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BMC Public Health
Published in: BMC Public Health 1/2013

Open Access 01-12-2013 | Study protocol

Gamified physical activation of young men – a Multidisciplinary Population-Based Randomized Controlled Trial (MOPO study)

Authors: Riikka Ahola, Riitta Pyky, Timo Jämsä, Matti Mäntysaari, Heli Koskimäki, Tiina M Ikäheimo, Maija-Leena Huotari, Juha Röning, Hannu I Heikkinen, Raija Korpelainen

Published in: BMC Public Health | Issue 1/2013

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Abstract

Background

Inactive and unhealthy lifestyles are common among adolescent men. The planned intervention examines the effectiveness of an interactive, gamified activation method, based on tailored health information, peer networks and participation, on physical activity, health and wellbeing in young men. We hypothesize that following the intervention the physical activation group will have an improved physical activity, as well as self-determined and measured health compared with the controls.

Methods/design

Conscription-aged men (18 years) attending compulsory annual call-ups for military service in the city of Oulu in Finland (n = 1500) will be randomized to a 6-months intervention (n = 640) or a control group (n = 640) during the fall 2013. A questionnaire on health, health behaviour, diet and wellbeing is administered in the beginning and end of the intervention. In addition, anthropometric measures (height, weight and waist circumference), body composition, grip strength, heart rate variability and aerobic fitness will be measured. The activation group utilizes an online gamified activation method in combination with communal youth services, objective physical activity measurement, social networking, tailored health information and exercise programs according to baseline activity level and the readiness of changes of each individual. Daily physical activity of the participants is monitored in both the activation and control groups. The activation service rewards improvements in physical activity or reductions in sedentary behaviour. The performance and completion of the military service of the participants will also be followed.

Discussion

The study will provide new information of physical activity, health and health behaviour of young men. Furthermore, a novel model including methods for increasing physical activity among young people is developed and its effects tested through an intervention. This unique gamified service for activating young men can provide a translational model for community use. It can also be utilized as such or tailored to other selected populations or age groups.

