Background And Aims: Food security is a complex and multidimensional issue that has been recognized as a serious public health problem all over the world for the past two decades. The present study was designed and conducted to determine the prevalence of food insecurity among college students at the Kashan University of Medical Sciences and some related factors including socioeconomic and mental health determinants.
Methods: The present study is a cross-sectional study conducted on 358 students who were currently studying at the Kashan University of Medical Sciences. The students who were pregnant or had a special diet to follow were excluded. Samples were selected by the systematic method. Food security was measured using United States Department of Agriculture. Food Frequency Questionnaire, 21-items Depression Anxiety Stress Scales, and Socioeconomic Questionnaire were used to investigate the nutrients intake, depression/anxiety status, and socioeconomic factors, respectively. Chi-square, independent -test, and logistic regression were used to analyze the data.
Results: Based on the findings of the present study, 16.8% of students experienced different levels of food insecurity, and 83.2% of participants were categorized as food secure. Gender, financial assistance, health insurance, depression, and students' occupation are associated with food insecurity ( < .05). Additionally, the results of the logistic regression analysis showed that depression (OR 1.04; 95% CI 1.01-1.07), and students' jobs (OR 0.43; 95% CI 0.23-0.80) have the greatest impact on students' food insecurity.
Conclusion: The findings of the present study show that economic factors and gender have a significant impact on students' food security. Moreover, the association of food insecurity with mental disorders such as depression was demonstrated in the current study. However, we could not detect any significant association between daily energy intake and macronutrients which indicates the requirement for more detailed studies.
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http://dx.doi.org/10.1002/hsr2.476 | DOI Listing |
J Agric Food Chem
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CAS and Shandong Province Key Laboratory of Experimental Marine Biology, Center for Ocean Mega-Science, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China.
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State Environmental Protection Key Lab of Environmental Risk Assessment and Control on Chemical Processes, School of Resources & Environmental Engineering, East China University of Science and Technology, Shanghai 200237, China.
To overcome the time-consuming off-site limitations in conventional pesticide detection, this contribution presents an in situ quantitative analysis detection strategy for pesticides on leaf surfaces using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry imaging technology. Taking fungicide metrafenone as a representative, we initially screened seven commonly used matrices, and identifying α-cyano-4-hydroxycinnamic acid as the most effective one in positive mode. Subsequently, coating the matrix using sublimation spraying method resulted in the highest mass intensity.
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School of Environment and Science, Griffith University, Southport, QLD, 4222, Australia.
The fungal disease chytridiomycosis (caused by Batrachochytrium dendrobatidis [Bd]) is a primary contributor to amphibian declines. The frog metamorphic stages, characterised by extensive physiological reorganisation and energy expenditure, have heightened susceptibility to Bd. However, little is known about how these metamorphic stages respond immunologically to Bd infection.
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