Journal of Child and Family Studies

, Volume 22, Issue 7, pp 1013–1021

SHS-Related Pediatric Sick Visits are Linked to Maternal Depressive Symptoms Among Low-Income African American Smokers: Opportunity for Intervention in Pediatrics

Authors

    • Department of Public Health, Health Behavior Research ClinicTemple University
  • Uma S. Nair
    • Department of Public Health, Health Behavior Research ClinicTemple University
  • Michelle Shwarz
    • Department of Public Health, Health Behavior Research ClinicTemple University
  • Karen Jaffe
    • Department of Public Health, Health Behavior Research ClinicTemple University
  • Jonathan Winickoff
    • Department of PediatricsHarvard Medical School
Original Paper

DOI: 10.1007/s10826-012-9663-4

Cite this article as:
Collins, B.N., Nair, U.S., Shwarz, M. et al. J Child Fam Stud (2013) 22: 1013. doi:10.1007/s10826-012-9663-4

Abstract

Maternal smoking and depressive symptoms are independently linked to poor child health outcomes. However, little is known about factors that may predict maternal depressive symptoms among low-income, African American maternal smokers—an understudied population with children known to have increased morbidity and mortality risks. The objective of this study was to test the hypothesis that secondhand smoke exposure (SHSe)-related pediatric sick visits are associated with significant maternal depressive symptoms among low-income, African American maternal smokers in the context of other depression-related factors. Prior to randomization in a behavioral counseling trial to reduce child SHSe, 307 maternal smokers in Philadelphia completed the Center for Epidemiologic Studies Depression (CES-D) and questionnaires measuring stressful events, nicotine dependence, social support, child health and demographics. CES-D was dichotomized at the clinical cutoff to differentiate mothers with significant versus low depressive symptoms. Results from direct entry logistic regression demonstrated that maternal smokers reporting more than one SHSe-related sick visit (OR 1.38, p < .001), greater perceived life stress (OR 1.05, p < .001) and less social support (OR 0.82, p < .001) within the last 3 months were more likely to report significant depressive symptoms than mothers with fewer clinic visits, less stress, and greater social support. These results suggest opportunities for future hypothesis-driven evaluation, and exploration of intervention strategies in pediatric primary care. Maternal depression, smoking and child illness may present as a reciprocally-determined phenomenon that points to the potential utility of treating one chronic maternal condition to facilitate change in the other chronic condition, regardless of which primary presenting problem is addressed. Future longitudinal research could attempt to confirm this hypothesis.

Keywords

Maternal depressionDepressive symptomsSmokingChild healthLow-incomeAfrican American minority population

Introduction

“Maternal depression” refers to a variety of depressive symptoms that can affect women during child-rearing years (Wisner et al. 2002). More than 19 million adults in the US suffer from depression, which has become a leading cause of disability and is attributed to approximately two-thirds of suicides each year (USDHHS 2011). Up to 12 % of women experience postpartum depression (although twice that many may experience significant depressive symptoms,) and depression risk increases dramatically among women with young children and more than one child (Coiro 2001; McLennan and Offord 2002). African Americans have nearly double the rate of depression than Caucasians (Pratt and Brody 2008), and women who are poor, on welfare, less educated, and unemployed are more likely to experience depression than other socio-economic groups (Pratt and Brody 2008; USDHHS 2011). Moreover, many African American and underserved women who suffer from significant depressive symptoms either remain undiagnosed or untreated; therefore, improving assessment and treatment of maternal depression in this population remains a public health priority (USDHHS 2011).

Nicotine dependence and significant depressive symptoms often co-occur. Additionally, the association appears to be bi-directional (Chaiton et al. 2009; Kendler et al. 1993; Paperwalla et al. 2004). Recent studies observed over 40 % prevalence of smoking among African Americans who reported significant depressive symptoms (Berg et al. 2012); and over 75 % prevalence of depressive symptoms among female smokers, including a disproportionately higher proportion of African American women with depressive symptoms compared to other racial groups of smokers (Jessup et al. 2012). Consequently, the direction of a potential causal link is still debated, with some researchers postulating that smokers use nicotine to help relieve depressive symptoms (Glassman et al. 1990), while others suggest that smoking influences physiological changes that result in depressive symptoms (Paperwalla et al. 2004). Others argue that the expression of both nicotine dependence and significant depressive symptoms result from shared genetic and environmental risk factors (Kendler et al. 1993). Regardless of the potential causal directionality of the smoking-depressive symptom association, smokers with depression smoke more heavily than those without depression (Pratt and Brody 2010), and greater depressive symptoms are associated with greater challenges in quitting smoking for women across the life span (Husky et al. 2008), particularly during pregnancy and postpartum. For example, only about 30 % of female smokers quit during pregnancy (Tong et al. 2009), and as many as 75 % of smokers who quit during their pregnancy relapse to smoking during the postpartum period (Kahn et al. 2002).

