摩洛哥菲斯-梅克内斯地区慢性呼吸系统疾病患者的生活质量及其决定因素。

IF 1.1 Q4 RESPIRATORY SYSTEM Monaldi Archives for Chest Disease Pub Date : 2024-09-12 DOI:10.4081/monaldi.2024.2964
Nassiba Bahra, Bouchra Amara, Hind Bourkhime, Soukaina El Yaagoubi, Nada Othmani, Nabil Tachfouti, Mohamed Berraho, Mounia Serraj, Mohamed Chakib Benjelloun, Samira El Fakir
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引用次数: 0

摘要

慢性呼吸系统疾病(CRDs)是一个严重的公共卫生问题,影响社会功能和心理健康,导致生活质量下降。本研究的目的是评估摩洛哥慢性呼吸道疾病患者的生活质量,并确定与患者生活质量下降相关的因素。这项横断面研究于 2021 年在非斯哈桑二世大学医院肺科进行。数据收集采用匿名问卷调查的方式进行,其中包含社会人口学、临床和治疗信息。我们采用了摩洛哥版的 12 项短表(SF-12)量表来评估患者的精神和身体生活质量。我们使用与所研究变量类型相适应的检验方法进行了二元分析,以研究各种因素与生活质量之间的关联。随后,考虑到混杂因素,通过多元线性回归进行多变量分析,以确定与生活质量相关的因素。纳入模型的阈值设定为 20%。显著相关性以β值及其95%置信区间(CI)表示。我们的研究包括 209 名患者,其中 50.7% 为女性,74.2% 年龄在 50 岁以上。最常见的临床症状是咳嗽。平均身体生活质量为(34.45±13.78),精神生活质量为(33.72±19.79)。多变量分析显示,身体生活质量的恶化与婚姻状况(单身)[β=-6.84; 95% CI (-11.43; -2.25);p=0.004]、改良医学研究委员会量表 II 期呼吸困难[β=-4.94; 95% CI (-9.41; -0.52);p=0.029]和发绀[β=-9.65; 95% CI (-15.64; -3.67);p=0.002]有关。在我们的患者中,与心理健康负相关的因素是年龄≥50 岁 [β=-7.84; 95% CI (-15.05; -0.62); p=0.033]、婚姻状况(单身)[β=-7.81; 95% CI (-15.14; -0.48);p=0.037]和发绀[β=-10.70; 95% CI (-20.08; -1.32); p=0.026]。SF-12 计算反映了 CRD 患者生活质量的下降。必须将生活质量评估纳入该病症的管理策略中。
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Quality of life and its determinants in patients with chronic respiratory diseases in the Fes-Meknes region, Morocco.

Chronic respiratory diseases (CRDs) pose a serious public health issue, affecting social functioning and psychological well-being and leading to a deterioration in the quality of life. The aim of this study was to assess the quality of life of patients with CRDs and determine the factors associated with their impairment in Morocco. A cross-sectional study was conducted in the Pulmonology Department of the Hassan II University Hospital in Fez in 2021. Data collection was carried out using an anonymous questionnaire containing sociodemographic, clinical, and therapeutic information. We employed the Moroccan version of the 12-item short-form (SF-12) scale to assess the mental and physical quality of life of patients. Bivariate analysis was performed to investigate the association between various factors and quality of life, using tests appropriate to the types of variables studied. Subsequently, multivariate analysis through multiple linear regression was employed to determine factors associated with quality of life, taking into account confounding factors. The threshold for inclusion in the model was set at 20%. Significant associations are presented as β values along with their 95% confidence intervals (CI). Our study included 209 patients, with 50.7% being female and 74.2% aged over 50 years. The most frequent clinical symptom was coughing. The average physical quality of life was estimated at 34.45±13.78, and the mental quality of life was 33.72±19.79. Multivariate analysis revealed that the deterioration of physical quality of life was associated with marital status (single) [β=-6.84; 95% CI (-11.43; -2.25); p=0.004], stage II dyspnea on the Modified Medical Research Council scale [β=-4.94; 95% CI (-9.41; -0.52); p=0.029], and the presence of cyanosis [β=-9.65; 95% CI (-15.64; -3.67); p=0.002]. The factors negatively associated with mental health in our patients were age ≥50 [β=-7.84; 95% CI (-15.05; -0.62); p=0.033], marital status (single) [β=-7.81; 95% CI (-15.14; -0.48); p=0.037], and presence of cyanosis [β=-10.70; 95% CI (-20.08; -1.32); p=0.026]. The SF-12 calculation reflected an impairment in the quality of life of patients with CRDs. It is imperative to integrate the assessment of quality of life into the management strategy for this pathology.

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