年龄和党派自我识别预测了额外的COVID-19强剂的吸收:从纵向研究的证据
David Wiltse1, Filip Viskupič1
1School of American and Global Studies, South Dakota State University, Box 2212, Brookings, SD 57007, United States.
Preventive medicine reports
|September 28, 2023
概括
即使在完全接种疫苗和增强疫苗的个体中,年龄和政治身份也显著影响了额外的COVID-19疫苗增强剂的采用. 在这项研究中,对政府和人际信任的信任与助推剂的吸收没有显著的关联.
科学领域:
- 公共卫生 公共卫生
- 流行病学 流行病学
- 疫苗学 疫苗学 疫苗学
背景情况:
- COVID-19仍然是一个重大的公共卫生问题,需要持续的疫苗接种策略.
- 当局建议提供额外的增强剂量,以维持对SARS-CoV-2的免疫力.
- 了解影响增强剂吸收的因素对于有效的公共卫生干预至关重要.
研究的目的:
- 调查已经至少接受过一次增剂的个人中额外的COVID-19增剂剂量吸收的相关性.
- 检查人口因素和信任变量对随后的强剂疫苗接种决定的影响.
- 在完全接种疫苗和增强疫苗的人群中识别疫苗接种行为的差异.
主要方法:
- 纵向小组研究设计,涉及208名南达科他州的成年人.
- 调查于2022年5月和2023年2月进行,以跟踪变化.
- 测量COVID-19疫苗接种情况,对政府的信任,人际信任,年龄,性别,教育,收入和党派自我识别.
主要成果:
- 在年龄,党派自我认同和服用额外的COVID-19强剂量之间发现了统计学上显著的关联.
- 随着时间的推移,对政府和人际信任的信任变化并不是增强剂吸收的统计学上显著预测因素.
- 即使在完全接种疫苗和增强疫苗的人群中,也观察到疫苗接种行为的显著变化.
结论:
- 人口统计因素,特别是年龄和政治归属,在决定额外的COVID-19助推剂量方面发挥作用.
- 测量到的与信任相关的因素,并没有显著预测这一队列中增强剂的吸收.
- 需要进一步的研究,以了解不同人口子组中疫苗接种行为的细微差别.
相关概念视频
02:20Longitudinal Research
12.0K
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...
12.0K
01:26Longitudinal Studies
186
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...
186
01:29Bias in Epidemiological Studies
339
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:
339
01:50Cross-Sectional Research
11.4K
In cross-sectional research, a researcher compares multiple segments of the population at the same time. If they were interested in people's dietary habits, the researcher might directly compare different groups of people by age. Instead of following a group of people for 20 years to see how their dietary habits changed from decade to decade, the researcher would study a group of 20-year-old individuals and compare them to a group of 30-year-old individuals and a group of 40-year-old...
11.4K
00:52Social Proof
27.7K
Social proof is a form of persuasion based on comparison and conformity. People compare their behavior and actions to what others are doing and will change to conform to do what their peers do.
27.7K
01:31Confirmation Biases
5.5K
The confirmation bias is the tendency to focus on information that confirms our existing beliefs and ignore information that is inconsistent with our expectations. For example, if you think that your professor is not very nice, you notice all of the instances of rude behavior exhibited by the professor while ignoring the countless pleasant interactions he is involved in on a daily basis. Have you ever fallen prey to the confirmation bias, either as the source or target of such bias?
5.5K