ArticleFrontiers in public health2025
Mental health among farmers in Germany: a scoping review.
Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- [Suicides in agriculture: a cross-population analysis based on Bavarian police crime statistics].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2026Article
- Identifying stressors and coping resources among Austrian farmers: A mixed-methods study for targeted prevention and health promotion.Preventive medicine reports · 2026Article
- Mental health of fishermen: current research status and future directions-insights from seafarer studies (a scoping review).Frontiers in public health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Farmers are exposed to various stressors, including economic uncertainty, climate variability, and regulatory burdens, all of which can negatively impact their mental health. While international research has documented elevated rates of mental illness among farmers, little is known about the mental health status of farmers in Germany. This scoping review aims to synthesize current scientific knowledge on mental health outcomes among farmers in Germany. Methods: A scoping review was conducted according to PRISMA guidelines for Scoping Reviews and following the Population Concept Context (PCC) framework. Inclusion criteria were: (a) language: English or German, (b) publication between 2014 and 2024, (c) original study, (d) population: farmers (at least 50% within the study population), (e) concept: mental health and (f) context: Germany. Web of Science and Google Scholar were chosen as databases, complemented by expert input and reference checking of relevant studies. Results: Eleven studies met the inclusion criteria: six cross-sectional studies, three randomized controlled trials, and two qualitative studies. The outcomes reported were: depressive symptoms, anxiety and burnout symptoms, sleep disorders and perceived stress. Identified stressors linked to the outcomes included economic difficulties, bureaucratic pressure, climate-related challenges, and family conflict. However, most studies showed methodological limitations and heterogeneity regarding definitions and instruments. No data were found on suicide among German farmers. Discussion: Compared to international research, evidence on mental health of farmers in Germany remains limited. The few mental health findings among German farmers align with those from international studies. Further epidemiological studies and context-specific interventions are needed to address mental health of farmers in Germany. Systematic review registration: https://osf.io/yagbp/?view_only=.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.