Underhydration is associated with obesity, chronic diseases, and death within 3 to 6 years in the u.S. population aged 51–70 years

Nutrients

Volumn 12, Issue 4, 2020, Pages

  Stookey, Jodi D ^a   Kavouras, Stavros Α ^a   Suh, Hyungyu ^a   Lang, Florian ^b  

^a ARIZONA STATE UNIVERSITY   (United States)

^b UNIVERSITY OF TÜBINGEN   (Germany)

Author keywords

Chronic disease; Hydration; Mortality

Indexed keywords

BIOLOGICAL MARKER; CREATININE; GLUCOSE; HEMOGLOBIN; HIGH DENSITY LIPOPROTEIN CHOLESTEROL; SODIUM;

ADULT; AGED; ARTICLE; BLOOD PRESSURE; CALORIC INTAKE; CHRONIC DISEASE; CONTROLLED STUDY; DIASTOLIC BLOOD PRESSURE; DISEASE ASSOCIATION; ENZYME LINKED IMMUNOSORBENT ASSAY; FEMALE; FOLLOW UP; GLUCOSE BLOOD LEVEL; HOMEOSTASIS MODEL ASSESSMENT; HUMAN; MAJOR CLINICAL STUDY; MALE; MIDDLE AGED; OBESITY; ORAL GLUCOSE TOLERANCE TEST; PHYSICAL ACTIVITY; PREVALENCE; PROSPECTIVE STUDY; PUBLIC HEALTH; QUESTIONNAIRE; RISK FACTOR; SENSITIVITY ANALYSIS; SODIUM BLOOD LEVEL; SODIUM INTAKE; SODIUM URINE LEVEL; SYSTOLIC BLOOD PRESSURE; UNITED STATES; UREA NITROGEN BLOOD LEVEL; URINALYSIS; WAIST CIRCUMFERENCE; BLOOD; BODY WATER; COMPLICATION; DEHYDRATION; METABOLIC DISORDER; MORTALITY; PHYSIOLOGY;

AGED; BODY WATER; CHRONIC DISEASE; DEHYDRATION; HUMANS; MIDDLE AGED; OBESITY; SODIUM; UNITED STATES; WATER-ELECTROLYTE IMBALANCE;

EID: 85082792387     PISSN: None     EISSN: 20726643     Source Type: Journal    
DOI: 10.3390/nu12040905     Document Type: Article

References (110)

1. Stookey, J.D. Analysis of 2009–2012 nutrition health and examination survey (NHANES) data to estimate the median water intake associated with meeting hydration criteria for individuals aged 12–80 in the US population. Nutrients 2019, 11, E657, doi:10.3390/nu11030657.
2. Kavouras, S.A. Hydration, dehydration, underhydration, optimal hydration: Are we barking up the wrong tree? Eur. J. Nutr. 2019, 58, 471–473, doi:10.1007/s00394-018-01889-z.
3. Armstrong, L.E.; Johnson, E.C. Water intake, water balance, and the elusive daily water requirement. Nutrients 2018, 10, E1928, doi:10.3390/nu10121928.
4. Kavouras, S.A. Assessing hydration status. Curr. Opin. Clin. Nutr. Metab. Care 2002, 5, 519–524, doi:10.1097/00075197-200209000-00010.
5. Shirreffs, S.M. Markers of hydration status. Eur. J. Clin. Nutr. 2003, 57, S6–S9, doi:10.1038/sj.ejcn.1601895.
6. Muñoz, C.X.; Johnson, E.C.; Demartini, J.K.; Huggins, R.A.; Mckenzie, A.L.; Casa, D.J.; Maresh, C.M.; Armstrong, L.E. Assessment of hydration biomarkers including salivary osmolality during passive and active dehydration. Eur. J. Clin. Nutr. 2013, 67, 1257–1263, doi:10.1038/ejcn.2013.195.
7. Armstrong, L.E. Assessing Hydration Status: The Elusive Gold Standard. J. Am. Coll. Nutr. 2007, 26, 575S– 584S, doi:10.1080/07315724.2007.10719661.
8. Armstrong, L.E.; Johnson, E.C.; McKenzie, A.L.; Muñoz, C.X. An empirical method to determine inadequacy of dietary water. Nutrition 2016, 32, 79–82, doi:10.1016/j.nut.2015.07.013.
9. Stookey, J.D.; Pieper, C.F.; Cohen, H.J. Is the prevalence of dehydration among community-dwelling older adults really low? Informing current debate over the fluid recommendation for adults aged 70+years. Public Health Nutr. 2005, 8, 1275–1285, doi:10.1079/phn2005829.
