| Literature DB >> 30609670 |
DeAnn Liska1, Eunice Mah2, Tristin Brisbois3, Pamela L Barrios4, Lindsay B Baker5, Lawrence L Spriet6.
Abstract
Although adequate hydration is essential for health, little attention has been paid to the effects of hydration among the generally healthy population. This narrative review presents the state of the science on the role of hydration in health in the general population, specifically in skin health, neurological function (i.e., cognition, mood, and headache), gastrointestinal and renal functions, and body weight and composition. There is a growing body of evidence that supports the importance of adequate hydration in maintaining proper health, especially with regard to cognition, kidney stone risk, and weight management. However, the evidence is largely associative and lacks consistency, and the number of randomized trials is limited. Additionally, there are major gaps in knowledge related to health outcomes due to small variations in hydration status, the influence of sex and sex hormones, and age, especially in older adults and children.Entities:
Keywords: body weight; cognition; constipation; dehydration; fluid; headache; kidney; mood; skin; systematic review; water
Mesh:
Substances:
Year: 2019 PMID: 30609670 PMCID: PMC6356561 DOI: 10.3390/nu11010070
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 5.717
Summary of key hydration reviews.
| Citation | Review Type/ | Description | Key Findings/ |
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| Akdeniz et al., 2018 [ | Systematic review |
Assessed fluid intake and skin hydration and/or barrier function. Included human intervention studies published through 2016. Met PRISMA reporting criteria except for absence of explicit statement of questions being addressed. Risk of bias for each study assessed using Cochrane Risk of Bias tool. 5 intervention studies included. |
Additional dietary water intake is associated with increased skin hydration and reduced skin dryness. Evidence is weak overall in terms of quantity and methodological quality and the clinical relevance is unclear. |
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| Benton and Young, 2015 [ | Narrative review |
Assessed relationship of hydration and mood and/or cognition. Information on search strategy, selection process, and data extraction were not provided. 30 intervention studies included. |
Data consistently show a reduction of >2% in body mass due to dehydration results in effect on mood, fatigue, and alertness. Effects on cognition have been less consistent. Only a few studies have looked at females, and due to the effect of sex hormones on kidney function, this is a gap in knowledge. Four intervention trials on cognition in children show an effect of hydration. Lack of studies in sedentary adults living in temperate climates, as well as older adults. |
| Masento et al., 2014 [ | Narrative review |
Assessed relationship of hydration and cognition. Search strategy not provided in full detail and no information on selection process and data extraction were provided. 22 intervention and 4 observational (prospective cohort and cross-sectional) studies included. |
Data suggests hydration is important for supporting cognition and mood. Hydration is particularly important in those with poor fluid regulation, which includes children and elderly. Challenges in quantifying effects across studies include a lack of standardized approaches to assessing cognition, as well as difficulties in assessing hydration state. |
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| Cheungpasitporn et al., 2016 [ | Systematic review/Meta-analysis |
Assessed fluid intake and kidney stones, as well as adherence and safety of high fluid intake to prevent kidney stones. Included RCTs and observational studies published from 1980 through 2014. Met PRISMA reporting criteria except for absence of explicit statement of questions being addressed. Risk of bias for each study assessed using Jadad score. 2 RCT, 6 prospective cohort, and 1 cross-sectional studies included. |
Significant association between high fluid intake and a lower risk of incident kidney stones based on pooled risk ratio (RR) for RCT only [0.40 (95% CI 0.20–0.79)] and observational studies only [0.49 (95% CI 0.34–0.71)]. A subgroup analysis found that high fluid intake was associated with decreased kidney stone risk in both men [RR 0.67 (95% CI 0.58–0.79)] and women [RR 0.65 (95% CI 0.56–0.76)]. RCTs were graded as low-quality and observational studies were graded as moderately high, with detectable heterogeneity among observational studies. |