Psychosocial factors that relate to maternal depressive symptoms and nicotine dependence overlap with characteristics observed across underserved populations in general: poverty, racial minority status, low education, unemployment, neighborhood disorder, neighborhood-level economic disadvantage, and substance use (O’Hara 2009). Interactions among these factors create additive risk for maternal depression (Cutrona et al. 2005). Similar to other racial groups, many African Americans smoke to cope with depressive symptoms (Pederson et al. 2000); but compared to Caucasian American maternal smokers, underserved African American mothers have particular difficulty quitting smoking and are more likely to relapse to smoking (Severson et al. 1995). Recent data from the Centers for Disease Control suggest that African American smoking rates (21.3 %) have risen to comparable levels as Caucasian Americans (22 %), with higher rates among underserved populations such as individuals with low education, or living in poverty or deprived neighborhoods (CDC 2008). Additionally, urban-dwelling and low-income African American children suffer the highest rates and levels of SHSe (Carmichael and Ahluwalia 2000), and bear greater SHSe-related morbidity and mortality burden than other populations (Ahluwalia et al. 2002a). Thus, low-income African American women are not only more likely to be depressed (Pratt and Brody 2008; USDHHS 2011), but they also are more likely to smoke and have children with greater levels of SHSe and SHSe-related illness than the general population of women.

A primary concern regarding maternal nicotine dependence and depressive symptoms is that both syndromes independently and adversely affect child health (O’Hara 2009). Maternal smoking is considered the primary source of children’s secondhand smoke exposure (SHSe), which has unequivocally been linked to Sudden Infant Death Syndrome, middle-ear infections, lower respiratory infections, asthma onset and severity, dental caries, as well as increased risk for numerous cancers, cardiovascular diseases, and behavioral disorders (Best 2009; Haberg et al. 2010; Herrmann et al. 2008; Kum-Nji et al. 2006; Moon et al. 2002; Richardson et al. 2009; Tanaka et al. 2009; Twardella et al. 2010). Moreover, longitudinal research indicates that the effects of childhood SHSe are not limited to health consequences experienced during childhood. For example, childhood SHSe has been related to adult emphysema, even among children who remain nonsmokers through adolescence and adulthood (Lovasi et al. 2010). Maternal depressive symptom effects on child health are equally weighty. For example, significant maternal depressive symptoms are linked to childhood asthma (Lim et al. 2008), child cognitive and language development, emotional problems, and behavioral disorders; (Cox et al. 1987; Sohr-Preston and Scaramella 2006), as well as non-compliance with children’s medication administration (Leiferman 2002), and poor health outcomes associated with asthma and respiratory allergies (Turney 2011). Additionally, children of mothers expressing depressive symptoms are less likely to receive preventive medical and dental care (Turney 2011).

As comorbid conditions, maternal smoking and depressive symptoms are likely to compound child health risks compared to either presentation alone. Moreover, reciprocal associations between maternal depressive symptoms, smoking, and child health may exist. For example, child health problems may increase and exacerbate maternal depressive symptoms (Shalowitz et al. 2006) a context that is likely to influence maternal smoking to manage depressive symptoms and ongoing childhood health problems. Such a cycle underscores a key obstacle to smoking behavior change.

Given that pediatric providers have more frequent contact with depressed women and smokers of childbearing age compared to other health professionals (Horwitz et al. 2006), there is incredible opportunity for pediatric providers to improve maternal and child health when they identify SHS-exposed children. Pediatric providers acknowledge their responsibility to protect and improve child health by addressing maternal depression and smoking (Pascoe and Stolfi 2004), and the American Academy of Pediatrics endorses and encourages providers to ask, advise, and refer parents to behavioral health services if parents smoke or present with psychosocial problems that compromise the care of their children. Therefore, improving our understanding of factors that may influence significant depressive symptoms among maternal smokers should improve providers’ ability to assess and advise mothers in a population whose children would benefit most from maternal smoking intervention.

