Hubungan Perilaku dan Kondisi Lingkungan Rumah dengan Kasus Tuberkulosis
Abstract
This study aims to look at the relationship between behavioral factors and home environmental factors in tuberculosis cases in the city of Surabaya. The method used in this study was a cross-sectional study with 54 patients. The chi-square analysis was performed to see the relationship between behavioral factors and the home environment and tuberculosis cases. The results showed that there was a significant relationship between temperature (p value=0.000), humidity (p value=0.000), ventilation (p value=0.000), type of floor (p value=0.030), and density (p value=0.030) with TB case. Meanwhile, the lighting variable (p value=0.054) and behavior (p value=0.055) had no significant relationship with TB cases. TB cases can be prevented by minimizing risk factors in the home environment and healthy behavior. This study concludes that counseling regarding risk factors should be carried out, reminding and advising people with symptoms of TB or contact with TB patients to check themselves at a health center or health facility.
Keywords: Environment, Behavior, Tuberculosis
References
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Dorji, T., Tshering, T., & Wangdi, K. (2020). Assessment of Knowledge, Attitude and Practice on Tuberculosis among Teacher Trainees of Samtse College of Education, Bhutan. PLOS ONE, 15(11), e0241923. https://doi.org/10.1371/journal.pone.0241923
Emmanuel, U., Osondu, E. D., & Kalu, K. C. (2020). Architectural Design Strategies for Infection Prevention and Control (IPC) in Health-Care Facilities: Towards Curbing the Spread of COVID-19. Journal of Environmental Health Science and Engineering, 18(2), 1699–1707. https://doi.org/10.1007/s40201-020-00580-y
Fahdhienie, F., Agustina, A., & Ramadhana, P. V. (2020). Analisis Faktor Risiko terhadap Kejadian Penyakit Tuberkulosis di Wilayah Kerja Puskesmas Pidie Kabupaten Pidie Tahun 2019. Sel Jurnal Penelitian Kesehatan, 7(2), 52–60. https://doi.org/10.22435/sel.v7i2.3735
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Giri, N., Chavan, S., Heda, R., Israni, R., & Sethiya, R. (2019). Disease Migration, Mitigation, and Containment: Impact of Climatic Conditions & Amp; Air Quality on Tuberculosis for India. In 2019 IEEE Pune Section International Conference (PuneCon) (pp. 1–6). IEEE. https://doi.org/10.1109/PuneCon46936.2019.9105881
Hafizmatta, R., Yulita, A. G., Putri, C., Amanda, N. F., Handayani, D., & Syahruddin, E. (2020). Association Between Overcrowding and TB Infection in Ciracas, Jakarta. In C53. Global Experiences In TB and NTM Care (A5436–A5436). American Thoracic Society. https://doi.org/10.1164/ajrccm-conference.2020.201.1_MeetingAbstracts.A5436
Jay, O., Capon, A., Berry, P., Broderick, C., de Dear, R., Havenith, G., & Ebi, K. L. (2021). Reducing the Health Effects of Hot Weather and Heat Extremes: From Personal Cooling Strategies to Green Cities. The Lancet, 398(10301), 709–724. https://doi.org/10.1016/S0140-6736(21)01209-5
Laws, M., Jin, P., & Rahman, K. M. (2022). Efflux pumps in Mycobacterium Tuberculosis and Their Inhibition to Tackle Antimicrobial Resistance. Trends in Microbiology, 30(1), 57–68. https://doi.org/10.1016/j.tim.2021.05.001
Lee, J. Y., Kwon, N., Goo, G., & Cho, S. (2022). Inadequate Housing and Pulmonary Tuberculosis: A Systematic Review. BMC Public Health, 22(1), 622. https://doi.org/10.1186/s12889-022-12879-6
Li, H., Ge, M., & Zhang, M. (2022). Spatio-Temporal Distribution of Tuberculosis and the Effects of Environmental Factors in China. BMC Infectious Diseases, 22(1), 565. https://doi.org/10.1186/s12879-022-07539-4
Liu, L. S., Wang, F., Ge, Y., & Lo, P. K. (2021). Recent Developments in Aptasensors for Diagnostic Applications. ACS Applied Materials & Interfaces, 13(8), 9329–9358. https://doi.org/10.1021/acsami.0c14788
MacNeil, A., Glaziou, P., Sismanidis, C., Maloney, S., & Floyd, K. (2019). Global Epidemiology of Tuberculosis and Progress Toward Achieving Global Targets — 2017. MMWR. Morbidity and Mortality Weekly Report, 68(11), 263–266. https://doi.org/10.15585/mmwr.mm6811a3
Maphalle, L. N. F., Michniak-Kohn, B. B., Ogunrombi, M. O., & Adeleke, O. A. (2022). Pediatric Tuberculosis Management: A Global Challenge or Breakthrough? Children, 9(8), 1120. https://doi.org/10.3390/children9081120
Mollalo, A., Mao, L., Rashidi, P., & Glass, G. E. (2019). A GIS-Based Artificial Neural Network Model for Spatial Distribution of Tuberculosis across the Continental United States. International Journal of Environmental Research and Public Health, 16(1), 157. https://doi.org/10.3390/ijerph16010157
Sohn, M., Kim, H., Sung, H., Lee, Y., Choi, H., & Chung, H. (2019). Association of Social Deprivation and Outdoor Air Pollution with Pulmonary Tuberculosis in Spatiotemporal Analysis. International Journal of Environmental Health Research, 29(6), 657–667. https://doi.org/10.1080/09603123.2019.1566522
Wang, X., Yin, S., Li, Y., Wang, W., Du, M., Guo, W., & Chu, D. (2019). Spatiotemporal Epidemiology of, and Factors Associated with, the Tuberculosis Prevalence in Northern China, 2010–2014. BMC Infectious Diseases, 19(1), 365. https://doi.org/10.1186/s12879-019-3910-x
WHO. (2022). Global Tuberculosis Report 2021: Supplementary Material. https://apps.who.int/iris/handle/10665/360605
Yao, L., LiangLiang, C., JinYue, L., WanMei, S., Lili, S., YiFan, L., & HuaiChen, L. (2019). Ambient Air Pollution Exposures and Risk of Drug-Resistant Tuberculosis. Environment International, 124, 161–169. https://doi.org/10.1016/j.envint.2019.01.013
Zhang, C. Y., & Zhang, A. (2019). Climate and Air Pollution Alter Incidence of Tuberculosis in Beijing, China. Annals of Epidemiology, 37, 71–76. https://doi.org/10.1016/j.annepidem.2019.07.003
