Global prevalence of help-seeking for problem gambling: A systematic review and meta-analysis.

BACKGROUND AND AIMS: Multiple studies have examined barriers and facilitators to help-seeking, but the prevalence of help-seeking for problem gambling (PG) is not well established. We aimed to estimate the international prevalence of help-seeking for PG among the general population and among subgroups of people at risk for PG (i.e. low-risk, moderate-risk and PG). METHODS: Systematic search of grey literature (through gambling repositories, gambling research institutes and Google) and peer-reviewed literature (through ProQuest, PsycINFO, PubMed and Scopus) for gambling prevalence studies that reported on help-seeking for PG. This review adhered to the Preferred Reporting Items for Systematic Review and Meta-Analyses. Studies used representative sampling methods to determine the prevalence of gambling participation and data collection 2010 onward. Twenty-four studies met the inclusion criteria. The main outcome was population prevalence of help-seeking for PG. Help-seeking was defined as any intentional action to change gambling behaviours, including professional services (inclusive of in-person or distance help), non-professional help (e.g. from family and friends) and self-help. Subgroup analyses were conducted to explain variability in help-seeking prevalence estimates. RESULTS: Measurement of help-seeking was inconsistent across included studies and, overall, there was high risk of bias. We estimated a general population help-seeking prevalence for PG of 0.23% (95% CI, 0.16-0.33). Prevalence estimates were significantly higher in studies assessing lifetime (0.50%; 95% CI, 0.35-0.71) compared with current help-seeking (0.14%; 95% CI, 0.10-0.20, P < 0.001), but there was no evidence of difference in prevalence estimates by gambling participation, region, type of help-seeking, or year of data collection. Compared with people with low-risk gambling (0.27%; 95% CI, 0.07%-1.04%), prevalence estimates were significantly higher in those with moderate-risk (3.73%; 95% CI, 2.07%-6.63%) and problem gambling (20.63%; 95% CI, 12.89%-31.35%, P < 0.001). CONCLUSIONS: One in 25 moderate-risk gamblers and 1 in 5 people with problem gambling have sought help for problems related to their gambling.

Sugar Habit Hacker: Initial evidence that a planning intervention reduces sugar intake.

BACKGROUND AND AIMS: Sugar is a potentially addictive substance that is consumed in such high levels the World Health Organisation has set recommended consumption limits. To date there are no empirically tested brief interventions for reducing sugar consumption in adult populations. The current study aimed to preliminarily assess the feasibility of recruitment, retention, and intervention engagement and impact of a brief intervention. METHODS: This pre-post study recruited 128 adults from New Zealand to complete a 30-day internet-delivered intervention with in-person and email coaching. The intervention components were derived from implementation intention principles whereby the gap between intention and behaviour was targeted. Participants selected sugar consumption goals aligned with WHO recommendations by gender. To meet these goals, participants developed action plans and coping plans and engaged in self-monitoring. Facilitation was provided by a coach to maintain retention and treatment adherence over the 30 days. RESULTS: Intervention materials were rated as very useful and participants were mostly satisfied with the program. The total median amount of sugar consumed at baseline was 1,662.5 g (396 teaspoons per week) which was reduced to 362.5 g (86 teaspoons) at post-intervention evaluation (d = 0.83). The intervention was associated with large effects on reducing cravings (d = 0.59) and psychological distress (d = 0.68) and increasing situational self-efficacy (d = 0.92) and well-being (d = 0.68) with a reduction in BMI (d = 0.51). CONCLUSION: This feasibility study indicates that a brief intervention delivering goal setting, implementation planning, and self-monitoring may assist people to reduce sugar intake to within WHO recommendations.

The efficacy of Personalized Normative Feedback interventions across addictions: A systematic review and meta-analysis.

Personalized Normative Feedback (PNF) may help address addictive disorders. PNF highlights discrepancies between perceived and actual peer norms, juxtaposed against self-reported behavior. PNF can be self-directed and cost-efficient. Our study estimates the efficacy of PNF alone, and in combination with other self-directed interventions, to address frequency and symptom severity of hazardous alcohol use, problem gambling, illicit drug and tobacco use. We searched electronic databases, grey literature, and reference lists of included articles, for randomized controlled trials published in English (January 2000-August 2019). We assessed study quality using the Cochrane Risk of Bias tool. Thirty-four studies met inclusion criteria (k = 28 alcohol, k = 3 gambling, k = 3 cannabis, k = 0 tobacco). Thirty studies provided suitable data for meta-analyses. PNF alone, and with additional interventions, reduced short-term alcohol frequency and symptom severity. PNF with additional interventions reduced short-term gambling symptom severity. Effect sizes were small. PNF did not alter illicit drug use. Findings highlight the efficacy of PNF to address alcohol frequency and symptom severity. The limited number of studies suggest further research is needed to ascertain the efficacy of PNF for gambling and illicit drug use. Cost-effectiveness analyses are required to determine the scale of PNF needed to justify its use in various settings.

