<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>1413-8123</journal-id>
<journal-title><![CDATA[Ciência & Saúde Coletiva]]></journal-title>
<abbrev-journal-title><![CDATA[Ciênc. saúde coletiva]]></abbrev-journal-title>
<issn>1413-8123</issn>
<publisher>
<publisher-name><![CDATA[ABRASCO - Associação Brasileira de Saúde Coletiva]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1413-81232012001000012</article-id>
<article-id pub-id-type="doi">10.1590/S1413-81232012001000012</article-id>
<title-group>
<article-title xml:lang="pt"><![CDATA[Desigualdades de gênero na mortalidade por doenças crônicas não transmissíveis no Brasil]]></article-title>
<article-title xml:lang="en"><![CDATA[Gender inequalities in non communicable disease mortality in Brazil]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Stevens]]></surname>
<given-names><![CDATA[Antony]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Schmidt]]></surname>
<given-names><![CDATA[Maria Inês]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Duncan]]></surname>
<given-names><![CDATA[Bruce Bartholow]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
</contrib-group>
<aff id="A01">
<institution><![CDATA[,Universidade Federal do Rio Grande do Sul  ]]></institution>
<addr-line><![CDATA[Porto Alegre RS]]></addr-line>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>10</month>
<year>2012</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>10</month>
<year>2012</year>
</pub-date>
<volume>17</volume>
<numero>10</numero>
<fpage>2627</fpage>
<lpage>2634</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielosp.org/scielo.php?script=sci_arttext&amp;pid=S1413-81232012001000012&amp;lng=en&amp;nrm=iso&amp;tlng=en"></self-uri><self-uri xlink:href="http://www.scielosp.org/scielo.php?script=sci_abstract&amp;pid=S1413-81232012001000012&amp;lng=en&amp;nrm=iso&amp;tlng=en"></self-uri><self-uri xlink:href="http://www.scielosp.org/scielo.php?script=sci_pdf&amp;pid=S1413-81232012001000012&amp;lng=en&amp;nrm=iso&amp;tlng=en"></self-uri><abstract abstract-type="short" xml:lang="pt"><p><![CDATA[A carga de doença atribuída às doenças crônicas não transmissíveis (DCNT) está aumentando globalmente, sendo em geral maior em homens. O objetivo deste artigo é descrever os diferenciais por gênero na mortalidade e tendências por DCNT no Brasil. Taxas padronizadas de mortalidade foram calculadas para os anos 1991-2010 após correção por subregistro e causas mal definidas, empregando faixas etárias de cinco anos específicas para homens e mulheres. As tendências foram analisadas com modelos de regressão joinpoint. Em 2010 as taxas para todas as DCNTs (homens: 479/100000; mulheres: 333/100000) e para os principais grupos de DCNTs (doenças cardiovasculares, câncer, doenças crônicas respiratórias e outra doenças crônicas) eram mais altas em homens. Entre 1991-2010, observou-se um declínio nas taxas padronizadas de mortalidade, em homens e mulheres, iniciando em 1993, e tornado-se menos intenso em anos recentes. A probabilidade incondicional de morrer entre as idades de 30 e 70 devido a um dos quatro principais grupos de DCNTs baixou de 1993 até 2010 de 32,3% para 22,8% em homens, e de 23,5% para 15,4% em mulheres. Concluindo, apesar do notável declínio nas taxas padronizadas de mortalidade por DCNT nas últimas duas décadas, o predomínio em homens persiste e, a se manter essa tendência, em termos relativos, irá aumentar.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[The relative burden due to non communicable diseases (NCD) is increasing worldwide and has been shown to be generally greater for men than women. The objective of this paper is to describe gender differences in NCD mortality rates and trends in Brazil. Standardized mortality rates for the years 1991-2010 were corrected for sub notification and ill defined causes of death and calculated using sex specific five year age grades. Trends in standardized mortality were studied using joinpoint regression models. In 2010, rates for NCDs (men: 479/100000; women: 333/100000) and for most major NCD categories (cardiovascular diseases, cancer, chronic respiratory diseases and other chronic diseases) were higher for men than women. Age standardized mortality rates declined for both sexes over the period, beginning in 1993 and attenuating in more recent years. From its peak in 1993 to 2010, the unconditional probability of dying between the ages of 30 and 70 due to one of the four principal NCD groupings decreased for men from 32.3% to 22.8%; for women, from 23.5% to 15.4%. In conclusion, age standardized NCD mortality, though decreasing dramatically over the past two decades in Brazil, remains notably greater in men than in women and, this difference, in relative terms, will increase if these trends continue.]]></p></abstract>
<kwd-group>
<kwd lng="pt"><![CDATA[Doença crônica]]></kwd>
<kwd lng="pt"><![CDATA[Brasil]]></kwd>
<kwd lng="pt"><![CDATA[Mortalidade]]></kwd>
<kwd lng="pt"><![CDATA[Sexo]]></kwd>
<kwd lng="en"><![CDATA[Chronic disease]]></kwd>
<kwd lng="en"><![CDATA[Brazil]]></kwd>
<kwd lng="en"><![CDATA[Mortality]]></kwd>
<kwd lng="en"><![CDATA[Sex]]></kwd>
</kwd-group>
</article-meta>
</front><body><![CDATA[ <p align="right"><font size="2" face="Verdana, Arial, Helvetica, sans-serif"><b>ARTIGO</b> ARTICLE</font></p>     <p>&nbsp;</p>     <p><font size="4" face="Verdana, Arial, Helvetica, sans-serif"><b>Desigualdades   de g&ecirc;nero na mortalidade por doen&ccedil;as   cr&ocirc;nicas n&atilde;o transmiss&iacute;veis no Brasil</b></font></p>     <p>&nbsp;</p>     <p><font size="3" face="Verdana, Arial, Helvetica, sans-serif"><b>Gender   inequalities in non communicable disease mortality  in   Brazil</b></font></p>     <p>&nbsp;</p>     <p>&nbsp;</p>     <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif"><b>Antony   Stevens; Maria   In&ecirc;s Schmidt; Bruce   Bartholow Duncan</b></font></p>     <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Programa de P&oacute;s-Gradua&ccedil;&atilde;o em   Epidemiologia, Universidade Federal do Rio Grande do Sul. R. Ramiro Barcelos   2600/414. 90035-003&nbsp; Porto Alegre&nbsp; RS. <a href="mailto:maria.schmidt@ufrgs.br">maria.schmidt@ufrgs.br</a></font></p>     <p>&nbsp;</p>     ]]></body>
