Skip to main content

Investigating associations between maternal stress, smoking and adverse birth outcomes: evidence from the All Our Families cohort

Abstract

Background

Independently, active maternal and environmental tobacco smoke exposure and maternal stress have been linked to an increased risk of preterm birth and low birth weight. An understudied relationship is the potential for interactive effects between these risk factors.

Methods

Data was obtained from the All Our Families cohort, a study of 3,388 pregnant women < 25 weeks gestation recruited from those receiving prenatal care in Calgary, Canada between May 2008 and December 2010. We investigated the joint effects of active maternal smoking, total smoke exposure (active maternal smoking plus environmental tobacco smoke) and prenatal stress (Perceived Stress Scale, Spielberger State-Trait Anxiety Inventory), measured at two time points (< 25 weeks and 34–36 weeks gestation), on preterm birth and low birth weight.

Results

A marginally significant association was observed with the interaction active maternal smoking and Spielberger State-Trait Anxiety Inventory scores in relation to low birth weight, after imputation (aOR = 1.02, 95%CI: 1.00-1.03, p = 0.06). No significant joint effects of maternal stress and either active maternal smoking or total smoke exposure with preterm birth were observed. Active maternal smoking, total smoke exposure, Perceived Stress Scores, and Spielberger State-Trait Anxiety Inventory scores were independently associated with preterm birth and/or low birth weight.

Conclusions

Findings indicate the role of independent effects of smoking and stress in terms of preterm birth and low birthweight. However, the etiology of preterm birth and low birth weight is complex and multifactorial. Further investigations of potential interactive effects may be useful in helping to identify women experiencing vulnerability and inform the development of targeted interventions.

Peer Review reports

Background

Preterm birth (< 37 weeks gestational age) and low birth weight (< 2500 g) are ongoing issues globally, with rates increasing in many countries, despite our advances in knowledge and interventions aimed at known risk factors [1, 2]. In Canada, Alberta’s provincial preterm birth (9.2% 2019/2020) [3] and low birth weight (7.5%, 2019/2020) [3] rates are among the highest in the country, though the reasons for this are not immediately clear. Both preterm birth and low birth weight have been associated with increased risk of cardiovascular disease and diabetes in adulthood [4, 5].

Preterm birth and low birth weight have multifactorial etiologies, likely affected by a combination of genetic, biological, behavioral, environmental, social, and other factors [6, 7]. Among these are exposure to prenatal stress and tobacco smoke. There is evidence to suggest a role of for maternal stress in terms of adverse birth outcomes [8,9,10]. For example, Shapiro et al. [11] observed mostly consistent associations between perceived stress, pregnancy-related anxiety, and increased the risk of preterm birth, a finding also echoed in other reviews [9, 10]. Similarly, the risks associated with tobacco smoke exposure (active maternal and environmental tobacco smoke) during pregnancy have been well documented [12,13,14,15]. Smoke exposure has been linked to both preterm birth and low birth weight [12, 16, 17].

There is evidence to indicate that these independent relationships may be modified by other factors [7, 18,19,20,21,22]. Specifically, stress and smoke exposure may interact through pathways such as decreased uterine-placental blood flow, vasoconstriction of placental vessels or changes in immunologic functioning [23,24,25] Active maternal smoking may also be related to maternal stress. Maternal psychological stress was observed to be higher among pregnant women who smoked in a prospective study in Brazil [20]. Smoking may be a coping mechanism for pregnant women experiencing prenatal anxiety [26, 27] Stress during pregnancy could also act as a smoking cessation barrier [28, 29]. Data from the United States showed that though up to 45% of women are prompted to quit smoking during pregnancy, about 10% continue to smoke [29]. However, to date, little has been explored regarding potential interactions between stress and smoke exposure and its impact in terms of preterm birth and low birth weight risk. Disparities exist in terms of the population distribution of adverse birth outcomes that might be more fully explained by joint effects [11, 30]. Stress may lead to an increase in maternal smoking. Alternatively, smoking may also lower women’s perceived stress levels. Clinically, findings related to interactive effects could be important for designing more effective interventions that include a combination of targeted approaches (e.g. smoking cessation plus stress-reduction). In this study, we aimed to investigate the joint effects of total smoke exposure (active maternal and environmental tobacco smoke) and maternal stress (perceived stress and anxiety) on the risk of preterm birth and low birth weight and potential relationships between active maternal smoking and maternal stress among pregnant women in the All Our Families cohort.

