maternal prenatal depressive symptoms, nicotine addiction, and smoking-related knowledge, attitudes,...
TRANSCRIPT
Maternal Prenatal Depressive Symptoms, Nicotine Addiction,and Smoking-Related Knowledge, Attitudes, Beliefs,and Behaviors
Suezanne Tangerose Orr • Dan G. Blazer •
Caroline A. Orr
Published online: 24 May 2011
� Springer Science+Business Media, LLC 2011
Abstract Maternal smoking is a key preventable cause of
poor pregnancy outcomes, such as low birthweight. In
many areas of the United States, including Eastern North
Carolina, rates of prenatal smoking are high. Prenatal
depressive symptoms are associated with maternal smok-
ing, but there remains much to learn about this relationship,
especially among Black women, who have double the risk
of poor pregnancy outcomes of White women. In the study
reported in this paper, we investigated the relationship
between maternal prenatal depressive symptoms with
smoking behaviors, beliefs and attitudes, environmental
factors which promote smoking and nicotine addiction.
Pregnant women were enrolled in the study at the first
prenatal visit to the clinics of the Departments of Obstetrics
and Gynecology and Family Medicine of the Brody School
of Medicine, East Carolina University. An interviewer
administered a questionnaire to each woman about smok-
ing, smoking-related attitudes, knowledge, beliefs and
behaviors, nicotine addiction, and home environmental
factors that encourage smoking. The CES-D was used to
measure depressive symptoms. We used the cut-point score
of 23 or greater to indicate elevated depressive symptoms,
which is thought to represent major depressive disorder.
The sample consisted of 810 Black women, of whom 18%
were smokers. CES-D score was associated with nicotine
addiction, not thinking of quitting smoking, and not
expecting support from family and friends if they decided
to quit. Prenatal depressive symptoms may be a barrier to
smoking cessation.
Keywords Prenatal smoking � Pregnancy
Introduction
Maternal prenatal smoking is one of the key preventable
causes of poor pregnancy outcomes, such as low birth-
weight [1–3]. Despite widespread knowledge of the
harmful effects of smoking upon pregnancy outcomes,
many women continue to smoke during pregnancy, espe-
cially in certain areas of the country. In our prior work, we
demonstrated that close to 20% of pregnant Black women
seeking prenatal care in Greenville, North Carolina in
2001–02 smoked during pregnancy [4]. Nationally, during
this time period, 12% of pregnant women smoked [5]. The
Southeastern states, including North Carolina, have among
the highest rates of smoking during pregnancy [6]. In
addition, North Carolina has one of the highest infant
mortality rates in the United States, which is partially
attributable to prenatal smoking and its relationship to low
birthweight and preterm births. Thus, the prevention or
cessation of prenatal smoking is an important public health
issue.
In our prior work, we demonstrated that elevated levels
of maternal depressive symptoms were significantly asso-
ciated with prenatal smoking among pregnant Black
women [4]. (In logistic regression analysis in the prior
S. T. Orr (&)
Department of Health Education and Promotion (ret.),
College of Health and Human Performance,
East Carolina University, 410 Kempton Drive,
Greenville, NC 27834, USA
e-mail: [email protected]
D. G. Blazer
Department of Psychiatry and Behavioral Sciences,
Duke University Medical Center, Durham, NC, USA
C. A. Orr
Department of Psychology, Loyola University,
Baltimore, MD, USA
123
Matern Child Health J (2012) 16:973–978
DOI 10.1007/s10995-011-0822-9
study, the following variables were associated with pre-
natal smoking among Black women: elevated depressive
symptoms; being single; belief that smoking will harm
their baby or themselves; living with other smokers in the
home; and allowing smoking in the home [4]).
In the current study, we sought to identify those factors
associated with increased risk of smoking which were also
associated with elevated maternal depressive symptoms.
Such factors include home environmental factors (e.g.,
allowing smoking in the home); attitudes, beliefs and
knowledge about smoking (e.g., knowledge that smoking
could harm their unborn baby); and nicotine addiction
(e.g., number of cigarettes smoked per day). These are the
major factors associated with prenatal smoking [5, 6].
