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مدل‌‌سازی ارتباط فضایی سرطان‌‌های ریه با فاکتورهای محیط ساخته‌‌شده در محلات شهر تهران | ||
| پژوهشهای جغرافیای انسانی | ||
| مقاله 1، دوره 52، شماره 4، دی 1399، صفحه 1153-1176 اصل مقاله (1.55 M) | ||
| نوع مقاله: مقاله علمی پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22059/jhgr.2017.209711.1007255 | ||
| نویسندگان | ||
| سعید آزادی1؛ ابوافضل مشکینی* 2؛ عبدالرضا رکن الدین افتخاری3؛ احسان مصطفوی4؛ محسن احدنژاد روشتی5؛ پریسا ملکی6 | ||
| 1دانشجوی دکتری جغرافیا و برنامه ریزی شهری، دانشگاه تربیت مدرس | ||
| 2دانشیار گروه جغرافیا و برنامه ریزی، دانشگاه تربیت مدرس | ||
| 3استاد گروه جغرافیا و برنامه ریزی، دانشگاه تربیت مدرس | ||
| 4استاد گروه اپیدمیولوژی انستیتو پاستور ایران | ||
| 5دانشیار گروه جغرافیا، دانشگاه زنجان | ||
| 6کارشناس ارشد شهرسازی، دانشگاه مازندران | ||
| چکیده | ||
| در طی دهة اخیر علایق گستردهای دربارة مطالعة نقش همسایگیها و فرم شهری بر سرطان و نابرابریهای سرطان در مناطق جغرافیایی شکل گرفته است. پژوهش حاضر با هدف مدل‌‌سازی ارتباط فضایی سرطان‌‌های ریه با عوامل محیط ساخته‌‌شده از جمله آلودگی هوا، فرم شهری، دسترسی به خدمات عمومی، و شاخصهای اجتماعی- اقتصادی در محلات شهر تهران انجام گرفته است. این پژوهش از نوع تحقیقات کاربردی است و به لحاظ روش نیز در دستة تحقیقات توصیفی و علّی قرار دارد. جامعة آماری این تحقیق شامل کلیة بیماران مبتلا به سرطان ریه است که در سالهای 1385-1389 در وزارت بهداشت و درمان کشور ثبت شدهاند. از روشهای آماری تحلیل عاملی اکتشافی و رگرسیون چندگانه در محیط نرمافزاری SPSS بهترتیب برای کاهش حجم متغیرها و استخراج متغیرهای تبیینکنندة واریانس سرطان‌‌های ریه در سطح اطمینان 95درصد استفاده شد. همچنین، از مدل‌‌سازی معادلات ساختاری (SEM) در محیط نرمافزاری Amos Graphicبرای محاسبة اثر مستقیم، اثر غیرمستقیم، و اثر کل متغیرهای مستقل در تبیین تغییرات سرطان‌‌های ریه استفاده شد. نتایج این تحقیق نشان داد شاخصهای آلودگی هوا حدود 30درصد واریانس سرطان‌‌های ریه را در محلات شهر تهران تبیین نمودند؛ متغیرهای قابلیت پیادهمداری، اختلاط کاربری زمین، نسبت سطح اشغال، نسبت تراکم ساختمانی، و تراکم کاربریهای اداری از شاخصهای بُعد فرم شهریاند که در سطح آلفا 05/0 ارتباط آماری معنیداری را با توزیع جغرافیایی سرطان‌‌های ریه نشان دادهاند که شاخص قابلیت پیادهمداری از نظر میانگین اثر مستقیم ارتباط معکوس داشته است و بقیة شاخصهای مذکور ارتباط مستقیمی داشتهاند. شاخصهای دسترسی به خدمات آموزشی، دسترسی به خدمات حملونقل عمومی، و دسترسی به فضاها و امکانات تفریحی نیز، برخلاف فرضیة ضمنی این پژوهش، ارتباط مثبت و معنیداری با متغیر وابسته داشتهاند. از نظر بُعد اجتماعی- اقتصادی نیز شاخصهای گروههای سنی آسیبپذیر، گروههای پایین اقتصادی، تراکم جمعیت، و سطح تحصیلات (زیر دیپلم و دانشگاهی) بهطور میانگین با اثر کل 08/0 ارتباط مستقیمی با توزیع فضایی سرطان‌‌های ریه نشان دادهاند. | ||
| کلیدواژه‌ها | ||
| تهران؛ سرطان ریه؛ محیط ساخته‌‌شده؛ مدل‌‌سازی معادلات ساختاری؛ Amos Graphic | ||
| عنوان مقاله [English] | ||
| Modelling the Spatial Association of Lung Cancer with Built Environmental Factors in Neighborhoods of Tehran Metropolitan | ||
| نویسندگان [English] | ||
| Saeid Azadi Ghatar1؛ Abolfazl Meshkini2؛ Abdolreza Roknoldin Eftekhari3؛ Ehsan Mostafavi4؛ Mohsen Ahadnejad Reveshty5؛ Parisa Maleki6 | ||
| 1Tarbiat Modares University | ||
| 2Geography and planning Department of Tarbiat Modares university | ||
| 3Professor in Geography Department Tarbiat Modares University | ||
| 4Associate Professor in Research Centre for Emerging and Reemerging infectious diseases, Pasteur Institute of Iran Tehran, Iran & Department of Epidemiology and Biostatistics | ||
| 5University of Zanjan | ||
| چکیده [English] | ||
