scholarly journals Coping strategies for stress in medical students with type D personality

2021 ◽  
Vol 28 (Supplement_1) ◽  
Author(s):  
A Sumin ◽  
AV Shcheglova ◽  
IUY Prokashko
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Medical Students ◽  
Coping Strategies ◽  
Logistic Regression Analysis ◽  
General Medicine ◽  
Type D Personality ◽  
Positive Reappraisal ◽  
Type D ◽  
Avoidance Strategy

Abstract Funding Acknowledgements Type of funding sources: None. Aim. To study the choice of coping strategies and coping adequacy in medical students with type D personality. Material and methods. The study included 98 participants - 68 women and 30 men, studying at the General Medicine Faculty (Kemerovo State Medical University), aged 18 to 23 years (mean age 19.1 ± 2.0 years). All participants completed psychological questionnaires to identify predisposition to psychological distress and choice of coping strategies. Results. All subjects (n = 98) were divided into two groups: subjects with type D personality (n = 44) and subjects without type D personality (n = 54). Type D personality in men was detected in 20.4%, in women in 79.6% (p = 0.03). In students with type D, the average scores on the negative affectivity (NA) and social inhibition (SI) scales were higher (16.0 and 13.5 points) than in students without type D (6.5 and 9.0 points), (p < 0.001 in both cases). Subjects with type D had higher scores on the "Escape-avoidance" (p < 0.001), "Accepting responsibility" (p = 0.009) and "Distancing" (p = 0.05) scales of the Ways of Coping Questionnaire (WSQ) and "Avoidance" (p = 0.007) scale of the Central Sensitisation Inventory (CSI) questionnaire. The indicator of coping strategies showed a very low level of use of avoidance strategies: with type D - 9.09%, without type D - 31.48% (p = 0.007). Students with type D had a pronounced preference for the "Escape-avoidance" strategy of 75.0% (p = 0.000018). According to univariate logistic regression analysis, an increase of 1 point in the values on the "Escape-avoidance" scale increased the chance of identifying type D by 1.15 times (95% CI 1.07-1.23; p < 0.001). On the contrary, an increase in the score on the "Positive Reappraisal" scale reduced the probability of identifying type D personality (OR 0.98; 95% CI 0.86-0.98; p = 0.005). Receiver operating characteristic (ROC) analysis showed that the identified association between the "Escape-avoidance" strategy and type D personality has high values (AUC = 0.779; 95% CI 0.688-0.870). Conclusion. Predominance of inadequate of coping strategies, such as "Escape-avoidance" and "Avoidance", was found in healthy medical students with type D personality. According to logistic regression analysis, the independent strategy associated with type D personality is the "Escape-avoidance" and without type D - "Positive Reappraisal".

scholarly journals AB0896-HPR THE EVALUATION OF TYPE D PERSONALITY AND SELF-ESTEEM IN PATIENTS WITH FIBROMYALGIA

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 1471.2-1472
Author(s):  
N. Gokcen ◽  
I. Coskun Benlidayi ◽  
L. Tamam ◽  
M. E. Demirkol ◽  
C. Yesiloglu ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Binary Logistic Regression ◽  
Self Esteem ◽  
Cross Sectional Study ◽  
Type D Personality ◽  
Binary Logistic Regression Analysis ◽  
Cross Sectional ◽  
Type D

