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. Author manuscript; available in PMC: 2010 Dec 1.
Published in final edited form as: Eat Behav. 2009 Jul 16;10(4):237–246. doi: 10.1016/j.eatbeh.2009.07.006

Beverage Consumption and Adult Weight Management: A Review

Elizabeth A Dennis 1, Kyle D Flack 1, Brenda M Davy 1
PMCID: PMC2864136  NIHMSID: NIHMS195016  PMID: 19778754

Abstract

Total energy consumption among United States adults has increased in recent decades, and energy-containing beverages are a significant contributor to this increase. Because beverages are less satiating than solid foods, consumption of energy-containing beverages may increase energy intake and lead to weight gain; trends in food and beverage consumption coinciding with increases in overweight and obesity support this possibility. The purpose of this review is to present what is known about the effect of beverage consumption on short-term (i.e., meal) energy intake, as well as longer-term effects on body weight. Specific beverages addressed include water, other energy-free beverages (diet soft drinks, coffee and tea), and energy-containing beverages (soft drinks, juices and juice drinks, milk and soy beverages, alcohol). Existing evidence, albeit limited, suggests that encouraging water consumption, and substituting water and other energy-free beverages (diet soft drinks, coffee and tea) for energy-containing beverages may facilitate weight management. Energy-containing beverages acutely increase energy intake, however long-term effects on body weight are uncertain. While there may be health benefits for some beverage categories, additional energy provided by beverages should be compensated for by reduced consumption of other foods in the diet.

Keywords: adult weight management, beverage, water, soft drinks, obesity, energy intake

1. Introduction

Caloric intake has increased over the past 20 years, with the majority of the increase derived from snacks foods (Nielsen, Siega-Riz, & Popkin, 2002) and beverages (Duffey & Popkin, 2007). Beverage consumption patterns in children and adolescents are an important _target for promoting body weight management (Ludwig, Peterson, & Gortmaker, 2001; Sanigorski, Bell, & Swinburn, 2007), yet until recently, less attention has been directed at beverage consumption and adult weight management. The potential negative public health consequences of sweetened beverage consumption have led some to suggest a sugar-sweetened beverage tax (Brownell & Frieden, 2009), which is controversial due in part to a lack of direct evidence linking changes in sweetened beverage intake to weight outcomes (Allison & Mattes, 2009). Thus, the purpose of this article is to review literature addressing beverage consumption and adult weight management.

Though beverages of all types satisfy thirst (Almiron-Roig & Drewnowski, 2003), caloric (i.e., energy-containing) beverages do not effect food intake during acute meal settings (Almiron-Roig & Drewnowski, 2003; DellaValle, Roe, & Rolls, 2005; Harper, James, Flint, & Astrup, 2007; Tsuchiya, Almiron-Roig, Lluch, Guyonnet, & Drewnowski, 2006). However, when compared to water or energy-free, artificially-sweetened beverages, consumption of energy-containing beverages increases total meal energy intake (Almiron-Roig & Drewnowski, 2003; DellaValle et al., 2005). The low satiety value of beverages may be explained by the fact that for most of human evolutionary history, water was the only beverage consumed (Wolf, Bray, & Popkin, 2008); regulation of beverage energy was not of biological importance. Though the exact mechanism of this weak satiety response is unclear, there are several possibilities. First, relative to solid foods, beverages take less time to consume and are rapidly emptied from the stomach (Kissileff, 1985). This is supported by research demonstrating that consumption of an isocaloric liquid compared with solid food given prior to an ad libitum meal increases food intake (Stull, Apolzan, Thalacker-Mercer, Iglay, & Campbell, 2008). Second, food form (i.e. solid vs. liquid) influences appetite-related hormonal response (Tieken et al., 2007). Finally, energy-containing beverages are largely comprised of carbohydrates, which stimulate fewer satiety signals than fat or protein (Wolf et al., 2008).

Because energy from beverages is less satiating than consumption of solid foods (DiMeglio & Mattes, 2000; R. Mattes, 2006; R. D. Mattes, 1996; Stull et al., 2008), consumption of energy-containing beverages may produce weight gain (Ludwig et al., 2001). Trends in beverage consumption coinciding with increases in overweight and obesity support this possibility; energy intake from sweetened beverages (i.e., soft drinks and fruit drinks) has increased by 222 kcal in recent decades (Duffey & Popkin, 2007). Adults with a high energy-containing beverage intake consume less healthy diets (Duffey & Popkin, 2006; Popkin, Barclay, & Nielsen, 2005), while water consumers ingest less total energy (Duffey & Popkin, 2006; Popkin et al., 2005). Soft drinks are the single greatest energy source (i.e., 7% total energy) in the American diet (Block, 2004); average daily consumption of soft drinks is > 12.3 fl oz per person (Wolf et al., 2008). Therefore, beverage consumption patterns may be an important dietary factor influencing adult weight management.

This review was conducted using a PubMed (National Library of Medicine) online literature search to identify publications (within 15 years) investigating beverage consumption and either food/energy intake or body weight management. A small number of less recent publications were included if they were a key reference for later work on this topic. Articles were limited to those published in English, and in adults. Findings were categorized according to beverage type as follows: water, other energy-free beverages (artificially sweetened beverages, coffee and tea), and energy-containing beverages (soft drinks, juice and juice drinks, milk and soy beverages, alcohol). Details of studies reviewed are presented in the Table in alphabetical order by first author’s name within each subsection. Research findings are summarized within the text in the following order: epidemiological research, test meal/short-term feeding studies, and randomized controlled trials (if available). Relevant meta-analyses and reviews are also presented.

Table.

