Social and Economic Impacts of Gambling in Massachusetts project, University of Massachusetts Amherst, School of Public Health and Health Sciences, 429 Arnold House, 715 North Pleasant Street, Amherst, MA, 01003-9304, USA.
Faculty of Health Sciences, University of Lethbridge, M3017 Markin Hall, Alberta, T1K 3M4, Canada.
BMC Public Health. 2018 Aug 30;18(1):1080. doi: 10.1186/s12889-018-5988-2.
The variables correlated with problem gambling are routinely assessed and fairly well established. However, problem gamblers were all 'at-risk' and 'recreational' gamblers at some point. Thus, it is instructive from a prevention perspective to also understand the variables which discriminate between recreational gambling and at-risk gambling and whether they are similar or different to the ones correlated with problem gambling. This is the purpose of the present study.
Between September 2013 to May 2014, a representative sample of 9,523 Massachusetts adults was administered a comprehensive survey of their past year gambling behavior and problem gambling symptomatology. Based on responses to the Problem and Pathological Gambling Measure, respondents were categorized as Non-Gamblers (2,523), Recreational Gamblers (6,271), At-Risk Gamblers (600), or Problem/Pathological Gamblers (129). With the reference category of Recreational Gambler, a series of binary logistic regressions were conducted to identify the demographic, health, and gambling related variables that differentiated Recreational Gamblers from Non-Gamblers, At-Risk-Gamblers, and Problem/Pathological Gamblers.
The strongest discriminator of being a Non-Gambler rather than a Recreational Gambler was having a lower portion of friends and family that were regular gamblers. Compared to Recreational Gamblers, At-Risk Gamblers were more likely to: gamble at casinos; play the instant and daily lottery; be male; gamble online; and be born outside the United States. Compared to Recreational Gamblers, Problem and Pathological Gamblers were more likely to: play the daily lottery; be Black; gamble at casinos; be male; gamble online; and play the instant lottery. Importantly, having a greater portion of friends and family who were regular gamblers was the second strongest correlate of being both an At-Risk Gambler and Problem/Pathological Gambler.
These analyses offer an examination of the similarities and differences between gambling subtypes. An important finding throughout the analyses is that the gambling involvement of family and friends is strongly related to Recreational Gambling, At-Risk Gambling, and Problem/Pathological Gambling. This suggests that targeting the social networks of heavily involved Recreational Gamblers and At-Risk Gamblers (in addition to Problem/Pathological Gamblers) could be an important focus of efforts in problem gambling prevention.
与赌博问题相关的变量通常会被评估,并且已经得到了相当充分的确立。然而,赌徒在某个时候都是“有风险的”和“娱乐性的”赌徒。因此,从预防的角度来看,了解区分娱乐性赌博和有风险赌博的变量,并了解这些变量与赌博问题的相关性是否相似或不同,也是很有意义的。这就是本研究的目的。
2013 年 9 月至 2014 年 5 月,对马萨诸塞州的 9523 名成年人进行了一项全面的调查,调查他们过去一年的赌博行为和赌博问题的症状。根据问题和病理性赌博量表的回答,受访者被分为非赌徒(2523 人)、娱乐性赌徒(6271 人)、有风险的赌徒(600 人)或问题/病理性赌徒(129 人)。以娱乐性赌徒为参考类别,进行了一系列二元逻辑回归分析,以确定区分娱乐性赌徒和非赌徒、有风险的赌徒和问题/病理性赌徒的人口统计学、健康和赌博相关变量。
非赌徒而非娱乐性赌徒的最强判别因素是朋友和家人中经常赌博的人较少。与娱乐性赌徒相比,有风险的赌徒更有可能:在赌场赌博;玩即时和每日彩票;是男性;网上赌博;以及出生在美国以外的国家。与娱乐性赌徒相比,问题/病理性赌徒更有可能:玩每日彩票;是黑人;在赌场赌博;是男性;网上赌博;玩即时彩票。重要的是,朋友和家人中经常赌博的人所占比例较大,这是有风险的赌徒和问题/病理性赌徒的第二个最强相关因素。
这些分析对不同类型的赌博进行了相似性和差异性的检查。在整个分析过程中,一个重要的发现是,家庭和朋友的赌博参与度与娱乐性赌博、有风险的赌博和问题/病理性赌博密切相关。这表明,针对重度娱乐性赌徒和有风险的赌徒(除了问题/病理性赌徒)的社交网络,可能是赌博问题预防工作的一个重要重点。