肥胖指数对印度2型糖尿病患者抑郁的预测价值

IF 0.9 Q3 MEDICINE, GENERAL & INTERNAL Journal of Laboratory Physicians Pub Date : 2023-04-25 DOI:10.1055/s-0043-1771402
Jiya Singh, P. Singh, Rashmi Nain, Ravi Kant, Anindya Das, A. Mirza, S. Saha
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引用次数: 0

摘要

【摘要】目的2型糖尿病(T2DM)患者发生抑郁症的几率是正常患者的4倍。评估抑郁症的常用主观工具是患者健康问卷-9 (PHQ-9)。由于缺乏客观工具导致治疗依从性差,T2DM患者的抑郁症仍未得到解决。肥胖和代谢紊乱都可能影响心理健康状况。因此,本研究旨在确定更好的肥胖指数来预测T2DM患者的抑郁。在这项以临床为基础的横断面研究中,招募了400人(260 = 2型糖尿病,140 =健康)。根据PHQ-9将T2DM患者分为T2DM + Dep (PHQ-9≥10)和T2DM-Dep (PHQ-9 < 10)。采用Pearson’s/ Spearman’s相关检验PHQ-9评分与肥胖指数的关系。采用受话者工作特性曲线分析确定截止值。结果女性糖尿病患者仅脂质积累积指数(LAPI)和内脏脂肪指数(VAI)有显著相关性(r = 0.206和r = 0.0.237),而男性糖尿病患者无显著相关性。有趣的是,T2DM + Dep组LAPI与PHQ-9评分有显著相关性(r = 0.248),而T2DM-Dep组无显著相关性。T2DM患者VAI曲线下面积最大(0.619,p = 0.002),女性糖尿病患者VAI曲线下面积最大(0.684,p = 0.002)。诊断糖尿病患者抑郁症的临界值为5.60,敏感性为70.3%,特异性为48.2%,而女性糖尿病患者的临界值为6.612,敏感性为70%,特异性为61.4%。结论VAI可能是预测糖尿病患者抑郁的最佳肥胖指标。
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Predictive Value of Adiposity Index in Identifying Depression in Individuals with Type 2 Diabetes Mellitus in Indian Population
Abstract Objectives  Type 2 diabetes mellitus (T2DM) patients are four times more prone to develop depression. Common subjective tool to evaluate depression is Patient Health Questionnaire-9 (PHQ-9). Depression in T2DM remains unaddressed because of lack of objective tools resulting in poor treatment compliance. Both obesity and metabolic disturbances could influence mental health status. Therefore, this study was designed to determine the better adiposity index to predict depression in T2DM. Subjects and Methods  In this clinic-based cross-sectional study, 400 individuals (260 = T2DM and 140 = healthy) were recruited. Based on PHQ-9, T2DM patients were divided into T2DM + Dep (PHQ-9 ≥ 10) and T2DM-Dep (PHQ-9 < 10). The relationship between the PHQ-9 score and adiposity indices was examined by Pearson's/ Spearman's correlation. The receiver-operating characteristic curve analysis was used to identify the cutoff value. Results  Female diabetic patients showed significant correlation only in lipid accumulation product index (LAPI) and visceral adiposity index (VAI) ( r  = 0.206 and r  = 0.0.237, respectively), while male diabetic patients did not show any significant association. Interestingly, T2DM + Dep group showed significant association between LAPI ( r  = 0.248) with PHQ-9 score, while T2DM-Dep group did not show significant association. VAI had maximum area under the curve in T2DM patients (0.619, p  = 0.002) as well as in female diabetic patients (0.684, p  = 0.002). The cutoff value for identifying depression among diabetic individuals was 5.60, with 70.3% sensitivity and 48.2% specificity, while in diabetic females, it was 6.612, with 70% sensitivity and 61.4% specificity. Conclusion  VAI might be the best adiposity index to predict depression among diabetic individuals.
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来源期刊
Journal of Laboratory Physicians
Journal of Laboratory Physicians MEDICINE, GENERAL & INTERNAL-
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发文量
99
审稿时长
31 weeks
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