<?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>0036-3634</journal-id>
<journal-title><![CDATA[Salud Pública de México]]></journal-title>
<abbrev-journal-title><![CDATA[Salud pública Méx]]></abbrev-journal-title>
<issn>0036-3634</issn>
<publisher>
<publisher-name><![CDATA[Instituto Nacional de Salud Pública]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0036-36342003001000013</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Conclusions from the Mexican National Nutrition Survey 1999: translating results into nutrition policy]]></article-title>
<article-title xml:lang="es"><![CDATA[Conclusiones de la Encuesta Nacional de Nutrición 1999: traduciendo resultados a política nutricional]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Rivera]]></surname>
<given-names><![CDATA[Juan A]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Sepúlveda Amor]]></surname>
<given-names><![CDATA[Jaime]]></given-names>
</name>
<xref ref-type="aff" rid="A02"/>
</contrib>
</contrib-group>
<aff id="A01">
<institution><![CDATA[,Instituto Nacional de Salud Pública Centro de Investigación en Nutrición y Salud ]]></institution>
<addr-line><![CDATA[Cuernavaca Morelos]]></addr-line>
<country>México</country>
</aff>
<aff id="A02">
<institution><![CDATA[,INSP  ]]></institution>
<addr-line><![CDATA[Cuernavaca Morelos]]></addr-line>
<country>México</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>00</month>
<year>2003</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>00</month>
<year>2003</year>
</pub-date>
<volume>45</volume>
<fpage>565</fpage>
<lpage>575</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S0036-36342003001000013&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S0036-36342003001000013&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S0036-36342003001000013&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[OBJECTIVE: This article presents and overview of the main results and conclusions from the Mexican National Nutrition Survey 1999 (NNS-1999) and the principal nutrition policy implications of the findings. MATERIAL AND METHODS: The NNS-1999 was conducted on a national probabilistic sample of almost 18 000 households, representative of the national, regional, as well as urban and rural levels in Mexico. Subjects included were children <12 years and women 12-49 years. Anthropometry, blood specimens, diet and socioeconomic information of the family were collected. RESULTS: The principal public nutrition problems are stunting in children < 5 years of age; anemia, iron and zinc deficiency, and low serum vitamin C concentrations at all ages; and vitamin A deficiency in children. Undernutrition (stunting and micronutrient deficiencies) was generally more prevalent in the lower socioeconomic groups, in rural areas, in the south and in Indigenous population. Overweight and obesity are serious public health problems in women and are already a concern in school-age children. CONCLUSIONS: A number of programs aimed at preventing undernutrition are currently in progress; several of them were designed or modified as a result of the NNS-1999 findings. Most of them have an evaluation component that will inform adjustments or modifications of their design and implementation. However, little is being done for the prevention and control of overweight and obesity and there is limited experience on effective interventions. The design and evaluation of prevention strategies for controlling obesity in the population, based on existing evidence, is urgently needed and success stories should be brought to scale quickly to maximize impact.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[OBJETIVO: Este artículo presenta una visión general de los resultados y conclusiones más importantes de la Encuesta Nacional de Nutrición realizada en México en 1999 (ENN-1999) y sus principales implicaciones para políticas públicas sobre nutrición. MATERIAL Y MÉTODOS: La ENN-1999 fue realizada en una muestra probabilística de cerca de 18 000 hogares, representativa de los ámbitos nacional, regional y de zonas urbanas y rurales en México. Se incluyó a niños menores de 12 años y mujeres de 12 a 49 años. Se obtuvieron mediciones antropométricas, muestras de sangre, dieta e información socioeconómica de los hogares. RESULTADOS: Los principales problemas de nutrición pública en México son baja talla en menores de 5 años; anemia, deficiencia de hierro y zinc y concentraciones séricas bajas de vitamina C en todas las edades; y deficiencia de vitamina A en niños. La desnutrición (baja talla y deficiencia de micronutrimentos) fue más prevalente en los grupos con bajo nivel socioeconómico, en zonas rurales, el sur y en población indígena. El sobrepeso y la obesidad son serios problemas de salud pública en mujeres y ya constituyen motivo de preocupación en niños de edad escolar. CONCLUSIONES: Un importante número de programas dirigidos a prevenir la desnutrición se aplican actualmente; varios de ellos fueron diseñados o modificados como resultado de los hallazgos de la ENN-1999. La mayor parte de ellos tienen un componente de evaluación que guiará ajustes y modificaciones de su diseño e implementación. Sin embargo poco se está haciendo para la prevención y control de sobrepeso y obesidad y hay experiencia limitada sobre intervenciones efectivas. Se necesita urgentemente el diseño y evaluación de estrategias para controlar la obesidad en la población, con base en evidencia existente y las acciones exitosas deben convertirse en programas de gran escala rápidamente con el propósito de maximizar su impacto.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[nutritional status]]></kwd>
<kwd lng="en"><![CDATA[stunting]]></kwd>
<kwd lng="en"><![CDATA[anemia]]></kwd>
<kwd lng="en"><![CDATA[micronutrient deficiencies]]></kwd>
<kwd lng="en"><![CDATA[overweight]]></kwd>
<kwd lng="en"><![CDATA[obesity]]></kwd>
<kwd lng="en"><![CDATA[Mexico]]></kwd>
<kwd lng="es"><![CDATA[estado de nutrición]]></kwd>
<kwd lng="es"><![CDATA[baja talla]]></kwd>
<kwd lng="es"><![CDATA[anemia]]></kwd>
<kwd lng="es"><![CDATA[deficiencia de micronutrimentos]]></kwd>
<kwd lng="es"><![CDATA[sobrepeso]]></kwd>
<kwd lng="es"><![CDATA[obesidad]]></kwd>
<kwd lng="es"><![CDATA[México]]></kwd>
</kwd-group>
</article-meta>
</front><body><![CDATA[ <p align="right"><font size="2" face="Verdana"> <b>SPECIAL ARTICLE</b></font></p>     <p>&nbsp;</p>     <p><font size="4" face="Verdana"><b>Conclusions from the Mexican National Nutrition    Survey 1999: translating results into nutrition policy </b></font></p>     <p>&nbsp;</p>     <p><b><font size="3" face="Verdana">Conclusiones de la Encuesta Nacional de Nutrici&oacute;n    1999: traduciendo resultados a pol&iacute;tica nutricional</font></b></p>     <p>&nbsp;</p>     <p>&nbsp;</p>     <p><font size="2" face="Verdana"><b>Juan A Rivera, MS, PhD<SUP>I</SUP>; Jaime    Sep&uacute;lveda Amor, MD, ScD<sup>II</sup></b></font></p>     <p><font size="2" face="Verdana"><sup>I</sup>Centro de Investigaci&oacute;n en    Nutrici&oacute;n y Salud, Instituto Nacional de Salud P&uacute;blica (INSP),    Cuernavaca, Morelos, M&eacute;xico    <br>   <sup>II</sup>Direcci&oacute;n General del    INSP, Cuernavaca, Morelos, M&eacute;xico</font></p>     ]]></body>
