Are AGEs, as a predictor of increased risk for cardiometabolic syndrome, increased in shift workers?

Are AGEs, as a predictor of increased risk for cardiometabolic syndrome, increased in shift workers? - AGEs in Shift Work

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

NL-OMON

Registry ID

NL-OMON38945

Enrollment

200

Registered

2013-03-21

Start date

2013-01-15

Completion date

Unknown

Last updated

2024-04-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

diabetic cardiovascular complications

Interventions

None listed

Eligibility

Age

18 Years to 99 Years

Inclusion criteria

Inclusion criteria: All shift workers (male and female) who have worked on irregular schedules for at least 3 years and that have to work on average for at least 5 nights per month (at least 3 hours between midnight and 6 a.m.), will participate in this study. Matched by age, non-shift workers will serve as a control group.

Exclusion criteria

Exclusion criteria: Exclusion criteria for the shift work group is working in irregular shifts for less than 3 years, or less than 5 nights per month. Exclusion criteria for the non-shift workers group is when a person is working in irregular shifts or has been working in night shift work but not anymore at the time of the study. For both groups, people below 18 years of age are excluded.

Design outcomes

Primary

Measure	Time frame
Average amount of skin AGEs in shift workers and non-shift workers matched by age.	—

Secondary

Measure	Time frame
Exploring correlations, in the shift work and the control groups, between the amount of AGEs and factors that are known from the literature to play a role in shift workers: 1) age, 2) number of years working (on shifts), 3) social jetlag (Wittmann et al. 2006; Roenneberg et al. 2012), 4) eating habits (e.g. % fatty food, % sugars and timing), and 5) quality/duration of sleep. A model to assess the individual contribution of each factor on top of the contribution of being shift worker will also be explored.	—

Measure

Time frame

Exploring correlations, in the shift work and the control groups, between the amount of AGEs and factors that are known from the literature to play a role in shift workers: 1) age, 2) number of years working (on shifts), 3) social jetlag (Wittmann et al. 2006; Roenneberg et al. 2012), 4) eating habits (e.g. % fatty food, % sugars and timing), and 5) quality/duration of sleep. A model to assess the individual contribution of each factor on top of the contribution of being shift worker will also be explored.

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Countries

Netherlands

Outcome results