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. Author manuscript; available in PMC: 2022 Jan 1.
Published in final edited form as: Acad Pediatr. 2020 Jul 27;21(1):129–138. doi: 10.1016/j.acap.2020.07.018

Table 2:

Characteristics for Overall Sample and Latent Class Group

Parent or Child Characteristic Overall (N = 180) Impact on Child (n = 92, 51%) Gain-Framing (n = 63, 35%) Financial Impact (n = 25, 14%) P-value
Child gender 0.67
Male 92(51%) 50 (54%) 30 (48%) 12 (48%)
Female 88 (49%) 42 (46%) 33 (52%) 13 (52%)
Child race 0.61
White 39 (22%) 20 (22%) 13 (20%) 6 (24%)
Black or African American 103 (57%) 50 (54%) 41 (65%) 12 (48%)
Other 7 (4%) 3 (3%) 3 (5%) 1 (4%)
Multi-racial 31 (17%) 19 (21%) 6 (10%) 6 (24%)
Child ethnicity 0.30
Hispanic or Latino 26 (14%) 13 (14%) 7 (11%) 6 (24%)
Not Hispanic or Latino 154 (86%) 79 (86%) 56 (89%) 19 (76%)
Child age 0.035
< 1 year 31 (17%) 17 (19%) 9 (14%) 5 (20%)
1 – 5 years 66 (37%) 43 (47%) 16 (25%) 7 (28%)
6 – 12 years 62 (34%) 21 (23%) 30 (48%) 11 (44%)
13+ years 21 (12%) 11 (12%) 8 (13%) 2 (8%)
Child Insurance status 0.45
Medicaid 125 (70%) 60 (65%) 46 (73%) 19 (76%)
Private 51 (28%) 29 (32%) 17 (27%) 5 (20%)
Self-Pay 4 (2%) 3 (3%) 0 (0%) 1 (4%)
Child health 0.18
Excellent 92 (51%) 47 (51%) 34 (54%) 11 (44%)
Very Good 59 (33%) 26 (28%) 21 (33%) 12 (48%)
Good 22 (12%) 17 (19%) 4 (6%) 1 (4%)
Fair 6 (3%) 2 (2%) 3 (5%) 1 (4%)
Poor 1 (1%) 0 (0%) 1 (2%) 0 (0%)
Asthma 0.011
No 125 (69%) 70 (76%) 35 (56%) 20 (80%)
Yes 55 (31%) 22 (24%) 28 (44%) 5 (20%)
Chronic Lung Disease 0.27
No 178 (99%) 91 (99%) 63 (100%) 24 (96%)
Yes 2 (1%) 1 (1%) 0 (0%) 1 (4%)
Parent gender 0.66
Male 61 (34%) 32 (35%) 19 (30%) 10 (40%)
Female 119 (66%) 60 (65%) 44 (70%) 15 (60%)
Parent age 0.14
18 to 24 15 (8%) 9 (10%) 4 (6%) 2 (8%)
25 to 34 78 (43%) 42 (46%) 22 (35%) 14 (56%)
35 to 44 61 (34%) 33 (36%) 21 (33%) 7 (28%)
45 to 54 20 (11%) 8 (9%) 11 (18%) 1 (4%)
55 to 64 4 (2%) 0 (0%) 3 (5%) 1 (4%)
65 to 74 2 (1%) 0 (0%) 2 (3%) 0 (0%)
Parent education level 0.848
Some high school, but did not graduate 25 (14%) 13(14%) 9 (15%) 3 (12%)
High school graduate or GED 61 (34%) 27 (29%) 26 (41%) 8 (32%)
Some college or 2-year degree 70 (39%) 40 (44%) 21 (33%) 9 (36%)
4-year college graduate 15 (8%) 7 (8%) 5 (8%) 3 (12%)
More than 4-year college degree 9 (5%) 5 (5%) 2 (3%) 2 (8%)
Nicotine dependence1 0.139
Low dependence 72 (40%) 39 (42%) 27 (43%) 6 (24%)
Low to moderate dependence 52 (29%) 24 (26%) 18(28%) 10 (40%)
Moderate dependence 46 (26%) 26 (28%) 15 (24%) 5 (20%)
High dependence 10 (6%) 3 (3%) 3 (5%) 4 (16%)
Quit motivation2 0.624
Mean (SD) 6.4 (1.4) 6.5 (1.3) 6.6 (1.3) 6.2 (1.2)
Health literacy3 0.003
Adequate literacy 93 (52%) 60 (65%) 22 (35%) 11 (44%)
Limited literacy possible 73 (41%) 27 (29%) 33 (52%) 13 (52%)
Limited literacy likely 14 (8%) 5 (5%) 8 (13%) 1 (4%)
Site 0.773
Urban, Predominantly Medicaid Clinic 90 (50%) 44 (48%) 32 (51%) 14 (56%)
Urban/Suburban, Predominantly Private Insurance 40 (22%) 21 (23%) 14 (22%) 5 (20%)
Urban, Mixed Insurance 28 (16%) 14 (15%) 12 (19%) 2 (8%)
Suburban, Predominantly Private Insurance 22 (12%) 13 (14%) 5 (8%) 4 (16%)
1.

Via the Fagerström Test for Nicotine Dependence

2.

Via the Contemplation Ladder, an efficient and face-valid measure, which asks: “Which of the following best describes you?” with response options ranging from 1 (“I enjoy using cigarettes and have decided never to change it. I have no interest in changing the way that I use cigarettes”) to 10 (“I have quit using cigarettes and will never go back”).

3.

Via the Newest Vital Sign, a reliable and validated measure