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. Author manuscript; available in PMC: 2018 May 1.
Published in final edited form as: JAMA Pediatr. 2017 May 1;171(5):e170012. doi: 10.1001/jamapediatrics.2017.0012

Effects of advice to drink 8 cups of water per day in adolescents with overweight or obesity: a randomized trial

Julia MW Wong 1, Cara B Ebbeling 1, Lisa Robinson 1, Henry A Feldman 1, David S Ludwig 1
PMCID: PMC5530362  NIHMSID: NIHMS880675  PMID: 28264082

Abstract

Importance

Healthcare professionals commonly recommend increased water consumption, typically to 8 cups/d, as part of a weight-reducing diet. However, this recommendation is based on limited evidence and virtually no experimental data in the pediatric age range.

Objective

The aim of this study was to compare two standard weight-loss diets, either with (Water) or without (Control) additional advice and behavioral support to increase habitual water intake to 8 cups/d.

Design

6-month randomized controlled parallel-group design.

Setting

The trial was conducted at Boston Children’s Hospital, Boston, Massachusetts, between February 2011 and June 2014.

Participants

38 overweight and obese adolescents who reported drinking ≤4 cups of water/d.

Intervention

Both groups received similar weight-reducing interventions, differentiated by water messages but controlled for other dietary recommendations and treatment intensity. The interventions included dietary counseling, daily text messages, and a cookbook with health guides. To support adherence to 8 cups water/d, the Water group received well-defined water messages through counseling and daily text messages, a water bottle, and a water pitcher with filters. The Control group received no specific advice on water consumption.

Main Outcome and Measures

Primary outcome was 6-month change in body mass index (BMI) z-score.

Results

All randomized participants completed the study. Both groups reported drinking ~2 cups/d water at baseline. Self-reported change in water intake was greater in the Water Group compared to the Control Group (difference between groups, 1.6; 95% CI, 0.2 to 3.0 cups/d; P=0.03). The 6-month change in BMI z-score did not differ between groups (−0.0; 95% CI, −0.1 to 0.1; P=0.88).

Conclusions and Relevance

Contrary to hypothesis, advice and behavioral supports to consume 8 cups water/d in the context of a weight-reducing diet did not affect body weight among overweight and obese adolescents. Despite intensive behavior supports, few achieved the 8 cups/d water target. Environmental interventions to reduce barriers to water consumption at school may be necessary in future research of feasibility and effectiveness to achieve the target of an 8-cup/d intake of water in adolescents.

Clinical Trial Registration

ClinicalTrials.gov, NCT01044134, https://clinicaltrials.gov/ct2/show/NCT01044134

Keywords: water, weight loss, obesity, adolescents, clinical trial

INTRODUCTION

Adequate water intake is essential for health, but any benefit for weight management remains unclear. Nevertheless, healthcare professionals commonly recommend increasing water intake, typically to 8 cups/d, as part of a weight-reducing diet. Despite its widespread adoption, the evidence base is limited, with virtually no experimental data in the pediatric population 1.

The origin of the 8 cups of water/d recommendation is unclear 2. Adequate intake of total water for adolescents is 2.4–3.3L for boys and 2.1–2.3L for girls 3. The adequate intake was set at the median total water intake based on national survey data. However, dehydration is estimated in more than half of US children and adolescents 4 and almost one quarter report no intake of any plain water 5. The practicality of increasing habitual water intake to 8 cups/d is unknown.

No trials to date have tested increasing water to 8 cups/d. Increased water intake was inversely associated with weight gain in a pooled analysis of prospective cohort studies 6 and associated with greater weight reduction in a post-hoc analysis of data from an interventional study 7. Cross-sectional studies show a positive association in children and adolescents 5, but not in adults 8. However, these studies are subject to residual confounding and reverse causation. In adults, trials of water preloads showed mixed results compared to no water preloads for weight loss 9,10. In children, trials that tested differences in advice to drink water 11 and a school-based intervention 12 did not result in significant weight loss compared to the control group.

