Text Messages Promoting Mental Imagery Increase Self-Reported Physical Activity in Older Adults: A Randomized Controlled Study

in Journal of Aging and Physical Activity

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Nicolas Robin
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Lucette Toussaint
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Guillaume R. Coudevylle
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Shelly Ruart
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Olivier Hue
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Stephane Sinnapah
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DOI:
https://doi.org/10.1123/japa.2017-0069
Keywords:
cell phone; health; motor imagery; physical practice
In Print:
Volume 26: Issue 3
Page Range:
462–470
Restricted access

Objective: This study tested whether text messages prompting adults 50 years of age and older to perform mental imagery would increase aerobic physical activity (APA) duration using a randomized parallel trial design. Method: Participants were assigned to an Imagery 1, Imagery 2, or placebo group. For 4 weeks, each group was exposed to two conditions (morning text message vs. no morning text message). In the morning message condition, the imagery groups received a text message with the instruction to mentally imagine performing an APA, and the placebo group received a placebo message. All participants received an evening text message of “Did you do your cardio today? If yes, what did you do?” for 3 days per week. Results: Participants of the imagery groups reported significantly more weekly minutes of APA in the morning text message condition compared with the no morning message condition. Conclusion: Electronic messages were effective at increasing minutes of APA.

Robin, Coudevylle, Ruart, Hue, and Sinnapah are with Faculté des Sciences du Sport, Université des Antilles, Pointe-à-Pitre, France. Robin is also with Laboratoire “Adaptation au Climat Tropical, Exercice & Santé” (UPRES EA 3596), Université des Antilles, Pointe-à-Pitre, France. Toussaint is with Université François Rabelais de Tours, Centre National de la Recherche Scientifique, Centre de Recherches sur la Cognition et l’Apprentissage, Université de Poitiers, Poitiers, France.

Address author correspondence to Nicolas Robin at robin.nicolas@hotmail.fr.
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  • Albinet, C., Boucard, G., Bouquet, C., & Audiffren, M. (2010). Increased heart rate variability and executive performance after aerobic training in the elderly. European Journal of Applied Physiology, 109, 617–624. PubMed ID: 20186426 doi:10.1007/s00421-010-1393-y

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Anderson, M., & Perrin, A. (2017, May). Tech adoption climb among older adults. Pew Research Center. Retrieved from http://assets.pewresearch.org/wp-content/uploads/sites/14/2017/05/16170850/PI_2017.05.17_Older-Americans-Tech_FINAL.pdf

    • Search Google Scholar
    • Export Citation

  • Antoine Parker, C., & Ellis, R. (2016). Effect of electronic messaging on physical activity participation among older adults. Journal of Aging Research, 2016, 1–6. doi:10.1155/2016/6171028

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Argyriou, E. (2012). Consumer intentions to revisit online retailers: A mental imagery account. Psychology & Marketing, 29, 25–35. doi:10.1002/mar.20405

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Blais, M.R., Lachance, L., & Riddle, A. (1991). Validation de la version française de la mesure de désirabilité sociale de Marlowe–Crowne [Validation of the French version of the Marlowe–Crowne measure of social desirability]. Unpublished manuscript, University of Quebec, Montreal, Canada.

    • Search Google Scholar
    • Export Citation

  • Brawley, L.R., & Latimer, A.E. (2007). Physical activity guidelines for Canadians: Strategies for dissemination of the message, expectations for change and evaluation. Applied Physiology, Nutrition, and Metabolism, 32, 189–205. doi:10.1139/H07-159

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Centers for Disease Control and Prevention. (2013). Adult participation in aerobic and muscle strengthening physical activities: United States, 2011. Morbidity and Mortality Weekly Report, 62(17), 326–330.

    • Search Google Scholar
    • Export Citation

  • Chan, C.K., & Cameron, L.D. (2012). Promoting physical activity with goal-oriented mental imagery: A randomized controlled trial. Journal of Behavioral Medicine, 35(3), 347–363. PubMed ID: 21695405 doi:10.1007/s10865-011-9360-6

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Charansonney, O.L. (2011). Physical activity and aging: A life-long story. Discovery Medicine, 12(64), 177–185. PubMed ID: 21955845

  • Cole-Lewis, H., & Kershaw, T. (2010). Text messaging as a tool for behavior change in disease prevention and management. Epidemiologic Reviews, 32, 56–69. PubMed ID: 20354039 doi:10.1093/epirev/mxq004

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Crowne, D., & Marlowe, D. (1960). A new scale of social desirability independent of psychopathology. Journal of Consulting Psychology, 24, 349–354. PubMed ID: 13813058 doi:10.1037/h0047358

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Cumming, J., & Williams, S.E. (2012). The role of imagery in performance. In S. Murphy (Ed.), Handbook of sport and performance psychology (pp. 213–232). New York, NY: Oxford University Press.

