Hing Nerilee, Russell Alex, Tolchard Barry, Nower Lia
Centre for Gambling Education and Research, Southern Cross University, PO Box 157, Lismore, NSW, Australia.
School of Health, University of New England, Armidale, NSW, Australia.
J Gambl Stud. 2016 Jun;32(2):511-34. doi: 10.1007/s10899-015-9548-8.
Differences in problem gambling rates between males and females suggest that associated risk factors vary by gender. Previous combined analyses of male and female gambling may have obscured these distinctions. This study aimed to develop separate risk factor models for gambling problems for males and for females, and identify gender-based similarities and differences. It analysed data from the largest prevalence study in Victoria Australia (N = 15,000). Analyses determined factors differentiating non-problem from at-risk gamblers separately for women and men, then compared genders using interaction terms. Separate multivariate analyses determined significant results when controlling for all others. Variables included demographics, gambling behaviour, gambling motivations, money management, and mental and physical health. Significant predictors of at-risk status amongst female gamblers included: 18-24 years old, not speaking English at home, living in a group household, unemployed or not in the workforce, gambling on private betting, electronic gaming machines (EGMs), scratch tickets or bingo, and gambling for reasons other than social reasons, to win money or for general entertainment. For males, risk factors included: 18-24 years old, not speaking English at home, low education, living in a group household, unemployed or not in the workforce, gambling on EGMs, table games, races, sports or lotteries, and gambling for reasons other than social reasons, to win money or for general entertainment. High risk groups requiring appropriate interventions comprise young adults, especially males; middle-aged female EGM gamblers; non-English speaking populations; frequent EGM, table games, race and sports gamblers; and gamblers motivated by escape.
男性和女性在问题赌博发生率上的差异表明,相关风险因素因性别而异。此前对男性和女性赌博情况的综合分析可能掩盖了这些差异。本研究旨在分别为男性和女性赌博问题建立风险因素模型,并确定基于性别的异同点。该研究分析了澳大利亚维多利亚州规模最大的患病率研究(N = 15,000)中的数据。分析分别确定了区分无问题赌徒和有风险赌徒的因素,然后使用交互项比较性别差异。在控制所有其他因素时,单独的多变量分析得出了显著结果。变量包括人口统计学、赌博行为、赌博动机、资金管理以及身心健康状况。女性赌徒中有风险状态的显著预测因素包括:18 - 24岁、在家不说英语、居住在集体宿舍、失业或未就业、在私人博彩、电子游戏机(EGM)、刮刮乐或宾果游戏上赌博,以及并非出于社交原因、为赢钱或一般娱乐目的而赌博。对于男性,风险因素包括:18 - 24岁、在家不说英语、低学历、居住在集体宿舍、失业或未就业、在电子游戏机、桌游、赛马、体育赛事或彩票上赌博,以及并非出于社交原因、为赢钱或一般娱乐目的而赌博。需要进行适当干预的高风险群体包括年轻人,尤其是男性;中年女性电子游戏机赌徒;非英语母语人群;频繁参与电子游戏机、桌游、赛马和体育赛事赌博的人;以及因逃避而赌博的人。