Posttraumatic stress symptoms among Chinese university students during the COVID-19 pandemic:Prevalence,correlates,and mental health help-seeking

BACKGROUND Revisiting the epidemiology of posttraumatic stress symptoms(PTSSs)among university students during the coronavirus disease 2019(COVID-19)pandemic as well as understanding the mental health help-seeking behavior of individuals with PTSSs has critical implications for public mental health strategies in future medical pandemics.AIM To investigate the prevalence and correlates of PTSSs among university students during the first wave of the COVID-19 pandemic in China and to examine mental health help-seeking behaviors among these students.METHODS A total of 2507 Chinese university students were recruited via snowball sampling.The students completed the Seven-item Screening Scale for Post-traumatic Stress Disorder during the first wave of the COVID-19 pandemic in China.Sociodemo-graphic characteristics,pandemic-related characteristics,and mental health help-seeking behaviors of students with PTSSs were also collected.RESULTS The prevalence of PTSSs among the participants was 28.0%.Seven significant correlates of PTSSs were identified(odds ratio=1.23-3.65,P≤0.024):Female sex,being 19 years old or older,living with others or alone,a low level of family economic status,fair or poor interpersonal relationships,severe or very severe local pandemic,and having family members diagnosed with COVID-19.However,only 3.28%of the students with PTSSs reported seeking help from mental health specialists.Among the 23 students who sought help from mental health specialists,13 opted for online or telephone-based psychological consultation.CONCLUSION Our data suggest that there was a high risk of PTSSs among university students and a high level of unmet mental health needs during the COVID-19 pandemic.The delivery of mental health services online or via telephone is a promising approach to address these unmet needs.

Associations between Rejective Parenting Style and Academic Anxiety among Chinese High School Students:The Chain Mediation Effect of Self-Concept and Positive Coping Style

Background:The phenomenon of academic anxiety has been demonstrated to exert a considerable influence on students’academic engagement,leading to the emergence of a phenomenon known as“learned helplessness”and undermining the selfconfidence and motivation of high school students.Using acceptance-rejection theory,this study elucidated how a rejective parenting style affects Chinese high school students’academic anxiety and explored the urban-rural heterogeneity of this relationship.Methods:Data were analyzed using a stratified whole-cluster random sampling method.There are a total of 30,000 high school students in the three regions of northern and central China(from Shanxi,Hebei and Henan).A sample of 2286 high school students aged 14–19 years was ultimately selected from 2760 respondents for this investigation,which was conducted at the beginning of the 2023 school year.Pearson correlation,ordinary least squares(OLS)regression analysis,path analysis,and Fisher’s permutation test(FPT)were used to examine the effects of rejective parenting style on high school students’academic anxiety.Results:Results indicated a significant positive predictive effect between rejective parenting style and academic anxiety among high school students(β=0.815,t=116.211,p<0.001).Students’self-concept was significantly positively related to positive coping style(β=0.424,t=21.208,p<0.001)and chain-mediated this relationship.Therefore,this parenting style may indirectly mitigate academic anxiety through these mediators.The study also found that the effect of rejective parenting style on academic anxiety varied by students’residential background and was more pronounced in urban areas(0.226)than in rural areas(0.130).Conclusion:The research underscores the imperative for Chinese families to reexamine their utilization of rejection parenting and to prioritize the cultivation of students’intrinsic attributes.These findings offer a theoretical framework and practical evidence for policymakers and educators to develop efficacious and targeted interventions.In particular,greater attention should be directed towards the discrepancies in the manifestation of emotional and academic anxiety between urban and rural students,and prompt guidance should be furnished.

Strategies for Cultivating Public Funded Targeted Normal Students Based on Goal Management Theory : A Case Study of East, West and North Guangdong

Public funded targeted normal students are an important component of China's teacher team construction.Since its implementation in 2007,a large number of outstanding rural teachers who have been striving on the front line of education have been trained.Based on the theory of goal management,this paper explores the problems and countermeasures in the training of public funded targeted normal students.It strives to solve the problems of low willingness to teach and high default rates among public funded normal students,and hopes that the suggestions proposed in this paper can further promote the effective implementation of policies for public funded normal students.

