种族密度效应作为生态疾病模型中的上下文影响:确定其定量表达
1School of Geography, Queen Mary University of London, London, E1 4NS, UK.
Health & place
|August 6, 2023
概括
社区中较高的种族密度可能会降低少数群体的精神病风险. 这项研究发现,非白人族裔
科学领域:
- 流行病学 流行病学
- 社会精神病学是一种社会精神病学.
- 地理信息系统 地理信息系统
背景情况:
- 研究表明,邻居种族密度和种族群体内的疾病率之间存在联系.
- "民族密度效应"可能会影响精神病风险,特别是在少数民族度较高的地区.
- 地理和人口因素可以相互作用,可能会改变健康结果.
研究的目的:
- 调查种族密度对伦敦社区精神病患病率的非线性影响.
- 检查是否种族密度作为一个背景因素,减弱少数民族种族和精神病风险之间的关联.
- 探索剥夺放大在精神病流行中的作用.
主要方法:
- 来自4835个伦敦社区 (2019-2020年) 的精神病流行数据的分析.
- 利用来自初级保健的临床诊断数据,提供完整的人口视角.
- 采用生态疾病回归和空间变化的系数模型来评估种族密度的影响.
主要成果:
- 发现了非白人种族对精神病患病率的非线性影响的证据.
- 精神病风险在非白人人口度的某个值以上保持相对稳定.
- 在这种情况下,没有证据支持"剥夺放大"假说.
结论:
- 一旦达到一定人口值,种族密度似乎对少数民族群体的精神病风险产生保护作用.
- 这些发现表明,与种族密度相关的上下文因素可以改变种族与心理健康之间的关系.
- 需要进一步的研究来了解这些观察到的地理和人口相互作用背后的机制.
相关概念视频
Dimensions of Health and Illness
7.4K
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.
7.4K
Causality in Epidemiology
472
Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
472
Models of Health Promotion and Illness Prevention II
1.6K
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...
The agent-host-environment model states that disease results...
1.6K
Bias in Epidemiological Studies
352
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
352
Factors Affecting Illness
4.3K
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,...
For instance, risk factors are connected to illness,...
4.3K
Distribution and Dispersion
21.9K
To understand intra-specific interactions in populations, scientists measure the spatial arrangement of species individuals. This geographic arrangement is known as the species distribution or dispersion. Highly territorial species exhibit a uniform distribution pattern, in which individuals are spaced at relatively equal distances from one another. Species that are highly tied to particular resources, such as food or shelter, tend to concentrate around those resources, and thus exhibit a...
21.9K


