* Corresponding Author
Mask-Wearing Behavior Among Individuals Newly Diagnosed With Type 2 Diabetes: Insights From Community Health Screenings During the COVID-19 Pandemic in Indonesia
https://doi.org/10.22146/jpkm.89347 Fumihiko Yokota(1*), Akane Anai(2), Lutfan Lazuardi(3), Nurholis Majid(4), Hanifah Wulandari(5), Mariko Nishikitani(6), Kimiyo Kikuchi(7), Yoko Sato(8), Subaru Ikeda(9), Ashir Ahmed(10), Rafiqul Islam Maruf(11), Naoki Nakashima(12)
(1) Institute for Asian and Oceanian Studies, Kyushu University, Fukuoka, Japan
(2) Department of Healt Policy and Management, Faculty of Medicine, Public Healt and Nursing, Universitas Gadjah Mada, Yogyakarta Indonesia
(3) Department of Healt Policy and Management, Faculty of Medicine, Public Healt and Nursing, Universitas Gadjah Mada, Yogyakarta Indonesia
(4) Department of Healt Policy and Management, Faculty of Medicine, Public Healt and Nursing, Universitas Gadjah Mada, Yogyakarta Indonesia
(5) Department of Healt Policy and Management, Faculty of Medicine, Public Healt and Nursing, Universitas Gadjah Mada, Yogyakarta Indonesia
(6) Medical Information Center, Kyushu University, Fukuoka, Japan
(7) Department of Health Sciences, Graduate School of Mediacal Sciences, Kyushu University, Fukuoka, Japan
(8) Department of Health Sciences, Graduate School of Mediacal Sciences, Kyushu University, Fukuoka, Japan
(9) Department of Health Sciences, Graduate School of Mediacal Sciences, Kyushu University, Fukuoka, Japan
(10) Faculty of Information Sciences and Electrical Engineering, Kyushu University, Fukuoka, Japan
(11) Medical Information Center, Kyushu University, Fukuoka, Japan
(12) Medical Information Center, Kyushu University, Fukuoka, Japan
(*) Corresponding Author
Abstract
The coronavirus disease 2019 (COVID-19) pandemic has had a severe impact on people with type 2 diabetes (T2D) and their health behaviors. This study investigated the associations between T2D status and mask- wearing behaviors in public settings during the first wave of COVID-19 among community residents in Yogyakarta, Indonesia. Outreach health checkups and self-report questionnaires were cross-sectionally conducted to measure mask- wearing behavior, T2D status, and sociodemographic characteristics. Chi- square tests and bivariate and multivariate logistic regression were performed for data analysis. Out of 254 participants, nearly one-fourth (24%) were newly diagnosed with T2D, while 15% reported that they had never been diagnosed with T2D before. Bivariate and multivariate logistic regression models had no statistically significant associations between mask-wearing behavior and T2D status. However, Chi-square test results showed significant differences (P=0.02) in percentages of inconsistent mask-wearing behavior among those who were newly diagnosed with T2D (19%), those who had known as T2D (8%), and those who had no T2D (7%). Early diagnostic services and awareness education for T2D are imperative to reduce the disease severity and mortality for future pandemics, particularly among undiagnosed individuals who are unaware of their T2D status.
Keywords
Full Text:
PDFReferences
Abboah-Offei, M., Yakubu, S., Bisi, A., Jonathan, B., Rasheed, O. P., & Edwina, B. A. O. L. (2021). A rapid review of the use of face mask in preventing the spread of COVID-19. Int J Nurs Stud Adv, 100013. https: //doi.org/10.1016/j.ijnsa.2020.100013
Ambarita, A., & Nurwahyuni, A. (2022). Analysis of implementation chronic disease program (PROLANIS) during pandemic COVID-19 on primary health care. The Indonesian Journal of Public Health, 9(1), 24-31.
Chen, C. Y., & Lei, M. (2022). Psychosocial factors associated with mask-wearing behavior during the COVID-19 pandemic. Psychology, Health & Medicine, 27(9), 1996–2006. https://doi.org/10.1080/1354 8506.2021.1998562
Cunningham, G. B., & Nite, C. (2021). Demographics, politics, and health factors predict mask wearing during the COVID-19 pandemic: A cross-sectional study. BMC Public Health, 21(1), 1403.