<body><![CDATA[<p>&nbsp;</p> <hr size="1" noshade>     <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif"><b>RESUMO</b></font></p>     <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">A carga de   doen&ccedil;a atribu&iacute;da &agrave;s doen&ccedil;as cr&ocirc;nicas n&atilde;o transmiss&iacute;veis (DCNT) est&aacute; aumentando   globalmente, sendo em geral maior em homens. O objetivo deste artigo &eacute;   descrever os diferenciais por g&ecirc;nero na mortalidade e tend&ecirc;ncias por DCNT no   Brasil. Taxas padronizadas de mortalidade foram calculadas para os anos   1991-2010 ap&oacute;s corre&ccedil;&atilde;o por subregistro e causas mal definidas, empregando   faixas et&aacute;rias de cinco anos espec&iacute;ficas para homens e mulheres. As tend&ecirc;ncias   foram analisadas com modelos de regress&atilde;o joinpoint. Em 2010 as taxas para   todas as DCNTs (homens: 479/100000; mulheres: 333/100000) e para os principais   grupos de DCNTs (doen&ccedil;as cardiovasculares, c&acirc;ncer, doen&ccedil;as cr&ocirc;nicas   respirat&oacute;rias e outra doen&ccedil;as cr&ocirc;nicas) eram mais altas em homens. Entre   1991-2010, observou-se um decl&iacute;nio nas taxas padronizadas de mortalidade, em   homens e mulheres, iniciando em 1993, e tornado-se menos intenso em anos   recentes. A probabilidade incondicional de morrer entre as idades de 30 e 70   devido a um dos quatro principais grupos de DCNTs baixou de 1993 at&eacute; 2010 de   32,3% para 22,8% em homens, e de 23,5% para 15,4% em mulheres. Concluindo,   apesar do not&aacute;vel decl&iacute;nio nas taxas padronizadas de mortalidade por DCNT nas   &uacute;ltimas duas d&eacute;cadas, o predom&iacute;nio em homens persiste e, a se manter essa   tend&ecirc;ncia, em termos relativos, ir&aacute; aumentar.</font></p>     <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif"><b>Palavras-chave:&nbsp; </b><i>Doen&ccedil;a   cr&ocirc;nica, Brasil, Mortalidade, Sexo</i></font></p> <hr size="1" noshade>     <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif"><b>ABSTRACT</b></font></p>     <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">The relative burden due to non communicable   diseases (NCD) is increasing worldwide and has been shown to be generally   greater for men than women. The objective of this paper is to describe gender   differences in NCD mortality rates and trends in Brazil. Standardized mortality   rates for the years 1991-2010 were corrected for sub notification and ill   defined causes of death and calculated using sex specific five year age grades.   Trends in standardized mortality were studied using joinpoint regression   models. In 2010, rates for NCDs (men: 479/100000; women: 333/100000) and for   most major NCD categories (cardiovascular diseases, cancer, chronic respiratory   diseases and other chronic diseases) were higher for men than women. Age   standardized mortality rates declined for both sexes over the period, beginning   in 1993 and attenuating in more recent years. From its peak in 1993 to 2010,   the unconditional probability of dying between the ages of 30 and 70 due to one   of the four principal NCD groupings decreased for men from 32.3% to 22.8%; for   women, from 23.5% to 15.4%. In conclusion, age standardized NCD mortality,   though decreasing dramatically over the past two decades in Brazil, remains   notably greater in men than in women and, this difference, in relative terms,   will increase if these trends continue.</font></p>     <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif"><b>Key words:</b>&nbsp; <i>Chronic disease, Brazil,   Mortality, Sex</i></font></p> <hr size="1" noshade>     <p>&nbsp;</p>     <p>&nbsp;</p>     <p><font size="3" face="Verdana, Arial, Helvetica, sans-serif"><b>Introduction</b></font></p>     ]]></body>
<body><![CDATA[<p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">The   burden due to non-communicable diseases (NCDs) is increasing world-wide, posing   a great threat to the development of the nations<sup>1,2</sup>. If current   tendencies continue, a recent study estimates that the cost of NCD to the   world&acute;s economies over the next two decades could reach US$47 trillion; and for   Brazil, the annual cost could reach 4% of the gross national product<sup>3</sup>.   These global challenges, with particular reference to the low- and middle-income   countries, have been widely discussed in recent years, culminating with the   High-Level meeting of Heads of State held at the United Nations in September,   2011<sup>4</sup>. </font></p>     <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Brazil has developed a strategic plan to deal   with the NCD burden<sup>5</sup>. The main lines of the plan are based on the   Action Plan developed by the World Health Organization (WHO)<sup>6</sup>.   Attention is focused on four main groups of diseases (cardiovascular, cancer,   chronic respiratory and diabetes). As an indicator to measure the progress   towards the established goals related to mortality from NCD, the WHO has   proposed using the unconditional probability of a premature death due to these   four groups, defined as occurring between the ages 30 and 70<sup>7</sup>.</font></p>     <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">In Brazil NCD mortality is below that estimated   in 2008 for most low income countries, but greater than that estimated for high   income countries and also most Latin American countries<sup>8</sup>. A clear   decline in NCD mortality has been observed when examining age-adjusted trends.   The decline started in the 1990&acute;s and persisted up to now, although at a lower   rate in more recent years<sup>9</sup>. To be able to compare these rates over   time and across groups, these mortality analyses took into account corrections   for sub notification and ill-defined causes of death. </font></p>     <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Notably, little information is available   regarding gender inequalities in NCDs mortality and trends. From the WHO site,   estimates indicate an almost uniformly greater mortality due to NCDs across   nations<sup>8</sup>. The objective of this paper is to describe gender   differences in mortality trends due to NCDs in Brazil. Additionally, given the   importance of developing heath indicators for NCD prevention globally, we will   estimate also, separately by sex, the unconditional probability of dying due to   the four main NCD between ages 30 and 70, which is likely to be the indicator   to be used in the years to follow.</font></p>     <p>&nbsp;</p>     <p><font size="3" face="Verdana, Arial, Helvetica, sans-serif"><b>Methods</b></font></p>     <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Records   of mortality were obtained from the Ministry of Health mortality information   system (SIM; Sistema de Informa&ccedil;&atilde;o sobre Mortalidade). In this system causes of   death are recorded according to the ICD-9 codes from 1991-1995 and to ICD-10   codes from 1996 until the present. The codes were divided into the major   disease groups according to the WHO scheme<sup>10</sup>.