Advertisement
Review article| Volume 61, ISSUE 6, P669-677, December 2017

A Systematic Review of Digital Interventions for Improving the Diet and Physical Activity Behaviors of Adolescents

  • Taylor Rose
    Correspondence
    Address correspondence to: Taylor Rose, M.Sc., MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, United Kingdom.
    Affiliations
    MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, United Kingdom
    Search for articles by this author
  • Mary Barker
    Affiliations
    MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, United Kingdom

    NIHR Southampton Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust, University of Southampton, Southampton, United Kingdom
    Search for articles by this author
  • Chandni Maria Jacob
    Affiliations
    Academic Unit of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, United Kingdom
    Search for articles by this author
  • Leanne Morrison
    Affiliations
    Academic Unit of Psychology, University of Southampton, Southampton, United Kingdom
    Search for articles by this author
  • Wendy Lawrence
    Affiliations
    MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, United Kingdom

    NIHR Southampton Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust, University of Southampton, Southampton, United Kingdom
    Search for articles by this author
  • Sofia Strömmer
    Affiliations
    MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, United Kingdom
    Search for articles by this author
  • Christina Vogel
    Affiliations
    MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, United Kingdom

    NIHR Southampton Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust, University of Southampton, Southampton, United Kingdom
    Search for articles by this author
  • Kathryn Woods-Townsend
    Affiliations
    NIHR Southampton Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust, University of Southampton, Southampton, United Kingdom

    Southampton Education School, Faculty of Social and Human Sciences, University of Southampton, Southampton, United Kingdom
    Search for articles by this author
  • David Farrell
    Affiliations
    Glasgow Caledonian University, School of Engineering and Built Environment, Glasgow, United Kingdom
    Search for articles by this author
  • Hazel Inskip
    Affiliations
    MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, United Kingdom

    NIHR Southampton Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust, University of Southampton, Southampton, United Kingdom
    Search for articles by this author
  • Janis Baird
    Affiliations
    MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, United Kingdom

    NIHR Southampton Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust, University of Southampton, Southampton, United Kingdom
    Search for articles by this author

      Abstract

      Many adolescents have poor diet and physical activity behaviors, which can lead to the development of noncommunicable diseases in later life. Digital platforms offer inexpensive means of delivering health interventions, but little is known about their effectiveness. This systematic review was conducted to synthesize evidence on the effectiveness of digital interventions to improve diet quality and increase physical activity in adolescents, to effective intervention components and to assess the cost-effectiveness of these interventions. Following a systematic search, abstracts were assessed against inclusion criteria, and data extraction and quality assessment were performed for included studies. Data were analyzed to identify key features that are associated with significant improvement in behavior.
      A total of 27 studies met inclusion criteria. Most (n = 15) were Web site interventions. Other delivery methods were text messages, games, multicomponent interventions, emails, and social media. Significant behavior change was often seen when interventions included education, goal setting, self-monitoring, and parental involvement. None of the publications reported cost-effectiveness. Due to heterogeneity of studies, meta-analysis was not feasible.It is possible to effect significant health behavior change in adolescents through digital interventions that incorporate education, goal setting, self-monitoring, and parental involvement. Most of the evidence relates to Web sites and further research into alternate media is needed, and longer term outcomes should be evaluated. There is a paucity of data on the cost-effectiveness of digital health interventions, and future trials should report these data.

      Keywords

      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 Journal of Adolescent Health
      Already a print subscriber? Claim online access
      Already an online subscriber? Sign in
      Institutional Access: Sign in to ScienceDirect

