与人类乳头瘤病毒疫苗接种意图相关的因素在日本的年轻男性中:一个横截面研究
Hitomi Ando1,2, Junyi Shen3, Ken-Ichirou Morishige4
1College of Nursing Art and Science, University of Hyogo, Akashi, Hyogo, Japan.
Journal of community health
|March 7, 2026
概括
在日本的年轻男性中,人乳头瘤病毒 (HPV) 接种疫苗的意图与HPV的意识,知识和准备程度有关. 个人收入增加对意图产生积极影响,而正规就业则显示出负面关联.
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:
- 人类乳头瘤病毒 (HPV) 感染是一个重大的全球健康挑战,影响所有性别.
- 了解影响年轻男性接种HPV疫苗的因素对于疾病预防策略至关重要.
研究的目的:
- 在日本的年轻人中调查接种HPV疫苗的意图.
- 为了确定与HPV疫苗接种意图相关的社会人口统计学和健康相关因素.
主要方法:
- 在日本,在814名年龄在18-26岁的男性中进行了一项基于网络的横截面调查.
- 收集的数据包括社会人口统计,HPV知识/意识,COVID-19疫苗接种史,疫苗接种准备,数字健康素养和HPV疫苗接种意图.
- 使用顺序逻辑回归分析来识别相关因素.
主要成果:
- 只有15.0%的参与者打算接种HPV疫苗.
- HPV 意识,知识,疫苗接种准备,之前的 COVID-19 疫苗接种和个人收入与 HPV 疫苗接种意图有积极的关联.
- 定期就业与HPV疫苗接种意图有负面关联.
结论:
- 日本年轻男性的HPV疫苗接种意图受到意识,知识,态度和社会经济因素的影响.
- 干预措施应侧重于加强HPV教育,促进积极的疫苗接种态度,解决社会经济障碍,以增加疫苗接种率.
更多相关视频
09:37Detection of Polyfunctional T Cells in Children Vaccinated with Japanese Encephalitis Vaccine via the Flow Cytometry Technique
Published on: September 23, 2022
2.3K
04:22Treatment Model for Young Patients with Psychogenic Erectile Dysfunction and Resultant Infertility
Published on: May 30, 2025
1.2K
相关概念视频
Factors Affecting the Risk of Infection
14.3K
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...
14.3K
Factors Affecting Illness
5.6K
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,...
5.6K
Vaccinations
52.9K
Overview
52.9K
Factors Influencing Attraction IV: Reciprocity
345
Reciprocity in attraction is fundamental to social and romantic relationships, shaping how individuals form and maintain connections. The psychological principle underlying this phenomenon is that people tend to like those who express liking toward them. Balance theory supports this tendency, suggesting that mutual attraction fosters psychological harmony, whereas one-sided affection leads to discomfort and cognitive dissonance.The Psychological Mechanisms Behind ReciprocityWhen individuals...
345
Cancer Vaccines
1.2K
Cancer treatment vaccines are a rapidly evolving field that offers a promising approach to immunotherapy. Unlike traditional vaccines that prevent diseases, cancer treatment vaccines are designed to treat existing cancers by stimulating the immune system to recognize and attack cancer cells.
Cancer vaccines come in two categories: preventive (prophylactic) and treatment (active). Preventive vaccines, such as the Human Papillomavirus (HPV) vaccine, protect against viruses that cause certain...
Cancer vaccines come in two categories: preventive (prophylactic) and treatment (active). Preventive vaccines, such as the Human Papillomavirus (HPV) vaccine, protect against viruses that cause certain...
1.2K
Bias in Epidemiological Studies
1.5K
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:
1.5K
