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Effect of prenatal exposure to maternal cortisol and psychological distress on infant development in Bengaluru, southern India: a prospective cohort study

BMC Psychiatry volume 17, Article number: 255 (2017) Cite this article

Abstract

Background

The mental health status of a pregnant woman and its consequent impact on foetal well being is not given much importance compared to the risk imposed by obstetric complications and medical conditions. Maternal psychological distress is a major public health problem and needs timely detection and intervention to prevent any adverse pregnancy outcome. There is ample evidence from literature that justifies the association of prenatal maternal mental stress and elevated cortisol with delayed infant motor and cognitive development; evidence from India being rather limited. The study aim is to prospectively assess the association of maternal psychological distress and cortisol level with motor and cognitive development of the infant.

Methods

A sample of 2612 eligible pregnant women who have been registered for antenatal care at selected public sector hospitals in Bengaluru will be recruited after obtaining written informed consent. They will be assessed for the presence of maternal psychological distress in the form of depression and anxiety using appropriate scales and saliva samples will be collected for cortisol estimation during early, mid and late pregnancy. Follow up visits after delivery will be done on day 10, 3 months, 8 months and 12 months. The Bayley Scales of Infant and Toddler Development [BSID] (Third edition) will be used to measure both motor and mental milestones in terms of Psychomotor Development Index (PDI) and Mental Development Index (MDI). Logistic regression model will be used to determine the association between the exposure variables and outcomes which will be reported as Odd’s Ratio (OR) and 95% confidence intervals (CI).

Discussion

Our study findings could add to the growing evidence that maternal psychological distress during pregnancy adversely influences growth and development in the offspring and subsequent development of the child. While maternal anxiety and depression can be measured by using self reporting instruments, estimation of maternal endogenous cortisol levels could serve as a biomarker of prenatal psychological stress. Findings from this study could be used to focus upon the burden of mental health problems during pregnancy and to consider steps to scale up prenatal mental health services in health care settings.

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Background

Pregnancy is a time of physiologic, mental and emotional change. As a result, women are highly vulnerable to psychological distress that includes anxiety, depression and stress [1,2,3]. During this phase of complex and dynamic changes, the fetal organs and organ systems that are forming are subject to both positive and negative influences, also known as foetal programming [4]. There is ample evidence from literature that justifies the association of prenatal maternal stress with delayed infant motor and cognitive development wherein it has been reported that high levels of maternal stress during mid-pregnancy was significantly associated with lower scores of motor and mental development of the infant [5,6,7,8].

Prenatal maternal stress has been frequently linked with elevated levels of maternal endogenous cortisol [9]. The cortisol hormone plays an important role in normal development of the foetus [10]. During pregnancy, the maternal cortisol levels increase by two to four times [11]. This increase has a positive influence on neural development [12]. However, foetal exposure to excess maternal cortisol may result in impaired brain development as a result of neurotoxicity [13, 14]. Animal studies show that exposure to prenatal stress induced a significant rise in maternal cortisol secretion by activating the maternal Hypothalamo Pituitary Axis (HPA). Elevated levels of cortisol reach the foetus and modify the activity of foetal HPA axis [15,16,17]. This modification of the foetal HPA axis exerts a detrimental effect on further growth and development through a series of complex endocrine mechanisms [18,19,20]. In animals, prenatal stress also exerts an inhibitory effect on the placental enzyme 11 β-hydroxysteroid-dehydrogenase type 2 which converts maternal cortisol to inactive cortisone resulting in a rise in amniotic fluid cortisol level which affects foetal HPA functioning [21].

The evidence of association of prenatal stress with elevated maternal cortisol levels in humans is rather weak [22,23,24]. Nevertheless, there are few studies that have evaluated the effect of prenatal exposure to elevated maternal cortisol on infant outcomes and observed an adverse effect on infant development and lower scores of IQ in childhood [5, 7, 25]. The timing of exposure to elevated maternal cortisol during the gestational period appears to be of significance. While one such study observed poor infant neuromotor development to be associated with exposure early in pregnancy, another one reported a significant association with exposure in the third trimester [5, 7].

