scholarly journals Modelling the Effects of Beverage Substitution during Adolescence on Later Obesity Outcomes in Early Adulthood: Results from the Raine Study

Nutrients ◽  
2019 ◽  
Vol 11 (12) ◽  
pp. 2928
Author(s):  
Miaobing Zheng ◽  
Anna Rangan ◽  
Rae-Chi Huang ◽  
Lawrence Joseph Beilin ◽  
Trevor Anthony Mori ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Waist Circumference ◽  
Fruit Juice ◽  
Early Adulthood ◽  
Raine Study ◽  
Sugar Sweetened Beverage ◽  
Overweight Status ◽  
Sweetened Beverage ◽  
Diet Drinks ◽  
Western Australian

High sugar-sweetened beverage (SSB) consumption has been linked with obesity. The present study examined the associations between adolescent SSB intake and body mass index (BMI), waist circumference (WC), and overweight status in early adulthood, and modelled the association of alternative beverage substitution with BMI and WC. Data of offspring from the Western Australian Pregnancy Cohort (Raine) Study at ages 14 and 22 years were used (n = 667). SSB intake at 14 years (100 g/day) was associated with higher BMI (β = 0.19 kg/m2, 95% CI 0.04, 0.33), WC (β = 0.41cm, 95% CI 0.04, 0.78), and being overweight at 22 years (OR 1.10, 95% CI 1.02, 1.18). Every 100g modelled substitution of SSB with milk at age 14 years was associated with lower BMI (−0.19 kg/m2) and WC (−0.52 cm) at age 22 years. Replacement of SSB with diet drink was associated with higher BMI and WC. No association was found for substitutions of SSB with water, tea/coffee, or 100% fruit juice with BMI or WC. SSB intake during adolescence was associated with higher BMI, WC, and being overweight in early adulthood. Milk as an alternative to SSB was associated with less adiposity. Caution is necessary in recommending diet drinks as a SSB alternative.

Body Mass Index and Waist Circumference and the Associations with Sugar Sweetened Beverage Consumption in Children 0 to 6 Years Old

2015 ◽  
Vol 39 ◽  
pp. S40
Author(s):  
Sarah E. Carsley ◽  
Laura N. Anderson ◽  
Patricia C. Parkin ◽  
Jonathon Maguire ◽  
Catherine S. Birken
Keyword(s):  
Body Mass Index ◽  
Waist Circumference ◽  
Body Mass ◽  
Sugar Sweetened Beverage ◽  
Beverage Consumption ◽  
Sweetened Beverage

scholarly journals Association of Sugar-Sweetened Beverage Frequency with Adiposity: Evidence from the “Children of 1997” Birth Cohort

Nutrients ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 1015
Author(s):  
Ting Zhang ◽  
Shiu Lun Au Yeung ◽  
Man Ki Kwok ◽  
Lai Ling Hui ◽  
Gabriel Matthew Leung ◽  
...  
Keyword(s):  
Waist Circumference ◽  
Birth Cohort ◽  
Body Fat ◽  
Body Fat Percentage ◽  
Z Score ◽  
Fat Percentage ◽  
Sugar Sweetened Beverage ◽  
Waist To Hip Ratio ◽  
Sweetened Beverage ◽  
Consumption Frequency

Background: Observationally, sugar-sweetened beverage (SSB) consumption is associated with adiposity in Western children but could be confounded. We examined the association of SSB frequency with adiposity in the non-Western setting of Hong Kong. Methods: We examined the associations of SSB consumption frequency at 11 and 13 years assessed by using a food frequency questionnaire with subsequent body mass index (BMI) z-score and overweight/obesity up to 18 years using generalized estimating equations, and with waist circumference, waist-to-hip ratio, and body fat percentage at 16–19 years using linear regression in a population-representative Chinese birth cohort “Children of 1997” (n = 3628). Results: At 11 and 13 years, 6.8% and 8.2% of children respectively consumed SSB daily. Neither SSB frequency at 11 nor at 13 years was associated with subsequent BMI z-score or overweight/obesity up to 18 years, or with waist circumference, waist-to-hip ratio, or body fat percentage at 16–19 years adjusted for age, sex, socioeconomic position, health status, physical activity and other food consumption, although bias to the null from under-reporting cannot be eliminated. Conclusion: Although we cannot definitively exclude a small association of SSB frequency with adiposity, lack of association of SSB frequency with adiposity in a non-Western setting with low SSB consumption suggests that the role of SSB in adiposity appears to be minor.