      References

        • Cutler G.J.
        • Flood A.
        • Hannan P.
        • Neumark-Sztainer D.
        Major patterns of dietary intake in adolescents and their stability over time.
        J Nutr. 2009; 139: 323-328
        • Larson N.I.
        • Neumark-Sztainer D.
        • Hannan P.J.
        • Story M.
        Trends in adolescent fruit and vegetable consumption, 1999–2004: Project eat.
        Am J Prev Med. 2007; 32: 147-150
        • Larson N.I.
        • Neumark-Sztainer D.R.
        • Story M.T.
        • et al.
        Fast food Intake: Longitudinal trends during the transition to young adulthood and correlates of intake.
        J Adolesc Health. 2008; 43: 79-86
        • Sanchez A.
        • Norman G.J.
        • Sallis J.F.
        • et al.
        Patterns and correlates of physical activity and nutrition behaviors in adolescents.
        Am J Prev Med. 2007; 32: 124-130
        • Doak C.
        • Visschner T.L.
        • Renders C.M.
        • Seidell J.C.
        The prevention of overweight and obesity in children and adolescents: A review of interventions and programmes.
        Obes Rev. 2006; 7: 111-136
        • Lien N.
        • Jacobs Jr., D.R.
        • Klepp K.I.
        Exploring predictors of eating behaviour among adolescents by gender and socio-economic status.
        Public Health Nutr. 2002; 5: 671-681
        • Neumark-Sztainer D.
        • Story M.
        • Perry C.
        • Casey M.A.
        Factors influencing food choices of adolescents.
        J Am Diet Assoc. 1999; 99: 929-937
        • Lamb J.
        • Puskar K.R.
        • Tusaie-Mumford K.
        Adolescent research recruitment issues and strategies: Application in a rural school setting.
        J Pediatr Nurs. 2001; 16: 43-52
        • Lubans D.
        • Dewar D.
        • Morgan P.
        • et al.
        Two-year outcomes from the NEAT Girls obesity prevention cluster randomized controlled trial.
        J Sci Med Sport. 2013; 16: e34
        • Lubans D.
        • Smith J.
        • Plotnikoff R.
        • et al.
        Outcomes from the ATLAS school-based intervention incorporating smartphone technology for adolescent boys: A cluster RCT.
        J Sci Med Sport. 2014; 18: e63
        • Lubans D.R.
        • Morgan P.J.
        • Callister R.
        • Collins C.E.
        Effects of integrating pedometers, parental materials, and E-mail support within an extracurricular school sport intervention.
        J Adolesc Health. 2009; 44: 176-183
        • Covelli M.M.
        Efficacy of a school-based cardiac health promotion intervention program for African-American adolescents.
        Appl Nurs Res. 2008; 21: 173-180
        • Contento I.R.
        • Koch P.A.
        • Lee H.
        • Calabrese-Barton A.
        Adolescents demonstrate improvement in obesity risk behaviors after completion of choice, control & change, a curriculum addressing personal agency and autonomous motivation.
        J Am Diet Assoc. 2010; 110: 1830-1839
        • Straker L.M.
        • Howie E.K.
        • Smith K.L.
        • et al.
        The impact of Curtin University's activity, food and attitudes program on physical activity, sedentary time and fruit, vegetable and junk food consumption among overweight and obese adolescents: A waitlist controlled trial.
        PLoS ONE [Electronic Resource]. 2014; 9: e111954
        • Bogart L.M.
        • Elliot M.N.
        • Uyeda K.
        • et al.
        Preliminary healthy eating outcomes of SNaX, a pilot community-based intervention for adolescents.
        J Adolesc Health. 2011; 48: 196-202
        • Shrewsbury V.A.
        • Nguyen B.
        • O'Connor J.
        • et al.
        Short-term outcomes of community-based adolescent weight management: The Loozit® Study.
        BMC Pediatr. 2011; 11: 1
        • Pearson N.
        • Atkin A.J.
        • Biddle S.J.
        • Gorely T.
        A family-based intervention to increase fruit and vegetable consumption in adolescents: A pilot study.
        Public Health Nutr. 2010; 13: 876-885
        • Neumark-Sztainer D.R.
        • Friend S.E.
        • Flattum C.F.
        • et al.
        New moves—preventing weight-related problems in adolescent girls: A group-randomized study.
        Am J Prev Med. 2010; 39: 421-432
      1. Poushter J. Smartphone Ownership and Internet Usage Continues to Climb in Emerging Economies; but advanced economies still have higher rates of technology use. Washington, DC: Pew Research Center; 2016.

