The Effectiveness of Sequentially Delivered Web-Based Interventions on Promoting Physical Activity and Fruit-Vegetable Consumption Among Chinese College Students: Mixed Methods Study

Yanping Duan, Wei Liang, Yanping Wang, Sonia Lippke, Zhihua Lin, Borui Shang, Julien Steven Baker, Yanping Duan, Wei Liang, Yanping Wang, Sonia Lippke, Zhihua Lin, Borui Shang, Julien Steven Baker

Abstract

Background: Web-based interventions for multiple health behavior change (MHBC) appear to be a promising approach to change unhealthy habits. Limited research has tested this assumption in promoting physical activity (PA) and fruit-vegetable consumption (FVC) among Chinese college students. Moreover, the timing of MHBC intervention delivery and the order of components need to be addressed.

Objective: This study aims to examine the effectiveness of 2 sequentially delivered 8-week web-based interventions on physical activity, FVC, and health-related outcomes (BMI, depression, and quality of life) and the differences in the intervention effects between the 2 sequential delivery patterns. The study also aims to explore participants' experiences of participating in the health program.

Methods: We conducted a randomized controlled trial, in which 552 eligible college students (mean 19.99, SD 1.04 years, 322/552, 58.3% female) were randomly assigned to 1 of 3 groups: PA-first group (4 weeks of PA followed by 4 weeks of FVC intervention), FVC-first group (4 weeks of FVC followed by 4 weeks of PA intervention), and a control group (8 weeks of placebo treatment unrelated to PA and FVC). The treatment content of two intervention groups was designed based on the Health Action Process Approach (HAPA) framework. A total of four web-based assessments were conducted: at baseline (T1, n=565), after 4 weeks (T2, after the first behavior intervention, n=486), after 8 weeks (T3, after the second behavior intervention, n=420), and after 12 weeks (T4, 1-month postintervention follow-up, n=348). In addition, after the completion of the entire 8-week intervention, 18 participants (mean 19.56, SD 1.04 years, 10/18, 56% female) who completed the whole program were immediately invited to attend one-to-one and face-to-face semistructured interviews. The entire study was conducted during the fall semester of 2017.

Results: The quantitative data supported superior effects on physical activity, FVC, and BMI in the 2 sequential intervention groups compared with the control group. There were no significant differences in physical activity, FVC, and health-related outcomes between the 2 intervention groups after 8 weeks. The FVC-first group contributed to more maintenance of FVC compared with the PA-first group after 12 weeks. Four major themes with several subthemes were identified in the qualitative thematic analysis: PA and FVC behavior, health-related outcomes, correlates of behavior change, and contamination detection.

Conclusions: This study provides empirical evidence for the effectiveness of sequentially delivered, web-based MHBC interventions on PA and FVC among Chinese college students. The timing issue of MHBC intervention delivery was preliminarily addressed. Qualitative findings provide an in-depth understanding and supplement the quantitative findings. Overall, this study may contribute considerably to future web-based MHBC interventions.

Trial registration: ClinicalTrials.gov NCT03627949; https://ichgcp.net/clinical-trials-registry/NCT03627949.

International registered report identifier (irrid): RR2-10.1186/s12889-019-7438-1.

Keywords: college students; fruit-vegetable consumption; health action process approach; mixed methods; physical activity; qualitative research; quantitative research; web-based intervention.

Conflict of interest statement

Conflicts of Interest: None declared.

©Yanping Duan, Wei Liang, Yanping Wang, Sonia Lippke, Zhihua Lin, Borui Shang, Julien Steven Baker. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 26.01.2022.

Figures

Figure 1
Figure 1
CONSORT (Consolidated Standards of Reporting Trials) flow diagram. FVC: fruit-vegetable consumption; PA: physical activity; PE: physical education.
Figure 2
Figure 2
Mean values for 3 groups from timepoints T1 to T4. (A) weekly amount of physical activity (metabolic equivalent of task-min/week). (B) daily portion of fruit and vegetable consumption (portion/day). FVC: fruit-vegetable consumption; PA: physical activity.
Figure 3
Figure 3
Mean values for 3 groups from timepoints T1 to T4. (A) BMI (kg/m2). (B) Depression. (C) Quality of life. FVC: fruit-vegetable consumption; PA: physical activity.

