Research Article
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Year 2020, , 79 - 88, 31.03.2020

Nur H. Orak

https://doi.org/10.7240/jeps.527229

Abstract

References

  • Gee, G. C.; Payne-Sturges, D. C., Environmental health disparities: A framework integrating psychosocial and environmental concepts. Environmental Health Perspectives 2004, 112, (17), 1645-1653.
  • Morello-Frosch, R.; Shenassa, E. D., The environmental "Riskscape" and social inequality: Implications for explaining maternal and child health disparities. Environmental Health Perspectives 2006, 114, (8), 1150-1153.
  • Stieb, D. M.; Chen, L.; Eshoul, M.; Judek, S., Ambient air pollution, birth weight and preterm birth: a systematic review and meta-analysis. Environmental research 2012, 117, 100-11.
  • Burton, G. J.; Jauniaux, E., Oxidative stress. Best Practice & Research Clinical Obstetrics & Gynaecology 2011, 25, (3), 287-299.
  • Dadvand, P.; Parker, J.; Bell, M. L.; Bonzini, M.; Brauer, M.; Darrow, L. A.; Gehring, U.; Glinianaia, S. V.; Gouveia, N.; Ha, E.-h.; Leem, J. H.; van den Hooven, E. H.; Jalaludin, B.; Jesdale, B. M.; Lepeule, J.; Morello-Frosch, R.; Morgan, G. G.; Pesatori, A. C.; Pierik, F. H.; Pless-Mulloli, T.; Rich, D. Q.; Sathyanarayana, S.; Seo, J.; Slama, R.; Strickland, M.; Tamburic, L.; Wartenberg, D.; Nieuwenhuijsen, M. J.; Woodruff, T. J., Maternal Exposure to Particulate Air Pollution and Term Birth Weight: A Multi-Country Evaluation of Effect and Heterogeneity. Environmental Health Perspectives 2013, 121, (3), 367-373.
  • Tian, N.; Xue, J.; Barzyk, T. M., Evaluating socioeconomic and racial differences in traffic-related metrics in the United States using a GIS approach. Journal of Exposure Science and Environmental Epidemiology 2013, 23, (2), 215-222.
  • Blumenshine, P.; Egerter, S.; Barclay, C. J.; Cubbin, C.; Braveman, P. A., Socioeconomic Disparities in Adverse Birth Outcomes A Systematic Review. American Journal of Preventive Medicine 2010, 39, (3), 263-272.
  • Nweke, O. C.; Garcia, L.; Lee, C.; Case, H.; Payne-Sturges, D.; Sanders, W. H., III; Zenick, H.; Grevatt, P.; Dankwa-Mullan, I., Symposium on Integrating the Science of Environmental Justice into Decision-Making at the Environmental Protection Agency: An Overview. American Journal of Public Health 2011, 101, S19-S26.
  • Sexton, K.; Linder, S. H., Cumulative Risk Assessment for Combined Health Effects From Chemical and Nonchemical Stressors. American Journal of Public Health 2011, 101, S81-S88.
  • Zota, A. R.; Shenassa, E. D.; Morello-Frosch, R., Allostatic load amplifies the effect of blood lead levels on elevated blood pressure among middle-aged US adults: a cross-sectional study. Environmental Health 2013, 12.
  • Hicken, M. T.; Adar, S. D.; Roux, A. V. D.; O'Neill, M. S.; Magzamen, S.; Auchincloss, A. H.; Kaufman, J. D., Do Psychosocial Stress and Social Disadvantage Modify the Association Between Air Pollution and Blood Pressure? The Multi-Ethnic Study of Atherosclerosis. American Journal of Epidemiology 2013, 178, (10), 1550-1562.
  • McEwen, B. S., Stress, adaptation, and disease - Allostasis and allostatic load. In Neuroimmunomodulation: Molecular Aspects, Integrative Systems, and Clinical Advances, McCann, S. M.; Lipton, J. M.; Sternberg, E. M.; Chrousos, G. P.; Gold, P. W.; Smith, C. C., Eds. 1998; Vol. 840, pp 33-44.
  • McEwen, B. S.; Seeman, T., Protective and damaging effects of mediators of stress - Elaborating and testing the concepts of allostasis and allostatic load. In Socioeconomic Status and Health in Industrial Nations: Social, Psychological, and Biological Pathways, Adler, N. E.; Marmot, M.; McEwen, B.; Stewart, J., Eds. 1999; Vol. 896, pp 30-47.
  • Attar, B. K.; Guerra, N. G.; Tolan, P. H., NEIGHBORHOOD DISADVANTAGE, STRESSFUL LIFE EVENTS, AND ADJUSTMENT IN URBAN ELEMENTARY-SCHOOL-CHILDREN. Journal of Clinical Child Psychology 1994, 23, (4), 391-400.
  • Ross, C. E.; Mirowsky, J., Disorder and decay - The concept and measurement of perceived neighborhood disorder. Urban Affairs Review 1999, 34, (3), 412-432.
  • Cohen, S.; Kamarck, T.; Mermelstein, R., A GLOBAL MEASURE OF PERCEIVED STRESS. Journal of Health and Social Behavior 1983, 24, (4), 385-396.
  • Pickett, K. E.; Wilkinson, R. G., Income inequality and health: a causal review. Social science & medicine 2015, 128, 316-26.
  • Shmool, J. L.; Bobb, J. F.; Ito, K.; Elston, B.; Savitz, D. A.; Ross, Z.; Matte, T. D.; Johnson, S.; Dominici, F.; Clougherty, J. E., Area-level socioeconomic deprivation, nitrogen dioxide exposure, and term birth weight in New York City. Environmental research 2015, 142, 624-32.
  • Messer, L. C.; Laraia, B. A.; Kaufman, J. S.; Eyster, J.; Holzman, C.; Culhane, J.; Elo, I.; Burke, J. G.; O'Campo, P., The development of a standardized neighborhood deprivation index. Journal of Urban Health-Bulletin of the New York Academy of Medicine 2006, 83, (6), 1041-1062.
  • bayesfusion.com GeNIe software, available from http://www.bayesfusion.com/
  • Newton, A. C., Bayesian Belief Networks in Environmental Modeling: A Review of Recent Progress. Environmental Modelling 2009, 13-50.
  • Pearl, J., Probabilistic reasoning in intelligent systems: networks of plausible inference. Morgan Kaufmann Publishers: Los Angeles, 1988.
  • Pollino, C. A.; Henderson, C. Bayesian networks: A guide for their application in natural resource management and policy; Australian Government: 2010.
  • Murphy, K. P., Machine Learning A Probabilistic Perspective. The MIT Press: Cambridge, Massachusetts, London, England, 2012.

