Next Article in Journal
Thyroid Function among Breastfed Children with Chronically Excessive Iodine Intakes
Previous Article in Journal
Improvements in Cycling but Not Handcycling 10 km Time Trial Performance in Habitual Caffeine Users
 
Search for Articles:
Title / Keyword
Author / Affiliation
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
Journals
Nutrients
Volume 8
Issue 7
10.3390/nu8070395
nutrients-logo
Submit to this Journal Review for this Journal Edit a Special Issue
► Article Menu

Article Menu

share announcement question_answer thumb_up
...
textsms
...
Article

Modeling the Effect of Replacing Sugar-Sweetened Beverage Consumption with Water on Energy Intake, HBI Score, and Obesity Prevalence

by
Kiyah J. Duffey
1,2,* and
Jennifer Poti
3
1
Department of Human Nutrition, Foods and Exercise, Virginia Tech, 338 Wallace Hall, Blacksburg, VA 24061, USA
2
Kiyah Duffey Consulting, Inc., 1807 Asher Lane, Blacksburg, VA 24060, USA
3
Department of Nutrition, University of North Carolina at Chapel Hill, Campus Box #8120, 137 East Franklin Street, Chapel Hill, NC 27516, USA
*
Author to whom correspondence should be addressed.
Nutrients 2016, 8(7), 395; https://doi.org/10.3390/nu8070395
Received: 15 April 2016 / Revised: 9 June 2016 / Accepted: 21 June 2016 / Published: 28 June 2016
Download PDF
Browse Figures

Abstract

Sugar-sweetened beverages (SSB) contribute to excessive weight gain through added energy intake. Replacing SSB with water is one strategy that has shown promise in helping lower excessive energy intake. Using nationally representative data from US adults (n = 19,718) from NHANES 2007–2012 we examine the impact of replacing SSB with water on Healthy Beverage Index (HBI) scores and obesity prevalence. Replacing an 8-ounce serving of SSB with water lowered the percent of energy from beverages from 17% to 11% (among those consuming 1 serving SSB/day). Reductions in the percent energy from beverages were observed across all SSB consumption groups (1–2 servings/day and >2 servings/day). Among adults there was a 9% to 21% improvement in HBI score when one serving of water replaced one serving of SSB. Using previously published randomized controlled trials (RCT) and meta-analyses of measured weight loss we also predicted a reduction in the prevalence of obesity (observed: 35.2%; predicted 33.5%–34.9%, p < 0.05) and increase in the prevalence of normal weight (observed: 29.7%; high weight loss: 31.3%, p < 0.05). Our findings provide further epidemiologic evidence that water in the place of SSB can be used as a strategy to limit energy intake and help individuals meet beverage intake recommendations.
Keywords: sugar-sweetened beverages; water; adults; children; modeling; calories sugar-sweetened beverages; water; adults; children; modeling; calories

1. Introduction

Beverages are significant contributors to the daily diets of US adults and have been associated with health through a number of different pathways [1]. Sugar-sweetened beverages (SSB), including soda and sweetened fruit drinks in particular, have remained at the forefront of obesity-related policy debates due to their contribution to excess energy intake and the observation that liquid calories (e.g., beverages) may [2,3,4] or may not [5,6,7] be as satiating as calories in solid form (e.g., food). Regular SSB consumption has been positively associated with increased body weight and risk of obesity [8,9,10,11,12,13], diabetes [9,14,15,16], cardiovascular disease [10], and adverse dietary intake patterns [10,17]. While there is increasingly consistent evidence suggesting that total SSB consumption has been declining over the past 10–15 years [18,19], current consumption levels among many racial/ethnic, age, and income groups nationally (and internationally [20]) remain higher than recommended [19]. For example, while the prevalence of soda consumption among US adolescents decreased between 1999 and 2010, the prevalence of energy drink consumption tripled over that same time period [19].
Maintaining adequate hydration, specifically through water consumption, is associated with a number of beneficial health outcomes including maintaining peak physical and cognitive performance [21], weight management [22] and weight gain prevention [23], and improving metabolic rate [24]. Though there is not a Recommended Daily Allowance for total water intake, the Institute of Medicine’s Food and Nutrition Board suggested a Daily Recommended Intake for adult males and non-pregnant, non-lactating females over 19 years of 3.7 L/day and 2.7 L/day, respectively. Although water intake remains below recommended levels among most segments of the population [24,25], bottled water is poised to overtake soda as the top selling beverage (by volume) [26,27], and powerful new marketing campaigns [28] are hoping to change the way Americans think about water, bottled and tap [29].
Among the top recommendations put forth in the 2015 Dietary Guidelines for Americans is to shift to healthier food and beverage choices [30], specifically that Americans should “shift to reduce added sugar consumption to less than 10 percent of calories per day” [30]. The guidelines additionally state that when choosing beverages “calorie and nutrient contribution to the diet should be considered” and that “calorie-free beverages—especially water—should be favored” [30]. Making individual beverage choice changes can be a challenge because recommendations are not put into the broader context of overall beverage and dietary intake patterns. The Healthy Beverage Index (HBI) [31] was designed to overcome that challenge by providing a system for evaluating overall beverage quality and comparing that intake against standards set forth by the Dietary Guidelines for Americans and the Beverage Guidance Panel [32]. Furthermore, preliminary studies indicate that higher HBI scores are positively associated with cardiovascular health [31,33] and may, therefore, prove a useful tool for evaluating the beneficial impact that changes in beverage consumption patterns might have on health.
The purpose of the present study was to evaluate the potential impact of replacing one serving of SSB with water on HBI score and overweight prevalence.

