Beverage intake and obesity in Australian children
© Clifton et al; licensee BioMed Central Ltd. 2011
Received: 5 September 2011
Accepted: 12 December 2011
Published: 12 December 2011
There have been increases in the obesity and overweight rates in Australian children over the past 25 years and it has been suggested that sugar sweetened beverages (SSB) have played a role in this increase.
The objectives of this study were to: (1) examine SSB intakes in the 2007 Australian Children's Nutrition and Physical Activity Survey (2) relate SSB intake to rates of overweight and obesity, socio-economic status (SES), TV viewing time, and activity levels and (3) compare 2007 SSB intakes with data from the 1995 National Nutrition Survey.
A computer assisted 24 h dietary recall in 4,400 children aged 2-16 years was performed.
In the 2007 survey 47% of all children reported drinking SSBs with 25% consuming sugar sweetened soft drinks on the day of the survey. The mean consumption of soft drink was 436 g/d/consumer. Activity levels were unrelated to SSB consumption. Television viewing was positively related to soft drink consumption with a difference of 55 g/day from bottom to top tertile of time spent TV viewing (p = 0.015) in children aged 9-16 years. 55% of SSB consumption occurred at home and 10% occurred at school. Lower SES status was associated with a greater prevalence of SSB consumption- 30% for the lowest SES quartile vs 19% in the highest quartile. The proportion of overweight who consumed SSBs (which excludes 100% fruit) was not different from the non-overweight children although the proportion of SSB consumers in the 6% of children who were obese was significant compared with the non-overweight children (59% vs 47%, p < 0.05). In the 2007 survey 23% of children were overweight (17%) or obese (6%) while in the 1995 survey this figure was 21%. The proportion of children consuming SSBs in 1995 and 2007 for selected age groups were: 2-3 years - 25.8% and 12.8% respectively and 4-7 years - 33.6% and 20.5% respectively (p < 0.001 for both).
This cross-sectional data set provides evidence that SSB consumption for Australian children is still high despite the decrease since 1995 in some age groups. It provides little support to conclude that overweight in children is currently being driven by excessive SSB consumption although it may be factor in some obese children. Conclusions are limited by the cross sectional nature of the study.
In the USA increases in sweetened beverage consumption have been associated with the increase in adult and childhood obesity [1, 2] and calls have been made for increases in taxation on these products to reduce consumption [3, 4]. The use of high fructose corn syrup has also been associated with the increase in obesity , although some authors have disputed that this is a causal relationship [6, 7]. The rate of obesity and overweight in children in Australia is now approximately 25% [National health screening 2007/2008, ] but there has been little exploration of the relationship between soft drink consumption and body weight in Australia apart from one small study [9, 10]. However Australian authors have also proposed the weight of evidence indicates that soft drinks are a major issue in childhood and adolescent obesity and that the doubling of consumption of soft drinks from 47 L/head [adult and children] in 1969 to 113 L/head in 1999 is related to increases in childhood obesity . We utilised information from the 2007 Australian National Children's Nutrition and Physical Activity Survey to examine this issue and made comparisons with data in children from the 1995 National Nutrition Survey, Australian manufacturers' sales data and with other small surveys in children.
Subjects and Methods
The 2007 Australian National Children's Nutrition and Physical activity survey gathered information on 4,487 children aged 2-16 years between February and August 2007 . The survey measured dietary intakes of food and beverages, use of supplements during the previous 24 hours, some food habits, height, weight and BMI, waist circumference, and demographic characteristics in all children and time spent in physical activity and screen time and the number of steps taken daily in the 9-16 and 5-16 year olds respectively. Households with children were randomly selected using random digit dialling from all Australian states and territories in metropolitan, rural and remote areas. The survey design was a 2-stage cluster design with stratification. The primary sampling units were postcodes. The number of children included from each state was proportional to the population of children in that state or territory. The response rate of eligible children was 41%. The data were collected at a face-to-face home visit with computer assistance. Questions were specifically asked about beverages on 2 occasions during the review of food and beverages in the previous 24 h. Physical activity was measured using two different approaches. Use of time was measured in children aged 9-16 years using a validated computerised 24-hour recall . Children recalled a total of four days. Pedometers were also used to measure the average number of steps taken daily over 6 days by children aged 5-16 years. There was quota sampling with 500 boys and 500 girls in each age group [2-3, 4-8, 9-13 and 14-16 years] recruited nationally with an additional 400 in South Australia across all age groups. The sample appeared to collect fewer single parent families and have a higher family income than a nationally representative sample.