Methods

Study population

All our Families (AOF) is a prospective cohort study of pregnant women in Calgary, Canada set up to investigate determinants of maternal, infant and child wellbeing and health service utilization during and after pregnancy [31]. The study recruited 3,388 pregnant women < 25 weeks gestation undergoing prenatal care between May 2008 and December 2010 [31]. Women were asked to complete three mailed questionnaires - at recruitment (< 25 weeks gestation), 34–36 weeks gestation, and 4 months postpartum [31]. The study is also following up children at 1, 2, 3, 5, and 8 years postpartum [31]. Further detail about the recruitment and follow up is described elsewhere [31]. Data were collected on demographics, mental health, physical health, psychosocial factors, lifestyle, pregnancy history, health service utilization, parenting, pregnancy outcomes, and child development [31]. Ethics approval was obtained from Child Health Research Office and the Conjoint Health Research Ethics Board of the Faculties of Medicine, Nursing, and Kinesiology (University of Calgary) and the Affiliated Teaching Institutions [31].

This study examined two outcomes: preterm birth defined as < 37 weeks gestation and infant low birth weight defined as < 2,500 g among primiparous women. Exclusions included multiple births as this is an independent risk factor for poorer maternal mental health, preterm birth and low birth weight [32,33,34]. The primary exposures examined in this study included smoke exposure (active maternal, total smoke) and maternal stress. Active maternal smoking included those women who reported smoking during pregnancy (yes/no) in the survey. Total smoke exposure was defined as exposure to either active maternal or environmental (i.e., partner was reported as smoking in survey) tobacco smoke. Both active and environmental tobacco smoke exposure were assessed only at < 25 weeks gestation. Prenatal stress was measured at two time periods (< 25 weeks and 34–36 weeks gestation) using the Perceived Stress Scale (PSS) (possible range: 0 to 40) [35] and Spielberger State-Trait Anxiety Inventory (STAI) (possible range: 20 to 80) [36] tools. PSS and STAI scores were treated as continuous variables. Other potential confounders identified a priori from the literature and included in the models were: maternal age, derived from mother’s birthdate at the time the first maternal questionnaire was administered (< 25 weeks gestation); maternal highest level of education categorized into high school or less/some trade school, college, or university/graduated trade school, college, university/some graduate school, completed graduate school; household income grouped into <$40,000/$40,000 to <$60,000/$60,000 to <$80,000/$80,000 to <$100,000/≥$100,000; body mass index (BMI) categorized as underweight (< 18.5 kg/m2)/normal weight (18.5-<25.0 kg/m2)/overweight (25.0-<30.0 kg/m2)/obese (≥ 30.0 kg/m2); and parity (previous birth, no previous birth).

Statistical analyses

A Generalized Estimating Equation logistic regression approach was used to account for the two stress measures assessed at < 25 weeks and 34–36 weeks gestation. To explore the hypotheses that maternal stress (PSS scores, STAI scores) may trigger maternal smoking behavior, we also conducted multiple linear regression. Adjusted models also included the potential confounders described above. Recognizing that prior preterm birth is an important predictor of subsequent adverse birth outcomes, [8] we conducted sensitivity analyses including only women who had previously given birth (multiparous) to assess the robustness of the results. Both prior history of preterm birth and prior history of low birth weight were also included in multiple imputation models. An a priori sample size of 3,241 was estimated for a multiplicative interaction, based on findings from a prior study examining cumulative psychosocial stress and late (34–366/7 weeks) preterm birth (OR = 1.73, preterm birth rate = 7%, smoking during pregnancy = 15.2%, stress during pregnancy = 23.7%) using the same cohort data [37], the association of preterm birth with smoking during pregnancy (OR = 1.35) [38], and maternal smoking and serious psychological distress (OR = 2.37) [39].

We conducted full conditional specification multiple imputation, including auxiliary variables, for the outcomes preterm birth (10.8% missing), low birth weight (15.0% missing), total smoke exposure (11.7% missing), active total smoke exposure (13.1% missing), perceived stress scale scores for the first and second time point (2.1% and 14.1% missing, respectively), Spielberger State-Trait Anxiety Inventory scores for the first and second time point (4.4% and 8.3% missing, respectively), PSS-total smoke exposure interactions (15.5% missing), STAI-total smoke exposure interactions (15.2% missing) and parity (1.5% missing) [40]. Interactions were first calculated and then imputed to avoid biases [41]. We imputed 20 data sets. To assess potential departures from our missing at random assumption, we also performed sensitivity analyses. All analyses were performed using SAS 9.4.

Results

Descriptives

The All Our Families cohort included 3,387 women who completed at least one questionnaire [42]. The mean age of the women was 30.4 (95%CI: 30.3–30.6) years. The majority of women in the cohort reported their ethnicity as white/Caucasian (n = 2,408; 79%). The median gestational age was 39 weeks (IQR: 38–40) and the mean birthweight of infants was 3,366 g (95%CI: 3,346-3,386). There were 190 (6.9%) preterm births and 124 (4.7) low birth weight infants in the cohort. Slightly less than half (n = 1,431, 47.6%) of the infants were female.

