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Predicting Psychopathological Onset: Early Signs of Neuropsychiatric Diseases
| Predicting Psychopathological Onset: Early Signs of Neuropsychiatric Diseases |
| Autore | Costanzi Marco |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (242 p.) |
| Soggetto topico |
Medicine and Nursing
Pharmacology |
| Soggetto non controllato |
adolescence
affective disorder affective temperaments aging alexithymia assessment attachment Attentional Boost Effect Autism Spectrum Disorders (ASD) bipolar disorder bipolar disorders body image cerebellum childhood apraxia of speech children classification cognitive decline COVID-19 COVID-19 vaccine criminal behaviour depression depressive disorders diadochokinesia emotional dysregulation emotional eating emotional regulation epidemiological survey euthymic patients exercise addiction fatherhood forgetting FreeSurfer frequency data friend and family interview gambling disorder gender genetic variants heart rate variability high-risk group integration Magnetic Resonance Imaging (MRI) mentalization microbiota motor control multilevel model multiple risk factors n/a neuroanatomy neurotransmitter system neurovisceral integration model nomogram patient health questionnaire perinatal period polyvagal theory prefrontal functions prevention psychiatric disorders psychological distress psychopathologies psychopathology recognition memory screening self-esteem self-report measure sensory motor performance social isolation time perception TMAU vaccine acceptance vaccine intention young adults youth |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Predicting Psychopathological Onset |
| Record Nr. | UNINA-9910580206103321 |
Costanzi Marco
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Prevention and Management of Frailty
| Prevention and Management of Frailty |
| Autore | Byeon Haewon |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (284 p.) |
| Soggetto topico | Public health & preventive medicine |
| Soggetto non controllato |
brain stimulation
dementia meta-analysis naming primary progressive aphasia qualitative evaluation cognitive function data mining Parkinson’s disease with mild cognitive impairment random forest neuropsychological test motoric cognitive risk syndrome fall gait speed three-item recall older adults mixing ability color-changing chewing gum frailty cross-sectional study spousal concordance aging aged accidental falls pain mild cognitive impairment depressive symptoms frailty profiles latent class analysis quality of life perceived health frailty syndrome physiotherapy exercise mood BDI STAI SWLS muscle strength community-dwelling older adults physical frailty prevalence risk factors non-robust FRAIL scale Tilburg Frailty Indicator determinants community-based sleep quality middle-aged and older adults SUNFRAIL psychometric properties screening tool social isolation social networks social support social participation Parkinson’s disease dementia instrumental activities of daily living clinical dementia rating convergence rate neuropsychological tests neuropsychiatric symptoms explainable artificial intelligence machine learning stacking ensemble Self-Rating Anxiety Scale multiple risk factors fall assessment sheet elderly patients hospitalization risk management driving cessation meaningful activities psychosomatic functions physical functional performance nursing homes physical fitness gait analysis indicators screening artificial intelligence healthcare frail Baduanjin strength training endurance training Explainable Artificial Intelligence |
| ISBN | 3-0365-5372-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910619470503321 |
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Byeon Haewon
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| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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