While most of the studies have relied on maternal self reporting of psychological distress to establish its linkage with adverse infant outcome, there are a few studies in which prenatal stress did not appear to influence infant and child development [26, 27]. Thus, this kind of self reporting may have its own limitation in quantifying stress during pregnancy [5, 28]. Few of the studies have used both measures for establishing the presence of prenatal stress i.e., self reporting and measurement of maternal cortisol and observed an independent significant association with adverse infant and child outcomes in each case [5, 7, 29,30,31].

Evidence from India that depicts the association of prenatal stress with infant and child development is rather limited. A study done in Goa observed the existence of a positive association between psychological morbidity during pregnancy and low birth weight [32]. Another study done in India found prenatal maternal anxiety to be linked with elevated infant cortisol reactivity [33]. In another study which was undertaken to explore the relationship between prenatal stress and infant temperament, it was seen that although the levels of salivary cortisol was high in those infants whose mothers were psychologically distressed, there was no significant association with maternal reports of infant temperament [34]. However, these studies have not explored the effect of prenatal stress and maternal cortisol level on the mental and motor development of the offspring.

The prevalence of maternal prenatal depression has been observed to be a little higher than 25% in low and middle income countries [35, 36]. While core importance towards screening for obstetric risk factors and medical conditions is the norm in most settings; mental health of the pregnant women and its consequent impact on foetal well being tends to be overlooked. Maternal psychological distress is therefore a major public health problem and needs timely detection and intervention to prevent any adverse pregnancy outcome.

Given the above background, the aim of this study is to prospectively assess the association of maternal psychological distress and cortisol level with motor and cognitive development of the infant. The objectives include: (i) to describe the pattern of occurrence of maternal psychological distress during pregnancy (ii) to determine the influence of maternal psychological distress on infant motor and cognitive development (iii) to determine the influence of maternal cortisol level on infant motor and cognitive development. (iv) to correlate maternal psychological distress with maternal cortisol levels.

The proposed hypotheses are as follows:

Hypothesis 1: Maternal self reported psychological distress is associated with adverse infant motor and cognitive development.

Hypothesis 2: Elevated maternal cortisol level is associated with adverse infant motor and cognitive development.

A conceptual framework of the hypothesis depicting the exposure, outcome and potential confounders is outlined in Fig. 1.

Fig. 1
figure 1

Conceptual Framework to depict Hypotheses 1 and 2

Full size image

Methods/design

Study design: Prospective cohort study

Study participants and study setting

The study participants will include eligible pregnant women attending the antenatal clinic at the Jaya Nagar general hospital, Bangalore, who fulfill the following inclusion criteria which include (i) age between 18 and 40 years (ii) between 14 weeks to 28 weeks of gestation (iii) plan to deliver in the study hospital (iv) permanently residing in the study area within a radius of 15 km (v) full term healthy neonate with Apgar score of more than 7. Exclusion criteria will include (i) Multiple pregnancy (ii) grand multipara (iii) major pregnancy complications: preeclampsia-eclampsia, hyperemesis gravidarum (iv) birth complications: still births, preterm delivery, congenital anomalies (v) History of past or present intake of steroid medications.

Sample size

Evidence from literature shows that 10% to 20% of all women suffer from depression or anxiety during pregnancy [37, 38]. With an expected prevalence of 15%, an allowable error of 5%, 10% variability and power 80%, the sample size is calculated to be 2176. Assuming a drop out rate of 20%, the calculated sample size amounts to 2612.

Sampling method

All those pregnant women who are visiting the antenatal clinic will be screened for eligibility. The women who are found to be eligible will be enlisted every month. They will be selected to participate in the study by means of simple random sampling, by using a series of computer generated numbers. The selected women will be contacted over the phone and invited to come to the study hospital. If a selected woman denies to enter the study, the woman then with the next number will be invited to participate.

Study procedures

The selected women would be recruited into the study after obtaining a written informed consent from them.

