scholarly journals Impact of Personality Traits and Socio-Demographic Factors on Depression among Doctors and Nurses

2022 ◽  
Vol 11 (1) ◽  
pp. 1-22
Author(s):  
Thapasya Maya
Keyword(s):  
Personality Traits ◽  
Cognitive Abilities ◽  
Work Experience ◽  
Demographic Factors ◽  
Working Hours ◽  
Depression Severity ◽  
High Stakes ◽  
Socio Demographic Factors ◽  
The Impact ◽  
Doctors And Nurses

The workplace is not immune to conflict and stress, specifically when fulfilling people's responsibilities at great personal costs. Doctors and nurses are always on the frontline in hospitals, vaulting from one stressful high-stakes situation to the next. The HEXACO model of personality traits: Honesty-humility, Emotionality, Extraversion, Agreeableness, Conscientiousness, and Openness, has long been hypothesized to be a major predicting factor when determining individuals' responses to stress and susceptibility to experiencing depression. Most research suggests that personality traits resonate with a person's cognitive abilities and how they can deal with stress and depression. However, there is a lack of research on their correlation to depression severity in the Middle East. The current study aimed to investigate the impact of HEXACO personality traits and socio-demographic factors on depression amongst doctors and nurses. A sample of 170 doctors and nurses (62.1% doctors) completed HEXACO-60 and PHQ-9 depression severity questionnaires. The data were analyzed through descriptive statistics, independent samples t-test, ANOVA, correlation, and regression analysis. The findings showed that Honesty-humility was the strongest predictor, while extraversion was the second strongest. Emotionality had the least impact on depression. The relationship between Agreeableness and Openness to Experience with depression was insignificant. However, gender, age, working hours, and work experience were significant predictors of depression. Marital status and level of specialization were insignificant predictors. Thus, it was concluded that not all HEXACO traits and socio-demographics predict depression. Study findings could be utilized in the implementation of employee recruitment, job crafting, positive psychology, and coaching.

scholarly journals The impact of socio-demographic factors on the survival of cancer patients in Zimbabwe

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Idika E. Okorie ◽  
Ricardo Moyo ◽  
Saralees Nadarajah
Keyword(s):  
Risk Factors ◽  
Survival Analysis ◽  
Marital Status ◽  
Cancer Patients ◽  
Hazard Rate ◽  
Significant Risk ◽  
Demographic Factors ◽  
Female Cancer Patients ◽  
Socio Demographic Factors ◽  
The Impact

AbstractWe provide a survival analysis of cancer patients in Zimbabwe. Our results show that young cancer patients have lower but not significant hazard rate compared to old cancer patients. Male cancer patients have lower but not significant hazard rate compared to female cancer patients. Race and marital status are significant risk factors for cancer patients in Zimbabwe.

scholarly journals Computer Programming E-Learners’ Personality Traits, Self-Reported Cognitive Abilities, and Learning Motivating Factors

2021 ◽  
Vol 11 (9) ◽  
pp. 1205
Author(s):  
Aiste Dirzyte ◽  
Aivaras Vijaikis ◽  
Aidas Perminas ◽  
Romualda Rimasiute-Knabikiene ◽  
Lukas Kaminskis ◽  
...  
Keyword(s):  
Personality Traits ◽  
Visual Processing ◽  
Cognitive Abilities ◽  
Computer Programming ◽  
Social Pressure ◽  
Negative Emotionality ◽  
Future Research ◽  
Motivating Factors ◽  
Individual Attitude ◽  
The Impact

Educational systems around the world encourage students to engage in programming activities, but programming learning is one of the most challenging learning tasks. Thus, it was significant to explore the factors related to programming learning. This study aimed to identify computer programming e-learners’ personality traits, self-reported cognitive abilities and learning motivating factors in comparison with other e-learners. We applied a learning motivating factors questionnaire, the Big Five Inventory—2, and the SRMCA instruments. The sample consisted of 444 e-learners, including 189 computer programming e-learners, the mean age was 25.19 years. It was found that computer programming e-learners demonstrated significantly lower scores of extraversion, and significantly lower scores of motivating factors of individual attitude and expectation, reward and recognition, and punishment. No significant differences were found in the scores of self-reported cognitive abilities between the groups. In the group of computer programming e-learners, extraversion was a significant predictor of individual attitude and expectation; conscientiousness and extraversion were significant predictors of challenging goals; extraversion and agreeableness were significant predictors of clear direction; open-mindedness was a significant predictor of a diminished motivating factor of punishment; negative emotionality was a significant predictor of social pressure and competition; comprehension-knowledge was a significant predictor of individual attitude and expectation; fluid reasoning and comprehension-knowledge were significant predictors of challenging goals; comprehension-knowledge was a significant predictor of clear direction; and visual processing was a significant predictor of social pressure and competition. The SEM analysis demonstrated that personality traits (namely, extraversion, conscientiousness, and reverted negative emotionality) statistically significantly predict learning motivating factors (namely, individual attitude and expectation, and clear direction), but the impact of self-reported cognitive abilities in the model was negligible in both groups of participants and non-participants of e-learning based computer programming courses; χ² (34) = 51.992, p = 0.025; CFI = 0.982; TLI = 0.970; NFI = 0.950; RMSEA = 0.051 [0.019–0.078]; SRMR = 0.038. However, as this study applied self-reported measures, we strongly suggest applying neurocognitive methods in future research.