Background:Fibromyalgia (FM) is a condition characterized by chronic widespread pain, fatigue, sleep disturbances. Etiopathogenesis remains unclear; however, growing data regarding the effect of psychosocial factors on disease etiopathogenesis have drawn attention. Psychosocial elements such as type D personality and low level of self-esteem might increase disease burden (1). Accordingly, many researchers so far, have examined psychological parameters in FM and a limited number of studies focused on the personality type among patients with FM (2-5).Objectives:The current study aimed to investigate type D personality and self-esteem in patients with FM.Methods:Female patients with fibromyalgia and age-matched healthy controls were enrolled in this cross-sectional study. Type D personality was evaluated by using the type D scale (DS-14). The Rosenberg self-esteem scale (RSES) was used to assess self-esteem and psychosomatic symptoms. Psychological status was evaluated by the Beck Depression and Beck Anxiety Inventories. Fibromyalgia Impact Questionnaire (FIQ) was performed to assess functional impairment and health status in patients with FM. The potential confounders of type D personality were evaluated by binary logistic regression analysis.Results:Seventy patients with FM and 60 controls were included. Type D personality was observed in 58.6% of the patients and in 21.7% of the control group (p<0.001). When compared to patients with non-type D personality, those with type D personality revealed lower self-esteem and poorer health status (p<0.05 for both), higher anxiety and depression scores (p<0.001 for both). According to binary logistic regression analysis, depression (β=1.178, Cl 95% 1.055−1.316, p=0.004) and lower education level (β=0.818, Cl 95% 0.682−0.982, p=0.031) were significantly related to type D personality in FM (Table 1).Conclusion:Type D personality is more common in female patients with FM when compared to healthy women. Patients with type D personality have lower level of self-esteem when compared to those with non-type D personality. Depression and lower education level are potential confounders of type D personality in FM.References:[1]Bazzichi L, Giacomelli C, Consensi A, Giorgi V, Batticciotto A, Di Franco M, Sarzi-Puttini P (2020) One year in review 2020: fibromyalgia. Clin Exp Rheumatol 38 Suppl 123(1):3-8.[2]Conversano C, Marchi L, Ciacchini R, Carmassi C, Contena B, Bazzichi LM, Gemignani A (2018) Personality Traits in Fibromyalgia (FM): Does FM Personality Exists? A Systematic Review. Clin Pract Epidemiol Ment Health 14:263.[3]Türkoğlu G, Selvi Y (2020) The relationship between chronotype, sleep disturbance, severity of fibromyalgia, and quality of life in patients with fibromyalgia. Chronobiol Int 37(1):68-81.[4]Garip Y, Güler T, Bozkurt Tuncer Ö, Önen S (2019) Type D Personality is Associated With Disease Severity and Poor Quality of Life in Turkish Patients With Fibromyalgia Syndrome: A Cross-Sectional Study. Arch Rheumatol 35(1):13-19.[5]Ablin JN, Zohar AH, Zaraya-Blum R, Buskila D (2016) Distinctive personality profiles of fibromyalgia and chronic fatigue syndrome patients. PeerJ 4:e2421.Table 1.Binary logistic regression analysis for the evaluation of potential confounders of type D personality in patients with fibromyalgia.WaldSEβ (95%CI)pEducation (years)4.6640.0930.818 (0.682−0.982)0.031Occupation duration (years)0.1160.0371.013 (0.942−1.089)0.733Self-esteem scale (D1)0.3690.4230.774 (0.338−1.771)0.544BDI8.4460.0561.178 (1.055−1.316)0.004BAI0.7890.0321.029 (0.966−1.095)0.374BDI: Beck Depression Inventory, BAI: Beck Anxiety Inventory, SE: standard error, CI: confidence intervalDisclosure of Interests:None declared

scholarly journals Knowledge, attitude, behaviour of the future healthcare professionals towards the self-medication practice with antibiotics

2019 ◽  
Vol 13 (01) ◽  
pp. 56-66
Author(s):  
Tarek Benameur ◽  
Hassan Al-Bohassan ◽  
Abdullah Al-Aithan ◽  
Abdullah Al-Beladi ◽  
Hassan Al-Ali ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Medical Students ◽  
Logistic Regression Analysis ◽  
Bacterial Infections ◽  
Common Symptom ◽  
Self Medication ◽  
Cross Sectional ◽  
Major Health Problem ◽  
Validated Questionnaire

