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1. Predictive equation derived from 6,497 doubly labelled water measurements enables the detection of erroneous self-reported energy intake

Author

Bajunaid, Rania, Niu, Chaoqun, Hambly, Catherine, Liu, Zongfang, Yamada, Yosuke, Aleman-Mateo, Heliodoro, Anderson, Liam J., Arab, Lenore, Baddou, Issad, Bandini, Linda, Bedu-Addo, Kweku, Blaak, Ellen E., Bouten, Carlijn V. C., Brage, Soren, Buchowski, Maciej S., Butte, Nancy F., Camps, Stefan G. J. A., Casper, Regina, Close, Graeme L., Cooper, Jamie A., Cooper, Richard, Das, Sai Krupa, Davies, Peter S. W., Dabare, Prasangi, Dugas, Lara R., Eaton, Simon, Ekelund, Ulf, Entringer, Sonja, Forrester, Terrence, Fudge, Barry W., Gillingham, Melanie, Goris, Annelies H., Gurven, Michael, El Hamdouchi, Asmaa, Haisma, Hinke H., Hoffman, Daniel, Hoos, Marije B., Hu, Sumei, Joonas, Noorjehan, Joosen, Annemiek M., Katzmarzyk, Peter, Kimura, Misaka, Kraus, William E., Kriengsinyos, Wantanee, Kuriyan, Rebecca, Kushner, Robert F., Lambert, Estelle V., Lanerolle, Pulani, Larsson, Christel L., Leonard, William R., Lessan, Nader, Löf, Marie, Martin, Corby K., Matsiko, Eric, Medin, Anine C., Morehen, James C., Morton, James P., Must, Aviva, Neuhouser, Marian L., Nicklas, Theresa A., Nyström, Christine D., Ojiambo, Robert M., Pietiläinen, Kirsi H., Pitsiladis, Yannis P., Plange-Rhule, Jacob, Plasqui, Guy, Prentice, Ross L., Racette, Susan B., Raichlen, David A., Ravussin, Eric, Redman, Leanne M., Reilly, John J., Reynolds, Rebecca, Roberts, Susan B., Samaranayakem, Dulani, Sardinha, Luis B., Silva, Analiza M., Sjödin, Anders M., Stamatiou, Marina, Stice, Eric, Urlacher, Samuel S., Van Etten, Ludo M., van Mil, Edgar G. A. H., Wilson, George, Yanovski, Jack A., Yoshida, Tsukasa, Zhang, Xueying, Murphy-Alford, Alexia J., Sinha, Srishti, Loechl, Cornelia U., Luke, Amy H., Pontzer, Herman, Rood, Jennifer, Sagayama, Hiroyuki, Schoeller, Dale A., Westerterp, Klaas R., Wong, William W., and Speakman, John R.

Published
2025
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2. Variation in human water turnover associated with environmental and lifestyle factors

Author

Yamada, Yosuke, Zhang, Xueying, Henderson, Mary ET, Sagayama, Hiroyuki, Pontzer, Herman, Watanabe, Daiki, Yoshida, Tsukasa, Kimura, Misaka, Ainslie, Philip N, Andersen, Lene F, Anderson, Liam J, Arab, Lenore, Baddou, Issad, Bedu-Addo, Kweku, Blaak, Ellen E, Blanc, Stephane, Bonomi, Alberto G, Bouten, Carlijn VC, Bovet, Pascal, Buchowski, Maciej S, Butte, Nancy F, Camps, Stefan G, Close, Graeme L, Cooper, Jamie A, Cooper, Richard, Das, Sai Krupa, Dugas, Lara R, Eaton, Simon, Ekelund, Ulf, Entringer, Sonja, Forrester, Terrence, Fudge, Barry W, Goris, Annelies H, Gurven, Michael, Halsey, Lewis G, Hambly, Catherine, Hamdouchi, Asmaa El, Hoos, Marije B, Hu, Sumei, Joonas, Noorjehan, Joosen, Annemiek M, Katzmarzyk, Peter, Kempen, Kitty P, Kraus, William E, Kriengsinyos, Wantanee, Kushner, Robert F, Lambert, Estelle V, Leonard, William R, Lessan, Nader, Martin, Corby K, Medin, Anine C, Meijer, Erwin P, Morehen, James C, Morton, James P, Neuhouser, Marian L, Nicklas, Theresa A, Ojiambo, Robert M, Pietiläinen, Kirsi H, Pitsiladis, Yannis P, Plange-Rhule, Jacob, Plasqui, Guy, Prentice, Ross L, Rabinovich, Roberto A, Racette, Susan B, Raichlen, David A, Ravussin, Eric, Redman, Leanne M, Reilly, John J, Reynolds, Rebecca M, Roberts, Susan B, Schuit, Albertine J, Sardinha, Luis B, Silva, Analiza M, Sjödin, Anders M, Stice, Eric, Urlacher, Samuel S, Valenti, Giulio, Van Etten, Ludo M, Van Mil, Edgar A, Wells, Jonathan CK, Wilson, George, Wood, Brian M, Yanovski, Jack A, Murphy-Alford, Alexia J, Loechl, Cornelia U, Luke, Amy H, Rood, Jennifer, Westerterp, Klaas R, Wong, William W, Miyachi, Motohiko, Schoeller, Dale A, Speakman, John R, and Consortium§, International Atomic Energy Agency Doubly Labeled Water Database

Subjects
Prevention, Clean Water and Sanitation, Female, Humans, Pregnancy, Exercise, Humidity, Life Style, Social Class, Water, Infant, Newborn, Infant, Child, Preschool, Child, Adolescent, Young Adult, Adult, Middle Aged, Aged, Aged, 80 and over, Drinking, International Atomic Energy Agency (IAEA) Doubly Labeled Water (DLW) Database Consortium§, General Science & Technology
Abstract

Water is essential for survival, but one in three individuals worldwide (2.2 billion people) lacks access to safe drinking water. Water intake requirements largely reflect water turnover (WT), the water used by the body each day. We investigated the determinants of human WT in 5604 people from the ages of 8 days to 96 years from 23 countries using isotope-tracking (2H) methods. Age, body size, and composition were significantly associated with WT, as were physical activity, athletic status, pregnancy, socioeconomic status, and environmental characteristics (latitude, altitude, air temperature, and humidity). People who lived in countries with a low human development index (HDI) had higher WT than people in high-HDI countries. On the basis of this extensive dataset, we provide equations to predict human WT in relation to anthropometric, economic, and environmental factors.

Published
2022

3. Variability in energy expenditure is much greater in males than females

Author

Halsey, Lewis G, Careau, Vincent, Pontzer, Herman, Ainslie, Philip N, Andersen, Lene F, Anderson, Liam J, Arab, Lenore, Baddou, Issad, Bedu-Addo, Kweku, Blaak, Ellen E, Blanc, Stephane, Bonomi, Alberto G, Bouten, Carlijn VC, Bovet, Pascal, Buchowski, Maciej S, Butte, Nancy F, Camps, Stefan GJA, Close, Graeme L, Cooper, Jamie A, Das, Sai Krupa, Cooper, Richard, Dugas, Lara R, Ekelund, Ulf, Entringer, Sonja, Forrester, Terrence, Fudge, Barry W, Goris, Annelies H, Gurven, Michael, Hambly, Catherine, Hamdouchi, Asmaa El, Hoos, Marije B, Hu, Sumei, Joonas, Noorjehan, Joosen, Annemiek M, Katzmarzyk, Peter, Kempen, Kitty P, Kimura, Misaka, Kraus, William E, Kushner, Robert F, Lambert, Estelle V, Leonard, William R, Lessan, Nader, Martin, Corby K, Medin, Anine C, Meijer, Erwin P, Morehen, James C, Morton, James P, Neuhouser, Marian L, Nicklas, Theresa A, Ojiambo, Robert M, Pietiläinen, Kirsi H, Pitsiladis, Yannis P, Plange-Rhule, Jacob, Plasqui, Guy, Prentice, Ross L, Rabinovich, Roberto A, Racette, Susan B, Raichlen, David A, Ravussin, Eric, Reynolds, Rebecca M, Roberts, Susan B, Schuit, Albertine J, Sjödin, Anders M, Stice, Eric, Urlacher, Samuel S, Valenti, Giulio, Van Etten, Ludo M, Van Mil, Edgar A, Wilson, George, Wood, Brian M, Yanovski, Jack, Yoshida, Tsukasa, Zhang, Xueying, Murphy-Alford, Alexia J, Loechl, Cornelia U, Luke, Amy H, Rood, Jennifer, Sagayama, Hiroyuki, Schoeller, Dale A, Westerterp, Klaas R, Wong, William W, Yamada, Yosuke, and Speakman, John R

Subjects
Obesity, Behavioral and Social Science, Affordable and Clean Energy, Adult, Aged, Aging, Animals, Body Composition, Energy Metabolism, Female, Humans, Male, Mammals, Reproduction, Sex Characteristics, DLW, Energetics, Activity, Trait variability, Biological sex, Evolutionary Biology, Anthropology, Archaeology
Abstract

In mammals, trait variation is often reported to be greater among males than females. However, to date, mainly only morphological traits have been studied. Energy expenditure represents the metabolic costs of multiple physical, physiological, and behavioral traits. Energy expenditure could exhibit particularly high greater male variation through a cumulative effect if those traits mostly exhibit greater male variation, or a lack of greater male variation if many of them do not. Sex differences in energy expenditure variation have been little explored. We analyzed a large database on energy expenditure in adult humans (1494 males and 3108 females) to investigate whether humans have evolved sex differences in the degree of interindividual variation in energy expenditure. We found that, even when statistically comparing males and females of the same age, height, and body composition, there is much more variation in total, activity, and basal energy expenditure among males. However, with aging, variation in total energy expenditure decreases, and because this happens more rapidly in males, the magnitude of greater male variation, though still large, is attenuated in older age groups. Considerably greater male variation in both total and activity energy expenditure could be explained by greater male variation in levels of daily activity. The considerably greater male variation in basal energy expenditure is remarkable and may be explained, at least in part, by greater male variation in the size of energy-demanding organs. If energy expenditure is a trait that is of indirect interest to females when choosing a sexual partner, this would suggest that energy expenditure is under sexual selection. However, we present a novel energetics model demonstrating that it is also possible that females have been under stabilizing selection pressure for an intermediate basal energy expenditure to maximize energy available for reproduction.

