Figures & data
Table 1. The distribution of age and gender in 1995 responders and non-responders and the background population in Greenland. The p-values are calculated sing Chi-squared test with Yates correction testing if the responding group reflects the background population. Significance level p < 0.05.
Table 2. The distribution of age and gender in 2014 responders and the background population in Greenland. The p-values are calculated using Chi-squared test with Yates correction testing the distribution differences between the responding group and the background population. Significance level p < 0.05.
Table 3. Shows the distribution of answers in the 1995 and 2014 cohorts, respectively, according to sex. The p-values are calculated using Chi-squared test with Yates correction testing significant differences between the number of persons answering “yes” to the questions in 1995 and 2014. *Only replied if “yes” to question no. 1. Significance level p < 0.05 and 95% CI was calculated on significant values.
Table 4. Shows 1995 and 2014, respectively, and the number of persons who answered “yes” according to age groups. The p-values are calculated using Chi-squared test with Yates correction for each age group testing if there are significant differences between the number of persons answering yes in 1995 and 2014. *Only replied if “yes” to question no. 1. Significance level p < 0.05 and 95% CI was calculated on significant values.
Table 5. Shows the distribution of male ”yes” answers of the 1995 and 2014 cohorts, respectively, according to age groups. The p-values are calculated using Chi-squared test with Yates correction for each age group testing if there is a significant difference between the number of persons answering yes in 1995 and 2014. *Only replied if “yes” to question no. 1. Significance level p < 0.05 and 95% CI was calculated on significant values.
Table 6. Shows the distribution of females answering ”yes” to the questions in the 1995 and 2014 cohorts, respectively, according to age groups. The p-values are calculated using Chi-squared test with Yates correction for each age group testing if there is a significant difference between the number of persons answering “yes” in 1995 and 2014. *Only replied if “yes” to question no. 1. Significance level p < 0.05 and 95% CI was calculated on significant values.