References

    1. Oosterveen E, Tzelepis F, Ashton L, Hutchesson MJ. A systematic review of eHealth behavioral interventions targeting smoking, nutrition, alcohol, physical activity and/or obesity for young adults. Prev Med. 2017;99:197–206. doi: 10.1016/j.ypmed.2017.01.009.S0091-7435(17)30033-6
    1. Global recommendations on physical activity for health. World Health Organization. 2010. [2022-01-11]. .
    1. Xu X, Pu Y, Sharma M, Rao Y, Cai Y, Zhao Y. Predicting physical activity and healthy nutrition behaviors using social cognitive theory: cross-sectional survey among undergraduate students in Chongqing, China. Int J Environ Res Public Health. 2017 Nov 05;14(11):1346. doi: 10.3390/ijerph14111346. ijerph14111346
    1. Fruit and vegetables for health : report of the Joint FAO/WHO Workshop on Fruit and Vegetables for Health. World Health Organization. 2004. [2022-01-11]. .
    1. Li X, Yang H, Yang F. Influences of campus environment on physical activity participation of college students. J Wuhan Inst Phys Educ (in Chinese) 2018;52:74–81. doi: 10.15930/j.cnki.wtxb.2018.01.012.
    1. Aune D, Giovannucci E, Boffetta P, Fadnes LT, Keum N, Norat T, Greenwood DC, Riboli E, Vatten LJ, Tonstad S. Fruit and vegetable intake and the risk of cardiovascular disease, total cancer and all-cause mortality-a systematic review and dose-response meta-analysis of prospective studies. Int J Epidemiol. 2017;46(3):1029–56. doi: 10.1093/ije/dyw319. 3039477
    1. Dietz WH, Douglas CE, Brownson RC. Chronic disease prevention: tobacco avoidance, physical activity, and nutrition for a healthy start. J Am Med Assoc. 2016;316(16):1645–6. doi: 10.1001/jama.2016.14370.2556015
    1. Plotnikoff RC, Costigan SA, Williams RL, Hutchesson MJ, Kennedy SG, Robards SL, Allen J, Collins CE, Callister R, Germov J. Effectiveness of interventions targeting physical activity, nutrition and healthy weight for university and college students: a systematic review and meta-analysis. Int J Behav Nutr Phys Act. 2015;12:45. doi: 10.1186/s12966-015-0203-7. 10.1186/s12966-015-0203-7
    1. Liang W, Duan YP, Shang BR, Wang YP, Hu C, Lippke S. A web-based lifestyle intervention program for Chinese college students: study protocol and baseline characteristics of a randomized placebo-controlled trial. BMC Public Health. 2019;19(1):1097. doi: 10.1186/s12889-019-7438-1. 10.1186/s12889-019-7438-1
    1. Duan Y, Shang B, Liang W, Du G, Yang M, Rhodes RE. Effects of ehealth-based multiple health behavior change interventions on physical activity, healthy diet, and weight in people with noncommunicable diseases: systematic review and meta-analysis. J Med Internet Res. 2021;23(2):e23786. doi: 10.2196/23786. v23i2e23786
    1. Duff OM, Walsh DM, Furlong BA, O'Connor NE, Moran KA, Woods CB. Behavior change techniques in physical activity eHealth interventions for people with cardiovascular disease: systematic review. J Med Internet Res. 2017;19(8):e281. doi: 10.2196/jmir.7782. v19i8e281
    1. Lippke S, Fleig L, Wiedemann AU, Schwarzer R. A computerized lifestyle application to promote multiple health behaviors at the workplace: testing its behavioral and psychological effects. J Med Internet Res. 2015;17(10):e225. doi: 10.2196/jmir.4486. v17i10e225
    1. Webb TL, Joseph J, Yardley L, Michie S. Using the internet to promote health behavior change: a systematic review and meta-analysis of the impact of theoretical basis, use of behavior change techniques, and mode of delivery on efficacy. J Med Internet Res. 2010;12(1):e4. doi: 10.2196/jmir.1376. v12i1e4
    1. Epton T, Norman P, Dadzie A, Harris PR, Webb TL, Sheeran P, Julious SA, Ciravegna F, Brennan A, Meier PS, Naughton D, Petroczi A, Kruger J, Shah I. A theory-based online health behaviour intervention for new university students (U@Uni): results from a randomised controlled trial. BMC Public Health. 2014;14:563. doi: 10.1186/1471-2458-14-563. 1471-2458-14-563
