Self-reported dietary energy intake of normal weight, overweight and obese adolescents

2009 ◽  
Vol 12 (2) ◽  
pp. 222-227 ◽  
Author(s):  
Vivienne A Vance ◽  
Sarah J Woodruff ◽  
Linda J McCargar ◽  
Janice Husted ◽  
Rhona M Hanning
Keyword(s):  
Energy Intake ◽  
Weight Status ◽  
Assessment Tool ◽  
Dietary Assessment ◽  
Total Sample ◽  
Normal Weight ◽  
Dietary Energy ◽  
Web Based ◽  
Dietary Recall ◽  
The Mean

AbstractObjectiveThe purpose of the present paper was to assess dietary energy reporting as a function of sex and weight status among Ontario and Alberta adolescents, using the ratio of energy intake (EI) to estimated BMR (BMRest).DesignData were collected using the FBQ, a validated web-based dietary assessment tool (including a 24 h dietary recall, FFQ, and food and physical activity behavioural questions). BMI was calculated from self-reported height and weight and participants were classified as normal weight, overweight or obese. BMR was calculated using the WHO equations (based on weight). Reporting status was identified using the ratio EI:BMRest.SettingData were collected in public, Catholic and private schools in Ontario and Alberta, Canada.SubjectsA total of 1917 (n876 male andn1041 female) students (n934 grade 9 andn984 grade 10) participated.ResultsThe mean EI:BMRestratio across all participants was 1·4 (sd0·6), providing evidence of under-reporting for the total sample. Females under-reported more than males (t= 6·27,P< 0·001), and under-reporting increased with increasing weight status for both males (F= 33·21,P< 0·001) and females (F= 14·28,P< 0·001). After removing those who reported eating less to lose weight, the EI:BMRestwas 1·56 (sd0·6) for males and 1·4 (sd0·6) for females.ConclusionThe present study highlights methodological challenges associated with self-reported dietary data. Systematic differences in under-reporting of dietary intake by gender and weight status were observed using a web-based survey, similar to observations made using paper-based 24 h recalls and dietitian interviews.

scholarly journals Development and evaluation of the Oxford WebQ, a low-cost, web-based method for assessment of previous 24 h dietary intakes in large-scale prospective studies

2011 ◽  
Vol 14 (11) ◽  
pp. 1998-2005 ◽  
Author(s):  
Bette Liu ◽  
Heather Young ◽  
Francesca L Crowe ◽  
Victoria S Benson ◽  
Elizabeth A Spencer ◽  
...  
Keyword(s):  
Dietary Intake ◽  
Prospective Studies ◽  
Large Scale ◽  
Assessment Tool ◽  
Low Cost ◽  
Dietary Intakes ◽  
Nutrient Intakes ◽  
Web Based ◽  
Dietary Recall ◽  
The Mean

AbstractObjectivesTo describe the development of the Oxford WebQ, a web-based 24 h dietary assessment tool developed for repeated administration in large prospective studies; and to report the preliminary assessment of its performance for estimating nutrient intakes.DesignWe developed the Oxford WebQ by repeated testing until it was sufficiently comprehensive and easy to use. For the latest version, we compared nutrient intakes from volunteers who completed both the Oxford WebQ and an interviewer-administered 24 h dietary recall on the same day.SettingOxford, UK.SubjectsA total of 116 men and women.ResultsThe WebQ took a median of 12·5 (interquartile range: 10·8–16·3) min to self-complete and nutrient intakes were estimated automatically. By contrast, the interviewer-administered 24 h dietary recall took 30 min to complete and 30 min to code. Compared with the 24 h dietary recall, the mean Spearman's correlation for the 21 nutrients obtained from the WebQ was 0·6, with the majority between 0·5 and 0·9. The mean differences in intake were less than ±10 % for all nutrients except for carotene and vitamins B12 and D. On rare occasions a food item was reported in only one assessment method, but this was not more frequent or systematically different between the methods.ConclusionsCompared with an interviewer-based 24 h dietary recall, the WebQ captures similar food items and estimates similar nutrient intakes for a single day's dietary intake. The WebQ is self-administered and nutrients are estimated automatically, providing a low-cost method for measuring dietary intake in large-scale studies.

scholarly journals Use of a Web-Based Dietary Assessment Tool (RiksmatenFlex) in Swedish Adolescents: Comparison and Validation Study (Preprint)