        • Lenhart A.
        Teens, social media & technology Overview 2015.
        Pew Research Center, Washington, DC2015
        • Piwek L.
        • Ellis D.A.
        • Andrews S.
        • Joinson A.
        The rise of consumer health wearables: Promises and barriers.
        PLoS Med. 2016; 13: e1001953
        • Keating S.R.
        • McCurry M.K.
        Systematic review of text messaging as an intervention for adolescent obesity.
        J Am Assoc Nurse Pract. 2015; 27: 714-720
        • Lau P.W.
        • Lau E.Y.
        • Wong D.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: e48
      2. Snapchat. Let's chat, in Snapchat-blog.com. Team stapchat. https://www.snap.com/de-DE/news/post/lets-chat/. Accessed April 7, 2016.

      3. Instagram. Our Story. Available at: https://www.instagram.com/press/?hl=en. Accessed April 7, 2016.

      4. Six to Start. Zombies, Run! History. Available at: https://zombiesrungame.com/presskit/. Accessed April 7, 2016.

      5. Lappan L, Yeh M, Leung M. Technology as a platform for improving healthy behaviors and weight status in children and adolescents: A review. Obes Open Access 1(3): http://dx.doi.org/10.16966/2380-5528.109.

        • National Institute for Health and Care Excellence
        The guidelines manual: PMG6.
        2012 (Available at:) (Accessed April 3, 2016)
        • Kraft P.
        • Yardley L.
        Current issues and new directions in Psychology and Health: What is the future of digital interventions for health behaviour change?.
        Psychology & Health. 2009; 24: 6
        • Yardley L.
        The person-based approach to intervention Development: Application to digital health-related behaviour change interventions.
        J Med Internet Res. 2015; 17: e30
        • Elbert N.J.
        • Van Os-Medendorp H.
        • Van Renselaar W.
        • et al.
        Effectiveness and cost-effectiveness of ehealth interventions in somatic diseases: A systematic review of systematic reviews and meta-analyses.
        J Med Internet Res. 2014; 16: e110
        • Free C.
        • Phillips G.
        • Galli L.
        • et al.
        The effectiveness of mobile-health technology-based health behaviour change or disease management interventions for health care consumers: A systematic review.
        Plos Med. 2013; 10: e1001362
        • Centre for Reviews and Dissemination
        Systematic reviews: CRD's guidance for undertaking reviews in health care.
        University of York, York2009
        • Moher D.
        • Liberati A.
        • Tetzlaff J.
        • et al.
        Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement.
        Ann Intern Med. 2009; 151: 264-269
        • Frenn M.
        • Malin S.
        • Brown R.L.
        • et al.
        Changing the tide: An internet/video exercise and low-fat diet intervention with middle-school students.
        Appl Nurs Res. 2005; 18: 13-21
        • Chen J.L.
        • Weiss S.
        • Heyman M.B.
        • et al.
        The efficacy of the web-based childhood obesity prevention program in Chinese American adolescents (Web ABC study).
        J Adolesc Health. 2011; 49: 148-154
        • Cullen K.W.
        • Thompson D.
        • Boushey C.
        • et al.
        Evaluation of a web-based program promoting healthy eating and physical activity for adolescents: Teen choice: Food and fitness.
        Health Educ Res. 2013; 28: 704-714
        • De Bourdeaudhuij I.
        • Maes L.
        • De Henauw S.
        • et al.
        Evaluation of a computer-tailored physical activity intervention in adolescents in six European countries: The Activ-O-Meter in the HELENA intervention study.
        J Adolesc Health. 2010; 46: 458-466
        • Cook T.L.
        • De Bourdeaudhuij I.
        • Maes L.
        • et al.
        Moderators of the effectiveness of a web-based tailored intervention promoting physical activity in adolescents: The HELENA Activ-O-meter.
        J Sch Health. 2014; 84: 256-266
