Variation in human water turnover associated with environmental and lifestyle factors
Autor: | Yamada, Yosuke, Zhang, Xueying, Henderson, Mary E T, Sagayama, Hiroyuki, Pontzer, Herman, Watanabe, Daiki, Yoshida, Tsukasa, Kimura, Misaka, Ainslie, Philip N., Andersen, Lene Frost, Anderson, Liam J., Arab, Lenore, Baddou, Issad, Bedu-Addo, Kweku, Blaak, Ellen E., Blanc, Stephane, Bonomi, Alberto G., Bouten, Carlijn V C, Bovet, Pascal, Buchowski, Maciej S., Butte, Nancy F., Camps, Stefan G., 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, El Hamdouchi, Asmaa, 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 Christine, 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 C K, 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. |
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Přispěvatelé: | Cell-Matrix Interact. Cardiov. Tissue Reg., Humane Biologie, RS: NUTRIM - R1 - Obesity, diabetes and cardiovascular health, Nutrition and Movement Sciences, RS: NUTRIM - R3 - Respiratory & Age-related Health, FSE Campus Venlo, RS: FSE UCV |
Jazyk: | angličtina |
Rok vydání: | 2022 |
Předmět: |
Adult
Environmental characteristics Adolescent Economic factors Drinking Article Young Adult SDG 6 – Schoon water en sanitaire voorzieningen Pregnancy VDP::Matematikk og Naturvitenskap: 400::Basale biofag: 470 Faculty of Science Environmental factors 80 and over Humans Anthropometric factors Child Preschool Life Style Exercise Aged Aged 80 and over Multidisciplinary Water/metabolism Infant Newborn Infant Water Humidity Middle Aged Human water turnover Lifestyle Newborn Drinking/physiology Social Class Child Preschool Female SDG 6 - Clean Water and Sanitation |
Zdroj: | Yamada, Y, Zhang, X, Henderson, M E T, Sagayama, H, Pontzer, H, Watanabe, D, Yoshida, T, Kimura, M, Ainslie, P N, Sjödin, A M & International Atomic Energy Agency (IAEA) Doubly Labeled Water (DLW) Database Consortium§ 2022, ' Variation in human water turnover associated with environmental and lifestyle factors ', Science, vol. 378, no. 6622, pp. 909-915 . https://doi.org/10.1126/science.abm8668 Science Science, 378(6622), 909-915. American Association for the Advancement of Science (AAAS) Science, 378(6622), 909-915. American Association for the Advancement of Science |
ISSN: | 0036-8075 |
DOI: | 10.1126/science.abm8668 |
Popis: | 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 ( 2 H) 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. |
Databáze: | OpenAIRE |
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