Personal interview data from the face to face dietary 24-hour recall interview only was used for this report. "Consumers" of individual non-dairy non-alcoholic beverage items were defined as any children who had consumed that particular non-dairy non-alcoholic beverage item in any amount on the day of the 24 hour food recall collected during the computer assisted Data in the 2007 survey were not gathered during the summer.
BMI was assessed using measured weight and height and the cut points for overweight and obesity were those described by Cole et al [14, 15] from the International Obesity Taskforce which have been used extensively in Australia since their publication. Socio economic status of the child was based on one of the Socio-Economic Indexes for Areas [SEIFA], Australia - Index of Relative Socio-economic Disadvantage [IRSD], which focuses primarily on disadvantage, and is derived from Census variables like low income, low educational attainment, unemployment, and dwellings without motor vehicles .
Data from the 1995 National Nutrition Survey are available online from the Australian Bureau of Statistics [17, 18] while weight data from this and previous 1985 surveys have been reanalysed by Magarey et al . The 1995 Nutrition survey was part of a National Health Survey of preselected households in which a proportion of participants were asked face to face if they wished to participate in a nutrition survey. The survey was a multiple pass 24 h diet recall with a confirmation survey in 10% of participants. The nutrition survey was conducted in all months of the year.
Manufacturers data on the total annual sales of sugar sweetened and non nutritive sweetened beverages was obtained directly from Coca Cola South Pacific.
All estimates [means, medians and percentages] were population weighted to take account of the non-proportionate sampling survey procedure. Weightings in this survey were based on age, gender and region [by State/Territory and by Capital City/Rest of State]. Statistical analyses were performed using Stata Version 10.1 [StataCorp, Texas, USA]. Jack knife replicate weights were used to allow for the complex survey design. Pearson Chi-Square tests were used to determine differences between categorical variables. Linear regression was used to test the association between dietary intakes and independent variables [ie. food group consumption and television viewing].
The p value of all results has been Bonferroni adjusted to take into account the 5 major endpoints in this study - activity, TV viewing, body weight, SES categories and comparison with 1995 intakes.
The major focus of this paper will be on sugar sweetened, non dairy, non alcoholic beverages [called sugar sweetened beverages or SSBs in other publications]. This includes sugar sweetened carbonated drinks [soft drinks in Australia or soda in the USA], fruit drinks, cordials, flavoured waters, energy drinks, iced tea and sports drinks and excludes 100% fruit juice. Water intake will not be addressed in detail.
Consumption of sweetened beverages
Consumption patterns by age and gender
There was an increase [P < 0.01] in the number of consumers of sugar sweetened soft drinks increasing from 9.7% in the 2-3 year age group to 32.9% in the 14-16 year age group with no differences in the trend between boys and girls. A similar trend was seen in non-nutritive soft drinks increasing from 2.2 to 8.6% across this age range [P < 0.01]. Similar trends were seen in sports and energy drinks although the numbers of children who consumed these drinks was relatively low [data not shown]. Overall 4.7% more boys consumed sugar sweetened soft drinks than girls [P = 0.01]. In consumers aged 9-13 years the 3rd tertile of intake of sugar-sweetened beverages was > 600 g/d while in the children aged 14-16 years the 3rd tertile was > 721 g/d.
Percentage of children consuming major categories of non alcoholic, non dairy beverages and the mean consumption [g/d/consumer] in consumers.
