Background: This study was conducted to evaluate the eating attitudes and behaviors, the susceptibility to Orthorexia nervosa and obsessive attitudes of the students who were taking undergraduate education in the field of health and the students who were not taking undergraduate education in the field of health at the time of the study. Methods: This cross-sectional study was conducted at Akdeniz University with randomly selected 304 students who were studying in the Faculty of Medicine, Nursing Law and Communication, Antalya, Turkey. Data, sociodemographic features of the students were collected using the questionnaire form consisting of Eating Attitude Test (EAT-40), The Orthorexia Nervosa Evaluation Scale (ORTO-15) and Maudsley Obsessive-Compulsive Inventory (MOCI). Results: 61.5% of the students were female. 51.9% of them were studying in the health field, while 48.1% of them were studying in other fields. At the beginning of the study, the use of ORTO-15 scale was planned to evaluate the students' orthorexic behaviors, but they were evaluated with the ORTO-11 scale because of the validity and resusceptibility of the ORTO-15 scale were found as too low. The incidence of orthorexic behavior was higher in students who were not studying in the field of health for both ORTO-15 and ORTO-11 scales. Conclusion: It is necessary to acquire healthy eating habits for university students by practical nutrition education given informal and non-formal education institutions, thus their quality of life can be increased.
Purpose This study aimed to determine the factors affecting the ORTO-R scores in individuals with T2DM and to investigate their effect on diabetes self-management. Methods The study included 373 individuals with type 2 diabetes between the ages of 18–65 who applied to Akdeniz University Hospital Endocrinology and Metabolic Diseases Polyclinic between January and May 2022. A questionnaire including sociodemographic data, information about diabetes, and nutritional habits, and the ORTO-R and Type 2 Diabetes Self-Management Scales were used to collect data. Linear regression analysis was performed to determine the factors affecting ORTO-R. Results The linear regression analysis showed that age, gender, education level, and duration of diabetes affected ORTO-R scores in patients with type 2 diabetes. Body mass index, comorbidities (cardiovascular diseases, kidney diseases and hypertension), diabetes-related complications, diabetes treatment method and dieting had no significant contribution to the model (p > 0.05). We also found that education level, comorbidities, diabetes-related complications, diabetes treatment method, dieting, and BMI can affect diabetes self-management. Conclusion It should be kept in mind that type 2 diabetes are at risk of orthorexia nervosa (ON) in terms of various aspects such as age, gender, education level and duration of diabetes. Since the factors affecting the risk of ON and the factors affecting diabetes self-management are intertwined, orthorexic tendencies should be kept under control while trying to increase self-management in these patients. In this respect, developing individual recommendations according to the psychosocial characteristics of patients may be an effective approach. Level of evidence Level V, cross-sectional study.
Purpose This study was conducted to investigate the relationship between the presence of orthorexia nervosa and diabetes self-management in individuals with type 2 diabetes. Methods The study included 373 individuals with type 2 diabetes between the ages of 18–65 who applied to Akdeniz University Hospital Endocrinology and Metabolic Diseases Polyclinic between January 2022 and May 2022. In the study, a questionnaire including sociodemographic data, information about diabetes, nutritional habits, ORTO-R and "Type 2 Diabetes Self-Management Scale" was used as a data collection tool. In addition, height and weight measurements were taken and body mass index (BMI) were calculated. Biochemical parameters were evaluated by accessing from the hospital system. Results 46.1% of the participants were men, 53.9% were women and mean age was 57.5 ± 9.6 years. Low diabetes self-management is associated with an increase in fasting glucose (p < 0,05), HbA1c (p < 0,05), BMI (p < 0,01). ORTO-R scores were significantly higher in the group with low diabetes self-management (p < 0,001). Education level, presence of non-diabetic disease and diabetes-related complication, treatment method are the factors affecting diabetes self-management and ON. While medical nutrition therapy provides better diabetes self-management, it increases the susceptibility to ON. Conclusion ON is common in people with type 2 diabetes. Although medical nutrition therapy provides better self-management, it may increase susceptibility to ON. Level of evidence: Level V, cross-sectional study
Background and Aims: Ulcerative colitis is a chronic inflammatory disease which is affecting the quality of life, workforce and nutrition of patients negatively in the active periods due to its symptoms. This study aims to explore how synbiotic treatment affects the quality of life in patients with mild-to-moderate ulcerative colitis. Methods: Forty ulcerative colitis patients with mild-to-moderate activity were enrolled in the study. Patients were split into two even randomized groups as synbiotic (20 patients) and control (20 patients). The synbiotic group received synbiotic therapy and the control group received placebo for 8 weeks. Both groups were compared at the start and the end of therapy according to the quality of life scores. Quality of life was determined using a short form-36 (SF-36) questionnaire. Results: An increase in mean SF-36 scores were found in both groups at the end of the study. Altough this increase was higher in patients received synbiotic therapy, the difference was not statistically significant (p > 0.05). SF-36 scores were higher in patients with mild activity or those in remission in both groups. Conclusion: Synbiotic use provides an increase in the SF-36 score, however, this increase is not statistically significant.