    • Search Google Scholar
    • Export Citation

  • Denison, E., Vist, G.E., Underland, V., & Berg, R.C. (2014). Interventions aimed at increasing the level of physical activity by including organised follow-up: A systematic review of effect. BMC Family Practice, 15, 120. PubMed ID: 24934215 doi:10.1186/1471-2296-15-120

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Di Rienzo, F., Blache, Y., Kanthack, T.F., Monteil, K., Collet, C., & Guillot, A. (2015). Short-term effects of integrated motor imagery practice on muscle activation and force performance. Neuroscience, 305, 146–156. PubMed ID: 26241339 doi:10.1016/j.neuroscience.2015.07.080

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Driskell, J.E., Copper, C., & Moran, A. (1994). Does mental practice enhance performance? Journal of Applied Psychology, 79, 481–491.

  • Duncan, L.R., Rodgers, W.M., Hall, C.R., & Wilson, P.M. (2011). Using imagery to enhance three types of exercise self-efficacy among sedentary women. Applied Psychology: Health and Well-Being, 3, 107–126.

    • Search Google Scholar
    • Export Citation

  • Duncan, M., Vandelanotte, C., Kolt, G.S., Rosenkranz, R.R., Caperchione, C.M., George, E.S., … Mummery, W.K. (2014). Effectiveness of a web- and mobile phone-based intervention to promote physical activity and healthy eating in middle-aged males: Randomized controlled trial of the ManUp study. Journal of Medical Internet Research, 16(6), e136. PubMed ID: 24927299 doi:10.2196/jmir.3107

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Fanning, J., Mullen, S.P., & McAuley, E. (2012). Increasing physical activity with mobile devices: A meta-analysis. Journal of Medical Internet Research, 14, e161–e177. doi:10.2196/jmir.2171

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Feltz, D.L., & Landers, D.M. (1983). The effects of mental practice on motor skill learning and performance: A meta-analysis. Journal of Sports Psychology, 5, 25–57. doi:10.1123/jsp.5.1.25

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Fiordelli, M., Diviani, N., & Schulz, P.J. (2013). Mapping mHealth research: A decade of evolution. Journal of Medical Internet Research, 15(5), e95. PubMed ID: 23697600 doi:10.2196/jmir.2430

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Fong, S.S., Ng, S.S., Cheng, Y.T., Zhang, J., Chung, L.M., Chow, G.C., … Macfarlane, D.J. (2016). Comparison between smartphone pedometer applications and traditional pedometers for improving physical activity and body mass index in community-dwelling older adults. Journal of Physical Therapy Science, 28(5), 1651–1656. PubMed ID: 27313391 doi:10.1589/jpts.28.1651

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Fry, J.P., & Neff, R.A. (2009). Periodic prompts and reminders in health promotion and health behavior interventions: Systematic review. Journal of Medical Internet Research, 11, e16 . doi:10.2196/jmir.1138

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Gavilán, B.D., Avello, I.M., & Abril, B.C. (2014). The mediating role of mental imagery in mobile advertising. International Journal of Information Management, 34, 457–464. doi:10.1016/j.ijinfomgt.2014.04.004

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Gell, N.M., Rosenberg, D.E., Demiris, G., LaCroix, A.Z., & Patel, K.V. (2015). Patterns of technology use among older adults with and without disabilities. Gerontologist, 55(3), 412–421. PubMed ID: 24379019 doi:10.1093/geront/gnt166

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Gerber, B.S., Stolley, M.R., Thompson, A.L., Sharp, L.K., & Fitzgibbon, M.L. (2009). Mobile phone text messaging to promote healthy behaviors and weight loss maintenance: A feasibility study. Health Informatics Journal, 15, 17–25. PubMed ID: 19218309 doi:10.1177/1460458208099865

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Gerber, T., Olazabal, V., Brown, K., & Pablos-Mendez, A. (2010). An agenda for action on global e-health. Health Affair (Millwood), 29(2), 233–236. doi:10.1377/hlthaff.2009.0934

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Giacobbi, P.R., Buman, M.P., Dzierzewski, J., Aiken-Morgan, A.T., Roberts, B., Marsiske, M., … Smith-McCrae, C. (2014). Content and perceived utility of mental imagery by older adults in a peer-delivered physical activity intervention. Journal of Applied Sport Psychology, 26(2), 129–143. PubMed ID: 25067894 doi:10.1080/10413200.2013.803502

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Guillot, A., & Collet, C. (2008). Construction of the motor imagery integrative model in sport: A review and theoretical investigation of motor imagery use. International Review of Sport and Exercise Psychology, 1, 31–44.