Studies Investigating Energy-free and Energy-containing Beverage Consumption: Weight, Energy Intake, and Weight-Related Outcomes

Energy-Free Beverages
Reference Study Population Design Findings
Water
Canty and
Chan, 1991
(Canty & Chan, 1991)
n= 2; M*
n= 18; F*
normal weight
Experimental study, within-subjects,
repeated measures; 200 ml preload
(water, ASP*, SUC*, or SAC*
sweetened beverage), ad libitum test
meal.
No difference between preloads on meal EI*.
Rating of desire to eat was higher 45 minutes after
water preload compared to SUC preload.
Davy et al.,
2008 (Davy, Dennis, Dengo et al., 2008)
n = 7; M
n= 17; F
overweight
Experimental study, within-subjects,
repeated measures; 500 ml water
preload or no beverage, ad libitum test
meal.
Test meal EI was 74 kcals less after the water
preload compared to the no preload condition.
DellaValle et
al., 2005
(DellaValle et al., 2005)
n= 44; F
normal weight,
overweight and
obese
Experimental study, within-subjects,
repeated measures; 360 ml beverages
(regular cola, orange juice, 1% milk,
ASP cola, tap water) or no beverage
consumed with an ad libitum meal.
Meal EI was not different in water preload vs. no
beverage conditions.
Duffey and
Popkin, 2006
(Duffey & Popkin, 2006)
n= 9,491; M, F Cross sectional analysis, NHANES*
1999-2002
Water consumers ingest less energy from energy-
containing beverages than soft drink consumers
(10.7% vs. 24.0%); those who avoid high fat, fast
foods are more likely to consume water.
Holt et al.,
2000 (Holt et al., 2000)
n= 11; M
normal weight
Experimental study, within-subjects,
repeated measures; 375 ml preload
(sugar-rich cola, ASP cola, water)
before ad libitum consumption of a
snack (chips) and lunch.
Total EI was similar across conditions.
Lappalainen
et al., 1993
(Lappalainen et al., 1993)
n= 8; F
normal weight
Experimental study, within-subjects,
repeated measures; 400 ml water
given during fixed-intake meal
Drinking water increased feelings of satiety and
diminished hunger; effect was not maintained after
the meal.
Murakami et
al., 2008
(Murakami et
al., 2008)
n= 1,136; F Cross-sectional survey; diet-history
questionnaire (150 food and beverage
items)
Water intake from foods (all foods except
beverages), but not beverages (sum of energy-
containing beverages and energy-free beverages)
was associated with lower BMI and WC.
Popkin et al.,
2005 (Popkin et al., 2005)
n= 4,755; M, F Cross-sectional analysis; NHANES
1999-2001
Total daily EI was 194 kcals less for water
consumers vs. nonconsumers; water consumers also
ingest fewer energy-containing beverages.
Rodin, 1990
(Rodin, 1990)
n= 12; M
n= 12; F
overweight and
normal weight
Experimental study, within-subjects,
repeated measures; 500ml preload
(fructose, glucose, ASP, or plain
water), ad libitum meal.
The water preload yielded similar meal EI to that of
ASP.
Rolls et al.,
1990 (Rolls et al., 1990)
n= 42; M
normal weight
Experimental study, within-subjects,
repeated measures; 240 ml or 480 ml
preloads (ASP, SUC or water), ad
libitum test meal.
No difference in meal EI between preloads.
Stookey et al.,
2007
(Stookey et al., 2007)
n= 311; F
overweight and
obese
Experimental study, 24 hr recalls;
Fixed effect model used for analysis
During a 12-month hypocaloric diet intervention,
replacing energy-containing beverages with water
was associated with decreased self-reported EI
(~200 kcal/d); impact on body weight was not
reported.
Stookey et al.,
2008
(Stookey et al., 2008)
n= 173; F
overweight
Experimental study, 24 hr recalls;
Mixed models used for analysis
(secondary analysis of above study)
Drinking ≥1 L water/day (by self-report) was
associated with greater weight loss (2 kg) vs. water
intake of <1 L/d, over 12 months.
Van
Walleghen et
al., 2007 (Van Walleghen et al., 2007)
n= 25; M
n= 25; F
normal weight
Experimental study, within-subjects,
repeated measures; 500 ml water
preload or no beverage, ad libitum test
meal.
Test meal EI was 60 kcals lower in the water
preload vs. no preload condition among older adults
(60-80 yrs). No differences in meal EI between
conditions among younger adults (21-35 yrs).
Energy-free Artificially Sweetened Beverages
Appleton and
Blundell,
2007
(Appleton &
Blundell,
2007)
n= 20; F
normal weight
Experimental study, within-subjects,
repeated measures; 330 ml preload
(water, energy containing, or AS*
beverages), ad-libitum test meal.
Low consumers of AS beverages (0 ml/d) had
higher intakes following a sweetened preload
compared to the high consumers (>825 ml/day).
Binkley and
Golub, 2007
(Binkley &
Golub, 2007)
n= 1,574; M,F Cross-sectional; comparison of
grocery purchase patterns of regular
vs. diet soft drink consumers.
Diet soda consumers spend more on items deemed
“nutritious” than regular soda consumers; use of
diet soft drinks is not associated with increased
purchase of high energy-dense foods.
Canty and
Chan, 1991
(Canty & Chan, 1991)
n= 2; M
n= 18; F
normal weight
Experimental study, within-subjects,
repeated measures; 200ml preload
(water, ASP, SUC, or SAC sweetened
beverage), ad libitum test meal.
No effect of sweetener type on meal EI.
DellaValle et
al., 2005
(DellaValle et al., 2005)
n= 44; F
normal weight,
overweight and
obese
Experimental study, within-subjects,
repeated measures; 360 ml beverages
(regular cola, orange juice, 1% milk,
ASP cola, tap water) or no beverage
consumed with an ad libitum meal.
Meal EI was not different in noncaloric (water,
ASP cola) vs. no beverage conditions.
Fowler et al.,
2008 (Fowler et al., 2008)
n=3,682; M, F Prospective cohort, 8-yr follow-up,
~65% Mexican American
Among San Antonio Heart Study participants, self-
reported consumption of AS beverages (diet soft
drinks, artificially sweetened coffee and tea) at
baseline was associated with increased risk of
weight gain at follow-up compared with non-
consumers.
Holt et al.,
2000 (Holt et al., 2000)
n= 11; M
normal weight
Experimental study, within-subjects,
repeated measures; 375 ml preload
(sugar-rich cola, ASP cola, water)
before ad libitum consumption of a
snack (chips) and lunch.
The ASP drink did not stimulate a greater appetite
when compared to plain water; total EI was similar
across conditions.
Monsivais et
al., 2007
(Monsivais,
Perrigue, &
Drewnowski,
2007)
n= 19; M
n= 18; F
normal and
overweight
Experimental study, within-subjects,
repeated measures; preloads (cola
sweetened with SUC, HFCS*-42
(42% fructose), HFCS-55 (55%
fructose), ASP, and 1% milk), ad
libitum meal.
Meal EI not different in AS cola vs. no beverage
condition.
Raben et al.,
2002 (Raben et al., 2002)
n= 6; M
n= 35; F
overweight
Experimental study, parallel; given
food and beverages sweetened with
SUC (n=21) or AS (ASP, ACE-K*,
cyclamate, SAC; n=20) for 10 weeks.
No changes in EI, BW*, or FM* observed among
those receiving AS.
Rodin, 1990
(Rodin, 1990)
n= 12; M
n= 12; F
overweight and
normal weight
Experimental study, within-subjects,
repeated measures; 500ml preload
(fructose, glucose, ASP, or plain
water), ad libitum meal.
The ASP drink yielded similar meal EI to that of
water.
Schulze et al.,
2004 (Schulze et al., 2004)
n= 51,603; F Prospective cohort, association of
sweetened beverage consumption with
