Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz

Logo MUG-Forschungsportal

Gewählte Publikation:

SHR Neuro Krebs Kardio Lipid Stoffw Microb

Fazekas, C; Leitner, A; Pieringer, W.
Health, self-regulation of bodily signals and intelligence: Review and hypothesis.
Wien Klin Wochenschr. 2010; 122(23-24): 660-665. Doi: 10.1007/s00508-010-1481-3
Web of Science PubMed FullText FullText_MUG

 

Führende Autor*innen der Med Uni Graz
Fazekas Christian
Altmetrics:

Dimensions Citations:

Plum Analytics:

Scite (citation analytics):

Abstract:
Childhood IQ and adult morbidity and mortality are known to be linked even beyond socioeconomic variables. Yet, their interrelations are insufficiently understood. It has been suggested that bodily sensations play a fundamental role in health-related self-regulation and that intelligence can influence the information processing of these somatic signals. This assumption is supported by reports on the influence of IQ on the exteroceptive (e.g. visual and auditory) and interoceptive (e.g. autonomic nervous system and posture) perception and processing of somatic information. Based on these findings the hypothesis of Psychosomatic Intelligence (PI) is introduced as an additional conceptual framework to probe the link between childhood IQ and adult health status. It implies a specific cognitive ability concerning the perception, interpretation, and self-regulation of bodily sensations. In this model, somatic signals are considered to reflect both intra-individual processes and individual-environment interactions. Based on this hypothesis the influence of intelligence on cognitive efforts to self-regulate somatic phenomena is amenable to systematic testing.
Find related publications in this database (using NLM MeSH Indexing)
Aging - physiology
Biofeedback, Psychology - physiology
Health -
Humans -
Intelligence - physiology
Models, Biological -
Physical Fitness - physiology

Find related publications in this database (Keywords)
Medical psychology
adult morbidity
health
self-regulation
human intelligence
© Med Uni Graz Impressum