The effect of physical activity on psychological distress, cortisol and obesity: results of the farming fit intervention program

Background:Rural and regional Australians have a higher likelihood of mental illness throughout their lifetime than people living in major cities, although the underlying reasons are not yet well defined. Additionally, rural populations experience more lifestyle associated co-morbidities including obesity, diabetes and cardiovascular disease. Research conducted by the National Centre for Farmer Health between 2004 and 2009 revealed a positive correlation between obesity and psychological distress among the farming community. Chronic stress is known to overstimulate the regulation of the hypothalamic-pituitary-adrenal (HPA) axis and cortisol secretion which are associated with abdominal adiposity. Increasing physical activity may normalise cortisol secretion and thereby positively impact both physical and mental health. This paper assesses the effects of increasing physical activity on obesity, health behaviors and mental health in Victorian farming men and women.Methods:Farming Fit was a six month quasi-experimental (convenience sample) longitudinal design control-intervention study. Overweight or obese (BMI ?25?kg/m2) farm men (n?=?43) and women (n?=?29) were recruited with demographic, health behaviors, anthropometric, blood pressure and biochemistry data collected at baseline and at a six months. Salivary cortisol and depression anxiety stress scale results were collected at baseline, three and six months. The intervention group (n?=?37) received a personalized exercise program and regular phone coaching to promote physical activity.Results:The intervention group showed significant reductions in body weight and waist circumference. Results indicated that following the six month exercise program, the intervention group were 2.64???0.65?kg lighter (p?<?0.001), had reduced waist circumference by 2.01???0.86?cm (p?=?0.02) and BMI by 0.97???0.22?kg/m2 (p?<?0.001) relative to the control group.Conclusion:Increasing physical activity altered measures of obesity in farm men and women but did not affect mental health measures or cortisol secretion levels

The active living gender's gap challenge: 2013-2017 Eurobarometers physical inactivity data show constant higher prevalence in women with no progress towards global reduction goals

BACKGROUND: The World Health Organization (WHO) considers physical inactivity (PIA) as a critical noncommunicable factor for disease and mortality, affecting more women than men. In 2013, the WHO set a 10% reduction of the PIA prevalence, with the goal to be reached by 2025. Changes in the 2013-2017 period of physical inactivity prevalence in the 28 European Union (EU) countries were evaluated to track the progress in achieving WHO 2025 target. METHODS: In 2013 and 2017 EU Special Eurobarometers, the physical activity levels reported by the International Physical Activity Questionnaire of 53,607 adults were analyzed. Data were considered as a whole sample and country-by-country. A χ2 test was used to analyze the physical inactivity prevalence (%) between countries, analyzing women and men together and separately. Additionally, PIA prevalence was analyzed between years (2013-2017) for the overall EU sample and within-country using a Z-Score for two population proportions. RESULTS: The PIA prevalence increased between 2013 and 2017 for the overall EU sample (p <  0.001), and for women (p = 0.04) and men (p < 0.001) separately. Data showed a higher PIA prevalence in women versus men during both years (p <  0.001). When separately considering changes in PIA by gender, only Belgium's women and Luxembourg's men showed a reduction in PIA prevalence. Increases in PIA prevalence over time were observed in women from Austria, Croatia, Germany, Lithuania, Malta, Portugal, Romania, and Slovakia and in men from Bulgaria, Croatia, Czechia, Germany, Italy, Lithuania, Portugal, Romania, Slovakia, and Spain. CONCLUSIONS: PIA prevalence showed an overall increase across the EU and for both women and men between 2013 and 2017, with higher rates of PIA reported for women versus men during both years. PIA prevalence was reduced in only Belgium's women and Luxembourg's men. Our data indicate a limited gender-sensible approach while tacking PIA prevalence with no progress reaching global voluntary reductions of PIA for 2025

Higher plain water intake is associated with lower type 2 diabetes risk: a cross-sectional study in humans

The aim of this study was to investigate the relationship between plain water intake and type 2 diabetes (T2D) risk. It was hypothesized that higher plain water intake would be associated with a lower T2D risk score. One hundred thirty-eight adults from Southwest and Southeast England answered a cross-sectional online survey assessing T2D risk (using the Diabetes UK risk assessment); physical activity (using the short International Physical Activity Questionnaire); and consumption of fruits, vegetables, and beverages (using an adapted version of the Cambridge European Prospective Investigation into Cancer and Nutrition Food Frequency Questionnaire). There was a trend for differences in mean plain water intake between those stratified as having low, increased, moderate, or high risk of T2D; but these did not achieve significance (P = .084). However, plain water intake was significantly negatively correlated with T2D risk score (τ = -0°180, P = .005); and for every 240-mL cup of water consumed per day, T2D risk score was reduced by 0.72 point (range, 0-47) (B = -0.03, 95% confidence interval = -0.06 to -0.01, P = .014). The current study has provided preliminary results that are supported by theory; mechanisms need to be explored further to determine the true effect of plain water intake on disease risk. As increasing plain water intake is a simple and cost-effective dietary modification, its impact on T2D risk is important to investigate further in a randomized controlled trial. Overall, this study found that plain water intake had a significant negative correlation with T2D risk score; and regression analysis suggested that water may have a role in reducing T2D risk.</p

Multiple health risk behaviours and posttraumatic stress disorder symptoms among university students from 22 countries

The goal of the study was to investigate multiple health risk behaviours in relation to PTSD symptoms in a sample of university students from 22 countries. Using anonymous questionnaires, data were collected from 16804 undergraduate university students (mean age 20.8, SD = 2.8) from 23 universities in 22 countries in Africa, Asia, Caribbean and South America. Results indicate that overall, 20.9% of the university students screened positive for PTSD, and the overall mean of health risk behaviours (range from 1-10) was 2.7 for university students from all countries. Logistic regression adjusted for sociodemographic characteristics and social support found that each of the ten individual health risk behaviours was significantly associated with PTSD symptoms. In addition, logistic regression with multiple health risk behaviours found a steady increase from 1 (Odds Ratio (OR): 1.37, CI 1.05-1.77) to 5 or more (OR: 3.57, CI 2.75-4.64) health risk behaviours in association with PTSD symptoms, adjusted for age, gender, economic family background and social support.