We assessed the relationships between maternal prenatal
depressive symptoms with measures of each of these
factors. Identifying the associations between maternal
depressive symptoms and factors associated with prenatal
smoking might help providers of prenatal care to focus
their educational efforts on the appropriate factors.
Other research has similarly demonstrated associations
between depressive symptoms and smoking, but most prior
research has either not focused upon prenatal smoking [7],
or has focused on White samples [8]. None of the prior
research of which we are aware has explored factors
associated with smoking and depressive symptoms among
Black women. Since Black women have such high rates of
poor pregnancy outcomes, it is especially important to
study smoking among this largely understudied group.
Pregnant Black women are also more likely to be depressed
than their White counterparts [9], so focusing attention on
depression among Black women is significant. Finally,
even though Black pregnant women are less likely to
smoke than pregnant White women, they are more likely to
smoke cigarettes with greater nicotine content, which
increases the danger to the fetus and the risk of addiction
[10–13].
Methods
Pregnant women were enrolled in the study at the time of
their first prenatal visit to the prenatal clinics of the
Departments of Obstetrics and Gynecology and Family
Medicine of the Brody School of Medicine, East Carolina
University, in Greenville, North Carolina. The study was
approved by the Institutional Review Board of East Caro-
lina University. All patients ages 16 years and older were
eligible for participation in the study. Each woman who
presented for her first prenatal visit and was 16 years or
older was approached by a trained research assistant and
invited to participate in the study. Written informed
consent was obtained from the women at this time. Refusal
rates were very low (\5%).
The research assistant administered a face-to-face
interview to all participants while they waited to be seen by
the physician. Interviews took place in a private room, and
anyone accompanying the women were not included in the
interviewing process. Interviews were conducted from
March 2001 until November 2002. The analyses reported
in this paper are focused upon the women who self-iden-
tified their race as Black or African-American (70% of the
total sample).
The study interview included items to assess smoking-
related behaviors, knowledge, attitudes, beliefs and nico-
tine addiction. Most of these items were developed by the
Robert Wood Johnson Foundation’s Smoke-Free Families
program. When this program was initiated, a working
group of experts conducted an exhaustive literature review
and developed the most useful measures for smoking-
related behaviors, knowledge, beliefs, attitudes and nico-
tine addiction [14].
One item was used to assess smoking status. This item
asked women, ‘‘Which statement best describes you
now?’’ There were six response categories which allowed
the women to classify themselves as lifetime nonsmokers;
current smokers who smoked the same (I smoke regularly
now, about the same as before I found out I was preg-
nant.); more (I smoke regularly now, but more than
before I found out I was pregnant); or less than prior to
pregnancy (I smoke some now, but I cut down on the
number of cigarettes I smoke since I found out I was
pregnant); or as having quit smoking prior to (I stopped
smoking before I found out I was pregnant and I am not
smoking now) or after learning of the pregnancy (I
stopped smoking after I found out I was pregnant and I
am not smoking now). Melvin et al. have found that
offering women several response options provides more
valid information about smoking in lieu of a yes/no type
of question [14, 15].
For all women who reported that they had quit smoking,
biochemical confirmation was used to assess validity of
self-reports. Urinary cotinine was used for these assess-
ments. Cotinine is a stable metabolite of nicotine, and
testing for cotinine is a well-accepted standard for vali-
dating reports of smoking cessation [16, 17]. Urinary
cotinine assessment was performed on all women who
reported to the interviewer that they had stopped smoking
within the past 12 months. Urine was obtained at the same
time as the interview and was frozen in tubes that were
labeled with the study ID number and shipped weekly to
J-2 Laboratories of Phoeniz, Arizona. The laboratory used
enzyme multiplied immunoassay technique (EMIT) using
an FDA approved reagent system purchased from Diag-
nostic Reagents, Inc. on an automated chemistry analyzer
974 Matern Child Health J (2012) 16:973–978
123
(Olympus AU 640). The lowest concentration that can be
detected using this technique is 50 ng/ml. The laboratory
was blinded to the smoking status of the women A cut-
point of 80 ng/ml of urinary cotinine was used to identify
levels sufficient to indicate current smoking. Women who
reported themselves to be quitters but who had cotinine
levels above this cut-point were reclassified as smokers
(N = 20 of 102 tested).
