The Intention of Healthy Behavior during the COVID-19 Pandemic among Community Members in Indonesia: Applying the Theory of Planned Behavior
Abstract
Background: The Coronavirus-2019 (COVID-19) pandemic is a health emergency that has caused a humanitarian crisis in most countries worldwide. The steps to prevent and protect Indonesian community members from COVID-19 are by implementing “Gerakan Masyarakat Hidup Sehat“ or GERMAS (Healthy Living Community Movement). This study aimed to analyse the relationships between attitude, subjective norm, perceived control behavior, and intention to prevent COVID-19 transmission.
Subjects and Method: This study used a cross-sectional design with convenient sampling. Data collection was conducted by an online survey and distributed by personal WhatsApp or WhatsApp groups between June 30-July 20, 2020. A total of 1,611 subjcts from 34 provinces in Indonesia were selected using consecutive sampling. The dependent variable was the intention to perform behavior that consist of bringing cutlery to work; smoking; exercising; consume vegetables, fruit and dring 8 glasses; cover the mouth when coughing; using a mask; using hand sanitizer; and washing hands with soap. The independent variable was perceived control, subjective norm, and attitude. The data analyzed using chi-square test.
Results: Negative attitude (OR= 1.58; 95% CI= 1.16 to 2.20; p= 0.004), negative norms (OR= 2.28; 95% CI= 1.86 to 2.79; p<0.001), and perceived control is not supportive (OR= 2.08; 95% CI= 1.19 to 3.66) associated with perform healthy behavior among community members in Indonesia.
Conclusion: Negative attitude, negative norms, and perceived control is not supportive were associated with perform healthy behavior and are statistically significant.
Keywords: healthy behavior, intention, COVID-19, community, theory of planned behavior.
Correspondence:
Heni Trisnowati. Study Program of Public Health, Faculty of Health Science, Universitas Respati Yogyakarta (UNRIYO). JL. Raya Tajem KM 1.5 Maguwoharjo, Depok, Sleman, Yogyakarta, Indonesia 55282. Email: heni_trisnowati@respati.ac.id. Mobile: +628176362938.
Journal of Health Promotion and Behavior (2022), 07(04): 341-355
DOI: https://doi.org/10.26911/thejhpb.2022.07.04.07
References
Ajzen I (2011a). The theory of planned behaviour: Reactions and reflections. Psychol. Heal. 26: 1113–1127. doi: 10.1080/08870446.2011.613995
Ajzen I (2011b). The theory of planned behaviour: Reactions and reflections. doi: 10.1080/¬08870446.2011.613995
Ajzen I (2005). Attitude, Personality and Behavior. Open University Press, New York.
Ajzen I (1991). The theory of planned behavior. Organ. Behav. Hum. Decis. Process. 50: 179–211. doi: 10.1016/-0749-5978(91)90020-T
Alqahtani JS, Oyelade T, Aldhahir AM, Alghamdi SM, Almehmadi M, Alqahtani AS, et al., (2020). Prevalence, Severity and Mortality asso-ciated with COPD and Smoking in patients with COVID-19: A Rapid Systematic Review and Meta-Analysis. PLoS One 15: e0233147. doi: 10.1371/JOURNAL.PONE.0233147
Beth TM, Hernandez E, Umberson D, Thomas PA (2019). Influence of Social Connections on Smoking Behavior across the Life Course HHS Public Access. Herit. Hall 42: 1–24. doi: 10.1016/j.alcr.2019.100294
Bommelé J, Hopman P, Walters BH, Geboers C, Croes E, Fong GT, et al. (2020). The double-edged relation¬ship between COVID-19 stress and smoking: Implications for smoking cessation. Tob. Induc. Dis. 18. doi: 10.18332/TID/125580
Caponnetto P, Caponnetto P, Caponnetto P, Inguscio L, Saitta C, Maglia M, et al., (2020). Smoking behavior and psychological dynamics during COVID-19 social distancing and stay-at-home policies: A survey. Heal. Psychol. Res. 8: 68–73. doi: 10.4081/HPR.¬2020.-9124
Conklin CA, Perkins KA, Robin N, McClernon FJ, Salkeld RP (2010). Bringing the real world into the laboratory: Personal smoking and nonsmoking environments. Drug Alcohol Depend. 111: 58. doi: 10.1016/j.drugalcdep.2010.03.017
Conklin CA, Robin N, Perkins KA, Salkeld RP, McClernon FJ (2008). Proximal Versus Distal Cues to Smoke: The Effects of Environments on Smokers Cue-Reactivity. Exp. Clin. Psycho-pharmacol. 16: 207. doi: 10.1037/1064-1297.16.3.207
Cvetković VM, Nikolić N, Nenadić UR, Öcal A, Noji EK, Zečević M (2020). Prepa-redness and Preventive Behaviors for a Pandemic Disaster Caused by COVID-19 in Serbia. Int. J. Environ. Res. Public Health 17: 1–23. doi: 10.-3390/IJERPH17114124
Ding D, Del-Pozo CB, Green MA, Bauman AE (2020). Is the COVID-19 lockdown nudging people to be more active: a big data analysis. Br. J. Sports Med. 54: 1183–1184. doi: 10.1136/-BJSPORTS-2020-102575
Fenitra RM, Praptapa A, Suyono E, Kusuma PDI, Usman I (2021). View of Factors Influencing Preventive Intention Behavior Towards COVID-19 in Indonesia. J. Behav. Sci. URL https://so06.tcithaijo.org/index.php/IJBS/article/view/242476/167721 (accessed 8.20.21).