weight gain over a four-year period
Less weight gain among F who increased AS soft
drink consumption from ≤ 1 per week to 1 ≥ per
day than those decreasing AS drink consumption.
Stookey et al.,
2008
(Stookey et al., 2008)
n= 173; F
overweight
Experimental study, 24 hr recalls;
Mixed models used for analysis
Replacement of energy-containing beverages with
nonwater energy-free beverages (“diet drinks”) was
associated with less weight loss than increasing
water consumption, over 12 months (determined by
self-report).
Tordoff and
Alleva, 1990
(Tordoff & Alleva, 1990)
n= 21; M
n= 9; F
normal weight
Experimental study, within-subjects,
repeated measures; supplemented
usual diet covertly with 1150 g/day of
soda sweetened with ASP, HFCS, or
no drink for 3 weeks each.
Lower EI and BW in ASP condition in M.
Coffee/Tea
Lopez-Garcia
et al., 2006
(Lopez-Garcia et al., 2006)
n= 1,847; M
n= 39,740; F
12-yr prospective study; participants
were classified into quintiles based on
levels of change in caffeine, coffee
and tea consumption.
Increases in tea and coffee consumption were
inversely associated with weight gain independent
of caffeine intake.
Wu et al.,
2003 (Wu et al., 2003)
n= 569; M
n= 641; F
Cross sectional study on habitual tea
consumption
Habitual tea drinkers (≥1 drink/wk regularly) for
>10 yrs had lower BF%*, WHR* than nonhabitual
tea drinkers.
Energy-containing Beverages
Soft-drinks
Buemann et
al., 2002
(Buemann et al., 2002)
n= 22; M
normal weight
Experimental study, within-subjects,
repeated measures; red wine, lager
beer, or carbonated SSB* were served
with an ad libitum meal. Beverages
were supplied ad libitum in first
condition and fixed in second.
No significant difference across beverage
conditions in total EI when beverage intake was
fixed. Total meal EI was lower in the soft drink
and beer condition in the ad libitum beverage
condition.
Canty and
Chan, 1991
(Canty & Chan, 1991)
n= 2; M
n= 18; F
normal weight
Experimental study, within-subjects,
repeated measures; 200ml preload
(water, ASP, SUC, or SAC sweetened
beverage), ad libitum test meal.
No effect of sweetener type on meal EI.
DellaValle et
al., 2005
(DellaValle et al., 2005)
n= 44; F
normal weight,
overweight and
obese
Experimental study, within-subjects,
repeated measures; 360 ml beverages
(regular cola, orange juice, 1% milk,
ASP cola, tap water) or no beverage
consumed with an ad libitum meal.
Energy-containing beverages (cola, OJ, milk) add
to total meal EI. No difference in total meal EI
across energy-containing beverage conditions; total
meal EI ~104 kcal higher in energy-containing vs.
energy-free conditions due to added beverage kcals.
Dhingra et al.,
2007
(Dhingra et al., 2007)
n= 2,569; M
n= 3,470; F
Prospective, 4 yrs In middle aged adults (mean age=53 yrs),
consuming >1 soft drink (diet or regular) per day
increased odds of developing obesity (OR 1.31,
95% CI) as compared to those consuming <1
drink/day. Not differentiated between regular and
diet soft drinks for BMI*.
Harper et al.,
2007 (Harper et al., 2007)
n= 22; M
normal weight
Experimental study, within-subjects,
repeated measures; 500 ml preload
(cola or chocolate milk), ad libitum
lunch.
No difference between beverages on meal EI.
Holt et al.,
2000 (Holt et al., 2000)
n= 11; M
normal weight
Experimental study, within-subjects,
repeated measures; 375 ml preload
(sugar-rich cola, ASP cola, water)
mornings before ad libitum
consumption of a snack (chips) and
lunch.
Total EI from the snack and lunch did not differ
between preloads; total daily EI was also similar
across conditions.
Kvaavik et al.,
2005
(Kvaavik et al., 2005)
n= 207; M
n= 215; F
Longitudinal, 18-20 yr follow-up Long-term, high consumption (>3-4/wk) of
sweetened soft drinks was associated with
increased EI, smoking, and decreased PA*, but not
self reported BW.
Lin et al.,
2004 (Lin et al., 2004)
n= 2,914; F Cross-sectional Soft drinks correlated positively with BMI in high-
income samples (>185% poverty guidelines).
Mattes, 1996
(R. D. Mattes, 1996)
n= 8; M
n= 8; F
normal weight
Experimental study, within-subjects,
repeated measures; 1.08L beverage
(5% ethanol beer, 2.9% ethanol light
beer, 0.1% ethanol no-alcohol beer,
cola, carbonated water) provided with
crackers and cheese; daily EI assessed
with 24-hr food records
EI was greater on days energy-containing beverage
(cola) were consumed as compared to water.
Melanson et
al., 2007
(Melanson et al., 2007)
n= 30; F
normal weight
2 day experimental study, within-
subjects, repeated measures; day 1
given HFCS-55 or SUC beverage, day
2 ad libitum EI assessed; compared
effects of sweetener on EI and related
hormones.
No differences in plasma glucose, insulin, leptin,
and ghrelin between conditions; No differences in
EI on day 2. No “control” comparison condition.
Monsivais et
al., 2007
(Monsivais et al., 2007)
n= 19; M
n=18; F
normal and
overweight
Experimental study, within-subjects,
repeated measures; 215 kcal preloads
(cola sweetened with SUC, HFCS-42
(42% fructose), HFCS-55 (55%
fructose), ASP, and 1% milk), ad
libitum meal.
No differences between SUC and HFCS sweetened
colas on meal EI, hunger, or satiety; meal EI higher
in all energy-containing beverage conditions than
no beverage and ASP beverage.
Raben et al.,
2002
(Raben et al., 2002)
n= 6; M
n= 35; F
overweight
Experimental study, parallel; given
food and beverages sweetened with
SUC (n=21) or AS (ASP, ACE-K,
cyclamate, SAC; n=20) for 10 weeks.
SUC group had increases in EI, BW, and FM.
Rodin, 1990
(Rodin, 1990)
n= 12; M
n= 12; F
normal weight and
overweight
Experimental study, within-subjects;
500ml preload (fructose, glucose,
ASP, or plain water), ad libitum meal.
Lower meal EI after fructose preload vs. other
preloads.
St. Onge et
al., 2004 (St-
Onge et al.,
2004)
n= 11; M
n= 8; F
normal weight and
overweight
Experimental study, within-subjects
repeated measures; two isocaloric
(600 kcal) isovolumetric conditions:
SSB* or mixed nutrient (17% Protein,
67% Carbohydrate, 16% Fat)
beverages followed by energy
expenditure thermic response for 7 hrs
measured via indirect calorimetry.
Reduced thermogenesis with the SSB beverage vs.
mixed nutrient beverage; higher satiety/fullness
ratings (AUC*) with the mixed nutrient beverage as
compared to the SSB following consumption.
Tordoff and
Alleva, 1990
(Tordoff & Alleva, 1990)
n= 21; M
n= 9; F
normal weight
Experimental study, within-subjects,
repeated measures; supplemented
usual diet covertly with 1150 g/day of
soda sweetened with ASP, HFCS, or
no drink for 3 weeks each.
Higher EI and BW in HFCS conditions among M
& F.
Other energy-containing beverages
DellaValle et
al., 2005
(DellaValle et al., 2005)
n= 44; F
normal weight,
overweight and
obese
Experimental study, within-subjects,
repeated measures; 360 ml beverages
(regular cola, orange juice, 1% milk,
ASP cola, tap water) or no beverage
consumed with an ad libitum meal.
Orange juice added to total meal EI. Beverage
intake has no effect on satiety; no difference in total
meal EI across energy-containing beverage
conditions; total meal EI ~104 kcal higher in
energy-containing vs. energy-free conditions due to
