Water and sugar-sweetened beverage consumption and changes in BMI among Brazilian fourth graders after 1-year follow-up

Abstract

Objective

We examined whether drinking water per se is associated with drinking less of other beverages and whether changes in BMI are associated with the intake of water and other beverages.

Design

Secondary analysis of a randomized trial of fourth graders followed over 1 year.

Setting

Public schools in the metropolitan area of Rio de Janeiro, Brazil.

Subjects

Participants were 1134 students aged 10–11 years.

Results

At baseline, a higher frequency of water consumption was associated with a greater daily intake of fruit juice (P = 0·02) and a higher daily frequency of milk (P = 0·005). In the intervention group, the baseline frequency of water consumption was negatively associated with weight change over 1 year but without statistical significance (coefficient = −0·08 kg/m²; 95 % CI −0·37, 0·24 kg/m²), whereas fruit juice intake frequency was positively associated with weight change: each increase in fruit juice intake of 1 glass/d was associated with a BMI increase of 0·16 (95 % CI 0·02, 0·30) kg/m².

Conclusions

Our findings do not support a protective effect of water consumption on BMI, but confirm consumption of juice drinks as a risk factor for BMI gain. Students who reported high water consumption also reported high intake of other beverages; therefore, the promotion of water consumption per se would not prevent excessive weight gain.

Increased consumption of water is believed to trigger biochemical mechanisms that enhance weight loss^{( 1 , 2 )}. However, experimental designs where sugar-sweetened beverages (SSB) have been replaced with water have yielded controversial findings^{( 3 – 7 )}.

Systematic reviews, primarily of observational studies, compared the effects of drinking water and other beverages on energy intake and concluded that water plays an important role in reducing energy intake^{( 8 , 9 )}. These findings have stimulated heavy marketing by the beverage industry of the importance of high levels of fluid consumption, a recommendation that has been well received by nutritionists and other health professionals, but which lacks strong scientific basis. In addition, the fluid sources that are being marketed include not only plain water, but also high-energy beverages^{( 10 , 11 )}. There is no evidence that people require large intakes of liquids, as pointed out in the most recent Dietary Guidelines for Americans^{( 12 )} and in the Brazilian guidelines, which recommend drinking 6 to 8 glasses of water daily, mainly in between meals^{( 13 )}.

The hydration issue sets a fundamental question for public health policy: is drinking water per se associated with drinking less of other beverages? To address this question, we analysed the association of the frequency of water consumption with the frequency of consumption and the amount consumed of other beverages. We also tested whether the frequencies of water, soda and juice consumption at baseline were associated with BMI change over one school year in an intervention study with a large sample of fourth grade students.

Methods

The present paper is a secondary analysis of a randomized school trial of fourth graders from twenty-two public schools in the city of Niterói, located in the metropolitan area of Rio de Janeiro, Brazil. The study was conducted in 2005. Niterói has approximately 450 000 inhabitants, and most fourth graders are between 10 and 11 years old. The sample included forty-seven classes from twenty-two schools. The details of and results from that study may be found elsewhere^{( 6 )}. In brief, the intervention in half of the schools included a nutritional programme administered over one school year that focused on reducing the consumption of sodas. The control group intervention included two one-hour sessions on general health issues and common advice on healthy diets. The main outcome measured was BMI. The results showed that after the intervention, BMI decreased only in overweight/obese girls from the intervention group; no changes were observed in the control group.

Beverage intakes at baseline were measured through a drinking frequency questionnaire and one 24 h recall. After the 24 h recall, children were asked to record their usual frequency of soda, juice and milk consumption. The drinking frequency questionnaire included items on sodas (colas and other sodas), guaraná natural (a typical Brazilian non-carbonated SSB), natural and industrialized fruit juices, and milk. The eight possible answers ranged from ‘never or almost never’ to ‘3 or more times per day’. Water intake was evaluated by asking for the usual number of glasses consumed daily (from ‘zero or never drink water’ to ‘7 or more glasses per day’). Baseline data were collected during the summer months in the southern hemisphere (February and March). For data analysis, all frequency of consumption values ranged from 0 to 8.

