interpret the hazard as you would a risk ratio or rate ratio.

What can you say about the effect of racial residential segregation on incident obesity based on the ratio measures? Use the "Discrete-Time Hazard Model HRs" (Hazard Ratios) columns for your interpretations. Consider both the size/magnitude of the ratio measure as well as the 95% confidence intervals.

Describe one pattern that you see in the table.

Pool et al. Epidemiology . Volume 29, Number 2, March 2018 TABLE 3. Hazard of Incident Obesity by Racial Residential Segregation Among Black Women and Men in the CARDIA Study, 1985-2011 Women (n = 1,032) Men (n = 888) Discrete Time Hazard Marginal Structural Discrete Time Hazard Marginal Structural Model HR (95% CI) Model HR (95% CI) Model HR (95% CD) Model HR (95% CD) Baseline segregation High 1.4 (0.93, 2.1) 0.94 (0.62, 1.4) Medium 1.4 (0.87, 2.2) 0.86 (0.52, 1.4) Low 1.0 1.0 Time-varying segregation High 1.2 (0.94, 1.6) 1.3 (1.0, 1.7) 0.93 (0.66, 1.3) 0.86 (0.61, 1.2) Medium 1.2 (0.85, 1.6) 1.2 (0.86, 1.6) 1.0 (0.85, 1.6) 0.96 (0.64, 1.4) Low 1.0 1.0 1.0 1.0 Cumulative segregation High 1.5 (0.93, 2.2) 1.5 (1.0, 2.3) 1.0 (0.64, 1.6) 0.94 (0.59, 1.5) Medium 1.3 (0.82, 2.2) 1.4 (0.92, 2.3) 0.99 (0.60, 1.6) 0.95 (0.58, 1.6) Low 1.0 1.0 1.0 1.0 "Levels of racial residential segregation categorized into high, medium, and low based on the value of the local G,*statistic, which measures the deviation of the racial composition of the census tract from the larger area. Segregation levels based on a G,*statistic = score of less than 0, 0-1.96, and greater than 1.96, represent low, medium, and high categories, Tespectively