Einarson, T. R., Acs, A., Ludwig, C., & Panton, U. H. (2018). Prevalence of cardiovascular disease in type 2 diabetes: A systematic literature review of scientific evidence from across the world in 2007-2017. Cardiovascular Diabetology, 17(1), 83. https://doi. org/10.1186/s12933-018-0728-6
Franco, H. F. C., Martinez, A. M. S., Martinez, D. L. M., Jarquin, B. R. S., & Garza, F. J. G. (2023). Cessation of face mask use after COVID-19 vaccination in patients with diabetes: Prevalence and determinants. Int J Environ Res Public Health, 20(4), 2768. https://doi.org/10 .3390/ijerph20042768
Hartono, R. K., & Nurhasana, R. (2022). Behaviour of face masks search for COVID-19 prevention in Indonesia: Trend and policy analysis. Al-Sihah: The Public Health Science Journal, 14(2), 162-171. https://doi.org/10 .24252/al-sihah.v14i2.31782
Hasyim, H., Putri, G., & Dale, P. (2022). Analysis of COVID-19 preventive behavior in diabetes mellitus patients: A literature review. National Public Health Journal, 17(1), 49-53. https://doi.org/10.21109 /kesmas.v17isp1.6052
Howard, J., Huang, A., Li, Z., Tufekci, Z., Zdimal, V., van der Westhuizen, H. M., von Delft, A., Price, A., Fridman, L., Tang, L. H., Tang, V., Watson, G. L., Bax, C. E., Shaikh, R., Questier, F., Hernandez, D., Chu, L. F., Ramirez, C. M., & Rimoin, A. W. (2021). An evidence review of face masks against COVID-19. Proceedings of the National Academy of Sciences of the United States of America, 118(4), e2014564118. https://doi.org/10 .1073/pnas.2014564118
International Diabetes Federation. (2021). IDF diabetes atlas 10th edition. International Diabetes Federation. ht tps://diabetesatlas.org/
Kaewpan, W., Rojpaisarnkit, K., Pengpid, S., & Peltzer, K. (2022). Factor affecting face mask-wearing behaviors to prevent COVID-19 among Thai people: A binary logistic regression model. Frontiers in Psychology, 13. https: //doi.org/10.3389/fpsyg.2022.996189
Kilic, C., Yildiz, MI., Emekli, E., Guisen, G., & Alp, A. (2022). Psychological factors responsible for low adherence to mask-wearing measures during the COVID- 19 pandemic. BJ Psych Open, 8(6), e203.
Kohler, H., Bäuerle, A., Schweda, A., Weismüller, B., Fink, M., Musche, V., Robitzsch, A., Pfeiffer, C., Benecke, A. V., Dörrie, N., Führer, D., Taube, C., Rassaf, T., Teufel, M., & Skoda, E. M. (2021). Increased COVID-19-related fear and subjective risk perception regarding COVID- 19 affects behavior in individuals with internal high-risk diseases. Journal of Primary Care & Community Health, 12, 2150132721996898. https://doi.org/10.1177/ 2150132721996898
Kshanti, I. A., Epriliawati, M., Mokoagow, M. I., Nasarudin, J., & Magfira, N. (2021). The impact of COVID-19 lockdown on diabetes complication and diabetes management in people with diabetes in Indonesia. Journal of Primary Care & Community Health, 12, 21501327211044888. https://doi.org/ 10.1177/21501327211044888
Li, Y., Liang, M., Gao, L., Ayaz Ahmed, M., Uy, J. P., Cheng, C., Zhou, Q., & Sun, C. (2021). Face masks to prevent transmission of COVID-19: A systematic review and meta-analysis. American Journal of Infection Control, 49(7), 900–906. https://doi.org/10.1016/ j.ajic.2020.12.007
Li, H., Tian, S., Chen, T., Cui, Z., Shi, N., Zhong, X., Qiu, K., Zhang, J., Zeng, T., Chen, L., & Zheng, J. (2020). Newly diagnosed diabetes is associated with a higher risk of mortality than known diabetes in hospitalized patients with COVID-19. Diabetes, Obesity & Metabolism, 22(10), 1897–1906. https://doi.org/ 10.1111/dom.14099
Liang, W., Duan, Y., Li, F., Rhodes, R. E., Wang, X., Peiris, D. L. I. H. K., Zhou, L., Shang, B., Yang, Y., Baker, J. S., Jiao, J., & Han, W. (2022). Psychosocial determinants of hand hygiene, facemask wearing, and physical distancing during the COVID-19 pandemic: A systematic review and meta-analysis. Annals of Behavioral Medicine: A Publication of the Society of Behavioral Medicine, 56(11), 1174–1187. https://doi.org/10.1093/ab m/kaac049
Liao, M., Liu, H., Wang, X., Hu, X., Huang, Y., Liu, X., Brenan, K., Mecha, J.O., Nirmalan, M., & Lu, J.R. (2021). A technical review of face mask wearing in preventing respiratory COVID-19 transmission. Current Opinion in Colloid & Interface Science, 52, 101417.https://doi.org/10.1016/j.cocis.2021.101417
Liu, E., & Arledge, S. (2022). Individual characteristics and demographics associated with mask wearing during the COVID-19 pandemic in the United States. Asian Journal of Social Health and Behavior, 5(1), 3-9. http://dx.d oi.org/10.4103/shb.shb_148_21
Magoc, D., Tomaka, J., Emovon, O., & Mustapha, T. (2023). Psychosocial factors predict mask- wearing: A longitudinal study across 3 phases of the COVID-19 pandemic. Inquiry: A journal of Medical Care Organization, Provision and Financing, 60, 469580231166732. h t t p s : //doi.org/10.1177/00469580231166732
Mahendradhata, Y., Andayani, N. L. P. E., Hasri, E. T., Arifi, M. D., Siahaan, R. G. M., Solikha, D. A., & Ali, P. B. (2021). The capacity of the Indonesian healthcare system to respond to COVID-19. Frontiers in Public Health, 9, 649819. https://doi.org/10.3389/fpubh.2021.6 49819
Musche, V., Kohler, H., Bauerle, A., Schweda, A., Weismuller, B., Fink, M., Schadendorf, T., Robitzsch, A., Dorrie, N., Tan, S., Teufel, M., & Skoda, E. (2021). COVID-19-related fear, risk perception, and safety behavior in individuals with diabetes. Healthcare, 9(4), 480.