Published
2022

4. Decline in Isotope Dilution Space Ratio Above Age 60 Could Affect Energy Estimates Using the Doubly Labeled Water Method

Author

Wong, William W, Speakman, John R, Ainslie, Philip N, Anderson, Liam J, Arab, Leonore, Baddou, Issad, Bedu-Addo, Kweku, Blaak, Ellen E, Blanc, Stephane, Bonomi, Alberto G, Bouten, Carlijn VC, Bovet, Pascal, Buchowski, Maciej S, Butte, Nancy F, Camps, Stefan G, Casper, Regina, Close, Graeme L, Colbert, Lisa H, Cooper, Jamie A, Das, Sai K, Davies, Peter SW, Eaton, Simon, Ekelund, Ulf, Hambly, Catherine, El Hamdouchi, Asmaa, Entringer, Sonja, Fudge, Barry W, Gillingham, Melanie, Goris, Annelies H, Gurven, Micheal, Hoos, Marije B, Hu, Sumei, Joosen, Annemiek, Katzmarzyk, Peter T, Kempen, Kitty P, Kimura, Misaka, Kraus, William E, Kushner, Robert F, Larsson, Christel L, Morehen, James C, Morton, James P, Neuhouser, Marian L, Nicklas, Theresa A, Ojiambo, Robert M, Pietilainen, Kirsi H, Pitsiladis, Yannis P, Plasqui, Guy, Prentice, Ross L, Rabinovich, Roberto, Racette, Susan B, Raichen, David A, Redman, Leanne, Ravussin, Eric, Reilly, John J, Roberts, Susan, Scuitt, Albertine J, Sjödin, Anders M, Stice, Eric, Urlacher, Samuel S, Valenti, Giulio, van Etten, Ludo M, Van Mil, Edgar A, Verbunt, Jeanine A, Wells, Jonathan CK, Wilson, George, Yoshida, Tsukasa, Zhang, Xueying, Loechl, Cornelia U, Luke, Amy, Murphy-Alford, Alexia J, Pontzer, Herman, Sagayama, Hiroyuki, Rood, Jennifer C, Schoeller, Dale A, Westerterp, Klaas R, and Yamada, Yosuke

Published
2024
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5. Human total, basal and activity energy expenditures are independent of ambient environmental temperature

Author

Zhang, Xueying, Yamada, Yosuke, Sagayama, Hiroyuki, Ainslie, Philip N, Blaak, Ellen E, Buchowski, Maciej S, Close, Graeme L, Cooper, Jamie A, Das, Sai Krupa, Dugas, Lara R, Gurven, Michael, Hamdouchi, Asmaa El, Hu, Sumei, Joonas, Noorjehan, Katzmarzyk, Peter, Kraus, William E, Kushner, Robert F, Leonard, William R, Martin, Corby K, Meijer, Erwin P, Neuhouser, Marian L, Ojiambo, Robert M, Pitsiladis, Yannis P, Plasqui, Guy, Prentice, Ross L, Racette, Susan B, Ravussin, Eric, Redman, Leanne M, Reynolds, Rebecca M, Roberts, Susan B, Sardinha, Luis B, Silva, Analiza M, Stice, Eric, Urlacher, Samuel S, Van Mil, Edgar A, Wood, Brian M, Murphy-Alford, Alexia J, Loechl, Cornelia, Luke, Amy H, Rood, Jennifer, Schoeller, Dale A, Westerterp, Klaas R, Wong, William W, Pontzer, Herman, Speakman, John R, consortium, the IAEA DLW database, Andersen, Lene F, Anderson, Liam J, Arab, Lenore, Baddou, Issad, Addo, Bedu, Blanc, Stephane, Bonomi, Alberto, Bouten, Carlijn VC, Bovet, Pascal, Branth, Stefan, De Bruin, Niels C, Butte, Nancy F, Colbert, Lisa H, Camps, Stephan G, Dutman, Alice E, Eaton, Simon D, Ekelund, Ulf, Entringer, Sonja, Ebbeling, Cara, Elmståhl, Sölve, Fogelholm, Mikael, Forrester, Terrence, Fudge, Barry W, Harris, Tamara, Heijligenberg, Rik, Goris, Annelies H, Hambly, Catherine, Hoos, Marije B, Jorgensen, Hans U, Joosen, Annemiek M, Kempen, Kitty P, Kimura, Misaka, Kriengsinyos, Watanee, Lambert, Estelle V, Larsson, Christel L, Lessan, Nader, Ludwig, David S, McCloskey, Margaret, Medin, Anine C, Meijer, Gerwin A, Matsiko, Eric, Melse-Boonstra, Alida, Morehen, James C, Morton, James P, Nicklas, Theresa A, Pannemans, Daphne L, Pietiläinen, Kirsi H, Philippaerts, Renaat M, Rabinovich, Roberto A, Reilly, John J, Rothenberg, Elisabet M, Schuit, Albertine J, Schulz, Sabine, and Sjödin, Anders M

Subjects
Nutrition, IAEA DLW database consortium, Human Physiology, Human activity in medical context, Human metabolism
Abstract

Lower ambient temperature (Ta) requires greater energy expenditure to sustain body temperature. However, effects of Ta on human energetics may be buffered by environmental modification and behavioral compensation. We used the IAEA DLW database for adults in the USA (n = 3213) to determine the effect of Ta (-10 to +30°C) on TEE, basal (BEE) and activity energy expenditure (AEE) and physical activity level (PAL). There were no significant relationships (p > 0.05) between maximum, minimum and average Ta and TEE, BEE, AEE and PAL. After adjustment for fat-free mass, fat mass and age, statistically significant (p

Published
2022

6. Total energy expenditure is repeatable in adults but not associated with short-term changes in body composition

Author

Rimbach, Rebecca, Yamada, Yosuke, Sagayama, Hiroyuki, Ainslie, Philip N, Anderson, Lene F, Anderson, Liam J, Arab, Lenore, Baddou, Issaad, Bedu-Addo, Kweku, Blaak, Ellen E, Blanc, Stephane, Bonomi, Alberto G, Bouten, Carlijn VC, Bovet, Pascal, Buchowski, Maciej S, Butte, Nancy F, Camps, Stefan GJA, Close, Graeme L, Cooper, Jamie A, Das, Sai Krupa, Dugas, Lara R, Ekelund, Ulf, Entringer, Sonja, Forrester, Terrence, Fudge, Barry W, Goris, Annelies H, Gurven, Michael, Hambly, Catherine, El Hamdouchi, Asmaa, Hoos, Marije B, Hu, Sumei, Joonas, Noorjehan, Joosen, Annemiek M, Katzmarzyk, Peter, Kempen, Kitty P, Kimura, Misaka, Kraus, William E, Kushner, Robert F, Lambert, Estelle V, Leonard, William R, Lessan, Nader, Martin, Corby K, Medin, Anine C, Meijer, Erwin P, Morehen, James C, Morton, James P, Neuhouser, Marian L, Nicklas, Theresa A, Ojiambo, Robert M, Pietiläinen, Kirsi H, Pitsiladis, Yannis P, Plange-Rhule, Jacob, Plasqui, Guy, Prentice, Ross L, Rabinovich, Roberto A, Racette, Susan B, Raichlen, David A, Ravussin, Eric, Reynolds, Rebecca M, Roberts, Susan B, Schuit, Albertine J, Sjödin, Anders M, Stice, Eric, Urlacher, Samuel S, Valenti, Giulio, Van Etten, Ludo M, Van Mil, Edgar A, Wells, Jonathan CK, Wilson, George, Wood, Brian M, Yanovski, Jack, Yoshida, Tsukasa, Zhang, Xueying, Murphy-Alford, Alexia J, Loechl, Cornelia U, Luke, Amy H, Rood, Jennifer, Schoeller, Dale A, Westerterp, Klaas R, Wong, William W, Speakman, John R, and Pontzer, Herman

Subjects
Nutrition, Pediatric, Clinical Research, Obesity, Aetiology, 2.1 Biological and endogenous factors, Metabolic and endocrine, Adipose Tissue, Adult, Bayes Theorem, Body Composition, Child, Databases, Factual, Energy Metabolism, Female, Humans, Isotope Labeling, Longitudinal Studies, Male, Middle Aged, Water, Weight Gain, IAEA DLW Database Consortium
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.