scholarly journals Impacts of a sugar sweetened beverage tax on body mass index and obesity in Thailand: A modelling study

PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0250841
Author(s):  
Payao Phonsuk ◽  
Vuthiphan Vongmongkol ◽  
Suladda Ponguttha ◽  
Rapeepong Suphanchaimat ◽  
Nipa Rojroongwasinkul ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Energy Intake ◽  
Body Mass ◽  
Price Elasticity ◽  
Tax Rates ◽  
Obesity Prevalence ◽  
Sugar Sweetened Beverage ◽  
Tax Rate ◽  
Excise Tax ◽  
Sweetened Beverage

BackgroundThe World Health Organization (WHO) recommends sugar-sweetened beverage (SSB) taxes to address obesity. Thailand has just launched the new tax rates for SSB in 2017; however, the existing tax rate is not as high as the 20% recommended by the WHO. The objective for this study was to estimate the impacts of an SSB tax on body mass index (BMI) and obesity prevalence in Thailand under three different scenarios based on existing SSB and recommended tax rates.MethodsA base model was built to estimate the impacts of an SSB tax on SSB consumption, energy intake, BMI, and obesity prevalence. Literature review was conducted to estimate pass on rate, price elasticity, energy compensation, and energy balance to weight change. Different tax rates (11%, 20% and 25%) were used in the model. The model assumed no substitution effects, model values were based on international data since there was no empirical Thai data available. Differential effects by income groups were not estimated.FindingsWhen applying 11%, 20%, and 25% tax rates together with 100% pass on rate and an -1.30 own-price elasticity, the SSB consumption decreased by 14%, 26%, and 32%, respectively. The 20% and 25% price increase in SSB price tended to reduce higher energy intake, weight status and BMI, when compared with an 11% increase in existing price increase of SSB. The percentage changes of obesity prevalence of 11%, 20% and 25% SSB tax rates were estimated to be 1.73%, 3.83%, and 4.91%, respectively.ConclusionsA higher SSB tax (20% and 25%) was estimated to reduce consumption and consequently decrease obesity prevalence. Since Thailand has already endorsed the excise tax structure, the new excise tax structure for SSB should be scaled up to a 20% or 25% tax rate if the SSB consumption change does not meet a favourable goal.

scholarly journals Review of 100% Fruit Juice and Chronic Health Conditions: Implications for Sugar-Sweetened Beverage Policy

2018 ◽  
Vol 9 (2) ◽  
pp. 78-85 ◽  
Author(s):  
Brandon J Auerbach ◽  
Sepideh Dibey ◽  
Petra Vallila-Buchman ◽  
Mario Kratz ◽  
James Krieger
Keyword(s):  
Fruit Juice ◽  
Chronic Health Conditions ◽  
Health Conditions ◽  
Chronic Health ◽  
Sugar Sweetened Beverage ◽  
Sweetened Beverage

Sugar-sweetened beverage consumption is associated with higher body mass index among Marshallese adults in Arkansas

2021 ◽  
pp. 1-14
Author(s):  
Pearl A. McElfish ◽  
Brett Rowland ◽  
Aaron J. Scott ◽  
Jill Niemeier ◽  
Dalton V. Hoose ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Sugar Sweetened Beverage ◽  
Beverage Consumption ◽  
Sweetened Beverage

scholarly journals Changes in Sugar Sweetened Beverage Intake Related to Changes in Body Composition in Mexican Adolescents

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 1029-1029
Author(s):  
Lindsey English ◽  
Karen Peterson ◽  
Erica Jansen ◽  
Yanelli Rodríguez-Carmona ◽  
Martha Maria Téllez-Rojo ◽  
...  
Keyword(s):  
Body Composition ◽  
Waist Circumference ◽  
Body Fat ◽  
Birth Cohort Study ◽  
Linear Regression Models ◽  
Fat Percentage ◽  
Nutrition Survey ◽  
Sugar Sweetened Beverage ◽  
Sweetened Beverage ◽  
Mexican Adolescents

