Severity of Food Insecurity among Australian University Students, Professional and Academic Staff.

Assessments of the severity of food insecurity within Australian university students are lacking, and the experience of food insecurity in Australian university staff is unknown. A cross-sectional online survey in March 2022 aimed to characterize the severity of food insecurity in students, professional and academic staff at the University of Tasmania (UTAS). The Household Food Security Survey Module six-item short form assessed food security status in addition to seven demographic and education characteristics for students and six demographic and employment characteristics for staff. Participants were categorized as having high, marginal, low, or very low food security. Multivariate binary logistic regression identified students and staff at higher risk of food insecurity. Among student respondents (n = 1257), the prevalence of food insecurity was 41.9% comprising 8.2% marginal, 16.5% low, and 17.3% very low food security. Younger, non-binary, first-year enrolled, on campus, and international students were at significantly higher risk of food insecurity. Among staff (n = 560), 16.3% were food insecure comprising 3.8% marginal, 5.5% low, and 7.0% very low food security. Professional staff, staff on casual contracts, and staff recently employed, were at significantly higher risk of food insecurity. Our findings suggest a high occurrence of food insecurity in UTAS students and staff, with a large proportion of food insecure staff and students experiencing very low food security. Our findings have implications for efforts towards reducing food insecurity at university campuses through a holistic and integrated approach, advocating for food systems that support healthy, sustainable, and equitable food procurement and provision for both university students and staff.

Prevalence and Socio-Demographic Predictors of Food Insecurity in Australia during the COVID-19 Pandemic.

The COVID-19 pandemic has exacerbated economic vulnerabilities and disrupted the Australian food supply, with potential implications for food insecurity. This study aims to describe the prevalence and socio-demographic associations of food insecurity in Tasmania, Australia, during the COVID-19 pandemic. A cross-sectional survey (deployed late May to early June 2020) incorporated the U.S. Household Food Security Survey Module: Six-Item Short Form, and fifteen demographic and COVID-related income questions. Survey data (n = 1170) were analyzed using univariate and multivariate binary logistic regression. The prevalence of food insecurity was 26%. The adjusted odds of food insecurity were higher among respondents with a disability, from a rural area, and living with dependents. Increasing age, a university education, and income above $80,000/year were protective against food insecurity. Food insecurity more than doubled with a loss of household income above 25% (Adjusted Odds Ratio (AOR): 2.02; 95% CI: 1.11, 3.71; p = 0.022), and the odds further increased with loss of income above 75% (AOR: 7.14; 95% CI: 2.01, 24.83; p = 0.002). Our results suggest that the prevalence of food insecurity may have increased during the COVID-19 pandemic, particularly among economically vulnerable households and people who lost income. Policies that support disadvantaged households and ensure adequate employment opportunities are important to support Australians throughout and post the COVID-19 pandemic.

Perceptions of illness as predictive factors for perceived stress in patients participating in a cardiac rehabilitation program.

Psychosocial risk factors, such as perceived stress, not only increase the risk of cardiovascular disease, but also act as barriers for treatment adherence and cardiac rehabilitation. In this study, we examined the predictive role of perceptions for illness to perceived stress in Iranian patients participating in a cardiac rehabilitation program. A cross-sectional study was conducted in 2017 to determine correlations of demographic variables and domains of illness perception with perceived stress, and to develop a predictive model for perceived stress. In total, 150 patients with cardiovascular disease, who were admitted to a cardiac rehabilitation center, completed the questionnaires. (i) demographic and health-related characteristics; (ii) the Perceived Stress Scale-14; and (iii) the Brief Illness Perception Questionnaire. The mean perceived stress was 16.2 (8.4), and five illness perception subscales - timeline, personal control, treatment control, understanding and emotional response - were associated with increased perceived stress. Variables in the multi-variate predictive model accounted for 48% of the total variance in perceived stress. The results demonstrated the value of assessing and managing the patients' perceptions of illness to reduce their perceived stress, which could support adherence to cardiac rehabilitation programs.