期刊论文详细信息
Trials
‘TXT2BFiT’ a mobile phone-based healthy lifestyle program for preventing unhealthy weight gain in young adults: study protocol for a randomized controlled trial
Margaret Allman-Farinelli1  Adrian Bauman3  Mark Harris4  Elizabeth Denney-Wilson2  Kevin McGeechan3  Kate Balestracci1  Lana Hebden1 
[1] School of Molecular Bioscience, University of Sydney, Sydney, NSW 2006, Australia;Faculty of Health, University of Technology Sydney, Sydney, NSW, 2008, Australia;Sydney School of Public Health, University of Sydney, Sydney, NSW, 2006, Australia;Centre for Primary Health Care and Equity, University of New South Wales, Sydney, 2052, Australia
关键词: Primary healthcare;    Overweight;    Weight loss;    Intervention studies;    Text messaging;    Mobile phone;    Young adult;   
Others  :  1094535
DOI  :  10.1186/1745-6215-14-75
 received in 2013-01-28, accepted in 2013-03-07,  发布年份 2013
PDF
【 摘 要 】

Background

Despite international efforts to arrest increasing rates of overweight and obesity, many population strategies have neglected young adults as a target group. Young adults are at high risk for unhealthy weight gain which tends to persist throughout adulthood with associated chronic disease health risks.

Methods/design

TXT2BFiT is a nine month two-arm parallel-group randomized controlled trial aimed at improving weight management and weight-related dietary and physical activity behaviors among young adults. Participants are recruited via general practice (primary medical care) clinics in Sydney, New South Wales, Australia. All participants receive a mailed resource outlining national physical activity and dietary guidelines and access to the study website. Additional resources accessible to the intervention arm via the study website include Smartphone mobile applications, printable handouts, an interactive healthy weight tracker chart, and a community blog. The study consists of two phases: (1) Intensive phase (weeks 1 to 12): the control arm receives four short message service (SMS) text messages; the intervention arm receives eight SMS messages/week tailored to their baseline stage-of-change, one Email/week, and personalized coaching calls during weeks 0, 2, 5, 8, and 11; and (2) Maintenance phase (weeks 14 to 36): the intervention arm receives one SMS message/month, one Email/month and booster coaching calls during months 5 and 8. A sample of N = 354 (177 per arm) is required to detect differences in primary outcomes: body weight (kg) and body mass index (kg/m2), and secondary outcomes: physical activity, sitting time, intake of specific foods, beverages and nutrients, stage-of-change, self-efficacy and participant well-being, at three and nine months. Program reach, costs, implementation and participant engagement will also be assessed.

Discussion

This mobile phone based program addresses an important gap in obesity prevention efforts to date. The method of intervention delivery is via platforms that are highly accessible and appropriate for this population group. If effective, further translational research will be required to assess how this program might operate in the broader community.

Trial registration

Australian New Zealand Clinical Trials Registry ACTRN12612000924853

【 授权许可】

   
2013 Hebden et al.; licensee BioMed Central Ltd.

【 预 览 】
附件列表
Files Size Format View
20150130174140195.pdf 530KB PDF download
Figure 1. 137KB Image download
【 图 表 】

Figure 1.

