社会人口学交叉点和多种长期疾病的风险:系统性审查
Mansuk Daniel Han1, Thomas Yates2,3, Kamlesh Khunti1,2
1Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, United Kingdom.
PloS one
|November 17, 2025
概括
多重长期疾病 (MLTC) 受交叉社会人口统计学因素的影响. 了解这些复杂的相互作用对于解决健康不平等问题和改善公共卫生中的患者结果至关重要.
科学领域:
- 公共卫生 公共卫生
- 社会学 社会学 社会学
- 健康差异 在健康上的差异
背景情况:
- 多重长期疾病 (MLTC) 构成了重大的公共卫生挑战,影响生活质量和医疗保健利用率.
- 传统研究通常独立分析社会人口统计学因素,忽视它们对健康的相互影响.
- 由于各种社会决定因素的复杂相互作用,健康不平等情况更加恶化.
研究的目的:
- 系统地审查现有的关于MLTC结果如何在社会人口统计因素的交叉点上变化的文献.
- 在多种长期疾病的背景下,探索健康不平等的关系动态.
- 识别有关终身MLTC交叉影响的研究缺口.
主要方法:
- 在PubMed,Medline和Scopus数据库中进行了系统的搜索.
- 应用了包含标准来确定相关的研究,最终选择了四项研究.
- 由于包含的研究中MLTC结果的异质性,采用了叙事综合.
主要成果:
- 有限的证据表明,在社会人口统计学因素的交叉点上,MLTC的结果有很大差异.
- 收入和MLTC结果之间的关联受到交叉社会人口统计学变量的影响.
- 当残疾与种族相交时,残疾对MLTC结果的影响会有所不同,特别是在美国的种族背景中.
- 在南非,种族和低教育程度的交集并没有显示出预计寿命的累积劣势.
结论:
- 显然,MLTC的结果受到社会人口统计学因素的交叉影响的影响.
- 未来的研究应该优先考虑纵向数据和解决方案相关的变量,用于交叉信息的MLTC研究.
- 需要适应环境的干预措施,以解决MLTC在社会人口交叉点的复杂性.
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