Despite knowledge of factors that differentiate depressed mothers from the general population, little is known about variability in depression risk within underserved populations of smokers, such as low income, urban-dwelling African American mothers. Examining factors that predict significant depressive symptoms in this group is warranted as it would help identify children and families that bear exceptional maternal and child health risks. The purpose of this study was to examine associations among factors hypothesized to increase likelihood of significant maternal depressive symptoms in a sample of underserved, maternal African American smokers. We hypothesized that increased pediatric primary care clinic sick visits, life events stress, and nicotine dependence would predict depression when controlling for other factors known to relate to maternal depression in the general population (e.g., social support, employment status).

Methods

Participants

This study examined 307 African American maternal smokers’ responses to interview assessments administered pre-randomization as part of a larger randomized behavioral counseling trial (Philadelphia FRESH—Family Rules for Establishing Smoke-free Homes) aimed at reducing young children’s SHSe. Participants were recruited from low-income urban neighborhoods in North and West Philadelphia, Pennsylvania, either directly from Women Infant and Care (WIC) and pediatric primary care clinic waiting rooms, or through advertisements in newspapers and on mass transit vehicles serving these underserved communities. We targeted these communities due to estimated smoking prevalence rates among adults (28.9–31.2 % of adults smoke)—rates that exceed the national average (PDPH 2009).

Participants who were interested in enrolling in an intervention designed to educate them about ways to reduce their child’s SHSe were screened for eligibility into the larger trial prior to baseline interviews and were eligible if they were at least 18 years old, smoked at least five cigarettes per day, and exposed their child (<4 years old) to at least two cigarettes. Exclusion criteria included current diagnosis or treatment of mood, psychotic, or substance abuse disorder and current pregnancy. 387 African American maternal smokers were eligible for the trial. Consent to participate in the trial was obtained prior to baseline interview data collection following HIPAA regulations and procedures approved by the Institutional Review Board. In addition to the 307 smokers completing baseline assessments, 80 were eligible but did not complete the baseline. (Participants were not retained in the study if repeated attempts to schedule and complete the baseline interview were unsuccessful for 4 weeks after screening.) After completing all baseline assessments, participants were randomized into the trial.

Measures

All measures in this study were collected via structured telephone screening and in-person assessment interviews prior to randomization to treatment in the parent trial. Screening questions focused on eligibility criteria and socio-demographic characteristics. In-person interviews obtained detailed information about maternal smoking history and current patterns, child SHSe, child health, and the measures described below. These interviews were conducted either in participant homes or in research offices of the Health Behavior Research Clinic by trained graduate students and professional staff. In addition to standardized scales used to test primary trial aims, content valid interview items were constructed by a panel of smoking intervention and public health experts below the 7th grade Flesch-Kinkaid reading level, then tested for content validity via interview to a pilot sample of postpartum smokers. Items with common smoking assessment terminology included oral operational definitions with opportunities for interviewer clarification if queried or suspecting item misinterpretation. Ongoing quality assurance procedures focusing on data collection and entry protocols followed by licensed social worker and Ph.D. student interview staff included (a) audio-taped quality assurance assessment by the principal investigator to ensure data collection integrity, (b) ongoing assessment of participant comprehension of items, (c) double data entry of participant responses to ensure accurate response coding. For this study’s analyses, measures were used as continuous variables unless indicated in the sections below and in tables.

Outcome Variable (Depressive Symptoms)

Participants reported depressive symptoms using the Center for Epidemiologic Studies Depression Scale (CES-D), which is a 20-item self-report instrument with adequate test–retest reliability (r = 0.57). It correlates with clinical measures of depression severity, with a score of 16 or greater indicating likelihood of depressive disorder (Radloff 1977). The CES-D has been used in a variety of studies comparing ethnic differences in depressive symptom presentation and is a reliable measure among African Americans (Roberts 1980). Participant CES-D scores were dichotomized such that 0–15 were re-coded as 0 (low depressive symptoms) and >15 were re-coded as 1 (significant depressive symptoms).

Covariates

Pediatric clinic sick visits The number of pediatric sick visits within the 3 months prior to baseline was calculated as the total number of times the child was taken to a pediatrician for SHSe-related illnesses (e.g., cold, ear infections, bronchitis, asthma, etc.). We excluded well child visits and sick visits related to injury or elective outpatient procedures. Sick visits were dichotomized such that 0 or 1 visit was coded as 0, and more than 1 visit was coded as 1.

Nicotine Dependence Due to the associations between smoking and depressive symptoms in the general population of women, nicotine dependence level was measured using the Fagerstrom Test for Nicotine Dependence (FTND). This is a 6-item questionnaire and has adequate internal consistency (α = 0.64) and high test–retest reliability (r = 0.88). Continuous FTND scores were used in the analyses.

