Table 3.

Stepwise Poisson regression models estimating for the association between gentrification and income inequality measures with metabolic syndrome (n = 6647).

	Model 1, With Individual- level characteristics	Model 1+ Neighborhood- level characteristics
	Incident Rate Ratios [95% Confidence Interval]
Gentrification Index	0.99 [0.96–1.02]	1.00 [0.96–1.03]
Neighborhood immigrant composition		1.06 [0.98–1.14]
Income Inequality Change	1.00 [0.99–1.00]	1.00 [0.99–1.00]
Neighborhood deprivation		1.06 [0.98–1.15]
Neighborhood immigrant composition		1.04 [0.97–1.12]
Income Inequality 2005–2009	1.01 [0.86–1.19]	0.97 [0.82–1.15]
Neighborhood deprivation		1.08 [0.99–1.17]
Neighborhood immigrant composition		1.04 [0.97–1.12]

Note. Model one and two controlled for sex, education (high school or less, more than high school), employment status (employed, other), language preference (English, Spanish), years in the US combined with nativity (US born, years US ≥ 10, years US < 10), Hispanic/Latino heritage (Dominican, Central or South American, Cuban, Mexican, Puerto Rican, other/>1 background group), marital status (married, other), health insurance (private, public, uninsured) and income (less than $10,000; $10,001-$20,000; $20,001-$40,000; $40,001-$75,000; more than $75,000). Model two added neighborhood characteristics. Higher gentrification values indicate greater gentrification marked by increases in residents with a college education and median household income and decreases in poverty. Income inequality change was calculated with a percent change of the 2005–2009 and the 2012–2016 Gini coefficient of income distribution.