Abstract Objectives To examine the relationship between changes in sugar sweetened beverage (SSB) intake and changes in adiposity over a two-year period during adolescence in a Mexico City cohort. Methods The analytic sample comprised 511 Mexican adolescents enrolled in a birth cohort study with complete information on sugar sweetened beverage intake and body composition for two time points. In 2015 and 2017, a food frequency questionnaire (FFQ) from the 2006 Mexican National Health and Nutrition Survey was administered to participants ages 9 to 20. Seven variables from the FFQ were summed to use as daily servings of SSBs as a predictor: regular soda, coffee with sugar, tea with sugar, sweetened fruit water, chocolate milk, corn atole, and Yakult (sweetened probiotic milk beverage). Adiposity measurements included body mass index (BMI), body fat % estimated by bioelectrical impedance, and waist circumference, measured by trained research assistants using standard techniques. We used linear regression models with changes in adiposity measures as the continuous outcome and quartiles of change in sugar sweetened beverage intake as the predictor adjusting for age, sex, household socioeconomic status, screen time, and physical activity. Results At baseline (2015), mean age was 14.5 ± 2.1 years with 48% male. The median intake of SSBs was 341 mL/day (IQR = 463 mL) for males and 257 mL/day (IQR = 391 mL) for females. The median SSB intake change over the 2-year period was a 51 mL decrease (IQR = 441 mL) for males and no change (IQR = 360 mL) for females. In adjusted analyses, adolescents with the highest change in SSB intake (Quartile 4,274.3 mL median (IQR = 297.1) increase in SSB intake) had a 0.30 increase kg/m2 in BMI (95% CI −0.15, 0.75), a 1.14% increase in body fat (95% CI −0.02, 2.31), and a 1.64 cm increase in waist circumference (95% CI 0.27, 3.00), compared to those with decreases or no change in SSB intake. Conclusions Increased intake of sugar sweetened beverages was associated with higher changes in body fat percentage, waist circumference, and BMI over a two-year period among Mexican adolescents. Funding Sources This project was supported by a P01 research grant through the NIH/NIEHS.

scholarly journals Detecting overlapping spatial clusters of high sugar-sweetened beverage intake and high body mass index in a general population: a cross-sectional study

2018 ◽  
Author(s):  
Stéphane Joost ◽  
David De Ridder ◽  
Pedro Marques-Vidal ◽  
Beatrice Bacchilega ◽  
Jean-Marc Theler ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Spatial Dependence ◽  
The State ◽  
List Type ◽  
Median Income ◽  
Cross Sectional ◽  
Sugar Sweetened Beverage ◽  
Sweetened Beverage ◽  
Sweetened Beverages

AbstractObjectiveTo identify populations and areas presenting higher consumption of sugar-sweetened beverages (SSB) and their overlap with populations and areas presenting higher body mass index (BMI).DesignCross-sectional population-based study.SettingState of Geneva, Switzerland.Participants15,767 non-institutionalized residents aged between 35 and 74 years (20 and 74 since 2011) of the state of Geneva, Switzerland.Main outcome measuresSpatial indices of sugar-sweetened beverage intake frequency and body mass index. Median regression analysis was used to control for characteristics of patients.ResultsThe SSB intake frequency and the BMI were not randomly distributed across the state. Among the 15,423 participants retained for the analyses, 2,034 (13.2%) were within clusters of high SSB intake frequency and 1,651 (10.7%) was within clusters of low SSB intake frequency, 11,738 (76.1%) showed no spatial dependence. We also identified clusters of BMI, 4,014 (26.0%) participants were within clusters of high BMI and 3,591 (23.3%) were within clusters of low BMI, 7,818 (50.7%) showed no spatial dependence. We found that clusters of SSB intake frequency and BMI overlap in specific areas. 1,719 (11.1%) participants were within high SSB intake frequency and high BMI clusters. After adjustment for covariates (education level, gender, age, nationality, and the median income of the area), the identified clusters persisted and were only slightly attenuated.ConclusionA fine-scale spatial approach allows identifying specific populations and areas presenting higher SSB consumption and, for some areas, higher SSB consumption associated with higher BMI. These findings could guide legislators to develop targeted interventions such as prevention campaigns and pave the way for precision public health.What is already known on this topicThe consumption of sugar-sweetened beverages (SSBs) is an important contributory factor of obesity and obesity-related diseases.SSB consumption varies according to socioeconomic status, which could explain the higher prevalence of obesity in specific areas.SSB taxation faces resistance in many countries due to its potential regressive nature.What this study addsThe spatial analysis of individual-level SSB consumption in the state of Geneva provides a clear identification of populations and areas presenting higher SSB consumption and, for some areas, higher SSB consumption along with higher body mass index (BMI).The results demonstrate the persistence of SSB clustering in the geographic space after adjusting for education level, gender, nationality, age, and neighborhood-level median income.The findings provide guidance for future public health interventions to reduce SSB consumption by better targeting vulnerable populations.

