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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>

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