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The swift study: dietary profiles of night shift workers characterised by overweight and obesity.

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Europe PMCPublished 2026Nutrition, Aging & LongevityNutrition & Metabolic Health
Journal
European journal of nutrition
Record source
Europe PMC Research Library

Abstract / Description

PURPOSE: This study aimed to explore dietary profiles of a night shift working population with overweight/obesity and the impact of different shift work schedules (rotating vs. fixed night) on their diet. METHODS: Participants from a randomised controlled trial (SWIFt trial) provided 7-day food diaries at study enrolment. Mean energy intakes (EI), and mean percentage of EI as nutrients (macronutrients, saturated fat, added sugar, alcohol) grams of fibre and milligrams of sodium, were assessed against recommendations for Australian adults. Energy intake was assessed for underreporting. Regression analyses were performed on nutrient intakes whilst controlling for individual and lifestyle factors (age, gender, BMI, physical activity, shift work exposure, occupation and shift schedule). RESULTS: The diet of night shift workers (N = 245, aged 46.8 ± 9.8 (mean ± SD) years and 53% female) was characterised as high in fat, saturated fat and sodium, while low in carbohydrate and fibre compared with recommendations, regardless of shift work schedule. However, the mean 24 h EI of rotating shift workers was higher than fixed night workers (9329 ± 2915 kJ/day vs. 8025 ± 2383 kJ/day, p< 0.001), even after assessing plausible EI reporters only (n = 130) (10968 ± 2411 kJ/day vs. 9307 ± 2070 kJ/day, p< 0.001). Furthermore, those performing rotating schedules presented with higher sodium and alcohol consumption. CONCLUSION: These findings support the evidence of shift work being associated with poorer dietary profiles, which likely contribute towards worsened metabolic health amongst night shift workers. Dietary strategies that target problematic eating habits and address unique challenges of working shift schedules are needed to mitigate metabolic health risk in shift working populations.
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