412.77; P < 0.001). Conclusion Our study discloses a very high prevalence of MetS among the participants, and a significant female predominance, with central obesity the commonest Mets component. The results suggest that hypertriglyceridemia is the strongest predictor of metabolic syndrome in our study participants.
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Affiliation(s)
- Kebba S Bojang
- Doctoral Program, Postgraduate Department, Faculty of Medicine, Brawijaya University, Malang, Indonesia.,School of Medicine and Allied Health Sciences, University of The Gambia, Banjul, The Gambia.,Department of Internal Medicine, Kanifing General Hospital, Kanifing, The Gambia
| | - Diana Lyrawati
- Doctoral Program, Postgraduate Department, Faculty of Medicine, Brawijaya University, Malang, Indonesia.,Department of Pharmacy, Faculty of Medicine, Brawijaya University, Malang, Indonesia
| | - Hidayat Sujuti
- Doctoral Program, Postgraduate Department, Faculty of Medicine, Brawijaya University, Malang, Indonesia.,Department of Ophthalmology, Faculty of Medicine, Brawijaya University, Malang, Indonesia
| | - Djoko Wahono
- Doctoral Program, Postgraduate Department, Faculty of Medicine, Brawijaya University, Malang, Indonesia.,Department of Internal Medicine, Faculty of Medical, Brawijaya University, Malang, Indonesia
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Karlsson O, Domingue BW, Kim R, Subramanian S. Estimating heritability in heights without zygosity information for under-five children in low- and middle-income countries: An application of normal finite mixture distribution model. SSM Popul Health 2022; 17:101043. [PMID: 35242993 PMCID: PMC8861393 DOI: 10.1016/j.ssmph.2022.101043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Revised: 02/02/2022] [Accepted: 02/03/2022] [Indexed: 11/26/2022] Open
Abstract
Twin studies are widely used to estimate heritability of traits and typically rely on knowing the zygosity of twin pairs in order to determine variation attributable to genetics. Most twin studies are conducted in high resource settings. Large scale household survey data, such as the Demographic and Health Surveys, collect various biomarkers for children under five years old in low- and middle-income countries. These data include twins but no information on zygosity. We applied mixture models to obtain heritability estimates without knowing zygosity of twins, using 249 Demographic and Health Surveys from 79 low- and middle-income countries (14,524 twin pairs). We focused on height of children, adjusted for age and sex, but also provided estimates for other biomarkers available in the data. We estimated that the heritability of height in our sample was 46%. Mixture model was used to obtain heritability estimates for biomarkers for children under five without zygosity information. 46% of height was determined by heritability. Heritability estimate was 0.54 for weight-for-age z-score and 0.51 for residualized weight. An implausible heritability estimate of 0.93 was found for weight-for-height z-score. Birthweight had a heritability estimate of 0.71 and hemoglobin level had a heritability estimate of 0.61.
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22
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Li S, Qiu Y, Yuan X, Zhang Q, Kilby MD, Saffery R, Baker PN, Wen L, Tong C, Qi H. Impact of maternal gestational weight gain in twin pregnancies on early childhood obesity risk: A longitudinal birth cohort study. Front Pediatr 2022; 10:906086. [PMID: 35983080 PMCID: PMC9378839 DOI: 10.3389/fped.2022.906086] [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: 03/28/2022] [Accepted: 07/13/2022] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVES To investigate the impact of gestational weight gain (GWG) on the body mass index-for-age z score (BAZ) and obesity risk among twin offspring. METHODS This study included 263 women who were pregnant with twins and their offspring. Maternal GWG was measured in each trimester, and infant weight and length were measured at 6, 12, and 24 months. RESULTS Total GWG was positively correlated with offspring birthweight and BAZ at 6, 12 and 24 months [adjusted β 0.013 (95% CI: 0.008-0.019), 0.028 (95% CI: 0.005-0.050), 0.033 (95% CI: 0.010-0.056) and 0.025 (95% CI: 0.004-0.047), respectively]. Excessive total GWG was related to an increased relative risk (RR) of large for gestational age (LGA) and overweight at 6 and 12 months. Only the second trimester gestational weight gain rate (GWGR) was positively correlated with birthweight (adjusted β 0.380, 95% CI: 0.256-0.504), and RRs of 6.818 (95% CI: 1.568-29.642) and 2.852 (95% CI: 1.466-5.548) were found for LGA and overweight at 12 months, respectively. CONCLUSIONS Total GWG and the second trimester GWGR were correlated with BAZ and overweight/obesity risk in twin offspring; the impact was obvious in the first year of life and gradually disappeared over time. CLINICAL TRIAL REGISTRATION ChiCTR-OOC-16008203, Registered on 1 April 2016 at the Chinese Clinical Trial Registry.
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Affiliation(s)
- Sisi Li
- State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yuhan Qiu
- Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xi Yuan
- State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Qin Zhang
- State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Mark D Kilby
- Birmingham Women's and Children's Foundation Trust, Fetal Medicine Centre, Birmingham, United Kingdom.,Institute of Metabolism and Systems Research, College of Medical and Dental Sciences, University of Birmingham, Birmingham, United Kingdom
| | - Richard Saffery
- Molecular Immunity, Murdoch Children's Research Institute, Royal Children's Hospital, Melbourne, VIC, Australia.,Department of Pediatrics, University of Melbourne, Parkville, VIC, Australia
| | - Philip N Baker
- College of Life Sciences, University of Leicester, Leicester, United Kingdom
| | - Li Wen
- State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Chao Tong
- State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Hongbo Qi
- State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.,Chongqing Women and Children's Health Center, Chongqing, China
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23
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Cheuiche AV, Cureau FV, Madalosso MM, Telo GH, Schaan BD. Association between socioeconomic and nutritional factors and height of Brazilian adolescents: results from the Study of Cardiovascular Risk in Adolescents. CAD SAUDE PUBLICA 2022; 38:e00277321. [DOI: 10.1590/0102-311xen277321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Accepted: 05/20/2022] [Indexed: 11/21/2022] Open
Abstract
This study aims to describe the mean height of adolescents from the five regions of Brazil and to evaluate socioeconomic and nutritional factors associated with normal growth. This is a cross-sectional study conducted in the Brazilian urban and rural areas with students aged 12 to 17 years (n = 71,553). Anthropometry, socioeconomic variables, physical activity, and diet were evaluated. Height-for-age z-scores were calculated and multiple linear regression models were used to investigate the association of exposure variables with height (outcome) by sex and age (12-13, 14-15, and 16-17 years). We observed a lower mean height in adolescents from the North Region and in individuals with low socioeconomic status. At 17 years of age, the closest to the final height in this sample, mean heights for girls and boys were 160.9 ± 0.1cm and 173.7 ± 0.3cm, respectively. In multiple linear regression analysis, physical activity (girls β = 0.119, 95%CI: 0.035; 0.202; boys β = 0.092, 95%CI: 0.012; 0.172) and high level of maternal education (girls β = 0.103, 95%CI: 0.001; 0.204; boys β = 0.39, 95%CI: 0.245; 0.534) were positively associated with height-for-age z-score in 16- to 17-year-old boys and girls. Other factors positively associated with height-for-age z-score in older students include higher protein consumption (β = 0.022, 95%CI: 0.010; 0.035) and obesity (β = 0.217, 95%CI: 0.084; 0.350) for boys, and low weight (β = 0.205, 95%CI: 0.028, 0.382) for girls. We observed differences in the mean height among adolescents from the five Brazilian regions. Normal growth, especially among older adolescents, was associated with high maternal education, practice of physical activity, protein consumption, and body mass index (BMI) categories.
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Affiliation(s)
| | | | | | | | - Beatriz D. Schaan
- Universidade Federal do Rio Grande do Sul, Brazil; Universidade Federal do Rio Grande do Sul, Brazil; Hospital de Clínicas de Porto Alegre, Brasil
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24
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Pehkonen J, Viinikainen J, Kari JT, Böckerman P, Lehtimäki T, Viikari J, Raitakari O. Birth weight, adult weight, and cardiovascular biomarkers: Evidence from the Cardiovascular Young Finns Study. Prev Med 2022; 154:106894. [PMID: 34801564 DOI: 10.1016/j.ypmed.2021.106894] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Revised: 10/12/2021] [Accepted: 11/14/2021] [Indexed: 10/19/2022]
Abstract
This study quantifies the causal effect of birth weight on cardiovascular biomarkers in adulthood using the Cardiovascular Risk in Young Finns Study (YFS). We apply a multivariable Mendelian randomization (MVMR) method that provides a novel approach to improve inference in causal analysis based on a mediation framework. The results show that birth weight is linked to triglyceride levels (β = -0.294; 95% CI [-0.591, 0.003]) but not to low-density lipoprotein (LDL) cholesterol levels (β = 0.007; 95% CI [-0.168, 0.183]). The total effect of birth weight on triglyceride levels is partly offset by a mediation pathway linking birth weight to adult BMI (β = 0.111; 95% CI [-0.013, 0.234]). The negative total effect is consistent with the fetal programming hypothesis. The positive indirect effect via adult BMI highlights the persistence of body weight throughout a person's life and the adverse effects of high BMI on health. The results are consistent with previous findings that both low birth weight and weight gain increase health risks in adulthood.
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Affiliation(s)
- Jaakko Pehkonen
- School of Business and Economics, University of Jyväskylä, Jyväskylä, Finland.