Various mechanisms may plausibly relate increased water intake to weight loss. These include increased gastric distension 13,14, fullness 9,15,16, or energy expenditure via water-induced thermogenesis 17,18; decreased hunger 9,16, energy intake 15, or solid food consumption from decreased thirst cues mistaken for hunger cues 19; reduced activation of adipose tissue RAS components associated with dehydration 20; displacement of calorie-containing beverages 6,21,22; and improvements in diet quality 5,7,23.

The aim of this study was to compare the effects of recommending consumption of 8 cups water/d on weight loss in adolescents with overweight or obesity during a 6-month weight-reducing diet.

SUBJECTS AND METHODS

Design

We conducted a 6-month randomized, controlled parallel-group study comparing two weight loss interventions, comprising standard dietary recommendations either with (Water) or without (Control) additional advice and behavioral support to increase habitual water intake to 8 cups/d. We hypothesized that increasing water intake to 8 cups/d would decrease 6-month change in BMI z-score (primary outcome) and other anthropometric outcomes. Participants were recruited from newspaper advertisements, internet listings, and pediatric primary care practices, with the study presented as an opportunity for weight loss. A multi-step screening and enrollment process was used to confirm eligibility.

The institutional review board at Boston Children’s Hospital approved the protocol. Participants provided written informed assent and a parent provided written informed consent. Participants who completed the study received $120 as compensation for their time and effort. The study was conducted between February 2011 and June 2014.

Participants

Adolescents aged 12 to 17 years with a BMI ≥85th percentile 24 were eligible for the study. Other inclusion criteria included access to a working cell phone, at least one parent willing and able to participate in the intervention with the participant, and medical clearance from a treating physician. Exclusion criteria were water intake of >4 cups/d (i.e., individuals for whom the intervention would likely produce relatively little change in habitual intake), BMI ≥40 kg/m2, smokers, diagnosis of a major medical illness, and chronic use of medications that may affect study outcomes. To prevent contamination of random group assignments, members of the same family or household, or friends, classmates or co-workers who interacted with each other ≥1 time per week were not enrolled.

Master randomization assignments using a blocked randomization design stratified by sex and ethnicity/race (non-Hispanic white, other) with sequential randomization numbers, were prepared in advance by the study statistician. Individual group assignments were specified in a sequence of sealed envelopes, labeled with the same randomization numbers. The appropriate envelope was opened for each enrolled participant the day of the first in-person session with the dietitian.

Intervention

The two groups received similar weight-reducing interventions, comprising diets that were differentiated only with regard to specificity of recommendations for water consumption. The standardized weight-reducing intervention consisted of monthly individual nutrition education and behavioral counseling by a registered dietitian (alternating between in-person sessions and telephone counseling calls, 6 total contacts), and daily text messages. The standardized intervention was intentionally designed to be less intensive where any large reductions in body weight could potentially mask the effects of increasing water intake to 8 cups/d. Well-defined key messages consistent with national dietary guidelines (USDA MyPyramid 25 and MyPlate 26 food guidance systems) included recommendations to eat ample vegetables, fruits, and legumes; whole rather than refined grains; and high-quality proteins at most meals and snacks. Additional messages focused on limiting intake of added fats and sugars, juices, and sugar-sweetened beverages. Participants were provided a cookbook with health guides and recipes written specifically for adolescents and a Corelle® plate with appropriate divisions to convey reasonable portion sizes and facilitate meal assembly. Telephone calls were conducted using a patient-centered counseling model 27,28 to encourage adherence. Daily text messages were sent using client-based messaging software (HipLink™, Semotus Solutions, Inc.) to reinforce key messages, foster adherence, and provide ongoing support with motivating and encouraging phrases. Text messages were sent on the hour between 4–7pm on weekdays and 9am–7pm on weekends to avoid school and sleeping hours. Physical activity advice consistent with current guidelines was the same in both groups 29,30.

