Advertisement
Research Article|Articles in Press

A Contactless App-Based Intervention to Improve Health Behaviors in Airline Pilots: A Randomized Trial

Published:January 12, 2023DOI:https://doi.org/10.1016/j.amepre.2022.12.011

      Introduction

      There is a need for enhanced preventive health care among airline pilots to mitigate the prevalence of cardiometabolic health risk factors.

      Design

      A randomized, waitlist-controlled trial was utilized to evaluate the effectiveness of a smartphone-based app intervention for improving health behaviors and cardiometabolic health parameters.

      Setting/participants

      A total of 186 airline pilots (aged 43.2±9.1 years; male, 64%) were recruited and participated in the trial during 2022.

      Intervention

      This intervention was a personalized, 16-week smartphone-based app multicomponent physical activity, healthy eating, and sleep hygiene intervention.

      Main outcome measures

      Outcome measures of objective health (Cooper's 12-minute exercise test, resting heart rate, push ups, plank isometric hold, body mass), subjective health (self-rated health, perceived psychological stress and fatigue), and health behaviors (weekly physical activity, sleep quality and duration, fruit and vegetable intake) were collected at baseline and after intervention. The waitlist control completed the same measures.

      Results

      Significant interactions for time Χ group from baseline to 16 weeks were found for all outcome measures (p<0.001). Significant between-group differences for positive health changes in favor of the intervention group were found after intervention for all outcome measures (p<0.05, d=0.4–1.0) except for self-rated health, body mass, and Pittsburgh Sleep Quality Index score.

      Conclusions

      Study findings show that an app-based health behavior intervention can elicit positive cardiometabolic health changes among airline pilots over 16 weeks, associated with trivial to large effect sizes.

      Trial registration

      The trial protocol was prospectively registered at The Australian New Zealand Clinical Trials Registry (ACTRN12622000288729).
      To read this article in full you will need to make a payment

      Purchase one-time access:

      Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online access
      One-time access price info
      • For academic or personal research use, select 'Academic and Personal'
      • For corporate R&D use, select 'Corporate R&D Professionals'

      Subscribe:

      Subscribe to American Journal of Preventive Medicine
      Already a print subscriber? Claim online access
      Already an online subscriber? Sign in
      Institutional Access: Sign in to ScienceDirect

      REFERENCES

        • Miranda JJ
        • Barrientos-Gutiérrez T
        • Corvalan C
        • et al.
        Understanding the rise of cardiometabolic diseases in low- and middle-income countries.
        Nat Med. 2019; 25: 1667-1679https://doi.org/10.1038/s41591-019-0644-7
        • Marmot M
        • Bell R.
        Social determinants and non-communicable diseases: time for integrated action.
        BMJ. 2019; 364: l251https://doi.org/10.1136/bmj.l251
        • van Drongelen A
        • Boot CR
        • Hlobil H
        • Twisk JW
        • Smid T
        • van der Beek AJ.
        Evaluation of an mhealth intervention aiming to improve health-related behavior and sleep and reduce fatigue among airline pilots.
        Scand J Work Environ Health. 2014; 40: 557-568https://doi.org/10.5271/sjweh.3447
        • Wilson D
        • Driller M
        • Winwood P
        • Johnston B
        • Gill N.
        The effects of a brief lifestyle intervention on the health of overweight airline pilots during COVID-19: a 12-month follow-up study.
        Nutrients. 2021; 13: 4288https://doi.org/10.3390/nu13124288
        • Cahill J
        • Cullen P
        • Anwer S
        • Wilson S
        • Gaynor K.
        Pilot work related stress (WRS), effects on wellbeing and mental health, and coping methods.
        Int J Aerosp Psychol. 2021; 31: 87-109https://doi.org/10.1080/24721840.2020.1858714
        • Wilson D
        • Driller M
        • Johnston B
        • Gill N.
        The prevalence and distribution of health risk factors in airline pilots: a cross-sectional comparison with the general population.
        Aust N Z J Public Health. 2022; 46: 572-580https://doi.org/10.1111/1753-6405.13231
        • Wilson D
        • Driller M
        • Johnston B
        • Gill N.
        The prevalence of cardiometabolic health risk factors among airline pilots: a systematic review.
        Int J Environ Res Public Health. 2022; 19: 4848https://doi.org/10.3390/ijerph19084848
        • Nishtar S.
        The NCDs Cooperative: a call to action.
        Lancet. 2017; 390: 1820-1821https://doi.org/10.1016/S0140-6736(17)32481-9
        • Choi YY
        • Kim KY.
        Effects of physical examination and diet consultation on serum cholesterol and health-behavior in the Korean pilots employed in commercial airline.
        Ind Health. 2013; 51: 603-611https://doi.org/10.2486/indhealth.2012-0027
        • Wilson D
        • Driller M
        • Johnston B
        • Gill N.
        The effectiveness of a 17-week lifestyle intervention on health behaviors among airline pilots during COVID-19.
        J Sport Health Sci. 2021; 10: 333-340https://doi.org/10.1016/j.jshs.2020.11.007
        • Middleton KR
        • Anton SD
        • Perri MG.
        Long-term adherence to health behavior change.
        Am J Lifestyle Med. 2013; 7: 395-404https://doi.org/10.1177/1559827613488867
      1. Hernan WH, Brandle M, Zhang P et al. Costs associated with the primary prevention of type 2 diabetes mellitus in the diabetes prevention program. Diabetes Care. 2003;26(1):36–47. https://doi.org/10.2337/diacare.26.1.36.

