Sultan Qanash

Dr. Sultan Qanash

orcid

Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
2 September 2021 in BMJ Open
Verified
Journal Article
Open access
PDF file
SQSultan Qanash
Sultan Qanash
HAHassan Alwafi
Hassan Alwafi
SBShaima Barasheed
Shaima Barasheed
SBShahad Bashnaini
Shahad Bashnaini
RARahaf Andergiri
Rahaf Andergiri
BABasim Alsywid
Basim Alsywid
Background: Shift work and night shifts are very common in healthcare organisations worldwide. However, healthcare professionals doing shift work and night shifts are exposed to several stressors with psychological, social, physical and sleeping consequences. This study aimed to evaluate the effect of night shifts on the psychosocial, physical well-being and sleeping patterns of healthcare professionals in Saudi Arabia. Methods: We conducted an observational cross-sectional study from July to September 2019 at King Abdulaziz Medical City, Jeddah, Saudi Arabia. Convenience sampling technique was used to recruit healthcare providers to participate in the study. The outcomes measured included the effect of working hours of healthcare workers on psychosocial and physical health, substance use, and sleep quality and patterns. Pearson’s χ2 test was used to compare proportions, and Student’s t-test/Analysis of variance (ANOVA) was used to examine the mean differences among different demographic groups. Results: A total of 352 healthcare providers were involved in the study, of whom only 272 were night shift workers. The mean level of job satisfaction was higher among day shift workers than night shift workers: the mean scores were 3.82 (SD=0.93) and 3.48 (SD=1.04), respectively, p=0.007. Moreover, social life was more adversely affected among night shift workers compared with day shift workers: 3.95 (SD=1.11) and 3.61 (SD=1.25), respectively, p<0.030. Likewise, family life was more adversely affected among night shift workers than day shift workers, with a mean of 3.92 (SD=1.10) and 3.50 (SD=1.21), respectively, p<0.006. Around 71% of night shift workers reported having poor-quality sleep compared with 50% of day shift workers (p=0.001). Conclusion: Quality of life is poor among night shift workers than day shift workers, particularly concerning sleep and social and physical outcomes. Further research is needed to investigate factors associated with the quality of sleep and the psychosocial and physical well-being of healthcare professionals working night shifts.

31 January 2022 in Journal of Public Health Research
Verified
Journal Article
Open access
PDF file
ZAZiyad Alzahrani
Ziyad Alzahrani
SZSyed Faisal Zaidi
Syed Faisal Zaidi
HAHatem Alsolami
Hatem Alsolami
BBBader Bashrahil
Bader Bashrahil
NANawaf Alghamdi
Nawaf Alghamdi
SQSultan Qanash
Sultan Qanash
Background: In recent years, consumption of e-cigarettes has increased dramatically. Several studies have focused on the prevalence of e-cigarettes among specific groups of people, using it as a substitute to traditional cigarettes, or the participant knowledge regarding risks. This research was aimed on E-cigarettes’ prevalence and its association to several factors in the general population of Western Saudi Arabia. Design and methods: Using an observational cross-sectional study, data were collected from (n=465) above 18 years old smokers during the survey at public attractions. A validated self-administered questionnaire acquired from previous studies was employed to insure the suitability for the general population of Jeddah Saudi Arabia. Sample size was calculated via Raosoft® and adults of either gender were included in the study. Descriptive or inferential statistical analysis was performed using SPSS. Results: The preponderance of e-cigarette smokers used entertainment as the reason for smoking, with an average of (33.9%). Although one reason for e-cigarette consumption was to cease traditional smoking, results showed an average of (49.4%), which is the majority of those who attempted to cease traditional smoking via e-cigarette, did not succeed in quitting traditional smoking. This study also demonstrated that participant that believed that ecigarette is beneficial had a higher chance to cease conventional smoking than who did not (32.1% versus 14.6%) which is significant (p<0.001). Conclusions: In conclusion, this study estimated the prevalence of e-cigarette consumption among the population of Jeddah, Saudi Arabia along with assessment of elements which help increase the overall e-cigarette consumption in Jeddah.

8 September 2022 in Cureus
Verified
Journal Article
Open access
TTTariq Abdulrahman Tabbakh
Tariq Abdulrahman Tabbakh
HAHashem H. Alhashemi
Hashem H. Alhashemi
KAKhalid Alharbi
Khalid Alharbi
SQSultan Qanash
Sultan Qanash
MAMohammed S. Alzahrani
Mohammed S. Alzahrani
AAAbdulkareem Alhejaili
Abdulkareem Alhejaili
Many international studies have reported the outcomes and predictors of coronavirus disease 2019 (COVID-19); however, only a few national studies have reported predictors of poor outcomes among adult hospitalized patients with COVID-19. Therefore, this study aimed to describe the clinical characteristics and complications of COVID-19 and identify predictors of poor outcomes. This was a retrospective cohort study. All adult patients confirmed with COVID-19 who were admitted at the King Abdulaziz Medical City (KAMC)-Jeddah between March 1, 2020, and December 31, 2020, were included; pediatric and pregnant patients were excluded. The clinical features and complications of COVID-19 were tested for association with poor outcomes (intensive care unit [ICU] admission or death) using chi-square and Fisher’s exact tests. In addition, logistic regression analysis was performed to identify the predictors of poor outcomes. A total of 527 patients were included in this study. Forty-two patients (8%) (6-10, 95% confidence interval [CI]) died: 13 in the general wards and 29 in the ICU. Of the 84 patients admitted to the ICU, 65 underwent invasive mechanical ventilation. Poor outcome affected 97 patients (18%) (15-22, 95% CI). Shortness of breath, oxygen saturation <92%, and abnormal chest x-ray findings were associated with poor outcomes (P-value < 0.001). In addition, lymphocyte counts were significantly lower, while c-reactive protein levels were significantly higher among patients with poor outcomes (P-value < 0.001). The most common complications were acute cardiac (83 patients, 16%), acute kidney (78 patients, 15%), and liver injuries (76 patients, 14%). Predictors of poor outcome were the updated Charlson comorbidity index (CCI) (odds ratio [OR] 1.2 [95% CI 1.1-1.4]), liver injury (OR 2.6 [95% CI 1.3-4.9]), acute kidney injury (OR 4.3 [95% CI 2.3-7.8]), and acute cardiac injury (OR 5.1 [95% CI 2.8-9.4]). COVID-19 disease is associated with significant morbidity and mortality. Predictors of poor outcomes among COVID-19 hospitalized patients were the updated CCI, liver injury, acute kidney, and acute myocardial injuries. Subsequently, the risk of poor COVID-19 outcomes is increased among patients with multiple comorbidities and/or multiple COVID-19 complications.