Interdependency of food and water intake in humans

Engell, Dianne

doi:10.1016/0195-6663(88)90064-5

Cited by 81 publications

(60 citation statements)

References 27 publications

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“…Beverage intake in one group was restricted for 48 h to 43% of intake compared to the beverage intake in the ad libitum condition. Subjects in the fluid-restriction group voluntary restricted their food intake by about 37%, indicating that appetite and food intake were decreased as the intensity of thirst, and correspondingly dehydration, increased (Engell, 1988). This finding matches the common mammalian response to dehydration, that is an inhibition of food ingestion, the so-called dehydration anorexia (Booth and Ramsay, 1991).…”

Section: Discussionsupporting

confidence: 59%

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Relation between hydration status in children and their dietary profile – results from the DONALD study

et al. 2007

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Objective: To describe associations between hydration status and dietary behaviour in children, as current research indicates that hydration status is influenced by nutrition vice versa, hydration status may influence dietary behaviour. Design: Cross-sectional analyses of data from the Dortmund Nutritional and Anthropometric Longitudinally Designed Study, (DONALD) using 24-h urine samples to determine the hydration status and 3-day weighed food records to describe the dietary profile of the children. Setting: Secondary analyses of data from an observational study. Subjects: A group of 4-11 year old children living in Dortmund, Germany; N ¼ 717. Methods: Hydration status was determined by calculating the 'free water reserve', using analyses of the 24-h urine samples. Nutrient intake per day was calculated from the 3-day weighed food records. Children were categorized into groups of hydration status and analysed for significant differences in their dietary profile. Results: Children in the highest group of the hydration status had significant higher total water intake, lower energy density of the diet and a lower proportion of metabolic water compared to children in the lowest group of the hydration status. In addition, analyses showed -although not significant in all subgroups -that better hydrated children consumed more water from beverages and water-supplying foods and less energy from fat. Conclusions: Euhydrated children, that are children in the highest group of hydration status, had a more preferable dietary profile than children at risk of insufficient hydration. Sponsorship:

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Section: Discussionsupporting

confidence: 59%

“…On the other hand, enhanced fluid restriction was found to reduce food intake (Engell, 1988). These results indicate that water intake might have a relevant effect on energy expenditure and/or energy intake, both important determinants of food intake.…”

Section: Introductionmentioning

confidence: 72%

Relation between hydration status in children and their dietary profile – results from the DONALD study

et al. 2007

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“…Our study cannot deduce whether a higher energy density or sodium content of foods lead to selection of energy-containing beverages or vice versa. Given the evidence of a direct association between eating and drinking (15)(16)(17)(18), as well as salt and 1 Estimates are adjusted means 6 SEs from multiple linear or logistic regression models with each variable in the table as a continuous or dichotomous dependent variable. The independent variables included age (continuous), race-ethnicity (non-Hispanic white, non-Hispanic black, Mexican American, or all others), years of education (,12 y, 12 y, some college, or $college), family poverty income ratio (,130%, 130-349%, or $350%), recalled day of intake (Monday-Thursday or Friday-Sunday), month of Mobile Examination Center exam (November-April or May-October), BMI (in kg/m 2 ; ,25, 25-29.9, or $30), any self-reported recreational activity (yes or no), smoking status (never, former, or current smoker), any self-reported chronic disease (yes or no), and survey cycle (2003-2004, 2005-2006, or 2007-2008).…”

Section: Discussionmentioning

confidence: 99%

“…Differences in cognitive, orosensory, gastric, and intestinal phase processes and endocrine responses and metabolism likely account for the differential appetitive responses to beverage compared with solid-food forms (9)(10)(11)(12)(13)(14). Finally, although the nature of the available evidence cannot be used to infer causality, a direct association between eating and drinking has been documented (15)(16)(17)(18).…”

Section: Introductionmentioning

confidence: 99%

Association of food form with self-reported 24-h energy intake and meal patterns in US adults: NHANES 2003–2008

