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Siroux J, Pereira B, Fillon A, Moore H, Dionnet C, Julian V, Finlayson GS, Duclos M, Boirie Y, Isacco L, Thivel D. Higher energy flux may improve short-term appetite control in adolescents with obesity: the NEXT study. Br J Nutr 2024; 131:359-368. [PMID: 37587692 DOI: 10.1017/s0007114523001824] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/18/2023]
Abstract
Recent evidence suggests better appetite control in states of high-energy flux (HEF) in adults and lean children. Nevertheless, it is unknown whether this extends to youth with obesity. This study compares the effects of low, moderate or HEF on short-term appetitive control in adolescents with obesity. Sixteen adolescents with obesity (12-16 years, Tanner stages 3-5, 11 females) randomly completed three conditions: (i) low-energy flux (LEF); (ii) moderate energy flux (MEF; + 250 kcal) and (iii) HEF (HEF; + 500 kcal). Energy flux was achieved in MEF and HEF through elevated energy intake (EI) and concomitant increase in energy expenditure using cycling exercise (65 % VO2peak). Ad libitum EI, macronutrient intake and relative EI were assessed at dinner, subjective appetite sensations taken at regular intervals and food reward measured before dinner. Ad libitum EI at dinner was greater in LEF compared with HEF (P = 0·008), and relative EI (REI) was higher in LEF compared with MEF (P = 0·003) and HEF (P < 0·001). The absolute consumption of carbohydrates was lower in LEF compared with MEF (P = 0·047) and HEF (P < 0·001). Total AUC for hunger and desire to eat was lower in HEF compared with LEF (P < 0·001) and MEF (P = 0·038). Total AUC for prospective food consumption was lower on HEF compared with LEF (P = 0·004). Food choice sweet bias was higher in HEF (P = 0·005) compared with LEF. To conclude, increasing energy flux may improve short-term appetite control in adolescents with obesity.
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Affiliation(s)
- Julie Siroux
- Clermont Auvergne University, EA 3533, Laboratory of the Metabolic Adaptations to Exercise under Physiological and Pathological Conditions (AME2P), CRNH Auvergne, Clermont-Ferrand63000, France
- International Research Chair Health in Motion, Clermont Auvergne University Foundation, Clermont-Ferrand, France
| | - Bruno Pereira
- Unit of Biostatistics (DRCI), Clermont-Ferrand University Hospital, Clermont-Ferrand, France
| | - Alicia Fillon
- Clermont Auvergne University, EA 3533, Laboratory of the Metabolic Adaptations to Exercise under Physiological and Pathological Conditions (AME2P), CRNH Auvergne, Clermont-Ferrand63000, France
- International Research Chair Health in Motion, Clermont Auvergne University Foundation, Clermont-Ferrand, France
- Observatoire National de l'Activité Physique et de la Sédentarité (ONAPS), Faculty of Medicine, Clermont Auvergne University, Clermont-Ferrand, France
| | - Halim Moore
- Clermont Auvergne University, EA 3533, Laboratory of the Metabolic Adaptations to Exercise under Physiological and Pathological Conditions (AME2P), CRNH Auvergne, Clermont-Ferrand63000, France
| | - Céline Dionnet
- Clermont Auvergne University, EA 3533, Laboratory of the Metabolic Adaptations to Exercise under Physiological and Pathological Conditions (AME2P), CRNH Auvergne, Clermont-Ferrand63000, France
| | - Valérie Julian
- Department of Sport Medicine and Functional Explorations, University Teaching Hospital of Clermont-Ferrand, Diet and Musculoskeletal Health Team, CRNH, INRA, University of Clermont Auvergne, Clermont-Ferrand, France
| | - Graham S Finlayson
- Appetite Control & Energy Balance Research Group, School of Psychology, Faculty of Medicine & Health, University of Leeds, Leeds, West Yorkshire, UK
| | - Martine Duclos
- International Research Chair Health in Motion, Clermont Auvergne University Foundation, Clermont-Ferrand, France
