Key findings from the 2009 New Zealand ... - Ministry of Health
Key findings from the 2009 New Zealand ... - Ministry of Health
Key findings from the 2009 New Zealand ... - Ministry of Health
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The caption gives information about what<br />
<strong>the</strong> graph is about, and indicates whe<strong>the</strong>r<br />
<strong>the</strong> data are age-standardised<br />
The legend shows who or<br />
what is represented by <strong>the</strong><br />
different colours in <strong>the</strong> graph<br />
Figure X: Current smoking among 15–64-year-olds, by age group and sex, <strong>2009</strong> (unadjusted prevalence)<br />
Percent<br />
60<br />
Males<br />
Females<br />
50<br />
40<br />
The height <strong>of</strong> <strong>the</strong> bar<br />
indicates <strong>the</strong><br />
prevalence for each<br />
population group<br />
30<br />
20<br />
10<br />
0<br />
16.9 19.1 30.1 31.2 33.4 21.1 22.5 21.5 22.6 22.3 18.6 14.0 10.6 11.2<br />
15–19 20–24 25–29 30–39 40–49 50–59 60–64<br />
Age group (years)<br />
This number<br />
gives <strong>the</strong><br />
prevalence value<br />
(%) for each bar<br />
Source: <strong>2009</strong> <strong>New</strong> <strong>Zealand</strong> Tobacco Use Survey<br />
The vertical line indicates <strong>the</strong> 95% confidence interval for <strong>the</strong> prevalence<br />
estimate. If any two confidence intervals do not overlap, <strong>the</strong> difference<br />
between <strong>the</strong> two prevalence estimates is statistically significant. However, in<br />
some cases, <strong>the</strong> difference between two prevalence estimates can be<br />
statistically significant even if <strong>the</strong> confidence intervals overlap. In instances<br />
where <strong>the</strong>re was a small overlap between groups (indicating possible<br />
significance), t-tests were conducted to determine whe<strong>the</strong>r <strong>the</strong>re was a<br />
significant difference between groups.<br />
8 Tobacco Use in <strong>New</strong> <strong>Zealand</strong>