Nugraha, R. R., Miranda, A. V., Ahmadi, A., & Lucero- Prisno 3rd, D. E. (2021). Accelerating Indonesian COVID-19 vaccination rollout: a critical task amid the second wave. Tropical Medicine and Health, 49(1). ht tps://doi.org/10.1186/s41182-021-00367-3
Pengpid, S., Peltzer, K., Sathirapanya, C., Thitichai, P., Faria de Moura Villela, E., Rodrigues Zanuzzi, T., de Andrade Bandeira, F., Bono, S. A., Siau, C. S., Chen, W. S., Hasan, M. T., Sessou, P., Ditekemena, J. D., Hosseinipour, M. C., Dolo, H., Wanyenze, R. K., Nelson Siewe Fodjo, J., & Colebunders, R. (2022). Psychosocial factors associated with adherence to COVID-19 preventive measures in low-middle- income countries, December 2020 to February 2021. International Journal of Public Health, 67, 1604398.https://doi.org/10.3389/ijph.2022.1604398
Sathish, T., Kapoor, N., Cao, Y., Tapp, R. J., & Zimmet, P. (2021). Proportion of newly diagnosed diabetes in COVID-19 patients: A systematic review and meta-analysis. Diabetes, Obesity & Metabolism, 23(3), 870–874. https://doi.org/10.1111/dom.14269
Wang, W., Chai, Z., Cooper, M. E., Zimmet, P. Z., Guo, H., Ding, J., Yang, F., Chen, X., Lin, X., Zhang, K., Zhong, Q., Li, Z., Zhang, P., Wu, Z., Guan, X., Zhang, L., & He, K. (2021). High fasting blood glucose level with unknown prior history of diabetes is associated with high risk of severe adverse COVID-19 outcome. Frontiers in Endocrinology, 12, 791476. https://doi.org/10.3 389/fendo.2021.791476
Warnock-Parkes, E., Thew, G. R., & Clark, D. M. (2021). Belief in protecting others and social perceptions of face mask wearing were associated with frequent mask use in the early stages of the COVID pandemic in the UK. Frontiers in Psychology, 12, 680552. https://doi.or g/10.3389/fpsyg.2021.680552
World Health Organization (WHO). (2020). Mask use in the context of COVID-19: Interim guidance. World Health Organization. https://www.who.int/publicat ions/i/item/advice-on-the-use-of-masks- in-the-community-during-home-care-and-in- healthcare-settings-in-the-context-of-the- novel-coronavirus-(2019-ncov)-outbreak
World Health Organization (WHO). (2006). Obesity and overweight. World Health Organization. https://ww w.who.int/news-room/fact-sheets/detail/obes ity-and-overweight
Xu, Y., Wu, Q., Xu, S., Zhao, Y., & Zhang, X. (2022). Factors associated with protective mask-wearing behavior to avoid COVID-19 infection in China: Internet- based cross-sectional Study. JMIR Public Health and Surveillance, 8(5), e32278. https://doi.org/10.2 196/32278
DOI: https://doi.org/10.22146/jpkm.89347
Article Metrics
Abstract views : 846
| 
views : 568
Refbacks
- There are currently no refbacks.
Copyright (c) 2024 Jurnal Pengabdian kepada Masyarakat (Indonesian Journal of Community Engagement)
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Jurnal Pengabdian kepada Masyarakat (Indonesian Journal of Community Engagement)