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   <ui>1475-9276-5-14</ui>
   <ji>1475-9276</ji>
   <fm>
      <dochead>Commentary</dochead>
      <bibl>
         <title>
            <p>What potential has tobacco control for reducing health inequalities? The New Zealand situation</p>
         </title>
         <aug>
            <au id="A1" ca="yes">
               <snm>Wilson</snm>
               <fnm>Nick</fnm>
               <insr iid="I1"/>
               <email>nwilson@actrix.gen.nz</email>
            </au>
            <au id="A2">
               <snm>Blakely</snm>
               <fnm>Tony</fnm>
               <insr iid="I1"/>
               <email>tony.blakely@otago.ac.nz</email>
            </au>
            <au id="A3">
               <snm>Tobias</snm>
               <fnm>Martin</fnm>
               <insr iid="I2"/>
               <email>martin_tobias@moh.govt.nz</email>
            </au>
         </aug>
         <insg>
            <ins id="I1">
               <p>Department of Public Health, Wellington School of Medicine and Health Sciences, Otago University, PO Box 7343 Wellington South, New Zealand</p>
            </ins>
            <ins id="I2">
               <p>Ministry of Health, PO Box 5013, Wellington, New Zealand</p>
            </ins>
         </insg>
         <source>International Journal for Equity in Health</source>
         <issn>1475-9276</issn>
         <pubdate>2006</pubdate>
         <volume>5</volume>
         <issue>1</issue>
         <fpage>14</fpage>
         <url>http://www.equityhealthj.com/content/5/1/14</url>
         <xrefbib>
            <pubidlist>
               <pubid idtype="pmpid">17081299</pubid>
               <pubid idtype="doi">10.1186/1475-9276-5-14</pubid>
            </pubidlist>
         </xrefbib>
      </bibl>
      <history>
         <rec>
            <date>
               <day>17</day>
               <month>5</month>
               <year>2006</year>
            </date>
         </rec>
         <acc>
            <date>
               <day>02</day>
               <month>11</month>
               <year>2006</year>
            </date>
         </acc>
         <pub>
            <date>
               <day>02</day>
               <month>11</month>
               <year>2006</year>
            </date>
         </pub>
      </history>
      <cpyrt>
         <year>2006</year>
         <collab>Wilson et al; licensee BioMed Central Ltd.</collab>
         <note>This is an Open Access article distributed under the terms of the Creative Commons Attribution License (<url>http://creativecommons.org/licenses/by/2.0</url>), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</note>
      </cpyrt>
      <abs>
         <sec>
            <st>
               <p>Abstract</p>
            </st>
            <p>In this <it>Commentary</it>, we aim to synthesize recent epidemiological data on tobacco and health inequalities for New Zealand and present it in new ways. We also aim to describe both existing and potential tobacco control responses for addressing these inequalities.</p>
            <p>In New Zealand smoking prevalence is higher amongst M&#257;ori and Pacific peoples (compared to those of "New Zealand European" ethnicity) and amongst those with low socioeconomic position (SEP). Consequently the smoking-related mortality burden is higher among these populations. Regarding the gap in mortality between low and high socioeconomic groups, 21% and 11% of this gap for men and women was estimated to be due to smoking in 1996&#8211;99. Regarding the gap in mortality between M&#257;ori and non-M&#257;ori/non-Pacific, 5% and 8% of this gap for men and women was estimated to be due to smoking. The estimates from both these studies are probably moderate underestimates due to misclassification bias of smoking status. Despite the modest relative contribution of smoking to these gaps, the absolute number of smoking-attributable deaths is sizable and amenable to policy and health sector responses.</p>
            <p>There is some evidence, from New Zealand and elsewhere, for interventions that reduce smoking by low-income populations and indigenous peoples. These include tobacco taxation, thematically appropriate mass media campaigns, and appropriate smoking cessation support services. But there are as yet untried interventions with major potential. A key one is for a tighter regulatory framework that could rapidly shift the nicotine market towards pharmaceutical-grade nicotine (or smokeless tobacco products) and away from smoked tobacco.</p>
         </sec>
      </abs>
   </fm>
   <meta>
      <classifications>
         <classification type="bmc" subtype="user_supplied_xml" id="endnote"/>
      </classifications>
   </meta>
   <bdy>
      <sec>
         <st>
            <p>Background</p>
         </st>
         <p>As for other countries, the distribution of disease burden in New Zealand is far from equal <abbrgrp><abbr bid="B1">1</abbr><abbr bid="B2">2</abbr><abbr bid="B3">3</abbr><abbr bid="B4">4</abbr></abbrgrp>. In particular, there are much higher rates of premature death and of serious chronic diseases for the poorest New Zealanders, for M&#257;ori (the indigenous people of New Zealand), and for Pacific peoples living in this country. M&#257;ori adult mortality rates are at least twice those of non-M&#257;ori in New Zealand. Such inequitable patterns are a concern for the government and the health sector for the ethical reason of ensuring justice but also because the New Zealand Government is committed to improving M&#257;ori health under the obligations of the Treaty of Waitangi (signed in 1840 between the British Crown and M&#257;ori chiefs). In particular, Article Three of this Treaty translates into an obligation for Crown agencies to work to ensure that M&#257;ori citizens enjoy the same rights as others, including the right to good health. Section 8 of the New Zealand Public Health and Disability Act (2000), specifically requires health services to recognize the principles of the Treaty of Waitangi <abbrgrp><abbr bid="B5">5</abbr></abbrgrp>.</p>