10. Mohan, S.; Gu, S.; Parikh, A.; Radhakrishnan, J. Prevalence of hyponatremia and association with mortality: Results from NHANES. Am. J. Med. 2013, 126, 1127–1137, doi:10.1016/j.amjmed.2013.07.021.
11. Stookey, J.D.; Barclay, D.; Arieff, A.; Popkin, B.M. The altered fluid distribution in obesity may reflect plasma hypertonicity. Eur. J. Clin. Nutr. 2007, 61, 190–199, doi:10.1038/sj.ejcn.1602521.
12. Star, R.A. Hyperosmolar states. Am. J. Med. Sci. 1990, 300, 402–412.
13. Feig, P.U.; McCurdy, D.K. The hypertonic state. N. Engl. J. Med. 1977, 297, 1444–1454, doi:10.1056/NEJM197712292972608.
14. Vokes, T.P.; Aycinena, P.R.; Robertson, G.L. Effect of insulin on osmoregulation of vasopressin. Am. J. Physiol. Endocrinol. Metab. 1987, 15, E538–E548.
15. Yatabe, M.S.; Yatabe, J.; Yoneda, M. Salt sensitivity is associated with insulin resistance, sympathetic overactivity, and decreased suppression of circulating renin activity in lean patients with essential hypertension. Am. J. Clin. Nutr. 2010, 92, 77–82, doi:10.3945/ajcn.2010.30173.
16. Endre, T.; Mattiasson, I.; Berglund, G.; Hulthén, U.L. Insulin and renal sodium retention in hypertension-prone men. Hypertension 1994, 23, 313–319, doi:10.1161/01.HYP.23.3.313.
17. Rocchini, A.P.; Katch, V.; Kveselis, D.; Moorehead, C.; Martin, M.; Lampman, R.; Gregory, M. Insulin and renal sodium retention in obese adolescents. Hypertension 1989, 14, 367–374, doi:10.1161/01.HYP.14.4.367.
18. Tasevska, I.; Enhörning, S.; Christensson, A.; Persson, M.; Nilsson, P.M.; Melander, O. Increased levels of copeptin, a surrogate marker of arginine vasopressin, are associated with an increased risk of chronic kidney disease in a general population. Am. J. Nephrol. 2016, 44, 22–28, doi:10.1159/000447522.
19. Enhörning, S.; Wang, T.J.; Nilsson, P.M.; Almgren, P.; Hedblad, B.; Berglund, G.; Struck, J.; Morgenthaler, N.G.; Bergmann, A.; Lindholm, E.; et al. Plasma copeptin and the risk of diabetes mellitus. Circulation 2010, 121, 2102–2108, doi:10.1161/CIRCULATIONAHA.109.909663.
20. de Wardener, H.E.; He, F.J.; MacGregor, G.A. Plasma sodium and hypertension. Kidney Int. 2004, 66, 2454– 2466, doi:10.1111/j.1523-1755.2004.66018.x.
21. Han, S.W.; Tilea, A.; Gillespie, B.W.; Finkelstein, F.O.; Kiser, M.A.; Eisele, G.; Kotanko, P.; Levin, N.; Saran, R. Serum sodium levels and patient outcomes in an ambulatory clinic-based chronic kidney disease cohort. Am. J. Nephrol. 2015, 41, 200–209, doi:10.1159/000381193.
22. Nowak, K.L.; Chonchol, M.; Jovanovich, A.; You, Z.; Bates, J.; Foy, C.; Glasser, S.; Killeen, A.A.; Kostis, J.; Rodriguez, C.J.; et al. Serum Sodium and Pulse Pressure in SPRINT. Am. J. Hypertens. 2019, 32, 649–656, doi:10.1093/ajh/hpz055.
23. Cole, N.I.; Suckling, R.J.; Swift, P.A.; He, F.J.; MacGregor, G.A.; Hinton, W.; van Vlymen, J.; Hayward, N.; Jones, S.; de Lusignan, S. The association between serum sodium concentration, hypertension and primary cardiovascular events: A retrospective cohort study. J. Hum. Hypertens. 2019, 33, 69–77, doi:10.1038/s41371-018-0115-5.
24. Chmielewski, J.; Khalsa, D.D.; Carmody, J.B. Hyperosmolality, High Blood Pressure, and Decreased Estimated Glomerular Filtration Rate in US Adolescents, National Health and Nutrition Examination Survey 1999–2012. Nephron 2019, 142, 216–226, doi:10.1159/000497780.
