Araştırma Makalesi
BibTex RIS Kaynak Göster

EVALUATION OF THE MEMBER COUNTRIES OF THE WORLD HEALTH ORGANISATION IN TERMS OF OBESITY AND SOCIO-ECONOMIC INDICATORS

Yıl 2024, Cilt: 15 Sayı: 30, 581 - 604, 30.12.2024
https://doi.org/10.36543/kauiibfd.2024.023

Öz

The prevalence of obesity is increasing in all countries. Obesity is associated with a number of health, social and economic indicators and is the main cause of some of them and there may be differences between countries in terms of these indicators according to obesity. This study aims to classify 164 World Health Organization (WHO) member countries into groups using panel clustering analysis based on indicators of obesity prevalence and daily calorie intake per capita, and to compare these groups using ANOVA analysis on health, social and economic indicators. The analysis results show that developing countries in South America, Eastern Europe and Central Asia are in cluster A; developed countries in Europe and North America are in cluster B; underdeveloped countries in Africa and Asia are in cluster C; and countries in East and South Asia are in cluster D. Despite having high obesity rates and daily calorie intake levels, cluster B, which includes developed countries, has better health, social and economic indicators compared to the other clusters.

Proje Numarası

Yoktur

Kaynakça

  • Agrawal, S., & Agrawal, P. K. (2016). Association between body mass index and prevalence of multimorbidity in low-and middle-income countries: a cross-sectional study. International Journal of Medicine and Public Health, 6(2), 1-22.
  • Akın, Y. K. (2022). Veri madenciliğinde kümeleme algoritmaları ve kümeleme analizi. Ankara: Gazi Kitabevi.
  • Amini, M., Zayeri, F., & Salehi, M. (2021). Trend analysis of cardiovascular disease mortality, incidence, and mortality-to-incidence ratio: Results from global burden of disease study 2017. BMC Public Health, 21, 1-12.
  • Aydın, M. (2019). The effect of economic growth on obesity for the most obese countries: New evidence from the obesity Kuznets Curve. The European Journal of Health Economics, 20(9), 1349-1358.
  • Balçık, P. Y., Demirci, Ş., & Konca, M. (2021). Comparison of European countries’ health indicators and health expenditures by clustering analysis. Ömer Halisdemir Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 14(2), 365-377.
  • Bansal, S., & Jin, Y. (2023). Heterogeneous effects of obesity on life expectancy: a global perspective. Annual Review of Resource Economics, 15(1), 433-554.
  • Barrera, E. L., & Shively, G. (2022). Excess calorie availability and adult BMI: a cohort analysis of patterns and trends for 156 countries from 1890 to 2015. Food Policy, 109, 1-10.
  • Birleşmiş Milletler Ticaret ve Kalkınma Konferansı. (2024). Total and urban population. 15 Mayıs 2024 tarihinde https://hbs.unctad.org/total-and-urban-population/ adresinden erişildi.
  • Bollapragada, M. K., Shantaram, M., & Kumar, R. S. (2017). Obesity: Development, epidemiology, factors affecting, quantity, health hazards, management and natural treatment-a review. International Journal of Pharmacy and Pharmaceutical Sciences, 9(2), 12-26.
  • Boutayeb A. (2010). The burden of communicable and non-communicable diseases in developing countries. Handbook of Disease Burdens and Quality of Life Measures, 531–546.
  • Camacho, S., & Ruppel, A. (2017). Is the calorie concept a real solution to the obesity epidemic?. Global Health Action, 10(1), 1-12.
  • Choi, B., Schnall, P. L., Yang, H., Dobson, M., Landsbergis, P., Israel, L., Karasek, R., & Baker, D. (2010). Sedentary work, low physical job demand, and obesity in US workers. American Journal of Industrial Medicine, 53(11), 1088-1101.
  • Costa-Font, J., & Mas, N. (2016). ‘Globesity’? The effects of globalization on obesity and caloric intake. Food Policy, 64, 121-132.
