Evaluation de l'Interaction Entre Les Horaires Atypiques et/ou Les Temps d'inactivité Sur Les Pratiques de Jeu à Risque Chez Les Adultes Travaillant Dans Ces Conditions
概览
- 阶段
- 不适用
- 状态
- 招募中
- 发起方
- Centre Hospitalier Universitaire de Nīmes
- 入组人数
- 25
- 试验地点
- 2
- 主要终点
- Identify the predominant lexical classes in participants' discourse
概览
简要总结
At-risk gambling causes individual and social harm, influenced by environmental, psychological, and socioeconomic factors. In France, 5% of adult gamblers show at-risk gambling practices. Atypical work schedules and idle time at work could increase this risk, but few studies have explored this. These working conditions impact the mental and cognitive health of workers, potentially contributing to at-risk gambling, especially during periods of idle time The study authors wish to explore the links between atypical work schedules, idle time at work, and at-risk gambling practices, considering social norms and individual vulnerabilities.
研究设计
- 研究类型
- Observational
- 观察模型
- Ecologic Or Community
- 时间视角
- Cross Sectional
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Living with current or remission gambling, as assessed using the Problem Gambling Index Scale (PGSI) score of ≥5
- •Having been employed during the current year
- •Patients with a personal mobile phone number and email address who agree to share them for research
排除标准
- •Patient in an exclusion period determined by another study
- •Patient who has expressed their opposition to participating in this research
研究组 & 干预措施
People with gambling disorder
干预措施: semi-structured interview (Other)
结局指标
主要结局
Identify the predominant lexical classes in participants' discourse
时间窗: Day 0
Hierarchical descending classification illustrated by a dendrogram
Describe the predominant lexical classes in participants' discourse
时间窗: Day 0
Description of lexical classes and forms associated with the classes
次要结局
- Identify links between work organization, environment and personal working time during atypical working hours(Day 0)
- To identify links between work organization, environment and personal working time during periods of inactivity at work(Day 0)