Introduction: Self-medication with antibiotics (SMA) is a major health problem in the developing world including the kingdom of Saudi Arabia (KSA). This practice remains an emerging challenge for the healthcare providers. A few previous studies have estimated the prevalence of SMA among the general population of KSA, but there had been no such studies on healthcare students. We aimed to estimate the prevalence of SMA among medical, non-medical students and to evaluate its determinants. Methodology: A survey-based cross-sectional study using validated questionnaire was conducted amongst students at King Faisal University in KSA. Chi-square test and logistic regression analysis were applied to identify the determinants of SMA. Results: The prevalence of SMA was 58.4% with significantly lower proportion among medical students. Tonsillitis was the most common symptom for which SMA was used and was reported by a significantly higher proportion of medical (54.1%) students. Despite, the awareness of medical students about SMA is unsafe and mal-practice (79.9%), the prevalence of SMA practice remains high. Logistic regression analysis showed that students who incorrectly, identified the effectiveness of antibiotics in treating bacterial infections, the reasons of the antibiotics discontinuation had a higher likelihood to SMA. (OR = 2.16, 95% CI: 1.52-4.503, P = 0.001), (OR = 1.575, 95% CI: 0.923-2.686, P = 0.09), respectively. Conclusions: SMA remains noticeably high among the medical students. To overcome this problem, we highly recommend improving the health education to better address this malpractice and improve the students’ knowledge, attitudes and awareness towards the antibiotics use and prescription pattern.

Perfectionism is related with academic stress in medical student

2017 ◽  
Vol 41 (S1) ◽  
pp. S690-S690 ◽  
Author(s):  
C. Kim ◽  
C. Seockhoon ◽  
L. Suyeon ◽  
Y. Soyoun ◽  
P. Boram
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Medical Student ◽  
Medical Students ◽  
Logistic Regression Analysis ◽  
Stress Level ◽  
Academic Stress ◽  
Pearson’S Correlation ◽  
Pearson's Correlation ◽  
High Level

ObjectiveEspecially medical students set high academic standard, and try hard to achieve because they are requested to studying medicine perfectly. Multidimensional perfectionism scale (MPS) is used to measure perfectionism in medical student. The purpose of the present study was to investigate the relationships between stress and various factors including perfectionism.MethodsWe enrolled 159 medical students from University of Ulsan college of Medicine. We used the Medical Stress scale (MSS), the Multidimensional Perfectionism Scale(MPS), the patient health questionnaire-9(PHQ-9), the academic motivation scale (AMS), the insomnia severity scale(ISS), and The revised neo personality inventory.ResultTo analyze data, we used Pearson's correlation and logistic regression analysis. In the first step- Pearson's correlation analysis, a motivation, PHQ-9, ISI, perfectionism and neuroticism traits of NEO-PI significantly correlated with stress level (P < 0.001). In the second step, logistic regression analysis indicated that students who feel high level of academic stress (MSS score ≥ 28) are also related to a motivation, insomnia, perfectionism and neuroticism traits of NEO-PI (R2 = 0.389, P < 0.05).ConclusionStudent who tend to be perfect feel more academic stress. The high level of stress related to insomnia and a motivation in medical student. Moreover, personality trait also can influences their psychological stress level.Disclosure of interestThe authors have not supplied their declaration of competing interest.

scholarly journals Grit protects medical students from burnout: a longitudinal study

2020 ◽  
Author(s):  
Raihan Jumat ◽  
Pierce Kah-Hoe Chow ◽  
John Allen ◽  
Siang-Hui Lai ◽  
Nian-Chih Hwang ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Medical Students ◽  
Medical School ◽  
Logistic Regression Analysis ◽  
Character Trait ◽  
Job Resources ◽  
Multivariable Logistic Regression Analysis ◽  
First Year ◽  
Multivariable Logistic Regression

Abstract Background Burnout is a serious issue plaguing the medical profession with potential negative consequences on patient care. Burnout symptoms are observed as early as medical school. Based on a Job Demands-Resources model, this study aims to assess associations between specific job resources measured at the beginning of the first year of medical school with burnout symptoms occurring later in the first year. Methods The specific job resources of grit, tolerance for ambiguity, social support and gender were measured in Duke-NUS Medical School students at the start of Year 1. Students were then surveyed for burnout symptoms at approximately quarterly intervals throughout the year. Using high ratings of cynicism and exhaustion as the definition of burnout, we investigated the associations of the occurrence of burnout with student job resources using multivariable logistic regression analysis. Results Out of 59 students, 19 (32.2%) indicated evidence of burnout at some point across the first year of medical school. Stepwise multivariable logistic regression analysis identified grit as having a significant protective effect against experiencing burnout (Odds Ratio, 0.84; 95%CI 0.74 to 0.96). Using grit as a single predictor of burnout, area under the ROC curve was 0.76 (95%CI: 0.62 to 0.89). Conclusions Grit was identified as a protective factor against later burnout, suggesting that less gritty students are more susceptible to burnout. The results indicate that grit is a robust character trait which can prognosticate burnout in medical students. These students would potentially benefit from enhanced efforts to develop grit as a personal job resource.