  • Denis, D. J. (2021). Applied univariate, bivariate, and multivariate statistics: Understanding statistics for social and natural scientists, with applications in SPSS and R. John Wiley & Sons.
  • Dünya Obezite Federasyonu. (2023). World obesity atlas 2023. World Obesity Federation. 11 Temmuz 2024 tarihinde https://s3-eu-west-1.amazonaws.com/wof-files/World_Obesity_Atlas_2023_Report.pdf adresinden erişildi.
  • Dünya Sağlık Örgütü. (2022). Global status report on physical activity 2022: Country profiles. World Health Organization.
  • Dünya Sağlık Örgütü. (2024a). Obesity and overweight. 21 Mayıs 2024 tarihinde https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight adresinden erişildi.
  • Dünya Sağlık Örgütü. (2024b). The challenge of obesity. 22 Mayıs 2024 tarihinde https://www.who.int/europe/news-room/fact-sheets/item/the-challenge-of-obesity adresinden erişildi.
  • Dünya Sağlık Örgütü. (2024c). Obesity. 24 Mayıs 2024 tarihinde https://www.who.int/health-topics/obesity#tab=tab_ adresinden erişildi.
  • Fox, A., Feng, W., & Asal, V. (2019). What is driving global obesity trends? Globalization or “modernization”?. Globalization and Health, 15, 1-16.
  • GBD 2015 Obesity Collaborators. (2017). Health effects of overweight and obesity in 195 countries over 25 years. New England journal of medicine, 377(1), 13-27.
  • Genolini, C., Alacoque, X., Sentenac, M., & Arnaud, C. (2015). Kml and kml3d: R packages to cluster longitudinal data. Journal of Statistical Software, 65, 1-34.
  • Genolini, C., Pingault, J. B., Driss, T., Côté, S., Tremblay, R. E., Vitaro, F., ... Falissard, B. (2013). KmL3D: a non-parametric algorithm for clustering joint trajectories. Computer Methods and Programs in Biomedicine, 109(1), 104-111.
  • Goryakin, Y., & Suhrcke, M. (2014). Economic development, urbanization, technological change and overweight: what do we learn from 244 Demographic and Health Surveys?. Economics & Human Biology, 14, 109-127.
  • Graf, S., & Cecchini, M. (2017). Diet, physical activity and sedentary behaviours: Analysis of trends, inequalities and clustering in selected OECD countries. Paris: OECD Health Working Papers.
  • Grecu, A. M., & Rotthoff, K. W. (2015). Economic growth and obesity: Findings of an obesity Kuznets Curve. Applied Economics Letters, 22(7), 539-543.
  • Guthold, R., Stevens, G. A., Riley, L. M., & Bull, F. C. (2018). Worldwide trends in insufficient physical activity from 2001 to 2016: A pooled analysis of 358 population-based surveys with 1· 9 million participants. The Lancet Global Health, 6(10), 1077-1086.
  • Halıcıoğlu, F. (2013). Dynamics of obesity in Finland. Journal of Economic Studies, 40(5), 644-657.
  • Helble, M., & Sato, A. (2018). Wealthy but unhealthy: Overweight and obesity in Asia and the Pacific: Trends, costs, and policies for better health. Manila: Asian Development Bank Institute.
  • Hu, F. B. (2008). Globalization of food patterns and cardiovascular disease risk. Circulation, 118(19), 1913-1914. Ikeda, N., Saito, E., Kondo, N., Inoue, M., Ikeda, S., Satoh, T., ... Shibuya, K. (2011). What has made the population of Japan healthy?. Lancet (London, England), 378(9796), 1094-1105.
  • Jaacks, L. M., Vandevijvere, S., Pan, A., McGowan, C. J., Wallace, C., Imamura, F., ... Ezzati, M. (2019). The obesity transition: stages of the global epidemic. The Lancet Diabetes & Endocrinology, 7(3), 231-240.
  • Liakh, I., Sledzinski, T., Kaska, L., Mozolewska, P., & Mika, A. (2020). Sample preparation methods for lipidomics approaches used in studies of obesity. Molecules (Basel, Switzerland), 25(22), 5307.
  • Lin, X., Xu, Y., Xu, J., Pan, X., Song, X., Shan, L., ... & Shan, P. F. (2020). Global burden of noncommunicable disease attributable to high body mass index in 195 countries and territories, 1990–2017. Endocrine, 69, 310-320.
  • Mackay, J. M., Dorotheo, E. U., Assunta, M., & Ritthiphakdee, B. (2022). Tobacco control in Asia-Pacific: Wins, challenges and targets. Tobacco control, 31(2), 146–149.
