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The relationship between income inequality and obesity in all 47 prefectures of Japan: Ecological study

DOI: 10.4236/ojepi.2013.31001    3,055 Downloads   5,793 Views   Citations

ABSTRACT

The link between income inequality and obesity inJapanwas evaluated. Income inequality of all 47 prefectures of Japan as expressed by Gini coefficient was obtained from National Statistics Center, Japan. The rate of obesity (%) was also obtained from National NutritionSurvey,Japan. The effect of income inequality on obesity was evaluated by ecological study. Income inequality as expressed by Gini coefficient was 0.31 ± 0.01 and the rate of obesity was 31.6% ± 5.6%. Gini coefficient was significantly and positively correlated with the rate of obesity (r = 0.490, p = 0.0005). Income inequality was might be associated with the rate of obesity inJapan. 

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

Katayama, A. , Miyatake, N. , Oda, K. , Saito, T. , Murakami, S. and Sakano, N. (2013) The relationship between income inequality and obesity in all 47 prefectures of Japan: Ecological study. Open Journal of Epidemiology, 3, 1-3. doi: 10.4236/ojepi.2013.31001.

References

[1] Ministry of Health, Labor and Welfare, Japan (2011) The national nutrition survey, Japan. http://www.mhlw.go.jp/stf/houdou/2r9852000002q1st-att/2r9852000002q1wo.pdf
[2] Miyatake, N., Saito, T., Wada, J., Miyachi, M., Tabata, I., Matsumoto, S., Nishikawa, H., Makino, H. and Numata, T. (2007) Comparison of ventilatory threshold between subjects with and without metabolic syndrome. Diabetes Research and Clinical Practice, 77, 314-319. doi:10.1016/j.diabres.2006.11.008
[3] Endo, M., Nakanishi, Y. and Miyatake, N. (2011) The relation between insulin resistance and lifestyle in Japanese female university students. Acta Medica Okayama, 65, 199-204.
[4] Miyatake, N., Wada, J., Kawasaki, Y., Nishii, K., Makino, H. and Numata, T. (2006) Relationship between metabolic syndrome and cigarette smoking in the Japanese population. Internal Medicine, 45, 1039-1043. doi:10.2169/internalmedicine.45.1850
[5] National Statistics Center (2011) Income differentials in 47 prefectures of Japan. http://www.e-stat.go.jp/SG1/estat/List.do?bid=000001034909&cycode=0
[6] Chiavegatto Filho, A.D., Gotlieb, S.L. and Kawachi, I. (2012) Cause-specific mortality and income inequality in Sao Paulo, Brazil. Revista de Saude Publica, 46, 712-718.
[7] Ministry of Health, Labour and Welfare, Japan (2010) The national nutrition survey. http://www.mhlw.go.jp/bunya/kenkou/eiyou/dl/h22-houkoku-11.pdf
[8] Robert, S.A. and Reither, E.N. (2004) A multilevel analysis of race, community disadvantage, and body mass index among adults in the US. Social Science & Medicine, 59, 2421-2434. doi:10.1016/j.socscimed.2004.03.034
[9] Hayashino, Y., Yamazaki, S., Nakayama, T., Sokejima, S. and Fukuhara, S. (2010) The association between socio-economic status and prevalence of diabetes in rural Japan. Archieves of Environmental & Occupational Health, 65, 224-229. doi:10.1080/19338244.2010.486423
[10] Hasegawa, T. (2011) The relationship between the rate of obesity and socio-economic differentials in Japan. Journal of Health and Welfare Statistics, 58, 18-22.
[11] Ministry of Health, Labor and Welfare, Japan (2008) Changes in Gini coefficient of income in Japan. http://www.mhlw.go.jp/stf/houdou/2r9852000000nmrn-att/2r9852000000nmvb.pdf#search='%E5%A4%89%E5%8C%96+%E6%89%80%E5%BE%97+%E3%82%B8%E3%83%8B%E4%BF%82%E6%95%B0

  
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