Open Access
Issue
E3S Web Conf.
Volume 233, 2021
2020 2nd International Academic Exchange Conference on Science and Technology Innovation (IAECST 2020)
Article Number 02018
Number of page(s) 7
Section BFS2020-Biotechnology and Food Science
DOI https://doi.org/10.1051/e3sconf/202123302018
Published online 27 January 2021
  1. Danaei, G., Finucane, M. M., Lu, Y., Singh, G. M., Cowan, M. J., Paciorek, C. J., … Ezzati, M. (2011). National, regional, and global trends in fasting plasma glucose and diabetes prevalence since 1980: systematic analysis of health examination surveys and epidemiological studies with 370 country-years and 2ꞏ7 million participants. The Lancet, 378(9785), 31-40. doi:10.1016/s0140-6736(11)60679-x [CrossRef] [Google Scholar]
  2. The World Health Organization. (2020, December 3). WHO. https://www.who.int/ [Google Scholar]
  3. International Diabetes Federation. (2019). IDF Diabetes Atlas Ninth edition 2019. https://diabetesatlas.org/upload/resources/material/20200302_133351_IDFATLAS9e-final-web.pdf [Google Scholar]
  4. Xu, Y., Wang, L., He, J., Bi, Y., Li, M., Wang, T., … China Noncommunicable Disease Surveillance, G. (2013). Prevalence and control of diabetes in Chinese adults. JAMA, 310(9), 948-959. doi:10.1001/jama.2013.168118 [CrossRef] [PubMed] [Google Scholar]
  5. Centers for Disease Control and Prevention. (2020, December 4). CDC. https://www.cdc.gov/ [Google Scholar]
  6. Navarro, G., Allard, C., Xu, W., & Mauvais-Jarvis, F. (2015). The role of androgens in metabolism, obesity, and diabetes in males and females. Obesity, 23(4), 713-719. doi:http://dx.doi.org.proxygw.wrlc.org/10.1002/oby.21033 [CrossRef] [Google Scholar]
  7. Bluestone, J. A., Herold, K., & Eisenbarth, G. (2010). Genetics, pathogenesis and clinical interventions in type 1 diabetes. Nature, 464(7293), 1293-1300. doi:10.1038/nature08933 [PubMed] [Google Scholar]
  8. Pickup, J. C. (2012). Insulin-Pump Therapy for Type 1 Diabetes Mellitus. New England Journal of Medicine, 366(17), 1616-1624. doi:10.1056/NEJMct1113948 [CrossRef] [Google Scholar]
  9. Hamman, R. F., Wing, R. R., Edelstein, S. L., Lachin, J. M., Bray, G. A., Delahanty, L., … Wylie-Rosett, J. (2006). Effect of weight loss with lifestyle intervention on risk of diabetes. Diabetes Care, 29(9), 2102-2107. doi:10.2337/dc06-0560 [CrossRef] [PubMed] [Google Scholar]
  10. Lee, J. W., Brancati, F. L., & Yeh, H. C. (2011). Trends in the prevalence of type 2 diabetes in Asians versus whites: results from the United States National Health Interview Survey, 1997-2008. Diabetes Care, 34(2), 353-357. doi:10.2337/dc10-0746 [CrossRef] [PubMed] [Google Scholar]
  11. Park, Yong-Woo, et al. “Larger Amounts of Visceral Adipose Tissue in Asian Americans.” Obesity Research, vol. 9, no. 7, 2001, pp. 381–387., doi:10.1038/oby.2001.49. [CrossRef] [PubMed] [Google Scholar]
  12. Onkamo, P., Väänänen, S., Karvonen, M., & Tuomilehto, J. (1999). Worldwide increase in incidence of Type I diabetes–the analysis of the data on published incidence trends. Diabetologia, 42(12), 1395-1403. [CrossRef] [PubMed] [Google Scholar]
  13. Weng, J., Zhou, Z., Guo, L., Zhu, D., Ji, L., Luo, X., … Group, T. D. C. S. (2018). Incidence of type 1 diabetes in China, 2010-13: population based study. BMJ, 360, j5295. doi:10.1136/bmj.j5295 [Google Scholar]
  14. Bullard KM, Cowie CC, Lessem SE, et al. Prevalence of Diagnosed Diabetes in Adults by Diabetes Type — United States, 2016. MMWR Morb Mortal Wkly Rep 2018;67:359–361. DOI: http://dx.doi.org/10.15585/mmwr.mm6712a2external icon [CrossRef] [PubMed] [Google Scholar]