  • McKinsey Global Institute. (2024). A better life everyone can afford: Lifting a quarter billion people to economic empowerment. McKinsey & Company. 20 Mayıs 2024 tarihinde https://www.mckinsey.com/mgi/our-research/a-better-life-everyone-can-afford-lifting-a-quarter-billion-people-to-economic-empowerment#/ adresinden erişildi.
  • McLaren, L. (2007). Socioeconomic status and obesity. Epidemiologic Reviews, 29(1), 29-48.
  • Miller, G. J., Brandler, S., Roman, C. P., & Yang, K. (2007). Handbook of research methods in public administration. CRC press.
  • Okunogbe, A., Nugent, R., Spencer, G., Powis, J., Ralston, J., & Wilding, J. (2022). Economic impacts of overweight and obesity: Current and future estimates for 161 countries. BMJ Global Health, 7(9), 1-17.
  • Purnell, J. Q. (2023). Definitions, Classification, and Epidemiology of Obesity. 20 Mayıs 2024 tarihinde https://www.ncbi.nlm.nih.gov/books/NBK279167/ adresinden erişildi.
  • Qiu, G., Liu, X., Amiranti, A. Y., Yasini, M., Wu, T., Amer, S., & Jia, P. (2020). Geographic clustering and region-specific determinants of obesity in the Netherlands. Geospatial Health, 15(1), 131-139.
  • Ralston, J., Cooper, K., & Powis, J. (2021). Obesity, SDGs and ROOTS: A framework for impact. Current Obesity Reports, 10, 54-60.
  • Ramachandran, A., Chamukuttan, S., Shetty, S. A., Arun, N., & Susairaj, P. (2012). Obesity in Asia–is it different from rest of the world. Diabetes/Metabolism Research and Reviews, 28, 47-51.
  • Sağlık Bakanlığı Halk Sağlığı Genel Müdürlüğü. (2023). Obezite. 21 Mayıs 2024 tarihinde https://hsgm.saglik.gov.tr/tr/obezite adresinden erişildi.
  • Şahin, B., & İlgün, G. (2022). Risk factors of deaths related to cardiovascular diseases in World Health Organization (WHO) member countries. Health & Social Care in the Community, 30(1), 73-80.
  • T.C. Sağlık Bakanlığı. (2021). Türkiye kalp ve damar hastalıkları önleme ve kontrol programı (2021-2026). Ankara: T.C. Sağlık Bakanlığı Halk Sağlığı Genel Müdürlüğü.
  • Talukdar, D., Seenivasan, S., Cameron, A. J., & Sacks, G. (2020). The association between national income and adult obesity prevalence: Empirical insights into temporal patterns and moderators of the association using 40 years of data across 147 countries. PloS One, 15(5), 1-17.
  • Taşlı, H., & Sağır, S. (2021). Obezitenin belirlenmesinde kullanılan beden kitle indeksi, bel çevresi, bel-kalça oranı metotlarının karşılaştırılması. Ahi Evran Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 7(1), 138-150.
  • Teleş, M., Çakmak, C., & Konca, M. (2018). Avrupa Birliği döngüsündeki ülkelerin sağlık sistemleri performanslarının karşılaştırılması. Yönetim ve Ekonomi Dergisi, 25(3), 811-835.
  • The SEI-Milieu Consortium. (2015). Global Megatrend 3: Disease burdens and the risk of new pandemics. European Environment Agency. 21 Mayıs 2024 tarihinde https://www.eea.europa.eu/publications/global-megatrends-update-3/background-report-gmt3-disease-burdens/@@download/file/GMT3%20Health%20-%20background%20report%20to%20GMT%203.pdf adresinden erişildi.
  • Thomas-Lange, J., & Urra-Miguieles, D. (2024). Non-communicable diseases mortality rate and prevalence of high BMI by income and income inequality across countries: Associations and methodological considerations, an ecological analysis. Population Medicine, 6(March), 1-9.
  • Uluslararası Çalışma Örgütü. (2004). A fair globalization: Creating opportunities for all. Cenevre: International Labour Organization.
  • Vidra, N., Trias-Llimós, S., & Janssen, F. (2019). Impact of obesity on life expectancy among different European countries: secondary analysis of population-level data over the 1975–2012 period. BMJ Open, 9(7), 1-8.
  • Yılmaz Işıkhan, S., & Güleç, D. (2018). The clustering of world countries regarding causes of death and health risk factors. Iranian Journal of Public Health, 47(10), 1520-1528.

