A qualitative study on tobacco use during the COVID-19 pandemic in Lebanon: Waterpipe and cigarette smokers' views, risk perceptions, and behaviors.

INTRODUCTION: Since the beginning of the COVID-19 pandemic, a growing number of studies have documented more severe COVID-19 symptoms and worse outcomes among smokers compared to non-smokers. The aim of this research is to understand the views, risk perceptions, and behaviors of Lebanese adult smokers during the pandemic. METHODS: We conducted 18 qualitative online structured interviews with adults who smoke cigarettes and waterpipe tobacco residing in Lebanon from November 2020 through April 2021. Participants were recruited predominantly via paid social media ads. Interviews were audio-recorded using Zoom software then transcribed verbatim. Data were analyzed thematically. RESULTS: The findings showed three main themes: changes to smoking behaviors, concerns over the susceptibility and severity of COVID-19, and using coping methods to protect smokers from COVID-19. Although there was an increased risk perception of COVID-19 in relation to smoking, most participants reported an increase in smoking. Instead of being encouraged to quit, participants developed coping strategies against COVID-19 while smoking. CONCLUSIONS: Smoking behavior did not seem to decrease during the COVID-19 pandemic. To support cessation initiatives and raise awareness, effective health messaging aimed at smokers is pivotal. Smoking cessation programs need to be better equipped at supporting people who smoke in finding healthier coping mechanisms during a pandemic. Moreover, policies to regulate the propagation of misinformation are required to prevent the development of a false sense of safety and protection from COVID-19.

Predictive Machine Learning Models for Assessing Lebanese University Students' Depression, Anxiety, and Stress During COVID-19.

University students are experiencing a mental health crisis. COVID-19 has exacerbated this situation. We have surveyed students in 2 universities in Lebanon to gauge their mental health challenges. We have constructed a machine learning (ML) approach to predict symptoms of depression, anxiety, and stress based on demographics and self-rated health measures. Our approach involved developing 8 ML predictive models, including Logistic Regression (LR), multi-layer perceptron (MLP) neural network, support vector machine (SVM), random forest (RF) and XGBoost, AdaBoost, Naïve Bayes (NB), and K-Nearest neighbors (KNN). Following their construction, we compared their respective performances. Our evaluation shows that RF (AUC = 78.27%), NB (AUC = 76.37%), and AdaBoost (AUC = 72.96%) have provided the highest-performing AUC scores for depression, anxiety, and stress, respectively. Self-rated health is found to be the top feature in predicting depression, while age was the top feature in predicting anxiety and stress, followed by self-rated health. Future work will focus on using data augmentation approaches and extending to multi-class anxiety predictions.

A cross-sectional study of university students' mental health and lifestyle practices amidst the COVID-19 pandemic.

OBJECTIVES: University students are regarded as the backbone of society, and their mental health during a pandemic may have a substantial impact on their performance and life outcomes. The purpose of this study was to assess university students' mental health, specifically depression, anxiety, and stress, during Lebanon's extended COVID-19 pandemic, as well as the sociodemographic factors and lifestyle practices associated with it. METHODS: An online anonymous survey assessed the rates of mental health problems during COVID-19, controlling for socio-demographics and other lifestyle practices, in 329 undergraduate and graduate university students. Instruments utilized were the Patient Health Questionnaire (PHQ-9) for depression, the Beck Anxiety Inventory (21-BAI) for anxiety, and the Perceived Stress Scale (PSS-10) for stress. The study employed descriptive statistics and multiple logistic regression models to analyze the association between depression, anxiety, and stress with sociodemographic and lifestyle factors. Results were evaluated using adjusted odds ratios and confidence intervals, with a significance level of 0.05. RESULTS: Moderate to severe rates of depression, anxiety and stress among students were reported by 75.9%, 72.2%, and 89.3%, respectively. The odds of anxiety and stress were higher among women compared to men. Students who used private counseling services had higher odds of anxiety and stress than those who did not. Overall rated health was a major predictor of depression and anxiety, with the "poor" and "fair" overall-reported health groups having higher odds than the "Excellent" group. When compared to those who did not smoke, students who increased their smoking intake had higher odds of depression, anxiety and stress. Students who reduced their alcohol consumption had lower odds of anxiety compared to those who did not consume alcohol. Students who reduced their physical activity had higher odds than those who increased it. Finally, students who slept fewer than seven hours daily had higher odds of depression than those who slept seven to nine hours. CONCLUSION: Our findings indicate a national student mental health crisis, with exceptionally high rates of moderate to severe depression, anxiety, and stress. Factors such as gender, university program, overall rated health, importance of religion in daily decisions, private counseling, smoking cigarettes, alcohol consumption, physical activity, and sleeping, were all found to have an impact on mental health outcomes. Our study highlights the need for university administrators and mental health professionals to consider targeted mental health programming for students, particularly for women and those with poor or fair overall perceived health.