         <p>Other arguments for reducing health inequalities are less prominent in the New Zealand discourse, but include the benefits of enhancing overall public health and social cohesion and the resultant economic benefits. The latter may arise from preventing premature deaths among workers and reducing productivity losses associated with worker illness.</p>
         <p>Given these issues, we aimed to synthesize recent epidemiological data on tobacco and health inequalities for New Zealand, and to present it in new ways. We also aimed to describe existing and potential tobacco control responses for addressing these inequalities. Our focus is on socioeconomic and ethnic health inequalities, and we leave other inequalities (eg, gender, regional) to other forums.</p>
      </sec>
      <sec>
         <st>
            <p>Social and ethnic patterning of tobacco use in New Zealand</p>
         </st>
         <p>Many international studies provide strong evidence that smoking prevalence is patterned by socioeconomic position (SEP) <abbrgrp><abbr bid="B6">6</abbr><abbr bid="B7">7</abbr><abbr bid="B8">8</abbr><abbr bid="B9">9</abbr><abbr bid="B10">10</abbr></abbrgrp>, and the same is true in New Zealand <abbrgrp><abbr bid="B1">1</abbr><abbr bid="B11">11</abbr><abbr bid="B12">12</abbr></abbrgrp>. There is also evidence that smoking prevalence in this country has become more strongly patterned by SEP over time <abbrgrp><abbr bid="B11">11</abbr><abbr bid="B12">12</abbr></abbrgrp>. One reason for this is that the uptake of smoking by young people has declined more steeply amongst those in the highest income level over recent decades <abbrgrp><abbr bid="B13">13</abbr></abbrgrp>. M&#257;ori and Pacific peoples have a higher smoking prevalence than non-M&#257;ori/non-Pacific, partly reflecting relative socioeconomic disadvantage.</p>
         <p>Another reason for the increase in the SEP patterning of smoking over time is probably because the quit rates among higher-SEP New Zealanders have increased more than for other groups <abbrgrp><abbr bid="B13">13</abbr></abbrgrp>. The difference in quit rates by SEP may be due to such factors as: (i) the impact of educational level on knowledge of tobacco risks and motivation and knowledge of how to quit; (ii) economic barriers to quitting technologies (eg, the price of nicotine replacement therapy was fairly high until recently and there are still cost barriers for some pharmaceutical aids such as bupropion); and (iii) differential levels of social and other support for quitting. With the latter for example, second-hand smoke exposure is higher in low-income groups <abbrgrp><abbr bid="B14">14</abbr></abbrgrp> and for M&#257;ori <abbrgrp><abbr bid="B14">14</abbr><abbr bid="B15">15</abbr></abbrgrp>. Also, the first major smokefree law (in 1990) benefited office workers more than factory workers in terms of reducing exposure to second-hand smoke <abbrgrp><abbr bid="B16">16</abbr></abbrgrp>.</p>
      </sec>
      <sec>
         <st>
            <p>Studies on tobacco and health inequalities in New Zealand</p>
         </st>
         <sec>
            <st>
               <p>Lung cancer as a marker of historic tobacco exposure</p>
            </st>
            <p>Lung cancer is the cause of death that most directly reflects the (historic) burden of smoking. Figure <figr fid="F1">1</figr> shows lung cancer mortality rates by ethnicity and household income, for the 1980s and 1990s, as calculated from the New Zealand Census-Mortality Study (NZCMS) that uses linked census and mortality datasets covering millions of person-years of observation <abbrgrp><abbr bid="B17">17</abbr></abbrgrp>. Lung cancer mortality rates among M&#257;ori were over four times the non-M&#257;ori/non-Pacific rate for women and over three times for men (for 1996&#8211;1999). The rates for Pacific people were also relatively high (at over 2 times for men and 1.4 times for women, compared to non-M&#257;ori/non-Pacific). Over the same 1981&#8211;1999 time period, the inequality in male lung cancer mortality rates by household income persisted despite a decline in deaths in all income groups. However, in women there was a large increase among the low-income group compared to a decrease among the high-income group. Over this time period there was also an overall <it>increase </it>in ethnic inequalities in mortality rates from lung cancer (in both men and women). The authors of this study concluded that these inequalities will probably widen in future decades &#8211; unless there is concerted public health action. All these patterns are consistent with differently phased tobacco epidemics <abbrgrp><abbr bid="B18">18</abbr></abbrgrp> by ethnicity and SEP, resulting in changing inequalities in lung cancer over time.</p>
            <fig id="F1">
               <title>
                  <p>Figure 1</p>
               </title>
               <caption>
                  <p>Age standardised lung cancer mortality rates in New Zealand by ethnicity and household income, males and females (per 100,000 population)</p>
               </caption>
               <text>
                  <p>Age standardised lung cancer mortality rates in New Zealand by ethnicity and household income, males and females (per 100,000 population). <b>Source: </b>Data derived from: [17]. The bars indicate 95% confidence intervals. Note the different age range for ethnicity and household income. The ethnic mortality rates were calculated using adjustment factors (from the NZCMS) for historic undercounting of M&#257;ori and Pacific deaths [2, 3], and the income mortality rates were calculated directly from linked census-mortality data. Rates by household income are standardised or both age and ethnicity. <it>Ethnicity definitions</it>: The definition of ethnicity progressively changed from fractionated ethnic origin in the 1981 census (eg, 7/8 European, 1/8 M&#257;ori), to multiple self-identified ethnicity in 1996 elicited by the question: "Tick as many circles as you need to show which ethnic group(s) you belong to". This change in the question and secular trends in how people viewed their own ethnicity led to a disproportionate increase in the M&#257;ori population (than expected on the basis of demographic projections alone). However, trends in mortality rates shown above are largely unaffected, as the numerators have been adjusted to be consistent with the denominators.</p>
