OBJECTIVE To determine baseline variables associated with low intentions of stopping smoking early in pregnancy.
DESIGN Cross sectional survey.
PARTICIPANTS Pregnant smokers pooled across seven Smoke-Free Families trials (n = 1314).
RESULTS 36% of pregnant smokers had low intentions of stopping smoking within the next 30 days. In contrast to pregnant smokers with higher intentions of quitting, pregnant smokers with low intentions were less confident in their ability to quit, less likely to have private health insurance, and less likely to agree that smoking harms the unborn child. They were more likely to smoke heavily, more likely to have fewer years of education, and more likely to have friends and family members who smoke.
CONCLUSIONS Three options to smoking cessation assistance are proposed for pregnant smokers with low intentions of quitting: targeting, triage, and tailoring. Further research is needed to determine which approach is most appropriate.
- smoking cessation
Statistics from Altmetric.com
If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.
Smoking cessation programs for pregnant women in the USA have reported smaller effects in more recent trials compared to studies conducted in the early 1980s.1-3 One hypothesis is that more of the women who smoke before pregnancy stop as soon as they recognise the pregnancy, leaving less motivated, more addicted smokers still smoking. “Spontaneous quitters” are typically light smokers who are well educated, have less saturated smoking networks, and more recognition of the risks of smoking during pregnancy. Evidence that spontaneous cessation among pregnant women has increased is not clear, however. Secker-Walker and colleagues observed a steady proportion of spontaneous quitters (23% and 24%, respectively) across time in their studies of low income, pregnant, white women in Vermont.4 5 Ershoff and Quinn found a larger proportion of spontaneous quitters in the late 1990s (60%) compared to the mid 1980s (40%) among pregnant women receiving care from health maintenance organisations (HMOs).3 6 Windsor and colleagues reported a spontaneous quit rate of 15% among low income African American pregnant women in the 1980s,7 8 as contrasted with a rate of approximately 22% in their current study among Medicaid recipients in Alabama (R Windsor, personal communication, September 1999).
Additional evidence from the Birmingham trials that the profile of smokers presenting for prenatal care has changed during the past decade is the finding that the mean cotinine concentrations at entry into prenatal care have increased approximately 80 ng/ml (R Windsor, personal communication, September 1999). Data from several studies have revealed that cognitive behavioural prenatal cessation programs have had minimal impact on the subset of more addicted smokers.8-12
A related hypothesis to account for the diminished impact of cessation programs in recent trials of pregnant women suggests that a sizeable proportion of pregnant smokers who do not quit spontaneously on their own when they find out about their pregnancy may have low readiness to change. Results from several smoking cessation trials with pregnant women reveal the lowest quit rates during pregnancy among these women.3 13 This group of smokers warrants further attention if we are to understand the outcomes of smoking cessation trials with pregnant women and push the modest gains in cessation to higher levels.
This paper uses cross sectional data pooled across seven smoking cessation trials comprised of pregnant women who are starting prenatal care or the WIC program (Women, Infants, and Children Supplemental Feeding Program) with the objective of contrasting smokers with low intentions of quitting within the next 30 days with their counterparts who have higher intentions of quitting within the same timeframe.
SETTING AND DATA COLLECTION
Data for the analysis were obtained from the Smoke-Free Families projects that focused on cessation during the prenatal period. Further details regarding the individual study sites are available elsewhere3 and in this issue.14-18 The sites encompassed diverse populations, including a large prepaid group practice with a predominantly middle class, privately insured population, a university teaching hospital and WIC/public health maternity clinics serving Medicaid beneficiaries and uninsured women. Between February 1996 and November 1997, baseline questionnaires were administered to 1528 pregnant smokers who were < 26 weeks' gestation and gave consent for one of the trials. The current analysis is based on the 1372 cases in which women reported at baseline that: (a) they were current smokers; (b) they had smoked more than one cigarette in the previous seven days; and (c) they responded to the item assessing their intention to quit smoking within the next 30 days.
