Depressive symptom profiles, cardio-metabolic risk and inflammation: Results from the MIDUS study.
Depressive symptom profiles, cardio-metabolic risk and inflammation: Results from the MIDUS study.
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DOI：
10.1016/j.psyneuen.2017.04.011
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发表时间：
2017-08
影响因子：
3.7
通讯作者：
Fagundes C
中科院分区：
文献类型：
--
作者：
Chirinos DA;Murdock KW;LeRoy AS;Fagundes C
本研究旨在（1）提供抑郁症状特征的全面表征，（2）检查抑郁症状特征与心脏代谢结局（包括代谢综合征和肥胖）之间的横断面相关性，同时控制社会人口学变量，健康行为和炎症。我们的样本包括1085名参与MIDUS-II生物标志物研究的参与者（55.80%女性）。采用潜在特征分析（LPA），使用情绪和焦虑症状问卷（MASQ）和流行病学研究中心抑郁量表（CES-D）子量表以及匹兹堡睡眠质量指数（PSQI）总体评分的子量表推导抑郁症状特征。代谢综合征的定义是根据临时联合声明的定义。CRP被用作炎症的标志物。确定了四种抑郁症状特征。“无症状”亚组（占样本的60.65%）在各分量表中的总评分最低。“轻度症状”亚组（26.73%）的特点是各项指标得分较低，测量躯体症状的分量表在组内最高。“中度症状”亚组（10.32%）在各分量表中的评分较高（高于平均值1 SD），其中测量负面影响/兴趣丧失的分量表在组内最高。最后，“急性症状”亚组（2.30%）的特征是所有指标的总评分最高（高于平均值1.5-3 SD）。在控制了社会人口学特征和健康行为后，“中度症状”亚组与代谢综合征（OR=1.595，p=0.035）和肥胖（OR=1.555，p=0.046）显著相关。此外，在“轻度症状”亚组和存在肥胖之间存在趋势（OR=1.345，p=0.050）。炎症减弱了这些联系。在美国健康的中年人中发现了四种抑郁症状。这些特征与心脏代谢结果差异相关。未来的工作应该检查不同的症状特征是否可能反映增加风险的不同途径，以及是否需要针对性地管理症状。
This study aimed to (1) provide a comprehensive characterization of depressive symptoms profiles, and (2) examine the cross-sectional association between depressive symptom profiles and cardio-metabolic outcomes, including metabolic syndrome and obesity, while controlling for sociodemographic variables, health behaviors and inflammation. Our sample was comprised of 1085 participants (55.80% female) enrolled in the MIDUS-II biomarker study. Latent profile analysis (LPA) was used to derive depressive symptom profiles using subscales of the Mood and Anxiety Symptom Questionnaire (MASQ) and the Center for Epidemiologic Studies Depression Scale (CES-D) subscales as well as Pittsburgh Sleep Quality Index (PSQI) global score. Metabolic syndrome was defined according to the Interim Joint Statement definition. CRP was used as a marker of inflammation. Four depressive symptom profiles were identified. The “No Symptoms” subgroup (60.65% of the sample) had the lowest overall scores across subscales. The “Mild Symptoms” subgroup (26.73%) was characterized by lower scores across indicators, with subscales measuring somatic symptoms being the highest within group. The “Moderate Symptoms” subgroup (10.32%) had higher scores across subscales (1 SD above the mean), with subscales measuring negative affect/loss of interest being the highest within group. Finally, the “Acute symptoms” subgroup (2.30%) was characterized by the highest overall scores (1.5–3 SD above the mean) on all indicators. After controlling for sociodemographic characteristics and health behaviors, the “Moderate Symptoms” subgroup was significantly associated with metabolic syndrome (OR=1.595, p=0.035) and obesity (OR=1.555, p=0.046). Further, there was a trend between the “Mild Symptoms” subgroup and the presence of obesity (OR=1.345, p=0.050). Inflammation attenuated these associations. Four depressive symptom profiles were identified among healthy mid-life individuals in the US. These profiles are differentially associated with cardio-metabolic outcomes. Future work should examine whether distinct symptom profiles may reflect differential pathways to increased risk, and whether tailored management of symptoms is needed.
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