【 参考文献 】
  • [1]Finucane MM, Stevens GA, Cowan MJ, Danaei G, Lin JK, Paciorek CJ, Singh GM, Gutierrez HR, Lu Y, Bahalim AN, et al.: National, regional, and global trends in body-mass index since 1980: systematic analysis of health examination surveys and epidemiological studies with 960 country-years and 9·1 million participants. Lancet 2011, 377:557-567.
  • [2]Nichols MS, Swinburn BA: Selection of priority groups for obesity prevention: current approaches and development of an evidence-informed framework. Obes Rev 2010, 11:731-739.
  • [3]Allman-Farinelli MA, Chey T, Bauman AE, Gill T, James WPT: Age, period and birth cohort effects on prevalence of overweight and obesity in Australian adults from 1990 to 2000. Eur J Clin Nutr 2008, 62:898-907.
  • [4]Diouf I, Charles MA, Ducimetiere P, Basdevant A, Eschwege E, Heude B: Evolution of obesity prevalence in France: an age-period-cohort analysis. Epidemiology 2010, 21:360-365.
  • [5]Reither EN, Hauser RM, Yang Y: Do birth cohorts matter? Age-period-cohort analyses of the obesity epidemic in the United States. Soc Sci Med 2009, 69:1439-1448.
  • [6]Lewis CE, Jacobs DR, McCreath H, Kiefe CI, Schreiner PJ, Smith DE, Williams OD: Weight gain continues in the 1990s: 10-year trends in weight and overweight from the CARDIA study. Am J Epidemiol 2000, 151:1172-1181.
  • [7]Arnett JJ: Emerging adulthood: a theory of development from the late teens through the twenties. Am Psychol 2000, 55:469-480.
  • [8]Folsom AR, Jacobs DR Jr, Wagenknecht LE, Winkhart SP, Yunis C, Hilner JE, Savage PJ, Smith DE, Flack JM: Increase in fasting insulin and glucose over seven years with increasing weight and inactivity of young adults. Am J Epidemiol 1996, 144:235-246.
  • [9]Norman JE, Bild D, Lewis CE, Liu K, West DS: The impact of weight change on cardiovascular disease risk factors in young black and white adults: the CARDIA study. Int J Obesity 2003, 27:369-376.
  • [10]Shihab HM, Meoni LA, Chu AY, Wang NY, Ford DE, Liang KY, Gallo JJ, Klag MJ: Body mass index and risk of incident hypertension over the life course: the Johns Hopkins precursors study. Circulation 2012, 126:2983-2989.
  • [11]Lu L, Risch H, Irwin ML, Mayne ST, Cartmel B, Schwartz P, Rutherford T, Yu H: Long-term overweight and weight gain in early adulthood in association with risk of endometrial cancer. Int J Cancer 2011, 129:1237-1243.
  • [12]Hankinson AL, Daviglus ML, Bouchard C, Carnethon M, Lewis CE, Schreiner PJ, Liu K, Sidney S: Maintaining a high physical activity level over 20 years and weight gain. JAMA 2010, 304:2603-2610.
  • [13]De Cocker KA, van Uffelen JGZ, Brown WJ: Associations between sitting time and weight in young adult Australian women. Prev Med 2010, 51:361-367.
  • [14]Duffey KJ, Gordon-Larsen P, Steffen LM, Jacobs DR, Popkin BM: Drinking caloric beverages increases the risk of adverse cardiometabolic outcomes in the coronary artery risk development in young adults (CARDIA) study. Am J Clin Nutr 2010, 92:954-959.
  • [15]Larson N, Neumark-Sztainer D, Laska MN, Story M: Young adults and eating away from home: associations with dietary intake patterns and weight status differ by choice of restaurant. J Am Diet Assoc 2011, 111:1696-1703.
  • [16]Sherwood NE, Jeffery RW, French SA, Hannan PJ, Murray DM: Predictors of weight gain in the Pound of Prevention study. Int J Obes 2000, 24:395-403.
  • [17]Kimmons J, Gillespie C, Seymour J, Serdula M, Blanck HM: Fruit and vegetable intake among adolescents and adults in the United States: percentage meeting individualized recommendations. Medscape J Med 2009, 11:26.
  • [18]Boeing H, Bechthold A, Bub A, Ellinger S, Haller D, Kroke A, Leschik-Bonnet E, Muller MJ, Oberritter H, Schulze M, et al.: Critical review: vegetables and fruit in the prevention of chronic diseases. Eur J Nutr 2012, 51:637-663.
