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相关概念视频

Primary Healthcare Services01:30

Primary Healthcare Services

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Primary care promotes wellness and prevents disease. This care includes health promotion, education, protection (such as immunizations), early disease screening, and environmental considerations. Settings providing this type of healthcare include physician offices, public health clinics, school nursing, and community health nursing.
In 1978, international leaders convened in Alma-Ata, Kazakhstan, for what would be a pivotal event in global health. The Alma-Ata Declaration was the first to call...
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Levels of Health Promotion and Illness Prevention01:26

Levels of Health Promotion and Illness Prevention

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Health promotion allows a person to control the determinants of health, resulting in an improved health status. It enhances the quality of life and reduces premature deaths. Health promotion and illness prevention programs help people make beneficial choices to reduce the risk of disease and disabilities. There are three health promotion and illness prevention levels: primary, secondary, and tertiary prevention.
In primary prevention, actions taken before disease onset prevent the disease from...
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Preventive Healthcare Services01:30

Preventive Healthcare Services

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Preventive healthcare services keep people healthy via frequent check-ups, screening, and counseling. They primarily aid in disease prevention rather than treating an acute or chronic illness. Preventive treatment also keeps individuals productive and energetic, allowing them to work well into their retirement years. Examples of preventive care services include:
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Principles of Disease Surveillance01:26

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Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...
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Healthcare Agencies II01:17

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There are various healthcare agencies in the United States—some of which are managed by religious institutions and others by different government branches.
Parish nursing is a growing specialty nursing profession that focuses on holistic healthcare, health promotion, and illness prevention. It blends professional nursing practice with a health ministry, focusing on health and healing within the context of a Christian community. Parish nurses serve as health educators, referral sources,...
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At the different levels of the healthcare system, we see varying methods of healthcare used. These methods include managed care systems, case management, and primary healthcare.
Managed Care System:
The managed care system is designed to control the cost while maintaining the quality of care. The patient's care from admission to discharge is planned by the primary care provider or the case manager, also known as the gatekeeper. In a managed care system, the number of care providers is...
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公共卫生 公共卫生

Jovana Jovanovska1, Corinne D Engelman2

  • 1University of Wisconsin-Madison, School of Medicine and Public Health, Madison, WI, USA.

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概括
此摘要是机器生成的。

较高的多基因风险得分 (PRS) 与晚发性阿尔茨海默病 (LOAD) 的早期发病有关. 这一发现有助于识别早期干预更高遗传风险的个体.

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科学领域:

  • 遗传学 是一个遗传学.
  • 神经科学是一个神经科学.
  • 公共卫生 公共卫生

背景情况:

  • 晚期阿尔茨海默氏病 (LOAD) 神经病理学在临床症状出现前几年就开始.
  • APOE ε4 是一个主要的遗传风险因素,但并不能解释所有的LOAD风险.
  • 多基因风险评分 (PRS) 汇总变异来预测阿尔茨海默病 (AD) 风险和发病时的年龄 (AAO).

研究的目的:

  • 评估高多基因风险得分 (PRS) 与早期发病年龄 (AAO) 之间的关系.
  • 评估跨不同祖先的PRS实用性,解决以欧洲为中心的模型的局限性.
  • 来自阿尔茨海默氏病测序项目 (ADSP) 的多祖先队列中研究PRS预测能力.

主要方法:

  • 利用了来自欧洲,非洲裔美国人和西班牙裔祖先的三个ADSP队列 (1261名参与者:466名LOAD病例,795名对照) 的数据.
  • 从40个在多祖先全基因组关联研究 (GWAS) 中识别的变异中获得的PRS.
  • 雇佣了考克斯的比例危险模型,以年龄为时间表,根据性别和APOE得分进行调整,将参与者分类为PRS五分之一.

主要成果:

  • 较高的PRS与较早的LOADAAO有显著的相关性.
  • 在最高的PRS五分位数 (80-100%) 的个体中,与最低的五分位数 (0-20%) (HR=1.45,p=0.013) 相比,患LOAD的风险增加了45%.
  • 随着PRS的增加,中位数AAO逐步下降,从最低五分位数的83岁降至最高五分位数的77岁.

结论:

  • 升高的PRS是负载中早期AAO的重要预测因素,增强了对高风险个体的识别.
  • 多祖先PRS模型显示出希望,但需要更大的数据集以提高准确性.
  • 未来的PRS模型可以通过整合不同人群的遗传,环境和生活方式因素来改进.