Evidence map›Paper›PMID 33620003›Full record

ArticleScandinavian journal of public health2022

Antidepressant use in Sweden: an intersectional multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA).

Hanna Ljungman, Maria Wemrell, Kani Khalaf, Raquel Perez-Vicente, George Leckie, Juan Merlo

Abstract read
In one paragraph

Article in Scandinavian journal of public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–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

12 citing papers in PubMed.

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  5. Childhood family income and medication use in youth.Journal of epidemiology and community health · 2025
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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

6 authors.

Hanna LjungmanUnit for Social Epidemiology, Lund University, Sweden.ORCID https://orcid.org/0000-0002-7341-7080
Maria WemrellUnit for Social Epidemiology, Lund University, Sweden.ORCID https://orcid.org/0000-0002-3186-9054
Kani KhalafUnit for Social Epidemiology, Lund University, Sweden.ORCID https://orcid.org/0000-0002-6749-7037
Raquel Perez-VicenteUnit for Social Epidemiology, Lund University, Sweden.
George LeckieUnit for Social Epidemiology, Lund University, Sweden.
Juan MerloUnit for Social Epidemiology, Lund University, Sweden.ORCID https://orcid.org/0000-0001-8379-9708

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAntidepressants are among the most commonly prescribed drugs in Sweden. However, we lack detailed knowledge on the socioeconomic and demographic distribution of antidepressant use in the population. To fill this gap, we performed an intersectional multilevel analysis of individual heterogeneity and discriminatory accuracy.

methodsAnalysing all Swedish residents older than 10 years (

resultsThe absolute risk of antidepressant use ranged between 0.93% and 24.78% among those without a psychiatric diagnosis, and between 21.41% and 77.56% among those with a psychiatric diagnosis. Both the variance partitioning coefficient of 41.88% and the area under the receiver operating characteristic curve of 0.81 were considerable.

conclusionsBesides overt psychiatric diagnoses, our study shows that antidepressant use is mainly conditioned by age, which might express the embodiment of socioeconomic conditions across the individual life course. Our analysis provides a detailed and highly discriminatory mapping of the heterogeneous distribution of antidepressant use in the Swedish population, which may be useful in public health management.

Indexed as

Antidepressive AgentsIncomeGender IdentityHumansMultilevel AnalysisSocioeconomic FactorsSwedenAntidepressive AgentsAntidepressantsintersectionalityMAIHDAsocioeconomic factorsSweden

Identifiers

PMID33620003
PMCPMC9096592

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