        • Guthrie N.
        • Bradlyn A.
        • Thompson S.K.
        • et al.
        Development of an accelerometer-linked online intervention system to promote physical activity in adolescents.
        PLoS ONE [Electronic Resource]. 2015; 10: e0128639
        • Patrick K.
        • Norman G.J.
        • Davila E.P.
        • et al.
        Outcomes of a 12-month technology-based intervention to promote weight loss in adolescents at risk for type 2 diabetes.
        J Diabetes Sci Technology. 2013; 7: 759-770
        • Lana A.
        • Faya-Ornia G.
        • Lopez M.L.
        Impact of a web-based intervention supplemented with text messages to improve cancer prevention behaviors among adolescents: Results from a randomized controlled trial.
        Prev Med. 2014; 59: 54-59
        • Sousa P.
        • Fonseca H.
        • Gaspar P.
        • Gaspar F.
        Controlled trial of an Internet-based intervention for overweight teens (Next.Step): Effectiveness analysis.
        Eur J Pediatr. 2015; 174: 1143-1157
        • Jones M.
        • Lynch K.T.
        • Kass A.E.
        • et al.
        Healthy weight regulation and eating disorder prevention in high school students: A universal and targeted web-based intervention.
        J Med Internet Res. 2014; 16: 28-39
        • Williamson D.A.
        • Walden H.M.
        • White M.A.
        • et al.
        Two-year internet-based randomized controlled trial for weight loss in African-American girls.
        Obesity. 2006; 14: 1231-1243
        • Ezendam N.P.
        • Brug J.
        • Oenema A.
        Evaluation of the web-based computer-tailored FATaintPHAT intervention to promote energy balance among adolescents: Results from a school cluster randomized trial.
        Arch Pediatr Adolesc Med. 2012; 166: 248-255
        • Jago R.
        • Baranowski T.
        • Baranowski J.C.
        • et al.
        Fit for life Boy Scout badge: Outcome evaluation of a troop and internet intervention.
        Prev Med. 2006; 42: 181-187
        • Slootmaker S.M.
        • Chinapaw M.J.
        • Seidell J.C.
        • et al.
        Accelerometers and internet for physical activity promotion in youth? Feasibility and effectiveness of a minimal intervention [ISRCTN93896459].
        Prev Med. 2010; 51: 31-36
        • Whittemore R.
        • Jeon S.
        • Grey M.
        An internet obesity prevention program for adolescents.
        J Adolesc Health. 2013; 52: 439-447
        • Maes L.
        • Cook T.L.
        • Ottovaere C.
        • et al.
        Pilot evaluation of the HELENA (healthy Lifestyle in Europe by nutrition in adolescence) food-O-meter, a computer-tailored nutrition advice for adolescents: A study in six European cities.
        Public Health Nutr. 2011; 14: 1292-1302
        • Whittemore R.
        • Chao A.
        • Jang M.
        • et al.
        Implementation of a school-based internet obesity prevention program for adolescents.
        J Nutr Education Behav. 2013; 45: 586-594
        • Thompson D.
        • Baranowski T.
        • Baranowski J.
        • et al.
        Boy Scout 5-a-Day badge: Outcome results of a troop and internet intervention.
        Prev Med. 2009; 49: 518-526
        • Bech-Larsen T.
        • Gronhoj A.
        Promoting healthy eating to children: A text message (SMS) feedback approach.
        Int J Consumer Stud. 2013; 37: 250-256
        • Lau E.Y.
        • Lau P.W.
        • Chung P.K.
        • et al.
        Evaluation of an Internet-short message service-based intervention for promoting physical activity in Hong Kong Chinese adolescent school children: A pilot study.
        Cyberpsychology, Behav Soc Networking. 2012; 15: 425-434
        • Newton K.H.
        • Wiltshire E.J.
        • Elley C.R.
        Pedometers and text messaging to increase physical activity: Randomized controlled trial of adolescents with type 1 diabetes.
        Diabetes Care. 2009; 32: 813-815
        • Sirriyeh R.
        • Lawton R.
