Non-communicable diseases, socio-economic status, lifestyle and well-being in Italy: An additive Bayesian network model

Risultato della ricerca: Other

Abstract

The aim of the paper is to investigate the statistical association, on a sampleof Italian subjects, extracted by Survey of Health, Ageing and Retirement in Europe(SHARE) dataset, between chronic diseases (occurrence or number of chronicdiseases) and socio-economic and behavioural determinants (lifestyle indicators,QoL indicators, cognitive functioning variables). To this aim, additive Bayesiannetwork (ABN) analysis was used. The resulting ABN model shows that better educatedindividuals have better health outcomes, age is direct and gender is anindirect determinant of the number of chronic diseases. Furthermore, self-perceivedhealth is associated with lower number of chronic diseases, lower physical limitationsand higher quality of life and these indicators can be considered within aunitary vision to represent well-being of elderly people, as they share a similar distributionby gender and age.
Lingua originaleEnglish
Pagine1-6
Numero di pagine6
Stato di pubblicazionePublished - 2018

Cita questo

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title = "Non-communicable diseases, socio-economic status, lifestyle and well-being in Italy: An additive Bayesian network model",
abstract = "The aim of the paper is to investigate the statistical association, on a sampleof Italian subjects, extracted by Survey of Health, Ageing and Retirement in Europe(SHARE) dataset, between chronic diseases (occurrence or number of chronicdiseases) and socio-economic and behavioural determinants (lifestyle indicators,QoL indicators, cognitive functioning variables). To this aim, additive Bayesiannetwork (ABN) analysis was used. The resulting ABN model shows that better educatedindividuals have better health outcomes, age is direct and gender is anindirect determinant of the number of chronic diseases. Furthermore, self-perceivedhealth is associated with lower number of chronic diseases, lower physical limitationsand higher quality of life and these indicators can be considered within aunitary vision to represent well-being of elderly people, as they share a similar distributionby gender and age.",
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AU - Matranga, Domenica

AU - Maniscalco, Laura

PY - 2018

Y1 - 2018

N2 - The aim of the paper is to investigate the statistical association, on a sampleof Italian subjects, extracted by Survey of Health, Ageing and Retirement in Europe(SHARE) dataset, between chronic diseases (occurrence or number of chronicdiseases) and socio-economic and behavioural determinants (lifestyle indicators,QoL indicators, cognitive functioning variables). To this aim, additive Bayesiannetwork (ABN) analysis was used. The resulting ABN model shows that better educatedindividuals have better health outcomes, age is direct and gender is anindirect determinant of the number of chronic diseases. Furthermore, self-perceivedhealth is associated with lower number of chronic diseases, lower physical limitationsand higher quality of life and these indicators can be considered within aunitary vision to represent well-being of elderly people, as they share a similar distributionby gender and age.

AB - The aim of the paper is to investigate the statistical association, on a sampleof Italian subjects, extracted by Survey of Health, Ageing and Retirement in Europe(SHARE) dataset, between chronic diseases (occurrence or number of chronicdiseases) and socio-economic and behavioural determinants (lifestyle indicators,QoL indicators, cognitive functioning variables). To this aim, additive Bayesiannetwork (ABN) analysis was used. The resulting ABN model shows that better educatedindividuals have better health outcomes, age is direct and gender is anindirect determinant of the number of chronic diseases. Furthermore, self-perceivedhealth is associated with lower number of chronic diseases, lower physical limitationsand higher quality of life and these indicators can be considered within aunitary vision to represent well-being of elderly people, as they share a similar distributionby gender and age.

UR - http://hdl.handle.net/10447/326259

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