Drinking Water and Weight Management

Water and beverage consumption habits of adults in Turkey by gender and BMI: a cross-sectional survey

The study aims to determine water and beverage consumption status and related factors in daily nutrition of adults living in Turkey. This study was conducted with 6332 adults aged 18-65 years across Turkey. Demographics and anthropometric data of subjects, their daily water and beverage consumption habits were explored using the retrospective 24-hour recall method. Water and black tea were the most consumed beverages (1801.38 ± 11.06 mL/day, 455 ± 6.10 mL/day, respectively). Increased BMI was associated with a significantly decreased rate of insufficient fluid intake among the participants. Underweight individuals were found to be consuming less (by 0.558 times) fluid compared to those with normal BMI, while obese individuals appeared to have greater energy intake from daily fluid consumption (by 1.111 times). This study showed a relationship between water and beverage intake and anthropometric measurements, suggesting that further research on personalized water intake strategies is beneficial in weight management.

Nutritional Education Is an Effective Tool in Improving Beverage Assortment in Nurseries in Poland

The aim of the study was to assess the impact of education on improving the assortment of beverages served in nurseries in Poland. This analysis focused on beverages served to children with meals and between meals. We examined: water, tea, juices, soft/fruit drinks, compote, milk, cocoa, and coffee substitute. The study involved 93 nurseries enrolled in the Eating Healthy, Growing Healthy project and was conducted from 2015 to 2017. Nutritional education was carried out by dieticians or nutritionists and included 24 h of lectures given to the staff of nurseries. Training was conducted in a form of workshops that were divided into 12 topics. Additionally, consultations regarding infants and young children nutrition were available to the staff. Typically, education training was completed within 1–2 months in each nursery. The effectiveness of education was verified based on data on beverage supply in 186 ten-day menus, 1860 daily inventory reports before (at baseline), and 3–6 months after staff training (post baseline). Data were analyzed in a total group, and separately for public and non-public nurseries. Statistical analyses for categorical variables were done with Chi² Pearson test. The differences were considered significant at p < 0.05. After education, a significant increase in the supply of water as a beverage served with meals was observed in all nurseries (68% vs. 87%; p = 0.002), both in public (72% vs. 90%, p = 0.036) and non-public (62% vs. 84%, p = 0.017) ones. Moreover, a decrease in served tea was noted: in all nurseries (71% vs. 44%, p < 0.001) and in public nurseries (77% vs. 42%, p < 0.001). Water was available between meals in almost all nurseries. Nutritional education for staff is an important tool for improving adherence to the nutritional recommendation in the case of core beverage supply in Polish nurseries.

Association between Hydration Status and Body Composition in Healthy Adolescents from Spain

At present, obesity and overweight are major public health concerns. Their classical determinants do not sufficiently explain the current situation and it is urgent to investigate other possible causes. In recent years, it has been suggested that water intake could have important implications for weight management. Thus, the aim of this study was to examine the effect of hydration status on body weight and composition in healthy adolescents from Spain. The study involved 372 subjects, aged 12-18 years. Water intake was assessed through the validated "hydration status questionnaire adolescent young". Anthropometric measurements were performed according to the recommendations of the International Standards for Anthropometric Assessment (ISAK) and body composition was estimated by bioelectrical impedance analysis. Water intake normalized by body weight was positively correlated with body water content (boys (B): r = 0.316, p = 0.000; girls (G): r = 0.245, p = 0.000) and inversely with body mass index (BMI) (B: r = -0.515, p = 0.000; G: r = -0.385, p =0.000) and fat body mass (B: r = -0.306, p = 0.000; G: r = -0.250, p = 0.001). Moreover, according to BMI, overweight/obese individuals consumed less water than normal weight ones. In conclusion, higher water balance and intake seems to be related with a healthier body composition. In conclusion, higher water balance and intake is associated with a healthier body composition.

Influence of Water Intake and Balance on Body Composition in Healthy Young Adults from Spain

The increasing prevalence of overweight and obesity has become an epidemic public health problem worldwide. In the last years, several investigations have suggested that water intake and retention could have important implications for both weight management and body composition. However, there is a lack of information about this issue globally, and mainly specifically in Spain. Thus, the aim of this study was to analyze the association between hydration status and body composition in a sample of healthy Spanish adults. The study involved 358 subjects, aged 18–39 years. The recently validated “hydration status questionnaire” was used to assess their water intake, elimination, and balance. Anthropometric measurements were performed according to the recommendations of the International Standards for Anthropometric Assessment (ISAK). Body composition variables were acquired by bioelectrical impedance analysis. Differences in anthropometric and body composition variables were assessed through the ANOVA test and considered significant at p < 0.05. Fluid intake was correlated with body water content. Inverse associations between water consumption, normalized by weight, with body weight, body fat mass, and waist circumference were found. Moreover, according to water balance, significant differences in body water content in females were observed. In conclusion, higher fluid intake seems to be related with a healthier body composition. Therefore, the improvement of water intake and water balance could be useful for overweight and obesity prevention, although further studies are needed to confirm the present findings.

