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Physical inactivity in healthy, obese, and diabetic adults in Germany: An analysis of related socio-demographic variables
[journal article]
dc.contributor.author | Linder, Stephanie | de |
dc.contributor.author | Abu-Omar, Karim | de |
dc.contributor.author | Geidl, Wolfgang | de |
dc.contributor.author | Messing, Sven | de |
dc.contributor.author | Sarshar, Mustafa | de |
dc.contributor.author | Reimers, Anne K. | de |
dc.contributor.author | Ziemainz, Heiko | de |
dc.date.accessioned | 2022-03-21T14:41:16Z | |
dc.date.available | 2022-03-21T14:41:16Z | |
dc.date.issued | 2021 | de |
dc.identifier.issn | 1932-6203 | de |
dc.identifier.uri | https://www.ssoar.info/ssoar/handle/document/78140 | |
dc.description.abstract | Background: 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.language | en | de |
dc.subject.ddc | Sozialwissenschaften, Soziologie | de |
dc.subject.ddc | Social sciences, sociology, anthropology | en |
dc.subject.ddc | Medizin und Gesundheit | de |
dc.subject.ddc | Medicine and health | en |
dc.subject.other | ZA3000: 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 5 | de |
dc.title | Physical inactivity in healthy, obese, and diabetic adults in Germany: An analysis of related socio-demographic variables | de |
dc.description.review | begutachtet (peer reviewed) | de |
dc.description.review | peer reviewed | en |
dc.source.journal | PLOS ONE | |
dc.source.volume | 16 | de |
dc.publisher.country | USA | de |
dc.source.issue | 2 | de |
dc.subject.classoz | Gesundheitspolitik | de |
dc.subject.classoz | Health Policy | en |
dc.subject.classoz | Medizin, Sozialmedizin | de |
dc.subject.classoz | Medicine, Social Medicine | en |
dc.subject.thesoz | körperliche Bewegung | de |
dc.subject.thesoz | physical exercise | en |
dc.subject.thesoz | Erwachsener | de |
dc.subject.thesoz | adult | en |
dc.subject.thesoz | Bundesrepublik Deutschland | de |
dc.subject.thesoz | Federal Republic of Germany | en |
dc.subject.thesoz | Übergewicht | de |
dc.subject.thesoz | overweight | en |
dc.subject.thesoz | chronische Krankheit | de |
dc.subject.thesoz | chronic illness | en |
dc.subject.thesoz | soziale Faktoren | de |
dc.subject.thesoz | social factors | en |
dc.subject.thesoz | demographische Faktoren | de |
dc.subject.thesoz | demographic factors | en |
dc.subject.thesoz | Lebensalter | de |
dc.subject.thesoz | age | en |
dc.subject.thesoz | Geschlecht | de |
dc.subject.thesoz | gender | en |
dc.subject.thesoz | Bildung | de |
dc.subject.thesoz | education | en |
dc.subject.thesoz | Bildungsniveau | de |
dc.subject.thesoz | level of education | en |
dc.subject.thesoz | Einkommen | de |
dc.subject.thesoz | income | en |
dc.subject.thesoz | Haushaltseinkommen | de |
dc.subject.thesoz | household income | en |
dc.subject.thesoz | Beschäftigung | de |
dc.subject.thesoz | employment | en |
dc.subject.thesoz | Arbeitslosigkeit | de |
dc.subject.thesoz | unemployment | en |
dc.subject.thesoz | Migration | de |
dc.subject.thesoz | migration | en |
dc.subject.thesoz | Migrationshintergrund | de |
dc.subject.thesoz | migration background | en |
dc.subject.thesoz | Regressionsanalyse | de |
dc.subject.thesoz | regression analysis | en |
dc.identifier.urn | urn:nbn:de:0168-ssoar-78140-1 | |
dc.rights.licence | Creative Commons - Namensnennung 4.0 | de |
dc.rights.licence | Creative Commons - Attribution 4.0 | en |
ssoar.contributor.institution | FDB | de |
internal.status | formal und inhaltlich fertig erschlossen | de |
internal.identifier.thesoz | 10086741 | |
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dc.type.stock | article | de |
dc.type.document | Zeitschriftenartikel | de |
dc.type.document | journal article | en |
dc.source.pageinfo | 1-14 | de |
internal.identifier.classoz | 11006 | |
internal.identifier.classoz | 50100 | |
internal.identifier.journal | 1433 | |
internal.identifier.document | 32 | |
internal.identifier.ddc | 300 | |
internal.identifier.ddc | 610 | |
dc.identifier.doi | https://doi.org/10.1371/journal.pone.0246634 | de |
dc.description.pubstatus | Veröffentlichungsversion | de |
dc.description.pubstatus | Published Version | en |
internal.identifier.licence | 16 | |
internal.identifier.pubstatus | 1 | |
internal.identifier.review | 1 | |
dc.subject.classhort | 50100 | de |
dc.subject.classhort | 11000 | de |
internal.pdf.wellformed | true | |
internal.pdf.encrypted | false |
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