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  <doc>
    <id>29203</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1</pageFirst>
    <pageLast>13</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume>22</volume>
    <type>articler</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2022-08-01</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Associations of individual factors and early childhood education and care (ECEC) centres characteristics with preschoolers’ BMI in Germany</title>
    <abstract language="eng">Background&#13;
&#13;
The number of obese children is rising worldwide. Many studies have investigated single determinants of children’s body mass index (BMI), yet studies measuring determinants at different potential levels of influence are sparse. The aim of this study is to investigate the independent role of parental socioeconomic position (SEP), additional family factors at the micro level, as well as early childhood education and care (ECEC) centre characteristics at the meso level regarding BMI.&#13;
Methods&#13;
&#13;
Analyses used the baseline data of the PReschool INtervention Study (PRINS) including up to 1,151 children from 53 ECEC centres. Multi-level models first estimated the associations of parental SEP indicators (parental school education, vocational training, and household income) with the children’s standard deviation scores for BMI (SDS BMI, standardised for age and gender). Second, structural (number of siblings), psychosocial (strained family relationships), and nutrition behavioural (soft-drink consumption, frequency of fast-food restaurant visits) family factors at the micro level were included. Third, characteristics of the ECEC centre at the meso level in terms of average group size, the ratio of overweight children in the group, ECEC centre type (all-day care), and the location of the ECEC centre (rural vs urban) were included. All analyses were stratified by gender and adjusted for age, migration background, and parental employment status.&#13;
Results&#13;
&#13;
Estimates for boys and girls appeared to differ. In the full model, for boys the parental SEP indicators were not related to SDS BMI. Factors related to SDS BMI in boys were: two or more siblings; B = -.55; p = 0.045 [ref.: no sibling]), the characteristics of the ECEC centre in terms of average group size (20 – 25 children; B = -.54; p = 0.022 [ref.: &lt; 20 children]), and the ratio of overweight children (more overweight children B = -1.39; p &lt; 0.001 [ref.: few overweight children]). For girls the number of siblings (two and more siblings; B = .67; p = 0.027 [ref.: no sibling]) and average group size (&gt; 25 children; B = -.52; p = 0.037 [ref.: &lt; 20 children]) were related to SDS BMI.&#13;
Conclusions&#13;
&#13;
The BMI of preschool children appears to be associated with determinants at the micro and meso level, however with some gender differences. The identified factors at the micro and meso level appear largely modifiable and can inform about possible interventions to reduce obesity in preschool children.</abstract>
    <parentTitle language="eng">BMC Public Health</parentTitle>
    <identifier type="url">https://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-022-13814-5</identifier>
    <identifier type="doi">10.1186/s12889-022-13814-5</identifier>
    <identifier type="issn">1471-2458</identifier>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="Artikelnummer">1415</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">false</enrichment>
    <enrichment key="Fprofil">2 Gesundheit und Lifes Sciences / Health and Life Sciences</enrichment>
    <author>
      <firstName>Raphael</firstName>
      <lastName>Herr</lastName>
    </author>
    <submitter>
      <firstName>Marie</firstName>
      <lastName>Tallarek</lastName>
    </submitter>
    <author>
      <firstName>Freia</firstName>
      <lastName>De Bock</lastName>
    </author>
    <author>
      <firstName>Katharina</firstName>
      <lastName>Diehl</lastName>
    </author>
    <author>
      <firstName>Eva</firstName>
      <lastName>Wiedemann</lastName>
    </author>
    <author>
      <firstName>Elena</firstName>
      <lastName>Sterdt</lastName>
    </author>
    <author>
      <firstName>Miriam</firstName>
      <lastName>Blume</lastName>
    </author>
    <author>
      <firstName>Stephanie</firstName>
      <lastName>Hoffmann</lastName>
    </author>
    <author>
      <firstName>Max</firstName>
      <lastName>Herke</lastName>
    </author>
    <author>
      <firstName>Marvin</firstName>
      <lastName>Reuter</lastName>
    </author>
    <author>
      <firstName>Iryna</firstName>
      <lastName>Iashchenko</lastName>
    </author>
    <author>
      <firstName>Sven</firstName>
