Is alcohol and community sport a good mix? Alcohol management, consumption and social capital in community sports clubs

Objective: Community sports clubs provide an important contribution to the health and wellbeing of individuals and the community; however, they have also been associated with risky alcohol consumption. This study assessed whether a club's alcohol management strategies were related to risky alcohol consumption by members and levels of social capital, as measured in terms of participation in and perceived safety of the club. Method: A total of 723 sports club members from 33 community football clubs in New South Wales, Australia, completed a computer assisted telephone interview (CATI) and a management representative from each club also completed a CATI. The club representative reported on the club's implementation of 11 alcohol management practices, while club members reported their alcohol consumption and perceived levels of safety at the club and participation in the club. Results: A structural equation model identified having the bar open for more than four hours; having alcohol promotions; and serving intoxicated patrons were associated with increased risky alcohol consumption while at the club; which in turn was associated with lower levels of perceived club safety and member participation. Conclusion and implications: The positive contribution of community sports clubs to the community may be diminished by specific inadequate alcohol management practices. Changing alcohol management practices can reduce alcohol consumption, and possibly increase perceived aspects of social capital, such as safety and participation.

Challenges in lifestyle and community interventions research

Earlier this year the BMC portfolio was enriched by a new journal BMC Obesity. Here, we present the aims and objectives of the section on Lifestyle and Community Interventions. Innovative research is needed. Preventing or managing obesity requires addressing different determinants across multiple levels where diverse levers and stakeholders can play a critical role. Interactions of these determinants within and between systems need to be studied. How to leverage, manage and measure this complexity underlies the innovation that is needed in the next generation of obesity interventions. The ambition of the Lifestyle and Community Interventions section is to provide a space for innovative research, including research that falls outside the traditional comfort zone. We welcome studies of heterogeneous designs, including those of qualitative, quantitative, mixed and systems methodologies. Studies of interest include not only outcomes research of interventions but also process evaluation, cost effectiveness or cost-benefit analysis, and implementation and dissemination research. Innovations that integrate diverse intervention levers or combine primary and secondary levels of prevention are particularly encouraged. The general aim of BMC Obesity’ s Lifestyle and Community Interventions section is to advance our ability to decide on what combinations of approaches will be required to effectively and equitably prevent obesity.

Exploring family and community involvement to protect Thai youths from alcohol and illegal drug abuse

Youth substance abuse is widely recognized as a major public health issue in Thailand. This study explores family and community risk and protective factors relevant to alcohol and illegal drug misuse in 1,778 Thai teenagers. Strong family attachment and a family history of antisocial behaviors were strongly associated with nearly all forms of substance abuse, with adjusted odds ratios ranging from 5.05 to 8.45. Community disorganization was strongly associated with self-reported substance use, although involvement in prosocial activities acted as a protective factor. The findings suggest that interventions that promote family cohesion and encourage community involvement may have considerable benefits in reducing substance abuse in Thai adolescents.

Securitising participation in the Philippines: KALAHI and community-driven participation

Participatory approaches to development have been implemented increasingly. One form is the World Bank’s community-driven development (CDD) programme. Participation has, also, become increasingly securitised since 2001. One instance of these trends was the Kapit-Bisig Laban sa Kahirapan (KALAHI) project in the Philippines. This paper examines the implementation of CDD and the problems of its securitisation, using the Philippines as a case study. A composite conceptual framework is advanced that draws upon the international analyses of development. Adapting the concepts of securitisation and de-politicisation, it argues that a new hegemonic-development framework has appeared: the Securitised-Washington consensus. The analysis assesses these trends through the examples of KALAHI and Philippine politics and economics. It suggests that securitised CDD projects result in token efforts at political reform and poverty alleviation that often are contradicted by counter-trends towards development decline and militarisation. Unless these deep-rooted problems are confronted, localised participation is likely to remain ineffectual.

Autism blogs: expressed emotion, language styles and concerns in personal and community settings

The Internet has provided an ever increasingly popular platform for individuals to voice their thoughts, and like-minded people to share stories. This unintentionally leaves characteristics of individuals and communities, which are often difficult to be collected in traditional studies. Individuals with autism are such a case, in which the Internet could facilitate even more communication given its social-spatial distance being a characteristic preference for individuals with autism. Previous studies examined the traces left in the posts of online autism communities (Autism) in comparison with other online communities (Control). This work further investigates these online populations through the contents of not only their posts but also their comments. We first compare the Autism and Control blogs based on three features: topics, language styles and affective information. The autism groups are then further examined, based on the same three features, by looking at their personal (Personal) and community (Community) blogs separately. Machine learning and statistical methods are used to discriminate blog contents in both cases. All three features are found to be significantly different between Autism and Control, and between autism Personal and Community. These features also show good indicative power in prediction of autism blogs in both personal and community settings.

SECC: simultaneous extraction of context and community from pervasive signals

Understanding user contexts and group structures plays a central role in pervasive computing. These contexts and community structures are complex to mine from data collected in the wild due to the unprecedented growth of data, noise, uncertainties and complexities. Typical existing approaches would first extract the latent patterns to explain the human dynamics or behaviors and then use them as the way to consistently formulate numerical representations for community detection, often via a clustering method. While being able to capture high-order and complex representations, these two steps are performed separately. More importantly, they face a fundamental difficulty in determining the correct number of latent patterns and communities. This paper presents an approach that seamlessly addresses these challenges to simultaneously discover latent patterns and communities in a unified Bayesian nonparametric framework. Our Simultaneous Extraction of Context and Community (SECC) model roots in the nested Dirichlet process theory which allows nested structure to be built to explain data at multiple levels. We demonstrate our framework on three public datasets where the advantages of the proposed approach are validated.