scholarly journals Depression, Occupational Anxiety, and Related Factors in Medical Students

2022 ◽  
Vol 2 (3) ◽  
pp. 161-167
Author(s):  
Meltem Gürü ◽  
Gül Ferda Cengiz
Keyword(s):  
Medical Students ◽  
Related Factors

scholarly journals PERCEPTION OF STUDENTS AND TEACHERS REGARDING ACADEMIC FAILURE OF UNDERGRADUATE MEDICAL STUDENTS IN LAHORE, PAKISTAN: A QUALITATIVE EXPLORATORY INVESTIGATION

2020 ◽  
Vol 18 (2) ◽  
pp. 54-58
Author(s):  
Gul Muhammad Shaikh ◽  
Rabia Khan ◽  
Rehan Khan ◽  
Rahila Yasmeen
Keyword(s):  
Medical Students ◽  
Attribution Theory ◽  
Academic Failure ◽  
Undergraduate Medical Students ◽  
Psychological Disturbance ◽  
Related Factors ◽  
Face To Face ◽  
Medical Institutions ◽  
University College ◽  
Open Coding

Background: Academic failure adds extra pressure to emotional intelligence of students and this may lead to psychological disturbance. The objective of this study was to explore perception of students and teachers regarding academic failure of undergraduate medical students in Lahore, Pakistan. Materials & Methods: This qualitative exploratory study was conducted at Department of Medical Education, University College of Medicine and Dentistry, University of Lahore, Pakistan from January 2018 to October 2018. Sample included nine MBBS students who took their last examination in year 2017 and five teachers, all from University College of Medicine and Dentistry, University of Lahore. Sampling was purposive. These nine students included five who graduated without failure and four who experienced two/more failures. Medical students were interviewed via two focus groups, whereas face to face semi-structured, audio-recorded interviews were done for teachers. Interview questionnaires were designed on basis of attribution theory. The fundamental question of study was “What are the reasons behind undergraduate medical students’ failure in annual examination?” with five more questions. The interviews were transcribed in English and sent back to participants for member checking. The interviews were organized in ATLAS.ti software for thematic analysis based on Weiner’s Attribution Theory. Open coding was done after familiarization of data, leading to formation of categories, sub-themes and themes related to our conceptual framework. Results: 160 open codes were condensed to 35 axial codes leading to two themes. Main reasons for students’ failure in examinations perceived by both students and teachers were lack of ability, lack of effort and lack of motivation. Additionally, the students attributed bad luck to academic failure. Other factors included were teachers’ related factors, curriculum related factors and negative students’ attitude. Conclusion: Medical institutions must take into account reasons for academic failure among medical students and address those issues to improve their performance.

scholarly journals Factors Associated with Attitudes towards the Preferred Method of Delivery in Medical and Non-Medical Female Students

2020 ◽  
pp. 62-71
Author(s):  
Sakineh Abdi ◽  
Fatemeh Jafarzadeh- Kenarsari ◽  
Zahra Bostani- Khalesi ◽  
Ehsan Kazemnejad- Leili
Keyword(s):  
Medical Students ◽  
Positive Attitude ◽  
Mode Of Delivery ◽  
Female Students ◽  
Normal Vaginal Delivery ◽  
Attitude Score ◽  
Related Factors ◽  
Cross Sectional ◽  
Exact Test ◽  
Medical Undergraduate

Aims: In order to reduce the rate of cesarean section (CS), it is necessary to be aware of attitudes of women to predict their preferred method of delivery and its related factors. This study aimed to compare attitudes of medical and non-medical female students regarding the preferred method of delivery and its related factors in 2019. Study Design:  cross sectional-analytical study. Place and Duration of Study: Medical and non-medical undergraduate female students of Guilan, Rasht, Iran, were randomly selected between October 2019 and November 2019. Methodology: We included 1040 students (873 non-medical, 167 medical students; mean age 20.90 ± 1.54 years). The data were collected by a researcher-made questionnaire and analyzed using descriptive and inferential (Chi Square, Fisher's exact test, Kruskal–Wallis, Mann-Whitney and multiple regression) statistics (P =.05). Results: In general, 71.50% of subjects in both groups had a neutral attitude. For group comparison, the medical and non-medical groups (24% and 12.40%) had a positive attitude towards CS and (11.40% and 14.80%) had a positive attitude towards normal vaginal delivery (NVD), respectively. Attitude score according to the university (P =.002), the school (P =.002), the academic year (P =.001), age (P =.031), ethnicity (P =.001), child rank (P =.042), father education (P =.007), mother education (P =.006), childbirth method of the mothers in other children (P =.007), and delivery method of the relatives (P =.05) was significant. Conclusion: Although non-medical students had more possitive attitude towards NVD, in general, in both groups, the majority of them had a neutral attitude towards the mode of delivery. It seems necessary to develop the educational-counseling interventions to form a positive attitude towards NVD in all students and youngs.

