NCT03453398

Brief Summary

Shift work deeply impacts on temporal organization leading to a circadian desynchronization, which translates into a worsening of the sleep quality and work ability during waking hours. Furthermore, also the fine motor control skills and the subjective mood profile could undergo modifications in relation to the acquired sleep debt. The misalignment between working time and physiological/behavioral functions could have negative influences on the levels of spontaneous daily activity, with possible alteration of the activity-rest rhythm of the worker, especially in clinics. In relation to the participants' chronotype, the aim of this project will be to evaluate the effect of irregular working hours (shift work) on (i) the sleep quality, (ii) the circadian rhythm of activity levels and, (iii) the motor control. These assessments will help to identify the shift type with less impact on the health status in a nurse cohort.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
71

participants targeted

Target at P50-P75 for not_applicable

Timeline
Completed

Started Jan 2018

Typical duration for not_applicable

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

January 23, 2018

Completed
15 days until next milestone

First Submitted

Initial submission to the registry

February 7, 2018

Completed
26 days until next milestone

First Posted

Study publicly available on registry

March 5, 2018

Completed
1.8 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 30, 2019

Completed
16 days until next milestone

Study Completion

Last participant's last visit for all outcomes

January 15, 2020

Completed
Last Updated

January 18, 2020

Status Verified

January 1, 2020

Enrollment Period

1.9 years

First QC Date

February 7, 2018

Last Update Submit

January 15, 2020

Conditions

Keywords

ChronotypeShift workHealth status

Outcome Measures

Primary Outcomes (5)

  • Sleep Efficiency (SE)

    Percentage of time spent in bed with actual sleep

    8 days

  • Sleep Latency (SL)

    period of time between bed and sleep

    8 days

  • Movement and Fragmentation Index (MFI)

    Percentage of time spent moving indicative of the fragmentation of sleep

    8 days

  • Immobile Time (IT)

    total time spent without movement, between sleep from start to sleep

    8 days

  • Assumed Sleep (AS)

    Difference between beginning and end of sleep

    8 days

Secondary Outcomes (7)

  • Profile of Mood States (POMS)

    Baseline and 8 days

  • Finger flexor muscles maximum voluntary contraction (MVC)

    Baseline and 8 days

  • Force coefficient of variation (CV)

    Baseline and 8 days

  • Distance of the force signal (DF)

    Baseline and 8 days

  • Surface electromyography (sEMG) root mean square (RMS) of finger flexor muscles

    Baseline and 8 days

  • +2 more secondary outcomes

Other Outcomes (3)

  • Horne-Ostberg Morningness-Eveningness Questionnaire (MEQ)

    Baseline

  • International Physical Activity Questionnaire (IPAQ)

    Baseline

  • QRISK2-2017 questionnaire

    Baseline

Study Arms (3)

Group 1

EXPERIMENTAL

Shifts over 24-hours, shift cycle of 5 days (morning, afternoon, night, night off, rest).

Other: Shifts working hours with different schedules

Group 2

EXPERIMENTAL

Shifts over 24-hours, shift cycle of 10 days (morning, morning, afternoon, afternoon, rest, night, night, night off, rest, rest).

Other: Shifts working hours with different schedules

Group 3

ACTIVE COMPARATOR

Only diurnal shifts, shift cycle of 5 days (morning, afternoon, morning, afternoon, morning, rest, rest).

Other: Shifts working hours with different schedules

Interventions

Workers in Group 1, 2, and 3 will undergo three different shift work modalities presenting different schedules. Importantly, as an inclusion criteria, workers have to be involved in the same shift modality for at least one year at the time at the beginning of the study.

Group 1Group 2Group 3

Eligibility Criteria

Age18 Years - 70 Years
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Work shift continuity in a specific group of at least one year.

You may not qualify if:

  • Presence of cardiovascular, endocrine or metabolic diseases;
  • Presence of neurological or musculoskeletal impairments at finger flexors muscles level;
  • Pharmacological therapies in place that can affect the heart rate and the sleep quality;
  • Self-declaration of pregnancy.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

IRCCS Istituto Ortopedico Galeazzi

Milan, MI, 20161, Italy

Location

Related Publications (23)

  • Adan A, Archer SN, Hidalgo MP, Di Milia L, Natale V, Randler C. Circadian typology: a comprehensive review. Chronobiol Int. 2012 Nov;29(9):1153-75. doi: 10.3109/07420528.2012.719971. Epub 2012 Sep 24.

