Impact of Magnesium and Ferritin Deficiency on Depression Among Adolescent Students.

BACKGROUND: Depression is considered the fourth-leading cause of health problems. It is the fourth-leading cause of health problems and disability, which causes 16% of the worldwide burden of disease and injury among adolescents. OBJECTIVE: The aim of the present study was to evaluate the possible association of magnesium (Mg) and ferritin deficiency with depression in adolescent students. PATIENTS AND METHODS: This case control study in secondary schools at Al-Ghanayem discrete. The total number included was 358 students. All were screened for depression by the Arabic version of the Beck questionnaire. The students who had positive score was selected as cases 86 and a matched same number of students with negative score was selected as controls. Serum level of ferritin and magnesium was measured in the 2 groups. RESULTS: There was statistically significant difference between the studied groups when comparing depression grade with each of ferritin and Mg Depressed group cases had lower mean values of ferritin and Mg. The ferritin cut-off level for the prediction of depression was (35.5 µg/dL, which had a sensitivity of 74.4% and a specificity of 75.6%. The magnesium cut-off levels for the prediction of depression were1.95 mg/dL and 104.5 ng/dL which had a sensitivity of 70% and 64%, respectively. CONCLUSION: There was a statistically significant negative correlation between depression severity and each of socio-economic status ferritin and Mg. Each of ferritin and Mg were predictors for depression.

Effect of concept mapping model on critical thinking skills of family medicine residents: A randomized controlled trial.

BACKGROUND: The cognitive process of critical thinking (CT) involves the examination of the existing reasons and an analysis of the information to draw conclusions and make decisions. The goal of the study was to determine how concept mapping (CM) technique affects family medicine residents' capacity for critical thought. MATERIALS AND METHODS: We conducted a randomized controlled trial among family medicine residents aged between 26 and 28 years. A total of 100 residents were involved; over the course of 3 months, 50 residents were exposed to the conventional teaching model and 50 residents to the CM model. Data was collected using California CT skills test (CCTST) modified Arabic version and a self-administered questionnaire. The primary intervention was teaching method, experimental group received CM lessons while control group had conventional lessons. First session was carried out at baseline and second session one week after baseline, whereas 3rd, 4th, and 5th sessions conducted at end of 1st, 2nd, 3rd months, respectively. Both groups were assessed at baseline and at end of 3rd month. Both groups were reassessed at end of three months. Quantitative data was presented as mean and SD, whereas frequencies and percentages used for qualitative data. Pre- and post-intervention CT scores for study groups were compared using t-test or Mann-Whitney U test, as appropriate. Groups were compared on pre- and post-intervention CT grades using Chi-square test. RESULTS: Vast majority (98%) of participants were females, nearly half were 27 year old, and belonged primarily to urban areas (76%). There was no difference in the CT scores between the groups at baseline. The post-intervention CT scores for study group were statistically significantly higher (18.36±2.68) compared to control group (15.94±1.94) (P = 0.001). CONCLUSION: The CM approach was superior to the conventional teaching approach in terms of improving CT.

Accuracy of the Traditional COVID-19 Phone Triaging System and Phone Triage-Driven Deep Learning Model.

OBJECTIVES: During the COVID-19 pandemic, a quick and reliable phone-triage system is critical for early care and efficient distribution of hospital resources. The study aimed to assess the accuracy of the traditional phone-triage system and phone triage-driven deep learning model in the prediction of positive COVID-19 patients. SETTING: This is a retrospective study conducted at the family medicine department, Cairo University. METHODS: The study included a dataset of 943 suspected COVID-19 patients from the phone triage during the first wave of the pandemic. The accuracy of the phone triaging system was assessed. PCR-dependent and phone triage-driven deep learning model for automated classifications of natural human responses was conducted. RESULTS: Based on the RT-PCR results, we found that myalgia, fever, and contact with a case with respiratory symptoms had the highest sensitivity among the symptoms/ risk factors that were asked during the phone calls (86.3%, 77.5%, and 75.1%, respectively). While immunodeficiency, smoking, and loss of smell or taste had the highest specificity (96.9%, 83.6%, and 74.0%, respectively). The positive predictive value (PPV) of phone triage was 48.4%. The classification accuracy achieved by the deep learning model was 66%, while the PPV was 70.5%. CONCLUSION: Phone triage and deep learning models are feasible and convenient tools for screening COVID-19 patients. Using the deep learning models for symptoms screening will help to provide the proper medical care as early as possible for those at a higher risk of developing severe illness paving the way for a more efficient allocation of the scanty health resources.

Effect of the Monthly Injectable Combined Contraceptives versus Oral Contraceptive Pills on Mood.

BACKGROUND: Contraceptive agents are widely used by women of reproductive age, and resulting depression is the most common side effect of this usage. This study aimed to study the effect of monthly injectable combined contraceptives versus that of combined oral contraceptive pills (COC) on patients' mood. METHODS: A prospective cohort study was conducted on 124 females aged 18-45 years attending the Kom-Ashfeen Family Medicine Unit, El-Kalyubia, Egypt. Participants were divided into three groups according to their choice: group A included 44 participants who received monthly combined injectable contraceptives (CIC); group B included 40 participants who took COC; and group C included 40 participants who used the copper intrauterine device (IUD). The Patient Health Questionnaire-9 (PHQ-9) score was assessed at the beginning of the study and after 6 months of follow-up. RESULTS: After 6 months of follow-up, there were mild but statistically significant increases in the PHQ-9 score in groups A and B, with group A (CIC users) showing the highest increase. Approximately 34.1%, 27.5%, and 15% of CIC, COC, and IUD users, respectively, moved from the non-depression stage to mild depression after 6 months; this change was statistically significant in groups A and B only. CONCLUSION: Monthly injectable combined contraceptives and oral contraceptive pills were associated with an increased risk of developing mild depression; this risk was higher in users of CICs, although the difference was not statistically significant. Thus, it is crucial to counsel patients about this possible risk and to follow them up. However, further studies are required to confirm our results.