Evidence map›Paper›PMID 32529091›Full record

ArticleHealth psychology research2020

Psychological predictors of the use of complementary and alternative medicines during pregnancy within a sample of Swiss women.

Jérôme Blondé, Olivier Desrichard, Barbara Kaiser

Open access · goldAbstract read
In one paragraph

Article in Health psychology research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

2 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. 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

3 authors at 2 institutions in 1 country.

Jérôme BlondéFaculty of Psychology and Educational Sciences, University of Geneva.
Olivier DesrichardFaculty of Psychology and Educational Sciences, University of Geneva.
Barbara KaiserSchool of Health Sciences, University of Applied Sciences and Arts Western Switzerland, Geneva, Switzerland.
University of Geneva · CHHES-SO Genève · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Past works have witnessed increased prevalence of complementary and alternative medicines (CAM) among women during pregnancy. This study aimed to identify psychological antecedents underlying CAM use through the exploration of various predictors. Drawing upon the literature on the use of CAM in contexts unrelated to pregnancy, this research explored the role of various predictors: perceived stress, beliefs about medicine, health locus of control (HLOC), health literacy, bullshit receptivity, and belief in conspiracy theories (CT). 376 Swiss women were recruited to complete a web-based questionnaire in which the use of different kinds of CAM was investigated. We performed hierarchical regression analyses with backward method to assess the overall variance explained by the predictors, as well as their unique contributions. We measured the number of CAM used during last pregnancy and frequency of use. Analyses showed that CAM use was positively associated with perceived stress, beliefs about medicine, internal HLOC, and belief in CT. In contrast, negative relationships were found with external HLOC, bullshit receptivity, and health literacy. By illuminating such factors, this research contributed to explaining why women may be tempted to choose CAM in place of conventional medicine, which may be of particular interest for health professionals in the planning of communication strategies aimed at limiting risks associated to their use during pregnancy.

Indexed as

BeliefsComplementary and alternative medicines (CAM)Locus of controlPregnancyStress

Identifiers

PMID32529091
PMCPMC7270638
OpenAlexW3030826055

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.