</font></p>     <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">SIM became a computer-based system in 1979 and   covers the whole of the national territory. The quality of the recorded information   has improved consistently over the years, both from the point of view of   coverage as well as the proportion of deaths due to ill-defined causes. In   order to make valid comparisons across the years, the numbers of registered NCD   deaths were corrected for sub-notification and ill-defined causes. </font></p>     <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">A mixed approach to estimate mortality system   coverage was used. For 1991 a model life-table separated by 5-year age-groups   (with 80+ being the final open ended group), regions and sexes furnished by the   IBGE was used<sup>11</sup>. Data obtained from field-work carried out for the   year 2008<sup>12</sup> provided empirically-based estimates of coverage for the   years 2000-2010, with a single estimate for each state for each year applied to   both sexes and to all age-grades. For the years 1992-1999 values were obtained   using a linear interpolation between estimates for the year 1991 and those for   the year 2000. </font></p>     <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Differently from previous analyses<sup>13</sup> the model life-table regional value generated correction factors (equal to the   ratio of expected/observed deaths) for sub notification at the state rather   than the regional level. Since only one sub notification correction factor   value was available for each of the states for the year 2000, the values   available for each state for 1991 in 34 strata (17 age-grades x 2 sexes) are   converged to this one value. When the correction factor is greater than 1   (number of estimated deaths was greater than those observed), a corrected   number of deaths was obtained multiplying the observed number by this   correction factor ratio.</font></p>     ]]></body>
<body><![CDATA[<p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">The deaths due to ill-defined causes were   redistributed to the other disease categories using the methodology proposed by   Mathers et al.<sup>10</sup> This assumes that the ill-defined causes of death   may be divided in the same proportions as those due to natural, non-external,   causes. Thus, for each year and for each strata defined by sex, state, and   age-grade, the number of deaths due to natural causes was modified by   multiplying it by the following formula:</font></p>     <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">(t-e)/((t-e)-d)</font></p>     <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">where </font></p>     <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">t is the total number of deaths in the strata,</font></p>     <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">e is the number of deaths in the strata due to   external causes, and</font></p>     <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">d is the number of ill-defined deaths in the   strata.</font></p>     <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">This correction was not applied to deaths due to   external causes. </font></p>     <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Mortality rates were calculated per 100.000   inhabitants. The population figures, furnished by IBGE, were obtained from the   DATASUS site. For the years 1991, 2000 and 2010 the numbers of residents are derived   from censuses. For the year 1996 the numbers are based on the IBGE population   count. Linear interpolation, done at the strata level, was used to obtain the   values for the intervening years. </font></p>     <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">The mortality rates were calculated for each   sex-specific five-year age-grade, with 80+ being the final open ended group.   The rates were then standardized according to the direct method using the WHO   standard population<sup>14</sup>. Trends in mortality rates were analyzed by   joinpoint regression models using the Joinpoint Software, available from the   National Cancer Institute<sup>15</sup>. Models are fit to the data so as to   allow for testing of whether an apparent change in trend is statistically   significant. The trend is computed in segments whose start and end are   determined to best fit the data. These segments are connected together at   "joinpoints"<sup>16</sup>. </font></p>     <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">The unconditional probability of death due to the   four disease groups &#150; cardiovascular disease, cancer, chronic respiratory   disease and diabetes &#150; was obtained using a formula provided by the WHO. The   first step consists in calculating the mortality rates for each five year   interval:</font></p>     ]]></body>
<body><![CDATA[<p align="center"><img src="/img/revistas/csc/v17n10/a12img01.jpg"></p>     <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">The usual demographic practice of turning this   rate into a probability was followed using the following formula:</font></p>     <p align="center"><img src="/img/revistas/csc/v17n10/a12img02.jpg"></p>     <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">The individual probabilities are then combined   with the following formula to obtain an estimate for the interval as a whole:</font></p>     <p align="center"><img src="/img/revistas/csc/v17n10/a12img03.jpg"></p>     <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">This is the statistic which is then interpreted   to be the unconditional probability of death between the ages of 30 and 70. </font></p>     <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">The analyses described in this paper are part of   a project approved by the Hospital das Cl&iacute;nicas de Porto Alegre Ethics   Committee.</font></p>     <p>&nbsp;</p>     <p><font size="3" face="Verdana, Arial, Helvetica, sans-serif"><b>Results</b></font></p>     <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">In   the year 2010, a total of 1,132,732 deaths were recorded, 646,069 (57.0%) for   men and 486,663 (43%) for women (<a href="/img/revistas/csc/v17n10/a12tab01.jpg">Table 1</a>). Of the total number of the men,   409,484 (63.3%) had an NCD as a basic cause of death. Of the total number of   the women, 362,100 (74.4%) had a NCD as a basic cause of death. After   correction for sub notification and for ill defined causes of death, a total of   1,209,676 records were available. <a href="/img/revistas/csc/v17n10/a12tab01.jpg">Table 1</a> also shows the proportional mortality   for groups of diseases in 2010 for men and women, before and after correction   for sub notification and ill defined causes of death. </font></p>     ]]></body>