Published
2022

7. Physical activity and fat-free mass during growth and in later life

Author

Westerterp, Klaas R, Yamada, Yosuke, Sagayama, Hiroyuki, Ainslie, Philip N, Andersen, Lene F, Anderson, Liam J, Arab, Lenore, Baddou, Issaad, Bedu-Addo, Kweku, Blaak, Ellen E, Blanc, Stephane, Bonomi, Alberto G, Bouten, Carlijn VC, Bovet, Pascal, Buchowski, Maciej S, Butte, Nancy F, Camps, Stefan GJA, Close, Graeme L, Cooper, Jamie A, Das, Sai K, Cooper, Richard, Dugas, Lara R, Ekelund, Ulf, Entringer, Sonja, Forrester, Terrence, Fudge, Barry W, Goris, Annelies H, Gurven, Michael, Hambly, Catherine, Hamdouchi, Asmaa El, Hoos, Marije B, Hu, Sumei, Joonas, Noorjehan, Joosen, Annemiek M, Katzmarzyk, Peter, Kempen, Kitty P, Kimura, Misaka, Kraus, William E, Kushner, Robert F, Lambert, Estelle V, Leonard, William R, Lessan, Nader, Martin, Corby K, Medin, Anine C, Meijer, Erwin P, Morehen, James C, Morton, James P, Neuhouser, Marian L, Nicklas, Theresa A, Ojiambo, Robert M, Pietiläinen, Kirsi H, Pitsiladis, Yannis P, Plange-Rhule, Jacob, Plasqui, Guy, Prentice, Ross L, Rabinovich, Roberto A, Racette, Susan B, Raichlen, David A, Ravussin, Eric, Reynolds, Rebecca M, Roberts, Susan B, Schuit, Albertine J, Sjödin, Anders M, Stice, Eric, Urlacher, Samuel S, Valenti, Giulio, Van Etten, Ludo M, Van Mil, Edgar A, Wells, Jonathan CK, Wilson, George, Wood, Brian M, Yanovski, Jack, Yoshida, Tsukasa, Zhang, Xueying, Murphy-Alford, Alexia J, Loechl, Cornelia U, Luke, Amy H, Pontzer, Herman, Rood, Jennifer, Schoeller, Dale A, Wong, William W, Speakman, John R, Branth, Stefan, Colbert, Lisa H, De Bruin, Niels C, Dutman, Alice E, Elmståhl, Sölve, Fogelholm, Mikael, Harris, Tamara, Heijligenberg, Rik, Jorgensen, Hans U, Larsson, Christel L, Rothenberg, Elisabet M, McCloskey, Margaret, Meijer, Gerwin A, Pannemans, Daphne L, Schulz, Sabine, Van den Berg-Emons, Rita, Van Gemert, Wim G, and Wilhelmine, W

Subjects
Prevention, Aging, Clinical Research, Nutrition, Adipose Tissue, Adolescent, Adult, Aged, Aged, 80 and over, Body Composition, Child, Child, Preschool, Cross-Sectional Studies, Energy Metabolism, Exercise, Female, Humans, Male, Middle Aged, Young Adult, physical activity level, age, energy expenditure, body composition, doubly labeled water, International Atomic Energy Agency Doubly Labeled Water database group, Engineering, Medical and Health Sciences, Nutrition & Dietetics
Abstract

BackgroundPhysical activity may be a way to increase and maintain fat-free mass (FFM) in later life, similar to the prevention of fractures by increasing peak bone mass.ObjectivesA study is presented of the association between FFM and physical activity in relation to age.MethodsIn a cross-sectional study, FFM was analyzed in relation to physical activity in a large participant group as compiled in the International Atomic Energy Agency Doubly Labeled Water database. The database included 2000 participants, age 3-96 y, with measurements of total energy expenditure (TEE) and resting energy expenditure (REE) to allow calculation of physical activity level (PAL = TEE/REE), and calculation of FFM from isotope dilution.ResultsPAL was a main determinant of body composition at all ages. Models with age, fat mass (FM), and PAL explained 76% and 85% of the variation in FFM in females and males

Published
2021

8. Energy compensation and adiposity in humans

Author

Careau, Vincent, Halsey, Lewis G, Pontzer, Herman, Ainslie, Philip N, Andersen, Lene F, Anderson, Liam J, Arab, Lenore, Baddou, Issad, Bedu-Addo, Kweku, Blaak, Ellen E, Blanc, Stephane, Bonomi, Alberto G, Bouten, Carlijn VC, Buchowski, Maciej S, Butte, Nancy F, Camps, Stefan GJA, Close, Graeme L, Cooper, Jamie A, Das, Sai Krupa, Cooper, Richard, Dugas, Lara R, Eaton, Simon D, Ekelund, Ulf, Entringer, Sonja, Forrester, Terrence, Fudge, Barry W, Goris, Annelies H, Gurven, Michael, Hambly, Catherine, Hamdouchi, Asmaa El, Hoos, Marije B, Hu, Sumei, Joonas, Noorjehan, Joosen, Annemiek M, Katzmarzyk, Peter, Kempen, Kitty P, Kimura, Misaka, Kraus, William E, Kushner, Robert F, Lambert, Estelle V, Leonard, William R, Lessan, Nader, Martin, Corby K, Medin, Anine C, Meijer, Erwin P, Morehen, James C, Morton, James P, Neuhouser, Marian L, Nicklas, Theresa A, Ojiambo, Robert M, Pietiläinen, Kirsi H, Pitsiladis, Yannis P, Plange-Rhule, Jacob, Plasqui, Guy, Prentice, Ross L, Rabinovich, Roberto A, Racette, Susan B, Raichlen, David A, Ravussin, Eric, Reilly, John J, Reynolds, Rebecca M, Roberts, Susan B, Schuit, Albertine J, Sjödin, Anders M, Stice, Eric, Urlacher, Samuel S, Valenti, Giulio, Van Etten, Ludo M, Van Mil, Edgar A, Wells, Jonathan CK, Wilson, George, Wood, Brian M, Yanovski, Jack, Yoshida, Tsukasa, Zhang, Xueying, Murphy-Alford, Alexia J, Loechl, Cornelia U, Luke, Amy H, Rood, Jennifer, Sagayama, Hiroyuki, Schoeller, Dale A, Wong, William W, Yamada, Yosuke, Speakman, John R, and group, the IAEA DLW database

Subjects
Nutrition, Obesity, Clinical Research, Oral and gastrointestinal, Stroke, Metabolic and endocrine, Cancer, Cardiovascular, Affordable and Clean Energy, Adiposity, Energy Intake, Energy Metabolism, Humans, IAEA DLW database group, Homo sapiens, activity, basal metabolic rate, daily energy expenditure, energy compensation, energy management models, exercise, trade-offs, weight loss, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Developmental Biology
Abstract

Understanding the impacts of activity on energy balance is crucial. Increasing levels of activity may bring diminishing returns in energy expenditure because of compensatory responses in non-activity energy expenditures.1-3 This suggestion has profound implications for both the evolution of metabolism and human health. It implies that a long-term increase in activity does not directly translate into an increase in total energy expenditure (TEE) because other components of TEE may decrease in response-energy compensation. We used the largest dataset compiled on adult TEE and basal energy expenditure (BEE) (n = 1,754) of people living normal lives to find that energy compensation by a typical human averages 28% due to reduced BEE; this suggests that only 72% of the extra calories we burn from additional activity translates into extra calories burned that day. Moreover, the degree of energy compensation varied considerably between people of different body compositions. This association between compensation and adiposity could be due to among-individual differences in compensation: people who compensate more may be more likely to accumulate body fat. Alternatively, the process might occur within individuals: as we get fatter, our body might compensate more strongly for the calories burned during activity, making losing fat progressively more difficult. Determining the causality of the relationship between energy compensation and adiposity will be key to improving public health strategies regarding obesity.

