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1. 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

2. 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

3. 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

5. Randomized controlled trial of early, small-volume formula supplementation among newborns: A study protocol

Author

Ginsburg, Amy Sarah, de, Augusto Braima, Nankabirwa, Victoria, Co, Raimundo, Murungi, Joanitta, Kim, Mi-Ok, Brim, Rachel, Namiiro, Flavia, Namugga, Olive, Hartigan-O’Connor, Dennis J, Roberts, Susan B, and Flaherman, Valerie

Subjects
Paediatrics, Biomedical and Clinical Sciences, Nutrition and Dietetics, Breastfeeding, Lactation and Breast Milk, Preterm, Low Birth Weight and Health of the Newborn, Prevention, Clinical Research, Pediatric, Clinical Trials and Supportive Activities, Perinatal Period - Conditions Originating in Perinatal Period, Nutrition, Reproductive health and childbirth, Oral and gastrointestinal, Zero Hunger, Good Health and Well Being, Female, Humans, Infant, Newborn, Dietary Supplements, Food, Formulated, Gastrointestinal Microbiome, Guinea-Bissau, Infant Formula, Infant Nutritional Physiological Phenomena, Infant, Low Birth Weight, Intention to Treat Analysis, Mothers, Patient Safety, Prospective Studies, Thinness, Treatment Outcome, Uganda, Malnutrition, Randomized Controlled Trials as Topic, General Science & Technology
Abstract

Childhood undernutrition is a major health burden worldwide that increases childhood morbidity and mortality and causes impairment in infant growth and developmental delays that can persist into adulthood. The first weeks and months after birth are critical to the establishment of healthy growth and development during childhood. The World Health Organization recommends immediate and exclusive breastfeeding (EBF). In infants for whom EBF may not meet nutritional and caloric demands, early, daily, small-volume formula supplementation along with breastfeeding may more effectively avoid underweight wasting and stunting in early infancy than breastfeeding alone. The primary objective of this randomized controlled trial is to evaluate the efficacy of formula for 30 days among low birth weight (LBW) infants

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. 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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9. 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

10. 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

11. Transient Effect of Infant Formula Supplementation on the Intestinal Microbiota.

Author

Chin, Ning, Méndez-Lagares, Gema, Taft, Diana H, Laleau, Victoria, Kieu, Hung, Narayan, Nicole R, Roberts, Susan B, Mills, David A, Hartigan-O'Connor, Dennis J, and Flaherman, Valerie J

Subjects
Feces, Immune System, Humans, RNA, Ribosomal, 16S, Diet Surveys, Breast Feeding, Infant Formula, Dietary Supplements, Infant, Infant, Newborn, United States, Female, Male, Infant Nutritional Physiological Phenomena, Gastrointestinal Microbiome, breastfeeding, delivery mode, formula supplementation, immune development, infant diet, microbiome, microbiota–immune system interactions, microbiota&#8211, immune system interactions, Prevention, Pediatric Research Initiative, Nutrition, Pediatric, Food Sciences, Nutrition and Dietetics
Abstract

Breastfeeding is the gold standard for feeding infants because of its long-term benefits to health and development, but most infants in the United States are not exclusively breastfed in the first six months. We enrolled 24 infants who were either exclusively breastfed or supplemented with formula by the age of one month. We collected diet information, stool samples for evaluation of microbiotas by 16S rRNA sequencing, and blood samples for assessment of immune development by flow cytometry from birth to 6 months of age. We further typed the Bifidobacterium strains in stool samples whose 16S rRNA sequencing showed the presence of Bifidobacteriaceae. Supplementation with formula during breastfeeding transiently changed the composition of the gut microbiome, but the impact dissipated by six months of age. For example, Bifidobacterium longum, a bacterial species highly correlated with human milk consumption, was found to be significantly different only at 1 month of age but not at later time points. No immunologic differences were found to be associated with supplementation, including the development of T-cell subsets, B cells, or monocytes. These data suggest that early formula supplementation, given in addition to breast milk, has minimal lasting impact on the gut microbiome or immunity.

Published
2021

12. 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. Technical report: an online international weight control registry to inform precision approaches to healthy weight management

Author

Roberts, Susan B., Das, Sai Krupa, Sayer, R. Drew, Caldwell, Ann E., Wyatt, Holly R., Mehta, Tapan S., Gorczyca, Anna M., Oslund, Jennifer L., Peters, John C., Friedman, James E., Chiu, Chia-Ying, Greenway, Frank L., Donnelly, Joseph E., Dao, Maria Carlota, Cuevas, Adolfo G., Affuso, Olivia, Wilkinson, Larrell L., Thomas, Diana, Al-Ozairi, Ebaa, Yannakoulia, Mary, Khazrai, Yeganeh M., Manalac, Raoul J., Bachiashvili, Vasil, and Hill, James O.