The baseline assessment will be done at the time of recruitment between 14 and 28 weeks (early to mid pregnancy). A. questionnaire will be administered to collect data on socio-demographic characteristics, obstetric, medical and psychiatric past histories.

Further assessments will be done (i) 37–38 weeks of gestation (late pregnancy), and at (ii) 10 days (iii) 3, 8 months (iv) 12 months after birth.

A flowchart depicting the study steps is shown in Fig. 2.

Fig. 2
figure 2

Flowchart depicting steps of the cohort study

Full size image

Measurement of study exposure and outcomes

Maternal psychological distress

The presence of maternal psychological distress will be identified by using Kessler 10 Scale of Psychological Distress (K10) for prenatal depression [39] and the 10-item Pregnancy related anxiety (PRA) scale for pregnancy anxiety [40]. The K10 scale is well structured and includes questions about anxiety and depressive symptoms that a person has experienced in the most recent 4 week period. Each question has five response categories ranked on a five-point scale, with the score being the sum of these responses. The PRA scale measures concerns and worries that are specific to pregnancy and childbirth. The scoring on this scale ranges from 10 to 40. These assessments will be done at (i) Baseline visit - between 14 and 28 weeks (ii) Second visit: 37–38 weeks.

The levels of the unbound cortisol hormone in blood is reliably reflected by salivary cortisol levels [41]. Maternal saliva samples will be collected for cortical analyses at (i) Baseline visit - between 14 and 28 weeks (ii) Second visit: 37–38 weeks.

The salivary samples will be stored until assayed at −70 °C, in a Biorepository facility at the St. Johns Research Institute. The evaluation of the samples will be done at an NABL (National Accreditation Board for Testing and Calibration Laboratories) accredited Lab. Before assay, the samples are thawed and centrifuged for about 15 min. The cortisol levels are estimated by a competitive luminescence immunoassay with a lower limit of detection of 0.5 nmol/L [42]. The infant will be assessed at 3, 8 and 12 months for developmental indices by the Bayley Scales of Infant and Toddler Development (BSID), Third edition which measures both motor and mental milestones [43]. This will be accomplished by means of home visits. The Bayley scales cover five major areas of development - cognitive, communication, physical, socio-emotional and adaptive. The scales to measure the cognitive and physical areas of development will be used. The weight and length of the infant will also be recorded during these visits.

All the psychometric measurement scales and BSID will be translated into the local language ‘Kannada’ using the standardised WHO translation and back-translation protocol (WHO) and pre-tested before being finalized [44].

The Research team will receive training for using these scales from a team of experts at CSI Holdsworth Memorial Hospital, Mysore.

Confounders

The confounding factors that influence the outcome variables- cortisol level and infant growth and development will be taken into account at the time of data analysis. These are enlisted in Fig. 1. Data on maternal educational level, occupation, socio-economic status, pregnancy risk factors will be obtained from the baseline information. The gestational age will be calculated from the last menstrual period as reported by the study participants. Information on birth weight will be obtained from medical records. Information on breastfeeding, post-natal psychological well-being and post-natal depression will be collected at the 10th day visit after birth. Maternal psychological well being will be assessed by using the General Health Questionaiire-30 which measures one’s ability for effective daily functioning [45]. This contains 30 questions which are answered on a 4- point scale. Post natal depression will be measured by using the 10-item Edinburgh Postnatal Depression Scale (EPDS) [46].

Data management and analysis

Data management will be done using Microsoft Access which will be transported to SPSS Version 24 for analysis. Descriptive statistics will be used to summarize the socio-demographic characteristics, obstetric variables, perinatal outcomes, scores obtained from measurement scales and cortisol level estimates. Confounding variables will be tested for their relationships with the exposure (Maternal anxiety, depression and salivary cortisol level) and outcome (Mental Development Index and Psychomotor Development Index) by means of correlations (Pearson correlation coefficient or Spearman rank-order correlations where appropriate) and regression analysis. Only those variables that are significantly related to the exposure and outcome will be included in further analyses. Logistic Regression Model will be used to determine the association between the exposure variables and outcome which will be reported as Odd’s Ratio (OR) and 95% confidence intervals (CI). The statistical significance for all the tests will be assumed to be at the level of P < .05.