The interview also included items to assess beliefs,
knowledge and attitudes about smoking, including beliefs
about the potentially harmful effects of smoking upon their
own health or that of their unborn child; desire to quit
smoking; desire to keep smoking; and number of attempts
at smoking cessation during the pregnancy. Respondents
were also asked about nicotine addiction (age initiated
smoking, number of cigarettes smoked per day, and time
from awakening to the first cigarette) and home environ-
mental factors such as the number of smokers living in
their home and allowing smoking in the home.
Depressive symptoms were assessed using the twenty
item CES-D (Center for Epidemiologic Studies’ Depres-
sion Scale), which was developed by NIMH to allow the
assessment of depression in community-based samples
[18]. The CES-D contains items to assess the presence (in
the past week) of salient symptoms of depression such as
sadness, crying, hopelessness, loss of pleasure, and fatigue.
Scores can range from zero to sixty, with a customary cut-
point score of 16 or higher used to indicate ‘‘elevated’’
levels of depressive symptoms. However, Radloff and
Locke have suggested that a cut-point of 23 or higher
corresponds to major depressive disorder and we used this
cut-point [19] Our rationale included that some symptoms
of pregnancy overlap with symptoms of depression (e.g.,
fatigue, changes is sleep or appetite). However, women
would be very unlikely to score 23 or greater based solely
on symptoms of pregnancy.
The CES-D has been widely used in epidemiologic
studies, and its reliability and validity with diverse samples
are well established [18, 20–22]. CES-D scores correlate
well with clinical assessments, and CES-D scores decline
with treatment of depression [18].
Descriptive analyses were used to identify the smoking,
demographic, and other characteristics of the sample.
Bivariate analyses and the chi squared statistic were used to
evaluate the associations between smoking status (i.e.,
smoker, nonsmoker) with each variable, and CES-D score
with knowledge, beliefs, and attitudes about smoking,
nicotine addiction, and home environmental factors. We
performed all analyses using the cut-point of 23 on the
CES-D. We were unable to perform multivariable analysis
(e.g., logistic regression) because the number of smokers
was small and regression coefficients were unstable due to
lack of power.
Results
A total of 810 Black women comprised the sample for
analysis. Of these women (after inclusion of results of
cotinine analysis), 149 were classified as current smokers
(18.4%), 82 as former smokers (10.1%) and 579 as non-
smokers (71.5%). CES-D score, as shown in Table 1, was
strongly associated with smoking status, with 14.3% of
those women with low CES-D scores and 29.1% of women
with elevated CES-D scores classified as smokers
(P \ .001). In addition, women who did successfully quit
smoking with elevated CES-D scores were significantly
more likely (11.2%) than those with lower CES-D scores
(6.6%) to cease smoking after learning of the pregnancy
rather than prior to learning of the pregnancy. In our prior
work, we demonstrated that women who quit smoking after
learning of the pregnancy were more likely to relapse than
those who quit prior to pregnancy [4].
As shown in Table 1, the women who smoked were
somewhat different from the women who did not smoke.
Women who smoked were significantly more likely to have
lower levels of education, to be single, to have enrolled for
prenatal care in the second or third trimester, to allow
smoking in the home, to live with other smokers, and to
believe that smoking could not harm the baby or themselves
‘‘a lot.’’ Thus, smokers differed from nonsmokers in knowl-
edge, attitudinal and environmental factors about smoking.
About one-quarter of the women had CES-D scores
above the 23 cut-point which was used to indicate elevated
levels of depressive symptoms.
Table 2 shows data from the 149 smokers, comparing
those with elevated and lower levels of depressive symp-
toms. There are missing values for some of these items,
because women who were self-reported former smokers
(‘‘quitters’’) who later were shown, by cotinine testing, to
be current smokers, were not asked these questions. There
were significant differences in the two groups in the
number of cigarettes smoked per day prior to pregnancy,
with 25% of those with elevated CES-D scores smoking 10
or more cigarettes per day compared to 9.2% of those with
lower scores on the CES-D. Women with elevated CES-D
scores also smoked significantly more cigarettes per day
during pregnancy, with 23.3% reporting smoking 10 or
more cigarettes per day, compared to 8.6% of those with
lower CES-D scores.