Coğrafi sosyo-ekonomik mahrumiyetin ve hava kirleticilerinin bebek doğum ağırlığı üzerindeki etkisi

Year 2020, , 79 - 88, 31.03.2020

Nur H. Orak

https://doi.org/10.7240/jeps.527229

Abstract

Klasik çevresel sağlık risk tahmin metotları,
insan-çevre sistemlerinin döngüselliğine çözüm getirmede ve çevresel kirletici
değişkenlerinin insan sağlığı üzerindeki olası etkilerinin incelenmesinde
yetersiz kalmaktadır. Bu çalışmada Bayesian metotları kullanarak nitrojen
dioksit (NO2) maruziyeti, partikül madde (PM), sosyoekonomik
mahrumiyet ve bebek doğum ağırlığı arasındaki ilişkinin New York şehri örneği
üzerinde araştırılması hedeflenmiştir. Epidemiyolojide NO2 ve PMmaruziyetinin olası karıştırıcı etkenler (ör. vücut kitle indeksi)
üzerindeki  etkilerini göz önüne
alabilmek için, ve NO2, PM ve değişkenlerin (ör. sosyoekonomik
mahrumiyet) teorik etkileri arasında iki yönlü ilişkinin incelenmesi için
Bayesian Ağ (BA) modeli geliştirilmiştir. Geliştirilen PM-NO2-B etki modeli ile farklı türdeki bilgileri biraraya getirerek risk analizi
gerçekleştirilmiştir. Bu makalede sunulan modelleme yaklaşımı halk sağlığına
etki eden risk faktörleri arasındaki doğrusal olmayan ilişkinin değerlendirilmesi
konusunda önemli katkıda bulunacaktır.

