Eating Attitudes, Stress, Anxiety, and Depression in Dietetic Students and Association with Body Mass Index and Body Fat Percent: A Cross-Sectional Study.

University students face challenges impacting psychology and dietary choices. The present work examined the association between eating attitudes, stress, anxiety, and depression to body mass index (BMI) and body fat percentage in Dietetics students. Respondents completed the Eating Attitudes Test-26 (EAT-26), the Depression Anxiety Stress Scales (DASS), a validated Food Frequency Questionnaire, and the Hellenic Physical Activity Questionnaire (HPAQ). Anthropometry and a bioimpedance analysis were performed. The EAT-26 score was 11 (8-16) and the DASS score was 20 (11-36) (medians and interquartile ranges). Disordered eating was detected in 20% of men and 15% of women. Depressive symptomatology was detected in 30% of males and 23% of females, anxiety in 35% of males and 40% of females, and stress in 29% of males and 35% of females. EAT-26 and DASS scores were highly correlated (r = 0. 0.221, p = 0.001). The EAT-26 oral control subscale (B = 0.430, SE = 0.184, p = 0.026) was positively correlated with BMI in men in the models, adjusted for age, physical activity, and Mediterranean Diet Score, while no association was documented for % body fat. The DASS depression score was not related to BMI in multi-adjusted models. In conclusion, disordered eating, depression, stress, and anxiety are present in this sample of university students. The relationship between disordered eating and BMI needs consideration in programs targeting overweight or underweight in Dietetics students.

Mobile App Interventions for Parkinson's Disease, Multiple Sclerosis and Stroke: A Systematic Literature Review.

Central nervous system diseases (CNSDs) lead to significant disability worldwide. Mobile app interventions have recently shown the potential to facilitate monitoring and medical management of patients with CNSDs. In this direction, the characteristics of the mobile apps used in research studies and their level of clinical effectiveness need to be explored in order to advance the multidisciplinary research required in the field of mobile app interventions for CNSDs. A systematic review of mobile app interventions for three major CNSDs, i.e., Parkinson's disease (PD), multiple sclerosis (MS), and stroke, which impose significant burden on people and health care systems around the globe, is presented. A literature search in the bibliographic databases of PubMed and Scopus was performed. Identified studies were assessed in terms of quality, and synthesized according to target disease, mobile app characteristics, study design and outcomes. Overall, 21 studies were included in the review. A total of 3 studies targeted PD (14%), 4 studies targeted MS (19%), and 14 studies targeted stroke (67%). Most studies presented a weak-to-moderate methodological quality. Study samples were small, with 15 studies (71%) including less than 50 participants, and only 4 studies (19%) reporting a study duration of 6 months or more. The majority of the mobile apps focused on exercise and physical rehabilitation. In total, 16 studies (76%) reported positive outcomes related to physical activity and motor function, cognition, quality of life, and education, whereas 5 studies (24%) clearly reported no difference compared to usual care. Mobile app interventions are promising to improve outcomes concerning patient's physical activity, motor ability, cognition, quality of life and education for patients with PD, MS, and Stroke. However, rigorous studies are required to demonstrate robust evidence of their clinical effectiveness.

Micronutrient dietary intakes and their food sources in adults: the Hellenic National Nutrition and Health Survey (HNNHS).

BACKGROUND: The present study aimed to assess micronutrient intake among Greek adults and to identify the main food sources that contribute to it. METHODS: Food consumption data from 2389 participants in the Hellenic National Nutrition and Health Survey (HNNHS), collected with 24-h recalls, was used to calculate micronutrient intakes. Usual nutrient intake was estimated according to the National Cancer Institute method. Nutrient adequacy was estimated using the estimated average requirement (EAR) cut-point method, when available, or adequate intake otherwise. The probability approach was used to determine iron intake adequacy in females of reproductive age. Food group contribution for each nutrient assessed was derived to identify their main food sources. RESULTS: Almost all individuals had vitamin D intake below EAR, whereas vitamins A, E, K and C, as well as potassium intake, were also insufficient in a considerable percentage of the population (>70% in most age groups). Calcium intake was substantially below the EAR for females aged >50 years and males >70 years; the same for magnesium in males >70 years. Furthermore, 50% of females, including those of reproductive age, had intake of folate below EAR. More than 50% of the population (to 79%) exceeded the upper tolerable limit for sodium (2300 mg day-1 ). Food contribution analysis revealed that most vitamins were derived from low-quality foods (i.e. fast-food). CONCLUSIONS: A significant proportion of adults residing in Greece have low nutrient intake and poor food selections. These results provide guidance to public health policy makers for developing strategies to improve the dietary quality in Greece.