Published
2022
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16. Weight Loss Strategies

Author

Roberts, Susan B., Anton, Stephen, Dao, Maria C., Barrett, James E., Editor-in-Chief, Flockerzi, Veit, Editorial Board Member, Frohman, Michael A., Editorial Board Member, Geppetti, Pierangelo, Editorial Board Member, Hofmann, Franz B., Editorial Board Member, Kuner, Rohini, Editorial Board Member, Michel, Martin C., Editorial Board Member, Page, Clive P., Editorial Board Member, Wang, KeWei, Editorial Board Member, Eckel, Juergen, editor, and Clément, Karine, editor

Published
2022
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18. 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. Effects of food supplementation on cognitive function, cerebral blood flow, and nutritional status in young children at risk of undernutrition : randomized controlled trial

Author

Roberts, Susan B, Franceschini, Maria A, Silver, Rachel E, Taylor, Salima F, de Sa, Augusto Braima, Có, Raimundo, Sonco, Aliu, Krauss, Amy, Taetzsch, Amy, Webb, Patrick, Das, Sai Krupa, Chen, C-Y, Rogers, Beatrice L, Saltzman, Edward, Lin, Pei-Yi, Schlossman, Nina, Pruzensky, William, Balé, Carlito, Chui, Kenneth Kwan Ho, and Muentener, Paul

Published
2020

26. Weight Loss Trajectories and Short-Term Prediction in an Online Weight Management Program.

Author

Zhou, Bingjie, Roberts, Susan B., Das, Sai Krupa, and Naumova, Elena N.

Abstract

The extent to which early weight loss in behavioral weight control interventions predicts long-term success remains unclear. In this study, we developed an algorithm aimed at classifying weight change trajectories and examined its ability to predict long-term weight loss based on weight early change. We utilized data from 667 de-identified individuals who participated in a commercial weight loss program (Instinct Health Science), comprising 69,363 weight records. Sequential polynomial regression models were employed to classify participants into distinct weight trajectory patterns based on key model parameters. Next, we applied multinomial logistic models to evaluate if early weight loss in the first 14 days and prolonged duration of participation were significantly associated with long-term weight loss patterns. The mean percentage of weight loss was 7.9 ± 5.1% over 133 ± 69 days. Our analysis revealed four main weight loss trajectory patterns: a steady decrease over time (30.6%), a decrease to a plateau with subsequent decline (15.8%), a decrease to a plateau with subsequent increase (46.9%), and no substantial decrease (6.7%). Early weight change rate and total participating duration emerged as significant factors in differentiating long-term weight loss patterns. These findings contribute to support the provision of tailored advice in the early phase of behavioral interventions for weight loss. [ABSTRACT FROM AUTHOR]

Published
2024
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27. Development and Feasibility of an eHealth Diabetes Prevention Program Adapted for Older Adults—Results from a Randomized Control Pilot Study.

Author

Gerber, Suzannah, Silver, Rachel E., Das, Sai Krupa, Greene, Savana S., Dix, Sadie R., Ramirez, Isabella, Morcos, Christina L., Dao, Maria Carlota, Ceglia, Lisa, and Roberts, Susan B.

Abstract

Lifestyle programs that reduce health risks and support weight loss (WL) in older adults face adherence and attendance challenges due to reduced energy requirements, impaired mobility, lack of transportation, and low social support. Tailored lifestyle and weight management programs are needed to better support healthy aging for older adults. Here, we developed and piloted an age-adapted, remotely delivered modification of the Diabetes Prevention Program (DPP). The modification includes age-appropriate goals, visuals, and examples; flexible dietary composition; remote classroom and fitness-monitoring technology; and standardized online classroom materials employing pedagogical and behavior change theory. The modifications were designed to safeguard fidelity and to boost adherence, engagement, and knowledge integration, with the convenience of a fully remote WL program for diverse older adults. Six-month pilot data are presented from older adults (55–85 years, body mass index (BMI) 27–39.9 kg/m2, N = 20) randomly allocated to an online DPP intervention with weight, diet, and activity monitored remotely, or into a waitlisted control. The intervention achieved 100% attendance and adherence to self-monitoring. The intervention group mean (±SD) body weight change was −9.5% (±4.1); 90% lost ≥ 5%. By contrast, the control group gained 2.4% (±1.8). Once thought incompatible with older adults, remote interventions are feasible for older adults and can support fidelity, adherence, engagement, and clinically significant WL. Standardized materials are provided for future implementation. [ABSTRACT FROM AUTHOR]

Published
2024
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28. Weight history of individuals with and without physical disability in the International Weight Control Registry.