Abstract 009: Plain Water and Total Beverage Intakes and Risk of Type 2 Diabetes in Young and Middle-aged Women

Circulation ◽  
2012 ◽  
Vol 125 (suppl_10) ◽  
Author(s):  
An Pan ◽  
Vasanti Malik ◽  
Walter C Willett ◽  
Frank B Hu
Keyword(s):  
Type 2 Diabetes ◽  
Confidence Intervals ◽  
Lower Risk ◽  
Fruit Juice ◽  
Reference Group ◽  
Plain Water ◽  
Sugar Sweetened Beverage ◽  
Sweetened Beverage ◽  
Relative Risks

Introduction: Some caloric beverages (e.g., sugar-sweetened beverage and fruit juice) have been associated with an elevated risk of type 2 diabetes; therefore, substitution of these caloric beverages with non-caloric beverages such as plain water may be important for diabetes prevention. Few previous studies have examined the association between plain water or total beverage intake and risk of type 2 diabetes. Methods: We followed 82,900 women, aged 27-45 years and free of diabetes, cardiovascular disease and cancer at baseline, from 1991 to 2007. Diet, including various beverages, was assessed by food frequency questionnaires and updated every four years. Incident type 2 diabetes cases were confirmed by supplementary questionnaires. Cox proportional hazard models were used to calculate relative risks (RRs) and corresponding 95% confidence intervals (CIs), and we estimated the effect of “substituting” a serving of one beverage for another by including both as continuous variables in the same multivariable model. The difference in their beta coefficients and their variances and covariance were used to estimate the RR and 95% CI for the substitution effect. Results: During 1,294,196 person-years of follow-up, we documented 2,980 incident T2DM cases. After adjustment for age and body mass index, compared with the reference group (<1 glass/d), the relative risks (RRs) and 95% confidence intervals (CIs) of type 2 diabetes according to categories of plain water consumption were 0.91 (0.81-1.02) for 1 glass/d, 0.91 (0.82-1.01) for 2-3 glasses/d, 0.98 (0.87-1.11) for 4-5 glasses/d, and 1.02 (0.89-1.18) for 6 or more glasses/d (P-for-trend=0.51). Further adjustment for other diabetes risk factors did not substantially alter the RRs. We estimated that substituting one serving/d of plain water for one serving/d of sugar-sweetened beverage or fruit juice was associated with a 10% (95% CI, 6%-13%) and 13% (95% CI, 7%-18%) lower risk of type 2 diabetes, respectively. In this cohort, no association was found for total beverage intake and risk of type 2 diabetes: compared with women who drank less than 6 servings/d of total beverage, the RRs (95% CIs) were 0.97 (0.87-1.09), 0.98 (0.88-1.10), 1.01 (0.89-11.5), and 0.99 (0.86-1.14) for women drank 6-8, 8-10, 10-12, and ≥12 servings/d of total beverages (P-for-trend=0.83). Conclusions: Increasing consumption of water per se was not associated with risk of type 2 diabetes, but substituting plain water for sugar-sweetened beverage or fruit juice was associated with a significantly lower risk of type 2 diabetes.

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