Gibson LP, Magnan RE, Kramer EB, Bryan AD (2021). Theory of Planned Beha-vior Analysis of Social Distancing During the COVID-19 Pandemic: Focusing on the Intention–Behavior Gap. Ann. Behav. Med. 55: 805–812. doi: 10.1093/ABM/KAAB041
Giulianotti R, Chtourou H, Hiraga CY, Singh T, Kaur H, Arya YK, et al. (2020). Physical Fitness and Exercise During the COVID-19 Pandemic: A Qualitative Enquiry. Front. Psychol. doi:10.3389/fpsyg.2020.590172
Górnicka M, Drywień ME, Zielinska MA, Hamułka J (2020). Dietary and Life-style Changes During COVID-19 and the Subsequent Lockdowns among Polish Adults: A Cross-Sectional Online Survey PLifeCOVID-19 Study. Nutrients 12: 1–23. doi: 10.3390/-NU12082324
Grogan S, Walker L, Mcchesney G, Gee I, Gough B, Cordero MI (2020). How has COVID-19 lockdown impacted smoking? A thematic analysis of written accounts from UK smokers 37: 17–33. doi: 10.1080/08870446.2020.1862110
Grogan S, Walker L, McChesney G, Gee I, Gough B, Cordero MI (2022). How has COVID-19 lockdown impacted smoking? A thematic analysis of written accounts from UK smokers. Psychol. Health 37: 17–33. doi: 10.1080/08870446.2020.1862110
Hallal PC, Andersen LB, Bull FC, Guthold R, Haskell W, Ekelund U, et al. (2012). Global physical activity levels: surveillance progress, pitfalls, and prospects. Lancet. 380: 247–257. doi:10.1016/S0140-6736(12)60646-1
Hamer M, Kivimäki M, Gale CR, Batty GD (2020). Lifestyle risk factors, inflammatory mechanisms, and COVID-19 hospitalization: A community-based cohort study of 387,109 adults in UK. Brain. Behav. Immun. 87: 184. doi: 10.1016/J.BBI.2020.05.059
Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, et al. (2020). Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet 395: 497–506. doi:10.1016/S0140-6736(20)30183-5
INGSA (2020). Indonesia COVID-19 Policy-Making Tracker – INGSA [WWW Document]. URL https://-www.ingsa.org/covid/policymaking-tracker/asia/indonesia/ (accessed 2.21.22).
Jiménez-Pavón D, Carbonell-Baeza A, Lavie CJ (2020). Physical exercise as therapy to fight against the mental and physical consequences of COVID-19 quarantine: Special focus in older people. Prog. Cardiovasc. Dis. 63: 386–388. doi:10.1016/J.PCAD.¬2020.-03.¬009
Kemenkes RI (2020). Cegah Virus Corona, Jaga Kesehatan dengan GERMAS [WWW Document]. URL https://-promkes.kemkes.go.id/cegah-virus corona-jaga-kesehatan-dengangermas (accessed 3.6.22).
