Empathy, Burnout and Quality of Life among Medical Students of Ardabil University of Medical Sciences

Despite the existence of a large community of nurses, specific mechanisms have not been developed yet to consider their needs and the quality of their work life. Moreover, few studies have been conducted to analyze the nature of nursing, nursing places or nurses' quality of work life. In this regard, the present study aimed to assess predictable productivity of nurses working in Kerman University of Medical Sciences' teaching hospitals via the dimensions of Quality of Work Life. The present descriptive-correlational study was conducted to assess predictable productivity of nurses via the dimensions of Quality of Work Life. The study's population consisted of all nurses working in different wards of teaching hospitals associated with Kerman University of Medical Sciences. Out of the whole population, 266 nurses were selected based on the simple random sampling method. To collect data, the questionnaires of 'Quality of Nursing Work Life' and 'Productivity' were used after confirming their reliability (test-retest) and content validity. Finally, the collected data were analyzed through the SPSS software (version 16). Although the quality of work life for nurses was average and their productivity was low but the results showed that quality of life is directly related to nurses' productivity. Quality of life and its dimensions are predictive factors in the in the nurses' productivity. It can conclude that by recognizing the nurses' quality of work life situation, it can realize this group productivity and their values to the efficiency of the health system. For the quality of working life improvement and increasing nurses' productivity more efforts are needed by authorities. The findings can be applied by managers of hospitals and nursing services along with head nurses to enhance the quality of health services and nursing profession in general.

