Dataset Information

US State-level income inequality and risks of heart attack and coronary risk behaviors: longitudinal findings.

ABSTRACT:

Objectives

To examine prospectively the association between US state income inequality and incidence of heart attack.

Methods

We used data from the National Epidemiologic Survey on Alcohol and Related Conditions (n = 34,445). Respondents completed interviews at baseline (2001-2002) and follow-up (2004-2005). Weighted multilevel modeling was used to determine if US state-level income inequality (measured by the Gini coefficient) at baseline was a predictor of heart attack during follow-up, controlling for individual-level and state-level covariates.

Results

In comparison to residents of US states in the lowest quartile of income inequality, those living in the second [Adjusted Odds Ratio (AOR) = 1.71, 95 % CI 1.16-2.53)], third (AOR = 1.81, 95 % CI 1.28-2.57), and fourth (AOR = 2.04, 95 % CI 1.26-3.29) quartiles were more likely to have a heart attack. Similar findings were obtained when we excluded those who had a heart attack prior to baseline.

Conclusions

This study is one of the first to empirically show the longitudinal relationship between income inequality and coronary heart disease. Living in a state with higher income inequality increases the risk for heart attack among US adults.

SUBMITTER: Pabayo R

PROVIDER: S-EPMC4517572 | biostudies-literature | 2015 Jul

REPOSITORIES: biostudies-literature

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Publications

US State-level income inequality and risks of heart attack and coronary risk behaviors: longitudinal findings.

Pabayo Roman R Kawachi Ichiro I Gilman Stephen E SE

International journal of public health 20150516 5

<h4>Objectives</h4>To examine prospectively the association between US state income inequality and incidence of heart attack.<h4>Methods</h4>We used data from the National Epidemiologic Survey on Alcohol and Related Conditions (n = 34,445). Respondents completed interviews at baseline (2001-2002) and follow-up (2004-2005). Weighted multilevel modeling was used to determine if US state-level income inequality (measured by the Gini coefficient) at baseline was a predictor of heart attack during fo ...[more]

PMID: 25981210

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Project description:Background: Studies have shown that problems related to adult gambling have a geographical and social gradient. For instance, adults experiencing gambling-related harms live in areas of greater deprivation; are unemployed, and have lower income. However, little is known about the impact of socioeconomic inequalities on adolescent problem gambling. The main purpose of the present study was to investigate the contextual influences of income inequality on at-risk or problem gambling (ARPG) in a large-scale nationally representative sample of Italian adolescents. A secondary aim was to analyze the association between perceived social support (from family, peers, teachers, and classmates) and ARPG. Methods: Data from the 2013-2014 Health Behavior in School-aged Children Survey (HBSC) Study was used for cross-sectional analyses of ARPG. A total of 20,791 15-year-old students completed self-administered questionnaires. Region-level data on income inequality (GINI index) and overall wealth (GDP per capita) were retrieved from the National Institute of Statistics (Istat). The data were analyzed using the multi-level logistic regression analysis, with students at the first level and regions at the second level. Results: The study demonstrated a North-South gradient for the prevalence of ARPG, with higher prevalence of ARPG in the Southern/Islands/Central Regions (e.g., 11% in Sicily) than in Northern Italy (e.g., 2% in Aosta Valley). Students in regions of high-income inequality were significantly more likely than those in regions of low-income inequality to be at-risk or problem gamblers (following adjustment for sex, family structure, family affluence, perceived social support, and regionale wealth). Additionally, perceived social support from parents and teachers were negatively related to ARPG. Conclusions: Income inequality may have a contextual influence on ARPG. More specifically, living in regions of highest income inequality appeared to be a potential factor that increases the likelihood of becoming an at-risk or problem gambler. Findings of the study suggest that wealth distribution within societies affected by economic policies may indirectly have an influence adolescent gambling behaviors.

Dataset Information

US State-level income inequality and risks of heart attack and coronary risk behaviors: longitudinal findings.

Objectives

Methods

Results

Conclusions

Publications

US State-level income inequality and risks of heart attack and coronary risk behaviors: longitudinal findings.

Similar Datasets

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