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Hall, A.K., Cole-Lewis, H., & Bernhardt, J.M. (2015). Mobile text messaging for health: A systematic review of reviews. Annual Review of Public Health, 36, 393–415. doi:10.1146/annurev-publhealth-031914-122855

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Hall, C.R. (2001). Imagery in sport and exercise. In R.N Murphy, H.A Hausenblas, & C.M Janelle (Eds.), Handbook of sport psychology (2nd ed., pp. 529–549). New York, NY: John Wiley & Sons.

    • Search Google Scholar
    • Export Citation

  • Hall, C.R., Mack, D., Paivio, A., & Hausenblas, H. (1998). Imagery use by athletes: Development of the sport imagery questionnaire. International Journal of Sport Psychology, 29, 73–89.

    • Search Google Scholar
    • Export Citation

  • Hall, C.R., & Martin, K. (1997). Measuring movement imagery abilities: A revision of the Movement Imagery Questionnaire. Journal of Mental Imagery, 21, 143–154. doi:10.1037/t07979-000

    • Search Google Scholar
    • Export Citation

  • Hausenblas, H., Hall, C.R., Rodgers, W., & Munroe-Chandler, J. (1999). Exercise imagery: Its nature and measurement. Journal of Applied Sport Psychology, 11, 171–180. doi:10.1080/10413209908404198

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Head, K., Noar, S., Iannarino, N., & Harrington, N. (2013). Efficacy of text messaging-based interventions for health promotion: A meta-analysis. Social Science & Medicine, 97, 41–48. PubMed ID: 24161087 doi:10.1016/j.socscimed.2013.08.003

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Hosseini, S.S. (2011). The effect of aquatic and mental trainings on balance in elderly males. Middle-East Journal of Scientific Research, 7, 296–302.

    • Search Google Scholar
    • Export Citation

  • Jarus, T., & Ratzon, N.Z. (2000). Can you imagine? The effect of mental practice on the acquisition and retention of a motor skill as a function of age. Occupational Therapy Journal of Research, 20, 163–178. doi:10.1177/153944920002000302

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Johnston, W., Hoffman, S., & Thornton, L. (2014). Mobile health: A synopsis and comment on “Increasing physical activity with mobile devices: A meta-analysis.” Translational Behavioral Medicine, 4(1), 4–6. PubMed ID: 24653771 doi:10.1007/s13142-014-0254-3

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Kalicinski, M., & Lobinger, B. (2013). Benefits of motor and exercise imagery for older adults. Journal of Imagery Research in Sport and Physical Activity, 8, 61–75. doi:10.1515/jirspa-2012-0003

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Kim, B.H., & Giacobbi, P.R. (2009). The use of exercise-related mental imagery by middle-aged adults. Journal of Imagery Research in Sport and Physical Activity, 4, 1–38. doi:10.2202/1932-0191.1031

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Kim, B.H., & Glanz, K. (2013). Text messaging to motivate walking in older African Americans: A randomized controlled trial. American Journal of Preventive Medicine, 44, 71–75. PubMed ID: 23253653 doi:10.1016/j.amepre.2012.09.050

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Kim, B.H., Newton, R.A., Sachs, M.L., Giacobbi, P.R., & Glutting, J.J. (2011). The effect of guided relaxation and exercise imagery on self-reported leisure-time exercise behaviors in older adults. Journal of Aging and Physical Activity, 19, 137–146. PubMed ID: 21558568 doi:10.1123/japa.19.2.137

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Kosslyn, S.M., Ganis, G., & Thompson, W.L. (2001). Neural foundations of imagery. Nature Reviews Neuroscience, 2(9), 635–642. PubMed ID: 11533731 doi:10.1038/35090055

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Lao, A. (2011). Etude exploratoire des effets de l'imagerie mentale issue de la présentation des produits sur un site marchand: proposition d'un modèle conceptuel de recherche [Exploratory study on the effects of mental imagery stemming from the presentation of products on a retail website: Proposal of an abstract model]. Revue Management & Avenir, 44, 101–123. doi:10.3917/mav.044.0101

