Overweight, obesity and metabolic syndrome in rural southeastern Australia

OBJECTIVE: To measure the prevalence of overweight, obesity and the metabolic syndrome (MetS) in rural Australia.

DESIGN, SETTING AND PARTICIPANTS: Cross-sectional surveys were conducted in two rural areas in Victoria and South Australia in 2004-2005. A stratified random sample of men and women aged 25-74 years was selected from the electoral roll. Data were collected by a self-administered questionnaire, physical measurements and laboratory tests.

MAIN OUTCOME MEASURES: Prevalence of overweight and obesity, as defined by body mass index (BMI) and waist circumference; prevalence of MetS and its components.

RESULTS: Data on 806 participants (383 men and 423 women) were analysed. Based on BMI, the prevalence of overweight and obesity combined was 74.1% (95% CI, 69.7%-78.5%) in men and 64.1% (95% CI, 59.5%-68.7%) in women. Based on waist circumference, the prevalence of overweight and obesity was higher in women (72.4%; 95% CI, 68.1%-76.7%) than men (61.9%; 95% CI, 57.0%-66.8%). The overall prevalence of obesity was 30.0% (95% CI, 26.8%-33.2%) based on BMI (> or = 30.0 kg/m(2)) and 44.7% (95% CI, 41.2%-48.1%) based on waist circumference (> or = 102 cm [men] and > or= 88 cm [women]). The prevalence of MetS as defined by the US National Cholesterol Education Program Adult Treatment Panel III 2005 criteria was 27.1% (95% CI, 22.7%-31.6%) in men and 28.3% (95% CI, 24.0%-32.6%) in women; based on International Diabetes Federation criteria, prevalences for men and women were 33.7% (95% CI, 29.0%-38.5%) and 30.1% (95% CI, 25.7%-34.5%), respectively. Prevalences of MetS, central (abdominal) obesity, hyperglycaemia, hypertension and hypertriglyceridaemia increased with age.

CONCLUSIONS: In rural Australia, prevalences of MetS, overweight and obesity are very high. Urgent population-wide action is required to tackle the problem.

Dynamic output feedback control of single-link flexible manipulators

This paper presents an efficient technique to design dynamic feedback control scheme for single-link flexible manipulators.  A linear model can be derived for the robotic system using the assumed-mode method.  Conventional techniques such as pole-placement or LQR require physical measurements of all systme states,  posing a stringent requirement for its implementation.  To overcome this problem, a low-order state functional observer is proposed here for reconstruction of the state feedback control action.  The observer design involves solving an optimisation problem with the objective to generate a feedback gain that is as close as possible to that of the required feedback controller.  A condition for robust stability of the closed-loop system under the observer-based control scheme is given.  The attractive features of the propsed technique are the resulted functional state observer is of a very low order and it requires only sensor measurements of only the output- the tip position of the arm.

On recovering the surface geometry of temple superstructures

The application of computational techniques to the analysis of heritage artifacts enables scholars to bring together diverse fragments of surviving evidence, construe "best-fit" strategies and unearth implicit or hidden relationships. This paper reports a hybrid approach for recovering the surface geometry of temples. The approach combines physical measurements, architectural photogrammetry and generative rules to create a parametric model of the surface. The computing of surface geometry is broken into three parts, a global model governing the overall form of the superstructure, local models governing the geometry of individual motifs and finally the global and local models are combined into a single geometry. In this paper, the technique for recovering surface geometry is applied to a tenth century stone superstructure: the temple of Ranakdevi at Wadhwan in Western India. The global model of the superstructure and the local model of one individual motif are presented.

Overweight, obesity and metabolic syndrome in rural south-eastern Australia

Aims & rationale/Objectives : To measure the prevalence of overweight, obesity and the metabolic syndrome in rural Australia.</p>

Methods :Two cross-sectional population surveys of chronic disease risk factors were carried out in rural Victoria (Corangamite Shire) and South Australia (Limestone Coast) in 2004-05. For both surveys, a stratified random sample of the population aged 25 to 74 years was drawn from the electoral roll. The surveys comprised a self-administered questionnaire, physical measurements and laboratory tests.</p>

Principal findings : A total of 841 individuals had complete questionnaire, health check and measured MetS data. The prevalence of overweight and obesity was 75% in males and 64.7% in females defined by BMI. Using waist circumference, the prevalence of overweight and obesity was higher in females (72.9%) than in males (63.2%). The overall prevalence of obesity of was 30.1% when defined by BMI, but 44.8% when defined by waist circumference. The prevalence of metabolic syndrome according to NCEP ATP III 2005 criteria was 29.0% in males and 28.5% in females. According to IDF criteria, the prevalence for males and females were 30.5% and 36.3%, respectively. The prevalence of metabolic syndrome and central (abdominal) obesity, hyperglycaemia, hypertension, and hypertriglyceridaemia increased with age.