<body><![CDATA[<p>&nbsp;</p>     <p>&nbsp;</p> <hr size="1" noshade>     <p><font size="2" face="Verdana"><b>ABSTRACT</b></font></p>     <p><font size="2" face="Verdana"><B>OBJECTIVE:</B> This article presents and overview    of the main results and conclusions from the Mexican National Nutrition Survey    1999 (NNS-1999) and the principal nutrition policy implications of the findings.    <br>   <B>MATERIAL AND METHODS:</B> The NNS-1999 was conducted on a national probabilistic    sample of almost 18 000 households, representative of the national, regional,    as well as urban and rural levels in Mexico. Subjects included were children    &lt;12 years and women 12-49 years. Anthropometry, blood specimens, diet and    socioeconomic information of the family were collected.    <br>   <B>RESULTS:</B> The principal public nutrition problems are stunting in children    &lt; 5 years of age; anemia, iron and zinc deficiency, and low serum vitamin    C concentrations at all ages; and vitamin A deficiency in children. Undernutrition    (stunting and micronutrient deficiencies) was generally more prevalent in the    lower socioeconomic groups, in rural areas, in the south and in Indigenous population.    Overweight and obesity are serious public health problems in women and are already    a concern in school-age children. <B>    <br>   </B><B>CONCLUSIONS:</B> A number of programs aimed at preventing undernutrition    are currently in progress; several of them were designed or modified as a result    of the NNS-1999 findings. Most of them have an evaluation component that will    inform adjustments or modifications of their design and implementation. However,    little is being done for the prevention and control of overweight and obesity    and there is limited experience on effective interventions. The design and evaluation    of prevention strategies for controlling obesity in the population, based on    existing evidence, is urgently needed and success stories should be brought    to scale quickly to maximize impact. The English version of this paper is available    too at: <a href="http://www.insp.mx/salud/index.html">http://www.insp.mx/salud/index.html</a></font></p>     <p><font size="2" face="Verdana"><b>Key words: </b>nutritional status; stunting;    anemia; micronutrient deficiencies; overweight; obesity; Mexico</font></p> <hr size="1" noshade>     <p><font size="2" face="Verdana"><b>RESUMEN</b></font></p>     <p><font size="2" face="Verdana"><B>OBJETIVO:</B> Este art&iacute;culo presenta    una visi&oacute;n general de los resultados y conclusiones m&aacute;s importantes    de la Encuesta Nacional de Nutrici&oacute;n realizada en M&eacute;xico en 1999    (ENN-1999) y sus principales implicaciones para pol&iacute;ticas p&uacute;blicas    sobre nutrici&oacute;n. <B>    ]]></body>
<body><![CDATA[<br>   </B><B>MATERIAL Y M&Eacute;TODOS:</B> La ENN-1999 fue realizada en una muestra    probabil&iacute;stica de cerca de 18 000 hogares, representativa de los &aacute;mbitos    nacional, regional y de zonas urbanas y rurales en M&eacute;xico. Se incluy&oacute;    a ni&ntilde;os menores de 12 a&ntilde;os y mujeres de 12 a 49 a&ntilde;os. Se    obtuvieron mediciones antropom&eacute;tricas, muestras de sangre, dieta e informaci&oacute;n    socioecon&oacute;mica de los hogares. <B>    <br>   </B><B>RESULTADOS:</B> Los principales problemas de nutrici&oacute;n p&uacute;blica    en M&eacute;xico son baja talla en menores de 5 a&ntilde;os; anemia, deficiencia    de hierro y zinc y concentraciones s&eacute;ricas bajas de vitamina C en todas    las edades; y deficiencia de vitamina A en ni&ntilde;os. La desnutrici&oacute;n    (baja talla y deficiencia de micronutrimentos) fue m&aacute;s prevalente en    los grupos con bajo nivel socioecon&oacute;mico, en zonas rurales, el sur y    en poblaci&oacute;n ind&iacute;gena. El sobrepeso y la obesidad son serios problemas    de salud p&uacute;blica en mujeres y ya constituyen motivo de preocupaci&oacute;n    en ni&ntilde;os de edad escolar. <B>    <br>   </B><B>CONCLUSIONES:</B> Un importante n&uacute;mero de programas dirigidos    a prevenir la desnutrici&oacute;n se aplican actualmente; varios de ellos fueron    dise&ntilde;ados o modificados como resultado de los hallazgos de la ENN-1999.    La mayor parte de ellos tienen un componente de evaluaci&oacute;n que guiar&aacute;    ajustes y modificaciones de su dise&ntilde;o e implementaci&oacute;n. Sin embargo    poco se est&aacute; haciendo para la prevenci&oacute;n y control de sobrepeso    y obesidad y hay experiencia limitada sobre intervenciones efectivas. Se necesita    urgentemente el dise&ntilde;o y evaluaci&oacute;n de estrategias para controlar    la obesidad en la poblaci&oacute;n, con base en evidencia existente y las acciones    exitosas deben convertirse en programas de gran escala r&aacute;pidamente con    el prop&oacute;sito de maximizar su impacto. El texto completo en ingl&eacute;s    de este art&iacute;culo tambi&eacute;n est&aacute; disponible en: <a href="http://www.insp.mx/salud/index.html">http://www.insp.mx/salud/index.html</a></font></p>     <p><font size="2" face="Verdana"><b>Palabras clave:</b> estado de nutrici&oacute;n;    baja talla; anemia; deficiencia de micronutrimentos; sobrepeso; obesidad; M&eacute;xico,</font></p> <hr size="1" noshade>     <p>&nbsp;</p>     <p>&nbsp;</p>     <p><font size="2" face="Verdana">Nutrition throughout the life cycle is one of    the main determinants of health, as well as physical and mental performance.    Undernutrition during early life increases the risk of disease and mortality    and impairs growth and development during early childhood. Its negative impact    spills into adolescence and adulthood, reducing work capacity and intellectual    performance,<SUP>1</SUP> which may in turn decrease economic productivity. Undernutrition    during other periods of life can also have adverse consequences on health and    performance. For example, anemia and micronutrient deficiencies in school age    children can affect health and school attendance, performance and learning,<SUP>2</SUP>    with negative consequences in human capital development. Overnutrition, another    form of malnutrition, is a well known risk factor for various non-communicable    chronic diseases<SUP>3</SUP> which increase the risk of premature death, and    impose an economic burden on health services.<SUP>4</SUP> </font></p>     <p><font size="2" face="Verdana"> Malnutrition (both undernutrition and overnutrition)    have complex causes that involve biological as well as socioeconomic and cultural    determinants. Child undernutrition results from poor diets, in quantity and/or    quality, and from infectious diseases; these factors are rooted in insufficient    access to nutritious foods, poor sanitation and health services, and inadequate    parental care practices.<SUP>5</SUP> The roots of these issues lie in the uneven    distribution of resources, knowledge and opportunities among the members of    the society where undernutrition is most prevalent. </font></p>     <p><font size="2" face="Verdana"> Overnutrition and obesity result from the imbalance    between energy intake and expenditure. This imbalance is most often the consequence    of the intake of energy-dense and low fiber diets in combination with reduced    physical activity. The latter has been linked to urbanization, economic growth,    and changes in technology for work, as well as changes in lifestyles and leisure.<SUP>6</SUP>    </font></p>     <p><font size="2" face="Verdana"> The prevention of malnutrition is of paramount    importance, given its significance for the health and performance of the population.    The multi-factorial causation of malnutrition calls for multi-sector policies    and programs to prevent or ameliorate the problem and its consequences. </font></p>     ]]></body>
