社交媒体上的健康传播如何影响电子烟的感知和使用? 从2017年到2020年的趋势分析
Luxi Zhang1, Song Harris Ao2, Jizhou Francis Ye1
1Department of Communication / Institute of Collaborative Innovation, University of Macau, Macau.
Addictive behaviors
|October 11, 2023
概括
社交媒体的健康传播影响了电子烟的使用,随着时间的推移,影响会发生变化. 吸烟者对感知到的危害更为敏感,这表明需要有针对性的干预措施.
科学领域:
- 公共卫生 公共卫生
- 卫生沟通健康沟通
- 行为科学 行为科学
背景情况:
- 电子烟迅速普及,使其传播和对公共卫生的影响日益关注.
- 社交媒体是传播健康信息的占主导地位的平台,但它对电子烟的感知和行为的具体影响仍未得到充分研究.
- 了解社交媒体,健康信仰和电子烟使用之间的动态相互作用对于公共卫生战略至关重要.
研究的目的:
- 调查社交媒体健康传播对公众对电子烟的态度和行为的不断变化的影响,从2017年到2020年.
- 检查社交媒体曝光与电子烟使用之间的关系中,感知相对危害的调解作用.
- 为了区分吸烟者和非吸烟者之间的这些影响.
主要方法:
- 利用了美国健康信息国家趋势调查 (HINTS) 的四年 (2017-2020) 的数据 (n=9,914,年龄18-64岁).
- 采用调节调解模型,由健康信念模型提供信息,以分析趋势和关系.
- 通过比较多年的关键变量,并区分吸烟者和非吸烟者.
主要成果:
- 观察到社交媒体健康传播 (SMH) 的增长趋势以及电子烟的相对危害感 (PHE).
- 较高的SMH直接与2019年电子烟使用增加有关,但间接与2020年通过PHE使用减少有关.
- 吸烟者始终表现出比非吸烟者对危害感知更大的敏感性.
结论:
- 研究结果表明,有直接和间接的途径将SMH与电子烟使用联系起来,其影响的时间转移.
- 这些途径的变化可能受到电子烟在线内容增加和公共卫生事件 (例如COVID-19) 的影响.
- 建议包括对电子烟广告进行更严格的监管,并在社交媒体上加强反吸烟教育,以制使用.
更多相关视频
08:39Generation of Electronic Cigarette Aerosol by a Third-Generation Machine-Vaping Device: Application to Toxicological Studies
Published on: August 25, 2018
25.6K
10:44Comparing the Effects of Electronic Cigarette Vapor and Cigarette Smoke in a Novel In Vivo Exposure System
Published on: May 24, 2017
11.5K
相关概念视频
Stimulants
224
Stimulants are substances that enhance neural activity and elevate dopamine levels in the brain, leading to their highly addictive nature. These drugs include cocaine, amphetamines, MDMA, caffeine, and nicotine, each with distinct mechanisms of action and varied health implications.
Cocaine can be administered via snorting, injection, or smoking. It primarily functions by blocking the reuptake of dopamine, resulting in a euphoric high characterized by an intense sensation of happiness and...
Cocaine can be administered via snorting, injection, or smoking. It primarily functions by blocking the reuptake of dopamine, resulting in a euphoric high characterized by an intense sensation of happiness and...
224
Statistical Methods for Analyzing Epidemiological Data
385
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
385
Stress Prevention and Stress Management Techniques IV
36
Stress often leads to unhealthy habits like smoking, excessive drinking, and overeating, which offer short-term relief but ultimately increase long-term health risks. These behaviors create a cycle that temporarily lowers stress levels but can result in severe long-term health consequences. Breaking these habits is essential to reduce the risk of chronic diseases and improve overall well-being. Three primary changes that support better health include quitting smoking, reducing alcohol intake,...
36
Lifestyle Factors and Health
65
Lifestyle factors play a critical role in maintaining overall health and preventing chronic diseases. Key elements, such as regular physical activity, a nutritious diet, and abstinence from smoking, can significantly enhance physical, mental, and emotional well-being while reducing the risk of several life-threatening conditions.
Benefits of Physical Activity
Physical activity, whether through structured exercise or casual activities like walking, biking, or dancing, is a cornerstone of a...
Benefits of Physical Activity
Physical activity, whether through structured exercise or casual activities like walking, biking, or dancing, is a cornerstone of a...
65
Causality in Epidemiology
445
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...
445
Observational Studies
8.7K
Observational studies are a type of analytical study where researchers observe events without any interventions. In other words, the researcher does not influence the response variable or the experiment's outcome.
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One...
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One...
8.7K
