Association of mobile health applications usage with eating behaviour and physical activity among young adults in Malaysia
DOI:
https://doi.org/10.34117/bjdv10n5-008Keywords:
mobile health applications, eating behaviour, physical activity, young adults, acceptance of mHealth AppsAbstract
Mobile health applications (mHealth Apps) are useful technology for personal health management. However, evidence in health improvement is lacking in mHealth Apps usage with eating behaviour and physical activity (PA) in Malaysia. This study aims to investigate the association between mHealth Apps usage with eating behaviour and PA among young adults with different Body Mass Indices (BMI) in Malaysia. A cross-sectional study was conducted. 280 samples were recruited using convenience sampling. An online questionnaire comprised of sociodemographic characteristics, anthropometry measurements, mindful eating behaviour questionnaire, International Physical Activity Questionnaire (IPAQ), and acceptance of mHealth Apps use were distributed. Among the 280 respondents (78.2% female, 18–28-year-old, BMI=21.5±3.79kg/m2), 22.1% were mHealth Apps users. Underweight respondents had the highest mindful eating behaviour score (2.84±0.25), while lowest in obesity Class II (2.57±0.06). Majority of the respondents (68.6%) were not practicing sedentary lifestyle (sitting<8hours). Underweight and obesity Class I respondents were inactive, whereas normal weight and overweight were moderately active. Besides, there is a significant mean difference between mHealth Apps usage with eating behaviour (p=0.048), but not PA level (p=0.134) and sedentary behaviour (p=0.759). The six motivating factors that significantly (p<0.05) influence the acceptance of mHealth Apps usage were: perceived usefulness, perceived ease of use, social influence, facilitating conditions, self-efficacy, and behavioural intention to adopt. The mHealth Apps usage is associated with eating behaviour but not physical activity. Our findings suggested potential for related stakeholders to promote mHealth Apps targeting in young adults to improve health outcome.
References
MARCOLINO, M. S., OLIVEIRA, J. A. Q., D’AGOSTINO, M., RIBEIRO, A. L., ALKMIM, M. B. M., & NOVILLO-ORTIZ, D. (2018). The Impact of mHealth Interventions: Systematic Review of Systematic Reviews. JMIR MHealth and UHealth, 6(1), e23.
MÜLLER, A. M., MAHER, C. A., VANDELANOTTE, C., HINGLE, M., MIDDELWEERD, A., LOPEZ, M. L., DESMET, A., SHORT, C. E., NATHAN, N., HUTCHESSON, M. J., POPPE, L., WOODS, C. B., WILLIAMS, S. L., & WARK, P. A. (2018). Physical Activity, Sedentary Behavior, and Diet-Related eHealth and mHealth Research: Bibliometric Analysis. Journal of Medical Internet Research, 20(4), e122.
App Annie (2021). State of Mobile 2021. Available from: https://go.appannie.com/State-of-Mobile-2021-PreRegister.html
British Dietetic Association (BDA) (2020). Mindful Eating. Available from: https://www.bda.uk.com/resource/mindful-eating.html
LACAILLE L, PATINO-FERNANDEZ AM, MONACO J, DING D, UPCHURCH SWEENEY CR, BUTLER CD, et al. (2013). Eating Behavior. Encyclopedia of Behavioral Medicine, 641–642.
National Institutes of Health (NIH) (2020). National Health and Morbidity Survey (NHMS) 2019. Ministry of Health (MOH) Malaysia. Available from: http://iku.gov.my/nhms_2019/
World Health Organization (WHO) (2020). Physical activity. Available from: https://www.who.int/news-room/fact-sheets/detail/physical-activity
National Coordinating Committee on Food and Nutrition (NCCFN) (2016). National Plan of Action for Nutrition of Malaysia III 2016-2025. Available from: https://nutrition.moh.gov.my/wp-content/uploads/2016/12/NPANM_III.pdf
World Health Organization (WHO) (2021). Noncommunicable diseases. Available from: https://www.who.int/news-room/fact-sheets/detail/noncommunicable-diseases
COLIZZI M, LASALVIA A, & RUGGERI M. (2020). Prevention and early intervention in youth mental health: Is it time for a multidisciplinary and trans-diagnostic model for care? International Journal of Mental Health Systems, 14(1), 1–14.
SAMOGGIA, A., BORDONI, A., & MONTICONE, F. (2020). Data on the potential of nutrition-information apps from a consumer behaviour perspective. Data in Brief, 30, 105558.
