Assessing the Impact of Rotational and Shift Work on Sleep, Activity, Energy Balance, and Food Choice in Adults
NCT ID: NCT05652842
Last Updated: 2022-12-15
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
45 participants
OBSERVATIONAL
2022-10-07
2023-03-31
Brief Summary
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1. Wearing an actigraphy watch, which is very similar to any other wristwatch, for seven days to objectively record their physical activity and sleep.
2. Participants will be asked to do two 24-hour food recalls using Automated Self-Administered 24-hour (ASA24), a free dietary assessment web-based tool.
3. Fill out a few questionnaires regarding demographics, chronotype (evening or morning preference), work schedule, sleep quality, stress levels, and physical activity levels.
This is a field-based observational study collecting data both objectively and subjectively. The target population comprises 15 shift workers, 15 rotational workers and 15 daytime workers. This study will involve two visits to the lab. At the baseline, after taking informed written consent, anthropometric measurements, which include height, weight, and blood pressure, will be taken. Along with that, demographic, work schedule, and chronotype questionnaires will be filled. Participants will be instructed how to use the Actigraphy watch, ASA24, and sleep diary at home. After 7 days, participants will be asked to return to the lab to return the material. Participants will be asked to complete the physical activity, sleep quality and stress questionnaires. This study aims to monitor free-living behaviours in actual shift workers while participants are engaged in real-life work shifts.
Detailed Description
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This study's primary objective is to compare the diet patterns of day workers, shift workers and rotational workers. Previous research has shown no significant differences in the daily caloric intake of shift workers against day workers. Night workers have an enhanced preference for high-fat foods. However, in most of these studies, food intake was measured subjectively using Food Frequency Questionnaires (FFQ) and self-reported food diaries. Subjective tools may lead to inaccurate conclusions. Objective measurement of food intake in shift workers in real-life situations is required instead of a laboratory-based shift work simulation study. The international recommendation for acceptable daily macronutrient distribution for carbohydrates is 45-65%; for fats and protein, figures are 20-35% and 10-35%, respectively. This study is interested in analyzing the adherence to the daily macronutrient distribution by shift, rotational and day workers and if shift workers can achieve the recommendation for a healthy diet. The hypothesis is that shift and rotational workers would have a reduced score for vegetable, fruit and fibre intake. This research aims to study the timings and duration of food intake in workers. These factors can potentially explain the high obesity rate in shift workers and the increased risk for chronic noncommunicable diseases. Another objective is to inter compare the food intake of every worker on a working day and on a non-working day. This study is interested in seeing the caloric intake difference between the rest days and work days, frequency of eating moments, energy distribution of meals, timing of eating, and fasting intervals of workers from different categories. Considering how all these factors impact metabolic parameters like glucose tolerance and energy metabolism, evaluating these specific dietary measures is crucial.
Stress is another major factor that can influence workers' eating patterns, while only a few studies have been done to assess the impact of stress on the eating habits of shift workers. A nurse's study showed that stress significantly predicts energy and saturated fat intake. Often shift workers use food as a coping strategy for dealing with negative mood states. The objective is to compare stress levels between different worker categories and relate them to eating habits respectively.
This is a feasibility study which means data collected from this study will help determine the sample size and other factors for a large-scale intervention trial in the working cohort of Newfoundland. No previous study has been done on Newfoundland workers. This study aims to inform the design and implementation of a fully-funded trial. Data collected from this study will be used for developing hypotheses and sample sizes for future studies.
Secondary objective is to compare sleep levels in different cohorts of workers. Sleep quality is very subjective, implying that it can have different meanings for different persons. To compare sleep quality in terms of sleep duration, sleep efficiency, sleep onset time, total elapsed bedtime, and total sleep time in day workers, shift workers, and rotational workers.
To measure if shift and rotational work have any impact on the physical activity of workers. To compare the physical activity levels of different workers in terms of light/sedentary, moderate and vigorous physical activity.
It also includes collecting data to know each participant's chronotype preference. To compare this with each participant's work schedule and see if chronotype-aligned work schedules are more beneficial. Measuring objectively and subjectively each participant's physical activity and sleep quality. SWEAT study is interested in comparing both parameters' similarity and variability in the subjective and objective data. Determining the relationship between shift and rotational work and the cardiometabolic disease risk factors through the parameters we are measuring.