  15. Steck, A. K., & Rewers, M. J. (2011). Genetics of type 1 diabetes. Clin Chem, 57(2), 176-185. doi:10.1373/clinchem.2010.148221 [CrossRef] [PubMed] [Google Scholar]
  16. Atkinson, M. A., & Maclaren, N. K. (1994). The pathogenesis of insulin-dependent diabetes mellitus. New England Journal of Medicine, 331(21), 1428-1436. [CrossRef] [Google Scholar]
  17. Karvonen, M., Tuomilehto, J., Libman, I., & LaPorte, R. (1993). A review of the recent epidemiological data on the worldwide incidence of type 1 (insulin-dependent) diabetes mellitus. Diabetologia, 36(10), 883-892. [CrossRef] [PubMed] [Google Scholar]
  18. Hu, F. B. “Globalization of Diabetes: The Role of Diet, Lifestyle, and Genes.” Diabetes Care, vol. 34, no. 6, 2011, pp. 1249–1257., doi:10.2337/dc11-0442. [CrossRef] [PubMed] [Google Scholar]
  19. Neve, B., Fernandez-Zapico, M. E., Ashkenazi-Katalan, V., Dina, C., Hamid, Y. H., Joly, E., … Froguel, P. (2005). Role of transcription factor KLF11 and its diabetes-associated gene variants in pancreatic beta cell function. Proc Natl Acad Sci U S A, 102(13), 4807-4812. doi:10.1073/pnas.0409177102 [CrossRef] [PubMed] [Google Scholar]
  20. Hossain, P., Kawar, B., & El Nahas, M. (2007). Obesity and diabetes in the developing world—a growing challenge. New England Journal of Medicine, 356(3), 213-215. [CrossRef] [PubMed] [Google Scholar]
  21. Knowler, W. C., Pettitt, D. J., Saad, M. F., & Bennett, P. H. (1990). DIABETES-MELLITUS IN THE PIMA-INDIANS - INCIDENCE, RISK-FACTORS AND PATHOGENESIS. Diabetes-Metabolism Reviews, 6(1), 1-27. doi:10.1002/dmr.5610060101 [CrossRef] [Google Scholar]
  22. Silventoinen, K., Rokholm, B., Kaprio, J., & Sorensen, T. I. (2010). The genetic and environmental influences on childhood obesity: a systematic review of twin and adoption studies. Int J Obes (Lond), 34(1), 29-40. doi:10.1038/ijo.2009.177 [CrossRef] [PubMed] [Google Scholar]
  23. Muntner, P., Gu, D., Wildman, R. P., Chen, J., Qan, W., Whelton, P. K., & He, J. (2005). Prevalence of physical activity among Chinese adults: results from the International Collaborative Study of Cardiovascular Disease in Asia. American journal of public health, 95(9), 1631-1636. [CrossRef] [PubMed] [Google Scholar]
  24. Yamaguchi, S., & Yoshino, J. (2017). Adipose tissue NAD(+) biology in obesity and insulin resistance: From mechanism to therapy. Bioessays, 39(5). doi:10.1002/bies.201600227 [Google Scholar]
  25. Ford, E. S., et al. “Weight Change and Diabetes Incidence: Findings from a National Cohort of US Adults.” American Journal of Epidemiology, vol. 146, no. 3, 1997, pp. 214–222., doi:10.1093/oxfordjournals.aje.a009256. [CrossRef] [PubMed] [Google Scholar]
  26. Zhang, L., Wang, Z., Wang, X., Chen, Z., Shao, L., Tian, Y., … China Hypertension Survey, i. (2020). Prevalence of overweight and obesity in China: Results from a cross-sectional study of 441 thousand adults, 2012-2015. Obes Res Clin Pract, 14(2), 119-126. doi:10.1016/j.orcp.2020.02.005 [CrossRef] [PubMed] [Google Scholar]
  27. Flegal, K. M., Kruszon-Moran, D., Carroll, M. D., Fryar, C. D., & Ogden, C. L.(2016). Trends in Obesity Among Adults in the United States, 2005 to 2014. JAMA, 315(21), 2284-2291. doi:10.1001/jama.2016.6458 [CrossRef] [PubMed] [Google Scholar]
  28. Allison, David B. “Annual Deaths Attributable to Obesity in the United States.” Jama, vol. 282, no. 16, 1999, p. 1530., doi:10.1001/jama.282.16.1530. [CrossRef] [PubMed] [Google Scholar]