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| Boilesen et al., 2017 [ | Narrative review |
Assessed the role of water and fluid intake in the prevention or treatment of functional intestinal constipation in children and adolescents. Information on search strategy, selection process, and data extraction provided, albeit not in full detail. Included epidemiological and clinical studies published from 1966 through 2016. 5 intervention, 5 cross-sectional, and 1 case-control studies included. |
Studies with a sample of the general population suggest that a lower intake of water and/or fluids is associated with intestinal constipation; however, those with existing constipation did not show an advantage of greater fluid intake. |
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| Stookey, 2016 [ | Qualitative review |
Assessed totality of evidence on hydration and weight-related outcomes. Included human intervention studies published through 2014. Search strategy not provided in full detail but selection process and data extraction were fully explained. 134 RCT included on hydration and energy intake, energy expenditure, fat oxidation, and weight change. |
Drinking water increases energy expenditure in metabolically-inflexible, obese individuals. Drinking water increases fat oxidation when blood sugar and/or insulin are not elevated and when it is consumed instead of caloric beverages. |
Abbreviations: AMSTART, A MeaSurement Tool to Assess systematic Reviews; CI, confidence interval; PRISMA, Preferred Reporting Items for Systematic Reviews; RCT, randomized controlled trial; RR, relative risk. 1 PRISMA is an evidence-based minimum set of items for reporting in systematic reviews and meta-analyses and has been used to assess reporting quality. For meta-analysis, the PRISMA checklist contained 24 required reporting items that were used to assess quality. For systematic reviews, 19 items remained after exclusion of items specific to meta-analyses (i.e., item 13, 14, 15, 21, and 22 which are related to data analysis and overall risk bias assessment). 2 AMSTAR 2 is an instrument used to assess the methodological quality of systematic reviews and meta-analysis. It has 16 items in total, whereby three of these are specific for meta-analysis. AMSTAR 2 is not intended to generate an overall score and thus, none is provided.
Figure 1PRISMA flowchart.
Intervention Studies on Hydration and Neurological Function 1.
| Citation | Objective | Population | Design | Intervention/Control | Summary/Conclusion |
|---|---|---|---|---|---|
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| Edmonds et al., 2017 (Children) [ | Examine dose–response effects of water on cognition in children | 60 children (58% F) ages 7–10 years. | Acute RCT | Children consumed the assigned water 20 min prior to cognition tasks: 0 mL water ( 25 mL water ( 300 mL water ( | No significant time × volume interaction for visual attention (Letter cancellation task) and working memory (digit span task). |
| Trinies et al., 2016 [ | Assess the role of hydration on cognition in children living in hot, low income environments | 279 children in grades 3–6 in schools across Eastern Zambia. | Parallel RCT | Students in area where water was not nearby were provided: No water bottles ( Refillable water bottle (water group, | Afternoon hypohydration, assessed by mean urine specific gravity, was lower in children provided water (9.8%) compared to the control children (67.2%). |
| Perry et al., 2015 [ | Assessed whether the benefit of drinking water on working memory and attention depends upon children’s hydration status and renal response. | 52 children (50% F) age 9–12 y. | Acute crossover | All subjects performed a baseline cognition test after standard breakfast (included 25 mL water and 250 mL skim milk). During the water intervention, subjects consumed 250 mL water, followed by cognition test battery (short-term effect), and another 500 mL water over the next 3 h, followed by another cognition test batter (long-term effect). During the control intervention, no additional fluid beyond breakfast was provided. | Based on osmolality, 65% of the population was dehydrated prior to breakfast intake, with 35% remaining dehydrated at the end of the control test period compared to 3.8% at the end of the active (water) period. |
