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Rimbach R, Yamada Y, Sagayama H, Ainslie PN, Anderson LF, Anderson LJ, Arab L, Baddou I, Bedu-Addo K, Blaak EE, Blanc S, Bonomi AG, Bouten CVC, Bovet P, Buchowski MS, Butte NF, Camps SGJA, Close GL, Cooper JA, Das SK, Dugas LR, Ekelund U, Entringer S, Forrester T, Fudge BW, Goris AH, Gurven M, Hambly C, El Hamdouchi A, Hoos MB, Hu S, Joonas N, Joosen AM, Katzmarzyk P, Kempen KP, Kimura M, Kraus WE, Kushner RF, Lambert EV, Leonard WR, Lessan N, Martin CK, Medin AC, Meijer EP, Morehen JC, Morton JP, Neuhouser ML, Nicklas TA, Ojiambo RM, Pietiläinen KH, Pitsiladis YP, Plange-Rhule J, Plasqui G, Prentice RL, Rabinovich RA, Racette SB, Raichlen DA, Ravussin E, Reynolds RM, Roberts SB, Schuit AJ, Sjödin AM, Stice E, Urlacher SS, Valenti G, Van Etten LM, Van Mil EA, Wells JCK, Wilson G, Wood BM, Yanovski J, Yoshida T, Zhang X, Murphy-Alford AJ, Loechl CU, Luke AH, Rood J, Schoeller DA, Westerterp KR, Wong WW, Speakman JR, Pontzer H. Total energy expenditure is repeatable in adults but not associated with short-term changes in body composition. Nat Commun 2022; 13:99. [PMID: 35013190 PMCID: PMC8748652 DOI: 10.1038/s41467-021-27246-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Accepted: 11/04/2021] [Indexed: 11/08/2022] Open
Abstract
Low total energy expenditure (TEE, MJ/d) has been a hypothesized risk factor for weight gain, but repeatability of TEE, a critical variable in longitudinal studies of energy balance, is understudied. We examine repeated doubly labeled water (DLW) measurements of TEE in 348 adults and 47 children from the IAEA DLW Database (mean ± SD time interval: 1.9 ± 2.9 y) to assess repeatability of TEE, and to examine if TEE adjusted for age, sex, fat-free mass, and fat mass is associated with changes in weight or body composition. Here, we report that repeatability of TEE is high for adults, but not children. Bivariate Bayesian mixed models show no among or within-individual correlation between body composition (fat mass or percentage) and unadjusted TEE in adults. For adults aged 20-60 y (N = 267; time interval: 7.4 ± 12.2 weeks), increases in adjusted TEE are associated with weight gain but not with changes in body composition; results are similar for subjects with intervals >4 weeks (N = 53; 29.1 ± 12.8 weeks). This suggests low TEE is not a risk factor for, and high TEE is not protective against, weight or body fat gain over the time intervals tested.
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Affiliation(s)
- Rebecca Rimbach
- Evolutionary Anthropology, Duke University, Durham, NC, USA.
- School of Animal, Plant & Environmental Sciences, University of the Witwatersrand, Johannesburg, South Africa.
| | - Yosuke Yamada
- National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, Japan.
- Institute for Active Health, Kyoto University of Advanced Science, Kyoto, Japan.
| | - Hiroyuki Sagayama
- Faculty of Health and Sport Sciences, University of Tsukuba, Ibaraki, Japan.
| | - Philip N Ainslie
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, UK
| | - Lene F Anderson
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, 0317, Oslo, Norway
| | - Liam J Anderson
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, UK
- Crewe Alexandra Football Club, Crewe, UK
| | - Lenore Arab
- David Geffen School of Medicine, University of California, Los Angeles, USA
| | - Issaad Baddou
- Unité Mixte de Recherche en Nutrition et Alimentation, CNESTEN- Université Ibn Tofail URAC39, Regional Designated Center of Nutrition Associated with AFRA/IAEA, Rabat, Morocco
| | - Kweku Bedu-Addo
- Department of Physiology, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | | | - Stephane Blanc
- Nutritional Sciences, University of Wisconsin, Madison, WI, USA
- Institut Pluridisciplinaire Hubert Curien, CNRS Université de Strasbourg, Strasbourg, UMR7178, France
| | | | - Carlijn V C Bouten
- Department of Biomedical Engineering and Institute for Complex Molecular Systems Eindhoven Unversity of Technology, Eindhoven, The Netherlands
| | - Pascal Bovet
- Institute of Social and Preventive Medicine, Lausanne University Hospital, Lausanne, Switzerland
| | - Maciej S Buchowski
- Division of Gastroenterology, Hepatology and Nutrition, Department of Medicine, Vanderbilt University, Nashville, Tennessee, USA
| | - Nancy F Butte
- Department of Pediatrics, Baylor College of Medicine, USDA/ARS Children's Nutrition Research Center, Houston, Texas, USA
| | | | - Graeme L Close
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, UK
| | - Jamie A Cooper
- Nutritional Sciences, University of Wisconsin, Madison, WI, USA
| | - Sai Krupa Das
- Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, 711 Washington St, Boston, MA, 02111, USA
| | - Lara R Dugas
- Department of Public Health Sciences, Parkinson School of Health Sciences and Public Health, Loyola University, Maywood, IL, USA
| | - Ulf Ekelund
- Department of Sport Medicine, Norwegian School of Sport Sciences, Oslo, Norway
| | - Sonja Entringer
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health (BIH), Institute of Medical Psychology, Berlin, Germany
- University of California Irvine, Irvine, California, USA
| | - Terrence Forrester
- Solutions for Developing Countries, University of the West Indies, Mona, Kingston, Jamaica
| | | | | | - Michael Gurven
- Department of Anthropology, University of California Santa Barbara, Santa Barbara, CA, USA
| | - Catherine Hambly
- Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, UK
| | - Asmaa El Hamdouchi
- Unité Mixte de Recherche en Nutrition et Alimentation, CNESTEN- Université Ibn Tofail URAC39, Regional Designated Center of Nutrition Associated with AFRA/IAEA, Rabat, Morocco
| | | | - Sumei Hu
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Noorjehan Joonas
- Central Health Laboratory, Ministry of Health and Wellness, Port Louis, Mauritius
| | | | - Peter Katzmarzyk
- Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
| | | | - Misaka Kimura
- National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, Japan
| | - William E Kraus
- Department of Medicine, Duke University, Durham, North Carolina, USA
| | | | - Estelle V Lambert
- Research Unit for Exercise Science and Sports Medicine, University of Cape Town, Cape Town, South Africa
| | - William R Leonard
- Department of Anthropology, Northwestern University, Evanston, IL, USA
| | - Nader Lessan
- Imperial College London Diabetes Centre, Imperial College London, London, UK
| | - Corby K Martin
- Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
| | - Anine C Medin
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, 0317, Oslo, Norway
- Department of Nutrition and Public Health, Faculty of Health and Sport Sciences, University of Agder, 4630, Kristiansand, Norway
| | | | - James C Morehen
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, UK
- The FA Group, Burton-Upon-Trent, Staffordshire, UK
| | - James P Morton
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, UK
| | - Marian L Neuhouser
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center and School of Public Health, University of Washington, Seattle, WA, USA
| | - Theresa A Nicklas
- Department of Pediatrics, Baylor College of Medicine, USDA/ARS Children's Nutrition Research Center, Houston, Texas, USA
| | - Robert M Ojiambo
- Moi University, Eldoret, Kenya
- University of Global Health Equity, Kigali, Rwanda
| | | | | | - Jacob Plange-Rhule
- Department of Physiology, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Guy Plasqui
- Department of Nutrition and Movement Sciences, Maastricht University, Maastricht, The Netherlands
| | - Ross L Prentice
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center and School of Public Health, University of Washington, Seattle, WA, USA
| | | | - Susan B Racette
- Program in Physical Therapy and Department of Medicine, Washington University School of Medicine, St. Louis, Missouri, USA
| | - David A Raichlen
- Biological Sciences and Anthropology, University of Southern California, California, USA
| | - Eric Ravussin
- Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
| | - Rebecca M Reynolds
- Centre for Cardiovascular Sciences, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - Susan B Roberts
- Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, 711 Washington St, Boston, MA, 02111, USA
| | | | - Anders M Sjödin
- Department of Nutrition, Exercise and Sports, Copenhagen University, Copenhagen, Denmark
| | | | | | | | | | - Edgar A Van Mil
- Maastricht University, Maastricht and Lifestyle Medicine Center for Children, Jeroen Bosch Hospital's-Hertogenbosch, 's-Hertogenbosch, The Netherlands
| | - Jonathan C K Wells
- Population, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, London, UK
| | - George Wilson
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, UK
| | - Brian M Wood
- University of California Los Angeles, Los Angeles, USA
- Max Planck Institute for Evolutionary Anthropology, Department of Human Behavior, Ecology, and Culture, Leipzig, Germany
| | - Jack Yanovski
- Growth and Obesity, Division of Intramural Research, NIH, Bethesda, MD, USA
| | - Tsukasa Yoshida
- Faculty of Health and Sport Sciences, University of Tsukuba, Ibaraki, Japan
| | - Xueying Zhang
- Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, UK
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Alexia J Murphy-Alford
- Nutritional and Health Related Environmental Studies Section, Division of Human Health, International Atomic Energy Agency, Vienna, Austria
| | - Cornelia U Loechl
- Nutritional and Health Related Environmental Studies Section, Division of Human Health, International Atomic Energy Agency, Vienna, Austria
| | - Amy H Luke
- Division of Epidemiology, Department of Public Health Sciences, Loyola University School of Medicine, Maywood, Illinois, USA.
| | - Jennifer Rood
- Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA.
| | - Dale A Schoeller
- Biotech Center and Nutritional Sciences University of Wisconsin, Madison, Wisconsin, USA.
| | - Klaas R Westerterp
- School of Nutrition and Translational Research in Metabolism, University of Maastricht, Maastricht, The Netherlands.
| | - William W Wong
- Department of Pediatrics, Baylor College of Medicine, USDA/ARS Children's Nutrition Research Center, Houston, Texas, USA.
| | - John R Speakman
- Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, UK.