LEE, Y. Y., & WAN MUDA, W. A. M. (2019). Dietary intakes and obesity of Malaysian adults. Nutrition Research and Practice, 13(2), 159–168.
WATTANAPISIT, A., TEO, C. H., WATTANAPISIT, S., TEOH, E., WOO, W. J., & NG, C. J. (2020). Can mobile health apps replace GPs? A scoping review of comparisons between mobile apps and GP tasks. BMC Medical Informatics and Decision Making, 20(1).
LEE, J. Y., WONG, C. P., & LEE, S. W. H. (2020). m-Health views and perception among Malaysian: findings from a survey among individuals living in Selangor. MHealth, 6, 6–6..
SMIRNOVA, E., ERIKSSON, N., & FAGERSTRØM, A. (2021). Adoption and use of health-related mobile applications: A qualitative study with experienced users. Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies. p. 288–295.
World Health Organization (WHO), 1986, Sample size determination: A user’s manual. Available at: https://apps.who.int/iris/handle/10665/61764.
BOL, N., HELBERGER, N., & WEERT, J. C. M. (2018). Differences in mobile health app use: A source of new digital inequalities? The Information Society, 34(3), 183–193.
CARROLL, J. K., MOORHEAD, A., BOND, R., LEBLANC, W. G., PETRELLA, R. J., & FISCELLA, K. (2017). Who uses mobile phone health apps and does use matter? A secondary data analytics approach. Journal of Medical Internet Research, 19(4), e125.
SIDDIQUE, A. B., KREBS, M., ALVAREZ, S., GREENSPAN, I., PATEL, A., KINSOLVING, J., & KOIZUMI, N. (2019). Mobile apps for the care management of chronic kidney and end-stage renal diseases: Systematic search in app stores and evaluation. JMIR MHealth and UHealth, 7(9), e12604.
NAING, L., WINN, T. & RUSLI, B.N. (2006). Practical issues in calculating the sample size for prevalence studies. Archives of Orofacial Sciences, 1(1), pp.9–14.
WHO, IASO, & IOTF (2000). The Asia-Pacific perspective: redefining obesity and its treatment. Sydney: Health Communications Australia. Available at: https://apps.who.int/iris/handle/10665/206936.
WAHID N, & KASIRYE F. (2020). Factors influencing obesity among Malaysian young adults in Kuala Lumpur. Asian Journal of Research in Education and Social Sciences, 2(2), pp. 54-71.
PRASANTH, S., RAJANI, V. AND MATHAI, A.K., 2013, Common mistake in adjusting sample size for anticipated dropouts in clinical trials. MakroCare. Available at: https://www.makrocare.com/whitepaper/common_mistake_adjusting_sample_size_ct.pdf.
International Society for the Advancement of Kinanthropometry (ISAK) (2001). International standards for anthropometric assessment. Available at: https://www.isak.global/.
International Chair on Cardiometabolic Risk (2011). Waist circumference measurement guidelines. Available at: http://www.myhealthywaist.org/index.php?id=90.
CDC (2020). Anthropometry procedures manual. Available at: https://www.cdc.gov/nchs/data/nhanes/nhanes_11_12/Anthropometry_Procedures_Manual.pdf.
ISMAIL IS, WAN BEBAKAR WM, KAMARUDDIN A, ABDULLAH H, ZAIN F, & NOOR I, et al. (2004). Clinical practice guidelines on management of obesity. Ministry of Health (MOH) Malaysia, Malaysian Association for the Study of Obesity (MASO), Malaysian Endocrine and Metabolic Society (MEMS), Academic of Medicine, Malaysia. Available from: https://www.moh.gov.my/moh/resources/Penerbitan/CPG/Endocrine/5a.pdf
YERRAKALVA, D., YERRAKALVA, D., HAJNA, S., & GRIFFIN, S. (2019). Effects of mobile app interventions on sedentary time, physical activity and fitness in older adults: systematic review and meta-analysis. Journal of Medical Internet Research, 21(11).
ABDUL BASIR, S. M., ABDUL MANAF, Z., AHMAD, M., ABDUL KADIR, N. B., ISMAIL, W. N. K., MAT LUDIN, A. F., & SHAHAR, S. (2021). Reliability and validity of the Malay Mindful Eating Questionnaire (MEQ-M) among overweight and obese adults. International Journal of Environmental Research and Public Health, 18(3), pp.1–14.
FRAMSON, C., KRISTAL, A.R., SCHENK, J.M., LITTMAN, A.J., ZELIADT, S. & BENITEZ, D. (2009). Development and Validation of the Mindful Eating Questionnaire. Journal of the American Dietetic Association, 109(8), pp.1439–1444.