               </text>
               <graphic file="1475-9276-5-14-1"/>
            </fig>
            <p>The very large inequalities in lung cancer mortality by ethnicity are probably greater than would result alone from historically (still large) differences in smoking prevalence, pointing to other independent, and likely interacting, risk factors. These may include such factors as: varying passive smoking exposure <abbrgrp><abbr bid="B14">14</abbr><abbr bid="B15">15</abbr></abbrgrp>, environmental pollution exposure <abbrgrp><abbr bid="B19">19</abbr></abbrgrp> and hazardous occupational exposure such as from asbestos <abbrgrp><abbr bid="B20">20</abbr></abbrgrp>. Diet may also be relevant to this differential (eg, given evidence around fruit intake lowering lung cancer risk <abbrgrp><abbr bid="B21">21</abbr></abbrgrp>) and so might genetics given some New Zealand evidence for variability in nicotine metabolism by ethnicity <abbrgrp><abbr bid="B22">22</abbr></abbrgrp>.</p>
            <p>Differential survival, due to differential access to care and more advanced stage at presentation will also contribute to ethnic inequalities in lung cancer mortality. M&#257;ori are more likely than non-M&#257;ori to have lung cancer identified at a later stage and have a lower survival rate after diagnosis <abbrgrp><abbr bid="B23">23</abbr></abbrgrp>. Possible factors involved include access to specialised cancer services and the quality of care received <abbrgrp><abbr bid="B24">24</abbr></abbrgrp>.</p>
         </sec>
         <sec>
            <st>
               <p>The contribution of active tobacco smoking to mortality burden within ethnic and socioeconomic groups, and the mortality gap between these groups</p>
            </st>
            <p>The NZCMS includes active smoking data for the 1981&#8211;84 and 1996&#8211;99 cohorts, allowing direct estimations of the active smoking-related burden within and between social groups. The measure of smoking is simply "never", "ex-" and "current" smokers, meaning there will be inevitable misclassification biases of smoking that probably lead to modest underestimates of the contribution of active smoking.</p>
            <p>Table <tblr tid="T1">1</tblr> shows population-attributable risk percents (PAR%) for 45&#8211;74 year olds in 1996&#8211;99 from NZCMS output. They are the percentage reduction in all-cause mortality that might be expected if, in a counterfactual world, all people who were either current or ex-smokers had actually been "never" smokers. Because of slightly (and necessarily) different methods between the ethnic and educational group analyses (see footnotes to Table <tblr tid="T1">1</tblr>), they are not fully comparable. Nevertheless, they do robustly point to the following conclusions:</p>
            <tbl id="T1">
               <title>
                  <p>Table 1</p>
               </title>
               <caption>
                  <p>The estimated percentage decrease (population-attributable risk percent (PAR%)) in 45&#8211;74 year old mortality rates during 1996&#8211;99 had all current and ex-smokers actually been never smokers</p>
               </caption>
               <tblbdy cols="9">
                  <r>
                     <c>
                        <p/>
                     </c>
                     <c cspan="4" ca="center">
                        <p>
                           <b>Men 1996&#8211;99</b>
                        </p>
                     </c>
                     <c cspan="4" ca="center">
                        <p>
                           <b>Women 1996&#8211;99</b>
                        </p>
                     </c>
                  </r>
                  <r>
                     <c cspan="5">
                        <hr/>
                     </c>
                     <c cspan="4">
                        <hr/>
                     </c>
                  </r>
                  <r>
                     <c ca="left">
                        <p>
                           <b>
                              <it>Within educational group &#8224;</it>
                           </b>
                        </p>
                     </c>
                     <c ca="center">
                        <p>
                           <b>PAR% in total population</b>
                        </p>
                     </c>
                     <c cspan="3" ca="center">
                        <p>
                           <b>PAR% within educational group</b>
                        </p>
                     </c>
                     <c ca="center">
                        <p>
                           <b>PAR% in total population</b>
                        </p>
                     </c>
                     <c cspan="3" ca="center">
                        <p>
                           <b>PAR% within educational group</b>
                        </p>
                     </c>
                  </r>
                  <r>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c cspan="3">
                        <hr/>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c cspan="3">
                        <hr/>
                     </c>
                  </r>
                  <r>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c ca="center">
                        <p>
                           <b>Nil</b>
                        </p>
                     </c>
                     <c ca="center">
                        <p>
                           <b>School</b>
                        </p>
                     </c>
                     <c ca="center">
                        <p>
                           <b>Post-school</b>
                        </p>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c ca="center">
                        <p>
