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Titolo:
Skin, psyche, immune system - A vector-time series model
Autore:
Brosig, B; Brahler, E;
Indirizzi:
Univ Giessen, Klin Psychosomat & Psychotherapie, Zentrum Psychosomat Med, D-35392 Giessen, Germany Univ Giessen Giessen Germany D-35392 somat Med, D-35392 Giessen, Germany
Titolo Testata:
ZEITSCHRIFT FUR KLINISCHE PSYCHOLOGIE PSYCHIATRIE UND PSYCHOTHERAPIE
fascicolo: 3, volume: 49, anno: 2001,
pagine: 279 - 296
SICI:
1431-8172(2001)49:3<279:SPIS-A>2.0.ZU;2-Q
Fonte:
ISI
Lingua:
GER
Soggetto:
ATOPIC-DERMATITIS; SALIVARY IMMUNOGLOBULIN; STRESS; MOOD; SECRETION; IGA; PARAMETERS; URTICARIA; CORTISOL; SURFACE;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Social & Behavioral Sciences
Citazioni:
53
Recensione:
Indirizzi per estratti:
Indirizzo: Brosig, B Univ Giessen, Klin Psychosomat & Psychotherapie, Zentrum Psychosomat Med, Ludwigstr 76, D-35392 Giessen, Germany Univ Giessen Ludwigstr 76 Giessen Germany D-35392 ssen, Germany
Citazione:
B. Brosig e E. Brahler, "Skin, psyche, immune system - A vector-time series model", Z KLIN PSYC, 49(3), 2001, pp. 279-296

Abstract

Time-series models were used increasingly for the analysis of complex interacting systems in psychological and social sciences research. Taking atopic dermatitis as a psychosomatic disease model, the interaction of moods (depression, activation and aggression) psychoneuroimmunological standard parameter such as salivary cortisol and secretory IgA (sIgA) and skin complaints is studied by vector auto regression (VAR)- und vector error correction (VEC)-models. Using a standardized diary technique, moods and skin symptoms were documented and saliva samples were secured. In addition, setting factors and the rhythm of the week were noted. It could be shown by a VAR-model that the severity of skin symptomatology was predicted by a decrease of sIgA. If the skin was already affected, thiswas followed by a deactivated mood. Skin symptoms were also influenced by setting factors (family therapy and temporary discontinuation of the therapy). sIgA was modulated (VEC-model) by depressive, de-activated moods and psychosocial influences (weekend). Cortisol in saliva was increased by a family therapy session. VAR- and VEC-models, therefore, may be used successfully in multivariate time-series models under control of autocorrelative processes. In addition, they enable the analysis of feed back circles in a bio-psycho-somatic process.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 27/05/20 alle ore 14:42:33