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China.
- Center for Energy Metabolism and Reproduction, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
- CAS Center of Excellence in Animal Evolution and Genetics, Kunming, China.
| | - Herman Pontzer
- Evolutionary Anthropology, Duke University, Durham, NC, USA.
- Duke Global Health Institute, Duke University, Durham, NC, USA.
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Hollstein T, Basolo A, Ando T, Krakoff J, Piaggi P. Reduced adaptive thermogenesis during acute protein-imbalanced overfeeding is a metabolic hallmark of the human thrifty phenotype. Am J Clin Nutr 2021; 114:1396-1407. [PMID: 34225360 PMCID: PMC8488870 DOI: 10.1093/ajcn/nqab209] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Accepted: 06/03/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND The human thrifty phenotype is characterized by a greater decrease in 24-h energy expenditure (24EE) during fasting due to relatively higher eucaloric 24EE in sedentary conditions, both of which are indicative of greater propensity to weight gain. Thriftiness is also associated with a smaller increase in 24EE (i.e., reduced adaptive thermogenesis) during overfeeding. OBJECTIVES We investigated whether short-term measures of adaptive thermogenesis during overfeeding with low/normal/high protein content characterize thriftiness. METHODS In this secondary cross-sectional analysis of a single-arm crossover study, 24EE was measured using whole-room indirect calorimetry during energy balance, fasting, and different overfeeding conditions (low/3% protein, high/30% protein, and 3 normal/20% protein diets) with 200% of eucaloric requirements in 77 healthy individuals [63 men; BMI (in kg/m2): 26.4 ± 4.3; body fat by DXA: 27.7% ± 9.4%, mean ± SD] with normal glucose regulation. Relations between the 24EE during energy balance (adjusted for body composition) and 24EE during each overfeeding diet were analyzed using separate linear regression models. Participants were arbitrarily categorized as thrifty/spendthrift based on the median value (-177 kcal/d) of the difference in 24EE between fasting and energy balance conditions. RESULTS Differences in 24EE during low/high-protein overfeeding diets (regression line slope = 0.76 and 0.68, respectively, both P < 0.05 compared with slope = 1) but not during the normal-protein overfeeding diets (all P > 0.05 compared with slope = 1) were dependent on baseline 24EE during energy balance. Specifically, individuals with higher eucaloric 24EE (thriftier phenotype) showed smaller increases in 24EE during protein-imbalanced overfeeding. Analyzed by group, thrifty individuals had smaller increases in 24EE by 42 and 237 kcal/d during low- and high-protein overfeeding, respectively, compared with spendthrift individuals who showed greater increases in 24EE by 100 and 302 kcal/d (P ≤ 0.03 compared with thrifty group). CONCLUSIONS During acute overfeeding conditions with low/high-protein content, thrifty participants have limited capacity to increase 24EE, indicating that impaired adaptive thermogenesis during protein-imbalanced diets further characterizes the thrifty phenotype and its susceptibility to weight gain. This trial was registered at clinicalTrials.gov as NCT00523627.
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Affiliation(s)
- Tim Hollstein
- Obesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ, USA,Division of Endocrinology, Diabetology and Clinical Nutrition, Department of Internal Medicine 1, University of Kiel, Kiel, Germany,Institute of Diabetes and Clinical Metabolic Research, Kiel, Germany
| | - Alessio Basolo
- Obesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ, USA
| | - Takafumi Ando
- Obesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ, USA,Human Behavior Research Team, Human-Centered Mobility Research Center, Information Technology and Human Factors, National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan
| | - Jonathan Krakoff
- Obesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ, USA
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García-Hermoso A, Ramírez-Vélez R, García-Alonso Y, Alonso-Martínez AM, Izquierdo M. Association of Cardiorespiratory Fitness Levels During Youth With Health Risk Later in Life: A Systematic Review and Meta-analysis. JAMA Pediatr 2020; 174:952-960. [PMID: 32870243 PMCID: PMC7489376 DOI: 10.1001/jamapediatrics.2020.2400] [Citation(s) in RCA: 97] [Impact Index Per Article: 24.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
IMPORTANCE Although the associations between cardiorespiratory fitness (CRF) and health in adults are well understood, to date, no systematic review has quantitatively examined the association between CRF during youth and health parameters later in life. OBJECTIVES To examine the prospective association between CRF in childhood and adolescence and future health status and to assess whether changes in CRF are associated with future health status at least 1 year later. DATA SOURCES For this systematic review and meta-analysis, MEDLINE, Embase, and SPORTDiscus electronic databases were searched for relevant articles published from database inception to January 30, 2020. STUDY SELECTION The following inclusion criteria were used: CRF measured using a validated test and assessed at baseline and/or its change from baseline to the end of follow-up, healthy population with a mean age of 3 to 18 years at baseline, and prospective cohort design with a follow-up period of at least 1 year. DATA EXTRACTION AND SYNTHESIS Data were processed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Random-effects models were used to estimate the pooled effect size. MAIN OUTCOMES AND MEASURES Anthropometric and adiposity measurements and cardiometabolic health parameters. RESULTS Fifty-five studies were included with a total of 37 563 youths (46% female). Weak-moderate associations were found between CRF at baseline and body mass index (r = -0.11; 95% CI, -0.18 to -0.04; I2 = 59.03), waist circumference (r = -0.29; 95% CI, -0.42 to -0.14; I2 = 69.42), skinfold thickness (r = -0.34; 95% CI, -0.41 to -0.26; I2 = 83.87), obesity (r = -0.15; 95% CI, -0.23 to -0.06; I2 = 86.75), total cholesterol level (r = -0.12; 95% CI, -0.19 to -0.05; I2 = 75.81), high-density lipoprotein cholesterol (HDL-C) level (r = 0.11; 95% CI, 0.05-0.18; I2 = 69.06), total cholesterol to HDL-C ratio (r = -0.19; 95% CI, -0.26 to -0.13; I2 = 67.07), triglyceride levels (r = -0.10; 95% CI, -0.18 to -0.02; I2 = 73.43), homeostasis model assessment for insulin resistance (r = -0.12; 95% CI, -0.18 to -0.06; I2 = 68.26), fasting insulin level (r = -0.07; 95% CI, -0.11 to -0.03; I2 = 0), and cardiometabolic risk (r = -0.18; 95% CI, -0.29 to -0.07; I2 = 90.61) at follow-up. Meta-regression analyses found that early associations in waist circumference (β = 0.014; 95% CI, 0.002-0.026), skinfold thickness (β = 0.006; 95% CI, 0.002-0.011), HDL-C level (β = -0.006; 95% CI, -0.011 to -0.001), triglyceride levels (β = 0.009; 95% CI, 0.004-0.014), and cardiometabolic risk (β = 0.007; 95% CI, 0.003-0.011) from baseline to follow-up dissipated over time. Weak-moderate associations were found between change in CRF and body mass index (r = -0.17; 95% CI, -0.24 to -0.11; I2 = 39.65), skinfold thickness (r = -0.36; 95% CI, -0.58 to -0.09; I2 = 96.84), obesity (r = -0.21; 95% CI, -0.35 to -0.06; I2 = 91.08), HDL-C level (r = 0.05; 95% CI, 0.02-0.08; I2 = 0), low-density lipoprotein cholesterol level (r = -0.06; 95% CI, -0.11 to -0.01; I2 = 58.94), and cardiometabolic risk (r = -0.08; 95% CI, -0.15 to -0.02; I2 = 69.53) later in life. CONCLUSIONS AND RELEVANCE This study suggests that early intervention and prevention strategies that target youth CRF may be associated with maintaining health parameters in later life.
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Affiliation(s)
- Antonio García-Hermoso
- Navarrabiomed, Complejo Hospitalario de Navarra, Universidad Pública de Navarra, Navarra Institute for Health Research (IdiSNA), Pamplona, Spain,Laboratorio de Ciencias de la Actividad Física, el Deporte y la Salud, Facultad de Ciencias Médicas, Universidad de Santiago de Chile, Santiago, Chile
| | - Robinson Ramírez-Vélez
- Navarrabiomed, Complejo Hospitalario de Navarra, Universidad Pública de Navarra, Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Yesenia García-Alonso
- Navarrabiomed, Complejo Hospitalario de Navarra, Universidad Pública de Navarra, Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Alicia M. Alonso-Martínez
- Navarrabiomed, Complejo Hospitalario de Navarra, Universidad Pública de Navarra, Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Mikel Izquierdo
- Navarrabiomed, Complejo Hospitalario de Navarra, Universidad Pública de Navarra, Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
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Péronnet F, Haman F. Low capacity to oxidize fat and body weight. Obes Rev 2019; 20:1367-1383. [PMID: 31353786 DOI: 10.1111/obr.12910] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2018] [Revised: 06/09/2019] [Accepted: 06/10/2019] [Indexed: 12/16/2022]
Abstract
For a given positive energy balance, a low capacity to oxidize fat could contribute to weight gain (low fat oxidation hypothesis). This hypothesis is based on the arguments that for a given stable diet and food quotient (FQ), the respiratory quotient (RQ) is higher in obesity prone (OP) than in obesity resistant individuals (OR) and that a high RQ predicts higher future weight gain. A review of 42 studies shows that there is no convincing experimental support to these arguments and thus for the low fat oxidation hypothesis. A power analysis also shows that this hypothesis might be impossible to experimentally confirm because very large numbers of subjects would be needed to reject the null hypotheses that the 24-h RQ is not different in OP and OR or that future weight gain is not different in individuals with a low and high 24-h RQ at baseline. A re-examination of the significance of the 24-hour and fasting RQ also shows that the assumption underlying the low fat oxidation hypothesis that a high RQ reflects a low capacity to oxidize fat is not valid: For a stable diet, the 24-h RQ entirely depends on FQ and energy balance, and the fasting RQ mainly depends on the FQ and energy balance and on the size of glycogen stores.