    1. Geller K, Lippke S, Nigg CR. Future directions of multiple behavior change research. J Behav Med. 2017;40(1):194–202. doi: 10.1007/s10865-016-9809-8.10.1007/s10865-016-9809-8
    1. Lippke S, Nigg CR, Maddock JE. Health-promoting and health-risk behaviors: theory-driven analyses of multiple health behavior change in three international samples. Int J Behav Med. 2012;19(1):1–13. doi: 10.1007/s12529-010-9135-4.
    1. Södergren M, McNaughton SA, Salmon J, Ball K, Crawford DA. Associations between fruit and vegetable intake, leisure-time physical activity, sitting time and self-rated health among older adults: cross-sectional data from the WELL study. BMC Public Health. 2012;12:551. doi: 10.1186/1471-2458-12-551. 1471-2458-12-551
    1. Prochaska JJ, Prochaska JO. A review of multiple health behavior change interventions for primary prevention. Am J Lifestyle Med. 2011;5(3):208–21. doi: 10.1177/1559827610391883.
    1. King AC, Castro CM, Buman MP, Hekler EB, Urizar GG, Ahn DK. Behavioral impacts of sequentially versus simultaneously delivered dietary plus physical activity interventions: the CALM trial. Ann Behav Med. 2013;46(2):157–68. doi: 10.1007/s12160-013-9501-y.
    1. Persky I, Spring B, Vander Wal JS, Pagoto S, Hedeker D. Adherence across behavioral domains in treatment promoting smoking cessation plus weight control. Health Psychol. 2005;24(2):153–60. doi: 10.1037/0278-6133.24.2.153.2005-02260-004
    1. Fleig L, Kerschreiter R, Schwarzer R, Pomp S, Lippke S. 'Sticking to a healthy diet is easier for me when I exercise regularly': cognitive transfer between physical exercise and healthy nutrition. Psychol Health. 2014;29(12):1361–72. doi: 10.1080/08870446.2014.930146.
    1. Prochaska JJ, Spring B, Nigg CR. Multiple health behavior change research: an introduction and overview. Prev Med. 2008;46(3):181–8. doi: 10.1016/j.ypmed.2008.02.001. S0091-7435(08)00052-2
    1. James E, Freund M, Booth A, Duncan MJ, Johnson N, Short CE, Wolfenden L, Stacey FG, Kay-Lambkin F, Vandelanotte C. Comparative efficacy of simultaneous versus sequential multiple health behavior change interventions among adults: a systematic review of randomised trials. Prev Med. 2016;89:211–23. doi: 10.1016/j.ypmed.2016.06.012.S0091-7435(16)30137-2
    1. Miao M, Gan Y, Gan T, Zhou G. Carry-over effect between diet and physical activity: the bottom-up and top-down hypotheses of hierarchical self-efficacy. Psychol Health Med. 2017;22(3):266–74. doi: 10.1080/13548506.2016.1160134.
    1. Jayawardene WP, Torabi MR, Lohrmann DK. Exercise in young adulthood with simultaneous and future changes in fruit and vegetable intake. J Am Coll Nutr. 2016;35(1):59–67. doi: 10.1080/07315724.2015.1022268.
    1. Duan YP, Wienert J, Hu C, Si GY, Lippke S. Web-based intervention for physical activity and fruit and vegetable intake among Chinese university students: a randomized controlled trial. J Med Internet Res. 2017;19(4):e106. doi: 10.2196/jmir.7152. v19i4e106
    1. Schwarzer R. Modeling health behavior change: how to predict and modify the adoption and maintenance of health behaviors. Applied Psychol. 2008;57(1):1–29. doi: 10.1111/j.1464-0597.2007.00325.x.
    1. Schwarzer R. Health Action Process Approach (HAPA) as a theoretical framework to understand behavior change. Actualidades en Psicología. 2016;30(121):119–30. doi: 10.15517/ap.v30i121.23458.
    1. Duan YP, Liang W, Guo L, Wienert J, Si GY, Lippke S. Evaluation of a web-based intervention for multiple health behavior changes in patients with coronary heart disease in home-based rehabilitation: pilot randomized controlled trial. J Med Internet Res. 2018;20(11):e12052. doi: 10.2196/12052. v20i11e12052