                           <b>Nil</b>
                        </p>
                     </c>
                     <c ca="center">
                        <p>
                           <b>School</b>
                        </p>
                     </c>
                     <c ca="center">
                        <p>
                           <b>Post-school</b>
                        </p>
                     </c>
                  </r>
                  <r>
                     <c cspan="9">
                        <hr/>
                     </c>
                  </r>
                  <r>
                     <c ca="left">
                        <p>(ii) All current and ex-smokers become never smokers in each educational group (ie, historically smokefree).</p>
                     </c>
                     <c ca="center">
                        <p>26%</p>
                     </c>
                     <c ca="center">
                        <p>29%</p>
                     </c>
                     <c ca="center">
                        <p>26%</p>
                     </c>
                     <c ca="center">
                        <p>23%</p>
                     </c>
                     <c ca="center">
                        <p>25%</p>
                     </c>
                     <c ca="center">
                        <p>27%</p>
                     </c>
                     <c ca="center">
                        <p>24%</p>
                     </c>
                     <c ca="center">
                        <p>23%</p>
                     </c>
                  </r>
                  <r>
                     <c cspan="5">
                        <hr/>
                     </c>
                     <c cspan="4">
                        <hr/>
                     </c>
                  </r>
                  <r>
                     <c ca="left">
                        <p>
                           <b>
                              <it>Within ethnic group &#8225;</it>
                           </b>
                        </p>
                     </c>
                     <c ca="center">
                        <p>
                           <b>PAR% in total population</b>
                        </p>
                     </c>
                     <c cspan="3" ca="center">
                        <p>
                           <b>PAR% within ethnic group</b>
                        </p>
                     </c>
                     <c ca="center">
                        <p>
                           <b>PAR% in total population</b>
                        </p>
                     </c>
                     <c cspan="3" ca="center">
                        <p>
                           <b>PAR% within ethnic group</b>
                        </p>
                     </c>
                  </r>
                  <r>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c cspan="3">
                        <hr/>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c cspan="3">
                        <hr/>
                     </c>
                  </r>
                  <r>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c ca="center">
                        <p>
                           <b>M&#257;ori</b>
                        </p>
                     </c>
                     <c ca="center">
                        <p>
                           <b>nMnP</b>
                        </p>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c ca="center">
                        <p>
                           <b>M&#257;ori</b>
                        </p>
                     </c>
                     <c ca="center">
                        <p>
                           <b>nMnP</b>
                        </p>
                     </c>
                     <c>
                        <p/>
                     </c>
                  </r>
                  <r>
                     <c cspan="9">
                        <hr/>
                     </c>
                  </r>
                  <r>
                     <c ca="left">
                        <p>(ii) All current and ex-smokers become never smokers in each ethnic group (ie, historically smokefree).</p>
                     </c>
                     <c ca="center">
                        <p>33%</p>
                     </c>
                     <c ca="center">
                        <p>21%</p>
                     </c>
                     <c ca="center">
                        <p>36%</p>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c ca="center">
                        <p>28%</p>
                     </c>
                     <c ca="center">
                        <p>25%</p>
                     </c>
                     <c ca="center">
                        <p>28%</p>
                     </c>
                     <c>
                        <p/>
                     </c>
                  </r>
               </tblbdy>
               <tblfn>
                  <p>&#8224; Source: Table 4 from [75].</p>
                  <p>&#8225; Source: PAR% calculated from data in: [27].</p>
                  <p>NB: The educational PAR% estimates are calculated using Poisson rate ratios adjusted for age and ethnicity, whereas the ethnic PAR% estimates are based on age-standardised mortality rates.</p>
                  <p>nMnP &#8211; non-M&#257;ori non-Pacific (ie, mainly "New Zealand European" ethnicity).</p>
                  <p>See the footnotes to Figure 1 for ethnicity definitions.</p>
               </tblfn>
            </tbl>
            <p>&#8226; active smoking is a major contributor to all-cause mortality in all educational and ethnic groups,</p>
            <p>&#8226; about a quarter of 45&#8211;74 year old all-cause mortality in each educational group is due to active smoking. This figure is slightly higher in lower educational groups, and slightly less in higher educational groups,</p>
            <p>&#8226; about a third of 45&#8211;74 year old all-cause mortality among non-M&#257;ori/non-Pacific is due to smoking. This figure is slightly higher among males, and slightly less among females,</p>