| | - Jutta Viinikainen
- School of Business and Economics, University of Jyväskylä, Jyväskylä, Finland
| | - Jaana T Kari
- School of Business and Economics, University of Jyväskylä, Jyväskylä, Finland
| | - Petri Böckerman
- School of Business and Economics, University of Jyväskylä, Jyväskylä, Finland; Labour Institute for Economic Research, Helsinki, Finland; IZA, Bonn, Germany
| | - Terho Lehtimäki
- Department of Clinincal Chemistry, Tampere University, Finland; Fimlab Laboratoriot Oy Ltd, Tampere, Finland; Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland; Finnish Cardiovascular Research Center Tampere, Tampere University, Tampere, Finland
| | - Jorma Viikari
- Department of Medicine, University of Turku, Turku, Finland, Division of Medicine, Turku University Hospital, Turku, Finland
| | - Olli Raitakari
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland; Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland; Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
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25
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Spinelli A, Buoncristiano M, Nardone P, Starc G, Hejgaard T, Júlíusson PB, Fismen AS, Weghuber D, Musić Milanović S, García-Solano M, Rutter H, Rakovac I, Cucu A, Brinduse LA, Rito AI, Kovacs VA, Heinen MM, Nurk E, Mäki P, Abdrakhmanova S, Rakhmatulleoeva S, Duleva V, Farrugia Sant'Angelo V, Fijałkowska A, Gualtieri A, Sacchini E, Hassapidou M, Hyska J, Kelleher CC, Kujundžić E, Kunešová M, Markidou Ioannidou E, Ostojic SM, Peterkova V, Petrauskienė A, Popović S, Pudule I, Russell Jonsson K, Dal-Re Saavedra MÁ, Salanave B, Shengelia L, Spiroski I, Tanrygulyyeva M, Tichá Ľ, Usupova Z, Ozcebe LH, Abildina A, Schindler K, Weber MW, Filipović Hadžiomeragić A, Melkumova M, Stojisavljević D, Boymatova K, Williams J, Breda J. Thinness, overweight, and obesity in 6- to 9-year-old children from 36 countries: The World Health Organization European Childhood Obesity Surveillance Initiative-COSI 2015-2017. Obes Rev 2021; 22 Suppl 6:e13214. [PMID: 34235850 DOI: 10.1111/obr.13214] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/01/2021] [Accepted: 01/04/2021] [Indexed: 01/07/2023]
Abstract
In 2015-2017, the fourth round of the World Health Organization (WHO) European Childhood Obesity Surveillance Initiative (COSI) was conducted in 36 countries. National representative samples of children aged 6-9 (203,323) were measured by trained staff, with similar equipment and using a standardized protocol. This paper assesses the children's body weight status and compares the burden of childhood overweight, obesity, and thinness in Northern, Eastern, and Southern Europe and Central Asia. The results show great geographic variability in height, weight, and body mass index. On average, the children of Northern Europe were the tallest, those of Southern Europe the heaviest, and the children living in Central Asia the lightest and the shortest. Overall, 28.7% of boys and 26.5% of girls were overweight (including obesity) and 2.5% and 1.9%, respectively, were thin according to the WHO definitions. The prevalence of obesity varied from 1.8% of boys and 1.1% of girls in Tajikistan to 21.5% and 19.2%, respectively, in Cyprus, and tended to be higher for boys than for girls. Levels of thinness, stunting, and underweight were relatively low, except in Eastern Europe (for thinness) and in Central Asia. Despite the efforts to halt it, unhealthy weight status is still an important problem in the WHO European Region.
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Affiliation(s)
- Angela Spinelli
- National Centre for Disease Prevention and Health Promotion, Italian National Institute of Health (Istituto Superiore di Sanità), Rome, Italy
| | - Marta Buoncristiano
- World Health Organization (WHO) European Office for the Prevention and Control of Noncommunicable Diseases, Division of Country Health Programmes, WHO Regional Office for Europe, Moscow, Russian Federation
| | - Paola Nardone
- National Centre for Disease Prevention and Health Promotion, Italian National Institute of Health (Istituto Superiore di Sanità), Rome, Italy
| | - Gregor Starc
- Faculty of Sport, University of Ljubljana, Ljubljana, Slovenia
| | - Tatjana Hejgaard
- Health Promotion and Inequality, Danish Health Authority, Copenhagen, Denmark
| | - Petur Benedikt Júlíusson
- Department of Health Registry Research and Development, Norwegian Institute of Public Health, Bergen, Norway.,Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Anne-Siri Fismen
- Department of Health Promotion and Centre for Evaluation of Public Health Measures, Norwegian Institute of Public Health, Bergen, Norway
| | - Daniel Weghuber
- Department of Pediatrics, Paracelsus Medical University, Salzburg, Austria
| | - Sanja Musić Milanović
- Croatian Institute of Public Health, Zagreb, Croatia.,School of Medicine, University of Zagreb, Zagreb, Croatia
| | - Marta García-Solano
- Spanish Agency for Food Safety and Nutrition, Ministry of Consumer Affairs, Madrid, Spain
| | - Harry Rutter
- Department of Social and Policy Sciences, University of Bath, Bath, UK
| | - Ivo Rakovac
- World Health Organization (WHO) European Office for the Prevention and Control of Noncommunicable Diseases, Division of Country Health Programmes, WHO Regional Office for Europe, Moscow, Russian Federation
| | - Alexandra Cucu
- Faculty of Midwifery and Nursing, Discipline of Public health and Health Management, University of Medicine and Pharmacy Carol Davila Bucharest, Bucharest, Romania.,National Centre of Health Promotion and Health Evaluation, National Institute of Public Health, Bucharest, Romania
| | - Lacramioara Aurelia Brinduse
- National Centre of Health Promotion and Health Evaluation, National Institute of Public Health, Bucharest, Romania.,Faculty of Medicine, Department of Public Health and Management, University of Medicine and Pharmacy Carol Davila Bucharest, Bucharest, Romania
| | - Ana Isabel Rito
- WHO/Europe Collaborating Center for Nutrition and Childhood Obesity - Food and Nutrition Department, National Institute of Health Dr. Ricardo Jorge, Lisbon, Portugal
| | | | - Mirjam M Heinen
- National Nutrition Surveillance Centre, School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland
| | - Eha Nurk
- Department of Nutrition Research, National Institute for Health Development, Tallinn, Estonia
| | - Päivi Mäki
- Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Shynar Abdrakhmanova
- Department of Science and Professional Development, National Center of Public Health of the Ministry of Health of the Republic of Kazakhstan, Almaty, Kazakhstan.,Kazakhstan School of Public Health, Kazakhstan's Medical University, Almaty, Kazakhstan
| | - Sanavbar Rakhmatulleoeva
- Department of the Organization of Medical Services for Mothers, Children and Family Planning Ministry of Health and Social Protection, Dushanbe, Tajikistan
| | - Vesselka Duleva
- Department Food and Nutrition, National Center of Public Health and Analyses, Sofia, Bulgaria
| | | | - Anna Fijałkowska
- Department of Cardiology, Institute of Mother and Child, Warsaw, Poland
| | | | - Elena Sacchini
- Health Authority, Ministry of Health, San Marino, San Marino
| | - Maria Hassapidou
- Department of Nutritional Sciences and Dietetics, International Hellenic University, Thessaloniki, Greece
| | - Jolanda Hyska
- Nutrition and Food Safety Sector, Institute of Public Health, Tirana, Albania
| | - Cecily C Kelleher
- National Nutrition Surveillance Centre, School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland
| | - Enisa Kujundžić
- Center for Health Ecology, Institute of Public Health, Podgorica, Montenegro
| | - Marie Kunešová
- Obesity Management Centre, Institute of Endocrinology, Prague, Czech Republic
| | | | - Sergej M Ostojic
- Biomedical Sciences Department, Faculty of Sport and Physical Education, University of Novi Sad, Novi Sad, Serbia
| | - Valentina Peterkova
- Institute of Paediatric Endocrinology, National Medical Research Centre for Endocrinology of the Ministry of Health of the Russian Federation, Moscow, Russian Federation
| | - Aušra Petrauskienė
- Department of Preventive Medicine, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Stevo Popović
- Faculty for Sport and Physical Education, University of Montenegro, Niksic, Montenegro.,Montenegrin Sports Academy, Podgorica, Montenegro
| | - Iveta Pudule
- Department of Research and Health Statistics, Centre for Disease and Prevention Control, Riga, Latvia
| | - Kenisha Russell Jonsson
- Department of Living Conditions and Lifestyle, Public Health Agency of Sweden, Solna, Sweden
| | | | - Benoît Salanave
- Departement of Non-Communicable Diseases and Traumatisms, Santé publique France, the French Public Health Agency, Saint Maurice, France.,Nutritional Surveillance and Epidemiology Team (ESEN), University Sorbonne Paris Nord, Bobigny, France
| | - Lela Shengelia
- Maternal, Child and Reproductive Health, National Center for Disease Control and Public Health of Georgia, Tbilisi, Georgia
| | - Igor Spiroski
- Institute of Public Health, Skopje, North Macedonia.,Faculty of Medicine, Ss. Cyril and Methodius University, Skopje, North Macedonia
| | - Maya Tanrygulyyeva
- Scientific Research Institute of Maternal and Child Health, Ashgabat, Turkmenistan
| | - Ľubica Tichá
- Children's Hospital National Institute of Children's Diseases, Medical Faculty, Comenius University, Bratislava, Slovakia
| | - Zhamilya Usupova
- Republican Center for Health Promotion and Mass Communication, Ministry of Health of the Kyrgyz Republic, Bishkek, Kyrgyzstan
| | - Lütfiye Hilal Ozcebe
- Medical Faculty, Department of Public Health, Hacettepe University, Ankara, Turkey
| | - Akbota Abildina
- National Center of Public Health, Ministry of Health of the Republic of Kazakhstan/WHO Collaborating Center for Promoting Healthy Lifestyle, Nur-Sultan, Kazakhstan
| | - Karin Schindler
- Federal Ministry Social Affairs, Health Care and Consumer Protection, Division of Mother, Child, Gender Health and Nutrition, Vienna, Austria
| | - Martin W Weber
- World Health Organization (WHO) Child and Adolescent Health and Development, WHO Regional Office for Europe, Copenhagen, Denmark
| | - Aida Filipović Hadžiomeragić
- Department of Hygiene, Health Ecology Service, Institute of Public Health of Federation of Bosnia and Herzegovina, Sarajevo, Bosnia and Herzegovina
| | - Marina Melkumova
- Institute of Child and Adolescent Health, Arabkir Medical Centre- Institute of Child and Adolescent Health, Yerevan, Armenia
| | - Dragana Stojisavljević
- Faculty of Medicine, University of Banja Luka, Banja Luka, Bosnia and Herzegovina.,Public Health Institute of Republic of Srpska, Banja Luka, Bosnia and Herzegovina
| | - Khadichamo Boymatova
- Division of Noncommunicable Diseases and Promoting Health through the Life-course, WHO Tajikistan Country Office, Dushanbe, Tajikistan
| | - Julianne Williams
- World Health Organization (WHO) European Office for the Prevention and Control of Noncommunicable Diseases, Division of Country Health Programmes, WHO Regional Office for Europe, Moscow, Russian Federation
| | - João Breda
- World Health Organization (WHO) European Office for the Prevention and Control of Noncommunicable Diseases, Division of Country Health Programmes, WHO Regional Office for Europe, Moscow, Russian Federation
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26
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Clarke P, Zuma MK, Tambe AB, Steenkamp L, Mbhenyane XG. Caregivers' Knowledge and Food Accessibility Contributes to Childhood Malnutrition: A Case Study of Dora Nginza Hospital, South Africa. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph182010691. [PMID: 34682438 PMCID: PMC8535554 DOI: 10.3390/ijerph182010691] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Accepted: 10/05/2021] [Indexed: 11/22/2022]
Abstract
Amongst the problems facing South Africa today are malnutrition and food insecurity, and there is a need for interventions and innovative strategies to address these. The aim of the study was to determine the contribution of caregivers’ knowledge of nutrition and household food security among children aged 0 to 60 months. A cross-sectional study design was applied using a quantitative approach. A convenience sample (n = 184) of caregiver–child pairs (for children 0 to 60 months) from the Dora Nginza Hospital Paediatric Outpatient Department was used. A structured questionnaire was applied to collect data on socio-economic factors, health status, household food security, and caregivers’ knowledge. In addition, interviews were conducted, and anthropometric measurements of children were taken to determine their nutritional status. The results indicate that most caregivers were female, and more than half completed high school, yet almost 75% were unemployed. Most of the caregivers (58.2%) were either overweight or obese. The results also show that only 33.2% of households were food secure, 29.3% were at risk of hunger, and 37.5% experienced hunger. The prevalence of stunting, underweight, and wasting among children in the study was high. A significant, slightly positive correlation was found between the body mass index of the caregiver and height for age. Poor socio-economic status and food inaccessibility were identified as possible underlying contributing factors to malnutrition, contributing to food insecurity and therefore poor dietary intake.
