服用非典型抗精神病药物患者的代谢综合征:沙特阿拉伯塔伊夫市 Erada 和心理健康综合医院的横断面比较研究。

Psychopharmacology bulletin Pub Date : 2024-08-19
Dhaifallah M Alhasani, Anas Ibn Auf, Ahmed A Alghamdi, Abdullah R Alzahrani
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引用次数: 0

摘要

简介:与第一代抗精神病药物(FGAs)相比,第二代抗精神病药物(SGAs)具有良好的副作用,因此被广泛用于治疗精神疾病。然而,SGAs 也会产生明显的代谢副作用。本研究旨在探讨使用 SGAs 和不使用 SGAs 的人群在社会人口学和健康方面的差异:本研究对 148 名参与者进行了横断面比较研究,其中包括 102 名 SGA 使用者和 46 名非使用者。数据收集自患者和医疗记录,包括社会人口学因素和健康变量,包括糖尿病、高血压、心血管疾病、高脂血症、腰围、空腹血糖、胆固醇、甘油三酯、高密度脂蛋白、低密度脂蛋白和体重指数。统计分析包括卡方检验和费雪精确检验,以比较两组数据:结果:与不使用 SGA 的人群相比,SGA 使用者的超重率和肥胖率更高(P = 0.000),SGA 使用者中有 30.4% 超重,29.4% 肥胖,而不使用 SGA 的人群中超重率为 21.7%,肥胖率为 4.3%。在 SGA 使用者中,心血管疾病的发病率较高(11.8% 对 2.2%,p = 0.076)。尽管没有统计学意义,但趋势表明,非使用者的糖尿病和高脂血症患病率更高(分别为 30.4% 对 18.6%,p = 0.110 和 7% 对 0%,p = 0.083):本研究强调了 SGA 使用者和非使用者在体重指数和心血管疾病患病率方面的显著差异,从而加强了对接受 SGA 治疗的患者进行全面代谢监测的必要性。研究结果强调了在管理与使用 SGA 相关的健康风险时考虑社会人口因素的重要性。为了更好地了解这些关联并制定有针对性的干预措施,我们有必要利用更大的样本量和纵向设计开展进一步的研究。
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Metabolic Syndrome among Patients Taking Atypical Antipsychotics: A Comparative Cross-Sectional Study at Erada and Mental Health Complex in Taif, Saudi Arabia.

Introduction: Second-Generation Antipsychotics (SGAs) are widely used for treating psychiatric disorders due to their favorable side effect profile compared to First-Generation Antipsychotics (FGAs). However, SGAs are associated with significant metabolic side effects. This study aims to explore the sociodemographic and health differences between individuals using SGAs and those not using them.

Methods: A comparative cross-sectional study was conducted with 148 participants, including 102 SGA users and 46 non-users. Data were collected from patients and medical records, encompassing sociodemographic factors and health variables including diabetes mellitus, hypertension, cardiovascular disease, hyperlipidemia, waist circumference, fasting blood glucose, cholesterol, triglycerides, HDL, LDL, and BMI. Statistical analyses included chi-square and Fisher's exact tests to compare the two groups.

Results: SGA users had higher rates of overweight and obesity compared to non-users (p = 0.000), with 30.4% overweight and 29.4% obese among SGA users versus 21.7% overweight and 4.3% obese among non-users. A higher prevalence of cardiovascular disease was observed in SGA users (11.8% vs. 2.2%, p = 0.076). Although not statistically significant, trends indicated higher rates of diabetes mellitus and hyperlipidemia in non-users (30.4% vs. 18.6%, p = 0.110 and 7% vs. 0%, p = 0.083, respectively).

Conclusion: This study highlights significant differences in BMI and cardiovascular disease prevalence between SGA users and non-users, reinforcing the need for comprehensive metabolic monitoring in patients treated with SGAs. The findings underscore the importance of considering sociodemographic factors in managing the health risks associated with SGA use. Further research with larger sample sizes and longitudinal designs is warranted to better understand these associations and develop targeted interventions.

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