Participants were masked to the specific aims of the study in order to maximize adherence to their group assignment. The Water group was counseled to increase water intake to 8 cups/d, “8×8” (eight 8-oz glasses of water/d). Water was defined as tap and plain bottled water. To support adherence, the Water group received well-defined water messages through counseling and daily text messages, a stainless steel water bottle, and a water pitcher with replacement filters. The Control group received no specific advice on water intake or altering beverage intake other than those as part of the standard weight-reducing diet described above. When asked, the dietitian advised that drinking plain water was the best way to satisfy thirst and instructed them to drink when thirsty.

Treatment Fidelity

Several strategies were implemented to maximize treatment fidelity. Scripts and education materials for presenting topics during the in-person sessions included well-defined messages for each diet. Guides for telephone counseling calls were designed to foster dietitian adherence to a patient-centered counseling model, with adequate flexibility for responding to the unique needs of each participant. Telephone calls were digitally recorded and a random selection (33%) was reviewed for quality control.

Process Evaluation

Participant adherence was evaluated based on attendance at in-person sessions that included spot urines to measure hydration status, completion of telephone counseling calls, and self-reported dietary and water intake. We also evaluated participant satisfaction with the intervention.

Diet and physical activity were assessed by 3 unannounced 24-hour recall interviews (2 weekdays, 1 weekend day) at baseline and again at 6-months. The interviewer was masked to group assignment. Dietary data were collected using the Nutrition Data System for Research (NDSR) software versions 2010–2013, developed by the Nutrition Coordinating Center, University of Minnesota, Minneapolis. Final calculations were completed using NDSR version 2013. Physical activity data were collected using established methods 31,32 and are presented as metabolic equivalents (METs) 33. At each in-person session, participants provided a spot urine sample that was immediately analyzed for specific gravity (MultiStix 10 SG reagent strips; Siemens Healthcare Diagnostics Inc.). At the end of the study, participants responded to satisfaction questions related to the standard weight loss diet using 10-cm visual analog scales with appropriate verbal anchors. The Water group completed additional questions related to the “8×8” recommendation.

Outcomes

Outcomes were assessed after a 12-hour overnight fast at baseline and 6-months. Outcome assessors were masked to random group assignment. Data were managed using Research Electronic Data Capture 34.

BMI z-score and percentile were calculated using reference data for sex and age 24. Body weight and height were measured using a calibrated electronic scale and wall-mounted stadiometer, respectively. BMI was calculated as weight (kg) divided by height (m) squared. Waist and hip circumferences were measured according to established methods 35,36.

Statistical Analysis

In this study, the planned sample size of 30 per group, based on a previous trial 37, provided 80% power to detect a difference between arms for 6-month change in weight (3.7kg) and BMI z-score (0.122). We randomized 38 participants (=2/3 of target) and stopped enrollment after 2.8y due to slow recruitment.

Data are presented as mean (95% CI) unless otherwise noted. All analyses followed the intention-to-treat principle. Baseline characteristics were compared between groups using the Fisher exact test for categorical variables and t-test for continuous variables. The primary outcome was 6-month change in BMI z-score. To adjust for variations in BMI based on sex and age of adolescents, BMI was transformed to BMI z-score (i.e. adjusting for sex and age based on reference data). The 6-month changes from baseline in outcomes were compared between groups using a general linear model. The findings of the primary outcome did not materially change with the inclusion of baseline covariates (water intake, BMI z-score, sex, age, height, income, race, energy intake, % calories from fat). Secondary outcomes were also analyzed with the inclusion of variance reducing baseline covariates (BMI z-score, water intake) and the findings did not materially change with the inclusion. We further tested covariates for potential effect modification (interaction). The null hypothesis was that the 6-month change from baseline would not differ between diet groups. Relationships of BMI z-score with water intake and urine specific gravity for changes over 6 months were calculated using Pearson correlations. SAS software (SAS Institute Inc., Cary, NC) was used for all computations.

