Evidence map›Paper›PMID 37538274›Full record

ArticleFrontiers in public health2023

Community indicators for mental health in Europe: a scoping review.

Petra Schoenweger, Michaela Kirschneck, Katharina Biersack, Anna-Francesca Di Meo, Philipp Reindl-Spanner, Barbara Prommegger, Claudia Ditzen-Janotta, Peter Henningsen, Helmut Krcmar, Jochen Gensichen and 2 more

Abstract readScoping Review
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

12 authors.

Petra SchoenwegerInstitute of Medical Data Processing, Biometrics and Epidemiology (IBE), Faculty of Medicine, LMU Munich, Munich, Germany.
Michaela KirschneckInstitute of Medical Data Processing, Biometrics and Epidemiology (IBE), Faculty of Medicine, LMU Munich, Munich, Germany.
Katharina BiersackDepartment of Psychosomatic Medicine and Psychotherapy, University Hospital, Technical University of Munich, Munich, Germany.
Anna-Francesca Di MeoInstitute of Medical Data Processing, Biometrics and Epidemiology (IBE), Faculty of Medicine, LMU Munich, Munich, Germany.
Philipp Reindl-SpannerTUM School of Computation, Information and Technology, Technical University of Munich, Munich, Germany.
Barbara PrommeggerTUM School of Computation, Information and Technology, Technical University of Munich, Munich, Germany.
Claudia Ditzen-JanottaInstitute of Medical Data Processing, Biometrics and Epidemiology (IBE), Faculty of Medicine, LMU Munich, Munich, Germany.
Peter HenningsenDepartment of Psychosomatic Medicine and Psychotherapy, University Hospital, Technical University of Munich, Munich, Germany.
Helmut KrcmarTUM School of Computation, Information and Technology, Technical University of Munich, Munich, Germany.
Jochen GensichenInstitute of General Practice and Family Medicine, University Hospital of Ludwig-Maximilians-University Munich, Munich, Germany.
Caroline Jung-SieversInstitute of Medical Data Processing, Biometrics and Epidemiology (IBE), Faculty of Medicine, LMU Munich, Munich, Germany.
POKAL-Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Community indicators may predict and influence individuals` mental health, and support or impede mental health management. However, there is no consensus on which indicators should be included in predictions, prognostic algorithms, or management strategies for community-based mental health promotion and prevention approaches. Therefore, this scoping review provides an overview of relevant community-level indicators for mental health in the general as well as risk populations in a European context. Methods: We conducted a scoping review in the following electronic databases: PubMed, Embase, and PsycInfo. Eligible studies focused on context factors such as either the physical or social environment, reporting at least one mental health outcome and referring to a European population. Publications between 2012 and March 8, 2022 are considered. Results: In total, the search yielded 12,200 identified records. After the removal of duplicates, 10,059 records were screened against the eligibility criteria. In total, 169 studies were included in the final analysis. Out of these included studies, 6% focused on pan-European datasets and 94% on a specific European country. Populations were either general or high-risk populations (56 vs. 44%, respectively) with depressive disorder as the main reported outcome (49%), followed by general mental health (33%) and anxiety (23%). Study designs were cross-sectional studies (59%), longitudinal (27%), and others (14%). The final set of indicators consisted of 53 indicators, which were grouped conceptually into 13 superordinate categories of community indicators. These were divided into the domains of the physical and social environment. The most commonly measured and reported categories of community indicators associated with mental health outcomes were social networks ( Conclusion: This review provides an evidence base of existing and novel community-level indicators that are associated with mental health. Community factors related to the physical and social environment should be routinely recorded and considered as influencing factors or potentially underestimated confounders. The relevance should be analyzed and included in clinical outcomes, data, monitoring and surveillance as they may reveal new trends and targets for public mental health interventions.

Indexed as

Health PromotionMental HealthAnxietyEuropeHumanscommunity indicatorsmental health promotion and preventionneighborhoodpublic mental healthscoping review

Identifiers

PMID37538274
PMCPMC10396773

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Registered trials

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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.