| Introduction There is satisfying evidence that the socio-economical and built environmental conditions facing residents affect health as much as the individual characteristics of residents themselves (Jackson, 2003: 1382-83 cited in: Gomez, et al. 2015: 2314). In other words, neighborhood social and built environments have been recognized as important contexts in which health is shaped (Gomez & et al, 2015: 2314 & Ansello, 2016: 1). There is now widespread interest in the role of neighborhoods in cancer and cancer disparities (Landrine & et al, 2012: 141; Baker & et al., 2000; Krieger & et al., 2002; Singh & et al., 2003). Neighborhoods contribute to disparities in cancer and its risk factors and, hence, understanding the nature of that contribution can highlight new community-level approaches to reducing cancer disparities (Landrine, et al., 2012: 141). Cancer is a chronic disease associated with genetic mutations caused by various exposures, most of them environmental (Dey et al, 2011: 254 and Smeltzer & et al, 2007: 1001). Meanwhile, lung cancer is the most common cancer in the world, with the majority of the cases in developing countries (Ferlayetal., 2010; Jemal etal.,2011 Cited in Guo, et al,. 2016). It is estimated that there were 1.825 million lung cancer cases globally in 2012, accounting for 13.0% of all cancer cases, and 1.59 million deaths from lung cancer, responsible for 19.4% of deaths from all cancers (Chen, et al., 2015: 307). Although personal choices, such as tobacco use, dietary and physical activity patterns, play a major role in the development of cancer, environmental and occupational factors are involved in the causation of a large number of human cancers (WHO-a, 2011: 1 & Anand, et al, 2008: 2098; Black & Hawaks, 2009: 504; Tomatis, 1990). In this regard, several studies have shown that the air pollution, physical inactivity, overweight and obesity are the key risk factors for lung cancers that urban planning can have an effective role in improving or reducing of their incidence. Given the inverse relationship of these factors with the neighborhood walkability, walking and physical activity; and due to little knowledge about the potential role of the urban built environments in reduce of the trend, the present paper seeks the modelling the spatial association of lung cancer with built environmental factors such as air pollution, urban form, access to public services and social and economic indicators in neighborhoods of Tehran metropolitan in the period of 2006-2010. Methodology and Materials The research is conducted using descriptive and analytical approaches. Several data and methods are used due to multifaceted nature of the research subject. In this regard, spatial statistics and geo-statistics methods are employed. PM10, PM2.5 and CO data are used that adapted from Tehran air pollution monitoring center and along with Lung cancers data (2006-2010) from ministry of health and population density from Iran statistics Center. Lung cancers data is used for identifying geographical pattern (Cluster, scattered and random) of its by using Moran’s spatial autocorrelation statistics. Also Getis-Ord general G statistics and Cluster and Outlier Analysis (Anselin Local Moran's I) statistics, respectively, are employed for detecting High/Low value clustering and mapping the cluster and outliers. Invers Distance Weighted and kriging methods are used for interpolating point based air pollution parameters (CO, PM10, PM2.5) data. Population and employment data and Tehran’s land use and road network data are used as a mediating factors. All of mentioned statistics are done in ArcMap 10.3.1 software. Results and discussion Transportation is one of the most important sources of air pollutant emissions in Tehran city. In this case, urban air pollution is caused by urban transportation systems and suburban factories. Two major groups of polluting industries around Tehran are automotive and fuel production industries (Vafa-Arani, et al, 2014) that are located in west and south west of the city in the courses of prevailing winds. These two industries are the most related to the urban transportation systems. Ineffective public transportation infrastructures, non-standard streets and highways, population congestion, non-efficient urban management and planning, and several