The measured outcome was (BMI = [weight (kg)]/[(height (m)]²). Anthropometric measurements were taken at the beginning and at the end of the school year. Height (without shoes) was measured to the nearest centimetre using a portable stadiometer (Seca). Weight (in light clothing) was measured to the nearest 0·1 kg on portable scales (Tanita). The classification of nutritional status was based on the BMI Z-score categories proposed by the WHO^{( 14 )}.

Co-variables related to BMI and beverage consumption included practising recreational physical activities (yes/no), having physical activity classes at school (yes/no) and screen time (computer and television) in hours per day.

Statistical analysis

The data were analysed using the SAS statistical software package version 9·2 (SAS Institute Inc., Cary, NC, USA). Linear regression analysis was used to assess differences in BMI from baseline using the ‘surveyreg’ procedure, accounting for the cluster sample design (classes). The baseline frequency of water consumption and the amount and daily frequency of consumption of other beverages were contrasted with BMI at baseline and change in BMI after the intervention, in both intervention and control schools.

Results

A total of 1134 students participated in the study. There was no difference in the mean number of glasses of water consumed daily by sex (5·6 glasses/d among boys, 5·5 glasses/d among girls). Similar results were found for other beverages, except for the mean daily frequency of guaraná consumption, which was slightly higher among boys than among girls (0·5 v. 0·4 glasses/d, P = 0·02; Table 1). Data from the 24 h recall indicated that the amount (ml/d) of soda consumption was greater than that of fruit juice, with soda consumption almost threefold higher than juice consumption for both sexes (Table 1).

Table 1.

Means with their standard errors for the daily frequency of drinking water and other beverages^* and for the amount of soda and fruit juice intake^†: fourth grade students aged 10–11 years, Rio de Janeiro, Brazil

	Boys			Girls
	n	Mean	se	n	Mean	se	P
Frequency (glasses/d)
Water	459	5·6	0·10	517	5·5	0·10	0·67
Sodas	454	0·6	0·04	515	0·6	0·04	0·55
Guaraná	395	0·5	0·03	443	0·4	0·02	0·02
Fruit juice	444	0·8	0·03	506	0·8	0·04	0·76
Milk	440	1·2	0·04	515	1·0	0·03	0·06
Amount (ml/d)
Sodas	535	240	20	599	260	19	0·45
Fruit juice	535	83	9	599	98	10	0·29

^*Based on a drinking frequency questionnaire.

^†Based on 24 h recall.

The average water intake (glasses/d) according to sex and nutritional status is summarized in Table 2. There was a positive linear trend in water intake according to BMI category, mainly due to the smaller intake among the underweight group, although borderline statistical significance using linear χ ² tests was found in both sexes (P = 0·06 among boys, P = 0·08 among girls).

Table 2.

Mean and standard deviation of water intake according to sex and BMI category: fourth grade students aged 10–11 years, Rio de Janeiro, Brazil

	Boys				Girls
			Glasses of water/d				Glasses of water/d
	n	%	Mean	sd	n	%	Mean	sd
Underweight	8	1·7	5·1	1·9	6	1·2	4·8	1·7
Normal weight	311	67·7	5·5	1·9	356	69·3	5·5	1·9
Overweight	83	18·3	5·8	2·0	102	19·2	5·7	1·9
Obese	57	12·3	5·9	2·1	53	10·3	5·7	1·5
P for trend			0·06				0·08

Table 3 illustrates the daily frequency of beverage consumption (glasses/d) and the amount (ml/d) of soda and fruit juice consumption according to two categories of water consumption: ≤3 glasses/d and >3 glasses/d. Students in the group that drank >3 glasses water/d presented higher daily frequencies of fruit juice and milk consumption than the group that reported drinking ≤3 glasses water/d, with a significance difference for milk intake (P = 0·005). Additionally, the amounts of fruit juice and sodas consumed were higher in the group that reported drinking >3 glasses water/d with statistical significance only for fruit juice (P = 0·02). Furthermore, the average BMI among children who drank >3 glasses water/d was slightly higher than in the group that drank ≤3 glasses water/d (18·4 v. 17·9 kg/m²; P = 0·05).