- Department of Sport Medicine and Functional Explorations, University Teaching Hospital of Clermont-Ferrand, Diet and Musculoskeletal Health Team, CRNH, INRA, University of Clermont Auvergne, Clermont-Ferrand, France
| | - Yves Boirie
- Department of Human Nutrition, Clermont-Ferrand University Hospital, G. Montpied Hospital, Diet and Musculoskeletal Health Team, CRNH, INRA, University of Clermont Auvergne, Clermont-Ferrand, France
| | - Laurie Isacco
- Clermont Auvergne University, EA 3533, Laboratory of the Metabolic Adaptations to Exercise under Physiological and Pathological Conditions (AME2P), CRNH Auvergne, Clermont-Ferrand63000, France
- International Research Chair Health in Motion, Clermont Auvergne University Foundation, Clermont-Ferrand, France
| | - David Thivel
- Clermont Auvergne University, EA 3533, Laboratory of the Metabolic Adaptations to Exercise under Physiological and Pathological Conditions (AME2P), CRNH Auvergne, Clermont-Ferrand63000, France
- International Research Chair Health in Motion, Clermont Auvergne University Foundation, Clermont-Ferrand, France
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Watanabe D, Yoshida T, Watanabe Y, Yamada Y, Miyachi M, Kimura M. Association between doubly labelled water-calibrated energy intake and objectively measured physical activity with mortality risk in older adults. Int J Behav Nutr Phys Act 2023; 20:150. [PMID: 38143274 PMCID: PMC10749503 DOI: 10.1186/s12966-023-01550-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Accepted: 12/14/2023] [Indexed: 12/26/2023] Open
Abstract
BACKGROUND Physical activity or biomarker-calibrated energy intake (EI) alone is associated with mortality in older adults; the interaction relationship between the combined use of both factors and mortality has not been examined. We evaluated the relationship between mortality and calibrated EI and step counts in older adults. METHODS This prospective study included 4,159 adults aged ≥65 years who participated in the Kyoto-Kameoka study in Japan and wore a triaxial accelerometer between 1 April and 15 November 2013. The calibrated EI was calculated based on a previously developed equation using EI biomarkers. The step count was obtained from the accelerometer ≥ 4 days. Participants were classified into the following four groups: low EI (LEI)/low step counts (LSC) group (EI: <2,400 kcal/day in men and <1,900 kcal/day in women; steps: <5,000 /day), n = 1,352; high EI (HEI)/LSC group (EI: ≥2,400 kcal/day in men and ≥1,900 kcal/day in women; steps: <5,000 /day), n = 1,586; LEI/high step counts (HSC) group (EI: <2,400 kcal/day in men and < 1,900 kcal/day in women; steps: ≥5,000 /day), n = 471; and HEI/HSC group (EI: ≥2,400 kcal/day in men and ≥1,900 kcal/day in women; steps: ≥5,000 /day), n = 750. Mortality-related data were collected until 30 November 2016. We performed a multivariable Cox proportional hazard analysis. RESULTS The median follow-up period was 3.38 years (14,046 person-years), and 111 mortalities were recorded. After adjusting for confounders, the HEI/HSC group had the lowest all-cause mortality rate compared to other groups (LEI/LSC: reference; HEI/LSC: hazard ratio [HR]: 0.71, 95% confidence interval [CI]: 0.41-1.23; LEI/HSC: HR: 0.59, 95% CI: 0.29-1.19; and HEI/HSC: HR: 0.10, 95% CI: 0.01-0.76). No significant interaction was observed between the calibrated EI and steps with mortality. The spline model showed that 35-42 kcal/100 steps/day of EI/100 steps was associated with the lowest mortality risk. CONCLUSIONS HR mortality risk was lowest at 35-42 kcal/100 steps/day, suggesting that very high (≥56 kcal) or low (<28 kcal) EI/100 steps are not inversely associated with mortality. Adherence to optimal EI and adequate physical activity may provide sufficient energy balance to explain the inverse association with mortality among older Japanese adults.
