Prevalence of self-reported diagnosis of diabetes mellitus and associated risk factors in a national survey in the US population: SHIELD (Study to Help Improve Early evaluation and management of risk factors Leading to Diabetes).
Prevalence of self-reported diagnosis of diabetes mellitus and associated risk factors in a national survey in the US population: SHIELD (Study to Help Improve Early evaluation and management of risk factors Leading to Diabetes).
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在美国人口的一项全国调查中，自我报告的糖尿病诊断和相关危险因素的患病率：盾牌（研究旨在帮助改善导致糖尿病的危险因素的早期评估和管理）。
DOI：
10.1186/1471-2458-7-277
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发表时间：
2007-10-03
影响因子：
4.5
通讯作者：
Grandy, Susan
中科院分区：
文献类型：
--
作者：
Bays, Harold E;Bazata, Debbra D;Clark, Nathaniel G;Gavin, James R 3rd;Green, Andrew J;Lewis, Sandra J;Reed, Michael L;Stewart, Walter;Chapman, Richard H;Fox, Kathleen M;Grandy, Susan
来自连续全国调查的研究表明，美国确诊糖尿病的患病率正在增加。这项研究使用“帮助改善导致糖尿病的风险因素的早期评估和管理研究”（SHIELD）的数据，估计了2004年社区人群中自我报告的糖尿病和其他疾病诊断的患病率。最初的筛查问卷于2004年邮寄给美国200，000个家庭的分层随机样本，以识别年龄≥ 18岁的糖尿病患者或糖尿病相关风险因素。然后将随访疾病影响问卷邮寄给每个感兴趣的亚组（糖尿病患者或糖尿病风险因素数量不同的患者）中具有代表性的分层随机样本（n = 22，001）。计算了估计的全国糖尿病和其他疾病的患病率，并与1999-2002年全国健康和营养检查调查（NHANES）的患病率估计值进行了比较。筛查的应答率为63.7%，随访基线调查的应答率为71.8%。SHIELD筛查调查发现，自我报告的糖尿病诊断（1型或2型）的总体患病率为8.2%，患病率随着年龄的增加和收入的减少而增加。在逻辑回归模型中，腹部肥胖者更容易被诊断为2型糖尿病（比值比[OR] = 3.50; p < 0.0001），BMI ≥28 kg/m2（OR = 4.04; p < 0.0001），或已诊断为血脂异常（OR = 3.95; p < 0.0001）、高血压（OR = 4.82; p < 0.0001）或心血管疾病（OR = 3.38; p < 0.0001）。神盾局的设计考虑到了一个非常大的、以社区为基础的样本，具有广泛的人口代表性。当比较SHIELD筛查调查（仅自我报告）与NHANES 1999-2002（自我报告，临床和实验室评估）的结果时，糖尿病的患病率相似。SHIELD允许识别当前有或没有感兴趣的疾病诊断的受访者，并对未来诊断该疾病的风险因素进行潜在的纵向评估。
Studies derived from continuous national surveys have shown that the prevalence of diagnosed diabetes mellitus in the US is increasing. This study estimated the prevalence in 2004 of self-reported diagnosis of diabetes and other conditions in a community-based population, using data from the Study to Help Improve Early evaluation and management of risk factors Leading to Diabetes (SHIELD). The initial screening questionnaire was mailed in 2004 to a stratified random sample of 200,000 households in the US, to identify individuals, age ≥ 18 years of age, with diabetes or risk factors associated with diabetes. Follow-up disease impact questionnaires were then mailed to a representative, stratified random sample of individuals (n = 22,001) in each subgroup of interest (those with diabetes or different numbers of risk factors for diabetes). Estimated national prevalence of diabetes and other conditions was calculated, and compared to prevalence estimates from the National Health and Nutrition Examination Survey (NHANES) 1999–2002. Response rates were 63.7% for the screening, and 71.8% for the follow-up baseline survey. The SHIELD screening survey found overall prevalence of self-reported diagnosis of diabetes (either type 1 or type 2) was 8.2%, with increased prevalence with increasing age and decreasing income. In logistic regression modeling, individuals were more likely to be diagnosed with type 2 diabetes if they had abdominal obesity (odds ratio [OR] = 3.50; p < 0.0001), BMI ≥28 kg/m2 (OR = 4.04; p < 0.0001), or had been diagnosed with dyslipidemia (OR = 3.95; p < 0.0001), hypertension (OR = 4.82; p < 0.0001), or with cardiovascular disease (OR = 3.38; p < 0.0001). The SHIELD design allowed for a very large, community-based sample with broad demographic representation of the population of interest. When comparing results from the SHIELD screening survey (self-report only) to those from NHANES 1999–2002 (self-report, clinical and laboratory evaluations), the prevalence of diabetes was similar. SHIELD allows the identification of respondents with and without a current diagnosis of the illness of interest, and potential longitudinal evaluation of risk factors for future diagnosis of that illness.