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[journal article]

dc.contributor.authorLinder, Stephaniede
dc.contributor.authorAbu-Omar, Karimde
dc.contributor.authorGeidl, Wolfgangde
dc.contributor.authorMessing, Svende
dc.contributor.authorSarshar, Mustafade
dc.contributor.authorReimers, Anne K.de
dc.contributor.authorZiemainz, Heikode
dc.date.accessioned2022-03-21T14:41:16Z
dc.date.available2022-03-21T14:41:16Z
dc.date.issued2021de
dc.identifier.issn1932-6203de
dc.identifier.urihttps://www.ssoar.info/ssoar/handle/document/78140
dc.description.abstractBackground: Adults with diabetes or obesity are more likely to be physically inactive than healthy adults. Physical activity is essential in the management of both diseases, necessitating targeted interventions in these groups. This study analysed physical inactivity (defined as not taking part in leisure-time physical activity) in over 100,000 adults in Germany considering their body mass index and the presence of diabetes. Furthermore, the relationship between specific socio-demographic factors with physical inactivity was investigated, particularly focussing diabetic and obese people, to refine the identification of risk-groups for targeted interventions on physical activity promotion. Methods: Data from 13 population-based health surveys conducted in Germany from 1997 to 2018 were used. The relevant variables extracted from these datasets were merged and employed in the analyses. We included data from 129,886 individuals in the BMI analyses and 58,311 individuals in the diabetes analyses. Logistic regression analyses were performed to identify the importance of six socio-demographic variables (age, sex/gender, education, income, employment, and migration) for the risk of physical inactivity. Results: Obese and diabetic people reported a higher prevalence of physical inactivity than those who were not affected. Logistic regression analyses revealed advanced age, low education level, and low household income as risk factors for physical inactivity in all groups. A two-sided migration background and unemployment also indicated a higher probability of physical inactivity. Conclusion: Similar socio-demographic barriers appear to be important determinants of physical inactivity, regardless of BMI status or the presence of diabetes. However, physical activity promoting interventions in obese and diabetic adults should consider the specific disease-related characteristics of these groups. A special need for target group specific physical activity programmes in adults from ethnic minorities or of advanced age was further identified.de
dc.languageende
dc.subject.ddcSozialwissenschaften, Soziologiede
dc.subject.ddcSocial sciences, sociology, anthropologyen
dc.subject.ddcMedizin und Gesundheitde
dc.subject.ddcMedicine and healthen
dc.subject.otherZA3000: ALLBUS/GGSS 1998 (Allgemeine Bevölkerungsumfrage der Sozialwissenschaften/German General Social Survey 1998) (Data file Version 2.0.0); ZA3762: ALLBUS/GGSS 2004 (Allgemeine Bevölkerungsumfrage der Sozialwissenschaften/German General Social Survey 2004) (Data file Version 2.0.0); ZA5664: GESIS Panel - Extended Edition (Data file Version 24.0.0); ZA5240: ALLBUS/GGSS 2014 (Allgemeine Bevölkerungsumfrage der Sozialwissenschaften/German General Social Survey 2014) (Data file Version 2.2.0); BGS 98; GSTel03; NBS; DEGS1; GEDA 2009, 2010, 2012, 2014; SHARE-WAVE 5de
dc.titlePhysical inactivity in healthy, obese, and diabetic adults in Germany: An analysis of related socio-demographic variablesde
dc.description.reviewbegutachtet (peer reviewed)de
dc.description.reviewpeer revieweden
dc.source.journalPLOS ONE
dc.source.volume16de
dc.publisher.countryUSAde
dc.source.issue2de
dc.subject.classozGesundheitspolitikde
dc.subject.classozHealth Policyen
dc.subject.classozMedizin, Sozialmedizinde
dc.subject.classozMedicine, Social Medicineen
dc.subject.thesozkörperliche Bewegungde
dc.subject.thesozphysical exerciseen
dc.subject.thesozErwachsenerde
dc.subject.thesozadulten
dc.subject.thesozBundesrepublik Deutschlandde
dc.subject.thesozFederal Republic of Germanyen
dc.subject.thesozÜbergewichtde
dc.subject.thesozoverweighten
dc.subject.thesozchronische Krankheitde
dc.subject.thesozchronic illnessen
dc.subject.thesozsoziale Faktorende
dc.subject.thesozsocial factorsen
dc.subject.thesozdemographische Faktorende
dc.subject.thesozdemographic factorsen
dc.subject.thesozLebensalterde
dc.subject.thesozageen
dc.subject.thesozGeschlechtde
dc.subject.thesozgenderen
dc.subject.thesozBildungde
dc.subject.thesozeducationen
dc.subject.thesozBildungsniveaude
dc.subject.thesozlevel of educationen
dc.subject.thesozEinkommende
dc.subject.thesozincomeen
dc.subject.thesozHaushaltseinkommende
dc.subject.thesozhousehold incomeen
dc.subject.thesozBeschäftigungde
dc.subject.thesozemploymenten
dc.subject.thesozArbeitslosigkeitde
dc.subject.thesozunemploymenten
dc.subject.thesozMigrationde
dc.subject.thesozmigrationen
dc.subject.thesozMigrationshintergrundde
dc.subject.thesozmigration backgrounden
dc.subject.thesozRegressionsanalysede
dc.subject.thesozregression analysisen
dc.identifier.urnurn:nbn:de:0168-ssoar-78140-1
dc.rights.licenceCreative Commons - Namensnennung 4.0de
dc.rights.licenceCreative Commons - Attribution 4.0en
ssoar.contributor.institutionFDBde
internal.statusformal und inhaltlich fertig erschlossende
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dc.type.stockarticlede
dc.type.documentZeitschriftenartikelde
dc.type.documentjournal articleen
dc.source.pageinfo1-14de
internal.identifier.classoz11006
internal.identifier.classoz50100
internal.identifier.journal1433
internal.identifier.document32
internal.identifier.ddc300
internal.identifier.ddc610
dc.identifier.doihttps://doi.org/10.1371/journal.pone.0246634de
dc.description.pubstatusVeröffentlichungsversionde
dc.description.pubstatusPublished Versionen
internal.identifier.licence16
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dc.subject.classhort50100de
dc.subject.classhort11000de
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