Disability-adjusted life years attributable to dietary risk and their changing trendin Chinese residents, 1990-2019
GUO Junhao1, ZENG Jieqing2, CHEN Wendan1, MA Guoda2, PAN Haiyan1
1. Department of Epidemiology and Health Statistics, Guangdong Medical University, Dongguan, Guangdong 523808, China; 2. Shunde Women and Children's Hospital of Guangdong Medical University, Foshan, Guangdong 528300, China
Abstract：Objective To analyze the changing trend of the disease burden attributed to dietary risk factors in Chinese residents from 1990 to 2019, and to provide scientific references for understanding the composition of dietary risk of Chinese residents and improving the population's health. Methods Based on the Global Burden of Disease 2019 (GBD2019) database, disability adjusted life years (DALYs) attributable to dietary risk factors in Chinese Mainland were described and analyzed by age and gender. Joinpoint regression model was used to estimate the annual percentage change (APC) and average annual percentage change (AAPC) of age-standardized DALYs rate attributed to dietary risk factors. Results From 1990 to 2019, DALYs attributable to dietary risk in China increased from 30.63 million person years to 46.81 million person years. The age-standardized DALYs rate decreased from 3,569.76/100,000 to 2,394.00/100,000. The AAPC of age-standardized DALYs rates in the males and the females were -0.15% and -0.42% respectively. By 2019, DALYs caused by dietary risk accounted for 12.26% of all DALYs. DALYs attributable to food risk and the DALYs rate were both higher in people over 50 years old. High sodium, excessive red meat intake and insufficient cereal intake were the main dietary risks in China, respectively accounting for 45.08%, 18.69% and 18.40% of the total dietary risks. Conclusion DALYs attributable to dietary risk in Chinese population during 1990-2019 increased with the increasing age. The disease burden was found to be the largest in middle-aged and elderly people and higher in the males than in the females. With the aggravation of population aging in China, the related disease burden cannot be ignored, and prevention and control measures should be taken actively.
郭俊豪, 曾杰清, 陈文丹, 马国达, 潘海燕. 1990—2019年中国居民归因于饮食风险的伤残调整寿命年及变化趋势研究[J]. 实用预防医学, 2023, 30(10): 1194-1198.
GUO Junhao, ZENG Jieqing, CHEN Wendan, MA Guoda, PAN Haiyan. Disability-adjusted life years attributable to dietary risk and their changing trendin Chinese residents, 1990-2019. , 2023, 30(10): 1194-1198.
[1] Yin J,Zhu Y,Malik V,et al. Intake of sugar-sweetened and low-calorie sweetened beverages and risk of cardiovascular disease: a meta-analysis and systematic review[J]. Adv Nutr, 2021, 12(1):89-101. [2] Mitri J, Tomah S, Mottalib A, et al. Effect of dairy consumption and its fat content on glycemic control and cardiovascular disease risk factors in patients with type 2 diabetes: a randomized controlled study[J]. Am J Clin Nutr, 2020, 112(2):293-302. [3] Bluher M. Obesity: global epidemiology and pathogenesis[J]. Nat Rev Endocrinol, 2019, 15(5):288-298. [4] Yang L, Shao J, Bian Y, et al. Prevalence of type 2 diabetes mellitus among inland residents in China (2000-2014): a meta-analysis[J]. J Diabetes Investig, 2016, 7(6):845-852. [5] Liu S,Li Y,Zeng X,et al. Burden of cardiovascular diseases in China, 1990—2016: findings from the 2016 GlobalBurden of Disease Study[J]. JAMA Cardiol, 2019, 4(4):342-352. [6] Yin J,Zhu Y,Malik V,et al. Intake of sugar-sweetened and low-calorie sweetened beverages and risk of cardiovascular disease: a meta-analysis and systematic review[J]. Adv Nutr, 2021, 12(1):89-101. [7] 徐英,李志学,马艳,等. 1990—2019年我国15岁以上居民中2型糖尿病归因于饮食因素的疾病负担研究[J]. 中国循环杂志, 2022, 37(10):1016-1022. [8] 陈红,赵莎莎,杨婉君. 河南省焦作市高校新生膳食及生活行为方式与非酒精性脂肪肝的关系[J]. 实用预防医学, 2022, 29(9):1115-1118. [9] 陈东宇,杨晓雨,樊文龙,等. 1990—2019年亚洲主要国家胰腺癌疾病负担和归因风险因素及相关预测分析[J]. 中华肿瘤杂志, 2022, 44(9):955-961. [10] Vos T, Lim SS, Abbafati C,et al. Global burden of 369 diseases and injuries in 204 countries and territories, 1990—2019: a systematic analysis for the Global Burden of Disease Study 2019[J]. Lancet, 2020, 396(10258):1204-1222. [11] 屈彦,王天一,杨津,等. GBD数据库的数据提取方法与流程[J]. 中国循证心血管医学杂志, 2019, 11(9):1043-1046. [12] Ashkan A, Patrick JS, Kairsten AF,et al. Health effects of dietary risks in 195 countries, 1990—2017: a systematic analysis for the Global Burden of Disease Study 2017[J]. Lancet, 2019, 393(10184):1958-1972. [13] Gold MR, Stevenson D, Fryback DG. HALYS and QALYS and DALYS, oh my: similarities and differences in summary measures of population Health[J]. Annu Rev Public Health, 2002, 23(23):115-23134. [14] Kim HJ, Fay MP, Feuer EJ, et al. Permutation tests for joinpoint regression with applications to cancer rates[J]. Stat Med, 2000, 19(3):335-351. [15] Luan HH, Luo LS, Lu ZY. Historical trends in incidence of breast cancer in Shanghai, Hong Kong and Los Angeles, 1973-2012: a joinpoint and age-period-cohort analysis[J]. Int J Public Health, 2021, 66:603810. [16] Bu T,Tang D,Liu Y,et al. Trends in dietary patterns and diet-related behaviors in China[J]. Am J Health Behav, 2021, 45(2):371-383. [17] 马志敏,郝晓燕,王东阳,等. 中国膳食模式的特征、分布及其与健康相关性研究进展[J].食品工业科技,2023,44(10):396-405. [18] 陈虞兮.中国前五经济大省经济发展对居民生活水平的影响[J].价值工程,2020,39(5):35-36. [19] 李淑娟,许晓丽,于东梅,等. 2010—2012年中国农民膳食摄入特征及地区差异研究[J].中国食物与营养,2021,27(6):82-88. [20] 李丽,杜文雯,张继国,等.中国6省餐馆减盐环境及含钠调味品使用情况调查[J].实用预防医学,2020,27(6):663-666. [21] 辛良杰.中国居民膳食结构升级、国际贸易与粮食安全[J].自然资源学报,2021,36(6):1469-1480. [22] Kim OH, Booth CJ, Choi HS, et al. High-phytate/low-calcium diet is a risk factor for crystal nephropathies, renal phosphate wasting, and bone loss[J]. Elife,2020,9:e52709. [23] Mafra D, Borges NA, Cardozo LFMF, et al. Red meat intake in chronic kidney disease patients: two sides of the coin[J]. Nutrition, 2018, 46:26-32. [24] 付凌晖,刘爱华.中国统计年鉴[M].北京:中国统计出版社,2021,2:68-90. [25] 李辉尚,李哲敏,孔繁涛,等.日本居民营养变迁及对中国的启示[J].世界农业,2015,37(7):40-46. [26] 焦玮玉,薛勇,何婷超,等. 韩国膳食模式与健康关系的研究进展[J]. 中国食物与营养, 2017, 23(5):81-84.
2023, Vol. 30 
