Evidence map›Paper›PMID 26428626›Full record

ArticleBMC pharmacology & toxicology2015

Prevalence, trends, patterns and associations of analgesic use in Germany.

Giselle Sarganas, Amanda K Buttery, Wanli Zhuang, Ingrid-Katharina Wolf, Daniel Grams, Angelika Schaffrath Rosario, Christa Scheidt-Nave, Hildtraud Knopf

Open access · goldAbstract read
In one paragraph

Article in BMC pharmacology & toxicology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed
14.6field-weighted citation impact, top 1% 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

56 citing papers in PubMed, 120 citations in OpenAlex.

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  9. Changes in analgesic prescriptions in Dutch general practice.Scandinavian journal of primary health care · 2024
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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

8 authors at 1 institution in 1 country.

Giselle SarganasRobert Koch Institute, Department of Epidemiology and Health Monitoring, General-Pape-Str. 64, 12101, Berlin, Germany. sarganas-margolisg@rki.de.
Amanda K ButteryRobert Koch Institute, Department of Epidemiology and Health Monitoring, General-Pape-Str. 64, 12101, Berlin, Germany. buttery.amanda@gmail.com.
Wanli ZhuangRobert Koch Institute, Department of Epidemiology and Health Monitoring, General-Pape-Str. 64, 12101, Berlin, Germany. zhuangw@rki.de.
Ingrid-Katharina WolfRobert Koch Institute, Department of Epidemiology and Health Monitoring, General-Pape-Str. 64, 12101, Berlin, Germany. wolfi@rki.de.
Daniel GramsRobert Koch Institute, Department of Epidemiology and Health Monitoring, General-Pape-Str. 64, 12101, Berlin, Germany. gramsd@rki.de.
Angelika Schaffrath RosarioRobert Koch Institute, Department of Epidemiology and Health Monitoring, General-Pape-Str. 64, 12101, Berlin, Germany. Schaffrath-rosarioa@rki.de.
Christa Scheidt-NaveRobert Koch Institute, Department of Epidemiology and Health Monitoring, General-Pape-Str. 64, 12101, Berlin, Germany. scheidt-navec@rki.de.
Hildtraud KnopfRobert Koch Institute, Department of Epidemiology and Health Monitoring, General-Pape-Str. 64, 12101, Berlin, Germany. knopfh@rki.de.
Robert Koch Institute · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite the public health relevance of analgesic use, large-scale studies on this topic in Germany are lacking. This study describes the prevalence, trends, associations and patterns of use of prescription and over-the-counter (OTC) analgesics, focusing on five of the most common agents: aspirin, diclofenac, ibuprofen, naproxen and paracetamol.

methodsData from two representative population-based surveys: The German National Health Interview and Examination Survey 1998 (GNHIES98 n = 7099) and the German Health Interview and Examination Survey for Adults 2008-2011 (DEGS1 n = 7091) was investigated. Information on all medicines consumed in the previous 7 days was collected via computer-assisted personal interviews with adults aged 18-79 years. Associations between analgesic use and socio-demographic and health-behaviour factors were analysed using logistic regression models.

resultsAnalgesic use has increased over the last decade from 19 to 21%. This was exclusively due to the rise in OTC analgesic use from 10.0 to 12.2%. Prescribed analgesic use remained constant (7.9%). Findings from DEGS1 indicate that ibuprofen is the most commonly used analgesic followed by aspirin and paracetamol. OTC analgesic use is higher among women and smokers, but lower among older adults (65-79 years). Prescribed analgesics use is higher among women, older adults, smokers and obese adults with medium or high socio- economic status. Adults performing more than 2 h/week of physical exercise use fewer analgesics. DISCUSSION: Among the adult population of Germany, the prevalence of OTC analgesic use has significantly increased over the last decade. We found differences between adults consuming OTC and prescribed analgesics (or both) concerning their health behaviour and health conditions. International direct comparison between prevalence rates of analgesic use was limited due to varying availability of analgesics between countries and to methodological differences.

conclusionsAbout one in five community dwelling adults aged 18-79 years in Germany use analgesics in a given week. Considering the potential harms of analgesic use, monitoring of prevalence, patterns and determinants of use at the population level are important steps to inform disease prevention and health promotion policies.

Indexed as

AcetaminophenAdolescentAdultAgedAge FactorsAnalgesicsAspirinDiclofenacDrug TherapyFemaleGermanyHealth SurveysHumansIbuprofenLogistic ModelsMaleAcetaminophenAnalgesicsAspirinDiclofenacIbuprofenNaproxenNonprescription Drugs

Identifiers

PMID26428626
PMCPMC4591581
OpenAlexW2135530214

What OpenQuestion holds

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LicenceCC BY
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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.