Backgroun an aim: Like other chronic diseases, hypertension is closely related with lifestyle, mental health and quality of life. The goal of this study was Determination of health related quality of life in hypertensive patients.Materials and Methods: The study was Descriptive, samples were chosen by using convenience sampling and according to characteristics of samples and Their willingness to participate in the study. The data gathering tools in this study were Social and personal information (demographic) forms, and health-related quality of life questionnaire. (SF-36). Clinical research environment at selected hospitals affiliated to Tehran University of Medical Sciences consist of Hazrat Rasoul Akram Hospital, Imam Khomeini Hospital, and Shahid Rajai. To determine the relationship between The main variable and demographic variables and use ANOVA and T-Test, we entered variables that were significant in our regression model.Findings: 264 patients with hypertension take part in this study. Most of Participants were male and their age was in range of 40-60 years old. Mean of quality of life among hypertensive patients was 55. 33. There was a statistically significant relationship between quality of life and job, information about the disease, other chronic diseases and medication groups.Conclusion: The study shows that there health related quality of life is low in hypertensive patients.Key words: health related quality of life, hypertension REFERENCES Ahangari M., Kamali M., Arjomand Hesabi M.( 2008) [A study of quality of life among older people with hypertension. Journal of Salmand ]. 3(7)26-32.(Persian). Amar J, Chamontin B, Genes N, Cantet C, Salvador M. and Cambou JP. (2003) Why is hypertension so frequently uncontrolled in secondary prevention? Journal of Hypertension . 21(6) 1199–1205. Braunwald, E., Fauci, A.S., Kasper, D.L., Hauser, S.L., Longo, D & Jamason, J.L. (2001). Harrison’s Principles of Internal Medicince . NewYork: McGraw-Hill Professional Publishing; 15th edition. Burkhardt M., Nathalien A.(1998) Ethics and Issues in Contemporary Nursing .Albani Bonn. Burstrom K, Johannesson M, Diderichsen F.( 2001) Health-related quality of life by disease and socio-economic group in the general population in Sweden. Health Policy .55(1)51– 69. Carrasco-Garrido , P., Diez, J.d M., Gutierrez, J. R et al.( 2006) Negative impact of chronic obstructive pulmonary disease on the health related quality of life of patients. Results of the EPIDEDOC study. Health and Quality of Life Outcomes . 4(31) 1-9. Collins E, Langbein WE, Dilan-Koetje J, et al.( 2004) Effects of exercise training on aerobic capacity and quality of life in individuals with heart failure. Heart and Lung . 33(3) 154-61. Cote I.,Farris K.,Feeny D. 2003. Is adherence to treatment correlated with health related quality of life? Quality نشریه دانشکده پرستاری و مامایی یپوهنملفشرختبا. ا یمرب یملطسرتبا یگنزدت ی یکسر / 17 ر مف د ب of life research 12.pp. 621-633. Esmaeili Z.,Ziabakhsh Tabari SH.,Vaezzadeh N.,Mohammadpour Tahamtan R.A( 2007)[Quality of life after coronary artery bypass grafting in Sari city, 2005-2006]. Journal of Mazandaran University of Medical Sciences . 17(61)170-174.(Persian ). Fadaee Aghdam N., Masror Rodsari D., Rafii F., Hoseini A.F.( 2012)[ Relationship between health related quality of life and respiratory symptoms in patients with COPD ]. Thesis for Master degree of nursing. Iran University of Medical Sciences.(Persian). Ferrans C. E.,Powers M. J.( 1985) Quality of life index : Development and psychometric properties. ANS Advances in Nursing Science . 8(1)15-24. Fredericks E. M., Magee J. C., Opipari-Arrigan L., et al (2008) Adherence and health related quality of life in adolescent liver transplant recipients. Pediatric Transplantation .12(3)289-99. Ghanbarian A Rahmani M Sarafzadeh A Azizi F( 2003) Hypertension distribution in Tehranian adult population Tehran lipid and glucose study. Iranian Journal of Endocrinology and Metabolism .5(Sup 4) 425-435.(Persian). Gusmao JL, Mion Jr. D, Pierin AMG. (2009) Health-related quality of life and blood pressure control in hypertensive patients with and without complications. Clinics (Sao Paulo).64(7) 619-28. doi: 10.1590/S1807-59322009000700003 Jabal Ameli, Sh. Neshat Doost, H. Moulavi, H.( 2010)[ Effectiveness of cognitive-behavioral stress management therapy intervention on quality of life and and blood pressure in female patients with hypertension]. Scientific Journal of Kurdistan University of Medical Sciences (SJKU). 15 (2) 88-97( Persian)URL http:// sjku.hbi.ir/browse.php?a_code=A-10-1-247s open access Smeltzer,Suzanne,.Bare, G.,Brenda, Hinkle,.L, Janice,. Cheever,H., Kerry. (2010). Brunner and Suddarth’s Textbook of Medical Surgical Nursing . 12th edition. Lippincott Williams & Wilkins. Sotoude Asl, N., Neshatdoost, H.T., Kalantari, M., Talebi, H., Khosravi, A.R.( 2010) [Comparison of the effectiveness of cognitive behavioral therapy and medication on the quality of life in the patients with essential hypertension] . Koomesh Scientific journal of Semnan University of Medical Sciences .11(4 [ serial36]) 294-301. Persian Steven P., Gould D. (1997) Non-adherence with medications in organ transplant patients: a literature review. Journal of Advanced Nursing .26(5)968-977. URL http://jmums.mazums.ac.ir/browse.php?a_code=A-10-1-279&slc_lang=fa&sid=1 Vahdani Nia MS, Goshtasebi A, Montazeri A, Maftoon F (2005)[ Health-related quality of life in an elderly population in Iran: A population-based study. Payesh Journal .4(2)113-120(Persian). World Health Organization.2001. High light on health in Switzerland.

COMPARISON OF QUALITY OF LIFE BETWEEN HEMOPHILIC CHILDREN RECEIVING PROPHYLAXIS AND ON DEMAND THERAPY IN TEHRAN

Introduction: Social health is the most complex aspect of health that plays a key role in the quality of social life and can be the cause of suffering or aggravation of psycho-social and physical problems. Therefore, the present study was conducted with the aim of investigating social health and its relationship with quality of life among medical students at Golestan University of Medical Sciences in 2018. Method: This descriptive-analytical and cross-sectional study was conducted using stratified random sampling. A total of 190 people were selected for non-clinical and clinical stages. Data were collected using a questionnaire to determine social health and quality of life and then analyzed with SPSS software (version 16) using the t-test, ANOVA, Mann-Whitney U test, Kruskal-Wallis test, X2, as well as Pearson and Spearman correlation analyses. The significance level was considered to be 0.05. Results: The mean age of the students was 23.06±2.28 years, and the majority (58.9%) were female. The average scores of social health and quality of life of the students were 104.16±8.47 and 90.9±13.01, respectively. Social health had a direct and significant relationship with quality of life (r=0.0482, P=0.001). Age showed an inverse relationship with social health (r=-0.17, P=0.8) and a direct relationship with quality of life (r=0.14, P=0.07). Variables of gender, ethnicity, marital status, and place of residence had no relationship with social health indicators or quality of life. Conclusion: Social health is directly related to the quality-of-life index of students. Moreover, an increase in age improves the quality of life but decreases social health.