RESULTS

Recruitment and Retention

Over 100 adolescents attended an informational visit after initial telephone screening for eligibility. Of these, 42% reported drinking >4 cups of water/d and were excluded (Figure 1). A total of 38 participants were randomized to a diet group. Baseline characteristics are presented in Table 1. There were no differences at baseline between groups except for annual household income and age. Study completion rate was 100% and all randomized participants were included in the primary analysis.

Figure 1.

Figure 1

Flow of Participants Through the Trial

Table 1.

Baseline Characteristicsa

Variable Unadjusted Data
Control (n=19) Water (n=19) P value
Sex (Males/Females) 6/13 5/14 1.00

Race or Ethnic Group
 Race 1.00
  White 9 8
  Black 5 6
  Asian 2 1
  Native American/Alaskan Native 0 1
  Multiple or Other 3 3
 Ethnic Group 1.00
  Hispanic 1 2
  Non Hispanic 18 17

Annual Household Income 0.04
 < $30,000 4 1
 $30,000 – $59,999 2 6
 $60,000 – $89,999 4 8
 ≥ $90,000 7 4
 Unknown or Refused 2 0

Age(yr), Mean±SD 15.7±1.4 14.1 ±1.7 0.004
a

Differences in baseline characteristics by diet group were assessed using the Fisher exact test for categorical variables and t-test for continuous variables. P-value tests the hypothesis of zero difference between diet groups.

Process Measures

Completion of in-person sessions and telephone calls and receipt of daily text messages did not differ between groups. Participants attended 95% of in-person visits and received 89% of telephone counseling calls and 95% of text messages.

Compared to baseline, urine specific gravity decreased significantly at 6-months in the Water group [−0.007 (−0.012 to −0.002); P=0.012], with no change in the Control group [−0.001 (−0.007 to 0.004); P=0.59] (Table 2). However, at 6-months, no significant difference was observed with changes in urine specific gravity between diet groups [−0.006 (−0.013 to 0.002); P=0.13].

Table 2.

Process Dataa

Variable Study Group Unadjusted Data Mean (95% CI) Change from Baseline Mean (95% CI)


Baselineb 6 months 6 months P value


Energy (kcal) Control 1646 (1374 to 1918) 1315 (1149 to 1482) −330 (−555 to−106) 0.005

Water 1617 (1364 to 1871) 1274 (1109 to 1439) −344 (−568 to−119) 0.004

Water - Control −13 (−331 to 305) 0.93


Carbohydrate (% energy) Control 51.9(49.1 to 54.6) 48.1 (44.7 to 51.4) −3.8 (−7.5 to−0.1) 0.044

Water 51.7 (50.1 to 53.3) 46.1 (43.5 to 48.7) −5.6 (−9.3 to−1.9) 0.004

Water - Control −1.8 (−7.0 to 3.4) 0.49


Protein (% energy) Control 17.0 (15.3 to 18.7) 21.7 (19.0 to 24.4) 4.7 (1.9 to 7.5) 0.002

Water 16.8 (15.0 to 18.7) 23.1 (20.9 to 25.4) 6.3 (3.5 to 9.1) <0.0001

Water - Control 1.6 (−2.4 to 5.6) 0.42


Fat (% energy) Control 31.1 (28.8 to 33.4) 30.2 (27.1 to 33.4) −0.9 (−4.0 to 2.2) 0.58

Water 31.5 (29.3 to 33.6) 30.7 (29.0 to 32.4) −0.7 (−3.8 to 2.4) 0.64

Water - Control 0.1 (−4.2 to 4.5) 0.95


SFA (% energy) Control 11.5 (10.1 to 12.8) 10.4 (9.1 to 11.6) −1.1 (−2.7 to 0.5) 0.17