<body><![CDATA[<p><font size="2" face="Verdana"> Reliable and timely information about the nutritional    status of the population and its key determinants is required periodically for    planning policies and programs. The first nutrition probabilistic survey in    a national sample in Mexico was conducted in 1988 by the Secretary of Health.    The National Institute of Public Health thought it to be important to update    the information on the nutritional situation in Mexico and conducted, between    1998 and 1999, the second National Nutrition Survey, referred to thereafter    as the National Nutrition Survey 1999 (NNS-1999). </font></p>     <p><font size="2" face="Verdana"> This article provides a brief overview of the    papers included in this volume, complemented with results from other publications    of findings of the NNS-1999 and some original unpublished results. It also addresses    some of the main policy implications of the findings and how the results of    the survey have influenced nutrition policy. </font></p>     <p>&nbsp;</p>     <p><font size="3" face="Verdana"><b>Material and Methods </b></font></p>     <p><font size="2" face="Verdana"><I>Sample and design</I>. The NNS-1999 was conducted    by the National Institute of Public Health of Mexico between October 1998 and    March 1999 in a national probabilistic sample of 17 944 households in Mexico.    The sampling methodology as well as the response rates are described in detail    in an article published in this same issue.<SUP>7</SUP> The resulting sample    is representative of the national level, of urban (<u>&gt;</u>2 500 people)    and rural (&lt;2 500 people) sites and of four geographic regions which include    the following states: north (Baja California, Baja California Sur, Coahuila,    Chihuahua, Durango, Nuevo Le&oacute;n, Sonora, and Tamaulipas), center (Aguascalientes,    Colima, Guanajuato, Jalisco, M&eacute;xico (excluding the municipalities that    are part of the Mexico City), Michoac&aacute;n, Morelos, Nayarit, Quer&eacute;taro,    San Luis Potos&iacute;, Sinaloa, and Zacatecas),    Mexico City (including the Federal District and the municipalities that are    part of the metropolitan area) and south (Campeche, Chiapas, Guerrero, Hidalgo,    Oaxaca, Puebla, Quintana Roo, Tabasco, Tlaxcala, Veracruz, and Yucat&aacute;n).    </font></p>     <p><font size="2" face="Verdana"> Information was available on a total of 5 471    households in the north, 5 212 in the center, 1 930 in Mexico City, and 5 331    in the south. </font></p>     <p><font size="2" face="Verdana"> The study population consisted of the following    age groups: children &lt;5 years of age (<I>n</I>=8 011), school-age children    between 5 and 11 years (<I>n</I>=11 415), and women aged 12-49 years (<I>n</I>=18    311). The sample represented about 10.6 million children &lt;5 years of age,    about 15.6 million children 5-11 years and about 28.8 million women 12-49 years    of age. </font></p>     <p><font size="2" face="Verdana"> Questionnaires were applied, measurements obtained    and biological samples collected for the total sample or in sub-samples. A brief    account of the data collection relevant to this article follows. In the total    sample, a questionnaire on household characteristics was applied alongside another    on morbidity of children and women. On the same visit anthropometry (weight    and height or length) was measured and capillary blood samples for hemoglobin    determination obtained in all children and women 12-49 years of age. A questionnaire    about breastfeeding and complementary feeding of children &lt; 2 years of age    was applied in all households with children in this age range. A 24-hours dietary    intake questionnaire was applied in one out of five households in the diet sub-sample    that included all children in the household and one randomly selected woman.    Venous blood and urine specimens were collected from a sub-sample of the diet    sub-sample - referred to as the biochemical determinants sample - to determine    the micronutrient concentrations and table salt was collected for determination    of iodine concentration, as an indicator of effectiveness of salt fortification    with iodine. </font></p>     <p><font size="2" face="Verdana"> Consent was obtained from the mother or self-identified    decision maker in each household. The project was approved by the Human Subjects    and Ethics Committee of the National Institute of Public Health. </font></p>     <p><font size="2" face="Verdana"> Detailed descriptions of the methods employed    for data collection of all measurements and for laboratory procedures are published    elsewhere<SUP>8</SUP> and are also described in details in other parts of this    volume. The following is a list of each study area, followed by the citation    of the article or articles in this issue where methods are described. </font></p>     ]]></body>
<body><![CDATA[<p><font size="2" face="Verdana"> Anthropometric measurements in children less    than 5 years<SUP>9</SUP> and in children 5-11 years,<SUP>10</SUP> dietary intake    of children<SUP>11</SUP> and women,<SUP>12</SUP> hemoglobin determination and    definitions of anemia in children<SUP>13</SUP> and women,<SUP>14</SUP> methods    for the assessment of micronutrient status,<SUP>15,16</SUP> breastfeeding,<SUP>17</SUP>    and socioeconomic status classification.<SUP>9</SUP> </font></p>     <p><font size="2" face="Verdana"> The principal variables included in this article    are listed and defined below: </font></p>     <p><font size="2" face="Verdana"> Length/height and weight data in children &lt;    5 years were transformed to z-scores using the WHO/NCHS/CDC reference data.<SUP>18    </SUP>Children were classified as underweight, stunted and wasted when their    z-scores were &lt;-2 for weight-for-age, length/height-for-age and weight-for-length/height,    respectively. Children &lt; 5 years were classified as overweight when their    z-score &gt; +2 for weight for length. Classification of overweight and obesity    in children 5-11 years and non-pregnant women used the Body Mass Index (BMI    = weight {kg}/height<SUP>2</SUP> {m<SUP>2</SUP>}). For school age children the    age and sex specific cutoff points, as suggested by the International Obesity    Task Force<SUP>19</SUP> were employed. These cutoff points are based on a reference    population which includes data from different countries and generates age specific    BMI cutoff points for children linked to the adult BMI cutoff points of 25 kg/m<SUP>2    </SUP>(overweight) and 30 kg/m<SUP>2</SUP> (obesity). These two cutoffs for    the classification of overweight and obesity for adults were used for the classification    of women as overweight or obese in this article.<SUP>20</SUP> </font></p>     <p><font size="2" face="Verdana"> Anemia was defined as a concentration of hemoglobin    at sea level of &lt;11.0 g/dl in children 1-5 years old and pregnant women,    9.5 g/dl in children 6-11 months of age and &lt;12.0 g/dl in children 6-11 years    and non-pregnant women.<SUP>21, 22</SUP> The values for each location were adjusted    according to their altitude above sea level.<SUP>23,24</SUP> Altitude data were    obtained from INEGI (the Mexican Institute of Information, Geography and Statistics).<SUP>25</SUP>    </font></p>     <p><font size="2" face="Verdana"> Micronutrient deficiencies were defined as follows.    Iron deficiency as Percent Transferrin Saturation &lt; 16,<SUP>26</SUP> zinc    deficiency as serum zinc concentrations &lt;65 ug/dl, as recommended by the    International Zinc Nutrition Consultative Group (IZiNCG), vitamin A deficiency    as serum retinol &lt; 20 &#181;g/dl, folate deficiency as folate concentrations    in erythrocytes &lt; 140ng/ml,<SUP>27</SUP> and vitamin C deficiency as ascorbic    acid serum concentrations &lt;0.2 mg/dl.<SUP>28</SUP> </font></p>     <p><font size="2" face="Verdana"> Exclusive breast-feeding was defined as consuming    nothing but breast milk. Having ever breast-fed was defined as having ever suckled    at the breast to receive colostrum or breast milk. Median duration of any breast-feeding    was estimated through moving averages. </font></p>     <p><font size="2" face="Verdana"> Nutrient adequacies were estimated using as    reference the Estimated Average Requirements (EARs) from the Dietary Reference    Intakes (DRIs) when available (Iron, zinc, vitamin A and C, and folate )<SUP>29</SUP>    and the Recommended Dietary Allowances (RDAs) for energy.