The questionnaire included items concerning the campaign: having seen the campaign or not; if yes: where (which medium), the global appreciation of the campaign (measured by a 10 points satisfaction scale, 1 indicating a very bad appreciation and 10 an excellent appreciation), the possible discussion and reflection that could be induced by the campaign, and some socio-economic characteristics of selleck chemicals llc the respondent (sex, age, education level, profession). In this paper, differences between some key variables of the campaign and education level and age will be presented. For the purpose of the analysis, respondents were categorized in three age groups: teen-agers and young adults (14-35 yrs), middle-aged adults (36-55 yrs) and seniors (56 and over).
Education level was recoded in four groups: first degree of secondary school, vocational secondary school (second degree), secondary school (second degree) and college/university degree. Differences between proportions were calculated with Pearson chi square, at 5% significance level. Mean score differences (global satisfaction score) were compared between categorical variables using one-way analysis of variance (Anova), at the same level of significance. Results Of all persons who were phoned, a total of 1,002 interviews were conducted (response rate 37.1%). Table Table11 describes the socio-economic characteristics of the respondents. Table 1 Sample description About 19% of the respondents have seen the campaign (18.8%). There are no significant differences between Dutch- and French-speaking respondents.
Important differences are, however, observed between age groups and education levels: 30% of the youngest age group (14-35 yrs) has seen the campaign vs. 13% of the seniors (p<0.001). The lower the education level, the lower the probability to have seen the campaign (11% in the lowest group, 25% in the highest one, p<0.001). Because less people aged 56 and over belong to the highest educational group compared to the young generation, we have stratified the association between the variable "have seen the campaign" and education level by age groups. This stratified analysis does not show statistically significant associations between education and "have seen the campaign" in the young age groups. But a statistically significant association is observed between those two variables in the oldest age group.
When we consider only the respondents who have seen the campaign (n = 188), we notice important differences between generations on the type of media. More than one third of the people aged 36-55 have GSK-3 read the campaign in newspapers (35.3%): this is the highest percentage among the three age groups; 21.5% of the seniors (56 and over) and only 14.1% of the youngest age group (p<0.05). Inversely, young people have seen the campaign on street boards more often (32%, vs. 15% in the oldest aged group and 19.6% in the middle aged group, p = 0.