DÜNYA SAĞLIK ÖRGÜTÜ’NE ÜYE ÜLKELERİN OBEZİTE VE SOSYO-EKONOMİK GÖSTERGELER AÇISINDAN DEĞERLENDİRİLMESİ

Yıl 2024, Cilt: 15 Sayı: 30, 581 - 604, 30.12.2024
https://doi.org/10.36543/kauiibfd.2024.023

Öz

Tüm ülkelerde obezite prevalansı artmaktadır. Obezite bir takım sağlık, sosyal ve ekonomik gösterge ile ilişkili olup bazılarının da temel nedenidir ve obeziteye göre ülkeler arasında söz konusu göstergeler açısından farklılıklar bulunabilmektedir. Bu çalışmada, Dünya Sağlık Örgütü’ne (DSÖ) üye 164 ülkenin obezite prevalansı ve kişi başına günlük kalori tüketimi göstergelerinden faydalanarak panel kümeleme analizi ile homojen gruplara ayırılması ve ANOVA analizi ile kümelerin sağlık, sosyal ve ekonomik göstergelere göre karşılaştırılması amaçlanmaktadır. Analiz sonucunda, gelişmekte olan Güney Amerika, Doğu Avrupa ve Orta Asya ülkeleri A kümesinde; gelişmiş Avrupa ve Kuzey Amerika ülkeleri B kümesinde; az gelişmiş Afrika ve Asya ülkeleri C kümesinde; Doğu ve Güney Asya ülkeleri ise D kümesinde yer almıştır. Gelişmiş ülkelerin yer aldığı B kümesi, yüksek obezite ve günlük tüketilen kalori değerlerine sahip olmasına rağmen diğer kümelere kıyasla daha iyi sağlık, sosyal ve ekonomik göstergelere sahip olduğu belirlenmiştir.

Etik Beyan

Bu çalışma etik kurul izni gerektirmemektedir.