Published
2021

9. Daily energy expenditure through the human life course

Author

Pontzer, Herman, Yamada, Yosuke, Sagayama, Hiroyuki, Ainslie, Philip N, Andersen, Lene F, Anderson, Liam J, Arab, Lenore, Baddou, Issaad, Bedu-Addo, Kweku, Blaak, Ellen E, Blanc, Stephane, Bonomi, Alberto G, Bouten, Carlijn VC, Bovet, Pascal, Buchowski, Maciej S, Butte, Nancy F, Camps, Stefan G, Close, Graeme L, Cooper, Jamie A, Cooper, Richard, Das, Sai Krupa, Dugas, Lara R, Ekelund, Ulf, Entringer, Sonja, Forrester, Terrence, Fudge, Barry W, Goris, Annelies H, Gurven, Michael, Hambly, Catherine, Hamdouchi, Asmaa El, Hoos, Marjije B, Hu, Sumei, Joonas, Noorjehan, Joosen, Annemiek M, Katzmarzyk, Peter, Kempen, Kitty P, Kimura, Misaka, Kraus, William E, Kushner, Robert F, Lambert, Estelle V, Leonard, William R, Lessan, Nader, Martin, Corby, Medin, Anine C, Meijer, Erwin P, Morehen, James C, Morton, James P, Neuhouser, Marian L, Nicklas, Teresa A, Ojiambo, Robert M, Pietiläinen, Kirsi H, Pitsiladis, Yannis P, Plange-Rhule, Jacob, Plasqui, Guy, Prentice, Ross L, Rabinovich, Roberto A, Racette, Susan B, Raichlen, David A, Ravussin, Eric, Reynolds, Rebecca M, Roberts, Susan B, Schuit, Albertine J, Sjödin, Anders M, Stice, Eric, Urlacher, Samuel S, Valenti, Giulio, Van Etten, Ludo M, Van Mil, Edgar A, Wells, Jonathan CK, Wilson, George, Wood, Brian M, Yanovski, Jack, Yoshida, Tsukasa, Zhang, Xueying, Murphy-Alford, Alexia J, Loechl, Cornelia, Luke, Amy H, Rood, Jennifer, Schoeller, Dale A, Westerterp, Klaas R, Wong, William W, Speakman, John R, and Consortium§, IAEA DLW Database

Subjects
Aging, Nutrition, Adolescent, Adult, Aged, Aged, 80 and over, Basal Metabolism, Body Composition, Body Weight, Child, Child, Preschool, Energy Metabolism, Exercise, Female, Humans, Infant, Infant, Newborn, Male, Middle Aged, Pregnancy, Young Adult, IAEA DLW Database Consortium, General Science & Technology
Abstract

Total daily energy expenditure ("total expenditure") reflects daily energy needs and is a critical variable in human health and physiology, but its trajectory over the life course is poorly studied. We analyzed a large, diverse database of total expenditure measured by the doubly labeled water method for males and females aged 8 days to 95 years. Total expenditure increased with fat-free mass in a power-law manner, with four distinct life stages. Fat-free mass-adjusted expenditure accelerates rapidly in neonates to ~50% above adult values at ~1 year; declines slowly to adult levels by ~20 years; remains stable in adulthood (20 to 60 years), even during pregnancy; then declines in older adults. These changes shed light on human development and aging and should help shape nutrition and health strategies across the life span.

Published
2021

10. Total daily energy expenditure has declined over the past three decades due to declining basal expenditure, not reduced activity expenditure

Author

Speakman, John R., de Jong, Jasper M. A., Sinha, Srishti, Westerterp, Klaas R., Yamada, Yosuke, Sagayama, Hiroyuki, Ainslie, Philip N., Anderson, Liam J., Arab, Lenore, Bedu-Addo, Kweku, Blanc, Stephane, Bonomi, Alberto G., Bovet, Pascal, Brage, Soren, Buchowski, Maciej S., Butte, Nancy F., Camps, Stefan G.J.A., Cooper, Jamie A., Cooper, Richard, Das, Sai Krupa, Davies, Peter S. W., Dugas, Lara R., Ekelund, Ulf, Entringer, Sonja, Forrester, Terrence, Fudge, Barry W., Gillingham, Melanie, Ghosh, Santu, Goris, Annelies H., Gurven, Michael, Halsey, Lewis G., Hambly, Catherine, Haisma, Hinke H., Hoffman, Daniel, Hu, Sumei, Joosen, Annemiek M., Kaplan, Jennifer L., Katzmarzyk, Peter, Kraus, William E., Kushner, Robert F., Leonard, William R., Löf, Marie, Martin, Corby K., Matsiko, Eric, Medin, Anine C., Meijer, Erwin P., Neuhouser, Marian L., Nicklas, Theresa A., Ojiambo, Robert M., Pietiläinen, Kirsi H., Plange-Rhule, Jacob, Plasqui, Guy, Prentice, Ross L., Racette, Susan B., Raichlen, David A., Ravussin, Eric, Redman, Leanne M., Roberts, Susan B., Rudolph, Michael C., Sardinha, Luis B., Schuit, Albertine J., Silva, Analiza M., Stice, Eric, Urlacher, Samuel S., Valenti, Giulio, Van Etten, Ludo M., Van Mil, Edgar A., Wood, Brian M., Yanovski, Jack A., Yoshida, Tsukasa, Zhang, Xueying, Murphy-Alford, Alexia J., Loechl, Cornelia U., Kurpad, Anura, Luke, Amy H., Pontzer, Herman, Rodeheffer, Matthew S., Rood, Jennifer, Schoeller, Dale A., and Wong, William W.

Published
2023
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11. A standard calculation methodology for human doubly labeled water studies.

Author

Speakman, John R, Yamada, Yosuke, Sagayama, Hiroyuki, Berman, Elena SF, Ainslie, Philip N, Andersen, Lene F, Anderson, Liam J, Arab, Lenore, Baddou, Issaad, Bedu-Addo, Kweku, Blaak, Ellen E, Blanc, Stephane, Bonomi, Alberto G, Bouten, Carlijn VC, Bovet, Pascal, Buchowski, Maciej S, Butte, Nancy F, Camps, Stefan GJA, Close, Graeme L, Cooper, Jamie A, Creasy, Seth A, Das, Sai Krupa, Cooper, Richard, Dugas, Lara R, Ebbeling, Cara B, Ekelund, Ulf, Entringer, Sonja, Forrester, Terrence, Fudge, Barry W, Goris, Annelies H, Gurven, Michael, Hambly, Catherine, El Hamdouchi, Asmaa, Hoos, Marije B, Hu, Sumei, Joonas, Noorjehan, Joosen, Annemiek M, Katzmarzyk, Peter, Kempen, Kitty P, Kimura, Misaka, Kraus, William E, Kushner, Robert F, Lambert, Estelle V, Leonard, William R, Lessan, Nader, Ludwig, David S, Martin, Corby K, Medin, Anine C, Meijer, Erwin P, Morehen, James C, Morton, James P, Neuhouser, Marian L, Nicklas, Theresa A, Ojiambo, Robert M, Pietiläinen, Kirsi H, Pitsiladis, Yannis P, Plange-Rhule, Jacob, Plasqui, Guy, Prentice, Ross L, Rabinovich, Roberto A, Racette, Susan B, Raichlen, David A, Ravussin, Eric, Reynolds, Rebecca M, Roberts, Susan B, Schuit, Albertine J, Sjödin, Anders M, Stice, Eric, Urlacher, Samuel S, Valenti, Giulio, Van Etten, Ludo M, Van Mil, Edgar A, Wells, Jonathan CK, Wilson, George, Wood, Brian M, Yanovski, Jack, Yoshida, Tsukasa, Zhang, Xueying, Murphy-Alford, Alexia J, Loechl, Cornelia U, Melanson, Edward L, Luke, Amy H, Pontzer, Herman, Rood, Jennifer, Schoeller, Dale A, Westerterp, Klaas R, Wong, William W, and IAEA DLW database group

Subjects
IAEA DLW database group, doubly labeled water, free-living, total energy expenditure, validation
Abstract

The doubly labeled water (DLW) method measures total energy expenditure (TEE) in free-living subjects. Several equations are used to convert isotopic data into TEE. Using the International Atomic Energy Agency (IAEA) DLW database (5,756 measurements of adults and children), we show considerable variability is introduced by different equations. The estimated rCO2 is sensitive to the dilution space ratio (DSR) of the two isotopes. Based on performance in validation studies, we propose a new equation based on a new estimate of the mean DSR. The DSR is lower at low body masses (

Published
2021

13. Variability in energy expenditure is much greater in males than females

Author

Halsey, Lewis G., Careau, Vincent, Pontzer, Herman, Ainslie, Philip N., Andersen, Lene F., Anderson, Liam J., Arab, Lenore, Baddou, Issad, Bedu-Addo, Kweku, Blaak, Ellen E., Blanc, Stephane, Bonomi, Alberto G., Bouten, Carlijn V.C., Bovet, Pascal, Buchowski, Maciej S., Butte, Nancy F., Camps, Stefan G.J.A., Close, Graeme L., Cooper, Jamie A., Das, Sai Krupa, Cooper, Richard, Dugas, Lara R., Ekelund, Ulf, Entringer, Sonja, Forrester, Terrence, Fudge, Barry W., Goris, Annelies H., Gurven, Michael, Hambly, Catherine, Hamdouchi, Asmaa El, Hoos, Marije B., Hu, Sumei, Joonas, Noorjehan, Joosen, Annemiek M., Katzmarzyk, Peter, Kempen, Kitty P., Kimura, Misaka, Kraus, William E., Kushner, Robert F., Lambert, Estelle V., Leonard, William R., Lessan, Nader, Martin, Corby K., Medin, Anine C., Meijer, Erwin P., Morehen, James C., Morton, James P., Neuhouser, Marian L., Nicklas, Theresa A., Ojiambo, Robert M., Pietiläinen, Kirsi H., Pitsiladis, Yannis P., Plange-Rhule, Jacob, Plasqui, Guy, Prentice, Ross L., Rabinovich, Roberto A., Racette, Susan B., Raichlen, David A., Ravussin, Eric, Reynolds, Rebecca M., Roberts, Susan B., Schuit, Albertine J., Sjödin, Anders M., Stice, Eric, Urlacher, Samuel S., Valenti, Giulio, Van Etten, Ludo M., Van Mil, Edgar A., Wilson, George, Wood, Brian M., Yanovski, Jack, Yoshida, Tsukasa, Zhang, Xueying, Murphy-Alford, Alexia J., Loechl, Cornelia U., Luke, Amy H., Rood, Jennifer, Sagayama, Hiroyuki, Schoeller, Dale A., Westerterp, Klaas R., Wong, William W., Yamada, Yosuke, and Speakman, John R.