| Booth et al., 2012 [ | Investigate the effects of water supplementation on visual attention and motor performance in schoolchildren. | 15 students (age 8–9 y) | Acute RCT | Children were provided no water or 250 mL bottle of water and instructed to drink as much or as little 20 min prior to cognition test and mood ratings. | When offered water, children drank an average of 168 mL water. |
| Fadda et al., 2012 [ | Assessed the effect of drinking water on cognitive performance, fatigue, and vigor in school children. | 168 children age 9–11 y living in a hot climate (Southern Italy). | Parallel RCT | Control group ( | Based on urine osmolality measurement, 84% of children were dehydrated (morning Uosm >800) at the start of the school day. Drinking water benefited short-term memory (auditory number span) and verbal reasoning (verbal analogies) but not selective attention (Deux de Barrage). No significant differences were found in POMS fatigue or confusion scores. Significant beneficial relationship between hydration and vigor was noted. |
| Kempton et al., 2011 [ | Investigate the effects of dehydration on brain function | 10 healthy adolescents (50% females), average age 16.8 y | Acute RCT | Subjects consumed 500 mL of water the evening prior to test day. On test day, subjects consumed a further 500 mL of water 1 h before a 90-min thermal exercise dehydration protocol (with thick and multilayered clothing) or a 90-min non-thermal control exercise protocol. | Subjects lost an average 1.65% body mass during the thermal dehydration exercise compared to 0.53% during the non-thermal control exercise. |
| Edmonds and Jeffes, 2009 [ | Assess the effect of water consumption on cognition in children. | 23 children (61% female) age 6–7 y from one classroom. | Acute parallel | Children were separated into water group ( | Significant positive changes were reported for children consuming water on the thirst and happiness ratings, as well as the visual attention and visual search tests. Visual memory and motor performances were not significantly different. Although there was an effect on mood, the authors caution making strong conclusions based on this finding due to the lack of significance on follow-up testing. |
| Edmonds and Burford, 2009 [ | Assessed the effect of a drink of water on children’s cognitive function. | 58 children, age 7–9 y. | Acute RCT | Control (no water) group ( | Children who drank additional water rated themselves as significantly less thirsty and performed better on letter cancellation task (visual attention) and spot the difference task (visual attention and memory). There were no differences between groups for story memory and visuomotor tracking tasks. |
| Benton and Burgess, 2009 [ | Examined the influence of giving additional water to school children on measures of memory and attention. | 40 children (45% female) in a school in South Wales, average age 8 y. | Acute RCT | Children were tested in the afternoon after receiving 300 mL of water or no water at the beginning of the mid-afternoon break, with testing occurring 20–35 min after consumption. | Immediate memory (recall of objects) was significantly better from children after consumption of water. The ability to sustain attention (paradigm of Shakow) was not significantly influenced by water consumption. |
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| Stachenfeld et al., 2018 [ | Investigate whether mild dehydration would adversely impact executive function tasks, with no effects on simple tasks, and that these changes in cognitive | 12 healthy women (age 18–34 y) | Crossover RCT | Subjects performed cognitive tasks and rated mood under three difference hydration conditions: Control: Typical water intake (mean of 2.3 L) Dehydration: Water deprivation (mean of 0.7 L) Euhydration: Water intake conformed to EFSA and IOM recommendation (mean of 2.4 L) | Water deprivation increased plasma osmolality from ~283 to 287 Uosm/kg H2O. Water deprivation increased errors for tests for visual memory or working memory (Continuous Paired Associate Learning) and executive function and spatial problem solving (Groton Maze Learning Test) when compared to control and euhydration conditions. No hydration effect on simple reaction time, choice reaction time, visual attention, motor speed, visual motor function, visual learning, working memory assessed with One and Two Back Tasks, and cognitive flexibility. |
| Edmonds et al., 2017 (Adults) [ | Evaluate the dose–response effect of water on cognitive performance and mood in adults | 96 adults, average age 21 y. | Acute RCT | Acute consumption of 300 mL water ( | Significant time × volume interaction for visual attention (letter cancellation task), whereby scores increased from baseline in a dose-dependent manner, with 0 mL having the lowest increase and 300 mL having the highest increase. |