<body><![CDATA[<p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">The remaining results will always be presented   with correction for sub notification and ill defined causes of death. For   women, 80.2% of all deaths were due to NCD, while for men this percentage was   69.0%. The main reason for the difference is the higher proportion of external   causes of death observed for men (18.2 vs. 5.0%). Considering NCD, for men and   women, the main causes of death were cardiovascular diseases (28.8% men, 34.4%   women) and cancer (15.8% men, 17.8% women). The percentages for chronic   respiratory disease are 5.9% men, 6.2% women; and for diabetes 4.1% men, 6.9%   women. The percentages for other chronic diseases are 14.5% men and 14.9%   women. </font></p>     <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif"><a href="/img/revistas/csc/v17n10/a12tab02.jpg">Tables 2</a> and <a href="/img/revistas/csc/v17n10/a12tab03.jpg">3</a> complement these numbers, showing   NCD and total deaths and the mortality rates separately by sex for the years   1991-2010. In 1991 the total number of deaths was 1,049,229; 675756 (73.8%)   were due to NCDs, 367530 (54.4%) among men and 308226 (45.6%) among women. In   2000 the total number of deaths was 1,047,365; 751,859 (71.8%) were due to   NCDs, 407,395 (54.2%) among men and 344,464 (45.8%) among women. </font></p>     <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">It can also be seen from <a href="/img/revistas/csc/v17n10/a12tab02.jpg">Tables 2</a> and <a href="/img/revistas/csc/v17n10/a12tab03.jpg">3</a> that   between 1991 and 2010 the population of men increased 29% (from 72,485,122 to   93,406,990) and the total of NCD deaths for men increased 30% (from 367,530 to   477,175). For women the population increase was 31% (from 74,340,353 to   97,348,809) and the total of NCD deaths for women increased 35% (from 308,226,   to 416,131). </font></p>     <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">The proportional mortality for men and women   increased steadily from 1991 to 2010. The crude NCD mortality rate did not   change significantly during this period (507/100.000 to 511/100.000) for men   and (415/100.000 to 427/100.000) for women. The crude rate peaked in 1993 for   both men and women. </font></p>     <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Nevertheless after the direct age   standardization, the mortality rate for both sexes underwent a steady decline   during this period: 28% for men (from 838/100.000 to 601/100.000); and 33% for   women (615/100.000 to 409/100.000). </font></p>     <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">An analysis of these trends using joinpoint   regression models shows (<a href="#fig01">Figure 1</a>) that, although points of inflexion were   somewhat different for men and women, for both the decline began in 1993 and   was greater in earlier than in more recent years. The latest observable trends   were an annual decline for men of 0.79%, and for women, of 1.0%.</font></p>     <p><a name="fig01" id="fig01"></a></p>     <p>&nbsp;</p>     <p align="center"><img src="/img/revistas/csc/v17n10/a12fig01.jpg"></p>     <p>&nbsp;</p>     ]]></body>
<body><![CDATA[<p><font size="2" face="Verdana, Arial, Helvetica, sans-serif"><a href="/img/revistas/csc/v17n10/a12fig02.jpg">Figure 2</a> shows that rates for most categories &#150;   cardiovascular diseases, cancer, chronic respira&shy;tory diseases and other NCD &#150;   are higher for men than for women. For both sexes the most important decline   over the period occurred with cardiovascular disease. The predominance of   cardiovascular disease in these graphs masks the fact that important falls   occurred with chronic respiratory disease after 1998 (men) and 1996 (women). </font></p>     <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif"><a href="#fig03">Figure 3</a> shows the probability of dying due to   the main causes of NCD death at ages 30 to 70 years for men and women. A   joinpoint analysis shows that for men the probability of death from 1993 to   present date has declined by 2.08% per year. For women the decline from 1994 to   2006 was 2.77% per year but at present it is 1.62% per year. When both sexes are   combined, the decline from 2006 to the present is 1.54% per year.</font></p>     <p><a name="fig03" id="fig03"></a></p>     <p>&nbsp;</p>     <p align="center"><img src="/img/revistas/csc/v17n10/a12fig03.jpg"></p>     <p>&nbsp;</p>     <p><font size="3" face="Verdana, Arial, Helvetica, sans-serif"><b>Discussion</b></font></p>     <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Little   has been done to estimate gender inequalities in NCD mortality, particularly in   low or middle income countries. Our results clearly show that NCD is the main   cause of death for both men and women. The crude NCD mortality rate did not   change significantly between 1991 and 2010 for men (507/100.000 to 511/100,000)   and (415/100,000 to 427/100,000) for women. However, important declines in   age-standardized NCD mortality were seen during this period for men (28%, from   838/100.000 to 601/100.000) and for women (33%, 615/100.000 to 409/100.000).   (<a href="#fig01">Figure 1</a>) The inflection points identified in the joinpoint analyses indicate   that the rate of decline is diminishing across the period, for both men and   women. These findings are similar to those previously reported<sup>9,17</sup> using slightly different methodologies for correction for sub notification. </font></p>     <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Notably, age-standardized NCD mortality rates   were always higher for men than for women, except for diabetes. In 1991, the   ratio of mortality rates in men and women was 1.36 and, by 2010, this had   increased to 1.47. The World Health Organization reports mortality rates from   NCD for men and women around the world<sup>8</sup>. The ratio of these rates in   men and women is generally between 1 and 2. Very few countries, mainly very   small ones, have rates less than 1, and a few countries, mostly those belonging   to the former Soviet Union, have rates greater than 2. </font></p>     <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Why are NCD rates higher in men than in women?   Empirically, the two main causes of death are cardiovascular and cancer; and we   found both to be higher in men (<a href="/img/revistas/csc/v17n10/a12fig02.jpg">Figure 2</a>). The most common cause of cancer   death, men and women combined, is lung cancer, mortality rates from which are   approximately double in men compared to women<sup>18</sup>. This is consistent   with the greater prevalence of smoking in men over the last decades<sup>19</sup>. </font></p>     ]]></body>
