Multi-species sociology of the body

The human body has become a central focus in sociology. Such work has centred largely on the human body and its significance in social contexts. This article draws on sociological understandings of human embodiment, especially the idea of the ‘body as a project’, to facilitate a multi-species understanding of bodies and their entanglements. Conceptualising the body as a project has provided sociological insights into the scientific and technological innovations that are designed to improve health and delay death. Nonhuman animals are entangled in these efforts, though their presence is often occluded. By examining notions of body masks, body regimes and body options, which are well established in sociological thinking about the body, this article seeks to prompt consideration of how to utilise theories of the body to examine human–nonhuman animal entanglements in order to establish a multi-species sociology of the body

A survey to assist in targeting the adults who undertake risky behaviours, know their health behaviours are not optimal and who acknowledge being worried about their health

Background: Research indicates that those who are worried about their health are more likely to change their in-appropriate behavioural-related risk factors. A national survey was undertaken to determine adults who correctly perceive and actually undertake in-appropriate behavioural-related risk factors (smoking, physical activity, alcohol intake, fruit and vegetable consumption, weight and psychological distress) and are worried about their health. Methods: Australian 2010 CATI survey of 3003 randomly selected adults. Perception and self-reported levels of each risk factor, and whether they worried that the level was affecting their health were assessed using univariate and multivariate analyses. Results: The comparisons between perception of healthy behaviour and actual behaviour varied for each risk factor with 44.1% of people in the un-healthy weight range and 72.9% of those eating less than sufficient fruit and vegetables having the perception that their behaviour was healthy. The demographic and other related variables in the multivariate analyse for each risk factor varied considerably. For example the variables in the final multivariate model for smokers who were worried about their risk factor were markedly different to the other risk factor models and 45 to 54 year olds were more likely to be included in the final models for nearly all of the risk factor analyses. Conclusion: By limiting this analyses to those who are acknowledging (correctly or otherwise) that their perception of behaviour is making their health worse, this study has shown that the profile for each risk factor varies considerably. As such, evidence suggests specific targeted programs are required rather than a broad brush approach.Anne W Taylor, Kay Price and Simon Fullerto

Diabetes mellitus prevalence in out-patient Marshallese adults on Ebeye Island, Republic of the Marshall Islands.

The purpose of this study was to use a low-cost method of estimating prevalence of diabetes mellitus for a small island population receiving medical care from a single facility. A suitable sample of 692 (16.4%) from a total of 4,223 medical records of Ebeye Island Marshallese adult outpatients 30 or more years of age was reviewed in July and August 2000 for evidence of diabetes mellitus. Diagnosed diabetes was defined as having a diagnosis of diabetes noted in the chart. In patients without a diagnosis of diabetes, undiagnosed diabetes was defined as one fasting whole blood glucose > or = 70 mmol/l (126 mg/dl) or one random whole blood glucose > or = 11.1 mmol/l (200 mg/dl). Impaired fasting glucose was defined as one fasting whole blood glucose 6.1-7.0 mmol/l (110-125 mg/dl). For this population of adults 30 or more years in age, the crude prevalence of diabetes [diagnosed cases 13% (confidence interval, CI = 10-15%) and undiagnosed cases 6.9% (CI = 5.0-8.8%)] was 20% (CI = 17-23%). As the population of Ebeye is younger than the world population, adjustment to a standard world population gives an age-adjusted prevalence of diabetes in adults 30 or more years of age of 27%, and an age-adjusted prevalence in adults 20 or more years of age of 20%. In comparison, the crude prevalence of diagnosed and undiagnosed diabetes in the U.S. in adults 20 or more years of age is 8.3%, and the worldwide prevalence in adults 20 or more years of age is 4.0%. Limitations of our methodology include lack of randomization, lack of access to proper laboratory equipment, and passive case-finding, necessitating revision of standard diagnostic criteria. Prevalence rates of diabetes in Marshallese outpatients are thus significantly higher than US or worldwide rates. In addition, there are many cases of undiagnosed diabetes in the RMI. Recommended are a cross-sectional serosurvey of a large age- and gender-stratified population, increased resources to care for people with diabetes, and public health interventions to improve nutrition and facilitate physical activity in order to lower the prevalence of diabetes. The large-scale social forces that lead to diabetes need to be addressed accordingly