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[Mortality inequalities in Rome: the role of individual education and neighbourhood real estate market]. / Differenziali di mortalità a Roma: il ruolo dell'istruzione e dei prezzi immobiliari del quartiere di residenza.
Cesaroni, Giulia; Venturini, Giorgia; Paglione, Lorenzo; Angelici, Laura; Sorge, Chiara; Marino, Claudia; Davoli, Marina; Agabiti, Nerina.
Afiliação
  • Cesaroni G; Dipartimento di epidemiologia del Servizio sanitario regionale, ASL Roma 1, Roma; g.cesaroni@deplazio.it.
  • Venturini G; Sapienza, Università di Roma.
  • Paglione L; Sapienza, Università di Roma.
  • Angelici L; Dipartimento di epidemiologia del Servizio sanitario regionale, ASL Roma 1, Roma.
  • Sorge C; Dipartimento di epidemiologia del Servizio sanitario regionale, ASL Roma 1, Roma.
  • Marino C; Dipartimento di epidemiologia del Servizio sanitario regionale, ASL Roma 1, Roma.
  • Davoli M; Dipartimento di epidemiologia del Servizio sanitario regionale, ASL Roma 1, Roma.
  • Agabiti N; Dipartimento di epidemiologia del Servizio sanitario regionale, ASL Roma 1, Roma.
Epidemiol Prev ; 44(5-6 Suppl 1): 31-37, 2020.
Article em It | MEDLINE | ID: mdl-33415944
ABSTRACT

OBJECTIVES:

to investigate the association between real estate prices, education, and mortality.

DESIGN:

cohort study. SETTING AND

PARTICIPANTS:

residents in Rome at the 2011 Italian Census, not living in institutions, and living in the address reported in the Census survey. People aged 18-99 years were followed from 2011 to 2016 using anonymous record linkage procedures with administrative databases. The Census includes several individual information, such as gender, age, education, residential neighbourhood. Data and cause of death were collected from mortality register. Real estate prices (euros/m2) were available for each neighbourhood. MAIN OUTCOME

MEASURES:

adjusted Cox regression models (hazard ratios - HRs and 95%CIs) were used to estimate the association among individual education, real estate price in the neighbourhood, and mortality.

RESULTS:

the subjects selected were 2,051,376 (54% women, 22.5% with high education level). During the follow-up, 127,352 subjects died. Taking into account gender, age, marital status, and real estate prices, education level was strongly associated with all-cause mortality; compared to highly educated the higher mortality, risk was 35% (95%CI 32%-37%) for low education level and 16% (95%CI 14%-19%) for medium education level. Taking into account the same factors and education level, each increase of 1,000 euros in price/m2 was inversely associated with mortality (HR 0.96, 95%CI 0.96-0.97).

CONCLUSIONS:

there is an independent association between the two indicators and mortality in Rome. A simple indicator such as real estate prices can be used to tackle inequalities.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Características de Residência / Mortalidade / Escolaridade Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Aged / Aged80 / Female / Humans / Male / Middle aged País/Região como assunto: Europa Idioma: It Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Características de Residência / Mortalidade / Escolaridade Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Aged / Aged80 / Female / Humans / Male / Middle aged País/Região como assunto: Europa Idioma: It Ano de publicação: 2020 Tipo de documento: Article