| Benton et al., 2016 [ | Assess whether a loss of 1% of body mass due to hypohydration adversely influenced cognition, and examined the possible underlying mechanisms | 101 healthy adults. Water group aged 18–30 y; control group age 18–31 y. | Acute RCT | Water consumption group ( | Subjects in the no water group had greater body mass loss (−0.22% vs. +0.05%) and increase in osmolality (−117.24, no water vs. water). |
| Pross et al., 2014 [ | Evaluate effects of changing water intake on mood and sensation in habitual high- and low-water consumers. | 52 subjects (79% F) average age 25 y were selected based on daily fluid consumption: | Open label | Intervention conducted in controlled setting (inpatient facility) with meals (details not provided) and sleep/wake cycles standardized. Baseline data were collected during days 1–2, and intervention conducted days 3–5. Defined drinking programs were: Low consumers increased water intake to 2.5 L/d (11/19 M/F) High consumers reduced water intake to 1L/d (0/22 M/F) | Increasing water intake decreased urine osmolality from mean of 841 to 392 mOsm/kg. Decreasing water intake increased urine osmolality from mean of 222 to 720 mOsm/kg. |
| Edmonds et al., 2013 [ | Explore the effects of water and knowledge of aims of study on cognitive performance | 44 adults age 18–57 y. | Acute RCT | No water, no expectancy condition ( No water, expectancy condition ( Water, no expectancy condition ( Water and expectancy condition ( | There were no differences in the amount of water consumed (out of 200 mL) between the water + expectancy vs. the water + no expectancy groups. |
| Lindseth et al., 2013 [ | Examine the effect of fluid intake and possible dehydration on cognitive flight performance of pilots | 40 healthy pilots (average age 20.3 y) enrolled during the third term of the commercial phase of their collegiate aviation program at a Midwestern university | Crossover RCT | High- or low-fluid controlled diets (≥80 oz/d vs. ≤40 oz/d or ≥2.4 L/d vs. ≤1.2 L/d) for 2 weeks, with 2 week washout. | No difference between high and low fluid diets for flight performance (General Aviation Trainer full-motion flight simulator), spatial cognition (Vandenberg Mental Rotation Test), and memory (Sternberg Item Recognition Test). |
| Edmonds et al., 2013 [ | Investigate the effect of water supplementation on cognitive performance and mood in adults, and whether subjective thirst moderates the relation between water supplementation and cognitive performance and mood | 34 healthy adults (74% F), age 20–53 y. | Acute RCT | Water group consumed 0.5–1 L water prior to cognitive and mood testing. The no water group was not provided water prior to testing. | Water supplementation had a positive effect on simple reaction time, whereby those who were thirsty and did not have water performed more poorly compared to those who were not thirsty. However, the poorer performance of thirsty subjects was “normalized” when they were provided water. No significant results for visual memory, visual learning, immediate and delayed memory, comprehension, learning, acquisition and reversal, sustained attention, forced choice recognition, and choice reaction time. |
| Ely et al., 2013 [ | Determine the impact of acute exposure to a range of ambient temperatures (10–40 °C) in euhydration and hypohydration states on cognition, mood and dynamic balance | 32 men (average age 22 y) | Acute RCT | 4 groups ( | Sustained attention, choice reaction time, short-term spatial memory, and grammar-based logical reasoning were unaffected by hypohydration (4.0–4.2%body mass loss) or ambient temperature during cognition testing. |
| Pross et al., 2013 [ | Assess no drink allowed for 23–24 h | 20 healthy women, average age 20 y | Crossover RCT | Subjects completed the following:
24-h fluid deprivation: no beverages from 6–7 p.m. until 6 p.m. next day. Fully hydrated control: water intake at fixed periods. | Urine specific gravity significantly increased and color significantly darkened at 9 h and remained so throughout 24 h, but plasma osmolality was unchanged. |
| Armstrong et al., 2012 [ | Investigate if mild dehydration would primarily affect mood and symptoms of dehydration and have modest effects on cognitive function. | 25 women, average age 23 y. | Acute RCT | Arm 1: Exercise-induced dehydration + placebo capsule containing no diuretic Arm 2: Exercise-induced dehydration plus a diuretic capsule Arm 3: Euhydration plus placebo capsule. | While in the dehydration arms, subjects lost ≥1% body mass (mean loss of 1.36%) |
