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Distinguishing postpartum and antepartum depressive trajectories in a large population-based cohort: the impact of exposure to adversity and offspring gender

Published online by Cambridge University Press:  11 September 2017

C. A. Denckla*
Affiliation:
Harvard T. H. Chan School of Public Health, Cambridge, MA, USA
A. D. Mancini
Affiliation:
Pace University, New York, USA
N. S. Consedine
Affiliation:
University of Auckland, New Zealand
S. M. Milanovic
Affiliation:
Boston Medical Center, Boston University, Boston, MA, USA
A. Basu
Affiliation:
Harvard T. H. Chan School of Public Health, Cambridge, MA, USA
S. Seedat
Affiliation:
Stellenbosch University, Cape Town, South Africa
G. Spies
Affiliation:
Stellenbosch University, Cape Town, South Africa
D. C. Henderson
Affiliation:
Boston Medical Center, Boston University, Boston, MA, USA
G. A. Bonanno
Affiliation:
Teacher's College, Columbia University, New York City, USA
K. C. Koenen
Affiliation:
Harvard T. H. Chan School of Public Health, Cambridge, MA, USA
*
Author for correspondence: C. A. Denckla, Ph.D., E-mail: cdenckla@broadinstitute.org

Abstract

Background

Distinguishing temporal patterns of depressive symptoms during pregnancy and after childbirth has important clinical implications for diagnosis, treatment, and maternal and child outcomes. The primary aim of the present study was to distinguish patterns of chronically elevated levels of depressive symptoms v. trajectories that are either elevated during pregnancy but then remit after childbirth, v. patterns that increase after childbirth.

Methods

The report uses latent growth mixture modeling in a large, population-based cohort (N = 12 121) to investigate temporal patterns of depressive symptoms. We examined theoretically relevant sociodemographic factors, exposure to adversity, and offspring gender as predictors.

Results

Four distinct trajectories emerged, including resilient (74.3%), improving (9.2%), emergent (4.0%), and chronic (11.5%). Lower maternal and paternal education distinguished chronic from resilient depressive trajectories, whereas higher maternal and partner education, and female offspring gender, distinguished the emergent trajectory from the chronic trajectory. Younger maternal age distinguished the improving group from the resilient group. Exposure to medical, interpersonal, financial, and housing adversity predicted membership in the chronic, emergent, and improving trajectories compared with the resilient trajectory. Finally, exposure to medical, interpersonal, and financial adversity was associated with the chronic v. improving group, and inversely related to the emergent class relative to the improving group.

Conclusions

There are distinct temporal patterns of depressive symptoms during pregnancy, after childbirth, and beyond. Most women show stable low levels of depressive symptoms, while emergent and chronic depression patterns are separable with distinct correlates, most notably maternal age, education levels, adversity exposure, and child gender.

