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ORIGINAL RESEARCH

Exploring a Potential Interaction Between the Effect of Specific Maternal Smoking Patterns and Comorbid Antenatal Depression in Causing Postpartum Depression

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Pages 795-807 | Received 16 Nov 2023, Accepted 10 Mar 2024, Published online: 03 Apr 2024

References

  • Underwood L, Waldie K, D’Souza S, Peterson ER, Morton S. A review of longitudinal studies on antenatal and postnatal depression. Archives of Women’s Mental Health. 2016;19(5):711–720. doi:10.1007/s00737-016-0629-1
  • Vliegen N, Casalin S, Luyten P. The course of postpartum depression: a review of longitudinal studies. Harvard Review of Psychiatry. 2014;22(1):1–22. doi:10.1097/HRP.0000000000000013
  • Curry SJ, Krist AH, Owens DK, et al. Interventions to prevent perinatal depression: US preventive services task force recommendation statement. JAMA. 2019;321(6):580–587. doi:10.1001/jama.2019.0007
  • Accortt EE, Cheadle AC, Schetter CD. Prenatal depression and adverse birth outcomes: an updated systematic review. Maternal and Child Health. 2015;19(6):1306–1337. doi:10.1007/s10995-014-1637-2
  • Milgrom J, Gemmill AW, Bilszta JL, et al. Antenatal risk factors for postnatal depression: a large prospective study. Journal of Affective Disorders. 2008;108(1–2):147–157. doi:10.1016/j.jad.2007.10.014
  • Guintivano J, Manuck T, Meltzer-Brody S. Predictors of postpartum depression: a comprehensive review of the last decade of evidence. Clinical Obstetrics and Gynecology. 2018;61(3):591–603. doi:10.1097/GRF.0000000000000368
  • Goodwin RD, Cheslack-Postava K, Nelson DB, et al. Smoking during pregnancy in the United States, 2005–2014: the role of depression. Drug Alcohol Depen. 2017;179:159–166. doi:10.1016/j.drugalcdep.2017.06.021
  • Centers for Disease Control and Prevention (CDC). Smoking and Tobacco Use; 2022. Available from: https://www.cdc.gov/tobacco/. Accessed March 26, 2024.
  • Oncken C, Ka R, Kuo CL, Dornelas E, Hr K, Hz S. Correlates of electronic cigarettes use before and during pregnancy. Nicotine and Tobacco Research. 2017;19(5):585–590. doi:10.1093/ntr/ntw225
  • Kondracki AJ, Hofferth SL. A gestational vulnerability window for smoking exposure and the increased risk of preterm birth: how timing and intensity of maternal smoking matter. Reproductive Health. 2019;16:43. doi:10.1186/s12978-019-0705-x
  • Kondracki AJ. Low birthweight in term singletons mediates the association between maternal smoking intensity exposure status and immediate neonatal intensive care unit admission: the E-value assessment. Pregnancy and Childbirth. 2020;20:341. doi:10.1186/s12884-020-02981-1
  • Liu B, Xu G, Sun Y, et al. Maternal cigarette smoking before and during pregnancy and the risk of preterm birth: a dose–response analysis of 25 million mother–infant pairs. Public Lib Sci Med. 2020;17(8):e1003158. doi:10.1371/journal.pmed.1003158
  • Eiden RD, Homish GG, Colder CR, Schuetze P, Gray TR, Huestis MA. Changes in smoking patterns during pregnancy. Substance Use and Misuse. 2013;48(7):513–522. doi:10.3109/10826084.2013.787091
  • Kondracki AJ. Prevalence and patterns of cigarette smoking before and during early and late pregnancy according to maternal characteristics: the first national data based on the 2003 birth certificate revision, United States, 2016. Reproductive Health. 2019;16(1):142. doi:10.1186/s12978-019-0807-5
  • Munafò MR, Hitsman B, Rende R, Metcalfe C, Niaura R. Effects of progression to cigarette smoking on depressed mood in adolescents: evidence from the national longitudinal study of adolescent health. Addiction. 2008;103(1):162–171. doi:10.1111/j.1360-0443.2007.02052.x
  • Munafò MR, Araya R. Cigarette smoking and depression: a question of causation. British Journal of Psychiatry. 2010;196(6):425–426. doi:10.1192/bjp.bp.109.074880