Water 11.3 (10.0 to 12.6) 10.5 (9.2 to 11.8) −0.8 (−2.4 to 0.8) 0.30

Water - Control 0.3 (−2.0 to 2.5) 0.81


MUFA (% energy) Control 10.1 (9.2 to 11.1) 10.0 (8.7 to 11.2) −0.2 (−1.4 to 1.1) 0.78

Water 10.5 (9.7 to 11.2) 10.3 (9.7 to 10.9) −0.1 (−1.4 to 1.1) 0.81

Water - Control 0.0 (−1.8 to 1.8) 0.98


PUFA (% energy) Control 6.7 (5.5 to 8.0) 7.0 (5.6 to 8.4) 0.3 (−1.3 to 1.8) 0.74

Water 6.9 (5.6 to 8.1) 6.9 (5.8 to 8.0) 0.1 (−1.5 to 1.7) 0.94

Water - Control −0.2 (−2.4 to 2.1) 0.86


Fiber (g/1000 kcal) Control 7.8 (6.4 to 9.2) 9.5 (8.0 to 11.0) 1.7 (0.2 to 3.3) 0.030

Water 7.9 (6.6 to 9.2) 9.9 (8.7 to 11.1) 1.9 (0.4 to 3.5) 0.016

Water - Control 0.2 (−2.0 to 2.4) 0.84


Dietary Cholesterol (mg/d) Control 245.9 (178.8 to 313.0) 205.0 (129.6 to 280.5) −40.9 (−95.1 to 13.3) 0.13

Water 218.2 (171.0 to 265.3) 187.5 (152.6 to 222.4) −30.7 (−84.8 to 23.5) 0.26

Water - Control 10.2 (−66.4 to 86.8) 0.79


Water Intake (8 Fluid ounce servings) Control 2.3 (1.5 to 3.1) 3.5 (2.6 to 4.4) 1.2 (0.2 to 2.2) 0.02

Water 2.0 (1.4 to 2.7) 4.8 (3.8 to 5.9) 2.8 (1.8 to 3.8) <0.0001

Water - Control 1.6 (0.2 to 3.0) 0.03


Urine Specific Gravityc Control 1.019 (1.015 to 1.023) 1.018 (1.013 to 1.022) −0.001 (−0.007 to 0.004) 0.59

Water 1.019 (1.015 to 1.023) 1.012 (1.007 to 1.016) −0.007 (−0.012 to−0.002) 0.012

Water - Control −0.006 (−0.013 to 0.002) 0.13


Physical Activity (METs) Control 1.5 (1.4 to 1.6) 1.5 (1.4 to 1.5) 0.0 (−0.1 to 0.1) 0.86

Water 1.5 (1.4 to 1.6) 1.6 (1.5 to 1.7) 0.0 (−0.1 to 0.2) 0.49

Water - Control 0.0 (−0.2 to 0.2) 0.72

N=38 (19 Water, 19 Control)

c

35 (17 Water, 18 Control)

a

Levels [mean (95% CI)] by study group at baseline and 6 months. Change [mean (95% CI)] from baseline assessed using the general linear model. P-value for each diet group tests the hypothesis of zero mean change from baseline within diet groups. P-value for “Water – Control” tests the hypothesis of zero difference between diet groups.

b

There were no differences between diet groups at baseline assessed using t-test (P≥0.05).

Baseline water intake was ~2 cups/d in both groups. Reported change in water intake was greater in the Water group compared to the Control group [1.6 (0.2 to 3.0) cups/d; P=0.03]. At 6-months, the Water group reported 4.8 (3.8 to 5.9) cups of water/d and the Control group 3.5 (2.6 to 4.4) cups/d. In the Water group, 1/19 subjects (~5%) reported drinking >8 cups water/d and 2/19 (~11%) ≥ 7.5 cups/d. One subject reported drinking ≥7.5cups/d in the Control group. No differences were reported between diet groups in energy and dietary intake whereas both groups reported similar changes while following the standard weight-reducing diet (Table 2). No difference between groups was reported in physical activity.