    1. Zhang C, Zhang R, Schwarzer R, Hagger MS. A meta-analysis of the health action process approach. Health Psychol. 2019;38(7):623–37. doi: 10.1037/hea0000728.2019-19139-001
    1. Ivankova NV, Creswell J, Stick SL. Using mixed-methods sequential explanatory design: from theory to practice. Field Methods. 2006;18(1):3–20. doi: 10.1177/1525822X05282260.
    1. Vickerstaff V, Omar R, Ambler G. Methods to adjust for multiple comparisons in the analysis and sample size calculation of randomised controlled trials with multiple primary outcomes. BMC Med Res Methodol. 2019;19(1):129. doi: 10.1186/s12874-019-0754-4. 10.1186/s12874-019-0754-4
    1. Multiple endpoints in clinical trials guidance for industry. The United States Food and Drug Administration. 2017. [2022-01-11]. .
    1. Notice on Printing and Distributing the "Outline of Teaching Guidance for Physical Education Courses in National Colleges and Universities". Ministry of Education of the People's Republic of China. [2022-01-11]. .
    1. Michie S, Richardson M, Johnston M, Abraham C, Francis J, Hardeman W, Eccles MP, Cane J, Wood CE. The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: building an international consensus for the reporting of behavior change interventions. Ann Behav Med. 2013;46(1):81–95. doi: 10.1007/s12160-013-9486-6.
    1. Ludden GD, van Rompay TJ, Kelders SM, van Gemert-Pijnen JE. How to increase reach and adherence of web-based interventions: a design research viewpoint. J Med Internet Res. 2015;17(7):e172. doi: 10.2196/jmir.4201. v17i7e172
    1. Macfarlane DJ, Lee CC, Ho EY, Chan KL, Chan DT. Reliability and validity of the Chinese version of IPAQ (short, last 7 days) J Sci Med Sport. 2007;10(1):45–51. doi: 10.1016/j.jsams.2006.05.003.S1440-2440(06)00086-7
    1. Rafferty AP, Anderson JV, McGee HB, Miller CE. A healthy diet indicator: quantifying compliance with the dietary guidelines using the BRFSS. Prev Med. 2002;35(1):9–15. doi: 10.1006/pmed.2002.1056.S009174350291056X
    1. WHO Expert Consultation Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. Lancet. 2004;363(9403):157–63. doi: 10.1016/S0140-6736(03)15268-3.S0140-6736(03)15268-3
    1. Rankin SH, Galbraith ME, Johnson S. Reliability and validity data for a Chinese translation of the Center for Epidemiological Studies-Depression. Psychol Rep. 1993;73(3 Pt 2):1291–8. doi: 10.2466/pr0.1993.73.3f.1291.
    1. Liang W, Duan Y, Shang B, Hu C, Baker JS, Lin Z, He J, Wang Y. Precautionary behavior and depression in older adults during the COVID-19 pandemic: an online cross-sectional study in Hubei, China. Int J Environ Res Public Health. 2021;18(4):1853. doi: 10.3390/ijerph18041853. ijerph18041853
    1. Yao G, Wu C. Similarities and differences among the Taiwan, China, and Hong-Kong versions of the WHOQOL questionnaire. Soc Indic Res. 2009;91(1):79–98. doi: 10.1007/s11205-008-9326-4.
    1. Thabane L, Mbuagbaw L, Zhang S, Samaan Z, Marcucci M, Ye C, Thabane M, Giangregorio L, Dennis B, Kosa D, Borg Debono V, Dillenburg R, Fruci V, Bawor M, Lee J, Wells G, Goldsmith CH. A tutorial on sensitivity analyses in clinical trials: the what, why, when and how. BMC Med Res Methodol. 2013;13:92. doi: 10.1186/1471-2288-13-92. 1471-2288-13-92
    1. Rubin DB. Multiple Imputation for Nonresponse in Surveys. New York: John Wiley & Sons Inc; 2004.
    1. Althouse A. Adjust for multiple comparisons? It's not that simple. Ann Thorac Surg. 2016;101(5):1644–5. doi: 10.1016/j.athoracsur.2015.11.024.S0003-4975(15)01873-1
    1. Liu S, Tu D. On the applications of Fisher’s Least Significant Difference (LSD) procedure in three-arm clinical trials with survival endpoints. Drug Information J. 2008;42(1):81–91. doi: 10.1177/009286150804200112. doi: 10.1177/009286150804200112.