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Affiliation(s)
- François Péronnet
- École de kinésiologie et des sciences de l'activité physique, Faculté de Médecine, Université de Montréal, Montréal, QC, Canada
| | - François Haman
- École des sciences de l'activité physique, Faculté des sciences de la santé, Université d'Ottawa, Ottawa, ON, Canada
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Abstract
One of the fundamental challenges in obesity research is to identify subjects prone to weight gain so that obesity and its comorbidities can be promptly prevented or treated. The principles of thermodynamics as applied to human body energetics demonstrate that susceptibility to weight gain varies among individuals as a result of interindividual differences in energy expenditure and energy intake, two factors that counterbalance one another and determine daily energy balance and, ultimately, body weight change. This review focuses on the variability among individuals in human metabolism that determines weight change. Conflicting results have been reported about the role of interindividual differences in energy metabolism during energy balance in relation to future weight change. However, recent studies have shown that metabolic responses to acute, short-term dietary interventions that create energy imbalance, such as low-protein overfeeding or fasting for 24 hours, may reveal the underlying metabolic phenotype that determines the degree of resistance to diet-induced weight loss or the propensity to spontaneous weight gain over time. Metabolically "thrifty" individuals, characterized by a predilection for saving energy in settings of undernutrition and dietary protein restriction, display a minimal increase in plasma fibroblast growth factor 21 concentrations in response to a low-protein overfeeding diet and tend to gain more weight over time compared with metabolically "spendthrift" individuals. Similarly, interindividual variability in the causal relationship between energy expenditure and energy intake ("energy sensing") and in the metabolic response to cold exposure (e.g., brown adipose tissue activation) seems, to some extent, to be indicative of individual propensity to weight gain. Thus, an increased understanding and the clinical characterization of phenotypic differences in energy metabolism among individuals (metabolic profile) may lead to new strategies to prevent weight gain or improve weight-loss interventions by targeted therapies on the basis of metabolic phenotype and susceptibility to obesity in individual persons.
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Affiliation(s)
- Paolo Piaggi
- National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, Arizona, USA
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6
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Mintjens S, Menting MD, Daams JG, van Poppel MNM, Roseboom TJ, Gemke RJBJ. Cardiorespiratory Fitness in Childhood and Adolescence Affects Future Cardiovascular Risk Factors: A Systematic Review of Longitudinal Studies. Sports Med 2019; 48:2577-2605. [PMID: 30144022 PMCID: PMC6182463 DOI: 10.1007/s40279-018-0974-5] [Citation(s) in RCA: 177] [Impact Index Per Article: 35.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
BACKGROUND Although cardiorespiratory fitness (CRF) in childhood and adolescence may be linked to future cardiovascular health, there is currently limited evidence for a longitudinal association. OBJECTIVES To provide a systematic review on the prospective association between CRF in childhood and adolescence and cardiovascular disease (CVD) risk factors at least 2 years later. METHODS Using a systematic search of Medline, Embase, and SPORTDiscus, relevant articles were identified by the following criteria: generally healthy children and adolescents between 3 and 18 years of age with CRF assessed at baseline, and a follow-up period of ≥ 2 years. The outcome measures were CVD risk factors. We appraised quality of the included articles with STROBE and QUIPS checklists. RESULTS After screening 7524 titles and abstracts, we included 38 articles, assessing 44,169 children and adolescents followed up for a median of 6 years. Eleven articles were of high quality. There was considerable heterogeneity in methodology, measurement of CRF, and outcomes, which hampered meta-analysis. In approximately half of the included articles higher CRF in childhood and adolescence was associated with lower body mass index (BMI), waist circumference, body fatness and lower prevalence of metabolic syndrome in later life. No associations between CRF in childhood and adolescence and future waist-to-hip ratio, blood pressure, lipid profile, and glucose homeostasis were observed. CONCLUSION Although about half of the included articles reported inverse associations between CRF in childhood and adolescence and future BMI, body fatness, and metabolic syndrome, evidence for other CVD risk factors was unconvincing. Many articles did not account for important confounding factors such as adiposity. Recommendations for future research include standardizing the measurement of CRF, i.e. by reporting VO2max, using standardized outcome assessments, and performing individual patient data meta-analyses.
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Affiliation(s)
- Stijn Mintjens
- Department of Pediatrics, Emma Children's Hospital, Amsterdam Reproduction and Development, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1118, Room KTC 4-021, 1081 HZ, Amsterdam, The Netherlands. .,Department of Gynecology and Obstetrics, Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Amsterdam Reproduction and Development, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Meibergdreef 5, 1105 AZ, Amsterdam, The Netherlands.
| | - Malou D Menting
- Department of Gynecology and Obstetrics, Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Amsterdam Reproduction and Development, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Meibergdreef 5, 1105 AZ, Amsterdam, The Netherlands
| | - Joost G Daams
- Medical Library AMC, Amsterdam UMC, University of Amsterdam, Meibergdreef 5, 1105 AZ, Amsterdam, The Netherlands
| | - Mireille N M van Poppel
- Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, Van der Boechorststraat 7, 1081 BT, Amsterdam, The Netherlands.,Institute of Sport Science, University of Graz, Mozartgasse 14, 8010, Graz, Austria
| | - Tessa J Roseboom
- Department of Gynecology and Obstetrics, Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Amsterdam Reproduction and Development, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Meibergdreef 5, 1105 AZ, Amsterdam, The Netherlands
| | - Reinoud J B J Gemke
- Department of Pediatrics, Emma Children's Hospital, Amsterdam Reproduction and Development, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1118, Room KTC 4-021, 1081 HZ, Amsterdam, The Netherlands
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7
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Mintjens S, Menting MD, Daams JG, van Poppel MNM, Roseboom TJ, Gemke RJBJ. Reply to Tarp et al.: Comment on: "Cardiorespiratory Fitness in Childhood and Adolescence Affects Future Cardiovascular Risk Factors: A Systematic Review of Longitudinal Studies". Sports Med 2018; 49:163-165. [PMID: 30593651 DOI: 10.1007/s40279-018-01042-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Affiliation(s)
- Stijn Mintjens
- Department of Pediatrics, Emma Children's Hospital, Amsterdam Reproduction and Development, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands. .,Department of Gynecology and Obstetrics, Amsterdam Reproduction and Development, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands. .,Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Amsterdam Reproduction and Development, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
| | - Malou D Menting
- Department of Gynecology and Obstetrics, Amsterdam Reproduction and Development, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.,Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Amsterdam Reproduction and Development, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Joost G Daams
- Medical Library AMC, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Mireille N M van Poppel
- Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.,Institute of Sport Science, University of Graz, Graz, Austria
| | - Tessa J Roseboom
- Department of Gynecology and Obstetrics, Amsterdam Reproduction and Development, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.,Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Amsterdam Reproduction and Development, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Reinoud J B J Gemke
- Department of Pediatrics, Emma Children's Hospital, Amsterdam Reproduction and Development, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
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8
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Lam YY, Ravussin E. Indirect calorimetry: an indispensable tool to understand and predict obesity. Eur J Clin Nutr 2016; 71:318-322. [DOI: 10.1038/ejcn.2016.220] [Citation(s) in RCA: 64] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2016] [Accepted: 10/10/2016] [Indexed: 11/09/2022]
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9
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Collings PJ, Wijndaele K, Corder K, Westgate K, Ridgway CL, Sharp SJ, Atkin AJ, Stephen AM, Bamber D, Goodyer I, Brage S, Ekelund U. Objectively measured physical activity and longitudinal changes in adolescent body fatness: an observational cohort study. Pediatr Obes 2016; 11:107-14. [PMID: 25919340 PMCID: PMC4780592 DOI: 10.1111/ijpo.12031] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2014] [Accepted: 02/17/2015] [Indexed: 11/28/2022]
Abstract
BACKGROUND The data regarding prospective associations between physical activity (PA) and adiposity in youth are inconsistent. OBJECTIVE The objective of this study was to investigate associations between baseline levels of objectively measured PA and changes in adiposity over 2.5 years from mid-to-late adolescence. METHODS This was an observational cohort study in 728 school students (43% boys) from Cambridgeshire, United Kingdom. Fat mass index (FMI, kg m(-2) ) was estimated at baseline (mean ± standard deviation age: 15 ± 0.3 years) and follow-up (17.5 ± 0.3 years) by anthropometry and bioelectrical impedance. Habitual PA was assessed at baseline by ≥3 d combined heart rate and movement sensing. Average daily PA energy expenditure (PAEE) and the time (min d(-1) ) spent in light, moderate and vigorous intensity PA (LPA, MPA and VPA, respectively) was estimated. Multilevel models were used to investigate associations between baseline PA and change in FMI (ΔFMI). Adjustment for baseline age, sex, follow-up duration, area-level socioeconomic status, season of PA assessment, sedentary time, energy intake and sleep duration was made; baseline FMI was also added in a second model. RESULTS FMI increased significantly over follow-up (0.6 ± 1.2 kg m(-2) , P < 0.001). Baseline PAEE and LPA positively predicted ΔFMI in overfat participants (P ≤ 0.030), as did VPA in initially normal fat participants (P ≤ 0.044). There were further positive associations between PAEE and ΔFMI in normal fat participants, and between MPA and ΔFMI in both fat groups, when adjusted for baseline FMI (P ≤ 0.024). CONCLUSIONS Baseline PAEE and its subcomponents were positively associated with small and unlikely clinically relevant increases in ΔFMI. These counter-intuitive findings may be explained by behavioural changes during the course of study follow-up.