Ethical considerations

The protocol for the proposed study has been reviewed and approved by the institutional ethical review board (IEC) at Bengaluru campus of IIPH-H. All the study participants will be required to provide a written informed consent in the local language.

Discussion

Our study findings could add to the growing evidence that maternal psychological distress during pregnancy adversely influences growth and development in the offspring and subsequent development of the child. While maternal anxiety and depression can be measured by using self reporting instruments, estimation of maternal endogenous cortisol levels could serve as a biomarker of prenatal psychological stress. Perhaps a combination of the above mentioned subjective and objective measures could give a better measure of mental stress during the antenatal period.

The findings from this study could be used to focus upon the burden of mental health problems during pregnancy with its adverse consequences and to consider steps to scale up prenatal mental health services in both public as well as private health settings. The study findings could be used to plan for evidence based- interventions such as stress reduction programmes to reduce maternal anxiety and depression during pregnancy, particularly in the Indian scenario.

References

  1. Bennett HA, Einarson A, Taddio A, Koren G, Einarson TR. Prevalence of depression during pregnancy: a systematic review. Obstet Gynecol. 2004;103:698–709.

    Article  PubMed  Google Scholar 

  2. Guler O, Sahin FK, Emul HM, Ozbulut O, Gecici O, Uguz F, Gezginc K, Zeytinci I, Karatayli S, Askin R. The prevalence of panic disorder in pregnant women during the third trimester of pregnancy. Compr Psychiatry. 2008;49:154–8.

    Article  PubMed  Google Scholar 

  3. Kurki T, Hiilesmaa V, Raitasalo R, Mattila H, Ylikorkala O. Depression and anxiety in early pregnancy and risk for preeclampsia. Obstet Gynecol. 2000;95:487–90.

    CAS  PubMed  Google Scholar 

  4. Barker D. Mothers, babies, and health in later life. 2nd ed. Edinburgh, UK: Churchill Livingstone; 1998.

    Google Scholar 

  5. Huizink AC, Robles de Medina PG, Mulder EJ, Visser GH, Buitelaar JK. Stress during pregnancy is associated with developmental outcome in infancy. J Child Psychol Psychiatry. 2003;44:810–8.

    Article  PubMed  Google Scholar 

  6. Servili C, Medhin G, Hanlon C, Tomlinson M, Worku B, Baheretibeb Y, Dewey M, Alem A, Prince M. Maternal common mental disorders and infant development in Ethiopia: the P-MaMiE Birth Cohort. BMC Public Health 2010; 12;10:693.

  7. Davis EP, Sandman CA. The timing of prenatal exposure to maternal cortisol and psychosocial stress is associated with human infant cognitive development. Child Dev. 2010;81:131–48.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Martini J, Knappe S, Beesdo-Baum K, Lieb R, Wittchen HU. Anxiety disorders before birth and self-perceived distress during pregnancy: associations with maternal depression and obstetric, neonatal and early childhood outcomes. Early Hum Dev. 2010;86:305–10.

    Article  PubMed  Google Scholar 

  9. Zijlmans MA, Riksen-Walraven JM, de Weerth C. Associations between maternal prenatal cortisol concentrations and child outcomes: a systematic review. Neurosci Biobehav Rev. 2015;53:1–24.

    Article  CAS  PubMed  Google Scholar 

  10. Munck A, Guyre PM, Holbrook NJ. Physiological functions of glucocorticoids in stress and their relation to pharmacological actions. Endocr Rev. 1984;5:25–44.

    Article  CAS  PubMed  Google Scholar 

  11. Mastorakos G, Ilias I. Maternal and fetal hypothalamic-pituitary-adrenal axes during pregnancy and postpartum. Annals of the New York Academy of Science. 2003;997:136–49.