Water and Beverage Consumption among Children Aged 4-13 Years in Lebanon: Findings from a National Cross-Sectional Study

This study evaluates total water intake (TWI) from plain water, beverages and foods among Lebanese children and compares TWI to dietary reference intakes (DRIs). In a national cross-sectional survey, data on demographic, socioeconomic, anthropometric, and physical activity characteristics were obtained from 4 to 13-year-old children (n = 752). Food and beverage consumption patterns were assessed using a validated food-frequency questionnaire. TWI was estimated at 1651 mL/day, with beverages contributing 72% of the TWI compared to 28% from foods. Beverages with the highest contribution to TWI included plain water, fruit juice and soda. A significantly higher proportion of 9–13-year-old children failed to meet the DRIs compared to 4–8 years old (92%–98% vs. 74%). Gender differentials were observed with a significantly higher proportion of boys meeting the DRIs compared to girls. The water to energy ratio ranged between 0.84 and 0.87, which fell short of meeting the desirable recommendations. In addition, children from higher socioeconomic status had higher intakes of water from milk and bottled water, coupled with lower water intakes from sodas. The study findings show an alarming high proportion of Lebanese children failing to meet TWI recommendations, and call for culture-specific interventions to instill healthy fluid consumption patterns early in life.

Plain Water and Sugar-Sweetened Beverage Consumption in Relation to Energy and Nutrient Intake at Full-Service Restaurants

Background: Drinking plain water, such as tap or bottled water, provides hydration and satiety without adding calories. We examined plain water and sugar-sweetened beverage (SSB) consumption in relation to energy and nutrient intake at full-service restaurants. Methods: Data came from the 2005–2012 National Health and Nutrition Examination Survey, comprising a nationally-representative sample of 2900 adults who reported full-service restaurant consumption in 24-h dietary recalls. Linear regressions were performed to examine the differences in daily energy and nutrient intake at full-service restaurants by plain water and SSB consumption status, adjusting for individual characteristics and sampling design. Results: Over 18% of U.S. adults had full-service restaurant consumption on any given day. Among full-service restaurant consumers, 16.7% consumed SSBs, 2.6% consumed plain water but no SSBs, and the remaining 80.7% consumed neither beverage at the restaurant. Compared to onsite SSB consumption, plain water but no SSB consumption was associated with reduced daily total energy intake at full-service restaurants by 443.4 kcal, added sugar intake by 58.2 g, saturated fat intake by 4.4 g, and sodium intake by 616.8 mg, respectively. Conclusion: Replacing SSBs with plain water consumption could be an effective strategy to balance energy/nutrient intake and prevent overconsumption at full-service restaurant setting.

Plain water consumption in relation to energy intake and diet quality among US adults, 2005-2012

OBJECTIVE

The present study examined plain water consumption in relation to energy intake and diet quality among US adults.

METHODS

A nationally representative sample of 18 311 adults aged ≥18 years, from the National Health and Nutrition Examination Survey 2005-2012, was analysed. The first-difference estimator approach addressed confounding bias from time-invariant unobservables (e.g. eating habits, taste preferences) by using within-individual variations in diet and plain water consumption between two nonconsecutive 24-h dietary recalls.

RESULTS

One percentage point increase in the proportion of daily plain water in total dietary water consumption was associated with a reduction in mean (95% confidence interval) daily total energy intake of 8.58 (7.87-9.29) kcal, energy intake from sugar-sweetened beverages of 1.43 (1.27-1.59) kcal, energy intake from discretionary foods of 0.88 (0.44-1.32) kcal, total fat intake of 0.21 (0.17-0.25) g, saturated fat intake of 0.07 (0.06-0.09) g, sugar intake of 0.74 (0.67-0.82) g, sodium intake of 9.80 (8.20-11.39) mg and cholesterol intake of 0.88 (0.64-1.13) g. The effects of plain water intake on diet were similar across race/ethnicity, education attainment, income level and body weight status, whereas they were larger among males and young/middle-aged adults than among females and older adults, respectively. Daily overall diet quality measured by the Healthy Eating Index-2010 was not found to be associated with the proportion of daily plain water in total dietary water consumption.

CONCLUSIONS

Promoting plain water intake could be a useful public health strategy for reducing energy and targeted nutrient consumption in US adults, which warrants confirmation in future controlled interventions.