Keywords

İstatiksel çevre risk analizi maruziyet-sağlık ilişkisi halk sağlığı NO2 PM sosyoekonomik mahrumiyet

References

  • Gee, G. C.; Payne-Sturges, D. C., Environmental health disparities: A framework integrating psychosocial and environmental concepts. Environmental Health Perspectives 2004, 112, (17), 1645-1653.
  • Morello-Frosch, R.; Shenassa, E. D., The environmental "Riskscape" and social inequality: Implications for explaining maternal and child health disparities. Environmental Health Perspectives 2006, 114, (8), 1150-1153.
  • Stieb, D. M.; Chen, L.; Eshoul, M.; Judek, S., Ambient air pollution, birth weight and preterm birth: a systematic review and meta-analysis. Environmental research 2012, 117, 100-11.
  • Burton, G. J.; Jauniaux, E., Oxidative stress. Best Practice & Research Clinical Obstetrics & Gynaecology 2011, 25, (3), 287-299.
  • Dadvand, P.; Parker, J.; Bell, M. L.; Bonzini, M.; Brauer, M.; Darrow, L. A.; Gehring, U.; Glinianaia, S. V.; Gouveia, N.; Ha, E.-h.; Leem, J. H.; van den Hooven, E. H.; Jalaludin, B.; Jesdale, B. M.; Lepeule, J.; Morello-Frosch, R.; Morgan, G. G.; Pesatori, A. C.; Pierik, F. H.; Pless-Mulloli, T.; Rich, D. Q.; Sathyanarayana, S.; Seo, J.; Slama, R.; Strickland, M.; Tamburic, L.; Wartenberg, D.; Nieuwenhuijsen, M. J.; Woodruff, T. J., Maternal Exposure to Particulate Air Pollution and Term Birth Weight: A Multi-Country Evaluation of Effect and Heterogeneity. Environmental Health Perspectives 2013, 121, (3), 367-373.
  • Tian, N.; Xue, J.; Barzyk, T. M., Evaluating socioeconomic and racial differences in traffic-related metrics in the United States using a GIS approach. Journal of Exposure Science and Environmental Epidemiology 2013, 23, (2), 215-222.
  • Blumenshine, P.; Egerter, S.; Barclay, C. J.; Cubbin, C.; Braveman, P. A., Socioeconomic Disparities in Adverse Birth Outcomes A Systematic Review. American Journal of Preventive Medicine 2010, 39, (3), 263-272.
  • Nweke, O. C.; Garcia, L.; Lee, C.; Case, H.; Payne-Sturges, D.; Sanders, W. H., III; Zenick, H.; Grevatt, P.; Dankwa-Mullan, I., Symposium on Integrating the Science of Environmental Justice into Decision-Making at the Environmental Protection Agency: An Overview. American Journal of Public Health 2011, 101, S19-S26.
  • Sexton, K.; Linder, S. H., Cumulative Risk Assessment for Combined Health Effects From Chemical and Nonchemical Stressors. American Journal of Public Health 2011, 101, S81-S88.
  • Zota, A. R.; Shenassa, E. D.; Morello-Frosch, R., Allostatic load amplifies the effect of blood lead levels on elevated blood pressure among middle-aged US adults: a cross-sectional study. Environmental Health 2013, 12.
  • Hicken, M. T.; Adar, S. D.; Roux, A. V. D.; O'Neill, M. S.; Magzamen, S.; Auchincloss, A. H.; Kaufman, J. D., Do Psychosocial Stress and Social Disadvantage Modify the Association Between Air Pollution and Blood Pressure? The Multi-Ethnic Study of Atherosclerosis. American Journal of Epidemiology 2013, 178, (10), 1550-1562.
  • McEwen, B. S., Stress, adaptation, and disease - Allostasis and allostatic load. In Neuroimmunomodulation: Molecular Aspects, Integrative Systems, and Clinical Advances, McCann, S. M.; Lipton, J. M.; Sternberg, E. M.; Chrousos, G. P.; Gold, P. W.; Smith, C. C., Eds. 1998; Vol. 840, pp 33-44.
  • McEwen, B. S.; Seeman, T., Protective and damaging effects of mediators of stress - Elaborating and testing the concepts of allostasis and allostatic load. In Socioeconomic Status and Health in Industrial Nations: Social, Psychological, and Biological Pathways, Adler, N. E.; Marmot, M.; McEwen, B.; Stewart, J., Eds. 1999; Vol. 896, pp 30-47.
  • Attar, B. K.; Guerra, N. G.; Tolan, P. H., NEIGHBORHOOD DISADVANTAGE, STRESSFUL LIFE EVENTS, AND ADJUSTMENT IN URBAN ELEMENTARY-SCHOOL-CHILDREN. Journal of Clinical Child Psychology 1994, 23, (4), 391-400.
  • Ross, C. E.; Mirowsky, J., Disorder and decay - The concept and measurement of perceived neighborhood disorder. Urban Affairs Review 1999, 34, (3), 412-432.
  • Cohen, S.; Kamarck, T.; Mermelstein, R., A GLOBAL MEASURE OF PERCEIVED STRESS. Journal of Health and Social Behavior 1983, 24, (4), 385-396.
  • Pickett, K. E.; Wilkinson, R. G., Income inequality and health: a causal review. Social science & medicine 2015, 128, 316-26.
  • Shmool, J. L.; Bobb, J. F.; Ito, K.; Elston, B.; Savitz, D. A.; Ross, Z.; Matte, T. D.; Johnson, S.; Dominici, F.; Clougherty, J. E., Area-level socioeconomic deprivation, nitrogen dioxide exposure, and term birth weight in New York City. Environmental research 2015, 142, 624-32.
  • Messer, L. C.; Laraia, B. A.; Kaufman, J. S.; Eyster, J.; Holzman, C.; Culhane, J.; Elo, I.; Burke, J. G.; O'Campo, P., The development of a standardized neighborhood deprivation index. Journal of Urban Health-Bulletin of the New York Academy of Medicine 2006, 83, (6), 1041-1062.
  • bayesfusion.com GeNIe software, available from http://www.bayesfusion.com/
  • Newton, A. C., Bayesian Belief Networks in Environmental Modeling: A Review of Recent Progress. Environmental Modelling 2009, 13-50.
  • Pearl, J., Probabilistic reasoning in intelligent systems: networks of plausible inference. Morgan Kaufmann Publishers: Los Angeles, 1988.
  • Pollino, C. A.; Henderson, C. Bayesian networks: A guide for their application in natural resource management and policy; Australian Government: 2010.
  • Murphy, K. P., Machine Learning A Probabilistic Perspective. The MIT Press: Cambridge, Massachusetts, London, England, 2012.
There are 24 citations in total.