  29. Rosenthal, R. J., Morton, J., Brethauer, S., Mattar, S., De Maria, E., Benz, J. K., … Sterrett, D. (2017). Obesity in America. Surg Obes Relat Dis, 13(10), 1643-1650. doi:10.1016/j.soard.2017.08.002 [Google Scholar]
  30. Henry, C. J., Kaur, B., & Quek, R. Y. C. (2020). Are Asian foods as “fattening” as western-styled fast foods? European journal of clinical nutrition, 74(2), 348-350. [CrossRef] [PubMed] [Google Scholar]
  31. Portune, K. J., Benítez‐Páez, A., Del Pulgar, E. M. G., Cerrudo, V., & Sanz, Y. (2017). Gut microbiota, diet, and obesity‐related disorders—The good, the bad, and the future challenges. Molecular nutrition & food research, 61(1), 1600252. [Google Scholar]
  32. Haghikia, A., Jörg, S., Duscha, A., Berg, J., Manzel, A., Waschbisch, A., … Wilck, N. (2015). Dietary fatty acids directly impact central nervous system autoimmunity via the small intestine. Immunity, 43(4), 817-829. [CrossRef] [PubMed] [Google Scholar]
  33. Turnbaugh, P. J., Bäckhed, F., Fulton, L., & Gordon, J. I. (2008). Diet-induced obesity is linked to marked but reversible alterations in the mouse distal gut microbiome. Cell host & microbe, 3(4), 213-223. [CrossRef] [PubMed] [Google Scholar]
  34. Popkin, B. M. (1999). Urbanization, Lifestyle Changes and the Nutrition Transition. World Development, 27(11), 1905–1916. https://doi.org/10.1016/s0305-750x(99)00094-7 [Google Scholar]
  35. Du, S., Mroz, T. A., Zhai, F., & Popkin, B. M. (2004). Rapid income growth adversely affects diet quality in China--particularly for the poor! Soc Sci Med, 59(7), 1505-1515. doi:10.1016/j.socscimed.2004.01.021 [Google Scholar]
  36. Du, S., Lu, B., Zhai, F., & Popkin, B. M. (2002). A new stage of the nutrition transition in China. Public Health Nutr, 5(1A), 169-174. doi:10.1079/PHN2001290 [CrossRef] [PubMed] [Google Scholar]
  37. Levine, James A. “Poverty and Obesity in the U.S.: FIG. 1.” Diabetes, vol. 60, no. 11, 2011, pp. 2667–2668., doi:10.2337/db11-1118. [CrossRef] [PubMed] [Google Scholar]
  38. De Vogli, R., Kouvonen, A., & Gimeno, D. (2014). The influence of market deregulation on fast food consumption and body mass index: a cross-national time series analysis. Bull World Health Organ, 92(2), 99-107, 107A. doi:10.2471/BLT.13.120287 [CrossRef] [PubMed] [Google Scholar]
  39. Bermudez, O. I., & Gao, X. (2010). Greater consumption of sweetened beverages and added sugars is associated with obesity among US young adults. Ann Nutr Metab, 57(3-4), 211-218. doi:10.1159/000321542 [CrossRef] [PubMed] [Google Scholar]
  40. USDA ERS - Food Availability and Consumption. (2020). United States Department of Agriculture. https://www.ers.usda.gov/data-products/ag-and-food-statistics-charting-the-essentials/food-availability-and-consumption/ [Google Scholar]
  41. Clarke, S. F., Murphy, E. F., O’Sullivan, O., Lucey, A. J., Humphreys, M., Hogan, A., … Cotter, P. D. (2014). Exercise and associated dietary extremes impact on gut microbial diversity. Gut, 63(12), 1913-1920. doi:10.1136/gutjnl-2013-306541 [CrossRef] [PubMed] [Google Scholar]
  42. Sun, X., & Zhu, M. J. (2017). AMP-activated protein kinase: a therapeutic target in intestinal diseases. Open Biol, 7(8). doi:10.1098/rsob.170104 [Google Scholar]
  43. Bell, Ac, et al. “Weight Gain and Its Predictors in Chinese Adults.” International Journal of Obesity, vol. 25, no. 7, 2001, pp. 1079–1086., doi:10.1038/sj.ijo.0801651. [CrossRef] [PubMed] [Google Scholar]
  44. Ng, S. W., Norton, E. C., & Popkin, B. M. (2009). Why have physical activity levels declined among Chinese adults? Findings from the 1991–2006 China Health and Nutrition Surveys. Social science & medicine, 68(7), 1305-1314. [Google Scholar]