Published
2022
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14. Diet, hydration, lifestyle and training practices of elite Kenyan endurance runners

Author

Fudge, Barry W.

Subjects
613.2024796424, QP Physiology
Abstract

Since the emergence of Kenyan endurance runners on the world stage at the 1968 Mexico Olympics, where they won 8 medals ranging from 400m relay to the 10 000m, Kenyan success has grown year on year. The staggering success of a country that compromises just 0.5 % of the world population has triggered a number of explanations. Heavily cited explanations are genetic superiority and environmental factors. Despite a number of investigations, genetic superiority remains to be determined, what is clear though is that the environmental factors that interact with each genetic element leading to world-class performance are particularly important. Aims and objectives: Given the importance environmental factors may have on the process leading to world class performance, the main aims of the following research were: 1) to determine the composition of elite Kenyan endurance runners diet and assess their energy balance status prior to major competition using "gold standard" methods; 2) to establish lifestyle practices of elite Kenyan endurance runners prior to major competition that will allow an insight in to the preparation of some of the best athletes in the world; 3) to ascertain the hydration status of elite Kenyan endurance runners during an important training period and directly compare these results to traditional paradigms and current thinking on optimal fluid intake for superior endurance running performance; 4) to investigate the training process leading to world class performance by quantifying training load in the lead up to major competition; 5) to determine the fluid intake behaviours of the world s best marathon runners during racing. This will allow an insight into current practices of elite runners that will act as a benchmark and comparison of current fluid intake guidelines; and 6) to validate and combine existing technologies of heart rate and accelerometry for quantifying energy expenditure during free living conditions. Methods: Chapters 2 and 3 detail extensively the diet, hydration, lifestyle and training practices of a group of highly successful elite Kenyan endurance runners during important training periods based at a high altitude camp in Kenya. Chapter 4 explores the significance of the hydration practices reported in Chapters 2 and 3 (i.e., ad libitum fluid intake) have on elite marathon running performance and the wider implications for fluid intake recommendations for elite marathon running. Chapter 5 investigates novel technology (i.e., the combined use of accelerometry and heart rate) that may further enhance our understanding of the physical activity patterns and training practices of elite Kenyan endurance runners on a day-to-day basis. Results and discussion: Chapter 2 reported elite Kenyan endurance runners are in negative energy balance prior to major competition as assessed by the gold standard doubly labeled water method (Energy intake: 13.2 +/- 1.3 MJ/d: vs. Energy expenditure: 14.6 +/- 1.0 MJ/d; p < 0.005). Considering the relatively high carbohydrate content of their diet (e.g., 67.3 +/- 7.8 %, 9.8 g/kg/bm) it is hypothesised the caloric deficit may not have a direct impact on their training performance. In fact the performance implications of reducing body mass as a result of energy deficiency is that the athletes will be lighter for competition and may thus be at an advantage as the energy cost per unit distance increases in direct proportion to the added load expressed as a percentage of body mass. Measured physical activity patterns (i.e., Physical Activity Ratio (PAR) and accelerometry) of elite Kenyan endurance runners strongly suggest rest between running training sessions is an important lifestyle factor as it was found time spent relaxing, in light activity, slow running (8.0-13.6 km/h), moderate running (13.7-17.3 km/h), and fast running (> 17.4 km/h) as estimated using the PAR method was 82 +/- 6 %, 8 +/- 6 %, 3 +/- 1 %, 5 +/- 1 %, 2 +/- 1 %, respectively. The reported time spent in light, moderate, hard and very hard activity as determined by accelerometry was 82 +/- 3 %, 11 +/- 2 %, 6 +/- 3 %, and 1 +/- 1 % respectively. A further striking finding in Chapter 2 was the relatively low daily fluid intake that consisted of primarily water (0.9 +/- 0.5 L/d) and milky tea (0.9 +/- 0.3 L/d). Chapter 3 found athletes remained hydrated day-to-day drinking ad libitum despite this relatively low daily fluid intake that corroborated prevailing fluid intake recommendations. This was evidenced by mean total body water and pre training body mass being maintained day-to-day throughout the recording period (p = 0.194 and p = 0.302, respectively). Furthermore, there was no significant difference between the osmolality of the morning urine sample and the evening sample (p = 0.685). It was also found that athletes remained in electrolyte balance (Na+ intake: 3245 +/- 901 vs. Na+ loss: 3254 +/- 1070 mg/d; p = 0.975) day-to-day thus negating the need for further supplementation.

Published
2009

15. Greater male variability in daily energy expenditure develops through puberty

Author

Halsey, Lewis G., Careau, Vincent, Ainslie, Philip N., Alemán-Mateo, Heliodoro, Andersen, Lene F., Anderson, Liam J., Arab, Leonore, Baddou, Issad, Bandini, Linda, Bedu-Addo, Kweku, Blaak, Ellen E., Blanc, Stephane, Bonomi, Alberto G., Bouten, Carlijn V.C., Bovet, Pascal, Brage, Soren, Buchowski, Maciej S., Butte, Nancy, Camps, Stephan G., Casper, Regian, Close, Graeme L., Colbert, Lisa H., Cooper, Jamie A., Cooper, Richard, Dabare, Prasangi, Das, Sai Krupa, Davies, Peter S.W., Deb, Sanjoy, Nyström, Christine Delisle, Dietz, William, Dugas, Lara R., Eaton, Simon, Ekelund, Ulf, Hamdouchi, Asmaa El, Entringer, Sonja, Forrester, Terrence, Fudge, Barry W., Gillingham, Melanie, Goris, Annelies H., Gurven, Michael, Haisma, Hinke, Hambly, Catherine, Hoffman, Daniel, Hoos, Marije B., Hu, Sumei, Joonas, Noorjehan, Joosen, Annemiek, Katzmarzyk, Peter, Matsiko, Eric, Meijer, Gerwin A., Halsey, Lewis G., Careau, Vincent, Ainslie, Philip N., Alemán-Mateo, Heliodoro, Andersen, Lene F., Anderson, Liam J., Arab, Leonore, Baddou, Issad, Bandini, Linda, Bedu-Addo, Kweku, Blaak, Ellen E., Blanc, Stephane, Bonomi, Alberto G., Bouten, Carlijn V.C., Bovet, Pascal, Brage, Soren, Buchowski, Maciej S., Butte, Nancy, Camps, Stephan G., Casper, Regian, Close, Graeme L., Colbert, Lisa H., Cooper, Jamie A., Cooper, Richard, Dabare, Prasangi, Das, Sai Krupa, Davies, Peter S.W., Deb, Sanjoy, Nyström, Christine Delisle, Dietz, William, Dugas, Lara R., Eaton, Simon, Ekelund, Ulf, Hamdouchi, Asmaa El, Entringer, Sonja, Forrester, Terrence, Fudge, Barry W., Gillingham, Melanie, Goris, Annelies H., Gurven, Michael, Haisma, Hinke, Hambly, Catherine, Hoffman, Daniel, Hoos, Marije B., Hu, Sumei, Joonas, Noorjehan, Joosen, Annemiek, Katzmarzyk, Peter, Matsiko, Eric, and Meijer, Gerwin A.

Abstract

There is considerably greater variation in metabolic rates between men than between women, in terms of basal, activity and total (daily) energy expenditure (EE). One possible explanation is that EE is associated with male sexual characteristics (which are known to vary more than other traits) such as musculature and athletic capacity. Such traits might be predicted to be most prominent during periods of adolescence and young adulthood, when sexual behaviour develops and peaks. We tested this hypothesis on a large dataset by comparing the amount of male variation and female variation in total EE, activity EE and basal EE, at different life stages, along with several morphological traits: height, fat free mass and fat mass. Total EE, and to some degree also activity EE, exhibit considerable greater male variation (GMV) in young adults, and then a decreasing GMV in progressively older individuals. Arguably, basal EE, and also morphometrics, do not exhibit this pattern. These findings suggest that single male sexual characteristics may not exhibit peak GMV in young adulthood, however total and perhaps also activity EE, associated with many morphological and physiological traits combined, do exhibit GMV most prominently during the reproductive life stages.

