Suchergebnisse

Purpose. To examine caregiver and youth attitudes about sports drinks (SDs) and the association of those attitudes with youth SD intake. Design. Study design was cross-sectional. The online YouthStyles survey was sent to youth (ages 12–17 years) whose caregivers completed the online Summer ConsumerStyles survey for adults. Setting. The 2011 Styles survey data comprised the setting. Subjects. The sample was composed of 815 U.S. caregiver-youth dyads. Measures. The outcome variable is youth SD consumption, and exposure variables are youth and caregivers' attitudes that SDs are healthy for children, and caregivers' attitude that children need SDs for hydration. Covariates are youth demographic and physical activity variables. Analysis. Multivariable logistic regression was used to estimate adjusted odds ratios (ORs) for youth SD consumption one or more times per week after controlling for covariates. Results. About one in five youth consumed SDs one or more times per week. Caregiver attitudes about the healthfulness of SDs and children's need of SDs for hydration both significantly differed by race and caregiver education level. The odds of youth SD consumption one or more times per week were significantly higher among youth of caregivers who agreed that SDs are good, healthy drinks for children (OR, 2.72 vs. disagreed) and among youth of caregivers who agreed that children need SDs for hydration (OR, 3.15 vs. disagreed). Youth attitude about SD healthfulness was not associated with intake. Conclusion. Caregivers, particularly minority and less educated caregivers, may need more education about SD use.

Purpose. To examine U.S. adult knowledge of the sugar content of sports drinks and whether this knowledge and other characteristics are associated with their sports drink consumption. Design. Nonexperimental. Setting. Nationally representative 2011 Summer ConsumerStyles survey data. Subjects. 3929 U.S. adults. Measures. The outcome variable was sports drink consumption in the past 7 days. The main exposure variable was knowledge about sports drinks containing sugar. The covariates were sociodemographic characteristics, physical activity, and weight status. Analysis. Multivariable logistic regression analysis was used to estimate adjusted odds ratios (ORs) for adults consuming sports drinks ≥1 times/wk after controlling for other characteristics. Results. Approximately 22% of adults reported consuming sports drinks ≥1 times/wk. Most adults (71%) agreed that sports drinks contain sugar; however, this agreement was not significantly associated with adults' sports drink consumption. The odds of drinking sports drinks ≥1 times/wk were significantly higher among younger adults aged 18 to 64 years (OR range: 5.46–2.71), males (OR = 2.09), high-school graduates (OR = 1.52), and highly active adults (OR = 2.09). Conclusion. There were disparities in sports drink consumption by sociodemographic characteristics and physical activity level; however, knowledge of sports drinks' sugar content was not associated with consumption. Understanding why some population groups are higher consumers may assist in the development of education, providing those groups with a better understanding of sports drinks' nutritional value and health consequences of excessive sugar consumption in any form.

Purpose: To examine wearable activity monitor (WAM) use and its association with meeting the 2008 aerobic Physical Activity Guidelines (PAG) and walking among older adults. Design: Cross-sectional. Setting: FallStyles 2015 national consumer panel survey. Sample: 1,317 U.S. adults aged ≥ 60 years. Measures: Self-reported WAM use, meeting aerobic PAG, and walking. Covariates included age, sex, race/ethnicity, education level, marital status, annual household income, and geographic region of the country. Analysis: Chi-square tests to examine associations between WAM use and respondent demographic characteristics. Logistic regressions to explore associations between WAM use and meeting aerobic PAG and walking adjusted for demographics (e.g., education, income). Results: Among older adults, 8.0% were current WAM users and 11.3% were past WAM users. Current WAM use was most prevalent among those aged 65-74 (16.6%), females (9.4%), college graduates (13.8%), and those with incomes $75,000-$99,999 (14.8%). Current WAM users were more likely than never WAM users to report meeting aerobic PAG (OR: 3.98; 95% CI: 2.07, 7.66) and walking (OR: 3.90; 95% CI: 1.57, 9.69). Past and never WAM use were not associated with meeting aerobic PAG or walking. Conclusion: We found current WAM use is associated with meeting the aerobic PAG and walking among older adults. Further longitudinal research is needed to understand whether WAM could promote increased PA among older adults.