Evidence map›Paper›PMID 36060920›Full record

ArticleIranian journal of pharmaceutical research : IJPR2022

Prevalence and Predicting Risk Factors of Polypharmacy in Azar Cohort Population.

Afshin Gharekhani, Mohammadhossein Somi, Alireza Ostadrahimi, Ayda Hatefi, Arash Haji Kamanaj, Sina Hassannezhad, Elnaz Faramarzi

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Article in Iranian journal of pharmaceutical research : IJPR, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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0cells of the map it votes in
6citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Afshin GharekhaniDepartment of Clinical Pharmacy (Pharmacotherapy), Sina Hospital, Tabriz University of Medical Sciences, Tabriz, Iran.
Mohammadhossein SomiLiver and Gastrointestinal Diseases Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Alireza OstadrahimiNutrition Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Ayda HatefiStudent Research Committee, Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran.
Arash Haji KamanajStudent Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran.
Sina HassannezhadStudent Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran.
Elnaz FaramarziLiver and Gastrointestinal Diseases Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.ORCID https://orcid.org/0000-0003-4128-433X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: As polypharmacy has some medically negative impacts, it has become a challenging issue for public health and affected people. Therefore, we decided to investigate the prevalence of polypharmacy and its predicting risk factors in the Azar cohort population. Methods: In this cross-sectional population-based cohort study, the prevalence of polypharmacy was evaluated in 15,001 subjects who participated in the Azar cohort study. We measured demographic characteristics (age, gender, socioeconomic status, smoking status, marital status, and education level), physical activity level, body mass index (BMI), blood pressure, multimorbidity (coexistence of two or more chronic diseases (CDs)), and polypharmacy status (a daily intake of five or more medicines for a minimum of 90 days). Results: Based on our results, 9.51% of the population had polypharmacy. The five most prescribed medications were drugs acting on the cardiovascular system (19.9%), central nervous system (16.7%), endocrine system (13.3%), NSAIDs (11.5%), and drugs used for musculoskeletal and joint diseases (11.4%). Being female, illiterate, and having the lowest tertile of physical activity level significantly increased the risk of polypharmacy. The risk of polypharmacy was 49.36 times higher in patients with four or more CDs than in those without. Conclusions: Our study emphasized the importance of routine monitoring to evaluate polypharmacy among those aged 35 to 59 and the elderly. Physicians should carefully assess drug suitability, especially in multimorbid and obese patients, to prevent excessive polypharmacy and its potentially negative impacts.

Indexed as

Cohort StudyMultimorbidityPhysical Activity LevelPolypharmacy

Identifiers

PMID36060920
PMCPMC9420226

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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.