Evidence map›Paper›PMID 30572872›Full record

ArticleBMC psychiatry2018

Time trends in depression prevalence and health-related correlates: results from population-based surveys in Germany 1997-1999 vs. 2009-2012.

Julia Bretschneider, Silke Janitza, Frank Jacobi, Julia Thom, Ulfert Hapke, Tobias Kurth, Ulrike E Maske

Open access · goldAbstract read
In one paragraph

Article in BMC psychiatry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
8.3field-weighted citation impact, top 2% 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

41 citing papers in PubMed, 86 citations in OpenAlex.

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  5. Trends in depressive symptoms in Germany's adult population 2008-2023.Social psychiatry and psychiatric epidemiology · 2026
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  9. [The Relationship between Social and Family Structures and Behavioral Problems in Preschool Children].Gesundheitswesen (Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany)) · 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

7 authors at 3 institutions in 1 country.

Julia BretschneiderUnit 26 Mental Health, Department of Epidemiology and Health Monitoring, Robert Koch-Institute, Berlin, Germany. BretschneiderJ@rki.de.ORCID 0000-0002-0489-5150
Silke JanitzaUnit 26 Mental Health, Department of Epidemiology and Health Monitoring, Robert Koch-Institute, Berlin, Germany.
Frank JacobiPsychologische Hochschule Berlin, Berlin, Germany.
Julia ThomUnit 26 Mental Health, Department of Epidemiology and Health Monitoring, Robert Koch-Institute, Berlin, Germany.
Ulfert HapkeUnit 26 Mental Health, Department of Epidemiology and Health Monitoring, Robert Koch-Institute, Berlin, Germany.
Tobias KurthInstitute of Public Health, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Ulrike E MaskeUnit 26 Mental Health, Department of Epidemiology and Health Monitoring, Robert Koch-Institute, Berlin, Germany.
Robert Koch Institute · DECharité - Universitätsmedizin Berlin · DEPsychologische Hochschule Berlin · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough an "epidemic" of depression is frequently claimed, empirical evidence is inconsistent, depending on country, study design and depression assessment. Little is known about changes in depression over time in Germany, although health insurance companies report frequency increases. Here we examined time trends in depression prevalence, severity and health-related correlates in the general population.

methodsData were obtained from the mental health module of the "German Health Interview and Examination Survey for Adults" (2009-2012, n = 3265) and the mental health supplement of the "German National Health Interview and Examination Survey 1998" (1997-1999, n = 4176), excluding respondents older than 65. 12-month major depressive disorder (MDD), severity and symptoms were assessed based on the WHO Composite International Diagnostic Interview. Health-related quality of life (SF-36), self-reported sick days or days with limitations in normal daily life activities were examined, too. Calculations were carried out population-weighted. Additional age-standardized analyses were conducted to account for demographic changes.

resultsOverall, MDD 12-month prevalence remained stable at 7.4%. Women showed a shifted age distribution with increased prevalence at younger ages, and increasing MDD severity. Time trends in health-related correlates occurred both in participants with and without MDD. Mental health disability increased over time, particularly among men with MDD, reflected by the mental component score of the SF-36 and days with activity limitation due to mental health problems. Demographic changes had a marginal impact on the time trends.

conclusionsIn contrast to the ongoing international debate regarding increased depression rates in western countries, we found no increase in overall MDD prevalence in Germany over a long period. In conclusion, increased depression frequencies in national health insurance data and growing health care costs associated with depression are not attributable to overall prevalence changes at a population level. However, shifted age distribution and increased severity among women may reflect a rising depression risk within this specific subgroup, and changes in health-related correlates indicate a growing mental health care need for depression, particularly among men.

Indexed as

DepressionActivities of Daily LivingAdultAgedAge FactorsFemaleGermanyHealth SurveysHumansMajor Depressive DisorderMaleMental HealthMiddle AgedPrevalencePsychiatric Status Rating ScalesQuality of LifeCross-sectional studiesDepressionDisease burdenEpidemiologyGeneral populationGermanyHealth-related quality of lifeMajor depressive disorderPrevalenceTime trends

Identifiers

PMID30572872
PMCPMC6302526
OpenAlexW2906034042

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.