        • Ward J.
        Physical activity and adolescents: An exploratory randomized controlled trial investigating the influence of affective and instrumental text messages.
        Br J Health Psychol. 2010; 15 ([Erratum appears in Br J Health Psychol. 2015 May;20(2):447-8]): 825-840
        • Adamo K.B.
        • Rutherford J.A.
        • Goldfield G.S.
        Effects of interactive video game cycling on overweight and obese adolescent health.
        Appl Physiol Nutr Metab. 2010; 35: 805-815
        • Baranowski T.
        • Baranowski J.
        • Thompson D.
        • et al.
        Video game play, child diet, and physical activity behavior change: A randomized clinical trial.
        Am J Prev Med. 2011; 40: 33-38
        • Direito A.
        • Jiang Y.
        • Whittaker R.
        • Maddison R.
        Apps for IMproving FITness and Increasing Physical Activity Among Young People: The AIMFIT Pragmatic Randomized Controlled Trial.
        J Med Internet Res. 2015; 17: e210
        • Abroms L.C.
        • Fagan P.
        • Eisenberg M.E.
        • et al.
        The STRENGTH Ezine: An application of e-mail for health promotion in adolescent girls.
        Am J Health Promot. 2004; 19: 28-32
        • Wojcicki T.R.
        • Grigsby-Toussaint D.
        • Hillman C.H.
        • et al.
        Promoting physical activity in low-active adolescents via Facebook: A pilot randomized controlled trial to test feasibility.
        JMIR Res Protoc. 2014; 3: e56
        • Lubans D.R.
        • Morgan P.J.
        • Collins C.E.
        • et al.
        Exploring the mechanisms of weight loss in the SHED-it intervention for overweight men: A mediation analysis.
        Int J Behav Nutr Phys Activity. 2009; 6: 8
        • Lubans D.R.
        • Morgan P.J.
        • Dewar D.
        • et al.
        The nutrition and enjoyable activity for teen girls (NEAT girls) randomized controlled trial for adolescent girls from disadvantaged secondary schools: Rationale, study protocol, and baseline results.
        BMC Public Health. 2010; 10: 652
        • Dewar D.L.
        • Morgan P.J.
        • Plotnikoff R.C.
        • et al.
        Exploring changes in physical activity, sedentary behaviors and hypothesized mediators in the NEAT girls group randomized controlled trial.
        J Sci Med Sport. 2014; 17: 39-46
        • Lubans D.
        • Morgan P.
        • Okely A.
        • et al.
        Preventing obesity among adolescent girls: Outcomes of the nutrition and enjoyable activity for teen girls cluster randomized controlled trial.
        J Sci Med Sport. 2012; 15: S332
        • Smith J.J.
        • Morgan P.J.
        • Plotnikoff R.C.
        • et al.
        Smart-phone obesity prevention trial for adolescent boys in low-income communities: The ATLAS RCT.
        Pediatrics. 2014; 134: e723-e731
        • Chen J.-L.
        • Wilkosz M.E.
        Efficacy of technology-based interventions for obesity prevention in adolescents: A systematic review.
        Adolesc Health Med Ther. 2014; 5: 159
        • Williamson D.
        • Martin P.D.
        • White M.A.
        • et al.
        Efficacy of an internet-based behavioral weight loss program for overweight adolescent African-American girls.
        Eat Weight Disord. 2005; 10: 193-203
        • Whittemore R.
        • Jaser S.S.
        • Jeon S.
        • et al.
        An internet Coping skills training program for youth with type I diabetes. Six-month outcomes.
        Nurs Res. 2012; 61: 395-404
        • Jones D.J.
        • Forehand R.
        • Cuellar J.
        • et al.
        Technology-enhanced program for child disruptive behavior disorders: Development and pilot randomized control trial.
        J Clin Child Adolesc Psychol, American Psychological Association, Division 53. 2014; 43: 88-101
        • Kelishadi R.
        • Soleiman F.A.
        Controlling childhood obesity: A systematic review on strategies and challenges.
        J Res Med Sci. 2014; 19: 993-1008