Mean g/d per consumer
214 ± 168
295 ± 218
347 ± 219
406 ± 265
232 ± 137
267 ± 134
311 ± 181
473 ± 517
401 ± 383
377 ± 246
471 ± 346
600 ± 542
Sugar sweetened soft drinks
200 ± 112
335 ± 185
496 ± 296
591 ± 349
Diet soft drinks
197 ± 137*
242 ± 125
392 ± 206
489 ± 256
213 ± 157
243 ± 158
299 ± 201
341 ± 229
260 ± 182
269 ± 180
275 ± 136
311 ± 139
319 ± 200
348 ± 257
436 ± 330
470 ± 338
Sugar sweetened Soft drinks
214 ± 143
279 ± 206
407 ± 266
507 ± 328
Diet soft drinks
133 ± 122*
223 ± 98
378 ± 254
417 ± 206
Association with weight status
Association between weight status and beverage consumption
Mean daily intake per consumer [g]
339 ± 308
379 ± 257
545 ± 387
649 ± 465
345 ± 277
422 ± 274
527 ± 351
646 ± 516
Non Nutritive SSB
Mean daily intake per consumer [g]
214 ± 149
290 ± 207
418 ± 274
460 ± 294
230 ± 114
253 ± 140
388 ± 296
554 ± 261
Mean daily intake per consumer [g]
215 ± 163
270 ± 199
322 ± 219
365 ± 240
206 ± 159
281 ± 182
323 ± 188
400 ± 276
Location of consumption
A large proportion of all beverages [55%-77%] were consumed at home and only about 10% or less was consumed at school, kindergarten or pre school.
Association with behaviours associated with weight gain
There was no relationship between soft drink intake and whether the child met or did not meet physical activity guidelines [guidelines are met if child performed at least 60 minutes of moderate to vigorous physical activity level on most days surveyed [i.e. 3 out of 4 days], data collected over 2 × 2 days]. The difference seen across tertiles of TV viewing was the same in active and less active children.
Percentage energy from soft drinks
The percentage of total energy from sugar sweetened soft drinks was 6.6% in consumers ranging from 4.6% in the youngest age group to 7.5% in the oldest age group. Similar energy intakes were seen in consumers with fruit drinks [6.2%], cordial [4.2%], iced tea [6.7%] flavored water [4.5%], sports drinks [6.5%] and energy drinks [7.1%]. This compares with 5.4% for fruit juice and 5.4% for all non dairy, non alcoholic beverages in consumers. Across all children [ie including consumers and non-consumers] 1.6% of total energy came from sugar sweetened soft drinks, 2% from fruit juice and 0.8% from cordials and 0.6% from fruit drinks.
The mean energy intake of sweetened beverage [including non-nutritive sweetened beverages] consumers was 1129kJ /day, greater than non-consumers across all groups with 31g/day greater mean total sugars intake [both P < 0.01].
Association with socio economic status
Relationship between SES and weight status
Age group [yr]
Weight status [%]
Changes since the previous survey in 1995
Beverage consumption in 1995 and 2007
Age Range [yr]
16-18 [only 16 in 2007]
16-18 [only 16 in 2007]
Relationship to dairy milk consumption
High and low consumers of sugar sweetened soft drinks did not differ in their unflavoured milk consumption [mean of 217 g/day for the lowest tertile vs 223 g/day in the top tertile] although there was a small, non significant difference in milk intake between non consumers and consumers of sweetened beverages [mean of 273 g/day vs 212 g/day]. The mean daily intake in consumers of sweetened beverages was significantly lower for calcium [934 mg vs 965 mg, p = 0.03] when compared to nonconsumers.
Correlation of survey intake data with beverage manufacturers sales data
Based on the reported consumption data of 25% of children drinking sugar sweetened soft drink with a mean intake in consumers of 436 g/day, the estimated total annual consumption in this age group would be 159 L/head per consumer or 40 L/head overall. The major item in the sugar sweetened beverage category was carbonated soft drinks although 20% reported drinking cordial [mean intake 429 g/day], 10% fruit drinks [mean intake 294 g/day] and 2% sports or energy drinks [mean intake 620 g/day]. This equates to an additional 46 L/head/year with a mean total of 86 L/head per year. These values tally very well with the estimate consumption of 80 L/head/year of sugar sweetened beverages from a total population of 22 million people consuming 1500,000,000 L per year of sweetened beverages. This concordance in intake data suggests that children in the 2007 survey are representative of the whole population and are not a biased sample despite only a 41% response rate.
