相关实验视频

Updated: Jun 5, 2025

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

Published on: December 9, 2015

复杂的模式和区域多重慢性疾病的决定因素在美国各地

Yanqing Xu¹, Ming Yan¹, Cong Fu¹

¹School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, Hubei 430079, China.

|December 11, 2024

概括

了解多种慢性疾病 (MCC) 是解决非传染性疾病 (NCD) 的关键. 这项研究揭示了不同的MCC模式及其独特的风险因素,指导了更好的公共卫生策略.

科学领域:

公共卫生公共卫生
流行病学流行病学
慢性疾病管理慢性疾病管理

背景情况:

非传染性慢性病 (NCD) 是一个日益严重的全球健康挑战.
多重 (≥2) 慢性疾病 (MCC) 的存在显著增加了医疗保健系统的负担.
综合网络分析对于理解复杂的MCC模式至关重要.

研究的目的:

构建一个多重慢性疾病 (MCC) 综合网络.
综合评估NCD流行率及其相关因素对MCC模式的影响.
识别针对性干预的独特的MCC模式及其独特的风险因素.

主要方法:

构建一个综合多重慢性疾病 (MCC) 网络.
对非传染性疾病的流行率和相关风险因素的分析.
识别和描述不同的MCC模式.

主要成果:

确定了四种不同的MCC模式,每个都有独特的相关风险因素.
糖尿病,慢性病和癌症的同时发生与种族,久坐不动的生活方式和吸烟有关.
高血压,高胆固醇,心脏病和关节炎与吸烟和心理健康有关.
慢性肺炎和喘的共同病情受到社会经济地位,教育和吸烟的影响,相互关系.
喘和肥胖与心理健康,吸烟,久坐不动行为和暴饮暴饮有关.
抑郁症-中风并发症受心理健康,年龄和睡眠时间的影响.

结论:

研究结果为优化医疗保健系统以减轻NCD负担提供了宝贵的见解.
建立了科学战略的基础,共同预防和管理复杂的慢性疾病.
旨在通过更好地了解MCC,在全球范围内加强公共健康和安全.

关键词:

多种多重的慢性疾病.网络分析网络分析非传染性慢性病是非传染性慢性病.公共卫生公共卫生.风险因素风险因素

更多相关视频

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts

Published on: September 20, 2024

相关概念视频

Factors Affecting Illness

Factors Affecting Illness

When a person's physical, emotional, intellectual, social development or spiritual functioning is compromised, this deviation from a healthy normal state is called illness. Illness creates stress that in turn harms individuals. Irritation, anger, denial, hopelessness, and fear are behavioral and emotional changes an individual experiences in the phases of illness. A variety of factors influence a person's health and well-being.
For instance, risk factors are connected to illness,...

Methods of Documentation VI: Case Management Model

Methods of Documentation VI: Case Management Model

The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic...

Dimensions of Health and Illness

Dimensions of Health and Illness

The factors influencing the health-illness continuum can be internal or external and may or may not be under conscious control. They are related to the following eight human dimensions, and each dimension is interrelated to one other.

Models of Health Promotion and Illness Prevention II

Models of Health Promotion and Illness Prevention II

The person's health status fluctuates continually, varying from being in good health to becoming ill and returning to being healthy. To understand the concept of illness prevention, there are two models. First, the health-illness continuum model is a graphic representation of an individual's wellness. It states that a person is considered healthy in the absence of physical disease and the presence of good emotional health.
The agent-host-environment model states that disease results...

Issues And Trends In Healthcare Delivery System

Issues And Trends In Healthcare Delivery System

The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...

Confounding in Epidemiological Studies

Confounding in Epidemiological Studies

Confounding in statistical epidemiology represents a pivotal challenge, referring to the distortion in the perceived relationship between an exposure and an outcome due to the presence of a third variable, known as a confounder. This variable is associated with both the exposure and the outcome but is not a direct link in their causal chain. Its presence can lead to erroneous interpretations of the exposure's effect, either exaggerating or underestimating the true association. This...