Objectives: Schizophrenia is a disorder with different clinical features. Schizophrenia may start insidiously and slow and go on for many years. But the negative symptoms and deficiency symptoms leading to social deterioration may come to the forefront. All these factors are taken into consideration, our aim in this study was to examine the demographic and clinical effects of symptoms on schizophrenic patients who have not yet been treated. Methods: Eighty patients who were admitted to the Ankara Numune Training and Research Hospital Psychiatry Outpatient Clinic, who did not have any previous antipsychotic medications and who did not use medications at the time of admission and who met the criteria for schizophrenia according to the DSM-5. Sociodemografic Data Form and the PANSS scale were used to assess the clinical status of the patients. Results: When the demographic characteristics of the participants were examined, 33 (41.2%) were female and 47 (58.8%) were male. The mean age of the patients was 31.08±9.37; mean education year was 8.76±3.53. When the patients participating in the study were evaluated in terms of gender, marital status, working status, smoking status, and family history, no statistical differences were found between the groups in terms of their PANSS scores (p>0.05). However, the PANSS Negative subscale scores (p<.001), general psychopathology scores (p=0.006), and total PANSS scores (p=0.003) were statistically significantly different between the three groups when the patients were untreated for 0-1 years, 1-5 years, and 5 years. Conclusions: In this study none of the sociodemographic factors we assessed had any effect on symptom severity. However, there are different results in the literature regarding gender, age, marital status and working status. Besides, it has been determined that the most important clinical manifestation in our study is the period without treatment. Further studies should identify demographic and clinical features that affect schizophrenic symptom changes.
Background Early detection of children at risk of developing malnutrition during hospitalization prevents the development of complications. This study aims to determine the malnutrition risk of pediatric inpatients by using three different nutrition screening tools and to evaluate the reliability/sensitivity of the screening tools. Methods This cross‐sectional study included 176 children who were 1–16 years of age and were admitted to the pediatrics service of a second‐line hospital. Body weight and height were used to evaluate the nutrition status of children. Age‐ and sex‐specific z‐score values for height for age (HFA), weight for age (WFA), and body mass index for age (BFA) were indicators of malnutrition. The Screening Tool for Risk of Impaired Nutritional Status and Growth (STRONGkids), Pediatric Yorkhill Malnutrition Score (PYMS), and Pediatric Nutrition Screening Tool (PNST) were used under the responsibility of pediatricians and dietitians to evaluate the risk of malnutrition in children. Results At admission, according to the HFA, BFA, and WFA SD scores (SDSs), the incidence of malnutrition in children was 8.5%, 14.8%, and 6.3%, respectively. Three screening tools determined that WFA SDSs were significantly higher in children without malnutrition risk than in those at risk of malnutrition (P < 0.05). PYMS revealed a relatively higher sensitivity of 90.9% and 84.6% for WFA and BFA, respectively, and PNST revealed a relatively higher sensitivity of 88.9% for HFA. Conclusions PYMS and PNST are suitable for use in malnutrition risk assessment in pediatric inpatients because of the screening tools’ high sensitivity.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.