    • Search Google Scholar
    • Export Citation

  • Leavy, J., Bull, F., Rosenberg, M., & Bauman, A. (2011). Physical activity mass media campaigns and their evaluation: A systematic review of the literature 2003–2010. Health Education Research, 26, 1060–1085. PubMed ID: 21900408 doi:10.1093/her/cyr069

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Lee, Y.H., & Cheng, Q. (2009). When uncertainty brings pleasure: The role of prospect imageability and mental imagery. Journal of Consumer Research, 36, 624–633. doi:10.1086/599766

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Lorant, J., & Nicolas, N. (2004). Validation de la traduction française du Movement Imagery Questionnaire-Revised (MIQ-R) [Validation of the French translation of the Movement Imagery Questionnaire-Revised (MIQ-R)]. Sciences et Motricité, 53, 57–68. PubMed ID: 28986969 doi:10.3917/sm.053.0057

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Malouin, F., & Richards, C.L. (2010). Mental practice for relearning locomotor skills. Physical Therapy, 90, 240–251. PubMed ID: 20022993 doi:10.2522/ptj.20090029

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Martin, K.A., & Hall, C.R. (1995). Using mental imagery to enhance intrinsic motivation. Journal of Sport & Exercise Psychology, 17, 54–69. doi:10.1123/jsep.17.1.54

    • Crossref
    • Search Google Scholar
    • Export Citation

  • McPhee, J.S., French, D.P., Jackson, D., Nazroo, J., Pendleton, N., & Degens, H. (2016). Physical activity in older age: Perspectives for healthy ageing and frailty. Biogerontology, 17(3), 567–580. PubMed ID: 26936444 doi:10.1007/s10522-016-9641-0

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Morton, K., Sutton, S., Hardeman, W., Troughton, J., Yates, T., Griffin, S., … Eborall, H. (2015). A text-messaging and pedometer program to promote physical activity in people at high risk of type 2 diabetes: The development of the propels follow-on support program. JMIR Mhealth and Uhealth, 3(4), e105. PubMed ID: 26678750 doi:10.2196/mhealth.5026

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Muller, A.M., Khoo, S., & Morris, T. (2016). Text messaging for exercise promotion in older adults from an upper-middle-income country: Randomized controlled trial. Journal of Medical Internet Research, 18(1), e5. PubMed ID: 26742999 doi:10.2196/jmir.5235

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Murphy, S.M., & Jowdy, D.P. (1992). Imagery and mental practice. In T.S. Horn (Ed.), Advances in sport psychology (pp. 221–250). Champaign, IL: Human Kinetics.

    • Search Google Scholar
    • Export Citation

  • Myers, M., & Gonda, G. (1986). Research on physical activity in the elderly: Practical implications for program planning. Canadian Journal on Aging, 5, 175–188. doi:10.1017/S0714980800005092

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Nordin, S.M., & Cumming, J. (2007). Where, when and how: A quantitative account of dance imagery. Research Quarterly for Exercise and Sport, 78, 390–395. PubMed ID: 17941544 doi:10.1080/02701367.2007.10599437

    • Search Google Scholar
    • Export Citation

  • O’Reilly, G.A., & Spruijt-Metz, D. (2013). Current mHealth technologies for physical activity assessment and promotion. American Journal of Preventive Medicine, 45(4), 501–507. PubMed ID: 24050427 doi:10.1016/j.amepre.2013.05.012

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Paivio, A. (1985). Cognitive and motivational functions of imagery in human performance. Canadian Journal of Applied Sport Sciences, 10, 22–28. PubMed ID: 4085129

    • Search Google Scholar
    • Export Citation

  • Prestwich, A., Perugini, M., & Hurling, R. (2010). Can implementation intentions and text messages promote brisk walking? A randomized trial. Health Psychology, 29, 40–49. PubMed ID: 20063934 doi:10.1037/a0016993

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Robin, N., Dominique, L., Toussaint, L., Blandin, Y., Guillot, A., & Le Her, M. (2007). Effects of motor imagery training on returning serve accuracy in tennis: The role of imagery ability. International Journal of Sport and Exercise Psychology, 2, 177–188. doi:10.1080/1612197X.2007.9671818

    • Search Google Scholar
    • Export Citation

  • Rodero, E. (2012). See it on a radio story. Sound effects and shots to evoked imagery and attention on audio fiction. Communication Research, 39, 458–479. doi:10.1177/0093650210386947

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Rulleau, T., Mauvieux, B., & Toussaint, L. (2015). Influence of circadian rhythms on the temporal features of motor imagery for older adult inpatients. Archives of Physical Medicine and Rehabilitation, 96, 1229–1234. PubMed ID: 25731938 doi:10.1016/j.apmr.2015.02.015

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Rushall, B.S. (1991). Imagery training in sports: A handbook for athletes, coaches, and sport psychologists. Spring Valley, CA: Sports Science Associates. Published in Australia by the Australian Coaching Council, Canberra, ACT.