Published
2023

16. Total energy expenditure is repeatable in adults but not associated with short-term changes in body composition

Author

IAEA DLW Database Consortium, Rimbach, Rebecca, Yamada, Yosuke, Sagayama, Hiroyuki, Ainslie, Philip N., Anderson, Lene F., Anderson, Liam J., Arab, Lenore, Baddou, Issaad, Bedu-addo, Kweku, Blaak, Ellen E., Blanc, Stephane, Bonomi, Alberto G., Bouten, Carlijn V. C., Bovet, Pascal, Buchowski, Maciej S., Butte, Nancy F., Camps, Stefan G. J. A., Close, Graeme L., Cooper, Jamie A., Das, Sai Krupa, Dugas, Lara R., Ekelund, Ulf, Entringer, Sonja, Forrester, Terrence, Fudge, Barry W., Goris, Annelies H., Gurven, Michael, Hambly, Catherine, El Hamdouchi, Asmaa, Hoos, Marije B., Hu, Sumei, Joonas, Noorjehan, Joosen, Annemiek M., Katzmarzyk, Peter, Kempen, Kitty P., Kimura, Misaka, Kraus, William E., Kushner, Robert F., Lambert, Estelle V., Leonard, William R., Lessan, Nader, Martin, Corby K., Medin, Anine C., Meijer, Erwin P., Morehen, James C., Morton, James P., Neuhouser, Marian L., Nicklas, Theresa A., Ojiambo, Robert M., Pietiläinen, Kirsi H., Schuit, Jantine, IAEA DLW Database Consortium, Rimbach, Rebecca, Yamada, Yosuke, Sagayama, Hiroyuki, Ainslie, Philip N., Anderson, Lene F., Anderson, Liam J., Arab, Lenore, Baddou, Issaad, Bedu-addo, Kweku, Blaak, Ellen E., Blanc, Stephane, Bonomi, Alberto G., Bouten, Carlijn V. C., Bovet, Pascal, Buchowski, Maciej S., Butte, Nancy F., Camps, Stefan G. J. A., Close, Graeme L., Cooper, Jamie A., Das, Sai Krupa, Dugas, Lara R., Ekelund, Ulf, Entringer, Sonja, Forrester, Terrence, Fudge, Barry W., Goris, Annelies H., Gurven, Michael, Hambly, Catherine, El Hamdouchi, Asmaa, Hoos, Marije B., Hu, Sumei, Joonas, Noorjehan, Joosen, Annemiek M., Katzmarzyk, Peter, Kempen, Kitty P., Kimura, Misaka, Kraus, William E., Kushner, Robert F., Lambert, Estelle V., Leonard, William R., Lessan, Nader, Martin, Corby K., Medin, Anine C., Meijer, Erwin P., Morehen, James C., Morton, James P., Neuhouser, Marian L., Nicklas, Theresa A., Ojiambo, Robert M., Pietiläinen, Kirsi H., and Schuit, Jantine

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.

Published
2022

17. A standard calculation methodology for human doubly labeled water studies

Author

Speakman, John R., Yamada, Yosuke, Sagayama, Hiroyuki, Berman, Elena S.f., Ainslie, Philip N., Andersen, Lene F., Anderson, Liam J., Arab, Lenore, Baddou, Issaad, Bedu-addo, Kweku, Blaak, Ellen E., Blanc, Stephane, Bonomi, Alberto G., Bouten, Carlijn V.c., Bovet, Pascal, Buchowski, Maciej S., Butte, Nancy F., Camps, Stefan G.j.a., Close, Graeme L., Cooper, Jamie A., Creasy, Seth A., Das, Sai Krupa, Cooper, Richard, Dugas, Lara R., Ebbeling, Cara B., Ekelund, Ulf, Entringer, Sonja, Forrester, Terrence, Fudge, Barry W., Goris, Annelies H., Gurven, Michael, Hambly, Catherine, El Hamdouchi, Asmaa, Hoos, Marije B., Hu, Sumei, Joonas, Noorjehan, Joosen, Annemiek M., Katzmarzyk, Peter, Kempen, Kitty P., Kimura, Misaka, Kraus, William E., Kushner, Robert F., Lambert, Estelle V., Leonard, William R., Lessan, Nader, Ludwig, David S., Martin, Corby K., Medin, Anine C., Meijer, Erwin P., Morehen, James C., Morton, James P., Neuhouser, Marian L., Nicklas, Theresa A., Ojiambo, Robert M., Pietiläinen, Kirsi H., Pitsiladis, Yannis P., Plange-rhule, Jacob, Plasqui, Guy, Prentice, Ross L., Rabinovich, Roberto A., Racette, Susan B., Raichlen, David A., Ravussin, Eric, Reynolds, Rebecca M., Roberts, Susan B., Schuit, Albertine J., Sjödin, Anders M., Stice, Eric, Urlacher, Samuel S., Valenti, Giulio, Van Etten, Ludo M., Van Mil, Edgar A., Wells, Jonathan C.k., Wilson, George, Wood, Brian M., Yanovski, Jack, Yoshida, Tsukasa, Zhang, Xueying, Murphy-alford, Alexia J., Loechl, Cornelia U., Melanson, Edward L., Luke, Amy H., Pontzer, Herman, Rood, Jennifer, Schoeller, Dale A., Westerterp, Klaas R., Wong, William W., Speakman, John R., Yamada, Yosuke, Sagayama, Hiroyuki, Berman, Elena S.f., Ainslie, Philip N., Andersen, Lene F., Anderson, Liam J., Arab, Lenore, Baddou, Issaad, Bedu-addo, Kweku, Blaak, Ellen E., Blanc, Stephane, Bonomi, Alberto G., Bouten, Carlijn V.c., Bovet, Pascal, Buchowski, Maciej S., Butte, Nancy F., Camps, Stefan G.j.a., Close, Graeme L., Cooper, Jamie A., Creasy, Seth A., Das, Sai Krupa, Cooper, Richard, Dugas, Lara R., Ebbeling, Cara B., Ekelund, Ulf, Entringer, Sonja, Forrester, Terrence, Fudge, Barry W., Goris, Annelies H., Gurven, Michael, Hambly, Catherine, El Hamdouchi, Asmaa, Hoos, Marije B., Hu, Sumei, Joonas, Noorjehan, Joosen, Annemiek M., Katzmarzyk, Peter, Kempen, Kitty P., Kimura, Misaka, Kraus, William E., Kushner, Robert F., Lambert, Estelle V., Leonard, William R., Lessan, Nader, Ludwig, David S., Martin, Corby K., Medin, Anine C., Meijer, Erwin P., Morehen, James C., Morton, James P., Neuhouser, Marian L., Nicklas, Theresa A., Ojiambo, Robert M., Pietiläinen, Kirsi H., Pitsiladis, Yannis P., Plange-rhule, Jacob, Plasqui, Guy, Prentice, Ross L., Rabinovich, Roberto A., Racette, Susan B., Raichlen, David A., Ravussin, Eric, Reynolds, Rebecca M., Roberts, Susan B., Schuit, Albertine J., Sjödin, Anders M., Stice, Eric, Urlacher, Samuel S., Valenti, Giulio, Van Etten, Ludo M., Van Mil, Edgar A., Wells, Jonathan C.k., Wilson, George, Wood, Brian M., Yanovski, Jack, Yoshida, Tsukasa, Zhang, Xueying, Murphy-alford, Alexia J., Loechl, Cornelia U., Melanson, Edward L., Luke, Amy H., Pontzer, Herman, Rood, Jennifer, Schoeller, Dale A., Westerterp, Klaas R., and Wong, William W.

Abstract

The doubly labeled water (DLW) method measures total energy expenditure (TEE) in free-living subjects. Several equations are used to convert isotopic data into TEE. Using the International Atomic Energy Agency (IAEA) DLW database (5,756 measurements of adults and children), we show considerable variability is introduced by different equations. The estimated rCO2 is sensitive to the dilution space ratio (DSR) of the two isotopes. Based on performance in validation studies, we propose a new equation based on a new estimate of the mean DSR. The DSR is lower at low body masses (<10 kg). Using data for 1,021 babies and infants, we show that the DSR varies non-linearly with body mass between 0 and 10 kg. Using this relationship to predict DSR from weight provides an equation for rCO2 over this size range that agrees well with indirect calorimetry (average difference 0.64%; SD = 12.2%). We propose adoption of these equations in future studies.

Published
2021

28. Comparison of Step-Wise and Ramp-Wise Incremental Rowing Exercise Tests and 2000-m Rowing Ergometer Performance.

Author

Ingham, Stephen A., Pringle, Jamie S., Hardman, Sarah L., Fudge, Barry W., and Richmond, Victoria L.

Subjects
ANTHROPOMETRY, ATHLETIC ability, CARDIOPULMONARY system, COMPARATIVE studies, STATISTICAL correlation, EXERCISE physiology, EXERCISE tests, HEART rate monitoring, LACTATES, PULMONARY gas exchange, ROWING, STATISTICAL hypothesis testing, T-test (Statistics), ANAEROBIC exercises, ANAEROBIC threshold, OXYGEN consumption, ERGOMETRY, EXERCISE intensity, DESCRIPTIVE statistics
Abstract

Purpose: This study examined parameters derived from both an incremental step-wise and a ramp-wise graded rowing exercise test in relation to rowing performance. Methods: Discontinuous step-wise incremental rowing to exhaustion established lactate threshold (LT), maximum oxygen consumption (VO2maxSTEP) and power associated with VO2max (W VO2max)- A further continuous ramp-wise test was undertaken to derive ventilatory threshold (VT), maximum oxygen consumption (VO2maxRAMP)> and maximum minute power (MMW). Results were compared with maximal 2000-m ergometer time-trial power. Results: The strongest correlation with 2000-m power was observed for MMW (r = .98, P < .001), followed by W VO2max (r = .96; P < .001). The difference between MMW and W VO2max compared with the mean of MMW/W VO2max showed a widening bias with a greater difference coincident with greater power. However, this bias was reduced when expressed as a ratio term and when a baseline VO2 was accounted for. There were no differences (P = .85) between measures of VO2maxSTEP an2maxRAMP; rather, the measures showed strong association (r = .97, P < .001, limits of agreement = -0.43 to 0.33 L/min). The power at LT and VT did not differ (P = .6), and a significant association was observed (r= .73, P= .001, limits of agreement = -54.3 to 20.2 W, SEE = 26.1 ). Conclusions: This study indicates that MMW demonstrates a strong association with ergometer rowing performance and thus may have potential as an influential monitoring tool for rowing athletes. [ABSTRACT FROM AUTHOR]

Published
2013
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29. Improvement of 800-m Running Performance With Prior High-Intensity Exercise.