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Affiliation(s)
- P. J. Collings
- MRC Epidemiology UnitUniversity of Cambridge School of Clinical MedicineCambridgeUK
| | - K. Wijndaele
- MRC Epidemiology UnitUniversity of Cambridge School of Clinical MedicineCambridgeUK
| | - K. Corder
- MRC Epidemiology UnitUniversity of Cambridge School of Clinical MedicineCambridgeUK
| | - K. Westgate
- MRC Epidemiology UnitUniversity of Cambridge School of Clinical MedicineCambridgeUK
| | - C. L. Ridgway
- MRC Epidemiology UnitUniversity of Cambridge School of Clinical MedicineCambridgeUK
| | - S. J. Sharp
- MRC Epidemiology UnitUniversity of Cambridge School of Clinical MedicineCambridgeUK
| | - A. J. Atkin
- UKCRC Centre for Diet and Activity Research (CEDAR)MRC Epidemiology UnitUniversity of Cambridge School of Clinical MedicineCambridgeUK
| | - A. M. Stephen
- MRC Human Nutrition ResearchUniversity of CambridgeCambridgeUK
| | - D. Bamber
- Developmental Lifecourse Research GroupDepartment of PsychiatryUniversity of CambridgeCambridgeUK
| | - I. Goodyer
- Developmental Lifecourse Research GroupDepartment of PsychiatryUniversity of CambridgeCambridgeUK
| | - S. Brage
- MRC Epidemiology UnitUniversity of Cambridge School of Clinical MedicineCambridgeUK
| | - U. Ekelund
- MRC Epidemiology UnitUniversity of Cambridge School of Clinical MedicineCambridgeUK,Department of Sport MedicineNorwegian School of Sports ScienceOsloNorway
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10
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The effects of short-term overfeeding on energy expenditure and nutrient oxidation in obesity-prone and obesity-resistant individuals. Int J Obes (Lond) 2012; 37:1192-7. [PMID: 23229737 PMCID: PMC3770765 DOI: 10.1038/ijo.2012.202] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2012] [Revised: 10/29/2012] [Accepted: 11/09/2012] [Indexed: 02/08/2023]
Abstract
Objective The roles that energy expenditure (EE) and nutrient oxidation play in a predisposition for weight gain in humans remains unclear. Subjects We measured EE and respiratory exchange ratio (RER) in non-obese obesity prone (OP; n=22) and obesity resistant (OR; n=30) men and women following a eucaloric diet and after 3 days of overfeeding (1.4x basal energy). Results Twenty four hour EE, adjusted for fat free mass and sex, measured while consuming a eucaloric diet was not different between OP and OR subjects (2367 ± 80 vs. 2285 ± 98 kcals; p=0.53). Following overfeeding, EE increased in both OP and OR (OP: 2506 ± 63.7, p<0.01; OR: 2386 ± 99 kcals, p<0.05). Overfeeding resulted in an increase in 24h RER (OP: 0.857 ± 0.01 to 0.893 ± 0.01, p=0.01; OR: 0.852 ± 0.01 to 0.886 ± 0.01, p=0.005), with no difference between groups in either the eucaloric or overfeeding conditions (p>0.05). Nighttime RER (~10pm-6:30am) did not change with overfeeding in OR (0.823 ± 0.02 vs. 0.837 ± 0.01, p=0.29), but increased significantly in OP subjects (0.798 ± 0.15 to 0.839 ± 0.15, p<0.05), suggesting that fat oxidation during the night was down-regulated to a greater extent in OP subjects following a brief period of overfeeding, as compared to OR subjects who appeared to maintain their usual rate of fat oxidation. Protein oxidation increased significantly in both OP (p<0.001) and OR (p<0.01) with overfeeding, with no differences between OP and OR. Conclusion These results support the idea that overfeeding a mixed diet results in increases in EE and RER, but these increases in EE and RER are likely not responsible for obesity resistance. Adaptive responses to overfeeding that occur during the night may play a role in opposing weight gain.
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11
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de Ruyter JC, Olthof MR, Seidell JC, Katan MB. A trial of sugar-free or sugar-sweetened beverages and body weight in children. N Engl J Med 2012; 367:1397-406. [PMID: 22998340 DOI: 10.1056/nejmoa1203034] [Citation(s) in RCA: 524] [Impact Index Per Article: 43.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
BACKGROUND The consumption of beverages that contain sugar is associated with overweight, possibly because liquid sugars do not lead to a sense of satiety, so the consumption of other foods is not reduced. However, data are lacking to show that the replacement of sugar-containing beverages with noncaloric beverages diminishes weight gain. METHODS We conducted an 18-month trial involving 641 primarily normal-weight children from 4 years 10 months to 11 years 11 months of age. Participants were randomly assigned to receive 250 ml (8 oz) per day of a sugar-free, artificially sweetened beverage (sugar-free group) or a similar sugar-containing beverage that provided 104 kcal (sugar group). Beverages were distributed through schools. At 18 months, 26% of the children had stopped consuming the beverages; the data from children who did not complete the study were imputed. RESULTS The z score for the body-mass index (BMI, the weight in kilograms divided by the square of the height in meters) increased on average by 0.02 SD units in the sugar-free group and by 0.15 SD units in the sugar group; the 95% confidence interval (CI) of the difference was -0.21 to -0.05. Weight increased by 6.35 kg in the sugar-free group as compared with 7.37 kg in the sugar group (95% CI for the difference, -1.54 to -0.48). The skinfold-thickness measurements, waist-to-height ratio, and fat mass also increased significantly less in the sugar-free group. Adverse events were minor. When we combined measurements at 18 months in 136 children who had discontinued the study with those in 477 children who completed the study, the BMI z score increased by 0.06 SD units in the sugar-free group and by 0.12 SD units in the sugar group (P=0.06). CONCLUSIONS Masked replacement of sugar-containing beverages with noncaloric beverages reduced weight gain and fat accumulation in normal-weight children. (Funded by the Netherlands Organization for Health Research and Development and others; DRINK ClinicalTrials.gov number, NCT00893529.).
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Affiliation(s)
- Janne C de Ruyter
- Department of Health Sciences, EMGO Institute for Health and Care Research, VU University Amsterdam, Amsterdam, The Netherlands.
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12
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Eaves AD, Colon A, Dubose KD, Collier D, Houmard JA. Substrate utilization during submaximal exercise in children with a severely obese parent. Nutr Metab (Lond) 2012; 9:38. [PMID: 22571243 PMCID: PMC3422990 DOI: 10.1186/1743-7075-9-38] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2012] [Accepted: 05/09/2012] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND We have reported a reduction in fatty acid oxidation (FAO) at the whole-body level and in skeletal muscle in severely obese (BMI ≥ 40 kg/m2) individuals; this defect is retained in cell culture suggesting an inherent component. The purpose of the current study was to determine if an impairment in whole-body fatty acid oxidation (FAO) was also evident in children with a severely obese parent. METHODS Substrate utilization during submaximal exercise (cycle ergometer) was determined in children ages 8-12 y with a severely obese parent (OP, n = 13) or two lean/non-obese (BMI range of 18 to 28 kg/m2) parents (LP, n = 13). A subgroup of subjects (n = 3/group) performed 4 weeks of exercise training with substrate utilization measured after the intervention. RESULTS The children did not differ in age (LP vs. OP, respectively) (10.7 ± 0.5 vs. 10.2 ± 0.5 y), BMI percentile (65.3 ± 5.2 vs. 75.9 ± 7), Tanner Stage (1.4 ± 0.2 vs. 1.5 ± 0.2), VO2peak (40.3 ± 2.7 vs. 35.6 ± 2.6 ml/kg/min) or physical activity levels (accelerometer). At the same absolute workload of 15 W (~38% VO2peak), RER was significantly (P ≤ 0.05) lower in LP vs. OP (0.83 ± 0.02 vs. 0.87 ± 0.01) which was reflected in a reduced reliance on FAO for energy production in the OP group (58.6 ± 5.1 vs. 43.1 ± 4.0% of energy needs during exercise from FAO). At a higher exercise intensity (~65% VO2peak) there were no differences in substrate utilization between LP and OP. After exercise training RER tended to decrease (P = 0.06) at the 15 W workload, suggesting an increased reliance on FAO regardless of group. CONCLUSIONS These findings suggest that the decrement in FAO with severe obesity has an inherent component that may be overcome with exercise training.
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Affiliation(s)
- Audrey D Eaves
- Department of Kinesiology, College of Health and Human Performance, East Carolina University, Greenville, USA.
