Prescribing laughter to ameliorate mental health, sleep, and wellbeing in university students: A protocol for a feasibility study of a randomised controlled trial

Freda N Gonot-Schoupinsky, Gulcan Garip, David Sheffield, Omar M Omar, Teresa Arora, Freda N Gonot-Schoupinsky, Gulcan Garip, David Sheffield, Omar M Omar, Teresa Arora

Abstract

Objectives: This research is the first study to investigate the potential effects of a laughter prescription on both psychological health and objective sleep parameters in university students. The primary objective is to evaluate the feasibility of prescribing laughter to inform a larger randomised controlled trial. Secondary objectives are to assess if a two-week laughter prescription improves subjective and objective sleep outcomes, wellbeing, and/or psychological health outcomes.

Trial design: To assess the feasibility of a randomised controlled trial for laughter prescription in relation to sleep, psychological health, and wellbeing. Forty university students will be recruited and randomised to one of two conditions (control/experimental).

Methods: Wrist actigraphy and sleep diaries will be used to estimate sleep outcomes during a one-week baseline testing phase and across the two-week intervention. The experimental group will be shown how to record a Laughie (a 1-min recording of their joyful laughter on their smartphone) and prescribed to laugh with it three times daily for 14 days (the control group will only track sleep). All participants will complete the WHO (Five) Well-being Index, and Hospital Anxiety and Depression Scale pre- and post-intervention. The CONSORT checklist, and the Feasibility, Reach-out, Acceptability, Maintenance, Efficacy, Implementation, and Tailorabilty (FRAME-IT) framework will guide intervention planning and evaluation. Participant interviews will be analysed using Differential Qualitative Analysis (DQA).

Results: The feasibility of a two-week laughter prescription in university students and its impact on sleep, wellbeing, and/or psychological health outcomes will be assessed.

Conclusions: Zayed University Research Ethics Committee approved the study in July 2019. The research will be completed following protocol publication.

Trial registration: ClinicalTrials.gov. ID: NCT04171245. Date of registration: 18 October 2019.

Keywords: ANCOVA, Analysis of Covariance; BPSE-B, Biological; CBT, Cognitive Behavioural Therapy; DQA, Differential Qualitative Analysis; Environmental, and Behavioural; FRAME-IT, Feasibility; Feasibility study; HADS, Hospital Anxiety Depression Scale; IQR, Interquartile Range; ITT, Intention To Treat; Implementation, Tailorability; Laughter prescription; Maintenance, Efficacy; PI, Principal Investigator; PSG, Polysomnography; PSQI, Pittsburgh Sleep Quality Index; Psychological health; Psychological, Social and socio-economic; RCT, Randomised Controlled Trial; Randomised controlled trial; Reach-out, Acceptability; SE, Sleep Efficiency; SOL, Sleep Onset Latency; Sleep; TST, Total Sleep Time; UAE, United Arab Emirates; University students; WASO, Wake After Sleep Onset; WHO, World Health Organization; Wellbeing.

© 2020 Published by Elsevier Inc.

Figures

Fig. 1
Fig. 1
Smart laughter techniques and instructions for recording and using the Laughie. Note. Instructions for the experimental group: 1. Your recording should sound like your natural joyful and playful laughter. If it doesn't, practice and record another Laughie! 2. Try to make the Laughie an enjoyable experience! You can add visual props (e.g. a mirror – laughing in front of a mirror), gestures (e.g. moving your arms, or legs, as well as sitting); mental aspects (e.g. thinking about joyful or amusing things, or using humour and jokes to help you to laugh); or social (e.g. laughing together with someone else while using your Laughie). 3. This is a new way of laughing and for some might be easier than others. Practice can help. 4. Because you will be laughing alone, for all or some of the time, it is good to find a reason to do it! Reason may include for health, happiness, joy, humour, exercise, relaxation, meditation, and energy. Based on and adapted [19].

