﻿<?xml version="1.0" encoding="UTF-8"?>
<ArticleSet>
  <Article>
    <Journal>
      <PublisherName>Nickan Research Institute</PublisherName>
      <JournalTitle>Journal of Parathyroid Disease</JournalTitle>
      <Issn>2345-6558</Issn>
      <Volume>9</Volume>
      <Issue>1</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2021</Year>
        <Month>01</Month>
        <DAY>01</DAY>
      </PubDate>
    </Journal>
    <ArticleTitle>Relationship between body mass index and bone mineral density in Mashhad, Iran; a cross-sectional Study</ArticleTitle>
    <FirstPage>e03</FirstPage>
    <LastPage>e03</LastPage>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName>Nayyereh</FirstName>
        <LastName>Saadati</LastName>
        <Identifier Source="ORCID">https://orcid.org/0000-0002-4589-8091</Identifier>
      </Author>
      <Author>
        <FirstName>Maryam</FirstName>
        <LastName>Miri</LastName>
        <Identifier Source="ORCID">https://orcid.org/0000-0002-9962-6753</Identifier>
      </Author>
    </AuthorList>
    <PublicationType>Journal Article</PublicationType>
    <ArticleIdList>
      <ArticleId IdType="doi">
      </ArticleId>
    </ArticleIdList>
    <History>
      <PubDate PubStatus="received">
        <Year>2020</Year>
        <Month>05</Month>
        <Day>19</Day>
      </PubDate>
      <PubDate PubStatus="accepted">
        <Year>2020</Year>
        <Month>08</Month>
        <Day>06</Day>
      </PubDate>
    </History>
    <Abstract>Introduction: There is controversy regarding the effect of body weight on bone mineral density (BMD). Objectives: The aim of this study was to assess the relationship between body mass index (BMI) and BMD among a sample of Iranian citizens. Patients and Methods: This cross-sectional study was conducted on Iranian citizens who referred to Ghaem Hospital, Mashhad, Iran for bone densitometry. Measurements included weight, height, BMI and dual X-ray absorptiometry (DEXA) parameters including femoral T-score (FT) and Z-score (FZ) and lumbar spine T-score (LT) and Z-score (LZ). Data were analyzed using the statistical package for social sciences (SPSS) software version 22. Results: A total of 302 subjects (15.2% male and 84.8% female) with the mean age of 55.15 ± 12.03 years participated in the study. The prevalence of osteopenia based on TF and TL was 2.3% and 3.0% respectively. The prevalence of osteoporosis based on TF and TL was 1.0% and 3.0% respectively. Age was significantly correlated with TL and ZL (r=-0.17, P=0.002 and r=-0.12, P=0.037 respectively). BMI was significantly interrelated with TF (r=0.17, P=0.009) and ZF (r=0.20, P=0.02). FT was significantly correlated with age (r=-0.12, P=0.045). TL was significantly higher in &lt;40 years group compared to &gt;55 years group (P=0.003).TF was significantly higher in &lt;40 years group compared to &gt;55 years group (P=0.030). BMI was significantly correlated with FZ among post-menopausal women (r=0.34, P&lt;0.001). Conclusion: This study showed that higher BMI was associated with higher FT and FZ while only FZ was correlated with BMI among post-menopausal women.</Abstract>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">Bone mineral density</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Body mass index</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Osteoporosis</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Osteopenia</Param>
      </Object>
    </ObjectList>
  </Article>
</ArticleSet>