Open Conference Systems, 50th Scientific meeting of the Italian Statistical Society

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

Last modified: 2018-05-18


Abstract The aim of the paper is to investigate the statistical association, ona sample of Italian subjects, between chronic diseases (occurrence or number ofchronic diseases) and socio-economic and behavioural determinants (lifestyle indicators,QoL indicators, cognitive functioning variables). For this reason, additiveBayesian network (ABN) analysis was used to identify factors associated with thenon-communicable disease. The resulting ABN model shows that better-educatedindividuals obtain better health outcomes from a fixed set of covariates, age is directand gender is an indirect determinant of the number of chronic diseases. Furthermore,self-perceived health is associated with lower number of chronic diseases,lower physical limitations and higher quality of life and these indicators can be consideredwithin a unitary vision to represent well-being of elderly people, as theyshare a similar distribution by gender and age.


  1. Di Cesare, M. et al.: Inequalities in non-communicable diseases and effective responses. TheLancet, Elsevier 381, 585–597 (2013)
  2. Giampaoli, S. and Palmieri, L. et al.: Cardiovascular health in Italy. Ten-year surveillanceof cardiovascular diseases and risk factors: Osservatorio Epidemiologico Cardiovascolare/Health Examination Survey 1998–2012. Eur J Prev Cardiol, SAGE Publications SageUK: London, England 22, 9–37 (2015)
  3. Matranga, D. and Tabacchi, G. and Cangialosi, D.: Sedentariness and weight status related toSES and family characteristics in Italian adults: exploring geographic variability through multilevelmodels. Scandinavian journal of public health, SAGE Publications Sage UK: London,England, (2017)
  4. McLaren, L.: Socioeconomic status and obesity. The Oxford handbook of the social science of obesity. Accessed 23 September 2016
  5. Megari, K.: Quality of life in chronic disease patients. Health Psychology Research, PAGEPress1, (2013)
  6. Panico, S. and Palmieri, L. et al.: Preventive potential of body mass reduction to lower cardiovascularrisk: the Italian Progetto CUORE study. Prev Med, Elsevier 47, 53–60 (2008)
  7. van Der Berg, J.D. and Bosma, H. et al.: Midlife determinants associated with sedentarybehavior in old age.. Med Sci Sports Exerc, NIH Public Access 46, 1359 (2014)
  8. World Health Organization: STEPS: A framework for surveillance. (2003)Available at htt p : ==www:who:int=ncdsurveillance
  9. Vozikaki, M. and Linardakis, M. et al.: Activity participation and well-being among Europeanadults aged 65 years and older. Social Indicators Research, Springer 131, 769–795 (2017)
  10. Lewis, F.I. and McCormick, B.:Revealing the complexity of health determinants in resourcepoorsettings. American journal of epidemiology 176, 1051–1059 (2012)
  11. Pittavino, M. and Lewis, F. and Furrer, R.: an R package for modelling multivariate data usingadditive Bayesian networks. The Comprehensive R Archive Network (CRAN), 1–37, (2016)

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