        • Mönninghoff A
        • Kramer JN
        • Hess AJ
        • et al.
        Long-term effectiveness of mhealth physical activity interventions: systematic review and meta-analysis of randomized controlled trials.
        J Med Internet Res. 2021; 23: e26699https://doi.org/10.2196/26699
        • Müller AM
        • Alley S
        • Schoeppe S
        • Vandelanotte C.
        The effectiveness of e−& mhealth interventions to promote physical activity and healthy diets in developing countries: a systematic review.
        Int J Behav Nutr Phys Act. 2016; 13: 109https://doi.org/10.1186/s12966-016-0434-2
        • Kankanhalli A
        • Saxena M
        • Wadhwa B.
        Combined interventions for physical activity, sleep, and diet using smartphone apps: a scoping literature review.
        Int J Med Inform. 2019; 123: 54-67https://doi.org/10.1016/j.ijmedinf.2018.12.005
        • Warburton DER
        • Jamnik V
        • Bredin SSD
        • Shephard RJ
        • Gledhill N.
        The 2020 physical activity readiness questionnaire for everyone (PAR-Q+) and electronic physical activity readiness medical examination (ePARmed-X+): 2020 PAR-Q.
        Health Fit J Can. 2019; 12: 58-61https://doi.org/10.14288/hfjc.v12i4.295
        • Barisic A
        • Leatherdale ST
        • Kreiger N.
        Importance of frequency, intensity, time and type (FITT) in physical activity assessment for epidemiological research.
        Can J Public Health. 2011; 102: 174-175https://doi.org/10.1007/BF03404889
        • Bull FC
        • Al-Ansari SS
        • Biddle S
        • et al.
        World Health Organization 2020 guidelines on physical activity and sedentary behaviour.
        Br J Sports Med. 2020; 54: 1451-1462https://doi.org/10.1136/bjsports-2020-102955
        • Kulavic K
        • Hultquist CN
        • McLester JR.
        A comparison of motivational factors and barriers to physical activity among traditional versus nontraditional college students.
        J Am Coll Health. 2013; 61: 60-66https://doi.org/10.1080/07448481.2012.753890
        • Liguori G
        • Medicine A.
        ACSM's Guidelines for Exercise Testing and Prescription.
        11th ed. Wolters Kluwer, Alphen aan den Rijn, The Netherlands2020
        • Kliemann N
        • Croker H
        • Johnson F
        • Beeken RJ.
        Development of the top tips habit-based weight loss app and preliminary indications of its usage, effectiveness, and acceptability: mixed-methods pilot study.
        JMIR MHealth UHealth. 2019; 7: e12326https://doi.org/10.2196/12326
        • Cooper KH.
        A means of assessing maximal oxygen intake. Correlation between field and treadmill testing.
        JAMA. 1968; 203: 201-204https://doi.org/10.1001/jama.1968.03140030033008
        • Clemons J.
        Construct validity of two different methods of scoring and performing push-ups.
        J Strength Cond Res. 2019; 33: 2971-2980https://doi.org/10.1519/JSC.0000000000002843
        • Tong TK
        • Wu S
        • Nie J.
        Sport-specific endurance plank test for evaluation of global core muscle function.
        Phys Ther Sport. 2014; 15: 58-63https://doi.org/10.1016/j.ptsp.2013.03.003
        • Wilson D
        • Driller M
        • Winwood P
        • Clissold T
        • Johnston B
        • Gill N.
        The effectiveness of a combined healthy eating, physical activity, and sleep hygiene lifestyle intervention on health and fitness of overweight airline pilots: a controlled trial.
        Nutrients. 2022; 14: 1988https://doi.org/10.3390/nu14091988
        • Krupp LB
        • LaRocca NG
        • Muir-Nash J
        • Steinberg AD.
        The fatigue severity scale. Application to patients with multiple sclerosis and systemic lupus erythematosus.
        Arch Neurol. 1989; 46: 1121-1123https://doi.org/10.1001/archneur.1989.00520460115022
        • Lee EH.
        Review of the psychometric evidence of the perceived stress scale.
        Asian Nurs Res. 2012; 6: 121-127https://doi.org/10.1016/j.anr.2012.08.004
      2. Methodology report 2017/18: New Zealand health survey. Ministry of Health. https://www.health.govt.nz/publication/methodology-report-2017-18-new-zealand-health-survey. Updated March 25, 2019. Accessed January 1, 2020.