<SUP>30</SUP> </font></p>     <p><font size="2" face="Verdana"> Several analyses are presented by geographic    region and by rural and urban areas (as defined above), by age groups, by indigenous    and non-indigenous populations and by SES tertiles. </font></p>     <p><font size="2" face="Verdana"> Indigenous population was defined according    to households in which at least one woman between 12 and 49 years of age spoke    a Native language, defining children and women living in those households as    indigenous. Likewise, children and women living in households who did not fit    into this classification are referred to as non-indigenous. </font></p>     <p><font size="2" face="Verdana"> SES conditions were assessed using information    about construction materials used to build the house, sanitary infrastructure,    services available and possession of selected household goods as reported by    informants and by observing their conditions. Using this information the SES    indicator was derived from the first component of a Principal Components Analysis.<SUP>31</SUP>    The resulting standardized factor scores were divided into tertiles or deciles,    depending on the analysis. Further details on the derivation of the SES indicator    can be found in a publication by Rivera <I>et al</I><SUP>9</SUP> in this issue.    </font></p>     ]]></body>
<body><![CDATA[<p><font size="2" face="Verdana"> The NNS-1999 used a design strategy and methods    similar to the first National Survey conducted in 1988 in order to accurately    describe changes in the population's nutritional status over the two survey    periods. Both surveys measured anthropometry in children &lt; 5 years and women.    Changes in the nutritional status of children and in the BMI distribution of    women between surveys have been published elsewhere,<SUP>8,32</SUP> and are    discussed in this article. </font></p>     <p><font size="2" face="Verdana"> Analyses were performed using Stata (Stata Statistical    Software, Release 6.0, Stata Corporation College Station, TX) and SPSS (SPSS    for Windows, Release 10.0.0. Chicago, IL, SPSS Inc., 1999) and considered the    multistage sampling methodology. </font></p>     <p>&nbsp;</p>     <p><font size="3" face="Verdana"><b>Results </b></font></p>     <p><font size="2" face="Verdana">The main malnutrition problems were linear growth    retardation (stunting), micronutrient deficiencies and anemia, and overweight    and obesity. </font></p>     <p><font size="2" face="Verdana"><b>Stunting </b></font></p>     <p><font size="2" face="Verdana">In Mexico, stunting continues to be an important    public health problem in children &lt; 5 years of age while wasting is no longer    a widespread problem at national or regional levels. At the national level almost    one of every five children &lt; 5 years of age (17.7%) were stunted while only    2% were wasted. The mean height-for-age z-score in this age group was -0.8 &plusmn;    1.3 while the mean weight-for-height z-score was +0.2 &plusmn; 1.1. Stunting occurs    predominantly during the first two years of life. The prevalence increases almost    3 times between the first and the second year of life (form about 8% to 22%)    and remains at about 20% up to 4 years of age. From 5-11 years, the percent    of children &lt; -2 S.D. of the NCHS/WHO distribution of height for age was    16.1%. On average, adult women were short. The mean height of women 12-49 years    of age was 152.9 cm.<SUP>8</SUP> </font></p>     <p><font size="2" face="Verdana"> So far national averages have been presented.    However, stunting is distributed heterogeneously among population sub-groups.    <a href="#fig01">Figure 1</a> shows the prevalence of stunting for each region    by urban and rural areas and in indigenous children. Prevalence in rural areas    (31.6%) is about 3 times higher than that found in urban areas (11.6%) and the    prevalence in the north (the wealthiest region) is much lower than in the south    (the poorest region). The combination of regions and urban/rural areas results    in the largest differences. For example, while the prevalence in urban areas    of the north is about 6%, the prevalence in the rural south is over 40%, almost    7 times higher.<SUP>8</SUP> </font></p>     <p><a name="fig01"></a></p>     <p>&nbsp;</p>     ]]></body>
<body><![CDATA[<p align="center"><img src="/img/revistas/spm/v45s4/a13fig01.gif"></p>     <p>&nbsp;</p>     <p><font size="2" face="Verdana"> One of the groups with the poorest living conditions    in Mexico is the indigenous population. Close to two thirds of the families    of indigenous children&lt; 5 years of age are in the two lowest SES deciles,    compared to less than 15% of the families of non-indigenous children. One of    the articles in this issue<SUP>9</SUP> compares the nutritional status of indigenous    and non-indigenous children and investigates to what degree the SES indicator    described above explains the differences. The prevalence of stunting is ~3 times    higher in indigenous (44.3%) compared to non-indigenous children (14.5%) and    the differences were reduced to about half when adjusting     for SES, but remained significantly higher in indigenous children (p&lt;0.05).    </font></p>     <p><font size="2" face="Verdana"> <a href="#fig02">Figure 2</a> presents the prevalence    of stunting by deciles of the SES indicator, with the first decile indicating    the lowest socioeconomic conditions. There is a clear trend of increasing prevalence    of stunting as the SES status deteriorates. The prevalence difference between    the first (47.6%) and the tenth (4.6%) decile is ~10 fold. </font></p>     <p><a name="fig02"></a></p>     <p>&nbsp;</p>     <p align="center"><img src="/img/revistas/spm/v45s4/a13fig02.gif"></p>     <p>&nbsp;</p>     <p><font size="2" face="Verdana"> The prevalence of stunting, underweight and    wasting in 1988 were 22.8%, 14.2%, and 6%, respectively and declined in 1999    to 17.7%, 7.6%, and 2%, respectively. Changes between surveys were 5.1 percent    points for stunting (22.4% relative to baseline), 6.6 percent points for underweight    (46.5% relative to baseline) and 4 percent points for wasting (67% relative    to baseline). </font></p>     <p><font size="2" face="Verdana"><b>Micronutrient deficiencies and anemia </b></font></p>     ]]></body>
<body><![CDATA[<p><font size="2" face="Verdana"><I>Children &lt; 5 years</I> </font></p>     <p><font size="2" face="Verdana">More than one in every four children &lt; 5 years    of age (27.2%) are anemic and between one-quarter to one half have one or more    micronutrient deficiencies. The prevalence of iron, zinc and vitamin A deficiencies    are at approximately 52%, 33% and 27%, respectively. Also, over 25% of children    have serum ascorbic acid concentrations indicative of low dietary intakes of    vitamin C (<a href="#fig04">Figure 4</a>). </font></p>     <p><a name="fig03"></a></p>     <p>&nbsp;</p>     <p align="center"><img src="/img/revistas/spm/v45s4/a13fig03.gif"></p>     <p>&nbsp;</p>     <p><a name="fig04"></a></p>     <p>&nbsp;</p>     <p align="center"><img src="/img/revistas/spm/v45s4/a13fig04.gif"></p>     <p>&nbsp;</p>     ]]></body>
