Evidence map›Paper›PMID 42820931›Full record

SynthesisJournal of human nutrition and dietetics : the official journal of the British Dietetic Association2026

A Systematic Review of Nutrition Interventions for Shift Workers, With Subgroup Analysis of First Responder Populations.

Alison Jayne Booker, Steven Powell, Joanne Louise Fallowfield, Rachel Gibson

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of human nutrition and dietetics : the official journal of the British Dietetic Association, 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

4 authors.

Alison Jayne BookerMinistry of Defence Police, RAF Wyton, Cambridgeshire, UK.ORCID https://orcid.org/0009-0000-6366-1648
Steven PowellInstitute of Naval Medicine, Crescent Road, Gosport, UK.
Joanne Louise FallowfieldRoyal Navy People Support Headquarters, HMS Temeraire, Burnaby Road, Portsmouth, UK.
Rachel GibsonDepartment of Nutritional Sciences, King's College London, London, UK.ORCID https://orcid.org/0000-0002-5823-6468

Funding

Ministry of Defence Police
6 · The paper itself

Abstract

introductionShift work is an increasingly prevalent feature of the modern workforce, with first responders constituting a critical occupational group required to sustain 24-h operations. Modifiable health behaviour interventions, such as improving diet quality, may be effective in preventing or mitigating the non-communicable disease onset linked to shift work. This review evaluated evidence supporting nutritional interventions in shift workers with first responder populations considered as a pre-specified subgroup of interest.

methodsA systematic review (PROSPERO CRD42023421400) evaluated intervention and observational studies informing dietary guidance for shift workers. Four databases (Embase, Cochrane Library, Web of Science, PubMed) were searched from inception to August 2023, with no date restrictions, and searches were updated in July 2025. Searches were supplemented by grey literature searches specifically targeting first responder populations. Studies were screened by two researchers. Studies of a randomised controlled trial (RCT), crossover-RCT or observational study design, conducted in free-living shiftwork populations or a laboratory-controlled shiftwork setting, the intervention included a dietary component, and health-related outcomes were reported. A narrative synthesis of results grouped by intervention type was conducted, with a pre-specified subgroup analysis of studies in first responder populations. Quality assessment was measured using the Cochrane Risk of Bias Tools. Observational studies were evaluated using the Newcastle-Ottawa Scale.

resultsFrom the 6909 articles retrieved, 43 met the inclusion criteria. Most articles reported using a crossover (49%) or observational (33%) study design. Where specified, most studies involved free-living participants (67%) in nursing and healthcare professionals (40%), with a few studies (9%) involving first responder subgroups (e.g., firefighters and police officers). Frequently reported intervention components included macronutrient adjustments (23%), time-restricted eating (TRE) (21%), and meal timing and quantity (19%). Frequently reported outcomes were cardiometabolic health (40%), cognitive performance (30%), and sleep quality (12%). Methodological heterogeneity and prevalent risk of bias limited the evidence strength for determining shift worker nutritional guidelines.

conclusionThe current evidence-base is insufficient to formulate evidence-based dietary guidelines for shift workers. The current evidence base is limited by substantial methodological heterogeneity, small sample sizes, and a moderate-to-high risk of bias across studies, which restricts the ability to formulate definitive evidence-based dietary guidelines for shift workers. While findings may have relevance for high-risk occupational groups, first responders remain underrepresented in the literature. Future research should prioritise well-controlled, adequately powered, and ecologically valid intervention studies in diverse shift-working populations, including first responders, to better inform practical and effective nutritional guidance.

Indexed as

DietShift Work ScheduleWork Schedule ToleranceHumansObservational Studies as TopicRandomized Controlled Trials as Topicfirst respondersnutritional strategiesoccupational healthshift workSystematic reviewtime‐restricted eatingworkplace nutrition

Identifiers

PMID42820931
PMCPMC13629591

What OpenQuestion 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 OpenQuestion graph.