2. Materials and Methods

2.1. Study Population

Nationally representative data from US adults (aged 19 and older, n = 19,718) from the 2007–2012 National Health and Nutrition Examination Survey (NHANES) and What We Eat in America dietary intake portion of the NHAHES datasets were used in this study. Individuals with missing dietary data (n = 3289) were excluded from all analyses leaving a final analytic sample of n = 16,429. Sampling methods for continuous NHANES datasets are described in detail elsewhere [34].

2.2. Dietary Intake and Beverage Groups

Dietary data were collected using an interviewer administered 24-h recall conducted in-person by trained interviewers during the medical exam in the Mobile Exam Center (MEC) using the United State Department of Agriculture’s (USDA) Automated Multiple Pass Method. A complete description of the survey design is available elsewhere [35,36].
Each food or beverage was recorded by using a discrete food code and matched to nutrient information from the USDA’s Food and Nutrient Database for Dietary Studies (FNDDS) versions 4.1 (2007–2008), 5.0 (2009–2010), and FNDDS 2011–2012 (2011–2012) [37]. Beverages were initially classified according to the Global Food Research Program at University of North Carolina-Chapel Hill Food Grouping System [38], which categorizes beverages separately based on their differential effects on satiety and weight gain. These groups were further condensed in accordance with the Healthy Beverage Index (HBI) guidelines [31] into the following eight groups: Water, Unsweetened Coffee and Tea, Low-Fat (<1.5% and soy) and Skim Milk (hereafter Low-Fat Milk), Diet beverages (including non-calorically sweetened coffee and tea), 100% Fruit Juice, Alcohol (including beer, wine and liquor), Whole Milk (≥1.5% fat), and SSB (including soda, fruit drinks, sweetened coffee and tea, energy drinks and other beverages (e.g., meal replacement drinks).

2.3. Healthy Beverage Index

Development and scoring of the HBI has been previously described in detail [31]. Briefly, the ten individual components of the HBI were calculated and scored on a range from 0 to 100 for each participant according to published guidelines. A full description of the final individual 10 components and their scoring criteria can be found in Appendix A. A higher score indicates better adherence to beverage guidelines and an overall healthier beverage intake pattern.

2.4. Anthropometrics

Anthropometric data were collected during the in-person medical exam in the MEC by trained health technicians with participants dressed in light clothing using a digital scale and standing stadiometer. Height was measured to the nearest 0.5 cm, and weight was measured to the nearest 0.1 kg. Body Mass Index (BMI) was calculated as weight in kilograms divided by height in meters squared, and then rounded to one decimal place. Individuals were grouped into the following BMI categories: Underweight (<18.5 kg/m2), Normal Weight (18.5–24.9 kg/m2), Overweight (25.0–29.9 kg/m2), and Obese (≥30.0 kg/m2).

2.5. Statistical Analyses

Analyses were conducted using Stata version 13 (Stata Corp., College Station, TX, USA). Mean (standard error (SE)) baseline levels of beverage and macronutrient intake for children and adults were determined across age groups. The number of 8-ounce (oz) servings of SSB was also determined for all age groups, and individuals were classified as consuming <1 serving, 1–2 servings, or >2 servings over the previous 24 h period. Total energy from all food and beverages and total energy from beverages alone were also calculated and used to generate a measure of percent of energy from beverages. Mean (SE) HBI scores were determined at baseline and recalculated after replacing 1 serving of SSB with 1 serving of water (predicted score). One 8 oz serving was assumed to equal 237 mL of water, and an average reduction of 100 kcal/8 oz SSB was used to estimate changes in energy intake. The change in HBI score was then calculated between the observed score and predicted score, and the percent change in HBI between predicted and observed was then calculated. Student’s t-tests, with Bonferroni correction for multiple comparisons, were used to determine statistical significance between observed and predicted HBI scores. Significance level was set at p < 0.05.
To predict the impact of replacing one serving of SSB with one serving of water, we applied observed changes in weight from previously published, peer-reviewed randomized controlled trials (RCT) or intervention studies [39], to our population across SSB consumption groups. Specifically, the observed range of changes in weight was from −0.40 kg weight loss to −1.99 kg weight loss [39]. Using these predicted weights, we recalculated BMI and weight classification (normal weight, overweight, obese) to determine the potential impact on overweight and obesity prevalence we might expect from the substitution.
Results were weighted to account for study design and to be nationally representative. The NHANES was approved by the National Center for Health Statistics Research Ethics Review Board. The present study used de-identified publicly available data from NHANES [40] and is therefore exempt from Institutional Review Board approval.

