使用日本人口普查数据评估与自杀相关的推文激增的脆弱性:仅案例研究
1Center for Innovative Clinical Medicine, Okayama University Hospital, Okayama, Japan.
JMIR formative research
|August 10, 2023
概括
年轻,男性,离婚和失业的人更容易受到与自杀有关的社交媒体内容的影响. 这项研究强调了需要识别易受影响的人群,以减轻与在线自杀信息相关的公共卫生风险.
科学领域:
- 社会科学 社会科学 社会科学
- 公共卫生 公共卫生
- 数字通信数字通信
背景情况:
- 社交媒体的普遍影响需要了解其对公共健康的影响.
- 关于社交媒体使用与自杀脆弱性之间的联系的研究有限.
- 网上与自杀相关的内容的普及加剧了识别有风险的个人的需要.
研究的目的:
- 为了识别因与自杀相关的推特增加而容易自杀的个人的特征.
- 通过了解社交媒体在自杀中的作用,为公共卫生战略做出贡献.
- 分析社交媒体趋势与个人自杀风险因素之间的相互作用.
主要方法:
- 一个单个案例研究设计分析了自杀死亡率数据和推特数据 (2011-2014).
- 后勤回归模拟了与自杀有关的推特和受害者特征的激增之间的相互作用.
- 敏感性分析使用意外死亡来证实研究结果对自杀的特异性.
主要成果:
- 在40岁或更年轻,男性,离婚和失业的个人中,与自杀相关的推文增加和脆弱性之间发现了显著的相互作用.
- 寡妇对与自杀相关的推文的互动明显较低.
- 这些发现是针对自杀死亡的具体发现,经过灵敏度分析证实了这一点.
结论:
- 诸如年龄,性别,婚姻状况和就业等个人特征影响了对与自杀相关的社交媒体内容的脆弱性.
- 年轻人,男性,失业者和离婚者特别容易受到在线自杀讨论的激增.
- 识别和支持暴露在网上自杀信息中的弱势群体对公共卫生至关重要.
关键词:
他们的推特是Twitter.只有一个案例的方法.大众媒体就是大众媒体.公共卫生公共卫生.社交媒体 社交媒体自杀的风险 自杀的风险自杀 自杀 自杀 自杀 自杀 自杀 自杀自杀预防 自杀预防与自杀相关的推文更多相关视频
07:31Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
Published on: May 15, 2020
7.1K
05:03Author Spotlight: Unveiling Mechanisms of Stress Resilience - Significant Findings, Advancements, and Future Research
Published on: December 15, 2023
4.1K
相关概念视频
Surveys
14.8K
Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
14.8K
Statistical Methods for Analyzing Epidemiological Data
411
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:
411
Bias in Epidemiological Studies
352
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:
352
Censoring Survival Data
131
Survival analysis is a statistical method used to analyze time-to-event data, often employed in fields such as medicine, engineering, and social sciences. One of the key challenges in survival analysis is dealing with incomplete data, a phenomenon known as "censoring." Censoring occurs when the event of interest (such as death, relapse, or system failure) has not occurred for some individuals by the end of the study period or is otherwise unobservable, and it might have many different...
131
Survey Safety
53
Surveying near highways, rough terrain, or power lines involves significant risks. Working along highways is particularly dangerous and requires the use of warning signs and flagmen. It is safest to avoid working directly on roads and use offsets whenever possible. When highway work is unavoidable, it must follow all safety guidelines. Surveyors should wear bright clothing, such as orange reflective vests, to ensure visibility to motorists, coworkers, and hunters. In construction zones, wearing...
53
Cross-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