Twenty-four percent of the women in the cohort were exposed to either active or environmental tobacco smoke during pregnancy (Table 1). Of these, 12% reported actively smoking during pregnancy and 39% reported smoking one or more cigarettes per day. Nearly 16% reported having a partner who smoked. Less than 1% reported smoking as permitted inside their homes. The median Perceived Stress Scale scores at < 25 (13, IQR: 9–18) and 34–36 (13, IQR: 8–17) weeks gestation were similar. Slightly higher Spielberger State Anxiety Inventory scores were recorded at 34–36 weeks gestation compared with < 25 weeks gestation.

Table 1 Maternal and infant characteristics of cohort participants

Multivariable analyses (no interactions)

Inconsistent results were observed for PSS and STAI scores. Both PSS and STAI scores, in adjusted models, were modestly associated with an increased odds of preterm birth (aOR = 1.03, 95%CI: 1.01–1.06; aOR = 1.03, 95%CI: 1.02–1.05, respectively). STAI but not PSS scores were associated with an increased odds of low birth weight.

Active maternal smoking was associated with a strongly increased odds of preterm birth, though low birth weight did not indicate evidence of an association. Total smoke exposure (active plus environmental tobacco smoke) was also found to be strongly associated with preterm birth but not low birth weight in models without interactions (Tables 2 and 3).

Table 2 Logistic regression analyses examining the association between preterm birth or low birth weight, active maternal smoking, total smoke exposure and Perceived Stress Scale scores (complete case and imputed, without interaction, including interaction)
Table 3 Logistic regression analyses examining the association between preterm birth or low birth weight, active maternal smoking, total smoke exposure and Spielberger State-Trait Anxiety Inventory (complete case and imputed, without interaction, including interaction)

Multivariable analyses (with interactions)

Interaction terms examining total smoke exposure (active maternal plus environmental tobacco smoke), PSS and STAI scores with preterm birth and low birth weight were nonsignificant (Tables 2 and 3). A nonsignificant interaction was also observed when just active maternal smoking and PSS scores were assessed in relation to preterm birth and low birth weight. Findings from the sensitivity analyses including only women who had previously given birth, adjusting for prior preterm birth, were consistent with these results. A marginal association with the interaction of active maternal smoking and STAI scores was observed with low birth weight, after imputation (aOR = 1.02, 95%CI: 1.00-1.03, p = 0.06).

Multiple linear regression

Active maternal smoking was associated with both PSS and STAI scores in this study. Active maternal smoking was positively associated with PSS scores (adjusted β: 1.10, 95% CI: 0.43–1.78, p-value: 0.001). Active maternal smoking was also observed to be positively associated with STAI scores (adjusted β: 2.27, 95% CI: 1.23–3.30, p-value: <0.001).

Discussion

In this study, there was no evidence of interactive effects between total smoke exposure and measures of perinatal stress in relation to preterm birth and low birth weight. With imputation, a marginal association between the interaction of active maternal smoking and STAI scores and low birth weight was observed. A positive association was also found between active maternal smoking and STAI scores. This may indicate that certain measures of perinatal stress are linked to the propensity to smoke during pregnancy.

Work is emerging regarding behavioral-psychosocial interactions such as smoking and stress or social support in pregnant women. Lobel et al. [27] found that pregnancy-related stress predicted cigarette smoking, a finding consistent with those in this study. Findings also showed both a direct and indirect (via smoking) relationship with low birth weight [27]. Eisenbruch et al. also observed that among women who experienced low social support, a greater proportion of women reported smoking compared to those receiving high social support (34% vs. 17%, respectively) [18]. Another study from Germany also observed that smokers with low social support were 3.3 times more likely to have a pregnancy complication compared to smokers with high social support [18]. A recent review also observed evidence from several studies that supported an association between perceived stress or number of identified stressors and smoking during pregnancy [43].

Stress during pregnancy may act as a smoking cessation barrier [28, 29]. Bullock et al. [44] investigated the differences between nonsmoking women, women who were successful in quitting smoking during pregnancy, and those who were unable to quit. Findings indicated that differences were observed between the groups in terms of psychosocial stressors, including financial worries, lack of support, and domestic violence [44]. Women who continued smoking during pregnancy were found to have higher levels of stress, lower levels of social support, and were more likely to experience domestic abuse [44]. Thus, the inability to quit smoking during pregnancy may be related to factors beyond just addiction and knowledge deficits [44].

Another hypothesis could be that smoking is a coping mechanism for pregnant women experiencing pregnancy-related anxiety. However, smoking may actually worsen negative emotional states such as stress [45,46,47,48]. The perceived relief experienced after smoking may be partially attributable to the alleviation of nicotine withdrawal symptoms rather than a reduction in stress levels [49, 50]. In a U.S.-based randomized trial evaluating different smoking cessation and postpartum relapse approaches, lower perceived stress levels were associated with smoking cessation in early pregnancy but not late pregnancy, [28] which could also have ramifications for the timing of interventions.