| Ganio et al., 2011 [ | Assess the effects of mild dehydration on cognitive performance and mood of young males | 26 men, average age 20 y | Acute RCT | Arm 1: Exercise-induced dehydration plus a diuretic Arm 2: Exercise-induced dehydration plus placebo containing no diuretic Arm 3: exercise while maintaining euhydration plus placebo. | While in the dehydration arms, subjects lost ≥1% body mass (mean loss 1.59% body mass). |
| Kempton et al., 2009 [ | Investigate whether acute dehydration would lead to a reduction in brain volume and subtle regional changes in brain morphology such as ventricular expansion | 7 healthy men (mean age 23.8 y) | Single arm | Subjects went through a thermal-exercise dehydration protocol to decrease body mass by 2–3%. Subjects received brain MRI scan before and after the dehydration protocol. | Average body mass loss due to dehydration protocol was 2%. |
| Petri et al., 2006 [ | Measure the deterioration in mental and physical performance and dynamics of its onset during voluntary 24-h fluid intake deprivation. | 10 healthy men, age 21–30 y. | Open label | Testing occurred over 2 d, every 3 h throughout the days for a total of 7 time points a day. During the first 24 h, subjects were allowed to drink freely. From 25–48 h, subjects were not allowed to drink. Daily water intake in food was 500 g. The environmental conditions and diet were controlled. | Speed, accuracy, and mental endurance decreased after 3 h of fluid deprivation. Stability decreased after 9 h of fluid deprivation |
| Szinnai et al., 2005 [ | Determine the effect of slowly progressive dehydration on | 8 healthy women (age 21–34 y) and 8 healthy men (age 20–34 y) | Crossover RCT | During the dehydration arm, subjects abstained from fluid intake for 28 h. During the control arm, subjects were allowed fluid ad libitum. | Urine osmolality increased during dehydration (2.45% body mass loss). |
| Shirreffs et al., 2004 [ | Investigate the physiological responses and subjective feelings resulting from fluid restriction over 37 h compared to euhydration | 15 subjects (40% F) average age 30 y | Crossover RCT | Subjects randomized to different hydration conditions for up to 37 h: Fluid Restriction: restrain from all fluid intake and ingest only foods that have low water content. Euhydration: consume normal diet and beverage intake. | Fluid restriction: water from food, 487 ± 335 mL; urinary loss, 1.37 ± 0.39 L; body mass decrease, 2.7 ± 0.6% at 37 h. Subjects reported decreased ability to concentrate, and decreased alertness, and more headaches. |
| Neave et al., 2001 [ | Assess dehydration within normal physiological levels on mood and cognition. | 24 generally healthy adults (50% F) average age 20.1 y | Crossover | Subjects did not eat or drink anything from midnight until testing the next morning. Compared 300 mL water vs. no intake (9–11 h no water intake). | Fasting was ~9 h with testing over 2 h. Sustained attention and working memory were not affected by water intake. |
| Rogers et al., 2001 [ | Assessing no drinking vs. 120 mL or 330 mL of water intake | 60 adults (50% F), average age 26 y | Parallel RCT | Subjects performed cognition task after acute consumption of the following:
Nothing 120 mL water 330 mL water | Improved attention with acute fluid intake |
| Gopinathan et al., 1988 [ | Determine the effects of various degrees of dehydration on mental performance | 11 healthy soldiers (age 20–25 y) | Crossover RCT | Subjects performed moderate work for 2 h under hot and humid conditions (30% relative humidity, 45 °C). Water was restricted during work to induce four different dehydration states: −1, −2, −3, and −4% body mass. | Short-term memory, arithmetic efficiency, and motor speed and attention deteriorated with increased dehydration, starting at 2% body mass loss. |
| Sharma et al., 1986 [ | Investigate the effect of primary dehydration of various levels (1, 2 and 3% body-weight deficits) on mental functions in heat acclimatized subjects drawn from tropical regions of India | 8 healthy men (age 21–24 y) | Crossover RCT | Subjects performed moderate work under hot and dry conditions (60% relative humidity, 45 °C) or hot and humid conditions (30% relative humidity, 45 °C) until they reached their target dehydration states: 0 (water replenished), −1, −2, and −3% body weight. Cognition tests were performed after 90 min rest in neutral conditions (27 °C, 50% relative humidity). | Symbol classification was not affected by dehydration. |