<body><![CDATA[<p><font size="2" face="Verdana"> Some micronutrient deficiencies occur predominantly    at younger ages. Anemia rates peak in the second year of life, when it affects    almost half of all children, decreasing to about 17% prevalence at 4 years of    age (<a href="#fig03">Figure 3</a>). Iron deficiency affects about two thirds    of all children between 1 and 2 years and less than 50% between 3 and 4 years    of age (<a href="#fig04">Figure 4</a>). </font></p>     <p><font size="2" face="Verdana"> In contrast to stunting, differences in anemia    prevalences are not significantly different by region and between urban and    rural areas, but are higher in indigenous children (35.8%) compared to non-indigenous    children (26.1%). These health inequities are much smaller than those found    for stunting and are explained to a lesser degree by socioeconomic factors.<SUP>9,    13 </SUP> </font></p>     <p><font size="2" face="Verdana"><I>Children 5-11 years of age</I> </font></p>     <p><font size="2" face="Verdana">The prevalence of anemia in children 5-11 years    was 19.5% (<a href="#fig03">Figure 3</a>), slightly higher in rural (21.9%)    than urban (18.3%) areas and in indigenous (24.0%) than non-indigenous (18.0%)    children and much lower in Mexico City (11%) than in other regions (18.0% to    24%). </font></p>     <p><font size="2" face="Verdana"> The micronutrient with the highest deficiency    prevalence was iron (36%), followed by vitamin C (30%), Vitamin A and Zinc (around    20%) and folic acid (about 10%) (<a href="#fig04">Figure 4</a>). Urban areas    had much lower prevalence of iron and zinc deficiencies (38.2% and 18.2%, respectively)    than rural areas (48.3% and 40%, respectively). No differences were found in    prevalence of vitamin deficiencies between rural and urban areas.<SUP>15, 16</SUP>    </font></p>     <p><font size="2" face="Verdana"><I>Women</I> </font></p>     <p><font size="2" face="Verdana">The national prevalence of anemia was 20% in    non pregnant and 27.8% in pregnant women (<a href="#fig03">Figure 3</a>). In    Mexico City, the prevalence of anemia was low (16.4% non pregnant, 19.7% pregnant)    and the highest prevalence was found in the south for non pregnant women (23.2%)    and in the north for pregnant women (31.2%). Differences between rural and urban    areas were small. The adjusted risk of anemia in non pregnant women was statistically    significantly higher (<I>p</I>&lt;0.05) in the low and medium SES tertiles relative    to the high tertile (Odds Ratios (OR) were 1.4 in the low and 1.3 in the medium    SES tertiles relative to the high). The adjusted risk of anemia was higher in    the south and north (OR=1.3) relative to Mexico City and in women with children    relative to women without children (OR=1.5 for 1-5 children and 1.8 for &gt;    5 children).<SUP>14</SUP> </font></p>     <p><font size="2" face="Verdana"> The micronutrients with the highest deficiency    prevalence in non pregnant women were iron (40.5%) and vitamin C (39.3%), followed    by zinc (25.3%). Vitamin A and folic acid deficiencies were around 5% (<a href="#fig04">Figure    4</a>). Urban areas had much lower levels of iron and zinc deficiency (36% and    28%, respectively) than rural areas (52% and 34%, respectively). No differences    were found in vitamin deficiencies between rural and urban areas.<SUP>15, 16    </SUP> </font></p>     <p><font size="2" face="Verdana"><I>Overweight and obesity</I> </font></p>     <p><font size="2" face="Verdana">Overweight and obesity have become a national    epidemic in Mexico, particularly in adults, and it is already a concern in children.    </font></p>     ]]></body>
<body><![CDATA[<p><font size="2" face="Verdana"><I>Children &lt; 5 years</I> </font></p>     <p><font size="2" face="Verdana">The national prevalence of overweight in children    &lt; 5 years is 5.3% (<a href="#fig05">Figure 5</a>) with higher prevalence    in the north (7.2%) compared to the other regions (4% and 5%) and in urban (5.9%)    than rural areas (4.6%). The prevalence in 1988 was 4.2% (<a href="#fig05">Figure    5</a>); therefore the 11-year increment was 1.1 percent points.<SUP>8</SUP>    </font></p>     <p><a name="fig05"></a></p>     <p>&nbsp;</p>     <p align="center"><img src="/img/revistas/spm/v45s4/a13fig05.gif"></p>     <p>&nbsp;</p>     <p><font size="2" face="Verdana"><I>Children 5-11 years</I> </font></p>     <p><font size="2" face="Verdana">The combined prevalences of overweight and obesity    in children 5-11 years is 19.5% (<a href="#fig05">Figure 5</a>). The regions    with the highest prevalences were Mexico City (26.6%) and the north (25.6%),    followed by the center (18.0%), and the south (14.3%). The prevalence in urban    areas (22.9%) was much higher than in rural areas (11.7%). However, when adjusted    for other variables the differences by region and urban vs rural areas were    no longer statistically significant. The adjusted prevalences were higher in    females, children with more educated mothers (middle or high school) and higher    socioeconomic status.<SUP>10</SUP> </font></p>     <p><font size="2" face="Verdana"><I>Women</I> </font></p>     <p><font size="2" face="Verdana">The combined prevalence of overweight and obesity    in women 18-49 years of age (<a href="#fig05">Figure 5</a>) was 59.6% at the    national level (35.2% overweight and 24.4% obesity), with the highest prevalence    in the north (65.3%), followed by Mexico City (59.1), the Center (58.6%) and    the south (55.3%).<SUP>32 </SUP> </font></p>     ]]></body>
<body><![CDATA[<p><font size="2" face="Verdana"> The prevalences of overweight and obesity had    a dramatic increase in the 11 years between surveys. The national prevalences    of overweight and obesity in 1988 were 24.0% and 9.4%, respectively (<a href="#fig05">Figure    5</a>). Therefore the increments were 10.3 percent points for overweight (a    41.3% increase relative to baseline) and 15 percent points for obesity (a 160%    increase relative to baseline). </font></p>     <p><font size="2" face="Verdana"><I>Dietary intake</I> </font></p>     <p><font size="2" face="Verdana">Median energy intake was 949 kcal in children    &lt; 5 years, 1 377 kcal in children 5-11 years (adequacies below 70% for both    age groups) and 1 471 kcal in non pregnant women. There is indication of under-reporting    in children and clear evidence of under-reporting in women, particularly in    those classified as obese.<SUP>12</SUP> Evidence of protein adequacy was above    150% in children and almost 100% in women, despite under-reporting. Children    &lt; 12 years in the North, Mexico City and urban areas     had the highest fat and protein intake and the lowest fiber intake, while children    in the south, rural areas, indigenous, and those in the lowest socio-economic    group had the higher fiber intakes and the lowest fat intake. Children's carbohydrate    intake was higher in the south for both age groups and was higher in urban areas.    </font></p>     <p><font size="2" face="Verdana"> The percent children at risk of dietary inadequacy    (&lt; 50% adequacy) for micronutrient intakes were between 28% and 53% for children    &lt; 5 years and between 23% and 77% for children 5-11 years. Children of both    age groups in the south, in rural areas, in indigenous families and in the low    SES tertile showed the higher risks of inadequacies for vitamin A, vitamin C,    zinc and calcium, but not for iron and folate.<SUP>11</SUP> </font></p>     <p><font size="2" face="Verdana"> The percentage of women at risk of dietary inadequacy    was: 38.3% for vitamin A, 45.4% for vitamin C and 34.7% for folate. Carbohydrates,    folate, iron and calcium intakes were significantly higher in rural than in    urban areas. The risk of inadequate intake of vitamins A and C was higher in    women of the lowest SES tertile. The highest SES tertile reported a significantly    higher consumption of energy, protein, fat, cholesterol, vitamins A, C and zinc    with the lower intake of fiber.