Author

Ingham, Stephen A., Fudge, Barry W., Pringle, Jamie S., and Jones, Andrew M.

Subjects
ANTHROPOMETRY, ATHLETES, ATHLETIC ability, CARDIOPULMONARY system, EXERCISE physiology, EXERCISE tests, JOGGING, LACTATES, T-test (Statistics), U-statistics, STATISTICAL significance, TREADMILLS, WARMUP, OXYGEN consumption, LONG-distance running, EXERCISE intensity, DESCRIPTIVE statistics
Abstract

Prior high-intensity exercise increases the oxidative energy contribution to subsequent exercise and may enhance exercise tolerance. The potential impact of a high-intensity warm-up on competitive performance, however, has not been investigated. Purpose: To test the hypothesis that a high-intensity warm-up would speed VO2 kinetics and enhance 800-m running performance in well-trained athletes. Methods: Eleven highly trained middle-distance runners completed two 800-m time trials on separate days on an indoor track, preceded by 2 different warm-up procedures. The 800-m time trials were preceded by a 10-min self-paced jog and standardized mobility drills, followed by either 6 x 50-m strides (control [CON]) or 2 x 50-m strides and a continuous high-intensity 200-m run (HWU) at race pace. Blood [La] was measured before the time trials, and VO2 was measured breath by breath throughout exercise. Results: 800-m time-trial performance was significantly faster after HWU (124.5 ± 8.3 vs CON, 125.7 ± 8.7 s, P < .05). Blood [La] was greater after HWU (3.6 ± 1.9 vs CON, 1.7 ± 0.8 mM; P < .01 ). The mean response time for VO2 was not different between conditions (HWU, 27 ± 6 vs CON, 28 ± 7 s), but total O2 consumed (HWU, 119 ± 18 vs CON, 109 ± 28 ml/kg, P = .05) and peak VO2 attained (HWU, 4.21 ± 0.85 vs CON, 3.91 ± 0.63 L/min; P - .08) tended to be greater after HWU. Conclusions: These data indicate that a sustained high-intensity warm-up enhances 800-m time-trial performance in trained athletes. [ABSTRACT FROM AUTHOR]

Published
2013
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31. Evidence of negative energy balance using doubly labelled water in elite Kenyan endurance runners prior to competition

Author

Fudge, Barry W., Westerterp, Klaas R., Kiplamai, Festus K., Onywera, Vincent O., Boit, Michael K., Kayser, Bengt, Pitsiladis, Yannis P., Fudge, Barry W., Westerterp, Klaas R., Kiplamai, Festus K., Onywera, Vincent O., Boit, Michael K., Kayser, Bengt, and Pitsiladis, Yannis P.

Abstract

Previous studies have found Kenyan endurance runners to be in negative energy balance during training and prior to competition. The aim of the present study was to assess energy balance in nine elite Kenyan endurance runners during heavy training. Energy intake and expenditure were determined over 7d using weighed dietary intake and doubly labelled water, respectively. Athletes were on average in negative energy balance (mean energy intake 13 241 (SD 1330) kJ/d v. mean energy expenditure 14 611 (SD 1043) kJ/d; P=0·046), although there was no loss in body mass (mean 56·0 (SD 3·4) kg v. 55·7 (SD 3·6) kg; P=0·285). The calculation of underreporting was 13; (range −24 to +9%) and almost entirely accounted for by undereating (9% (range −55 to +39%)) as opposed to a lack of significant underrecording (i.e. total water intake was no different from water loss (mean 4·2 (SD 0·6) l/d v. 4·5 (SD 0·8) l/d; P=0·496)). Fluid intake was modest and consisted mainly of water (0·9 (SD 0·5) l/d) and milky tea (0·9 (SD 0·3) l/d). The diet was high in carbohydrate (67·3 (SD 7·8) %) and sufficient in protein (15·3 (SD 4·0) %) and fat (17·4 (SD 3·9) %). These results confirm previous observations that Kenyan runners are in negative energy balance during periods of intense training. A negative energy balance would result in a reduction in body mass, which, when combined with a high carbohydrate diet, would have the potential in the short term to enhance endurance running performance by reducing the energy cost of running

Published
2017

33. Altitude training in endurance running: perceptions of elite athletes and support staff.

Author

Maxwell, Neil S, Richardson, Alan J, Turner, Gareth, Pringle, Jamie S M, and Fudge, Barry W

Subjects
ALTITUDES, HYPOXEMIA, ATHLETIC ability, COACHES (Athletics), SENSORY perception, SURVEYS, SPORTS events, PHYSICAL training & conditioning, LONG-distance running, ELITE athletes, PSYCHOLOGY
Abstract

This study sought to establish perceptions of elite endurance athletes on the role and worth of altitude training. Elite British endurance runners were surveyed to identify the altitude and hypoxic training methods utilised, along with reasons for use, and any situational, cultural and behaviour factors influencing these. Prior to the 2012 Olympics Games, 39 athletes and 20 support staff (coaches/practitioners) completed an internet-based survey to establish differences between current practices and the accepted "best-practice". Almost all of the athletes (98%) and support staff (95%) surveyed had utilised altitude and hypoxic training, or had advised it to athletes. 75% of athletes believed altitude and hypoxia to be a "very important" factor in their training regime, with 50% of support staff believing the same. Athletes and support staff were in agreement of the methods of altitude training utilised (i.e. 'hypoxic dose' and strategy), with camps lasting 3-4 weeks at 1,500-2,500 m being the most popular. Athletes and support staff are utilising altitude and hypoxic training methods in a manner agreeing with research-based suggestions. The survey identified a number of specific challenges and priorities, which could provide scope to optimise future altitude training methods for endurance performance in these elite groups. [ABSTRACT FROM AUTHOR]

Published
2019
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40. Tapering strategies in elite British endurance runners.

Author

Spilsbury, Kate L., Fudge, Barry W., Ingham, Stephen A., Faulkner, Steve H., and Nimmo, Myra A.

Subjects
*STATISTICAL correlation, *QUESTIONNAIRES, *STATISTICS, *DATA analysis, *MULTIPLE regression analysis, *PHYSICAL training & conditioning, *ELITE athletes, *LONG-distance running, *DATA analysis software, *DESCRIPTIVE statistics, *KRUSKAL-Wallis Test
Abstract

The aim of the study was to explore pre-competition training practices of elite endurance runners. Training details from elite British middle distance (MD; 800 m and 1500 m), long distance (LD; 3000 m steeplechase to 10,000 m) and marathon (MAR) runners were collected by survey for 7 days in a regular training (RT) phase and throughout a pre-competition taper. Taper duration was [median (interquartile range)] 6 (3) days in MD, 6 (1) days in LD and 14 (8) days in MAR runners. Continuous running volume was reduced to 70 (16)%, 71 (24)% and 53 (12)% of regular levels in MD, LD and MAR runners, respectively (P < 0.05). Interval running volume was reduced compared to regular training (MD; 53 (45)%, LD; 67 (23)%, MAR; 64 (34)%, P < 0.05). During tapering, the peak interval training intensity was above race speed in LD and MAR runners (112 (27)% and 114 (3)%, respectively, P < 0.05), but not different in MD (100 (2)%). Higher weekly continuous running volume and frequency in RT were associated with greater corresponding reductions during the taper (R = −0.70 and R = −0.63, respectively, both P < 0.05). Running intensity during RT was positively associated with taper running intensity (continuous intensity; R = 0.97 and interval intensity; R = 0.81, both P < 0.05). Algorithms were generated to predict and potentially prescribe taper content based on the RT of elite runners. In conclusion, training undertaken prior to the taper in elite endurance runners is predictive of the tapering strategy implemented before competition. [ABSTRACT FROM AUTHOR]

Published
2015
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41. Diet, hydration, lifestyle and training practices of elite Kenyan endurance runners

Author

Fudge, Barry W. and Fudge, Barry W.