3. Results

3.1. Sugar Sweetened Beverage Consumption

Differences in intake (ounces (oz)) of individual beverage groups exist across age groups (Table 1). Among adults, water consumption is at its highest for adults aged 19–29 then drops in older age groups. Younger and middle aged adults (aged 19–49) consume the largest absolute number and the largest proportion of their calories from beverages, at 21% (Table 1). The oldest adults (66+) are consuming a greater proportion of water compared to SSBs. 19–29 year olds consume roughly 2.5 times more water than SSB whereas adults 66+ years old consume roughly 6.5 times more water than SSB.
Older adults had the highest proportion of non-consumers and the smallest proportion of high SSB consumers (>2 SSB servings, Table 2). Those considered the highest consumers of SSB (>2 servings/day) were predominately younger and middle-aged adults (aged 19–49). The youngest age group had the largest average SSB consumption among SSB consumers (29.6 oz) and among the age group more broadly (18.5 oz). SSB consumption in the full sample and among consumers decreased among older individuals (Table 2).
Replacing one 8 oz SSB serving with one 8 oz serving of water resulted in considerable change in total energy from beverages and percent of energy from beverages across all age groups (Table 3) with the largest change observed among those who consumed just one SSB serving in the previous 24 h. Among adults who consumed one SSB serving, replacing that with one serving of water resulted in a 33% decrease in total energy and a decrease in the percent of energy from beverages. This resulted in a lowering of their percent of energy from beverages to within the acceptable range [26] of 10%–14% (Table 3).

3.2. Impact on Healthy Beverage Index Scores

The distribution of average HBI score among adults is shown in Table 4. Across all age groups, SSB non-consumers had the highest HBI score (indicating greatest adherence to beverage guidelines and recommendations, ranging from 79 to 81 (of 100)). HBI scores were progressively lower with each additional serving of SSB reported as consumed. Older adults (aged 66+) who consumed >2 servings of SSB had the lowest HBI score (mean (SD): 54.4 (0.7)), younger adults (aged 19–29) who were SSB non-consumers had the highest (mean (SD): 81.0 (0.7)).
Replacing one serving of SSB with water was predicted to improve HBI scores regardless of age groups and across all levels of SSB consumption (Figure 1). At the highest level of SSB consumption (>2 servings SSB), the impact of replacing one serving of SSB with water was greatest for the oldest age group (66+ years, 12.3% increase in HBI score). Regardless of age, replacing one serving of SSB with water had the greatest impact on HBI score among those who consumed between 1 and 2 servings of SSB (range: 21.9%–24.8% increase in HBI score, Figure 1), and this effect was greater for those in older (66+ years) compared to younger (19–29 years) age groups.

3.3. Predicted Impact on Overweight and Obesity Prevalence

Using weight change values reported in the literature [39], predicted weight change in our sample among those who replaced one serving SSB with one serving of water ranged from −0.40 kg to −1.99 kg among adults (observed over 8 and 6 months intervention follow-up times, respectively). Using these new, predicted, weight values and individual’s measured heights, we estimate a statistically significant reduction in the prevalence of obesity and a statistically significant increase in the prevalence of normal weight BMI among adults who replace one serving of SSB with one serving of water (Figure 2).