<body><![CDATA[<p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">In Brazil, similar increased overall mortality   rates have been described for men from 1980 to 2005, and the same was noted for   preventable causes of death<sup>20</sup>. Notably, higher rates of mortality,   in men than women, which have been recorded for centuries<sup>21</sup>.</font></p>     <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">The global challenge faced by the rising burden   of NCDs is enormous. As has been emphasized by WHO<sup>1,2</sup>, the burden   will always be more unfavorable to countries and peoples with fewer resources.   Understanding and confronting the observed gender inequality is also of   paramount importance in meeting the challenge. In Brazil, in 2010, the   unconditional probability of dying from the four main categories of NCD between   the ages 30 to 70 years is about 22.8% for men and 15.4 % for women. Further   investigation is warranted regarding possible explanations for differential   mortality. Are they related to higher risk factors in men (smoking, alcohol   drinking)? Are they a result of greater occupational exposures? Could they be   due to less chronic medical treatment (blood pressure, diabetes and cholesterol   control)? Could they be caused by delayed diagnosis and treatment of fatal   condition such as acute myocardial infarction, stroke and cancer? </font></p>     <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Although corrections for sub notification and ill   defined cause of death will continue to be necessary in analyses of mortality   in Brazil, this should become less important over time, assuming that current   improvements in both coverage and quality of death coding will continue.   However, to permit analysis of past trends we will always need to rely on some   type of correction. Thus, improvements in our understanding of the declines may   benefit from further refinement in methods. For example, the estimation of   coverage using the model life table approach in 1991 might be reviewed.   Additional investigation of current rates of sub notification may improve   current estimates of the decline. Nevertheless, the joinpoint analysis here   presented indicates that declines have lessened in recent years. </font></p>     <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">In conclusion, NCD mortality is considerably   higher in men than in women, despite the declines observed for both over the   last two decades. This scenario, coupled with the greater risk of external   causes of death in men, forecasts an increasingly greater gender differential   in premature mortality. This is a remarkable challenge to overcome.</font></p>     <p>&nbsp;</p>     <p><font size="3" face="Verdana, Arial, Helvetica, sans-serif"><b>Collaborations</b></font></p>     <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">A   Stevens, MI Schmidt and BB Duncan participated in the design, analyses and   interpretation. A Stevens created the computational system for the analyses.</font></p>     <p>&nbsp;</p>     <p><font size="3" face="Verdana, Arial, Helvetica, sans-serif"><b>References</b></font></p>     <!-- ref --><p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">1. World Health Organization (WHO). <i>Global   Status Report on noncommunicable diseases 2010</i> &#91;Homepage at Internet&#93;. WHO. 2011 &#91;cited 2012 Jul 14&#93;. Available at: <a href="http://www.who.int/chp/ncd_global_status_report/en/" target="_blank">http://www.who.int/chp/ncd_global_status_report/en/</a></font>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=1642049&pid=S1413-8123201200100001200001&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">2. World Health Organization (WHO). <i>Preventing   chronic diseases: a vital investment</i> &#91;Book at   Internet&#93;. Geneva: WHO; 2005 &#91;cited 2012 Jul 14&#93;. Available at: <a href="http://www.who.int/chp/chronic_disease_report/full_report.pdf" target="_blank">http://www.who.int/chp/chronic_disease_report/full_report.pdf</a></font>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=1642050&pid=S1413-8123201200100001200002&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">3. Bloom DE, Cafiero ET, Jan&eacute;-Llopis E,   Abrahams-Gessel S, Bloom LR, Fathima S, Feigl AB, Gaziano T, Mowafi M, Pandya   A, Prettner K, Rosenberg L, Seligman B, Stein AZ, Weinstein C. <i>The     Global Economic Burden of Non-communicable Diseases</i>. Geneva:   World Economic Forum; 2011.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=1642051&pid=S1413-8123201200100001200003&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --> </font></p>     <!-- ref --><p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">4. United Nations (UN). High-level Meeting on   Non-communicable Diseases &#91;Homepage at Internet&#93;. <i>General     Assembly of the United Nations</i>. 2011 &#91;cited 2012 Jul 14&#93;.   Available at: <a href="http://www.un.org/en/ga/president/65/issues/ncdiseases.shtml/" target="_blank">http://www.un.org/en/ga/president/65/issues/ncdiseases.shtml/</a></font>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=1642053&pid=S1413-8123201200100001200004&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">5. Brasil. Minist&eacute;rio da Sa&uacute;de (MS). <i>Plano de   A&ccedil;&otilde;es Estrat&eacute;gicas Para o Enfrentamento das Doen&ccedil;as Cr&ocirc;nicas N&atilde;o Transmiss&iacute;veis   (DCNT) no Brasil, 2011-2022</i>. Bras&iacute;lia: MS; 2011.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=1642054&pid=S1413-8123201200100001200005&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --> </font></p>     <!-- ref --><p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">6. World Health Organization (WHO). <i>2008-2013   Action Plan for the Global Strategy for the Prevention and Control of   Noncommunicable Diseases</i> &#91;Book at Internet&#93;. Geneva:   WHO; 2009 &#91;cited 2012 Jul 14&#93;. Available at: <a href="http://whqlibdoc.who.int/publications/2009/9789241597418_eng.pdf" target="_blank">http://whqlibdoc.who.int/publications/2009/9789241597418_eng.pdf</a></font>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=1642056&pid=S1413-8123201200100001200006&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">7. World Health Organization (WHO). <i>Monitoring   framework and targets for the prevention and control of NCDs</i> &#91;Homepage at Internet&#93;. WHO. 2012 &#91;cited 2012 Jul 14&#93;. Available at: <a href="http://www.who.int/nmh/events/2011/consultation_dec_2011/en/" target="_blank">http://www.who.int/nmh/events/2011/consultation_dec_2011/en/</a></font>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=1642057&pid=S1413-8123201200100001200007&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">8. World Health Organization (WHO).