other reasons cause high traffic congestion in the metropolitan area of Tehran. Due to the closure of Tehran in northern, northeastern and partly east by mountains, this is an issue that worsen the air pollution in Tehran which brings many negative effects on lung cancer. The overall results showed that by applying the following policies, it can be overcome to the public health and air pollution problems in the medium and long-term: using urban smart growth policies and transit-oriented development approaches (TOD) in urban planning and designing practices; propagating the culture of using public transport; developing the natural, open and green zones and spaces in the city and especially in the western area of the city where there are more polluting sources. Conclusion Automobile dependence cities today are revealed in modern urban societies. The context preparation for automobile dependence phenomenon are improving living standards and tendency to well-being. This is in addition to the lack of necessary transport infrastructures and public transport options in developing countries, has brought many expenses including: exhaustion of natural resources, environmental hazards and public health problems. Despite that the numerous factors are involved in production and Intensifying the urban air pollution and its related problems, but ultimately this somehow refers to urban and suburbs land uses. Redistribution of land uses in urban spaces is one of the strategies that has been proposed to achieve the appropriate development patterns in order to reduce urban challenges and pollution, especially air pollution in different urban scales. Studies show that compact and smart growth urban forms has greatly impacts on reducing the air pollution (Bahtash & et al, 2013). Urban form and public transport network developments must comply with and support each other as much as possible. The compliance can create urban forms that encourages the use of public transport to against using private automobile and reduces the amount of air pollutants and results improving public health and lung cancer outcomes. | ||
| کلیدواژه‌ها [English] | ||
| "Lung cancer", "Built environment", "Structural Equation Modeling", "Amos Graphic", Tehran | ||
| مراجع | ||
10. Buffart, L. M., Singh, A. S., van Loon, E. C., Vermeulen, H. I., Brug, J., & Chinapaw, M. J. (2014). Physical activity and the risk of developing lung cancer among smokers: a meta-analysis. Journal of Science and Medicine in Sport, Vol. 17, No. 1, PP. 67-71. 11. Cao, Y., & Ma, J. (2011). Body mass index, prostate cancer–specific mortality, and biochemical recurrence: a systematic review and meta-analysis. Cancer Prev Res (Phila), Vol. 4, No. 4, PP. 486-501. doi: 10. 1158/ 1940-6207. CAPR-10-0229. 12. Chen, G., Wan, X., Yang, G., & Zou, X. (2015). Traffic‐related air pollution and lung cancer: A meta‐analysis. Thoracic Cancer, Vol. 6, No. 3, PP. 307-318. 13. Chin, T. M., Tan, S. H., Lim, S. E., Iau, P., Yong, W. P., Wong, S. W., & Lee, S. C. (2005). Acceptance, motivators, and barriers in attending breast cancer genetic counseling in Asians. Cancer detection and prevention, Vol.29, No. 5, PP. 412-418. 14. Creatore, M. I., Glazier, R. H., Moineddin, R., Fazli, G. S., Johns, A., Gozdyra, P., ... & Booth, G. L. (2016). Association of neighborhood walkability with change in overweight, obesity, and diabetes. Jama, Vol. 315, No. 20, PP. 2211-2220. 15. Danaei, G., Vander Hoorn, S., Lopez, A. D., Murray, C. J., Ezzati, M., & Comparative Risk Assessment collaborating group (Cancers. (2005). Causes of cancer in the world: comparative risk assessment of nine behavioural and environmental risk factors. The Lancet, Vol. 366, No. 9499, PP. 1784-1793. 16. Dewi, N. U., Boshuizen, H. C., Johansson, M., Vineis, P., Kampman, E., Steffen, A., ... & Fagherazzi, G. (2016). Anthropometry and the Risk of Lung Cancer in EPIC. American journal of epidemiology, Vol. 184, No. 2, PP. 129-139. 