4. Discussion

This present study confirmed previous reports that a considerable portion of adults are regular consumers of SSB and that those who frequently consume SSB have higher levels of total energy intake as well as energy from beverages. Individuals who consumed a higher number of servings of SSB also had significantly lower HBI scores, indicating that they were further from meeting beverage recommendations compared to those who were SSB non-consumers. In the present study we also report that replacing one serving of SSB with one serving of water significantly improved HBI scores, lowered percent of energy from beverages across intake groups and, in the lowest intake group (1 serving SSB) allowed them to meet the recommendation of consuming <14% of total energy from beverages. Lastly, our findings provide further evidence that water replacement may be an effective strategy for adults concerned about excessive weight. The energy reduction associated with water replacement we predict would significantly lower the proportion of adults classified as obese from 35% down to 32% of the population.
Similar results have been previously reported. A recently published study of more than 18,000 adults using US-based nationally representative dietary intake surveys predicted that a 1 percentage point increase in the proportion of daily plain water was associated with a reduction of roughly 8.5 kcal/day [25]. This finding has been confirmed in experimental and epidemiological studies, where pre-meal water consumption has been documented to reduce meal energy intake in various groups of individuals, including those who are overweight and obese and among older adults [41,42,43]. Given these previously estimated energy savings (68 kcal savings with an 8 ounce replacement of water for SSB [25]), and the fact that roughly 30% of US adults drink one or more servings of SSB/day [44], swapping water for SSB could reduce an estimated 3.9 billion calories from US adult diets daily. Using the observed prevalence of adults consuming at least one SSB serving/day in this study (41.4%), this saving could be as high as 5.8 billion calories saved from American adult diets daily.
Evidence of the impact of SSB reduction on body weight is unequivocal. Using nationally representative data from the UK, Ma et al. [45] report that an estimated 40% reduction in free sugars added to SSB over five years would result in an estimated 1.2 kg body weight reduction and a 1% point decrease in the prevalence of overweight and 2.1% point decrease in the prevalence of obesity among adults [45]. In the US, each one cup per day increment of water intake was inversely associated with weight gain over a 4 year period [23] and a 2013 meta-analysis of RCTs provide fairly convincing evidence that decreasing SSB consumption will decrease the risk of obesity and obesity related diseases such as Type 2 diabetes [8]. Daniels and Popkin additionally state that findings from clinical trials and epidemiologic and intervention studies suggest water has a potentially important role to play in reducing energy intake, and consequently in obesity prevention [46]. These findings have been replicated in non-US settings as well [16,47,48]. However, Hernandez-Cordero et al. [49] found there was no effect of the intervention on triglyceride concentration or on any of the studied outcomes (including weight and waist circumference) in a group of overweight and obese Mexican women [50].
Nonnutritive, or diet, beverages as a replacement for SSB (instead of water) have also been suggested as a means to promote weight loss or encourage weight maintenance, but the findings from these studies are also equivocal. Recently published results from a 1-year RCT evaluating the effects of water compared to low-calorie sweetener (LCS) beverages on body weight in subjects participating in a commercially available weight loss treatment program reported greater 1-year weight loss maintenance among those in the LCS compared to water groups (6.21 kg vs. 2.75 kg respectively) [51]. Others report no difference in weight loss (after 6 months) in the Low-Calorie Beverage compared to Water intervention group [52]. However, they did find that participants in the Water arm of the intervention significantly increased their consumption of fruits and vegetables [53] and had greater reductions in other important markers of health including fasting glucose and improved hydration [53]. Earlier research has shown that dietary and beverage patterns are associated with one another, suggesting that choosing water over diet beverages, as a replacement for SSB, may be associated with other healthy dietary choices [54,55,56].
The studies from which our weight-loss estimates were drawn were based on weight loss observed in randomized controlled trials, which lasted 6 (−0.40 kg weight loss) and 8 months (−1.99 kg weight loss) in a free-living population. In the context of evaluating potential weight loss, this is a meaningful distinction because RCTs that use a controlled feeding methodology may have limited generalizability to a free-living population [57]. Our study did not specifically examine or model the potential compensatory changes in dietary components (including foods and beverages) or in other behaviors like changes in physical activity, except to the extent that these compensatory changes were observed in the free-living population participating in the original weight loss studies themselves [39].
Although trends indicate some decline in intake of sugar sweetened beverages, most Americans are still consuming too many calories from beverages, and from sugar-sweetened beverages specifically. There is ample evidence to suggest that this overconsumption is a contributing factor to excessive weight gain and that options for reducing energy intake, especially the excess energy from beverages, can help limit this excessive weight gain and might even contribute to weight maintenance or weight loss. Results from our study provide further evidence that replacing SSB with water is one potential strategy to achieve these energy reductions and which could benefit adults in the US. Evaluating the impact of water replacement on diet and weight in children and the development of the HBI for a pediatric population are important directions for future research on this topic.

Acknowledgments

The present study was funded by the Drinking Water Research Foundation.

Author Contributions

K.J.D. conceived of and designed the study, analyzed the data, and wrote the paper; J.P. contributed data and provided critical review of the manuscript.

Conflicts of Interest

K.J.D. received funding from the Drinking Water Research Foundation to conduct the present study. The funding sponsors had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, and in the decision to publish the results. J.P. has no conflicts of interest to declare.

Abbreviations

The following abbreviations are used in this manuscript:
BMIBody Mass Index
DOAJDirectory of Open Access Journals
FNDDSFood and Nutrient Database for Dietary Studies
HBIHealthy Beverage Index
MECMobile Exam Center
MDPIMultidisciplinary Digital Publishing Institute
NHANESNational Health and Nutrition Examination Survey
ozOunces
RCTRandomized Controlled Trial
SSBsugar-sweetened beverages
USDAUnited States Department of Agriculture