      <lastName>Schneider</lastName>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>BMI</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Obesity</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Preschool children</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>ECEC centres</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Kindergarten</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Meso level</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Socioeconomic position</value>
    </subject>
    <collection role="institutes" number="4102">FG Gesundheitswissenschaften</collection>
  </doc>
  <doc>
    <id>30580</id>
    <completedYear/>
    <publishedYear>2023</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume>33</volume>
    <type>articler</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2023-03-28</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Do family characteristics contribute to a socioeconomic gradient in overweight in early childhood? – Single mediation analyses of data from German preschool children</title>
    <abstract language="eng">Children’s overweight is strongly associated with family socioeconomic position (SEP) and family characteristics (FC). There is limited research on the extent to which FC account for a socioeconomic gradient in childhood overweight. This study examined whether FC explain SEP differences in the prevalence of overweight. The study used baseline data of preschool-aged children from the German ‘PReschool INtervention Study’. The sample (n = 872, 48% girls) was recruited at kindergartens in Baden-Württemberg, Germany. Data included children’s measured weight status and parents’ reports on socioeconomic indicators (e.g., school education, vocational education, income) and FC. Variables represent main determinants of overweight (nutrition: sweets consumption in front of TV, soft drink consumption, regular breakfast, child sets table; physical activity: outdoor sports; parental role model). In single mediation analyses indirect effects of SEP on overweight were analysed (OR[95%CI]). Preschool girls and boys with low parental education had higher odds for overweight than children with high parental education. Among boys, low levels of parental education contributed to the odds of overweight via indirect effects by both factors ‘sweets consumption in front of TV’ (OR = 1.31[1.05–1.59]) and ‘no sports’ (OR = 1.14[1.01–1.38]). Among girls, FC measured did not explain SEP differences in overweight. Family nutrition and parental/family physical activity contribute to inequalities in overweight among preschool boys, but not girls. Research is needed to identify FC that explain inequalities in overweight for both.</abstract>
    <parentTitle language="eng">Preventive Medicine Reports</parentTitle>
    <identifier type="doi">10.1016/j.pmedr.2023.102178</identifier>
    <identifier type="issn">2211-3355</identifier>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="Artikelnummer">102178</enrichment>
    <enrichment key="Publikationsweg">Open Access</enrichment>
    <enrichment key="Fprofil">2 Gesundheit und Lifes Sciences / Health and Life Sciences</enrichment>
    <author>
      <firstName>Stephanie</firstName>
      <lastName>Hoffmann</lastName>
    </author>
    <submitter>
      <firstName>Stephanie</firstName>
      <lastName>Hoffmann</lastName>
    </submitter>
    <author>
      <firstName>Lydia</firstName>
      <lastName>Sander</lastName>
    </author>
    <author>
      <firstName>Petra</firstName>
      <lastName>Rattay</lastName>
    </author>
    <author>
      <firstName>Miriam</firstName>
      <lastName>Blume</lastName>
    </author>
    <author>
      <firstName>Claudia</firstName>
      <lastName>Hövener</lastName>
    </author>
    <author>
      <firstName>Sven</firstName>
      <lastName>Schneider</lastName>
    </author>
    <author>
      <firstName>Matthias</firstName>
      <lastName>Richter</lastName>
    </author>
    <author>
      <firstName>Claudia R.</firstName>
      <lastName>Pischke</lastName>
    </author>
    <author>
      <firstName>Wiebke</firstName>
      <lastName>Schüttig</lastName>
    </author>
    <author>
      <firstName>Freia</firstName>
      <lastName>De Bock</lastName>
    </author>
    <author>
      <firstName>Jacob</firstName>
      <lastName>Spallek</lastName>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Child</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Family</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Overweight</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Socioeconomic factors</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Socioeconomic health inequalities</value>
    </subject>
    <collection role="institutes" number="4102">FG Gesundheitswissenschaften</collection>
  </doc>
</export-example>
