在美国,社会脆弱性和各种原因死亡率的差异
Benjamin Grobman1, Connor P Bondarchuk2, Arian Mansur2
1Harvard Medical School, 25 Shattuck St, Boston, MA, 02115, USA. bgrobman@hms.harvard.edu.
Journal of racial and ethnic health disparities
|August 8, 2025
概括
更高的社会脆弱性与所有群体的死亡率增加有关. 减少社会贫困可能有助于减少种族健康差异,特别是黑人美国人.
科学领域:
- 公共卫生 公共卫生
- 社会流行病学 社会流行病学
- 健康差距 研究 研究 研究 研究
背景情况:
- 区域层面的社会经济地位与更差的健康结果有关.
- 具体的社会经济措施对死亡率的影响及其因种族,地理和性别的改变需要进一步研究.
- 了解这些因素对于解决美国的健康不平等至关重要.
研究的目的:
- 检查区域级社会经济因素与美国全因死亡率之间的关联.
- 调查种族,地理和性别如何改变社会经济脆弱性和死亡率之间的关系.
- 确定干预措施的潜在目标,以减少健康差异.
主要方法:
- 使用了来自CDC WONDER数据库 (1999-2020) 的县级死亡数据.
- 综合数据与社会脆弱性指数 (SVI) 对社会人口统计学子组的整体得分.
- 在SVI四分位数中比较年龄调整的死亡率 (AAMR).
主要成果:
- 较高的SVI得分与较高的全因死亡率在整体和所有子组中显著相关.
- 在所有社会人口统计学子组中观察到显著的死亡率差异.
- 黑人-白人死亡率差异在最不易受伤害的四分位数中并不显著,但在更易受伤害的四分位数中仍然存在.
结论:
- 更高的社会脆弱性始终与死亡率的增加有关.
- 死亡率的社会人口学差异随着SVI的增加而扩大.
- 减少社会脆弱性可能有助于缓解种族健康差异,特别是受益于黑人美国人.
相关概念视频
01:29Bias in Epidemiological Studies
676
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:
676
01:18Factors Affecting Illness
4.4K
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,...
4.4K
02:12Relationship Formation
41.0K
What do you think is the single most influential factor in determining with whom you become friends and whom you form romantic relationships? You might be surprised to learn that the answer is simple: the people with whom you have the most contact. This most important factor is proximity. You are more likely to be friends with people you have regular contact with. For example, there are decades of research that shows that you are more likely to become friends with people who live in your dorm,...
41.0K
01:26Factors Affecting the Risk of Infection
12.3K
The hosts' susceptibility to infection depends on several factors. The integrity of the skin and mucous membranes helps protect the body against microbial attacks. When the skin is altered, the chance of infection, limb loss, and even death increases.
The integrity and count of the white blood cells help the body resist pathogens and fight infection. When impaired, it reduces the body's resistance to pathogens. The acidic pH levels of the gastrointestinal, genitourinary tracts, and skin...
The integrity and count of the white blood cells help the body resist pathogens and fight infection. When impaired, it reduces the body's resistance to pathogens. The acidic pH levels of the gastrointestinal, genitourinary tracts, and skin...
12.3K
01:12Relative Risk
347
Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
347
01:21Causality in Epidemiology
834
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...
834