Literature DB >> 12733831

Gender differentials in life expectancy in Italy.

S Conti1, G Farchi, M Masocco, G Minelli, V Toccaceli, M Vichi.   

Abstract

OBJECTIVE: To analyze the gender differential in life expectancy in Italy from 1970 to 1997, to determine which ages and causes of death mostly influenced its trend.
METHODS: Pollard method was used to explain which ages and which pathologies give the highest contribution to the gender differential.
RESULTS: A slight reduction of the gender differential has been observed since 1980. The olds and very olds became the most relevant contributors to the differential. Cardiovascular diseases were the principal contributing causes of death until 1980 and Cancer replaced them afterwards.
CONCLUSION: Relatively recent adoption of unhealthy life styles by women together with an opposite process run by young men towards healthier behaviour, seem to be at the basis of the slight reduction of the gender differential in life expectancy observed since 1980.

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Year:  2003        PMID: 12733831     DOI: 10.1023/a:1023029618044

Source DB:  PubMed          Journal:  Eur J Epidemiol        ISSN: 0393-2990            Impact factor:   8.082


  9 in total

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Authors:  S Conti; M Masocco; G Farchi; G Rezza; V Toccaceli
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2.  The impact of the major causes of death on life expectancy in Italy.

Authors:  S Conti; G Farchi; M Masocco; V Toccaceli; M Vichi
Journal:  Int J Epidemiol       Date:  1999-10       Impact factor: 7.196

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Journal:  Rev Epidemiol Sante Publique       Date:  1998-03       Impact factor: 1.019

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Authors:  A D Lopez
Journal:  WHO Chron       Date:  1984

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Authors:  I Waldron
Journal:  Soc Sci Med       Date:  1983       Impact factor: 4.634

  9 in total
  6 in total

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Journal:  Eur J Ageing       Date:  2010-11-12

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Journal:  J Epidemiol Community Health       Date:  2007-02       Impact factor: 3.710

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Authors:  Felicia V Wheaton; Eileen M Crimmins
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5.  Deindustrialisation, demographic decline, aging, economic crisis and social involution in a metropolitan area analysed by applying Socio-Economic and Health Deprivation Indices.

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6.  Masculinity, Perceived Vulnerability to COVID-19, and Adoption of Protective Behaviors.

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  6 in total

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