Application of latent class analysis in assessing the mental health of medical students during the COVID-19 Epidemic (Preprint)

2020 ◽  
Author(s):  
Fei Wang
Keyword(s):  
Mental Health ◽  
Medical Students ◽  
High Risk ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Risk Group ◽  
Multinomial Logistic Regression ◽  
High Risk Group ◽  
Class Analysis ◽  
Related Factors

BACKGROUND The novel coronavirus disease 2019 (COVID-19) is a global public health emergency that has caused worldwide concern. The mental health of medical students under the COVID-19 epidemic has attracted much attention. OBJECTIVE This study aims to identify subgroups of medical students based on mental health status and explore the influencing factors during the COVID-19 epidemic in China. METHODS A total of 29,663 medical students were recruited during the epidemic of COVID-19 in China. Latent class analysis of the mental health of medical students was performed using M-plus software to identify subtypes of medical students. The latent class subtypes were compared using the chi-square test. Multinomial logistic regression was used to examine associations between identified classes and related factors. RESULTS In this study, three distinct subgroups were identified, namely, the high-risk group, the low-risk group and the normal group. Therefore, medical students can be divided into three latent classes, and the number of students in each class is 4325, 9321 and 16,017. The multinomial logistic regression results showed that compared with the normal group, the factors influencing mental health in the high-risk group were insomnia, perceived stress, family psychiatric disorders, fear of being infected, drinking, individual psychiatric disorders, sex, educational level and knowledge of COVID-19, according to the intensity of influence from high to low. CONCLUSIONS Our findings suggested that latent class analysis can be used to categorize different medical students according to their mental health subgroup during the outbreak of COVID-19. The main factors influencing the high-risk group and low-risk group are basic demographic characteristics, disease history, COVID-19 related factors and behavioral lifestyle, among which insomnia and perceived stress have the greatest impact. School administrative departments could utilize more specific measures on the basis of different subgroups, and provide targeted measures.

Facility Related factors Affecting Academic Performance of Medical Student in Human Anatomy in Bahir Dar University, Northwest Ethiopia

2019 ◽  
Author(s):  
Shibabaw Tedla Tiruneh ◽  
Belta Asnak Abegaz ◽  
Abebe Ayalew Bekel ◽  
Yibeltal Wubale Adamu ◽  
Mengistu Desalegn Kiros ◽  
...  
Keyword(s):  
Academic Performance ◽  
Medical Students ◽  
Internet Access ◽  
Human Anatomy ◽  
Related Factors ◽  
Factors Affecting ◽  
Large Class Size ◽  
Study Participants ◽  
College Library ◽  
Anatomy Teaching

Abstract Objective: The objective of this study was to identify college facility related factors affecting medical students’ academic performance in human anatomy course. Result: A total of 120 study participants were included in the study. Off which 81 (67.5%) were male while 39 (32.5%) were females. Dormitory crowdedness (AOR 3.16 (95% CI: 2.01-.83, p= 0.11), large class size (AOR = 2.36; 95%CI: 1.11- 4.64 p = 0.005), inadequate classroom facilities (AOR = 1.56; 95%CI: 1.51-4.91, p = 0.001), low internet access (AOR = 1.99; 95%CI: 1.07-3.22, p = 0.015) and inadequate anatomy teaching model (AOR = 2.63; 95%CI: 1.17 - 6.12, p =0.003) were significantly associated with low performance in human anatomy course exam. However, college library (AOR = 0.23; 95%CI: 0.1-0.48 p = 0.061) did not showed significant association with academic performance (p = 0.61). As a conclusion, dormitory crowdedness, large class size, inadequate classroom facilities, low internet access and inadequate anatomy-teaching models were independent factors, which affect performance of medical students in human anatomy course exam. However, there was no significant association between college library and performance of study participants in human anatomy course exam.