Affected Others Responsivity to Gambling Harm: An International Taxonomy of Consumer-Derived Behaviour Change Techniques.

Affected others impacted by someone else's gambling utilise numerous behaviour change strategies to minimise gambling-related harm but knowledge on what these strategies are and how they are implemented is limited. This study aimed to develop a comprehensive data-driven taxonomy of the types of self-help strategies used by affected others, and to categorize these into high-level behaviour change techniques (BCTs). Two taxonomies were developed using an inductive and deductive approach which was applied to a dataset of online sources and organised into the Rubicon model of action phases. These taxonomies were family-focused (how to reduce the impact of gambling harm on families) and gambler-focused (how to support the gambler in behaviour change). In total, 329 online sources containing 3536 different strategies were identified. The family-focused classification contained 16 BCTs, and the most frequent were professional support, financial management and planned consequences. The gambler-focused classification contained 11 BCTs, and the most frequent were feedback on behaviours, professional support and financial management. The majority of family- and gambler-focused BCTs fell under the actional phase of the Rubicon model. Grounded in lived experience, the findings highlight the need for intervention and resource development that includes a wide range of specific techniques that affected others can utilise.

Mechanisms for the reduction of caffeine consumption: What, how and why.

BACKGROUND: Anecdotal evidence suggests consumers of caffeine self-administer strategies to reduce consumption, but little is known of what these strategies are or how they are implemented. This study aimed to understand the lived experience of reducing caffeine consumption including specific techniques (what) and implementation strategies (how), harm and withdrawal symptoms (why). METHODS: We developed a classification system through an inductive and deductive approach and applied it to a large dataset derived from online sources. RESULTS: A total of 112 internet sources were identified, containing 2,682 different strategies. The classification system identified 22 categories of Behaviour Change Techniques (BCT): 10 categories were directly aligned with a BCT, one was split into two categories (substance and behavioural substitution), six represented a cluster of BCT's (e.g., withdrawal management and maintaining momentum) and four appeared to uniquely represent a consumer perspective (e.g., realisation of a problem). The most common techniques were substance substitution, seek knowledge and information, avoidance of caffeine and identify prompts for change. The most frequently perceived benefit was the stimulating effects of caffeine and a feeling of mental alertness. The most frequently cited harms were sleep problems including insomnia and concerns about dependence (or addiction) to caffeine. We found 16 categories of withdrawal symptoms. The most frequently endorsed symptom was headaches, followed by fatigue, exhaustion and low energy. CONCLUSIONS: Consumers use a wide range of techniques when attempting to reduce caffeine consumption. Treatment approaches are focused on fading, but the current study found consumers most frequently focus on substance and behavioural substitution.

I was truly addicted to sugar: A consumer-focused classification system of behaviour change strategies for sugar reduction.

The reduction of free sugars has been identified as a priority issue internationally. A range of public health initiatives have been recommended, including the provision of information and support for sugar reduction. To inform these approaches, it is important to know what people actually do in real world settings to reduce their consumption. This study documents and defines the range of consumer-based behaviour change strategies for sugar reduction. A total of 1145 strategies were extracted from 47 internet sources (i.e., consumer, popular and professional). Using a pragmatic content analysis, hundreds of strategies were organized into 25 discrete categories of strategies. Categories were grouped into the Rubicon Model of Action Phases and classified as pre-decisional (i.e., decisional balance, feedback, realisation, seek knowledge and information), post-decisional (i.e., action planning, coping planning, set goal intention, sugar guidelines) and actional phase. Actional strategies were the most prolific and included avoidance, consumption control, consumption planning, environmental restructuring, healthy eating focus, maintain readiness, professional support, refocusing, self-monitoring, social support, substance substitution, tapering, address underlying issues, urge management, well-being and withdrawal management. There was one post-actional strategy which was associated with self-evaluation (i.e., reviewing a change attempt in order to plan for the future). Four categories of strategies differed according to the source. Substance substitution was substantially less frequently discussed by consumers than professionals and few professional sites acknowledged or advised strategies to manage the struggle of maintaining readiness following a change attempt. Hundreds of individual strategies are discussed or promoted in online settings, and more information is needed on the effectiveness of these self-initiated approaches.