    Article  CAS  Google Scholar 

  12. Kapoor A, Dunn E, Kostaki A, Andrews MH, Matthews SG. Fetal programming of the hypothalamic-pituitary-adrenal function: prenatal stress and glucocorticoids. J Physiol. 2006;572:31–44.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Uno H, Lohmiller L, Thieme C, Kemnitz JW, Engle MJ, Roecker EB, Farrell PM. Brain damage induced by prenatal exposure to dexamethasone in fetal macaques. I. Hippocampus. Brain Res Dev Brain Res. 1990;53:157–67.

    Article  CAS  PubMed  Google Scholar 

  14. Bruschettini M, van den Hove DLA, Gazzolo D, Steinbusch HWM, Blanco CE. Lowering the dose of antenatal steroids: the effects of a single course of betamethasone on somatic growth and brain cell proliferation in the rat. Am J Obstet Gynecol. 2006;194:1341–6.

    Article  CAS  PubMed  Google Scholar 

  15. Lingas R, Dean F, Matthews SG. Maternal nutrient restriction (48 hours) modifies brain corticosteroid receptor expression and endocrine function in the fetal guinea pig. Brain Res. 1999;846:236–42.

    Article  CAS  PubMed  Google Scholar 

  16. Go KS, Lingas R, Wheeler MB, Irwin DM, Matthews SG. Decreased CRH mRNA expression in the fetal guinea pig hypothalamus following maternal nutrient restriction. Brain Res. 2001;896:179–82.

    Article  CAS  PubMed  Google Scholar 

  17. Clarke AS, Wittwer DJ, Abbott DH, Schneider ML. Long-term effects of prenatal stress on HPA axis activity in juvenile rhesus monkeys. Dev Psychobiol. 1994;27:257–69.

    Article  CAS  PubMed  Google Scholar 

  18. Henry C, Kabbaj M, Simon H, Le Moal M, Maccari S. Prenatal stress increases the hypothalamo-pituitary-adrenal axis response in young and adult rats. J Neuroendocrinol. 1994;6:341–5.

    Article  CAS  PubMed  Google Scholar 

  19. Kanitz E, Otten W, Tuchscherer M, Manteuffel G. Effects of prenatal stress on corticosteroid receptors and monoamine concentrations in limbic areas of suckling piglets (Sus scrofa) at different ages. J Vet Med A Physiol Pathol Clin Med. 2003;50:132–9.

    Article  CAS  PubMed  Google Scholar 

  20. Challis JRG, Matthews SG, Gibb W, Lye SJ. Endocrine and paracrine regulation of birth at term and preterm. Endocr Rev. 2000;21:514–55.

    CAS  PubMed  Google Scholar 

  21. Welberg LAM, Thrivikraman KV, Plotsky PM. Chronic maternal stress inhibits the capacity to up-regulate placental 11B-hydroxysteroid hydrogenase type II activity. J Endocrinol. 2005;186:7–12.

    Article  Google Scholar 

  22. Pluess M, Bolten M, Pirke KM, Hellhammer D. Maternal trait anxiety, emotional distress, and salivary cortisol in pregnancy. Biol Psychol. 2010;83:169–75.

    Article  PubMed  Google Scholar 

  23. Petraglia F, Hatch M, Lapinski R, Stomati M, Reis FM, Cobellis L, Berkowitz GS. Lack of effect of psychosocial stress on maternal corticotropin-releasing factor and catecholamine levels at 28 weeks gestation. J Soc Gynecol Investig. 2001;8:83–8.

    Article  CAS  PubMed  Google Scholar 

  24. Harville EW, Savitz DA, Dole N, Herring AH, Thorp JM. Stress questionnaires and stress biomarkers during pregnancy. J Women's Health. 2009;18:1425–33.

    Article  Google Scholar 

  25. LeWinn K, Stroud L, Molnar B, Ware JH, Koenen KC, Buka SL. Elevated maternal cortisol levels during pregnancy are associated with reduced childhood IQ. Int J Epidemiol. 2009;38:1700–10.

    Article  PubMed  PubMed Central  Google Scholar 

  26. DiPietro JA, Novak MF, Costigan KA, Atella LD, Reusing SP. Maternal psychological distress during pregnancy in relation to child development at age two. Child Dev. 2006;77:573–87.

