Point Camille, Wacquier Benjamin, Dosogne Marjorie, Al Faker Mohammed, Willame Hadrien, Loas Gwenolé, Hein Matthieu
Erasme Hospital, Department of Psychiatry and Sleep Laboratory, Université Libre de Bruxelles (ULB), Brussels, Belgium.
J Lipids. 2022 Jun 16;2022:5450814. doi: 10.1155/2022/5450814. eCollection 2022.
The cooccurrence of major depression and dyslipidaemia is associated with negative cardiovascular outcome, which seems to justify a better identification of the factors favouring the development of dyslipidaemia in major depressed individuals. In the literature, there are arguments in favour of a special relationship between dyslipidaemia and alexithymia. However, despite a high prevalence of alexithymia in major depressed individuals, no study has investigated the impact of this personality trait on the lipid profile in this particular subpopulation. Given these elements, the aim of this study was therefore to investigate the risk of dyslipidaemia associated with alexithymia in major depressed individuals to allow better cardiovascular prevention in this subpopulation. . Demographic and polysomnographic data from 242 major depressed individuals recruited from the clinical database of the sleep laboratory were analysed. Only individuals with a diagnosis of dyslipidaemia according to the diagnostic criteria of the at admission were included in the "dyslipidaemia" group. Logistic regression analyses were used to determine the risk of dyslipidaemia associated with alexithymia in major depressed individuals.
The prevalence of dyslipidaemia was 43.8% in our sample of major depressed individuals. After adjusting for the main confounding factors, multivariate logistic regression analyses demonstrated that alexithymia was a risk factor for dyslipidaemia in major depressed individuals.
In this study, we found that alexithymia is a risk factor for dyslipidaemia in major depressed individuals, which seems to justify better identification and adequate management of this personality trait in order to allow a better lipid profile in this subpopulation at high cardiovascular risk.
重度抑郁症与血脂异常同时出现与不良心血管结局相关，这似乎证明有必要更好地识别促使重度抑郁个体发生血脂异常的因素。在文献中，有观点支持血脂异常与述情障碍之间存在特殊关系。然而，尽管述情障碍在重度抑郁个体中普遍存在，但尚无研究调查这种人格特质对这一特定亚群血脂谱的影响。鉴于这些因素，本研究的目的是调查重度抑郁个体中与述情障碍相关的血脂异常风险，以便在这一亚群中更好地进行心血管预防。对从睡眠实验室临床数据库招募的242名重度抑郁个体的人口统计学和多导睡眠图数据进行了分析。只有根据入院时的诊断标准被诊断为血脂异常的个体被纳入“血脂异常”组。采用逻辑回归分析来确定重度抑郁个体中与述情障碍相关的血脂异常风险。
在我们的重度抑郁个体样本中，血脂异常的患病率为43.8%。在对主要混杂因素进行调整后，多变量逻辑回归分析表明，述情障碍是重度抑郁个体发生血脂异常的一个风险因素。
在本研究中，我们发现述情障碍是重度抑郁个体发生血脂异常的一个风险因素，这似乎证明有必要更好地识别和适当管理这种人格特质，以便使这一具有高心血管风险的亚群有更好的血脂谱。