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Affiliation(s)
- Pamela Clarke
- Department of Human Nutrition, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town 8000, South Africa; (P.C.); (M.K.Z.); (A.B.T.)
| | - Mthokozisi Kwazi Zuma
- Department of Human Nutrition, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town 8000, South Africa; (P.C.); (M.K.Z.); (A.B.T.)
| | - Ayuk Betrand Tambe
- Department of Human Nutrition, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town 8000, South Africa; (P.C.); (M.K.Z.); (A.B.T.)
| | - Liana Steenkamp
- Research Associate at the HIV & AIDS Research Unit, Nelson Mandela University, Qgeberha 6000, South Africa;
| | - Xikombiso Gertrude Mbhenyane
- Department of Human Nutrition, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town 8000, South Africa; (P.C.); (M.K.Z.); (A.B.T.)
- Correspondence:
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27
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Francis D, Ghazanfar S, Havula E, Krycer JR, Strbenac D, Senior A, Minard AY, Geddes T, Nelson ME, Weiss F, Stöckli J, Yang JYH, James DE. Genome-wide analysis in Drosophila reveals diet-by-gene interactions and uncovers diet-responsive genes. G3-GENES GENOMES GENETICS 2021; 11:6287063. [PMID: 34568906 PMCID: PMC8496270 DOI: 10.1093/g3journal/jkab171] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/11/2021] [Accepted: 05/08/2021] [Indexed: 11/26/2022]
Abstract
Genetic and environmental factors play a major role in metabolic health. However, they do not act in isolation, as a change in an environmental factor such as diet may exert different effects based on an individual’s genotype. Here, we sought to understand how such gene–diet interactions influenced nutrient storage and utilization, a major determinant of metabolic disease. We subjected 178 inbred strains from the Drosophila genetic reference panel (DGRP) to diets varying in sugar, fat, and protein. We assessed starvation resistance, a holistic phenotype of nutrient storage and utilization that can be robustly measured. Diet influenced the starvation resistance of most strains, but the effect varied markedly between strains such that some displayed better survival on a high carbohydrate diet (HCD) compared to a high-fat diet while others had opposing responses, illustrating a considerable gene × diet interaction. This demonstrates that genetics plays a major role in diet responses. Furthermore, heritability analysis revealed that the greatest genetic variability arose from diets either high in sugar or high in protein. To uncover the genetic variants that contribute to the heterogeneity in starvation resistance, we mapped 566 diet-responsive SNPs in 293 genes, 174 of which have human orthologs. Using whole-body knockdown, we identified two genes that were required for glucose tolerance, storage, and utilization. Strikingly, flies in which the expression of one of these genes, CG4607 a putative homolog of a mammalian glucose transporter, was reduced at the whole-body level, displayed lethality on a HCD. This study provides evidence that there is a strong interplay between diet and genetics in governing survival in response to starvation, a surrogate measure of nutrient storage efficiency and obesity. It is likely that a similar principle applies to higher organisms thus supporting the case for nutrigenomics as an important health strategy.
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Affiliation(s)
- Deanne Francis
- Charles Perkins Centre, The University of Sydney, Sydney, NSW 2006, Australia.,School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW, 2006, Australia
| | - Shila Ghazanfar
- Charles Perkins Centre, The University of Sydney, Sydney, NSW 2006, Australia.,School of Mathematics and Statistics, The University of Sydney, Sydney, NSW 2006, Australia
| | - Essi Havula
- Charles Perkins Centre, The University of Sydney, Sydney, NSW 2006, Australia.,School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW, 2006, Australia
| | - James R Krycer
- Charles Perkins Centre, The University of Sydney, Sydney, NSW 2006, Australia.,School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW, 2006, Australia
| | - Dario Strbenac
- Charles Perkins Centre, The University of Sydney, Sydney, NSW 2006, Australia.,School of Mathematics and Statistics, The University of Sydney, Sydney, NSW 2006, Australia
| | - Alistair Senior
- Charles Perkins Centre, The University of Sydney, Sydney, NSW 2006, Australia.,School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW, 2006, Australia
| | - Annabel Y Minard
- Charles Perkins Centre, The University of Sydney, Sydney, NSW 2006, Australia.,School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW, 2006, Australia
| | - Thomas Geddes
- Charles Perkins Centre, The University of Sydney, Sydney, NSW 2006, Australia.,School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW, 2006, Australia
| | - Marin E Nelson
- Charles Perkins Centre, The University of Sydney, Sydney, NSW 2006, Australia.,School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW, 2006, Australia
| | - Fiona Weiss
- Charles Perkins Centre, The University of Sydney, Sydney, NSW 2006, Australia.,School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW, 2006, Australia
| | - Jacqueline Stöckli
- Charles Perkins Centre, The University of Sydney, Sydney, NSW 2006, Australia.,School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW, 2006, Australia
| | - Jean Y H Yang
- Charles Perkins Centre, The University of Sydney, Sydney, NSW 2006, Australia.,School of Mathematics and Statistics, The University of Sydney, Sydney, NSW 2006, Australia
| | - David E James
- Charles Perkins Centre, The University of Sydney, Sydney, NSW 2006, Australia.,School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW, 2006, Australia.,School of Medical Sciences, The University of Sydney, Sydney, NSW 2006, Australia
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28
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Munakata Y, Michaelson LE. Executive Functions in Social Context: Implications for Conceptualizing, Measuring, and Supporting Developmental Trajectories. ANNUAL REVIEW OF DEVELOPMENTAL PSYCHOLOGY 2021; 3:139-163. [PMID: 38993653 PMCID: PMC11238700 DOI: 10.1146/annurev-devpsych-121318-085005] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/13/2024]
Abstract
Success in life is linked to executive functions, a collection of cognitive processes that support goal-directed behaviors. Executive functions is an umbrella term related to cognitive control, self-control, and more. Variations in executive functioning predict concurrent success in schooling, relationships, and behavior, as well as important life outcomes years later. Such findings may suggest that certain individuals are destined for good executive functioning and success. However, environmental influences on executive function and development have long been recognized. Recent research in this tradition demonstrates the power of social contextual influences on children's engagement of executive functions. Such findings suggest new interpretations of why individuals differ in executive functioning and associated life outcomes, including across cultures and socioeconomic statuses. These findings raise fundamental questions about how best to conceptualize, measure, and support executive functioning across diverse contexts. Future research addressing real-world dynamics and computational mechanisms will elucidate how executive functioning emerges in the world.
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Affiliation(s)
- Yuko Munakata
- Department of Psychology and Center for Mind and Brain, University of California, Davis, California 95616, USA
| | - Laura E Michaelson
- Human Services Division, American Institutes for Research, Arlington, Virginia 22202, USA
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29
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Pehkonen J, Viinikainen J, Kari JT, Böckerman P, Lehtimäki T, Raitakari O. Birth weight and adult income: An examination of mediation through adult height and body mass. HEALTH ECONOMICS 2021; 30:2383-2398. [PMID: 34250692 DOI: 10.1002/hec.4387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Revised: 06/09/2021] [Accepted: 06/21/2021] [Indexed: 06/13/2023]
Abstract
This paper examines the causal links between early human endowments and socioeconomic outcomes in adulthood. We use a genotyped longitudinal survey (Cardiovascular Risk in Young Finns Study) that is linked to the administrative registers of Statistics Finland. We focus on the effect of birth weight on income via two anthropometric mediators: body mass index (BMI) and height in adulthood. We find that (i) the genetic instruments for birth weight, adult height, and adult BMI are statistically powerful; (ii) there is a robust total effect of birth weight on income for men but not for women; (iii) the total effect of birth weight on income for men is partly mediated via height but not via BMI; and (iv) the share of the total effect mediated via height is substantial, of approximately 56%.
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Affiliation(s)
- Jaakko Pehkonen
- Jyväskylä University School of Business and Economics, University of Jyväskylä, Jyväskylä, Finland
| | - Jutta Viinikainen
- Jyväskylä University School of Business and Economics, University of Jyväskylä, Jyväskylä, Finland
| | - Jaana T Kari
- Jyväskylä University School of Business and Economics, University of Jyväskylä, Jyväskylä, Finland
| | - Petri Böckerman
- Jyväskylä University School of Business and Economics, University of Jyväskylä, Jyväskylä, Finland
- Labour Institute for Economic Research, Helsinki, Finland and IZA, Bonn, Germany
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Finnish Cardiovascular Research Center, Tampere, Finland
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Olli Raitakari
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
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30
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Yadegari M, Zare-Feyzabadi R, Zakariaeiseraji M, Sahebi R, Shabani N, Khedmatgozar H, Ferns GA, Ghazizadeh H, Mohammadi-Bajgiran M, Jalalian M, Zoghi M, Darban RA, Mohammadian-Ghosooni M, Esmaily H, Avan A, Ghayour-Mobarhan M. Interaction between the genetic variant of rs696217-ghrelin and food intake and obesity and dyslipidemia. Ann Hum Genet 2021; 86:14-23. [PMID: 34437712 DOI: 10.1111/ahg.12443] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2020] [Revised: 07/15/2021] [Accepted: 08/09/2021] [Indexed: 11/28/2022]
Abstract
In this study, we aimed to investigate the relationship between the genetic variant of rs696217-ghrelin and fasted lipid profile, indices of obesity, and environmental parameters. Amplification refractory mutation system-polymerase chain reaction (ARMs-PCR) was used for genotyping 1118 individuals recruited as part of the Mashhad Stroke and Heart Atherosclerotic Disorder (MASHAD) cohort study. The interaction between the presence of the genetic variant of rs696217-ghrelin and nutritional intake and other major determinants of obesity and lipid profile was examined in the MASHAD study population. Individuals with the TT genotype at the locus had the lowest prevalence of obesity compared to other genotypes among the individuals. No significant relationship was found between the two groups regarding the lipid profile and TT genotype. Furthermore, no significant association was found between dietary intake and the genetic variant of rs696217-ghrelin in the population under study. Individuals with a TT or GT genotype appear to be at a higher risk of obesity, compared to those with a GG genotype. The results of the current study revealed a significant association between the genetic variant of rs696217-ghrelin and obesity; however, this gene did not correlate with the risk factors of cardiovascular diseases and dyslipidemia in the Iranian population.
