@article{ref1,
title="The relationship between credit and suicide in Italy",
journal="Epidemiologia e Prevenzione",
year="2020",
author="Galeazzi, Gian Maria and Pistoresi, Barbara and Mattei, Giorgio",
volume="44",
number="5-6 Suppl 1",
pages="64-71",
abstract="OBJECTIVES: to analyse the association between suicide rates and credit to the economy in Italy, and the potential role of social protection measures (SPMs) as  buffering mechanism. <br><br>DESIGN: descriptive study. SETTING AND PARTICIPANTS: data were  derived from the Italian National Institute of Statistics and from the Organisation  for Economic Co-operation and Development. Fixed-effects panel regressions were run  to test the association between male and female suicide rates and the rate of growth  of the credit-to-GDP (CTG) ratio. The buffering role of social protection measures  was investigated. The observation period was from 1990 to 2014. MAIN OUTCOME  MEASURES: regional male and female rates of suicide. <br><br>RESULTS: male suicide rate is  influenced by the rate of growth of the CTG ratio: a one-unit decrease in the latter  is associated with 1.26 more suicides every 10,000 people. This marginal effect was  significant at 1% for men, but not significant for women. Unemployment rate and  periods of mass job loss were not associated with the outcome. With respect to SPMs,  only public unemployment spending was able to moderate the association between  suicide rate and rate of growth of the CTG ratio. A one-unit increase in the rate of  growth of public unemployment spending was associated with 0.12 less suicides every  10,000 people, but only among men. Younger and older men were more affected by  credit reduction, namely those aged 15-44 years and 75 years or more. Differently,  women were not influenced by credit reduction, but only by increased UR in the group  aged 55-64 years. <br><br>CONCLUSIONS: access to credit is a major determinant of  psychological well-being for men, but not for women. The rate of growth of the CTG  ratio may be more useful than other macroeconomic indicators at identifying the  mental health outcomes of economic crises.<p /> <p>Language: en</p>",
language="en",
issn="1120-9763",
doi="10.19191/EP20.5-6.S1.P064.075",
url="http://dx.doi.org/10.19191/EP20.5-6.S1.P064.075"
}