References

  1. Popkin, B.M.; Bray, G.A.; Hu, F. The role of high sugar foods and sugar-sweetened beverages in weight gain and obesity. In Managing and Preventing Obesity: Behavioral Factors and Dietary Interventions; Gill, T., Ed.; Woodhead Publishing: Cambridge, UK, 2015; pp. 45–57. [Google Scholar]
  2. Zijlstra, N.; Mars, M.; de Wijk, R.A.; Westerterp-Plantenga, M.S.; de Graaf, C. The effect of viscosity on ad libitum food intake. Int. J. Obes. Lond. 2008, 32, 676–683. [Google Scholar] [CrossRef] [PubMed]
  3. Cassady, B.A.; Considine, R.V.; Mattes, R.D. Beverage consumption, appetite, and energy intake: What did you expect? Am. J. Clin. Nutr. 2012, 95, 587–593. [Google Scholar] [CrossRef] [PubMed]
  4. Zhu, Y.; Hsu, W.H.; Hollis, J.H. The impact of food viscosity on eating rate, subjective appetite, glycemic response and gastric emptying rate. PLoS ONE 2013, 8, e67482. [Google Scholar] [CrossRef] [PubMed]
  5. Martin, A.A.; Hamill, L.R.; Davies, S.; Rogers, P.J.; Brunstrom, J.M. Energy-dense snacks can have the same expected satiation as sugar-containing beverages. Appetite 2015, 95, 81–88. [Google Scholar] [CrossRef] [PubMed]
  6. Drewnowski, A.; Bellisle, F. Liquid calories, sugar, and body weight. Am. J. Clin. Nutr. 2007, 85, 651–661. [Google Scholar] [PubMed]
  7. Almiron-Roig, E.; Chen, Y.; Drewnowski, A. Liquid calories and the failure of satiety: How good is the evidence? Obes. Rev. 2003, 4, 201–212. [Google Scholar] [CrossRef] [PubMed]
  8. Hu, F.B. Resolved: There is sufficient scientific evidence that decreasing sugar-sweetened beverage consumption will reduce the prevalence of obesity and obesity-related diseases. Obes. Rev. 2013, 14, 606–619. [Google Scholar] [CrossRef] [PubMed]
  9. Scientific Report of the 2015 Dietary Guidelines Advisory Committee (DGAC Report). Dietary Guidelines Website; Released February 23. Available online: http://health.gov/dietaryguidelines/2015-scientific-report/pdfs/scientific-report-of-the-2015-dietary-guidelines-advisory-committee.pdf (accessed on 5 August 2015).
  10. Yang, Q.; Zhang, Z.; Gregg, E.W.; Flanders, W.D.; Merritt, R.; Hu, F.B. Added sugar intake and cardiovascular diseases mortality among US adults. JAMA Intern. Med. 2014, 174, 516–524. [Google Scholar] [CrossRef] [PubMed]
  11. Malik, V.S.; Schulze, M.B.; Hu, F.B. Intake of sugar-sweetened beverages and weight gain: A systematic review. Am. J. Clin. Nutr. 2006, 84, 274–288. [Google Scholar] [PubMed]
  12. Centers for Disease Control and Prevention. Surveillance Summaries: Youth Risk Behavior Surveillance—United States, 2005; MMWR: Morbidity & Mortality Weekly Report; CDC: Atlanta, GA, USA, 2006; Volume 55. [Google Scholar]
  13. Block, G. Foods contributing to energy intake in the US: Data from NHANES III and NHANES 1999–2000. J. Food Compost. Anal. 2006, 17, 439–447. [Google Scholar] [CrossRef]
  14. Imamura, F.; O’Connor, L.; Ye, Z.; Mursu, J.; Hayashino, Y.; Bhupathiraju, S.N.; Forouhi, N.G. Consumption of sugar sweetened beverages, artificially sweetened beverages, and fruit juice and incidence of type 2 diabetes: Systematic review, meta-analysis, and estimation of population attributable fraction. BMJ 2015, 351. [Google Scholar] [CrossRef] [PubMed]
  15. Malik, V.; Popkin, B.; Bray, G.; Despres, J.; Hu, F. Sugar-sweetened beverages, obesity, type 2 diabetes mellitus, and cardiovascular disease risk. Circulation 2010, 121, 1356–1364. [Google Scholar] [CrossRef] [PubMed]
  16. O’Connor, L.; Imamura, F.; Lentjes, M.A.; Khaw, K.T.; Wareham, N.J.; Forouhi, N.G. Prospective associations and population impact of sweet beverage intake and type 2 diabetes, and effects of substitutions with alternative beverages. Diabetologia 2015, 58, 1474–1483. [Google Scholar] [CrossRef] [PubMed]
  17. Bleich, S.N.; Wolfson, J.A. U.S. adults and child snacking patterns among sugar-sweetened beverage drinkers and non-drinkers. Prev. Med. 2016, 72, 8–14. [Google Scholar] [CrossRef] [PubMed]
  18. Kit, B.K.; Fakhouri, T.H.I.; Park, S.; Nielsen, S.J.; Ogden, C.L. Trends in sugar-sweetened beverage consumption among youth and adults in the United States: 1999–2010. Am. J. Clin. Nutr. 2013, 98, 180–188. [Google Scholar] [CrossRef] [PubMed]
  19. Han, E.; Powell, L.M. Consumption patterns of sugar sweetened beverages in the United States. J. Acad. Nutr. Diet. 2013, 113, 43–53. [Google Scholar] [CrossRef] [PubMed]