    Article  PubMed  Google Scholar 

  27. Keim SA, Daniels JL, Dole N, Herring AH, Siega-Riz AM, Scheidt PC. A prospective study of maternal anxiety, perceived stress, and depressive symptoms in relation to infant cognitive development. Early Hum Dev. 2011;87:373–80.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Dipietro JA. Maternal stress in pregnancy: considerations for fetal development. J Adolesc Health. 2012;51(Suppl 2):S3–8.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Buitellar JK, Huizink AC, Mulder EJ, Robles de Medina PG, Visser GHA. Prenatal stress and congnitive development and temperament in infants. Neurobiol. Aging. 2003;23:53–60.

    Article  Google Scholar 

  30. Bergman K, Glover V, Sarkar P, Abbott DH, O’Connor TG. In utero cortisol and testosterone exposure and fear reactivity in infancy. Horm Behav. 2010;57:306–12.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Baibazarova E, van de Beek C, Cohen-Kettenis PT, Buitelaar J, Shelton KH, van Goozen SH. Influence of prenatal maternal stress, maternal plasma cortisol and cortisol in the amniotic fluid on birth outcomes and child temperament at 3 months. Psychoneuroendocrinology. 2013;38:907–15.

    Article  CAS  PubMed  Google Scholar 

  32. Patel V, Prince M. Maternal psychological morbidity and low birth weight in India. Br J Psychiatry. 2006;188:284–5.

    Article  PubMed  Google Scholar 

  33. Fernandes M, Stein A, Srinivasan K, Menezes G, Ramchandani PG. Foetal exposure to maternal depression predicts cortisol responses in infants: findings from rural South India. Child Care Health Dev. 2015;41:677–86.

    Article  CAS  PubMed  Google Scholar 

  34. Bhat A, Chowdayya R, Selvam S, Khan A, Kolts R, Srinivasan K. Maternal prenatal psychological distress and temperament in 1-4 month old infants - a study in a non-western population. Infant Behav Dev. 2015;39:35–41.

    Article  PubMed  Google Scholar 

  35. Husain N, Munshi T, Jafri F, Husain M, Parveen A, Saeed Q, Tomenson B, Naeem F, Chaudhry N. Antenatal depression is not associated with low-birth weight: a study from urban Pakistan. Front Psychiatry. 2014;5:175.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Golbasi Z, Kelleci M, Kisacik G, Cetin A. Prevalence and correlates of depression in pregnancy among Turkish women. Matern Child Health J. 2010;14:485–91.

    Article  PubMed  Google Scholar 

  37. Leigh B, Milgrom J. Risk factors for antenatal depression, postnatal depression and parenting stress. BMC Psychiatry. 2008;8:24.

    Article  PubMed  PubMed Central  Google Scholar 

  38. Evans J, Heron J, Francomb H, Oke S, Golding J. Cohort study of depressed mood during pregnancy and after childbirth. BMJ. 2001;323:257–60.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Kessler RC, Barker PR, Colpe LJ, Epstein JF, Gfroerer JC, Hiripi E, Howes MJ, Normand SL, Manderscheid RW, Walters EE, et al. Screening for serious mental illness in the general population. Arch Gen Psychiatry. 2003;60:184–9.

    Article  PubMed  Google Scholar 

  40. Rini CK, Dunkel Schetter C, Wadhwa PD, Sandman CA. Psychological adaptation and birth outcomes: the role of personal resources, stress, and sociocultural context in pregnancy. Health Psychol. 1999;18:333–45.

    Article  CAS  PubMed  Google Scholar 

  41. Meulenberg PMM, Hofman JA. The effect of oral contraceptive use and pregnancy on the daily rhythm of cortisol and cortisone. Clin ChimActa. 1990;190:211–22.

    Article  CAS  Google Scholar 

  42. Westermann J, Demir A, Herbst V. Determination of cortisol in saliva and serum by a luminescence-enhanced enzyme immunoassay. Clin Lab. 2004;50:11–24.