Life events stress Participants identified stressful life events experienced within the last 3 months along with their perceived level of stress to each identified event on a 4-point Likert scale (0 = did not occur/or not at all stressful to 3 = extremely stressful) on a survey containing 90 items across nine categories if events related to school, work, family and intimate relationships, child and care giving responsibilities, housing and living conditions, crime and legal matters, finances, social activities, and health. This instrument was constructed by a panel of five smoking intervention and public health experts and tested for content validity via structured interview to a pilot sample of low income maternal smokers in the target population. Internal consistency for the measure was good (α = 0.86). Participants’ mean stress rating across all 90 items was used in the analysis.

Social support The Interpersonal Support Evaluation List (ISEL) was used to measure social support (Cohen et al. 1985). Cohen and colleagues reported good overall test–retest reliability with reliability coefficients averaging around 0.87 and adequate concurrent and discriminant validities (r = 0.46 and r = −0.64). The overall score, which represents general social support, was used as a continuous measure in the analysis.

Number of illness symptoms present Total number of symptoms baby presented in the past 2 weeks was defined as a total of the maternal-reported signs of illness (e.g., runny nose, stuffy nose, rattling in the chest, fever, coughing, and/or wheezing).

Number of sick days Total number of sick days was the number of days the child was sick with each of the symptoms mentioned above during the past 2 weeks.

Child age was included as a proxy variable to identify postpartum mothers, thus accounting for maternal depressive symptoms attributable to the postpartum period in the analysis.

Maternal education was dummy coded as 0 = less than high school graduate and 1 = high school graduate or beyond high school education.

Marital status was coded as being 0 = single and 1 = married or living with a partner.

Employment status was coded as 0 = not employed and 1 = employed respectively.

Analysis

Prior to analyses, data were summarized, screened for errors, checked for outliers. We examined demographic factors for interrelations among covariates in order to reduce multi-colinearity. We used direct entry logistic regression to explore hypothesized predictors of maternal depressive symptoms. All analyses were conducted using SPSS v18 software.

Results

Sample Characteristics

Participants reported a mean CES-D score of 18.87 (SD = 10.40), with nearly 60 % of mothers scoring above the clinical cut-off for depression. Participants had a mean age of 29.8 years (SD = 7.89), and were moderate-to-heavy smokers: reporting an average of 11.74 (SD = 6.22) cigarettes smoked per day with a mean daily smoking history of 11.55 (SD = 7.44) years. Mothers were mostly single (81.8 %), unemployed (67.4 %), and had a SHS-exposed child averaging 18.9 (SD = 14.86) months old. Most participants (67.8 %) reported earning less than $15,000 annually and only 44 % achieved a high school degree or greater education. Our sample is comparable to the larger, general population living in low income communities in North and West Philadelphia, Pennsylvania targeted for recruitment into the parent trial. For example, Philadelphia has one of the highest poverty rates (25 %) among US cities, with 52.7 % of children raised by one parent (with the vast majority of these households being female run) (US Census Bureau 2010). Data from six health centers that serve these communities suggest that, in the general population, 31.5 % of families live below poverty level, 11.4 % have no insurance, 28.5 % of adults smoke, and 14.4 % of adults have current or prior mental health problems (PDPH 2009). Table 1 displays other relevant psychosocial and smoking variables used in analyses reported below.
Table 1

Sample characteristics (n = 307)

 

Distributional characteristics

Variable

Mean

SD

Baseline CES-D score

18.87

10.41

Baseline FTND score

4.66

1.79

Baseline ISEL score

36.75

6.49

Total months smoked daily lifetime

138.66

89.28

Average number of cigarettes per day

11.74

6.22

Total number of sick visits, last 3 months

1.07

1.76

Logistic Regression

Prior to conducting multivariate analyses, we tested bivariate correlations among the covariates to reduce potential multi-colinearity in the subsequent regression model. Income was dropped as a covariate due to its correlation with employment (r = 0.35, p < .01) and marriage (r = 0.20, p < .01). Total number of sick days was dropped as a covariate due to its relation to number of symptoms (r = 0.78, p < .01). Direct entry logistic regression analysis (1 = depression, 0 = no depression) resulted in a statistically significant model (p < .01) that accounted for an estimated 46 % of the variance in depressive symptoms. The model in Table 2 suggests that maternal smokers who reported more than one pediatric clinic sick visit, greater perceived life events stress, and less social support within the last 3 months were more likely to be depressed than mothers with fewer clinic visits, less stress, and greater social support.
Table 2

