Environmental and Behavioral Determinants of Septicemia Mortality in Türkiye: A Ten-Year Analysis
Year 2024,
Volume: 6 Issue: 2, 115 - 125, 25.12.2024
Hilal Kocak
,
Mehmet Tutar
,
Mehmet Koçak
Abstract
This study examines the environmental and behavioral factors associated with variations in septicemia mortality rates across Turkish provinces. Province-level data spanning ten years were analyzed using ordinal logistic regression modeling to determine the predictors of septicemia mortality. Environmental factors such as humidity, temperature, and air pollutants, along with behavioral aspects including alcohol consumption, were evaluated. Analysis of the provided data revealed significant regional variations in septicemia mortality rates across areas with diverse environmental and social characteristics. Higher median humidity and stable environmental conditions (low variability in humidity and temperature) correlated with reduced mortality rates. Alcohol consumption was identified as a risk factor, moderately increasing the risk of septicemia mortality. The findings highlight the intricate relationship between environmental stability, personal behaviors, and septicemia outcomes. The study accentuates the need for targeted public health strategies and suggests that mitigating environmental risks and fostering healthy behaviors could effectively reduce septicemia mortality. Further studies should focus on individual-level data and explore the relationship between these factors in different climatic conditions.
Ethical Statement
Our research protocol was approved by Istanbul Medipol University Ethics Committee (Application number: 10840098-604.01.01-E.53819). The Ethics Committee waived the need for Informed Consent as there is no human subject involved in this research. Data is simply province-level mortality data provided by the Turkish Statistical Institute per year.
Supporting Institution
Istanbul Medipol University
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Year 2024,
Volume: 6 Issue: 2, 115 - 125, 25.12.2024
Hilal Kocak
,
Mehmet Tutar
,
Mehmet Koçak
References
- Angus, D. C., & Van der Poll, T. (2013). Severe sepsis and septic shock. New England Journal of Medicine, 369(9), 840–851.
- Benjamini, Y., & Hochberg, Y. (1995). Controlling the false discovery rate: A practical and powerful approach to multiple testing. Journal of the Royal Statistical Society: Series B (Methodological), 57(1), 289–300.
- Brown, L., & Murray, V. (2013). Examining the relationship between infectious diseases and flooding in Europe: A systematic literature review and summary of possible public health interventions. Disaster Health, 1(2), 117–127.
- Fleischmann, C., Scherag, A., Adhikari, N. K., Hartog, C. S., Tsaganos, T., Schlattmann, P., Angus, D. C., & Reinhart, K. (2016). Assessment of global incidence and mortality of hospital-treated sepsis. Current estimates and limitations. American Journal of Respiratory and Critical Care Medicine, 193(3), 259–272.
- GBD 2017 Risk Factor Collaborators. (2018). Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990-2017: A systematic analysis for the Global Burden of Disease Study 2017. Lancet, 392(10159), 1923–1994.
- Holick, M. F. (2017). The vitamin D deficiency pandemic: Approaches for diagnosis, treatment and prevention. Reviews in Endocrine and Metabolic Disorders, 18, 153–165.
- Johnson, G. R., & Morawska, L. (2009). The mechanism of breath aerosol formation. Journal of Aerosol Medicine and Pulmonary Drug Delivery, 22(3), 229–237.
- Jones, B. L., Nagin, D. S., & Roeder, K. (2001). A SAS procedure based on mixture models for estimating developmental trajectories. Sociological Methods & Research, 29(3), 374–393.
- Kim, K. E., Cho, D., & Park, H. J. (2016). Air pollution and skin diseases: Adverse effects of airborne particulate matter on various skin diseases. Life Sciences, 152, 126–134.
- Lafferty, K. D. (2009). The ecology of climate change and infectious diseases. Ecology, 90(4), 888–900.
- Lee, W., Bell, M. L., Gasparrini, A., Armstrong, B. G., Sera, F., Hwang, S., Lavigne, E., Zanobetti, A., Coelho, M. S. Z. S., Saldiva, P. H. N., Osorio, S., Tobias, A., Zeka, A., Goodman, P. G., Forsberg, B., Rocklöv, J., Hashizume, M., Honda, Y., Guo, Y.-L. L., Seposo, X., & Kim, H. (2018). Mortality burden of diurnal temperature range and its temporal changes: A multi-country study. Environment International, 110, 123–130.
- Molina, P. E., Happel, K. I., Zhang, P., Kolls, J. K., & Nelson, S. (2010). Focus on: Alcohol and the immune system. Alcohol Research & Health, 33(1-2), 97.
- Pope III, C. A., Turner, M. C., Burnett, R. T., Jerrett, M., Gapstur, S. M., Diver, W. R., Krewski, D., & Brook, R. D. (2015). Relationships between fine particulate air pollution, cardiometabolic disorders, and cardiovascular mortality. Circulation Research, 116(1), 108–115.
- Reilly, J. P., Zhao, Z., Shashaty, M. G. S., Koyama, T., Jones, T. K., Anderson, B. J., Ittner, C. A., Dunn, T., Miano, T. A., Oniyide, O., Balmes, J. R., Matthay, M. A., Calfee, C. S., Christie, J. D., Meyer, N. J., & Ware, L. B. (2023). Exposure to ambient air pollutants and acute respiratory distress syndrome risk in sepsis. Intensive Care Medicine, 49(8), 957–965.
- World Health Organization. (2020). Sepsis. Retrieved from https://www.who.int/news-room/fact-sheets/detail/sepsis
- Wu, X., Lu, Y., Zhou, S., Chen, L., & Xu, B. (2016). Impact of climate change on human infectious diseases: Empirical evidence and human adaptation. Environment International, 86, 14–23.
- Yue, J. L., Liu, H., Li, H., Liu, J. J., Hu, Y. H., Wang, J., Lin, L., & Wang, F. (2020). Association between ambient particulate matter and hospitalization for anxiety in China: A multicity case-crossover study. International Journal of Hygiene and Environmental Health, 223(1), 171–178.
- Zhang, X., Chen, X., & Zhang, X. (2018). The impact of exposure to air pollution on cognitive performance. Proceedings of the National Academy of Sciences, 115(37), 9193–9197.