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Affiliation(s)
- Mehran Yadegari
- Department of Nutrition, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Reza Zare-Feyzabadi
- Metabolic Syndrome Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
| | | | - Reza Sahebi
- Department of Molecular Medicine, School of Advanced Technologies, Shahrekord University of Medical Sciences, Shahrekord, Iran
| | - Niloofar Shabani
- Department of Biostatistics & Epidemiology, School of Health, Management, & Social Determinants of Health Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Hamed Khedmatgozar
- Center for Biotechnology and Genomics, Texas Tech University, Lubbock, TX, USA
| | - Gordon A Ferns
- Division of Medical Education, Brighton & Sussex Medical School, Brighton, UK
| | - Hamideh Ghazizadeh
- International UNESCO Center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran.,Student Research Committee, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Maryam Mohammadi-Bajgiran
- Metabolic Syndrome Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.,International UNESCO Center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Melika Jalalian
- Department of Biology, Faculty of Sciences, Mashhad Branch, Islamic Azad University, Mashhad, Iran
| | - Mohadese Zoghi
- Department of Biology, Faculty of Sciences, Mashhad Branch, Islamic Azad University, Mashhad, Iran
| | - Reza Assaran Darban
- Department of Biology, Faculty of Sciences, Mashhad Branch, Islamic Azad University, Mashhad, Iran
| | | | - Habibollah Esmaily
- Social Determinants of Health Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Amir Avan
- Metabolic Syndrome Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.,Student Research Committee, Mashhad University of Medical Sciences, Mashhad, Iran.,Medical Genetics Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Majid Ghayour-Mobarhan
- Metabolic Syndrome Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.,International UNESCO Center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran
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Abstract
Adult heights in India are short. Child stunting remains high though the prevalence fell from 48% to 38% in the decade prior to 2016. This study assesses the links between parental height and child stunting using nationally representative data on 28,975 under-five-year-old children from the 2015-16 National Family Health Survey. Parental heights are represented as quintiles. Logistic regression was applied to estimate the effect of parental heights after adjustment for household wealth, parental schooling, place of residence and other covariates. The unadjusted estimates showed the effect on stunting to be similar for maternal height, wealth and education. In the multivariate analysis maternal height emerged as the strongest predictor of stunting, with adjusted odds of 2.85 for the shortest compared with the tallest quintile. The two other strong predictors of stunting were paternal height and wealth, with adjusted odds of close to 2.0 for the lowest quintile relative to the highest quintiles. In comparison, associations between stunting and other factors were minor, with the partial exception of mother's education. The findings underscore the key role of intergenerational influences on stunting. Maternal height has a stronger association with childhood stunting than paternal height and socioeconomic influences such as education and household wealth. The influence of paternal height is also strong, equal in magnitude to household wealth. Health workers need to be alerted to the special needs of short women.
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Ahmed A, Kramer MS, Bernard JY, Perez Trejo ME, Martin RM, Oken E, Yang S. Early childhood growth trajectory and later cognitive ability: evidence from a large prospective birth cohort of healthy term-born children. Int J Epidemiol 2021; 49:1998-2009. [PMID: 32743654 DOI: 10.1093/ije/dyaa105] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Accepted: 05/14/2020] [Indexed: 02/01/2023] Open
Abstract
BACKGROUND Most studies of associations between child growth and cognitive ability were based on size at one or two ages and a single measure of cognition. We aimed to characterize different aspects of early growth and their associations with cognitive outcomes in childhood through adolescence. METHODS In a sample of 12 368 Belarusian children born at term, we examined associations of length/height and weight trajectories over the first 6.5 years of life with cognitive ability at 6.5 and 16 years and its change over time. We estimated growth trajectories using two random-effects models-the SuperImposition by Translation and Rotation to model overall patterns of growth and the Jenss-Bayley to distinguish growth in infancy from post infancy. Cognitive ability was measured using the Wechsler Abbreviated Scales of Intelligence at 6.5 years and the computerized NeuroTrax test at 16 years. RESULTS Higher length/height between birth and 6.5 years was associated with higher cognitive scores at 6.5 and 16 years {2.7 points [95% confidence interval (CI): 2.1, 3.2] and 2.5 points [95% CI: 1.9, 3.0], respectively, per standard deviation [SD] increase}. A 1-SD delay in the childhood height-growth spurt was negatively associated with cognitive scores [-2.4 (95% CI: -3.0, -1.8) at age 6.5; -2.2 (95% CI: -2.7, -1.6) at 16 years]. Birth size and post-infancy growth velocity were positively associated with cognitive scores at both ages. Height trajectories were not associated with the change in cognitive score. Similar results were observed for weight trajectories. CONCLUSIONS Among term infants, the overall size, timing of the childhood growth spurt, size at birth and post-infancy growth velocity were all associated with cognitive ability at early-school age and adolescence.
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Affiliation(s)
- Asma Ahmed
- Department of Epidemiology, Biostatistics and Occupational Health, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
| | - Michael S Kramer
- Department of Epidemiology, Biostatistics and Occupational Health, Faculty of Medicine, McGill University, Montreal, Quebec, Canada.,Department of Pediatrics, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
| | - Jonathan Y Bernard
- Inserm, Centre for Research in Epidemiology and Statistics (CRESS), Research Team on Early Life Origins of Health, Villejuif, France.,Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore
| | | | - Richard M Martin
- Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK.,University Hospitals Bristol NHS Foundation Trust National Institute for Health Research (NIHR) Bristol Biomedical Research Centre, University of Bristol, Bristol, UK
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse (CoRAL), Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Seungmi Yang
- Department of Epidemiology, Biostatistics and Occupational Health, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
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Arrieta M, Ramos Gaspar R, Santos AL. Paleopathological diagnosis of a proportionate short stature on a female skeleton from the Coimbra collection: Turner syndrome versus other causes. INTERNATIONAL JOURNAL OF PALEOPATHOLOGY 2021; 33:234-244. [PMID: 34023583 DOI: 10.1016/j.ijpp.2021.05.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/14/2020] [Revised: 05/04/2021] [Accepted: 05/04/2021] [Indexed: 06/12/2023]
Abstract
OBJECTIVE This paper discusses the possible etiologies for the proportionate short stature of a female individual and provides data to allow the diagnosis of future cases of Turner Syndrome (TS) in paleopathology. MATERIALS Skeleton of a 26-years-old maid, from the Coimbra Identified Skeletal Collection, who died of measles in 1920. METHODS Macroscopic examination, imaging techniques, and metric analysis. RESULTS Her estimated height is 138.91-144.3 cm, approximately three standard deviations below the average female stature for early 20th century Portugal. The crural, brachial, humero-femoral, and intermembral indexes show a proportionate body, uncommon in dwarfism. Small skull with prominent frontal, maxillary prognathism, enamel hypoplasia, cribra orbitalia, porotic hyperostosis, proliferative reaction in the petrous portion of the temporal, obliterated sagittal suture, oval foramen magnum, and small mandible with masculine features. The sternal ends of the ribs are wider and vertebrae present developmental defects (e.g. atlas with both left transverse foramina and posterior tubercle open, absence of the right transverse foramen in the axis, sacrum with six vertebrae). CONCLUSIONS The differential diagnosis point to a possible case of Turner Syndrome. SIGNIFICANCE This study describes the features of Turner Syndrome and provide detail metric analysis of this individual, which will be useful for future paleopathological diagnoses. LIMITATIONS The confirmation of the diagnosis will only be possible through genetic analysis. SUGGESTIONS FOR FURTHER RESEARCH Reanalysis of skeletal individuals with short stature to detect possible cases of Turner Syndrome.
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Affiliation(s)
- Mario Arrieta
- CONICET - Laboratorio de Biarqueología, Universidad Nacional de Río Cuarto, Ruta Nac. 36 - Km. 601, X5804BYA, Río Cuarto, Córdoba, Argentina.
| | - Rosa Ramos Gaspar
- Coimbra Hospital and Universitary Centre (CHUC), Portugal; Department of Life Sciences, Research Centre for Anthropology and Health (CIAS), University of Coimbra, Calçada Martim de Freitas, 3000-456, Coimbra, Portugal.
| | - Ana Luisa Santos
- Department of Life Sciences, Research Centre for Anthropology and Health (CIAS), University of Coimbra, Calçada Martim de Freitas, 3000-456, Coimbra, Portugal.
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Martín-Turrero I, Lescure Rodríguez J, Lora Pablos D, López-Ejeda N, Vargas Brizuela A, Martínez Álvarez JR, Marrodán Serrano MD. Growth patterns of normo-nourished Afghan, Haitian and Congolese children aged 6-59 months: A comparative study. Am J Hum Biol 2021; 34:e23620. [PMID: 34042248 DOI: 10.1002/ajhb.23620] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Revised: 03/24/2021] [Accepted: 05/07/2021] [Indexed: 11/11/2022] Open
Affiliation(s)
- Irene Martín-Turrero
- EPINUT Research Group, Department of Biodiversity, Ecology and Evolution, Complutense University of Madrid, Madrid, Spain.,Department of Surgery, Medical and Social Sciences, Faculty of Medicine and Health Sciences, University of Alcalá, Madrid, Spain
| | - Javier Lescure Rodríguez
- EPINUT Research Group, Department of Biodiversity, Ecology and Evolution, Complutense University of Madrid, Madrid, Spain
| | - David Lora Pablos
- Research Institute Hospital 12 de Octubre (i+12), CIBER Epidemiology and Public Health (CIBERESP), Department of Statistics and Data Science, Faculty of Statistical Studies, Complutense University of Madrid, Madrid, Spain
| | - Noemí López-Ejeda
- EPINUT Research Group, Department of Biodiversity, Ecology and Evolution, Complutense University of Madrid, Madrid, Spain.,NGO, Action Against Hunger, Madrid, Spain
| | | | - Jesús Román Martínez Álvarez
- EPINUT Research Group, Department of Biodiversity, Ecology and Evolution, Complutense University of Madrid, Madrid, Spain
| | - María Dolores Marrodán Serrano
- EPINUT Research Group, Department of Biodiversity, Ecology and Evolution, Complutense University of Madrid, Madrid, Spain.,Institute of Environmental Sciences (IUCA), Complutense University of Madrid, Madrid, Spain
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Rahmawati NT, Hastuti J. Secular Change in Body Size and Somatotype of Indonesian Children aged 7–15 Years (1999–2019). Open Access Maced J Med Sci 2021. [DOI: 10.3889/oamjms.2021.6154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
BACKGROUND: Secular changes assessment can help identifying the quality of health, wealth, and nutrition among populations and provide suggestions for policymakers.
AIM: To examine the secular changes in weight, height, body mass index, and somatotype in Indonesian children between 1999 and 2019.
METHODS: This cross-sectional study was conducted in 1999 and 2019 on 2021 children aged 7–15 years in Yogyakarta, Indonesia. Anthropometric measurements including height, weight, humerus and femur breadths, circumferences of upper arm and calf; skinfold thickness of triceps, subscapular, suprailiac, and calf were measured. Body mass index (BMI) was calculated as kg/m2. Somatotype components were defined by the Carter-Heath method. Statistical analyses used were three-ways ANOVA and least significant difference post hoc tests.
RESULTS: Significant differences for boys and girls were found for height, weight, BMI, and three components of somatotype across the 2-time points. The boys in period 2019 were the tallest and girls were the heaviest, and for BMI, the highest value was observed in 2019 (girls). The children in the 1999 period had somatotype values 3.3 - 3.3 - 3.7 (boys) and 3.9 - 3.0 - 3.5 (girls), while in the 2019 period the somatotype values for boys were 3.5 - 4.5 - 3.0 and 4.3 - 4.1 - 2.4 for girls.
