A qualitative exploration of the shift work experience: the perceived effect on eating habits, lifestyle behaviours and psychosocial wellbeing

Nea, Fiona M; Pourshahidi, L.K.; Kearney, John; Livingstone, M Barbara E; Bassul, Carolina; Corish, Clare

doi:10.1093/pubmed/fdy047

Cited by 38 publications

(30 citation statements)

References 33 publications

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“…In addition, findings showed that poorer mood was associated with a higher intake of fat and saturated fat which concurs with prior studies (18). It is possible that the nurses in the current study were using food as a coping strategy for dealing with negative mood states (36,37). Investigating ways to improve the mood of shift workers may in turn assist with reduced consumption of food and healthier food choices.…”

Section: Discussionsupporting

confidence: 88%

Associations between shift type, sleep, mood, and diet in a group of shift working nurses

Heath¹,

Dorrian²,

Coates³

2019

Scand J Work Environ Health

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Associations between shift type, sleep, mood, and diet in a group of shift working nurses by Heath G, Dorrian J, Coates A Among shift working nurses, night shift, more than afternoon or morning shift, was associated with mood disturbance, increased energy intake, and increased proportion of carbohydrates. Reduced sleep efficiency was also associated with higher carbohydrate intake. Results highlight the importance of examining changes across different shifts in a schedule in the context of gender and mood, as all factors influence diet.

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Section: Discussionsupporting

confidence: 88%

Associations between shift type, sleep, mood, and diet in a group of shift working nurses

Heath¹,

Dorrian²,

Coates³

2019

Scand J Work Environ Health

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“…In the past decade, many studies have documented the negative impacts from shift work on biological homeostasis and circadian rhythm, which can in turn lead to sleep disturbances (Boivin & Boudreau, ; Nea et al, ). Sleep disturbances can trigger the stress response, with subsequent activation of inflammatory pathways, and can result in adverse health outcomes and behavioural problems (Irwin, Olmstead, & Carroll, ), and increased risk of sleepiness‐related accidents and injuries in the workplace (Fafrowicz et al, ; Weaver, Stutzman, Supnet, & Olson, ).…”

Section: Introductionmentioning

confidence: 99%

A prediction model of sleep disturbances among female nurses by using the BP‐ANN

et al. 2019

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Aim To describe sleep disturbances and fatigue among female registered nurses in Beijing and to develop a prediction model for sleep disturbances. Background Chinese nurses are required to work rotating shifts on a weekly basis, which could negatively impact their sleep and well‐being. Method A total of 647 registered nurses participated in this study. Self‐reported sleep‐related data and selected physiological data were collected. Back propagation artificial neural networks was used to develop the prediction model by using the risk management and population health framework. Results Majority of them reported clinically significant poor sleep (69.4%) and fatigue (75.4%). A total of eight predictors were identified for sleep disturbances, and the top four normalized importance predictors are morning fatigue (100%), body mass index (30.5%), gastrointestinal symptoms (17.6%) and drinking caffeinated beverages at work (17.3%). The cross‐entropy error was 206.58, and the model accounted for 77.6% of the variance in sleep disturbances. Conclusions and implications for nursing management Female registered nurses in China experience clinically significant sleep disturbances. Morning fatigue severity along with seven significant influencing factors may be used to identify shift nurses who face a higher risk of sleep disturbances. The back propagation artificial neural networks model could be used as the foundation for health promotion interventions for registered nurses.

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“…11 The limited published data on the experience of Irish shift workers have demonstrated that shift work may negatively affect their health behaviours and psychosocial well-being. 12 Factors relating to the work environment have been identified which may act as barriers or facilitators in their effect on the ability of Irish shift workers to maintain healthy lifestyle behaviours both at work and at home. Further evidence-based insights of this nature are required to inform the development of public and occupational health measures to optimise the health and health behaviours of shift workers.…”

Section: Bmj Nutrition Prevention and Healthmentioning

confidence: 99%

Adherence to dietary and physical activity guidelines among shift workers: associations with individual and work-related factors

Kelly

Nea

Pourshahidi

et al. 2020

BMJNPH

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ObjectivesShift work is associated with adverse effects on the health and lifestyle behaviours of employees. This study aimed to examine factors associated with adherence among shift workers to selected indicators of dietary and physical activity guidelines.MethodsA cross-sectional study was conducted on 1300 shift workers. Data were collected using a 15 minute telephone-administered questionnaire. Logistic regression methods were used for data analysis.ResultsMale shift workers (p<0.001, OR=0.55, 95% CI 0.40 to 0.74) and those of lower socioeconomic status (p=0.046, OR=0.75, 95% CI 0.57 to 0.99) were significantly less likely to consume five or more daily servings of fruits and vegetables. Shift workers with access to workplace vending machines were significantly more likely to consume soft drinks at least weekly (p=0.003, OR=1.64, 95% CI 1.18 to 2.27). Middle-aged shift workers (p=0.012, OR=0.65, 95% CI 0.46 to 0.91) and those reporting insufficient break times at work (p=0.026, OR=0.69, 95% CI 0.49 to 0.96) were significantly less likely to be sufficiently active.ConclusionsIndividual, work schedule and workplace environment related factors were independently associated with selected indicators of adherence to dietary and physical activity guidelines in this cohort of shift workers.

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A qualitative exploration of the shift work experience: the perceived effect on eating habits, lifestyle behaviours and psychosocial wellbeing

Cited by 38 publications

References 33 publications

Associations between shift type, sleep, mood, and diet in a group of shift working nurses

Associations between shift type, sleep, mood, and diet in a group of shift working nurses

A prediction model of sleep disturbances among female nurses by using the BP‐ANN

Adherence to dietary and physical activity guidelines among shift workers: associations with individual and work-related factors

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