Conditions
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Keywords
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Study Design
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COHORT
CROSS_SECTIONAL
Study Groups
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Day workers
Includes people working from 9 a.m. to 5 p.m./8 a.m. to 4 p.m. We will be recruiting 15 day workers.
Work-type
Participants are categorized by the type of work hours they must maintain. For example, regular work hours, shift work, and rotational work.
Shift workers
Includes those involved in any arrangement of daily working hours other than the standard daylight hours, 8 a.m. - 5 p.m. It also includes on-call or casual workers. We will be recruiting 15 shift workers.
Work-type
Participants are categorized by the type of work hours they must maintain. For example, regular work hours, shift work, and rotational work.
Rotational workers
Includes those who work on a set schedule and whose working hours are rotating on a set schedule. We do not include offshore workers here. We will be recruiting 15 rotational workers.
Work-type
Participants are categorized by the type of work hours they must maintain. For example, regular work hours, shift work, and rotational work.
Interventions
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Work-type
Participants are categorized by the type of work hours they must maintain. For example, regular work hours, shift work, and rotational work.
Eligibility Criteria
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Inclusion Criteria
2. Should be able to wear a watch for seven days.
3. Should be working.
Exclusion Criteria
2. Being pregnant.
3. Currently being breastfeeding.
4. Having a child less than 1 year old at home.
5. Travelled across time zones in the last four weeks.
6. No change in medication in the last six months for any previous ongoing medical condition (by self-reported health history).
30 Years
ALL
Yes
Sponsors
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Memorial University of Newfoundland
OTHER
Responsible Party
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Scott Harding
Assistant Professor
Principal Investigators
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Scott Harding
Role: PRINCIPAL_INVESTIGATOR
Memorial University of Newfoundland
Locations
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Nutrition and Lifestyle Lab, Department of Earth Sciences, Memorial University of Newfoundland, 9 Arctic Ave
St. John's, Newfoundland and Labrador, Canada
Countries
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Central Contacts
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Facility Contacts
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Scott Harding
Role: primary
References
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Lauren S, Chen Y, Friel C, Chang BP, Shechter A. Free-Living Sleep, Food Intake, and Physical Activity in Night and Morning Shift Workers. J Am Coll Nutr. 2020 Jul;39(5):450-456. doi: 10.1080/07315724.2019.1691954. Epub 2019 Nov 19.
Siqueria K, Griep R, Rotenberg L, Silva-Costa A, Mendes da Fonseca Mde J. Weight gain and body mass index following change from daytime to night shift - a panel study with nursing professionals. Chronobiol Int. 2016;33(6):776-9. doi: 10.3109/07420528.2016.1167719. Epub 2016 May 9.
Robbins R, Quan SF, Barger LK, Czeisler CA, Fray-Witzer M, Weaver MD, Zhang Y, Redline S, Klerman EB. Self-reported sleep duration and timing: A methodological review of event definitions, context, and timeframe of related questions. Sleep Epidemiol. 2021 Dec;1:100016. doi: 10.1016/j.sleepe.2021.100016. Epub 2021 Nov 25.
Park Y, Dodd KW, Kipnis V, Thompson FE, Potischman N, Schoeller DA, Baer DJ, Midthune D, Troiano RP, Bowles H, Subar AF. Comparison of self-reported dietary intakes from the Automated Self-Administered 24-h recall, 4-d food records, and food-frequency questionnaires against recovery biomarkers. Am J Clin Nutr. 2018 Jan 1;107(1):80-93. doi: 10.1093/ajcn/nqx002.
Heath G, Dorrian J, Coates A. Associations between shift type, sleep, mood, and diet in a group of shift working nurses. Scand J Work Environ Health. 2019 Jul 1;45(4):402-412. doi: 10.5271/sjweh.3803. Epub 2019 Feb 26.
Nea FM, Pourshahidi LK, Kearney JM, Livingstone MBE, Bassul C, Corish CA. A qualitative exploration of the shift work experience: the perceived effect on eating habits, lifestyle behaviours and psychosocial wellbeing. J Public Health (Oxf). 2018 Dec 1;40(4):e482-e492. doi: 10.1093/pubmed/fdy047.
Other Identifiers
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20230493
Identifier Type: OTHER
Identifier Source: secondary_id
2022.134
Identifier Type: -
Identifier Source: org_study_id