000177750 001__ 177750
000177750 005__ 20240229133750.0
000177750 0247_ $$2doi$$a10.1007/s11136-021-03055-1
000177750 0247_ $$2pmid$$apmid:34859354
000177750 0247_ $$2ISSN$$a0962-9343
000177750 0247_ $$2ISSN$$a1573-2649
000177750 0247_ $$2altmetric$$aaltmetric:118066127
000177750 037__ $$aDKFZ-2021-02791
000177750 041__ $$aEnglish
000177750 082__ $$a100
000177750 1001_ $$aBoehlen, Friederike H$$b0
000177750 245__ $$aLoneliness as a gender-specific predictor of physical and mental health-related quality of life in older adults.
000177750 260__ $$aDordrecht [u.a.]$$bSpringer Science + Business Media B.V$$c2022
000177750 3367_ $$2DRIVER$$aarticle
000177750 3367_ $$2DataCite$$aOutput Types/Journal article
000177750 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1655289096_9352
000177750 3367_ $$2BibTeX$$aARTICLE
000177750 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000177750 3367_ $$00$$2EndNote$$aJournal Article
000177750 500__ $$a2022 Jul;31(7):2023-2033
000177750 520__ $$aHealth-related quality of life (HRQOL) in older persons is influenced by physical and mental health, as well as by their social contacts and social support. Older women and men have disparate types of social networks; they each value social ties differently and experience loneliness in unique and personal ways. The aim of this study is, therefore, to determine the longitudinal association between loneliness and social isolation with HRQOL in older people-separated by gender.Data stem from the third and fourth follow-up of the ESTHER study-a population-based cohort study of the older population in Germany. A sample of 2171 older women and men (mean age: 69.3 years, range 57-84 years) were included in this study; HRQOL was assessed by using the Short Form-12 questionnaire (SF-12). Data on physical and mental health, loneliness, and social networks were examined in the course of comprehensive home visits by trained study doctors. Gender-specific linear regression analyses were performed to predict physical quality of life (measured by the PCS, physical component score of the SF-12) and mental quality of life (measured by the MCS, mental component score) after three years, adjusted by socioeconomic variables as well as physical, mental, and social well-being.At baseline, PCS was 41.3 (SD: 10.0) in women and 42.2 (SD: 9.6) in men (p = .04). MCS was 47.0 (SD: 10.2) in women and 49.6 (SD: 8.6) in men (p < .001). In both genders, PCS and MCS were lower three years later. Loneliness at t0 was negatively associated with both PCS and MCS after three years (t1) among women, and with MCS but not PCS after three years among men. In both genders, the strongest predictor of PCS after three years was PCS at t0 (p < .001), while the strongest predictors of MCS after three years were MCS and PCS at t0.HRQOL in elderly women and men is predicted by different biopsychosocial factors. Loneliness predicts decreased MCS after three years in both genders, but decreased PCS after three years only in women. Thus, a greater impact of loneliness on the health of older women can be surmised and should therefore be considered in the context of their medical care.
000177750 536__ $$0G:(DE-HGF)POF4-313$$a313 - Krebsrisikofaktoren und Prävention (POF4-313)$$cPOF4-313$$fPOF IV$$x0
000177750 588__ $$aDataset connected to CrossRef, PubMed, , Journals: inrepo01.inet.dkfz-heidelberg.de
000177750 650_7 $$2Other$$aGender
000177750 650_7 $$2Other$$aHRQOL
000177750 650_7 $$2Other$$aLoneliness
000177750 650_7 $$2Other$$aOlder adults
000177750 7001_ $$aMaatouk, Imad$$b1
000177750 7001_ $$aFriederich, Hans-Christoph$$b2
000177750 7001_ $$0P:(DE-HGF)0$$aSchoettker, Ben$$b3
000177750 7001_ $$0P:(DE-He78)90d5535ff896e70eed81f4a4f6f22ae2$$aBrenner, Hermann$$b4
000177750 7001_ $$aWild, Beate$$b5
000177750 773__ $$0PERI:(DE-600)2008960-0$$a10.1007/s11136-021-03055-1$$n7$$p2023-2033$$tQuality of life research$$v31$$x0962-9343$$y2022
000177750 909CO $$ooai:inrepo02.dkfz.de:177750$$pVDB
000177750 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-HGF)0$$aDeutsches Krebsforschungszentrum$$b3$$kDKFZ
000177750 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)90d5535ff896e70eed81f4a4f6f22ae2$$aDeutsches Krebsforschungszentrum$$b4$$kDKFZ
000177750 9131_ $$0G:(DE-HGF)POF4-313$$1G:(DE-HGF)POF4-310$$2G:(DE-HGF)POF4-300$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$aDE-HGF$$bGesundheit$$lKrebsforschung$$vKrebsrisikofaktoren und Prävention$$x0
000177750 9141_ $$y2021
000177750 915__ $$0StatID:(DE-HGF)3002$$2StatID$$aDEAL Springer$$d2021-02-03$$wger
000177750 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2021-02-03
000177750 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2021-02-03
000177750 915__ $$0StatID:(DE-HGF)0430$$2StatID$$aNational-Konsortium$$d2022-11-18$$wger
000177750 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2022-11-18
000177750 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2022-11-18
000177750 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2022-11-18
000177750 915__ $$0StatID:(DE-HGF)1180$$2StatID$$aDBCoverage$$bCurrent Contents - Social and Behavioral Sciences$$d2022-11-18
000177750 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2022-11-18
000177750 915__ $$0StatID:(DE-HGF)1110$$2StatID$$aDBCoverage$$bCurrent Contents - Clinical Medicine$$d2022-11-18
000177750 915__ $$0StatID:(DE-HGF)0130$$2StatID$$aDBCoverage$$bSocial Sciences Citation Index$$d2022-11-18
000177750 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bQUAL LIFE RES : 2021$$d2022-11-18
000177750 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search$$d2022-11-18
000177750 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bASC$$d2022-11-18
000177750 915__ $$0StatID:(DE-HGF)9900$$2StatID$$aIF < 5$$d2022-11-18
000177750 9201_ $$0I:(DE-He78)C070-20160331$$kC070$$lC070 Klinische Epidemiologie und Alternf.$$x0
000177750 980__ $$ajournal
000177750 980__ $$aVDB
000177750 980__ $$aI:(DE-He78)C070-20160331
000177750 980__ $$aUNRESTRICTED