Both groups were equally satisfied with the intervention where overall satisfaction was ~8 on a 10-point scale (eTable 1). Specific to the Water group, participants reported a mean of ~7 for the ease of following the “8×8” recommendation and usefulness of the water bottle, water pitcher, and daily water-specific text messages.

Outcomes

Outcomes are presented in Table 3. Changes in BMI z-score did not differ significantly between diet groups [−0.0 (−0.1 to 0.1); P=0.88], although both groups decreased from baseline by 0.1. Changes in other anthropometric measures also did not differ between groups. There were no significant interactions detected.

Table 3.

Study Outcomesa

Variable Study Group Unadjusted Data Mean (95% CI) Change from Baseline Mean (95% CI)


Baselineb 6 months 6 months P value


BMI z-score Control 2.0 (1.8 to 2.2) 1.9 (1.7 to 2.1) −0.1 (−0.2 to −0.0) 0.008

Water 2.1 (1.9 to 2.3) 2.0 (1.8 to 2.2) −0.1 (−0.2 to−0.0) 0.005

Water - Control −0.0 (−0.1 to 0.1) 0.88


BM (kg/m2) Control 31.9 (30.1 to 33.7) 31.5 (29.5 to 33.5) −0.4 (−1.1 to 0.3) 0.24

Water 32.0 (29.7 to 34.3) 31.4 (29.2 to 33.5) −0.6 (−1.3 to 0.1) 0.091

Water - Control −0.2 (−1.2 to 0.8) 0.71


Body Weight (kg) Control 88.3 (80.4 to 96.1) 87.6 (79.3 to 96.0) −0.6 (−2.7 to 1.5) 0.56

Water 85.4 (77.4 to 93.4) 85.0 (77.7 to 92.2) −0.4 (−2.6 to 1.7) 0.68

Water - Control 0.2 (−2.8 to 3.2) 0.90


Height (cm) Control 165.8 (161.8 to 169.8) 166.2 (162.0 to 170.5) 0.4 (−0.2 to 1.1) 0.14

Water 163.1 (159.1 to 167.1) 164.4 (160.6 to 168.2) 1.3 (0.7 to 1.9) 0.0001

Water - Control 0.9 (−0.0 to 1.7) 0.05


BM Percentile Control 96.8 (95.4 to 98.2) 95.5 (93.1 to 98.0) −1.3 (−2.2 to −0.3) 0.01

Water 97.5 (96.3 to 98.7) 96.6 (94.9 to 98.4) −0.8 (−1.8 to 0.2) 0.10

Water - Control 0.4 (−0.9 to 1.8^ 0.51


Waist Circumference (cm) Control 106.0 (100.3 to 111.7) 104.4 (98.8 to 110.0) −1.6 (−3.8 to 0.6) 0.15

Water 102.2 (96.8 to 107.5) 101.6 (96.7 to 106.6) −0.6 (−2.7 to 1.6) 0.61

Water - Control 1.0 (−2.1 to 4.1) 0.51


Hip Circumference (cm) Control 113.7 (109.5 to 117.8) 114.0 (109.2 to 118.8) 0.3 (−1.6 to 2.2) 0.73

Water 111.4 (107.4 to 115.5) 111.4 (107.4 to 115.5) −0.0 (−1.9 to 1.9) 1.00

Water - Control −0.3 (−3.0 to 2.4) 0.81

Abbreviation: BMI, body mass index N=38 (19 Control, 19 Water).

a

Levels [mean (95% CI)] by study group at baseline and 6 months. Change [mean (95% CI)] from baseline assessed using the general linear model. P-value for each diet group tests the hypothesis of zero mean change from baseline within diet groups. P-value for “Water - Control” tests the hypothesis of zero difference between diet groups.

b

There were no differences between diet groups at baseline assessed using t-test (P≥0.05).