added beverage kcals.
Lin et al.,
2004 (Lin et al., 2004)
n= 2,914; F Cross-sectional Juice drinks correlated positively with BMI in high-
income samples (>185% poverty guidelines).
Schulze et al.,
2004 (Schulze et al., 2004)
n= 51,603; F Prospective cohort, association of
SSB consumption with weight gain
4-yr weight gain was highest in women who
increased SSB consumption from <1 per week to
1≥ per day, and lowest in woman who decreased
consumption. Increased fruit punch and fruit juice
consumption was also associated with greater
weight gain vs. decreased consumption.
Soenen and
Westerterp-
Plantenga, 2007 (Soenen & Westerterp-Plantenga, 2007)
n= 15; M
n= 15; F
normal weight
Experimental study, within subjects,
repeated measures; 800 ml preloads (0
kcal or 358 kcal SUC, HFCS, 1.5%
milk), ad libitum meal.
Total EI (preload + meal) was higher with all
energy-containing preloads as compared to the 0
kcal beverage preload. No effect on satiety.
Sun and
Empie, 2007
(Sun &
Empie, 2007)
n= 38,409; M, F Cross-sectional; association of SSB
(energy-containing soft drinks, colas,
sugar sweetened fruit beverages) with
BMI.
No relationship was found between obesity and
SSB consumption among SSB consumers and non-
consumers.
Milk
Barr et al.,
2000 (Barr et al., 2000)
n= 71; M
n= 129; F
normal weight and
overweight, aged
55-85 yrs
Randomized; 12 weeks, two groups:
skim or 1% milk supplement (three 8
oz. servings/day) or control (no
supplement). Both groups maintained
usual diets.
Weight gain in the milk group was 0.6 kg more
than the control group.
DellaValle et
al., 2005
(DellaValle et al., 2005)
n= 44; F
normal weight,
overweight and
obese
Experimental study, within-subjects,
repeated measures; 360 ml beverages
(regular cola, orange juice, 1% milk,
ASP cola, tap water) or no beverage
consumed with an ad libitum meal.
Milk added to total meal EI. Beverage intake has
no effect on satiety; no difference in total meal EI
across energy-containing beverage conditions; total
meal EI ~104 kcal higher in energy-containing vs.
energy-free conditions due to added beverage kcals.
Harper et al.,
2007 (Harper et al., 2007)
n= 22; M
normal weight
Experimental study, within-subjects,
repeated measures; 500 ml preload
(cola or skim chocolate milk), ad
libitum lunch.
Satiety and fullness were greater with milk preload
compared to cola; no difference between conditions
on meal EI.
Hollis and
Mattes, 2007
(Hollis & Mattes, 2007)
n= 28, M
n=30, F
overweight and
obese
Experimental study, crossover; 7 day
low dairy (1 portion 2% milk, 1%
chocolate milk, yogurt or cheese), 7
day washout, 7 day high dairy (3 total;
1 portion each milk, yogurt and
cheese)
EI was 209 kcal/day higher in high vs. low dairy
period. Increased dairy consumption may lead to
weight gain.
Lukaszuk et
al., 2007
(Lukaszuk et al., 2007)
n= 14; F
overweight and
obese
Randomized control trial; 720 ml/day
soy milk or skim milk on a
hypocaloric diet for 8 weeks.
No differences in weight, %BF, WC*, and FFM*
between soy and skim milk groups.
Monsivais et
al., 2007
(Monsivais et
al., 2007)
n= 19; M
n=18; F
normal and
overweight
Experimental study, within-subjects,
repeated measures; 215 kcal preloads
(cola sweetened with SUC, HFCS-42
(42% fructose), HFCS-55 (55%
fructose), ASP, and 1% milk), ad
libitum meal.
Reduced meal EI following milk beverage as
compared to SUC and HFCS beverage; total (meal
+ beverage) EI greater in milk condition than no
beverage and ASP condition.
Rosell et al.,
2006 (Rosell et al., 2006)
n=19,352; F Longitudinal, weight change over 9
yrs, association with frequencies of
dairy consumption
Consistent intake of <1 serving per day of whole
milk, sour milk and cheese was inversely associated
with weight gain.
Soenen and
Westerterp-
Plantenga,
2007 (Soenen & Westerterp-Plantenga, 2007)
n= 15; M
n= 15; F
normal weight
Experimental study, within subjects,
repeated measures; 800 ml preloads (0
kcal or 358 kcal SUC, HFCS, 1.5%
milk), ad libitum meal.
Total EI (preload + meal) was higher after the milk
preload compared to the 0 kcal preload.
Alcohol
Buemann et
al., 2002
(Buemann et al., 2002)
n= 22; M
normal weight
Experimental study, within-subjects,
repeated measures; red wine, lager
beer, or carbonated SSB were served
with an ad libitum meal. Beverages
were supplied ad libitum in first
condition and fixed in second.
Total meal EI was higher with wine than with beer
in the ad libitum beverage condition. No significant
meal EI difference when beverage intakes were
fixed.
Freiberg et al.,
2004
(Freiberg et al., 2004)
n= 3,951; M
n= 4,174; F
Cross-sectional; alcohol consumption
and metabolic syndrome prevalence
Mild to moderate alcohol consumption (>20
beverages/month), particularly wine and beer, is
associated with lower WC and metabolic syndrome
prevalence compared with non-consumers;
strongest association with beer and wine drinkers.
Lukasiewicz
et al., 2005
(Lukasiewicz et al., 2005)
n= 1,481; F
n= 1,210; M
Cross-sectional; alcohol intake was
assessed with 24-hr dietary recalls;
association of total alcohol and
specific beverages (beer, wine, spirits)
with BMI and WHR.
J-shaped relationship for WHR and total alcohol
consumption; BMI was positively associated with
total alcohol consumption and wine in M only.
Positive linear association with spirits and BMI in
M & F. No relationships found with beer.
Mattes, 1996
(R. D. Mattes, 1996)
n= 8; M
n= 8; F
normal weight
Experimental study, within-subjects,
repeated measures; 1.08L beverage
(5% ethanol beer, 2.9% ethanol light
beer, 0.1% ethanol no-alcohol beer,
cola, carbonated water) provided with
crackers and cheese; daily EI assessed
with 24-hr food records
Daily EI was greater on days energy-containing
beverages (beer, light beer, no-alcohol beer) were
consumed as compared to water. Daily EI was also
higher when the 5% beer was consumed as
compared to 0.1% beer or water.
Riserus and
Ingelsson,
2007 (Riserus & Ingelsson, 2007)
n= 807; M Cross-sectional; association of self
reported alcohol intake with insulin
sensitivity and abdominal obesity.
High alcohol intake (>81g/wk) was associated with
abdominal obesity; alcohol intake associated with
WC but not BMI.
Rossell et al.,
2003 (Rosell
et al., 2003)
n= 1,730; M
n= 1,974; F
Cross-sectional; alcohol consumption
and metabolic syndrome prevalence.
Nondrinkers had higher WHR than drinkers. In F,
metabolic syndrome was more common in non-
drinkers than drinkers. No relationship between
alcohol intake and metabolic syndrome in M.
Tolstrup et al.,
2008
(Tolstrup et al., 2008)
n= 20,472; M
n= 23,071; F
Prospective cohort, 5 yrs; association
of drinking frequency with changes in
WC.
Drinking frequency was inversely associated with
changes in WC in women but not men.
Nondrinkers and rare drinkers had highest odds of
major increases in WC.
Wannamethee
and Shaper,
2003
(Wannamethee & Shaper, 2003)
n= 7,608; M Prospective study, 5 yrs; self reported
alcohol consumption and BMI.
BMI increased significantly from the light-
moderate (≤30g/d) to very heavy alcohol (>30g/d)
intake group in a dose-response manner. Heavy
drinking was associated with weight gain over time,
but not light-moderate drinking.
*