Also, women with elevated CES-D scores were signifi-
cantly more likely to report not seriously thinking of
quitting smoking during the pregnancy compared to those
with lower scores (20.4 and 10.3%). Finally, women with
elevated CES-D scores were significantly more likely to
report that they would receive no support from family and
friends if they tried to quit smoking (20.8%) compared to
those with lower CES-D scores (7.2%).
Matern Child Health J (2012) 16:973–978 975
123
There were no significant differences by CES-D score in
the age women started smoking, home environmental
factors, or knowledge about the potential harm of smoking
to themselves or their baby (data not shown).
Discussion
Perhaps the most striking finding from our study is the
association between elevated prenatal depressive
symptoms and nicotine addiction. Women with elevated
CES-D scores smoked more than women with lower scores
both before and during pregnancy. Others have similarly
found, in non-pregnant samples, associations between
depression and nicotine addiction [23]. This would suggest
that women with elevated depressive symptoms may be a
particularly difficult group in which to achieve prenatal
smoking cessation, since they are more addicted to nicotine
and smoke more cigarettes. Special and intensive efforts
may be needed to achieve cessation among this group.
Table 1 Characteristics of the
sample, by smoking status
(N = 810)
* P B .05; ** P B .01;
*** P B .001
Variables Smoking status
Smokers Nonsmokers
(N = 149) (N = 661)
N (%) N (%)
Age
\20 30 (20.1) 149 (22.6)
C20 119 (79.9) 511 (77.4)
Education***
\h.s. grad 70 (47.0) 188 (28.4)
h.s. grad 59 (39.6) 271 (41.0)
[h.s. grad 20 (13.4) 202 (30.6)
Marital status**
Married, living with 36 (24.2) 240 (36.3)
Single 113 (75.8) 421 (63.7)
Trimester enrolled for care*
First 67 (45.3) 350 (53.4)
Second, third 81 (54.7) 306 (46.6)
Allowed to smoke in home***
No 43 (28.9) 444 (67.4)
Yes 106 (71.1) 215 (32.6)
Number of smokers in home (Excluding Self)**
None 90 (60.4) 466 (71.8)
1 or more 59 (39.6) 183 (28.2)
Smoking can harm self**
A lot 123 (83.7) 589 (90.6)
Else 24 (16.3) 61 (9.4)
Smoking can harm baby**
A lot 125 (85.6) 600 (92.6)
Else 21 (14.4) 48 (7.4)
Smoked in past 7 days***
No 32 (21.5) 653 (99.1)
Yes 117 (78.5) 6 (.9)
Smoked in past 30 days***
No 27 (18.1) 639 (97.0)
Yes 122 (81.9) 20 (3.0)
CES-D score***
0–22 84 (56.4) 503 (76.1)
C23 65 (43.6) 158 (23.9)
976 Matern Child Health J (2012) 16:973–978
123
It is also of interest that women with higher levels of
depressive symptoms are less likely to express serious
interest in quitting compared to those with lower levels of
CES-D scores. This may also function to make them a
difficult group with which to achieve smoking cessation,
and is likely related to their high levels of nicotine addic-
tion. Similarly, the high percentage of women (21%) with
elevated CES-D scores who perceive that they would
receive no support from friends and family if they decided
to quit smoking suggests that achieving smoking cessation
with this group may be very difficult.
One limitation of our study is the missing information
about smoking-related knowledge, beliefs, and behaviors
from women who self-reported themselves to be quitters
but who were later shown to be smokers through cotinine
testing. Also, we did not test women who claimed to be
lifetime nonsmokers to determine their cotinine levels, due
to financial constraints of testing hundreds of women.
However, this does not allow us to know what percentage
of women who self-reported themselves to be lifelong
nonsmokers were actually smokers.
Another limitation is that our sample may not be rep-
resentative of all pregnant Black women. It would be
helpful to replicate our work in other settings. However,
the sample is large and is very representative of pregnant,
Black clinic-attenders in southern communities. Very few
women in Greenville who are Medicaid recipients attend
other clinics. We also had a very low refusal rate.
