000177412 001__ 177412
000177412 005__ 20240229133739.0
000177412 0247_ $$2doi$$a10.1186/s12877-021-02595-y
000177412 0247_ $$2pmid$$apmid:34772361
000177412 037__ $$aDKFZ-2021-02504
000177412 041__ $$aEnglish
000177412 082__ $$a610
000177412 1001_ $$aZhu, Yi$$b0
000177412 245__ $$aAssessment of the health status of middle-aged and elderly men with head scale, SF-36, IIEF5, AMS, and IPSS.
000177412 260__ $$aLondon$$bBioMed Central$$c2021
000177412 3367_ $$2DRIVER$$aarticle
000177412 3367_ $$2DataCite$$aOutput Types/Journal article
000177412 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1637075883_5622
000177412 3367_ $$2BibTeX$$aARTICLE
000177412 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000177412 3367_ $$00$$2EndNote$$aJournal Article
000177412 520__ $$aIdentifying practical and distinguished indicators and influencing factors of male aging may be useful in predicting subsequent aging trends, designing personalized prevention, and improving lifestyle and health.A cross-sectional, population-based study was performed in Jiashan County, China in 2016. A total of 690 local male residents, aged 40 to 80 years, were eligible for recruitment. Demographic and lifestyle information was collected through structured interviews. A self-designed head scale, the Medical Outcomes Study 36-item Short Form (SF-36), International Index of Erectile Function (IIEF5), Aging Males' Symptoms (AMS), and International Prostate Symptom Score (IPSS) were used. Analysis of variance, local polynomial regression smoothing curves, multiple linear regression, and partial correlation analyses were performed.All the scales deteriorated with increasing age (P < 0.01), especially from the age of 60. The most significant changes between adjacent age groups were found in IIEF5 scores (16.7, 43.5 and 39.4%). Income, nutrition, personality and neighborhood relationship had an effect on SF-36 and AMS after adjusting for age (P < 0.01). Furthermore, neighborhood relationship modified the age effect on the head scale score and IIEF5 (P = 0.03); nutrition modified the relationship between age and SF-36 (P < 0.01).Recession of reproductive health may be a distinct predictor of male aging. The associations of social inequalities or personality and health offer potential interventions for men's health in aging. Self-reported scales may limit the precision and more physical fitness tests could be combined for a more precise assessment.
000177412 536__ $$0G:(DE-HGF)POF4-313$$a313 - Krebsrisikofaktoren und Prävention (POF4-313)$$cPOF4-313$$fPOF IV$$x0
000177412 588__ $$aDataset connected to CrossRef, PubMed, , Journals: inrepo01.inet.dkfz-heidelberg.de
000177412 650_7 $$2Other$$aAging
000177412 650_7 $$2Other$$aAging males’ symptoms
000177412 650_7 $$2Other$$aBiological age
000177412 650_7 $$2Other$$aInternational index of erectile function
000177412 650_7 $$2Other$$aInternational prostate symptom score
000177412 7001_ $$aLi, Jian-Hui$$b1
000177412 7001_ $$aZhao, Jing$$b2
000177412 7001_ $$aZheng, Jun-Biao$$b3
000177412 7001_ $$0P:(DE-He78)59bc83ea3f8c2a5ef6118233f87b5e68$$aLiang, Qun-Feng$$b4$$udkfz
000177412 7001_ $$aYu, Xiao-Hua$$b5
000177412 7001_ $$aZhang, Shu-Cheng$$b6
000177412 7001_ $$aShi, Hui-Juan$$b7
000177412 7001_ $$aZhou, Wei-Jin$$b8
000177412 7001_ $$aZhu, Qian-Xi$$b9
000177412 773__ $$0PERI:(DE-600)2059865-8$$a10.1186/s12877-021-02595-y$$gVol. 21, no. 1, p. 641$$n1$$p641$$tBMC geriatrics$$v21$$x1471-2318$$y2021
000177412 909CO $$ooai:inrepo02.dkfz.de:177412$$pVDB
000177412 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)59bc83ea3f8c2a5ef6118233f87b5e68$$aDeutsches Krebsforschungszentrum$$b4$$kDKFZ
000177412 9131_ $$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$$x0
000177412 9141_ $$y2021
000177412 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bBMC GERIATR : 2019$$d2021-05-04
000177412 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2021-05-04
000177412 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2021-05-04
000177412 915__ $$0StatID:(DE-HGF)0320$$2StatID$$aDBCoverage$$bPubMed Central$$d2021-05-04
000177412 915__ $$0StatID:(DE-HGF)0501$$2StatID$$aDBCoverage$$bDOAJ Seal$$d2021-05-04
000177412 915__ $$0StatID:(DE-HGF)0500$$2StatID$$aDBCoverage$$bDOAJ$$d2021-05-04
000177412 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bDOAJ : Open peer review$$d2021-05-04
000177412 915__ $$0LIC:(DE-HGF)CCBYNV$$2V:(DE-HGF)$$aCreative Commons Attribution CC BY (No Version)$$bDOAJ$$d2021-05-04
000177412 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2021-05-04
000177412 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2021-05-04
000177412 915__ $$0StatID:(DE-HGF)0130$$2StatID$$aDBCoverage$$bSocial Sciences Citation Index$$d2021-05-04
000177412 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2021-05-04
000177412 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2021-05-04
000177412 915__ $$0StatID:(DE-HGF)1180$$2StatID$$aDBCoverage$$bCurrent Contents - Social and Behavioral Sciences$$d2021-05-04
000177412 915__ $$0StatID:(DE-HGF)9900$$2StatID$$aIF < 5$$d2021-05-04
000177412 915__ $$0StatID:(DE-HGF)0561$$2StatID$$aArticle Processing Charges$$d2021-05-04
000177412 915__ $$0StatID:(DE-HGF)0700$$2StatID$$aFees$$d2021-05-04
000177412 9201_ $$0I:(DE-He78)C120-20160331$$kC120$$lPräventive Onkologie$$x0
000177412 980__ $$ajournal
000177412 980__ $$aVDB
000177412 980__ $$aI:(DE-He78)C120-20160331
000177412 980__ $$aUNRESTRICTED