Is the choice of less-polluting modes of transport for non-work purposes affected by socio-demographic factors? Evidence from India

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Taru Saigal ◽  
Arun Kr. Vaish ◽  
N.V. Muralidhar Rao
Keyword(s):  
Public Transportation ◽  
Demographic Factors ◽  
Sampling Technique ◽  
Policy Makers ◽  
Content Type ◽  
Mode Of Transport ◽  
Socio Demographic Factors ◽  
The Impact ◽  
First Time ◽  
The City

PurposeUsing survey data of a developing country city, this study aims to examine the impact of different socio-demographic factors on the choice of less-polluting modes of transport for purposes other than work.Design/methodology/approachStratified random sampling technique is employed and data on socio-demographic characteristics and mode of transport used is collected. Descriptive statistics complemented with a logit model of choice probabilities is implemented on the data obtained.FindingsMajority of the population in the city uses motorized means of transportation irrespective of the socio-demographic changes existing among them. Women, the individuals belonging to the youngest age group, the least economically well-off group of people, the least educated and the non-working are the individuals more likely to use more of less-polluting modes and less of more-polluting modes for non-work purposes as compared to their counterparts.Research limitations/implicationsThe study also calls for the development of an efficient and secured system of public transportation and non-motorized transportation in the city in such a way so as to neither hamper the goal of sustainability nor the goal of empowerment.Originality/valueTo the best of the authors’ knowledge, this is the first time a comprehensive analysis of the influence of socio-demographic factors on choice of type of mode of transport is carried out in this region of the developing world. This analysis will facilitate the policy makers in catering to the transportation needs of different segments of the society.

scholarly journals Socio-demographic and psychosocial predictors of rheumatoid arthritis health outcome

2004 ◽  
Vol 10 (4) ◽  
pp. 10
Author(s):  
Pamela Naidoo ◽  
Graham C Lindegger ◽  
Girish M Mody
Keyword(s):  
Rheumatoid Arthritis ◽  
Health Outcome ◽  
Health Status ◽  
Functional Status ◽  
Psychological Factors ◽  
Demographic Factors ◽  
Self Report ◽  
Tender Joint ◽  
Socio Demographic Factors ◽  
The Impact

Objectives. To investigate the psychosocial aspects of rheumatoid arthritis (RA) and to determine the predictors of RA health outcome in a low socio-economic group of clinic-based adult RA patients.Design. This was a cross-sectional study. Clinic-based adult RA patients were subjected to a series of self- administered questionnaires to assess their experience of the disease. Coping, social support, causal attribution, cognitive illness representation, pain and functional status were assessed. Joint status, which indicated the degree of severity of joint inflammation for each RA patient, was assessed by a rheumatologist.Subjects. The sample consisted of 186 RA patients with a mean age of 49.51 years and a mean duration of RA of 10.80 years.Outcome measures. Health status measures defined by pain and functional status, and joint status.Results. Psychological factors, especially coping, were more significant predictors of self-report of pain and functional status than socio-demographic factors. Both socio-demographic factors and psychological factors (especially coping) were found to be significant predictors of swollen and tender joint status.Conclusion and recommendations. As a psychological factor, coping emerged as a consistent predictor of both self-report of pain and functional status, and swollen and tender joint status. It is recommended that to enhance the quality of life of RA patients and improve their health status, the impact of psychosocial factors such as the way in which patients cope with their disease status, must be considered. Further, it is recommended that health professionals collaborate not only in attempting to refine the theoretical conceptualisation of RA, but also in devising holistic and multidisciplinary care for individuals afflicted with the disease.