CONCLUSION: In general, based on the order of age, there is a similar pattern between children in the two periods. Among Indonesian children from 1999 to 2019, there were positive trends in weight, BMI, endomorph, and mesomorph components, whereas a negative trend for the ectomorph component.
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Factors Associated with Exposure to Dietary Bisphenols in Adolescents. Nutrients 2021; 13:nu13051553. [PMID: 34062990 PMCID: PMC8147950 DOI: 10.3390/nu13051553] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Revised: 04/29/2021] [Accepted: 05/03/2021] [Indexed: 01/17/2023] Open
Abstract
Obesogenic endocrine-disrupting chemicals, such as bisphenol A (BPA) and its analogue bisphenol S (BPS), seem to play an important role in the development of obesity, although contradictory results have been reported. The aim of the present study was to conduct a gender analysis of the factors associated with exposure to dietary bisphenols in 585 Spanish adolescents. Dietary BPA and BPS exposure was assessed using a food frequency questionnaire. Foods and macronutrients accounting for more than 95% of energy intake were selected for analysis. Stepwise regression was used to estimate the foods that most contributed to dietary bisphenol exposure in the sample. Gender-related factors associated with greater dietary bisphenol exposure were evaluated using multivariate logistic regression models. Canned tuna was the main dietary source of BPA and BPS in both adolescent boys and girls. Overweight/obese girls showed a higher risk of high dietary exposure to BPA (odds ratio (OR): 3.38, 95% confidence interval (CI): 1.25-9.07) and total bisphenols (OR: 2.81, 95% CI: 1.03-7.67) in comparison with girls with a BMI lower than 25 kg/m2. Present results indicate a positive association of dietary exposure to both total bisphenols and BPA with being overweight/obese in adolescent girls.
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Bozzi DG, Nicholas LH. A Causal Estimate of Long-Term Health Care Spending Attributable to Body Mass Index Among Adults. ECONOMICS AND HUMAN BIOLOGY 2021; 41:100985. [PMID: 33529918 DOI: 10.1016/j.ehb.2021.100985] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Revised: 01/18/2021] [Accepted: 01/19/2021] [Indexed: 06/12/2023]
Abstract
While high body mass index (BMI) is believed to be a major driver of poor health, there is little evidence about whether it leads to higher health care spending. Understanding the causal contribution of BMI to health care spending is necessary to estimate the returns to investment in weight loss efforts. We exploit genetic variation in BMI across siblings as a natural experiment to estimate the impact of BMI on cumulative third party and out-of-pocket health care spending among adults using the Panel Study of Income Dynamics data from 1999 through 2011. We estimate a two-stage residual inclusion model with a generalized linear model. We find a $611.60 increase in cumulative insurer spending for each one-unit increase in BMI. This amounts to $130.49 in mean annual spending, and is two times higher than the non-causal estimate. We find no difference in out-of-pocket spending by BMI. These findings suggest that having a higher BMI in young/middle adulthood leads to significantly higher insurer health expenditures over the life course, which can help to inform public and private insurer policies on BMI reduction and control.
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Affiliation(s)
- Debra G Bozzi
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, United States.
| | - Lauren Hersch Nicholas
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, United States; Department of Health Systems, Management & Policy, Colorado School of Public Health, United States
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38
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Bouchard C. Genetics of Obesity: What We Have Learned Over Decades of Research. Obesity (Silver Spring) 2021; 29:802-820. [PMID: 33899337 DOI: 10.1002/oby.23116] [Citation(s) in RCA: 61] [Impact Index Per Article: 20.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Revised: 12/15/2020] [Accepted: 12/16/2020] [Indexed: 12/14/2022]
Abstract
There is a genetic component to human obesity that accounts for 40% to 50% of the variability in body weight status but that is lower among normal weight individuals (about 30%) and substantially higher in the subpopulation of individuals with obesity and severe obesity (about 60%-80%). The appreciation that heritability varies across classes of BMI represents an important advance. After controlling for BMI, ectopic fat and fat distribution traits are characterized by heritability levels ranging from 30% to 55%. Defects in at least 15 genes are the cause of monogenic obesity cases, resulting mostly from deficiencies in the leptin-melanocortin signaling pathway. Approximately two-thirds of the BMI heritability can be imputed to common DNA variants, whereas low-frequency and rare variants explain the remaining fraction. Diminishing allele effect size is observed as the number of obesity-associated variants expands, with most BMI-increasing or -decreasing alleles contributing only a few grams or less to body weight. Obesity-promoting alleles exert minimal effects in normal weight individuals but have larger effects in individuals with a proneness to obesity, suggesting a higher penetrance; however, it is not known whether these larger effect sizes precede obesity or are caused by an obese state. The obesity genetic risk is conditioned by thousands of DNA variants that make genetically based obesity prevention and treatment a major challenge.
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Affiliation(s)
- Claude Bouchard
- Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
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39
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First growth reference curves for Tunisian children and adolescents. Arch Pediatr 2021; 28:381-391. [PMID: 33931260 DOI: 10.1016/j.arcped.2021.03.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Revised: 12/30/2020] [Accepted: 03/16/2021] [Indexed: 11/24/2022]
Abstract
A growth chart is a powerful graphical tool displaying children's growth patterns. The aim of this study was to develop growth reference curves appropriate for Tunisian children. The collection of data from this cross-sectional study was conducted on 4358 healthy subjects (2182 girls and 2176 boys) in three pediatric centers and 15 schools. Smoothed growth curves were estimated using the LMS method. The smoothed percentile curves for height, weight, sitting height (SH), and leg length (LL) increase rapidly during the 1st years of life and then progress slowly until 18 years. However, the sitting height-to-height ratio (SHTHR) curves decrease sharply before the age of 4 and then stabilize in both sexes. In addition, the comparison between boys and girls indicated that the values are very similar at most ages. Except during puberty, the values in boys increase (P<0.0001) for the weight, height, SH, and LL parameters and decline (P<0.0001) in the SHTHR compared to the values in girls. The growth rate curves presented two remarkable velocity peaks: the first appears during the 1st years of life and the second at puberty. Height gains at the last stage of growth (puberty) are around 15.45% of final height for boys and 15.52% for girls. This study showed a number of discrepancies for certain age groups when comparing the median weight and height values with those of the World Health Organization, the National Center for Health Statistics, and Algerian references in both sexes. Conclusion: The smoothed percentile curves for weight and height will be useful to access the general growth of Tunisian children. Furthermore, the SH, LL, and SHTHR curves can be used to monitor body proportions during childhood.
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Reinka MA, Quinn DM, Puhl RM. Examining the relationship between weight controllability beliefs and eating behaviors: The role of internalized weight stigma and BMI. Appetite 2021; 164:105257. [PMID: 33864861 DOI: 10.1016/j.appet.2021.105257] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Revised: 02/18/2021] [Accepted: 04/06/2021] [Indexed: 01/31/2023]
Abstract
Body weight is often viewed as personally controllable. This belief, however, ignores the complex etiology of body weight. While such attributions of personal willpower may help some individuals regulate their eating patterns, they have also been associated with increased internalized weight stigma which, itself, is associated with more disinhibited eating. The current investigation aimed to examine how internalized weight stigma, along with BMI, may explain the effect of weight controllability beliefs on disparate dietary behaviors. A community sample of 2702 U.S. adults completed an online survey about their weight controllability beliefs, eating behaviors, and internalized weight stigma, as well as demographic items and self-reported BMI. Results showed that greater weight controllability beliefs were positively related to both more restricted eating, β = 0.135, p < .001, and more disinhibited eating, β = 0.123, p < .001. This ironic effect was partially explained by increased internalized weight stigma. Moreover, BMI moderated the relationship, such that individuals with lower weights demonstrated stronger effects for two of the three eating outcomes than those with higher weights. These findings advance our understanding of the relationship between attributions of personal control for body weight and subsequent health behaviors, and further underscore the need to target internalized weight stigma in dietary interventions.
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Affiliation(s)
- Mora A Reinka
- Department of Psychological Sciences, University of Connecticut, 406 Babbidge Rd., Unit 1020, Storrs, CT, 06269-1020, USA; Department of Psychology, Ursinus College, 601 E. Main St., P.O. Box 1000, Collegeville, PA, 19426-1000, USA.
| | - Diane M Quinn
- Department of Psychological Sciences, University of Connecticut, 406 Babbidge Rd., Unit 1020, Storrs, CT, 06269-1020, USA
| | - Rebecca M Puhl
- University of Connecticut Rudd Center for Food Policy & Obesity; Department of Human Development and Family Sciences, University of Connecticut, One Constitution Plaza, Suite 600, Hartford, CT, 06103, USA
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Kozieł S, Chakraborty R, Bose K, Ignasiak Z, Gomula A, Nowak-Szczepanska N. The effect of a natural disaster on handgrip strength in prepubertal Indian children exposed to a severe cyclone during the prenatal and early postnatal growth. Sci Rep 2021; 11:7473. [PMID: 33811238 PMCID: PMC8018953 DOI: 10.1038/s41598-021-86845-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Accepted: 03/16/2021] [Indexed: 11/09/2022] Open
Abstract
Natural disasters (NDs) experienced by women and their children during prenatal and infant growth may have long-lasting effects on offspring’s development. Handgrip strength (HGS) is one of the measures of muscular strength and an indicator of health status. This study compared HGS in children exposed to cyclone Aila in India during their prenatal and infant growth compared to a control group from a non-affected, adjacent area. The total sample involved 444 boys and 423 girls aged 7–9 years, categorised into 3 groups: prenatally exposed to Aila, exposed to Aila in infancy, and the control group, non-exposed to Aila. Results revealed that prenatally exposed children of both sexes had significantly lower HGS than the controls (at least, p < 0.001 in boys; p < 0.05 in girls). On the other hand, the postnatally exposed boys, but not the girls, showed lower HGS than the controls. A significant effect of a group factor (ND exposure) on HGS was observed even after controlling for confounding variables (age, height, BMI, birth weight, gestational age; at least, p < 0.05). Our findings indicate that prenatal or early postnatal experience of a ND may have association with impaired HGS in prepubertal children.