Negative, Null and Beneficial Effects of Drinking Water on Energy Intake, Energy Expenditure, Fat Oxidation and Weight Change in Randomized Trials: A Qualitative Review

Drinking water has heterogeneous effects on energy intake (EI), energy expenditure (EE), fat oxidation (FO) and weight change in randomized controlled trials (RCTs) involving adults and/or children. The aim of this qualitative review of RCTs was to identify conditions associated with negative, null and beneficial effects of drinking water on EI, EE, FO and weight, to generate hypotheses about ways to optimize drinking water interventions for weight management. RCT conditions that are associated with negative or null effects of drinking water on EI, EE and/or FO in the short term are associated with negative or null effects on weight over the longer term. RCT conditions that are associated with lower EI, increased EE and/or increased FO in the short term are associated with less weight gain or greater weight loss over time. Drinking water instead of caloric beverages decreases EI when food intake is ad libitum. Drinking water increases EE in metabolically-inflexible, obese individuals. Drinking water increases FO when blood carbohydrate and/or insulin concentrations are not elevated and when it is consumed instead of caloric beverages or in volumes that alter hydration status. Further research is needed to confirm the observed associations and to determine if/what specific conditions optimize drinking water interventions for weight management.

Participants in an online weight loss program can improve diet quality during weight loss: a randomized controlled trial

Background

Better diet quality has been associated with less weight gain over time. However, few studies have examined the role of diet quality during weight loss. This study aimed to compare changes in diet quality in overweight/obese adults during a weight loss intervention, and determine whether an association between diet quality score and weight loss exists.

Methods

Overweight or obese (BMI 25-40 kg/m²) adults, aged 18–60 years, were recruited from the Hunter Region of NSW, Australia and randomized to one of three groups: a standard online weight loss program (n = 94); an enhanced version of this online program that provided additional personalized feedback and reminders (n = 98); or a wait-list control group (n = 97). Diet quality was calculated using the Australian Recommended Food Score (ARFS) with dietary data from the Australian Eating Survey (AES) Food Frequency Questionnaire at baseline and 12-weeks.

Results

The basic and enhanced groups lost significantly more weight than the control group after 12 weeks (basic -2.2 ± 3.4 kg, enhanced -3.0 ± 4.0 kg, control 0.4 ± 2.4 kg, P < 0.001) with no difference between the basic and enhanced groups. The mean change in ARFS in the enhanced group (2.2 ± 5.7) was significantly higher (P = 0.03) than the control group. There were no significant differences in change in ARFS between the enhanced and basic, or basic and control groups. The ARFS and the fruit, meat, wholegrain, dairy and water sub-scale scores at 12 weeks were significantly associated with greater weight loss (P < 0.05).

Conclusions

Diet quality improved significantly in the enhanced group compared to controls following 12-weeks intervention. Furthermore, higher diet quality was associated with greater weight loss.

Trial Registration

ACTRN12610000197033.

Water and beverage consumption among adults in the United States: cross-sectional study using data from NHANES 2005-2010

BACKGROUND

Few studies have examined plain water consumption among US adults. This study evaluated the consumption of plain water (tap and bottled) and total water among US adults by age group (20-50y, 51-70y, and ≥71y), gender, income-to-poverty ratio, and race/ethnicity.

METHODS

Data from up to two non-consecutive 24-hour recalls from the 2005-2006, 2007-2008 and 2009-2010 National Health and Nutrition Examination Survey (NHANES) was used to evaluate usual intake of water and water as a beverage among 15,702 US adults. The contribution of different beverage types (e.g., water as a beverage [tap or bottled], milk [including flavored], 100% fruit juice, soda/soft drinks [regular and diet], fruit drinks, sports/energy drinks, coffee, tea, and alcoholic beverages) to total water and energy intakes was examined. Total water intakes from plain water, beverages, and food were compared to the Adequate Intake (AI) values from the US Dietary Reference Intakes (DRI). Total water volume per 1,000 kcal was also examined.

RESULTS

Water and other beverages contributed 75-84% of dietary water, with 17-25% provided by water in foods, depending on age. Plain water, from tap or bottled sources, contributed 30-37% of total dietary water. Overall, 56% of drinking water volume was from tap water while bottled water provided 44%. Older adults (≥71y) consumed much less bottled water than younger adults. Non-Hispanic whites consumed the most tap water, whereas Mexican-Americans consumed the most bottled water. Plain water consumption (bottled and tap) tended to be associated with higher incomes. On average, younger adults exceeded or came close to satisfying the DRIs for water. Older men and women failed to meet the Institute of Medicine (IOM) AI values, with a shortfall in daily water intakes of 1218 mL and 603 mL respectively. Eighty-three percent of women and 95% of men ≥71y failed to meet the IOM AI values for water. However, average water volume per 1,000 kcal was 1.2-1.4 L/1,000 kcal for most population sub-groups, higher than suggested levels of 1.0 L/1.000 kcal.

