相关实验视频

Updated: Jul 8, 2025

Comparing Objective Conjunctival Hyperemia Grading and the Ocular Surface Disease Index Score in Dry Eye Syndrome During COVID-19

Comparing Objective Conjunctival Hyperemia Grading and the Ocular Surface Disease Index Score in Dry Eye Syndrome During COVID-19

Published on: May 25, 2022

对长期COVID流行病的交叉分析

Jennifer Cohen^1,2, Yana van der Meulen Rodgers³

¹Department of Global and Intercultural Studies, Miami University, Oxford, OH, USA. cohenje@miamioh.edu.

International journal for equity in health

|December 14, 2023

概括

长期COVID不成比例地影响女性和受教育程度较低的个人,突出显示了系统性的健康差异. 社会决定因素,不仅仅是病毒,有助于这些不平等的结果.

科学领域:

公共卫生公共卫生
社会学社会学社会学
健康差异在健康上的差异

背景情况:

长期的COVID症状,包括脑雾,抑郁和疲劳,可能会使人衰弱.
现有研究表明,在长期COVID患者中,女性,低收入和受教育程度较低的人群占比过高,但缺乏交叉分析.
这项研究通过检查长期COVID流行和结果中健康的社会决定因素的交叉性来解决这一差距.

研究的目的:

在美国进行长期COVID流行和结果的交叉分析.
调查社会决定因素,职业隔离和家庭工作分工在长期COVID差异中的作用.
确定具有较高长期COVID和活动限制风险的人口群体.

主要方法:

利用了2022年6月至2023年3月的10轮家庭脉冲调查 (HPS) 数据.
进行描述性统计,以评估长期COVID流行和症状干扰日常活动.
估计的多变量后勤回归来评估长期COVID,活动限制和交叉的人口因素 (性别,种族/种族,教育,SOGI) 之间的关联.

主要成果:

女性,有色人种,性和性别少数群体以及没有大学学位的人更有可能患有长期的COVID和活动限制.
女性面临更高的长期COVID的几率,教育水平较低加剧了这种情况.
交叉分析揭示了一个模式:受过大学教育的男性患病率最低,而没有大学学位的女性患病率最高. 活动限制显示出不同的模式,在没有学位的男性中存在更多的限制.

结论:

研究结果揭示了长期COVID流行和结果的系统性健康差异.
迫切需要制定政策来改善医疗保健准入,加强社会安全网,减少经济不稳定.
健康的社会决定因素在塑造长期COVID体验方面发挥着至关重要的作用.

关键词:

在 COVID-19 疫情中,性别差异的性别差异健康公平卫生公平在健康方面存在差异.公共卫生公共卫生种族差异是种族差异.健康的社会决定因素健康的社会决定因素健康的社会经济决定因素女性的健康妇女的健康劳动力问题劳动力问题

更多相关视频

Polar Histogram Visualization of Acute Stress Disorder Scale Scores for Comprehensive Clinical Assessment

Polar Histogram Visualization of Acute Stress Disorder Scale Scores for Comprehensive Clinical Assessment

Published on: December 6, 2024

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

相关概念视频

Prevalence and Incidence

Prevalence and Incidence

In statistical epidemiology and health sciences, two essential metrics—prevalence and incidence—are fundamental for understanding disease dynamics within a population. These measures enable public health officials, epidemiologists, and researchers to assess the burden of diseases, allocate resources effectively, and design impactful public health policies and interventions.
Prevalence indicates the proportion of individuals in a population who have a specific disease or health...

Bias in Epidemiological Studies

Bias in Epidemiological Studies

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:

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,...

Longitudinal Studies

Longitudinal Studies

Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...

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...

Longitudinal Research

Longitudinal Research

Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...