| Literature DB >> 20948939 |
Carine Weiss1, Dirk Hanebuth, Paola Coda, Julia Dratva, Margit Heintz, Elisabeth Zemp Stutz.
Abstract
Recruiting adolescents into smoking cessation programs has been challenging, and there is a lack of effective smoking cessation interventions for this age group. We aimed to assess whether the approach of using aging images can be used to recruit young, female smokers for a smoking cessation course. In this study, 853 14- to 18-year-old subjects were photographed (2006-2007). After software-aided aging, the images evoked strong emotions, especially in subjects with an advanced motivational stage to quit. Twenty-four percent of current smokers reported that the aging images increased their motivation to quit smoking (pre-contemplation: 8%; contemplation: 32%; and preparation: 71%). In multivariate analyses, the aged images had a high motivational impact to quit smoking that was associated with an increased readiness to stop smoking and the individual's assessment of the aging images as shocking, but not with the number of previous attempts to quit and the assessment of the pictures as realistic. However, it was not possible to recruit the study population for a smoking cessation course. We concluded that aging images are a promising intervention for reaching young women and increasing their motivation to stop smoking. However, smoking cessation courses may not be appropriate for this age group: none of the recruits agreed to take a cessation course.Entities:
Keywords: adolescent women; aging images; motivational stages; recruitment; smoking cessation
Mesh:
Year: 2010 PMID: 20948939 PMCID: PMC2954560 DOI: 10.3390/ijerph7093499
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1.Study profile.
Characteristics of the study population organized by smoking status.
| Age M (SD) | 16 (1.4) | 16 (1.3) | 16.5 (1.0) | 16.7 (1.1) | 16.3 (1.3) | ||
| n (%) | n (%) | n (%) | n (%) | n (%) | |||
| Education/occupation N (%) | In school | 267 (70.6) | 122 (73.1) | 50 (53.2) | 107 (51.9) | 546 (64.6) | P < 0.001 |
| In training/working part-time | 102 (27) | 38 (22.8) | 38 (40.4) | 83 (40.3) | 261 (30.9) | ||
| Working full-time | 3 (0.8) | 5 (3) | 5 (5.3) | 9 (4.4) | 22 (2.6) | ||
| Housewife | 0 | 0 | 0 | 0 | 0 | ||
| Unemployed | 6 (1.6) | 0 | 1 (1) | 5 (2.4) | 12 81.4) | ||
| In my opinion, smoking makes me attractive. | Yes | 3 (0.8) | 15 (9) | 13 (13.8) | 48 (23.3) | 79 (9.4) | p < 0.001 |
| No | 366 (96.8) | 145 (86.8) | 73 (77.7) | 145 (70.4) | 729 (86.3) | ||
| In my opinion, smoking ruins beauty. | Yes | 344 (91) | 147 (88) | 78 (83) | 151 (73.3) | 720 (85.2) | p < 0.001 |
| No | 29 (7.7) | 17 (10.2) | 15 (16) | 45 (21.8) | 106 (12.5) | ||
| The subject “smoking and beauty” is important. | Yes | 305 (80.7) | 140 (83.8) | 76 (80.9) | 159 (77.2) | 680 (80.5) | n.s. |
| No | 47 (12.4) | 17 (10.2) | 10 (10.6) | 29 (14.1) | 103 (12.2) | ||
| I found the aging images realistic. | Highly | 114 (30.2) | 43 (25.8) | 21 (22.3) | 47 (22.8) | 225 (26.6) | p < 0.001 |
| A little | 189 (50) | 80 (47.9) | 57 (60.6) | 85 (41.3) | 411 (48.6) | ||
| Not at all | 21 (5.6) | 6 (3.6) | 7 (7.5) | 28 (13.6) | 62 (7.3) | ||
| I don’t know | 16 (4.2) | 7 (4.2) | 4 (4.3) | 11 (5.3) | 38 (4.5) | ||
| I found the aging images shocking. | Highly | 196 (51.9) | 89 (53.3) | 42 (44.7) | 84 (40.8) | 411 (48.6) | n.s. |
| A little | 106 (28) | 45 (27) | 30 (31.9) | 63 (30.6) | 244 (28.9) | ||
| Not at all | 23 (6.1) | 7 (4.2) | 6 (6.4) | 22 (10.7) | 58 (6.9) | ||
| I don’t know | 14 (3.7) | 5 (3) | 1 (1.1) | 7 (3.4) | 27 (3.2) | ||
Former smokers includes the category “I smoked occasionally, but not anymore” and “I smoked regularly, but not anymore.” Some totals are not 100% due to rounding.
Chi2 test.
