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Risk Factors for Locomotive Crew Members Depending on Their Place of Work

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  • Elena A. Zhidkova

    (UNESCO Chair, A.I. Yevdokimov Moscow State University of Medicine and Dentistry, 127473 Moscow, Russia
    Central Directorate of Healthcare—The Branch of Joint Stock Company “Russian Railways” (JSC “RZD”), 123557 Moscow, Russia)

  • Ekaterina M. Gutor

    (Central Directorate of Healthcare—The Branch of Joint Stock Company “Russian Railways” (JSC “RZD”), 123557 Moscow, Russia)

  • Inga A. Popova

    (Institute of Biodesign and Complex Systems Modeling, I.M. Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia)

  • Victoria A. Zaborova

    (Institute of Clinical Medicine, I.M. Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia
    Sports Adaptology Lab, Moscow Institute of Physics and Technology (National Research University), 141700 Dolgoprudniy, Russia)

  • Kira Kryuchkova

    (Institute of Clinical Medicine, I.M. Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia)

  • Konstantin G. Gurevich

    (UNESCO Chair, A.I. Yevdokimov Moscow State University of Medicine and Dentistry, 127473 Moscow, Russia
    Department of Public Health, Research Institute of Healthcare Organization and Medical Management of Moscow Department of Healthcare, 115184 Moscow, Russia)

  • Natella I. Krikheli

    (Department of Clinical Dentistry, A.I. Yevdokimov Moscow State University of Medicine and Dentistry, 127473 Moscow, Russia)

  • Katie M. Heinrich

    (Department of Kinesiology, Kansas State University, Manhattan, KS 66506, USA)

Abstract

Purpose: The purpose of this study is to examine the prevalence of workplace exposure, behavior, and individual health conditions, along with resulting medical activity among locomotive crew members depending on their place of work. Patients and methods: Participants included 5585 train drivers and 3723 train drivers’ assistants (7% of the total train operators in the Russian Federation). Measured height and weight were used to calculate body mass index (BMI), and waist circumference, pulse rate, and blood pressure were also measured. The risk assessment was conducted using the STEPS tool. The level of commitment to a Healthy Lifestyle was assessed based on World Health Organization recommendations. Occupational risk factors were surveyed. Morbidity was analyzed over the past year. Results: The lowest frequency of work exposure risk factors was found for employees of the Trans-Baikal railway; the highest was among Krasnoyarsk, North, and South-East. The participants from the Far East and October Railways had the lowest self-reported frequency of behavioral risk factors. The participants from the Eastern Siberian, October, and Southern Urals railways had the lowest occurrence of individual health conditions. The participants from the East Siberian, Far East, Kuibyshev, and Sverdlovsk railways were the least likely to visit their doctor, take temporary disability leave, or be hospitalized. The total assessed Healthy Lifestyle commitment index was higher for participants from the Far Eastern and Southern Urals railways. The participants from the Moscow and October railways were the least committed to a Healthy Lifestyle. Conclusions: Significant differences exist between risk factors and Healthy Lifestyle commitment between railways. Future research should examine changes due to a new corporate health program introduced in 2020.

Suggested Citation

  • Elena A. Zhidkova & Ekaterina M. Gutor & Inga A. Popova & Victoria A. Zaborova & Kira Kryuchkova & Konstantin G. Gurevich & Natella I. Krikheli & Katie M. Heinrich, 2022. "Risk Factors for Locomotive Crew Members Depending on Their Place of Work," IJERPH, MDPI, vol. 19(12), pages 1-10, June.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:12:p:7415-:d:840656
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    References listed on IDEAS

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    1. Tommi Ojanen & Keijo Häkkinen & Jaakko Hanhikoski & Heikki Kyröläinen, 2020. "Effects of Task-Specific and Strength Training on Simulated Military Task Performance in Soldiers," IJERPH, MDPI, vol. 17(21), pages 1-17, October.
    2. Riley, L. & Guthold, R. & Cowan, M. & Savin, S. & Bhatti, L. & Armstrong, T. & Bonita, R., 2016. "The world health organization STEPwise approach to noncommunicable disease risk-factor surveillance: Methods, challenges, and opportunities," American Journal of Public Health, American Public Health Association, vol. 106(1), pages 74-78.
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