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| Spigt et al., 2012 [ | Investigate the effects of increased water intake on headache | 102 adults who had at least two episodes of moderately intense headache or at least five mildly intense episodes per month and a total fluid intake of less than 2.5 L/day. Control group: average age 45 y; water group: average age 47 y. | Parallel RCT | Both groups received written instructions about stress reduction and sleep improvement strategies. Group 1: Also instructed to consume an additional 1.5 L water/d ( | Subjects who drank more water reported better migraine specific quality of life. 47% in the intervention (water) group self-reported improvement against 25% in controls. |
| Spigt et al., 2005 [ | Explore whether there could be a positive effect of increased water intake in headache patients | 15 adults who frequently (once a week or more) suffered from migraine or tension-type headache, mean age 44 y | Parallel RCT | Group 1: Instructed to consume an additional 1.5 L water/d ( | Additional water consumption decreased total number of hours of headache and headache intensity, but effects were not statistically significant. |
Abbreviations: C, Celsius; d, day; EFSA, European Food Safety Authority; F, female; g, grams; h, hours; IOM, Institute of Medicine; kg, kilogram; L, liter; M, male; min, minute; mL, milliliter; MRI, magnetic reasonance imaging; n, sample size; oz, ounces; POMS, Profile of Mood States; RCT, randomized clinical trial; Uosm, urine osmolality; VAS, Visual Analogue Scale; y, years. 1 Intervention trials published since inception through April 2018.
Intervention Studies on Hydration and Gastrointestinal Function 1.
| Citation | Study Objective | Population | Design | Intervention | Summary/Conclusion |
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| Anti et al., 1998 [ | Determine the effects of a high-fiber diet and fluid supplementation in patients with functional chronic constipation | 117 adults with chronic functional constipation (age 18–50 y). Baseline fluid intake: Group 1: 1.0 L (SD 0.2) and Group 2: 1.0 L (SD 0.4) | Parallel RCT | Group 1 ( | Fluid intake was greater in Group 2 (average 2.1 L/d) vs. Group 1 (average 1.1 L/d). Group 2 had greater increases in stool frequency and decreases in laxative use compared to Group 1. |
| Chung et al., 1999 [ | Examine the effect of excess fluid (isotonic and hypotonic) on the actual stool output as measured by stool weight while simultaneously monitoring the urine output in 15 healthy volunteers | 15 adults age 23 to 46 y. Baseline fluid intake: Group 1: 1.38 L (SD 0.93) and Group 2:1.20 L (SD 0.29). | Parallel | Group 1 ( | No change in total stool weight in both groups. Stool frequency was not reported. |
| Ziegenhagen et al., 1991 [ | Compare the long-term effects of wheat bran alone vs. wheat bran with fluid addition on gastrointestinal function in healthy subjects | 11 adults (55% F), age 19–33 y | Crossover RCT | Period 1: 15 g wheat bran twice/d. Period 2: 15 g wheat bran + 300 mL tea or water twice/d. Basal fluid intake restricted to 1–1.2 L/d. 14 d intervention, 7 d washout. | Gastric emptying was slower with bran vs. control and bran + fluid. Whole gut (oroanal) transit was shorter, while stool frequency and stool weight were greater with bran and bran + fluid vs. control. No effects due to addition of fluid were reported. |
| Klauser et al., 1990 [ | Investigate whether fluid deprivation has an influence on colonic function | 8 healthy men (age 21–28 y) | Crossover RCT | Control week: Consume >2500 mL fluid/d. Intervention week: Consume <500 mL fluid/d. | Stool weight and frequency decreased with fluid restriction. No change in oroanal transit time. |
| van Nieuwenhoven et al., 2000 | Examine the effect of dehydration on various gastrointestinal parameters during strenuous exercise. | 10 healthy men (age 18–30 y) | Crossover RCT | Euhydration/control arm: Habitual fluid consumption. Dehydration arm: 15-min periods in a dry sauna interspersed with 10-min cooling off periods until 3% body mass loss was reached | Gastric emptying was significantly slower during dehydration. Orocecal transit time, intestinal permeability, and intestinal glucose absorption were unaffected by dehydration. |
Abbreviations: d, day; F, female; g, grams; L, liter; M, male; min, minute; mL, milliliter; n, sample size; RCT, randomized clinical trial; SD, standard deviation; y, years. 1 Intervention trials published since inception through April 2018.