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Affiliation(s)
- Daiki Watanabe
- Faculty of Sport Sciences, Waseda University, 2-579-15 Mikajima, Tokorozawa-city, Saitama, 359-1192, Japan.
- National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, 17-34 Senrioka-Shimmachi, Settsu-city, Osaka, 566-0002, Japan.
- Institute for Active Health, Kyoto University of Advanced Science, 1-1 Nanjo Otani, Sogabe-cho, Kameoka-city, Kyoto, 621-8555, Japan.
| | - Tsukasa Yoshida
- National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, 17-34 Senrioka-Shimmachi, Settsu-city, Osaka, 566-0002, Japan
- Institute for Active Health, Kyoto University of Advanced Science, 1-1 Nanjo Otani, Sogabe-cho, Kameoka-city, Kyoto, 621-8555, Japan
- Senior Citizen's Welfare Section, Kameoka City Government, 8 Nonogami, Yasu-machi, Kameoka-city, Kyoto, 621-8501, Japan
| | - Yuya Watanabe
- National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, 17-34 Senrioka-Shimmachi, Settsu-city, Osaka, 566-0002, Japan
- Institute for Active Health, Kyoto University of Advanced Science, 1-1 Nanjo Otani, Sogabe-cho, Kameoka-city, Kyoto, 621-8555, Japan
- Faculty of Sport Study, Biwako Seikei Sport College, 1204 Kitahira, Otsu-city, Shiga, 520-0503, Japan
| | - Yosuke Yamada
- National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, 17-34 Senrioka-Shimmachi, Settsu-city, Osaka, 566-0002, Japan
- Institute for Active Health, Kyoto University of Advanced Science, 1-1 Nanjo Otani, Sogabe-cho, Kameoka-city, Kyoto, 621-8555, Japan
| | - Motohiko Miyachi
- Faculty of Sport Sciences, Waseda University, 2-579-15 Mikajima, Tokorozawa-city, Saitama, 359-1192, Japan
- National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, 17-34 Senrioka-Shimmachi, Settsu-city, Osaka, 566-0002, Japan
| | - Misaka Kimura
- Institute for Active Health, Kyoto University of Advanced Science, 1-1 Nanjo Otani, Sogabe-cho, Kameoka-city, Kyoto, 621-8555, Japan
- Laboratory of Applied Health Sciences, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kamigyo-ku, Kyoto-city, Kyoto, 602-8566, Japan
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Dörner R, Hägele FA, Koop J, Rising R, Foerster T, Olsen T, Hasler M, Müller MJ, Bosy-Westphal A. Validation of energy expenditure and macronutrient oxidation measured by two new whole-room indirect calorimeters. Obesity (Silver Spring) 2022; 30:1796-1805. [PMID: 35927795 DOI: 10.1002/oby.23527] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 05/25/2022] [Accepted: 05/26/2022] [Indexed: 11/10/2022]
Abstract
OBJECTIVE The aim of this study was to validate two new whole-room indirfect calorimeters according to Room Indirect Calorimetry Operating and Reporting Standards (RICORS 1.0). METHODS For technical validation, 16 propane combustion tests were performed to determine accuracy and precision of energy expenditure (EE) and ventilation rates of oxygen (VO2 ), carbon dioxide (VCO2 ), and respiratory exchange ratio (VCO2 /VO2 ). For biological validation, eight participants (mean [SD], age 24.1 [2.5] years; BMI 24.3 [3.1] kg/m2 ) underwent four 24-hour protocols under highly standardized conditions: (1) isocaloric sedentary, (2) fasting sedentary, (3) isocaloric active, and (4) fasting active. Reliability (coefficients of variation [CV]) and minimal detectable changes (MDC) were calculated for 24-hour EE, sleeping metabolic rate (SMR), physical activity energy expenditure (PAEE), thermic effect of food (TEF), and macronutrient oxidation rates. RESULTS Technical validation showed high reliability and recovery rates for VO2 (0.75% and 100.8%, respectively), VCO2 (0.49% and 100.6%), and EE (0.54% and 98.2%). Biological validation revealed CV and MDC for active conditions of 1.4% and 4.3% for 24-hour EE, 1.7% and 5.9% for SMR, and 30.2% and 38.4% for TEF, as well as 5.8% and 10.5% for PAEE, respectively. Mean CV and MDC for macronutrient oxidation rates were 9.9% and 22.9%, respectively. CONCLUSIONS The precision of 24-hour EE and SMR was high, whereas it was lower for PAEE and poor for TEF.