Prior studies have observed the modification of the stress-preterm birth/low birth weight relationship by other exposures. Nkansah-Amankra et al. [19] observed this relationship was modified by neighborhood context, with those living in deprived neighborhoods having increased risks of preterm birth and low birth weight. Social environments may affect the risk of preterm birth and low birth weight through stress-related pathways [51]. Similarly, stress and smoke exposure mechanisms may overlap through shared pathways, affecting the risk of adverse birth outcomes. Maternal stress, nicotine, and carbon monoxide in blood may affect fetal and placental development as well as decrease blood flow between the uterus and placenta [23, 52,53,54]. Both carbon monoxide and stress may also act as a vasoconstrictor of placental blood vessels [23, 52, 53]. Smoke and stress exposure may also affect immunologic functioning and inflammatory responses, leading to adverse birth outcomes [6, 25, 52, 55].

Study findings also suggest that stress, as assessed through Perceived Stress Scale and Spielberger State-Trait Anxiety Inventory scores, are independently associated with an increased odds of preterm birth and/or low birth weight. Both active maternal and total smoke exposure were also observed to be independently associated with preterm birth but not low birth weight in this study. Interactive effects between active maternal smoking, total smoke exposure (active maternal and environmental) and maternal stress were not observed, though active smoking and maternal stress were positively associated.

Our findings were also consistent with other studies that observed an independent positive association between higher maternal stress and preterm birth and low birth weight. Bussières et al. [10] observed in their meta-analysis of prospective studies that prenatal stress was modestly associated with decreased birth weight and shorter gestational age. Very preterm birth and extremely low birth weight exacerbate the risk of neurobehavioral other impairments in children [56, 57].

Data from the 2006 Canadian Maternal Experiences Survey show an estimated prevalence of 10.5% for smoking during pregnancy across Canada, with a reported prevalence of 11.8% in Alberta, [58] which is consistent with the prevalence of smoking in this study (11.6%). Several studies have shown both maternal and environmental tobacco total smoke exposure to be a risk factor for adverse birth outcomes [12,13,14,15,16,17, 59]. In this study, we found a significant association between both active maternal smoking, total smoke exposure and preterm birth but not low birth weight. In utero smoke exposure (active maternal, environmental tobacco smoke) has also been linked to an increased risk of early adult-onset diabetes and childhood overweight and obesity [60,61,62].

Limitations

There are several limitations of the study that must be kept in mind when interpreting these findings. One limitation was the lack of a more refined measure of smoking, which is a recommendation for future work in this area. Information about smoking was also only collected at baseline (< 25 weeks gestation) so smoking habits or exposures may have changed by the time of the second wave of data collection (34–36 weeks gestation). However, prior studies have shown that those who report smoking at the beginning of their pregnancy are likely to continue throughout, though fluctuations in smoking intensity were reported as occurring [63, 64]. Further, the cohort is predominantly white/Caucasian women, which may limit the generalization of these findings to other ethnic groups. Another limitation is the possibility of residual confounding. Sample size and missing data were also other limitations of this study. However, we used a robust method of imputation (with sensitivity analyses) to address this issue. A stress questionnaire specific to pregnant women was not used, though both the PSS and STAI have been used and validated in several other studies [65,66,67,68,69,70]. As the mechanisms by which stress and smoke exposure may lead to adverse birth outcomes is unknown, the examination of small-for-gestational age is also a potentially important outcome to assess [71, 72].

Conclusion

Statistically significant interactions between smoke exposure, stress, and anxiety were not observed in this study with preterm birth. A significant interaction between active maternal smoking and Spielberger State-Trait Anxiety in terms of low birth weight was observed only in imputed analyses. Nonetheless, the etiology of adverse birth outcomes points to the role of several factors [6, 7]. The combination of social and behavioral stressors may produce effects beyond either exposure in isolation [18, 19]. Explorations of interactions between environmental, behavioral, and psychosocial exposures can provide important insights into the complex etiology of preterm birth and low birth weight. Critically, in identifying women who experience multiple risk factors, we may also be able to more effectively design and target interventions.

Data Availability

Study data are available from All Our Families, but restrictions apply to the availability of these data, which were used with permission for the current study and so are not publicly available. Data may be available upon request and with permission from the All Our Families research team (sheila.mcdonald@albertahealthservices.ca).

References

  1. Blencowe H, Cousens S, Oestergaard MZ, Chou D, Moller AB, Narwal R, et al. National, regional, and worldwide estimates of preterm birth rates in the year 2010 with time trends since 1990 for selected countries: a systematic analysis and implications. Lancet. 2012;379(9832):2162–72.