CHAN, Y. Y., LIM, K. K., LIM, K. H., TEH, C. H., KEE, C. C., CHEONG, S. M., KHOO, Y. Y., BAHARUDIN, A., LING, M. Y., OMAR, M. A., & AHMAD, N. A. (2017). Physical activity and overweight/obesity among Malaysian adults: findings from the 2015 National Health and morbidity survey (NHMS). BMC Public Health, 17(1).
IPAQ (2005). Guidelines for data processing and analysis of the International Physical Activity Questionnaire (IPAQ)-short and long forms. Available from: www.ipaq.ki.se.
VAN DER PLOEG, H. P. (2012). Sitting time and all-cause mortality risk in 222 497 Australian adults. Archives of Internal Medicine, 172(6), 494.
DZIMIERA A. (2017), Consumer’s acceptance of mobile health technologies in Germany. Universidade Católica Portuguesa, ESCP Europe.
NAKAMURA, T., AKAMATSU, R., & YOSHIIKE, N. (2021). Mindful eating proficiency and healthy eating literacy among japanese mothers: associations with their own and their children’s eating behavior. Nutrients, 13(12), 4439.
TAPPER, K. (2022). Mindful eating: what we know so far. Nutrition Bulletin, 47(2).
HUSSEIN Z. (2018). The advantages and disadvantages of the mHealth applications and the intention to use among smartphone users. International Journal of Mechanical Engineering and Technology, 9(12). pp. 943–947.
NDAYIZIGAMIYE, P., KANTE, M., & SHINGWENYANA, S. (2020). An adoption model of mHealth applications that promote physical activity. Cogent Psychology, 7(1).
KÖSE, G. & ÇIPLAK, M. E. (2019). Does mindful eating have a relationship with gender, body mass index and health promoting lifestyle? Progress in Nutrition. 22(2):528–535.
LEE, Y. Y., KAMARUDIN, K. S., & WAN MUDA, W. A. M. (2019). Associations between self-reported and objectively measured physical activity and overweight/obesity among adults in Kota Bharu and Penang, Malaysia. BMC Public Health, 19(1).
SYED, N. K., SYED, M. H., MERAYA, A. M., ALBARRAQ, A. A., AL-KASIM, M. A., ALQAHTANI, S., MAKEEN, H. A., YASMEEN, A., BANJI, O. J. F., & ELNAEM, M. H. (2020). The association of dietary behaviors and practices with overweight and obesity parameters among Saudi university students. PLOS ONE, 15(9), e0238458.
KÖNIG, L. M., SPROESSER, G., SCHUPP, H. T., & RENNER, B. (2018). Describing the process of adopting nutrition and fitness apps: behavior stage model approach. JMIR MHealth and UHealth, 6(3), e55.
BARDUS, M., BORGI, C., EL-HARAKEH, M., GHERBAL, T., KHARROUBI, S., & FARES, E.-J. (2021). Exploring the Use of Mobile and Wearable Technology among University Student Athletes in Lebanon: A Cross-Sectional Study. Sensors, 21(13), 4472.
KAYYALI, R., PELETIDI, A., ISMAIL, M., HASHIM, Z., BANDEIRA, P., & BONNAH, J. (2017). Awareness and use of mhealth apps: a study from England. Pharmacy, 5(2), 33.
MUSTAFA, A. S., ALI, N., DHILLON, J. S., ALKAWSI, G., & BAASHAR, Y. (2022). User engagement and abandonment of mHealth: a cross-sectional survey. Healthcare, 10(2), 221.
VILLINGER, K., WAHL, D. R., BOEING, H., SCHUPP, H. T., & RENNER, B. (2018). The effectiveness of app-based mobile interventions on nutrition behaviors and nutrition-related health outcomes: a systematic review and meta-analysis. Obesity Reviews. 20(10). pp.1465–1484.
MCKAY, F. H., WRIGHT, A., SHILL, J., STEPHENS, H., & UCCELLINI, M. (2019). Using health and well-being apps for behavior change: a systematic search and rating of apps. JMIR MHealth and UHealth, 7(7), e11926.
LYZWINSKI, L. N., CAFFERY, L., BAMBLING, M., & EDIRIPPULIGE, S. (2019). The mindfulness app trial for weight, weight-related behaviors, and stress in university students: randomized controlled trial. JMIR MHealth and UHealth, 7(4), e12210.