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Affiliation(s)
- Rebecca Dörner
- Institute of Human Nutrition and Food Science, Christian-Albrechts University, Kiel, Germany
| | - Franziska A Hägele
- Institute of Human Nutrition and Food Science, Christian-Albrechts University, Kiel, Germany
| | - Jana Koop
- Institute of Human Nutrition and Food Science, Christian-Albrechts University, Kiel, Germany
| | | | | | - Thomas Olsen
- Department of Nutrition, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Mario Hasler
- Applied Statistic, Agricultural and Food Economics Faculty, Christian-Albrechts University, Kiel, Germany
| | - Manfred J Müller
- Institute of Human Nutrition and Food Science, Christian-Albrechts University, Kiel, Germany
| | - Anja Bosy-Westphal
- Institute of Human Nutrition and Food Science, Christian-Albrechts University, Kiel, Germany
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Morris EM, Noland RD, Allen JA, McCoin CS, Xia Q, Koestler DC, Shook RP, Lighton JR, Christianson JA, Thyfault JP. Difference in Housing Temperature-Induced Energy Expenditure Elicits Sex-Specific Diet-Induced Metabolic Adaptations in Mice. Obesity (Silver Spring) 2020; 28:1922-1931. [PMID: 32857478 PMCID: PMC7511436 DOI: 10.1002/oby.22925] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2019] [Revised: 05/18/2020] [Accepted: 05/20/2020] [Indexed: 12/22/2022]
Abstract
OBJECTIVE The aim of this study was to test whether increased energy expenditure (EE), independent of physical activity, reduces acute diet-induced weight gain through tighter coupling of energy intake to energy demand and enhanced metabolic adaptations. METHODS Indirect calorimetry and quantitative magnetic resonance imaging were used to assess energy metabolism and body composition during 7-day high-fat/high-sucrose (HFHS) feeding in male and female mice housed at divergent temperatures (20°C vs. 30°C). RESULTS As previously observed, 30°C housing resulted in lower total EE and energy intake compared with 20°C mice regardless of sex. Interestingly, housing temperature did not impact HFHS-induced weight gain in females, whereas 30°C male mice gained more weight than 20°C males. Energy intake coupling to EE during HFHS feeding was greater in 20°C versus 30°C housing, with females greater at both temperatures. Fat mass gain was greater in 30°C mice compared with 20°C mice, whereas females gained less fat mass than males. Strikingly, female 20°C mice gained considerably more fat-free mass than 30°C mice. Reduced fat mass gain was associated with greater metabolic flexibility to HFHS, whereas fat-free mass gain was associated with diet-induced adaptive thermogenesis. CONCLUSIONS These data reveal that EE and sex interact to impact energy homeostasis and metabolic adaptation to acute HFHS feeding, altering weight gain and body composition change.