            <p>&#8226; a fifth to a quarter of 45&#8211;74 year old all-cause mortality among M&#257;ori is due to smoking.</p>
            <p>These above estimates for M&#257;ori are less than expected based on previous Ministry of Health estimates that a third of <it>all </it>M&#257;ori deaths (not just 45&#8211;74 year olds where a greater proportion of deaths will be due to smoking than at other ages) are due to tobacco <abbrgrp><abbr bid="B25">25</abbr></abbrgrp>. There are two key reasons why the more recent Ministry of Health estimates for M&#257;ori are likely overestimates. First, other recent work from the NZCMS finds that the relative risk of death associated with tobacco use varies by ethnic group and over time <abbrgrp><abbr bid="B26">26</abbr></abbrgrp>. All-cause rate ratios (RRs) for mortality associated with smoking were significantly greater within non-M&#257;ori/non-Pacific than within M&#257;ori: 2.22 compared to 1.51 respectively for men, and 2.20 compared to 1.45 respectively for women (for 1996&#8211;99). One of the likely reasons for this rate ratio heterogeneity is the greater role of competing non-tobacco causes of mortality among M&#257;ori and Pacific peoples. But other factors may also be relevant eg, different patterns of what cigarettes are used and how they are smoked. Second, the Ministry of Health estimates have used the standard WHO/Peto methodology whereby lung cancer mortality rates are used to estimate the total mortality impact of smoking. However, as mentioned above, M&#257;ori lung cancer mortality rates are higher than would be expected on the basis of tobacco smoking alone, which would lead the WHO/Peto method to overestimate the total tobacco-related mortality burden among M&#257;ori.</p>
            <p>What of the contribution of smoking to <b>gaps </b>in mortality between ethnic and socioeconomic groups? Poisson regression analyses adjusting for smoking reduced the all-cause mortality RRs for men with nil educational qualifications compared with men with post-school qualifications from 1.34 to 1.29 in 1981&#8211;84 and from 1.31 to 1.25 in 1996&#8211;99. This equated to 16% and 21% reductions in relative inequalities respectively. The equivalent results for women were 3% and 11% reductions in relative inequalities for these time periods. Such higher mortality rates for men and women with poorer education were due to the impact of smoking on cardiovascular, cancer and respiratory deaths. The patterns identified in this study were considered to reflect the historically differential phasing of the tobacco epidemic by sex and SEP.</p>
            <p>The most recent NZCMS study on smoking examined its contribution to ethnic inequalities in mortality <abbrgrp><abbr bid="B27">27</abbr></abbrgrp>. It found that the apparent contribution of smoking to mortality differences between M&#257;ori and non-M&#257;ori/non-Pacific was greatest for women in 1996&#8211;99 (8% reduction in standardised rate difference), and had increased from 1981&#8211;84 to 1996&#8211;99 for both men (from -1% to 5%) and women (from 3% to 8%). That is, the contribution of smoking to ethnic gaps (in percentage terms) is notably less than for socioeconomic gaps. But a fuller understanding of this requires also considering the actual underlying mortality rates.</p>
            <p>Figure <figr fid="F2">2</figr> attempts to pull together the above findings for 1996&#8211;99, and addresses the need to consider absolute mortality rates and absolute differences in mortality rates (as well as relative risks and percentage contributions). It shows actual mortality rates by ethnicity and education (partitioned by the proportions estimated to be smoking- and non-smoking related). A floating column representing the gap in mortality rates is included (again partitioned into smoking and non-smoking-related components). The figure should be considered indicative only. There are unavoidable differences in methodology between: the ethnic versus educational analyses as stated above; the determination of PAR% within ethnic and socioeconomic group versus the percentage contributions to gaps between ethnic and socioeconomic groups; and standardisation versus regression methodologies for different components of analysis behind the figure. Nevertheless, there are a number of robust findings:</p>
            <fig id="F2">
               <title>
                  <p>Figure 2</p>
               </title>
               <caption>
                  <p>The contribution of active tobacco smoking to 45&#8211;74 yearold age-standardised mortality rates, and gaps in mortality rates, in1996&#8211;99, by ethnicity and education (with the latter as a marker for SEP)</p>
               </caption>
               <text>
                  <p>The contribution of active tobacco smoking to 45&#8211;74 year old age-standardised mortality rates, and gaps in mortality rates, in 1996&#8211;99, by ethnicity and education (with the latter as a marker for SEP). <b>Sources: </b>Data derived from: [75] and [27]. nMnP &#8211; non-M&#257;ori non-Pacific (ie, mainly "New Zealand European" ethnicity). See the footnotes to Table 1 for ethnicity definitions.</p>
               </text>
               <graphic file="1475-9276-5-14-2"/>
            </fig>
            <p>&#8226; mortality rates for M&#257;ori are 2&#8211;3 times greater than non-M&#257;ori/non-Pacific, compared to an approximately 40% higher mortality for people with no qualifications compared to post-school qualifications;</p>
            <p>&#8226; in <it>absolute </it>terms, the mortality rate attributable to smoking among both M&#257;ori and less educated groups is considerably greater than among non-M&#257;ori/non-Pacific and post-school educated people, respectively &#8211; a different perspective from considering the PAR% estimates in isolation;</p>
            <p>&#8226; in <it>absolute </it>terms, the gap in mortality rates between ethnic groups attributable to smoking is as great or greater than between educational groups &#8211; a different perspective from considering just the <it>percentage </it>contribution to gaps.</p>