Acesulfame K, ACE-k; Area under the curve, AUC; Artificially sweetened, AS; Aspartame, ASP; Body Fat, BF; Body mass index, BMI; Body weight, BW; Energy Intake, EI; Fat-free mass, FFM; Female, F; High Fructose corn syrup, HFCS; Male, M; National Health and Nutrition Examination Survey, NHANES; Physical Activity, PA; Saccharin, SAC; Sucrose, SUC; Sugar sweetened beverages, SSB; Waist circumference, WC; Waist-to-Hip Ratio; WHR.

2. Water

There is a common belief that water ingestion facilitates weight management. Epidemiological data indicate that energy intake among water drinkers is ~9% (194 kcal/d) lower than non-water drinkers (Popkin et al., 2005), yet few studies have directly addressed the effect of increased water consumption on weight management. Water consumed before or with a meal reduces sensations of hunger and increases satiety among nonobese adults (Lappalainen, Mennen, van Weert, & Mykkanen, 1993; Van Walleghen, Orr, Gentile, & Davy, 2007). However, young, normal weight men consume the same amount of energy at an ad libitum meal when given water (8 and 16 fl. oz) as compared to no beverage 30 minutes prior to the meal (Rolls et al., 1990). Pre-meal water consumption reduces meal energy intake in nonobese older adults (Van Walleghen et al., 2007), and also among middle-aged and older overweight/obese adults (Davy, Dennis, Dengo, Wilson, & Davy, 2008). Thus, it appears ingesting water (~16 fl oz) prior to a meal reduces meal energy intake among middle-aged and older adults by ~75-90 kcals, but may not impact meal energy intake among younger population segments (Davy, Dennis, Dengo et al., 2008; Van Walleghen et al., 2007).