A strength of our study is that we had biochemical
confirmation of smoking status for women who claimed to
have quit smoking. This allowed us to reclassify almost
20% of self-reported former smokers as current smokers.
One limitation of this process is that we had no information
about use of nicotine patches or gum, so there may have
been women who were not smoking who were falsely
classified as smokers due to their use of these substances.
Black pregnant women who smoke and have elevated
depressive symptoms clearly are an important group for
health education programs for smoking cessation. Despite
the potential difficulties associated with intervening with
women with high levels of depressive symptoms and nic-
otine addiction, it is important to develop appropriate and
effective programs as a method to reduce the high rates of
low birthweight, preterm birth, and infant mortality among
Blacks. In addition, such programs may help to protect
infants from harmful effects of second-hand smoke in
the postpartum period. It is important to intervene with
smoking cessation programs as early in pregnancy as
possible to reduce harm to the fetus. While treatment of
depression is important, waiting for depression to respond
Table 2 Selected bivariate
relationships between CES-D
score and smoking variables
among smokers
* .05 \ P \ .10; ** P \ .05;
*** P \ .01; **** P \ .001
Variables CES-D score
0–22 C23
N (%) N (%)
Age initiated smoking
B19 64 (83.1) 41 (73.2)
C20 13 (16.9) 15 (26.8)
Number of cigarettes smoked before pregnancy**
\1 pack/day 47 (61.8) 26 (50.0)
1 pack/day 22 (28.9) 13 (25.0)
[1 pack/day 7 (9.2) 13 (25.0)
Number of cigarettes smoked in the past week**
None 24 (25.8) 10 (16.7)
\10 61 (65.6) 36 (60.0)
C10 8 (8.6) 14 (23.3)
Seriously thinking of quitting smoking?*
No 7 (10.3) 10 (20.4)
Yes 61 (89.7) 39 (79.6)
If you decided to quit smoking, how much support
would you get from family and friends?*
None 5 (7.2) 10 (20.8)
Not much 4 (5.8) 3 (6.3)
Some 10 (14.5) 10 (10.8)
A lot 50 (72.5) 25 (52.1)
Matern Child Health J (2012) 16:973–978 977
123
to treatment may delay smoking cessation, so the most
effective approach may be to combine smoking cessation
with treatment of depression.
One might speculate that depression influences behav-
ior, motivation, attitudes and perceptions about smoking. If
this is so, then interventions to reduce depression among
women of childbearing ages might help to reduce smoking
among pregnant women. Such interventions could include
the provision of social support [24], or preconception care
of mental disorders [25]. This would have the potential to
affect both smoking behavior and other risks for women
with depression and their infants. Calls for preconception
health care should include preconception mental health
care and smoking cessation.
Acknowledgments This research was partially supported by Grant
No. 040679 from the Robert Wood Johnson Foundation.
References
1. Behrman, R. E., & Butler, A. S. (Eds.). (2006). Preterm birth:Causes, consequences and prevention. Washington D.C.:
National Academy Press.
2. Martin, J. A, Hamilton, B. E., Sutton, P. D., Ventura, S. J.,
Menacker, F., & Kirmeyer, S. et al. (2007). Births: Final data for
2005. National Vital Statistics Reports, Vol. 56 no. 6. Hyattsville,
MD: National Center for Health Statistics.
3. Savitz, D. A., & Pastore, L. M. (1999). Causes of prematurity. In
M. C. McCormack & J. E. Siegel (Eds.), Prenatal care: Effec-tiveness and implementation (pp. 63–104). Cambridge: Cam-
bridge University Press.
4. Orr, S. T., Newton, E., Tarwater, P. M., & Weismiller, D. (2005).
Factors associated with prenatal smoking among black women in
Eastern North Carolina. Maternal and Child Health Journal, 9,
245–252.
5. CDC. (2004). Smoking during pregnancy—United States,
1990–2002. Morbidity and Mortality Weekly Report, 53,911–914.
6. Cnattingius, S. (2004). The epidemiology of smoking during
pregnancy: Smoking prevalence, maternal characteristics, and
pregnancy outcomes. Nicotine and Tobacco Research, 6, S125–
S140.