  20. Singh, G.M.; Micha, R.; Khatibzadeh, S.; Shi, P.; Lim, S.; Andrews, K.G.; Engell, R.E.; Ezzati, M.; Mozaffarian, D. Global, regional, and national consumption of sugar-sweetened beverages, fruit juices, and milk: A systematic assessment of beverage intake in 187 countries. PLoS ONE 2015, 10, e0124845. [Google Scholar] [CrossRef] [PubMed]
  21. Riebl, S.K.; Davy, B.M. The hydration equation: Update on water balance and cognitive performance. ACSMs Health Fit. J. 2013, 17, 21–28. [Google Scholar] [PubMed]
  22. Popkin, B.M.; D’Anci, K.E.; Rosenberg, I.H. Water hydration and health. Nutr. Rev. 2010, 68, 439–458. [Google Scholar] [CrossRef] [PubMed]
  23. Pan, A.; Malik, V.S.; Hao, T.; Willett, W.C.; Mozaffarian, D.; Hu, F.B. Changes in water and beverage intake and long-term weight changes: Results from three prospective cohort studies. Int. J. Obes. Lond. 2013, 37, 1378–1385. [Google Scholar] [CrossRef] [PubMed]
  24. Dennis, E.A.; Davy, B.M. Beverage consumption and adult weight management: A review. Eat Behav. 2009, 10, 237–246. [Google Scholar] [CrossRef] [PubMed]
  25. An, R.; McCaffrey, J. Plain water consumption in relation to energy intake and diet quality among US adults, 2005–2012. J. Hum. Nutr. Diet. 2016. [Google Scholar] [CrossRef] [PubMed]
  26. Bottled Water’s Rising Tide. Available online: http://www.beverageworld.com/articles/full/17371/bottled-waters-rising-tide (accessed on 7 March 2016).
  27. Hogan, C. Bottled Water Trends for 2014; Food Manufacturing: Madison, WI, USA, 2014; p. 38. [Google Scholar]
  28. Drink up Campaign. Available online: http://youarewhatyoudrink.org (accessed on 7 March 2016).
  29. Corporate Accountability International. Available online: http://www.stopcorporateabuse.org/campaigns/challenge-corporate-control-water/think-outside-bottle (accessed on 7 March 2016).
  30. 2015–2020 Dietary Guidelines for Americans. Chapter 2: Shifts Need to Align with Healthy Eating Patterns. Available online: http://health.gov/dietaryguidelines/2015/guidelines/chapter-2/a-closer-look-at-current-intakes-and-recommended-shifts/ (accessed on 4 March 2016).
  31. Duffey, K.J.; Davy, B.M. The healthy beverage index is associated with reduced cardiometabolic risk in US adults: A preliminary analysis. J. Acad. Nutr. Diet. 2015, 115, 1682–1689. [Google Scholar] [CrossRef] [PubMed]
  32. Popkin, B.M.; Armstrong, L.E.; Bray, G.M.; Caballero, B.; Frei, B.; Willett, W. A new proposed guidance system for beverage consumption in the United States. Am. J. Clin. Nutr. 2006, 83, 529–542. [Google Scholar] [PubMed]
  33. Hedrick, V.E.; Davy, B.M.; Myers, E.A.; You, W.; Zoellner, J.M. Changes in the healthy beverage index in response to an intervention targeting a reduction in sugar-sweetened beverage consumption as compared to an intervention targeting improvements in physical activity: Results from the talking health trial. Nutrients 2015, 7, 10168–10178. [Google Scholar] [CrossRef] [PubMed]
  34. Continuous NHANES Web Tutorial: Survey Design Factors Course. Available online: http://www.cdc.gov/nchs/tutorials/Nhanes/SurveyDesign/intro.htm (accessed on 4 March 2016).
  35. NHANES MEC Interviewers Procedures Manual. Available online: http://www.cdc.gov/nchs/data/nhanes/nhanes_05_06/mec_interview.pdf (accessed on 4 March 2016).
  36. Key Concepts about NHANES Dietary Data Collection. Availble online: http://www.cdc.gov/nchs/tutorials/Dietary/SurveyOrientation/DietaryDataOverview/Info2.htm (accessed on 4 March 2016).
  37. United States Department of Agriculture (USDA), Agricultural Research Service. USDA Food and Nutrient Database for Dietary Studies. Available online: http://www.ars.usda.gov/services/docs.htm?docid=12089 (accessed on 7 March 2016).
  38. Slining, M.M.; Yoon, E.; Davis, J.; Hollingsworth, B.; Miles, D.; Ng, S.W. An approach to monitor food and nutrition from “factory to fork”. J. Acad. Nutr. Diet. 2015, 115, 40–49. [Google Scholar] [CrossRef] [PubMed]
  39. Te Morenga, L.; Mallard, S.; Mann, J. Dietary sugars and body weight: Systematic review and meta-analyses of randomised controlled trials and cohort studies. BMJ 2012, 345, e7492. [Google Scholar] [CrossRef] [PubMed]
  40. Centers for Disease Control and Prevention. National Health and Nutrition Examination Survey. Available online: http://www.cdc.gov/nchs/nhanes.htm (accessed on 7 March 2016).
