Evidence map›Paper›PMID 28761500›Full record

ArticleClinical practice and epidemiology in mental health : CP & EMH2017

Predicting Factors of Depression, Antidepressant Use and Positive Response to Antidepressants in Perinatal and Postpartum Women.

Huyen Vu, Fadia T Shaya

Abstract read
In one paragraph

Article in Clinical practice and epidemiology in mental health : CP & EMH, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Anxiety and Depression Among Women Living with HIV: Prevalence and Correlations.Clinical practice and epidemiology in mental health : CP & EMH · 2020
    Article
  5. Article
  6. 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

2 authors.

Huyen VuUniversity of Maryland School of Pharmacy, Department of Pharmacy Practice and Science, Baltimore, MD, USA.
Fadia T ShayaUniversity of Maryland School of Pharmacy, Department of Pharmaceutical Health Services Research Baltimore, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the United States, there is a disparity in knowledge of nationwide depression prevalence, the antidepressant use and the antidepressant responses during perinatal/postpartum periods.

objectiveThis study investigated the predicting factors of depression, antidepressant use and positive antidepressant response during the perinatal/postpartum periods.

methodThe 2007-2012 National Health and Nutrition Examination Surveys (NHANES) were combined to identify adult pregnant women, those within the 18-month postpartum period (n=492) and their depression statuses

resultsPND/PPD individuals had higher rates of mental health visits. No predicting factor for developing PND/PPD was shown. Antidepressant users were significantly older with insurance and recent health checkups/ mental visits. Being below the poverty level and having some health care accessibility are predictors for being on antidepressants. Recent non-illicit drug use is a predictor for PND/PPD symptom improvement while on antidepressants.

conclusionThe group of those with social-economic disadvantages was more likely to be on antidepressants for PND/PPD. Illicit drug users were less likely to show improvement with antidepressants. The safety and efficacy of antidepressant use during this period is controversial. More studies need to focus on the barriers involving antidepressant treatments, the safety and outcomes of antidepressants for PND/PPD management.

Indexed as

AntidepressantDepressionIllicit drugPerinatal womenPostpartum women

Identifiers

PMID28761500
PMCPMC5510557

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Registered trials

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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.