Socializing One Health: an innovative strategy to investigate social and behavioral risks of emerging viral threats

In an effort to strengthen global capacity to prevent, detect, and control infectious diseases in animals and people, the United States Agency for International Development’s (USAID) Emerging Pandemic Threats (EPT) PREDICT project funded development of regional, national, and local One Health capacities for early disease detection, rapid response, disease control, and risk reduction. From the outset, the EPT approach was inclusive of social science research methods designed to understand the contexts and behaviors of communities living and working at human-animal-environment interfaces considered high-risk for virus emergence. Using qualitative and quantitative approaches, PREDICT behavioral research aimed to identify and assess a range of socio-cultural behaviors that could be influential in zoonotic disease emergence, amplification, and transmission. This broad approach to behavioral risk characterization enabled us to identify and characterize human activities that could be linked to the transmission dynamics of new and emerging viruses. This paper provides a discussion of implementation of a social science approach within a zoonotic surveillance framework. We conducted in-depth ethnographic interviews and focus groups to better understand the individual- and community-level knowledge, attitudes, and practices that potentially put participants at risk for zoonotic disease transmission from the animals they live and work with, across 6 interface domains. When we asked highly-exposed individuals (ie. bushmeat hunters, wildlife or guano farmers) about the risk they perceived in their occupational activities, most did not perceive it to be risky, whether because it was normalized by years (or generations) of doing such an activity, or due to lack of information about potential risks. Integrating the social sciences allows investigations of the specific human activities that are hypothesized to drive disease emergence, amplification, and transmission, in order to better substantiate behavioral disease drivers, along with the social dimensions of infection and transmission dynamics. Understanding these dynamics is critical to achieving health security--the protection from threats to health-- which requires investments in both collective and individual health security. Involving behavioral sciences into zoonotic disease surveillance allowed us to push toward fuller community integration and engagement and toward dialogue and implementation of recommendations for disease prevention and improved health security

Teens' images of smoking and smokers.

The authors used qualitative and quantitative data to identify and interpret specific images teens have about smoking and smokers. Qualitative data were collected in 1996 from 793 teenagers participating in 125 focus groups at eight different sites across the United States. Most focus groups were homogeneous with respect to gender, ethnicity, and smoking status. Ages ranged from 12 to 18 years, and about half of the participants were female. The majority of participants (62%) were white and African American, the remainder (38%) were Hispanic, American Indian, and Asian/Pacific Islander. Groups were comprised of smoking and nonsmoking teens. Focus group activities were used to elicit image-related discussions about attitudes, beliefs, and perceptions of smoking. Investigators identified seven consistent and distinctive image themes: Appearance (smoking is dirty and unattractive), Activity (nonsmokers have busy, active lives), Drugs and sex (smokers are substance abusers and are sexually active), Rebellion (smokers belong to rebellious groups), Affect (smokers are depressed, angry, and stressed-out), In control (nonsmokers have self-control and are independent), and Pride (nonsmokers are proud of themselves, their families, and their heritage). A large scale, multi-site qualitative research approach can increase understanding of teen smoking. The identification of distinctive images of smoking can help researchers develop more sophisticated models of the processes of teen smoking than currently exist

Role of social support in lifestyle-focused weight management interventions.

Contains fulltext : 48515.pdf (publisher's version ) (Closed access)Social support is important to achieve beneficial changes in risk factors for disease, such as overweight and obesity. This paper presents the theoretical and practical framework for social support, and the mechanisms by which social support affects body weight. The theoretical and practical framework is supported with a literature review addressing studies involving a social support intervention for weight loss and weight loss maintenance. A major aspect in social support research and practice is the distinction between structural and functional support. Structural support refers to the availability of potential support-givers, while functional support refers to the perception of support. Interventions often affect structural support, for example, through peer groups, yet functional support shows a stronger correlation with health. Although positive correlations between social support and health have been shown, social support may also counteract health behaviour change. Most interventions discussed in this review showed positive health outcomes. Surprisingly, social support was clearly defined on a practical level in hardly any studies, and social support was assessed as an outcome variable in even fewer studies. Future social support intervention research would benefit from clear definitions of social support, a clear description of the intended mechanism of action and the actual intervention, and the inclusion of perceived social support as a study outcome