Weight status and related factors in medical students of King Khalid University, Saudi Arabia

2018 ◽  
Vol 6 (1) ◽  
pp. 35
Author(s):  
Ali Al Bshabshe ◽  
MushababA Al-Ghamdi ◽  
MasoudI Elkhalifa ◽  
MohammadT Ahmad ◽  
IbrahimA Eljack ◽  
...  
Keyword(s):  
Saudi Arabia ◽  
Medical Students ◽  
Weight Status ◽  
Related Factors

Workplace violence against physicians and medical students in west part of Iran

2019 ◽  
Vol 12 (2) ◽  
pp. 116-123 ◽  
Author(s):  
Abdorrahim Afkhamzadeh ◽  
Amjad Mohamadi Bolbanabad ◽  
Bayan Moloudi ◽  
Hossein Safari ◽  
Bakhtiar Piroozi
Keyword(s):  
Logistic Regression ◽  
Medical Students ◽  
Workplace Violence ◽  
Physical Violence ◽  
Significant Risk ◽  
Verbal Abuse ◽  
Teaching Hospitals ◽  
Related Factors ◽  
Cross Sectional ◽  
Content Type

Purpose The purpose of this paper is to survey the prevalence of exposure to workplace violence (WPV) including physical violence, verbal abuse, bullying as well as its related factors among physicians and medical students attending teaching hospitals of Kurdistan University of Medical Sciences (KUMS). Design/methodology/approach This is a descriptive analytic as well as a cross-sectional study which was carried out on all physicians (general and specialists) and medical students attending teaching hospitals of KUMS in 2014. Overall, 400 participated in this study and data were gathered using a standard questionnaire. Then, data were analyzed using SPSS 20, χ2 and Fisher’s exact tests as well as univariate and adjusted logistic regression. Findings The prevalence of physical violence, verbal abuse and bullying among medical students was reported 4.5, 59 and 0.8 percent, respectively. In addition, the prevalence of these violence among general practitioners was 6.9, 72.4 and 0 percent, respectively. Moreover, 11.5, 42.3 and 3.8 percent of specialists had experienced physical violence, verbal abuse and bullying, respectively. Patients and their relatives were the main sources of the violence. Based on the results of multivariate logistic regression, male sex (AOR=2.60, CI: 1.56–4.32) and having shift work (AOR=3.13, CI: 1.67–5.84) were the most significant risk factors for total WPV. Originality/value The WPV experienced by physicians and medical students attending teaching hospitals of MUK is high. Health sector authorities should develop and implement proper strategies and interventions aiming at reducing or preventing from incidence of WPV.

Burnout, depression and anxiety in preclinical medical students: a cross-sectional survey

2015 ◽  
Vol 29 (3) ◽  
Author(s):  
Lennard T. van Venrooij ◽  
Pieter C. Barnhoorn ◽  
Erik J. Giltay ◽  
Martijn S. van Noorden
Keyword(s):  
Medical Students ◽  
Medical Center ◽  
Maslach Burnout Inventory ◽  
Self Report ◽  
Depression And Anxiety ◽  
Affective States ◽  
Cross Sectional Survey ◽  
Related Factors ◽  
Need For Recovery ◽  
Preclinical Medical Students

Abstract Objective: The purpose of this study was to assess the prevalences and correlates of adverse affective states (burnout-, depression- and anxiety-related symptoms) among preclinical medical students. Methods: Self-report questionnaires were sent to all preclinical medical students of Leiden University Medical Center (n=1311). Burnout-related symptoms were measured using the Maslach Burnout Inventory-General Survey (MBI-GS), depression and anxiety-related symptoms and vitality using the Symptom Questionnaire-48 (SQ-48). Furthermore, duration of sleep, quality of life (SF-36), need for recovery, happiness and dispositional optimism were assessed and analysed in relation to affective symptoms using regression analysis. Results: Among the 433 responders (response rate=33.0%), prevalences of self-reported burnout-, depression- and anxiety-related symptoms were 46.0% (n=199), 27.0% (n=117) and 29.1% (n=126), respectively. Independent correlates for burnout-related symptoms were <6 h sleep per night (p=0.02), low happiness (p<0.001) and a high need for recovery (p<0.001). Independent correlates for both depression- and anxiety-related symptoms were low optimism (p<0.001; p<0.001, respectively), low happiness (p<0.001; p=0.001, respectively) and a high need for recovery (p=0.03; p<0.001, respectively). Conclusion: Prevalences for adverse affective states were high among preclinical medical students and mainly associated with personality trait-related factors and need for recovery, rather than work-related factors. These findings suggest that being a medical student increases one’s risk to adverse affective states, and should inspire preventative initiatives.