scholarly journals Grit protects medical students from burnout: a longitudinal study

2020 ◽  
Author(s):  
Raihan Jumat ◽  
Pierce Kah-Hoe Chow ◽  
John Allen ◽  
Siang-Hui Lai ◽  
Nian-Chih Hwang ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Medical Students ◽  
Medical School ◽  
Logistic Regression Analysis ◽  
Character Trait ◽  
Job Resources ◽  
Multivariable Logistic Regression Analysis ◽  
First Year ◽  
Multivariable Logistic Regression

Abstract BackgroundBurnout is a serious issue plaguing the medical profession with potential negative consequences on patient care. Burnout symptoms are observed as early as medical school. Based on a Job Demands-Resources model, this study aims to assess associations between specific job resources measured at the beginning of the first year of medical school with burnout symptoms occurring later in the first year.MethodsThe specific job resources of grit, tolerance for ambiguity, social support and gender were measured in Duke-NUS Medical School students at the start of Year 1. Students were then surveyed for burnout symptoms at approximately quarterly intervals throughout the year. Using high ratings of cynicism and exhaustion as the definition of burnout, we investigated the associations of the occurrence of burnout with student job resources using multivariable logistic regression analysis. ResultsOut of 59 students, 19 (32.2%) indicated evidence of burnout at some point across the first year of medical school. Stepwise multivariable logistic regression analysis identified grit as having a significant protective effect against experiencing burnout (Odds Ratio, 0.84; 95%CI 0.74 to 0.96). Using grit as a single predictor of burnout, area under the ROC curve was 0.76 (95%CI: 0.62 to 0.89).ConclusionsGrit was identified as a protective factor against later burnout, suggesting that less gritty students are more susceptible to burnout. The results indicate that grit is a robust character trait which can prognosticate burnout in medical students. These students would potentially benefit from enhanced efforts to develop grit as a personal job resource.

scholarly journals Depression, risk factors, and coping strategies in the context of social dislocations resulting from the second wave of COVID-19 in Japan

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yuko Fukase ◽  
Kanako Ichikura ◽  
Hanako Murase ◽  
Hirokuni Tagaya
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Depressive Symptoms ◽  
Coping Strategies ◽  
Logistic Regression Analysis ◽  
Anger Control ◽  
State Anger ◽  
Second Wave

Abstract Background Social dislocations resulting from coronavirus disease 2019 (COVID-19) pandemic have been prolonged, which has led to general population social suppression. The present study aimed to reveal risk factors associated with mental health problems and suggest concrete coping strategies in the context of COVID-19. Methods A web-based survey was conducted in July when Japan was experiencing a second wave of COVID-19. Demographics, Patient Health Questionnaire-9 (PHQ-9), state anger, anger control, and the Brief Coping Orientation to Problems Experienced were measured. Multivariate logistic regression analysis on PHQ-9 scores by set variables was conducted. Results The participants were 2708 individuals, and 18.35% of them were depressed. Logistic regression analysis showed that in the order of odds ratios (ORs), underlying disease (OR = 1.96, 95% confidence interval (CI) = 1.32–2.92), not working (OR = 1.85, CI = 1.22–2.80), negative economic impact (OR = 1.33, CI = 1.01–1.77), state anger (OR = 1.17, CI = 1.14–1.21), anger control (OR = 1.08, CI = 1.04–1.13), age (OR = 0.97, CI = 0.96–0.98), high income (OR = 0.45, CI = 0.25–0.80), and being married (OR = 0.53, CI = 0.38–0.74) were predictors of depressive symptoms. Regarding coping strategies, planning (OR = 0.84, CI = 0.74–0.94), use of instrumental support (OR = 0.85, CI = 0.76–0.95), denial (OR = 0.88, CI = 0.77–0.99), behavioural disengagement (OR = 1.28, CI = 1.13–1.44), and self-blame (OR = 1.47, CI = 1.31–1.65) were associated with probable depression. Conclusions During prolonged psychological distress caused by COVID-19 pandemic, the prevalence of depressive symptoms in Japan was two to nine times as high as before the COVID-19 pandemic, even though Japan was not a lockdown country. Although some coping strategies were useful for maintaining mental health, such as developing ways, alone or with others, to address or avoid social dislocations, the influence of demographics was more powerful than these coping strategies, and medical treatments are needed for high-risk individuals.