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Affiliation(s)
- Sławomir Kozieł
- Department of Anthropology, Ludwik Hirszfeld Institute of Immunology and Experimental Therapy, Polish Academy of Sciences, Wroclaw, Poland
| | - Raja Chakraborty
- Department of Anthropology, Dinabandhu Mahavidyalaya, Bongaon, West Bengal, India.
| | - Kaushik Bose
- Department of Anthropology, Vidyasagar University, Midnapore, West Bengal, India
| | - Zofia Ignasiak
- Department of Biostructure, University School of Physical Education in Wroclaw, Wroclaw, Poland
| | - Aleksandra Gomula
- Department of Anthropology, Ludwik Hirszfeld Institute of Immunology and Experimental Therapy, Polish Academy of Sciences, Wroclaw, Poland
| | - Natalia Nowak-Szczepanska
- Department of Anthropology, Ludwik Hirszfeld Institute of Immunology and Experimental Therapy, Polish Academy of Sciences, Wroclaw, Poland
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GWAS reveal a role for the central nervous system in regulating weight and weight change in response to exercise. Sci Rep 2021; 11:5144. [PMID: 33664357 PMCID: PMC7933348 DOI: 10.1038/s41598-021-84534-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Accepted: 02/17/2021] [Indexed: 01/16/2023] Open
Abstract
Body size and weight show considerable variation both within and between species. This variation is controlled in part by genetics, but also strongly influenced by environmental factors including diet and the level of activity experienced by the individual. Due to the increasing obesity epidemic in much of the world, there is considerable interest in the genetic factors that control body weight and how weight changes in response to exercise treatments. Here, we address this question in the Drosophila model system, utilizing 38 strains of the Drosophila Genetics Reference Panel. We use GWAS to identify the molecular pathways that control weight and weight changes in response to exercise. We find that there is a complex set of molecular pathways controlling weight, with many genes linked to the central nervous system (CNS). The CNS also plays a role in the weight change with exercise, in particular, signaling from the CNS. Additional analyses revealed that weight in Drosophila is driven by two factors, animal size, and body composition, as the amount of fat mass versus lean mass impacts the density. Thus, while the CNS appears to be important for weight and exercise-induced weight change, signaling pathways are particularly important for determining how exercise impacts weight.
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Ssentongo P, Ssentongo AE, Ba DM, Ericson JE, Na M, Gao X, Fronterre C, Chinchilli VM, Schiff SJ. Global, regional and national epidemiology and prevalence of child stunting, wasting and underweight in low- and middle-income countries, 2006-2018. Sci Rep 2021; 11:5204. [PMID: 33664313 PMCID: PMC7933191 DOI: 10.1038/s41598-021-84302-w] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Accepted: 02/15/2021] [Indexed: 01/06/2023] Open
Abstract
In 2016, undernutrition, as manifested in childhood stunting, wasting, and underweight were estimated to cause over 1.0 million deaths, 3.9% of years of life lost, and 3.8% of disability-adjusted life years globally. The objective of this study is to estimate the prevalence of undernutrition in low- and middle-income countries (LMICs) using the 2006-2018 cross-sectional nationally representative demographic and health surveys (DHS) data and to explore the sources of regional variations. Anthropometric measurements of children 0-59 months of age from DHS in 62 LMICs worldwide were used. Complete information was available for height-for-age (n = 624,734), weight-for-height (n = 625,230) and weight-for-age (n = 626,130). Random-effects models were fit to estimate the pooled prevalence of stunting, wasting, and underweight. Sources of heterogeneity in the prevalence estimates were explored through subgroup meta-analyses and meta-regression using generalized linear mixed-effects models. Human development index (a country-specific composite index based on life expectancy, literacy, access to education and per capita gross domestic product) and the United Nations region were explored as potential sources of variation in undernutrition. The overall prevalence was 29.1% (95% CI 26.7%, 31.6%) for stunting, 6.3% (95% CI 4.6%, 8.2%) for wasting, and 13.7% (95% CI 10.9%, 16.9%) for underweight. Subgroup analyses suggested that Western Africa, Southern Asia, and Southeastern Asia had a substantially higher estimated prevalence of undernutrition than global average estimates. In multivariable meta-regression, a combination of human development index and United Nations region (a proxy for geographical variation) explained 54%, 56%, and 66% of the variation in stunting, wasting, and underweight prevalence, respectively. Our findings demonstrate that regional, subregional, and country disparities in undernutrition remain, and the residual gaps to close towards achieving the second sustainable development goal-ending undernutrition by 2030.
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Affiliation(s)
- Paddy Ssentongo
- Center for Neural Engineering, The Pennsylvania State University, University Park, PA, 16802, USA.
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA, 16802, USA.
- Department of Public Health Sciences, The Pennsylvania State University College of Medicine, 500 University Drive, Hershey, PA, 17033, USA.
| | - Anna E Ssentongo
- Department of Public Health Sciences, The Pennsylvania State University College of Medicine, 500 University Drive, Hershey, PA, 17033, USA
- Department of Surgery, The Pennsylvania State University College of Medicine, Hershey, PA, 17033, USA
| | - Djibril M Ba
- Department of Public Health Sciences, The Pennsylvania State University College of Medicine, 500 University Drive, Hershey, PA, 17033, USA
- Center for Applied Studies in Health Economics, The Pennsylvania State University College of Medicine, Hershey, PA, 17033, USA
| | - Jessica E Ericson
- Department of Pediatrics, The Pennsylvania State University College of Medicine, Hershey, PA, 17033, USA
| | - Muzi Na
- Department of Nutritional Sciences, College of Health and Human Development, The Pennsylvania State University, University Park, PA, 16802, USA
| | - Xiang Gao
- Department of Nutritional Sciences, College of Health and Human Development, The Pennsylvania State University, University Park, PA, 16802, USA
| | - Claudio Fronterre
- Centre for Health Informatics, Computing, and Statistics, Lancaster University, Lancaster, UK
| | - Vernon M Chinchilli
- Department of Public Health Sciences, The Pennsylvania State University College of Medicine, 500 University Drive, Hershey, PA, 17033, USA
| | - Steven J Schiff
- Center for Neural Engineering, The Pennsylvania State University, University Park, PA, 16802, USA
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA, 16802, USA
- The Center for Infectious Disease Dynamics, The Pennsylvania State University, University Park, PA, 16802, USA
- Department of Neurosurgery, The Pennsylvania State University College of Medicine, Hershey, PA, 17033, USA
- Department of Physics, The Pennsylvania State University, University Park, PA, 16802, USA
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44
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Silventoinen K, Konttinen H. Obesity and eating behavior from the perspective of twin and genetic research. Neurosci Biobehav Rev 2021; 109:150-165. [PMID: 31959301 DOI: 10.1016/j.neubiorev.2019.12.012] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2019] [Revised: 11/11/2019] [Accepted: 12/09/2019] [Indexed: 12/21/2022]
Abstract
Obesity has dramatically increased during the last decades and is currently one of the most serious global health problems. We present a hypothesis that obesity is a neuro-behavioral disease having a strong genetic background mediated largely by eating behavior and is sensitive to the macro-environment; we study this hypothesis from the perspective of genetic research. Genetic family and genome-wide-association studies have shown well that body mass index (BMI, kg/m2) is a highly heritable and polygenic trait. New genetic variation of BMI emerges after early childhood. Candidate genes of BMI notably express in brain tissue, supporting that this new variation is related to behavior. Obesogenic environments at both childhood family and societal levels reinforce the genetic susceptibility to obesity. Genetic factors have a clear influence on macro-nutrient intake and appetite-related eating behavior traits. Results on the gene-by-diet interactions in obesity are mixed, but emerging evidence suggests that eating behavior traits partly mediate the effect of genes on BMI. However, more rigorous prospective study designs controlling for measurement bias are still needed.
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Affiliation(s)
- Karri Silventoinen
- Department of Social Research, University of Helsinki, Helsinki, Finland; Department of Public Health, University of Helsinki, Helsinki, Finland.
| | - Hanna Konttinen
- Department of Social Research, University of Helsinki, Helsinki, Finland
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Hunjan AK, Cheesman R, Coleman JRI, Hübel C, Eley TC, Breen G. No Evidence for Passive Gene-Environment Correlation or the Influence of Genetic Risk for Psychiatric Disorders on Adult Body Composition via the Adoption Design. Behav Genet 2021; 51:58-67. [PMID: 33141367 PMCID: PMC7815612 DOI: 10.1007/s10519-020-10028-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2020] [Accepted: 10/19/2020] [Indexed: 01/22/2023]
Abstract
The relationship between genetic and environmental risk is complex and for many traits, estimates of genetic effects may be inflated by passive gene-environment correlation. This arises because biological offspring inherit both their genotypes and rearing environment from their parents. We tested for passive gene-environment correlation in adult body composition traits using the 'natural experiment' of childhood adoption, which removes passive gene-environment correlation within families. Specifically, we compared 6165 adoptees with propensity score matched non-adoptees in the UK Biobank. We also tested whether passive gene-environment correlation inflates the association between psychiatric genetic risk and body composition. We found no evidence for inflation of heritability or polygenic scores in non-adoptees compared to adoptees for a range of body composition traits. Furthermore, polygenic risk scores for anorexia nervosa, attention-deficit/hyperactivity disorder and schizophrenia did not differ in their influence on body composition traits in adoptees and non-adoptees. These findings suggest that passive gene-environment correlation does not inflate genetic effects for body composition, or the influence of psychiatric disorder genetic risk on body composition. Our design does not look at passive gene-environment correlation in childhood, and does not test for 'pure' environmental effects or the effects of active and evocative gene-environment correlations, where child genetics directly influences home environment. However, these findings suggest that genetic influences identified for body composition in this adult sample are direct, and not confounded by the family environment provided by biological relatives.
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Affiliation(s)
- Avina K Hunjan
- Social Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- NIHR Maudsley Biomedical Research Centre, South London and Maudsley NHS Trust, London, UK
| | - Rosa Cheesman
- Social Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Jonathan R I Coleman
- Social Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- NIHR Maudsley Biomedical Research Centre, South London and Maudsley NHS Trust, London, UK
| | - Christopher Hübel
- Social Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- NIHR Maudsley Biomedical Research Centre, South London and Maudsley NHS Trust, London, UK
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
- National Centre for Register-based Research, Department of Economics and Business Economics, Aarhus University, Aarhus, Denmark
| | - Thalia C Eley
- Social Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- NIHR Maudsley Biomedical Research Centre, South London and Maudsley NHS Trust, London, UK
| | - Gerome Breen
- Social Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
- NIHR Maudsley Biomedical Research Centre, South London and Maudsley NHS Trust, London, UK.
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Methylation of Hypothalamic Tsc1-mTOR Signaling in Regulation of Obesity and Obesity Resistance. BIOMED RESEARCH INTERNATIONAL 2020; 2020:8723869. [PMID: 33532487 PMCID: PMC7836023 DOI: 10.1155/2020/8723869] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/21/2020] [Revised: 11/10/2020] [Accepted: 12/20/2020] [Indexed: 02/05/2023]
Abstract
The Tsc1-mTOR signaling pathway is often related to obesity, and epigenetic modification may lead to expression changes of obesity-related gene. Therefore, we aim to investigate the methylation of the Tsc1-mTOR signaling pathway in regulation of obesity susceptibility. Wistar rats were fed a normal diet or a high-fat diet to develop animal models. Protein and mRNA expression levels of Tsc1-mTOR signaling in the hypothalamus were determined by Western blot and quantitative real-time PCR. Methylation of Tsc1 gene promoter was detected by bisulfite genomic sequence. Both mRNA and protein expression levels of Tsc1 in DIO group hypothalamus were lower; mTOR and its downstream targets S6K1, 4EBP1, and S6 protein expression levels were higher than those of the DIO-R group and the chow group. The Tsc1 gene promoter methylation rate in the hypothalamus was 92.05 ± 3.07% in the DIO group, 87.27 ± 1.91% in the DIO-R group, and 88.18% ± 3.20% in the chow group, respectively, with significantly higher levels in the DIO group. Both the expression levels of Tsc1 gene promoter methylation and Tsc1-mTOR signaling pathway in the hypothalamus of DIO rats and DIO-R rats are different. These findings may shed light on the potential mechanism for the differentiation of obesity susceptibility.