Background and Aim: The present study investigated the effect of logotherapy training on the mental health and quality of work and life of employees of Golestan University of Medical Sciences. Method: This study is an intervention type with a pre-test and post-test with a control group. The sample of the research is 30 of these working employees who were selected as available sampling and randomly placed in two experimental groups and one control group. To collect data, Walton's occupational quality questionnaire (QWL) and the World Health Organization's quality of life questionnaire (WHOQOL-BRE) were used. Results: The results showed that logotherapy training, compared to the control group, reduced physical symptoms, anxiety, social behavior and depression, and in the result is the improvement in the mental health of the employees of Golestan University of Medical Sciences. These interventions also increase the quality of work and the quality of life of employees. Conclusion: The results showed that logotherapy training is effective on the mental health and quality of work and life of university employees.

Dermatology Quality of Life Instruments: Sorting Out the Quagmire

BackgroundThe pursuit of medical and dental education is challenging and can affect the overall quality of life of medical students. Assessing the quality of life of medical students is the first step in the preparation of efficient future health care professionals. This study used the World Health Organization Quality of Life Brief Version (WHOQOL-BREF) to evaluate the quality of life of medical and dental students in Karachi, Pakistan.ObjectivesThe study objectives include: assessing the QoL of medical and dental students and their general health satisfaction and self-satisfaction.Materials and methodsThis cross-sectional study was conducted among 344 medical and dental students from different medical and dental schools in Karachi, Pakistan. The World Health Organization Quality of Life Brief Version (WHOQOL-BREF) questionnaire was used to assess QOL, which included 26 items covering four domains: physical, psychological, social, and environmental. All scores for the domains ranged from 4 to 20. Scoring was done according to the WHOQOL-BREF procedure manual. The questionnaire was disseminated to medical students using Google Forms. SPSS software was used to analyze the data. Cronbach’s alpha and the Kaiser-Meyer-Olkin (KMO) test were used to evaluate the reliability and sampling adequacy of the data for factor analysis. Descriptive statistics were computed for each variable and QoL domain, including frequencies, percentages, averages, and standard deviations. Domain scores were compared using a t-test and one-way ANOVA, with p-values less than 0.05, indicating statistical significance.ResultsAmong the 344 medical students, 56.7% (n = 195) were female and 43.3% (n = 149) were male. The WHOQOL-BREF demonstrated excellent reliability, with a Cronbach’s alpha of 0.918. Most medical students rated their overall QOL (62.2%) and health satisfaction (46.8%) as good, and were able to get around well (71.3%). No significant sex differences were found across the various QOL domains. Marital status significantly affected QOL scores (p < 0.005). Single students had significantly higher QOL scores than married/separated/divorced students did. Overall, the environmental domain had the highest mean score (26.81 ± 6.17), while social relationships had the lowest mean score (9.68 ± 2.93).ConclusionThe findings of this study provide valuable insights into the QoL of medical and dental students. Most participants reported moderate satisfaction with their physical health and lower satisfaction with the psychological, social, and environmental components of QoL. Marital status was found to significantly impact the QoL as compared to single students with greater QoL. These findings can help form targeted interventions to enhance medical students’ quality of life and prepare efficient future healthcare professionals.

