Evidence map›Paper›PMID 42426052›Full record

ArticleScientific reports2026

Professional burnout among dietitians and the perceived role of artificial intelligence tools.

Maja Agata Kozłowska, Joanna Wyka, Dominika Dzięcioł

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In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Maja Agata KozłowskaFaculty of Biotechnology and Food Science, Department of Human Nutrition, Wrocław University of Environmental and Life Sciences, Wrocław, Poland. 121411@student.upwr.edu.pl.
Joanna WykaFaculty of Biotechnology and Food Science, Department of Human Nutrition, Wrocław University of Environmental and Life Sciences, Wrocław, Poland. joanna.wyka@upwr.edu.pl.
Dominika DzięciołFaculty of Biotechnology and Food Science, Department of Human Nutrition, Wrocław University of Environmental and Life Sciences, Wrocław, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Professional burnout is an increasingly recognized problem among healthcare professionals, including dietitians, and may negatively affect both job satisfaction and quality of patient care. This study aimed to assess the prevalence of burnout among dietitians and to explore the potential role of artificial intelligence (AI) tools in its prevention. A diagnostic survey method was applied using two original questionnaires. The first survey (2024) assessed burnout among practicing dietitians (n = 145), while the second survey (2025) examined the use of AI tools among dietitians and dietetics students (n = 145). Burnout symptoms were reported by 41% of dietitians, and significant associations were observed between workplace setting and perceived professional recognition, as well as collaboration within interdisciplinary teams. The majority of respondents indicated that AI tools helped optimize their professional work, particularly in developing dietary recommendations, meal plans, and educational content. Chatbots and content generators were the most frequently used AI solutions. The findings suggest that professional burnout may represent a relevant issue among dietitians and that AI-based tools are perceived as supportive in optimizing professional tasks. Further research is required to evaluate the long-term impact of AI use on mental well-being and professional practice in dietetics.

Indexed as

Artificial IntelligenceBurnout, ProfessionalNutritionistsAdultDieteticsFemaleHumansJob SatisfactionMaleMiddle AgedSurveys and QuestionnairesArtificial intelligence toolsBurnout preventionDietitiansHealthcare professionalsProfessional burnout

Identifiers

What Socratic holds

Textmetadata
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 Socratic graph.