25. Soltani, S.; Kolahdouz Mohammadi, R.; Shab-Bidar, S.; Vafa, M.; Salehi-Abargouei, A. Sodium status and the metabolic syndrome: A systematic review and meta-analysis of observational studies. Crit. Rev. Food Sci. Nutr. 2019, 59, 196–206, doi:10.1080/10408398.2017.1363710.
26. Jansen, L.T.; Suh, H.; Adams, J.D.; Sprong, C.A.; Seal, A.D.; Scott, D.M.; Butts, C.L.; Melander, O.; Kirkland, T.W.; Vanhaecke, T.; et al. Osmotic stimulation of vasopressin acutely impairs glucose regulation: A counterbalanced, crossover trial. Am. J. Clin. Nutr. 2019, 110, 1344–1352, doi:10.1093/ajcn/nqz236.
27. Keller, U.; Szinnai, G.; Bilz, S.; Berneis, K. Effects of changes in hydration on protein, glucose and lipid metabolism in man: Impact on health. Eur. J. Clin. Nutr. 2003, 57, S69–S74, doi:10.1038/sj.ejcn.1601904.
28. Berneis, K.; Ninnis, R.; Häussinger, D.; Keller, U. Effects of hyper-and hypoosmolality on whole body protein and glucose kinetics in humans. Am. J. Physiol. 1999, 276, E188–E195.
29. Lang, F.; Busch, G.L.; Ritter, M.; Lkl, H.V.; Waldegger, S.; Gulbins, E.; Ussinger, D.H. Functional Significance of Cell Volume Regulatory Mechanisms. Physiol. Rev. 1998, 78, 247–306.
30. Lang, F. Effect of Cell Hydration on Metabolism. Nestlé Nutr. Inst. Workshop Ser. 2011, 69, 115–130.
31. Burg, M.B.; Ferraris, J.D. Intracellular organic osmolytes: Function and regulation. J. Biol. Chem. 2008, 283, 7309–7313, doi:10.1074/jbc.R700042200.
32. Allen, M.D.; Springer, D.A.; Burg, M.B.; Boehm, M.; Dmitrieva, N.I. Suboptimal hydration remodels metabolism, promotes degenerative diseases, and shortens life. JCI Insight 2019, 4, 1–17, doi:10.1172/jci.insight.130949.
33. Stookey, J.D.; Pieper, C.F.; Cohen, H.J. Hypertonic Hyperglycemia Progresses to Diabetes Faster Than Normotonic Hyperglycemia. Eur. J. Endocrinol. 2004, 19, 935–944.
34. Enhörning, S.; Hedblad, B.; Nilsson, P.M.; Engström, G.; Melander, O. Copeptin is an independent predictor of diabetic heart disease and death. Am. Heart J. 2015, 169, 549–556, doi:10.1016/j.ahj.2014.11.020.
35. Girardeau, Y.; Jannot, A.S.; Chatellier, G.; Saint-Jean, O. Association between borderline dysnatremia and mortality insight into a new data mining approach. BMC Med. Inf. Decis. Mak. 2017, 17, 1–10, doi:10.1186/s12911-017-0549-7.
36. Darmon, M.; Diconne, E.; Souweine, B.; Ruckly, S.; Adrie, C.; Azoulay, E.; Clec’h, C.; Garrouste-Orgeas, M.; Schwebel, C.; Goldgran-Toledano, D. et al. Prognostic consequences of borderline dysnatremia: Pay attention to minimal serum sodium change. Crit. Care 2013, 17, R12, doi:10.1186/cc11937.
37. Yan, J.J.; Lu, Y.; Kuai, Z.P.; Yong, Y.H. Predictive value of plasma copeptin level for the risk and mortality of heart failure: A meta-analysis. J. Cell. Mol. Med. 2017, 21, 1815–1825, doi:10.1111/jcmm.13102.
38. Stookey, J.D.; Purser, J.L.; Pieper, C.F.; Cohen, H.J. Plasma hypertonicity: Another marker of frailty? J. Am. Geriatr. Soc. 2004, 52, 1313–1320, doi:10.1111/j.1532-5415.2004.52361.x.
39. Bhalla, A.; Sankaralingam, S.; Dundas, R.; Swaminathan, R.; Wolfe, C.D.A.; Rudd, A.G. Influence of raised plasma osmolality on clinical outcome after acute stroke. Stroke 2000, 31, 2043–2048.