    Article  PubMed  Google Scholar 

  2. WHO. Low Birthweight: Country, Regional and Global Estimates. Geneva; 2004.

  3. CIHI, QuickStats. Childbirth Indicators by Place of Residence Ottawa, Ontario: Canadian Institutes for Health Information; 2020 [Available from: https://apps.cihi.ca/mstrapp/asp/Main.aspx?Server=apmstrextprd_i&project=Quick20Stats&uid=pce_pub_en&pwd=&evt=2048001&visualizationMode=0&documentID=029DB170438205AEBCC75B8673CCE822.

  4. Harder T, Rodekamp E, Schellong K, Dudenhausen JW, Plagemann A. Birth weight and subsequent risk of type 2 diabetes: a meta-analysis. Am J Epidemiol. 2007;165(8):849–57.

    Article  PubMed  Google Scholar 

  5. Kaijser M, Bonamy AKE, Akre O, Cnattingius S, Granath F, Norman M, et al. Perinatal risk factors for ischemic heart disease - disentangling the roles of birth weight and preterm birth. Circulation. 2008;117(3):405–10.

    Article  PubMed  Google Scholar 

  6. Goldenberg RL, Culhane JF, Iams JD, Romero R. Preterm birth 1 - epidemiology and causes of preterm birth. Lancet. 2008;371(9606):75–84.

    Article  PubMed  PubMed Central  Google Scholar 

  7. de Bernabe JV, Soriano T, Albaladejo R, Juarranz M, Calle ME, Martinez D, et al. Risk factors for low birth weight: a review. Eur J Obstet Gyn R B. 2004;116(1):3–15.

    Article  Google Scholar 

  8. Goldenberg RL, Culhane JF, Iams JD, Romero R. Epidemiology and causes of preterm birth. Lancet. 2008;371(9606):75–84.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Staneva A, Bogossian F, Pritchard M, Wittkowski A. The effects of maternal depression, anxiety, and perceived stress during pregnancy on preterm birth: a systematic review. Women Birth. 2015;28(3):179–93.

    Article  PubMed  Google Scholar 

  10. Bussieres EL, Tarabulsy GM, Pearson J, Tessier R, Forest JC, Giguere Y. Maternal prenatal stress and infant birth weight and gestational age: a meta-analysis of prospective studies. Dev Rev. 2015;36:179–99.

    Article  Google Scholar 

  11. Shapiro GD, Fraser WD, Frasch MG, Seguin JR. Psychosocial stress in pregnancy and preterm birth: associations and mechanisms. J Perinat Med. 2013;41(6):631–45.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Been JV, Nurmatov UB, Cox B, Nawrot TS, van Schayck CP, Sheikh A. Effect of smoke-free legislation on perinatal and child health: a systematic review and meta-analysis. Lancet. 2014;383(9928):1549–60.

    Article  PubMed  Google Scholar 

  13. Leonardi-Bee J, Britton J, Venn A. Secondhand smoke and adverse fetal outcomes in nonsmoking pregnant women: a Meta-analysis. Pediatrics. 2011;127(4):734–41.

    Article  PubMed  Google Scholar 

  14. Pineles BL, Park E, Samet JM. Systematic review and Meta-analysis of miscarriage and maternal exposure to Tobacco smoke during pregnancy. Am J Epidemiol. 2014;179(7):807–23.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Ward C, Lewis S, Coleman T. Prevalence of maternal smoking and environmental tobacco smoke exposure during pregnancy and impact on birth weight: retrospective study using millennium cohort. BMC Public Health. 2007;7.

  16. Jaddoe VWV, Troe EJWM, Hofman A, Mackenbach JP, Moll HA, Steegers EAP, et al. Active and passive maternal smoking during pregnancy and the risks of low birthweight and preterm birth: the Generation R Study. Paediatr Perinat Ep. 2008;22(2):162–71.

    Article  Google Scholar 

  17. Ko TJ, Tsai LY, Chu LC, Yeh SJ, Leung C, Chen CY, et al. Parental smoking during pregnancy and its Association with Low Birth Weight, Small for Gestational Age, and Preterm Birth offspring: a birth cohort study. Pediatr Neonatol. 2014;55(1):20–7.

    Article  PubMed  Google Scholar 

  18. Elsenbruch S, Benson S, Rucke M, Rose M, Dudenhausen J, Pincus-Knackstedt MK, et al. Social support during pregnancy: effects on maternal depressive symptoms, smoking and pregnancy outcome. Hum Reprod. 2007;22(3):869–77.

    Article  CAS  PubMed  Google Scholar 

  19. Nkansah-Amankra S, Luchok KJ, Hussey JR, Watkins K, Liu XF. Effects of maternal stress on low Birth Weight and Preterm Birth Outcomes across neighborhoods of South Carolina, 2000–2003. Matern Child Hlth J. 2010;14(2):215–26.

