Evidence map›Paper›PMID 42577391›Full record

ArticleHealth science reports2026

The Association Between Number of Chronic Conditions and Benzodiazepine Prescribing in Region Stockholm, Sweden: A Total Population-Based Cohort Study.

Caroline Kappelin, Caroline Wachtler, Gunnar Ljunggren, Axel C Carlsson

Abstract read
In one paragraph

Article in Health science reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited 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

The trial behind it

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Caroline KappelinDepartment of Neurobiology, Care Sciences and Society (NVS) Division of Family Medicine and Primary Care, Karolinska Institute Huddinge Sweden.ORCID https://orcid.org/0000-0003-4866-2452
Caroline WachtlerDepartment of Neurobiology, Care Sciences and Society (NVS) Division of Family Medicine and Primary Care, Karolinska Institute Huddinge Sweden.ORCID https://orcid.org/0000-0002-4792-8119
Gunnar LjunggrenAcademic Primary Health Care Centre, Region Stockholm Stockholm Sweden.
Axel C CarlssonDepartment of Neurobiology, Care Sciences and Society (NVS) Division of Family Medicine and Primary Care, Karolinska Institute Huddinge Sweden.ORCID https://orcid.org/0000-0001-6113-0472

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: The aim of this study was to examine the association between an increasing number of chronic conditions and prescribing of benzodiazepines. Methods: Conditional logistic regression was used to study the association between the number of chronic conditions accumulated during a 4-year period and risk of having ≥ 2 collected prescriptions of benzodiazepines during the 2 following years in two cohorts before and during the COVID-19 pandemic. Data were collected from the VAL databases for the total adult population in Stockholm, Sweden between January 1, 2014 and December 31, 2019, and January 1, 2016 and December 31, 2021. Results: Of the total population with approximately 1.3 million individuals in each cohort, 3.8% of the women and 2.2% of the men had ≥ 2 collected prescriptions of benzodiazepines before the COVID-19 pandemic. During the COVID-19 pandemic, 3.1% of the women and 1.8% of the men had ≥ 2 collected prescriptions of benzodiazepines. The risk of having ≥ 2 collected prescriptions of benzodiazepines significantly increased in individuals with two chronic conditions, compared to the reference group, OR 3.25 (3.25-3.25) for women, and OR 3.57 (CI 3.57-3.58) for men before COVID-19. The risk increased with an increasing number of chronic conditions, OR 11.41 (CI 11.40-11.42) for women and OR 13.26 (CI 13.25-13.28) for men with 5-9 conditions before COVID-19. Results were similar during the COVID-19 pandemic. The association regarded both ongoing and new prescriptions. Conclusion: In this study, individuals with an increasing number of chronic conditions were more likely to receive both ongoing and newly initiated benzodiazepine prescriptions. While the appropriateness of prescribing was not assessed in this study, these findings can inform healthcare providers and policymakers about the need for strategies to reduce such prescribing in this population.

Indexed as

benzodiazepinescohort studymultimorbiditypotentially inappropriate prescribing

Identifiers

PMID42577391
PMCPMC13454220

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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.