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13
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Heidari Z, Hosseinpanah F, Barzin M, Safarkhani M, Azizi F. Mother-Daughter Correlation of Central Obesity and Other Noncommunicable Disease Risk Factors. Asia Pac J Public Health 2012; 27:NP341-9. [DOI: 10.1177/1010539512442953] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
This study aimed to investigate the mother-daughter correlation for central obesity and other noncommunicable disease risk factors. The authors used metabolic and anthropometric data from the Tehran Lipid and Glucose Study, enrolling 1041 mother-daughter pairs for the current study. Three age strata were defined: 3 to 9 years for childhood (146 mother-daughter pairs), 10 to 17 years for adolescence (395 mother-daughter pairs), and 18 to 25 years for early adulthood (500 mother-daughter pairs). Familial associations for central obesity and other noncommunicable disease risk factors were assessed. The prevalence of central obesity was 44.7% in mothers and 11.2% in daughters (6.2% in the 3-9, 19.2% in the 10-17, and 6.4% in the 18-25 years groups). Mothers with central obesity were more likely than nonobese mothers to have daughters with central obesity (10.5% and 1.7%, respectively; P = .0001). Central obesity indices among daughters were positively correlated with those of their mothers in all 3 age strata. Correlations for other noncommunicable disease risk factors were analyzed before and after adjusting the risk factor levels for mothers’ and daughters’ waist circumferences (WCs) within each group to determine whether risk factor correlations were, in part, a result of the central obesity correlations. After the non-communicable disease risk factor levels of participants were adjusted for their WCs, the mother-daughter correlations remained significant. The consistent association of central obesity between mothers and daughters may indicate the key role that could be played by the mother in the primary prevention of central obesity, particularly in high-risk families.
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Affiliation(s)
- Zahra Heidari
- Obesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
- Zahedan University of Medical Sciences, Zahedan, Iran
| | - Farhad Hosseinpanah
- Obesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Maryam Barzin
- Obesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Maryam Safarkhani
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Fereidoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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14
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Laska MN, Murray DM, Lytle LA, Harnack LJ. Longitudinal associations between key dietary behaviors and weight gain over time: transitions through the adolescent years. Obesity (Silver Spring) 2012; 20:118-25. [PMID: 21701567 PMCID: PMC3402912 DOI: 10.1038/oby.2011.179] [Citation(s) in RCA: 88] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Previous studies have yielded inconsistent results when documenting the association between key dietary factors and adolescent weight change over time. The purpose of this study was to examine the extent to which changes in adolescent sugar-sweetened beverage (SSB), diet soda, breakfast, and fast-food consumption were associated with changes in BMI and percent body fat (PBF). This study analyzed data from a sample of 693 Minnesota adolescents followed over 2 years. Random coefficient models were used to examine the relationship between dietary intake and BMI and PBF and to separate cross-sectional and longitudinal associations. Adjusting for total physical activity, total energy intake, puberty, race, socioeconomic status, and age, cross-sectional findings indicated that for both males and females, breakfast consumption was significantly and inversely associated with BMI and PBF, and diet soda intake was significantly and positively associated with BMI and PBF among females. In longitudinal analyses, however, there were fewer significant associations. Among males there was evidence of a significant longitudinal association between SSB consumption and PBF; after adjustment for energy intake, an increase of one serving of SSB per day was associated with an increase of 0.7 units of PBF among males. This study adds to previous research through its methodological strengths, including adjustment for physical activity and energy intake assessed using state-of-the-art methods (i.e., accelerometers and 24-h dietary recalls), as well as its evaluation of both BMI and PBF. Additional research is needed to better understand the complex constellation of factors that contribute to adolescent weight gain over time.
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Affiliation(s)
- Melissa N Laska
- University of Minnesota, School of Public Health, Division of Epidemiology and Community Health, Minneapolis, Minnesota, USA.
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15
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Thompson S, Ekelund U, Jebb S, Lindroos AK, Mander A, Sharp S, Turner R, Wilks D. A proposed method of bias adjustment for meta-analyses of published observational studies. Int J Epidemiol 2011; 40:765-77. [PMID: 21186183 PMCID: PMC3147067 DOI: 10.1093/ije/dyq248] [Citation(s) in RCA: 66] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/24/2010] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE Interpretation of meta-analyses of published observational studies is problematic because of numerous sources of bias. We develop bias assessment, elicitation and adjustment methods, and apply them to a systematic review of longitudinal observational studies of the relationship between objectively measured physical activity and subsequent change in adiposity in children. METHODS We separated internal biases that reflect study quality from external biases that reflect generalizability to a target setting. Since published results were presented in different formats, these were all converted to correlation coefficients. Biases were considered as additive or proportional on the correlation scale. Opinions about the extent of each bias in each study, together with its uncertainty, were elicited in a formal process from quantitatively trained assessors for the internal biases and subject-matter specialists for the external biases. Bias-adjusted results for each study were combined across assessors using median pooling, and results combined across studies by random-effects meta-analysis. RESULTS Before adjusting for bias, the pooled correlation is difficult to interpret because the studies varied substantially in quality and design, and there was considerable heterogeneity. After adjusting for both the internal and external biases, the pooled correlation provides a meaningful quantitative summary of all available evidence, and the confidence interval incorporates the elicited uncertainties about the extent of the biases. In the adjusted meta-analysis, there was no apparent heterogeneity. CONCLUSION This approach provides a viable method of bias adjustment for meta-analyses of observational studies, allowing the quantitative synthesis of evidence from otherwise incompatible studies. From the meta-analysis of longitudinal observational studies, we conclude that there is no evidence that physical activity is associated with gain in body fat.
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16
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Wilks DC, Besson H, Lindroos AK, Ekelund U. Objectively measured physical activity and obesity prevention in children, adolescents and adults: a systematic review of prospective studies. Obes Rev 2011; 12:e119-29. [PMID: 20604868 DOI: 10.1111/j.1467-789x.2010.00775.x] [Citation(s) in RCA: 99] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
This study aimed at synthesizing the prospective associations between measured physical activity (PA) and change in adiposity in children, adolescents and adults following from two previous reviews. Search terms were adapted and a systematic literature search was conducted (January 2000-September 2008) and later updated (up to October 2009), considering observational and intervention studies of weight gain that measured both PA and body composition. Sixteen observational studies (six comprising adults) and five trials (one comprising adults) were eligible. For consistency, whenever possible either baseline PA energy expenditure or accelerometer output (counts min(-1) ) and change in per cent body fat were the extracted exposure and outcome measures. Results of observational studies suggest that PA is not strongly prospectively related with adiposity: five studies on children and three on adults reported no association between baseline PA and change in adiposity, one study found a weak positive association and the other studies observed a weak negative association. Negative associations were more frequently observed in studies that analysed the association between change in the exposure and outcome. Intervention studies show generally no effect on either PA or adiposity. In conclusion, despite the well-established health benefits of PA, it may not be a key determinant of excessive gain in adiposity.
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Affiliation(s)
- D C Wilks
- Medical Research Council Human Nutrition Research, Medical Research Council Epidemiology Unit, Cambridge, UK
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17
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Wilks DC, Sharp SJ, Ekelund U, Thompson SG, Mander AP, Turner RM, Jebb SA, Lindroos AK. Objectively measured physical activity and fat mass in children: a bias-adjusted meta-analysis of prospective studies. PLoS One 2011; 6:e17205. [PMID: 21383837 PMCID: PMC3044163 DOI: 10.1371/journal.pone.0017205] [Citation(s) in RCA: 52] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2010] [Accepted: 01/25/2011] [Indexed: 12/01/2022] Open
Abstract
BACKGROUND Studies investigating the prevention of weight gain differ considerably in design and quality, which impedes pooling them in conventional meta-analyses, the basis for evidence-based policy making. This study is aimed at quantifying the prospective association between measured physical activity and fat mass in children, using a meta-analysis method that allows inclusion of heterogeneous studies by adjusting for differences through eliciting and incorporating expert opinion. METHODS Studies on prevention of weight gain using objectively measured exposure and outcome were eligible; they were adopted from a recently published systematic review. Differences in study quality and design were considered as internal and external biases and captured in checklists. Study results were converted to correlation coefficients and biases were considered either additive or proportional on this scale. The extent and uncertainty of biases in each study were elicited in a formal process by six quantitatively-trained assessors and five subject-matter specialists. Biases for each study were combined across assessors using median pooling. Results were combined across studies by random-effects meta-analysis. RESULTS The combined correlation of the unadjusted results from the six studies was -0.04 (95%CI: -0.22, 0.14) with considerable heterogeneity (I² = 78%), which makes it difficult to interpret the result. After bias-adjustment the pooled correlation was -0.01 (95%CI: -0.18, 0.16) with apparent study compatibility (I² = 0%). CONCLUSION By using this method the prospective association between physical activity and fat mass could be quantitatively synthesized; the result suggests no association. Objectively measured physical activity may not be the key determinant of unhealthy weight gain in children.
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Affiliation(s)
- Desiree C. Wilks
- Medical Research Council Collaborative Centre for Human Nutrition Research, Cambridge, United Kingdom
- Department of Prevention and Sports Medicine, Technische Universität München, Germany
| | - Stephen J. Sharp
- Medical Research Council Epidemiology Unit, Cambridge, United Kingdom
| | - Ulf Ekelund
- Medical Research Council Epidemiology Unit, Cambridge, United Kingdom
| | - Simon G. Thompson
- Medical Research Council Biostatistics Unit, Cambridge, United Kingdom
| | - Adrian P. Mander
- Medical Research Council Biostatistics Unit, Cambridge, United Kingdom
| | - Rebecca M. Turner
- Medical Research Council Biostatistics Unit, Cambridge, United Kingdom
| | - Susan A. Jebb
- Medical Research Council Collaborative Centre for Human Nutrition Research, Cambridge, United Kingdom
| | - Anna Karin Lindroos
- Medical Research Council Collaborative Centre for Human Nutrition Research, Cambridge, United Kingdom
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Winkler S, Picó C, Ahrens W. [Physiological mechanisms in the development of adiposity]. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 2010; 53:681-9. [PMID: 20652482 DOI: 10.1007/s00103-010-1089-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
The phenomenon of the so-called "obesity pandemic" having arisen over the last decades has to be, in large part, attributed to changes of lifestyle and the associated changes in dietary habits and physical activity observed world-wide. The resulting interference in energy homeostasis plays a central role in the development of obesity in a large proportion of the population worldwide. In this article, current knowledge about central biological mechanisms of energy intake, energy storage, and energy expenditure is summarized. This includes, for example, the feeling of hunger/satiety, lipid turnover with the two components of lipolysis and lipogenesis, adipogenesis, as well as energy-consuming processes like (adaptive) thermogenesis, resting metabolic rate, and physical activity energy expenditure. Based on examples, the possible influence of genetic polymorphisms contributing to the development of adiposity are illustrated.