Smoking cessation counselling patterns in cancer patients - survey of Lebanese physicians.

Introduction: Tobacco smoking is a known risk factor for cancer development and smoking cessation can lower this risk and improve outcomes in some cancer patients. Despite that, many cancer patients do not quit smoking after a cancer diagnosis, and smoking cessation counselling is still not routinely provided in cancer care. The aim of this study is to examine patterns in smoking cessation counselling to cancer patients by their treating physicians. Methods: A self-administered, web-based (mobile-friendly), anonymous questionnaire was developed on LimeSurvey and sent by e-mail to Lebanese physicians of different specialties between June 2020 and January 2022. Data were analysed using SPSS and associations between the different items were determined using the χ2 test. Results: A total of 146 physicians filled out the questionnaire. Almost all physicians ask cancer patients about their smoking status, but only 45.9% provide smoking cessation counselling, and only 24% refer patients to smoking cessation counselling programs. Only 27.4% of all respondents have received formal smoking cessation training, and only 27.4% feel capable of providing smoking cessation counselling in their clinic. Specifically, family medicine physicians were more likely to provide smoking cessation counselling in the clinic (69%), more likely to refer patients to a smoking cessation counselling program (44%), and more likely to have received formal smoking cessation counselling training (67%) and more likely to feel capable of providing smoking cessation counselling (93%). Lack of training, lack of knowledge of available programs and the lack of availability of enough programs are leading obstacles contributing to low rates of smoking cessation counselling in cancer patients as reported by the physicians. Conclusion: Our data reveals a deficiency in smoking cessation counselling and referral of cancer patients to smoking cessation counselling programs in our region. This highlights the need for dedicated smoking cessation counselling training for practicing physicians and physicians in training.

Hospitals' Collaborations Strengthen Pandemic Preparedness: Lessons Learnt from COVID-19.

BACKGROUND: The COVID-19 pandemic strained healthcare systems around the world. This study aims to understand the preparedness of private remote hospitals in Lebanon to respond to the pandemic and evaluate the impact of inter-hospital collaborations on the hospitals' readiness. METHODS: A multi-centered study was conducted between August 2020 and June 2021 in ten Lebanese private remote hospitals based on a mixed-methods embedded approach where the quantitative supported the qualitative. Through the AUB-USAID (American University of Beirut-United States Agency for International Development) COVID-19 project, these hospitals received personal protective equipment and medical equipment in addition to COVID-19-related training using the Train-the-Trainer model. The quantitative part used knowledge and evaluation questionnaires and a pre-post-intervention hospital preparedness checklist. The qualitative approach adopted semi-structured interviews with a purposive sample from key hospital personnel. Quantitative data were analyzed using SPSS version 27, and a p-value of <0.05 was considered to be statistically significant. For the qualitative data, a thematic analysis was performed by adopting the six-phase process described by Braun and Clarke. RESULTS: Of the 393 healthcare workers who attended the training and completed the evaluation questionnaire, 326 completed the pre- and post-training knowledge questionnaire. A significant improvement was observed in mean knowledge scores following training for infection control, nursing, and polymerase chain reaction sampling staff (p-value < 0.001, p-value < 0.001, and p-value = 0.006, respectively), but not for housekeeping staff. More than 93% of the participants showed high trainer and content evaluation scores. As for the hospitals' preparedness assessments, there was a clear improvement in the pre- and post-assessment scores for each hospital, and there was a significant difference in the mean of the total scores of partner hospitals pre- and post-USAID-AUB project (p-value = 0.005). These findings were supported by the qualitative analysis, where nine hospitals expressed the positive impact of the USAID-AUB intervention in improving their preparedness to respond to the COVID-19 pandemic at a critical time when it was highly needed. Despite the intervention, persistent challenges remained. CONCLUSIONS: A timely and proactive collaborative program between academic/tertiary care centers and remote community hospitals that includes sharing supplies and expertise is feasible and highly effective during public health emergencies.