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When does morbidity start? An analysis of changes in morbidity between 2013 and 2019 in Italy

Author

Listed:
  • Andrea Pastore

    (Ca’ Foscari University)

  • Stefano F. Tonellato

    (Ca’ Foscari University)

  • Emanuele Aliverti

    (Ca’ Foscari University)

  • Stefano Campostrini

    (Ca’ Foscari University)

Abstract

Morbidity is one of the key aspects for assessing populations’ well-being. In particular, chronic diseases negatively affect the quality of life in the old age and the risk that more years added to lives are years of disability and illness. Novel analysis, interventions and policies are required to understand and potentially mitigate this issue. In this article, we focus on investigating whether in Italy the compression of morbidity is in act in the recent years, parallely to an increase of life expectancy. Our analysis rely on large repeated cross-sectional data from the national surveillance system passi, providing deep insights on the evolution of morbidity together with other socio-demographical variables. In addition, we investigate differences in morbidity across subgroups, focusing on disparities by gender, level of education and economic difficulties, and assessing the evolution of these differences across the period 2013–2019.

Suggested Citation

  • Andrea Pastore & Stefano F. Tonellato & Emanuele Aliverti & Stefano Campostrini, 2023. "When does morbidity start? An analysis of changes in morbidity between 2013 and 2019 in Italy," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 32(2), pages 577-591, June.
    • Handle: RePEc:spr:stmapp:v:32:y:2023:i:2:d:10.1007_s10260-022-00668-9
    DOI: 10.1007/s10260-022-00668-9
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    References listed on IDEAS

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    1. Elena Demuru & Viviana Egidi, 2016. "Adjusting prospective old-age thresholds by health status: empirical findings and implications. A case study of Italy," Vienna Yearbook of Population Research, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna, vol. 14(1), pages 131-154.
    2. Valentina Minardi & Stefano Campostrini & Giuliano Carrozzi & Giada Minelli & Stefania Salmaso, 2011. "Social determinants effects from the Italian risk factor surveillance system PASSI," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 56(4), pages 359-366, August.
    3. Louise Sundberg & Neda Agahi & Johan Fritzell & Stefan Fors, 2018. "Why is the gender gap in life expectancy decreasing? The impact of age- and cause-specific mortality in Sweden 1997–2014," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 63(6), pages 673-681, July.
    4. Stefano Campostrini & David McQueen, 2005. "Institutionalization of social and behavioral risk factor surveillance as a learning system," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 50(1), pages 9-15, June.
    5. Martin, Andrew D. & Quinn, Kevin M. & Park, Jong Hee, 2011. "MCMCpack: Markov Chain Monte Carlo in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 42(i09).
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