    Article  Google Scholar 

  20. Rondo PHC, Ferreira RF, Nogueira F, Ribeiro MCN, Lobert H, Artes R. Maternal psychological stress and distress as predictors of low birth weight, prematurity and intrauterine growth retardation. Eur J Clin Nutr. 2003;57(2):266–72.

    Article  CAS  PubMed  Google Scholar 

  21. Cole-Lewis HJ, Kershaw TS, Earnshaw VA, Yonkers KA, Lin HQ, Ickovics JR. Pregnancy-specific stress, Preterm Birth, and gestational age among high-risk Young Women. Health Psychol. 2014;33(9):1033–45.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Lieberman EGI, Lang JM, Cohen AP. Low birthweight at term and the timing of fetal exposure to maternal smoking. Amiercan J Public Health. 1994;84(7):1127–31.

    Article  CAS  Google Scholar 

  23. Cui H, Gong TT, Liu CX, Wu QJ. Associations between Passive maternal smoking during pregnancy and Preterm Birth: evidence from a Meta-analysis of Observational Studies. PLoS ONE. 2016;11(1).

  24. Andriani H, Kuo HW. Adverse effects of parental smoking during pregnancy in urban and rural areas. Bmc Pregnancy Childb. 2014;14.

  25. Ding XX, Wu YL, Xu SJ, Zhu RP, Jia XM, Zhang SF, et al. Maternal anxiety during pregnancy and adverse birth outcomes: a systematic review and meta-analysis of prospective cohort studies. J Affect Disorders. 2014;159:103–10.

    Article  PubMed  Google Scholar 

  26. Azar R, Blacquiere M, Letourneau N, Belanger M, Sermer M. Are maternal prenatal smoking and perceived stress associated with umbilical cord C-reactive protein? A pilot study. Psychoneuroendocrino. 2015;61:33.

    Article  Google Scholar 

  27. Lobel M, Cannella DL, Graham JE, DeVincent C, Schneider J, Meyer BA. Pregnancy-specific stress, prenatal health behaviors, and birth outcomes. Health Psychol. 2008;27(5):604–15.

    Article  PubMed  Google Scholar 

  28. Ludman EJ, McBride CM, Nelson JC, Curry SJ, Grothaus LC, Lando HA, et al. Stress, depressive symptoms, and smoking cessation among pregnant women. Health Psychol. 2000;19(1):21–7.

    Article  CAS  PubMed  Google Scholar 

  29. Weaver K, Campbell R, Mermelstein R, Wakschlag L. Pregnancy smoking in context: the influence of multiple levels of stress. Nicotine Tob Res. 2008;10(6):1065–73.

    Article  PubMed  Google Scholar 

  30. Wadhwa PD, Entringer S, Buss C, Lu MC. The contribution of maternal stress to Preterm Birth: issues and considerations. Clin Perinatol. 2011;38(3):351–.

    Article  PubMed  PubMed Central  Google Scholar 

  31. McDonald SW, Lyon AW, Benzies KM, McNeil DA, Lye SJ, Dolan SM et al. The all our babies pregnancy cohort: design, methods, and participant characteristics. Bmc Pregnancy Childb. 2013;13.

  32. Blondel B, Kogan MD, Alexander GR, Dattani N, Kramer MS, Macfarlane A, et al. The impact of the increasing number of multiple births on the rates of preterm birth and low birthweight: an international study. Am J Public Health. 2002;92(8):1323–30.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Powers WF, Kiely JL. The Risks confronting twins - a National Perspective. Am J Obstet Gynecol. 1994;170(2):456–61.

    Article  CAS  PubMed  Google Scholar 

  34. Fisher J, Stocky A. Maternal perinatal mental health and multiple births: implications for practice. Twin Res. 2003;6(6):506–13.

    Article  PubMed  Google Scholar 

  35. Cohen S, Kamarck T, Mermelstein R. A Global measure of perceived stress. J Health Soc Behav. 1983;24(4):385–96.

    Article  CAS  PubMed  Google Scholar 

  36. Spielberger CDGR, Lushene R, Vagg PR, Jacobs GA. Manual for the state-trait anxiety inventory. Palo Alto, CA: Consulting Psychologists Press; 1983.

    Google Scholar 

  37. McDonald SW, Kingston D, Bayrampour H, Dolan SM, Tough SC. Cumulative psychosocial stress, coping resources, and preterm birth. Arch Women Ment Hlth. 2014;17(6):559–68.

    Article  Google Scholar 

  38. Tough SC, Svenson LW, Johnston DW, Schopflocher D. Characteristics of preterm delivery and low birthweight among 113,994 infants in Alberta: 1994–1996. Can J Public Health. 2001;92(4):276–80.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Goodwin RD, Cheslack-Postava K, Nelson DB, Smith PH, Hasin DS, Janevic T, et al. Serious psychological distress and smoking during pregnancy in the United States: 2008–2014. Nicotine Tob Res. 2017;19(5):605–14.