            <p>As mentioned already, the estimates above are likely to be modest underestimates due to likely non-differential misclassification bias of smoking status. The analyses did not include the impact of exposure to second-hand smoke, which is more common among M&#257;ori and lower socioeconomic groups <abbrgrp><abbr bid="B14">14</abbr><abbr bid="B15">15</abbr></abbrgrp>. This would mean that percentage contributions of active and passive smoking combined to mortality are probably greater than given above. Figure <figr fid="F2">2</figr> also clearly demonstrates that ethnic gaps in mortality not explained by smoking are much greater than socioeconomic gaps in mortality not explained by smoking. This points to other determinants of health (eg, differential access to health services, racism) that must be more important for ethnic inequalities than socioeconomic inequalities in health.</p>
         </sec>
      </sec>
      <sec>
         <st>
            <p>What can be done to reduce health inequalities from tobacco in New Zealand?</p>
         </st>
         <p>Despite the apparently modest relative size of these tobacco-related gaps, their absolute magnitude means that eliminating them would still be very worthwhile. Reducing these tobacco-related gaps may also be achievable given the strong evidence base for traditional tobacco control interventions and the evidence supporting their cost-effectiveness <abbrgrp><abbr bid="B28">28</abbr><abbr bid="B29">29</abbr></abbrgrp>. Nevertheless, many other options for reducing health inequalities could still be progressed at the same time, including: more equitable income redistribution in New Zealand <abbrgrp><abbr bid="B30">30</abbr></abbrgrp>, improvements in educational levels, housing policies, policies to reduce unemployment and improving access to and through health services for low-income New Zealanders (eg, see Figure <figr fid="F3">3</figr>). Community-level interventions to enhance trust and promote safe environments have also been suggested for reducing inequalities and lowering smoking &#8211; given evidence that low social capital may be independently associated with higher smoking prevalence <abbrgrp><abbr bid="B31">31</abbr></abbrgrp>. Improving work conditions may also be relevant to reducing tobacco use disparities, given United States work in this area <abbrgrp><abbr bid="B32">32</abbr></abbrgrp>.</p>
         <fig id="F3">
            <title>
               <p>Figure 3</p>
            </title>
            <caption>
               <p>Simplified causal/intervention model for pathways between ethnicity and socioeconomic position to mortality</p>
            </caption>
            <text>
               <p>Simplified causal/intervention model for pathways between ethnicity and socioeconomic position to mortality. * Direct interpersonal racism and institutional racism probably has a diffuse impact on many causal processes represented by this diagram, including the unequal distribution of socioeconomic resources, the quantity and quality of "stress" and "psychosocial resources", "access to/access through the health system", and patterns of drug use &#8211; including smoking. There are New Zealand specific data on racism and health and racism and smoking [33, 34].</p>
            </text>
            <graphic file="1475-9276-5-14-3"/>
         </fig>
         <p>These actions would also probably help reduce ethnic inequalities in health, as (presumably) the type of mechanisms on the pathway from ethnicity to health are similar to those for the pathways from SEP to health (Figure <figr fid="F3">3</figr>). The important differences, though, are the role of racism and ethnicity and the mix of pathway mechanisms (eg, access to health services may be more relevant to ethnic inequalities in New Zealand <abbrgrp><abbr bid="B23">23</abbr><abbr bid="B24">24</abbr></abbrgrp>). Reducing discrimination could potentially assist in reducing smoking rates if the psychosocial stress associated with discrimination contributes to smoking given the New Zealand data on the adverse impacts of racism on health <abbrgrp><abbr bid="B33">33</abbr><abbr bid="B34">34</abbr></abbrgrp>. Also, more specific measures are required to continue to address past injustices (eg, through the Waitangi Tribunal). Fortunately, there is evidence that gaps between M&#257;ori and non-M&#257;ori are starting to decline for health, employment, educational and income achievement <abbrgrp><abbr bid="B4">4</abbr><abbr bid="B35">35</abbr><abbr bid="B36">36</abbr></abbrgrp>. This may partly reflect specific policy initiatives and/or be an outcome of broad economic and social trends.</p>
         <p>The need to reduce health inequalities attributable to smoking is recognised in the Ministry of Health's five-year plan for tobacco control which has specific targets for such inequalities <abbrgrp><abbr bid="B37">37</abbr></abbrgrp>. Some of the specific interventions that could be considered are detailed below and some of these are already included in the Ministry of Health's plan:</p>
         <sec>
            <st>
               <p>Enhanced tobacco regulation</p>
            </st>