With the exception of two sites where data were obtained from telephone3 or face-to-face interviews,18baseline data were from self administered questionnaires. In addition to other constructs that may have been included, the baseline questions at each site included approximately 25 “core items”. The timing of the administration of the baseline instrument relative to a woman's first visit for prenatal medical care varied by site. At sites where the location of the research study and the obstetric care were identical, the baseline instrument was usually administered at the first visit. Conversely, in sites when subjects were impaneled at WIC clinics or other non-medical settings, the baseline was often administered several weeks after the first prenatal visit. The baseline assessment was administered, on average, at 12.9 weeks gestation (57.5% in the first trimester).
Two “core items” assessed behavioural intentions regarding cessation during pregnancy. The first item assessed whether the woman was seriously thinking about quitting smoking completely during the pregnancy. The subset of women who indicated that they were serious were next asked if they were planning to quit smoking completely within the next 30 days. Approximately 80% (1115/1372) of women reported that they were seriously thinking about quitting during pregnancy, and 64% (881/1372) indicated that they intended to quit within the next 30 days.
Given the known social desirability of response associated with asking pregnant women whether they intend to quit during pregnancy, especially in a clinical setting, we felt the more restrictive 30 day measure would provide a more valid assessment of pregnant smokers' behavioural intentions with respect to cessation. Also, we regarded this timeframe as more consistent with the health benefits of stopping smoking in pregnancy—the earlier the better. Thus, the dependent variable for the study classified pregnant smokers into the 36% (n = 491) who did not intend to quit within the next 30 days (low intentions), and the remaining 64% (n = 881) who provided an affirmative response regarding cessation intentions within this timeframe (high intentions).
Substantial variation was observed across the seven sites in the percentage of smokers with low intentions, ranging from lows of 15% at Kaiser Permanente3 and 26% at Oregon15 to a high of 57% at Dana Farber.14 In the four other sites, the percentage of women classified as low intention ranged from 42–48%.
Data from two of the trials3 18 were used to check prospectively the relationship between baseline behavioral intentions with end-of-pregnancy biochemically confirmed, seven day point prevalence cessation. A strong association was detected, with only 9% of women with low intentions to quit within 30 days of baseline classified as biochemically confirmed quitters (9/101) as contrasted with 23% (80/351) of women with high intentions. The promising predictive validity of this behavioural intention item prompted the current analysis which sought to identify multivariate predictors of high versus low intentions to quit smoking.
The baseline core measures included: (1) sociodemographic characteristics (age, education, race/ethnicity, health insurance status); (2) level of addiction (number of cigarettes and minutes to first cigarette in the morning) before pregnancy and currently; (3) smoking history (prior quit attempts and age of smoking initiation); (4) beliefs (motivation to quit and motivation to continue smoking during pregnancy and belief in the impact of smoking on the health of the mother and the fetus); (5) confidence in their ability to quit in the next 30 days; (6) social networks and social support (number of friends and family who smoke, number of smokers in the household, and expected support from family, friends and co-workers if a quit attempt were made); and (7) mental health (lifetime episode of feeling “down” or being “depressed” for more than two weeks, and feeling “downhearted and blue” during the previous month from the Mental Health Index-5).19 The response categories for the belief, social support, and confidence items, respectively, were “none/not at all” (coded 1), “a little” (coded 2), “some” (coded 3), and “a lot/very” (coded 4). The response categories for depression in the last month (for this analysis) ranged from “none of the time” (coded 1) to “all of the time” (coded 4). The item assessing how many friends and family members smoked also had four response categories, from “none” (coded 1) to “most” (coded 4).
Subjects classified into the categories of intending and not intending to quit within the next 30 days were compared on baseline measures using χ2 for categorical variables and thet test for continuous variables. Items with four response categories were treated as continuous variables in both the univariate and multivariate analyses. An α of < 0.05 was the criterion for significance. Forward, stepwise logistic regression analysis was used to assess the combined influence of baseline variables in differentiating women with low and high intentions of quitting within the next 30 days. The odds ratio (and 95% confidence intervals) was used to measure the degree of association between the significant multivariate predictors and behavioral intention. All statistical analyses were conducted using SPSS for Windows, Version 7.5.
Overall, the sample can be characterised as being in their mid-20s and having had an average of 12 years of education; three quarters were white, 41% were primipara, and 41% had private health insurance (table 1). With the exception of age, significant group differences were detected for all demographic variables. As contrasted with women with low intentions, women with high intentions had more years of education, were more likely to be Hispanic, primiparous, and covered by private health insurance; they were also more likely to have completed the baseline survey within the first trimester of their pregnancy.