<i> Global Health Observatory Data Repository</i> &#91;Homepage at Internet&#93;. WHO. 2011 &#91;cited 2012 Jul 16&#93;. Available at: <a href="http://apps.who.int/ghodata/" target="_blank">http://apps.who.int/ghodata/</a></font>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=1642058&pid=S1413-8123201200100001200008&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">9. Duncan BB, Stevens A, Iser BPM, Malta DC, Silva GA, Schmidt   MI. Mortalidade por doen&ccedil;as cr&ocirc;nicas no Brasil: situa&ccedil;&atilde;o em 2009 e tend&ecirc;ncias   de 1991 a 2009. In: Brasil. Minist&eacute;rio da Sa&uacute;de (MS). <i>Sa&uacute;de     Brasil 2010</i> &#91;Documento na Internet&#93;. Bras&iacute;lia: MS; 2011. &#91;cited 2012 Jul   14&#93;. p. 117-134. Available at: <a href="http://portal.saude.gov.br/portal/arquivos/pdf/cap_5_saude_brasil_2010.pdf" target="_blank">http://portal.saude.gov.br/portal/arquivos/pdf/cap_5_saude_brasil_2010.pdf</a></font>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=1642059&pid=S1413-8123201200100001200009&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">10. Mathers CD, Bernard C, Iburg KM, Inoue M, Fat DM,   Shibuya K, Stein C, Tomijima N, Xu H. <i>Global     Burden of Disease in 2002</i>: data sources, methods and   results &#91;Book at Internet&#93;. Geneva: WHO; 2003 &#91;cited 2012 jul 14&#93;. Available   at: <a href="http://www.who.int/healthinfo/paper54.pdf" target="_blank">http://www.who.int/healthinfo/paper54.pdf</a></font>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=1642060&pid=S1413-8123201200100001200010&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">11. Albuquerque FRP, Senna JR. <i>T&aacute;buas de Mortalidade por   sexo e grupos de idade</i>: Grandes Regi&otilde;es e Unidades da Federa&ccedil;&atilde;o de   1980, 1991 e 2000. Rio de Janeiro: IBGE; 2005.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=1642061&pid=S1413-8123201200100001200011&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --> </font></p>     <!-- ref --><p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">12. Szwarcwald CL, Morais Neto OL, Frias PG, Souza J&uacute;nior PRB de,   Escalante JJC, Lima RB de, Viola RC. Busca ativa de &oacute;bitos e nascimentos no   Nordeste e na Amaz&ocirc;nia Legal: Estima&ccedil;&atilde;o das coberturas do SIM e dos Sinasc nos   munic&iacute;pios brasileiros. In: Brasil. Minist&eacute;rio da Sa&uacute;de (MS). <i>Sa&uacute;de     Brasil 2010</i>. Bras&iacute;lia: MS; 2011. p. 117-134.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=1642063&pid=S1413-8123201200100001200012&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --> </font></p>     <!-- ref --><p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">13. Schmidt M, Duncan B, Stevens A, Luft V, Iser BPM, Moura L,   Malta DC. Doen&ccedil;as Cr&ocirc;nicas n&atilde;o transmiss&iacute;veis no Brasil: mortalidade, morbidade   e fatores de risco. In: Brasil. Minist&eacute;rio da Sa&uacute;de (MS). <i>Sa&uacute;de     Brasil 2009</i>: uma an&aacute;lise da situa&ccedil;&atilde;o de sa&uacute;de e da agenda nacional e   internacio&shy;nal de prioridades em sa&uacute;de. Bras&iacute;lia: MS; 2010.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=1642065&pid=S1413-8123201200100001200013&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --> </font></p>     <!-- ref --><p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">14. Ahmad O, Boschi-Pinto C, Lopez A, Murray C,   Lozano R, Inoue M. <i>Age standardization of rates</i>:   a new WHO standard. Geneva: WHO; 2001.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=1642067&pid=S1413-8123201200100001200014&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --> </font></p>     <!-- ref --><p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">15. National Cancer Institute. Joinpoint Regression   Program &#91;Homepage at Internet&#93;<i>. Surveillance Research Program</i>.   2012 &#91;cited 2012 Jul 16&#93;. Available at: <a href="http://surveillance.cancer.gov/joinpoint/" target="_blank">http://surveillance.cancer.gov/joinpoint/</a></font>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=1642069&pid=S1413-8123201200100001200015&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">16. Kim H-J, Fay MP, Feuer EJ, Midthune DN.   Permutation tests for joinpoint regression with applications to cancer rates. <i>Stat     Med</i> 2000; 19(3):335-351.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=1642070&pid=S1413-8123201200100001200016&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --> </font></p>     <!-- ref --><p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">17. Schmidt MI, Duncan BB, e Silva GA, Menezes AM,   Monteiro CA, Barreto SM, Chor D, Menezes PR. Chronic non-communicable diseases   in Brazil: burden and current challenges. <i>The Lancet</i> 2011; 377(9781):1949-1961.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=1642072&pid=S1413-8123201200100001200017&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --> </font></p>     <!-- ref --><p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">18. Silva GA, Noronha CP, Santos MO, Oliveira JFP. Diferen&ccedil;as de   g&ecirc;nero na tend&ecirc;ncia de mortalidade por c&acirc;ncer de pulm&atilde;o nas macrorregi&otilde;es   brasileiras. <i>Rev Bras Epidemiol</i> 2008;   11(3):411-419.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=1642074&pid=S1413-8123201200100001200018&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --> </font></p>     <!-- ref --><p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">19. Monteiro CA, Cavalcante TM, Moura EC, Claro RM,   Szwarcwald CL. Population-based evidence of a strong decline in the prevalence   of smokers in Brazil (1989-2003). <i>Bull World Health Organ</i>.   2007; 85(7):527-534.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=1642076&pid=S1413-8123201200100001200019&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --> </font></p>     <!-- ref --><p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">20. Abreu DMX de, C&eacute;sar CC, Fran&ccedil;a EB. Gender   differences in avoidable mortality in Brazil (1983-2005).<i> Cad Sa&uacute;de P&uacute;bl</i>. 2009; 25(12):2672-2682.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=1642078&pid=S1413-8123201200100001200020&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --> </font></p>     ]]></body>
<body><![CDATA[<!-- ref --><p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">21. Kalben BB. Why men die younger: causes of   mortality differences by sex. <i>N Am Actuar J</i> 2000; 5(4):83-116.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=1642080&pid=S1413-8123201200100001200021&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --> </font></p>     <p>&nbsp;</p>     <p>&nbsp;</p>     <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif">Artigo   apresentado em 02/08/2012<br />   Aprovado em 28/08/2012</font></p>      ]]></body><back>
<ref-list>
<ref id="B1">
<label>1</label><nlm-citation citation-type="book">
<collab>World Health Organization</collab>
<source><![CDATA[Global Status Report on noncommunicable diseases 2010]]></source>
<year>2011</year>
<publisher-name><![CDATA[WHO]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B2">
<label>2</label><nlm-citation citation-type="book">
<collab>World Health Organization</collab>
<source><![CDATA[Preventing chronic diseases: a vital investment]]></source>
<year>2005</year>
<publisher-loc><![CDATA[Geneva ]]></publisher-loc>
<publisher-name><![CDATA[WHO]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B3">
<label>3</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bloom]]></surname>
