Changes in severity of problem gambling and subsequent suicide attempts: a longitudinal survey of young adults in Great Britain, 2018-20.

BACKGROUND: Cross-sectional studies identify problem gambling as a risk factor for suicidality. Using an online longitudinal survey, we aimed to examine the association between changes in severity of gambling behaviour and attempted suicide. METHODS: The Emerging Adults Gambling Survey is a longitudinal survey of people in England, Scotland, and Wales, aged 16-24 years interviewed online between June 25 and Aug 16, 2019 (wave 1) and 1 year later between July 13 and Oct 8, 2020 (wave 2). The Problem Gambling Severity Index (PGSI) was administered at both waves. Multivariable logistic regression models examined wave 1 PGSI score and between-wave change in PGSI score as risk factors for suicide attempts at wave 2, unadjusted and with adjustment for wellbeing, anxiousness, impulsivity, perceived loneliness, and suicide attempts at wave 1. FINDINGS: 3549 participants were interviewed in wave 1 and 2094 were interviewed in wave 2, of whom 1941 were included in this analysis (749 [39%] men; 1192 women [61%]). Prevalence of attempted suicide did not change between waves (wave 1: 3·7% [95% CI 2·9-4·8], n=75; wave 2: 3·3% [2·5-4·3], n=65). 78·9% (95% CI 76·7-80·9, n=1575) of participants had stable PGSI scores between the two waves, 13·7% (11·9-15·6, n=233) of participants had a decrease in PGSI score by 1 or more, and 7·5% (6·2-8·9, n=133) had an increase in PGSI score by 1 or more. An increase in PGSI scores over time was associated with suicide attempt at wave 2, even with adjustment for baseline PGSI score and other factors (adjusted odds ratio 2·74 [95% CI 1·20-6·27]). Wave 1 PGSI score alone was not associated with suicide attempt at wave 2 in fully adjusted models. INTERPRETATION: Repeated routine screening for changes in gambling harm could be embedded in health, social care, and public service settings to allow effective identification and suicide prevention activities among young adults. FUNDING: Wellcome Trust.

The relationship between problematic gambling severity and engagement with gambling products: Longitudinal analysis of the Emerging Adults Gambling Survey.

AIMS: To measure the association between problem gambling severity and 19 different gambling activities among emerging adults (aged 16-26). DESIGN: An online non-probability longitudinal survey collecting data in two waves: wave 1, July/August 2019; wave 2, July/October 2020. SETTING: Great Britain PARTICIPANTS: A total of 2080 young adults participating in both waves. MEASUREMENTS: Problem gambling scores were collected using the Problem Gambling Severity Index (PGSI). Binary variables recorded past year participation in 19 different gambling forms, ranging from lotteries to online casino and gambling-like practices within digital games (e.g. loot box purchase, skin betting). Controls included socio-demographic/economic characteristics, the Eysenck Impulsivity Scale and the number of gambling activities undertaken. FINDINGS: Zero inflated negative binomial model lacked evidence of an effect between past year participation in any individual activities and subsequent PGSI scores. However, negative binomial random effects models for current gamblers (n = 497) showed that skin betting (incidence-rate ratio [IRR] = 2.32; 95% CI = 1.69-3.19), fixed odd betting terminals (IRR = 2.21, 95% CI = 1.61-3.05), slot/fruit machines (IRR = 1.43, 95% CI = 1.07-1.91), online betting on horse/dog races (IRR = 1.53, 95% CI = 1.17-2.00) and online betting on non-sports events (IRR = 1.44, 95% CI = 1.11-1.89) were associated with increased PGSI scores. Online casino gambling had a significant interaction by wave; the impact of online casino betting in wave 2 on PGSI scores increased by a factor of 1.61. CONCLUSIONS: Past year participation of young adults (aged 16-26) in certain forms of gambling does not appear to be associated with future Problem Gambling Severity Index scores. Among young adults who are current gamblers, past year participation in certain land-based (e.g. electronic gaming machines) and online forms (e.g. skin betting) of gambling appears to be strongly associated with elevated Problem Gambling Severity Index scores.

What predicts persistent early conduct problems? Evidence from the Growing Up in Scotland cohort.