Trial registration

ClinicalTrials.gov Identifier: NCT01376986
Appendix
Available only for authorised users
Literature
1.
Danaei G, Ding EL, Mozaffarian D, Taylor B, Rehm J, Murray CJ, Ezzati M: The preventable causes of death in the United States: comparative risk assessment of dietary, lifestyle, and metabolic risk factors. PLoS Med. 2009, 6 (4): e1000058-10.1371/journal.pmed.1000058.CrossRefPubMedPubMedCentral
2.
O'Gorman DJ, Krook A: Exercise and the treatment of diabetes and obesity. Endocrinol Metab Clin North Am. 2008, 37 (4): 887-903. 10.1016/j.ecl.2008.07.006.CrossRefPubMed
3.
4.
Yang X, Telama R, Leskinen E, Mansikkaniemi K, Viikari J, Raitakari OT: Testing a model of physical activity and obesity tracking from youth to adulthood: the cardiovascular risk in young Finns study. Int J Obes (Lond). 2007, 31 (3): 521-527. 10.1038/sj.ijo.0803459.CrossRef
5.
Tammelin T, Näyhä S, Laitinen J, Rintamäki H, Järvelin M-R: Physical activity and social status in adolescence as predictors of physical inactivity in adulthood. Prev Med. 2003, 37 (4): 375-381. 10.1016/S0091-7435(03)00162-2.CrossRefPubMed
6.
Biddle SJ, Pearson N, Ross GM, Braithwaite R: Tracking of sedentary behaviours of young people: a systematic review. Prev Med. 2010, 51 (5): 345-351. 10.1016/j.ypmed.2010.07.018.CrossRefPubMed
7.
Tammelin T, Ekelund U, Remes J, Näyhä S: Physical activity and sedentary behaviors among finnish youth. Med Sci Sports Exerc. 2007, 39 (7): 1067-1074. 10.1249/mss.0b13e318058a603.CrossRefPubMed
8.
Whitt-Glover MC, Taylor WC, Floyd MF, Yore MM, Yancey AK, Matthews CE: Disparities in physical activity and sedentary behaviors among US children and adolescents: Prevalence, correlates, and intervention implications. J Public Health Policy. 2009, 30 (Suppl 1): S309-S334.CrossRefPubMed
9.
Troiano RP, Berrigan D, Dodd KW, Masse LC, Tilert T, McDowell M: Physical activity in the United States measured by accelerometer. Med Sci Sports Exerc. 2008, 40 (1): 181-188.CrossRefPubMed
10.
Telama R, Yang X: Decline of physical activity from youth to young adulthood in Finland. Med Sci Sports Exerc. 2000, 32 (9): 1617-1622.CrossRefPubMed
11.
Mikkola I, Jokelainen JJ, Timonen MJ, Härkönen PK, Saastamoinen E, Laakso MA, Peitso AJ, Juuti A-K, Keinänen-Kiukaanniemi SM, Mäkinen TM: Physical activity and body composition changes during military service. Med Sci Sports Exerc. 2009, 41 (9): 1735-1742. 10.1249/MSS.0b013e31819fcd3c.CrossRefPubMed
12.
Santtila M, Kyrölainen H, Vasankari T, Tiainen S, Palvalin K, Häkkinen A, Häkkinen K: Physical fitness profiles in young Finnish men during the years 1975–2004. Med Sci Sports Exerc. 2006, 38 (11): 1990-1994. 10.1249/01.mss.0000232023.28984.78.CrossRefPubMed
13.
Owen N, Bauman A, Brown W: Too much sitting: a novel and important predictor of chronic disease risk?. Br J Sports Med. 2009, 43 (2): 81-83.CrossRefPubMed
14.
Tremblay MS, LeBlanc AG, Kho ME, Saunders TJ, Larouche R, Colley RC, Goldfield G, Gorber SC: Systematic review of sedentary behaviour and health indicators in school-aged children and youth. Int J Behav Nutr Phys Act. 2011, 8: 98-10.1186/1479-5868-8-98.CrossRefPubMedPubMedCentral
15.
Kantomaa MT, Tammelin TH, Näyhä S, Taanila AM: Adolescents' physical activity in relation to family income and parents' education. Prev Med. 2007, 44 (5): 410-415. 10.1016/j.ypmed.2007.01.008.CrossRefPubMed
16.
Kantomaa MT, Tammelin TH, Ebeling HE, Taanila AM: Emotional and behavioral problems in relation to physical activity in youth. Med Sci Sports Exerc. 2008, 40 (10): 1749-1756. 10.1249/MSS.0b013e31817b8e82.CrossRefPubMed
17.
Kantomaa MT, Tammelin TH, Demakakos P, Ebeling HE, Taanila AM: Physical activity, emotional and behavioural problems, maternal education and self-reported educational performance of adolescents. Health Educ Res. 2010, 25 (2): 368-379. 10.1093/her/cyp048.CrossRefPubMed
18.
van Sluijs EM, McMinn AM, Griffin SJ: Effectiveness of interventions to promote physical activity in children and adolescents: systematic review of controlled trials. BMJ. 2007, 335 (7622): 703-10.1136/bmj.39320.843947.BE.CrossRefPubMedPubMedCentral
19.
Jago R, McMurray RG, Drews KL, Moe EL, Murray T, Pham TH, Venditti EM, Volpe SL: HEALTHY intervention: fitness, physical activity, and metabolic syndrome results. Med Sci Sports Exerc. 2011, 43 (8): 1513-1522. 10.1249/MSS.0b013e31820c9797.CrossRefPubMedPubMedCentral
20.
Neville LM, O'Hara B, Milat A: Computer-tailored physical activity behavior change interventions targeting adults: A systematic review. Int J Behav Nutr Phys Act. 2009, 6: 30-10.1186/1479-5868-6-30.CrossRefPubMedPubMedCentral
21.
Enwald HP, Huotari M-L: Preventing the obesity epidemic by second generation tailored health communication: an interdisciplinary review. J Med Internet Res. 2010, 12 (2): e24-10.2196/jmir.1409.CrossRefPubMedPubMedCentral