<given-names><![CDATA[DE]]></given-names>
</name>
<name>
<surname><![CDATA[Cafiero]]></surname>
<given-names><![CDATA[ET]]></given-names>
</name>
<name>
<surname><![CDATA[Jané-Llopis]]></surname>
<given-names><![CDATA[E]]></given-names>
</name>
<name>
<surname><![CDATA[Abrahams-Gessel]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Bloom]]></surname>
<given-names><![CDATA[LR]]></given-names>
</name>
<name>
<surname><![CDATA[Fathima]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Feigl]]></surname>
<given-names><![CDATA[AB]]></given-names>
</name>
<name>
<surname><![CDATA[Gaziano]]></surname>
<given-names><![CDATA[T]]></given-names>
</name>
<name>
<surname><![CDATA[Mowafi]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Pandya]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Prettner]]></surname>
<given-names><![CDATA[K]]></given-names>
</name>
<name>
<surname><![CDATA[Rosenberg]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
<name>
<surname><![CDATA[Seligman]]></surname>
<given-names><![CDATA[B]]></given-names>
</name>
<name>
<surname><![CDATA[Stein]]></surname>
<given-names><![CDATA[AZ]]></given-names>
</name>
<name>
<surname><![CDATA[Weinstein]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
</person-group>
<source><![CDATA[The Global Economic Burden of Non-communicable Diseases]]></source>
<year>2011</year>
<publisher-loc><![CDATA[Geneva ]]></publisher-loc>
<publisher-name><![CDATA[World Economic Forum]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B4">
<label>4</label><nlm-citation citation-type="book">
<collab>United Nations</collab>
<source><![CDATA[High-level Meeting on Non-communicable Diseases]]></source>
<year>2011</year>
<publisher-name><![CDATA[General Assembly of the United Nations]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B5">
<label>5</label><nlm-citation citation-type="book">
<collab>Brasil^dMinistério da Saúde</collab>
<source><![CDATA[Plano de Ações Estratégicas Para o Enfrentamento das Doenças Crônicas Não Transmissíveis (DCNT) no Brasil, 2011-2022]]></source>
<year>2011</year>
<publisher-loc><![CDATA[Brasília ]]></publisher-loc>
<publisher-name><![CDATA[MS]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B6">
<label>6</label><nlm-citation citation-type="book">
<collab>World Health Organization</collab>
<source><![CDATA[2008-2013 Action Plan for the Global Strategy for the Prevention and Control of Noncommunicable Diseases]]></source>
<year>2009</year>
<publisher-loc><![CDATA[Geneva ]]></publisher-loc>
<publisher-name><![CDATA[WHO]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B7">
<label>7</label><nlm-citation citation-type="book">
<collab>World Health Organization</collab>
<source><![CDATA[Monitoring framework and targets for the prevention and control of NCDs]]></source>
<year>2012</year>
<publisher-name><![CDATA[WHO]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B8">
<label>8</label><nlm-citation citation-type="book">
<collab>World Health Organization</collab>
<source><![CDATA[Global Health Observatory Data Repository]]></source>
<year>2011</year>
<publisher-name><![CDATA[WHO]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B9">
<label>9</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Duncan]]></surname>
<given-names><![CDATA[BB]]></given-names>
</name>
<name>
<surname><![CDATA[Stevens]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Iser]]></surname>
<given-names><![CDATA[BPM]]></given-names>
</name>
<name>
<surname><![CDATA[Malta]]></surname>
<given-names><![CDATA[DC]]></given-names>
</name>
<name>
<surname><![CDATA[Silva]]></surname>
<given-names><![CDATA[GA]]></given-names>
</name>
<name>
<surname><![CDATA[Schmidt]]></surname>
<given-names><![CDATA[MI]]></given-names>
</name>
</person-group>
<article-title xml:lang="pt"><![CDATA[Mortalidade por doenças crônicas no Brasil: situação em 2009 e tendências de 1991 a 2009]]></article-title>
<collab>Brasil^dMinistério da Saúde</collab>
<source><![CDATA[Saúde Brasil 2010 [Documento na Internet]]]></source>
<year>2011</year>
<page-range>117-134</page-range><publisher-loc><![CDATA[Brasília ]]></publisher-loc>
<publisher-name><![CDATA[MS]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B10">
<label>10</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Mathers]]></surname>
<given-names><![CDATA[CD]]></given-names>
</name>
<name>
<surname><![CDATA[Bernard]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
<name>
<surname><![CDATA[Iburg]]></surname>
<given-names><![CDATA[KM]]></given-names>
</name>
<name>
<surname><![CDATA[Inoue]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Fat]]></surname>
<given-names><![CDATA[DM]]></given-names>
</name>
<name>
<surname><![CDATA[Shibuya]]></surname>
<given-names><![CDATA[K]]></given-names>
</name>
<name>
<surname><![CDATA[Stein]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
<name>
<surname><![CDATA[Tomijima]]></surname>
<given-names><![CDATA[N]]></given-names>
</name>
<name>
<surname><![CDATA[Xu]]></surname>
<given-names><![CDATA[H]]></given-names>
</name>
</person-group>
<source><![CDATA[Global Burden of Disease in 2002: data sources, methods and results [Book at Internet]]]></source>
<year>2003</year>
<publisher-loc><![CDATA[Geneva ]]></publisher-loc>
<publisher-name><![CDATA[WHO]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B11">
<label>11</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Albuquerque]]></surname>
<given-names><![CDATA[FRP]]></given-names>
</name>
<name>
<surname><![CDATA[Senna]]></surname>
<given-names><![CDATA[JR]]></given-names>
</name>
</person-group>
<source><![CDATA[Tábuas de Mortalidade por sexo e grupos de idade: Grandes Regiões e Unidades da Federação de 1980, 1991 e 2000]]></source>
<year>2005</year>
<publisher-loc><![CDATA[Rio de Janeiro ]]></publisher-loc>
<publisher-name><![CDATA[IBGE]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B12">
<label>12</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Szwarcwald]]></surname>
<given-names><![CDATA[CL]]></given-names>
</name>
<name>
<surname><![CDATA[Morais Neto]]></surname>
<given-names><![CDATA[OL]]></given-names>
</name>
<name>
<surname><![CDATA[Frias]]></surname>
<given-names><![CDATA[PG]]></given-names>
</name>
<name>
<surname><![CDATA[Souza Júnior PRB]]></surname>
<given-names><![CDATA[de]]></given-names>
</name>
<name>
<surname><![CDATA[Escalante]]></surname>
<given-names><![CDATA[JJC]]></given-names>
</name>
<name>
<surname><![CDATA[Lima RB]]></surname>
<given-names><![CDATA[de]]></given-names>
</name>
<name>
<surname><![CDATA[Viola]]></surname>
<given-names><![CDATA[RC]]></given-names>
</name>
</person-group>
<article-title xml:lang="pt"><![CDATA[Busca ativa de óbitos e nascimentos no Nordeste e na Amazônia Legal: Estimação das coberturas do SIM e dos Sinasc nos municípios brasileiros]]></article-title>
<collab>Brasil^dMinistério da Saúde</collab>