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Affiliation(s)
- S Winkler
- Bremer Institut für Präventionsforschung und Sozialmedizin, Universität Bremen, Linzer Str. 10, 28359, Bremen, Deutschland.
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The relationship of cardiorespiratory fitness, birth weight and parental BMI on adolescents’ obesity status. Eur J Clin Nutr 2010; 64:622-7. [DOI: 10.1038/ejcn.2010.53] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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20
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Garipagaoglu M, Budak N, Süt N, Akdikmen O, Oner N, Bundak R. Obesity risk factors in Turkish children. J Pediatr Nurs 2009; 24:332-7. [PMID: 19632511 DOI: 10.1016/j.pedn.2008.04.003] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2007] [Revised: 04/10/2008] [Accepted: 04/13/2008] [Indexed: 12/12/2022]
Abstract
On the basis of the knowledge that the prevalence of obesity in children has increased steadily in recent years, this study aimed to assess the association between obesity and certain risk factors in a group of 6- to 14-year-old children living in Istanbul. The study was carried out at the Istanbul University School of Medicine Hospital. Data were collected from 592 children aged between 6 and 14 years who were examined in general pediatrics clinics. Weight and height measurements were performed on the children and their parents. The children were classified as obese and nonobese in accordance with the body mass index reference values for Turkish children. Energy intake of children was estimated with a 3-day food consumption recording form. A structured questionnaire was used to collect the information from the parents on possible risk factors causing obesity. The physical activity state of the children was assessed. A logistic regression model was developed to examine the relationships between obesity and possible risk factors. Almost 32% (n = 184) and 69% (n = 408) of children were assessed as obese and nonobese, respectively. Although there was no difference in daily energy intakes of obese and nonobese children, 13.6% of obese and 40.9% of nonobese children were reported to do physical activity regularly. Obesity was strongly associated with parental obesity. Furthermore, energy intake; having regular physical activity; presence of obesity in the mother, the father, and the mother's family; and having a mother working out of home were also significantly associated with obesity. Creating awareness in mothers on the importance of a healthy nutrition and encouraging families to participate in physical activities are important points in the prevention of childhood obesity.
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Affiliation(s)
- Muazzez Garipagaoglu
- Department of Pediatrics, Faculty of Medicine, Istanbul University, Istanbul, Turkey.
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Davis MM, Gance-Cleveland B, Hassink S, Johnson R, Paradis G, Resnicow K. Recommendations for prevention of childhood obesity. Pediatrics 2007; 120 Suppl 4:S229-53. [PMID: 18055653 DOI: 10.1542/peds.2007-2329e] [Citation(s) in RCA: 282] [Impact Index Per Article: 16.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
The majority of US youth are of healthy weight, but the majority of US adults are overweight or obese. Therefore, a major health challenge for most American children and adolescents is obesity prevention-today, and as they age into adulthood. In this report, we review the most recent evidence regarding many behavioral and practice interventions related to childhood obesity, and we present recommendations to health care providers. Because of the importance, we also suggest approaches that clinicians can use to encourage obesity prevention among children, including specific counseling strategies and practice-based, systems-level interventions. In addition, we suggest how clinicians may interact with and promote local and state policy initiatives designed to prevent obesity in their communities.
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Affiliation(s)
- Matthew M Davis
- Child Health Evaluation and Research Unit, Division of General Pediatrics, Gerald R. Ford School of Public Policy, Arizona State University, Phoenix, Arizona, USA.
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Butte NF, Cai G, Cole SA, Wilson TA, Fisher JO, Zakeri IF, Ellis KJ, Comuzzie AG. Metabolic and behavioral predictors of weight gain in Hispanic children: the Viva la Familia Study. Am J Clin Nutr 2007; 85:1478-85. [PMID: 17556682 DOI: 10.1093/ajcn/85.6.1478] [Citation(s) in RCA: 112] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Despite the high prevalence of overweight among Hispanic children in the United States, definitive predictors of weight gain have not been identified in this population. OBJECTIVE The study objective was to test sociodemographic, metabolic, and behavioral predictors of 1-y weight gains in a large cohort of Hispanic children studied longitudinally. DESIGN Subjects (n = 879) were siblings from 319 Hispanic families enrolled in the Viva la Familia Study. Families were required to have at least one overweight child aged 4-19 y. One-year changes in weight and body composition by dual-energy X-ray absorptiometry were measured. Data were from parental interviews, birth certificates, multiple-pass 24-h dietary recalls, 3-d accelerometry, 24-h respiration calorimetry, measurements of eating in the absence of hunger, and measurement of fasting blood biochemistry indexes by radioimmunoassay. Generalized estimating equations and principal component analysis were applied. RESULTS Weight gain increased with age (P = 0.001), peaking at approximately 10 y of age in girls and approximately 11 y of age in boys. Mean (+/-SD) weight gain was significantly higher in overweight (7.5 +/- 3.7 kg/y) than in nonoverweight (4.4 +/- 2.4 kg/y) children and in boys than in girls. When adjusted for age, age squared, sex, and Tanner stage, the final model indicated a child's body mass index (BMI; kg/m2) status, maternal BMI, energy expenditure (total energy expenditure, basal metabolic rate, and sleeping metabolic rate), and fasting blood biochemistry indexes (total triiodothyronine, insulin, leptin, and ghrelin) as independent, positive predictors of weight gain (P = 0.01-0.001). CONCLUSION Knowledge of the metabolic and behavioral predictors of weight gain in Hispanic children will inform prevention and treatment efforts to address this serious public health problem in the United States.
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Affiliation(s)
- Nancy F Butte
- US Department of Agriculture, Agricultural Research Service Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX 77030, USA.
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Jago R, Zakeri I, Baranowski T, Watson K. Decision boundaries and receiver operating characteristic curves: New methods for determining accelerometer cutpoints. J Sports Sci 2007; 25:937-44. [PMID: 17474047 DOI: 10.1080/02640410600908027] [Citation(s) in RCA: 50] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
We propose and evaluate the utility of an alternative method (decision boundaries) for establishing physical activity intensity-related accelerometer cutpoints. Accelerometer data collected from seventy-six 11- to 14-year-old boys during controlled bouts of moderate- and vigorous-intensity field physical activities were assessed. Mean values and standard deviations for moderate- and vigorous-intensity activities were obtained and normal equivalents generated. The decision boundary (the point of intersection of overlapping distributions) was used to create a lower-bound vigorous-intensity cutpoint. Receiver operating characteristic (ROC) curves compared the sensitivity and specificity of the new cutpoint and mean values with the actual activity. There was a 96.5% probability that participants performing vigorous-intensity physical activity were accurately classified when using the decision boundary of 6700 counts per minute, in contrast to the 50% accurately classified when the mean value was used. Inspection of the empirical ROC curve indicated that the decision boundary provided the optimal threshold to distinguish between moderate and vigorous physical activity for this dataset. In conclusion, decision boundaries reduced the error associated with determining accelerometer threshold values. Applying these methods to accelerometer data collected in specific populations will improve the precision with which accelerometer thresholds can be identified.
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Affiliation(s)
- Russell Jago
- Department of Exercise, Nutrition and Health Sciences, Centre for Exercise and Sport, University of Bristol, Bristol, UK.
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Francis LA, Ventura AK, Marini M, Birch LL. Parent overweight predicts daughters' increase in BMI and disinhibited overeating from 5 to 13 years. Obesity (Silver Spring) 2007; 15:1544-53. [PMID: 17557992 PMCID: PMC2562317 DOI: 10.1038/oby.2007.183] [Citation(s) in RCA: 84] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
OBJECTIVE To assess whether parental overweight status and disinhibited overeating are predictive of daughters' accelerated weight gain and disinhibited overeating. RESEARCH METHODS AND PROCEDURES Participants were part of a longitudinal study of girls (N = 197) and their parents. Measured height and weight were used to calculate BMI [weight (kilograms)/height (meters)(2)]. Parents' disinhibited eating behavior was assessed using the Eating Inventory. Girls' disinhibited eating was assessed using a behavioral protocol to measure eating in the absence of hunger. Girls were classified based on parental overweight at study entry into four groups: neither, mother only, father only, or both parents overweight. RESULTS Girls with both parents overweight had the most rapid increases in BMI from 5 to 13 years of age; BMI increased most slowly among the neither parent overweight group, with intermediate increases in BMI among mother only and father only overweight groups. Daughters with both parents overweight at study entry were eight times more likely to be overweight at age 13, controlling for daughters' weight at age 5. Girls with both parents overweight had higher levels of disinhibited eating across all ages than all other groups. Although girls in all parental weight status groups showed increases in disinhibited eating over time, girls with both parents overweight had larger increases in disinhibited eating over time compared with all other groups. DISCUSSION Girls growing up in families differing in parental overweight had divergent developmental trajectories for BMI and disinhibited overeating. Findings reveal the need to focus prevention efforts on overweight parents of young children.
