OBJECTIVES: The goal was to investigate the relationships of income and income inequality with neonatal and infant health outcomes in the United States. METHODS: The 2000-2004 state data were extracted from the Kids Count Data Center. Health indicators included proportion of preterm births (PTBs), proportion of infants with low birth weight (LBW), proportion of infants with very low birth weight (VLBW), and infant mortality rate (IMR). Income was evaluated on the basis of median family income and proportion of federal poverty levels; income inequality was measured by using the Gini coefficient. Pearson correlations evaluated associations between the proportion of children living in poverty and the health indicators. Linear regression evaluated predictive relationships between median household income, proportion of children living in poverty, and income inequality for the 4 health indicators. RESULTS: Median family income was negatively correlated with all birth outcomes (PTB, r = -0.481; LBW, r = -0.295; VLBW, r = -0.133; IMR, r = -0.432), and the Gini coefficient was positively correlated (PTB, r = 0.339; LBW, r = 0.398; VLBW, r = 0.460; IMR, r = 0.114). The Gini coefficient explained a significant proportion of the variance in rate for each outcome in linear regression models with median family income. Among children living in poverty, the role of income decreased as the degree of poverty decreased, whereas the role of income inequality increased. CONCLUSIONS: Both income and income inequality affect infant health outcomes in the United States. The health of the poorest infants was affected more by absolute wealth than relative wealth.
OBJECTIVES: The goal was to investigate the relationships of income and income inequality with neonatal and infant health outcomes in the United States. METHODS: The 2000-2004 state data were extracted from the Kids Count Data Center. Health indicators included proportion of preterm births (PTBs), proportion of infants with low birth weight (LBW), proportion of infants with very low birth weight (VLBW), and infant mortality rate (IMR). Income was evaluated on the basis of median family income and proportion of federal poverty levels; income inequality was measured by using the Gini coefficient. Pearson correlations evaluated associations between the proportion of children living in poverty and the health indicators. Linear regression evaluated predictive relationships between median household income, proportion of children living in poverty, and income inequality for the 4 health indicators. RESULTS: Median family income was negatively correlated with all birth outcomes (PTB, r = -0.481; LBW, r = -0.295; VLBW, r = -0.133; IMR, r = -0.432), and the Gini coefficient was positively correlated (PTB, r = 0.339; LBW, r = 0.398; VLBW, r = 0.460; IMR, r = 0.114). The Gini coefficient explained a significant proportion of the variance in rate for each outcome in linear regression models with median family income. Among children living in poverty, the role of income decreased as the degree of poverty decreased, whereas the role of income inequality increased. CONCLUSIONS: Both income and income inequality affect infant health outcomes in the United States. The health of the poorest infants was affected more by absolute wealth than relative wealth.
Authors: Christine Dunkel Schetter; Peter Schafer; Robin Gaines Lanzi; Elizabeth Clark-Kauffman; Tonse N K Raju; Marianne M Hillemeier Journal: Perspect Psychol Sci Date: 2013-11-04
Authors: Jeanne L Alhusen; Deborah Gross; Matthew J Hayat; Anne B Woods; Phyllis W Sharps Journal: Res Nurs Health Date: 2012-01-19 Impact factor: 2.228
Authors: Frank J Elgar; Genevieve Gariepy; Melanie Dirks; Sophie D Walsh; Michal Molcho; Alina Cosma; Marta Malinowska-Cieslik; Peter D Donnelly; Wendy Craig Journal: JAMA Pediatr Date: 2019-07-01 Impact factor: 16.193