<SUP>12</SUP> </font></p>     <p><font size="2" face="Verdana"><I>Breastfeeding</I> </font></p>     <p><font size="2" face="Verdana">The prevalence of exclusive breastfeeding (EBF)    during the first 4 months of life was 25.7%, and during the first 6 months of    life 20.3%. The rate of continued breastfeeding (second year) was 30.9%, the    median duration of BF was 9 months, and the national proportion of children    ever breast-fed was 92.3%. The probability of EBF for the first 4 months decreased    with the infant's age, was higher in indigenous children and was not related    to maternal education or employment. An interaction between infant sex and SEL    was found: while the probability of EBF did not change much by SES in girls,    it decreased sharply as SES increased in boys.<SUP>17</SUP> </font></p>     <p>&nbsp;</p>     <p><font size="3" face="Verdana"><b>Discussion and Conclusions </b></font></p>     <p><font size="2" face="Verdana">Malnutrition remains a serious public health    problem in Mexico due to the magnitude of individuals affected in different    stages of their lifecycle and the impact that this condition has on their health    and performance. Stunting, several micronutrient deficiencies, overweight and    obesity are now the main malnutrition problems in Mexico. </font></p>     ]]></body>
<body><![CDATA[<p><font size="2" face="Verdana"> Stunting is present in almost one fifth of children    &lt; 5 years; the principal micronutrient deficiencies are iron deficiency which    affects two thirds of children 1-2 years and one third to half of individuals    at other ages, zinc deficiency in one fifth to one third individuals at different    ages, vitamin A deficiency in 10%-30% children but not in women, vitamin C deficiency    in 20%-40% of individuals at different ages, and folic acid deficiency in less    than 10% at most ages. Overweight and obesity combined affect almost one fifth    of all children 5-11 years and almost 60% of women (18-49 years). </font></p>     <p><font size="2" face="Verdana"> The results come from a probabilistic national    survey on almost 18,000 households, which produced reliable estimates of nutritional    status for the entire population of Mexico, for urban and rural areas, and for    the four regions. Micronutrient deficiencies were the only indicators for which    sample sizes were not large enough to make regional comparisons. </font></p>     <p><font size="2" face="Verdana"> The high proportion of women and children with    dietary inadequacies related to Vitamin A, Vitamin C, folate, zinc, and iron    intake are in general consistent with the deficiencies found in these same micronutrients    using biochemical indicators. This affirms the direct link between inadequate    dietary intake and the high prevalence of micronutrient deficiencies in M&eacute;xico,    despite the evidence of underreporting dietary intake. </font></p>     <p><font size="2" face="Verdana"> The main exception to the consistency between    dietary intake and deficiency, as assessed by biochemical indicators, is iron.    The actual prevalence of iron deficiency in women and children is much higher    than what would be expected from the risk as assessed by iron dietary intake.    This apparent discrepancy between dietary intake and the blood concentration    of the mineral can be explained in part by the bioavailability of different    types of iron consumed in the population and by other dietary factors that inhibit    the absorption of iron. A high proportion of the population in Mexico consume    small amounts of meat, the source of heme iron which is most bioavailable, but    consume large amounts of corn and beans which contain important quantities of    phytic acid and other inhibitors of iron absorption. Consumption of milk, which    also inhibits the absorption of iron when consumed in large quantities, is also    relatively high<SUP>33</SUP> For example, children &lt; 5 years consume on average    215 g of milk and milk products, 75 g of tortillas and only 20 g of meat per    day; children 5-11 years 180 g of milk, 160 g of tortillas, 45 g of beans and    only 32 g of meat per day; and women 126 g of milk, 200 g of tortillas, 40 g    of beans and only 40 g of meat per day.<SUP>33</SUP> An analysis of the NNS-1999,    published elsewhere,<SUP>34</SUP> estimated iron bioavailability using dietary    data in the sub-sample of children &lt; 5 years of age (<I>n</I>=919). We found    that the dietary intake of iron was relatively high (6.2&plusmn;mg); however,    only 0.3 mg were heme iron and the intake of phytic acid was very high (670    mg). The resulting bioavailable iron was only 0.25 mg (3.9% of all iron). This     amount did not satisfy the mean physiologic    requirements for this age group (0.54 and 0.87 mg for 1-3 and 4-6 year old children,    respectively).<SUP>35</SUP> </font></p>     <p><font size="2" face="Verdana"> Another discrepancy between the reported data    on dietary intake and other evidence of nutritional status was that energy intake    was universally low; while there is little wasting in children and a high prevalence    of overweight and obesity in school age children and women. This is a reflection    of the twenty-four hour recall method of dietary assessment, which tends to    underestimate mean intakes.<SUP>36</SUP> The degree of underestimation varies    in different populations and may be associated with particular socio-cultural    characteristics of the population. We have clear evidence of under-reporting    in obese women (BMI <u>&gt;</u>30), who reported lower energy intake relative    to estimated needs than non-obese women. Under-reporting in obese women was    in the order of 80 Kcal (p&lt;0.05) or 11.6% when expressed as a percent of    energy requirements.<SUP>12</SUP> Therefore, the discrepancy between the apparently    low energy intake and the high prevalence of obesity are likely due to under-reporting.    </font></p>     <p><font size="2" face="Verdana">Under-reporting of intake may vary between micronutrients;    this potential under-reporting may limit the validity of our data on micronutrient    dietary intake. However, since the reported consumption of these nutrients was    so low, even when under-reporting is taken into consideration it suggests that    real deficiencies exist in a significant proportion of the population. </font></p>     <p><font size="2" face="Verdana"> Most problems of undernutrition (stunting, anemia    and some micronutrient deficiencies) are more prevalent in the poorest population:    the south region, those living in rural areas and in indigenous families, and    those belonging to the lower distribution of the SES indicator. Some of the    differences in the prevalences by sub-populations were striking. For example,    stunting was ~ 3 times more prevalent in rural than urban areas and in indigenous    relative to non-indigenous children, the Rural south had a prevalence that was    ~ 7 times higher than the urban north and the prevalence in the lower SES decile    was 10 fold of that found in the upper decile. The prevalences of children and    women with inadequate intakes of micronutrients were also higher among the poor.    </font></p>     <p><font size="2" face="Verdana"> Also, stunting, anemia and some micronutrient    deficiencies, such as iron deficiency were more common during the first or second    years of life. The strong association of undernutrition and micronutrient deficiencies    with geographic, ethnic, socioeconomic factors and age indicate the need to    target policies and programs for the prevention of undernutrition to the sub-populations    with the highest prevalences. It is important to target the rural areas, the    south, the indigenous population, and the lower socioeconomic groups. Also,    policies or programs aimed at preventing stunting should target the gestation    and the first two years of life, when stunting and micronutrient deficiencies    occur. This is in agreement with findings from controlled supplementation trials    that demonstrated higher effects of dietary improvements during gestation and    the first two years of life.