Evidence map›Paper›PMID 37441003›Full record

ArticleSSM. Mental health2022

Effects of a maternal psychosocial intervention on hair derived biomarkers of HPA axis function in mothers and children in rural Pakistan.

Victoria Baranov, Allison Frost, Ashley Hagaman, Julian G Simmons, Muhammad S Manzoor, Pietro Biroli, Sonia Bhalotra, Atif Rahman, Siham Sikander, Joanna Maselko

Open access · goldAbstract read
In one paragraph

Article in SSM. Mental health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 33% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Trial
  2. Review
  3. Review
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 8 institutions in 5 countries.

Victoria BaranovDepartment of Economics, Faculty of Business and Economics, The University of Melbourne, Australia.
Allison FrostCarolina Population Center, University of North Carolina, Chapel Hill, USA.
Ashley HagamanSocial Behavioral Sciences, Yale School of Public Health, Yale University, USA.
Julian G SimmonsDepartment of Psychiatry, Melbourne Neuropsychiatry Center, The University of Melbourne and Melbourne Health, Australia.
Muhammad S ManzoorDepartment of Economics and Finance, La Trobe Business School, La Trobe University, Australia.
Pietro BiroliDepartment of Economics, University of Zurich, Switzerland.
Sonia BhalotraDepartment of Economics, University of Warwick, UK.
Atif RahmanDepartment of Primary Care and Mental Health, Institute of Population Health Sciences, University of Liverpool, UK.
Siham SikanderHuman Development Research Foundation, Islamabad, Pakistan.
Joanna MaselkoDepartment of Epidemiology, Gillings School of Public Health, University of North Carolina, Chapel Hill, USA.
The University of Melbourne · AUUniversity of North Carolina at Chapel Hill · USHuman Development Research Foundation · PKLa Trobe University · AUUniversity of Liverpool · GBUniversity of Warwick · GBUniversity of Zurich · CHYale University · US

Funding

POPULATION STUDIEST32HD007168 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ELIZABETH A FRANKENBERG · 1985 to 2026
$13.8M
Impact of Perinatal Depression treatment on child developmental outcomesR01HD075875 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MASELKO, JOANNA · 2014 to 2024
$5.2M
South Asian Hub for Advocacy, Research & Education on Mental Health (SHARE)U19MH095687 · NIMH · LONDON SCH/HYGIENE & TROPICAL MEDICINE · PI RAHMAN, ATIF, SHIDHAYE, RAHUL RAMCHANDRA · 2011 to 2015
$2.9M
Opportunities for suicide prevention integration into task-shifted mental health interventions in low-resourced contextsK01MH125142 · NIMH · YALE UNIVERSITY · PI HAGAMAN, ASHLEY K · 2021 to 2025
$964k
Impact of treating perinatal depression on infant HPA axis functionR03HD097434 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MASELKO, JOANNA · 2019 to 2020
$156k
NICHD NIH HHS R01 HD075875NICHD NIH HHS R03 HD097434NICHD NIH HHS T32 HD007168NIMH NIH HHS K01 MH125142NIMH NIH HHS U19 MH095687
6 · The paper itself

Abstract

Objective: Disruptions in the hypothalamic-pituitary-adrenal (HPA) axis are thought to be key neuroendocrine mechanisms involved in psychopathology and may have intergenerational impacts. Hair-derived HPA hormones offer a measure of long-term HPA axis activity that may be useful in assessing maternal and infant health. Building on a community-based randomized control trial of a perinatal depression intervention in Pakistan, we examine intervention effects on HPA axis activity in a subsample of mothers and infants. Methods: HPA axis activity was assessed using hair-derived cortisol, cortisone, and dehydroepiandosterone (DHEA). Hair samples were collected from mother-child dyads at one year postpartum from prenatally depressed women randomized to a cognitive-behavioral intervention (n = 35 dyads) or to enhanced usual care (n = 37 dyads), and from a comparison sample of women who screened negative for depression in pregnancy (n = 35 dyads). Results: The intervention group had 38 percent Conclusions: Results suggest that the perinatal depression intervention has effects on HPA axis activity in both mothers and children, providing evidence that treating maternal depression may impact physiological stress system functioning intergenerationally. In addition, utilizing hair-derived biomarkers of HPA-axis activity is a potentially useful clinical indicator of intervention impacts on the neuroendocrine system.

Indexed as

CortisolDHEAHPA axisInfancyInterventionLow and middle income countriesMaternal depressionRCT

Identifiers

PMID37441003
PMCPMC10338030
OpenAlexW4220717863

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.