﻿<?xml version="1.0" encoding="UTF-8"?>
<ArticleSet>
  <Article>
    <Journal>
      <PublisherName>Tabriz University of Medical Sciences</PublisherName>
      <JournalTitle>Health Promotion Perspectives</JournalTitle>
      <Issn>2228-6497</Issn>
      <Volume>14</Volume>
      <Issue>4</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2024</Year>
        <Month>12</Month>
        <DAY>30</DAY>
      </PubDate>
    </Journal>
    <ArticleTitle>A pragmatic multi-setting healthy lifestyle intervention to improve BMI status in a middle-income population: A potential strategy for individuals at risk</ArticleTitle>
    <FirstPage>369</FirstPage>
    <LastPage>379</LastPage>
    <ELocationID EIdType="doi">10.34172/hpp.43196</ELocationID>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName>Reza</FirstName>
        <LastName>Yari-Boroujeni</LastName>
        <Identifier Source="ORCID">https://orcid.org/0000-0002-9764-638X</Identifier>
      </Author>
      <Author>
        <FirstName>Leila</FirstName>
        <LastName>Cheraghi</LastName>
      </Author>
      <Author>
        <FirstName>Parnian</FirstName>
        <LastName>Parvin</LastName>
      </Author>
      <Author>
        <FirstName>Fatemeh</FirstName>
        <LastName>Shiravi</LastName>
      </Author>
      <Author>
        <FirstName>Hasti</FirstName>
        <LastName>Masihay-Akbar</LastName>
        <Identifier Source="ORCID">https://orcid.org/0000-0001-9918-5815</Identifier>
      </Author>
      <Author>
        <FirstName>Amirabbas</FirstName>
        <LastName>Momenan</LastName>
      </Author>
      <Author>
        <FirstName>Arash</FirstName>
        <LastName>Ghanbarian</LastName>
      </Author>
      <Author>
        <FirstName>Parvin</FirstName>
        <LastName>Mirmiran</LastName>
      </Author>
      <Author>
        <FirstName>Davood</FirstName>
        <LastName>Khalili</LastName>
      </Author>
      <Author>
        <FirstName>Fereidoun</FirstName>
        <LastName>Azizi</LastName>
      </Author>
      <Author>
        <FirstName>Parisa</FirstName>
        <LastName>Amiri</LastName>
        <Identifier Source="ORCID">https://orcid.org/0000-0002-3198-4941</Identifier>
      </Author>
    </AuthorList>
    <PublicationType>Journal Article</PublicationType>
    <ArticleIdList>
      <ArticleId IdType="doi">10.34172/hpp.43196</ArticleId>
    </ArticleIdList>
    <History>
      <PubDate PubStatus="received">
        <Year>2024</Year>
        <Month>05</Month>
        <Day>18</Day>
      </PubDate>
      <PubDate PubStatus="accepted">
        <Year>2024</Year>
        <Month>10</Month>
        <Day>17</Day>
      </PubDate>
    </History>
    <Abstract>Background: To evaluate a multi-setting lifestyle intervention’s effect on body mass index (BMI) across the entire spectrum in a middle-income adult population over 15 years. Methods: This pragmatic interventional study included 5153 adults (≥20 years) from a middle-income community, followed for over 15 years with five follow-ups. A multi-setting intervention (school, family, community) aimed to promote healthy lifestyles. The lambda-mu sigma (LMS) method and quantile regression model were used to analyze changes in BMI percentiles (10th-90th) by sex and intervention group. Results: The intervention showed modest effects on BMI percentiles. In men, it lowered BMI at the 40th and 70th percentiles (overweight/obesity onset) at the first follow-up (β=-0.16, 95% CI: -0.33, -0.001 and β=-0.21, 95% CI: -0.38, -0.04 respectively). In women, the effect emerged later (second follow-up) at the 20th (β=-0.39, 95% CI: -0.60, -0.18), 30th (β=-0.27, 95% CI: -0.49, -0.04), and 60th (β=-0.20, 95% CI: -0.39, -0.02) percentiles (overweight risk), extending to more overweight percentiles (20th-50th) in the third follow-up (βs ranged from -0.28 until -0.26). Conclusion: Our results indicated the effectiveness of a practical lifestyle intervention to control rising trend of BMI at the onset of overweight and obesity in a middle-income population. These findings can be useful for planning obesity prevention programs in communities with similar socioeconomic statuses.  </Abstract>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">Body mass index</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Developing countries</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Health promotion</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Obesity</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Quantile regression analysis</Param>
      </Object>
    </ObjectList>
  </Article>
</ArticleSet>