Quit attempts and motivational stages of change before the aging procedure and organized by smoking status.
| Number of previous attempts to quit | None | 38 (40.4) | 49 (23.8) | 87 (29) |
| One | 19 (20.2) | 79 (38.3) | 98 (32.7) | |
| Two | 4 (4.3) | 31 (15.1) | 35 (11.7) | |
| More than two | 11 (11.7) | 46 (22.3) | 57 (19) | |
| 23 (7.7) | ||||
| Motivational stages of change | Pre-contemplation | 27 (28.7) | 95 (46.1) | 122 (40.7) |
| Contemplation | 25 (26.6) | 84 (40.8) | 109 (36.3) | |
| Preparation | 8 (8.5) | 17 (8.3) | 25 (8.3) | |
Previous quit attempts, opinion about smoking and beauty, and the perception of aging images organized by motivational stages of change in current smokers (N = 196)a.
| Mean age | 16.7 (1) | 16.8 (1.2) | 16.7 (1) | |||
| n (%) | n (%) | n (%) | ||||
| Number of previous attempts to quit | None | 33 (34.7) | 13 (15.5) | 2 (11.8) | p < 0.001 | p < 0.001 |
| One | 36 (37.9) | 35 (41.7) | 4 (23.5) | |||
| Two | 12 (12.6) | 14 (16.7) | 2 (11.8) | |||
| More than two | 13 (13.7) | 22 (26.2) | 9 (52.9) | |||
| In my opinion, smoking makes me attractive | Yes | 22 (23.2) | 21 (25) | 2 (11.8) | n.s. | n.s. |
| No | 68 (71.6) | 59 (70.2) | 13 (76.5) | |||
| In my opinion, smoking ruins beauty | Yes | 59 (62.1) | 67 (79.8) | 17 (100) | n.s. | p < 0.001 |
| No | 30 (31.6) | 15 (17.9) | 0 | |||
| I found the aging images realistic | Highly | 18 (19) | 21 (25) | 3 (17.7) | n.s. | n.s. |
| A little | 38 (40) | 33 (39.3) | 10 (58.8) | |||
| Not at all | 17 (17.9) | 9 (10.7) | 1 (5.9) | |||
| I don’t know | 7 (7.4) | 3 (3.6) | 1 (5.9) | |||
| I found the aging images shocking | Highly | 24 (25.3) | 42 (50) | 12 (70.6) | p < 0.01 | p < 0.001 |
| A little | 34 (35.8) | 24 (28.6) | 2 (11.8) | |||
| Not at all | 15 (15.8) | 6 (7.1) | 1 (5.9) | |||
| I don’t know | 6 (6.3) | 1 (1.29 | 0 | |||
| Aging images motivated me to quit smoking | Highly | 8 (19) | 27 (32.1) | 12 (70.6) | p < 0.001 | p < 0.001 |
| A little | 29 (30.5) | 32 (38.1) | 5 (29.4) | |||
| Not at all | 33 (34.7) | 3 (3.6) | 0 | |||
| I don’t know | 9 (9.5) | 7 (8.3) | 0 | |||
Eighteen participants were excluded due to missing data on the motivational stages of change.
The “I don’t know” category was treated as missing data.
Chi2 test.
Kruskal Wallis rank test (p-value with ties).
Nptrend (nonparametric test for trend across ordered groups).
Chi2 test of trend (tabodds).
Factors predicting a high motivational impact of aging images on quitting smoking in current smokers (N = 147).
| Smoking cessation intention | Does not intend to quit smoking | 1 |
| Intends to quit smoking | 7.91 [2.53, 24.80] | |
| Opinion on the effect of smoking on beauty and attractiveness | Smoking ruins beauty | 1 |
| Smoking does not ruin beauty | 0.07 [0.01, 0.52] | |
| Smoking does not make me attractive | 1 | |
| Smoking makes me attractive | 0.82 [0.08, 8.16] | |
| Number of previous quit attempts | None | 1 |
| One | 0.80 [0.19, 3.43] | |
| Two | 0.38 [0.07, 2.11] | |
| More than two | 3.43 [0.78, 15.13] | |
| Perception of aging images | Aging images are not highly realistic | 1 |
| Aging images are highly realistic | 3.24 [1.07, 9.76] | |
| Aging images are not highly shocking | 1 | |
| Aging images are highly shocking | 3.48 [1.27, 9.59] | |
p < 0.05,
p < 0.01, and
p < 0.001.
Logistic Regression includes N = 147 observations in with complete data for all variables.
Odds ratio adjusted for age and education/occupation.
The outcome is an affirmative answer to the question “aging images highly motivated me to quit smoking.”
Due to small numbers, participants from the contemplation and preparation stage of change were put into one category (intending to quit) vs. pre-contemplators (not intending to quit).
Includes the categories “a little”, “not at all”, and “I don’t know.”