Intelligent Physical Exercise Training (IPET) in the offshore wind industry: a feasibility study with an adjusted conceptual model

Author:

Oestergaard Anne SkovORCID,Sandal Louise FlengORCID,Smidt Trine Fernando,Søgaard KarenORCID

Abstract

Abstract Background Good physical health and capacity is a requirement for offshore wind service technicians (WTs) who have substantial physical work demands and are exposed to numerous health hazards. Workplace physical exercise has shown promise for improving physical health and work ability among various occupational groups. Therefore, we aimed to assess the feasibility and preliminary efficacy of Intelligent Physical Exercise Training (IPET) among WTs in the offshore wind industry. Methods A within-subject design was used to assess the feasibility and preliminary efficacy of IPET (one hour/week individualized exercise during working hours). The intervention period was 12 weeks, with the first eight weeks performed on site as supervised or partly supervised exercise during work hours and the last four weeks planned as home-administered exercise after the seasonal offshore service period. Three assessments, T1 (six months prior to intervention start), T2 (start of intervention) and T3 (end of intervention), of physical health and capacity (self-reported and objective measurements) were conducted and the period between T1 and T2 served as a within-subject control period. Primary outcome was feasibility measured as compliance, adherence, adverse events, and participant acceptability. Descriptive statistics were used to present feasibility outcomes. Preliminary efficacy was reported as mean differences with 95% confidence intervals for health and physical capacity outcomes between T1 and T2, between T2 and T3 and between T1 and T3. Results All WTs at the included wind farm (n=24, age: 40 years (SD±8)) participated in the study. No serious adverse events were reported. Compliance and adherence of 95 and 80% respectively, were reached in the eight-week supervised part, but were lower when exercise was home-administered (<20%). Acceptability was high for the supervised part, with 83% indicating that the exercise program worked well and 100% that exercise should be implemented as an integrated part of the working structure. Changes in physical capacity and health indicators, such as VO2max (ml O2/kg/min) at T1 (38.6 (SD±7.2)), T2 (44.1 (SD±9)) and T3 (45.8 (SD±6.5)), may indicate seasonal fluctuations as well as improvements from the intervention. Conclusion On-site Intelligent Physical Exercise Training during working hours was feasible and well received among WTs in the offshore wind industry. The proceeding of larger-scale evaluation and implementation is therefore recommended. Trial registration ClinicalTrials.gov (Identifier: NCT04995718). Retrospectively registered on August 6, 2021,

Funder

Ørsted A/S

Publisher

Springer Science and Business Media LLC

Subject

Medicine (miscellaneous)

Reference60 articles.

1. International Renewable Energy Agency, Future of Wind. 2019. Available from: https://www.irena.org/publications/2019/Oct/Future-of-wind. ISBN: 978-92-9260-155-3.

2. U.S. Bureau of Labor Statistics. Fastest growing occupations: 20 occupations with the highest percent change of employment between 2019–2029. 2021 Friday, April 9, 2021 [cited 2021 30.08]; Available from: https://www.bls.gov/ooh/fastest-growing.htm.

3. Wind Energy Technologies Office. Career Map: Wind Technician. Available from: https://www.energy.gov/eere/wind/career-map-wind-technician. Accessed 27 July 2021.

4. Mette J, et al. Healthy offshore workforce? A qualitative study on offshore wind employees' occupational strain, health, and coping. BMC Public Health. 2018;18(1):172.

5. Velasco Garrido M, et al. A cross-sectional survey of physical strains among offshore wind farm workers in the German exclusive economic zone. BMJ Open. 2018;8:1–10.

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