  45. Bell, A. Colin, et al. “The Road to Obesity or the Path to Prevention: Motorized Transportation and Obesity in China.” Obesity Research, vol. 10, no. 4, 2002, pp. 277–283., doi:10.1038/oby.2002.38. [CrossRef] [PubMed] [Google Scholar]
  46. Popkin, Barry M., et al. “Trends in Diet, Nutritional Status, and Diet-Related Noncommunicable Diseases in China and India: The Economic Costs of the Nutrition Transition.” Nutrition Reviews, vol. 59, no. 12, 2009, pp. 379–390., doi:10.1111/j.1753-4887.2001.tb06967.x. [Google Scholar]
  47. Attard, S. M., Herring, A. H., Mayer-Davis, E. J., Popkin, B. M., Meigs, J. B., & Gordon-Larsen, P. (2012). Multilevel examination of diabetes in modernising China: what elements of urbanization are most associated with diabetes? Diabetologia, 55(12), 3182-3192. doi:10.1007/s00125-012-2697-8\ [CrossRef] [PubMed] [Google Scholar]
  48. Tudor-Locke, C., Brashear, M. M., Johnson, W. D., & Katzmarzyk, P. T. (2010). Accelerometer profiles of physical activity and inactivity in normal weight, overweight, and obese U.S. men and women. Int J Behav Nutr Phys Act, 7, 60. doi:10.1186/1479-5868-7-60 [Google Scholar]
  49. Hu, J., Ding, N., Yang, L., Ma, Y., Gao, M., & Wen, D. (2019). Association between television viewing and early childhood overweight and obesity: a pair-matched case-control study in China. BMC Pediatr, 19(1), 184. doi:10.1186/s12887-019-1557-9 [Google Scholar]
  50. Lakerveld, J., Dunstan, D., Bot, S., Salmon, J., Dekker, J., Nijpels, G., & Owen, N. (2011). Abdominal obesity, TV-viewing time and prospective declines in physical activity. Prev Med, 53(4-5), 299-302. doi:10.1016/j.ypmed.2011.07.012 [CrossRef] [PubMed] [Google Scholar]
  51. Sherar, L. B., Griffin, T. P., Ekelund, U., Cooper, A. R., Esliger, D. W., van Sluijs, E. M., … Page, A. S. (2016). Association between maternal education and objectively measured physical activity and sedentary time in adolescents. J Epidemiol Community Health, 70(6), 541-548. doi:10.1136/jech-2015-205763 [CrossRef] [PubMed] [Google Scholar]
  52. Merrill, Ray M., et al. “Climate Conditions and Physical Activity in the United States.” American Journal of Health Behavior, vol. 29, no. 4, 2005, pp. 371–381., doi:10.5993/ajhb.29.4.9. [CrossRef] [PubMed] [Google Scholar]
  53. Lee, D. Y., Yoo, M. G., Kim, H. J., Jang, H. B., Kim, J. H., Lee, H. J., & Park, S. I. (2017). Association between alcohol consumption pattern and the incidence risk of type 2 diabetes in Korean men: A 12-years follow-up study. Sci Rep, 7(1), 7322. doi:10.1038/s41598-017-07549-2 [CrossRef] [PubMed] [Google Scholar]
  54. Peng, M., Zhang, J., Zeng, T., Hu, X., Min, J., Tian, S., … Chen, L. (2019). Alcohol consumption and diabetes risk in a Chinese population: a Mendelian randomization analysis. Addiction, 114(3), 436-449. doi:10.1111/add.14475 [CrossRef] [PubMed] [Google Scholar]
  55. Zhang, S., Liu, Y., Wang, G., Xiao, X., Gang, X., Li, F., … Wang, G. (2016). The Relationship between Alcohol Consumption and Incidence of Glycometabolic Abnormality in Middle-Aged and Elderly Chinese Men. Int J Endocrinol, 2016, 1983702. doi:10.1155/2016/1983702 [PubMed] [Google Scholar]
  56. Baliunas, D. O., Taylor, B. J., Irving, H., Roerecke, M., Patra, J., Mohapatra, S., & Rehm, J. (2009). Alcohol as a risk factor for type 2 diabetes: A systematic review and meta-analysis. Diabetes Care, 32(11), 2123-2132. doi:10.2337/dc09-0227 [CrossRef] [PubMed] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.