  41. Davy, B.M.; Dennis, E.A.; Dengo, A.L.; Wilson, K.L.; Davy, K.P. Water consumption reduces energy intake at a breakfast meal in obese older adults. J. Am. Diet. Assoc. 2008, 108, 1236–1239. [Google Scholar] [CrossRef] [PubMed]
  42. Van Walleghen, E.L.; Orr, J.S.; Gentile, C.L.; Davy, B.M. Premeal water consumption reduces meal energy intake in older but not younger subjects. Obesity 2007, 15, 93–99. [Google Scholar] [CrossRef] [PubMed]
  43. Stookey, J.D.; Constant, F.; Gardner, C.D.; Popkin, B.M. Replacing sweetened caloric beverages with drinking water is associated with lower energy intake. Obesity 2007, 15, 3013–3022. [Google Scholar] [CrossRef] [PubMed]
  44. Park, S.; Xu, F.; Town, M.; Blanck, H.M. Prevalence of sugar-sweetened beverage intake among adults—23 states and the district of Columbia, 2013. Morb. Mortal. Wkly. Rep. 2016, 65, 169–174. [Google Scholar] [CrossRef] [PubMed]
  45. Ma, Y.; He, F.J.; Yin, Y.; Hashem, K.M.; MacGregor, G.A. Gradual reduction of sugar in soft drinks without substitution as a strategy to reduce overweight, obesity, and type 2 diabetes: A modelling study. Lancet Diabetes Endocrinol. 2016, 4, 105–114. [Google Scholar] [CrossRef]
  46. Daniels, M.C.; Popkin, B.M. Impact of water intake on energy intake and weight status: A systematic review. Nutr. Rev. 2010, 68, 505–521. [Google Scholar] [CrossRef] [PubMed]
  47. Zheng, M.; Allman-Farinelli, M.; Heitmann, B.L.; Rangan, A. Substitution of sugar-sweetened beverages with other beverage alternatives: A review of long-term health outcomes. J. Acad. Nutr. Diet. 2015, 115, 767–779. [Google Scholar] [CrossRef] [PubMed]
  48. Muckelbauer, R.; Sarganas, G.; Grüneis, A.; Müller-Nordhorn, J. Association between water consumption and body weight outcomes: A systematic review. Am. J. Clin. Nutr. 2013, 98, 282–299. [Google Scholar] [CrossRef] [PubMed]
  49. Hernández-Cordero, S.; Popkin, B.M. Impact of a water intervention on sugar-sweetened beverage intake substitution by water: A clinical trial in overweight and obese Mexican women. Nutr. Metab. 2015, 66, 22–25. [Google Scholar] [CrossRef] [PubMed]
  50. Jiménez-Cruz, A.; Gómez-Miranda, L.M.; Bacardí-Gascón, M. Randomized clinical trials of the effect of sugar sweetened beverages consumption on adiposity in youngers than 16 y old; systematic review. Nutr. Hosp. 2013, 28, 1797–1801. [Google Scholar] [PubMed]
  51. Peters, J.C.; Beck, J.; Cardel, M.; Wyatt, H.R.; Foster, G.D.; Pan, Z.; Wojtanowski, A.C.; Vander Veur, S.S.; Herring, S.J.; Brill, C.; et al. The effects of water and non-nutritive sweetened beverages on weight loss and weight maintenance: A randomized clinical trial. Obesity 2016, 24, 297–304. [Google Scholar] [CrossRef] [PubMed]
  52. Tate, D.F.; Turner-McGrievy, G.; Lyons, E.; Stevens, J.; Erickson, K.; Polzien, K.; Diamond, M.; Wang, X.; Popkin, B.M. Replacing caloric beverages with water or diet beverages for weight loss in adults: Main results of the Choose Healthy Options Consciously Everyday (CHOICE) randomized clinical trial. Am. J. Clin. Nutr. 2012, 95, 555–563. [Google Scholar] [CrossRef] [PubMed]
  53. Piernas, C.; Tate, D.F.; Wang, X.; Popkin, B.M. Does diet-beverage intake affect dietary consumption patterns? Results from the Choose Healthy Options Consciously Everyday (CHOICE) randomized clinical trial. Am. J. Clin. Nutr. 2013, 97, 604–611. [Google Scholar] [CrossRef] [PubMed]
  54. Hedrick, V.; Davy, B.M.; Duffey, K.J. Is beverage consumption related to specific dietary patterns? Curr. Nutr. Res. 2015, 4, 72–81. [Google Scholar] [CrossRef]
  55. Duffey, K.J.; Steffen, L.M.; Van Horn, L.; Jacobs, D.R., Jr.; Popkin, B.M. Dietary patterns matter: Diet beverages and cardiometabolic risks in the longitudinal Coronary Artery Risk Development in Young Adults (CARDIA) Study. Am. J. Clin. Nutr. 2012, 95, 909–915. [Google Scholar] [CrossRef] [PubMed]
  56. Duffey, K.J.; Popkin, B.M. Adults with healthier dietary patterns have healthier beverage patterns. J. Nutr. 2006, 136, 2901–2907. [Google Scholar] [PubMed]
  57. Willett, W. Nutritional Epidemiology; Oxford University Press: New York, NY, USA, 1998; Volume 30. [Google Scholar]
Nutrients 08 00395 g001 1024
Figure 1. Predicted percent change in HBI score among adults across levels of SSB consumption as a result of replacing one serving of SSB with one serving of water. HBI = Healthy Beverage Index; SSB = Sugar Sweetened Beverages.