Obesity rates in children in Australia 1985-2007
The South Australian Child Youth Help Study in 2002 indicated that obese preschoolers aged 4 years rose from 3.5% in girls and 3.2% in boys in 1995 to 5.8% for girls and 4.1% for boys in 2002 . In data from South Australia's preschool health check [ages 4-5 years] the rates of overweight [14%] and obesity [5%] the rates have not changed from 1999 to 2008, following a significant jump from 1995 where the combined rates increased from 11 to 19% .
The overweight and obesity rates are slightly greater in the 2007-08 National Health Survey [5000 children aged 0-17 ] where 24.9% of children aged 5 - 17 years were overweight or obese. 25.8% of boys and 24.0% of girls were either overweight or obese while the obesity rates were 9.7% in boys and 5.8% in girls.
Changes in intake as assessed by manufacturers data
Total sugar sweetened beverage consumption in Australia showed a weak 12% trend downwards from 2002-2006 [from about 1600 m litres to 1400 m litres, p = 0.016]. This trend appears to have ceased in the period from 2006 to 2009. However non sugar sweetened beverages [ie diet drinks] have increased significantly [p < 0.001] by 56% and this trend has continued beyond the survey period out to 2009. There have been large relative increases in energy drinks and teas although overall levels of consumption are still low [22 and personal communication-Coca Cola South Pacific ].
The 2007 children's survey, a cross sectional study, showed no relationship between overweight status and sugar sweetened beverage consumption on the day of the survey, although there was a significant difference in consumption patterns in the small group of obese children. Despite small increases in the rates of both overweight and obesity between 1995 and 2007 there was a steady small decline in sugar sweetened soft drink consumption between 2002 to 2006 and an increase in diet drinks based on manufacturers' data which is also reflected by a decline in mean amount consumed of sugar sweetened beverages [as a percentage of energy] from the 1995 to 2007 surveys. Conclusions about the causal relationship between soft drink consumption and overweight are limited by the cross sectional nature of the study. Reverse causation, although possible in the overweight group, is unlikely given the observed positive relationship between SSB consumption and obesity. It would be expected that individuals in the obese group would be more likely to swap diet drinks for SSB given that many in the overweight group may be unaware of their weight status. The overweight/obese group combined consumed more diet drinks than the normal weight group.
However two well established risk factors for obesity, lower SES and higher TV viewing hours were associated with increased sugar sweetened beverage consumption in this survey. Consumption of sugar sweetened soft drinks was nearly twice as common in children from low SES areas with larger volumes consumed as well suggesting this may be a factor in the almost doubled rate of obesity in this group. In contrast sugar sweetened beverages appeared not to be a factor in overweight children regardless of SES quartile and the greater consumption of SSB in the lower SES quartiles could not be explained by the behaviour of the obese group alone. In an analysis of the 1995 National Nutrition Survey no relationship was seen between beverage consumption and SES  which suggests that beverage behaviour has changed over the last 12 years.