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Affiliation(s)
- Lori A Francis
- Department of Biobehavioral Health, 315 East Health and Human Development Building, The Pennsylvania State University, University Park, PA 16802, USA.
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Leibowitz KL, Chang GQ, Pamy PS, Hill JO, Gayles EC, Leibowitz SF. Weight gain model in prepubertal rats: prediction and phenotyping of obesity-prone animals at normal body weight. Int J Obes (Lond) 2007; 31:1210-21. [PMID: 17471301 DOI: 10.1038/sj.ijo.0803634] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
OBJECTIVE Male Sprague-Dawley rats maintained from birth on a high-fat diet were examined to determine whether a specific measure before puberty can identify and allow one to characterize prepubertal rats at normal weight with high vs low risk for adult obesity. MATERIALS AND METHODS Measures from weaning (day 21) to around puberty (day 45) were taken of weight gain, absolute body weight and daily energy intake on a high-fat diet and related to the amount of body fat accumulated at maturity (80-100 days of age). Rats identified by a specific prepubertal measure as obesity-prone (OP) vs obesity-resistant (OR) were then characterized before and after puberty. RESULTS Prepubertal weight gain from days 30 to 35 of age was the strongest and earliest positive correlate of ultimate body fat accrual in adult rats. The highest (8-10 g/day) compared to lowest (5-7 g/day) weight-gain scores identified accurately and reproducibly distinct OP and OR subgroups at day 35 that became obese or remained lean, respectively, as adults. The OP rats with rapid prepubertal weight gain and 50% greater adiposity at maturity (day 100) exhibited the expected phenotype of already-obese rats. These included elevated levels of leptin, insulin, triglycerides and glucose, increased galanin (GAL) peptide levels in the paraventricular nucleus (PVN) and reduced neuropeptide Y (NPY) levels in the arcuate nucleus (ARC). Before puberty (day 35), the OP rats with normal fat pad weights, energy intake and endocrine profile similar to OR rats exhibited these disturbances characteristic of obese rats. They had decreased capacity for fat oxidation in muscle, increased GAL expression in PVN and reduced expression of NPY and agouti-related protein in ARC. CONCLUSION Prepubertal weight gain can identify OP rats on day 35 when they have minimal body fat but exhibit specific metabolic and neurochemical disturbances expected to promote obesity and characteristics of already-obese adult rats.
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Affiliation(s)
- K L Leibowitz
- The Children's Hospital of Philadelphia, Philadelphia, PA, USA.
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Rennie KL, Wells JC, McCaffrey TA, E. Livingstone MB. Symposium on ‘Nutrition and health in children and adolescents’ Session 4: Obesity prevention in children and adolescents The effect of physical activity on body fatness in children and adolescents. Proc Nutr Soc 2007. [DOI: 10.1079/pns2006515] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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Wareham NJ, van Sluijs EMF, Ekelund U. Physical activity and obesity prevention: a review of the current evidence. Proc Nutr Soc 2007; 64:229-47. [PMID: 15960868 DOI: 10.1079/pns2005423] [Citation(s) in RCA: 255] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Ecological data on temporal trends suggest that the rising prevalence of obesity is, at least in part, attributable to declining population energy expenditure. However, population-level data on trends in physical activity are scarce. In longitudinal cohort studies individuals who report higher levels of leisure-time physical activity tend to be less likely to gain weight, but studies vary in their conclusions because of issues of confounding, reverse causality and measurement error. The majority of studies suggest that low levels of activity are only weakly associated with future weight gain. Questions about dose–response can only be properly addressed by studies including objective measures of activity with known measurement error. The observational studies leave uncertainties about the direction of causality, as individuals who are overweight are less likely to stay active. Adjustment for confounding can diminish the impact of known confounders, but only randomisation can deal with issues of unmeasured confounding. Although there are a large number of clinical trials on the treatment of individuals with obesity or the prevention of weight regain among weight losers, the updated review of trials to prevent weight gain de novo only reveals six trials published since 2000 in adults and eleven in children. Not only are these trials relatively few in number but, for various methodological reasons, they are uncertain in their conclusions about whether increasing activity will be effective in preventing obesity. Whilst efforts should continue to enhance the evidence base it is wise, in the meantime, to stick to the consensus public health advice of advocating 45–60 min moderate intensity activity daily to prevent obesity.
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Affiliation(s)
- Nicholas J Wareham
- Medical Research Council Epidemiology Unit, Elsie Widdowson Laboratory, Fulbourn Road, Cambridge CB1 9NL, UK.
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Affiliation(s)
- N Wareham
- MRC Epidemiology Unit, Elsie Widdowson Laboratories, Cambridge, UK.
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Li Y, Zhai F, Yang X, Schouten EG, Hu X, He Y, Luan D, Ma G. Determinants of childhood overweight and obesity in China. Br J Nutr 2007; 97:210-5. [PMID: 17217578 DOI: 10.1017/s0007114507280559] [Citation(s) in RCA: 61] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
In order to investigate the determinants of childhood overweight and obesity in China, the prevalence of overweight (including obesity) was compared according to different dietary and physical activity patterns and parental body weight status. A total of 6826 children aged 7-17 years from the 2002 China National Nutrition and Health Survey were included in the study. Information for dietary intake was collected using three consecutive 24-h recalls by trained interviewers. The amounts of cooking oil and condiments consumed were weighed. An interview-administered 1-year physical activity questionnaire was used to collect physical activity information. The results showed that the heavier the parental bodyweight, the higher the overweight prevalence in children. The prevalence ratio increased if parent(s) were overweight and/or obese, up to 12.2 if both parents were obese. Overweight children consumed significantly more dietary energy, protein and fat, but less carbohydrate than their normal weight counterparts. On average, overweight children spent 0.5 h less on moderate/vigorous activities and 2.3 h more on low intensity activities per week. The following prevalence ratios were statistically significant: walking to and from school (0.6); moderate/vigorous activities > or =45 min/d (0.8); low intensity physical activities >2 h/d (1.3); the consumption of > or =25 g/d cooking oil (1.4); > or =200 g/d meat and meat products consumption (1.5); > or =100g/d dairy products (1.8). After adjustment for parental body weight status and socioeconomic status, only cooking oil consumption and walking to and from school remained significantly related to child overweight. In conclusion, parental weight status is an import-ant determinant. Fat intake, low intensity activities and active transport to/from school may be suitable entry points for overweight prevention among Chinese school children.
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Affiliation(s)
- Y Li
- National Institute for Nutrition and Food Safety, Chinese Center for Disease Control and Prevention, Beijing, China
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Affiliation(s)
- Michael Rosenbaum
- New York Presbyterian Hospital, Columbia University College of Physicians and Surgeons, New York, USA.
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Chen JL, Kennedy C, Yeh CH, Kools S. Risk Factors for Childhood Obesity in Elementary School‐Age Taiwanese Children. ACTA ACUST UNITED AC 2007; 20:96-103. [PMID: 16030409 DOI: 10.1111/j.0889-7204.2005.04456.x] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
A cross-sectional study design was used to examine factors that contribute to high relative weight in children in Taiwan. A total sample of 331 Chinese children (ages 7 and 8) and their parents participated in the study. Parents completed questionnaires regarding demographic information, family functioning, parenting styles, physical activity, and dietary intake. Children completed physical fitness tests and questionnaires regarding physical activity, dietary intake, coping strategies, and self-esteem. The weight-for-length index was used to measure children's relative weight. The findings revealed that four variables contributed to higher weight-for-length index in boys compared with girls and explained 37.7% of the variance: high maternal body mass index, poor aerobic capacity, healthy family role functioning, and poor family affective responsiveness. Two variables were found to contribute to higher weight-for-length index in girls and explained 12.8% of the variance: high household income and high maternal body mass index. Taken together, the results indicate the importance of assessment of children's weight status, maternal weight status, and family functioning as part of routine child health care and the need for developmentally appropriate and gender-specific approaches to prevent childhood obesity.
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Affiliation(s)
- Jyu-Lin Chen
- Department of Family Health Care Nursing, University of California, San Francisco, San Francisco, CA 94143, USA.
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Yeung EH, Pankow JS, Astor BC, Powe NR, Saudek CD, Kao WHL. Increased risk of type 2 diabetes from a family history of coronary heart disease and type 2 diabetes. Diabetes Care 2007; 30:154-6. [PMID: 17192352 DOI: 10.2337/dc06-1463] [Citation(s) in RCA: 16] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Affiliation(s)
- Edwina H Yeung
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA.
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Ekelund U, Särnblad S, Brage S, Ryberg J, Wareham NJ, Aman J. Does physical activity equally predict gain in fat mass among obese and nonobese young adults? Int J Obes (Lond) 2006; 31:65-71. [PMID: 16652123 DOI: 10.1038/sj.ijo.0803361] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
BACKGROUND Differences in energy metabolism and physical activity (PA) may contribute to the long-term regulation of body weight (BW). OBJECTIVE To examine the associations between metabolic determinants, energy expenditure and objectively measured components of PA with change in BW and fat mass (FM). DESIGN Prospective (4 years.), case-control study in obese (n=13) and normal weight (n=15) young adults. MEASUREMENTS At baseline, we measured resting metabolic rate, substrate oxidation, movement economy (ml O(2) kg(-1) min(-1)), aerobic fitness (VO(2max)), total and PA energy expenditure by doubly labelled water, and PA by accelerometry. Fat mass was measured by DXA. At follow-up we repeated our measurements of PA and FM. RESULTS Fat mass increased significantly (P<0.001) in both groups. Physical activity did not change between baseline and 'follow up'. Change in overall PA (counts per minute) was inversely associated with change in BW and (beta=-0.0124, P=0.054) and FM (beta=-0.008, P=0.04). Post hoc analyses suggested that this association was explained by changes in the normal weight group only (beta=-0.01; P=0.008; and beta=-0.0097; P=0.009, for BW and FM, respectively). Metabolic determinants, energy expenditure estimates and subcomponents of PA (i.e. time spent at different intensity levels) were not significantly associated with change in BW or FM. CONCLUSION Our results suggest an independent association between PA and FM. However, this association may differ depending on obesity status. The gain in FM, without any change in PA, may suggest that dietary intake is the major contributor to the positive energy balance.