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2017 

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References

Aasheim, V, Waldenstrom, U, Hjelmstedt, A, Rasmussen, S, Pettersson, H et al. Schytt, E (2012) Associations between advanced maternal age and psychological distress in primiparous women, from early pregnancy to 18 months postpartum. BJOG 119, 11081116.CrossRefGoogle ScholarPubMed
Affonso, DD, De, AK, Horowitz, JA and Mayberry, LJ (2000) An international study exploring levels of postpartum depressive symptomatology. Journal of Psychosomatic Research 49, 207216.CrossRefGoogle Scholar
American Psychiatric Association (2013) DSM 5. Diagnostic and Statistical Manual of Mental Disorders. Washington, DC: American Psychiatric Association.Google Scholar
Barnett, BEW, Hanna, B and Parker, G (1983) Life event scales for obstetric groups. Journal of Psychosomatic Research 27, 313320.CrossRefGoogle ScholarPubMed
Barthel, D, Kriston, L, Barkmann, C, Appiah-Poku, J, Te Bonle, M, Esther Doris, KY et al. (2016) Longitudinal course of ante- and postpartum generalized anxiety symptoms and associated factors in West-African women from Ghana and Côte d'Ivoire. Journal of Affective Disorders 197, 125133.CrossRefGoogle ScholarPubMed
Beck, CT (2001) Predictors of postpartum depression: an update. Nursing Research 50, 275285.CrossRefGoogle ScholarPubMed
Bennett, HA, Einarson, A, Taddio, A, Koren, G et al. Einarson, TR (2004) Prevalence of depression during pregnancy: systematic review. Obstetrics & Gynecology 103, 698709.CrossRefGoogle ScholarPubMed
Bloch, M, Schmidt, PJ, Danaceau, M, Murphy, J, Nieman, L and Rubinow, DR (2000) Effects of gonadal steroids in women with a history of postpartum depression. American Journal of Psychiatry 157, 924930.CrossRefGoogle ScholarPubMed
Bonanno, GA (2004) Loss, trauma, and human resilience: have we underestimated the human capacity to thrive after extremely aversive events? American Psychologist 59, 2028.CrossRefGoogle ScholarPubMed
Bonanno, GA, Field, NP, Kovacevic, A and Kaltman, S (2002) Self-enhancement as a buffer against extreme adversity: civil war in Bosnia and traumatic loss in the United States. Personality and Social Psychology Bulletin 28, 184196.CrossRefGoogle Scholar
Bonanno, GA, Westphal, M and Mancini, AD (2011) Resilience to loss and potential trauma. Annual Review of Clinical Psychology 7, 511535.CrossRefGoogle ScholarPubMed
Boyd, A, Golding, J, Macleod, J, Lawlor, DA, Fraser, A, Henderson, J et al. (2013) Cohort profile: the ‘children of the 90s’ – the index offspring of the Avon longitudinal study of parents and children. International Journal of Epidemiology 42, 111127.CrossRefGoogle ScholarPubMed
Brown, GW and Harris, T (1978) Social Origins of Depression: A Study of Psychiatric Disorder in Women. London: Tavistock Press.Google Scholar
Buttner, MM, Brock, RL and O'Hara, MW (2015) Patterns of women's mood after delivery: a growth curve analysis. Journal of Affective Disorders 174, 201208.CrossRefGoogle ScholarPubMed
Christensen, AL, Stuart, EA, Perry, DF and Le, HN (2011) Unintended pregnancy and perinatal depression trajectories in low-income, high-risk Hispanic immigrants. Prevention Science 12, 289299.CrossRefGoogle ScholarPubMed
Class, QA, Abel, KM, Khashan, AS, Rickert, ME, Dalman, C, Larsson, H et al. (2014) Offspring psychopathology following preconception, prenatal and postnatal maternal bereavement stress. Psychological Medicine 44, 7184.CrossRefGoogle ScholarPubMed
Cox, JL, Chapman, G, Murray, D and Jones, P (1996) Validation of the Edinburgh postnatal depression scale (EPDS) in non-postnatal women. Journal of Affective Disorders 39, 185189.CrossRefGoogle ScholarPubMed
Cox, JL, Holden, JM and Sagovsky, R (1987) Detection of postnatal depression: development of the 10-item Edinburgh Postnatal Depression Scale. The British Journal of Psychiatry 150, 782786.CrossRefGoogle ScholarPubMed
Enders, CK (2001) The impact of nonnormality on full information maximum-likelihood estimation for structural equation models with missing data. Psychological Methods 6, 352370.CrossRefGoogle ScholarPubMed
Fraser, A, Macdonald-Wallis, C, Tilling, K, Boyd, A, Golding, J, Davey Smith, G et al. (2013) Cohort profile: the Avon longitudinal study of parents and children: ALSPAC mothers cohort. International Journal of Epidemiology 42, 97110.CrossRefGoogle ScholarPubMed
Fredriksen, E, von Soest, T, Smith, L and Moe, V (2017) Patterns of pregnancy and postpartum depressive symptoms: latent class trajectories and predictors. Journal of Abnormal Psychology 126, 173183.CrossRefGoogle ScholarPubMed