scholarly journals Factors Impacting Sumatran Private Medical Students Inclination to Work In Rural Areas

2021 ◽  
Vol 8 (7) ◽  
pp. 392-401
Author(s):  
Mariatul Fadilah
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Medical Students ◽  
Logistic Regression Analysis ◽  
Rural Areas ◽  
Private Universities ◽  
Multivariate Logistic Regression Analysis ◽  
Educational Process ◽  
Binary Logistic Regression Analysis ◽  
Unequal Distribution

At present the progress of Indonesia's health currently has significant problems with the unequal distribution of doctors in rural areas;  doctors are only concentrated in urban areas.  The environment and policies at private universities have a big influence on the educational process, which causes the low interest of private medical students to work in rural areas.  Getting the right results on the pattern of interest in private medical students to work in rural areas will ultimately help policymakers to resolve differences in the distribution of doctors in Indonesia.  This quantitative analytical study was conducted at 12 private medical faculties on the island of Sumatra, Indonesia.  The total sample obtained was 446 active private medical students in 2016 from a total population of 5,106 students.  Data were collected by questionnaire and analyzed using software namely SPSS.  From the results of the binary logistic regression analysis, there are four dominant factors of private students that affect the interest in working in rural areas.  Then a multivariate logistic regression analysis using the enter method was conducted that the tendency of medical students to work in rural areas was 58% for private universities.  By using patterns and student acceptance variables, it is expected to increase the interest of private medical students working in rural areas, and ultimately be able to distribute doctors equally in Indonesia.

ANALISIS HUBUNGAN SARANA, PENGETAHUAN, DAN SIKAP BIDAN PRAKTIK MANDIRI DENGAN KEPATUHAN MENJALANKAN STANDAR PELAYANAN ANTENATAL CARE DI KOTA PADANGSIDIMPUAN

2019 ◽  
Vol 2 (1) ◽  
pp. 27-33
Author(s):  
Megawati Sinambela ◽  
Evi Erianty Hasibuan
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Antenatal Care ◽  
Pregnant Women ◽  
Logistic Regression Analysis ◽  
Care Service ◽  
Multivariate Logistic Regression Analysis ◽  
Bivariate Analysis ◽  
Cross Sectional ◽  
The North

Antenatal care is a service provided to pregnant women to monitor, support maternal health and detect mothers whether normal or problematic pregnant women. According to the WHO, globally more than 70% of maternal deaths are caused by complications of pregnancy and childbirth such as hemorrhage, hypertension, sepsis, and abortion. Based on data obtained from the profile of the North Sumatra provincial health office in 2017, in the city of Padangsidimpuan in 2017 the coverage of ANC visits reached (76.58%) and had not reached the target in accordance with the 2017 Provincial Health Office strategy plan (95%). This type of research was an observational analytic study with a cross sectional design. The population in this study were independent practice midwives who were in the Padangsidimpuan, the sample in this study amounted to 102 respondents. The technique of collecting data used questionnaires and data analysis used univariate, bivariate and multivariate analysis with logistic regression analysis. Based on bivariate analysis showed that there was a relationship between facilities, knowledge and attitudes of independent midwives with compliance with the standards of antenatal care services with a value of p <0.05. The results of the study with multivariate logistic regression analysis showed that the factors associated with the compliance of independent midwives in carrying out antenatal care service standards were attitudes with values (p = 0.026).

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