Two other Australian studies [24, 25] have also shown that a higher intake of soft drinks was associated with lower socio-economic status [SES] in school students. Apart from the 2007 Children's Survey and the Barwon area surveys  there are little data from Australia on the relationship between BMI and soft drink consumption. Tam et al  followed 281 children aged 7-8 years from Western Sydney [a low SES area] for 5 years and found that the intake of soft drink/cordial [as assessed by 3 day weighed food record] was 10 g/day higher in children who were overweight/obese at follow-up compared to those who had an acceptable BMI at both baseline and follow-up [P = 0.002]. Fruit juice/fruit drink and milk consumption were not related to weight status. The relationship between TV viewing and weight status in Australian children is limited but in accord with other studies is relatively weak. In a large Victorian study in a total of 2862 children aged 5-13 years child mean BMI z-scores were significantly related to television viewing [F = 10.23, P < 0.001] but accounted for only 1% of total BMI variance. When parental BMI, parental education, number of siblings, food intake, organized exercise and general activity level were adjusted for as potential confounders, television ceased to be independently significantly related to child BMI. Using adjusted logistic regression, the odds of being overweight and obese generally increased with increasing television viewing . TV viewing for more than 2 hours/day in Melbourne primary school children [n = 1560] is also associated with both high energy drinks and savoury snack consumption . Although the relationship between weight and SSB consumption is not clear the increased consumption of SSBs in those of low SES status and those who watch many hours of TV is likely to increase their risk of type 2 diabetes and metabolic syndrome in later life 
In the UK only weak cross sectional relationships between sugar-sweetened beverages and weight status are apparent . In the UK National Dietary and Nutritional Survey of Young People [n = 1,294 aged 7-18 years] non-milk extrinsic sugars and caloric soft drinks [excluding 100% fruit juice] were quantified by their contribution to energy intake. The BMI z-score was weakly inversely correlated with percentage energy from non milk extrinsic sugars after adjustment for under-reporting and dieting [r = -0.06, P = 0.03]. The percentage of energy from soft drinks was not associated with the BMI z-score or physical activity. After excluding under-reporters and dieters, the heaviest children [top quintile of BMI z-scores] consumed more total energy [+1,220 kJ/day] than those in the lowest quintile, but only 60 kJ [5%] was from soft drinks. The top tertile intakes of caloric soft drinks were not associated with overweight [OR = 1.39, CI = 0.96-2.0] but when divided into quintiles obesity rates were higher in the top quintile in which children consumed a -mean of 870 kJ/day or about 550 g/d of soft drink [OR = 1.67, CI = 1.04-2.66, P = 0.03].
In the USA it would appear that a similar proportion of children consume sugar sweetened beverages as in Australia although the rates are lower in Australia in the 2007 survey as the survey period was one day only. In the 1994-6 Continuing Survey of Food Intake [1810 children aged 2-16 years] 51% of pre-schoolers up to 82% of adolescents consumed soft drinks over the 2 days of the survey. This was a 65-74% increase over the previous survey in 1977-79 . In a recent 2010 USDA report  the estimated current caloric contribution of sugar sweetened beverages in children 2-19 years was 193 kilocalories per day or about 480 g of drink. There has been a fall in sugar sweetened soda in the USA from 1999 to 2006 of about 30 g/day and a flattening of the increase in overweight rates in children. In NHANES 111 [1988-1994] beverages contributed 20-24% of energy across ages 2-19 years while soft drinks provided 8% of energy in adolescents . Per-capita daily caloric contribution from sugar-sweetened beverages and 100% fruit juice increased from 242 kcal/day to 270 kcal/day in 1999-2004. There was no change in per-capita consumption among white adolescents but significant increases among black and Mexican American youths . In a secondary analysis of 1572 preschool children examined in NHANES 1999-2002, O'Connor et al  found that 83% of children drank milk, 48% drank 100% fruit juice, 44% drank fruit drink, and 39% drank soda. Weight status of the child had no association with the amount of total beverages, milk, 100% fruit juice, fruit drink, or soda consumed. There was no clinically significant association between the types of milk [percentage of fat] consumed and weight status. Daily total energy intake increased with increased consumption of milk, 100% fruit juice, fruit drinks, and soda, but there was not a statistically significant increase in BMI on the basis of quantity of milk, 100% fruit juice, fruit drink, or soda consumed.
