Assessing the Impact of Household Socioeconomic Factors on Clean and Healthy Living Behaviors with Binary Logistic Regression: A Study in Probolinggo Regency

Moch Abdillah Nafis Nafis; Destri Susilaningrum; Brodjol Ulama; Dwi Endah Kusrini

doi:10.24036/eksakta/vol25-iss04/539

EKSAKTA: Berkala Ilmiah Bidang MIPA

Open Access

Assessing the Impact of Household Socioeconomic Factors on Clean and Healthy Living Behaviors with Binary Logistic Regression: A Study in Probolinggo Regency

Moch Abdillah Nafis Nafis ¹

, Destri Susilaningrum ¹

, Brodjol Ulama ¹

, Dwi Endah Kusrini ¹

¹ Departement of Business Statistics, Faculty of Vacational, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia

Published 2024-12-30

Vol. 25 No. 04 (2024) PAGES 436-447

DOI 10.24036/eksakta/vol25-iss04/539

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Abstract

CHLB is a measure of livability in society. A high CHLB indicates a society that lives well. However, there is a problem in the probolinggo district that needs more effective public health interventions because of the area's fast population growth and a noticeable increase in infectious diseases. The adoption of Clean and Healthy Living Behaviors (CHLB) by Probolinggo district is the main focus of this study to find out who is still living below the applicable eligibility standards. In order to minimize the spread of infectious diseases and enhance general public health in Probolinggo Regency, policymakers and healthcare professionals are anticipated to find great value in the study's findings. It also examines the use of binary logistic regression with binary transformation all categorical variables as a supplemental technique for managing complex data relationships and enhancing predictive accuracy. In addition to addressing the pressing issues in public health, this study advances our knowledge of the socioeconomic factors that influence health in rural Indonesia.

References

1

Serpa, S., Ferreira, C. M., SÃ¡, M. J., & Santos, A. I. (2020). Digital society and social dynamics. Digital Society and Social Dynamics.

2

BKKBN (2024). Indonesian Population Report 2023. Directorate of Population Impact Analysis BKKBN.

3

BPS Probolinggo District (Accessed: Sep. 08, 2024.). Population of Probolinggo Regency per Subdistrict - Statistical Tables. Available: https://probolinggokab.bps.go.id/id/statistics-table/2/MTI0IzI=/jumlah-penduduk-kabupaten-probolinggo-per-kecamatan.html

4

Baker, R. E., Mahmud, A. S., Miller, I. F., Rajeev, M., Rasambainarivo, F., Rice, B. L., ... & Metcalf, C. J. E. (2022). Infectious disease in an era of global change. Nature Reviews Microbiology, 20(4), 193-205.

5

Paul, J. (2024). Introduction to Infectious Diseases. In Disease Causing Microbes (pp. 1-63). Cham: Springer International Publishing.

6

USAID (2022). A Story to Tell Better Health in Latin America and the Caribbean. U.S. Agency for International Development.

7

BPS. (2024). Probolinggo Regency in Figures 2024. BPS Catalog 1102001.3513

8

East Java Health Department. (2020). East Java Health Profile Year 2020. (Accessed: Sep. 08, 2024). [Online]. Available: https://dinkes.jatimprov.go.id/userfile/dokumen/ PROFIL%20KESEHATAN%202020.pdf

9

BPS (Accessed: Sep. 08, 2024). Probolinggo District Welfare Indicators 2023. Available : https://probolinggokab.bps.go.id/en/publication/2023/11/09/b12483f19ea34efef68caefd/indikator-kesejahteraan-rakyat-2023-kabupaten-probolinggo.html#:~:text=The%20publication%20of%20%22Probolinggo%20Regency%20People's

10

Wicaksono, A., Sholahuddin, A., & Widjajani, R. (2022). The Health Protocol in the Probolinggo District's Tourism Development. Cross Current Int J Econ Manag Media Stud, 4(4), 64-71.

11

Morales-GarzÃ³n, S., Parker, L. A., HernÃ¡ndez-Aguado, I., GonzÃ¡lez-Moro Tolosana, M., Pastor-Valero, M., & Chilet-Rosell, E. (2023). Addressing Health disparities through Community participation: A scoping review of Co-creation in Public Health. In Healthcare (Vol. 11, No. 7, p. 1034). MDPI.

12

Hasyim, H., Purnomo, M. E., Adhitya, B. B., Fajar, N. A., & Cahyono, H. (2021). Community Empowerment To Improve Clean And Healthy Living Behavior [Chlb]: An Action Research. International Journal Of Community Service, 1(3), 358-364.

13

Sari, R. P., Husaini, H., Suhartono, E., Arifin, S., & Febriana, S. K. T. Meta Analysis: Factors Relating to Clean and Healthy Living Behaviors (CHLB). Jurnal Berkala Kesehatan, 10(1), 62-69.

