Search results for "additive Bayesian network"

showing 2 items of 2 documents

Self-Perceived Health, Objective Health, and Quality of Life among People Aged 50 and Over: Interrelationship among Health Indicators in Italy, Spain…

2020

It is well known that self-perceived health (SPH), even if it is a subjective health indicator, is significantly associated with objective health and quality of life (QoL) in the general population. Whether it can be considered an indicator of cognitive functioning and quality of life in the elderly is still an open issue. This study used a data-driven approach to investigate the interrelationship among SPH, non-communicable diseases (NCDs), QoL, and cognitive functioning to answer this question. The study sample included information about 12,831 people living in Italy, Spain, and Greece, extracted from the Survey on Health, Aging, and Retirement in Europe, in the year 2015. The additive Ba…

Settore M-PSI/01 - Psicologia GeneraleMaleHealth Toxicology and MutagenesisHealth StatusPopulationlcsh:MedicineChronic diseases cognitive measureArticleSettore MED/01 - Statistica Medica03 medical and health sciences0302 clinical medicineQuality of lifeEnvironmental healthCredibilitychronic diseases cognitive measuresHumans030212 general & internal medicineCognitive skillself-perceived healtheducationAged2. Zero hungereducation.field_of_studyGreeceSettore SECS-S/02 - Statistica Per La Ricerca Sperimentale E Tecnologica030503 health policy & serviceslcsh:R1. No povertyPublic Health Environmental and Occupational HealthSelf perceived healthBayes TheoremMiddle AgedHealth indicatoradditive Bayesian network3. Good healthEuropeHealth promotionItalyquality of lifeSpainFemaleSelf Report0305 other medical sciencePsychologyBody mass indexInternational Journal of Environmental Research and Public Health
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Non-communicable diseases, socio-economic status, lifestyle and well-being in Italy: An additive Bayesian network model

2018

The aim of the paper is to investigate the statistical association, on a sample of Italian subjects, extracted by Survey of Health, Ageing and Retirement in Europe (SHARE) dataset, between chronic diseases (occurrence or number of chronic diseases) and socio-economic and behavioural determinants (lifestyle indicators, QoL indicators, cognitive functioning variables). To this aim, additive Bayesian network (ABN) analysis was used. The resulting ABN model shows that better educated individuals have better health outcomes, age is direct and gender is an indirect determinant of the number of chronic diseases. Furthermore, self-perceived health is associated with lower number of chronic diseases…

GLM Additive Bayesian Network lifestyle well-beingSettore MED/01 - Statistica Medica
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