References

    1. Al Maktoum M.B.R. Explorer Publishing; Dubai, UAE: 2017. Reflections on Happiness and Positivity.
    1. Razzak H.A., Harbi A., Ahli S. Depression: prevalence and associated risk factors in the United Arab Emirates. Oman Med J. 2019;34(4):274–282.
    1. World Health Organization . Global Health Estimates. 2017. Depression and other common mental disorders. Accessed.
    1. Al-Darmaki F., Thomas J., Yaaqeib S. Mental health beliefs amongst Emirati female college students. Community Ment Health J. 2016;52(2):233–238.
    1. Mellal A.A., Albluwe T., Al-Ashkar D. The prevalence of depressive symptoms and its socioeconomic determinants among university students in Al Ain, UAE. International Journal of Pharmacy and Pharmaceutical Sciences. 2014;6(5):309–312.
    1. Thomas J., Altareb B. Cognitive vulnerability to depression: an exploration of dysfunctional attitudes and ruminative response styles in the United Arab Emirates. Psychol Psychother. 2012;85(1):117–121.
    1. Thomas J., Raynor M., Bahussain E. Stress reactivity, depressive symptoms, and mindfulness: a Gulf Arab perspective. International Perspectives in Psychology: Research, Practice, Consultation. 2016;5(3):156–166.
    1. Alonso J., Mortier P., Auerbach R.P. Severe role impairment associated with mental disorders: results of the WHO world mental health surveys international college student Project. Depress Anxiety. 2018;35(9):802–814.
    1. Becker S.P., Jarrett M.A., Luebbe A.M., Garner A.A., Burns G.L., Kofler M.J. Sleep in a large, multi-university sample of college students: sleep problem prevalence, sex differences, and mental health correlates. Sleep Health. 2018;4(2):174–181.
    1. Taylor P., Saheb R., Howse E. Creating healthier graduates, campuses and communities: why Australia needs to invest in health promoting universities. Health Promot J Austr. 2019;30(2):285–289.
    1. Alsaggaf M.A., Wali S.O., Merdad R.A., Merdad L.A. Sleep quantity, quality, and insomnia symptoms of medical students during clinical years. Relationship with stress and academic performance. Saudi Med J. 2016;37(2):173–182.
    1. Azad M.C., Fraser K., Rumana N. Sleep disturbances among medical students: a global perspective. J Clin Sleep Med. 2015;11(1):69–74.
    1. Arora T., Hosseini-Araghi M., Bishop J., Yao G.L., Thomas G.N., Taheri S. The complexity of obesity in U.K. adolescents: relationships with quantity and type of technology, sleep duration and quality, academic performance and aspiration. Pediatr Obes. 2013;8(5):358–366.
    1. Al-Khani A.M., Sarhandi M.I., Zaghloul M.S., Ewid M., Saquib N. A cross-sectional survey on sleep quality, mental health, and academic performance among medical students in Saudi Arabia. BMC Research Notes. 2019;12(665)
    1. Almutairi K.M., Alonazi W.B., Vinluan J.M. Health promoting lifestyle of university students in Saudi Arabia: a cross-sectional assessment. BMC Public Health. 2018;18(1):1093.
    1. Friedrich A., Schlarb A.A. Let's talk about sleep: a systematic review of psychological interventions to improve sleep in college students. J Sleep Res. 2018;27(1):4–22.
    1. Gonot-Schoupinsky F.N., Garip G., Sheffield D. Laughter and humour for personal development: a systematic scoping review of the evidence. European Journal of Integrative Medicine. 2020
    1. Zhao J., Yin H., Zhang G. A meta-analysis of randomized controlled trials of laughter and humour interventions on depression, anxiety and sleep quality in adults. J Adv Nurs. 2019;75(11):2435–2448.
    1. Gonot-Schoupinsky F.N., Garip G. Prescribing laughter to increase well-being in healthy adults: an exploratory mixed methods feasibility study of the Laughie. European Journal of Integrative Medicine. 2019;26:56–64.
    1. Julious S.A. Sample size of 12 per group rule of thumb for a pilot study. Pharmceutical Statistics. 2005;4(4):287–291.
    1. Bell M.L., Whitehead A.L., Julious S.A. Guidance for using pilot studies to inform the design of intervention trials with continuous outcomes. Clin Epidemiol. 2018;10:153–157.
    1. Zigmond A.S., Snaith R.P. The hospital anxiety and depression scale. Acta Psychiatr Scand. 1983;67(6):361–370.
    1. World Health Organization. WHO (five) well-being index (1998 version). Accessed 22 July, 2020.
    1. Buysse D.J., Reynolds C.F., 3rd, Monk T.H., Berman S.R., Kupfer D.J. The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Res. 1989;28(2):193–213.
    1. Chan Y.F., Leung D.Y., Fong D.Y., Leung C.M., Lee A.M. Psychometric evaluation of the Hospital Anxiety and Depression Scale in a large community sample of adolescents in Hong Kong. Qual Life Res. 2010;19(6):865–873.
    1. Topp C.W., Ostergaard S.D., Sondergaard S., Bech P. The WHO-5 Well-Being Index: a systematic review of the literature. Psychother Psychosom. 2015;84(3):167–176.
    1. Dietch J.R., Taylor D.J., Sethi K., Kelly K., Bramoweth A.D., Roane B.M. Psychometric evaluation of the PSQI in U.S. College students. J Clin Sleep Med. 2016;12(8):1121–1129.
    1. Full K.M., Kerr J., Grandner M.A. Validation of a physical activity accelerometer device worn on the hip and wrist against polysomnography. Sleep Health. 2018;4(2):209–216.
    1. Cole R.J., Kripke D.F., Gruen W., Mullaney D.J., Gillin J.C. Automatic sleep/wake identification from wrist activity. Sleep. 1992;15(5):461–469.
    1. Gonot-Schoupinsky F.N., Garip G. A flexible framework for planning and evaluating early-stage health interventions: frame-it. Eval Program Plann. 2019;77:101685.
    1. Gonot-Schoupinsky F.N., Garip G. Differential qualitative analysis: a pragmatic qualitative methodology to support personalised healthcare research in heterogenous samples. The Qualitative Report. 2019;24(12):2997–3007.
    1. Gonot-Schoupinsky F.N., Garip G. Laughter and humour interventions for well-being in older adults: a systematic review and intervention classification. Complement Ther Med. 2018;38:85–91.

Source: PubMed

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