  • [19]Hebden L, Chey T, Allman-Farinelli M: Lifestyle intervention for preventing weight gain in young adults: a systematic review and meta-analysis of RCTs. Obes Rev 2012, 13:692-710.
  • [20]Gokee LaRose J, Gorin AA, Clarke MM, Wing RR: Beliefs about weight gain among young adults: potential challenges to prevention. Obesity 2011, 19:1901-1904.
  • [21]ICT data and statistics. http://www.itu.int/ITU-D/ict/statistics/index.html webcite
  • [22]Young adults and teens lead growth among Smartphone owners. http://www.nielsen.com/us/en/newswire/2012/young-adults-and-teens-lead-growth-among-smartphone-owners.html webcite
  • [23]Smith A: Americans and text messaging. Washington, D.C.: Pew Research Centre; 2011.
  • [24]Australian Government Department of Health and Aged Care: An active way to better health. National physical activity guidelines for adults. Canberra: ACT; 1999.
  • [25]National Health and Medical Research Council: Australian dietary guidelines incorporating the Australian guide to healthy eating - providing the scientific evidence for healthier Australian diets (draft for public consultation, December 2011). Canberra: ACT: National Health and Medical Research Council; 2011.
  • [26]Prochaska J, DiClemente C, Norcross J: In search of how people change: applications to addictive behaviors. Am J Psychol 1992, 47:1102-1114.
  • [27]Pearson ES: Goal setting as a health behavior change strategy in overweight and obese adults: a systematic review examining intervention components. Patient Educ Couns 2012, 87:32-42.
  • [28]Rubak S, Sandbaek A, Lauritzen T, Christensen B: Motivational interviewing: a systematic review and meta-analysis. Br J Gen Pract 2005, 55:305-312.
  • [29]Saris WHM, Blair SN, Van Baak MA, Eaton SB, Davies PSW, Di Pietro L, Fogelholm M, Rissanen A, Schoeller D, Swinburn B, et al.: How much physical activity is enough to prevent unhealthy weight gain? Outcome of the IASO first stock conference and consensus statement. Obes Rev 2003, 4:101-114.
  • [30]TXT2BFiT Trial website. http://txt2bfit.com/ webcite
  • [31]World Health Organization: Obesity, preventing and managing the global epidemic: report of the WHO consultation of obesity. Geneva: World Health Organization; 2000.
  • [32]Hebden L, Cook A, van der Ploeg PH, Allman-Farinelli M: Development of Smartphone applications for nutrition and physical activity behavior change. JMIR Res Protoc 2012, 1:e9.
  • [33]Dishman RK, Vandenberg RJ, Motl RW, Nigg CR: Using constructs of the transtheoretical model to predict classes of change in regular physical activity: a multi-ethnic longitudinal cohort study. Ann Behav Med 2010, 40:150-163.
  • [34]Horwath CC, Nigg CR, Motl RW, Wong KT, Dishman RK: Investigating fruit and vegetable consumption using the transtheoretical model. Am J Health Promot 2010, 24:324-333.
  • [35]Lamb R, Sissons JM: The stage model and processes of change in dietary fat reduction. J Hum Nutr Diet 1996, 9:43-53.
  • [36]Wiedemann AU, Lippke S, Reuter T, Schüz B, Ziegelmann JP, Schwarzer R: Prediction of stage transitions in fruit and vegetable intake. Health Educ Res 2009, 24:596-607.
  • [37]Wright JA, Velicer WF, Prochaska JO: Testing the predictive power of the transtheoretical model of behavior change applied to dietary fat intake. Health Educ Res 2009, 24:224-236.
  • [38]Rolls BJ, Ello-Martin JA, Tohill BC: What Can intervention studies tell Us about the relationship between fruit and vegetable consumption and weight management? Nutr Rev 2004, 62:1-17.