  • Chen HL, Cai JY, Zha ML, Shen WQ. Prenatal smoking and postpartum depression: a meta-analysis. Journal of Psychosomatic Obstetrics & Gynecology. 2019;40(2):97–105. doi:10.1080/0167482X.2017.1415881
  • Skov-Ettrup LS, Nordestgaard BG, Petersen CB, Tolstrup JS. Does high tobacco consumption cause psychological distress? A Mendelian randomization study. Nicotine Tob Res. 2017;19(1):32–38. doi:10.1093/ntr/ntw186
  • Taylor AE, Fluharty ME, Bjørngaard JH, et al. Investigating the possible causal association of smoking with depression and anxiety using Mendelian randomisation meta-analysis: the CARTA consortium. BMJ Open. 2024;4(10):e006141. doi:10.1136/bmjopen-2014-006141
  • Gage SH, Smith GD, Zammit S, Hickman M, Munafò MR. Using Mendelian randomisation to infer causality in depression and anxiety research. Depression and Anxiety. 2013;30(12):1185–1193. doi:10.1002/da.22150
  • Yu J, Zhang Z, Deng Y, et al. Risk factors for the development of postpartum depression in individuals who screened positive for antenatal depression. BMC Psychiatry. 2023;23(1):557. doi:10.1186/s12888-023-05030-1
  • Yim IS, Tanner Stapleton LR, Guardino CM, Hahn-Holbrook J, Dunkel Schetter C. Biological and psychosocial predictors of postpartum depression: systematic review and call for integration. Annu Rev Clin Psychol. 2015;11:99–137. doi:10.1146/annurev-clinpsy-101414-020426
  • Wisner KL, Sit DKY, McShea MC, et al. Onset timing, thoughts of self-harm, and diagnoses in postpartum women with screen-positive depression findings. JAMA Psychiatry. 2013;70(5):490–498. doi:10.1001/jamapsychiatry.2013.87
  • Pearl J. Causal diagrams for empirical research. Biometrika. 1995;82(4):669–688. doi:10.2307/2337329
  • Greenland S, Pearl J, Robins JM. Causal diagrams for epidemiologic research. Epidemiology. 1999;10(1):37–48. doi:10.1097/00001648-199901000-00008
  • Greenland S. Interactions in epidemiology: relevance, identification, and estimation. Epidemiology. 2009;20(1):14–17. doi:10.1097/EDE.0b013e318193e7b5
  • VanderWeele TJ. The Interaction Continuum. Epidemiology. 2019;30(5):648–658. doi:10.1097/EDE.0000000000001054
  • Rothman KJ, Greenland S. Modern Epidemiology. Philadelphia, PA: Lippincott Williams & Wilkins; 2008.
  • Hernan MA, Robins JM Causal Inference: what if. boca raton: chapman & hall/CRC. 2020. Available from: https://cdn1.sph.harvard.edu/wpcontent/uploads/sites/1268/2021/03/ciwhatif_hernanrobins_30mar21.pdf.Accessed March 26, 2024.
  • Centers for Disease Control and Prevention (CDC). Pregnancy Risk Assessment Monitoring System (PRAMS); 2021. Available from: https://www.cdc.gov/prams/methodology.htm.Accessed 7, Oct, 2014.
  • Shulman HB, D’Angelo DV, Harrison L, Smith RA, Warner L. The Pregnancy Risk Assessment Monitoring System (PRAMS): overview of design and methodology. Am J Public Health. 2018;108(10):1305–1313. doi:10.2105/AJPH.2018.304563
  • Williamson EJ, Aitken Z, Lawrie J, Dharmage SC, Burgess JA, Forbes AB. Introduction to causal diagrams for confounder selection. Respirology. 2014;19(3):303–311. doi:10.1111/resp.12238
  • de Mutsert R, Jager KJ, Zoccali C, Dekker FW. The effect of joint exposures: examining the presence of interaction. Kidney International. 2009;75(7):677–681. doi:10.1038/ki.2008.645
  • VanderWeele TJ. Explanation in Causal Inference: Methods for Mediation and Interaction. New York, NY: Oxford University Press; 2015.
  • Assmann SF, Hosmer DW, Lemeshow S, Mundt KA. Confidence intervals for measures of interaction. Epidemiology. 1996;7(3):286–290. doi:10.1097/00001648-199605000-00012
  • VanderWeele TJ, Tchetgen Tchetgen EJ. Attributing effects to interactions. Epidemiology (Cambridge, Mass. 2014;25(5):711–722. doi:10.1097/EDE.0000000000000096
  • Rubin DB. Causal inference using potential outcomes. J Am Stat Assoc. 2005;100:322–331. doi:10.1198/016214504000001880
  • Sterne JA, White IR, Carlin JB, et al. Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls. BMJ. 2009;338:157–160. doi:10.1136/bmj.b239330
  • Db R. Multiple imputation after 18+ Years. J Am Stat Assoc. 1996;91(434):473–489.