    CAS  PubMed  Google Scholar 

  43. Bayley N. Bayley scales of infant and toddler development. third ed. Harcourt Assessment, Inc: San Antonio, TX; 2006.

    Google Scholar 

  44. Doe J. Process of translation and adaptation of instruments. Available on: http://www.who.int/substance_abuse/research_tools/translation/en/. Accessed 20 Feb 2016.

  45. Goldberg D, Williams P. A user’s guide to the general health questionnaire. NFER-Nelson: Windsor; 1988.

    Google Scholar 

  46. Cox JL, Holden JM, Sagovsky R. Detection of postnatal depression. Development of the 10-item Edinburgh postnatal depression scale. Br J Psychiatry. 1987;150:782–6.

    Article  CAS  PubMed  Google Scholar 

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Acknowledgements

Our sincere thanks to the Department of Health and Family Welfare, Government of Karnataka for granting permission to conduct the study at Jaya Nagar General Hospital. I am grateful to Dr. Murali Krishna, a trained psychiatrist from CSI Holdsworth Memorial Hospital,Mysore for his professional inputs. I am also thankful to Dr. Suresh Shapeti and Mr. Ramesh for their help in facilitating administrative approvals for the study.

Funding

The study is funded by an Intermediate Fellowship by the Wellcome Trust DBT India Alliance (Clinical and Public Health Research Fellowships).

Availability of data and materials

Requests for the datasets generated during and/or analyzed during the current study can be directed to the corresponding author. The Institutional ethics committee reviewing at IIPH-Bangalore will decide on providing the data.

Author information

Authors and Affiliations

  1. Wellcome Trust DBT India Alliance Intermediate fellow in clinical and public health, Indian Institute of Public Health-Bengaluru Campus, Public Health Foundation of India, SIHFW Campus, First Cross, Magadi road, Bengaluru, Karnataka, 560023, India

    Anita Nath & Giridhara R. Babu

  2. Indian Institute of Public Health Hyderabad-Bengaluru Campus, South, Public Health Foundation of India, Plot # 1, Rd Number 44, Masthan Nagar, Kavuri Hills, Madhapur, Hyderabad, Telangana, 500033, India

    Gudlavalleti Venkata Satyanarayana Murthy

  3. Department of Ob/Gyn, Centre for Perinatal and Reproductive Medicine, the Midwifery School, The University of Perugia, Perugia, Italy

    Gian Carlo Di Renzo

  4. The Permanent International and European School of Perinatal, Neonatal and Reproductive Medicine, Florence, Santa Maria della Misericordia University Hospital, 06132 San Sisto, Perugia, Italy

    Gian Carlo Di Renzo

  5. International Center for Eye Health, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK

    Gudlavalleti Venkata Satyanarayana Murthy

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  1. Anita Nath
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Contributions

AN is the principal investigator of this study and is awarded the intermediate fellowship from Wellcome Trust DBT India alliance. She has conceptualized, designed and written the manuscript through all stages of preparation and submission. GVS has reviewed the application from the conceptualization stage and has contributed to each version of the manuscript. GRB has contributed to each version of the revision and participated in giving inputs in conceptualizing the paper. GCDR has critically reviewed the manuscript at each step till finalization. All authors read and approved the final manuscript.

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Correspondence to Anita Nath.

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Ethics approval and consent to participate

The study was reviewed and approved by the institutional ethical review board (IEC) at Bangalore campus of IIPH-H (Approval number IIPHHB/TRCIEC/118/2017), dated 31 st May 2017. Only participants willing to participate voluntarily and those who have provided written informed consent will be enrolled.

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Nath, A., Murthy, G.V.S., Babu, G.R. et al. Effect of prenatal exposure to maternal cortisol and psychological distress on infant development in Bengaluru, southern India: a prospective cohort study. BMC Psychiatry 17, 255 (2017). https://doi.org/10.1186/s12888-017-1424-x

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Keywords

  • Pregnancy
  • Mental stress
  • Prenatal
  • Depression
  • Anxiety
  • Cortisol
  • Infant development

BMC Psychiatry

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