2018 ◽  
Author(s):  
Anna Karin Lindroos ◽  
Jessica Petrelius Sipinen ◽  
Cecilia Axelsson ◽  
Gisela Nyberg ◽  
Rikard Landberg ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
Dietary Intake ◽  
Correlation Coefficient ◽  
Energy Intake ◽  
Assessment Tool ◽  
Dietary Assessment ◽  
Fruit And Vegetables ◽  
Spearman Correlation ◽  
Whole Grain ◽  
Web Based

BACKGROUND A Web-based dietary assessment tool—RiksmatenFlex—was developed for the national dietary survey of adolescents in Sweden. OBJECTIVE This study aimed to describe the Web-based method RiksmatenFlex and to test the validity of the reported dietary intake by comparing dietary intake with 24-hour dietary recalls (recall interviews), estimated energy expenditure, and biomarkers. METHODS Adolescents aged 11-12, 14-15, and 17-18 years were recruited through schools. In total, 78 students had complete dietary information and were included in the study. Diet was reported a few weeks apart with either RiksmatenFlexDiet (the day before and a random later day) or recall interviews (face-to-face, a random day later by phone) in a cross-over, randomized design. At a school visit, weight and height were measured and blood samples were drawn for biomarker analyses. Students wore an accelerometer for 7 days for physical activity measurements. Dietary intake captured by both dietary methods was compared, and energy intake captured by both methods was compared with the accelerometer-estimated energy expenditure (EEest). Intake of whole grain wheat and rye and fruit and vegetables by both methods was compared with alkylresorcinol and carotenoid concentrations in plasma, respectively. RESULTS The mean of the reported energy intake was 8.92 (SD 2.77) MJ by RiksmatenFlexDiet and 8.04 (SD 2.67) MJ by the recall interviews (<italic>P</italic>=.01). Intake of fruit and vegetables was 224 (169) g and 227 (150) g, and whole grain wheat and rye intake was 12.4 (SD 13.2) g and 12.0 (SD 13.1) g, respectively; the intakes of fruit and vegetables as well as whole grain wheat and rye did not differ between methods. Intraclass correlation coefficients ranged from 0.57 for protein and carbohydrates to 0.23 for vegetables. Energy intake by RiksmatenFlexDiet was overreported by 8% (<italic>P</italic>=.03) but not by the recall interviews (<italic>P</italic>=.53) compared with EEest. The Spearman correlation coefficient between reported energy intake and EEest was 0.34 (<italic>P</italic>=.008) for RiksmatenFlexDiet and 0.16 (<italic>P</italic>=.21) for the recall interviews. Spearman correlation coefficient between whole grain wheat and rye and plasma total alkylresorcinol homologs was 0.36 (<italic>P</italic>=.002) for RiksmatenFlexDiet and 0.29 (<italic>P</italic>=.02) for the recall interviews. Spearman correlations between intake of fruit and vegetables and plasma carotenoids were weak for both dietary tools. The strongest correlations were observed between fruit and vegetable intake and lutein/zeaxanthin for RiksmatenFlexDiet (0.46; <italic>P</italic>&lt;.001) and for recall interviews (0.28; <italic>P</italic>=.02). CONCLUSIONS RiksmatenFlexDiet provides information on energy, fruit, vegetables, and whole grain wheat and rye intake, which is comparable with intake obtained from recall interviews in Swedish adolescents. The results are promising for cost-effective dietary data collection in upcoming national dietary surveys and other studies in Sweden. Future research should focus on how, and if, new technological solutions could reduce dietary reporting biases.

scholarly journals Assessing the Usability of the Automated Self-Administered Dietary Assessment Tool (ASA24) among Low-Income Adults

Nutrients ◽  
2019 ◽  
Vol 11 (1) ◽  
pp. 132 ◽  
Author(s):  
Julia Kupis ◽  
Sydney Johnson ◽  
Gregory Hallihan ◽  
Dana Olstad
Keyword(s):  
Dietary Intake ◽  
Low Income ◽  
Assessment Tool ◽  
Dietary Assessment ◽  
Success Rates ◽  
Web Based ◽  
Dietary Recall ◽  
Usability Issue ◽  
Survey Responses