    PMID: 23004349BACKGROUND
  • Akerstedt T. Shift work and disturbed sleep/wakefulness. Sleep Med Rev. 1998 May;2(2):117-28. doi: 10.1016/s1087-0792(98)90004-1.

    PMID: 15310506BACKGROUND
  • Boivin DB, Tremblay GM, James FO. Working on atypical schedules. Sleep Med. 2007 Sep;8(6):578-89. doi: 10.1016/j.sleep.2007.03.015. Epub 2007 May 3.

    PMID: 17481949BACKGROUND
  • Costa G, Anelli MM, Castellini G, Fustinoni S, Neri L. Stress and sleep in nurses employed in "3 x 8" and "2 x 12" fast rotating shift schedules. Chronobiol Int. 2014 Dec;31(10):1169-78. doi: 10.3109/07420528.2014.957309. Epub 2014 Sep 12.

    PMID: 25216205BACKGROUND
  • Guo Y, Liu Y, Huang X, Rong Y, He M, Wang Y, Yuan J, Wu T, Chen W. The effects of shift work on sleeping quality, hypertension and diabetes in retired workers. PLoS One. 2013 Aug 16;8(8):e71107. doi: 10.1371/journal.pone.0071107. eCollection 2013.

    PMID: 23976988BACKGROUND
  • Halberg F, Carandente F, Cornelissen G, Katinas GS. [Glossary of chronobiology (author's transl)]. Chronobiologia. 1977;4 Suppl 1:1-189. No abstract available. Italian.

    PMID: 352650BACKGROUND
  • Harma M. Individual differences in tolerance to shiftwork: a review. Ergonomics. 1993 Jan-Mar;36(1-3):101-9. doi: 10.1080/00140139308967860.

    PMID: 8440205BACKGROUND
  • Hippisley-Cox J, Coupland C, Robson J, Brindle P. Derivation, validation, and evaluation of a new QRISK model to estimate lifetime risk of cardiovascular disease: cohort study using QResearch database. BMJ. 2010 Dec 9;341:c6624. doi: 10.1136/bmj.c6624.

    PMID: 21148212BACKGROUND
  • Hippisley-Cox J, Coupland C, Vinogradova Y, Robson J, Minhas R, Sheikh A, Brindle P. Predicting cardiovascular risk in England and Wales: prospective derivation and validation of QRISK2. BMJ. 2008 Jun 28;336(7659):1475-82. doi: 10.1136/bmj.39609.449676.25. Epub 2008 Jun 23.

    PMID: 18573856BACKGROUND
  • Horne JA, Ostberg O. A self-assessment questionnaire to determine morningness-eveningness in human circadian rhythms. Int J Chronobiol. 1976;4(2):97-110.

    PMID: 1027738BACKGROUND
  • Juda M, Vetter C, Roenneberg T. Chronotype modulates sleep duration, sleep quality, and social jet lag in shift-workers. J Biol Rhythms. 2013 Apr;28(2):141-51. doi: 10.1177/0748730412475042.

    PMID: 23606613BACKGROUND
  • Martin JS, Laberge L, Sasseville A, Berube M, Alain S, Houle J, Hebert M. Day and night shift schedules are associated with lower sleep quality in Evening-types. Chronobiol Int. 2015 Jun;32(5):627-36. doi: 10.3109/07420528.2015.1033425. Epub 2015 Jun 2.

    PMID: 26035480BACKGROUND
  • Montaruli A, Galasso L, Caumo A, Cè E, Pesenti C, Roveda E, Esposito F. (2017). The circadian typology: the role of physical activity and melatonin. Sport Sciences for Health 1-8, 2017

    BACKGROUND
  • Montaruli A, Galasso L, Carandente F, Vitale JA, Roveda E, Caumo A. If the Morning-Evening Questionnaire (MEQ) is able to predict the actigraphy-based acrophase, how does its reduced, five-item version (rMEQ) perform? Chronobiol Int. 2017;34(4):443-444. doi: 10.1080/07420528.2017.1306708. No abstract available.