No significant correlation existed between change in BMI z-score and changes in water intake or urine specific gravity.

Challenges and Barriers to “8×8” Recommendation

Subjects in the Water group reported being comfortable drinking water in front of their immediate family, relatives, and friends. At school, although water was accessible, water fountains were reported to be inconveniently located (26%) and to provide unsafe drinking water (21%). Furthermore, 16% reported not being allowed to bring water to school and 32% were not allowed to drink water in class. Outside of school or home, lack of convenient places to drink water from a fountain (47%) or refill a water bottle (37%) was also reported. Results are presented in eTable 2 and 3.

DISCUSSION

The present study evaluated two standardized 6-month interventions, comprising standard dietary recommendations for weight loss, either with or without additional advice and behavioral support to increase habitual water intake to 8 cups/d in adolescents with overweight or obesity. Contrary to the study hypothesis, advice and behavioral support to consume 8 cups water/d in the context of a weight-reducing diet did not affect BMI z-score among overweight and obese adolescents.

All randomized participants completed the study, although recruitment was less than expected. Based on the observed difference between groups and standard error, >6500 participants/group would be required to demonstrate a significant finding in BMI z-score with 80% power. Thus, had we achieved our recruitment goal, we likely would not have detected a significant group effect.

A novel aspect of the study was the “8×8” recommendation, which has not been tested in previous trials. On average, water intake increased by 3 cups/d to a mean of 5 cups/d in the Water group. Although less than 8 cups/d, water intake increased 2.5 times from baseline and the two groups appeared well-differentiated with regards to water intake. Reported changes in water intake were consistent with changes in urine specific gravity. However, lack of adherence, based on self-report, to advice to increase habitual water intake to 8 cups/d was the main study limitation. In addition to well-defined messages provided during the in-person sessions and telephone counseling calls, the study utilized several behavioral supports to foster adherence to advice to drink 8 cups water/d. Usefulness rating for the water bottle, water pitcher, and text messages were between 6 and 7 on a 10-point scale. Despite intensive efforts, the ease of the “8×8” recommendation was rated at 6.6 on a 10-point scale, suggesting that increasing habitual water intake to 8 cups/d may be simple in concept, but difficult or impractical in reality, raising the issue of feasibility. Environmental barriers and challenges outside the home may have been key factors compromising adherence. Given these barriers, the observed increase in water intake may be at best what can be expected among adolescents.

Almost one-third of the Water group reported not being able to drink water in class at school, presenting a significant barrier to adherence. Furthermore, ~40% reported lack of convenient places to drink water from a fountain or refill a water bottle outside of school or home. These barriers may have limited the ability of our participants to achieve the “8×8” recommendation. Access to drinking water often is compromised in schools due to older plumbing infrastructure and related cost implications and/or municipal water safety issues 38,39. These challenges may also be contributors to the high rate of dehydration among adolescents 4. Future studies testing advice to drink 8 cups/d water for weight loss will need to consider study designs that overcome the environmental barriers associated with the provision and/or accessibility of potable water, such as placement of ‘water jets’ in school cafeterias to increase access to drinking water 40.

Strengths of the present study include the randomized design, inclusion of a pediatric population, 100% completion rate, and masking of participants to the specific aims of the study. Additional strengths include the control for treatment intensity, a well differentiated water message with the same background standard weight-reducing intervention, and use of various behavioral supports to maximize differentiation and adherence. In addition to the suboptimal adherence to the “8×8” recommendation as discussed above, other study limitations include small sample size and reliance on self-report for dietary assessment, recognizing the well-documented potential for recall and social desirability biases.