Background and aim Symptoms of Sclerosis (MS) are unpredictable; they vary from person to person, and from time to time in the same individual . Research conducted in Iran, didn't focus specifically on the health status of MS. Therefore, we undertook this study on physical health status in MS patients . Materials and Methods This is a descriptive cross-sectional study on 119 MS patients, recruited through convenience sampling. Data were collected using the physical section of the Multiple Sclerosis Quality of Life Inventory (MSQLI), with 78 items and 0.93 Cronbach's coefficient that translated to Persian and adapted to Iranian culture by researchers. Findings The physical health status was moderate in 49.6%. The lowest mean score percent was for physical component 41.06 ( 12.9) and the highest mean score percent was for Impact of visual impairment 87.05(16.1). Physical components indicated a significant positive correlation with fatigue impact, pain effect and bladder control. We found a significant positive correlation between fatigue impact with pain effects, sexual satisfaction, and bladder and bowel control. Moreover, significant positive correlations were found between pain effects with sexual satisfaction and bowel control; sexual satisfaction and bladder and bowel control; bladder control and bowel control. Conclusion These findings may assist health care providers to identify patients at risk of aggravating physical health status; thus allowing appropriate and timely interventions to be conducted. Keywords : sclerosis, Physical health, Fatigue, Pain, Bladder Control, Bowel Control, Sexual Dysfunction, Visual Dysfunction. * Corresponding author: Tahereh Ashktorab, Assistant Professor, School of Nursing & Midwifery, Shahid Beheshti University of Medical Sciences E-mail: tashktorab@yahoo.com REFERENCES -Alimohamadi N Sadat S Abazari P (2006). [The experiences of patients with multiple sclerosis]. Iranian Journal of Nursing & Midwifery Research. 11(2). [Online]. . (Persian). -Benito-Leon J et al (2003). A review about the impact of multiple sclerosis on health-related quality of life. Disability and Rehabilitation. 25(12) 1291–1303. -Casetta I et al (2009) Gender differences in health-related quality of life in multiple sclerosis. Sclerosis. 15 (11) 1339–1346. -Dennison L Moss-Morris R and Chalder T (2009). A review of psychological correlates of adjustment in patients with multiple sclerosis. Clinical Psychology Review. 29 (2) 141-153. -Douglas C Wollin J Windsor C (2008). Illness and demographic correlates of chronic Pain among a community-based sample of people with multiple sclerosis. Archives of Physical Medicine and Rehabilitation. 89 (10) 1923-1932. -Fischer J et al (1999) Recent developments in the assessment of quality of life in multiple sclerosis (MS). Sclerosis. 5 (4) 51-259. -Fuvesi J et al (2010). Factors influencing the health-related quality of life in Hungarian multiple sclerosis patients. Journal of the Neurological Sciences. 293 (1-2) 59–64. -Flensner G et al (2008). Fatigue in relation to perceived health: people with multiple sclerosis compared with people in the general population. Scandinavian Journal of Caring Science. 22 (3) 91-400. -Forbes A et al (2006). Health problems and health-related quality of life in people with multiple sclerosis. Clinical Rehabilitation. 20 (1) 67-78. -Fruehwald S et al (2001). Depression and quality of life in multiple sclerosis. Acta Neurologica Scandinanvia. 104 (5) 257-61. -Ghaem H Borhani Haghighi A (2008). The impact of disability, fatigue and sleep quality on the quality of life in multiple sclerosis. The Annals of Indian Academy of Neurology. 11(4) 36–241. -Higginson IJ et al (2006). Symptom prevalence and severity in people severely affected by multiple sclerosis. Journal of Palliative Care. 22 (3) 58-65. -“Just the Facts” National Sclerosis Society, 21 Dec 2008 [Online]. . [20 March 2009]. -Masoodi R et al (2008). [The effect of Orem based self-care program on physical quality of life in multiple sclerosis patients]. Journal of Shahrekord University of Medical Sciences. 10 (2) 21-30. (Persian). -Multiple Sclerosis Association of Iran (2010). [Activities Report of Sclerosis Association of Iran in 2009]. (Persian). -Patti F et al (2003). Health related quality of life and depression in an Italian Sample of sclerosis patients. Journal of the Neurological Sciences. 211 (1–2) 55–62. -Paul GM et al “Multiple Sclerosis Quality of Life Inventory: A User's Manual”. New York: National Sclerosis Society, 1997 [Online]. .[10 April 2009]. -“Process of translation and adaptation of instruments”. World Health Organization, 2009. [On line]. [cited 2 August 2009]. .>.[10 September 2009]. -Shahbeigi S (2010). 7 th International Congress of Sclerosis Tehran, Iran. Medical News. 1. (Persian). -Smeltzer S Bare B Hinkle J and Cheever K (2008). Brunner and Suddarth’s Textbook of Medical Surgical Nursing. 11 th edition. Volume 2. Philadelphia, Lippincott. -Tepavcevi 1 D Pekmezovi 1 T Drulovi 1 J (2009). Quality of life assessment in patients with multiple sclerosis. Vojnosanit Pregl. 66 (8) 645-50. -Turpin K et al (2007). Deterioration in the health-related quality of life of persons with multiple sclerosis: the possible warning signs. Sclerosis. 13 (8) 1038–1045. -Vanner EA et al (2008). Pilot Study Exploring Quality of Life and Barriers to Leisure-time Physical Activity in Persons with Moderate to Severe Sclerosis. Disability and Health Journal. 1 (1) 58-65. -Vazirinejad R Lilley J Ward C (2008). A health profile of adults with multiple sclerosis living in the community. Sclerosis. 14 (8) 099–1105. -Visschedijk M et al (2004). Value of Health-related Quality of Life to Predict Disability Course in Sclerosis. Neurology. 63 (11) 2046-50. -“What is Sclerosis?” Sclerosis Association of America, 2008. [On line]. . [22 March 2009