Author

Clina, Julianne G., Sayer, R. Drew, Gorczyca, Anna M., Das, Sai Krupa, Friedman, James E., Chui, Tsz Kiu, Roberts, Susan B., and Hill, James O.

Subjects
DISABILITIES, WEIGHT loss, PEOPLE with disabilities, REGULATION of body weight, BODY mass index, CHI-squared test
Abstract

Background: People with physical disabilities (PWD) have an increased risk of obesity and related comorbidities compared with people without physical disabilities (PWoD). Previously identified contributors to weight loss maintenance pose challenges to PWD. However, it is not known if PWD experience less success in weight management. Methods: Six hundred and nine participants in the International Weight Control Registry (IWCR) were eligible for this analysis (PWD, n = 174; PWoD, n = 435). Self‐reported weight history metrics were compared using general linear models. Perceived weight history category was compared using Chi‐squared tests. Importance of diet and physical activity strategies for weight management were compared using Wilcoxon rank‐signed tests. Results: PWD reported higher current body mass index (BMI) (36.1 ± 0.7 vs. 31.0 ± 0.5; p < 0.0001) and more weight loss attempts (9.1 ± 0.7 vs. 7.1 ± 0.4; p = 0.01) than PWoD. Current weight loss percentage (PWD 13.0 ± 1.0; PWoD, 13.0 ± 0.6; p = 0.97) and weight loss category (χ2 [3, N = 609] = 2.9057, p = 0.41) did not differ between the groups. There were no differences in any weight strategy between PWD who were successful and those who regained. Conclusions: PWD and PWoD in the IWCR achieved similar levels of weight maintenance success. However, higher BMI and more weight loss attempts suggest that PWD may face challenges with weight management. More research is needed to identify strategies leading to success for PWD. [ABSTRACT FROM AUTHOR]

Published
2024
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29. Energy Contents of Frequently Ordered Restaurant Meals and Comparison with Human Energy Requirements and US Department of Agriculture Database Information: A Multisite Randomized Study

Author

Urban, Lorien E, Weber, Judith L, Heyman, Melvin B, Schichtl, Rachel L, Verstraete, Sofia, Lowery, Nina S, Das, Sai Krupa, Schleicher, Molly M, Rogers, Gail, Economos, Christina, Masters, William A, and Roberts, Susan B

Subjects
Public Health, Biomedical and Clinical Sciences, Nutrition and Dietetics, Health Sciences, Clinical Research, Obesity, Nutrition, Arkansas, Boston, Calorimetry, Databases, Factual, Energy Intake, Food Analysis, Food Labeling, Humans, Hyperphagia, Meals, Nutrition Policy, Nutritional Requirements, Restaurants, San Francisco, United States, United States Department of Agriculture, Dietary energy, Fast food, Weight gain, Clinical Sciences, Anthropology, Biomedical and clinical sciences, Health sciences
Abstract

BackgroundExcess energy intake from meals consumed away from home is implicated as a major contributor to obesity, and ∼50% of US restaurants are individual or small-chain (non-chain) establishments that do not provide nutrition information.ObjectiveTo measure the energy content of frequently ordered meals in non-chain restaurants in three US locations, and compare with the energy content of meals from large-chain restaurants, energy requirements, and food database information.DesignA multisite random-sampling protocol was used to measure the energy contents of the most frequently ordered meals from the most popular cuisines in non-chain restaurants, together with equivalent meals from large-chain restaurants.SettingMeals were obtained from restaurants in San Francisco, CA; Boston, MA; and Little Rock, AR, between 2011 and 2014.Main outcome measuresMeal energy content determined by bomb calorimetry.Statistical analysis performedRegional and cuisine differences were assessed using a mixed model with restaurant nested within region×cuisine as the random factor. Paired t tests were used to evaluate differences between non-chain and chain meals, human energy requirements, and food database values.ResultsMeals from non-chain restaurants contained 1,205±465 kcal/meal, amounts that were not significantly different from equivalent meals from large-chain restaurants (+5.1%; P=0.41). There was a significant effect of cuisine on non-chain meal energy, and three of the four most popular cuisines (American, Italian, and Chinese) had the highest mean energy (1,495 kcal/meal). Ninety-two percent of meals exceeded typical energy requirements for a single eating occasion.ConclusionsNon-chain restaurants lacking nutrition information serve amounts of energy that are typically far in excess of human energy requirements for single eating occasions, and are equivalent to amounts served by the large-chain restaurants that have previously been criticized for providing excess energy. Restaurants in general, rather than specific categories of restaurant, expose patrons to excessive portions that induce overeating through established biological mechanisms.