CONCLUSIONS

Water intakes below IOM-recommended levels may be a cause for concern, especially for older adults.

Water and beverage consumption among children age 4-13y in the United States: analyses of 2005-2010 NHANES data

Background

Few studies have examined water consumption patterns among US children. Additionally, recent data on total water consumption as it relates to the Dietary Reference Intakes (DRI) are lacking. This study evaluated the consumption of plain water (tap and bottled) and other beverages among US children by age group, gender, income-to-poverty ratio, and race/ethnicity. Comparisons were made to DRI values for water consumption from all sources.

Methods

Data from two non-consecutive 24-hour recalls from 3 cycles of NHANES (2005–2006, 2007–2008 and 2009–2010) were used to assess water and beverage consumption among 4,766 children age 4-13y. Beverages were classified into 9 groups: water (tap and bottled), plain and flavored milk, 100% fruit juice, soda/soft drinks (regular and diet), fruit drinks, sports drinks, coffee, tea, and energy drinks. Total water intakes from plain water, beverages, and food were compared to DRIs for the US. Total water volume per 1,000 kcal was also examined.

Results

Water and other beverages contributed 70-75% of dietary water, with 25-30% provided by moisture in foods, depending on age. Plain water, tap and bottled, contributed 25-30% of total dietary water. In general, tap water represented 60% of drinking water volume whereas bottled water represented 40%. Non-Hispanic white children consumed the most tap water, whereas Mexican-American children consumed the most bottled water. Plain water consumption (bottled and tap) tended to be associated with higher incomes. No group of US children came close to satisfying the DRIs for water. At least 75% of children 4-8y, 87% of girls 9-13y, and 85% of boys 9-13y did not meet DRIs for total water intake. Water volume per 1,000 kcal, another criterion of adequate hydration, was 0.85-0.95 L/1,000 kcal, short of the desirable levels of 1.0-1.5 L/1,000 kcal.

Conclusions

Water intakes at below-recommended levels may be a cause for concern. Data on water and beverage intake for the population and by socio-demographic group provides useful information to target interventions for increasing water intake among children.

Contingent choice. Exploring the relationship between sweetened beverages and vegetable consumption

Adults and children are repeatedly exposed to the pairing of food and drink as found in meal deals and "combos". There may arise from this indoctrination, a contingent relationship between drink context and food preference. Our multi-method research examines food and drink combining. A survey-based study examines the food and drink pairing preferences of adults (N=60), while a laboratory study with young children (N=75, aged three to five) examines the role of drink context on vegetable consumption. The adult survey finds strong food and drink combining preferences. The pairing of soft drinks with calorie dense foods is regarded favorably, while the pairing of soft drinks with vegetables is not. In child food trials, vegetable consumption is not influenced by the child's fussiness but is influenced by the drink accompaniment. In limited contexts, these findings demonstrate the contingent relationship between drink context and food consumption. Both palate preference and associative learning may be mechanisms driving the effects of drink context on food consumption. The findings suggest simple consumer strategies that might be employed to change dietary patterns (e.g., drink water with meals), and hold straightforward policy implications (e.g., increase water as the default option in meal deals).

Composite measures quantify households' obesogenic potential and adolescents' risk behaviors

OBJECTIVE

The aims of this study were to generate composite measures quantifying a household's obesogenic potential and to examine the relationship of the composite variables with older children's eating, physical activity (PA), and small screen recreation.

METHODS

Data were from surveys with 1685 child-parent pairs in which the child was in grade 6, 8, or 10 (mean age: 14 years). Composite measures of the obesogenic household environment were generated from 11 measures using nonlinear principal components analysis. Associations between the composite measures and the children's healthy and unhealthy food intake, PA, and screen time were tested (adjusting for demographic characteristics).

RESULTS

Two scales were generated: (1) obesogenic control, which clustered together factors that mitigate risk; and (2) obesogenic risk. Higher scores on the control scale were associated with higher adolescent intake of healthy foods, lower intake of unhealthy foods, higher PA, and less screen time. Higher scores on the risk scale were associated with lower adolescent intake of healthy foods, higher intake of unhealthy foods, lower PA, and more screen time. There were significant 2-way interactions between the scales for soft drink consumption and PA.

CONCLUSIONS

Household obesogenic potential may be quantified as 2 factors reflecting cumulative risk and control practices. These factors have both additive associations with obesogenic behaviors and, in some cases, modify each other, suggesting that a healthy home environment requires attention to both. Health promotion messages could incorporate these 2 different but interacting factors that parents can use to modify the obesogenic potential of their household.