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Affiliation(s)
- E. Matthew Morris
- Dept. of Molecular & Integrative Physiology, University of Kansas Medical Center, Kansas City, Kansas
| | - Roberto D. Noland
- Dept. of Molecular & Integrative Physiology, University of Kansas Medical Center, Kansas City, Kansas
| | - Julie A. Allen
- Dept. of Molecular & Integrative Physiology, University of Kansas Medical Center, Kansas City, Kansas
| | - Colin S. McCoin
- Dept. of Molecular & Integrative Physiology, University of Kansas Medical Center, Kansas City, Kansas
| | - Qing Xia
- Dept. of Biostatistics, University of Kansas Medical Center, Kansas City, Kansas
| | - Devin C. Koestler
- Dept. of Biostatistics, University of Kansas Medical Center, Kansas City, Kansas
| | - Robin P. Shook
- Dept. of Pediatrics, Children’s Mercy Hospital, Kansas City, MO
| | | | - Julie A. Christianson
- Dept. of Anatomy & Cell Biology, University of Kansas Medical Center, Kansas City, Kansas
| | - John P. Thyfault
- Dept. of Molecular & Integrative Physiology, University of Kansas Medical Center, Kansas City, Kansas
- Kansas City VA Medical Center-Research Service, Kansas City, Missouri
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Hollstein T, Basolo A, Ando T, Votruba SB, Walter M, Krakoff J, Piaggi P. Recharacterizing the Metabolic State of Energy Balance in Thrifty and Spendthrift Phenotypes. J Clin Endocrinol Metab 2020; 105:5771299. [PMID: 32118268 PMCID: PMC7341172 DOI: 10.1210/clinem/dgaa098] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2019] [Accepted: 02/26/2020] [Indexed: 01/20/2023]
Abstract
PURPOSE The human thrifty phenotype hypothesis presupposes that lower 24-hour (24h) energy expenditure (24EE) during famine preserves body mass and promotes survival. The prevailing view defines thrifty individuals as having a lower 24EE during fasting. However, it is also plausible that the greater decline in 24EE during fasting in thrifty individuals is due to higher 24EE during energy balance conditions (ENBAL). Herein, we provide evidence that this is indeed the case. METHODS In 108 healthy subjects, 24EE was measured in a whole-room indirect calorimeter both during ENBAL and 24h fasting conditions. Subjects were categorized as thrifty or spendthrift based on the median value (-162 kcal/day) of the difference in 24EE (adjusted for body composition) between fasting and ENBAL conditions. Concomitant 24h urinary catecholamines were assessed by liquid chromatography-mass spectrometry. RESULTS Compared to ENBAL, 24EE decreased during 24h fasting by 172 kcal/day (standard deviation = 93; range, -470 to 122). A greater-than-median decrease in 24EE ("thriftier" phenotype) was due to higher 24EE during ENBAL (+124 kcal/day; P < 0.0001) but not to lower 24EE during fasting (P = 0.35). Greater fasting-induced increase in epinephrine was associated with concomitant lower decrease in 24EE (r = 0.27; P = 0.006). MAIN CONCLUSION The greater decrease in 24EE during acute fasting (which characterizes the thrifty phenotype) is not due to reduced metabolic rate during fasting but to a relatively higher 24EE during feeding conditions, and this decrease in 24EE during fasting is accompanied by a smaller increase in epinephrine. These results recharacterize the prevailing view of the short-term 24EE responses that define the human metabolic phenotypes. Clinical Trials: NCT00523627, NCT00687115, NCT02939404.
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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, Arizona
| | - Alessio Basolo
- Obesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, Arizona
| | - Takafumi Ando
- Obesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, Arizona
| | - Susanne B Votruba
- Obesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, Arizona
| | - Mary Walter
- Clinical Core Laboratory, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, Maryland
| | - Jonathan Krakoff
- Obesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, Arizona
| | - Paolo Piaggi
- Obesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, Arizona
- Department of Information Engineering, University of Pisa, Pisa, Italy
- Correspondence and Reprint Rerquests: Paolo Piaggi, PhD, FTOS, Obesity and Diabetes Clinical Research Section, National Institute of Diabetes and Digestive and Kidney Diseases, 4212 N 16th Street, Phoenix, AZ 85016. E-mail: ,
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