17. Dey, S., Zhang, Z., Hablas, A., Seifeldein, I. A., Ramadan, M., El-Hamzawy, H., & Soliman, A. S. (2011). Geographic patterns of cancer in the population-based registry of Egypt: Possible links to environmental exposures. Cancer epidemiology, Vol. 35, No. 3, PP. 254-264. 18. Ding, D., & Gebel, K. (2012). Built environment, physical activity, and obesity: what have we learned from reviewing the literature?. Health & place, Vol. 18, No. 1, PP. 100-105. 19. Duan, P., Hu, C., Quan, C., Yi, X., Zhou, W., Yuan, M., ... & Yang, K. (2015). Body mass index and risk of lung cancer: Systematic review and dose-response meta-analysis. Scientific reports, 5. 20. Elk, R. and Landrine, H., (2012). Cancer disparities: causes and evidence-based solutions. Springer Publishing Company. 21. Emaus, A. and Thune, I. (2011). Physical activity and lung cancer prevention. In Physical Activity and Cancer (PP. 101-133). Springer Berlin Heidelberg. 22. Evans, J., van Donkelaar, A., Martin, R. V., Burnett, R., Rainham, D. G., Birkett, N. J., & Krewski, D. (2013). Estimates of global mortality attributable to particulate air pollution using satellite imagery. Environmental research, Vol. 120, PP. 33-42. 23. Irwin, M. L. (2013). Benefits of aerobic and resistance exercise for cancer survivors. In Exercise, Energy Balance, and Cancer (pp. 199-214). Springer New York. 24. Fajersztajn, L., Veras, M., Barrozo, L. V., & Saldiva, P. (2013). Air pollution: a potentially modifiable risk factor for lung cancer. Nature Reviews Cancer, Vol. 13, No. 9, PP. 674-678. 25. Felder, R. B. (2011). The Influence of Neighborhood Walkability on Physical Activity Level and Perceived Health Status (Doctoral dissertation, Walden University). 26. Frank, L. D., Sallis, J. F., Saelens, B. E., Leary, L., Cain, K., Conway, T. L., & Hess, P. M. (2010). The development of a walkability index: application to the Neighborhood Quality of Life Study. British journal of sports medicine, Vol. 44, No. 13, PP. 924-933. 27. Frank, L. D., Sallis, J. F., Conway, T. L., Chapman, J. E., Saelens, B. E., & Bachman, W. (2006). Many pathways from land use to health: associations between neighborhood walkability and active transportation, body mass index, and air quality. Journal of the American planning Association, Vol. 72, No. 1, PP. 75-87. 28. Frank, L. D., Saelens, B. E., Powell, K. E., & Chapman, J. E. (2007). Stepping towards causation: do built environments or neighborhood and travel preferences explain physical activity, driving, and obesity?. Social science & medicine, Vol. 65, No. 9, PP. 1898-1914. 29. Frumkin, H., Lawrence F., and Richard J. J. (2004). Urban sprawl and public health: Designing, planning, and building for healthy communities. Island Press. 30. Gomez, S. L., Shariff‐Marco, S., DeRouen, M., Keegan, T. H., Yen, I. H., Mujahid, M., ... & Glaser, S. L. (2015). The impact of neighborhood social and built environment factors across the cancer continuum: current research, methodological considerations, and future directions. Cancer, Vol. 121, No. 14, PP. 2314-2330. 31. Guo, Y., Zeng, H., Zheng, R., Li, S., Barnett, A. G., Zhang, S., ... & Williams, G. (2016). The association between lung cancer incidence and ambient air pollution in China: A spatiotemporal analysis. Environmental research, Vol. 144, PP. 60-65. 32. Hidayat, K., Du, X., Chen, G., Shi, M., & Shi, B. (2016). Abdominal obesity and lung cancer risk: systematic review and meta-analysis of prospective studies. Nutrients, Vol. 8, No. 810, PP. 1-13. 33. https://www.cancer.org/cancer/lung-cancer/prevention-and-early-detection/risk-factors.html. 34. Kabat, G. C., Kim, M., Hunt, J. R., Chlebowski, R. T., & Rohan, T. E. (2008). Body mass index and waist circumference in relation to lung cancer risk in the Women's Health Initiative. American journal of epidemiology, Vol. 168, No. 2, PP. 158-169. 