In conclusion, the present study found that advice and behavioral supports to consume 8 cups water/d in the context of a weight-reducing diet had no added benefits on body weight reduction among adolescents with overweight or obesity. Despite intensive behavioral supports, few achieved the 8 cups/d water target, likely due to environmental barriers. Future research to test feasibility and effectiveness may need to focus on environmental interventions – such as water provision at school – to achieve the target of 8 cups/d.

Supplementary Material

Protocol
eTables

KEY POINTS.

Question

Are there differences in weight loss between two standardized weight-loss diets, either with or without additional advice and behavioral support to increase habitual water intake to 8 cups/d?

Findings

In this randomized controlled trial of 38 adolescents with overweight or obesity, the 6-month change in BMI z-score did not differ significantly between groups. Increasing water intake to 8 cups/d may not be feasible without interventions focused on environmental barriers and challenges.

Meaning

Additional advice and behavioral supports to consume 8 cups water/d in the context of a weight-reducing diet did not affect body weight in adolescents.

Acknowledgments

We thank Jacqueline Ballou, MS, RD (Boston Children’s Hospital, Boston, Massachusetts) for assistance in delivering the dietary interventions; Jillian Aronovitz, BA and Meghan Leary, BA (Boston Children’s Hospital, Boston, Massachusetts) for clinic recruitment, organization of study visits, data collection, and data entry; Linda Seger-Shippee, DT (Boston Children’s Hospital, Boston, Massachusetts) for conducting the 24-hour dietary and physical activity recall interviews; Sarah Steltz, MPH (Boston Children’s Hospital, Boston, Massachusetts) for quality control protocols and development and maintenance of the REDCap database; Catherine Matero, BS, and Veronica Gragnano, MA (Boston Children’s Hospital, Boston, Massachusetts) for administrative support; and clinic providers at Boston Children’s Hospital, and The Pediatric Physicians’ Organization at Children’s (PPOC) for recruitment efforts. Mss. Ballou, Aronovitz, Leary, Seger-Shippee, Steltz, Matero, and Gragnano received compensation for their work in the form of salary support. The physicians from PPOC received compensation in the form of a nominal fee ($20) per valid HIPAA Authorization form returned to the study office, this was for the time involved in completing the necessary form. We also thank Bodimojo.com for providing us with the “teen-generated and approved” encouraging and supportive text messages. We would also like to express our sincere gratitude to the staff of the Center for Young Women’s Health and the Young Men’s Health Task Force at Boston Children’s Hospital for effort and support in developing and producing the Quick and Easy Recipes for Teens - A Cookbook and Guide to Healthy Eating. The Center for Young Women’s Health and the Young Men’s Health Task Force at Boston Children’s Hospital received compensation for developing and producing the Cookbook.

Sources of Support: This work was conducted with grants from the Airborne Cy Pres Fund and New Balance Foundation and with support from the Harvard Catalyst (Harvard Clinical and Translational Science Center, National Center for Research Resources and the National Center for Advancing Translational Sciences, National Institutes of Health Award UL1 TR001102).

Dr. Wong was a recipient of a Canadian Institutes of Health Research (CIHR) Fellowship Award in the area of Clinical Research and a CIHR Randomized Controlled Trials—Mentoring Program Training Grant. Dr. Ludwig was supported by a mid-career mentoring award from the National Institute of Diabetes and Digestive and Kidney Diseases (K24 DK082730).

Footnotes

The content is solely the responsibility of the authors and does not necessarily represent the official views of the funders.

Conflicts of Interest Disclosures

Dr. Ludwig received royalties for books on obesity and nutrition. Other authors declare no conflicts of interest relevant to this manuscript.

Authors’ Contributions

JMWW, CBE, HF, and DSL designed research; JMMW and LR conducted research; JMMW and HF analyzed data; JMMW, CBE, HF, and DSL wrote the paper; JMMW and DSL have primary responsibility for final content. All authors read and approved the final manuscript.

DSL and JMWW had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.

Role of Sponsor

The funding organizations played no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.

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