Longer term studies have investigated changes in self-reported beverage intake to energy intake and weight during a weight loss intervention (see Table) (Stookey, Constant, Gardner, & Popkin, 2007). Over 12 months, drinking ≥1 L water (>33.8 fl oz) per day increased weight loss by ~ 2 kg as compared to drinking less water (Stookey, Constant, Popkin, & Gardner, 2008). However, these investigations relied on self-reported data and to date, no clinical intervention studies have assessed the influence of increased water consumption on weight loss in adults; the aforementioned intervention compared popular weight loss diets and water/beverage consumption was not the primary focus. Preliminary data suggests increasing daily water intake may facilitate long term weight loss among middle-aged and older adults (Davy, Dennis, Akers, Dengo, & Davy, 2008); a trend (p=0.09) was detected for greater weight loss after 6 months among individuals (n=20) following a hypocaloric diet along with three 500-ml bottled water per day (16.9 fl oz) as compared to those in a diet-only control condition. Additional long term studies with larger sample sizes are needed to confirm this possibility.

There may be other benefits of water consumption for weight management, such as increased metabolic rate (Boschmann et al., 2003; Brown, Dulloo, & Montani, 2006). Additional research is needed to confirm these findings, as well as to address issues of optimal volume and timing of water ingestion for managing hunger and reducing meal energy intake.

The Beverage Guidance Panel provided an overview of the nutritional benefits and risks of different beverage categories, and provided recommendations for beverage intake in relation to weight status and health (Popkin et al., 2006). These recommendations were controversial, in that not all were supported by scientific data (Kaplan, 2006; Weaver et al., 2006). Though there is not a Recommended Daily Allowance (RDA) for total water intake due to insufficient evidence and individual variability, the Institute of Medicine’s Food and Nutrition Board suggested a Daily Recommended Intake (DRI) for adult males and nonpregnant, nonlactating females over 19 years of 3.7 L/day and 2.7 L/day, respectively. However, this includes total water from all beverages such as coffee, tea, juices, soda and water, as well as moisture from foods (Panel on Dietary Reference Intakes for Electrolytes and Water, 2004). An Adequate Intake (AI) of 3.0 L/day for men and 2.2 L/day for women (~104 fl oz and 72 fl oz) of total beverages, including water, was also recommended. These guidelines recommend that individuals be attentive to thirst cues and consume beverages with meals to maintain adequate hydration status, but do not make specific recommendations pertaining to beverage consumption and weight management. Thus, epidemiological and acute meal studies suggests a beneficial role for water consumption in reducing energy intake and promoting weight management, yet there is insufficient data from intervention studies to make conclusive evidence-based intake recommendations for water consumption.

3. Other Energy-Free Beverages

3.1. Energy-free, Artificially Sweetened Beverages

Approximately one fifth of US adults consume energy-free, artificially sweetened beverages, such as diet soft drinks and other artificially sweetened beverages (Duffey & Popkin, 2006). These beverages provide a source of water and sweetness in the diet without additional energy (Popkin et al., 2006). Concern about a negative effect of diet soft drink consumption on energy intake arose from animal studies reporting an increased food intake and weight gain following prolonged exposure to saccharin-sweetened yogurt (Swithers & Davidson, 2008). This suggested that artificial sweeteners may “uncouple” a relationship between sweet taste and energy content, which prompted rodents to consume more food and gain weight (Swithers & Davidson, 2008). Yet, in humans there are conflicting data on artificial sweetener intake and weight status and most available data are correlational; few intervention studies have investigated the influence of energy-free artificially-sweetened beverages on energy intake regulation and body weight. Specifically, habitual intake of artificially sweetened beverages is associated with self-reported BMI, and high consumers of artificially sweetened beverages (>28 fl oz/d) were more likely to report body weight concerns such as restrained eating and body dissatisfaction (Appleton & Conner, 2001). A dose-response relationship between artificially sweetened beverage consumption and BMI change over time has also been reported; odds of becoming overweight/obese for individuals consuming >22 artificially sweetened drinks per week was almost twice that of individuals consuming no artificially sweetened beverages (Fowler et al., 2008). However, those consuming artificially sweetened beverages were more likely to be female, dieting, and overweight/obese at baseline.

In contrast, epidemiological investigations have reported that women who increased diet soft drink consumption gained less weight over a four-year period than women who decreased diet soft drink consumption (Schulze et al., 2004). In addition, replacing energy-containing beverages with artificially sweetened beverages was associated with greater weight loss (~1.6 kg) over 12 months, which is slightly less than that reported with water (Stookey et al., 2008).

In ad libitum meal studies, artificially sweetened beverage preloads (i.e. prior to the ingestion of a meal) do not appear to stimulate appetite or affect subsequent food intake (Canty & Chan, 1991; Holt et al., 2000; Rodin, 1990), and short term intervention studies incorporating artificially sweetened beverages into the usual diet have demonstrated weight loss in both overweight (Raben, Vasilaras, Moller, & Astrup, 2002) and normal weight adults (Tordoff & Alleva, 1990). Thus, although epidemiological data in this area are conflicting, existing experimental/intervention trials do not suggest that energy-free artificially sweetened beverages increase food intake or body weight. These beverages could be used as an alternative to water as a substitution for energy-containing beverages, particularly for interventions _targeting weight management.

3.2. Coffee and Tea

Coffee and tea in their unaltered form contribute fluid to the diet without contributing energy. Increased coffee and tea consumption is associated with less weight gain over time in men and women; this observation is not attributed to beverage caffeine content (Lopez-Garcia et al., 2006). Adults who routinely (i.e., ≥1 time per week) consumed green, oolong or black tea for >10 years have lower body fat percentages and smaller waist circumferences than nonconsumers (Wu et al., 2003), and research has suggested that green tea in particular may play a role in weight loss and weight maintenance. Green tea contains catechins, particularly epigallocatechin gallate (EGCG), which in concentrated supplement form has been shown to increase fat oxidation (Auvichayapat et al., 2008; Dulloo et al., 1999; Venables, Hulston, Cox, & Jeukendrup, 2008), reduce body fat (Nagao, Hase, & Tokimitsu, 2007), and increase weight loss (Auvichayapat et al., 2008). However, several cups of tea must be consumed to achieve the benefits of the catechin levels found in concentrated forms. In contrast, daily energy intake among high consumers of popular energy-containing coffee and tea drinks (i.e. lattes, espressos, café mochas, cappuccinos) is 206 kcal higher than nonconsumers (Shields, Corrales, & Metallinos-Katsaras, 2004). Thus, while there may be some benefits to consuming coffee and tea in their energy-free form, consumption of energy-containing coffee and tea drinks may increase total energy intake.

