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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">JDS</journal-id>
      <journal-title-group>
        <journal-title>Journal of Data Science</journal-title>
      </journal-title-group>
      <issn pub-type="epub">1680-743X</issn>
      <issn pub-type="ppub">1680-743X</issn>
      <publisher>
        <publisher-name>SOSRUC</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">2017_4-5</article-id>
	  <article-id pub-id-type="doi">10.6339/JDS.201704_15(2).0005</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Anemia in Married Females of Uttar Pradesh and Its relation to Body Mass Index: Application of Poisson Regression</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Singh</surname>
            <given-names>Brijesh P.</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_000"/>
        </contrib>
        <aff id="j_JDS_aff_000">Faculty of Commerce &amp; DST-CIMS, Banaras Hindu University, Varanasi</aff>
        <contrib contrib-type="author">
          <name>
            <surname>Maheshwari</surname>
            <given-names>Sonam</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_001"/>
        </contrib>
        <aff id="j_JDS_aff_001">Department of Community Medicine, SRMS-IMS, Bareilly</aff>
        <contrib contrib-type="author">
          <name>
            <surname>Gupta</surname>
            <given-names>Puneet Kumar</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_002"/>
        </contrib>
        <aff id="j_JDS_aff_002">Department of Statistics, University of Allahabad, Allahabad</aff>
      </contrib-group>
      <volume>15</volume>
      <issue>2</issue>
      <fpage>267</fpage>
      <lpage>274</lpage>
      <permissions>
        <ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/"/>
      </permissions>
      <abstract>
        <p>Anemia is a common public health issue and multi-factorial condition which cuts across all the sections of the population and is associated with a variety of adverse outcomes, including mortality. According to the World Health Organization (WHO) anemia is defined as hemoglobin concentration in the blood. A female is anemic if hemoglobin concentration in the blood is less than 12 g/dl. Anemia is an indicator of poor nutrition and thus it is a public health issue which affects social and economic development of the region. The body mass index of married women is a high quality sign of a country’s health status as well as economic condition and generally it has four categories i.e. underweight, normal weight, overweight and obese. Body Mass Index (BMI) provides an indicator for supporting to wipe out many preventable diseases. Alteration in nutritional status plays an important role in the course of a person’s health. Hence, BMI can be used as an indicator for nutrition status, and association with some diseases can be expected. This study aimed to investigate the relationship between BMI and socioeconomic, demographic and health variables among 6723 currently married and non-pregnant women aged between 15-49 in Uttar Pradesh, India. In Indian population, overweight/obese women are significantly 86 percent more likely to be non-anemic, thus we may use BMI as a marker of anemia.</p>
      </abstract>
      <kwd-group>
        <label>Keywords</label>
        <kwd>Body Mass Index (BMI)</kwd>
        <kwd>Poisson Regression, Anemia</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
