与长期COVID-19相关的临床和社会人口学变量:一个跨部门研究
Zohreh Mahmoodi1, Giti Bahrami1, Ehsan Shahrestanaki2
1Social Determinants of Health Research Center, Alborz University of Medical Sciences, Karaj, Iran.
女性,受过教育的人,再感染,潜在疾病和严重COVID-19的人更有可能经历长期的COVID-19症状. 这突出了长期COVID-19的主要风险因素.
科学领域:
- 流行病学 流行病学
- 公共卫生 公共卫生
- 传染性疾病 传染性疾病
背景情况:
- 长期COVID-19 (LC) 是一个重大的全球健康挑战.
- 了解LC的风险因素对于有针对性的干预至关重要.
研究的目的:
- 调查临床和社会人口因素与长期COVID-19症状 (LCS) 之间的关联.
- 确定长期COVID-19的特定风险群体.
主要方法:
- 一项在线横截面研究,涉及308名参与者在伊朗Alborz感染了COVID-19.
- 采用多变量逻辑回归模型来分析LCS与各种因素之间的关系.
主要成果:
- 76.6%的参与者报告至少有一次LCS.
- 女性性别,高等教育,COVID-19再感染,潜在疾病和严重的COVID-19感染与增加LCS的几率显著相关.
结论:
- 该研究确定了长期COVID-19的关键临床和社会人口统计预测因素.
- 结果可以为未来的研究和临床实践提供信息,用于早期风险识别和干预策略.
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