4. Energy-containing Beverages

4.1. Soft Drinks

Regular (sweetened) soft drinks are the greatest contributor of energy in the American diet (Block, 2004). A recent meta-analysis (Vartanian, Schwartz, & Brownell, 2007) reported a clear association between soft drink consumption and increased energy intake, and previous reviews have concluded that a strong association exists between sweetened soft drink consumption and risk of overweight/obesity (Malik, Schulze, & Hu, 2006). However, others suggest that dietary behaviors (i.e., food choices, dietary restraint, energy intake, beverage type and usage) and economics (i.e., poverty, food and beverage costs) contribute to obesity more than sugar-sweetened beverages (Drewnowski & Bellisle, 2007). Increased intake of soft drinks is associated with BMI (Lin, Huang, & French, 2004), weight gain and the risk of type 2 diabetes (Schulze et al., 2004), and risk factors for the metabolic syndrome (Dhingra et al., 2007). Soft drink consumers (>4 servings/wk) have higher total energy intakes and engage in less physical activity than low soft drink consumers (≤3 servings/wk) (Kvaavik, Andersen, & Klepp, 2005; Schulze et al., 2004). Longitudinal studies report that women who decrease their intake of soft drinks over a four-year period gain less weight than those who maintain or increase their soft drink intake (Schulze et al., 2004). Intervention studies indicate that consuming soft drinks for 3-weeks increases usual energy intake and body weight (Tordoff & Alleva, 1990), and although data are conflicting, some acute meal studies suggest an increase in total meal energy intake (i.e., beverage + meal) when sugar-sweetened soft drinks are consumed (see Table). Methodological differences may explain conflicting study outcomes in this area.

High fructose corn syrup (HFCS) is a primary ingredient in soft drinks, mainly because of its sweet taste, low cost and wide availability. Its potential role in the obesity epidemic has been suggested (Bray, Nielsen, & Popkin, 2004), but an expert panel assembled by The Center for Food, Nutrition, and Agricultural Policy conducted a review and concluded that HFCS consumption is not “uniquely” responsible for increasing rates of obesity (Forshee et al., 2007). Individual sweeteners (i.e., sucrose, HFCS) appear to have similar effects on intake-related hormones and energy intake (Melanson et al., 2007). Although controversy remains (Allison & Mattes, 2009; Brownell & Frieden, 2009), most research in this area suggests that energy-containing soft drink intake should be limited, regardless of sweetener type.

4.2. Juice and Juice Drinks

Fruit juices (100% juice) contain important nutrients, and are a contributor to total fruit intake (USDA). However, fruit juices contain little or no fiber, and because beverages are less satiating than solid foods (Flood-Obbagy & Rolls, 2009; R. D. Mattes, 1996), whole fruit is preferable for weight management (Popkin et al., 2006; USDA). Increased consumption of fruit juice (juice or juice drinks) compared with decreased consumption over four years is associated with weight gain, as is fruit drink intake (i.e., fruit punch, sweetened fruit-flavored drinks)(Schulze et al., 2004). Due to their minimal nutritional value and energy content, juice drink intake should be minimized (Popkin et al., 2006), and whole fruit should be encouraged rather than fruit juice due to its greater satiating ability.

4.3. Milk and Soy Beverages

Fluid milk is a major source of energy and calcium in the US diet (Cotton, Subar, Friday, & Cook, 2004). In recent years, a great deal of attention has focused upon the role of dietary calcium in weight loss. Interest in calcium arose from its role in the regulation of energy metabolism, specifically related to hormones influencing lipolysis and fatty acid synthesis (Zemel & Miller, 2004). Studies have associated a higher milk intake with less weight gain over time (Rosell, Hakansson, & Wolk, 2006), which suggests that milk consumption may be beneficial for weight management. Research has demonstrated that consumption of calcium-containing beverages promotes weight loss (Lukaszuk, Luebbers, & Gordon, 2007; Zemel & Miller, 2004), however conflicting evidence also exists (Barr et al., 2000).

Milk is rich in nutrients, however high milk consumption could increase dietary fat, cholesterol, and energy intake, and contribute to weight gain (Barr et al., 2000; Cotton et al., 2004; Hollis & Mattes, 2007). Satiety and fullness are greater after consumption of a skim milk beverage as compared to a sugar-sweetened beverage, however meal energy intake with the two beverages is not different (Harper et al., 2007; Soenen & Westerterp-Plantenga, 2007). Intervention studies (Barr et al., 2000) have demonstrated that increasing skim or 1% milk consumption by three servings per day without other intentional dietary changes leads to weight gain among adults aged 55-85 yrs, although less than would be expected based upon the additional energy provided in the milk.

Most research in this area has focused on dairy products; however, soy milk may be comparable to skim milk at facilitating weight loss (see Table). Individuals on a hypocaloric diet supplemented either with soy or skim milk lost equal amounts of weight and had similar nutrient intakes (Lukaszuk et al., 2007). Thus, consumption of either dairy or soy milk may be beneficial as part of a hypocaloric diet. Due to their energy and fat content, low-fat or non-fat options may be recommended, and appropriate reductions in other sources of energy should be encouraged to compensate for the energy content of the dairy or soy beverages.