scholarly journals Socio-demographic influences on trends of fish consumption during later adult life in the Whitehall II study

2008 ◽  
Vol 100 (5) ◽  
pp. 1116-1127 ◽  
Author(s):  
Tasnime N. Akbaraly ◽  
Eric J. Brunner
Keyword(s):  
Fish Consumption ◽  
Demographic Factors ◽  
Fish Intake ◽  
Phase 3 ◽  
Mixed Effect ◽  
Age Related ◽  
Total Fish ◽  
Socio Demographic Factors ◽  
Fish And Shellfish ◽  
The Impact

Our aim was to investigate how socio-demographic factors influence trends and age-related trajectories of fish consumption. We examined consumption of total, fried and recommended fish (white and oily fish, and shellfish) in the Whitehall II study over 11 years in participants aged 39–59 years at phase 3. The cohort included 8358 British civil servants who completed a FFQ at phase 3 (1991–3), phase 5 (1997–9, n 5430) and phase 7 (2002–4, n 5692). Occupational grade, ethnicity, marital and retirement status were collected at each phase. To analyse changes in age-related trends of fish intake over time according to socio-demographic characteristics, we applied a random mixed-effect model. Over the follow-up a significant increase in consumption of ‘recommended’ (mean: 1·85 to 2·22 portions/week) and total fish (mean: 2·32 to 2·65 portions/week) and a decreasing trend in fried-fish intake (mean: 0·47 to 0·43 portions/week) was observed. Recommended, fried and total fish consumption differed by occupational status, ethnicity, marital status and sex. The trend of age-related fish intake diverged significantly by ethnicity. In South Asian participants (n 432), slope of recommended-fish consumption was significantly higher compared with white participants (0·077 v. 0·025 portions/week per year). For black participants (n 275) slope of fried-fish intake was significantly higher compared with white participants (0·0052 v. − 0·0025 portions/week per year). In terms of public health, our descriptive and analytical work allows detailed understanding of the impact of socio-demographic factors on fish intake and its age-related trends. Such information is valuable for food policies that seek to promote health equity.

Occupational Stress among Team Leaders Working in IT Companies in Bangalore

2012 ◽  
Vol 11 (1) ◽  
pp. 87
Author(s):  
Hemalatha K ◽  
Noopura Sundaresh
Keyword(s):  
Marital Status ◽  
Occupational Stress ◽  
Demographic Factors ◽  
Working Hours ◽  
Stress Index ◽  
Team Leaders ◽  
Male And Female ◽  
Significant Difference ◽  
Socio Demographic Factors

The research aims to measure occupational stress of team leaders working at IT companies in Bangalore. The study also focuses on assessing the levels of occupational stress on four socio demographic factors i.e. age, gender, marital status and working hours. A sample of 100 team leaders working in three different IT companies were studied using occupational stress index by AP Singh and AK Srivastava. The results showed that 52% of the respondents have low occupational stress and 48% of the respondents have high occupational stress. There is no significant difference between male and female executions with respect to occupational stress. The team leaders who are above the age of 30 years tend to experience higher occupational stress than the team leaders who are under the age of 30 years. Team leaders who are divorced have higher occupational stress than the others .Team leaders who work more than 10 hours per day experience higher occupational stress than team leaders who work less than ten hours. Keywords: Occupational stress, team leaders, IT sector

scholarly journals Relationship Between Big Five Personality Traits and Media Multitasking Behavior of the Indian Sample

2021 ◽  
Vol 17 (1) ◽  
pp. 50-58
Author(s):  
S. Shukla
Keyword(s):  
College Students ◽  
Personality Traits ◽  
Big Five ◽  
Age Groups ◽  
Big Five Personality Traits ◽  
Big Five Personality ◽  
Media Multitasking ◽  
Socio Demographic Factors ◽  
The Impact ◽  
The Relationship

Media multitasking (MMT) is a growing phenomenon among Indian college students. Previous studies on other nationalities highlight that user’s personality traits play an important role in engaging them in this behavior. Using a sample of Indian college students, this study examined the relationship between MMT and the Big Five personality traits. It also examined the impact of age on the dynamics between personality and MMT. Results suggested that after controlling the socio-demographic factors, traits like openness to experience, extraversion, and neuroticism are positively related with high MMT. However, these observations are found to be moderated by age. These findings may help designing separate intervention techniques for alleviating excessive MMT behavior for different age groups considering their personality traits.

Sign in / Sign up

Export Citation Format

Share Document