Destekleyen Kurum

Yoktur

Proje Numarası

Yoktur

Teşekkür

Yoktur

Kaynakça

  • Agrawal, S., & Agrawal, P. K. (2016). Association between body mass index and prevalence of multimorbidity in low-and middle-income countries: a cross-sectional study. International Journal of Medicine and Public Health, 6(2), 1-22.
  • Akın, Y. K. (2022). Veri madenciliğinde kümeleme algoritmaları ve kümeleme analizi. Ankara: Gazi Kitabevi.
  • Amini, M., Zayeri, F., & Salehi, M. (2021). Trend analysis of cardiovascular disease mortality, incidence, and mortality-to-incidence ratio: Results from global burden of disease study 2017. BMC Public Health, 21, 1-12.
  • Aydın, M. (2019). The effect of economic growth on obesity for the most obese countries: New evidence from the obesity Kuznets Curve. The European Journal of Health Economics, 20(9), 1349-1358.
  • Balçık, P. Y., Demirci, Ş., & Konca, M. (2021). Comparison of European countries’ health indicators and health expenditures by clustering analysis. Ömer Halisdemir Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 14(2), 365-377.
  • Bansal, S., & Jin, Y. (2023). Heterogeneous effects of obesity on life expectancy: a global perspective. Annual Review of Resource Economics, 15(1), 433-554.
  • Barrera, E. L., & Shively, G. (2022). Excess calorie availability and adult BMI: a cohort analysis of patterns and trends for 156 countries from 1890 to 2015. Food Policy, 109, 1-10.
  • Birleşmiş Milletler Ticaret ve Kalkınma Konferansı. (2024). Total and urban population. 15 Mayıs 2024 tarihinde https://hbs.unctad.org/total-and-urban-population/ adresinden erişildi.
  • Bollapragada, M. K., Shantaram, M., & Kumar, R. S. (2017). Obesity: Development, epidemiology, factors affecting, quantity, health hazards, management and natural treatment-a review. International Journal of Pharmacy and Pharmaceutical Sciences, 9(2), 12-26.
  • Boutayeb A. (2010). The burden of communicable and non-communicable diseases in developing countries. Handbook of Disease Burdens and Quality of Life Measures, 531–546.
  • Camacho, S., & Ruppel, A. (2017). Is the calorie concept a real solution to the obesity epidemic?. Global Health Action, 10(1), 1-12.
  • Choi, B., Schnall, P. L., Yang, H., Dobson, M., Landsbergis, P., Israel, L., Karasek, R., & Baker, D. (2010). Sedentary work, low physical job demand, and obesity in US workers. American Journal of Industrial Medicine, 53(11), 1088-1101.
  • Costa-Font, J., & Mas, N. (2016). ‘Globesity’? The effects of globalization on obesity and caloric intake. Food Policy, 64, 121-132.
  • Denis, D. J. (2021). Applied univariate, bivariate, and multivariate statistics: Understanding statistics for social and natural scientists, with applications in SPSS and R. John Wiley & Sons.
  • Dünya Obezite Federasyonu. (2023). World obesity atlas 2023. World Obesity Federation. 11 Temmuz 2024 tarihinde https://s3-eu-west-1.amazonaws.com/wof-files/World_Obesity_Atlas_2023_Report.pdf adresinden erişildi.
  • Dünya Sağlık Örgütü. (2022). Global status report on physical activity 2022: Country profiles. World Health Organization.
  • Dünya Sağlık Örgütü. (2024a). Obesity and overweight. 21 Mayıs 2024 tarihinde https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight adresinden erişildi.
  • Dünya Sağlık Örgütü. (2024b). The challenge of obesity. 22 Mayıs 2024 tarihinde https://www.who.int/europe/news-room/fact-sheets/item/the-challenge-of-obesity adresinden erişildi.
  • Dünya Sağlık Örgütü. (2024c). Obesity. 24 Mayıs 2024 tarihinde https://www.who.int/health-topics/obesity#tab=tab_ adresinden erişildi.
  • Fox, A., Feng, W., & Asal, V. (2019). What is driving global obesity trends? Globalization or “modernization”?. Globalization and Health, 15, 1-16.
  • GBD 2015 Obesity Collaborators. (2017). Health effects of overweight and obesity in 195 countries over 25 years. New England journal of medicine, 377(1), 13-27.
  • Genolini, C., Alacoque, X., Sentenac, M., & Arnaud, C. (2015). Kml and kml3d: R packages to cluster longitudinal data. Journal of Statistical Software, 65, 1-34.
  • Genolini, C., Pingault, J. B., Driss, T., Côté, S., Tremblay, R. E., Vitaro, F., ... Falissard, B. (2013). KmL3D: a non-parametric algorithm for clustering joint trajectories. Computer Methods and Programs in Biomedicine, 109(1), 104-111.
  • Goryakin, Y., & Suhrcke, M. (2014). Economic development, urbanization, technological change and overweight: what do we learn from 244 Demographic and Health Surveys?. Economics & Human Biology, 14, 109-127.
  • Graf, S., & Cecchini, M. (2017). Diet, physical activity and sedentary behaviours: Analysis of trends, inequalities and clustering in selected OECD countries. Paris: OECD Health Working Papers.
  • Grecu, A. M., & Rotthoff, K. W. (2015). Economic growth and obesity: Findings of an obesity Kuznets Curve. Applied Economics Letters, 22(7), 539-543.
  • Guthold, R., Stevens, G. A., Riley, L. M., & Bull, F. C. (2018). Worldwide trends in insufficient physical activity from 2001 to 2016: A pooled analysis of 358 population-based surveys with 1· 9 million participants. The Lancet Global Health, 6(10), 1077-1086.
  • Halıcıoğlu, F. (2013). Dynamics of obesity in Finland. Journal of Economic Studies, 40(5), 644-657.