Galatzer-Levy, IR, Mazursky, H, Mancini, AD and Bonanno, GA (2011) What we don't expect when expecting: evidence for heterogeneity in subjective well-being in response to parenthood. Journal of Family Psychology 25, 384392.CrossRefGoogle ScholarPubMed
Gavin, NI, Gaynes, BN, Lohr, KN, Meltzer-Brody, S, Gartlehner, G and Swinson, T (2005) Perinatal depression: a systematic review of prevalence and incidence. Obstetrics & Gynecology 106, 10711083.CrossRefGoogle ScholarPubMed
Glasheen, C, Richardson, GA, Kim, KH, Larkby, CA, Swartz, HA and Day, NL (2013) Exposure to maternal pre- and postnatal depression and anxiety symptoms: risk for major depression, anxiety disorders, and conduct disorder in adolescent offspring. Developmental Psychopathology 25, 10451063.CrossRefGoogle ScholarPubMed
Golding, J, Pembrey, M, Jones, R and Team, TA S. (2001) ALSPAC-The Avon longitudinal study of parents and children. Paediatric and Perinatal Epidemiology 15, 7487.CrossRefGoogle ScholarPubMed
Graham, JW (2009) Missing data analysis: making it work in the real world. Annual Review of Psychology 60, 549576.CrossRefGoogle ScholarPubMed
Hammerton, G, Mahedy, L, Mars, B, Harold, GT, Thapar, A, Zammit, S et al. (2015) Association between maternal depression symptoms across the first eleven years of their child's life and subsequent offspring suicidal ideation. PLoS ONE 10, e0131885.Google ScholarPubMed
Heron, J, O'Connor, TG, Evans, J, Golding, J, Glover, V and Team, AS (2004) The course of anxiety and depression through pregnancy and the postpartum in a community sample. Journal of Affective Disorders 80, 6573.CrossRefGoogle Scholar
Jung, T and Wickrama, KA S. (2008) An introduction to latent class growth analysis and growth mixture modeling. Social and Personality Psychology Compass 2/1, 302317.CrossRefGoogle Scholar
Keyes, KM, Pratt, C, Galea, S, McLaughlin, KA, Koenen, KC and Shear, KM (2014) The burden of loss: unexpected death of a loved one and psychiatric disorders across the life course in a national study. American Journal of Psychiatry 171, 864871.CrossRefGoogle Scholar
Lancaster, CA, Gold, KJ, Flynn, HA, Yoo, H, Marcus, SM and Davis, MM (2010) Risk factors for depressive symptoms during pregnancy: a systematic review. American Journal of Obstetrics and Gynecology 202, 514.CrossRefGoogle ScholarPubMed
Lo, Y, Mendell, NR and Rubin, DB (2001) Testing the number of components in a normal mixture. Biometrika 88, 767778.CrossRefGoogle Scholar
Luoma, I, Korhonen, M, Salmelin, RK, Helminen, M and Tamminen, T (2015) Long-term trajectories of maternal depressive symptoms and their antenatal predictors. Journal of Affective Disorders 170, 3038.CrossRefGoogle ScholarPubMed
Mancini, AD, Littleton, HL and Grills, AE (2016) Can people benefit from acute stress? Social support, psychological improvement, and resilience after the Virginia Tech campus shootings. Clinical Psychological Science 4, 401417.CrossRefGoogle Scholar
McCall-Hosenfeld, JS, Phiri, K, Schaefer, E, Zhu, J and Kjerulff, K (2016) Trajectories of depressive symptoms throughout the peri- and postpartum period: results from the First Baby Study. Journal of Women's Health 25, 11121121.CrossRefGoogle ScholarPubMed
Meltzer-Brody, S and Stuebe, A (2014) The long-term psychiatric and medical prognosis of perinatal mental illness. Best Practice & Research Clinical Obstetrics & Gynaecology 28, 4960.CrossRefGoogle ScholarPubMed
Mora, PA, Bennett, IM, Elo, IT, Mathew, L, Coyne, JC and Culhane, JF (2009) Distinct trajectories of perinatal depressive symptomatology: evidence from growth mixture modeling. American Journal of Epidemiology 169, 2432.CrossRefGoogle ScholarPubMed
Mukherjee, S, Coxe, S, Fennie, K, Madhivanan, P and Trepka, MJ (2017) Stressful life event experiences of pregnant women in the United States: a latent class analysis. Women's Health Issues 27, 8392.CrossRefGoogle ScholarPubMed
Murray, L, Kempton, C, Woolgar, M and Hooper, R (1993) Depressed mothers’ speech to their infants and its relation to infant gender and cognitive development. Journal of Child Psychology and Psychiatry 34, 10831101.CrossRefGoogle ScholarPubMed
Muthén, B (2004) Latent variable analysis: growth mixture modeling and related techniques for longitudinal data. In Kaplan, D. (ed). The Sage Handbook of Quantitative Methodology for the Social Sciences, Thousand Oaks, CA: Sage Publications, pp. 345368.Google Scholar
Muthén, LK and Muthén, BO (1988–2015) Mplus User's Guide. 7th edn. Los Angeles, CA: Muthén & Muthén.Google Scholar