The quality of life (QoL) among health professional students is available in the literature, yet there is a paucity of information concerning QoL among African students. The study aimed to measure the QoL with the World Health Organization Quality of Life-BREF (WHOQOL-BREF) tool among African medical and health science students. A cross-sectional study was conducted involving 349 African medical and health science students from various disciplines at the International African University in May 2024. A purposive sampling method was used to recruit participants from five different faculties. Data were collected using the WHOQOL-BREF tool, and analyzed using descriptive statistics, chi-square test and multiple linear regression to determine the predictors of QoL among students. The overall QoL among 349 African medical and health science students was moderate, with a mean score of 67.5% ± 10.8%. The highest mean scores were observed in the physical health domain (69.3% ± 12.0%), while the lowest scores were in the environmental domain (62.9% ± 12.0%). The multiple regression analysis using demographic data as predictors of QoL revealed that dentistry students were significant predictors of higher overall QoL scores compared to other student groups (β = 7.059, p < 0.05), as well as specific QoL domains including physical health (β = 6.328), psychological health (β = 8.415), social relationships (β = 7.823), and environment (β = 7.017). Furthermore, students from the fields of laboratory sciences and medicine significantly predicted higher scores in the physical health domain (β = 5.223) and the psychological health domain (β = 4.433), respectively. Age was also a significant predictor; students aged between 20 and 23 years showed a positive impact on social relationship domain of QoL (β = 10.296). However, second year (β = -11.146), third year (β = -13.629), and fourth-year students (β = -10.144) exhibited lower social relationship domain of QoL scores. Students of medical and health sciences in Africa exhibited moderate quality of life (QoL). The findings indicate that dentistry students generally experience higher QoL across multiple domains, which contrasts with students from other disciplines, such as pharmacy and nursing. Age and academic year were also significant predictors of QoL, with younger students and those in their initial years of study reporting lower scores. These results align with existing literature and underscore the need for targeted interventions to support students, particularly those in high-stress disciplines or at earlier stages of their education.

The aim of this study was to investigate the status of anxiety, quality of work life, and fatigue of healthe care providers in six educational and medical centers of Shahrekord University of Medical Sciences in the southwest of Iran in the Covid-19 pandemic. The present study was a cross-sectional study and included the statistical population of healthcare providers in six educational and medical centers of Shahrekord University of Medical Sciences in the southwest of Iran. Using random sampling method, 181 people who had direct involvement with patients with Covid-19 were selected and compared with 261 staff in other wards who had no direct contact with patients with Covid-19. For data collection, demographic information (demographic characteristics questionnaire), Covid-19 Anxiety Questionnaire, quality of work life and Rhoten fatigue questionnaires were used by self-administered online questionnaires. The results showed that the quality of life in both groups decreased and fatigue and anxiety caused by Covid-19 increased, but there was no statistically significant difference between anxiety derived fatigues of personnel involved with Covid-19 with personnel of other wards which were no directly faced Covid-19 patients. Regarding the quality of work life, no significant difference was observed in other components except in the component of human resource development. The results also showed that there was a statistically significant relationship between the level of anxiety caused by Covid-19 with quality of work life and fatigue. According to the results of the present study, Covid-19 had a negative effect on physical, mental and various aspects of quality of life of health care staff and led to increased fatigue.