Figure 1. Predicted percent change in HBI score among adults across levels of SSB consumption as a result of replacing one serving of SSB with one serving of water. HBI = Healthy Beverage Index; SSB = Sugar Sweetened Beverages.
Nutrients 08 00395 g001
Nutrients 08 00395 g002 1024
Figure 2. Percent of adults predicted as normal weight, overweight, or obese using predicted weight change [39] associated with substitution of one serving SSB with one serving water. Columns with different letters indicates statistical significance within weight category, p < 0.05 with Bonferroni correction for multiple comparisons.
Figure 2. Percent of adults predicted as normal weight, overweight, or obese using predicted weight change [39] associated with substitution of one serving SSB with one serving water. Columns with different letters indicates statistical significance within weight category, p < 0.05 with Bonferroni correction for multiple comparisons.
Nutrients 08 00395 g002
Table
Table 1. Reported consumption of beverages, energy, and macronutrients among adults (19+), NHANES 2007–2012.
Table 1. Reported consumption of beverages, energy, and macronutrients among adults (19+), NHANES 2007–2012.
Beverage Groups (oz)Age Group
19–2930–4950–6566+
Mean (SE), oz
Water41 (1.4)40.8 (0.9)35 (1.3)26 (0.7)
Coffee & Tea5 (0.5)12.3 (0.5)20 (0.9)18 (0.6)
Low Fat Milk2 (0.2)2.1 (0.1)3 (0.2)3 (0.1)
Diet beverages3 (0.3)6.1 (0.4)7 (0.4)4 (0.3)
Fruit Juice3 (0.2)2.4 (0.2)2 (0.2)2 (0.1)
Alcohol
Wine0.3 (0.1)0.6 (0.1)1 (0.1)1 (0.1)
Beer7 (0.6)6.5 (0.4)5 (0.7)2 (0.2)
Liquor1 (0.1)0.5 (0.1)0.4 (0.1)0.2 (0.03)
Whole Fat Milk3 (0.2)2.8 (0.2)2 (0.2)3 (0.1)
Sugar-sweetened beverages (SSB)19 (0.8)14.1 (0.6)8 (0.3)4 (0.2)
Energy (kcal)
Total kcal from beverages506 (12)463 (10)371 (12)253 (6)
% kcal from beverages21 (0.4)20 (0.03)18 (0.03)15 (0.03)
Total kcal1831 (25)1820 (19)1706 (17)1479 (14)
Nutrients (% of energy)
Total Fat32 (0.2)33 (0.2)34 (0.2)34 (0.2)
Saturated Fat11 (0.1)11 (0.01)11 (0.1)11 (0.01)
Total Sugar22 (0.2)21 (0.2)20 (0.2)21 (0.1)
Table
Table 2. Distribution of SSB consumption and percent consuming among adults (aged 19+), NHANES 2007–2012.
Table 2. Distribution of SSB consumption and percent consuming among adults (aged 19+), NHANES 2007–2012.
Mean (SE a) SSB b, oz cPercent Consumers by SSB Servings, % (SE)
AgeSample SizeFull SampleAmong ConsumersNon-Consumers1>1–2>2
19–29312318.5 (0.8)29.6 (0.9)37.4 (1.5)4.3 (0.5)16.4 (0.9)41.8 (1.6)
30–49541114.1 (0.6)27.2 (0.7)48.3 (1.3)4.6 (0.4)14.4 (0.8)32.7 (1.2)
50–6543297.6 (0.3)20.8 (0.6)63.4 (1.2)4.4 (0.4)13.3 (0.8)18.9 (1.1)
66+35664.3 (0.2)14.7 (0.5)71.1 (0.9)7.4 (0.6)12.1 (0.8)8.5 (0.5)
19+16,42911.7 (0.3)25.3 (0.5)53.7 (0.9)4.9 (0.3)14.3 (0.5)27.1 (0.7)
a SE = Standard Error; b SSB = Sugar-Sweetened Beverages; c oz = ounces.
Table
Table 3. Impact on total energy and percent of energy from beverages resulting from one replacing one serving SSB with one serving of water among adults (aged 19+), NHANES 2007–2012.
Table 3. Impact on total energy and percent of energy from beverages resulting from one replacing one serving SSB with one serving of water among adults (aged 19+), NHANES 2007–2012.
SSB a,b Consumers, by Servings
Sample size1>1–2>2
254441816081
Total Energy from Beverages
Reported intake323 (14)401 (9)682 (9)
With water replacement223 (14)301 (9)582 (9)
Percent change−33.1−20.2−14.2
Percent energy from beverages
Reported intake17 (0.6)20 (0.3)27 (0.4)
With water replacement11 (0.7)15 (0.3)24 (0.4)
a SSB = Sugar-Sweetened Beverages; b values are % (standard error).
Table
Table 4. Distribution of HBI a score among the full sample and across levels of SSB b consumption, NHANES adults (aged 19+) 2007–2012.
Table 4. Distribution of HBI a score among the full sample and across levels of SSB b consumption, NHANES adults (aged 19+) 2007–2012.
SSB Consumers, Mean (SE c)
Age GroupFull SampleNon-Consumers1 Serving>1–2 Servings>2 Servings
19–2966.2 (0.6)81.0 (0.7) d69.7 (1.5) e60.3 (0.9) f54.9 (0.6) g
30–4968.7 (0.4)80.0 (0.4) d68.7 (1.5) e61.4 (0.5) f55.2 (0.4) g
50–6571.3 (0.3)78.9 (0.3) d68.2 (1.5) e60.2 (0.7) f54.5 (0.5) g
66+73.5 (0.3)79.3 (0.4) d66.7 (1.3) e58.6 (0.6) f54.4 (0.7) g
a HBI = Healthy Beverage Index; b SSB = Sugar Sweetened Beverages; c SE=Standard Error; d,e,f,g within rows (age groups), HBI scores with different letters are statistically significantly different from one another and compared to SSB Non-Consumers.
Back to TopTop