  • Ding P, VanderWeele TJ. Sensitivity analysis without assumptions. Epidemiology. 2016;27(3):368–377. doi:10.1097/EDE.0000000000000457
  • VanderWeele TJ, Ding P. Sensitivity analysis in observational research: introducing the E-value. Ann Intern Med. 2017;167(4):268. doi:10.7326/M16-2607
  • Mathur MB, Smith LH, Yoshida K, Ding P, VanderWeele TJ. E-values for effect heterogeneity and approximations for causal interaction. Int J Epidemiol. 2022;51(4):1268–1275. doi:10.1093/ije/dyac073
  • Josefsson A, Berg G, Nordin C, Sydsjö G. Prevalence of depressive symptoms in late pregnancy and postpartum. Acta Obstetricia et Gynecologica Scandinavica. 2001;80(3):251–255. doi:10.1034/j.1600-0412.2001.080003251.x
  • Zhang L, Wang L, Cui S, Yuan Q, Huang C, Zhou X. Prenatal depression in women in the third trimester: prevalence, predictive factors, and relationship with maternal-fetal attachment. Frontiers in Public Health. 2021;8:602005. doi:10.3389/fpubh.2020.602005
  • Attia J, Holliday E, Oldmeadow C. A proposal for capturing interaction and effect modification using DAGs. Int J Epidemiol. 2022;51(4):1047–1053. doi:10.1093/ije/dyac126
  • Greenland S, Poole C. Invariants and non-invariants in the concept of interdependent effects. Scandinavian Journal of Work, Environment & Health. 1988;14(2):125–129. doi:10.5271/sjweh.1945
  • Höfler M. Causal inference based on counterfactuals. BMC Medical Research Methodology. 2005;5:28. doi:10.1186/1471-2288-5-28
  • Mor G, Cardenas I, Abrahams V, Guller S. Inflammation and pregnancy: the role of the immune system at the implantation site. Ann NY Acad Sci. 2011;1221(1):80–87. doi:10.1111/j.1749-6632.2010.05938.x
  • Nunes SO, Vargas HO, Brum J, et al. A comparison of inflammatory markers in depressed and nondepressed smokers. Nicotine Tobacco Res. 2012;14(5):540–546. doi:10.1093/ntr/ntr247
  • Galan D, Perry BI, Warrier V, et al. Applying Mendelian randomization to appraise causality in relationships between smoking, depression and inflammation. Sci Rep. 2022;12(1):15041. doi:10.1038/s41598-022-19214-4
  • Osborne LM, Yenokyan G, Fei K, et al. Innate immune activation and depressive and anxious symptoms across the peripartum: an exploratory study. Psychoneuro-Endocrinology. 2019;99:80–86. doi:10.1016/j.psyneuen.2018.08.038
  • Dietz P, Bombard J, Mulready-Ward C, et al. Validation of self-reported maternal and infant health indicators in the pregnancy risk assessment monitoring System. Maternal Child Health J. 2014;18(10):2489–2498. doi:10.1007/s10995-014-1487-y
  • VanderWeele TJ. Concerning the consistency assumption in causal inference. Epidemiology. 2009;20(6):880–883. doi:10.1097/EDE.0b013e3181bd5638
  • Ferguson KD, McCann M, Katikireddi SV, et al. Evidence synthesis for constructing directed acyclic graphs (ESC-DAGs): a novel and systematic method for building directed acyclic graphs. Int J Epidemiol. 2020;49(1):322–329. doi:10.1093/ije/dyz150
  • Greenland S. Limitations of individual causal models, causal graphs, and ignorability assumptions, as illustrated by random confounding and design unfaithfulness. European Journal of Epidemiology. 2015;30:1101–1110. doi:10.1007/s10654-015-9995-7
  • Hernán MA, Cole SR. Invited commentary: causal diagrams and measurement bias. American Journal of Epidemiology. 2009;170(8):959–964. doi:10.1093/aje/kwp293
  • Krieger N, Davey SG. The tale wagged by the DAG: broadening the scope of causal inference and explanation for epidemiology. Int J Epidemiol. 2016;45(6):1787–1808. doi:10.1093/ije/dyw114