The Automated Self-Administered Dietary Assessment Tool (ASA24) is a web-based tool that guides participants through completion of a 24-h dietary recall and automatically codes the data. Despite the advantages of automation, eliminating interviewer contact may diminish data quality. Usability testing can assess the extent to which individuals can use the ASA24 to report dietary intake with efficiency, effectiveness, and satisfaction. This mixed-methods study evaluated the usability of the ASA24 to quantify user performance and to examine qualitatively usability issues in a sample of low-income adults (85% female, 48.2 years on average) participating in a nutrition coupon program. Thirty-nine participants completed a 24-h dietary recall using the ASA24. Audio and screen recordings, and survey responses were analyzed to calculate task times, success rates, and usability issue frequency. Qualitative data were analyzed thematically to characterize usability issues. Only one participant was able to complete a dietary recall unassisted. We identified 286 usability issues within 22 general usability categories, including difficulties using the search function, misunderstanding questions, and uncertainty regarding how to proceed to the next step; 71.4% of participants knowingly misentered dietary information at least once. Usability issues may diminish participation rates and compromise the quality of ASA24 dietary intake data. Researchers should provide on-demand technical support and designers should improve the intelligence and flexibility of the ASA24’s search functionality.

scholarly journals Use of a Web-Based Dietary Assessment Tool (RiksmatenFlex) in Swedish Adolescents: Comparison and Validation Study

10.2196/12572 ◽  
2019 ◽  
Vol 21 (10) ◽  
pp. e12572 ◽  
Author(s):  
Anna Karin Lindroos ◽  
Jessica Petrelius Sipinen ◽  
Cecilia Axelsson ◽  
Gisela Nyberg ◽  
Rikard Landberg ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
Dietary Intake ◽  
Correlation Coefficient ◽  
Energy Intake ◽  
Assessment Tool ◽  
Dietary Assessment ◽  
Fruit And Vegetables ◽  
Spearman Correlation ◽  
Whole Grain ◽  
Web Based

Background A Web-based dietary assessment tool—RiksmatenFlex—was developed for the national dietary survey of adolescents in Sweden. Objective This study aimed to describe the Web-based method RiksmatenFlex and to test the validity of the reported dietary intake by comparing dietary intake with 24-hour dietary recalls (recall interviews), estimated energy expenditure, and biomarkers. Methods Adolescents aged 11-12, 14-15, and 17-18 years were recruited through schools. In total, 78 students had complete dietary information and were included in the study. Diet was reported a few weeks apart with either RiksmatenFlexDiet (the day before and a random later day) or recall interviews (face-to-face, a random day later by phone) in a cross-over, randomized design. At a school visit, weight and height were measured and blood samples were drawn for biomarker analyses. Students wore an accelerometer for 7 days for physical activity measurements. Dietary intake captured by both dietary methods was compared, and energy intake captured by both methods was compared with the accelerometer-estimated energy expenditure (EEest). Intake of whole grain wheat and rye and fruit and vegetables by both methods was compared with alkylresorcinol and carotenoid concentrations in plasma, respectively. Results The mean of the reported energy intake was 8.92 (SD 2.77) MJ by RiksmatenFlexDiet and 8.04 (SD 2.67) MJ by the recall interviews (P=.01). Intake of fruit and vegetables was 224 (169) g and 227 (150) g, and whole grain wheat and rye intake was 12.4 (SD 13.2) g and 12.0 (SD 13.1) g, respectively; the intakes of fruit and vegetables as well as whole grain wheat and rye did not differ between methods. Intraclass correlation coefficients ranged from 0.57 for protein and carbohydrates to 0.23 for vegetables. Energy intake by RiksmatenFlexDiet was overreported by 8% (P=.03) but not by the recall interviews (P=.53) compared with EEest. The Spearman correlation coefficient between reported energy intake and EEest was 0.34 (P=.008) for RiksmatenFlexDiet and 0.16 (P=.21) for the recall interviews. Spearman correlation coefficient between whole grain wheat and rye and plasma total alkylresorcinol homologs was 0.36 (P=.002) for RiksmatenFlexDiet and 0.29 (P=.02) for the recall interviews. Spearman correlations between intake of fruit and vegetables and plasma carotenoids were weak for both dietary tools. The strongest correlations were observed between fruit and vegetable intake and lutein/zeaxanthin for RiksmatenFlexDiet (0.46; P<.001) and for recall interviews (0.28; P=.02). Conclusions RiksmatenFlexDiet provides information on energy, fruit, vegetables, and whole grain wheat and rye intake, which is comparable with intake obtained from recall interviews in Swedish adolescents. The results are promising for cost-effective dietary data collection in upcoming national dietary surveys and other studies in Sweden. Future research should focus on how, and if, new technological solutions could reduce dietary reporting biases.

