The Association Between Income and Life Expectancy in the United States, 2001-2014.

نویسندگان

  • Raj Chetty
  • Michael Stepner
  • Sarah Abraham
  • Shelby Lin
  • Benjamin Scuderi
  • Nicholas Turner
  • Augustin Bergeron
  • David Cutler
چکیده

IMPORTANCE The relationship between income and life expectancy is well established but remains poorly understood. OBJECTIVES To measure the level, time trend, and geographic variability in the association between income and life expectancy and to identify factors related to small area variation. DESIGN AND SETTING Income data for the US population were obtained from 1.4 billion deidentified tax records between 1999 and 2014. Mortality data were obtained from Social Security Administration death records. These data were used to estimate race- and ethnicity-adjusted life expectancy at 40 years of age by household income percentile, sex, and geographic area, and to evaluate factors associated with differences in life expectancy. EXPOSURE Pretax household earnings as a measure of income. MAIN OUTCOMES AND MEASURES Relationship between income and life expectancy; trends in life expectancy by income group; geographic variation in life expectancy levels and trends by income group; and factors associated with differences in life expectancy across areas. RESULTS The sample consisted of 1,408,287,218 person-year observations for individuals aged 40 to 76 years (mean age, 53.0 years; median household earnings among working individuals, $61,175 per year). There were 4,114,380 deaths among men (mortality rate, 596.3 per 100,000) and 2,694,808 deaths among women (mortality rate, 375.1 per 100,000). The analysis yielded 4 results. First, higher income was associated with greater longevity throughout the income distribution. The gap in life expectancy between the richest 1% and poorest 1% of individuals was 14.6 years (95% CI, 14.4 to 14.8 years) for men and 10.1 years (95% CI, 9.9 to 10.3 years) for women. Second, inequality in life expectancy increased over time. Between 2001 and 2014, life expectancy increased by 2.34 years for men and 2.91 years for women in the top 5% of the income distribution, but by only 0.32 years for men and 0.04 years for women in the bottom 5% (P < .001 for the differences for both sexes). Third, life expectancy for low-income individuals varied substantially across local areas. In the bottom income quartile, life expectancy differed by approximately 4.5 years between areas with the highest and lowest longevity. Changes in life expectancy between 2001 and 2014 ranged from gains of more than 4 years to losses of more than 2 years across areas. Fourth, geographic differences in life expectancy for individuals in the lowest income quartile were significantly correlated with health behaviors such as smoking (r = -0.69, P < .001), but were not significantly correlated with access to medical care, physical environmental factors, income inequality, or labor market conditions. Life expectancy for low-income individuals was positively correlated with the local area fraction of immigrants (r = 0.72, P < .001), fraction of college graduates (r = 0.42, P < .001), and government expenditures (r = 0.57, P < .001). CONCLUSIONS AND RELEVANCE In the United States between 2001 and 2014, higher income was associated with greater longevity, and differences in life expectancy across income groups increased over time. However, the association between life expectancy and income varied substantially across areas; differences in longevity across income groups decreased in some areas and increased in others. The differences in life expectancy were correlated with health behaviors and local area characteristics.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

The survey association between gender inequity with health- adjusted life expectancy in Iranian women and comparison it’s indicators with other world countries with health equity approach

Abstract: Healthy life expectancy is the best single index that is show the mean of health base of population. The purpose of this research is investigation of correlation between Health life expectancy with sexual inequities and comparison of its markers with global information with equity in health approach. In this descriptive - analytical study, the statistical population is the total of wo...

متن کامل

Social Determinants of Polypharmacy in First Generation Mexican Immigrants in the United States

Introduction: Socioeconomic status (SES) indicators are among the main social determinants of health and illness. Less, however, is known about the role of SES in the epidemiology of polypharmacy in immigrant Latino Americans living in the United States. This research studied the association between three SES indicators, education, income, and employment, and polypharmacy in ol...

متن کامل

Association between Heart Disease and Subjective Health in Ten North, Middle, and South American Countries

Introduction: This study was conducted to compare 10 American countries for the association between self-reported physician diagnosis of heart disease and subjective health above and beyond the effect of socio-economic factors. Methods: With a cross-sectional design, this study used data from Research on Early Life and Aging Trends and Effects (RELATE). T...

متن کامل

The Effect of Income Distribution on life expectancy and under-5 mortality rate in Iran

Health can affects human abilities, functions and even his life quality, and hence has important role in determination of human capital through production processes. The aim of this study is to examine the effect of income inequality on selected health indices in Iran during 1976-2007. In this study an attempt has been made to analyze the relationship between income inequality and the both of ...

متن کامل

Determinants of Life Expectancy: A Cross- Country Analysis

This paper analyzes the effects of socio-economic factors on life expectancy. Using multiple regression analysis, the paper shows that there is a positive strong correlation between life expectancy as an independent variable and per capita income, health expenditures, literacy rate and daily calorie intake. Also, it shows that there is a negative strong correlation between life expectancy and n...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • JAMA

دوره 315 16  شماره 

صفحات  -

تاریخ انتشار 2016