Odds of gambling among adolescents: a secondary analysis of the cross-sectional European School Survey Project on Alcohol and Other Drugs.

BACKGROUND: Gambling among adolescents is associated with gambling disorder in adulthood. This study investigated factors associated with gambling and excessive gambling in adolescents. METHODS: This secondary analysis of the cross-sectional European School Survey Project on Alcohol and Other Drugs (ESPAD) used nationally representative data from the Irish cohort of the 2019 ESPAD wave. Data were collected between March and May 2019. We included 1949 students aged 15-16 years (946 [48·5%] male, 1003 [51·5%] female), with a response rate of 85%. We calculated past year gambling prevalence as the rate of those who had gambled for money on at least one of four games of chance (slot machines, cards or dice, the lottery, betting on sports or animals) in the past 12 months. An adapted version of the three-item Consumption Screen for Problem Gambling was used to identify excessive gambling (score ≥4). We carried out descriptive and logistic regression analyses using binary covariates with Stata v16.1. We included 19 variables in the multivariable analysis. Ethics approval was granted by Dublin Institute of Technology's Ethics Committee. Non-consent forms were issued to all parents to opt out. FINDINGS: Overall, 447 (23%) of 1949 students gambled in the past year, of whom 45 (10%) engaged in excessive gambling. Using a mutually adjusted multivariable logistic regression analysis, past year gambling was associated with alcohol use (adjusted odds ratio [aOR] 1·6, 95% CI 1·1-2·2), experiencing serious arguments (aOR 1·4, 1·1-1·9), and trouble with the police (aOR 1·9, 1·2-2·8). Female gender was a protective factor (aOR 0·6, 0·4-0·9). In the univariable analysis, excessive gambling was associated with gaming (OR 2·3, 1·0-5·1), tobacco use (2·1, 1·1-4·2), e-cigarette use (2·1, 1·1-4·1), heavy episodic drinking (2·7, 1·4-5·1), trouble with the police (2·8, 1·5-5·4, p<0·01), and deliberately hurting themselves (2·8, 1·4-5·6). Female gender (OR 0·3, 0·1-0·6) and social media use (0·4, 0·2-0·8) were protective factors. Excessive gambling was also associated with betting on sports and animals (OR 3·6, 1·6-8·4), slot machines (2·9, 1·5-5·8), card or dice (2·4, 1·2-4·6), and online gambling (4·2, 2·0-8·0). INTERPRETATION: A large proportion of 15-16 year olds in Ireland have gambled for money in the past year, with one in ten of those having engaged in excessive gambling. This number is likely to be underestimated due to recall and social desirability bias. Reducing the availability, access, and appeal of gambling products in Ireland should be addressed through ongoing gambling reform. FUNDING: Institute of Public Health.

A prospective, observational study investigating the use of carbon monoxide screening to identify maternal smoking in a large university hospital in Ireland.

OBJECTIVES: This study evaluated breath carbon monoxide (BCO) testing in identifying maternal smokers as well as the difference between disclosers and non-disclosers of smoking status. We also investigated if other extrinsic factors affected the women's BCO levels in pregnancy. DESIGN: A prospective observational study. SETTING: A university obstetric hospital in an urban setting in Ireland. PARTICIPANTS: Women (n=250) and their partners (n=54) were recruited at their first antenatal visit. Women <18 years and those who did not understand English were excluded. A booking history, including recording of smoking status, was collected by midwives. Following this, women were recruited and completed a detailed research questionnaire on smoking and extrinsic/environmental BCO sources. A BCO test was performed on both the woman and her partner. PRIMARY AND SECONDARY OUTCOME MEASURES: The number of self-reported smokers and those that were positive on the BCO test. The characteristics of women who disclosed and did not disclose smoking status. The effect of extrinsic factors on the BCO test results. RESULTS: Based on the receiver-operating characteristic curve, a BCO cut-off point of ≥3 ppm was the optimal level to identify ongoing smoking. At booking history, 15% of women reported as current smokers. Based on BCO levels ≥3 ppm combined with self-reported smoking in the research questionnaire, the rate increased to 25%. Non-disclosers had similar characteristics to non-smokers. No extrinsic factors affected maternal BCO levels. CONCLUSIONS: Based on self-report and BCO levels, a quarter of women presenting for antenatal care continued to smoke, but only 60% reported their smoking to midwives. BCO measurement is an inexpensive, practical method of improving identification of maternal smoking, and it was not effected by extrinsic sources of BCO. Improved identification means more smokers can be supported to stop smoking in early pregnancy potentially improving the short-term and long-term health of both mother and child.