A comparison of the Remote Food Photography Method and the Automated Self-Administered 24-hour Dietary Assessment Tool for measuring full day dietary intake among school-aged children

2021 ◽  
pp. 1-26
Author(s):  
Traci A. Bekelman ◽  
Corby K. Martin ◽  
Susan L. Johnson ◽  
Deborah H. Glueck ◽  
Katherine A. Sauder ◽  
...  
Keyword(s):  
Dietary Intake ◽  
Energy Intake ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Assessment Tool ◽  
Dietary Assessment ◽  
Ease Of Use ◽  
Self Report ◽  
Food Photography ◽  
Photography Method

Abstract The limitations of self-report measures of dietary intake are well known. Novel, technology-based measures of dietary intake may provide a more accurate, less burdensome alternative to existing tools. The first objective of this study was to compare participant burden for two technology-based measures of dietary intake among school-age children: the Automated-Self Administered 24-hour Dietary Assessment Tool-2018 (ASA24-2018) and the Remote Food Photography Method (RFPM). The second objective was to compare reported energy intake for each method to the Estimated Energy Requirement for each child, as a benchmark for actual intake. Forty parent-child dyads participated in 2, 3-day dietary assessments: a parent proxy-reported version of the ASA24 and the RFPM. A parent survey was subsequently administered to compare satisfaction, ease of use and burden with each method. A linear mixed model examined differences in total daily energy intake (TDEI) between assessments, and between each assessment method and the EER. Reported energy intake was 379 kcal higher with the ASA24 than the RFPM (p=0.0002). Reported energy intake with the ASA24 was 231 kcal higher than the EER (p = 0.008). Reported energy intake with the RFPM did not differ significantly from the EER (difference in predicted means = −148 kcal, p = 0.09). Median satisfaction and ease of use scores were 5 out of 6 for both methods. A higher proportion of parents reported that the ASA24 was more time consuming than the RFPM (74.4% vs. 25.6%, p = 0.002). Utilization of both methods is warranted given their high satisfaction among parents.

scholarly journals Associations of the pre-pregnancy weight status with anemia and the erythropoiesis-related micronutrient status

2021 ◽  
pp. 1-31
Author(s):  
Noor Rohmah Mayasari ◽  
Tzu-Yu Hu ◽  
Jane C-J Chao ◽  
Chyi-Huey Bai ◽  
Yi Chun Chen ◽  
...  
Keyword(s):  
Pregnant Women ◽  
Weight Status ◽  
Vitamin B12 Deficiency ◽  
Population Level ◽  
Normal Weight ◽  
Nutritional Deficiencies ◽  
Deficiency Anemia ◽  
Dietary Analysis ◽  
Dietary Recall ◽  
Pregnancy Weight

Abstract Objective: The coexistence of underweight (UW) and overweight (OW)/obese (OB) at the population level is known to affect iron-deficiency anemia (IDA), but how the weight status affects erythropoiesis during pregnancy is less clear at a population scale. This study investigated associations between the pre-pregnancy body mass index (pBMI) and erythropoiesis-related nutritional deficiencies. Design: Anthropometry, blood biochemistry, and 24-h dietary recall data were collected during prenatal care visits. The weight status was defined based on the pBMI. Mild nutrition deficiency-related erythropoiesis was defined if individuals had an ID, folate depletion, or a vitamin B12 deficiency. Setting: The Nationwide Nutrition and Health Survey in Taiwan (Pregnant NAHSIT 2017-2019). Participants: We included 1456 women aged 20 to 45 years with singleton pregnancies. Results: Among these pregnant women, 9.6% were UW, and 29.2% were either OW (15.8%) or OB (13.4%). A U-shaped association between the pBMI and IDA was observed, with decreased odds (OR; 95% CI) for OW subjects (0.6; 0.4˜0.9) but increased odds for UW (1.2; 0.8˜2.0) and OB subjects (1.2; 0.8˜1.8). The pBMI was positively correlated with the prevalence of a mild nutritional deficiency. Compared to normal weight (NW), OB pregnant women had 3.4-fold (3.4; 1.4˜8.1) higher odds for multiple mild nutritional deficiencies, while UW individuals had lowest odds (0.3; 0.1-1.2). A dietary analysis showed negative relationships of pBMI with energy, carbohydrates, protein, iron, and folate intakes, but positive relationship with fat intakes. Conclusion: The pre-pregnancy weight status can possibly serve as a good nutritional screening tool for preventing IDA during pregnancy.