扩展目标跟踪Student’s t逆Wishart平滑算法

脉冲干扰和离群量测信息等因素通常会导致异常的厚尾噪声,这使得以高斯假设为前提的扩展目标跟踪(ETT)估计器的性能急剧降低,针对该问题该文提出一种基于扩展目标随机矩阵模型(RMM)的Student’s t逆Wishart平滑(StIWS)算法。首先,将目标的运动状态以及过程噪声和量测噪声建模为Student’s t分布以表征异常噪声对扩展目标概率分布的影响,将目标扩展状态建模为服从逆Wishart分布的随机矩阵。然后,在Student’s t贝叶斯平滑框架下,详细推导了能在扩展目标的多重特征动态演变的过程中有效估计目标状态的StIWS算法。最后,通过扩展目标跟踪的仿真实验结果和真实场景实验结果验证了所提算法的有效性。

Hepatitis B Vaccination in Medical and Dental Students: A Cross-Sectional Study

Background: Medical and dental students are at risk of Hepatitis B Virus (HBV) infection. The study aimed to assess the vaccination status against Hepatitis B Virus of students in clinical and non-clinical years of a private medical and dental college, and their knowledge, attitude, and awareness about the subject. Methods: A cross-sectional study was conducted using a pretested, self-administered questionnaire among 203 medical and dental students of CMH Lahore Medical College and Institute of Dentistry (CMH LMC & IOD) in Lahore, Pakistan. Participants were evaluated for their knowledge and vaccination status against Hepatitis B Virus. Students were considered to be fully vaccinated (recipients of 3 doses), partially vaccinated (recipients of 1 or 2 doses), and unvaccinated. Comparisons were made between students of clinical and non-clinical years. Data was entered and analysed using Statistical Package for the Social Sciences (SPSS) version 23. Results: Only 66% (n = 134) of the 203 participants had ever received a Hepatitis B Virus vaccine out of which a meagre 17.2% (n = 35) were fully vaccinated. No significant difference was found in vaccine uptake between students of clinical and non-clinical years (p-value = 0.181) despite significant differences seen in the knowledge of vaccination schedule (p-value = 0.001), the prevalence of needle-stick injuries (p-value = 0.001), and knowledge of protocols to be followed after a needle-stick injury (p-value = 0.001). Conclusion: Our study found that a large proportion of the student population is vulnerable to HBV infection. There is a need to create awareness regarding the subject to increase vaccine uptake. HBV vaccination should be offered to all currently enrolled students and be made mandatory at the time of admission in the future.

The Impact of Student Club Development on the Scientific Literacy of Vocational College Students

This paper explores the impact of student club development on the scientific literacy of vocational college students.As society increasingly values innovation and scientific literacy,vocational colleges bear a significant responsibility in cultivating students’overall quality.Taking the Modeling and Simulation student club as a case study,the research team conducted a 12-week study.The results indicate that various club activities aimed at enhancing scientific literacy have positively influenced the development of students’scientific competencies.Students’practical skills and innovative thinking have been effectively improved.Our research demonstrates the positive role of student clubs in enhancing the scientific literacy of vocational college students,providing valuable experience and references for the development of similar clubs in the future.

Frequency and associated factors of accommodation and non-strabismic binocular vision dysfunction among medical university students

AIM:To investigate the frequency and associated factors of accommodation and non-strabismic binocular vision dysfunction among medical university students.METHODS:Totally 158 student volunteers underwent routine vision examination in the optometry clinic of Guangxi Medical University.Their data were used to identify the different types of accommodation and nonstrabismic binocular vision dysfunction and to determine their frequency.Correlation analysis and logistic regression were used to examine the factors associated with these abnormalities.RESULTS:The results showed that 36.71%of the subjects had accommodation and non-strabismic binocular vision issues,with 8.86%being attributed to accommodation dysfunction and 27.85%to binocular abnormalities.Convergence insufficiency(CI)was the most common abnormality,accounting for 13.29%.Those with these abnormalities experienced higher levels of eyestrain(χ2=69.518,P<0.001).The linear correlations were observed between the difference of binocular spherical equivalent(SE)and the index of horizontal esotropia at a distance(r=0.231,P=0.004)and the asthenopia survey scale(ASS)score(r=0.346,P<0.001).Furthermore,the right eye's SE was inversely correlated with the convergence of positive and negative fusion images at close range(r=-0.321,P<0.001),the convergence of negative fusion images at close range(r=-0.294,P<0.001),the vergence facility(VF;r=-0.234,P=0.003),and the set of negative fusion images at far range(r=-0.237,P=0.003).Logistic regression analysis indicated that gender,age,and the difference in right and binocular SE did not influence the emergence of these abnormalities.CONCLUSION:Binocular vision abnormalities are more prevalent than accommodation dysfunction,with CI being the most frequent type.Greater binocular refractive disparity leads to more severe eyestrain symptoms.