Klemperer EM, Ba JCW, Peasley-Miklus C, Villanti AC (2020). Change in Tobacco and Electronic Cigarette Use and Motivation to Quit in Response to COVID-19. Nicotine Tob. Res. 22: 1662–1663. doi:10.1093/ntr/ntaa072
Ling PM, Glantz SA (2002). Why and How the Tobacco Industry Sells Cigarettes to Young Adults: Evidence From Industry Documents. Am. J. Public Health 92: 908. doi: 10.2105/AJPH.-92.6.908
Liu W, Tao ZW, Wang L, Yuan ML, Liu K, Zhou L, et al. (2020). Analysis of factors associated with disease out-comes in hospitalized patients with 2019 novel coronavirus disease. Chin. Med. J. (Engl). 133. doi: 10.1097/CM9.0000000000000775
Mouloudj K, Stojczew K ( 2021). Analyzing the students’ intention to use online learning system in the context of COVID-19 pandemic: A theory of planned behavior approach Customer Relationship Management and Buying Intent View project The Impact Of COVID-19 Pandemic View project, in: The 4th Global Conference on Edu-cation and Research (GLOCER). University of South Florida, Florida USA, Florida, USA, pp. 1–17. doi: 10.5038/9781955833042
Nicol GE, Piccirillo JF, Mulsant BH, Lenze EJ (2020). BRIEF REPORT. doi: 10.1111/jgs.16443
Patanavanich R, Glantz SA (2020). Smo¬king Is Associated With COVID-19 Progression: A Meta-analysis. Nicotine Tob. Res. 22: 1653. doi: 10.1093/NTR/NTAA082
Patwardhan P (2020). COVID-19: Risk of increase in smoking rates among England’s 6 million smokers and relapse among England’s 11 million ex-smokers. BJGP Open. doi: 10.3399/bjgpopen20X101067
Pierce JP, Distefan JM, Hill D (2005). Adolescent Smoking, in: Boyle, P. (Ed.), Tobacco and Public Health: Science and Policy. Oxford University Press, New York USA, pp. 315–324. doi:10.1093/annonc/mdi097
Prasetyo YT, Castillo AM, Salonga LJ, Sia JA, Seneta JA (2020). Factors affecting perceived effectiveness of COVID-19 prevention measures among Filipinos during Enhanced Community Quarantine in Luzon, Philippines: Integrating Protection Motivation Theory and extended Theory of Planned Behavior. Int. J. Infect. Dis. 99: 312. doi: 10.1016/J.IJID.2020.07.074
Rahmafitria F, Suryadi, K, Oktadiana, H, Putro HPH, Rosyidie A (2021). Applying knowledge, social concern and perceived risk in planned behavior theory for tourism in the Covid-19 pandemic. Tour. Rev. 76: 809–828. doi:10.1108/TR-11-2020-0542/FULL/HTML
Reddy RK, Charles WN, Sklavounos A, Dutt A, Seed PT, Khajuria A (2021). The effect of smoking on COVID-19 severity: A systematic review and meta-analysis. J. Med. Virol. 93: 1045–1056. doi:10.1002/JMV.26389
Riekert KA, Ockene JK, Pbert L (2014). The Handbook of Health Behavior Change, 4th ed, Springer. Springer Publishing Company, New York (USA. doi:10.1093/oxfordhb/9780195342819.013.0024
Setiawan NP, Hernawan D, Salbiah E (2017). Evaluasi Kebijakan Peraturan Daerah Kota Bogor No 12 Tahun 2009 Tentang Kawasan Tanpa Rokok (Studi Kasus Pelaksanaan Kawasan Tanpa Rokok Pada Sekolah Menengah Atas Negeri Di Kota Bogor). J. Governansi 3: 13. doi:10.30997/jgs.v3i1.809
Tran QA, Nguyen HTT, Bui T, Van TNT, Nguyen NT, Nguyen TT, et al. (2021). Factors Associated With the Intention to Participate in Coronavirus Disease 2019 Frontline Prevention Activities Among Nursing Students in Vietnam: An Application of the Theory of Planned Behavior. Front. Public Heal. 9: 699079. doi: 10.3389/FPUBH.-2021.699079
Vardavas CI, Nikitara K (2020). COVID-19 and smoking: A systematic review of the evidence. Tob. Induc. Dis. 18. doi:10.18332/TID/119324
WHO (2022). WHO Coronavirus (COVID-19) Dashboard | WHO Coronavirus (COVID-19) Dashboard With Vacci-nation Data [WWW Document]. URL https://covid19.who.int/ (acces¬sed 3.15.22).
WHO (2020a). Coronavirus Disease 2019 (COVID-19) World Health Situation Report - 1. Indonesia.
WHO (2020b). Responding to noncommu-nicable diseases during and beyond the COVID-19 pandemic: a rapid review [WWW Document]. URL https://www.who.int/publications/i/item/WHO-2019-nCoV-Non communicable_diseases-Evidence-2020.1 (accessed 2.21.22).
Yanti NPED, Nugraha IMADP, Wisnawa GA, Agustina NPD, Diantari NPA (2020). Public Knowledge about Covid-19 and Public Behavior During the Covid-19 Pandemic. J. Kepera-watan Jiwa 8: 491. doi: 10.26714/jkj.8.4.2020.491-504
Yastica TV, Salma SA, Caesaron D, Safrudin YN, Pramadya AR (2020). Appli¬cation of Theory Planned Behavior (TPB) and Health Belief Model (HBM) in COVID-19 Prevention: A Literature Review, in: 6th International Conference on Interactive Digital Media, ICIDM 2020. Institute of Electrical and Electronics Engi¬neers Inc. doi: 10.1109/ICIDM51048.¬2020.9339605
Zhang JJ, Dong X, Yi-Yuan C, Yuan YD, Yang YB, Yan YQ, et al. (2020). Clinical characteristics of 140 patients infected with SARS-CoV-2 in Wuhan, China. doi:10.1111/all.14238
Zhou F, Yu T, Du R, Fan G, Liu Y, Liu Z, et al. (2020). Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. Lancet 395: 1054–1062. doi: 10.1016/S0140-6736(20)30566-3.