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

Author

Haisma, Hinke, Hambly, Catherine, Hoffman, Daniel, Hoos, Marije, Hu, Sumei, Joonas, Noorjehan, Joosen, Annemiek, Katzmarzyk, Peter, Kempen, Kitty, Kimura, Misaka, Kraus, William, Kriengsinyos, Wantanee, Kuriyan, Rebecca, Kushner, Robert, Lambert, Estelle, Lanerolle, Pulani, Larsson, Christel, Lessan, Nader, Löf, Marie, Martin, Corby, Matsiko, Eric, Meijer, Gerwin, Morehen, James, Morton, James, Must, Aviva, Neuheuser, Marian, Nicklas, Theresa, Ojiambo, Robert, Pietilainen, Kirsi, Pitsiladis, Yannis, Plange-Rhule, Jacob, Plasqui, Guy, Prentice, Ross, Rabinovich, Roberto, Racette, Susan, Raichen, David, Ravussin, Eric, Redman, Leanne, Reilly, John, Reynolds, Rebecca, Roberts, Susan, Rood, Jennifer, Samaranayake, Dulani, Sardinha, Luís, Scuitt, Albertine, Silva, Analiza, Sinha, Srishti, Sjödin, Anders, Stice, Eric, Stunkard, Albert, Urlacher, Samuel, Valencia, Mauro, Valenti, Giulio, van Etten, Ludo, Van Mil, Edgar, Verbunt, Jeanine, Wells, Jonathan, Wilson, George, Wood, Brian, Yoshida, Tsukasa, Zhang, Xueying, Murphy-Alford, Alexia, Loechl, Cornelia, Luke, Amy, Pontzer, Herman, Sagayama, Hiroyuki, Westerterp, Klaas, Wong, William, Yamada, Yosuke, Speakman, John, Halsey, Lewis, Careau, Vincent, Ainslie, Philip, Alemán-Mateo, Heliodoro, Andersen, Lene, Anderson, Liam, Arab, Leonore, Baddou, Issad, Bandini, Linda, Bedu-Addo, Kweku, Blaak, Ellen, Blanc, Stephane, Bonomi, Alberto, Bouten, Carlijn, Bovet, Pascal, Brage, Soren, Buchowski, Maciej, Butte, Nancy, Camps, Stephan, Casper, Regian, Close, Graeme, Colbert, Lisa, Cooper, Jamie, Cooper, Richard, Dabare, Prasangi, Das, Sai, Davies, Peter, Deb, Sanjoy, and Nyström, Christine

Subjects
age, height, inter-individual variation, morphometry, weight, Adolescent, Young Adult, Female, Humans, Male, Adult, Puberty, Sexual Behavior, Reproduction, Energy Metabolism, Phenotype
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

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

Author

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

Subjects
Male, Female, United States, Humans, Health Expenditures, Exercise, Basal Metabolism, Energy Metabolism, Obesity
Abstract

Obesity is caused by a prolonged positive energy balance1,2. Whether reduced energy expenditure stemming from reduced activity levels contributes is debated3,4. Here we show that in both sexes, total energy expenditure (TEE) adjusted for body composition and age declined since the late 1980s, while adjusted activity energy expenditure increased over time. We use the International Atomic Energy Agency Doubly Labelled Water database on energy expenditure of adults in the United States and Europe (n = 4,799) to explore patterns in total (TEE: n = 4,799), basal (BEE: n = 1,432) and physical activity energy expenditure (n = 1,432) over time. In males, adjusted BEE decreased significantly, but in females this did not reach significance. A larger dataset of basal metabolic rate (equivalent to BEE) measurements of 9,912 adults across 163 studies spanning 100 years replicates the decline in BEE in both sexes. We conclude that increasing obesity in the United States/Europe has probably not been fuelled by reduced physical activity leading to lowered TEE. We identify here a decline in adjusted BEE as a previously unrecognized factor.