4.4. Alcohol

Beer is among the top ten sources of energy in the US diet (Block, 2004). Although possibly controversial, the Beverage Guidance Panel (Popkin et al., 2006) categorized alcohol as an energy-containing beverage with some nutrients. Alcohol drinkers experience health benefits not seen in abstainers including smaller waist circumference (Tolstrup et al., 2008) and a lower prevalence of metabolic syndrome (Freiberg, Cabral, Heeren, Vasan, & Curtis Ellison, 2004; Rosell, De Faire, & Hellenius, 2003). Others have associated a high alcohol intake (>81 g/wk) with abdominal obesity; however, after accounting for alcoholic beverage type (beer, wine, liquor), only liquor consumption was associated with abdominal obesity (Riserus & Ingelsson, 2007). Similarly, a linear relationship between intake of spirits and BMI has been reported (see Table) (Lukasiewicz et al., 2005). Associations have also been found between a heavy alcohol intake (>30 g/day; a glass of wine represented ~10g alcohol), weight gain and obesity, but not light-moderate alcohol intake (Wannamethee & Shaper, 2003). This appears consistent with studies reporting a J-shaped relationship between total alcohol consumption and waist-to-hip ratio and BMI (Lukasiewicz et al., 2005). Conflicting results may be due to confounding factors related to alcohol intake and weight status, such as smoking, physical activity, educational level, and economic status, as well as to alcoholic beverage type (Rosell et al., 2003).

Clinical studies investigating alcohol consumption and meal energy intake have found that ad libitum alcoholic beverage consumption increased total meal energy intake as compared to soft drink consumption (Buemann, Toubro, & Astrup, 2002), and that daily energy intake was greater after consuming a 5% alcohol beer as compared to a nonalcoholic beer or cola (R. D. Mattes, 1996). Overconsumption of alcoholic beverages at a meal may be related to increased thirst due to their diuretic effect (Buemann et al., 2002), although others report that moderate alcohol consumption does not exert a diuretic effect (McDonald & Margen, 1979). A high plasma alcohol concentration may reduce dietary cognitive restraint and promote energy overconsumption (Buemann et al., 2002).

Moderate alcohol consumption may have health benefits (Goldberg, Mosca, Piano, & Fisher, 2001), including less weight gain with time (Wannamethee & Shaper, 2003) and a lower risk of abdominal obesity (Freiberg et al., 2004; Rosell et al., 2003; Tolstrup et al., 2008). Some evidence suggests more benefits of wine and beer consumption (Freiberg et al., 2004) as opposed to consumption of liquor/spirits (Lukasiewicz et al., 2005). However, as with other energy-containing beverages that appear to be additive to meal/daily energy intake, energy intake may acutely increase with alcohol ingestion. Thus, as with other energy-containing beverages that appear to be additive to meal/daily energy intake, portion control and moderation should be encouraged.

5. Conclusions

In the US, energy intake from beverages has increased dramatically in recent decades (Nielsen & Popkin, 2004). Americans are consuming more energy from soft drinks (Block, 2004) which may be replacing water and nutrient-containing beverages such as milk. Because energy-containing beverages do not promote satiety (R. D. Mattes, 1996), intake of energy-containing beverages may be an important dietary factor contributing to weight gain. In contrast, water consumption may reduce hunger and energy intake (Davy, Dennis, Dengo et al., 2008; Stookey et al., 2007; Stookey et al., 2008; Van Walleghen et al., 2007). These benefits, as well as its low cost and wide availability, suggests that increased water consumption ( >1 L/day; >33.8 fl oz) and a reduced intake of energy-containing beverages (Stookey et al., 2008) may facilitate weight management. However, this has not been directly addressed beyond the acute meal setting.

A limited amount of research suggests that other energy-free beverages (i.e., diet soft drinks, coffee/tea) may facilitate weight management, particularly if substituted for energy-containing beverages (Stookey et al., 2008). While there may be health benefits to consuming milk, 100% fruit juice, and in moderation, alcoholic beverages, additional energy provided by these beverages must be compensated for by reducing food intake. A summary of research investigating beverage consumption (by category), acute energy intake and body weight is provided in the Figure. Due to the lack of long-term intervention studies, further research is warranted to determine if specific patterns of beverage consumption improves health and weight status.

Figure.

Figure

Summary: Influence of beverage consumption on acute energy intake and body weighta

There are a number of limitations to existing research which should be acknowledged. First, a conflict of interest may exist between financial sponsors of beverage research and researchers. Industry-sponsored research may be less likely to report unfavorable results compared to studies with no industry support (Lesser, Ebbeling, Goozner, Wypij, & Ludwig, 2007). Differences in effect sizes between industry-funded and non-funded research studies have also been reported (Vartanian et al., 2007). Therefore, financial disclosures should be considered when evaluating this literature. A second limitation, as mentioned previously, is the lack of randomized controlled trials. Available literature largely consists of epidemiological studies, which provide evidence of associations of beverage intake and weight status but not causal relationships, and from short-term feeding studies. Other limitations include possible confounding lifestyle behaviors by categories of beverage consumers (Duffey & Popkin, 2006; Popkin et al., 2005), and aging, which may independently influence gastric emptying and energy intake regulation (Davy, Dennis, Dengo et al., 2008; Van Walleghen et al., 2007).

Weight management practitioners may consider the recently proposed beverage intake guidelines (Popkin et al., 2006), and existing fluid intake recommendations. To maintain hydration, an AI of 3.0 L/day for men and 2.2 L/day for women (~104 fl oz and 72 fl oz, respectively) of total beverages is recommended, but no specific recommendations for water intake and weight management exist. An increase in the total beverage volume consumed is associated with greater weight loss during a hypocaloric diet (Stookey et al., 2008); therefore, water (> 1 L/day; >33.8 fl oz) and other energy-free beverages should be consumed to satisfy thirst and promote optimal hydration status, without increasing total energy intake. Solid fruits should be emphasized to meet fruit intake recommendations, and low-fat/non-fat dairy or soy products may be recommended to provide micronutrients while minimizing saturated fat and energy intake. Alcoholic beverages should be consumed in moderation, for those who wish to consume alcohol. Other energy-containing beverages (i.e., soft drinks, fruit drinks and whole milk) are not recommended for frequent consumption due to their energy content and low satiating ability, as energy provided by beverages appears additive to total energy intake. As highlighted in a recent commentary (Allison & Mattes, 2009), additional research addressing the role of beverage consumption in adult weight management is clearly needed.

Footnotes

Disclosure: The corresponding author has received research funding for prior work from the Institute for Public Health and Water Research.

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