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Record W3035184731 · doi:10.1017/s0029665120006618

Flexibility in work time impacts workers’ lunch habits

2020· article· en· W3035184731 on OpenAlexaff
Camille Massey, Laure Saulais

Bibliographic record

VenueProceedings of The Nutrition Society · 2020
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsFlexibility (engineering)ScheduleWorkloadPsychologyWork scheduleFeelingWorking hoursWorking timeComputer-assisted web interviewingWork (physics)Control (management)Social psychologyEnvironmental healthMedicineMarketingBusinessEconomicsLabour economicsEngineering

Abstract

fetched live from OpenAlex

Abstract Background: Workplaces have been highlighted as a promising place to promote healthy food choices because of the recurrence of eating occasions (Wanjek, 2005). Beyond interventional research promoting healthier food choices in workplace restaurants, much remains to be understood regarding the specificities of eating choices of individuals during their worktime. Specifically, although working conditions seem likely to play a key role in workers’ eating choices (Raulio et al., 2007), the nature and extent of this association are unclear. Worktime organisation and workers’ control over their own schedule have been proposed to account for differences in the way workers interact with their workplace food environment (Massey & Saulais, in press ; Raulio et al., 2012). Objectives: The objective of this research is to investigate the relationships between two time-related working conditions, schedule flexibility and control over one's schedule, and workers’ lunch habits. Methodology: An ad-hoc online questionnaire was developed partly after the French Working Conditions survey. 1,139 French wage-earning workers, recruited from an online survey panel, were asked about their time-related working conditions, their behavior during lunch breaks over a two-week period (including non-food related behaviors such as taking care of personal matters during break) and their subjective experience of these lunch breaks in relation with time (such as feeling rushed during lunch break). Results: Workers with more flexibility in their schedule were more likely to report using lunch breaks as an adjusting variable in their workday, either by reducing it to compensate for their workload (p = .0001) or to attend to personal matters (p = .04). Perceived control over worktime organization also affected eating strategies during lunchtime. Conclusion: This research is one of the first to investigate possible relationships between working conditions and workers’ lunch habits. Although results provide support to a link between time-related working conditions and lunch behaviors, socioeconomic status (SES), which have been shown to impact workers’ behaviors, could be a confounding factor (Massey & Saulais, in press) , whose effect needs to be further investigated in controlled conditions.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.197
Threshold uncertainty score0.417

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.033
GPT teacher head0.297
Teacher spread0.264 · 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 designObservational
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".

Quick stats

Citations1
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of The Nutrition SocietySame topicEating Disorders and BehaviorsFrench-language works237,207