        • Ware JE
        • Keller SD
        • Kosinski M.
        SF-12: how to score the SF-12 physical and mental health summary scales.
        Health Institute, New England Medical Center, Boston, MA1995 (Published December. Accessed  January 1, 2022)
        • Buysse DJ
        • Reynolds III, CF
        • Monk TH
        • Berman SR
        • Kupfer DJ
        The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research.
        Psychiatry Res. 1989; 28: 193-213https://doi.org/10.1016/0165-1781(89)90047-4
        • Meyerowitz-Katz G
        • Ravi S
        • Arnolda L
        • Feng X
        • Maberly G
        • Astell-Burt T
        Rates of attrition and dropout in app-based interventions for chronic disease: systematic review and meta-analysis.
        J Med Internet Res. 2020; 22: e20283https://doi.org/10.2196/20283
        • Marino M
        • Lucas J
        • Latour E
        • Heintzman JD.
        Missing data in primary care research: importance, implications and approaches.
        Fam Pract. 2021; 38: 200-203https://doi.org/10.1093/fampra/cmaa134
        • Cohen J.
        Statistical Power Analysis for the Behavioral Sciences.
        2nd ed. Taylor & Francis Group, Florence1988 (ed)
        • Wingelaar-Jagt YQ
        • Wingelaar TT
        • Riedel WJ
        • Ramaekers JG.
        Fatigue in aviation: safety risks, preventive strategies and pharmacological interventions.
        Front Physiol. 2021; 12712628https://doi.org/10.3389/fphys.2021.712628
        • Wu AC
        • Donnelly-McLay D
        • Weisskopf MG
        • McNeely E
        • Betancourt TS
        • Allen JG.
        Airplane pilot mental health and suicidal thoughts: a cross-sectional descriptive study via anonymous web-based survey.
        Environ Health. 2016; 15: 121https://doi.org/10.1186/s12940-016-0200-6
        • Marcolino MS
        • Oliveira JAQ
        • D'Agostino M
        • Ribeiro AL
        • Alkmim MBM
        • Novillo-Ortiz D
        The impact of mhealth interventions: systematic review of systematic reviews.
        JMIR MHealth UHealth. 2018; 6: e23https://doi.org/10.2196/mhealth.8873
        • Castro R
        • Ribeiro-Alves M
        • Oliveira C
        • et al.
        What are we measuring when we evaluate digital interventions for improving lifestyle? A scoping meta-review. Systematic review.
        Public Health Front. 2021; 9735624https://doi.org/10.3389/fpubh.2021.735624
        • Berry R
        • Kassavou A
        • Sutton S.
        Does self-monitoring diet and physical activity behaviors using digital technology support adults with obesity or overweight to lose weight? A systematic literature review with meta-analysis.
        Obes Rev. 2021; 22: e13306https://doi.org/10.1111/obr.13306
        • Rodriguez Rocha NP
        • Kim H
        Ehealth interventions for fruit and vegetable intake: a meta-analysis of effectiveness.
        Health Educ Behav. 2019; 46: 947-959https://doi.org/10.1177/1090198119859396
        • Baron KG
        • Duffecy J
        • Reutrakul S
        • et al.
        Behavioral interventions to extend sleep duration: a systematic review and meta-analysis.
        Sleep Med Rev. 2021; 60101532https://doi.org/10.1016/j.smrv.2021.101532
        • Wakcher S
        • Cross K
        • Blackman MC.
        Personality comparison of airline pilot incumbents, applicants, and the general population norms on the 16pf.
        Psychol Rep. 2003; 92 (Pt 1): 773-780https://doi.org/10.2466/pr0.2003.92.3.773