protocolSection identificationModule nctId: NCT06288568, orgStudyIdInfo id: Shift2Health, briefTitle: Night Shift Work and Biomarkers of Obesity Risk in Hospital and Industry Workers, acronym: Shift2Health, statusModule overallStatus: NOT_YET_RECRUITING, startDateStruct date: 2024-04-01, primaryCompletionDateStruct date: 2025-05-01, completionDateStruct date: 2028-05-31, studyFirstPostDateStruct date: 2024-03-01, lastUpdatePostDateStruct date: 2024-03-05, sponsorCollaboratorsModule leadSponsor name: University of Vienna, class: OTHER, collaborators name: Medical University of Vienna, collaborators name: FH Joanneum Gesellschaft mbH, collaborators name: Wageningen University and Research, collaborators name: Wageningen University, collaborators name: University of Bremen, collaborators name: Verein zur Förderung des Technologietransfers an der Hochschule Bremerhaven e.V., collaborators name: UNIVERSYTET MEDYCZNY W LODZI, collaborators name: Københavns Universitet, collaborators name: Charite University, Berlin, Germany, collaborators name: Erasmus Medical Center, descriptionModule briefSummary: Shift work is a well-known risk factor for the development of overweight and obesity, which may lead to downstream effects such as increased risk of cardiometabolic diseases and cancer. However, the biological and behavioral mechanisms underlying the obesogenicity of night shift work are not well understood. Population-based mechanistic studies in real life shift workers are needed to address how night shift work impacts metabolic health.The investigators aim to characterize the behavioural, environmental, and biological mechanisms and pathways for the association of night shift work and obesity across Europe.The investigators will conduct a cross sectional study in 5 European countries (Austria, Denmark, Germany, Netherlands and Poland) and recruit 1000 rotating night shift workers and day workers (200/country) from the health sector and different industries. Night and day workers will be age-frequency (3 age groups), gender and (where possible) working tasks matched. Participants will complete online questionnaires and report their diet habits in a mobile app. Body composition, dietary behavior and sensory preferences will be tested. Biologic specimens (blood, urine, saliva, hair and feces) will be collected at the workplace on a day where participants are working on a day shift (or a day off). In a subsample (Austria and Netherlands) shift workers will provide biological samples (spot blood, urine and saliva) both on a day shift and on a night shift. Biomarkers including hormones, cellular immunity and inflammation, parameters linked to gut health and metabolism of fat and sugar, appetite, oxidative stress, metabolomics and microbiota will be measured. The investigators hypothesize that compared to day workers, night shift workers will experience disrupted levels of pre-obesity markers. Higher circadian disruption, sleep disruption and mistimed eating patterns workers will be associated with more disrupted biomarker profiles. Among rotating shift workers, night shift will be associated with acute disrupted melatonin production, metabolomic profiles and composition of oral microbiota compared to a day shift., conditionsModule conditions: Obesity, conditions: Shift-work Disorder, conditions: Circadian Rhythm Disorders, designModule studyType: OBSERVATIONAL, designInfo observationalModel: CASE_CONTROL, timePerspective: CROSS_SECTIONAL, enrollmentInfo count: 1000, type: ESTIMATED, armsInterventionsModule interventions name: No intervention, outcomesModule primaryOutcomes measure: high-sensitive C-Reactive Protein (hs-CRP), secondaryOutcomes measure: The investigators will consider levels of hormones in plasma, secondaryOutcomes measure: The investigators will consider levels of hormones in plasma, secondaryOutcomes measure: The investigators will consider levels of parameters linked to gut health in serum and in feces, secondaryOutcomes measure: The investigators will consider levels of parameters linked to gut health in serum and in feces, secondaryOutcomes measure: The investigators will consider levels of parameters linked to gut health in serum and in feces, secondaryOutcomes measure: The investigators will consider levels of parameters linked to gut health in serum and in feces, secondaryOutcomes measure: The investigators will consider parameters of cellular immunity and inflammation in plasma, secondaryOutcomes measure: The investigators will consider parameters of cellular immunity and inflammation in plasma, secondaryOutcomes measure: The investigators will consider parameters of cellular immunity and inflammation in plasma, secondaryOutcomes measure: The investigators will consider parameters of metabolism of fat and sugar in plasma, secondaryOutcomes measure: The investigators will consider parameters of metabolism of fat and sugar in plasma, secondaryOutcomes measure: The investigators will consider parameters of metabolism of fat and sugar in plasma, secondaryOutcomes measure: The investigators will consider parameters of metabolism of fat and sugar in plasma, secondaryOutcomes measure: The investigators will consider parameters of metabolism of fat and sugar in plasma, secondaryOutcomes measure: The investigators will consider levels of appetite markers in plasma, secondaryOutcomes measure: The investigators will consider levels of appetite markers in plasma, secondaryOutcomes measure: The investigators will consider levels of oxidative stress in whole blood, serum, plasma and urine, secondaryOutcomes measure: The investigators will consider levels of oxidative stress in whole blood, serum, plasma and urine, secondaryOutcomes measure: The investigators will consider levels of oxidative stress in whole blood, serum, plasma and urine, secondaryOutcomes measure: The investigators will consider levels of oxidative stress in whole blood, serum, plasma and urine, secondaryOutcomes measure: The investigators will consider levels of oxidative stress in whole blood, serum, plasma and urine, secondaryOutcomes measure: The investigators will consider metabolomics analysis of plasma samples and dry blood spots (DBS), secondaryOutcomes measure: The investigators will consider microbiome analysis of feces samples and tongue swabs, eligibilityModule sex: ALL, minimumAge: 21 Years, stdAges: ADULT, stdAges: OLDER_ADULT, hasResults: False