Introduction: Quality of life (QOL) is an important index in society that need for evaluation in all age groups people especially in medical university students as a people that their physical and mental health is related with community health. This study aims to investigate the quality of life (QOL) of Ardabil University of Medical Sciences. Methods: This is a cross-sectional study that has been conducted on 200 students who selected by random sampling method from Ardabil medical university students. The QOL was measured by WHOQOL-BREF which its validity and Reliability were investigated and approved. This questionnaire include 26 questions in four dimensions (physical, mental, social and environmental health). Collected data we analyzed by statistical test such as t-test for compare the mean of QOL score among demographic data. Results: Of all students, 57% were male and 91.5% were single. Of all students, 56% had desired quality of life. The relationships between QOL and variables such as gender, educational level, marital status and age of students wasn’t significant. The mean difference of four dimension scores among two sexes was statistically significant. The mean of Physical health dimension score was 11.6±2.1, Psychological was 12.3±2.4, Social relationships was 13.1±3.4 and environment was 12.7±3.2. The mean of total score of QOL in all students was 12.4±2.3. Conclusion: Results showed that the QOL of all students were in high level and in four dimension of QOL the female students had significant higher score than male students.

Background: Empathy, quality of life, and occupational burnout are essential factors in medical sciences that affect the physicians’ and patients’ communication. Therefore, the purpose of this study was to investigate the association of these three factors among medical students. Methods: This descriptive correlational study was conducted among medical internship students. Participants were selected by using simple random sampling. The Jefferson Empathy Questionnaire, the WHO Quality of Life Questionnaire, and the Maslach Burnout Questionnaire were used for data collection. Data were analyzed using t test, Kruskal-Wallis, analysis of variance (ANOVA), and Pearson’s correlation coefficient. Results: A total of 167 students completed the questionnaires. The association of empathy and occupational burnout (P=0.005, r=-0.414) and between the quality of life and occupational burnout (P=0.005, r=-0.446) were both significantly negative. Independent t test showed the mean score of occupational burnout was significantly higher in male students than females. It was also significantly higher in married students than single (P&lt;0.05). The results of the KruskalWallis test showed no statistically significant difference among the quality of life of different ethnic groups (P&gt;0.05). One-way ANOVA showed that there was a statistically significant difference between the ethnic groups in terms of occupational burnout (P&lt;0.05) Conclusions: The association of empathy and quality of life with occupational burnout was negative. The highest quality of life was related to older students. Among all of the studied variables, married status, ethnicity, and sex were most associated with occupational burnout where married and male students had the highest burnout.