            <p>There have been arguments in the New Zealand context for having a Tobacco Authority type agency <abbrgrp><abbr bid="B38">38</abbr></abbrgrp> with a public health mandate to control the marketing of tobacco. This approach has also been proposed by others internationally <abbrgrp><abbr bid="B39">39</abbr><abbr bid="B40">40</abbr></abbrgrp>. Such an agency could allow the nicotine market to be realigned to strongly favour (in terms of price and availability) pharmaceutical-grade nicotine, over smoked forms of tobacco. Such a market could also favour reduced-harmed tobacco products such as nasal or oral snuff, though the idea of health sector endorsement of such a market is controversial in New Zealand. Nevertheless, a switch to snuff could plausibly facilitate reductions in overall harm to the health of users <abbrgrp><abbr bid="B41">41</abbr><abbr bid="B42">42</abbr></abbrgrp> and facilitate quitting <abbrgrp><abbr bid="B43">43</abbr><abbr bid="B44">44</abbr></abbrgrp> and therefore health inequalities attributable to tobacco use. Any shift to smokeless forms of nicotine or tobacco would also be likely to reduce the health inequalities associated with different levels of exposure to second-hand smoke. A key aspect for maximising the impact for reducing inequalities would be the extent to which the price differential could be managed given the suggestive evidence that low-income and M&#257;ori populations are more price sensitive (see the discussion around taxation below). This shift to alternate forms of nicotine or tobacco could also be accelerated by increasingly tight restrictions and raising the price of smoked tobacco.</p>
            <p>In the long-term however, if a large proportion of low-income New Zealanders remained dependent on pharmaceutical nicotine or snuff &#8211; then this could still represent a drain on their financial resources (if the price was not kept relatively low). Such issues could be further explored by modelling work and studies on the price elasticities and acceptability of these alternative nicotine products to low-income New Zealanders.</p>
            <p>Finally, enhancing tobacco regulation will inevitably be a political decision. Debate and discussion is therefore essential not only among the tobacco control community, but also politicians and the public at large. It is imperative that tobacco control advocates reinforce at all times that ridding New Zealand of tobacco smoking will benefit all sectors of society, <it>and </it>reduce inequalities &#8211; a win-win situation.</p>
         </sec>
         <sec>
            <st>
               <p>Substantially enhanced comprehensive tobacco control policy</p>
            </st>
            <p>New Zealand could more intensively pursue all the key components of a comprehensive tobacco control programme (eg, tax policy, smokefree environments, and smoking cessation support &#8211; as detailed below). All these could be funded by increasing the relatively low level expenditure on tobacco control, currently less than 3% of tobacco tax revenue <abbrgrp><abbr bid="B45">45</abbr></abbrgrp>. Added to these interventions could be litigation against the tobacco industry by government and a more strongly industry-focused approach to tobacco control <abbrgrp><abbr bid="B46">46</abbr></abbrgrp>.</p>
         </sec>
         <sec>
            <st>
               <p>Tobacco taxation policy</p>
            </st>
            <p>There is some international evidence that tobacco taxes are relatively more effective in reducing tobacco consumption among low-income or poorly educated populations <abbrgrp><abbr bid="B47">47</abbr><abbr bid="B48">48</abbr><abbr bid="B49">49</abbr></abbrgrp>. There are also some New Zealand data to support this differential benefit for low-income groups and M&#257;ori <abbrgrp><abbr bid="B50">50</abbr><abbr bid="B51">51</abbr></abbrgrp>. Other New Zealand modelling work <abbrgrp><abbr bid="B52">52</abbr></abbrgrp> provides some justification for tobacco taxation, as it indicates that the harm from smoking for low-income New Zealanders greatly exceeds the likely harm from financial hardship that is associated with the tax. Despite this, there is concern regarding the potential for increased economic hardship (with subsequent impacts on health) among low-income groups from increased tobacco taxation in the future. If tobacco taxes were to be increased, it would be necessary and ethical <abbrgrp><abbr bid="B53">53</abbr></abbrgrp> for a greater proportion of the tax revenue to be used for smoking cessation support, especially for M&#257;ori, Pacific and low-income New Zealanders. Indeed, this country previously introduced a programme of providing heavily subsidised nicotine replacement therapy in the year of the last tax increase (ie, 2001).</p>
         </sec>
         <sec>
            <st>
               <p>Smokefree environments</p>
            </st>
            <p>In late 2004 a new smokefree law came into effect in New Zealand and the evidence to date is that it is working well <abbrgrp><abbr bid="B54">54</abbr><abbr bid="B55">55</abbr><abbr bid="B56">56</abbr></abbrgrp>. This law covers all indoor workplaces and hospitality settings which suggests that it should reduce exposure to second-hand smoke among low-income workers and patrons of venues such as bars, clubs, and casinos. In addition, recent government-funded mass media campaigns may be contributing to increasing smokefree homes among low-income families (though post-campaign follow-up data have not yet been published). There is some indirect evidence for benefit from such campaigns internationally on smokefree homes <abbrgrp><abbr bid="B57">57</abbr></abbrgrp>.</p>
            <p>The prevalence of smoking in cars amongst people from more deprived areas in New Zealand is significantly higher than less deprived areas <abbrgrp><abbr bid="B58">58</abbr></abbrgrp>. While some campaigns have incorporated the hazard from smoking in cars in New Zealand, these have been of low intensity. Nevertheless, laws have now been passed in other jurisdictions (eg, Arkansas, Louisiana and Puerto Rico) and this approach could be considered in New Zealand.</p>
         </sec>
         <sec>
            <st>
               <p>Mass media campaigns (smoking cessation)</p>
            </st>
            <p>There is evidence that mass media campaigns (both generic and those designed by M&#257;ori) are effective in stimulating calls to the national Quitline from M&#257;ori and other low-income New Zealanders who are the priority audiences for this service <abbrgrp><abbr bid="B59">59</abbr><abbr bid="B60">60</abbr></abbrgrp>. Evaluation work has also shown that culturally appropriate mass media campaigns are regarded as acceptable to a M&#257;ori audience <abbrgrp><abbr bid="B61">61</abbr><abbr bid="B62">62</abbr></abbrgrp>. A recently launched media campaign with a Pacific peoples focus <abbrgrp><abbr bid="B63">63</abbr></abbrgrp> has also successfully stimulated increased call rates to the Quitline [Personal communication, Helen Glasgow, Director Quit Group, 28 March 2006].</p>