Published
2016

36. Randomized controlled trial of a novel lifestyle intervention used with or without meal replacements in work sites

Author

Das, Sai Krupa, primary, Silver, Rachel E., additional, Vail, Taylor A., additional, Chin, Meghan K., additional, Blanchard, Caroline M., additional, Dickinson, Stephanie L., additional, Chen, Xiwei, additional, Ceglia, Lisa, additional, Saltzman, Edward, additional, Allison, David B., additional, and Roberts, Susan B., additional

Published
2023
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37. iDiet

Author

Roberts, Susan B., primary, Krauss, Amy, additional, Gamache, Madeleine M., additional, and Das, Sai Krupa, additional

Published
2018
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38. Vegan Diets

Author

Das, Sai Krupa, primary, Karlsen, Micaela C., additional, Blanchard, Caroline, additional, and Roberts, Susan B., additional

Published
2018
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39. 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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44. Newborn weight change and predictors of underweight in the neonatal period in Guinea‐Bissau, Nepal, Pakistan and Uganda

Author

Flaherman, Valerie J., primary, Ginsburg, Amy S., additional, Nankabirwa, Victoria, additional, Braima da Sa, Augusto, additional, Medel‐Herrero, Alvaro, additional, Schaefer, Eric, additional, Dongol, Srijana, additional, Shrestha, Akina, additional, Nisar, Imran, additional, Altaf, Muddassir, additional, Liaquat, Khushboo, additional, Baloch, Benazir, additional, Rahman, Najeeb, additional, Shafiq, Yasir, additional, Ariff, Shabina, additional, Jehan, Fyezah, additional, and Roberts, Susan B., additional

Published
2022
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47. Perceived intrinsic, social, and environmental barriers for weight management in older Hispanic/Latino adults with obesity.

Author

Dao, Maria Carlota, Yu, Zihan, Maafs‐Rodríguez, Ana, Moser, Brandy, Cuevas, Adolfo G., Economos, Christina D., and Roberts, Susan B.

Subjects
REGULATION of body weight, COMPULSIVE eating, OBESITY, HISPANIC Americans, ADULTS, FOOD habits
Abstract

Background: The burden of obesity and chronic disease is increasing in the older US Hispanic/Latino adult population. There is limited evidence on successful weight management strategies as perceived by this population. Assessing barriers and opportunities for weight management using mixed methods is a robust approach to collect in‐depth information that can be applied to the development of well‐tailored weight management interventions for this population. Objective: The objective of this study was to assess perceived individual, interpersonal, and environmental factors that influence weight management in older Hispanic/Latino adults. Methods: This community‐based cross‐sectional study included 23 Hispanic/Latino older (>50y) adults with obesity (BMI >30 kg/m2). Perceived barriers and opportunities for weight management were assessed through validated questionnaires and focus groups. Prospectively registered on ClinicalTrials.gov (NCT03978416) on 7 June 2019. Results: In this demographically heterogeneous population, language acculturation was generally low, and the frequency of poor dietary behaviors was high. Participants linked financial strain to lower diet quality, as well as anxiety to uncontrolled eating and food cravings. Social support and trust in healthcare professionals were perceived as priorities for healthy eating. Structural and environmental barriers such as affordability and availability of culturally preferred foods were also identified as influences on food choices and eating behavior. Conclusions: This study revealed opportunities for culturally tailored weight management interventions in older Hispanic/Latino adults with obesity. Clinical Trial Registry Number: NCT03978416 (ClinicalTrials.gov) [ABSTRACT FROM AUTHOR]

Published
2023
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50. Resensitizing daclatasvir-resistant hepatitis C variants by allosteric modulation of NS5A

Author

Sun, Jin-Hua, O'Boyle, II, Donald R., Fridell, Robert A., Langley, David R., Wang, Chunfu, Roberts, Susan B., Nower, Peter, Johnson, Benjamin M., Moulin, Frederic, Nophsker, Michelle J., Wang, Ying-Kai, Liu, Mengping, Rigat, Karen, Tu, Yong, Hewawasam, Piyasena, Kadow, John, Meanwell, Nicholas A., Cockett, Mark, Lemm, Julie A., Kramer, Melissa, and Belema, Makonen

Subjects
Phosphoproteins -- Health aspects, Hepatitis C -- Drug therapy, Drug sensitization -- Methods, Environmental issues, Science and technology, Zoology and wildlife conservation
Abstract

It is estimated that more than 170 million people are infected with hepatitis C virus (HCV) worldwide (1,2). Clinical trials have demonstrated that, for the first time in human history, [...]

Published
2015

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