40. Matsue, Y.; Yoshioka, K.; Suzuki, M.; Torii, S.; Yamaguchi, S.; Fukamizu, S.; Ono, Y.; Fujii, H.; Kitai, T.; Nishioka, T.; et al. Prognostic importance of sodium level trajectory in acute heart failure. Heart Vessels 2017, 32, 1498–1505, doi:10.1007/s00380-017-1020-5.
41. Benzon, H.A.; Bobrowski, A.; Suresh, S.; Wasson, N.R.; Cheon, E.C. Impact of preoperative hyponatraemia on paediatric perioperative mortality. Br. J. Anaesth. 2019, 123, 618–626, doi:10.1016/j.bja.2019.07.024.
42. Gao, X.P.; Zheng, C.F.; Liao, M.Q.; He, H.; Liu, Y.H.; Jing, C.X.; Zeng, F.F.; Chen, Q.S. Admission serum sodium and potassium levels predict survival among critically ill patients with acute kidney injury: A cohort study. BMC Nephrol. 2019, 20, 1–10, doi:10.1186/s12882-019-1505-9.
43. He, X.; Liu, C.; Chen, Y.; He, J.; Dong, Y. Risk of Cardiovascular Mortality Associated With Serum Sodium and Chloride in the General Population. Can. J. Cardiol. 2018, 34, 999–1003, doi:10.1016/j.cjca.2018.03.013.
44. Chen, C.M.; Lee, M.; Yang, Y.H.; Huang, S.S.; Lin, C.H. Association between Clinical and Laboratory Markers and 5-year Mortality among Patients with Stroke. Sci. Rep. 2019, 9, 1–10, doi:10.1038/s41598-019-47975-y.
45. Hu, J.; Wang, Y.; Geng, X.; Chen, R.; Zhang, P.; Lin, J.; Teng, J.; Zhang, X.; Ding, X. Dysnatremia is an independent indicator of mortality in hospitalized patients. Med. Sci. Monit. 2017, 23, 2408–2425, doi:10.12659/MSM.902032.
46. National Center for Health Statistics . Linked Mortality Files. In National Death Index; Centers for Disease Control and Prevention: Atlanta, GA, USA, 2020. Available online: https://www.cdc.gov/nchs/data-linkage/mortality.htm (accessed on 10 December 2019).
47. National Center for Health Statistics. National Health and Nutrition Examination Survey; Centers for Disease Control and Prevention: Atlanta, GA, USA, 2013. Available online: https://www.cdc.gov/nchs/nhanes/index.htm (accessed on 10 December 2019).
48. National Center for Health Statistics. National Health and Nutrition Examination Survey (NHANES) Laboratory Procedures Manual; Centers for Disease Control and Prevention: Atlanta, GA, USA, 2011. Available online: https://www.cdc.gov/nchs/data/nhanes/nhanes_11_12/(accessed on 10 December 2019).
49. National Center for Health Statistics. National Health and Nutrition Examination Survey (NHANES) 2009– 2010 Data Documentation, Codebook, and Frequencies; Centers for Disease Control and Prevention: Atlanta, GA, USA, 2011. Available online: https://wwwn.cdc.gov/nchs/nhanes/2009-2010/UCFLOW (accessed on 10 December 2019).
50. National Center for Health Statistics. National Health and Nutrition Examination Survey 2009–2010 Data Documentation, Codebook, and Frequencies. In Standard Biochemistry Profile (BIOPRO_F) Data File; Centers for Disease Control and Prevention: Atlanta, GA, USA, 2011. Available online: https://wwwn.cdc.gov/nchs/nhanes/2009-2010/BIOPRO_F.htm (accessed on 12 January 2019).
51. National Center for Health Statistics. National Health and Nutrition Examination Survey 2011–2012 Data Documentation, Codebook, and Frequencies Standard Biochemistry Profile (BIOPRO_G) Data File; Centers for Disease Control and Prevention: Atlanta, GA, USA, 2013. Available online: https://wwwn.cdc.gov/nchs/nhanes/2011-2012/BIOPRO_G.htm (accessed on 12 January 2019).
52. National Center for Health Statistics. Laboratory Procedure Manual, Urine Osmolality; Centers for Disease Control and Prevention: Atlanta, GA, USA, 2010. Available online: https://wwwn.cdc.gov/nchs/data/nhanes/2009-2010/labmethods/UCOSMO_F_met.pdf (accessed on 10 December 2019).
53. Spasovski, G.; Vanholder, R.; Allolio, B.; Annane, D.; Ball, S.; Bichet, D.; Decaux, G.; Fenske, W.; Hoorn, E.; Ichai, C.; et al. Clinical practice guideline on diagnosis and treatment of hyponatraemia. Intensive Care Med. 2014, 40, 320–331, doi:10.1007/s00134-014-3210-2.
