Table 4.

Hierarchical logistic regression on the probability of being unable to work: NHIS 1997–2007, n = 185,115

	Model 1	Model 2: Model 1 + Race/Ethnicity	Model 3: Model 2 + Education	Model 4: Model 3 + Education × Time	Model 5: Model 4 + Obese	Model 6: Model 5 + Obese × Female
	Parameter estimates [odds ratios]	Parameter estimates [odds ratios]	Parameter estimates [odds ratios]	Parameter estimates [odds ratios]	Parameter estimates [odds ratios]	Parameter estimates [odds ratios]
Years since 1997	−0.0103*** [0.990]	−0.0113*** [0.989]	0.0112*** [1.011]	−0.0081 [0.992]	0.0030 [1.003]	0.0026 [1.003]
Age	0.0270*** [1.027]	0.0279*** [1.028]	0.0124*** [1.012]	0.0123*** [1.012]	0.0023 [1.002]	0.0022 [1.002]
Female	0.0329* [1.033]	0.0195 [1.020]	−0.0064 [0.994]	−0.0063 [0.994]	−0.0253 [0.975]	−0.1747*** [0.840]
Non-Hispanic Black		0.7002*** [2.014]	0.4957*** [1.642]	0.4951*** [1.641]	0.4706*** [1.601]	0.4499*** [1.568]
Hispanic		0.1939*** [1.214]	−0.5935*** [0.552]	−0.5903*** [0.554]	−0.4841*** [0.616]	−0.4932*** [0.611]
Education			−0.1573*** [0.854]	−0.1642*** [0.849]	−0.1660*** [0.847]	−0.1658*** [0.847]
Education × Time				0.0015* [1.001]	0.0012*** [1.001]	0.0012 [1.001]
Obese					0.5038*** [1.655]	0.2677*** [1.307]
Obese × Female						0.4208*** [1.523]
Adj. R 2	0.0049	0.0155	0.0748	0.0749	0.0932	0.0950
−2 Log Likelihood	122,992.79	122,031.71	112,961.70	112,956.43	55,659.001	55,577.967

The introduction of obesity reduces the number of respondents in Models 5 and 6 to 78,415

* p < 0.05, *** p < 0.001