  • Helble, M., & Sato, A. (2018). Wealthy but unhealthy: Overweight and obesity in Asia and the Pacific: Trends, costs, and policies for better health. Manila: Asian Development Bank Institute.
  • Hu, F. B. (2008). Globalization of food patterns and cardiovascular disease risk. Circulation, 118(19), 1913-1914. Ikeda, N., Saito, E., Kondo, N., Inoue, M., Ikeda, S., Satoh, T., ... Shibuya, K. (2011). What has made the population of Japan healthy?. Lancet (London, England), 378(9796), 1094-1105.
  • Jaacks, L. M., Vandevijvere, S., Pan, A., McGowan, C. J., Wallace, C., Imamura, F., ... Ezzati, M. (2019). The obesity transition: stages of the global epidemic. The Lancet Diabetes & Endocrinology, 7(3), 231-240.
  • Liakh, I., Sledzinski, T., Kaska, L., Mozolewska, P., & Mika, A. (2020). Sample preparation methods for lipidomics approaches used in studies of obesity. Molecules (Basel, Switzerland), 25(22), 5307.
  • Lin, X., Xu, Y., Xu, J., Pan, X., Song, X., Shan, L., ... & Shan, P. F. (2020). Global burden of noncommunicable disease attributable to high body mass index in 195 countries and territories, 1990–2017. Endocrine, 69, 310-320.
  • Mackay, J. M., Dorotheo, E. U., Assunta, M., & Ritthiphakdee, B. (2022). Tobacco control in Asia-Pacific: Wins, challenges and targets. Tobacco control, 31(2), 146–149.
  • McKinsey Global Institute. (2024). A better life everyone can afford: Lifting a quarter billion people to economic empowerment. McKinsey & Company. 20 Mayıs 2024 tarihinde https://www.mckinsey.com/mgi/our-research/a-better-life-everyone-can-afford-lifting-a-quarter-billion-people-to-economic-empowerment#/ adresinden erişildi.
  • McLaren, L. (2007). Socioeconomic status and obesity. Epidemiologic Reviews, 29(1), 29-48.
  • Miller, G. J., Brandler, S., Roman, C. P., & Yang, K. (2007). Handbook of research methods in public administration. CRC press.
  • Okunogbe, A., Nugent, R., Spencer, G., Powis, J., Ralston, J., & Wilding, J. (2022). Economic impacts of overweight and obesity: Current and future estimates for 161 countries. BMJ Global Health, 7(9), 1-17.
  • Purnell, J. Q. (2023). Definitions, Classification, and Epidemiology of Obesity. 20 Mayıs 2024 tarihinde https://www.ncbi.nlm.nih.gov/books/NBK279167/ adresinden erişildi.
  • Qiu, G., Liu, X., Amiranti, A. Y., Yasini, M., Wu, T., Amer, S., & Jia, P. (2020). Geographic clustering and region-specific determinants of obesity in the Netherlands. Geospatial Health, 15(1), 131-139.
  • Ralston, J., Cooper, K., & Powis, J. (2021). Obesity, SDGs and ROOTS: A framework for impact. Current Obesity Reports, 10, 54-60.
  • Ramachandran, A., Chamukuttan, S., Shetty, S. A., Arun, N., & Susairaj, P. (2012). Obesity in Asia–is it different from rest of the world. Diabetes/Metabolism Research and Reviews, 28, 47-51.
  • Sağlık Bakanlığı Halk Sağlığı Genel Müdürlüğü. (2023). Obezite. 21 Mayıs 2024 tarihinde https://hsgm.saglik.gov.tr/tr/obezite adresinden erişildi.
  • Şahin, B., & İlgün, G. (2022). Risk factors of deaths related to cardiovascular diseases in World Health Organization (WHO) member countries. Health & Social Care in the Community, 30(1), 73-80.
  • T.C. Sağlık Bakanlığı. (2021). Türkiye kalp ve damar hastalıkları önleme ve kontrol programı (2021-2026). Ankara: T.C. Sağlık Bakanlığı Halk Sağlığı Genel Müdürlüğü.
  • Talukdar, D., Seenivasan, S., Cameron, A. J., & Sacks, G. (2020). The association between national income and adult obesity prevalence: Empirical insights into temporal patterns and moderators of the association using 40 years of data across 147 countries. PloS One, 15(5), 1-17.
  • Taşlı, H., & Sağır, S. (2021). Obezitenin belirlenmesinde kullanılan beden kitle indeksi, bel çevresi, bel-kalça oranı metotlarının karşılaştırılması. Ahi Evran Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 7(1), 138-150.
  • Teleş, M., Çakmak, C., & Konca, M. (2018). Avrupa Birliği döngüsündeki ülkelerin sağlık sistemleri performanslarının karşılaştırılması. Yönetim ve Ekonomi Dergisi, 25(3), 811-835.
  • The SEI-Milieu Consortium. (2015). Global Megatrend 3: Disease burdens and the risk of new pandemics. European Environment Agency. 21 Mayıs 2024 tarihinde https://www.eea.europa.eu/publications/global-megatrends-update-3/background-report-gmt3-disease-burdens/@@download/file/GMT3%20Health%20-%20background%20report%20to%20GMT%203.pdf adresinden erişildi.
  • Thomas-Lange, J., & Urra-Miguieles, D. (2024). Non-communicable diseases mortality rate and prevalence of high BMI by income and income inequality across countries: Associations and methodological considerations, an ecological analysis. Population Medicine, 6(March), 1-9.
  • Uluslararası Çalışma Örgütü. (2004). A fair globalization: Creating opportunities for all. Cenevre: International Labour Organization.
  • Vidra, N., Trias-Llimós, S., & Janssen, F. (2019). Impact of obesity on life expectancy among different European countries: secondary analysis of population-level data over the 1975–2012 period. BMJ Open, 9(7), 1-8.
  • Yılmaz Işıkhan, S., & Güleç, D. (2018). The clustering of world countries regarding causes of death and health risk factors. Iranian Journal of Public Health, 47(10), 1520-1528.
Toplam 53 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Davranışsal İktisat, Sağlık Ekonomisi
Bölüm Makaleler
Yazarlar