35. Lam, T. K., Moore, S. C., Brinton, L. A., Smith, L., Hollenbeck, A. R., Gierach, G. L., & Freedman, N. D. (2013). Anthropometric measures and physical activity and the risk of lung cancer in never-smokers: a prospective cohort study. PloS one, Vol. 8, No. 8, PP.1-8. 36. Landrine, H.; Corral, I.; Hao, Y.; Kaw, C.; King, J. and Fondren, J. (2012). Cancer geography: the role of neighborhoods in cancer and cancer disparities. Cancer Disparities. New York, NY: Springer, PP. 141-166. 37. Leitzmann, M. F., Moore, S. C., Koster, A., Harris, T. B., Park, Y., Hollenbeck, A., & Schatzkin, A. (2011). Waist circumference as compared with body-mass index in predicting mortality from specific causes. PLoS One, Vol. 6, No. 4, PP.1-8. 38. Lin, Y. Y., Liu, M. F., Tzeng, J. I., & Lin, C. C. (2015). Effects of walking on quality of life among lung cancer patients: A longitudinal study. Cancer nursing, Vol. 38, No. 4, PP. 253-259. 39. Marshall, J. D., Brauer, M., & Frank, L. D. (2009). Healthy neighborhoods: walkability and air pollution. Environmental health perspectives, Vol. 117, No. 11, PP. 1752. 40. Meyerhardt, J. A., Giovannucci, E. L., Holmes, M. D., Chan, A. T., Chan, J. A., Colditz, G. A., & Fuchs, C. S. (2006). Physical activity and survival after colorectal cancer diagnosis. Journal of clinical oncology, Vol. 24, No. 22, PP. 3527-3534. 41. Olson, J. E., Yang, P., Schmitz, K., Vierkant, R. A., Cerhan, J. R., & Sellers, T. A. (2002). Differential association of body mass index and fat distribution with three major histologic types of lung cancer: evidence from a cohort of older women. American journal of epidemiology, Vol. 156, No. 7, PP. 606-615. 42. Prohaska, T., Belansky, E., Belza, B., Buchner, D., Marshall, V., McTigue, K., ... & Wilcox, S. (2006). Physical activity, public health, and aging: critical issues and research priorities. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, Vol. 61, No. 5, PP. S267-S273. 43. Raaschou-Nielsen, O., Beelen, R., Wang, M., Hoek, G., Andersen, Z. J., Hoffmann, B., ... & Nieuwenhuijsen, M. (2016). Particulate matter air pollution components and risk for lung cancer. Environment international, Vol. 87, PP. 66-73. 44. Renehan, A. G., Tyson, M., Egger, M., Heller, R. F., & Zwahlen, M. (2008). Body-mass index and incidence of cancer: a systematic review and meta-analysis of prospective observational studies. The Lancet, Vol. 371, No. 9612, PP. 569-578. 45. Siu, V. W. Y. (2011). The association between residential built environment and walking habits among older women in the Portland metro-area. 46. Smeltzer, F.; Bare, B.; Hinkel, L. and Cheever, H. (2007). Brunner & suddarth's text book of medical – surgical Nursing. 12th ed. London: Lippincot Williams & wikin Publishing. 47. Tomatis, L. (1990). Cancer: causes occurence and control. IARC scientific publications. 48. World Cancer Research Fund / American Institute for Cancer Research, 2007, Food, Nutrition, Physical Activity, and the Prevention of Cancer: a Global Perspective. Washington DC: AICR. 49. World Health Organization, 2011, Primary prevention of cancer through mitigation of environmental and occupational determinants. In International Conference on Environmental and Occupational Determinants of Cancer: Interventions for Primary Prevention. Austurias, Spain. 50. Yang, Y., Dong, J., Sun, K., Zhao, L., Zhao, F., Wang, L., & Jiao, Y. (2013). Obesity and incidence of lung cancer: a meta‐analysis. International journal of cancer, 132(5), 1162-1169. 51. Yen, I. H., & Syme, S. L. (1999). The social environment and health: a discussion of the epidemiologic literature. Annual review of public health, Vol. 20, No. 1, PP. 287-308. 52. Zhong, S., Ma, T., Chen, L., Chen, W., Lv, M., Zhang, X., & Zhao, J. (2016). Physical activity and risk of lung cancer: a meta-analysis. Clinical Journal of Sport Medicine, Vol. 26, No. 3, PP. 173-181. | ||
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