There are few long term prospective studies examining beverage intake and BMI changes and those in the literature mostly have data from before 1998 so they may not reflect recent changes in behaviour. Forshee et al  performed a meta analysis of 10 longitudinal and 2 randomized controlled trials and found that BMI changed by 0.004 units for each serving/day change in SSBs which was not significant [95% confidence interval -0.006, 0.014] although Malik reanalysed the same studies and found a positive relationship which was significant in only those studies which did not adjust for total energy with an 0.08 BMI units per change in 12 oz serving of SSB . Part of the reasons for the difference lay in the use by Malik of correct scaling of the original data as well as differing weights of each study in a random effects analysis. However even with these changes the effect on BMI was still not significant The main point of difference was the use or otherwise of results from studies that had adjusted for energy intake as there was no relationship seen in those which adjusted for energy intake whereas there was a clear relationship in those which did not adjust. This suggests that SSBs contribute to the overall increase in energy seen in those who gain weight but do not have a unique out of proportion contribution.
In California there have been substantial declines from 2003 to 2007 in high SSB consumption [defined as having more than one SSB drink the previous day] varying from a reduction of 5% to 37.5% with the greatest change in the 12-17 age group. Obesity rates also declined in the 2-5 and 6-11 age group but not the 12-17 age group. Children and teenagers in 2005 and 2007 were significantly less likely than those surveyed in 2003 to have high SSB consumption after adjusting for gender, age, race/ethnicity, poverty level, and parental education [P < 0.001] . In adults Mozzafarian et al  found that an increase in one serve per day of SSB was associated with an increase in body weight by 1lb over 4 years after full adjustment for all other dietary factors. This data was derived from a very large study of nearly 121,000 men and women in the USA who were tracked over a 12-20 year period. The results were very similar across men and younger and older women. Energy intake was not included as a covariate as it could be a direct mediator of the weight gain but as all the more than 20 other dietary factors were added to the regression it would appear that an increase in SSB is not necessarily accompanied by a significant increase in other foods associated with weight gain.
In conclusion the 2007 Children's Survey found there was no cross sectional relationship between overweight and sugar-sweetened beverage consumption although consumption was higher in obese children, lower SES children and children who were in the highest tertile of TV watching; consumers of SSBs consumed more total sugars and total energy than non consumers. Since the last survey in 1995 sugar-sweetened beverage consumption appears to have decreased in some groups and the mean energy contribution from SSBs has dropped by more than 2% of energy while there has been a small increase in the rate of overweight and obesity over this time period.
- Malik VS, Schulze MB, Hu FB: Intake of sugar-sweetened beverages and weight gain: a systematic review. Am J Clin Nutr. 2006, 84: 274-288.Google Scholar
- Vartanian LR, Schwartz MB, Brownell KD: Effects of soft drink consumption on nutrition and health: a systematic review and meta-analysis. Am J Public Health. 2007, 97: 667-675. 10.2105/AJPH.2005.083782.View ArticleGoogle Scholar
- Brownell KD, Farley T, Willett WC, Popkin BM, Chaloupka FJ, Thompson JW, Ludwig DS: The public health and economic benefits of taxing sugar-sweetened beverages. N Engl J Med. 2009, 361: 1599-605. 10.1056/NEJMhpr0905723.View ArticleGoogle Scholar