Abstract

Since the emergence of Kenyan endurance runners on the world stage at the 1968 Mexico Olympics, where they won 8 medals ranging from 400 m relay to the 10 000 m, Kenyan success has grown year on year. The staggering success of a country that compromises just 0.5 % of the world population has triggered a number of explanations. Heavily cited explanations are genetic superiority and environmental factors. Despite a number of investigations, genetic superiority remains to be determined, what is clear though is that the environmental factors that interact with each genetic element leading to world-class performance are particularly important. Aims and objectives: Given the importance environmental factors may have on the process leading to world class performance, the main aims of the following research were: 1) to determine the composition of elite Kenyan endurance runners diet and assess their energy balance status prior to major competition using "gold standard" methods; 2) to establish lifestyle practices of elite Kenyan endurance runners prior to major competition that will allow an insight in to the preparation of some of the best athletes in the world; 3) to ascertain the hydration status of elite Kenyan endurance runners during an important training period and directly compare these results to traditional paradigms and current thinking on optimal fluid intake for superior endurance running performance; 4) to investigate the training process leading to world class performance by quantifying training load in the lead up to major competition; 5) to determine the fluid intake behaviours of the world's best marathon runners during racing. This will allow an insight into current practices of elite runners that will act as a benchmark and comparison of current fluid intake guidelines; and 6) to validate and combine existing technologies of heart rate and accelerometry for quantifying energy expenditure during free living conditions. Methods: Chapters 2 and 3 detail ext

42. Diet, hydration, lifestyle and training practices of elite Kenyan endurance runners

Author

Fudge, Barry W. and Fudge, Barry W.

Abstract

Since the emergence of Kenyan endurance runners on the world stage at the 1968 Mexico Olympics, where they won 8 medals ranging from 400 m relay to the 10 000 m, Kenyan success has grown year on year. The staggering success of a country that compromises just 0.5 % of the world population has triggered a number of explanations. Heavily cited explanations are genetic superiority and environmental factors. Despite a number of investigations, genetic superiority remains to be determined, what is clear though is that the environmental factors that interact with each genetic element leading to world-class performance are particularly important. Aims and objectives: Given the importance environmental factors may have on the process leading to world class performance, the main aims of the following research were: 1) to determine the composition of elite Kenyan endurance runners diet and assess their energy balance status prior to major competition using "gold standard" methods; 2) to establish lifestyle practices of elite Kenyan endurance runners prior to major competition that will allow an insight in to the preparation of some of the best athletes in the world; 3) to ascertain the hydration status of elite Kenyan endurance runners during an important training period and directly compare these results to traditional paradigms and current thinking on optimal fluid intake for superior endurance running performance; 4) to investigate the training process leading to world class performance by quantifying training load in the lead up to major competition; 5) to determine the fluid intake behaviours of the world's best marathon runners during racing. This will allow an insight into current practices of elite runners that will act as a benchmark and comparison of current fluid intake guidelines; and 6) to validate and combine existing technologies of heart rate and accelerometry for quantifying energy expenditure during free living conditions. Methods: Chapters 2 and 3 detail ext

43. Diet, hydration, lifestyle and training practices of elite Kenyan endurance runners

Author

Fudge, Barry W. and Fudge, Barry W.

Abstract

Since the emergence of Kenyan endurance runners on the world stage at the 1968 Mexico Olympics, where they won 8 medals ranging from 400 m relay to the 10 000 m, Kenyan success has grown year on year. The staggering success of a country that compromises just 0.5 % of the world population has triggered a number of explanations. Heavily cited explanations are genetic superiority and environmental factors. Despite a number of investigations, genetic superiority remains to be determined, what is clear though is that the environmental factors that interact with each genetic element leading to world-class performance are particularly important. Aims and objectives: Given the importance environmental factors may have on the process leading to world class performance, the main aims of the following research were: 1) to determine the composition of elite Kenyan endurance runners diet and assess their energy balance status prior to major competition using "gold standard" methods; 2) to establish lifestyle practices of elite Kenyan endurance runners prior to major competition that will allow an insight in to the preparation of some of the best athletes in the world; 3) to ascertain the hydration status of elite Kenyan endurance runners during an important training period and directly compare these results to traditional paradigms and current thinking on optimal fluid intake for superior endurance running performance; 4) to investigate the training process leading to world class performance by quantifying training load in the lead up to major competition; 5) to determine the fluid intake behaviours of the world's best marathon runners during racing. This will allow an insight into current practices of elite runners that will act as a benchmark and comparison of current fluid intake guidelines; and 6) to validate and combine existing technologies of heart rate and accelerometry for quantifying energy expenditure during free living conditions. Methods: Chapters 2 and 3 detail ext

44. Evidence of negative energy balance using doubly labelled water in elite Kenyan endurance runners prior to competition

Author

Fudge, Barry W., Westerterp, Klaas R., Kiplamai, Festus K., Onywera, Vincent O., Boit, Michael K., Kayser, Bengt, Pitsiladis, Yannis P., Fudge, Barry W., Westerterp, Klaas R., Kiplamai, Festus K., Onywera, Vincent O., Boit, Michael K., Kayser, Bengt, and Pitsiladis, Yannis P.

Abstract

Previous studies have found Kenyan endurance runners to be in negative energy balance during training and prior to competition. The aim of the present study was to assess energy balance in nine elite Kenyan endurance runners during heavy training. Energy intake and expenditure were determined over 7d using weighed dietary intake and doubly labelled water, respectively. Athletes were on average in negative energy balance (mean energy intake 13 241 (SD 1330) kJ/d v. mean energy expenditure 14 611 (SD 1043) kJ/d; P=0·046), although there was no loss in body mass (mean 56·0 (SD 3·4) kg v. 55·7 (SD 3·6) kg; P=0·285). The calculation of underreporting was 13; (range −24 to +9%) and almost entirely accounted for by undereating (9% (range −55 to +39%)) as opposed to a lack of significant underrecording (i.e. total water intake was no different from water loss (mean 4·2 (SD 0·6) l/d v. 4·5 (SD 0·8) l/d; P=0·496)). Fluid intake was modest and consisted mainly of water (0·9 (SD 0·5) l/d) and milky tea (0·9 (SD 0·3) l/d). The diet was high in carbohydrate (67·3 (SD 7·8) %) and sufficient in protein (15·3 (SD 4·0) %) and fat (17·4 (SD 3·9) %). These results confirm previous observations that Kenyan runners are in negative energy balance during periods of intense training. A negative energy balance would result in a reduction in body mass, which, when combined with a high carbohydrate diet, would have the potential in the short term to enhance endurance running performance by reducing the energy cost of running

45. Greater male variability in daily energy expenditure develops through puberty.

Author

Halsey LG, Careau V, Ainslie PN, Alemán-Mateo H, Andersen LF, Anderson LJ, Arab L, Baddou I, Bandini L, Bedu-Addo K, Blaak EE, Blanc S, Bonomi AG, Bouten CVC, Bovet P, Brage S, Buchowski MS, Butte N, Camps SG, Casper R, Close GL, Colbert LH, Cooper JA, Cooper R, Dabare P, Das SK, Davies PSW, Deb S, Nyström CD, Dietz W, Dugas LR, Eaton S, Ekelund U, Hamdouchi AE, Entringer S, Forrester T, Fudge BW, Gillingham M, Goris AH, Gurven M, Haisma H, Hambly C, Hoffman D, Hoos MB, Hu S, Joonas N, Joosen A, Katzmarzyk P, Kempen KP, Kimura M, Kraus WE, Kriengsinyos W, Kuriyan R, Kushner RF, Lambert EV, Lanerolle P, Larsson CL, Lessan N, Löf M, Martin C, Matsiko E, Meijer GA, Morehen JC, Morton JP, Must A, Neuhouser M, Nicklas TA, Ojiambo RM, Pietilainen KH, Pitsiladis YP, Plange-Rhule J, Plasqui G, Prentice RL, Rabinovich R, Racette SB, Raichen DA, Ravussin E, Redman L, Reilly JJ, Reynolds R, Roberts S, Rood JC, Samaranayake D, Sardinha LB, Scuitt AJ, Silva AM, Sinha S, Sjödin AM, Stice E, Stunkard A, Urlacher SS, Valencia ME, Valenti G, van Etten LM, Van Mil EA, Verbunt JA, Wells JCK, Wilson G, Wood B, Yoshida T, Zhang X, Murphy-Alford A, Loechl C, Luke A, Pontzer H, Rood J, Sagayama H, Westerterp KR, Wong WW, Yamada Y, and Speakman JR

Subjects
Adolescent, Young Adult, Female, Humans, Male, Adult, Reproduction, Energy Metabolism, Phenotype, Puberty, Sexual Behavior
Abstract

There is considerably greater variation in metabolic rates between men than between women, in terms of basal, activity and total (daily) energy expenditure (EE). One possible explanation is that EE is associated with male sexual characteristics (which are known to vary more than other traits) such as musculature and athletic capacity. Such traits might be predicted to be most prominent during periods of adolescence and young adulthood, when sexual behaviour develops and peaks. We tested this hypothesis on a large dataset by comparing the amount of male variation and female variation in total EE, activity EE and basal EE, at different life stages, along with several morphological traits: height, fat free mass and fat mass. Total EE, and to some degree also activity EE, exhibit considerable greater male variation (GMV) in young adults, and then a decreasing GMV in progressively older individuals. Arguably, basal EE, and also morphometrics, do not exhibit this pattern. These findings suggest that single male sexual characteristics may not exhibit peak GMV in young adulthood, however total and perhaps also activity EE, associated with many morphological and physiological traits combined, do exhibit GMV most prominently during the reproductive life stages.

Published
2023
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