scholarly journals Application of Latent Class Analysis in Assessing the Mental Health of Medical Students During the COVID-19 Epidemic

2021 ◽  
Author(s):  
Zhuang Liu ◽  
Yue Zhang ◽  
Ran Zhang ◽  
Rongxun Liu ◽  
Lijuan Liang ◽  
...  
Keyword(s):  
Mental Health ◽  
Medical Students ◽  
High Risk ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Risk Group ◽  
Multinomial Logistic Regression ◽  
High Risk Group ◽  
Class Analysis ◽  
Related Factors

Abstract Background: The novel coronavirus disease 2019 (COVID-19) is a global public health emergency that has caused worldwide concern. The mental health of medical students under the COVID-19 epidemic has attracted much attention. This study aims to identify subgroups of medical students based on mental health status and explore the influencing factors during the COVID-19 epidemic in China. Methods: A total of 29,663 medical students were recruited during the epidemic of COVID-19 in China. Latent class analysis of the mental health of medical students was performed using M-plus software to identify subtypes of medical students. The latent class subtypes were compared using the chi-square test. Multinomial logistic regression was used to examine associations between identified classes and related factors. Results: In this study, three distinct subgroups were identified, namely, the high-risk group, the low-risk group and the normal group. Therefore, medical students can be divided into three latent classes, and the number of students in each class is 4325, 9321 and 16,017. The multinomial logistic regression results showed that compared with the normal group, the factors influencing mental health in the high-risk group were insomnia, perceived stress, family psychiatric disorders, fear of being infected, drinking, individual psychiatric disorders, sex, educational level and knowledge of COVID-19, according to the intensity of influence from high to low. Conclusions: Our findings suggested that latent class analysis can be used to categorize different medical students according to their mental health subgroup during the outbreak of COVID-19. The main factors influencing the high-risk group and low-risk group are basic demographic characteristics, disease history, COVID-19 related factors and behavioral lifestyle, among which insomnia and perceived stress have the greatest impact. School administrative departments could utilize more specific measures on the basis of different subgroups, and provide targeted measures.

scholarly journals Assessing condition academic self-efficacy and related factors among medical students

2019 ◽  
Vol 9 (2) ◽  
pp. 143
Author(s):  
Hamid Salehiniya ◽  
Aida Abusalehi ◽  
Beyrambibi Bayat ◽  
NedaAhmadzadeh Tori
Keyword(s):  
Medical Students ◽  
Self Efficacy ◽  
Related Factors ◽  
Academic Self Efficacy

scholarly journals The Frequency and Related Factors of Internet Addiction in Externship and Internship Students of Kerman University of Medical Sciences, 2018

2021 ◽  
Author(s):  
Mina Danaei ◽  
Ali Akbar Rohani ◽  
Ali Sajadi ◽  
Mohsen Momeni
Keyword(s):  
Medical Students ◽  
Internet Addiction ◽  
Cross Sectional Study ◽  
The Internet ◽  
Medical Sciences ◽  
Chi Square ◽  
Related Factors ◽  
Cross Sectional ◽  
Factors Affecting ◽  
Chi Square Test

Introduction: Internet addiction is a global phenomenon with an increasing trend in university students. The aim of this study was to investigate the frequency and factors affecting internet addiction in externship and internship medical students of Kerman University of Medical Sciences in 2018. Methods: This cross-sectional study was carried out on externship and internship medical students of Kerman University of Medical Sciences in 2018 during a 6-month period using convenience sampling method. In this study, the valid and reliable self-administered questionnaire of “Kimberly-Young internet addiction questionnaire” was used to collect the research data. The attainable scores in this questionnaire range from 20 to 100, so that  higher scores show greater dependence on the Internet. Data were analyzed by SPSS version 20 using the Chi-square test. A significant level was set at lower than 0.05. Results: Among the participants, 46 participants (18.4%) were normal users, 127 (50.8%) were at risk, and 77 (30.8%) were addicted to the Internet. Among the demographic factors, a significant relationship was found between gender (p = 0.041) and educational level (p = 0.024) with Internet addiction. Conclusion: policymakers should pay particular attention to the issue of Internet addiction in medical students, since Internet addiction may cause these students to neglect their critical duties during externship and internship. In this regard, holding effective training courses can be helpful.

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