54. Wilczynski, C.; Staros, E.B. Urine Osmolality. MedScape. 2014. Available online: https://emedicine.medscape.com/article/2088250-overview (accessed on 10 December 2019).
55. Cheuvront, S.N.; Kenefick, R.W. Am I Drinking Enough? Yes, No, and Maybe. J. Am. Coll. Nutr. 2016, 35, 185–192, doi:10.1080/07315724.2015.1067872.
56. EFSA Panel on Dietetic Products Nutrition and Allergies (NDA). Scientific Opinion on Dietary reference values for water. EFSA J. 2010, 8, 1459, doi:10.2903/j.efsa.2010.1459.
57. Perrier, E.T.; Buendia-Jimenez, I.; Vecchio, M.; Armstrong, L.E.; Tack, I.; Klein, A. Twenty-four-hour urine osmolality as a physiological index of adequate water intake. Dis. Markers 2015, 2015, doi:10.1155/2015/231063.
58. Parretti, H.M.; Aveyard, P.; Blannin, A.; Clifford, S.J.; Coleman, S.J.; Roalfe, A.; Daley, A.J. Efficacy of water preloading before main meals as a strategy for weight loss in primary care patients with obesity: RCT. Obesity 2015, 23, 1785–1791, doi:10.1002/oby.21167.
59. Stookey, J.D.; Constant, F.; Popkin, B.M.; Gardner, C.D. Drinking water is associated with weight loss in overweight dieting women independent of diet and activity. Obesity 2008, 16, 2481–2488, doi:10.1038/oby.2008.409.
60. Stookey, J.D.; Del Toro, R.; Hamer, J.; Medina, A.; Higa, A.; Ng, V.; TinajeroDeck, L.; Juarez, L. Qualitative and/or quantitative drinking water recommendations for pediatric obesity treatment. J. Obes. Weight Loss Ther. 2014, 4, 232, doi:10.4172/2165-7904.1000232.
61. Robertson, G.L.; Shelton, R.L.; Athar, S. The osmoregulation of vasopressin. Kidney Int. 1976, 10, 25–37, doi:10.1038/ki.1976.76.
62. Division of Nutrition Physical Activity and Obesity. Assessing Your Weight; Centers for Disease Control and Prevention: Atlanta, GA, USA, 2015. Available online: https://www.cdc.gov/healthyweight/assessing/index.html (accessed on 10 December 2019).
63. Maki, K.C.; Fulgoni, V.L.; Keast, D.R.; Park, K.M.; Rubin, M.R. Vitamin D intake and status are associated with lower prevalence of metabolic syndrome in US adults: An analysis of NHANES 2003–2006. Metab. Syndr. Relat. Disord. 2012, 10, 363–372, doi:10.1089/met.2012.0020.
64. American Diabetes Association (ADA). 2. Classification and diagnosis of diabetes. Diabetes Care 2016, 39, S13–S22, doi:10.2337/dc16-S005.
65. National Center for Health Statistics. National Health and Nutrition Examination Survey 2011–2012 Data Documentation, Codebook, and Frequencies; Glycohemoglobin (GHB_G), Data File: GHB_G.xpt; Centers for Disease Control and Prevention: Atlanta, GA, USA, 2013. Available online: https://wwwn.cdc.gov/nchs/nhanes/2011-2012/GHB_G.htm (accessed on 10 December 2019).
66. Jellinger, P.S. American Association of Clinical Endocrinologists/American College of Endocrinology Management of Dyslipidemia and Prevention of Cardiovascular Disease Clinical Practice Guidelines. Diabetes Spectr. 2018, 31, 234–245, doi:10.2337/ds18-0009.
67. National Heart Lung and Blood Institute (NHLBI). Integrated Guidelines for Cardiovascular Health and Risk Reduction in Children and Adolescents: Summary Report; NHLBI: Bethesda, MD, USA, 2012. Available online: https://www.nhlbi.nih.gov/node/80308 (accessed on 10 December 2019).
68. American Heart Association. Life’s Simple 7. Available online: https://playbook.heart.org/lifes-simple-7/(accessed on 10 December 2019).
69. National Center for Health Statistics. National Health and Nutrition Examination Survey 2009–2010 Data Documentation, Codebook, and Frequencies; Blood Pressure Questionnaire; Centers for Disease Control and Prevention: Atlanta, GA, USA, 2011. Available online: https://wwwn.cdc.gov/nchs/data/nhanes/2011-2012/questionnaires/bpq.pdf (accessed on 10 December 2019).