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Hruschka DJ. One size does not fit all. How universal standards for normal height can hide deprivation and create false paradoxes. Am J Hum Biol 2020; 33:e23552. [PMID: 33314421 DOI: 10.1002/ajhb.23552] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2020] [Revised: 11/03/2020] [Accepted: 11/28/2020] [Indexed: 12/28/2022] Open
Abstract
Public health practitioners and social scientists frequently compare height against one-size-fits-all standards of human growth to assess well-being, deprivation, and disease risk. However, underlying differences in height can make some naturally tall populations appear well-off by universal standards, even though they live in severe states of deprivation. In this article, I describe the worldwide extent of these population differences in height and illustrate how using a universal yardstick to compare population height can create puzzling disparities (eg, between South Asia and sub-Saharan Africa) while also underestimating childhood stunting in specific world regions (eg, West Africa and Haiti). I conclude by discussing potential challenges of developing and implementing population-sensitive standards for assessing healthy development.
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Affiliation(s)
- Daniel J Hruschka
- School of Human Evolution and Social Change, Arizona State University, Tempe, Arizona, USA
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48
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Finaret AB, Masters WA. Can shorter mothers have taller children? Nutritional mobility, health equity and the intergenerational transmission of relative height. ECONOMICS AND HUMAN BIOLOGY 2020; 39:100928. [PMID: 33068874 DOI: 10.1016/j.ehb.2020.100928] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/11/2020] [Revised: 09/11/2020] [Accepted: 09/17/2020] [Indexed: 06/11/2023]
Abstract
This study develops the concept of nutritional mobility, defined here as the probability that a mother ranked low in her cohort's height distribution will have a child who attains a higher rank order. We demonstrate that rank-order regression provides a robust metric of health equity, revealing differences in opportunities for each child to reach their own growth potential. We estimate four indicators of nutritional mobility and test for associations between nutritional mobility and various local economic and environmental factors. Nutritional mobility has improved over time, and the nutrition environment contributes about 2.86 times as much as a mother's height to her child's expected rank in height-for-age. Populations with the least mobility are in Latin America, and the most mobility is in more urbanized areas of Africa and Asia. Rank-order mobility is an important aspect of health equity, offering valuable insight into the role of socioecological factors in nutrition improvement across generations.
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Affiliation(s)
- Amelia B Finaret
- Department of Global Health Studies, Allegheny College, 520 N. Main Street, Meadville, PA, 16335, United States.
| | - William A Masters
- Friedman School of Nutrition Science and Policy and Department of Economics, Tufts University, United States
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49
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Lewitt MS, Baker JS. Relationship between abdominal adiposity, cardiovascular fitness, and biomarkers of cardiovascular risk in British adolescents. JOURNAL OF SPORT AND HEALTH SCIENCE 2020; 9:634-644. [PMID: 33308814 PMCID: PMC7749262 DOI: 10.1016/j.jshs.2019.02.004] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/20/2017] [Revised: 05/18/2018] [Accepted: 10/06/2018] [Indexed: 05/13/2023]
Abstract
BACKGROUND Puberty is a critical time in the development of overweight and obesity. The aim of this study was to examine relationships between measures of adiposity, cardiovascular fitness, and biomarkers of cardiovascular disease risk in adolescents. METHODS In a cross-sectional study design, 129 girls and 95 boys aged 12.9-14.4 years at various stages of puberty were included, along with their mothers (n = 217) and fathers (n = 207). Anthropometric assessments of adiposity were made, along with cardiovascular physical fitness, using the 20-m shuttle run test, and biomarkers associated with cardiovascular risk, including glucose, insulin, triglyceride, fibrinogen, and C-reactive protein (CRP) concentrations. RESULTS Waist-to-height ratio values were similar in boys and girls and correlated positively with diastolic blood pressure, insulin, triglyceride, fibrinogen, and CRP concentrations, and inversely with cardiovascular fitness scores. Skinfold thickness measurements were higher in girls. High-molecular-weight adiponectin concentrations were lower in boys than girls, particularly in late puberty, and CRP levels were higher. Cardiovascular fitness, maternal body mass index (BMI), and paternal BMI contributed independently to the variance in waist measurements in girls and boys. Gender, triceps skinfold thickness, and weight-to-height ratio, but not parental BMI, contributed independently to the variance in cardiovascular fitness. CONCLUSION There is a relationship between measures of adolescent adiposity and parental weight that involves factors other than cardiovascular fitness. Adolescent boys have relatively more abdominal fat than girls and a tendency to have a proinflammatory profile of biomarkers. These observations suggest that family and social environmental interventions are best undertaken earlier in childhood, particularly among boys.
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Affiliation(s)
- Moira S Lewitt
- School of Health and Life Sciences, University of the West of Scotland, Paisley PA1 2BE, Scotland, UK.
| | - Julien S Baker
- Institute of Clinical Exercise and Health Science, School of Health and Life Sciences, University of the West of Scotland, Lanarkshire G72 0LH, Scotland, UK
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50
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Rodriguez-Martinez A, Zhou B, Sophiea MK, Bentham J, Paciorek CJ, Iurilli MLC, Carrillo-Larco RM, Bennett JE, Di Cesare M, Taddei C, Bixby H, Stevens GA, Riley LM, Cowan MJ, Savin S, Danaei G, Chirita-Emandi A, Kengne AP, Khang YH, Laxmaiah A, Malekzadeh R, Miranda JJ, Moon JS, Popovic SR, Sørensen TIA, Soric M, Starc G, Zainuddin AA, Gregg EW, Bhutta ZA, Black R, Abarca-Gómez L, Abdeen ZA, Abdrakhmanova S, Abdul Ghaffar S, Abdul Rahim HF, Abu-Rmeileh NM, Abubakar Garba J, Acosta-Cazares B, Adams RJ, Aekplakorn W, Afsana K, Afzal S, Agdeppa IA, Aghazadeh-Attari J, Aguilar-Salinas CA, Agyemang C, Ahmad MH, Ahmad NA, Ahmadi A, Ahmadi N, Ahmed SH, Ahrens W, Aitmurzaeva G, Ajlouni K, Al-Hazzaa HM, Al-Othman AR, Al-Raddadi R, Alarouj M, AlBuhairan F, AlDhukair S, Ali MM, Alkandari A, Alkerwi A, Allin K, Alvarez-Pedrerol M, Aly E, Amarapurkar DN, Amiri P, Amougou N, Amouyel P, Andersen LB, Anderssen SA, Ängquist L, Anjana RM, Ansari-Moghaddam A, Aounallah-Skhiri H, Araújo J, Ariansen I, Aris T, Arku RE, Arlappa N, Aryal KK, Aspelund T, Assah FK, Assunção MCF, Aung MS, Auvinen J, Avdicová M, Azevedo A, Azimi-Nezhad M, Azizi F, Azmin M, Babu BV, Bæksgaard Jørgensen M, Baharudin A, Bahijri S, Baker JL, Balakrishna N, Bamoshmoosh M, Banach M, Bandosz P, Banegas JR, Baran J, Barbagallo CM, Barceló A, Barkat A, Barros AJD, Barros MVG, Basit A, Bastos JLD, Bata I, Batieha AM, Batista RL, Battakova Z, Batyrbek A, Baur LA, Beaglehole R, Bel-Serrat S, Belavendra A, Ben Romdhane H, Benedics J, Benet M, Bennett JE, Berkinbayev S, Bernabe-Ortiz A, Bernotiene G, Bettiol H, Bezerra J, Bhagyalaxmi A, Bharadwaj S, Bhargava SK, Bhutta ZA, Bi H, Bi Y, Bia D, Bika Lele EC, Bikbov MM, Bista B, Bjelica DJ, Bjerregaard P, Bjertness E, Bjertness MB, Björkelund C, Bloch KV, Blokstra A, Bo S, Bobak M, Boddy LM, Boehm BO, Boeing H, Boggia JG, Bogova E, Boissonnet CP, Bojesen SE, Bonaccio M, Bongard V, Bonilla-Vargas A, Bopp M, Borghs H, Bovet P, Braeckevelt L, Braeckman L, Bragt MCE, Brajkovich I, Branca F, Breckenkamp J, Breda J, Brenner H, Brewster LM, Brian GR, Brinduse L, Brophy S, Bruno G, Bueno-de-Mesquita HB, Bugge A, Buoncristiano M, Burazeri G, Burns C, Cabrera de León A, Cacciottolo J, Cai H, Cama T, Cameron C, Camolas J, Can G, Cândido APC, Cañete F, Capanzana MV, Capková N, Capuano E, Capuano V, Cardol M, Cardoso VC, Carlsson AC, Carmuega E, Carvalho J, Casajús JA, Casanueva FF, Celikcan E, Censi L, Cervantes-Loaiza M, Cesar JA, Chamukuttan S, Chan AW, Chan Q, Chaturvedi HK, Chaturvedi N, Che Abdul Rahim N, Chen CJ, Chen F, Chen H, Chen S, Chen Z, Cheng CY, Cheraghian B, Chetrit A, Chikova-Iscener E, Chiolero A, Chiou ST, Chirita-Emandi A, Chirlaque MD, Cho B, Christensen K, Christofaro DG, Chudek J, Cifkova R, Cilia M, Cinteza E, Claessens F, Clarke J, Clays E, Cohen E, Concin H, Confortin SC, Cooper C, Coppinger TC, Corpeleijn E, Costanzo S, Cottel D, Cowell C, Craig CL, Crampin AC, Crujeiras AB, Csilla S, Cucu AM, Cui L, Cureau FV, D'Arrigo G, d'Orsi E, Dacica L, Dal Re Saavedra MÁ, Dallongeville J, Damasceno A, Damsgaard CT, Danaei G, Dankner R, Dantoft TM, Dasgupta P, Dastgiri S, Dauchet L, Davletov K, De Backer G, De Bacquer D, de Gaetano G, De Henauw S, de Oliveira PD, De Ridder D, De Ridder