BackgroundMedical training is globally recognized as a period marked by significant psychological and lifestyle challenges that may adversely impact students' quality of life (QoL). This issue is particularly critical in low-resource settings, such as Angola, where contextual stressors may further exacerbate these challenges and where no data on the QoL of medical students were previously available.AimTo assess the QoL and its determinants among medical students at Agostinho Neto University in Luanda, Angola.MethodsA cross-sectional study was conducted using a convenience sample of 289 undergraduate medical students at the Faculty of Medicine of Agostinho Neto University (FMUAN) in Luanda, Angola. A cross-culturally adapted version of the World Health Organization Quality of Life-BREF (WHOQOL-BREF) questionnaire was used to assess QoL across four domains: physical, psychological, social relationships, and environment. Data were collected through self-completion of the questionnaire at the university facilities. Statistical analyses included descriptive statistics, t-test, ANOVA, chi-square tests, Pearson correlation, and multivariate regression, the latter of which was applied to identify factors associated with QoL domains.ResultsThe sample consisted of 59.2% females, with a mean age of 26.09±6.99 years. Female students were more prevalent in younger age categories (p=0.001), and most students (84.8%) did not report chronic illnesses. The WHOQOL-BREF instrument demonstrated very good internal consistency (Cronbach’s alpha=0.840). Overall, QoL domain scores were low, with the environmental domain showing the lowest mean (45.19±15.70), followed by the physical domain (53.85±15.55). Conversely, the psychological domain had the highest mean score (70.30±11.52). Male students scored significantly lower in the social relationships (62.89 vs. 67.86) and environmental (40.81 vs. 47.14) domains, while female students scored lower in the psychological domain (68.40 vs. 71.63). QoL scores varied across academic years, with third-year students consistently reporting higher scores across most domains, whereas second- and sixth-year students reported the lowest scores. The presence of chronic illnesses was associated with lower QoL in the physical (p=0.016), psychological (p=0.015), and environmental (p=0.007) domains. Most students rated their overall QoL as “neither good nor bad” (51.9%), and about half were satisfied with their health (50.5%). Regression analysis showed that being in the third year and having better perceived overall QoL positively predicted QoL in the physical (β=14.54 and β=10.60, respectively), psychological (β=5.26 and β=5.64, respectively), and social domains (β=6.03 and β=16.27, respectively). Conversely, being a sixth-year student (β=−5.86) and being female (β=−3.72) negatively predicted physical and psychological QoL, respectively.ConclusionsOur findings highlight generally low QoL scores among medical students in Angola, especially in the environmental and physical domains and notably during the initial and final academic years. Being in the third year and having a positive self-assessment of overall QoL emerged as protective factors, while female gender and being a sixth-year student were associated with poorer QoL. These insights underscore the necessity of targeted interventions to address the determinants of QoL and support student well-being in resource-constrained medical education settings such as Angola.

Introduction: The purpose of this study was to investigate the quality of life (QOL) score based on stress scale, the relationship between the two and their influencing factors in medical and dental students of Isfahan University of Medical Sciences.&#x0D; Materials and methods: This cross sectional study was carried out on 235 dental students and 488 medical students between April-June 2020. In this study 24 items of physical quality, psychological quality, social quality, environmental quality and 2 general health items related to quality of life and 14 items related to stress level were assessed using the electronic questionnaire of WHOQOL-BREF. The collected data was fed into SPSS and analyzed by ANOVA, T-test, correlation coefficients and linear regression test (α = 0.05).&#x0D; Results: The mean for total quality of life was 78.5 ± 14.1 (26-120) and 27.6 ± 7.2 (10-56), respectively. In both professions, the relationship between QOL and total stress showed a significant and inverse relationship (p value &lt; 0.001, r = -0.78). In dental students, four domains and the total score were significantly higher and stress levels were significantly lower compared to medical students. In both professions, women had significantly higher levels of stress than men (p value = 0.03). Based on academic year, in medical students mean for total QOL scores (p value = 0.04), physical (p value &lt; 0.001) and emotional quality (p value = 0.07) were significantly different and while the academic year increased, the QOL scores decreased.&#x0D; Conclusion: There is a significant and inverse relationship between QOL and stress level. The level of stress in females is higher than in males and also in medical students than in dental students. The score of quality of life and academic year were inversely correlated.

Aims: Considering significant number of students, especially female students consisting young stratum of the society, there is the increased possibility of mental damages and the direct effect it can have on their quality of life (QOL). The present study aimed to investigate the QOL in female students living in dormitories of the University of Medical Sciences in Qom University of Medical Sciences. Materials and Methods: This study is a cross-sectional study conducted in 2016 on 300 students of the Qom University of Medical Sciences selected using quota sampling. Data gathering tool was the World Health Organization QOL-BREF questionnaire containing 26 items. Statistical data were analyzed using descriptive and inferential statistics of SPSS software. Results: In general, the mean score of students in the four domains of QOL was respectively related to physical health (14.42 ± 2.42), social health (13.30 ± 3.33), environmental health (13.11 ± 2.95), and psychological health (13 ± 2.81), and also, there was a significant relationship between QOL and age (P < 0.0001), discipline (P < 0.04), economic status (P < 0.0001), and interest in discipline (P < 0.001). Conclusion: This study showed that the lowest area of QOL was associated with psychological health; therefore, to increase the QOL in this dimension; the periodical evaluation of the mental health is recommended. Appropriate training to create psychological adjustment in student dormitories can also improve the QOL.