{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,5]],"date-time":"2026-10-05T19:01:26Z","timestamp":1791226886026,"version":"4.1.0"},"reference-count":24,"publisher":"Georg Thieme Verlag KG","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Gesundheitswesen"],"abstract":"Zusammenfassung<\/jats:title>Langzeiterkrankungen haben weitreichende Auswirkungen f\u00fcr die Betroffenen\n selbst sowie auf gesamtgesellschaftlicher Ebene. Ziel dieser Studie war es,\n Risikofaktoren f\u00fcr Langzeiterkrankungen bei Soldatinnen und Soldaten der\n Bundeswehr zu analysieren, um zielgruppengerechte und risikoadaptierte\n Pr\u00e4ventionsma\u00dfnahmen ableiten zu k\u00f6nnen.<\/jats:p>Es wurden die Krankschreibungen aller Soldatinnen und Soldaten der Bundeswehr\n im Zeitraum 2008\u20132018 deskriptiv analysiert und Risikofaktoren mittels\n zweidimensionaler Kontingenztafeln f\u00fcr die Merkmale Geschlecht,\n Laufbahngruppe, Altersgruppe und Hauptdiagnose bezogen auf die\n Arbeitsunf\u00e4higkeit (>42 und>84 Tage) ermittelt, wobei eine statistisch\n signifikante Odds Ratio (OR)>1,00 (McNemar-Test, p<0,05) vorliegen\n musste. Durch das Verkn\u00fcpfen von Risikofaktoren mit den jeweils zugrunde\n liegenden drei h\u00e4ufigsten ICD-10 Einzeldiagnosen wurden Risikokonstellation\n identifiziert.<\/jats:p>Als Risikofaktoren konnten die Altersgruppen 30\u201339 Jahre (OR 1,13; 95%\n Konfidenzintervall [1,10; 1,16]), 40\u201349 Jahre (OR 1,50 [1,45; 1,54]), 50\u201359\n Jahre (OR 1,81 [1,74; 1,88]), die Laufbahngruppen der Unteroffiziere (OR\n 1,35 [1,32; 1,37]) und Offiziere (OR 1,26 [1,23; 1,30]), sowie weibliches\n Geschlecht (OR 1,23 [1,19; 1,26]) ermittelt werden. Auch Hauptdiagnosen aus\n den ICD-10 Diagnosekapiteln \u201ePsychische St\u00f6rungen (F-Diagnosen)\u201c (OR 6,50\n [6,35; 6,65]), \u201eKrankheiten des Muskel-Skelett-Systems (M-Diagnosen)\u201c (OR\n 2,54 [2,48; 2,60]) sowie \u201eVerletzungen (S-T-Diagnosen)\u201c (OR 3,37 [3,30;\n 3,45]) stellen Risikofaktoren dar. Die ICD-10 Einzeldiagnosen\n \u201eBelastungsreaktionen (F43)\u201c und \u201eDepressive Episode (F32)\u201c waren bei allen\n analysierten Merkmalen unter den jeweils drei h\u00e4ufigsten Diagnosen\n vertreten. Als Risikokonstellationen finden sich Unteroffiziere mit\n \u201eKniegelenksverletzungen (S83)\u201c, Offiziere mit \u201eBandscheibensch\u00e4den (M51)\u201c\n sowie Frauen mit \u201eSchwangerschaftsbeschwerden (O26)\u201c.<\/jats:p>Durch die vorliegende Studie wurden neben der \u00fcbergreifenden Bedeutung der\n F-Diagnosen weitere Risikofaktoren und -konstellationen f\u00fcr\n Langzeiterkrankungen identifiziert. Auf dieser Grundlage k\u00f6nnen\n zielgruppengerechte und risikoadaptierte Pr\u00e4ventionsma\u00dfnahmen, z.\u2009B. im\n Rahmen eines betrieblichen Gesundheitsmanagements, entwickelt werden. Auch\n Konzepte zur F\u00f6rderung der \u201eFrauengesundheit\u201c erscheinen zielf\u00fchrend. Die\n Effekte zielgruppengerechter und risikoadaptierter Pr\u00e4ventionsma\u00dfnahmen\n sollten in Folgestudien \u00fcberpr\u00fcft werden.<\/jats:p>","DOI":"10.1055\/a-2599-2262","type":"journal-article","created":{"date-parts":[[2025,7,21]],"date-time":"2025-07-21T23:32:21Z","timestamp":1753140741000},"source":"Crossref","is-referenced-by-count":1,"title":["Analyse der krankheitsbedingten Fehltage von Soldatinnen und Soldaten\n der Bundeswehr von 2008 bis 2018 Teil 2: Retrospektive Analyse von\n Risikofaktoren f\u00fcr Langzeiterkrankungen"],"prefix":"10.1055","author":[{"given":"Kathrin","family":"Epple","sequence":"additional","affiliation":[{"name":"Qualit\u00e4tsmanagement, Sanit\u00e4tsunterst\u00fctzungszentrum Neubrandenburg,\n Neubrandenburg, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kristin","family":"Schmidt","sequence":"additional","affiliation":[{"name":"Qualit\u00e4tsmanagement, Sanit\u00e4tsunterst\u00fctzungszentrum Neubrandenburg,\n Neubrandenburg, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christin","family":"L\u00f6ffler","sequence":"additional","affiliation":[{"name":"Institut f\u00fcr Allgemeinmedizin, Universit\u00e4tsmedizin Rostock, Rostock,\n Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gregor","family":"Feldmeier","sequence":"additional","affiliation":[{"name":"Institut f\u00fcr Allgemeinmedizin, Universit\u00e4tsmedizin Rostock, Rostock,\n Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andreas","family":"Dierich","sequence":"additional","affiliation":[{"name":"Leiter, Sanit\u00e4tsunterst\u00fctzungszentrum Neubrandenburg, Neubrandenburg,\n Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"194","published-online":{"date-parts":[[2025,7,21]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","first-page":"399","DOI":"10.1177\/0141076812472616","article-title":"The impact of disease on family members: a critical aspect of medical care","volume":"106","author":"C J Golics","year":"2013","journal-title":"J R Soc Med"},{"key":"ref2","doi-asserted-by":"publisher","first-page":"50","DOI":"10.1177\/1403494808097171","article-title":"Positive and negative consequences of sick leave for the individual, with\n special focus on part-time sick leave","volume":"37","author":"L Sieurin","year":"2009","journal-title":"Scand J Public Health"},{"key":"ref7","doi-asserted-by":"publisher","first-page":"878","DOI":"10.1055\/a-1987-5847","article-title":"[Analysis of Sickness-Related Days of Absence among Soldiers of the German Armed\n Forces from 2008 to 2018 Part 1: Retrospective Analysis with Comparison to the\n Statutory Health Insurance System]","volume":"85","author":"A Dierich","year":"2023","journal-title":"Gesundheitswesen"},{"key":"ref8","doi-asserted-by":"publisher","first-page":"27","DOI":"10.5271\/sjweh.3169","article-title":"Effectiveness of multidisciplinary primary prevention in decreasing the risk of\n work disability in a low-risk population","volume":"38","author":"M Saltychev","year":"2012","journal-title":"Scand J Work Environ Health"},{"key":"ref9","doi-asserted-by":"publisher","first-page":"57","DOI":"10.5271\/sjweh.3298","article-title":"Does perceived work ability improve after a multidisciplinary preventive program\n in a population with no severe medical problems? 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