K, de Rooij SR, De Smedt D, Deepa M, Deev AD, DeGennaro VJ, Dehghan A, Delisle H, Delpeuch F, Demarest S, Dennison E, Deren K, Deschamps V, Dhana K, Dhimal M, Di Castelnuovo AF, Dias-da-Costa JS, Díaz-Sánchez ME, Diaz A, Dika Z, Djalalinia S, Djordjic V, Do HTP, Dobson AJ, Donati MB, Donfrancesco C, Donoso SP, Döring A, Dorobantu M, Dorosty AR, Doua K, Drygas W, Duan JL, Duante CA, Duboz P, Duda RB, Duleva V, Dulskiene V, Dumith SC, Dushpanova A, Dzerve V, Dziankowska-Zaborszczyk E, Eddie R, Eftekhar E, Egbagbe EE, Eggertsen R, Eghtesad S, Eiben G, Ekelund U, El-Khateeb M, El Ati J, Eldemire-Shearer D, Eliasen M, Elliott P, Engle-Stone R, Enguerran M, Erasmus RT, Erbel R, Erem C, Eriksen L, Eriksson JG, Escobedo-de la Peña J, Eslami S, Esmaeili A, Evans A, Faeh D, Fakhretdinova AA, Fall CH, Faramarzi E, Farjam M, Farrugia Sant'Angelo V, Farzadfar F, Fattahi MR, Fawwad A, Felix-Redondo FJ, Ferguson TS, Fernandes RA, Fernández-Bergés D, Ferrante D, Ferrao T, Ferrari M, Ferrario MM, Ferreccio C, Ferrer E, Ferrieres J, Figueiró TH, Fijalkowska A, Fink G, Fischer K, Föger B, Foo LH, Forsner M, Fouad HM, Francis DK, Franco MDC, Franco OH, Frikke-Schmidt R, Frontera G, Fuchs FD, Fuchs SC, Fujiati II, Fujita Y, Fumihiko M, Furusawa T, Gaciong Z, Gafencu M, Galbarczyk A, Galenkamp H, Galeone D, Galfo M, Galvano F, Gao J, Garcia-de-la-Hera M, García-Solano M, Gareta D, Garnett SP, Gaspoz JM, Gasull M, Gaya ACA, Gaya AR, Gazzinelli A, Gehring U, Geiger H, Geleijnse JM, Ghanbari A, Ghasemi E, Gheorghe-Fronea OF, Giampaoli S, Gianfagna F, Gill TK, Giovannelli J, Gironella G, Giwercman A, Gkiouras K, Godos J, Gogen S, Goldsmith RA, Goltzman D, Gómez SF, Gomula A, Goncalves Cordeiro da Silva B, Gonçalves H, Gonzalez-Chica DA, Gonzalez-Gross M, González-Leon M, González-Rivas JP, González-Villalpando C, González-Villalpando ME, Gonzalez AR, Gottrand F, Graça AP, Graff-Iversen S, Grafnetter D, Grajda A, Grammatikopoulou MG, Gregor RD, Grodzicki T, Grøholt EK, Grøntved A, Grosso G, Gruden G, Gu D, Gualdi-Russo E, Guallar-Castillón P, Gualtieri A, Gudmundsson EF, Gudnason V, Guerrero R, Guessous I, Guimaraes AL, Gulliford MC, Gunnlaugsdottir J, Gunter MJ, Guo XH, Guo Y, Gupta PC, Gupta R, Gureje O, Gurzkowska B, Gutiérrez-González E, Gutierrez L, Gutzwiller F, Ha S, Hadaegh F, Hadjigeorgiou CA, Haghshenas R, Hakimi H, Halkjær J, Hambleton IR, Hamzeh B, Hange D, Hanif AAM, Hantunen S, Hari Kumar R, Hashemi-Shahri SM, Hassapidou M, Hata J, Haugsgjerd T, Hayes AJ, He J, He Y, He Y, Heidinger-Felso R, Heinen M, Hejgaard T, Hendriks ME, Henrique RDS, Henriques A, Hernandez Cadena L, Herrala S, Herrera VM, Herter-Aeberli I, Heshmat R, Hill AG, Ho SY, Ho SC, Hobbs M, Hofman A, Holden Bergh I, Holdsworth M, Homayounfar R, Homs C, Hopman WM, Horimoto ARVR, Hormiga CM, Horta BL, Houti L, Howitt C, Htay TT, Htet AS, Htike MMT, Hu Y, Huerta JM, Huhtaniemi IT, Huidumac Petrescu C, Husseini A, Huu CN, Huybrechts I, Hwalla N, Hyska J, Iacoviello L, Ibarluzea JM, Ibrahim MM, Ibrahim Wong N, Ikeda N, Ikram MA, Iotova V, Irazola VE, Ishida T, Islam M, Islam SMS, Iwasaki M, Jackson RT, Jacobs JM, Jaddou HY, Jafar T, James K, Jamil KM, Jamrozik K, Janszky I, Janus E, Jarani J, Jarvelin MR, Jasienska G, Jelakovic A, Jelakovic B, Jennings G, Jha AK, Jiang CQ, Jimenez RO, Jöckel KH, Joffres M, Johansson M, Jokelainen JJ, Jonas JB, Jørgensen T, Joshi P, Joukar F, Jovic DP, Józwiak JJ, Juolevi A, Jurak G, Jurca Simina I, Juresa V, Kaaks R, Kaducu FO, Kafatos A, Kajantie EO, Kalmatayeva Z, Kalter-Leibovici O, Kameli Y, Kanala KR, Kannan S, Kapantais E, Karki KB, Katibeh M, Katz J, Katzmarzyk PT, Kauhanen J, Kaur P, Kavousi M, Kazakbaeva GM, Keil U, Keinan Boker L, Keinänen-Kiukaanniemi S, Kelishadi R, Kelleher C, Kemper HCG, Kengne AP, Keramati M, Kerimkulova A, Kersting M, Key T, Khader YS, Khalili D, Khang YH, Khaw KT, Kheiri B, Kheradmand M, Khosravi A, Khouw IMSL, Kiechl-Kohlendorfer U, Kiechl S, Killewo J, Kim DW, Kim HC, Kim J, Kindblom JM, Klakk H, Klimek M, Klimont J, Klumbiene J, Knoflach M, Koirala B, Kolle E, Kolsteren P, König J, Korpelainen R, Korrovits P, Korzycka M, Kos J, Koskinen S, Kouda K, Kovacs VA, Kowlessur S, Koziel S, Kratzer W, Kriemler S, Kristensen PL, Krokstad S, Kromhout D, Krtalic B, Kruger HS, Kubinova R, Kuciene R, Kujala UM, Kujundzic E, Kulaga Z, Kumar RK, Kunešová M, Kurjata P, Kusuma YS, Kuulasmaa K, Kyobutungi C, La QN, Laamiri FZ, Laatikainen T, Lachat C, Laid Y, Lam TH, Lambrinou CP, Landais E, Lanska V, Lappas G, Larijani B, Latt TS, Lauria L, Laxmaiah A, Lazo-Porras M, Le Nguyen Bao K, Le Port A, Le TD, Lee J, Lee J, Lee PH, Lehmann N, Lehtimäki T, Lemogoum D, Levitt NS, Li Y, Liivak M, Lilly CL, Lim WY, Lima-Costa MF, Lin HH, Lin X, Lin YT, Lind L, Linneberg A, Lissner L, 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X, Yiallouros PK, Yoosefi M, Yoshihara A, You QS, You SL, Younger-Coleman NO, Yusof SM, Yusoff AF, Zaccagni L, Zafiropulos V, Zainuddin AA, Zakavi SR, Zamani F, Zambon S, Zampelas A, Zamrazilová H, Zapata ME, Zargar AH, Zaw KK, Zdrojewski T, Zeljkovic Vrkic T, Zeng Y, Zhang L, Zhang ZY, Zhao D, Zhao MH, Zhao W, Zhen S, Zheng W, Zheng Y, Zholdin B, Zhou M, Zhu D, Zocalo Y, Zuñiga Cisneros J, Zuziak M, Ezzati M. Height and body-mass index trajectories of school-aged children and adolescents from 1985 to 2019 in 200 countries and territories: a pooled analysis of 2181 population-based studies with 65 million participants. Lancet 2020; 396:1511-1524. [PMID: 33160572 PMCID: PMC7658740 DOI: 10.1016/s0140-6736(20)31859-6] [Citation(s) in RCA: 171] [Impact Index Per Article: 42.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2020] [Revised: 08/03/2020] [Accepted: 08/19/2020] [Indexed: 02/08/2023]
Abstract
BACKGROUND Comparable global data on health and nutrition of school-aged children and adolescents are scarce. We aimed to estimate age trajectories and time trends in mean height and mean body-mass index (BMI), which measures weight gain beyond what is expected from height gain, for school-aged children and adolescents. METHODS For this pooled analysis, we used a database of cardiometabolic risk factors collated by the Non-Communicable Disease Risk Factor Collaboration. We applied a Bayesian hierarchical model to estimate trends from 1985 to 2019 in mean height and mean BMI in 1-year age groups for ages 5-19 years. The model allowed for non-linear changes over time in mean height and mean BMI and for non-linear changes with age of children and adolescents, including periods of rapid growth during adolescence. FINDINGS We pooled data from 2181 population-based studies, with measurements of height and weight in 65 million participants in 200 countries and territories. In 2019, we estimated a difference of 20 cm or higher in mean height of 19-year-old adolescents between countries with the tallest populations (the Netherlands, Montenegro, Estonia, and Bosnia and Herzegovina for boys; and the Netherlands, Montenegro, Denmark, and Iceland for girls) and those with the shortest populations (Timor-Leste, Laos, Solomon Islands, and Papua New Guinea for boys; and Guatemala, Bangladesh, Nepal, and Timor-Leste for girls). In the same year, the difference between the highest mean BMI (in Pacific island countries, Kuwait, Bahrain, The Bahamas, Chile, the USA, and New Zealand for both boys and girls and in South Africa for girls) and lowest mean BMI (in India, Bangladesh, Timor-Leste, Ethiopia, and Chad for boys and girls; and in Japan and Romania for girls) was approximately 9-10 kg/m2. In some countries, children aged 5 years started with healthier height or BMI than the global median and, in some cases, as healthy as the best performing countries, but they became progressively less healthy compared with their comparators as they grew older by not growing as tall (eg, boys in Austria and Barbados, and girls in Belgium and Puerto Rico) or gaining too much weight for their height (eg, girls and boys in Kuwait, Bahrain, Fiji, Jamaica, and Mexico; and girls in South Africa and New Zealand). In other countries, growing children overtook the height of their comparators (eg, Latvia, Czech Republic, Morocco, and Iran) or curbed their weight gain (eg, Italy, France, and Croatia) in late childhood and adolescence. When changes in both height and BMI were considered, girls in South Korea, Vietnam, Saudi Arabia, Turkey, and some central Asian countries (eg, Armenia and Azerbaijan), and boys in central and western Europe (eg, Portugal, Denmark, Poland, and Montenegro) had the healthiest changes in anthropometric status over the past 3·5 decades because, compared with children and adolescents in other countries, they had a much larger gain in height than they did in BMI. The unhealthiest changes-gaining too little height, too much weight for their height compared with children in other countries, or both-occurred in many countries in sub-Saharan Africa, New Zealand, and the USA for boys and girls; in Malaysia and some Pacific island nations for boys; and in Mexico for girls. INTERPRETATION The height and BMI trajectories over age and time of school-aged children and adolescents are highly variable across countries, which indicates heterogeneous nutritional quality and lifelong health advantages and risks. FUNDING Wellcome Trust, AstraZeneca Young Health Programme, EU.
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