Published
2023

4. The bioelectrical impedance analysis (BIA) international database: aims, scope, and call for data

Author

Silva, Analiza M., Campa, Francesco, Stagi, Silvia, Gobbo, Luís A., Buffa, Roberto, Toselli, Stefania, Silva, Diego Augusto Santos, Gonçalves, Ezequiel M., Langer, Raquel D., Guerra-Júnior, Gil, Machado, Dalmo R. L., Kondo, Emi, Sagayama, Hiroyuki, Omi, Naomi, Yamada, Yosuke, Yoshida, Tsukasa, Fukuda, Wataru, Gonzalez, Maria Cristina, Orlandi, Silvana P., Koury, Josely C., Moro, Tatiana, Paoli, Antonio, Kruger, Salome, Schutte, Aletta E., Andreolli, Angela, Earthman, Carrie P., Fuchs-Tarlovsky, Vanessa, Irurtia, Alfredo, Castizo-Olier, Jorge, Mascherini, Gabriele, Petri, Cristian, Busert, Laura K., Cortina-Borja, Mario, Bailey, Jeanette, Tausanovitch, Zachary, Lelijveld, Natasha, Ghazzawi, Hadeel Ali, Amawi, Adam Tawfiq, Tinsley, Grant, Kangas, Suvi T., Salpéteur, Cécile, Vázquez-Vázquez, Adriana, Fewtrell, Mary, Ceolin, Chiara, Sergi, Giuseppe, Ward, Leigh C., Heitmann, Berit L., da Costa, Roberto Fernandes, Vicente-Rodriguez, German, Cremasco, Margherita Micheletti, Moroni, Alessia, Shepherd, John, Moon, Jordan, Knaan, Tzachi, Müller, Manfred J., Braun, Wiebke, García‐Almeida, José M., Palmeira, António L., Santos, Inês, Larsen, Sofus C., Zhang, Xueying, Speakman, John R., Plank, Lindsay D., Swinburn, Boyd A., Ssensamba, Jude Thaddeus, Shiose, Keisuke, Cyrino, Edilson S., Bosy-Westphal, Anja, Heymsfield, Steven B., Lukaski, Henry, Sardinha, Luís B., Wells, Jonathan C., and Marini, Elisabetta

Published
2023
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5. 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

6. 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

7. 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

8. Validation of Web-Based Physical Activity Measurement Systems Using Doubly Labeled Water

Author

Namba, Hideyuki, Yamaguchi, Yukio, Yamada, Yosuke, Tokushima, Satoru, Hatamoto, Yoichi, Sagayama, Hiroyuki, Kimura, Misaka, Higaki, Yasuki, and Tanaka, Hiroaki

Subjects
Computer applications to medicine. Medical informatics, R858-859.7, Public aspects of medicine, RA1-1270
Abstract

BackgroundOnline or Web-based measurement systems have been proposed as convenient methods for collecting physical activity data. We developed two Web-based physical activity systems—the 24-hour Physical Activity Record Web (24hPAR WEB) and 7 days Recall Web (7daysRecall WEB). ObjectiveTo examine the validity of two Web-based physical activity measurement systems using the doubly labeled water (DLW) method. MethodsWe assessed the validity of the 24hPAR WEB and 7daysRecall WEB in 20 individuals, aged 25 to 61 years. The order of email distribution and subsequent completion of the two Web-based measurements systems was randomized. Each measurement tool was used for a week. The participants’ activity energy expenditure (AEE) and total energy expenditure (TEE) were assessed over each week using the DLW method and compared with the respective energy expenditures estimated using the Web-based systems. ResultsThe mean AEE was 3.90 (SD 1.43) MJ estimated using the 24hPAR WEB and 3.67 (SD 1.48) MJ measured by the DLW method. The Pearson correlation for AEE between the two methods was r = .679 (P < .001). The Bland-Altman 95% limits of agreement ranged from –2.10 to 2.57 MJ between the two methods. The Pearson correlation for TEE between the two methods was r = .874 (P < .001). The mean AEE was 4.29 (SD 1.94) MJ using the 7daysRecall WEB and 3.80 (SD 1.36) MJ by the DLW method. The Pearson correlation for AEE between the two methods was r = .144 (P = .54). The Bland-Altman 95% limits of agreement ranged from –3.83 to 4.81 MJ between the two methods. The Pearson correlation for TEE between the two methods was r = .590 (P = .006). The average input times using terminal devices were 8 minutes and 10 seconds for the 24hPAR WEB and 6 minutes and 38 seconds for the 7daysRecall WEB. ConclusionsBoth Web-based systems were found to be effective methods for collecting physical activity data and are appropriate for use in epidemiological studies. Because the measurement accuracy of the 24hPAR WEB was moderate to high, it could be suitable for evaluating the effect of interventions on individuals as well as for examining physical activity behavior.

