Evidence map›Paper›PMID 29776353›Full record

ArticleBMC psychiatry2018

Depression and its psychosocial risk factors in pregnant Kenyan adolescents: a cross-sectional study in a community health Centre of Nairobi.

Judith Osok, Pius Kigamwa, Ann Vander Stoep, Keng-Yen Huang, Manasi Kumar

Open access · goldAbstract read
In one paragraph

Article in BMC psychiatry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
85citing papers in PubMed, 9 pooled it
11.5field-weighted citation impact, top 1% 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

85 citing papers in PubMed, 9 syntheses or guidelines pooled it, 149 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Pooled it
  9. Pooled it
  10. Trial
  11. Trial
  12. Trial
  13. Trial
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

25 more citing papers are in PubMed but not listed here.

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

5 authors at 3 institutions in 3 countries.

Judith OsokDepartment of Psychiatry, School of Medicine, College of Health Sciences, University of Nairobi, P. O. Box 20386, 00100, Nairobi, Kenya.
Pius KigamwaDepartment of Psychiatry, School of Medicine, College of Health Sciences, University of Nairobi, P. O. Box 19676 (00202), Nairobi, Kenya.
Ann Vander StoepPsychiatry & Behavioral Sciences and Epidemiology, Child Health Institute, University of Washington, 6200 NE 74th Street, Suite 210, Seattle, WA, 88115-1538, USA.
Keng-Yen HuangDepartment of Public Health and Child and Adolescent Psychiatry, New York University, New York, NY, 10016, USA.
Manasi KumarDepartment of Psychiatry, College of Health Sciences, University of Nairobi, Nairobi, 00100 (47074), Kenya. manni_3in@hotmail.com.ORCID 0000-0002-9773-8014
University of Nairobi · KENew York University · USUniversity of Washington · US

Funding

Scaling up a family strengthening EBP to reduce child disruptive behavior problems in SSAU19MH110001 · NIMH · WASHINGTON UNIVERSITY · PI MCKAY, MARY MCKERNAN · 2016 to 2020
$3.9M
Linked - Mental Health Research Training for Improved Health Outcomes in KenyaR25MH099132 · NIMH · UNIVERSITY OF NAIROBI · PI MATHAI, MUTHONI MUTHONI, RAO, DEEPA · 2012 to 2014
$785k
NIMH NIH HHS R25 MH099132NIMH NIH HHS U19 MH110001
6 · The paper itself

Abstract

backgroundAdolescent pregnancies within urban resource-deprived settlements predispose young girls to adverse mental health and psychosocial adversities, notably depression. Depression in sub-Saharan Africa is a leading contributor to years lived with disability (YLD). The study's objective was to determine the prevalence of depression and related psychosocial risks among pregnant adolescents reporting at a maternal and child health clinic in Nairobi, Kenya.

methodsA convenient sample of 176 pregnant adolescents attending antenatal clinic in Kangemi primary healthcare health facility participated in the study. We used PHQ-9 to assess prevalence of depression. Hierarchical multivariate linear regression was performed to determine the independent predictors of depression from the psychosocial factors that were significantly associated with depression at the univariate analyses.

resultsOf the 176 pregnant adolescents between ages 15-18 years sampled in the study, 32.9% (n = 58) tested positive for a depression diagnosis using PHQ-9 using a cut-off score of 15+. However on multivariate linear regression, after various iterations, when individual predictors using standardized beta scores were examined, having experienced a stressful life event (B = 3.27, P = 0.001, β =0.25) explained the most variance in the care giver burden, followed by absence of social support for pregnant adolescents (B = - 2.76, P = 0.008, β = - 0.19), being diagnosed with HIV/AIDS (B = 3.81, P = 0.004, β =0.17) and being young (B = 2.46, P = 0.038, β =0.14).

conclusionDepression is common among pregnant adolescents in urban resource-deprived areas of Kenya and is correlated with well-documented risk factors such as being of a younger age and being HIV positive. Interventions aimed at reducing or preventing depression in this population should target these groups and provide support to those experiencing greatest stress.

Indexed as

AdolescentCommunity Health CentersCross-Sectional StudiesDepressionFemaleHumansKenyaLinear ModelsMultivariate AnalysisPregnancyPregnancy in AdolescencePregnant PeoplePrevalenceRisk FactorsSocial SupportUrban PopulationAdolescent pregnanciesPrevalence of depressionPsychosocial risk factors

Identifiers

PMID29776353
PMCPMC5960084
OpenAlexW2805451719

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.