Electronic cigarettes consumption and associated factors among general population in Western Saudi Arabia

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 e-cigarette 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

Pulmonary Arterial Hypertension Specific Therapy in Patients with Combined Post- and Precapillary Pulmonary Hypertension

Background. Specific therapy for patients with PAH is associated with good outcomes. Little is known about the effect of this treatment in patients with Cpc-PH (PAPm ≥ 25 mmHg, PAWP > 15 mmHg, DPG ≥ 7 mmHg, and/or PVR > 3 WU). This study evaluates the outcome of treating patients with Cpc-PH using PAH specific therapy. Methods. The primary outcome was survival. Secondary outcomes were WHO functional class and 6-minute walk distance (6-MWD). Results. Twenty-six patients with Cpc-PH (half with VHD and half with HF) received PAHST. Six patients did not tolerate treatment due to pulmonary edema. No predictors for treatment intolerance were identified. In twenty patients who tolerated the treatment, the mean WHO functional class improved from 2.70±0.21 at initial assessment to 2.22±0.21 (p<0.04) and 2.06±0.21 (p<0.03) at 6 and 9 months, respectively. Mean 6-MWD improved from 276.0±38.50 meters at initial assessment to 343.9±22.99 meters (p<0.04) and 364.6±34.85 meters (p=0.07) at 6 and 9 months, respectively. Twelve patients died during the follow-up period. Mean survival for all patients was 1279.7±193.60 days. Conclusion. PAHST may be beneficial in the treatment of Cpc-PH (both short and long term). Prospective randomized controlled trials of PAHST in this population are needed to assess its potential efficacy

Electronic cigarette among health science students in Saudi Arabia

BACKGROUND: Electronic cigarette (E-cigarette) is an electronic nicotine delivery device that has been advocated as a safe alternative for cigarette smokers. Since the introduction of E-cigarette internationally and in the Kingdom of Saudi Arabia (KSA), it gained popularity, particularly among the youth and young adults. Moreover, many nonsmoker (nicotine-naïve) youth started to use E-cigarette as a new social habit. Recent researches have casted shadows on the E-cigarette safety profile. OBJECTIVE: The aim of this study is to assess the prevalence of E-cigarette use among students of health science colleges in Jeddah-KSA. It also assesses E-cigarette effectiveness as a smoking cessation method and its possible addictiveness. METHODS: The study is an epidemiological, cross-sectional study, which was conducted between November 2017 and December 2017 in three different universities in Jeddah. A self-administered online questionnaire related to E-cigarette and the conventional cigarette was used. RESULTS: A total of 1007 completed an electronic survey which was distributed to 3000 health sciences colleges' students. Of the participants 14.1% were cigarette smoker, 46% of them smoke regularly. Students who smoke half a pack per day and above were 22% of the smokers. More college students use the E-cigarette (27.7%). Moreover, one-fifth of the E-cigarettes users were using it on the regular daily basis. The study found that 42.7% of E-cigarettes users have used it as a tool to quit smoking. Interestingly, more than half (56.7%) of the students who used it to stop smoking has succeeded. However, only 46% of E-cigarettes users who tried to quit vaping have succeeded. Young aged, students believed that smoking is more addictive than vaping or recommended E-cigarette for smoking cessation found to have a higher chance of quitting smoking in the univariate regression analysis. While, in the multivariate analysis, students who believed that conventional smoking is more addictive than E-cigarettes; students started vaping to quit smoking, or used E-cigarettes with fruit flavor found to have significantly higher chance of quitting. CONCLUSION: The E-cigarettes vaping is more prevalent than conventional cigarette smoking among health sciences students in Jeddah-KSA. E-cigarettes are used as a tool to help smoking cessation in less than half of the user. E-cigarettes help some smokers to quit smoking. However, it seems as addictive to the users as conventional cigarette smoking

Effect of Electronic Device Addiction on Sleep Quality and Academic Performance Among Health Care Students: Cross-sectional Study

BackgroundSleep quality ensures better physical and psychological well-being. It is regulated through endogenous hemostatic, neurogenic, and circadian processes. Nonetheless, environmental and behavioral factors also play a role in sleep hygiene. Electronic device use is increasing rapidly and has been linked to many adverse effects, raising public health concerns. ObjectiveThis study aimed to investigate the impact of electronic device addiction on sleep quality and academic performance among health care students in Saudi Arabia. MethodsA descriptive cross-sectional study was conducted from June to December 2019 at 3 universities in Jeddah. Of the 1000 students contacted, 608 students from 5 health sciences disciplines completed the questionnaires. The following outcome measures were used: Smartphone Addiction Scale for Adolescents–short version (SAS-SV), Pittsburgh Sleep Quality Index (PSQI), and grade point average (GPA). ResultsThe median age of participants was 21 years, with 71.9% (437/608) being female. Almost all of the cohort used smartphones, and 75.0% (456/608) of them always use them at bedtime. Half of the students (53%) have poor sleep quality, while 32% are addicted to smartphone use. Using multivariable logistic regression, addiction to smartphones (SAS-SV score >31 males and >33 females) was significantly associated with poor sleep quality (PSQI >5) with an odds ratio of 1.8 (1.2-2.7). In addition, male gender and older students (age ≥21 years) were significantly associated with lower GPA (<4.5), with an odds ratio of 1.6 (1.1-2.3) and 2.3 (1.5-3.6), respectively; however, addiction to smartphones and poor sleep quality were not significantly associated with a lower GPA. ConclusionsElectronic device addiction is associated with increased risk for poor sleep quality; however, electronic device addiction and poor sleep quality are not associated with increased risk for a lower GPA

The rate of ward to intensive care transfer and its predictors among hospitalized COPD patients, a retrospective study in a local tertiary center in Saudi Arabia

Abstract Objective To investigate the prevalence of intensive care unit (ICU) admission and its predictors among hospitalized chronic obstructive pulmonary disease (COPD) patients. Methods An observational retrospective study was conducted. All patients with a confirmed diagnosis of COPD according to the GOLD guidelines between 28 and 2020 and 1 March 2023 at Al-Noor Specialist Hospital were included in this study. Patients were excluded if a preemptive diagnosis of COPD was made clinically without spirometry evidence of fixed airflow limitation. Descriptive results were presented as frequency (percentage) for categorical variables and mean (SD) for continuous variables and to estimate prevalence of ICU admission. Predictors of ICU admission among hospitalized COPD patients were determined using logistic regression analysis. A SPSS (Statistical Package for the Social Sciences) version 25 was used to perform all statistical analysis. Results A total of 705 patients with COPD were included in this study. The mean age was 65.4 (25.3) years. Around 12.4% of the hospitalized patients were admitted to the ICD. Logistic regression analysis identified that older age (OR; 1.92, (1.41–2.62)), smoking (OR; 1.60 (1.17–2.19)), and having specific comorbidities (Hypertension (OR; 1.98 (1.45–2.71)), Diabetes mellitus (OR; 1.42 (1.04–1.93)), GERD (OR; 2.81 (1.99–3.96)), Ischemic heart disease (OR; 3.22 (2.19–4.75)), Obstructive sleep apnea syndrome (OR; 2.14 (1.38–3.33)), stroke (OR; 4.51 (2.20–9.26))) were predictors of ICU admissions among patients with COPD. Conclusions Our study found that a step-up approach to inpatient COPD management requires admission to the ICU in 12.4%, for which age, smoking status, cardiovascular, and stroke were important predictors. Further clinical research is needed to provide a validated model that can be incorporated into clinical practice to monitor this patient population during their admission and identify at-risk individuals for early transfer to higher acuity settings and intensive care units