Published
2012
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11. 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

12. 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

13. 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

14. 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

16. 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

20. Human total, basal and activity energy expenditures are independent of ambient environmental temperature

Author

Andersen, Lene F., Anderson, Liam J., Arab, Lenore, Baddou, Issad, Addo, Bedu, Blanc, Stephane, Bonomi, Alberto, Bouten, Carlijn V.C., 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, Sjödin, Anders M., Subar, Amy, Tanskanen, Minna, Uauy, Ricardo, Valenti, Giulio, Van Etten, Ludo M., Berg-Emons, Rita Van den, Van Gemert, Wim G., Velthuis-te Wierik, Erica J., Verboeket-van de Venne, Wilhelmine W., Verbunt, Jeanine A., Wells, Jonathan C.K., Wilson, George, 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, El Hamdouchi, Asmaa, 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, and Speakman, John R.

Published
2022
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22. Prevalence of Poor Sleep Quality and its Association with Lifestyle Habits, Competition-Based Activities, and Psychological Distress in Japanese Student-Athletes During the COVID-19 Pandemic

Author

Monma, Takafumi, additional, Yamashita, Kazuki, additional, Yoshida, Goichiro, additional, Fujita, Eiji, additional, Miyazawa, Taiki, additional, Ebine, Naoyuki, additional, Matsukura, Keita, additional, Takeda, Satoko, additional, Matamura, Misato, additional, Yamane, Maki, additional, Ando, Kayoko, additional, Omi, Naomi, additional, Sagayama, Hiroyuki, additional, and Takeda, Fumi, additional

Published
2024
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23. Exercise intensity at RPE13 in female Kendo practitioners: A pilot study exploring the detection of mental fortitude.

Author

Kitahara, Akari, Tamai, Shinsuke, Sagayama, Hiroyuki, Nomura, Shoko, Kagawa, Rina, Suzuki, Hideo, Tsurushima, Hideo, and Watanabe, Koichi

Subjects
KENDO, EXERCISE intensity, RATE of perceived exertion, ANAEROBIC threshold, HEART beat
Abstract

Abstract:Introduction: Kendo, a Japanese martial art, requires rigorous physical and mental training. Kendo practitioners who engage in daily mental training may experience a disparity between their subjective perception of exertion and the actual physiological load on their bodies. Methods: Fifteen healthy adult female kendo practitioners were recruited as participants. Participants were asked to report levels of exertion using the Ratings of Perceived Exertion (RPE) during a progressive, load-incremented stress test. The participants' heart rate at the time of reporting RPE13, which is considered a "somewhat hard" level of exertion, as well as heart rate at the anaerobic threshold (AT) to measure actual load, were compared to the maximum heart rate measurement obtained during the test. Results: The participants' heart rates at RPE13 were found to be higher than those at AT, based on their values as percentages of maximum heart rates. Conclusion: This study discovered that kendo practitioners engaged in regular mental training exhibited a higher heart rate at "somewhat hard" exertion (RPE13) compared to the anaerobic threshold (AT), indicating a relative increase in RPE. Additional research is necessary to determine if this effect is attributable to mental training. [ABSTRACT FROM AUTHOR]

Published
2024
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26. Metabolic flexibility during sleep

Author

Zhang, Simeng, Tanaka, Yoshiaki, Ishihara, Asuka, Uchizawa, Akiko, Park, Insung, Iwayama, Kaito, Ogata, Hitomi, Yajima, Katsuhiko, Omi, Naomi, Satoh, Makoto, Yanagisawa, Masashi, Sagayama, Hiroyuki, and Tokuyama, Kumpei