Intervention Studies on Hydration and Weight Management 1.
| Citation | Study Objective | Population | Design | Intervention | Summary/Conclusion |
|---|---|---|---|---|---|
| Wong et al., 2017 [ | Compare a standard weight-loss program with and without water | 38 overweight and obese adolescents who reported drinking ≤4 cups of water/d; | 6 month parallel RCT | All participants received similar weight-reducing interventions (i.e., dietary counseling, daily text messages, and a cookbook with health guides). | Water group consumed more water [4.8 (3.8 to 5.9) cups of water/d] compared to the Control group [3.5 (2.6 to 4.4) cups/d]. |
| Parretti et al., 2015 [ | Investigate the efficacy of water preloading before meals as a weight loss strategy for adults with obesity. | 84 obese adults; | 12 week | All participants were given a face-to-face weight management consultation at baseline and a follow-up telephone consultation at 2 weeks. | Water group lost 1.3 kg more than control group at 12 weeks. |
| Corney et al., 2015 [ | Examine the effects of hydration status and/or fluid availability during eating on ad libitum energy intake | 16 healthy males, average age 25 y. | Acute RCT | Subjects provided standard foods for 24 h which were designed so subjects are euhydrated or hypohydrated. Ad libitum breakfast was provided the next day. | Hydration status prior to ad libitum breakfast did not affect energy intake. Those who were hypohydrated (~1.8% body mass loss) consumed more fluids during breakfast compared to those who were euhydrated. |
Abbreviations: BMI, body mass index; d, day; F, female; h, hours; kg, kilograms; M, male; mL, milliliter; n, sample size; RCT, randomized clinical trial; y, years. 1 Intervention trials published since January 2014 through April 2018; studies included in the 2018 Stookey review were not included in this table.
Summary of Literature Findings.
| Health Outcomes | Summary of Literature Findings |
|---|---|
| Skin Health | The effectiveness of additional water consumption on skin barrier function is unclear. A few studies suggest that increasing water consumption may improve the hydration of the stratum corneum layer of the epidermis, which plays a key role in skin barrier function. However, no changes to transepidermal water loss (measure of barrier integrity) were reported. |
| Cognition | Despite variability among study methodologies, dehydration impairs cognitive performance for tasks involving attention, executive function, and motor coordination when water deficits exceed 2% body mass loss. Cognitive domains involving lower order mental processing (e.g., simple reaction time) are less sensitive to changes in hydration status. In children, results from studies on hydration and cognition are mixed. |
| Mood and Fatigue | Hypohydration is associated with increased negative emotions such as anger, hostility, confusion, depression and tension as well as fatigue and tiredness. These findings are consistent in adults, but unclear and very limited in children. |
| Headache | The evidence is too limited to determine if hydration affects headache. |
| Kidney Stones | A significant association between high fluid intake and a lower risk of incident kidney stones has been reported, but data are limited. |
| Renal Function related to Toxin Elimination | There is not enough evidence to support commercial detox diets for toxin elimination. |
| Gastrointestinal Function and Constipation | Studies on hydration and general gastrointestinal function in healthy people are lacking. Clinical trials have been conducted on constipation, but currently do not support the use of increased fluid intake in the treatment of functional constipation. Further studies are necessary to understand the role of water and fluid consumption in the etiology and treatment of constipation. |
| Body Weight and Body Composition | Studies on fluid replacement of caloric beverages with non-caloric beverages have consistently resulted in lower energy intake. Existing data suggest that increased water consumption contributes to reductions in body fat and/or weight loss in obese adults, independent of changes in energy intake. Data in children are limited. More studies are needed to clarify the effect in both adults and children. |