LEADER 05717nam 2201405z- 450 001 9910619470503321 005 20231214133039.0 010 $a3-0365-5372-X 035 $a(CKB)5670000000391569 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/93266 035 $a(EXLCZ)995670000000391569 100 $a20202210d2022 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPrevention and Management of Frailty 210 $cMDPI - Multidisciplinary Digital Publishing Institute$d2022 215 $a1 electronic resource (284 p.) 311 $a3-0365-5371-1 330 $aIt is important to prevent and manage the frailty of the elderly because their muscle strength and physical activity decrease in old age, making them prone to falling, depression, and social isolation. In the end, they need to be admitted to a hospital or a nursing home. When successful aging fails and motor ability declines due to illness, malnutrition, or reduced activity, frailty eventually occurs. Once frailty occurs, people with frailty do not have the power to exercise or the power to move. The functions of the heart and muscles are deteriorated more rapidly when they are not used. Consequently, frailty goes through a vicious cycle. As one?s physical fitness is deteriorated, the person has less power to exercise, poorer cognitive functions, and inferior nutrition intake. Consequently, the whole body of the person deteriorates. Therefore, in addition to observational studies to identify risk factors for preventing aging, various intervention studies have been conducted to develop exercise programs and apply them to communities, hospitals, and nursing homes for helping the elderly maintain healthy lives. Until now, most aging studies have focused on physical frailty. However, social frailty and cognitive frailty affect senile health negatively just as much as physical frailty. Nevertheless, little is known about social frailty and cognitive frailty. This special issue includes original experimental studies, reviews, systematic reviews, and meta-analysis studies on the prevention of senescence (physical senescence, cognitive senescence, social senescence), high-risk group detection, differentiation, and intervention. 606 $aPublic health & preventive medicine$2bicssc 610 $abrain stimulation 610 $adementia 610 $ameta-analysis 610 $anaming 610 $aprimary progressive aphasia 610 $aqualitative evaluation 610 $acognitive function 610 $adata mining 610 $aParkinson?s disease with mild cognitive impairment 610 $arandom forest 610 $aneuropsychological test 610 $amotoric cognitive risk syndrome 610 $afall 610 $agait speed 610 $athree-item recall 610 $aolder adults 610 $amixing ability 610 $acolor-changing chewing gum 610 $afrailty 610 $across-sectional study 610 $aspousal concordance 610 $aaging 610 $aaged 610 $aaccidental falls 610 $apain 610 $amild cognitive impairment 610 $adepressive symptoms 610 $afrailty profiles 610 $alatent class analysis 610 $aquality of life 610 $aperceived health 610 $afrailty syndrome 610 $aphysiotherapy 610 $aexercise 610 $amood 610 $aBDI 610 $aSTAI 610 $aSWLS 610 $amuscle strength 610 $acommunity-dwelling older adults 610 $aphysical frailty 610 $aprevalence 610 $arisk factors 610 $anon-robust 610 $aFRAIL scale 610 $aTilburg Frailty Indicator 610 $adeterminants 610 $acommunity-based 610 $asleep quality 610 $amiddle-aged and older adults 610 $aSUNFRAIL 610 $apsychometric properties 610 $ascreening tool 610 $asocial isolation 610 $asocial networks 610 $asocial support 610 $asocial participation 610 $aParkinson?s disease dementia 610 $ainstrumental activities of daily living 610 $aclinical dementia rating 610 $aconvergence rate 610 $aneuropsychological tests 610 $aneuropsychiatric symptoms 610 $aexplainable artificial intelligence 610 $amachine learning 610 $astacking ensemble 610 $aSelf-Rating Anxiety Scale 610 $amultiple risk factors 610 $afall assessment sheet 610 $aelderly patients 610 $ahospitalization 610 $arisk management 610 $adriving cessation 610 $ameaningful activities 610 $apsychosomatic functions 610 $aphysical functional performance 610 $anursing homes 610 $aphysical fitness 610 $agait analysis 610 $aindicators 610 $ascreening 610 $aartificial intelligence 610 $ahealthcare 610 $afrail 610 $aBaduanjin 610 $astrength training 610 $aendurance training 610 $aExplainable Artificial Intelligence 615 7$aPublic health & preventive medicine 700 $aByeon$b Haewon$4edt$01291906 702 $aNah$b Jaewon$4edt 702 $aByeon$b Haewon$4oth 702 $aNah$b Jaewon$4oth 906 $aBOOK 912 $a9910619470503321 996 $aPrevention and Management of Frailty$93022064 997 $aUNINA LEADER 01212nam2 22003013i 450 001 CFI0165801 005 20250314062352.0 010 $a8820424789 020 $aIT$b91-8593 100 $a20070208d1988 ||||0itac50 ba 101 | $aita 102 $ait 181 1$6z01$ai $bxxxe 182 1$6z01$an 200 1 $a2$e˜L'œindustria$fA. Accornero ... [et al.] 210 $aMilano$cF. Angeli$d[1988] 215 $a990 p.$d22 cm. 225 | $aSociologia del lavoro e delle organizzazioni$v29 410 0$1001CFI0015733$12001 $aSociologia del lavoro e delle organizzazioni$v29 461 1$1001CFI0099762$12001 $aTrattato di sociologia del lavoro e dell'organizzazione$fa cura di Domenico De Masi e Angelo Bonzanini$v2 702 1$aAccornero$b, Aris$3CFIV012657 801 3$aIT$bIT-NA0079$c20070208 850 $aIT-BN0095 $aIT-NA0457 $aIT-NA0079 912 $aCFI0165801 950 2$aBiblioteca Centralizzata di Ateneo$cv. 1-3$d 01POZZO LIB.ECON MON 6062$e 0101 0007003445 B (0002 v. 2 (Precedente collocazione 0 EC 344)$fN $h20220601$i20220601 977 $a 01$a BI$a BN 996 $a2$961340 997 $aUNISANNIO