    • Search Google Scholar
    • Export Citation

  • Saimpont, A., Malouin, F., Tousignant, B., & Jackson, P.L. (2015). Assessing motor imagery ability in younger and older adults by combining measures of vividness, controllability and timing of motor imagery. Brain Research, 1597, 196–209. PubMed ID: 25481412 doi:10.1016/j.brainres.2014.11.050

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Selwyn, N., Gorard, S., Furlong, J., & Madden, L. (2003). Older adults’ use of information and communications technology in everyday life. Ageing & Society, 23, 561–582. doi:10.1017/S0144686X03001302

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Short, S.E., Tenute, A., & Feltz, D.L. (2005). Imagery use in sport: Mediational effects for efficacy. Journal of Sports Sciences, 23, 951–960. PubMed ID: 16195047 doi:10.1080/02640410400023373

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Slimani, M., Tod, D., Chaabene, H., Miarka, B., & Chamari, K. (2016). Effects of mental imagery on muscular strength in healthy and patient participants: A systematic review. Journal of Sports Science and Medicine, 15(3), 434–450. PubMed ID: 27803622

    • Search Google Scholar
    • Export Citation

  • Stoter, A.J.R., Scherder, E.J.A., Kamsma, Y.P.T., & Mulder, T. (2008). Rehearsal strategies during motor-sequence learning in old age: Execution vs motor imagery. Perceptual and Motor Skills, 106, 967–978. PubMed ID: 18712219 doi:10.2466/pms.106.3.967-978

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Studenski, S., Perera, S., Hile, E., Keller, V., Spadola-Bogard, J., & Garcia, J. (2010). Interactive video dance games for healthy older adults. The Journal of Nutrition, Health & Aging, 14(10), 850–852. doi:10.1007/s12603-010-0119-5

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Sun, F., Norman, I.J., & While, A.E. (2013). Physical activity in older people: A systematic review. BMC Public Health, 13, 449. PubMed ID: 23648225 doi:10.1186/1471-2458-13-449

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Tabak, M., Op den Akker, H., & Hermens, H. (2014). Motivational cues as real-time feedback for changing daily activity behavior of patients with COPD. Patient Education and Counseling, 94, 372–378. PubMed ID: 24332934 doi:10.1016/j.pec.2013.10.014

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Target, C. (2012). La method Target [The target method]. Editions Chiron. Paris: Chiron.

  • Taylor, D. (2014). Physical activity is medicine for older adults. Postgraduate Medical Journal, 90(1059), 26–32. PubMed ID: 24255119 doi:10.1136/postgradmedj-2012-131366

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Vandelanotte, C., Short, C., Plotnikoff, R.C., Hooker, C., Canoy, D., Rebar, A., … Duncan, M.J. (2015). TaylorActive—Examining the effectiveness of web-based personally-tailored videos to increase physical activity: A randomised controlled trial protocol. BMC Public Health, 15, 1020. PubMed ID: 26438225 doi:10.1186/s12889-015-2363-4

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Verardi, D., Dahourou, J., Ah-Kion, U., Bhowon, C.N., Tseung, D., Amoussou-Yeye, M., … Rossier, J. (2010). Psychometric properties of the Marlowe–Crowne Social Desirability Scale in eight African countries and Switzerland. Journal of Cross-Cultural Psychology, 41(1), 19–34. doi:10.1177/0022022109348918

    • Crossref
    • Search Google Scholar
    • Export Citation

  • World Health Organization. (2011). Global status report on noncommunicable diseases 2010. Geneva, Switzerland: WHO Press.

  • World Health Organization. (2013). Diet and physical activity factsheet. Secondary Diet and Physical Activity Factsheet 2013. Retrieved from http://www.who.int/dietphysicalactivity/factsheet_inactivity/en/index.html

    • Search Google Scholar
    • Export Citation
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