Table 7.

Binary logistic regression models explaining the effect of number of health checks on smoking status and high blood pressure status at final check.

Parameter		Smoking status at final check (reference=nonsmoker)				High BPa (mm Hg) at final check (reference=no)
		ORb (95% CI)		P value		OR (95% CI)		P value
Number of health checks		0.959 (0.921-1.000)		.048		0.985 (0.964-1.005)		.14
High BP at initial check		N/Ac		N/A		0.113 (0.096-0.132)		<.001
Smoking status at initial check		0.010 (0.008-0.012)		<.001		N/Ac		N/A
Gender (reference=female)		1.074 (0.870-1.324)		.51		1.343 (1.145-1.574)		<.001
SEIFAd quintile (reference=quintile 5)
	Quintile 1		1.696 (1.277-2.252)		<.001		1.348 (1.075-1.691)		.01
	Quintile 2		1.296 (0.888-1.892)		.18		1.220 (0.907-1.640)		.19
	Quintile 3		1.403 (1.007-1.953)		.045		1.500 (1.183-1.901)		.001
	Quintile 4		1.001 (0.753-1.331)		.99		1.145 (0.919-1.425)		.23
Age		0.991 (0.984-0.998)		.02		1.028 (1.023-1.033)		<.001

^aBP: blood pressure.

^bOR: odds ratio.

^cN/A: Not applicable.

^dSEIFA: socioeconomic indexes for areas.