    PMID: 28426388BACKGROUND
  • Nelson W, Tong YL, Lee JK, Halberg F. Methods for cosinor-rhythmometry. Chronobiologia. 1979 Oct-Dec;6(4):305-23. No abstract available.

    PMID: 548245BACKGROUND
  • Newey CA, Hood BM. Determinants of shift-work adjustment for nursing staff: the critical experience of partners. J Prof Nurs. 2004 May-Jun;20(3):187-95. doi: 10.1016/j.profnurs.2004.04.007.

    PMID: 15211428BACKGROUND
  • Rajaratnam SM, Arendt J. Health in a 24-h society. Lancet. 2001 Sep 22;358(9286):999-1005. doi: 10.1016/S0140-6736(01)06108-6.

    PMID: 11583769BACKGROUND
  • Roveda E, Vitale JA, Bruno E, Montaruli A, Pasanisi P, Villarini A, Gargano G, Galasso L, Berrino F, Caumo A, Carandente F. Protective Effect of Aerobic Physical Activity on Sleep Behavior in Breast Cancer Survivors. Integr Cancer Ther. 2017 Mar;16(1):21-31. doi: 10.1177/1534735416651719. Epub 2016 Jun 1.

    PMID: 27252076BACKGROUND
  • Roveda E, Vitale J, Montaruli A, Galasso L, Carandente F, Caumo A. Predicting the actigraphy-based acrophase using the Morningness-Eveningness Questionnaire (MEQ) in college students of North Italy. Chronobiol Int. 2017;34(5):551-562. doi: 10.1080/07420528.2016.1276928. Epub 2017 Feb 21.

    PMID: 28276851BACKGROUND
  • Saksvik IB, Bjorvatn B, Hetland H, Sandal GM, Pallesen S. Individual differences in tolerance to shift work--a systematic review. Sleep Med Rev. 2011 Aug;15(4):221-35. doi: 10.1016/j.smrv.2010.07.002. Epub 2010 Sep 20.

    PMID: 20851006BACKGROUND
  • Schernhammer ES, Laden F, Speizer FE, Willett WC, Hunter DJ, Kawachi I, Colditz GA. Rotating night shifts and risk of breast cancer in women participating in the nurses' health study. J Natl Cancer Inst. 2001 Oct 17;93(20):1563-8. doi: 10.1093/jnci/93.20.1563.

    PMID: 11604480BACKGROUND
  • Munakata M, Ichi S, Nunokawa T, Saito Y, Ito N, Fukudo S, Yoshinaga K. Influence of night shift work on psychologic state and cardiovascular and neuroendocrine responses in healthy nurses. Hypertens Res. 2001 Jan;24(1):25-31. doi: 10.1291/hypres.24.25.

    PMID: 11213026BACKGROUND
  • Galasso L, Mule A, Castelli L, Ce E, Condemi V, Banfi G, Roveda E, Montaruli A, Esposito F. Effects of Shift Work in a Sample of Italian Nurses: Analysis of Rest-Activity Circadian Rhythm. Int J Environ Res Public Health. 2021 Aug 8;18(16):8378. doi: 10.3390/ijerph18168378.

MeSH Terms

Conditions

Chronobiology DisordersMotor ActivityCardiovascular Diseases

Condition Hierarchy (Ancestors)

Nervous System DiseasesBehavior

Study Officials

  • Fabio Esposito, MD

    University of Milan

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
interventional
Phase
not applicable
Allocation
NON RANDOMIZED
Masking
NONE
Purpose
OTHER
Intervention Model
PARALLEL
Model Details: Participants are divided in three different groups on the bases of their actual shift work modalities. Thus no allocation process is possible within this project.
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

February 7, 2018

First Posted

March 5, 2018

Study Start

January 23, 2018

Primary Completion

December 30, 2019

Study Completion

January 15, 2020

Last Updated

January 18, 2020

Record last verified: 2020-01

Data Sharing

IPD Sharing
Will share

Anonymous individual participant data for all primary and secondary outcome measures will be made available

Shared Documents
STUDY PROTOCOL, SAP, ICF, CSR, ANALYTIC CODE
Time Frame
Data will be available within 6 months from the end of the study.
Access Criteria
Data access request will be reviewed by the principal investigator and co-investigators. Requestors will be required to sign a Data Access Agreement.

Locations