This study provides the first analysis ever made of a representative national sample of Internet gamblers. Using participant data from the 2007 British Gambling Prevalence Survey (n = 9,003 adults aged 16 years and over), all participants who had gambled online, bet online, and/or used a betting exchange in the last 12 months (n = 476) were compared with all other gamblers who had not gambled via the Internet. Overall, results showed a number of significant sociodemographic differences between Internet gamblers and non-Internet gamblers. When compared to non-Internet gamblers, Internet gamblers were more likely to be male, relatively young adults, single, well educated, and in professional/managerial employment. Further analysis of DSM-IV scores showed that the problem gambling prevalence rate was significantly higher among Internet gamblers than among non-Internet gamblers. Results suggest that the medium of the Internet may be more likely to contribute to problem gambling than gambling in offline environments.

Suggested standfirst: Prevention of harms related to gambling requires investment in population based approaches, say Heather Wardle and colleagues

This paper presents data from the British Gambling Prevalence Survey (BGPS) 2010, a large-scale random probability survey of adults (n = 7756), to examine how people gamble and ways in which online and offline gambling are integrated. Fourteen per cent of respondents were past year Internet gamblers (7% if purchase of lottery tickets online is excluded). The majority of online gamblers were also offline gamblers and a broader taxonomy of gambling subgroups was evident. This included those who chose different mediums of access for different activities and those who gambled online and offline on the same activity (mixed mode gamblers). These mixed mode gamblers had the highest rates of gambling involvement and higher problem gambling prevalence rates. Direct comparisons between Internet and non-Internet gamblers therefore ignore key questions of how people integrate online provisions with offline activities which may have important implications for our understanding of the relative risks associated with online gambling.

Background: This study aims to project the prevalence of adult obesity to 2012 by age groups and social class, by extrapolating the prevalence trends from 1993 to 2004. Repeated cross-sectional surveys were carried out of representative samples of the general population living in households in England conducted annually (1993 to 2004). Methods: Participants were classified as obese if their body mass index was over 30 kg/m². Projections of obesity prevalence by 2012 were based on three scenarios: extrapolation of linear trend in prevalence from 1993 to 2004; acceleration (or slowing down) in rate of change based on the best fitting curve (power or exponential); and extrapolation of linear trend based on the six most recent years (1999 to 2004). Results: The prevalence of obesity increased significantly from 1993 to 2004 from 13.6% to 24.0% among men and from 16.9% to 24.4% among women. If obesity prevalence continues to increase at the same rate, it is projected that the prevalence of obesity in 2012 will be 32.1% (95% CI 30.4 to 34.8) in men and 31.0% (95% CI 29.0 to 33.1) in women. The projected 2012 prevalence for adults in manual social classes is higher (43%) than for adults in non-manual social classes (35%). Conclusion: If recent trends in adult obesity continue, about a third of all adults (almost 13 million individuals) would be obese by 2012. Of these, around 43% are from manual social classes, thereby adding to the public health burden of obesity-related illnesses. This highlights the need for public health action to halt or reverse current trends and narrow social class inequalities in health.