不同肥胖指标对中老年人群糖尿病的筛检效果研究

doi:10.3969/j.issn.1006-5253.2024.02.012

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Abstract Objective To explore the screening effect of different obesity indicators on diabetes in middle-aged and elderly people, and determine the optimal cutting point values and optimal indicators of different obesity indicators, so as to provide data support and scientific basis for early screening, prevention and control of diabetes.Methods A total of 12 630 people aged 45-79 years old with physical examination in a hospital were investigated by questionnaire. Receiver operating characteristic curve (ROC) was used to determine the optimal index and the optimal cutting point. Delong test was used to compare the screening effect of different obesity indicators on diabetes, and the logistic regression was used to evaluate the predictive effect of different obesity indicators at different cutting points.Results (1) The prevalence of diabetes in males was higher than that in females; (2) the area under the receiver operating characteristic curve (AUROC) of waist-to-height ratio (WHtR) index of different genders was the largest, and the AUROC of WC and WHtR was significantly different from that of body mass index (BMI) and waist-to-hip ratio (WHR); (3) at different cutting points, WC and WHtR had higher -OR-values and AUROC values.Conclusion For middleaged and elderly people, WC and WHtR have better screening ability and prediction effect for diabetes than other indicators.

Key words： obesity cutting point diabetes screening

Received: 11 January 2024

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	Articles by authors
	Zhu Huiyun
	Wang Yanan
	Chen Xiaoqian
	Wang Jiang
	Tian Feng

Cite this article:

Zhu Huiyun,Wang Yanan,Chen Xiaoqian, et al. Screening effect of different obesity indexes on diabetes in middle-aged and elderly people[J]. journal1, 2024, 31(2): 140-144.

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http://manu58.magtech.com.cn/Jwk_zgyytj/EN/10.3969/j.issn.1006-5253.2024.02.012 OR http://manu58.magtech.com.cn/Jwk_zgyytj/EN/Y2024/V31/I2/140

［1］FORBES J M, COOPER M E. Mechanisms of diabetic complications［J］. Physiol Rev, 2013,93(1):137-188. DOI: 10.1152/physrev.00045.2011.

［2］KHUNTI K, HEERSPINK H J L, LAM C S P, et al. Design and rationale of DISCOVER global registry in type 2 diabetes: Real-world insights of treatment patterns and its relationship with cardiovascular, renal, and metabolic multimorbidities［J］. J Diabetes Complications, 2021,35(12):108077. DOI: 10.1016/j.jdiacomp.2021.108077.

［3］CHO N H, SHAW J E, KARURANGA S, et al. IDF Diabetes Atlas: Global estimates of diabetes prevalence for 2017 and projections for 2045［J］. Diabetes Res Clin Pract, 2018,138:271-281. DOI: 10.1016/j.diabres.2018.02.023.

［4］MA R C W. Epidemiology of diabetes and diabetic complications in China［J］. Diabetologia, 2018,61(6):1249-1260. DOI: 10.1007/s00125-018-4557-7.

［5］SUN H, SAEEDI P, KARURANGA S, et al. IDF Diabetes Atlas: Global, regional and country-level diabetes prevalence estimates for 2021 and projections for 2045［J］. Diabetes Res Clin Pract, 2022,183:109119. DOI: 10.1016/j.diabres.2021.109119.

［6］HARDING J L, PAVK〖JP2〗OV M E, MAGLIANO D J, et al. Global trends in diabetes complications: A review of current evidence［J］. Diabetologia, 2019,62(1):3-16. DOI: 10.1007/s00125-018-4711-2.〖JP〗

［7］ANA Y, PRAFULLA S, DEEPA R, et al. Emerging and public health challenges existing in gestational diabetes mellitus and diabetes in pregnancy［J］. Endocrinol Metab Clin North Am, 2021,50(3):513-530. DOI: 10.1016/j.ecl.2021.05.008.

［8］王增武，郝光，王馨，等．我国中年人群超重/肥胖现况及心血管病危险因素聚集分析［J］．中华高血压杂志，2014，22(10)：1000．DOI: 10.16439/j.cnki.1673-7245.2014.10.021.［9］MURAKAMI Y, OKAMURA T, NAKAMURA K, et al. The clustering of cardiovascular disease risk factors and their impacts on annual medical expenditure in Japan: Community-based cost analysis using Gamma regression models［J］. BMJ Open, 2013,3(3):e002234. DOI: 10.1136/bmjopen-2012-002234.

