Trends in Prediabetes Among Youths in the US From 1999 Through 2018

医学 糖尿病前期 梅德林 老年学 环境卫生 人口学 糖尿病 内分泌学 2型糖尿病 社会学 政治学 法学
作者
Junting Liu,Yan Li,Donglan Zhang,Stella S. Yi,Junxiu Liu
出处
期刊:JAMA Pediatrics [American Medical Association]
卷期号:176 (6): 608-608 被引量:36
标识
DOI:10.1001/jamapediatrics.2022.0077
摘要

The US Preventive Services Task Force recently released a recommendation on screening for prediabetes and type 2 diabetes among adults, 1 but no recommendation has been issued for youths to date.A recent study 2 estimated that among youths aged 12 to 19 years, approximately 1 in 5 had prediabetes, with large variations across sociodemographic characteristics.However, trends in the prevalence of prediabetes among youths and associated disparities by population subgroups over the past 2 decades have not been reported to our knowledge, and such information is important for future diabetes prevention.In this study, we assessed trends in prediabetes among US youths from 1999 through 2018.Methods | This survey study used data from 10 cycles of the National Health and Nutrition Examination Survey (NHANES) from 1999-2000 through 2017-2018 and combined every 2 consecutive cycles to obtain sufficient sample sizes.We included youths aged 12 to 19 years who completed the interview and examination.NHANES is a series of cross-sectional surveys using a complex, multistage probability design to sample the civilian, noninstitutionalized population.The NHANES protocol was approved by the US Centers for Disease Control and Prevention National Center for Health Statistics Ethics Review Board, and all participants provided written informed consent, or assent was obtained from participants or their guardians, respectively.This study was exempt from the Mount Sinai institutional review board review because it used publicly deidentified data sets.Details on NHANES survey methods and analytic methods are documented elsewhere. 3This study followed the American Association for Public Opinion Research (AAPOR) reporting guideline.Sociodemographic variables included sex, age, race and ethnicity (Hispanic, non-Hispanic Asian, non-Hispanic Black, and non-Hispanic White), parental educational level (less than high school, high school, and some college and above), income level (family income to poverty ratio <1.3, 1.3 to <3.0, and
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