- Jacobson MF: Liquid Candy: How Soft Drinks are Harming Americans' Health. 2005, CSPI, Washington DC 1998, 2Google Scholar
- Bray GA, Nielsen SJ, Popkin BM: Consumption of high-fructose corn syrup in beverages may play a role in the epidemic of obesity. Am J Clin Nutr. 2004, 76: 537-543.Google Scholar
- Forshee RA, Storey ML, Allison DB, Glinsmann WH, Hein GL, Lineback DR, Miller SA, Nicklas TA, Weaver GA, White JS: A critical examination of the evidence relating high fructose corn syrup and weight gain. Crit Rev Food Sci Nutr. 2007, 47: 561-82. 10.1080/10408390600846457.View ArticleGoogle Scholar
- Gibson S: Sugar-sweetened soft drinks and obesity: a systematic review of the evidence from observational studies and interventions. Nutr Res Rev. 2007, 21: 134-47.View ArticleGoogle Scholar
- National Health Survey. accessed July 2010, [http://www.health.gov.au/internet/healthyactive/publishing.nsf/Content/overweight-obesity]
- Tam CS, Garnett SP, Cowell CT, Campbell K, Cabrera G, Baul LA: Soft drink consumption and excess weight gain in Australian school students: results from the Nepean study. Int J Obes. 2006, 30: 1091-1093. 10.1038/sj.ijo.0803328.View ArticleGoogle Scholar
- Sanigorski AM, Bell AC, Kremer PJ, Swinburn BA: High Childhood Obesity in an Australian Population. Obesity. 2007, 15: 1908-1912. 10.1038/oby.2007.226.View ArticleGoogle Scholar
- Gill TP, Rangan AM, Webb KL: The weight of evidence suggests that soft drinks are a major issue in childhood and adolescent obesity. There is much to be gained by reducing children's intake of soft drinks and little - except excess weight - to be lost. Medical Journal of Australia. 2006, 184: 263-264.Google Scholar
- User Guide 2007 Australian National Children's Nutrition and Physical Activity Survey. Accessed July 2010, [http://www.health.gov.au/internet/main/publishing.nsf/Content/AC3F256C715674D5CA2574D60000237D/$File/user-guide-v2.pdf]
- Ridley K, Olds TS, Hill A: The Multimedia Activity Recall for Children and Adolescents [MARCA]: development and evaluation. Int J Behav Nutr Phys Act. 2006, 3: 10-21. 10.1186/1479-5868-3-10.View ArticleGoogle Scholar
- Cole TJ, Bellizzi MC, Flegal KM, Dietz WH: Establishing a standard definition for child overweight and obesity worldwide: international survey. BMJ. 2000, 320: 1240-3. 10.1136/bmj.320.7244.1240.View ArticleGoogle Scholar
- Cole TJ, Flegal KM, Nicholls D, Jackson AA: Body mass index cut offs to define thinness in children and adolescents: international survey. BMJ. 2007, 335: 194-202. 10.1136/bmj.39238.399444.55.View ArticleGoogle Scholar
- Australian Bureau of Statistics Census. accessed July 2010, [http://www.census.abs.gov.au/ausstats/abs@.nsf/mf/2033.0.55.001/]
- Australian Bureau of Statistics [1998a]. Apparent Consumption of Foodstuffs, Australia [Cat. No. 4306.0]. accessed July 2010, [http://www.abs.gov.au/ausstats/abs@.nsf/mf/4306.0]
- Australian Bureau of Statistics [1998b]. National Nutrition Survey Nutrient Intakes and Physical Measurements Australia 1995. accessed July 2010, [http://www.abs.gov.au/ausstats/abs@.nsf/Lookup/95E87FE64B144FA3CA2568A9001393C0]
- Magarey AM, Daniels LA, Boulton TJ: Prevalence of overweight and obesity in Australian children and adolescents: reassessment of 1985 and 1995 data against new standard international definitions. Med J Aust. 2001, 174: 561-4.Google Scholar
- Vaska VL, Volkmer R: Increasing prevalence of obesity in South Australian 4-year-olds: 1995-2002. Journal of Pediatric Child Health. 2004, 40: 353-5. 10.1111/j.1034-4810.2004.00401.x.View ArticleGoogle Scholar
- Australian Bureau of Statistics. 4364.0 - National Health Survey: Summary of Results, 2007-2008 (Reissue). accessed July 2010, [http://abs.gov.au/AUSSTATS/abs@.nsf/Lookup/4364.0Main+Features12007-2008%20%28Reissue%29?OpenDocument]