Logistic regression model predicting maternal smokers’ depressive symptoms (1 = significant depressive symptoms)

Predictor

Odds ratio

95 % CI

p

Lower

Upper

Pediatrician sick visits last 3 months

1.38

1.12

1.69

<.001

Life events stress

1.05

1.02

1.06

<.001

General social support

.82

0.77

.86

<.001

Total number of child symptoms

1.17

0.98

1.39

.07

Marital status

1.99

0.92

4.25

.08

Employment

0.59

0.31

1.10

.10

Child age

1.02

0.99

1.03

.15

Nicotine dependence

0.98

0.83

1.15

.84

Education

0.99

0.55

1.77

.98

Sick visits were coded as 1 = two or more visits; 0 = less than two visits

Discussion

To our knowledge, this is the first study to demonstrate factors associated with significant maternal depressive symptoms in a sample of low-income African American maternal smokers. Results supported the hypothesis, suggesting that more than one SHSe-related sick visit within the last 3 months predicts greater likelihood of significant depressive symptoms (CESD score −>15). Greater stress and less social support were other hypothesized factors that demonstrated significant associations with depressive symptom likelihood. Thus, SHSe-related pediatric sick visit utilization, maternal stress and social support may be important factors to consider in understanding the presentation of maternal depressive symptoms in underserved populations of smokers. Similar maternal depression–child health associations exist in broader populations. For example, the increased burden of attending medical visits, missing work because of such visits, transportation barriers, and childcare concerns may increase stress-related maternal depressive symptoms in the general population (Siefert et al. 2007). Moreover, the influence of health service utilization on depressive symptoms is likely to be specific to sick visits and poor child health, not frequent well-child visits (Mandl et al. 1999).

This sample demonstrated a high prevalence of significant depression symptoms. This evidence is consistent with previous research among similar populations known to have increased risk for depression compared to the wider US population (Husky et al. 2008; Pederson et al. 2000; Pratt and Brody 2008). For example, in a previous study of 1,602 single mothers with children between three and six and one-half years old, 49 % of the mothers had high levels of depressive symptoms as measured by the CES-D (Rosman and Yoshikawa 2001). Another study among single mothers suggests that greater stress and less social support account for much of the association between single status and maternal depression (Cairney et al. 2003)—factors that also show significant associations with depressive symptoms in our sample of smokers.

FTND scores were not associated with depressive symptoms in the model, as hypothesized. Given that the entire sample included smokers, perhaps the range of FTND scores was too restricted to demonstrate an association in the context of other variables that more clearly have strong associations with depressive symptoms.

Because maternal smokers expose their children to SHS, and greater exposure increases onset and severity of numerous acute illnesses requiring pediatric health services (Best 2009) that can subsequently affect maternal depressive symptoms, we support the proposition that a bidirectional, reciprocal child health–maternal depression association may exist among maternal smokers. This relationship can be observed when child health problems increase maternal depression risk and exacerbation of maternal depression symptoms (Shalowitz et al. 2006), and when maternal depression influences child health either directly or indirectly (via maternal smoking.)

Figure 1 is intended to illustrate the potential reciprocal association within which SHSe-related child illness symptom presentation and utilization of pediatric services increase maternal depressive symptoms which, in turn, contribute to maternal smoking to manage depressive symptoms, and ongoing child health problems. Stress and social support are included in the conceptual model based on our results. These results are consistent with other research examining the effects of social support on stress and depression (Kub et al. 2009; Logsdon et al. 2000). Moreover, the stress process is known to impact numerous determinants of health (Cohen 1988) such that environmental and psychosocial stressors influence physiological, psychological, and behavioral responses (Israel et al. 2002). Future longitudinal research could test our hypothesized cyclical model.
https://static-content.springer.com/image/art%3A10.1007%2Fs10826-012-9663-4/MediaObjects/10826_2012_9663_Fig1_HTML.gif
Fig. 1

Conceptual model of the reciprocal associations among maternal smoking, depression, and child health

Parents try to quit smoking more than other groups of smokers, but are less successful. In the context of factors measured in our study, stress may influence depressive symptoms among maternal smokers. Stress may also be a direct barrier to smoking cessation and improved child health. Conversely, social support may attenuate maternal depressive symptoms and facilitate behavior change that results in improved stress management, smoking cessation, and reduced child illness. Future research that enhances our understanding of this stress-depression-smoking association could provide important intervention information to pediatric providers.

