Table 2.

Multivariable logistic regression models of Health indicators by cancer status between occupational sectors among U.S. adults. National Health Interview Survey, 1997–2009 ¹

	Poor-Fair Health status   OR [95%CI]	Functional limitations   OR [95%CI]	Chronic conditions   OR [95%CI]	Bed-days (>1week)   OR [95%CI]
Occupational sectors (n=22,952)
All workers with cancer	0.25 [0.24–0.26]	0.37 [0.35–0.38]	0.30 [0.27–0.32]	0.28 [0.27–0.29]
White collar with cancer	0.29 [0.25–0.33]	0.37 [0.34–0.42]	0.36 [0.28–0.45]	0.36 [0.32–0.41]
Blue collar with cancer	0.57 [0.45–0.73]	0.48 [0.39–0.59]	0.73 [0.51–1.03]	0.47 [0.36–0.60]
Farm worker with cancer	0.12 [0.05–0.29]	0.34 [0.20–0.60]	0.44 [0.16–1.27]	0.30 [0.13–0.65]
Service worker with cancer	0.35 [0.28–0.43]	0.41 [0.34–0.49]	0.47 [0.32–0.69]	0.40 [0.31–0.52]
Unemployed with cancer	1.00	1.00	1.00	1.00
Occupational sectors (n=227,539)
All workers with cancer	2.06 [1.96–2.17]	1.72 [1.64–1.80]	1.31 [1.22–1.41]	1.89 [1.79–2.01]
White collar with cancer	2.24 [1.97–2.55]	1.79 [1.61–1.97]	1.56 [1.22–1.99]	2.42 [2.11–2.77]
Blue collar with cancer	4.44 [3.51–5.60]	2.29 [1.87–2.80]	3.16 [2.19–4.56]	3.13 [2.44–4.03]
Farm worker with cancer	0.95 [0.40–2.23]	1.64 [0.96–2.83]	1.94 [0.67–5.62]	1.97 [0.89–4.35]
Service worker with cancer	2.67 [2.15–3.31]	1.96 [1.63–2.36]	2.06 [1.40–3.04]	2.69 [2.10–3.45]
Employed without cancer	1.00	1.00	1.00	1.00
Between Occupational sector comparisons for workers with cancer diagnosis (n=9,302)
Blue collar vs White collar	1.98 [1.53–2.56]	1.28 [1.04–1.59	2.03 [1.35–3.05]	1.29 [0.98–1.70]
Farm vs White collar	0.42 [0.18–1.00]	0.92 [0.53–1.59]	1.24 [0.41–3.75]	0.82 [0.37–1.81]
Service vs White collar	1.19 [0.92–1.55]	1.10 [0.89–1.36]	1.32 [0.86–2.04]	1.11 [0.85–1.45]
Farm vs Blue collar	0.21 [0.09–0.52]	0.72 [0.40–1.28]	0.61 [0.20–1.88]	0.63 [0.28–1.41]
Service vs Blue collar	0.60 [0.43–0.83]	0.86 [0.66–1.10]	0.65 [0.40–1.07]	0.86 [0.61–1.20]
Service vs Farm	2.82 [1.16–6.86]	1.19 [0.68–2.10]	1.06 [0.35–3.24]	1.36 [0.60–3.10]

¹Model comparisons controlled for socio-demographic characteristics including age, gender, race, ethnicity, education and health insurance.