scholarly journals Comparison of a web-based food record tool and a food-frequency questionnaire and objective validation using the doubly labelled water technique in a Swedish middle-aged population

2016 ◽  
Vol 5 ◽  
Author(s):  
Sanna Nybacka ◽  
Heléne Bertéus Forslund ◽  
Elisabet Wirfält ◽  
Ingrid Larsson ◽  
Ulrika Ericson ◽  
...  
Keyword(s):  
Energy Intake ◽  
Large Scale ◽  
Dietary Assessment ◽  
Assessment Tools ◽  
Future Research ◽  
Food Record ◽  
Frequency Method ◽  
Doubly Labelled Water ◽  
Web Based ◽  
Food Frequency

AbstractTwo web-based dietary assessment tools have been developed for use in large-scale studies: the Riksmaten method (4-d food record) and MiniMeal-Q (food-frequency method). The aim of the present study was to examine the ability of these methods to capture energy intake against objectively measured total energy expenditure (TEE) with the doubly labelled water technique (TEEDLW), and to compare reported energy and macronutrient intake. This study was conducted within the pilot study of the Swedish CArdioPulmonary bioImage Study (SCAPIS), which included 1111 randomly selected men and women aged 50–64 years from the Gothenburg general population. Of these, 200 were enrolled in the SCAPIS diet substudy. TEEDLW was measured in a subsample (n 40). Compared with TEEDLW, both methods underestimated energy intake: −2·5 (sd  2·9) MJ with the Riksmaten method; −2·3 (sd 3·6) MJ with MiniMeal-Q. Mean reporting accuracy was 80 and 82 %, respectively. The correlation between reported energy intake and TEEDLW was r 0·4 for the Riksmaten method (P < 0·05) and r 0·28 (non-significant) for MiniMeal-Q. Women reported similar average intake of energy and macronutrients in both methods whereas men reported higher intakes with the Riksmaten method. Energy-adjusted correlations ranged from 0·14 (polyunsaturated fat) to 0·77 (alcohol). Bland–Altman plots showed acceptable agreement for energy and energy-adjusted protein and carbohydrate intake, whereas the agreement for fat intake was poorer. According to energy intake data, both methods displayed similar precision on energy intake reporting. However, MiniMeal-Q was less successful in ranking individuals than the Riksmaten method. The development of methods to achieve limited under-reporting is a major challenge for future research.

scholarly journals Effect of Manual Data Cleaning on Nutrient Intakes using the Automated Self-Administered 24-Hour Dietary Assessment Tool (ASA24)

2021 ◽  
Author(s):  
Yasmine Y Bouzid ◽  
Joanne E Arsenault ◽  
Ellen L Bonnel ◽  
Eduardo Cervantes ◽  
Annie Kan ◽  
...  
Keyword(s):  
Energy Intake ◽  
Assessment Tool ◽  
Data Cleaning ◽  
Dietary Assessment ◽  
Assessment Tools ◽  
Energy Requirements ◽  
Nutrient Intakes ◽  
Significant Difference ◽  
Before And After ◽  
Total Fat

Abstract Background Automated dietary assessment tools such as ASA24® are useful for collecting 24-hour recall data in large-scale studies. Modifications made during manual data cleaning may affect nutrient intakes. Objectives We evaluated the effects of modifications made during manual data cleaning on nutrients intakes of interest: energy, carbohydrate, total fat, protein, and fiber. Methods Differences in mean intake before and after data cleaning modifications for all recalls and average intakes per subject were analyzed by paired t-tests. Chi-squared test was used to determine whether unsupervised recalls had more open-ended text responses that required modification than supervised recalls. We characterized food types of text response modifications. Correlations between predictive energy requirements, measured total energy expenditure (TEE), and mean energy intake from raw and modified data were examined. Results After excluding 11 recalls with invalidating technical errors, 1499 valid recalls completed by 393 subjects were included in this analysis. We found significant differences before and after modifications for energy, carbohydrate, total fat, and protein intakes for all recalls (p &lt; 0.05). Limiting to modified recalls, there were significant differences for all nutrients of interest, including fiber (p &lt; 0.02). There was not a significantly greater proportion of text responses requiring modification for home compared to supervised recalls (p = 0.271). Predicted energy requirements correlated highly with TEE. There was no significant difference in correlation of mean energy intake with TEE for modified compared to raw data. Mean intake for individual subjects was significantly different for energy, protein, and fat intakes following cleaning modifications (p &lt; 0.001). Conclusions Manual modifications can change mean nutrient intakes for an entire cohort and individuals. However, modifications did not significantly affect correlation of energy intake with predictive requirements and measured expenditure. Investigators can consider their research question and nutrients of interest when deciding to make cleaning modifications.

