scholarly journals Description of Child and Adolescent Beverage and Anthropometric Measures According to Adolescent Beverage Patterns

Nutrients ◽  
2018 ◽  
Vol 10 (8) ◽  
pp. 958
Author(s):  
Teresa Marshall ◽  
Alexandra Curtis ◽  
Joseph Cavanaugh ◽  
John VanBuren ◽  
John Warren ◽  
...  
Keyword(s):  
Body Mass ◽  
Mixed Models ◽  
Generalized Linear Mixed Models ◽  
Growth Patterns ◽  
Neutral Cluster ◽  
Anthropometric Measures ◽  
Sugar Sweetened Beverage ◽  
Sweetened Beverage ◽  
Explanatory Factors ◽  
Study Participants

Our objective is to retrospectively describe longitudinal beverage intakes and anthropometric measures according to adolescent beverage patterns. Data were collected from Iowa Fluoride Study participants (n = 369) using beverage questionnaires at ages 2–17 years. Weight and height were measured at ages 5, 9, 13 and 17 years. Cluster analyses were used to identify age 13- to 17-year beverage patterns. Treating age and beverage cluster as explanatory factors, sex-specific generalized linear mixed models were used to identify when differences in beverage intakes and anthropometric measures began. Predominant beverage intakes were higher in each of the corresponding clusters by 9–12.5 years; females with high milk intakes during adolescence and males with high 100% juice or sugar-sweetened beverage intakes during adolescence reported higher intakes of that beverage beginning at 2–4.7 years. Females and males in the 100% juice cluster had lower weights than other clusters beginning at 13 years, while females and males in the neutral cluster were shorter beginning at 13 years. Females in the water/sugar-free beverage cluster had higher body mass indices (BMIs) beginning at 9 years. Females and males in the 100% juice cluster had lower BMIs beginning at 5 and 9 years, respectively. Childhood beverage intakes and growth patterns differ according to adolescent beverage patterns.

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.

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 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.

Assessment of Body Mass Index, Sugar Sweetened Beverage Intake and Time Spent in Physical Activity of American Indian Children in Oklahoma

2015 ◽  
Vol 40 (4) ◽  
pp. 808-814 ◽  
Author(s):  
Michelle E. Dennison ◽  
Susan B. Sisson ◽  
Karina Lora ◽  
Lancer D. Stephens ◽  
Kenneth C. Copeland ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
American Indian ◽  
Body Mass ◽  
Indian Children ◽  
Sugar Sweetened Beverage ◽  
Sweetened Beverage

scholarly journals Body mass index modulates the relationship of sugar-sweetened beverage intake with serum urate concentrations and gout

2015 ◽  
Vol 17 (1) ◽  
Author(s):  
Nicola Dalbeth ◽  
Amanda Phipps-Green ◽  
Meaghan E. House ◽  
Gregory D. Gamble ◽  
Anne Horne ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Serum Urate ◽  
Sugar Sweetened Beverage ◽  
Sweetened Beverage ◽  
Relationship Of ◽  
The Relationship

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

PLoS ONE ◽  
2021 ◽  
Vol 16 (9) ◽  
pp. e0257438
Author(s):  
Payao Phonsuk ◽  
Vuthiphan Vongmongkol ◽  
Suladda Pongutta ◽  
Rapeepong Suphanchaimat ◽  
Nipa Rojroongwasinkul ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Sugar Sweetened Beverage ◽  
Sweetened Beverage ◽  
Modelling Study

scholarly journals Age 2- to 5-Year Sugar-Sweetened Beverage Intakes Predict Age 5- to 17-Year BMI Cluster Assignment, but Not %BF or FMI Cluster Assignment, Following Energy Adjustment

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 1658-1658
Author(s):  
Teresa Marshall ◽  
Alexandra Curis ◽  
Joseph Cavanaugh ◽  
John Warren ◽  
Steven Levy
Keyword(s):  
Bone Development ◽  
Full Model ◽  
Cluster Assignment ◽  
Sugar Sweetened Beverage ◽  
Sweetened Beverage ◽  
Funding Sources ◽  
Diet Records ◽  
Study Participants ◽  
Dxa Scans ◽  
High Bmi

Abstract Objectives Sugar-sweetened beverage (SSB) intakes have been associated with obesity, generally assessed using body mass index (BMI). BMI is a surrogate measure of obesity, with % body fat (%BF) and fat mass index (FMI) considered more direct measures of BF. Our objectives were to predict age 5- to 17-year low, middle, and high BMI, %BF, and FMI cluster assignments from age 2- to 5-year beverage and energy intakes. Methods Iowa Fluoride Study/Iowa Bone Development Study participants were recruited at birth and followed longitudinally. Participants (n = 299) with at least two beverage questionnaires and 3-day diet records completed between 2–5 years and at least four of six dual-energy X-ray absorptiometry (DXA) scans at 5, 9, 11, 13, 15, and 17 years were included in analyses. Beverage intakes (i.e., SSB, juice, water, milk) were calculated from beverage questionnaires and energy intakes from diet records. %BF and FMI were obtained from DXA scans. Ward's method for hierarchical clustering was used to identify low, medium, and high BMI, %BF and FMI clusters. Multinomial cumulative logit models were used to predict the dependent variables (BMI, %BF and FMI cluster assignments) from the independent variables (beverage and energy intakes) with adjustment for sex and/or socioeconomic status (SES). Results In multivariable models, SSB intake adjusted for other beverage intakes and sex was significantly associated with BMI, %BF, and FMI cluster, while energy intake adjusted for sex was also significantly associated with BMI, %BF, and FMI cluster. In a full model including all beverage and energy intakes, which was adjusted for sex and SES, both SSB and energy intakes were significantly associated with BMI, but not %BF or FMI. In the full model, for each 8 oz/day increase in SSB at 2–5 years, the odds of being in a higher BMI cluster as opposed to a lower cluster at 5–17 years increased by 73% (95% CI: 7%, 179%). In the full model, each 100 kcal/day increase in energy increased the odds of being in a higher BMI cluster by 11% (95% CI: 1%, 21%). Conclusions In separate models, both SSB and energy intakes predicted BMI, %BF and FMI cluster. When included in the same model, both SSB and energy intakes predicted BMI, yet neither predicted %BF or FMI, likely due to collinearity resulting from the association between SSB and energy intakes. Funding Sources NIH; RJ Carver Trust; Iowa Delta Dental.

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
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