Medicine and Health Sciences Commons^™

Income Inequality And Homicide Rates In Sao Paulo, Brazil., Paulo A. Lotufo, Isabela M. Bensenor

Paulo A Lotufo

Description of the epidemic of homicide among poor people in Brazil. In Sao Paulo, Brazil, homicides to men aged 15-44 years increased with an annual percentage change (APC) of 4.7% from 1996 to 2001, and then decreased from 2001 to 2007 with an APC of -14.6%. Analyzing the intra-urban distribution according to family income, the increase in the homicide rate was restricted to men living in the poorest neighbourhoods. In contrast, the decline in homicide rates was observed to men living in all districts. The reasons for this 'up and down' trend are not clear.

Does Unemployment Decrease Cancer Mortality?, Benjamin Torres Galick

Economics Honors Projects

Recent research indicates that healthier lifestyles during recessions decrease the most common U.S. mortalities, but not cancer. However, they combine specific cancer mortalities with different progressions into one, possibly obscuring cancer’s link to unemployment. This paper estimates a fixed-effects regression model on unemployment and the nine most prevalent cancers between 1988 and 2002 using state-level panel data. Five cancers and total cancer are procyclical, and suggest that unemployment affects both incidence and gestation for some cancers. Consistent with the medical literature, this paper contradicts previous economic research and suggests that behavioral factors significantly impact cancer mortality.

Life Expectancy And Years Of Life Lost In Chronic Obstructive Pulmonary Disease: Findings From The Nhanes Iii Follow-Up Study, Robert M. Shavelle, David R. Paculdo, Scott J. Kush, David M. Mannino, David J. Strauss

David M. Mannino

Rationale

Previous studies have demonstrated that chronic obstructive pulmonary disease (COPD) causes increased mortality in the general population. But life expectancy and the years of life lost have not been reported.

Objectives

To quantify mortality, examine how it varies with age, sex, and other risk factors, and determine how life expectancy is affected.

Methods

We constructed mortality models using the Third National Health and Nutrition Examination Survey, adjusting for age, sex, race, and major medical conditions. We used these to compute life expectancy and the years of life lost.

Measurements and main results

Pulmonary function testing classified patients as having …