<SUP>37, 38</SUP> </font></p>     <p><font size="2" face="Verdana"> There is a clear need to develop policy and    programs aimed at increasing the intake of iron, zinc, vitamin C, vitamin A,    folic acid and calcium. Evidence from controlled trials indicates that supplementation    with zinc<SUP>39</SUP> and other micronutrients<SUP>40, 41</SUP> have positive    effects on growth and reduces morbidity. The prevention of iron deficiency and    anemia should start relatively early in life, by 4-6 months of life, when the    iron reserves at birth may already be depleted. Other micronutrient status should    be also improved early in life (since 6 months of age) to have larger effects    on growth and nutritional status as shown by early supplementation with multiple    micronutrients.<SUP>40</SUP> Promotion of exclusive breastfeeding during the    first six months of life must be an important component of any nutrition intervention    in infants, given its positive effects on survival, nutritional status, cognitive    development and prevention of infections and the possible reduction in risk    of obesity later in life.<SUP>17</SUP> </font></p>     <p><font size="2" face="Verdana"> The decline in wasting in children between 1988    and 1999 was quite dramatic and is most likely the result of universal health    programs aimed at this population, such as ORT and vaccination and probably    to better diets. The average observed reduction in stunting for South America    between 1990 and 2000 <SUP>42</SUP> was 7.9 percent points (45.9% relative to    baseline).<SUP>42</SUP> Far less impressive were the gains made in Mexico within    the same time frame, with an absolute decline of 5.1 percent points (22.4% relative    to baseline); this is despite the fact that Mexico has a tradition of high expenditure    in food distribution programs.<SUP>43</SUP> These programs, enacted through    1988-1999, my not have reached their potential impact in part due to inadequate    design and ineffective targeting of vulnerable populations.<SUP>44</SUP> </font></p>     ]]></body>
<body><![CDATA[<p><font size="2" face="Verdana"> A number of large scale programs aimed at preventing    and controlling undernutriton and micronutrient deficiencies are currently being    implemented by the government and by non-government organizations. Some of the    largest programs were designed or modified on the basis of the results of the    NNS-1999 and incorporated evidence-based recommendations that improved their    design and targeting substantially. One example is <I>Oportunidades</I> (formerly    <I>Progresa</I>), a federal poverty alleviation program that combines a traditional    cash transfer program with financial incentives for positive behaviors. Families    do not receive the cash  benefit unless    they regularly attend health clinics, receive health education, and keep their    children enrolled in and attending school. It begun in 1997 as a national program    designed to address the immediate needs of extreme poverty and break its intergenerational    transmission. The program covers currently approximately 4.2 million families    (about 20% of all households) in both urban and rural areas that are selected    on the basis of their low income. In addition to the cash transfers, the program    provides micronutrient fortified foods to all children 4-23 months of age, to    underweight children of 2-4 years and to pregnant and lactating women. A unique    feature of the nutrition component of the program is its design by a group of    experts in nutrition on the basis of existing evidence on the nutritional status    of the population.<SUP>45-47</SUP> Supplements were thus specifically designed    for young children and women and contained the nutrients most deficient in their    diet. <SUP>48</SUP> The program was targeted to low income families, children    &lt; 2 years and pregnant and lactating women and has a strong evaluation component    as an essential part of the design.<SUP>49</SUP> Evaluation of the nutritional    impact of the program is in progress. Partial results indicate that children    who were beneficiaries of the program were 25.5 percent less likely to be anemic    and grew about 1 centimeter more after a year of program benefits than similar    children who were not beneficiaries.<SUP>50</SUP> </font></p>     <p><font size="2" face="Verdana"> Other examples include a large scale multiple-micronutrient    supplementation program which was directly motivated by the results of the NNS-1999    and thus aims to prevent anemia and micronutrient deficiencies in infants in    predominantly indigenous communities. A subsidized milk distribution program,    implemented during the last three decades,<SUP>43</SUP> was recently modified    on the basis of the NNS-1999 results. The program now gives weight to the importance    of iron and zinc deficiencies by fortifying the milk with iron, zinc, vitamin    C and other micronutrients deficient in the diets of children. The fortified    milk is currently being distributed to about 4.6 million children 1-12 years    of age. Evaluation of efficacy and effectiveness of the fortified milk program    are currently underway. </font></p>     <p><font size="2" face="Verdana"> Other programs-in-progress include the provision    of vitamin A mega-doses to infants and young children of low income areas during    immunization campaigns and the fortification of wheat flour and corn flour used    to prepare tortillas.<SUP>43</SUP> </font></p>     <p><font size="2" face="Verdana"> All the programs described above (except the    fortification program) require education activities to ensure that the foods    or supplements distributed reach the right individuals and are consumed in adequate    amounts and frequency, in a sustainable manner. Nutrition education is also    essential for improving the quality of the diet and care giving practices, even    if supplements or food are distributed. One of the weaknesses of several programs    that are currently underway in Mexico is the quality of their nutrition education    component. State-of-the art approaches for the development of a communications    strategy to effectively improve child-feeding and care giving practices, such    as social marketing and formative research should be used.<SUP>51-53</SUP> </font></p>     <p><font size="2" face="Verdana"> There is already good evidence that the combination    of the different large scale, targeted programs described above will reduce    the burden of undernutrition and micronutrient deficiencies in children and    women. Evaluations currently in progress, as well as results of future probabilistic    surveys, will inform adjustments or modifications of their design and implementation.    In the meantime, however, much can be done to improve the potential impact of    the programs by strengthening their nutritional education components. </font></p>     <p><font size="2" face="Verdana"> In contrast to undernutrition, little is being    done for the prevention and control of overweight and obesity. The dramatic    increase between 1988 and 1999 of overweight and obese Mexicans signals an epidemiological    emergency. The prevalence of overweight increased almost 50% and the prevalence    of obesity increased more than three times over. </font></p>     <p><font size="2" face="Verdana"> These dramatic changes in such a short period    of time indicate that environmental factors are involved. Among the environmental    factors that are likely responsible for this increase are greater intakes of    energy-dense and low fiber diets in combination with reduced physical activity.    