Nylund, KL, Asparouhov, T and Muthén, BO (2007) Deciding on the number of classes in latent class analysis and growth mixture modeling: a Monte Carlo simulation study. Structural Equation Modeling: A Multidisciplinary Journal 14, 535569.CrossRefGoogle Scholar
O'Connor, TG, Monk, C and Burke, AS (2016) Maternal affective illness in the perinatal period and child development: findings on developmental timing, mechanisms, and intervention. Current Psychiatry Reports 18, 24.CrossRefGoogle ScholarPubMed
Office of Population Census & Surveys (1991) Standard Occupational Classification. London: Her Majesty's Stationary Office.Google Scholar
Parade, SH, Blankson, AN, Leerkes, EM, Crockenberg, SC and Faldowski, R (2014) Close relationships predict curvilinear trajectories of maternal depressive symptoms over the transition to parenthood. Family Relations 63, 206218.CrossRefGoogle Scholar
Pedersen, C, Leserman, J, Garcia, N, Stansbury, M, Meltzer-Brody, S and Johnson, J (2016) Late pregnancy thyroid-binding globulin predicts perinatal depression. Psychoneuroendocrinology 65, 8493.CrossRefGoogle ScholarPubMed
Postpartum Depression: Action towards Causes and Treatment (PACT) Consortium. (2015) Heterogeneity of postpartum depression: a latent class analysis. The Lancet Psychiatry 2, 5967.CrossRefGoogle Scholar
Putnam, KT, Wilcox, M, Robertson-Blackmore, E, Sharkey, K, Bergink, V, Munk-Olsen, T et al. (2017) Clinical phenotypes of perinatal depression and time of symptom onset: analysis of data from an international consortium. The Lancet Psychiatry 4, 477485.CrossRefGoogle ScholarPubMed
Robertson, E, Grace, S, Wallington, T and Stewart, DE (2004) Antenatal risk factors for postpartum depression: a synthesis of recent literature. General Hospital Psychiatry 26, 289295.CrossRefGoogle ScholarPubMed
Rubertsson, C, Waldenström, U and Wickberg, B (2003) Depressive mood in early pregnancy: prevalence and women at risk in a national Swedish sample. Journal of Reproductive and Infant Psychology 21, 113123.CrossRefGoogle Scholar
Santos, H Jr., Tan, X and Salomon, R (2017) Heterogeneity in perinatal depression: how far have we come? A systematic review. Archives of Women's Mental Health 20, 1123.CrossRefGoogle ScholarPubMed
Schiller, CE, Meltzer-Brody, S and Rubinow, DR (2015) The role of reproductive hormones in postpartum depression. CNS Spectrums 20, 4859.CrossRefGoogle ScholarPubMed
Seng, JS, Sperlich, M, Low, LK, Ronis, DL, Muzik, M and Liberzon, I (2013) Childhood abuse history, posttraumatic stress disorder, postpartum mental health, and bonding: a prospective cohort study. Journal of Midwifery & Women's Health 58, 5768.CrossRefGoogle ScholarPubMed
Stone, SL, Diop, H, Declercq, E, Cabral, HJ, Fox, MP and Wise, LA (2015) Stressful events during pregnancy and postpartum depressive symptoms. Journal of Women's Health 24, 384393.CrossRefGoogle ScholarPubMed
Wisner, KL, Chambers, C and Sit, DY (2006) Postpartum depression: a major public health problem. JAMA 296, 26162618.CrossRefGoogle ScholarPubMed
Woolhouse, H, Gartland, D, Mensah, F and Brown, SJ (2015) Maternal depression from early pregnancy to 4 years postpartum in a prospective pregnancy cohort study: implications for primary health care. BJOG 122, 312321.CrossRefGoogle Scholar
Wright, N, Hill, J, Pickles, A and Sharp, H (2015) The specific role of relationship life events in the onset of depression during pregnancy and the postpartum. PLoS ONE 10, e0144131.CrossRefGoogle ScholarPubMed
Xie, RH, He, G, Koszycki, D, Walker, M and Wen, SW (2009) Prenatal social support, postnatal social support, and postpartum depression. Annals of Epidemiology 19, 637643.CrossRefGoogle ScholarPubMed
Yaron, Y, Lehavi, O, Orr-Urtreger, A, Gull, I, Lessing, JB, Amit, A et al. (2002) Maternal serum HCG is higher in the presence of a female fetus as early as week 3 post-fertilization. Human Reproduction 17, 485489.CrossRefGoogle Scholar
Yonkers, KA, Smith, MV, Forray, A, Epperson, CN, Costello, D, Lin, H et al. (2014) Pregnant women with posttraumatic stress disorder and risk of preterm birth. JAMA Psychiatry 71, 897904.CrossRefGoogle ScholarPubMed
Yonkers, KA, Wisner, KL, Stewart, DE, Oberlander, TF, Dell, DL, Stotland, N et al. (2009) The management of depression during pregnancy: a report from the American Psychiatric Association and the American College of Obstetricians and Gynecologists. Obstetrics & Gynecology 114, 703713.Google ScholarPubMed
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