Discussion : The prevalence of overweight and obesity, in particular central obesity, in rural Australia is very high as is the prevalence of metabolic syndrome.

Implications : Urgent population wide action is required to turn this trend around and regular monitoring of the trends in response to such action is essential.

Chronic disease risk factors in rural Australia : results from the Greater Green Triangle risk factor surveys

The aim of this article was to assess the level and prevalence of major chronic disease risk factors among rural adults. Two cross-sectional surveys were carried out in 2004 and 2005 in the southeast of South Australia and the southwest of Victoria. Altogether 891 randomly selected persons aged 25 to 74 years participated in the studies. Surveys included a self-administered questionnaire, physical measurements, and a venous blood specimen for lipid analyses. Two thirds of participants had cholesterol levels ≥5.0 mmol/L. The prevalence of high diastolic blood pressure (≥90 mm Hg) was 22% for men and 10% for women in southeast of South Australia, and less than 10% for both sexes in southwest of Victoria. Two thirds of participants were overweight or obese (body mass index ≥25 kg/m2). About 15% of men and slightly less women were daily smokers. The abnormal risk factor levels underline the need for targeted prevention activities in the Greater Green Triangle region. Continuing surveillance of levels and patterns of risk factors is fundamentally important for planning and evaluating preventive activities.

Greater Green Triangle Risk Factor Study

Very limited data exist for chronic diseases and their risk factors and behaviours in the Greater Green Triangle (GGT) region, or anywhere in rural Australia. To identify health problems and to target interventions and monitor their impact it is necessary to have objective data on chronic disease risk factors. Three cross-sectional surveys were carried out in 2004, 2005 and 2006 in the GGT region in the south east of Australia. In 2004 the survey area was the Limestone Coast in South Australia, 2005 the Corangamite Shire in the south west of Victoria, and in 2006 the Wimmera district in central western Victoria. The data comprises physical measurements and results of blood samples that were taken from patients by specially trained survey nurses. It also comprises data extracted from follow up survey questionnaires that were sent to each patient who returned them through the mail.

Healthy eating and obesity prevention for preschoolers : data collected from a randomised controlled trial

This data offers insights into child eating habits and daily dietary intake, duration of daily child physical and sedentary activities, parental knowledge of nutrition, child and parent Body Mass Index (BMI), parental behaviours and cognitions pertaining to feeding, eating and physical activity, parental concern for child weight, and child food neophobia.It includes survey data and physical measurements (height and weight) of participants.

Risk of cardiovascular disease and diabetes in a working population with sedentary occupations

OBJECTIVE: To assess the prevalence of risk factors and risk for cardiovascular disease and Type 2 diabetes in employees with sedentary occupations enrolled in a workplace health-promotion program. METHODS: Participants (n = 762) were recruited from ten Melbourne workplaces, participating in a physical activity program. Demographic, behavioral, biomedical, and physical measurements were collected. RESULTS: The majority of employees were not meeting recommended guidelines for physical activity (62%), fruit intake (70%), vegetable intake (86%), body mass index (58%), or waist circumference (53%). Most had intermediate (53%) or high (7%) risk of developing Type 2 diabetes. CONCLUSIONS: The majority of Australian adults in sedentary occupations were not meeting guidelines for a number of chronic disease risk factors and a substantial proportion were unaware of their increased risk. This study supports the potential of chronic disease risk factor detection and intervention programs in the workplace.

In vitro strain measurements in cerebral aneurysm models for cyber-physical diagnosis

Background: The development of new diagnostic technologies for cerebrovascular diseases requires an understanding of the mechanism behind the growth and rupture of cerebral aneurysms. To provide a comprehensive diagnosis and prognosis of this disease, it is desirable to evaluate wall shear stress, pressure, deformation and strain in the aneurysm region, based on information provided by medical imaging technologies. Methods: In this research, we propose a new cyber-physical system composed of in vitro dynamic strain experimental measurements and computational fluid dynamics (CFD) simulation for the diagnosis of cerebral aneurysms. A CFD simulation and a scaled-up membranous silicone model of a cerebral aneurysm were completed, based on patient-specific data recorded in August 2008. In vitro blood flow simulation was realized with the use of a specialized pump. A vision system was also developed to measure the strain at different regions on the model by way of pulsating blood flow circulating inside the model. Results: Experimental results show that distance and area strain maxima were larger near the aneurysm neck (0.042 and 0.052), followed by the aneurysm dome (0.023 and 0.04) and finally the main blood vessel section (0.01 and 0.014). These results were complemented by a CFD simulation for the addition of wall shear stress, oscillatory shear index and aneurysm formation index. Diagnosis results using imaging obtained in August 2008 are consistent with the monitored aneurysm growth in 2011. Conclusion: The presented study demonstrates a new experimental platform for measuring dynamic strain within cerebral aneurysms. This platform is also complemented by a CFD simulation for advanced diagnosis and prediction of the growth tendency of an aneurysm in endovascular surgery.