Kant¹,

Graubard²,

Mattes³

2012

The American Journal of Clinical Nutrition

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Background: Laboratory studies suggest that food form (beverages compared with solid foods) evokes behavioral and physiologic responses that modify short-term appetite and food intake. Beverage energy may be less satiating and poorly compensated, which leads to higher energy intake. Objective: We examined associations between 24-h energy consumed in beverages and a variety of meal and dietary attributes to quantify the contribution of beverage consumption to the energy content of diets in free-living individuals consuming their selfselected diets. Design: We used dietary recall data for adults (n = 13,704) in NHANES 2003NHANES -2008 to examine the multiple covariate-adjusted associations between 24-h energy from beverages and nonbeverages and associations between beverage intake, eating behaviors, and the energy density of beverage and nonbeverage foods. Results: In the highest tertile of 24-h beverage energy intake, beverages provided .30% of energy. Total 24-h energy and nonbeverage energy consumption and energy density (kcal/g) of both beverage and nonbeverage foods increased with increasing energy from beverages (P , 0.0001). With increasing 24-h beverage energy consumption, the reported frequency of all, snack, and beverage-only ingestive episodes and length of the ingestive period increased, whereas the percentage of energy from main meals decreased (P , 0.0001). Conclusions: Higher 24-h beverage energy intake was related to higher energy intake from nonbeverage foods, quality of food selections, and distribution of 24-h energy into main meal and snack episodes. Moderation of beverage-only ingestive episodes and curtailing the length of the ingestion period may hold potential to lower uncompensated beverage energy consumption in the US population.Am J Clin Nutr 2012;96:1369-78.

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“…Shirreffs et al (2004) reported a reduction in energy intake with 37 h of complete fluid restriction compared to when fluids were provided ad-libitum. Similarly, Engell (1988) reported a reduction in energy intake during 6 meals over 48 h when fluid was restricted at meal times. In contrast, two recent studies (Kelly et al, 2012;Corney et al, 2015) observed no difference in ad-libitum energy intake between euhydrated and hypohydrated (2-3% body mass loss) conditions, with hypohydration induced using a combination of exercise and fluid restriction.…”

Section: Introductionmentioning

confidence: 99%

The effect of hydration status on appetite and energy intake

Corney

Sunderland

James

2014

Journal of Sports Sciences

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This study investigated the effects of hydration status and fluid availability on appetite and energy intake. Sixteen males completed four 24 h trials, visiting the laboratory overnight fasted on two consecutive days. Standardised foods were provided during the 24 h and on day two an ad-libitum semi-solid porridge breakfast was provided. Water intake during the 24 h (0 or 40 mL•kg -1 ) and fluid provision during the ad-libitum breakfast were manipulated so subjects were euhydrated with (EU-F) and without fluid (EU-NF) available at breakfast; and hypohydrated with (HYPO-F) and without fluid (HYPO-NF) available at breakfast. Blood samples (0 and 24 h), urine samples (0-24 h) and subjective responses (0, 24 and 24.5 h) were collected. HYPO trials decreased body mass by ~1.8%. Serum and urine osmolality increased and plasma volume decreased during HYPO trials (P<0.001). Total urine output was greater during EU than HYPO trials (P<0.001). Ad-libitum energy intake was not different between trials: 2658 (938) kJ (EU-F), 2353 (643) kJ (EU-NF),2295 (529) kJ (HYPO-F), 2414 (954) kJ (HYPO-NF), (P=0.131). Fluid intake was ~200 mL greater during HYPO-F than EU-F (P<0.01). There was an interaction effect for thirst (P<0.001), but not hunger or fullness. These results demonstrate that mild hypohydration produced by inadequate fluid intake and fluid availability during eating does not influence ad-libitum energy intake of a semi-solid breakfast, at least in healthy young males.3

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Interdependency of food and water intake in humans

Cited by 81 publications

References 27 publications

Relation between hydration status in children and their dietary profile – results from the DONALD study

Relation between hydration status in children and their dietary profile – results from the DONALD study

Association of food form with self-reported 24-h energy intake and meal patterns in US adults: NHANES 2003–2008

The effect of hydration status on appetite and energy intake

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