70. National Heart Lung and Blood Institute (NHLBI). ATP III Guidelines At-A-Glance Quick Desk Reference. In National Cholesterol Education Program; NHLBI: Bethesda, MD, USA, 2011. Available online: https://www.nhlbi.nih.gov/files/docs/guidelines/atglance.pdf, doi:10.1016/j.bbrc.2005.02.046 (accessed on 10 December 2019).
71. Institute of Medicine. Dietary Reference Intakes for water, potassium, sodium, chloride, and sulfate. Washington, D.C., National Academies Press. 2005, 73–185.
72. National Center for Health Statistics. National Health and Nutrition Examination Survey 2011–2012 Data Documentation, Codebook, and Frequencies; Prescription Medications (RXQ_RX_G) Data File: RXQ_RX_G.xpt; Centers for Disease Control and Prevention: Atlanta, GA, USA, 2014. Available online: https://wwwn.cdc.gov/nchs/nhanes/2011-2012/RXQ_RX_G.htm (accessed on 10 December 2019).
73. National Center for Health Statistics. National Health and Nutrition Examination Survey; Module 3: Weighting; Centers for Disease Control and Prevention: Atlanta, GA, USA, 2018. Available online: https://wwwn.cdc.gov/nchs/nhanes/tutorials/module3.aspx (accessed on 10 December 2019).
74. National Center for Health Statistics. National Health and Nutrition Examination Survey 2009–2010 Data Documentation, Codebook, and Frequencies. Smoking—Cigarette Use (SMQ_F); Data File: SMQ_F.xpt; Centers for Disease Control and Prevention: Atlanta, GA, USA, 2011. Available online: https://wwwn.cdc.gov/Nchs/Nhanes/2009-2010/SMQ_F.htm#SMQ040 (accessed on 10 December 2019).
75. National Center for Health Statistics. National Health and Nutrition Examination Survey 2011–2012 Data Documentation, Codebook, and Frequencies Smoking—Cigarette Use (SMQ_G); Data File: SMQ_G.xpt; Centers for Disease Control and Prevention: Atlanta, GA, USA, 2013. Available online: https://wwwn.cdc.gov/nchs/nhanes/2011-2012/SMQ_G.htm (accessed on 10 December 2019).
76. National Center for Health Statistics. National Health and Nutrition Examination Survey 2009–2010 Data Documentation, Codebook, and Frequencies; Physical Activity (PAQ_F) Data File: PAQ_F.xpt; Centers for Disease Control and Prevention: Atlanta, GA, USA, 2011. Available online: https://wwwn.cdc.gov/Nchs/Nhanes/2009-2010/PAQ_F.htm (accessed on 10 December 2019).
77. National Center for Health Statistics. National Health and Nutrition Examination Survey 2011–2012 Data Documentation, Codebook, and Frequencies; Physical Activity (PAQ_G) Data File: PAQ_G.xpt; Centers for Disease Control and Prevention: Atlanta, GA, USA, 2013. Available online: https://wwwn.cdc.gov/Nchs/Nhanes/2011-2012/PAQ_G.htm (accessed on 10 December 2019).
78. National Center for Health Statistics. National Health and Nutrition Examination Survey 2011–2012 Data Documentation, Codebook, and Frequencies; Dietary Interview Component; Centers for Disease Control and Prevention: Atlanta, GA, USA, 2009. Available online: https://wwwn.cdc.gov/nchs/data/nhanes/2009-2010/questionnaires/dietaryrecall_f.pdf (accessed on 10 December 2019).
79. National Center for Health Statistics. National Health and Nutrition Examination Survey 2011–2012 Data Documentation, Codebook, and Frequencies; Dietary Interview Component; Centers for Disease Control and Prevention: Atlanta, GA, USA, 2011. Available online: https://wwwn.cdc.gov/nchs/data/nhanes/2011-2012/questionnaires/dietary_post_recall_qs_2011.pdf (accessed on 10 December 2019).
80. Lindquist, K. How Can I Estimate Relative Risk Using Glm for Common Outcomes in Cohort Studies; Stata FAQ; UCLA Institute for Digital Research and Education: Los Angeles, CA, USA, 2008. Available online: https://stats.idre.ucla.edu/stata/faq/how-can-i-estimate-relative-risk-using-glm-for-common-outcomes-in-cohort-studies/(accessed on 10 December 2019).