         </sec>
         <sec>
            <st>
               <p>Smoking cessation services</p>
            </st>
            <p>The national free-phone Quitline service has been successful in reaching a M&#257;ori audience <abbrgrp><abbr bid="B60">60</abbr><abbr bid="B64">64</abbr></abbrgrp>. The popular uptake of heavily subsidised smoking cessation services provided via the Quitline <abbrgrp><abbr bid="B65">65</abbr></abbrgrp> also suggests that it is reaching low-income New Zealanders. However, the idea of building long-term relationships with smokers and recruiting them as volunteers to promote smoking cessation services <abbrgrp><abbr bid="B66">66</abbr></abbrgrp> has yet to be tried in this country.</p>
            <p>Culturally appropriate smoking cessation services such as the Aukati Kai Paipa services for M&#257;ori women have been evaluated and found to be acceptable and effective <abbrgrp><abbr bid="B67">67</abbr></abbrgrp>. New Zealand has also had some success with running quit and win contests <abbrgrp><abbr bid="B68">68</abbr></abbrgrp> which may differentially appeal to low-income smokers (although this aspect has not been studied). A randomised controlled trial of bupropion for M&#257;ori smokers has reported successful smoking cessation outcomes in this population <abbrgrp><abbr bid="B69">69</abbr></abbrgrp>.</p>
            <p>Other countries are also trying to reduce health inequalities associated with tobacco. A review of 16 studies that aimed to reduce smoking in low-income groups found that half of these had demonstrated effectiveness <abbrgrp><abbr bid="B70">70</abbr></abbrgrp>. Out of another nine studies that were not actually targeted at low-income groups, in five of these the intervention was at least as effective in low as in high-income groups. Nevertheless, in four of the studies, including one New Zealand study <abbrgrp><abbr bid="B71">71</abbr></abbrgrp>, the intervention was less effective for those in low-income groups. In particular, there is evidence from the United Kingdom that smoking cessation services are reaching disadvantaged communities <abbrgrp><abbr bid="B72">72</abbr></abbrgrp>, that the services to such communities are qualitatively better <abbrgrp><abbr bid="B73">73</abbr></abbrgrp>, and that these services are reducing inequalities in smoking prevalence rates <abbrgrp><abbr bid="B74">74</abbr></abbrgrp>.</p>
         </sec>
      </sec>
      <sec>
         <st>
            <p>Conclusion</p>
         </st>
         <p>There is extensive evidence that demonstrates that smoking prevalence is higher amongst those with low socioeconomic position (SEP), and M&#257;ori and Pacific peoples (compared to those of "New Zealand European" ethnicity) in the New Zealand setting. There are also many studies that indicate that the health burden attributable to tobacco is higher amongst these populations and that the associated relative health inequalities appear to be increasing. The estimated contributions of smoking to inequalities in mortality by SEP and ethnicity stand out relative to the many other drivers of health inequalities (ie, at 21% for SEP in men, and 8% for ethnicity in women). This should make the tobacco contribution worthy of the attention of policymakers, especially given the evidence for the effectiveness and cost-effectiveness of tobacco control interventions. Another reason for attention to this role for tobacco is the likelihood that, under business as usual, tobacco will probably grow in importance as a contributor (in relative terms) to health inequalities. Besides the ethical arguments for reducing inequalities to achieve justice, there are additional arguments in New Zealand for such actions. These include obligations under the Treaty of Waitangi for the government and the health sector and the need to address past harms associated with colonisation.</p>
         <p>There is some evidence from New Zealand and elsewhere for health sector actions that reduce smoking by low-income populations and indigenous peoples. These include tobacco taxation, thematically appropriate mass media campaigns, and appropriate smoking cessation support services. There is however, major scope for improvements in tobacco regulation and better resourcing of a more intensive and comprehensive tobacco control programme in this country. In particular, there is potential for a tighter regulatory framework that could rapidly shift the nicotine market towards pharmaceutical-grade nicotine (or smokeless products such as snuff) and away from smoked tobacco.</p>
         <p><b>Disclaimer: </b>The views of the authors do not necessarily reflect the views of their employing organisations &#8211; including the New Zealand Ministry of Health.</p>
      </sec>
      <sec>
         <st>
            <p>Competing interests</p>
         </st>
         <p>The author(s) declare that they have no competing interests.</p>
      </sec>
      <sec>
         <st>
            <p>Authors' contributions</p>
         </st>
         <p>This article was conceived by TB and MT. The first draft was written by NW and TB. All authors contributed to subsequent drafts and approved the final manuscript.</p>
      </sec>
   </bdy>
   <bm>
      <ack>
         <sec>
            <st>
               <p>Acknowledgements</p>
            </st>
            <p>This work was funded as part of contract between the New Zealand Census-Mortality Study (NZCMS), Wellington School of Medicine &amp; Health Sciences with Public Health Intelligence, New Zealand Ministry of Health. The NZCMS is part of the Health Inequalities Research Programme, principally funded by the Health Research Council of New Zealand. Helpful comments on the draft were received from three anonymous journal reviewers and three colleagues in New Zealand: Dr Ricci Harris, Dr Sarah Hill and Des O'Dea.</p>
         </sec>
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