7. Ockene, J. K., Emmons, K. M., Mermelstein, R. J., Perkins,
K. A., Bonollo, D., Voorheed, C. C., et al. (2000). Relapse and
maintenance issues for smoking cessation. Health Psychology,19, 17–31.
8. Zhu, S. H., & Valbo, A. (2002). Depression and smoking during
pregnancy. Addictive Behaviors, 27, 649–658.
9. Orr, S. T., Blazer, D. G., & James, S. A. (2006). Racial disparities
in elevated prenatal depressive symptoms among black and white
women in Eastern North Carolina. Annals of Epidemiology, 16,
463–468.
10. English, P. B., Eskenazi, B., & Christenson, R. E. (1994). Black–
White differences in serum cotinine levels among pregnant
women and subsequent effects on infant birthweight. AmericanJournal of Public Health, 84, 1439–1443.
11. Hebert, J. R., & Kabat, G. C. (1989). Menthol cigarette smoking
and oesophageal cancer. International Journal of Epidemiology,18, 37–44.
12. Sidney, S., Tekawa, I., & Friedman, G. D. (1989). Mentholated
cigarette use among multiphasic examinees 1979–86. AmericanJournal of Public Health, 79, 1415–1416.
13. Cummings, K. M., Giovino, G., & Mendicino, A. J. (1987).
Cigarette advertising and racial differences in cigarette brand
preference. Public Health Reports, 102, 698–701.
14. Melvin, C., Tucker, P., and the Smoke-Free Families Common
Evaluation Measures for Pregnancy and Smoking Cessation
Projects Working Group. (2000). Measurement and definition for
smoking cessation intervention research: The smoke-free families
experience. Tobacco Control, 9, iii87–iii90.
15. Melvin, C. L., & Gaffney, C. A. (2004). Treating nicotine use and
dependence of pregnant and parenting smokers: An update.
Nicotine and Tobacco Research, 6, S107–S124.
16. Klebanoff, M. A., Levine, R. J., Clemens, J. D., DerSimonian, R.,
& Wilkins, D. G. (1998). Serum cotinine concentration and self-
reported smoking during pregnancy. American Journal of Epi-demiology, 148, 259–262.
17. Klebanoff, M. A., Levine, R. J., Morris, C. D., Hauth, J. C., Sibai,
B. M., Ben, C., et al. (2001). Accuracy of self-reported cigarette
smoking among pregnant women in the 1990s. Paediatric andPerinatal Epidemiology, 15, 140–143.
18. Radloff, L. S. (1977). The CES-D scale; a self-report depression
scale for research in the general population. Applied Psycholog-ical Measurement, 1, 385–401.
19. Radloff, L. S., & Locke, B. (1986). The community mental health
assessment survey and CES-D scale. In M. M. Weissman &
J. K. Myers (Eds.), Community surveys of psychiatric disorders(pp. 177–187). New Brunswick, NJ: Rutgers University Press.
20. Weissman, M. M., Sholomskas, D., Pottenger, M., Prusoff, B. A.,
& Locke, B. Z. (1997). Assessing depressive symptoms in five
psychiatric populations: A validation study. American Journal ofEpidemiology, 106, 203–214.
21. Husaini, B. A., Neff, J. A., Harrington, J. B., & Hughes, M. D.
(1980). Depression in rural communities: Validating the CES-D
scale. Journal of Community Psychology, 8, 20–27.
22. Markush, R. E., & Favero, R. V. (1974). Epidemiologic assess-
ment of stressful life events, depressed mood, and psychophysi-
ological symptoms—a preliminary report. In B. S. Dohrenwend
& B. P. Dohrenwend (Eds.), Stressful life events: Their natureand effects (pp. 171–190). New York, NY: Wiley.
23. Breslau, N., Peterson, E. L., Schultz, L. R., Chilcoat, H. D., &
Andreski, P. (1998). Major depression and stages of smoking.
Archives of General Psychiatry, 55, 161–166.
24. Berkman, L. F. (1995). The role of social relations in health
promotion. Psychosomatic Medicine, 57, 245–254.
25. Fiore, E. (2002). March of dimes updates: Is early prenatal care
too late? Contemporary Ob/Gyn, 12, 54–72.
978 Matern Child Health J (2012) 16:973–978
123