81. Chalise, P.; Chicken, E.; McGee, D. Time Scales in Epidemiological Analysis: An Empirical Comparison. Available online: https://arxiv.org/ftp/arxiv/papers/1502/1502.02534.pdf (accessed on 10 December 2019).
82. Hooper, L.; Abdelhamid, A.; Ali, A.; Bunn, D.K.; Jennings, A.; John, W.G.; Kerry, S.; Linder, G.; Pfortmueller, C.A.; Sjostrand, F.; et al. Diagnostic accuracy of calculated serum osmolarity to predict dehydration in older people: Adding value to pathology laboratory reports. BMJ Open 2015, 5, e008846, doi:10.1136/bmjopen-2015-008846.
83. Cheuvront, S.N.; Kenefick, R.W.; Charkoudian, N.; Sawka, M.N. Physiologic basis for understanding quantitative dehydration assessment. Am. J. Clin. Nutr. 2013, 97, 455–462, doi:10.3945/ajcn.l.
84. Hays, S.M.; Aylward, L.L.; Blount, B.C. Variation in urinary flow rates according to demographic characteristics and body mass index in NHANES: Potential confounding of associations between health outcomes and urinary biomarker concentrations. Environ. Health Perspect. 2015, 123, 293–300, doi:10.1289/ehp.1408944.
85. Montain, S.J.; Coyle, E.F. Influence of graded dehydration on hyperthermia and cardiovascular drift during exercise. J. Appl. Physiol. 1992, 73, 1340–1350, doi:10.1152/jappl.1992.73.4.1340.
86. Perrier, E.T.; Armstrong, L.E.; Daudon, M.; Kavouras, S.; Lafontan, M.; Lang, F.; Péronnet, F.; Stookey, J.D.; Tack, I.; Klein, A. From state to process: Defining hydration. Obes. Facts 2014, 7, 6–12, doi:10.1159/000360611.
87. Zerbe, R.L.; Miller, J.Z.; Robertson, G.L. The reproducibility and heritability of individual differences in osmoregulatory function in normal human subjects. J. Lab. Clin. Med. 1991, 117, 51–59.
88. Wannamethee, S.G.; Shaper, A.G.; Lennon, L.; Papacosta, O.; Whincup, P. Mild hyponatremia, hypernatremia and incident cardiovascular disease and mortality in older men: A population-based cohort study. Nutr. Metab. Cardiovasc. Dis. 2016, 26, 12–19.
89. Kant, A.K.; Graubard, B.I. A prospective study of water intake and subsequent risk of all-cause mortality in a national cohort. Am. J. Clin. Nutr. 2017, 105, 212–220, doi:10.3945/ajcn.116.143826.
90. Perrier, E.; Demazières, A.; Girard, N.; Pross, N.; Osbild, D.; Metzger, D.; Guelinckx, I.; Klein, A. Circadian variation and responsiveness of hydration biomarkers to changes in daily water intake. Eur. J. Appl. Physiol. 2013, 113, 2143–2151, doi:10.1007/s00421-013-2649-0.
91. Stookey, J.D.; Klein, A.; Hamer, J.; Chi, C.; Higa, A.; Ng, V.; Arieff, A.; Kuypers, F.A.; Larkin, S.; Perrier, E.; et al. RBC deformability and amino acid concentrations after hypo-osmotic challenge may reflect chronic cell hydration status in healthy young men. Physiol. Rep. 2013, 1, e00117.
92. Braun, M.M.; Barstow, C.H.; Pyzocha, N.J. Diagnosis and management of sodium disorders: Hyponatremia and Hypernatremia. Am. Fam. Physician 2015, 91, 299–307.
93. Pearl, J.; Mackenzie, D. The Book of Why: The New Science of Cause and Effect; Hachette Book Group: New York, NY, USA, 2018.
94. Stookey, J.D. Negative, null and beneficial effects of drinking water on energy intake, energy expenditure, fat oxidation and weight change in randomized trials: A qualitative review. Nutrients 2016, 8, E19, doi:10.3390/nu8010019.
95. Hellerstein, M.K. No common energy currency: De novo lipogenesis as the road less traveled. Am J Clin Nutr. 2001, 74, 707–708, doi:10.1093/ajcn/74.6.707.
96. McDevitt, R.M.; Bott, S.J.; Harding, M.; Coward, A.W.; Bluck, L.J.; Prentice, A.M. De novo lipogenesis during controlled overfeeding with su-crose or glucose in lean and obese women. Am. J. Clin. Nutr. 2001, 74, 737–746.