  • [39]Greaney ML, Less FD, White AA, Dayton SF, Riebe D, Blissmer B, Shoff S, Walsh JR, Greene GW: College students’ barriers and enablers for healthful weight management: a qualitative study. J Nutr Educ Behav 2009, 41:281-286.
  • [40]Hattersley L, Irwin M, King L, Allman-Farinelli M: Determinants and patterns of soft drink consumption in young adults: a qualitative analysis. Public Health Nutr 2009, 12:1816-1822.
  • [41]Australian bureau of statistics, 2011, Census Dictionary, 2011, cat. no. 2901.0, Viewed 30 July 2011. http://www.abs.gov.au/ausstats/abs@.nsf/Latestproducts/2901.0Main%20Features12011?opendocument&tabname=Summary&prodno=2901.0&issue=2011&num=&view= webcite
  • [42]Australian Bureau of Statistics: Socio-economic indexes for areas (SEIFA) - technical paper, 2006, cat. no. 2039.0.55.001, Viewed 30 July 2011. 2008. http://www.abs.gov.au/AUSSTATS/abs@.nsf/Lookup/2039.0.55.001Main+Features12006?OpenDocument webcite
  • [43]Rutishauser I, Webb K, Abraham B, Allsopp R: Evaluation of short dietary questions from the 1995 national nutrition survey. Canberra, ACT: Australian Food and Nutrition Monitoring Unit & Department of Health and Aged Care; 2001.
  • [44]Smith K, McNaughton S, Gall S, Blizzard L, Dwyer T, Venn A: Takeaway food consumption and its associations with diet quality and abdominal obesity: a cross-sectional study of young adults. Int J Behav Nutr Phy 2009, 6:29. BioMed Central Full Text
  • [45]Pollard C, Miller M, Woodman RJ, Meng R, Binns C: Changes in knowledge, beliefs, and behaviors related to fruit and vegetable consumption among Western Australian adults from 1995 to 2004. Am J Public Health 2009, 99:355-361.
  • [46]Giles GG, Ireland PD: Dietary questionnaire for epidemiological studies (version 2). Melbourne: The Cancer Council Victoria; 1996.
  • [47]Dinger MK, Behrens TK, Han JL: Validity and reliability of the international physical activity questionnaire in college students. Am J Health Educ 2006, 37:337-343.
  • [48]Marshall AL, Miller YD, Burton NW, Brown WJ: Measuring total and domain-specific sitting: a study of reliability and validity. Med Sci Sports Exerc 2010, 42:1094-1102.
  • [49]Marcus B: Self efficacy and the stages of exercise behavior change. Res Q Exerc Sport 1992, 63:60-66.
  • [50]Neumark-Sztainer D, Wall M, Haines J, Story M, Sherwood NE, van den Berg P: Shared risk and protective factors for overweight and disordered eating in adolescents. Am J Prev Med 2007, 33:359-369.
  • [51]WHO-five well-being index. http://www.who-5.org/ webcite
  • [52]Tang J, Kushner R, Thompson J, Baker D: Physician counseling of young adults with rapid weight gain: a retrospective cohort study. BMC Fam Pract 2010, 11:31. BioMed Central Full Text
  • [53]Britt H: Problems managed in general practice - bettering the evaluation and care of health (BEACH). The University of Sydney: Family Medicine Research Centre; 2010.
  • [54]Cole-Lewis H, Kershaw T: Text messaging as a tool for behavior change in disease prevention and management. Epidemiol Rev 2010, 32:56-69.
  • [55]Fjeldsoe B, Marshall A, Miller Y: Behavior change interventions delivered by mobile telephone short-message service. Am J Prev Med 2009, 36:165-173.
  • [56]Wei J, Hollin I, Kachnowski S: A review of the use of mobile phone text messaging in clinical and healthy behavior interventions. J Telemed Telecare 2011, 17:41-48.
  • [57]Stephens J, Allen J: Mobile phone interventions to increase physical activity and reduce weight: a systematic review. J Cardiovasc Nurs 2012. Epub ahead of print
  • [58]Thomee S, Dellve L, Harenstam A, Hagberg M: Perceived connections between information and communication technology use and mental symptoms among young adults - a qualitative study. BMC Publ Health 2010, 10:66. BioMed Central Full Text
  文献评价指标  
  下载次数:15次 浏览次数:23次