A comparative study of health related quality of life among academician &amp;#x2014; A case study

Alsaikhan

2020

JPRI

Introduction: These days, living a good quality life has become a luxury rather than a necessity and investigating the quality of life (QoL) across teaching professionals seems to be beneficial. This study aimed to determine the association between demographic and socioeconomic variables and the QoL among pharmacy academics. Methods: Stratified random sampling was applied to collect data using a pre-validated and self-administered questionnaire the Duke Health Profile (DHP). Statistical Package for Social Science (SPSS) ver. 22.0 was used to analyze the descriptive and inferential data. Results: One hundred and fifty-five pharmacy academics were included in this study where majority 98 (63.2%) were males and 57 (36.8%) were females. The majority 74.2% weremarried and 68.4% were having more than 5 years of teaching experience. A total of 123 ofthe pharmacy academics were more than 35 years old which accounted for 79.4% of the respondents. Various determinants like age, residence, gender, administrative position, marital status, monthly income, and teaching experience are the main factors affecting QoL among pharmacy academics. Conclusion: From the present study it could be concluded that QoL among pharmacy academics was significantly influenced by numerous socio-economic and demographic determinants.

Section: Discussionmentioning

confidence: 69%

A Cross-sectional Assessment of Quality of Life among Pharmacy Academics

Alsaikhan

2020

JPRI

“…This is maybe due to the high amount of household tasks, commitment to family, and lack of time for entertainment for females [3,7,8]. Besides, Maarof et al [16] stated in their study that female academics hada lower HRQoL compared to male academics [16]. Other factors affecting the social health domain were the type of institution, marital status, PCPs, Continuing Professional Development (CPD) courses attended, and involved in the research study.…”

Section: Discussionmentioning

confidence: 99%

“…According to a study done on the faculty members of University Stanford, there were significant differencesobserved in the distribution of times spent at the workplace [19]. Apart from that, they also hada different proportion of workloads which can affect theirHRQoL [16]. Jafari et al [3] stated that there wasa statistically significant difference observed between males and females in all of the domains [3].…”

Section: Discussionmentioning

confidence: 99%

Health-Related Quality of Life among University Healthcare Academics

Alsaikhan

2020

JPRI

Introduction: Having a good health-related quality of life (HRQoL) is important to ensure good job performance. However, it is subjective and it cannot be measured easily. This study aimed to evaluate HRQoL among universityhealthcare academics in public andprivate universities. Method: In this study,a stratified random sampling approach was employed. The strata were created based on departments in the universities. A random sample from each stratum was taken in a number proportional to the stratum's size when compared to the overall target population. A validated questionnaire comprising two sections was administered online to collect the data. Descriptive and inferential statistical analysis (Mann-Whitney U test and Kruskal Wallis H test) were applied using SPSS version 22. Results: Out of all the total 130 respondents, 57 (43.8%) were from a private university and the other 73 (56.2%) were from a public university. There were 61 (46.9%) male respondents and 69 (53.1%) female respondents. HRQoL according to the studied domains of the DUKE health profile was associated with various demographic and socioeconomic variables such as type of institution, department/faculty, age, gender, number of children, and years of experience. Conclusion:The demographic and socioeconomic variables were strongly associated with the HRQoL among university healthcare academics.

“…A special positive effect to mental well-being contribute personal meaningfulness and high significance of the work (0.505; p < 0.0001). 37 Maarof et al (2012) present the results of a QoL assessment using the SF-36 questionnaire among staff at universities in Malaysia. 38 The study included 84 men and 177 women aged 18-69 years.…”

Section: Geriatric Depression Scale (Gds)mentioning

confidence: 99%

“…37 Maarof et al (2012) present the results of a QoL assessment using the SF-36 questionnaire among staff at universities in Malaysia. 38 The study included 84 men and 177 women aged 18-69 years. The authors concluded that average quality of life indicators for all domains were lower than in the general population of Malaysia.…”

Section: Geriatric Depression Scale (Gds)mentioning

confidence: 99%

The Russian scientists’ quality of life and cognitive status

et al. 2021

Aim of the study was assessment of executive functions and quality of life (QoL) among scientists aged 22-80 years working in state research centers. The screening test included several questionnairs: “Cognitive screening”, “Age is not a barrier”, “Geriatric Depression Scale" (GDS) and Social Functioning 36 (SF-36) survey. According to the assessment, the group of scientists showed problems related to physical health disorders and presence of numerous risk factors for professional efficiency decline. High rate of preasthenia (39.62%) and asthenia syndrome (11.32%) was identified. This might be due to high level of stress and informational load that causes depletion of functional organism reserves. The rate of cognitive executive functions decline was low (3.77%), stated in young age and possibly associated with depression and asthenia. In comparison to general population, Russian scientists showed a generally high level of quality of life (more than 70% in all domains), best indicators on the scales of "Body Pain" and "Vitality", but lower indicators of "Role functioning” due to the emotional state. In general, scientists’ quality of life decreased with age, especially "Physical Functioning" and "Body Pain" scales. Social skills such as "Role functioning due to emotional state" increased with age. In the scientists group, connection between cognitive functions and the quality of life was observed. Specifically, between "Physical Functioning", "General Health", "Vitality", "Social Functioning" and "Mental Health".