Table 3.

Daily mean frequency of beverage consumption, mean amount of soda and juice intake and mean BMI according to the number of glasses of water consumed daily: fourth grade students aged 10–11 years, Rio de Janeiro, Brazil

	≤3 glasses water/d	>3 glasses water/d	P
Daily mean frequency of intake
Sodas	0·74	0·60	0·17
Guaraná	0·45	0·45	0·64
Fruit juice	0·72	0·83	0·11
Milk	1·02	1·20	0·005
Mean amount (ml/d)
Sodas	274	291	0·07
Fruit juice	83	110	0·02
Mean BMI (kg/m2)	17·9	18·4	0·05

The overall changes in BMI (kg/m²) as a function of the type of beverage consumed are presented in Table 4. The coefficients of the adjusted linear regression model controlled for age and sex showed an inverse association between water consumption and change in BMI, considering water consumption both as a continuous variable and a dichotomous variable (>3 glasses/d, ≤3 glasses/d). A significant association was observed only for categorical analysis (regression coefficient = −0·20; 95 % CI −0·40, −0·004; P = 0·04). On the other hand, positive associations were found between the frequency of consumption of beverages containing added sugar (soda and juice) and the change in BMI when adjusted for age and sex. The model controlled for age, sex, physical activity, intervention and mutually adjusted showed similar effects for the change in BMI: an inverse association for water intake (number of glasses dichotomized; regression coefficient = −0·21; 95 % CI −0·41, –0·01; P = 0·04) and a positive association for daily frequency of fruit juice consumption (regression coefficient = 0·15; 95 % CI 0·1, 0·2; P = 0·002; Table 4). There was no dose effect on the change in BMI when the number of glasses of water consumed daily was categorized in tertiles (data not shown).

Table 4.

Change in BMI (kg/m²) according to consumption of sugar-sweetened beverages and water at baseline: fourth grade students aged 10–11 years, Rio de Janeiro, Brazil

	Regression coefficient	95 % CI
Adjusted for age and sex
Glasses of water/d (continuous variable: 0 to 7 and more)	−0·03	−0·01, 0·07
Glasses of water/d (dichotomous variable: >3 v. ≤3)	−0·20	−0·40, −0·004
Fruit juice (continuous variable: daily frequency)	0·16	0·08, 0·24
Soda (continuous variable: daily frequency)	0·11	0·03, 0·25
Adjusted for age, sex, physical activity, intervention and mutually adjusted
Glasses of water/d (dichotomous variable: >3 v. ≤3)	−0·21	−0·41, −0·01
Fruit juice (continuous variable: daily frequency)	0·15	0·10, 0·20
By intervention
Control schools
Glasses of water/d (dichotomous variable: >3 v. ≤3)	−0·31	−0·57, −0·05
Fruit juice (continuous variable: daily frequency)	0·12	−0·10, 0·25
Intervention schools
Glasses of water/d (dichotomous variable: >3 v. ≤3)	−0·08	−0·37, 0·24
Fruit juice (continuous variable: daily frequency)	0·16	0·02, 0·30

The fully adjusted model stratified for intervention and control schools presented the same tendency of a positive association for daily frequency of juice consumption and an inverse association for water intake, which was statistically significant only for control schools (regression coefficient = −0·31; 95 % CI −0·57, −0·05; P = 0·03).

Discussion

First, our findings indicate that students who drank >3 glasses water/d at baseline had a smaller incremental change in BMI than those who reported drinking ≤3 glasses/d. This association has been shown in experimental studies^{( 8 , 15 )}, suggesting that consuming more water may play a role in the prevention of weight gain. Stookey et al.^{( 15 )} observed a robust effect of water drinking on weight loss. An increase in drinking water to ≥1·0 l/d was associated with a weight loss of approximately 2 kg over 12 months, independent of sociodemographic variables, food intake characteristics, energy intake and physical activity.