Depressive symptoms are highly treatable once identified. However, there are many barriers to treatment within underserved and minority communities. For example, only 12 % of African American women suffering from depression symptoms seek support or depression treatment (NAMI 2009). Considering that nearly 60 % of mothers in our sample were identified reporting significant depressive symptoms despite our exclusion of women with diagnosed mood disorder, there may be an extremely high rate of undetected and untreated depression among low-income, minority smokers.

Implications

Our primary finding that more pediatric sick visits is predictive of significant depressive symptoms has the strongest implications for clinical intervention in pediatric treatment settings. Pediatric providers may be in an ideal position to identify symptoms of maternal depression, particularly among maternal smokers. If our results indeed reflect a chronic, multifactorial problem that presents in a cyclical pattern, any one condition or consequence is likely to exacerbate another. Such a predicament represents an opportunity during sick visits whereby addressing one disorder (maternal nicotine dependence or depression) can simultaneously influence the other.

Many participants in our study had either newborns or infants. The postpartum period is already recognized as a timeframe within which pediatric providers maintain vigilance for depressive presentation. However, infancy is also an ideal time for maternal smoking intervention. Pediatric providers should be aware that depressive symptoms have been implicated in lower abstinence and increased risk of smoking relapse (Allen et al. 2009; Park et al. 2009).

Regardless of child age, maternal smoking status could be considered a potential marker for maternal depression. Thus, the determination of positive maternal smoking status during application of standard practice guidelines could prompt depression assessment. Additional rationale for this approach is derived by evidence that pharmaceutical and behavioral interventions shown to be effective for managing depressive symptoms are also effective for smoking cessation. African American women, like women in other racial groups, respond favorably to interventions that include counseling plus antidepressants, such as bupropion (Ahluwalia e al. 2002a; b). This association may explain why women who quit smoking using antidepressants, such as bupropion, often increase their chances of cessation success (Collins et al. 2004; Lerman et al. 2004). In this context of maternal smoking with co-morbid depression, such evidence provides further reason for pediatricians to recommend pharmacotherapeutic approaches for maternal smoking cessation to protect their patients from SHSe.

This study does present some limitations to consider when interpreting results. Our study was cross-sectional and correlational, therefore limiting interpretation of causal influence of factors on maternal depression. Another limitation is the extension of findings to populations beyond low income African American maternal smokers. Nonetheless, our results provide important information for guiding future research and interventions that could improve patient care in underserved communities that present overlapping characteristics with this sample.

Conclusion

The results of this study point to the potential utility of conceptualizing comorbid maternal depressive symptoms and nicotine dependence as a reciprocally-determined, cyclical phenomenon. Such associations suggest that a provider could address either maternal smoking or depressive symptoms and affect change in both conditions simultaneously. With the high rates of depression co-morbidity among maternal smokers, and the likely associations between depression and child health, improving the quality of care to children exposed to SHS may not only enhance the health and quality of life of pediatric patients, but may also relieve depressive symptoms and facilitate cessation among maternal smokers. We recognize that challenges in pediatric systems can undermine pediatricians’ identification and management of maternal depression and smoking (Collins et al. 2007; Heneghan et al. 2007; Horwitz et al. 2007; Mueller and Collins 2008; Winickoff et al. 2008). Therefore, educating providers about factors that predict maternal depression among smokers, and improving referrals systems to facilitate maternal behavioral health care could improve patient care and substantially impact child health outcomes. In most populations and clinics, a standard care smoking cessation approach for parents will likely remain appropriate. However, in high risk populations such as the one in this study, a more intensive, multilevel approach may be necessary (Collins and Ibrahim 2012). These populations would benefit the most from multilevel interventions with increased intensity over standard in-clinic care because they experience greater economic deprivation, stress, and likelihood of psychiatric comorbidity with nicotine dependence (e.g., depression)—all factors that magnify the challenges inherent to smoking cessation. Future efforts in designing and implementing multilevel strategies could improve integration of services across health systems, such as pediatric primary care and specialized behavioral health services. Such integration could capitalize not only on the frequency of contact and credibility of advice from pediatrics, but also on the intensity of services and support specialized behavioral health practitioners can provide.

Acknowledgments

This study was funded by the National Institutes of Health, National Cancer Institute grants CA93756 and CA105183 to BN Collins.

Copyright information

© Springer Science+Business Media New York 2012