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相关概念视频

Primary Healthcare Services01:30

Primary Healthcare Services

1.9K
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

Principles of Disease Surveillance

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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...
439
Healthcare Agencies II01:17

Healthcare Agencies II

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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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Methods Of Healthcare Delivery System01:26

Methods Of Healthcare Delivery System

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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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相关实验视频

Updated: Jan 8, 2026

Determining Soil-transmitted Helminth Infection Status and Physical Fitness of School-aged Children
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公共卫生 公共卫生

Ling Gao1, Qiumin Qu1

  • 1The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.

Alzheimer's & dementia : the journal of the Alzheimer's Association
|December 23, 2025
PubMed
概括
此摘要是机器生成的。

一个预测农村西安认知衰退的新模型使用年龄,教育和中风史. 它的性能优于CAIDE模型,特别是在APOE ε4载体中,为未来的认知障碍提供了更好的风险评估.

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科学领域:

  • 老年学和流行病学.
  • 神经科学与公共卫生

背景情况:

  • 认知能力下降是一个重大的公共卫生挑战,特别是在老龄化农村人口中.
  • 开发准确的预测模型对于早期干预和管理至关重要.

研究的目的:

  • 开发和验证一个风险预测模型的认知衰退在一个农村的中国队列.
  • 将新模型的预测性能与已建立的CAIDE模型进行比较.

主要方法:

  • 一项在西安农村进行的前性队列研究 (2014年10月 - 2015年3月),随访4年.
  • 认知能力下降定义为迷你精神状态检查 (MMSE) 成绩下降≥4分.
  • 用于模型开发的物流回归;用于性能评估的曲线下的面积 (AUC).

主要成果:

  • 在4年内,4.15%的参与者出现认知能力下降.
  • 基于年龄,低教育程度和中风的开发模型显示出良好的预测性能 (AUC 0.73-0.77).
  • 该模型和CAIDE模型在APOE ε4载体中显示出优异的预测值 (AUC 0.87-0.89).

结论:

  • 结合年龄,教育和中风的新型风险预测模型有效预测了4年的认知衰退.
  • 与CAIDE模型相比,该模型显示出更好的预测准确性,特别是在APOE ε4载体中.
  • 建议对长期预测价值进行进一步的验证和改进.