22.
Johnson A, Sackett R: Direct systematic observation of behaviour. Handbook of Methods in Cultural Anthropology. Edited by: Bernard HR. 1998, Altamira Press, Walnut Creek, California, USA, 301-331.
23.
Joralemon D: Exploring medical anthropology. 2005, Allyn & Bacon, Boston
24.
Kleinman A, Das V, Lock M: Social Suffering. 1997, University of California Press, Berkeley
25.
Fisher MM: Four generations for a recombinant anthropology of science and technology. Cult Anthropol. 2007, 22 (4): 539-615. 10.1525/can.2007.22.4.539.CrossRef
26.
Lau PW, Lau EY, del Wong P, Ransdell L: A systematic review of information and communication technology-based interventions for promoting physical activity behavior change in children and adolescents. J Med Internet Res. 2011, 13 (3): e48-10.2196/jmir.1533.CrossRefPubMedPubMedCentral
27.
Slootmaker SM, Chinapaw MJ, Seidell JC, van Mechelen W, Schuit AJ: Accelerometers and Internet for physical activity promotion in youth? Feasibility and effectiveness of a minimal intervention. Prev Med. 2010, 51 (1): 31-36. 10.1016/j.ypmed.2010.03.015.CrossRefPubMed
28.
Baranowski T, Baranowski J, Cullen KW, Marsh T, Islam N, Zakeri I, Honess-Morreale L, de Moor C: Squire's Quest! Dietary outcome evaluation of a multimedia game. Am J Prev Med. 2003, 24 (1): 52-61. 10.1016/S0749-3797(02)00570-6.CrossRefPubMed
29.
Brown SJ, Lieberman DA, Germeny BA, Fan YC, Wilson DM, Pasta DJ: Educational video game for juvenile diabetes: results of a controlled trial. Med Inform (Lond). 1997, 22 (1): 77-89. 10.3109/14639239709089835.CrossRef
30.
van den Berg MH, Schoones JW, Vliet Vlieland TP: Internet-based physical activity interventions: a systematic review of the literature. J Med Internet Res. 2007, 9 (3): e26-10.2196/jmir.9.3.e26.CrossRefPubMedPubMedCentral
31.
Peng W: Design and evaluation of a computer game to promote a healthy diet for young adults. Health Commun. 2009, 24 (2): 115-127. 10.1080/10410230802676490.CrossRefPubMed
32.
Maddison R, Foley L, Ni Mhurchu C, Jiang Y, Jull A, Prapavessis H, Hohepa M, Rodgers A: Effects of active video games on body composition: a randomized controlled trial. Am J Clin Nutr. 2011, 94 (1): 156-163. 10.3945/ajcn.110.009142.CrossRefPubMed
33.
Merry SN, Stasiak K, Shepherd M, Frampton C, Fleming T, Lucassen MF: The effectiveness of SPARX, a computerised self help intervention for adolescents seeking help for depression: randomised controlled non-inferiority trial. BMJ. 2012, 344: e2598-10.1136/bmj.e2598.CrossRefPubMedPubMedCentral
34.
Baranowski T, Buday R, Thompson DI, Baranowski J: Playing for real: video games and stories for health-related behavior change. Am J Prev Med. 2008, 34 (1): 74-82. 10.1016/j.amepre.2007.09.027.CrossRefPubMedPubMedCentral
35.
36.
37.
Appelqvist-Schmidlechner K, Upanne M, Henriksson M, Parkkola K, Stengard E: Young men exempted from compulsory military or civil service in Finland–a group of men in need of psychosocial support?. Scand J Public Health. 2010, 38 (2): 168-176. 10.1177/1403494809357103.CrossRefPubMed
38.
Prochaska JO, DiClemente CC: Stages and processes of self-change of smoking: toward an integrative model of change. J Consult Clin Psychol. 1983, 51 (3): 390-395.CrossRefPubMed
39.
Hirvonen N, Huotari M-L, Niemelä R, Korpelainen R: Information behavior in stages of exercise behavior change. J Am Soc Inf Sci Technol. 2012, 63 (9): 1804-1819. 10.1002/asi.22704.CrossRef
40.
Cooper KH: A means of assessing maximal oxygen intake. Correlation between field and treadmill testing. JAMA. 1968, 203 (3): 201-204. 10.1001/jama.1968.03140030033008.CrossRefPubMed
41.
Brugniaux JV, Niva A, Pulkkinen I, Laukkanen RM, Richalet JP, Pichon AP: Polar Activity Watch 200: a new device to accurately assess energy expenditure. Br J Sports Med. 2010, 44 (4): 245-249. 10.1136/bjsm.2007.045575.CrossRefPubMed
42.
Virtanen P, Kidwell R, Kinnunen H, Finn KJ: Measurement of the intensity of physical activity in children and adolescents [abstract]. Med Sci Sports Exerc. 2011, 43: 601-CrossRef
43.
Virtanen P, Huotari E, Kaikkonen K, Kinnunen H: Measurement of children's physical activity from the wrist [abstract]. 14th Annual Congress of the European College of Sport Science, 24–27. 2009, June , Oslo, Norway
44.
Hautala A, Martinmäki K, Kiviniemi A, Kinnunen H, Virtanen P, Jaatinen J, Tulppo M: Effects of habitual physical activity on response to endurance training. J Sports Sci. 2012, 30 (6): 563-569. 10.1080/02640414.2012.658080.CrossRefPubMed
45.
Kiviniemi AM, Hautala AJ, Kinnunen H, Nissilä J, Virtanen P, Karjalainen J, Tulppo MP: Daily exercise prescription on the basis of hr variability among men and women. Med Sci Sports Exerc. 2010, 42 (7): 1355-1363.CrossRefPubMed
