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Hyperadiponectinemia protects against premature death in metabolic syndrome model mice by inhibiting AKT signaling and chronic inflammation. (33/80)

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Mortality and potential years of life lost attributable to alcohol consumption in Canada in 2005. (34/80)

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Predictors of car smoking rules among smokers in France, Germany and the Netherlands. (35/80)

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Is the health of people living in rural areas different from those in cities? Evidence from routine data linked with the Scottish Health Survey. (36/80)

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Hazardous alcohol consumption is a major factor in male premature mortality in a typical Russian city: prospective cohort study 2003-2009. (37/80)

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Alcohol and premature death in Estonian men: a study of forensic autopsies using novel biomarkers and proxy informants. (38/80)

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Disparities in premature mortality between high- and low-income US counties. (39/80)

INTRODUCTION: Several well-established determinants of health are associated with premature mortality. Using data from the 2010 County Health Rankings, we describe the association of selected determinants of health with premature mortality among counties with broadly differing levels of income. METHODS: County-level data on 3,139 US counties from the 2010 County Health Rankings were linked to county mortality data from the Centers for Disease Control and Prevention Compressed Mortality database. We divided counties into 3 groups, defined by sample median household income levels: low-income (/=75th percentile, >/=$39,401). We analyzed group differences in geographic, sociodemographic, racial/ethnic, health care, social, and behavioral factors. Stratified multivariable linear regression explored the associations of these health determinants with premature mortality for high- and low-income groups. RESULTS: The association between income and premature mortality was stronger among low-income counties than high-income counties. We found differences in the pattern of risk factors between high- and low-income groups. Significant geographic, sociodemographic, racial/ethnic, health care, social, and behavioral disparities exist among income groups. CONCLUSION: Geographic location and the percentages of adult smokers and adults with a college education were associated with premature mortality rates in US counties. These relationships varied in magnitude and significance across income groups. Our findings suggest that population health policies aimed at reducing mortality disparities require an understanding of the socioeconomic context within which modifiable variables exist.  (+info)

Geographic and racial variation in premature mortality in the U.S.: analyzing the disparities. (40/80)

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