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Affiliation(s)
- U Ekelund
- Medical Research Council Epidemiology Unit, Cambridge, UK.
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Abstract
OBJECTIVE To examine the effects of overweight and normal-weight mothers' restriction in child feeding on daughters' eating in the absence of hunger (EAH) and body mass index (BMI) change from age 5 to age 9 y. DESIGN Longitudinal study of the health and development of young girls. SUBJECTS A total of 91 overweight and 80 normal-weight mothers and their daughters, assessed when daughters were ages 5, 7, and 9 y. MEASUREMENTS Measures included maternal restriction of daughters' intake at age 5 y, and daughters' EAH and BMI change from age 5 to 9 y. RESULTS There were no overall differences in the level of restriction that overweight and normal-weight mothers used. However, overweight mothers' restrictive feeding practices when daughters were age 5 y predicted daughters' EAH over time, and higher EAH scores were associated with greater BMI change from age 5 to 9 y. These relationships did not hold for daughters of normal-weight mothers. CONCLUSION More adverse effects of restriction on daughters' EAH, and links between EAH and BMI change were only noted among daughters of overweight mothers. These findings highlight the need for a better understanding of factors that contribute to within-group variation in eating behavior and weight status.
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Affiliation(s)
- L A Francis
- Department of Human Development and Family Studies, The Pennsylvania State University, PA 16802, USA.
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Rennie KL, Livingstone MBE, Wells JCK, McGloin A, Coward WA, Prentice AM, Jebb SA. Association of physical activity with body-composition indexes in children aged 6–8 y at varied risk of obesity. Am J Clin Nutr 2005. [DOI: 10.1093/ajcn/82.1.13] [Citation(s) in RCA: 46] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
- Kirsten L Rennie
- From the Medical Research Council Human Nutrition Research, Cambridge, United Kingdom (KLR, WAC, and SAJ); the Northern Ireland Centre for Diet and Health, University of Ulster, Coleraine, United Kingdom (MBEL, AM, and KLR); the Medical Research Council Childhood Nutrition Research Centre, Institute of Child Health, London, United Kingdom (JCKW); and the Medical Research Council International Nut
| | - M Barbara E Livingstone
- From the Medical Research Council Human Nutrition Research, Cambridge, United Kingdom (KLR, WAC, and SAJ); the Northern Ireland Centre for Diet and Health, University of Ulster, Coleraine, United Kingdom (MBEL, AM, and KLR); the Medical Research Council Childhood Nutrition Research Centre, Institute of Child Health, London, United Kingdom (JCKW); and the Medical Research Council International Nut
| | - Jonathan CK Wells
- From the Medical Research Council Human Nutrition Research, Cambridge, United Kingdom (KLR, WAC, and SAJ); the Northern Ireland Centre for Diet and Health, University of Ulster, Coleraine, United Kingdom (MBEL, AM, and KLR); the Medical Research Council Childhood Nutrition Research Centre, Institute of Child Health, London, United Kingdom (JCKW); and the Medical Research Council International Nut
| | - A McGloin
- From the Medical Research Council Human Nutrition Research, Cambridge, United Kingdom (KLR, WAC, and SAJ); the Northern Ireland Centre for Diet and Health, University of Ulster, Coleraine, United Kingdom (MBEL, AM, and KLR); the Medical Research Council Childhood Nutrition Research Centre, Institute of Child Health, London, United Kingdom (JCKW); and the Medical Research Council International Nut
| | - W Andrew Coward
- From the Medical Research Council Human Nutrition Research, Cambridge, United Kingdom (KLR, WAC, and SAJ); the Northern Ireland Centre for Diet and Health, University of Ulster, Coleraine, United Kingdom (MBEL, AM, and KLR); the Medical Research Council Childhood Nutrition Research Centre, Institute of Child Health, London, United Kingdom (JCKW); and the Medical Research Council International Nut
| | - Andrew M Prentice
- From the Medical Research Council Human Nutrition Research, Cambridge, United Kingdom (KLR, WAC, and SAJ); the Northern Ireland Centre for Diet and Health, University of Ulster, Coleraine, United Kingdom (MBEL, AM, and KLR); the Medical Research Council Childhood Nutrition Research Centre, Institute of Child Health, London, United Kingdom (JCKW); and the Medical Research Council International Nut
| | - Susan A Jebb
- From the Medical Research Council Human Nutrition Research, Cambridge, United Kingdom (KLR, WAC, and SAJ); the Northern Ireland Centre for Diet and Health, University of Ulster, Coleraine, United Kingdom (MBEL, AM, and KLR); the Medical Research Council Childhood Nutrition Research Centre, Institute of Child Health, London, United Kingdom (JCKW); and the Medical Research Council International Nut
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Welsh JA, Cogswell ME, Rogers S, Rockett H, Mei Z, Grummer-Strawn LM. Overweight among low-income preschool children associated with the consumption of sweet drinks: Missouri, 1999-2002. Pediatrics 2005; 115:e223-9. [PMID: 15687430 DOI: 10.1542/peds.2004-1148] [Citation(s) in RCA: 213] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
OBJECTIVE To examine the association between sweet drink consumption and overweight among preschool children. METHODS A retrospective cohort design was used to examine the association between sweet drink consumption and overweight at follow-up among 10904 children who were aged 2 and 3 years and had height, weight, and Harvard Service Food Frequency Questionnaire data collected between January 1999 and December 2001 and height and weight data collected 1 year later. Sweet drinks included vitamin C-containing juices, other juices, fruit drinks, and sodas as listed on the Harvard Service Food Frequency Questionnaire. Logistic regression was used to adjust for age; gender; race/ethnicity; birth weight; and intake of high-fat foods, sweet foods, and total calories. Results were stratified by baseline BMI. RESULTS Among children who were normal or underweight at baseline (BMI <85th percentile), the association between sweet drink consumption and development of overweight was positive but not statistically significant. Children who were at risk for overweight at baseline (BMI 85th-<95th percentile) and consumed 1 to <2 drinks/day, 2 to <3 drinks/day, and > or =3 drinks/day were, respectively, 2.0 (95% confidence interval [CI]: 1.3-3.2), 2.0 (95% CI: 1.2-3.2), and 1.8 (95% CI: 1.1-2.8) times as likely to become overweight as the referent (<1 drink/day). Children who were overweight at baseline (BMI > or =95th percentile) and consumed 1 to <2 drinks/day, 2 to <3 drinks/day, and > or =3 drinks/day were, respectively, 2.1, 2.2, and 1.8 times as likely to remain overweight as the referent. CONCLUSIONS Reducing sweet drink consumption might be 1 strategy to manage the weight of preschool children. Additional studies are needed to understand the mechanism by which such consumption contributes to overweight.
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Affiliation(s)
- Jean A Welsh
- Division of Nutrition and Physical Activity, Centers for Disease Control and Prevention, Mailstop K-25, 4770 Buford Hwy NE, Atlanta, Georgia 30341-3717, USA.
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Treuth MS, Butte NF, Adolph AL, Puyau MR. A longitudinal study of fitness and activity in girls predisposed to obesity. Med Sci Sports Exerc 2004; 36:198-204. [PMID: 14767240 DOI: 10.1249/01.mss.0000113666.98463.b0] [Citation(s) in RCA: 108] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
PURPOSE To determine whether physical activity and fitness change in girls with and without a predisposition to obesity from 8 to 10 yr of age. METHODS Normal-weight girls (N = 91) were recruited at 8 yr of age according to parental body mass index (BMI): LN = girls with two lean (BMI < 25 kg.m-2) parents, LNOB = girls with one obese and one lean parent, and OB = girls with two obese (BMI > 28 kg.m-2) parents. A longitudinal study was undertaken with annual assessments at 8, 9, and 10 yr of age. The primary outcomes were fitness ([OV0312]O2peak) measured by treadmill testing, and physical activity measured by heart rate monitoring and by questionnaire. Sedentary behavior was assessed by questionnaire. RESULTS [OV0312]O2peak (mL.kg-1.min-1) did not change over time; however, [OV0312]O2peak (L.min-1 and mL.kg-1.min-1), time on the treadmill, and treadmill stage were different across groups (P < 0.02). Girls with LNOB parents had a lower absolute [OV0312]O2 than the LN girls by 2.5 mL.kg-1.min-1 (P < 0.05). The OB group had a 3.9 mL.kg-1.min-1 lower [OV0312]O2 than the LN group (P < 0.001). The girls of LN parents also exercised longer on the treadmill (P < 0.05) than girls with OB parents. The percent of the day spent active on the weekday and weekend did not change over time or between groups. Time spent watching TV during the school year and summer was similar over the study period and between groups. CONCLUSION Our data suggest that fitness and physical activity remain fairly constant in girls from 8 to 10 yr of age, but girls of obese parents tend to be less fit.
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Affiliation(s)
- Margarita S Treuth
- Center for Human Nutrition, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, Baltimore, MD 21205, USA.
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