Second, stratifying the linear model analysis for intervention and control groups, an approach to fully control for changes associated with the intervention, showed that changes associated with BMI remained inverse for the intake of water but statistical significance was observed only among control schools. Therefore our data do not support the hypothesis that an increased intake of water would have a protective effect on weight gain.

That the association between water intake at baseline and change in BMI was observed only in the control group possibly indicates that small changes in the intervention period masked the possible association in the intervention group, which was stimulated to drinking more water. It is possible that those classified in the high level of water intake at baseline would not have room for more change whereas those with low intake of water at baseline may have added more, blurring possible differences in intake during follow-up.

Additionally, the consumption of >5 glasses water/d (the third tertile of water intake) was not associated with a larger reduction in BMI gain compared with the intermediate tertile at follow-up, also indicating that these results do not support the hypothesis that a greater intake of water protects against weight gain.

Physical activity is a potential confounding factor in the association of water drinking and weight change because greater physical activity is associated with greater beverage drinking. However, we found that the effect of water consumption was the same after adjustment for recreational physical activity, physical activity at school and screen time, with the BMI changing by approximately 0·5 kg/m² when the group that drank >3 glasses/d was compared with the group that drank ≤3 glasses/d.

Wang et al.^{( 16 )} estimated the impact of substituting water for SSB on energy intake among children and adolescents and found that this exchange decreased average total energy intake by 983 kJ/d (235 kcal/d). However, our baseline data indicated a positive association between the intake of water and other beverages; thus, children who reported to drink more water also had high consumption of other beverages and the observed effect of water consumption on the BMI change after the intervention probably was not due to the substitution of SSB.

Our findings are also consistent with many studies showing that SSB, particularly fruit juices, are a risk factor for weight gain. An increased intake of 1 glass fruit juice/d was associated with a 0·16 kg/m² greater BMI. Daily frequency of fruit juice intake in the present study was slightly higher than soda intake among both boys and girls; as discussed in the previous analysis of the randomized trial, juices are an important source of sugar intake in Brazil^{( 6 )}.

The most direct mechanism to explain the observed link between SSB consumption and obesity is the higher total energy intake associated with SSB^{( 17 )}. A meta-analysis of eighty-eight studies found clear associations between SSB consumption, increased energy intake and body weight. It is interesting to note that studies funded by the food industry reported significantly smaller effects on energy intake than did non-industry-funded studies^{( 18 )}. Another meta-analysis funded by the beverage industry showed no association between SSB consumption and BMI in children and adolescents^{( 19 )}. However, Malik et al. argued that such results were found due to analytical errors, mainly because SSB consumption units were mixed up in the different studies selected^{( 20 )}.

The main finding of the current study is that the students who reported high consumption of plain water also had high consumption other beverages, including SSB and milk. Therefore, the study did not confirm the hypothesis that drinking water is associated with drinking less of other beverages. This finding can be translated into a clear recommendation that increasing water intake should be combined with the reduction in SSB consumption. This is a central topic in public health policy because beverage advertising encourages the intake of bottled and artificially flavoured waters as an innocuous (or even healthy) non-energy beverage and there is a common sense that all kinds of beverages can hydrate in the same way, including SSB and sports drinks.

Furthermore, a meta-analysis of energy intake over the course of a meal subsequent to the consumption of SSB^{( 18 )} suggested that food energy intake is higher among individuals with greater SSB intake. Drinking at meals may facilitate the consumption of larger amounts of food^{( 9 )}. This is a possible explanation for our baseline data showing a borderline association between water consumption and BMI, because water consumption was also associated with SSB. Therefore, for a clear public health approach, the promotion of water consumption should be done together with a message of reducing the consumption of SSB in order to prevent weight gain in adolescents.