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首页> 外文期刊>Diabetes, metabolic syndrome and obesity: targets and therapy >Symptom profiles of subsyndromal depression in disease clusters of diabetes, excess weight, and progressive cerebrovascular conditions: a promising new type of finding from a reliable innovation to estimate exhaustively specified multiple indicators–multiple causes (MIMIC) models
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Symptom profiles of subsyndromal depression in disease clusters of diabetes, excess weight, and progressive cerebrovascular conditions: a promising new type of finding from a reliable innovation to estimate exhaustively specified multiple indicators–multiple causes (MIMIC) models

机译:糖尿病,超重和进行性脑血管疾病的疾病群中的症状下抑郁症的症状特征:通过可靠的创新来估计详尽指定的多指标多原因(MIMIC)模型的一种有希望的新发现

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摘要

Addressing subsyndromal depression in cerebrovascular conditions, diabetes, and obesity reduces morbidity and risk of major depression. However, depression may be masked because self-reported symptoms may not reveal dysphoric (sad) mood. In this study, the first wave (2,812 elders) from the New Haven Epidemiological Study of the Elderly (EPESE) was used. These population-weighted data combined a stratified, systematic, clustered random sample from independent residences and a census of senior housing. Physical conditions included progressive cerebrovascular disease (CVD; hypertension, silent CVD, stroke, and vascular cognitive impairment [VCI]) and co-occurring excess weight and/or diabetes. These conditions and interactions (clusters) simultaneously predicted 20 depression items and a latent trait of depression in participants with subsyndromal (including subthreshold) depression (11≤ Center for Epidemiologic Studies Depression Scale [CES-D] score ≤27). The option for maximum likelihood estimation with standard errors that are robust to non-normality and non-independence in complex random samples (MLR) in Mplus and an innovation created by the author were used for estimating unbiased effects from latent trait models with exhaustive specification. Symptom profiles reveal masked depression in 1) older males, related to the metabolic syndrome (hypertension–overweight–diabetes; silent CVD–overweight; and silent CVD–diabetes) and 2) older females or the full sample, related to several diabetes and/or overweight clusters that involve stroke or VCI. Several other disease clusters are equivocal regarding masked depression; a couple do emphasize dysphoric mood. Replicating findings could identify subgroups for cost-effective screening of subsyndromal depression.
机译:在脑血管疾病,糖尿病和肥胖症中解决综合征下抑郁症可降低发病率和严重抑郁症的风险。但是,抑郁可能会被掩盖,因为自我报告的症状可能不会显示烦躁不安(悲伤)的情绪。在这项研究中,使用了来自纽黑文老年人流行病学研究(EPESE)的第一波(2812名老年人)。这些人口加权数据结合了来自独立住所的分层,系统,聚类的随机样本和高级住房普查。身体状况包括进行性脑血管疾病(CVD;高血压,无声CVD,中风和血管性认知障碍[VCI])以及体重过多和/或糖尿病并发。这些条件和相互作用(群)同时预测了患有亚综合征(包括阈下阈值)的抑郁症患者的20个抑郁症项目和抑郁症的潜在特征(11≤流行病学研究中心抑郁量表[CES-D]得分≤27)。使用Mplus中复杂随机样本(MLR)中对非正态性和非独立性具有鲁棒性的,具有标准误差的最大似然估计选项和作者创建的一项创新技术,可以用详尽的规格估计潜在特征模型的无偏效应。症状特征显示:1)与代谢综合征(高血压-超重-糖尿病;无声CVD-超重;无声CVD-糖尿病)相关的老年男性和2)与若干糖尿病和/或相关的老年女性或全部样本或涉及中风或VCI的超重类。关于掩盖性抑郁症,其他几种疾病也模棱两可。一对夫妇确实强调烦躁的情绪。复制研究结果可以确定亚组,以进行成本有效的筛下综合征抑郁症筛查。

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