    Article  PubMed  PubMed Central  Google Scholar 

  40. van Buuren S. Multiple imputation of discrete and continuous data by fully conditional specification. Stat Methods Med Res. 2007;16(3):219–42.

    Article  PubMed  Google Scholar 

  41. von Hippel PT. How to impute interactions, squares and other transformed variables. Sociol Methodol. 2009;39:265–91.

    Article  Google Scholar 

  42. Tough SC, McDonald SW, Collisson BA, Graham SA, Kehler H, Kingston D, et al. Cohort Profile: the all our babies pregnancy cohort (AOB). Int J Epidemiol. 2017;46(5):1389–.

    Article  PubMed  Google Scholar 

  43. Damron KR. Review of the Relationships among psychosocial stress, secondhand smoke, and Perinatal Smoking. Jognn-J Obst Gyn Neo. 2017;46(3):325–33.

    Article  Google Scholar 

  44. Bullock LFC, Mears JLC, Woodcock C, Record R. Retrospective study of the association of stress and smoking during pregnancy in rural women. Addict Behav. 2001;26(3):405–13.

    Article  CAS  PubMed  Google Scholar 

  45. Choi D, Ota S, Watanuki S. Does cigarette smoking relieve stress? Evidence from the event-related potential (ERP). Int J Psychophysiol. 2015;98(3):470–6.

    Article  PubMed  Google Scholar 

  46. Hajek P, Taylor T, McRobbie H. The effect of stopping smoking on perceived stress levels. Addiction. 2010;105(8):1466–71.

    Article  PubMed  Google Scholar 

  47. Kassel JD, Stroud LR, Paronis CA. Smoking, stress, and negative affect: correlation, causation, and context across stages of smoking. Psychol Bull. 2003;129(2):270–304.

    Article  PubMed  Google Scholar 

  48. Parrott AC. Cigarette smoking does cause stress. Am Psychol. 2000;55(10):1159–60.

    Article  CAS  PubMed  Google Scholar 

  49. Parrott AC. Does cigarette smoking cause stress? Am Psychol. 1999;54(10):817–20.

    Article  CAS  PubMed  Google Scholar 

  50. Parrott AC. Smoking Cessation leads to reduced stress, but why. Int J Addict. 1995;30(11):1509–16.

    Article  CAS  PubMed  Google Scholar 

  51. Giurgescu C, Zenk SN, Dancy BL, Park CG, Dieber W, Block R. Relationships among Neighborhood Environment, racial discrimination, psychological distress, and Preterm Birth in African American Women. Jognn-J Obst Gyn Neo. 2012;41(6):E51–E61.

    Article  Google Scholar 

  52. Tuormaa TE. The adverse effects of tobacco smoking on reproduction and health: a review from the literature. Nutr Health. 1995;10(2):105–20.

    Article  CAS  PubMed  Google Scholar 

  53. Wadhwa PD, Sandman CA, Porto M, Dunkelschetter C, Garite TJ. The association between prenatal stress and infant birth-weight and gestational-age at birth - a prospective investigation. Am J Obstet Gynecol. 1993;169(4):858–65.

    Article  CAS  PubMed  Google Scholar 

  54. Helbig A, Kaasen A, Malt UF, Haugen G. Does antenatal maternal psychological distress affect placental circulation in the third trimester? PLoS ONE. 2013;8(2).

  55. Giscombe CL, Lobel M. Explaining disproportionately high rates of adverse birth outcomes among african Americans: the impact of stress, racism, and related factors in pregnancy. Psychol Bull. 2005;131(5):662–83.

    Article  PubMed  PubMed Central  Google Scholar 

  56. Anderson P, Doyle LW, Stu VIC. Neurobehavioral outcomes of school-age children born extremely low birth weight or very preterm in the 1990s. Jama-J Am Med Assoc. 2003;289(24):3264–72.

    Article  Google Scholar 

  57. Aarnoudse-Moens CSH, Weisglas-Kuperus N, van Goudoever JB, Oosterlaan J. Meta-analysis of Neurobehavioral Outcomes in very Preterm and/or very low Birth Weight Children. Pediatrics. 2009;124(2):717–28.

    Article  PubMed  Google Scholar 

  58. Al-Sahab B, Saqib M, Hauser G, Tamim H. Prevalence of smoking during pregnancy and associated risk factors among canadian women: a national survey. Bmc Pregnancy Childb. 2010;10.

  59. Yerushalmy J. The relationship of parents’ cigarette smoking to outcome of pregnancy-implications as to the problem of inferring causation from observed associations. Int J Epidemiol. 2014;43(5):1355–66.