14

National Environment Agency (Accessed: Oct. 5, 2024). Updated Guidance on Improving Ventilation and Indoor Air Quality in Buildings for a Healthy Indoor Environment. https://www.nea.gov.sg/our-services/public-cleanliness/environmental-cleaning-guidelines/advisories/guidance-on-improving-ventilation-and-indoor-air-quality-in-buildings-for-a-healthy-indoor-environment#:~:text=Keep%20windows%20and/or%20doors%20open%20at

15

Bull, F. C., Al-Ansari, S. S., Biddle, S., Borodulin, K., Buman, M. P., Cardon, G., ... & Willumsen, J. F. (2020). World Health Organization 2020 guidelines on physical activity and sedentary behaviour. British journal of sports medicine, 54(24), 1451-1462.

16

Antonoplis, S. (2023). Studying socioeconomic status: Conceptual problems and an alternative path forward. Perspectives on Psychological Science, 18(2), 275-292.

17

Were, V., Foley, L., Turner-Moss, E., Mogo, E., Wadende, P., Musuva, R., & Obonyo, C. (2022). Comparison of household socioeconomic status classification methods and effects on risk estimation: lessons from a natural experimental study, Kisumu, Western Kenya. International Journal for Equity in Health, 21(1), 47.

18

Ruja, I. N., Sumarmi, & Idris. (2024). Programs, Opportunities, and Challenges in Poverty Reduction: A Systematic Review. SAGE Open, 14(2), 21582440241256242.

19

Starbuck, C. (2023). Logistic Regression. In The Fundamentals of People Analytics: With Applications in R (pp. 223-238). Cham: Springer International Publishing.

20

Laela, I. N. and Baihaqi, W. M. (2024). Classification Analysis of Multiple Sclerosis Disease Using Logistic Regression Algorithm and SVM, Generation Journal, vol. 8, no. 1, pp. 27â€“33.

21

Franklin, G., Stephens, R., Piracha, M., Tiosano, S., Lehouillier, F., Koppel, R., & Elkin, P. L. (2024). The Sociodemographic Biases in Machine Learning Algorithms: A Biomedical Informatics Perspective. Life, 14(6), 652.

22

Lewis, C. C., Boyd, M. R., Walsh-Bailey, C., Lyon, A. R., Beidas, R., Mittman, B., ... & Chambers, D. A. (2020). A systematic review of empirical studies examining mechanisms of implementation in health. Implementation Science, 15, 1-25.

23

Prameswari, Odelia Eka. (2022). Trend Pattern Analysis of Communicable Diseases by Subdistrict in Probolinggo Regency in 2020, Final Assignment ITS.

24

Kanda, A., Ncube, E. J., & Voyi, K. (2021). Effect of sanitation interventions on health outcomes: a systematic review of cluster-randomized controlled trials in rural communities of low-and middle-income countries. International Journal of Environmental Research and Public Health, 18(16), 8313.

25

Levesque, A. R., MacDonald, S., Berg, S. A., & Reka, R. (2021). Assessing the impact of changes in household socioeconomic status on the health of children and adolescents: a systematic review. Adolescent research review, 6(2), 91-123.

26

Das, A. (2023). Logistic Regression. In: Maggino, F. (eds) Encyclopedia of Quality of Life and Well-Being Research. Springer, Cham.

27

Atanet, I. R., Sehy, V., Sieg, M., & MÃ¤rz, M. (2024). The Identification of Guessing Patterns in Progress Testing as a Machine Learning Classification Problem.

28

Sen, Bodhisattva. (2020). GU4204: Statistical Inference. Columbia University.

29

Militao, E. M., Uthman, O. A., Salvador, E. M., Vinberg, S., & Macassa, G. (2024). Association between socioeconomic position of the household head, food insecurity and psychological health: an application of propensity score matching. BMC Public Health, 24(1), 2590.

30

Ernawati, K., Nadhifah, Q., Muslikha, A., Hidayat, M., Soesilo, T. E., Jannah, F., & Widianti, D. (2021). Relationship of knowledge and attitude with food handling practices: A systematic review. Int. J. Public Health, 10, 336-347.

31

Idroes, G. M., Riski, F., Safira, M., Ulfa, N., Wahyu, R., & Yani, S. M. (2022). Surveillance Analysis Of Clean And Healthy Living Behavior (Chlb) In Household Settings: A Case Study In Lam Geu Eu Village, Peukan Bada Subdistrict, Aceh Besar Regency. Transpublika International Research In Exact Sciences, 1(3), 32-43.

32

Patmawati, P., and Herman, N. F. (2021). Clean and Healthy Living Behavior with Skin Disease Incidence, Journal of Professional Nursing, vol. 2, no. 1, pp. 15â€“24.

Assessing the Impact of Household Socioeconomic Factors on Clean and Healthy Living Behaviors with Binary Logistic Regression: A Study in Probolinggo Regency

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