<source><![CDATA[Saúde Brasil 2010]]></source>
<year>2011</year>
<page-range>117-134</page-range><publisher-loc><![CDATA[Brasília ]]></publisher-loc>
<publisher-name><![CDATA[MS]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B13">
<label>13</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Schmidt]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Duncan]]></surname>
<given-names><![CDATA[B]]></given-names>
</name>
<name>
<surname><![CDATA[Stevens]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Luft]]></surname>
<given-names><![CDATA[V]]></given-names>
</name>
<name>
<surname><![CDATA[Iser]]></surname>
<given-names><![CDATA[BPM]]></given-names>
</name>
<name>
<surname><![CDATA[Moura]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
<name>
<surname><![CDATA[Malta]]></surname>
<given-names><![CDATA[DC]]></given-names>
</name>
</person-group>
<article-title xml:lang="pt"><![CDATA[Doenças Crônicas não transmissíveis no Brasil: mortalidade, morbidade e fatores de risco]]></article-title>
<collab>Brasil^dMinistério da Saúde</collab>
<source><![CDATA[Saúde Brasil 2009: uma análise da situação de saúde e da agenda nacional e internacio­nal de prioridades em saúde]]></source>
<year>2010</year>
<publisher-loc><![CDATA[Brasília ]]></publisher-loc>
<publisher-name><![CDATA[MS]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B14">
<label>14</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ahmad]]></surname>
<given-names><![CDATA[O]]></given-names>
</name>
<name>
<surname><![CDATA[Boschi-Pinto]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
<name>
<surname><![CDATA[Lopez]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Murray]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
<name>
<surname><![CDATA[Lozano]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
<name>
<surname><![CDATA[Inoue]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
</person-group>
<source><![CDATA[Age standardization of rates: a new WHO standard]]></source>
<year>2001</year>
<publisher-loc><![CDATA[Geneva ]]></publisher-loc>
<publisher-name><![CDATA[WHO]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B15">
<label>15</label><nlm-citation citation-type="">
<collab>National Cancer Institute</collab>
<source><![CDATA[Joinpoint Regression Program: Surveillance Research Program]]></source>
<year>2012</year>
</nlm-citation>
</ref>
<ref id="B16">
<label>16</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Kim]]></surname>
<given-names><![CDATA[H-J]]></given-names>
</name>
<name>
<surname><![CDATA[Fay]]></surname>
<given-names><![CDATA[MP]]></given-names>
</name>
<name>
<surname><![CDATA[Feuer]]></surname>
<given-names><![CDATA[EJ]]></given-names>
</name>
<name>
<surname><![CDATA[Midthune]]></surname>
<given-names><![CDATA[DN]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[Permutation tests for joinpoint regression with applications to cancer rates]]></article-title>
<source><![CDATA[Stat Med]]></source>
<year>2000</year>
<volume>19</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>335-351</page-range></nlm-citation>
</ref>
<ref id="B17">
<label>17</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Schmidt]]></surname>
<given-names><![CDATA[MI]]></given-names>
</name>
<name>
<surname><![CDATA[Duncan]]></surname>
<given-names><![CDATA[BB]]></given-names>
</name>
<name>
<surname><![CDATA[e Silva]]></surname>
<given-names><![CDATA[GA]]></given-names>
</name>
<name>
<surname><![CDATA[Menezes]]></surname>
<given-names><![CDATA[AM]]></given-names>
</name>
<name>
<surname><![CDATA[Monteiro]]></surname>
<given-names><![CDATA[CA]]></given-names>
</name>
<name>
<surname><![CDATA[Barreto]]></surname>
<given-names><![CDATA[SM]]></given-names>
</name>
<name>
<surname><![CDATA[Chor]]></surname>
<given-names><![CDATA[D]]></given-names>
</name>
<name>
<surname><![CDATA[Menezes]]></surname>
<given-names><![CDATA[PR]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[Chronic non-communicable diseases in Brazil: burden and current challenges]]></article-title>
<source><![CDATA[The Lancet]]></source>
<year>2011</year>
<volume>377</volume>
<numero>9781</numero>
<issue>9781</issue>
<page-range>1949-1961</page-range></nlm-citation>
</ref>
<ref id="B18">
<label>18</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Silva]]></surname>
<given-names><![CDATA[GA]]></given-names>
</name>
<name>
<surname><![CDATA[Noronha]]></surname>
<given-names><![CDATA[CP]]></given-names>
</name>
<name>
<surname><![CDATA[Santos]]></surname>
<given-names><![CDATA[MO]]></given-names>
</name>
<name>
<surname><![CDATA[Oliveira]]></surname>
<given-names><![CDATA[JFP]]></given-names>
</name>
</person-group>
<article-title xml:lang="pt"><![CDATA[Diferenças de gênero na tendência de mortalidade por câncer de pulmão nas macrorregiões brasileiras]]></article-title>
<source><![CDATA[Rev Bras Epidemiol]]></source>
<year>2008</year>
<volume>11</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>411-419</page-range></nlm-citation>
</ref>
<ref id="B19">
<label>19</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Monteiro]]></surname>
<given-names><![CDATA[CA]]></given-names>
</name>
<name>
<surname><![CDATA[Cavalcante]]></surname>
<given-names><![CDATA[TM]]></given-names>
</name>
<name>
<surname><![CDATA[Moura]]></surname>
<given-names><![CDATA[EC]]></given-names>
</name>
<name>
<surname><![CDATA[Claro]]></surname>
<given-names><![CDATA[RM]]></given-names>
</name>
<name>
<surname><![CDATA[Szwarcwald]]></surname>
<given-names><![CDATA[CL]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[Population-based evidence of a strong decline in the prevalence of smokers in Brazil (1989-2003)]]></article-title>
<source><![CDATA[Bull World Health Organ.]]></source>
<year>2007</year>
<volume>85</volume>
<numero>7</numero>
<issue>7</issue>
<page-range>527-534</page-range></nlm-citation>
</ref>
<ref id="B20">
<label>20</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Abreu DMX]]></surname>
<given-names><![CDATA[de]]></given-names>
</name>
<name>
<surname><![CDATA[César]]></surname>
<given-names><![CDATA[CC]]></given-names>
</name>
<name>
<surname><![CDATA[França]]></surname>
<given-names><![CDATA[EB]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[Gender differences in avoidable mortality in Brazil (1983-2005)]]></article-title>
<source><![CDATA[Cad Saúde Públ.]]></source>
<year>2009</year>
<volume>25</volume>
<numero>12</numero>
<issue>12</issue>
<page-range>2672-2682</page-range></nlm-citation>
</ref>
<ref id="B21">
<label>21</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Kalben]]></surname>
<given-names><![CDATA[BB]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[Why men die younger: causes of mortality differences by sex]]></article-title>
<source><![CDATA[N Am Actuar J]]></source>
<year>2000</year>
<volume>5</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>83-116</page-range></nlm-citation>
</ref>
</ref-list>
</back>
</article>