    Article  CAS  PubMed  Google Scholar 

  60. Montgomery SM, Ekbom A. Smoking during pregnancy and diabetes mellitus in a british longitudinal birth cohort. Brit Med J. 2002;324(7328):26–7.

    Article  PubMed  PubMed Central  Google Scholar 

  61. Rayfield S, Plugge E. Systematic review and meta-analysis of the association between maternal smoking in pregnancy and childhood overweight and obesity. J Epidemiol Commun H. 2017;71(2):162–73.

    Article  Google Scholar 

  62. Braun JM, Daniels JL, Poole C, Olshan AF, Hornung R, Bernert JT, et al. Prenatal environmental tobacco smoke exposure and early childhood body mass index. Paediatr Perinat Ep. 2010;24(6):524–34.

    Article  Google Scholar 

  63. Blatt K, Moore E, Chen A, Van Hook J, DeFranco EA. Association of reported trimester-specific smoking Cessation with fetal growth restriction. Obstet Gynecol. 2015;125(6):1452–9.

    Article  PubMed  PubMed Central  Google Scholar 

  64. Pickett KE, Wakschlag LS, Dai LT, Leventhal BL. Fluctuations of maternal smoking during pregnancy. Obstet Gynecol. 2003;101(1):140–7.

    PubMed  Google Scholar 

  65. Bastani F, Hidarnia A, Kazemnejad A, Vafaei M, Kashanian M. A randomized controlled trial of the effects of applied relaxation training on reducing anxiety and perceived stress in pregnant women. J Midwifery Women’s Health. 2005;50(4):e36–40.

    Article  Google Scholar 

  66. Glynn LM, Schetter CD, Hobel CJ, Sandman CA. Pattern of perceived stress and anxiety in pregnancy predicts preterm birth. Health Psychol. 2008;27(1):43–51.

    Article  PubMed  Google Scholar 

  67. Goedhart G, van der Wal MF, Cuijpers P, Bonsel GJ. Psychosocial problems and continued smoking during pregnancy. Addict Behav. 2009;34(4):403–6.

    Article  PubMed  Google Scholar 

  68. Dubber S, Reck C, Muller M, Gawlik S. Postpartum bonding: the role of perinatal depression, anxiety and maternal-fetal bonding during pregnancy. Arch Womens Ment Health. 2015;18(2):187–95.

    Article  CAS  PubMed  Google Scholar 

  69. Gunning MD, Denison FC, Stockley CJ, Ho SP, Sandhu HK, Reynolds RM. Assessing maternal anxiety in pregnancy with the state-trait anxiety inventory (STAI): issues of validity, location and participation. J Reprod Infant Psyc. 2010;28(3):266–73.

    Article  Google Scholar 

  70. Kalra S, Einarson A, Karaskov T, Van Uum S, Koren G. The relationship between stress and hair cortisol in healthy pregnant women. Clin Invest Med. 2007;30(2):E103–E7.

    Article  CAS  PubMed  Google Scholar 

  71. Vinikoor-Imler LC, Davis JA, Meyer RE, Messer LC, Luben TJ. Associations between prenatal exposure to air pollution, small for gestational age, and term low birthweight in a state-wide birth cohort. Environ Res. 2014;132:132–9.

    Article  CAS  PubMed  Google Scholar 

  72. Dejin-Karlsson E, Hanson BS, Ostergren PO, Lindgren A, Sjoberg NO, Marsal K. Association of a lack of psychosocial resources and the risk of giving birth to small for gestational age infants: a stress hypothesis. Brit J Obstet Gynaec. 2000;107(1):89–100.

    Article  CAS  Google Scholar 

Download references

Acknowledgements

The authors would also and thank the participants of the All of Families cohort as well as the study staff and research team.

Funding

This work was supported by PolicyWise who were not involved in the conceptualization or design of the study, data collection, analyses, and interpretation of the findings.

Author information

Authors and Affiliations

Authors

Contributions

SY conceptualized the project and analyzed the data, with assistance from GJ, SSP, VS, and SWM. All authors contributed to interpretation, writing and editing the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Shelby S. Yamamoto.

Ethics declarations

Ethics approval and consent to participate

Ethics approval was obtained from Child Health Research Office and the Conjoint Health Research Ethics Board of the Faculties of Medicine, Nursing, and Kinesiology (University of Calgary) and the Affiliated Teaching Institutions [31]. Informed consent was obtained from all participants. All research was conducted in accordance with relevant guidelines and regulations.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yamamoto, S.S., Premji, S.S., Saini, V. et al. Investigating associations between maternal stress, smoking and adverse birth outcomes: evidence from the All Our Families cohort. BMC Pregnancy Childbirth 23, 710 (2023). https://0-doi-org.brum.beds.ac.uk/10.1186/s12884-023-06029-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://0-doi-org.brum.beds.ac.uk/10.1186/s12884-023-06029-y

Keywords