- Levy G, Tapsell L: Shifts in purchasing patterns of non-alcoholic, water-based beverages in Australia, 1997-2006. Nutr Diet. 2007, 64: 268-279. 10.1111/j.1747-0080.2007.00223.x.View ArticleGoogle Scholar
- Rangan AM, Randall D, Hector DJ, Gill TP, Webb KL: Consumption of 'extra' foods by Australian children: types, quantities and contribution to energy and nutrient intakes. Eur J Clin Nutr. 2007, 62: 356-364.View ArticleGoogle Scholar
- Booth M, Okely AD, Denney-Wilson E, Hardy LL, Dobbins TA: NSW Schools Physical Activity and Nutrition Survey [SPANS] 2004: Full Report. Sydney, NSW Department of Health. accessed July 2010, [http://www.health.nsw.gov.au/pubs/2006/pdf/spans_report.pdf]
- Scully M, Dixon H, White V, Beckmann K: Dietary, physical activity and sedentary behaviour among Australian secondary students. Health Promot Int. 2007, 22: 236-245. 10.1093/heapro/dam021.View ArticleGoogle Scholar
- Sanigorski AM, Bell AC, Swinburn BA: Association of key foods and beverages with obesity in Australian schoolchildren. Public Health Nutr. 2007, 10: 152-7.View ArticleGoogle Scholar
- Wake M, Hesketh K, Waters E: Television, computer use and body mass index in Australian primary school children. J Paediatr Child Health. 2003, 39: 130-4. 10.1046/j.1440-1754.2003.00104.x.View ArticleGoogle Scholar
- Salmon J, Campbell KJ, Crawford DA: Television viewing habits associated with obesity risk factors: a survey of Melbourne schoolchildren. Med J Aust. 2006, 184: 64-7.Google Scholar
- Malik VS, Popkin BM, Bray GA, Després JP, Willett WC, Hu FB: Sugar-sweetened beverages and risk of metabolic syndrome and type 2 diabetes: a meta-analysis. Diabetes Care. 2010, 33: 2477-83. 10.2337/dc10-1079.View ArticleGoogle Scholar
- Gibson S, Neate D: Sugar intake, soft drink consumption and body weight among British children: further analysis of National Diet and Nutrition Survey data with adjustment for under-reporting and physical activity. Int J Food Sci Nutr. 2007, 58: 445-60. 10.1080/09637480701288363.View ArticleGoogle Scholar
- Harnack L, Stang J, Story M: Soft drink consumption among US children and adolescents: nutritional consequences. J Am Diet Assoc. 1999, 99: 436-441. 10.1016/S0002-8223(99)00106-6.View ArticleGoogle Scholar
- Travis A, Smith , Biing-Hwan Lin, Jonq-Ying Lee: Taxing Caloric Sweetened Beverages Potential Effects on Beverage Consumption, Calorie Intake, and Obesity. accessed July 2010, [http://www.ers.usda.gov/Publications/ERR100/ERR100.pdf]
- Troiano RP, Briefel RR, Carroll MD, Bialostosky K: Energy and fat intakes of children and adolescents in the united states: data from the national health and nutrition examination surveys. Am J Clin Nutr. 2000, 72 (Suppl): 1343S-1353S.Google Scholar
- Wang YC, Bleich SN, Gortmaker SL: Increasing caloric contribution from sugar-sweetened beverages and 100% fruit juices among US children and adolescents, 1988-2004. Pediatrics. 2008, 121: e1604-14. 10.1542/peds.2007-2834.View ArticleGoogle Scholar
- O'Connor TM, Yang SJ, Nicklas TA: Beverage intake among preschool children and its effect on weight status. Pediatrics. 2006, 118: e1010-8. 10.1542/peds.2005-2348.View ArticleGoogle Scholar
- Forshee RA, Anderson PA, Storey ML: Sugar-sweetened beverages and body mass index in children and adolescents: a meta-analysis. Am J Clin Nutr. 2008, 87: 1662-71.Google Scholar
- Malik VS, Willett WC, Hu FB: Sugar-sweetened beverages and BMI in children and adolescents: reanalyses of a meta-analysis. Am J Clin Nutr. 2009, 89: 438-9.View ArticleGoogle Scholar
- Shi L, van Meijgaard J: Substantial decline in sugar-sweetened beverage consumption among California's children and adolescents. Int J Gen Med. 2010, 3: 221-4.View ArticleGoogle Scholar
- Mozaffarian D, Hao T, Rimm EB, Willett WC, Hu FB: Changes in diet and lifestyle and long-term weight gain in women and men. N Engl J Med. 2011, 364: 2392-404. 10.1056/NEJMoa1014296.View ArticleGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.