97. Cook, N.R.; Appel, L.J.; Whelton, P.K. Sodium Intake and All-Cause Mortality over 20 Years in the Trials of Hypertension Prevention. J. Am. Coll. Cardiol. 2016, 68, 1609–1617.
98. Enhorning, S.; Brunkwall, L.; Tasevska, I.; Ericson, U.; Persson Tholin, J.; Persson, M.; Lemetais, G.; Vanhaecke, T.; Dolci, A.; Perrier, E.T.; et al. Water Supplementation Reduces Copeptin and Plasma Glucose in Adults With High Copeptin: The H2O Metabolism Pilot Study. J. Clin. Endocrinol. Metab. 2019, 104, 1917– 1925, doi:10.1210/jc.2018-02195.
99. Roussel, R.; Fezeu, L.; Bouby, N.; Balkau, B.; Lantieri, O.; Alhenc-Gelas, F.; Marre, M.; Bankir, L. Low water intake and risk for new-onset hyperglycemia. Diabetes Care 2011, 34, 2551–2554, doi:10.2337/dc11-0652.
100. Hernández-Cordero, S.; Barquera, S.; Rodríguez-Ramírez, S.; Villanueva-Borbolla, M.A.; González de Cossio, T.; Dommarco, J.R.; Popkin, B. Substituting water for sugar-sweetened beverages reduces circulating triglycerides and the prevalence of metabolic syndrome in obese but not in overweight Mexican women in a randomized controlled trial. J. Nutr. 2014, 144, 1742–1752.
101. Chan, J.; Knutsen, S.F.; Blix, G.G.; Lee, J.W.; Fraser, G.E. Water, other fluids, and fatal coronary heart disease: The Adventist Health Study. Am. J. Epidemiol. 2002, 155, 827–833.
102. Kimura, T.; Sashimoto, Y.; Tanaka, M.; Asano, M.; Yamazaki, M.; Oda, Y.; Toda, H.; Marunaka, Y.; Nakamura, N.; Fukui, M. Sodium chloride difference and metabolic syndrome: A population based large scale cohort study. Intern. Med. 2016, 55, 3085–3090.
103. Lang, F.; Guelinckx, I.; Lemetais, G.; Melander, O. Two Liters a Day Keep the Doctor Away? Considerations on the Pathophysiology of Suboptimal Fluid Intake in the Common Population. Kidney Blood Press Res. 2017, 42, 483–494, doi:10.1159/000479640.
104. Lang, F.; Böhmer, C.; Palmada, M.; Seebohm, G.; Strutz-Seebohm, N.; Vallon, V. (Patho)physiological significance of the serum-and glucocorticoid-inducible kinase isoforms. Physiol. Rev. 2006, 86, 1151–1178, doi:10.1152/physrev.00050.2005.
105. Enhörning, S.; Struck, J.; Wirfält, E.; Hedblad, B.; Morgenthaler, N.G.; Melander, O. Plasma copeptin, a unifying factor behind the metabolic syndrome. J. Clin. Endocrinol. Metab. 2011, 96, 1065–1072, doi:10.1210/jc.2010-2981.
106. Melander, O. Vasopressin, from regulator to disease predictor for diabetes and cardiometabolic risk. Ann. Nutr. Metab. 2016, 68, 24–28, doi:10.1159/000446201.
107. Pikkemaat, M.; Melander, O.; Bengtsson Boström, K. Association between copeptin and declining glomerular filtration rate in people with newly diagnosed diabetes. The Skaraborg Diabetes Register. J. Diabetes Complicat. 2015, 29, 1062–1065, doi:10.1016/j.jdiacomp.2015.07.006.
108. Belting, M.; Almgren, P.; Manjer, J.; Hedblad, B.; Struck, J.; Wang, T.J.; Bergmann, A.; Melander, O. Vasoactive peptides with angiogenesis-regulating activity predict cancer risk in males. Cancer Epidemiol. Biomark. Prev. 2012, 21, 513–522, doi:10.1158/1055-9965.EPI-11-0840.
109. Siegenthaler, J.; Walti, C.; Urwyler, S.A.; Schuetz, P.; Christ-Crain, M. Copeptin concentrations during psychological stress: The PsyCo study. Eur. J. Endocrinol. 2014, 171, 737–742, doi:10.1530/EJE-14-0405.
110. Urwyler, S.A.; Schuetz, P.; Sailer, C.; Christ-Crain, M. Copeptin as a stress marker prior and after a written examination--the CoEXAM study. Stress 2015, 18, 134–137, doi:10.3109/10253890.2014.993966.