It is likely that these environmental variables interact with genetic factors,    resulting in a sharp increase in obesity. </font></p>     <p><font size="2" face="Verdana"> There is solid evidence in the literature that    obesity is a risk factor for various nutrition-related chronic diseases (NRCD),    including type 2 diabetes, high blood pressure, cardiovascular disease (including    stroke), some types of cancer, and other diseases<SUP>3 </SUP>which prematurely    disable and kill a large proportion of economically productive individuals.    Further, the cost of their treatment imposes an unacceptable burden on health    systems. </font></p>     <p><font size="2" face="Verdana"> For example, the impressive increase in the    prevalence of overweight and obesity in Mexico is parallel to increases in age-adjusted    death rates for various NRCD like diabetes mellitus, acute myocardial infarction    and high blood pressure.<SUP>32</SUP> If action is not taken soon, the epidemic    of overweight and obesity may continue to grow and its impact on NRCD and the    related demand for health services may be devastating. </font></p>     <p><font size="2" face="Verdana"> Unfortunately there is little experience at    the national level as well as internationally on effective interventions that    prevent and control the growing epidemic     of overweight and obesity. Study of the determinants of overweight and obesity    and the design and evaluation of prevention strategies for controlling obesity    in the population, based on existing evidence and international experience,    is urgently needed and success stories should be brought to scale quickly to    maximize impact. The possible interventions and actions that may prove to be    effective include the promotion of physical activity at school and in the workplace,    urban planning to encourage the use of public transportation, safe bicycling,    expansion of parks and green areas for walking and exercising, less time watching    television, and more active leisure. Also, the promotion of breastfeeding and    adequate complementary feeding practices and the promotion of healthy diets,    including higher intake of non-starchy vegetables, fruits, legumes, nuts and    whole grain products and lower intake of sugars, sodas, and saturated fats.    The intake of healthy diets may be achieved through effective comunications    strategies, food price and trade incentives, agricultural policies and control    of mass media advertisement of less healthy foods. </font></p>     ]]></body>
<body><![CDATA[<p><font size="2" face="Verdana"> The holistic purpose of health and nutrition    surveys is their application in creating public awareness for both advocacy    among policy makers and to inform interventions to improve public health and    nutrition. The National Institute of Public Health has made significant efforts    to achieve this. Over four years have passed since completion of the NNS-1999.    This has been an intensive period of presentations given to decision makers,    the private sector, the media, students and the scientific community in Mexico.    It has also been a time to disseminate through publications such as this one    in <I>Salud P&uacute;blica de M&eacute;xico.</I> While the results of the survey    have been used for planning new nutrition interventions or improving the design    of others that were already underway, the real measure of impact on the health    of our society remains to be seen. </font></p>     <p>&nbsp;</p>     <p><font size="3" face="Verdana"><b>References </b></font></p>     <!-- ref --><p><font size="2" face="Verdana">1. Martorell R. Results and implications of the    INCAP follow-up study. J Nutr 1995;125:1127S-1138S. </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=9187976&pid=S0036-3634200300100001300001&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p><font size="2" face="Verdana">2. 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Cuernavaca, Morelos,    M&eacute;xico: Instituto Nacional de Salud P&uacute;blica. 1999:7-57. </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=9188022&pid=S0036-3634200300100001300047&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p><font size="2" face="Verdana">48. Rosado JL, Rivera J, L&oacute;pez G, Solano    L. Development, production, and quality control of nutritional supplements for    a national supplementation programme in Mexico. Food Nutr Bull 2000;21:30-34.    </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=9188023&pid=S0036-3634200300100001300048&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p><font size="2" face="Verdana">49. Rivera J, Rodr&iacute;guez G, Shamah T, Rosado    JL, Casanueva E, Maul&eacute;n I <I>et al. </I>Implementation, monitoring, and    evaluation of the nutrition component of the Mexican Social Programme (PROGRESA).    Food Nutr Bull 2000; 21(1):35-42. </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=9188024&pid=S0036-3634200300100001300049&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p><font size="2" face="Verdana">50. Gertler P, Rivera JA, Levy S, Sep&uacute;lveda    J. Mexico's PROGRESA: Using a poverty alleviation program as an incentive for    poor families to invest in child health. (submitted for publication). </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=9188025&pid=S0036-3634200300100001300050&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p><font size="2" face="Verdana">51. Mora JO. What are the relative roles of processed    complementary foods and behavioural change in improving nutritional status?    The need for a market-oriented approach. Food Nutr Bull 2000: 21:83-86. </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=9188026&pid=S0036-3634200300100001300051&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p><font size="2" face="Verdana">52. Rivera-Dommarco J, Santizo MC, Hurtado E.    Dise&ntilde;o y evaluaci&oacute;n de un programa educativo para mejorar las    pr&aacute;cticas de alimentaci&oacute;n en ni&ntilde;os de 6 a 24 meses de edad    en comunidades rurales de Guatemala. Washington, DC: Organizaci&oacute;n Panamericana    de la Salud, 1988. </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=9188027&pid=S0036-3634200300100001300052&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p><font size="2" face="Verdana">53. Dickin K, Griffiths M, Piwoz E. Designing    by dialogue: A program planner's guide to consultative research for improving    young child feeding. Washington, DC, Academy for Educational Development, 1997.</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=9188028&pid=S0036-3634200300100001300053&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><p>&nbsp;</p>     <p>&nbsp;</p>     <p><font size="2" face="Verdana"><a name="end"></a>Address reprint requests to    <br>   Juan A Rivera    ]]></body>
<body><![CDATA[<br>   Centro de Investigaci&oacute;n en Nutrici&oacute;n y Salud, Instituto Nacional    de Salud P&uacute;blica    <BR>   Avenida Universidad No 655    <br>   colonia Santa Mar&iacute;a Ahuacatitlan    <br>   62508 Cuernavaca Morelos, M&eacute;xico    <BR>   E-mail: <a href="mailto:jrivera@insp.mx">jrivera@insp.mx</a></font></p>     <p><font size="2" face="Verdana"><B>Received on: </B>October 23, 2003 <B>    <br>   Accepted on: </B>October 23, 2003 </font></p>      ]]></body><back>
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