BACKGROUND: There is a strong case for early identification of factors predicting life-course-persistent conduct disorder. The authors aimed to identify factors associated with repeated parental reports of preschool conduct problems. METHOD: Nested case-control study of Scottish children who had behavioural data reported by parents at 3, 4 and 5 years. RESULTS: 79 children had abnormal conduct scores at all three time points ('persistent conduct problems') and 434 at one or two points ('inconsistent conduct problems'). 1557 children never had abnormal scores. Compared with children with no conduct problems, children with reported problems were significantly more likely to have mothers who smoked during pregnancy. They were less likely to be living with both parents and more likely to be in poor general health, to have difficulty being understood, to have a parent who agrees that smacking is sometimes necessary and to be taken to visit other people with children rarely. The results for children with persistent and inconsistent conduct problems were similar, but associations with poverty and maternal smoking were significantly less strong in the inconsistent group. CONCLUSION: These factors may be valuable in early identification of risk of major social difficulties.

The effect of survey method on survey participation: analysis of data from the Health Survey for England 2006 and the Boost Survey for London.

BACKGROUND: There is a need for local level health data for local government and health bodies, for health surveillance and planning and monitoring of policies and interventions. The Health Survey for England (HSE) is a nationally-representative survey of the English population living in private households, but sub-national analyses can be performed only at a regional level because of sample size. A boost of the HSE was commissioned to address the need for local level data in London but a different mode of data collection was used to maximise participant numbers for a given cost. This study examines the effects on survey and item response of the different survey modes. METHODS: Household and individual level data are collected in HSE primarily through interviews plus individual measures through a nurse visit. For the London Boost, brief household level data were collected through interviews and individual level data through a longer self-completion questionnaire left by the interviewer and collected later. Sampling and recruitment methods were identical, and both surveys were conducted by the same organisation. There was no nurse visit in the London Boost. Data were analysed to assess the effects of differential response rates, item non-response, and characteristics of respondents. RESULTS: Household response rates were higher in the 'Boost' (61%) than 'Core' (HSE participants in London) sample (58%), but the individual response rate was considerably higher in the Core (85%) than Boost (65%). There were few differences in participant characteristics between the Core and Boost samples, with the exception of ethnicity and educational qualifications. Item non-response was similar for both samples, except for educational level. Differences in ethnicity were corrected with non-response weights, but differences in educational qualifications persisted after non-response weights were applied. When item non-response was added to those reporting no qualification, participants' educational levels were similar in the two samples. CONCLUSION: Although household response rates were similar, individual response rates were lower using the London Boost method. This may be due to features of London that are particularly associated with lower response rates for the self-completion element of the Boost method, such as the multi-lingual population. Nevertheless, statistical adjustments can overcome most of the demographic differences for analysis. Care must be taken when designing self-completion questionnaires to minimise item non-response.

The effect of mode and context on survey results: analysis of data from the Health Survey for England 2006 and the Boost Survey for London.

BACKGROUND: Health-related data at local level could be provided by supplementing national health surveys with local boosts. Self-completion surveys are less costly than interviews, enabling larger samples to be achieved for a given cost. However, even when the same questions are asked with the same wording, responses to survey questions may vary by mode of data collection. These measurement differences need to be investigated further. METHODS: The Health Survey for England in London ('Core') and a London Boost survey ('Boost') used identical sampling strategies but different modes of data collection. Some data were collected by face-to-face interview in the Core and by self-completion in the Boost; other data were collected by self-completion questionnaire in both, but the context differed. Results were compared by mode of data collection using two approaches. The first examined differences in results that remained after adjusting the samples for differences in response. The second compared results after using propensity score matching to reduce any differences in sample composition. RESULTS: There were no significant differences between the two samples for prevalence of some variables including long-term illness, limiting long-term illness, current rates of smoking, whether participants drank alcohol, and how often they usually drank. However, there were a number of differences, some quite large, between some key measures including: general health, GHQ12 score, portions of fruit and vegetables consumed, levels of physical activity, and, to a lesser extent, smoking consumption, the number of alcohol units reported consumed on the heaviest day of drinking in the last week and perceived social support (among women only). CONCLUSION: Survey mode and context can both affect the responses given. The effect is largest for complex question modules but was also seen for identical self-completion questions. Some data collected by interview and self-completion can be safely combined.