Published
2021
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33. Skeletal muscle mass can be estimated by creatine (methyl‐d3) dilution and is correlated with fat-free mass in active young males

Author

Sagayama, Hiroyuki, primary, Yamada, Yosuke, additional, Kondo, Emi, additional, Tanabe, Yoko, additional, Uchizawa, Akiko, additional, Shankaran, Mahalakshmi, additional, Nyangau, Edna, additional, Evans, William J., additional, Hellerstein, Marc, additional, Yasukata, Jun, additional, Higaki, Yasuki, additional, Ohnishi, Takahiro, additional, and Takahashi, Hideyuki, additional

Published
2022
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34. Variability in energy expenditure is much greater in males than females

Author

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

Published
2022
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38. Skeletal muscle mass can be estimated by creatine (methyl-d3) dilution and is correlated with fat-free mass in active young males.

Author

Sagayama, Hiroyuki, Yamada, Yosuke, Kondo, Emi, Tanabe, Yoko, Uchizawa, Akiko, Shankaran, Mahalakshmi, Nyangau, Edna, Evans, William J., Hellerstein, Marc, Yasukata, Jun, Higaki, Yasuki, Ohnishi, Takahiro, and Takahashi, Hideyuki

Abstract

Background: Assessing whole-body skeletal muscle mass (SMM) and fat-free mass (FFM) is essential for the adequate nutritional management and training evaluation of athletes and trained individuals. This study aimed to determine the relationship between SMM assessed using the creatine (methyl-d3) dilution (D3-creatine) method and SMM estimated by whole-body magnetic resonance imaging (MRI) in healthy young men undergoing exercise training. Additionally, we examined the association between FFM measured using the four-component (4C) method (FFM4C) and the total body protein value estimated using 4C (TBpro4C).Methods and Results: We analyzed the data of 29 males (mean age, 19.9 ± 1.8 years) who exercised regularly. SMM measurements were obtained using the D3-creatine method (SMMD3-creatine) and MRI (SMMMRI). The SMMD3-creatine adjusted to 4.3 g/SMM kg was significantly higher than SMMMRI (p < 0.01). The fit of the creatine pool size compared with SMMMRI was 5.0 g/SMMMRI kg. SMMMRI was significantly correlated with both SMMD3-creatine adjusted to 4.3 g/kg and 5.1 g/kg. TBpro4C was significantly lower than SMMMRI (p < 0.01). Contrastingly, FFM4C was significantly higher than SMMMRI (p < 0.01).Conclusions: SMMD3-creatine adjusted to 4.3 g/SMM kg-a previously reported value-may differ for athletes and active young males. We believe that a value of 5.0-5.1 g/SMM kg better estimates the total muscle mass in this population. Traditional FFM estimation highly correlates with SMMMRI in well-trained young males, and the relationships appear strong enough for total body protein or SMM to be estimated through the FFM value. [ABSTRACT FROM AUTHOR]

Published
2023
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42. Association between Water and Energy Requirements with Physical Activity and Fat-Free Mass in Preschool Children in Japan

Author

Yamada, Yosuke, primary, Sagayama, Hiroyuki, additional, Yasukata, Jun, additional, Uchizawa, Akiko, additional, Itoi, Aya, additional, Yoshida, Tsukasa, additional, Watanabe, Daiki, additional, Hashii-Arishima, Yukako, additional, Mitsuishi, Hisashi, additional, Nishimura, Makoto, additional, Kimura, Misaka, additional, and Aoki, Yoshiko, additional

Published
2021
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47. Calculation method for daily water intake components using doubly labeled water

Author

Yamada, Yosuke, primary, Watanabe, Daiki, additional, Sagayama, Hiroyuki, additional, Itoi, Aya, additional, Yoshida, Tsukasa, additional, Watanabe, Yuya, additional, Nanri, Hinako, additional, Yoshimura, Eiichi, additional, Pontzer, Herman, additional, Luke, Amy, additional, Kimura, Misaka, additional, Schoeller, Dale, additional, Miyachi, Motohiko, additional, and Speakman, John, additional

Published
2021
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