Consumption Patterns of Sugar-Sweetened Carbonated Beverages Among Children and Adolescents

Rao, Goutham; Kirley, Kate; Weiss-Coleman, Rebecca; Inman, J. Jeffrey; Bauer, Victoria; Zhou, Ying; Hledin, Victoria

doi:10.1007/s12170-015-0445-6

Cited by 14 publications

(18 citation statements)

References 26 publications

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“…11 From their multiethnic school-aged population of 9–17 years olds, Evans et al 18 reported that the consumption of SSB significantly increased by grade; 50% of the 4 th graders were SSB consumers, whereas in the 11 th grade 60% of the students were identified as consumers. We found no effect of gender on SSB consumption in our combined analysis, whereas in 6–11 year olds, female gender was a determinant of low SSB consumption.…”

Section: Discussionmentioning

confidence: 99%

“…This is somewhat in line with the evidence so far, which have been consistently showing that the male gender is associated with higher odds of regular SSB consumption. 8, 9, 11–13, 18 …”

Section: Discussionmentioning

confidence: 99%

“…7–10 Previous studies have found that older children and adolescents are more likely to consume SSB than younger children. 11, 12 A comparison of National Health and Nutrition Examination Survey (NHANES) data from cycles 1988–1994 to 1999–2004 showed the largest increases in SSB consumption was among children 6–11 years old. While no changes were observed among non-Hispanic white adolescents, there were significant increases in consumption among non-Hispanic blacks and Hispanics.…”

Section: Introductionmentioning

confidence: 99%

“…8, 11, 13 SSB consumption is usually negatively associated with physical activity and positively associated with sedentary behaviors, such as watching television. 9, 11, 14 The school environment, the use of vending machines in particular, was found to be associated with a higher intake of SSB. 7 Children whose parents drank SSB were more likely to consume soft drinks regularly.…”

Section: Introductionmentioning

confidence: 99%

“…8, 9, 11, 13 Moreover, most studies that examined determinants of SSB among children have focused only on middle and/or high school students. 7–9, 13, 14 Lastly, many studies have lacked household and socioeconomic factors, 7, 8, 13, 14 which in one study have been found to be significant determinants in SSB intake among children.…”

Section: Introductionmentioning

confidence: 99%

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Determinants of Sugar-Sweetened Beverage Consumption among Low-Income Children: Are There Differences by Race/Ethnicity, Age, and Sex?

Tasevska¹,

DeLia²,

Lorts³

et al. 2017

Journal of the Academy of Nutrition and Dietetics

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Background Understanding determinants of high consumption of sugar-sweetened beverages (SSB), a highly prevalent obesogenic behavior, will help build effective customized public health interventions. Objective To identify child and parent lifestyle and household demographic factors predictive of high SSB consumption frequency in children from low-income, ethnically diverse communities that may help inform public health interventions. Design Cross-sectional telephone household survey. Participants/Setting 717 boys and 686 girls 3–18 years old from the New Jersey Childhood Obesity Study living in five low-income cities (Camden, New Brunswick, Newark, Trenton, and Vineland). The adult most knowledgeable about household food shopping completed a questionnaire over the telephone inquiring about their and their child’s dietary and physical activity habits, and household-, parent-, and child-level demographics. Main outcome measures Child’s SSB consumption frequency. Statistical analysis performed Multivariate ordered logit models were designed to investigate a variety of variables hypothesized to affect the frequency of SSB consumption. Exploratory stratified analyses by race, gender, and age were also conducted. Results Eight percent of our study participants never consumed SSBs, 45% consumed SSBs at least once per day, and 23% consumed twice or more per day. SSB consumption was higher among children 12–18 vs. 3–5 years (p<0.0001), of non-Hispanic black vs. non-Hispanic white race/ethnicity (p=0.010), who were moderate fast food consumers vs. never consumers (p=0.003), and those whose parents were high vs. low SSB consumers (p<0.0001). Living in a non-English speaking household (p=0.030), having a parent with a college or higher education vs. less than high school (p=0.003), and having breakfast 6–7 days/week vs. never to ≤ twice/week were associated with lower SSB consumption (p=0.001). Conclusions We identified a number of household-, parental-, and child-level predictors of SSB consumption, which varied by race, gender and age, useful for building customized interventions targeting certain behaviors in ethnically diverse, low-income children.

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Section: Discussionmentioning

confidence: 99%

“…This is somewhat in line with the evidence so far, which have been consistently showing that the male gender is associated with higher odds of regular SSB consumption. 8, 9, 11–13, 18 …”

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Determinants of Sugar-Sweetened Beverage Consumption among Low-Income Children: Are There Differences by Race/Ethnicity, Age, and Sex?

Tasevska¹,

DeLia²,

Lorts³

et al. 2017

Journal of the Academy of Nutrition and Dietetics

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Physical Activity and Consumption Patterns of Reproductive-Aged Women by BMI Category

Bello

Stulberg

Zhou

et al. 2018

Matern Child Health J

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Objectives Obesity before and during pregnancy is associated with adverse effects for mother and child, but little is known about physical activity and consumption patterns among reproductive-aged women. The goal of this study is to identify behaviors of nonpregnant reproductive-aged women associated with normal weight, overweight, and obesity. Methods Data from the nationally representative National Eating Trends survey (2003-2011) were analyzed, comparing number of days of exercise in a 1-week period and consumption of fruits/vegetables, sugar sweetened beverages (SSB), and concentrated sweets by BMI. Behaviors were compared using analysis of variance and Chi square test across groups. Ordinal logistic regression was used to compare behaviors across groups controlling for demographic factors. Multivariable Poisson regression was used to identify demographic factors associated with behaviors among obese women. Results Among 5941 18-45-year-old women, exercise and fruit/vegetable consumption were associated with healthy weight controlling for demographic factors. Reporting any exercise or fruit/vegetable consumption was associated with decreased odds of overweight or obesity (aOR 0.73, 95% CI 0.64-0.83 and aOR 0.74, 95% CI 0.58-0.95, respectively). Consuming SSBs was associated with increasing BMI category while consuming concentrated sweets was unexpectedly associated with normal weight. Among obese women, being on any diet was associated with increased exercise frequency and fruit/vegetable consumption and decreased SSB consumption. Conclusions for Practice Physical activity and consumption behaviors are associated with weight among reproductive-aged women in ways similar to those in the general population. Promoting exercise and fruit/vegetable consumption has the potential to reduce obesity.

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Yogurt, Its Relationship to Cardiometabolic Outcomes, and Patterns of Consumption

Rao

Bauer

Kuchta

et al. 2017

Curr Cardiovasc Risk Rep

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Consumption Patterns of Sugar-Sweetened Carbonated Beverages Among Children and Adolescents

Cited by 14 publications

References 26 publications

Determinants of Sugar-Sweetened Beverage Consumption among Low-Income Children: Are There Differences by Race/Ethnicity, Age, and Sex?

Determinants of Sugar-Sweetened Beverage Consumption among Low-Income Children: Are There Differences by Race/Ethnicity, Age, and Sex?

Physical Activity and Consumption Patterns of Reproductive-Aged Women by BMI Category

Yogurt, Its Relationship to Cardiometabolic Outcomes, and Patterns of Consumption

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