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Record W4413218954 · doi:10.1017/s0029665125101171

Characterising workplace dietary interventions reporting organisational-related outcomes: A systematic review

2025· article· en· W4413218954 on OpenAlexaboutno aff
Georgia Rogerson, M. Clinton, Megan Whelan, Rachel Gibson

Bibliographic record

VenueProceedings of The Nutrition Society · 2025
Typearticle
Languageen
FieldHealth Professions
TopicWorkplace Health and Well-being
Canadian institutionsnot available
FundersBritish Dietetic Association
KeywordsPsychological interventionPsycINFOAbsenteeismMedicineMEDLINESystematic reviewCochrane LibraryRandomized controlled trialInclusion (mineral)Intervention (counseling)PopulationGerontologyFamily medicineNursingPsychologyEnvironmental health

Abstract

fetched live from OpenAlex

The workplace is considered an important setting for public health dietary interventions (1) . For employers, workplace wellbeing provision has the potential for cost-savings related to outcomes such as employee absenteeism, productivity, retention, and company reputation. Yet the evidence to support workplace dietary interventions against these outcomes is limited (2) . The aim of this study was to characterise workplace dietary intervention studies that have evaluated organisational-related outcomes. A systematic review (PROSPERO CRD42023454673) was conducted. Six databases, (Medline, Embase, Cochrane Library, Web of Science, APA PsycINFO, Business Source Complete) were searched for articles from 1990 to September 2023. Studies were screened in duplicate and included if they were a randomised controlled trial (RCT) or quasi-experimental design, conducted in a workplace setting in a high-income country, the intervention included a dietary component, and they reported organisational-related outcomes. A narrative synthesis was conducted to characterise study components (population, study design, study duration, intervention characteristics) and outcome measures (outcome measurement tools, unit of measure). From the 29,418 articles retrieved, 168 met the inclusion criteria. Most articles reported using a quasi-experimental (68.4%) design. Provision of educational materials (62.5%) and group nutritional education (56.0%) were the most frequently reported intervention components and, 82% were combined with a physical activity component. Of the included studies 20.2% were short-term interventions (≤ 3 months) and 42.3% studies were long-term (>12 months). Most studies (26.8%) did not report the personnel delivering the intervention, 25.6% of studies reported a dietitian or nutritionist were involved in delivering the intervention. Most interventions (63.7%) had at least one element of the intervention delivered face to face. Most studies (76.2%) were conducted in the USA or Canada, with 3.6% conducted in UK workplaces. The five main occupational settings reported were health and social care (19.8%), education (14%), manufacturing (12.2%), finance and insurance (11.0%) and public administration (8.1%). The three most frequently reported organisational-related outcomes were absenteeism (45.2%), healthcare costs (35.7%), and program return on investment (ROI) or cost benefit analysis (20.8%). Varied approaches were used to measure organisational-related outcomes, e.g., absenteeism was measured using self-reported WHO-Health and Work Performance questionnaire (3) , the Productivity and Disease questionnaire (4) , or objective methods such as human resource records. Economic outcomes e.g., healthcare costs and ROI were measured using insurance claims data and/or cost modelling. The results indicate a substantial volume of studies published evaluating dietary workplace interventions against organisational outcomes, although there is variation in how individual outcomes are measured. The review has found an over representation of studies conducted in North American organisations and limited studies conducted in the UK. The next stage of this study is to evaluate the effectiveness and quality of the evidence for dietary interventions to impact the organisational outcomes identified.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.240
Threshold uncertainty score0.986

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.046
GPT teacher head0.406
Teacher spread0.360 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes1
Has abstractyes

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