    1. Lin Y. Commentary on the use of Bonferroni approach in post-hoc adjustion. Taipei Medical University: Biostatisticas Research Center. 2015. [2022-01-14]. .
    1. Flick U. An Introduction to Qualitative Research. Thousand Oaks, California: SAGE Publications; 2018.
    1. Bryman A. Social Research Methods. Oxford, United Kingdom: Oxford University Press; 2016.
    1. Liang W. Web-based Sequentially Delivered Interventions on Health-enhancing Physical Activity and Fruit-vegetable Consumption in Chinese College Students. Kowloon Tong, Hong Kong: Hong Kong Baptist University; 2020.
    1. Braun V, Clarke V, Weate P. Routledge Handbook of Qualitative Research in Sport and Exercise. London, United Kingdom: Routledge; 2016. Using thematic analysis in sport and exercise research; pp. 213–27.
    1. Yardley L. Demonstrating the validity of qualitative research. J Positive Psychol. 2017;12(3):295–6. doi: 10.1080/17439760.2016.1262624.
    1. Booth A, Hannes K, Harden A, Noyes J, Harris J, Tong A. Guidelines for Reporting Health Research: A User's Manual. Hoboken, New Jersey: Wiley; 2014. COREQ (consolidated criteria for reporting qualitative studies) pp. 214–26.
    1. Storm V, Dörenkämper J, Reinwand DA, Wienert J, De Vries H, Lippke S. Effectiveness of a web-based computer-tailored multiple-lifestyle intervention for people interested in reducing their cardiovascular risk: a randomized controlled trial. J Med Internet Res. 2016;18(4):e78. doi: 10.2196/jmir.5147. v18i4e78
    1. Lippke S, Dahmen A, Gao L, Guza E, Nigg CR. To what extent is internet activity predictive of psychological well-being? Psychol Res Behav Manag. 2021;14:207–19. doi: 10.2147/PRBM.S274502. doi: 10.2147/PRBM.S274502.274502
    1. Stok FM, Renner B, Clarys P, Lien N, Lakerveld J, Deliens T. Understanding eating behavior during the transition from adolescence to young adulthood: a literature review and perspective on future research directions. Nutrients. 2018;10(6):667. doi: 10.3390/nu10060667. nu10060667
    1. Johns DJ, Hartmann-Boyce J, Jebb SA, Aveyard P, Behavioural Weight Management Review Group Diet or exercise interventions vs combined behavioral weight management programs: a systematic review and meta-analysis of direct comparisons. J Acad Nutr Diet. 2014;114(10):1557–68. doi: 10.1016/j.jand.2014.07.005. S2212-2672(14)01055-7
    1. Garin O. Ceiling effect. In: Michalos AC, editor. Encyclopedia of Quality of Life and Well-Being Research. Dordrecht, the Netherlands: Springer; 2014. pp. 631–3.
    1. Deliens T, Deforche B, De Bourdeaudhuij I, Clarys P. Determinants of physical activity and sedentary behaviour in university students: a qualitative study using focus group discussions. BMC Public Health. 2015;15:201. doi: 10.1186/s12889-015-1553-4. 10.1186/s12889-015-1553-4
    1. Best practices for mixed methods research in the health sciences. Implementation Science e-hub. [2022-01-11]. .
    1. Chan DK, Stenling A, Yusainy C, Hikmiah Z, Ivarsson A, Hagger MS, Rhodes RE, Beauchamp MR. Editor's Choice: consistency tendency and the theory of planned behavior: a randomized controlled crossover trial in a physical activity context. Psychol Health. 2020;35(6):665–84. doi: 10.1080/08870446.2019.1677904.
    1. Nezu AM, Nezu CM, editors. Evidence-Based Outcome Research: A Practical Guide to Conducting Randomized Controlled Trials for Psychosocial Interventions. Oxford, United Kingdom: Oxford University Press; 2007.
    1. Schulz DN, Kremers SP, Vandelanotte C, van Adrichem MJ, Schneider F, Candel MJ, de Vries H. Effects of a web-based tailored multiple-lifestyle intervention for adults: a two-year randomized controlled trial comparing sequential and simultaneous delivery modes. J Med Internet Res. 2014;16(1):e26. doi: 10.2196/jmir.3094. v16i1e26

Source: PubMed

3
S'abonner