Table 1.

Descriptive Statistics of the Cross-Sectional and Longitudinal Samples

	Cross-sectional (N = 3010)	Longitudinal (n = 804)
Demographics and Smoking Behaviors	Mean ± SD	Mean ± SD
Age (years)	52 ± 14	54 ± 13
Education (years)	13 ± 2	13 ± 2
Cigarettes per day	13 ± 10	14 ± 10
	%	%
Female	64	66
Race/Ethnicity
Non-Hispanic White	43	45
Non-Hispanic Black	47	49
Hispanic	6	4
Other	3	3
Marital status
Married/Living as married	35	33
Divorced/Widowed/Separated	34	36
Never married	31	31
Children present in home	32	28
Own their home (vs. rent)	62	61
Income ($40,000 or more)	35	35
Employed	41	41
More than monthly religious attendance	44	43
Insurance
Any insurance other than Medicaid	56	57
Medicaid	35	35
Not covered by insurance	9	8
Has a doctor	78	80
Health status
Very good/Excellent	25	26
Good	39	37
Fair/Poor	37	37
Health orientation
Strongly agree	70	72
Somewhat agree	26	25
Disagree	4	3
Less than 5 minutes to first cigarette	28	29
Living situation
All smokers	19	19
Some smokers	10	11
All others non-smokers	35	33
Alone	36	37
Campaign-relevant Measures
Campaign exposure in the past month	67.0	81.8
Talked about quitting in the past month	20.3	24.7
Talked about ads a	21.1	24.8
Sought help in the past month	13.5	16.7
Tried to quit completely in the past month	19.7	23.4
Sought help in the past 3 months	32.6	33.8
Tried to quit completely in the past 3 months	34.2	35.5

Note. Sample size reflects the final analytic sample, which does not include those missing on confounders.

^aCross-sectional n = 2014 and longitudinal n = 658 due to missing data on the talked about ads variable (participants who reported zero exposure to the campaign ads were not asked this measure).