［10］吴洵，苏健，陈路路，等．江苏省心血管病高危人群中高血压患者血压控制的随访研究［J］．中华疾病控制杂志，2023，27(4)：399-405．DOI: 10.16462/j.cnki.zhjbkz.2023.04.005.［11］WHO. Obesity: preventing and managing the global epidemic［J］. World Health Organization Technical Report, 1997,894(1):1-253.

［12］中华医学会糖尿病学分会．中国2型糖尿病防治指南：2017年版［J］．中国实用内科杂志，2018，38(4)：292-344．DOI: 10.19538/j.nk2018040108.

［13］詹思延．流行病学［M］．8版．北京：人民卫生出版社，2017．

［14］TEO Z L, THAM Y C, YU M, et al. Global prevalence of diabetic retinopathy and projection of burden through 2045:Systematic review and meta-analysis［J］. Ophthalmology, 2021,128(11):1580-1591. DOI: 10.1016/j.ophtha.2021.04.027.

［15］WU Y L, DING Y P, TANAKA Y, et al. Risk factors contributing to type 2 diabetes and recent advances in the treatment and prevention［J］. Int J Med Sci, 2014,11(11):1185-1200. DOI: 10.7150/ijms.10001.

［16］GARLA V, KANDURI S, YANES-CARDOZO L, et al. Management of diabetes mellitus in chronic kidney disease［J］. Minerva Endocrinol, 2019,44(3):273-287. DOI: 10.23736/S0391-1977.19.03015-3.

［17］LIU J L, LIU M, CHAI Z L, et al. Projected rapid growth in diabetes disease burden and economic burden in China: A spatio-temporal study from 2020 to 2030［J］. Lancet Reg Health West Pac, 2023,33:100700. DOI: 10.1016/j.lanwpc.2023.100700.

［18］MIKLAVCIC J J, FRASER K D, PLOEG J, et al. Effectiveness of a community program for older adults with type 2 diabetes and multimorbidity: A pragmatic randomized controlled trial［J］. BMC Geriatr, 2020,20(1):174. DOI: 10.1186/s12877-020-01557-0.

［19］CHELLIAH A, BURGE M R. Hypoglycaemia in elderly patients with diabetes mellitus: Causes and strategies for prevention［J］. Drugs Aging, 2004,21(8):511-530. DOI: 10.2165/00002512-200421080-00003.

［20］国家卫生健康委员会疾病预防控制局. 中国居民营养与慢性病状况报告：2020年［M］. 北京: 人民卫生出版社, 2020.

［21］LAM B C C, KOH G C H, CHEN C, et al. Comparison of Body Mass Index (BMI), Body Adiposity Index (BAI), Waist Circumference (WC), Waist-To-Hip Ratio (WHR) and Waist-To-Height Ratio (WHtR) as predictors of cardiovascular disease risk factors in an adult population in Singapore［J］. PLoS One, 2015,10(4):e0122985. DOI: 10.1371/journal.pone.0122985.

［22］MALONE J I, HANSEN B C. Does obesity cause type 2 diabetes mellitus (T2DM)? Or is it the opposite?［J］. Pediatr Diabetes, 2019,20(1):5-9. DOI: 10.1111/pedi.12787.

［23］LORENZO C, SERRANO-ROS M, MARTNEZ-LARRAD M T, et al. Which obesity index best explains prevalence differences in type 2 diabetes mellitus?［J］. Obesity, 2007,15(5):1294-1301. DOI: 10.1038/oby.2007.151.

［24］LIN W Y, LEE L T, CHEN C Y, et al. Optimal cut-off values for obesity: Using simple anthropometric indices to predict cardiovascular risk factors in Taiwan ［J］. Int J Obes Relat Metab Disord, 2002,26(9):1232-1238. DOI: 10.1038/sj.ijo.0802040.

［25］TSENG C H, CHONG C K, CHAN T T, et al. Optimal anthropometric factor cutoffs for hyperglycemia, hypertension and dyslipidemia for the Taiwanese population［J］. Atherosclerosis, 2010,210(2):585-589. DOI: 10.1016/j.atherosclerosis.2009.12.015.

［26］ASHWELL M, GIBSON S. Waist to height ratio is a simple and effective obesity screening tool for cardiovascular risk factors: Analysis of data from the British National Diet And Nutrition Survey of adults aged 19-64 years［J］. Obes Facts, 2009,2(2):97-103. DOI: 10.1159/000203363.［27］付文宁．中国40岁及以上人群不同肥胖指标与高血压和糖尿病的关系及其预测价值研究［D］．武汉：华中科技大学，2019．

［28］王佳丽．新疆居民心血管代谢危险因素聚集状况及与不同肥胖指标关系的研究［D］．北京：北京协和医学院，2018．