Şenol Demirci 0000-0001-8552-8151

Proje Numarası Yoktur
Yayımlanma Tarihi 30 Aralık 2024
Gönderilme Tarihi 11 Temmuz 2024
Kabul Tarihi 21 Ekim 2024
Yayımlandığı Sayı Yıl 2024 Cilt: 15 Sayı: 30

Kaynak Göster

APA Demirci, Ş. (2024). DÜNYA SAĞLIK ÖRGÜTÜ’NE ÜYE ÜLKELERİN OBEZİTE VE SOSYO-EKONOMİK GÖSTERGELER AÇISINDAN DEĞERLENDİRİLMESİ. Kafkas Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi, 15(30), 581-604. https://doi.org/10.36543/kauiibfd.2024.023

KAÜİİBFD, Kafkas Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergi Yayıncılığı'nın kurumsal dergisidir.

KAÜİİBFD 2022 yılından itibaren Web of Science'a dahil edilerek, Clarivate ürünü olan Emerging Sources Citation Index (ESCI) uluslararası alan endeksinde taranmaya başlamıştır. 

2025 Haziran ve Aralık sayısı İşletme alanı kotası dolmuştur. Bir sonraki duyuruya kadar İşletme alanındaki gönderiler değerlendirmeye alınmayacaktır. Dergimizin kapsamındaki diğer alanların makale kabul ve değerlendirmeleri devam etmektedir.