Evidence map›Paper›PMID 35042543›Full record

ArticleBMC psychology2022

The pattern of medication use, and determinants of the prevalence of polypharmacy among patients with a recent history of depressive disorder: results from the pars cohort study.

Mehrnoosh Ghaed-Sharaf, Sanam Hariri, Hossein Poustchi, Maryam Nourollahi, Sara Khani, Erfan Taherifard, Zahra Mohammadi, Maryam Hadipour, Rasoul Sabaei, Abdullah Gandomkar and 2 more

Abstract read
In one paragraph

Article in BMC psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Article
  4. 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

12 authors.

Mehrnoosh Ghaed-SharafMPH Department, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
Sanam HaririLiver and Pancreatobiliary Diseases Research Center, Digestive Diseases Research Institute, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Hossein PoustchiLiver and Pancreatobiliary Diseases Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
Maryam NourollahiStudent Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran.
Sara KhaniStudent Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran.
Erfan TaherifardStudent Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran.
Zahra MohammadiLiver and Pancreatobiliary Diseases Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
Maryam HadipourHealth Policy Research Center, Institute of Health, Shiraz University of Medical Sciences, Shiraz, Iran.
Rasoul SabaeiDepartment of Psychology, Faculty of Medicine, Najafabad Branch, Islamic Azad University, Isfahan, Iran.
Abdullah GandomkarNon-Communicable Disease Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Fatemeh MalekzadehNon-Communicable Disease Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Hossein Molavi VardanjaniMPH Department, School of Medicine, Research Center for Traditional Medicine and History of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran. molavih@sums.ac.ir.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInappropriate medication use among individuals with depressive disorders (DD) is a rising public health challenge. We aimed to investigate the polypharmacy and its determinants among individuals with DD in a less developed region, and evaluate the pattern of medication use in this population.

methodsData was extracted from Pars Cohort Study (PCS) between 2016 and 2019. Participants were asked to bring all the medication they were using regularly, and history of DD during the last 12 months prior to study was obtained. The Anatomical Therapeutic Chemical classification was applied and polypharmacy was defined as concurrent use of five or more medications. Logistic regression models were developed to estimate the associations between polypharmacy and DD, adjusted for relevant covariates. The prevalence of consumption of each drug class was estimated among males, females, and elders. Logistic regression was applied and the adjusted odds ratio (OR) and its 95% confidence interval (CI) were estimated.

resultsA total of 9264 participants with a mean age of 52.6 (SD: 9.7) were enrolled. The prevalence of polypharmacy was 22.6% [95% CI (20.7-24.6)]. The most common drug classes were genitourinary system (55.4%) and nervous system (29.1%) medication, respectively. Recent history of DD was reported among 19.4% (n = 1795) participants, the majority of whom were females. Factors associated with polypharmacy include female gender (OR: 1.51), Fars ethnicity (OR: 1.52), lower physical activity (OR: 1.74), and higher socioeconomic status (OR: 1.40). The prevalence of antidepressant use among males was higher than females (P < 0.001).

conclusionThe prevalence of polypharmacy is high among patients with a recent history of depressive disorder. Females, individuals with higher socioeconomic status and lower physical activity, and those who use tobacco are more likely to be polymedicated. Surveillance measures need to be established to monitor the patterns of medication use among individuals with depressive disorders.

Indexed as

Depressive DisorderPolypharmacyAgedCohort StudiesFemaleHumansLogistic ModelsMaleMiddle AgedPrevalenceAntidepressantsDepressive disordersMedication usePolypharmacyPrevalence

Identifiers

PMID35042543
PMCPMC8767713

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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.