Details

Primary Language Turkish
Subjects Engineering
Journal Section Research Articles
Authors

Nur H. Orak 0000-0002-3830-9260

Publication Date March 31, 2020
Published in Issue Year 2020

Cite

APA Orak, N. H. (2020). Coğrafi sosyo-ekonomik mahrumiyetin ve hava kirleticilerinin bebek doğum ağırlığı üzerindeki etkisi. International Journal of Advances in Engineering and Pure Sciences, 32(1), 79-88. https://doi.org/10.7240/jeps.527229
AMA Orak NH. Coğrafi sosyo-ekonomik mahrumiyetin ve hava kirleticilerinin bebek doğum ağırlığı üzerindeki etkisi. JEPS. March 2020;32(1):79-88. doi:10.7240/jeps.527229
Chicago Orak, Nur H. “Coğrafi Sosyo-Ekonomik Mahrumiyetin Ve Hava Kirleticilerinin Bebek doğum ağırlığı üzerindeki Etkisi”. International Journal of Advances in Engineering and Pure Sciences 32, no. 1 (March 2020): 79-88. https://doi.org/10.7240/jeps.527229.
EndNote Orak NH (March 1, 2020) Coğrafi sosyo-ekonomik mahrumiyetin ve hava kirleticilerinin bebek doğum ağırlığı üzerindeki etkisi. International Journal of Advances in Engineering and Pure Sciences 32 1 79–88.
IEEE N. H. Orak, “Coğrafi sosyo-ekonomik mahrumiyetin ve hava kirleticilerinin bebek doğum ağırlığı üzerindeki etkisi”, JEPS, vol. 32, no. 1, pp. 79–88, 2020, doi: 10.7240/jeps.527229.
ISNAD Orak, Nur H. “Coğrafi Sosyo-Ekonomik Mahrumiyetin Ve Hava Kirleticilerinin Bebek doğum ağırlığı üzerindeki Etkisi”. International Journal of Advances in Engineering and Pure Sciences 32/1 (March 2020), 79-88. https://doi.org/10.7240/jeps.527229.
JAMA Orak NH. Coğrafi sosyo-ekonomik mahrumiyetin ve hava kirleticilerinin bebek doğum ağırlığı üzerindeki etkisi. JEPS. 2020;32:79–88.
MLA Orak, Nur H. “Coğrafi Sosyo-Ekonomik Mahrumiyetin Ve Hava Kirleticilerinin Bebek doğum ağırlığı üzerindeki Etkisi”. International Journal of Advances in Engineering and Pure Sciences, vol. 32, no. 1, 2020, pp. 79-88, doi:10.7240/jeps.527229.
Vancouver Orak NH. Coğrafi sosyo-ekonomik mahrumiyetin ve hava kirleticilerinin bebek doğum ağırlığı üzerindeki etkisi. JEPS. 2020;32(1):79-88.