Statistical Evaluation of Total Energy Intake Based on the Number of Food Portions and Body Weight

2021 ◽  
Vol 6 (2) ◽  
Author(s):  
Rousset S ◽  
◽  
Médard S ◽  
Fleury G ◽  
Fardet A ◽  
...  
Keyword(s):  
Body Weight ◽  
Energy Expenditure ◽  
Total Energy ◽  
Energy Intake ◽  
Test Sample ◽  
Normal Weight ◽  
Total Energy Intake ◽  
Validation Dataset ◽  
Linear Regression Models ◽  
The Mean

The evaluation of food intake based on various assessment methods is critical and underreporting is frequent. The aim of the study was to develop an indirect statistical method of the total energy intake estimation based on gender, weight and the number of portions. Energy intake prediction was developed and evaluated for validity using energy expenditure measurements given by the WellBeNet app. A total of 190 volunteers with various BMIs were recruited and assigned either in the train or the test sample. The mean energy provided by a portion was evaluated by linear regression models from the train sample. The absolute values of the error between the energy intake estimation and the energy expenditure measurement were calculated for each volunteer, by subgroup and for the whole group. The performance of the models was determined using the validation dataset. As the number of portions is the only variable used in the model, the error was 30.7% and 26.5% in the train and test sample. After adding body weight in the model, the error in absolute value decreased to 8.8% and 10.8% for the normal-weight women and men, and 11.7% and 12.8% for the overweight female and male volunteers, respectively. The findings of this study indicate that a statistical approach and knowledge of the usual number of portions and body weight is effective and sufficient to obtain a precise evaluation of energy intake (about 10% of error) after a simple and brief enquiry.

scholarly journals Sugar-sweetened beverage consumption and association with weight status in Irish children: a cross-sectional study prior to the introduction of a government tax on sugar-sweetened beverages

2020 ◽  
Vol 23 (12) ◽  
pp. 2234-2244
Author(s):  
Janas M Harrington ◽  
Catherine Perry ◽  
Eimear Keane ◽  
Ivan J Perry
Keyword(s):  
Energy Intake ◽  
Weight Status ◽  
Cross Sectional Study ◽  
Normal Weight ◽  
Sectional Study ◽  
Daily Energy Intake ◽  
Cross Sectional ◽  
Sugar Sweetened Beverage ◽  
Sweetened Beverage ◽  
Daily Energy

AbstractObjective:To provide baseline evidence of sugar-sweetened beverage (SSB) consumption in a sample of Irish children prior to the introduction of the SSB tax; to identify the energy contribution of SSB to daily energy intake; and to explore the association between SSB consumption and overweight/obesity.Design:Cross-sectional study.Setting:Primary schools in Cork, Ireland in 2012.Participants:1075 boys and girls aged 8–11 years. SSB consumption was assessed from 3-d food diaries. BMI was used to define obesity (International Obesity Taskforce definitions). Plausible energy reporters (n 724, 68 % of total sample) were classified using Schofield equation.Results:Eighty-two per cent of children with plausible energy intake consumed SSB. Mean energy intake from SSB was 485 kJ (6 % of total kJ). Mean kilojoules from SSB increased with weight status from 443 kJ for normal-weight children to 648 kJ for children with overweight/obesity (5·8 and 7·6 % of total kJ, respectively). Mean SSB intake was significantly higher in children with overweight/obesity than normal-weight children (383 and 315 ml/d). In adjusted analyses, children consuming >200 ml/d had an 80 % increased odds of overweight/obesity compared to those consuming <200 ml/d (OR 1·8, 95 % CI 1·0, 3·5). Family socioeconomic status and lifestyle determinants, including frequency of takeaway consumption and TV viewing, were also significantly associated with SSB consumption.Conclusions:SSB account for a substantial proportion of daily energy intake and are significantly associated with child overweight/obesity. This study provides baseline data from a sample of children from which the impact of the SSB tax can be benchmarked.

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