Results for logistic regressions were presented as adjusted odds

Results for logistic regressions were presented as adjusted odds ratios (OR) and 95% confidence intervals (CI). Survey data were weighted using the CPPW BRFSS iterative proportional fitting methodology (also known as raking) that accounted for the CPPW BRFSS sampling design and applied Multnomah population characteristics for race, ethnicity, age, RAD001 gender, geographic area, education, and marital status. We compared marginal totals for each demographic characteristic

between the CPPW BRFSS sample and the media evaluation survey sample and determined that differences in the media survey sample were negligible and did not require further adjustment to the weight. Data tables show weighted population estimates and unweighted counts. We performed all analyses with Stata v. 11 (StataCorp LP, College Station, Texas). Four-hundred two individuals responded to the media evaluation survey. Table 1 provides a description of the respondents to the survey. The average length of the telephone interviews www.selleckchem.com/products/BIBW2992.html was 9.3 min. Table 2 shows the attitudes, knowledge, behavioral intentions, and sugary drink consumption of respondents. After the campaign, nearly 70% of respondents were aware of at least one campaign element (aided and unaided

combined). Most respondents agreed that too much sugar causes health problems (94.2%) and that childhood obesity is a problem in their communities (74.7%). About 46% reported drinking at least one soda in the prior month and 41.3% reported drinking at least

one sugary drink other than soda in the prior month. Prior to the campaign, 40.3% of respondents reported drinking at least one soda in the prior month on the CPPW BRFSS. This was the only question that was repeated verbatim in both surveys. The difference was not statistically significant. There were significant differences in knowledge and behaviors between respondents who were aware of at least one element of the campaign and those who were not (Table 3). Although a high percentage (85.9%) of respondents who were not aware of the campaign agreed that too much sugar causes health problems, a significantly higher percentage (97.3%) of respondents who were aware of the campaign agreed with this statement. However, those who crotamiton were not aware of the campaign were significantly more likely to report never having a sugary drink (other than soda) in the prior month (72.9%) than those who were aware of the campaign (53.4%). For those who were aware of the campaign, there were several significant associations among socio-demographic subgroups and attitudes, knowledge, behavioral intentions, and sugary drink consumption (Table 4). Notably, there were significant associations for the target demographic of the campaign: younger women, especially mothers.

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