46.
Kinnunen H, Tanskanen M, Kyröläinen H, Westerterp KR, Kinnunen H, Tanskanen M, Kyröläinen H, Westerterp KR: Wrist-worn accelerometers in assessment of energy expenditure during intensive training. Physiol Meas. 2012, 33 (11): 1841-1854. 10.1088/0967-3334/33/11/1841.CrossRefPubMed
47.
Borodulin K, Laatikainen T, Juolevi A, Jousilahti P: Thirty-year trends of physical activity in relation to age, calendar time and birth cohort in Finnish adults. Eur J Public Health. 2008, 18 (3): 339-344. 10.1093/eurpub/ckm092.CrossRefPubMed
48.
Siirtola P, Laurinen P, Haapalainen E, Röning J, Kinnunen H: Clustering-based activity classification with a wrist-worn accelerometer using basic features. Proceedings of the 2009 IEEE Symposium on Computational Intelligence and Data Mining. 2009, 95-100.CrossRef
49.
Siirtola P, Koskimäki H, Röning J: Periodic quick test for classifying long-term activities. Proceedings of the IEEE SSCI 2011: Symposium Series on Computational Intelligence - CIDM 2011: 2011 IEEE Symposium on Computational Intelligence and Data Mining. 2011, 135-140.
50.
Siirtola P, Röning J: User independent human activity recognition using a mobile phone: offline recognition vs. realtime on device recognition. In: volume 151 of Advances in Intelligent and Soft Computing, pp. 617--627. Springer Berlin / Heidelberg. Distributed Computing and Artificial Intelligence, volume 151 of Advances in Intelligent and Soft Computing. 2012, Springer, Berlin / Heidelberg, 617-627.CrossRef
51.
Raitasalo R: Studies in social security and health 86. Mood questionnaire. Finnish modification of the short form of the Beck Depression Inventory measuring depression symptoms and self-esteem. 2007, The Social Insurance Institution, Finland, Helsinki
52.
Beck AT, Ward CH, Mendelson M, Mock J, Erbaugh J: An inventory for measuring depression. Arch Gen Psychiatry. 1961, 4: 561-571. 10.1001/archpsyc.1961.01710120031004.CrossRefPubMed
53.
Watson J: Male bodies: health, culture and identity. 2000, Open University Press, Buckingham
54.
Krumeich A, Weijts W, Reddy P, Meijer-Weitz A: The benefits of anthropological approaches for health promotion research and practice. Health Educ Res. 2001, 16 (2): 121-130. 10.1093/her/16.2.121.CrossRefPubMed
55.
Brett JA, Heimendinger J, Boender C, Morin C, Marshall JA: Using ethnography to improve intervention design. Am J Health Promot. 2002, 16 (6): 331-340. 10.4278/0890-1171-16.6.331.CrossRefPubMed
56.
Thomson R, Brinkworth GD, Buckley JD, Noakes M, Clifton PM: Good agreement between bioelectrical impedance and dual-energy X-ray absorptiometry for estimating changes in body composition during weight loss in overweight young women. Clin Nutr. 2007, 26 (6): 771-777. 10.1016/j.clnu.2007.08.003.CrossRefPubMed
57.
Crouter SE, Albright C, Bassett DR: Accuracy of polar S410 heart rate monitor to estimate energy cost of exercise. Med Sci Sports Exerc. 2004, 36 (8): 1433-1439. 10.1249/01.MSS.0000135794.01507.48.CrossRefPubMed
58.
Gamelin FX, Baquet G, Berthoin S, Bosquet L: Validity of the polar S810 to measure R-R intervals in children. Int J Sports Med. 2008, 29 (2): 134-138. 10.1055/s-2007-964995.CrossRefPubMed
59.
Adams J, White M: Why don't stage-based activity promotion interventions work?. Health Educ Res. 2005, 20 (2): 237-243.CrossRefPubMed
60.
Norman GJ, Zabinski MF, Adams MA, Rosenberg DE, Yaroch AL, Atienza AA: A review of eHealth interventions for physical activity and dietary behavior change. Am J Prev Med. 2007, 33 (4): 336-345. 10.1016/j.amepre.2007.05.007.CrossRefPubMedPubMedCentral
61.
Resnick PJ, Janney AW, Buis LR, Richardson CR: Adding an online community to an internet-mediated walking program. Part 2: strategies for encouraging community participation. J Med Internet Res. 2010, 12 (4): e72-10.2196/jmir.1339.CrossRefPubMedPubMedCentral
62.
Strecher VJ, McClure J, Alexander G, Chakraborty B, Nair V, Konkel J, Greene S, Couper M, Carlier C, Wiese C, Little R, Pomerleau C, Pomerleau O: The role of engagement in a tailored web-based smoking cessation program: randomized controlled trial. J Med Internet Res. 2008, 10 (5): e36-10.2196/jmir.1002.CrossRefPubMedPubMedCentral
Metadata
Title
Gamified physical activation of young men – a Multidisciplinary Population-Based Randomized Controlled Trial (MOPO study)
Authors
Riikka Ahola
Riitta Pyky
Timo Jämsä
Matti Mäntysaari
Heli Koskimäki
Tiina M Ikäheimo
Maija-Leena Huotari
Juha Röning
Hannu I Heikkinen
Raija Korpelainen
Publication date
01-12-2013
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2013
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/1471-2458-13-32

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