Before this pregnancy, the sample had smoked nearly a pack a day, which by the time of the administration of the baseline had been reduced by half. Similarly, nearly two thirds of the sample reported having smoked their first cigarette within 30 minutes of waking before pregnancy, down to 40% at baseline. Subjects had begun smoking regularly at age 15, reported two quit attempts before the pregnancy, with half reporting a quit of at least 24 hours since having learned of this pregnancy. Significant group differences were detected for all of these items. The subgroup of women with high intentions were lighter smokers (both before pregnancy and at baseline) and appeared less addicted to nicotine at both time periods. Women with high intentions reported more quit attempts both before and during this pregnancy, and, on average, had started smoking on a regular basis approximately a year after women with low intentions.
Nearly two thirds of the sample reported that they wanted to stop smoking “a lot” versus 6% who said they wanted to continue to smoke “a lot”. Nearly two thirds of the sample endorsed the statement that cigarette smoking could harm the health of their unborn child “a lot” and nearly three quarters felt that cigarette smoking could harm their own health during pregnancy. One quarter were “very confident” in their ability to quit smoking in the next month. Significant differences were observed between the high and low intention groups on each of these five items. The high intention subgroup endorsed higher motivation to quit, stronger belief in the harmful effects of smoking on their own health and that of their fetus, and more confidence in their ability to quit during pregnancy.
Nearly half of the study participants reported that “most” of their friends and family that they see regularly were smokers. Nevertheless, two thirds anticipated “a lot” of support if they tried to quit. As contrasted with women reporting low intentions, those with high intentions reported that fewer of their friends smoked, and they anticipated receiving more support. No group differences were found for the presence of another smoker in the household, with approximately two thirds of subjects in both groups reporting that they lived with another smoker. Finally, although women with high intentions were less likely to have experienced a lifetime episode of depression (35%v 44%), no group differences emerged with respect to reports of “feeling down and blue” during the prior month.
PREDICTORS IN MULTIVARIATE ANALYSES
All except three baseline measures were used in the regression analysis to identify combinations of predictors differentiating women with high versus low intentions of quitting within 30 days of baseline. Because the measures assessing motivation to quit (that is, desire to stop and keep smoking) and previous quit attempts during the pregnancy were closely related to the construct assessed by the dependent variable, these items were dropped as potential predictors. Missing values in one or more predictors reduced the total sample size for the analysis to 1313. As shown in table 2, in order of entry, six variables entered and remained in the equation: (1) confidence in ability to quit; (2) private health insurance coverage; (3) number of cigarettes at baseline; (4) belief that cigarette smoking can harm the unborn child; (5) years of education; and (6) number of family members and friends who smoke (recoded for the analysis with 1 representing “most” and 4 now coded as “none”). The Nagelkerke R2 which provides an approximation of the explained variance for a logistic model revealed that the six variables in the model account for 35% of the explained variation.
As contrasted with women with low intentions to quit within 30 days of the baseline, women with high intentions were more confident in their ability to quit, were more likely to have private health insurance, smoked fewer cigarettes per day at baseline, were more likely to report that they believed in the harmful effects of cigarette smoking on the health of their unborn baby, were more highly educated and had fewer friends and relatives who smoked.
As shown by the Wald test, and odds ratio, confidence clearly emerged in the multivariate model as the strongest predictor of quitting intentions. With only confidence in the model, the Nagelkerke R2 was 0.26. Private health insurance coverage (dichotomous item), baseline smoking rate (continuous variable), and belief in the harmful effects of cigarettes on the fetus (ordinal scale) had similar explanatory power (that is, all with a Wald value of 22), although the dissimilar metric of these measures complicates the task of directly comparing the odds ratios. The inclusion of these three items increased the Nagelkerke R2 to 0.34. Finally, educational level, and an item assessing smoking social networks, were significant predictors within the context of the other four variables, although the inclusion of these two measures increased the Nagelkerke R2 only slightly to 0.35.
Our findings indicate that several baseline characteristics differentiate pregnant smokers with low intentions to stop smoking from those with high intentions. In the multivariate analysis predicting intentions at baseline, we found that women with low intentions were less confident in their ability to quit smoking, less likely to have private health insurance, and less convinced that smoking harms the unborn child. Additionally, they smoked more cigarettes per day, had fewer years of education, and were more likely to have friends and family members who smoke. These variables associated with low intentions to quit smoking early in prenatal care reflect smoking beliefs, addiction, demographic characteristics, and the social environment. Thus, a combination of factors conspires to produce low intentions to quit smoking early in prenatal care.
Prior studies of pregnant smokers have observed a significantly lower quit rate at the end of pregnancy among women with low intentions to quit during their pregnancy compared to smokers with higher intentions to quit. Solomon and colleagues20 found that pregnant smokers with low intentions to quit who received physician smoking cessation advice plus counselling from an obstetric nurse at their first prenatal visit were more likely to make positive changes in their smoking by their second prenatal visit compared to pregnant smokers with low intentions who received physician advice alone. The experimental condition had no effect on end-of-pregnancy quit rates among smokers with low intentions, however, and findings from two studies among the Smoke-Free Families projects reported in this supplement observed similar low levels of quitting (less than 10%) among pregnant smokers with low intentions at baseline.3 18
Because we are least successful in our efforts to help pregnant women with low intentions of stopping smoking, and because over a third of pregnant women who smoke have low intentions of quitting early in prenatal care, it is useful to consider the options for smoking cessation assistance with this group.
We know from the broader literature on processes of change that few change strategies are routinely employed by persons with low intentions of quitting.21-23 We also know from our own findings that these women face attitudinal, addiction related, and environmental barriers to change. Thus, one option is to invest considerable resources in helping these women by simultaneously addressing each of these barriers. This might mean, for example, employing motivational interviewing to affect beliefs about smoking and confidence in quitting,24 25 considering the early use of nicotine replacement or other pharmacologic agents to overcome the addiction itself,26 27 and supplying ongoing support, problem solving, and reinforcement throughout the pregnancy to counter the adverse influences of a smoking environment.28 This option could be characterised as targeting smokers identified as having low intentions and providing maximal intervention to try to change their smoking behaviour.
An alternative approach might recognise that health care providers have a finite amount of time and resources to invest in helping pregnant women stop smoking, and acknowledge that we are least successful in helping those with low intentions. Therefore, we might choose to invest more resources in those pregnant smokers with whom we are most successful, and provide minimal assistance to those with poor prognostic profiles. This approach, which might be called triage, limits the effort spent with smokers having low intentions of quitting and places higher priority on assisting more promising clients.
A third option might fall between the other two. This approach, which could be considered tailoring, would recognise the barriers to quitting faced by pregnant smokers with low quitting intentions, acknowledge that the goal of quitting smoking during pregnancy may be unrealistic, and seek to help these women with a harm reduction approach. Such a strategy might set substantial reduction in cigarettes per day or in cotinine or carbon monoxide concentration as the goal during pregnancy. Findings from several studies indicate that substantial reductions in smoking (to as low as five cigarettes per day) have a positive impact on infant birth weight29 30. Thus, this more proximal goal of substantial reduction during pregnancy could achieve some health benefit and may be more palatable to smokers with low intentions than the goal of quitting. Because the goal of this approach would be individualized, it could be considered a form of tailoring.31
Targeting, triaging, and tailoring represent three clinical approaches to the management of smoking among pregnant women with low intentions of quitting. Controlled outcome trials that include a cost effectiveness analysis may be the only way to sort out which approach makes the most sense for this segment of the population.
The authors wish to acknowledge the support of the Robert Wood Johnson Foundation's Smoke Free Families Program and recognise the investigators and collaborating organisations of the seven projects whose data are used here: Karen M Emmons, Dana Farber Cancer Institute; Douglas W Hoffman and Judith E Frank, Dartmouth-Hitchcock Medical Center; Susan L Prows and Rebecca J Donatelle, Oregon State University; Walter J Scott, Creighton University; and the authors, Ershoff, Southern California Kaiser-Permanente; Mullen, University of Texas-Houston; and Solomon, University of Vermont. We give special thanks to H Pennington Whiteside, Richard Windsor, Joyce Atkinson, and Jinrong Hou of the National Program Office for their insightful comments and technical assistance.