Preceptors'experiences in guiding nursing students to use research findings and to implement evidence-based practice

Objective:Evidence-based practices(EBPs)have been taught to students by identifying the best evidence/evidence from research results.However,the experiences of Indonesian nurse preceptors in helping students implement research findings have not been explored thoroughly.This study aimed to explore Indonesian nurse preceptors in guiding nursing students to use research findings.Methods:This study used interpretive phenomenology analysis that involves 9 nurse preceptors from hospitals in West Kalimantan,Indonesia.Semi-structured in-depth interviews were recorded and then transcribed verbatim.Results:Three themes were generated during the analysis:“types of student supervision,”“issues during supervision,”and“the need for research literacy and supervision.”Conclusions:Nurse preceptors need support to supervise the nursing students to use research findings.In addition to upgrading nursing skills,nurse preceptors must receive training in research and its utilization.Developing an appropriate strategy to assist students in using research findings will enhance the promotion of evidence-based nursing practices on a daily basis.

Evaluating the feasibility and preliminary effects of an online compassion training program for nursing students:A pilot randomized controlled trial

Objectives:This study aimed to assess the feasibility of an online compassion training program for nursing students and preliminarily investigate its effects on mindfulness,self-compassion,and stress reduction.Methods:This study employed a randomized controlled trial design.Second-year students from a nursing college in Guangzhou,China,were recruited as research participants in August 2023.The intervention group participated in an 8-week online compassion training program via the WeChat platform,comprising three stages:mindfulness(weeks 1e2),self-compassion(weeks 3e5),and compassion for others(weeks 6 e8).Each stage included four activities:psychoeducation,mindfulness practice,weekly diary,and emotional support.Program feasibility was assessed through recruitment and retention rates,program engagement,and participant acceptability.Program effectiveness was measured with the Mindful Attention Awareness Scale,Self-Compassion Scale-Short Form,and Perceived Stress Scale.Results:A total of 28 students completed the study(13 in the intervention group,15 in the control group).The recruitment rate was 36.46%,with a high retention rate of 93.3%.Participants demonstrated high engagement:69.2%accessed learning materials every 1e2 days,93.3%practiced mindfulness at least weekly,with an average of 4.69 diary entries submitted per person and 23.30 WeChat interactions with instructors.Regarding acceptability,all participants expressed satisfaction with the program,with 92.4%finding it“very helpful”or“extremely helpful.”In terms of intervention effects,the intervention group showed a significant increase in mindfulness levels from pre-intervention(51.54±10.93)to postintervention(62.46±13.58)(P<0.05),while no significant change was observed in the control group.Although there were no statistically significant differences between the two groups in post-intervention self-compassion and perceived stress levels,the intervention group showed positive trends:selfcompassion levels increased(35.85±8.60 vs.40.85±5.54),and perceived stress levels slightly decreased(44.77±8.65 vs.42.00±5.77).Conclusions:This pilot study demonstrated the feasibility of an online compassion training program for nursing students and suggested its potential effectiveness in enhancing mindfulness,self-compassion,and stress reduction.Despite limitations such as small sample size and lack of long-term follow-up,preliminary evidence indicates promising prospects for integrating such training into nursing education.Further research is warranted to confirm thesefindings and assess the sustained impact of this approach on nursing education and practice.

An attention-based teacher-student model for multivariate short-term landslide displacement prediction incorporating weather forecast data

Predicting the displacement of landslide is of utmost practical importance as the landslide can pose serious threats to both human life and property.However,traditional methods have the limitation of random selection in sliding window selection and seldom incorporate weather forecast data for displacement prediction,while a single structural model cannot handle input sequences of different lengths at the same time.In order to solve these limitations,in this study,a new approach is proposed that utilizes weather forecast data and incorporates the maximum information coefficient(MIC),long short-term memory network(LSTM),and attention mechanism to establish a teacher-student coupling model with parallel structure for short-term landslide displacement prediction.Through MIC,a suitable input sequence length is selected for the LSTM model.To investigate the influence of rainfall on landslides during different seasons,a parallel teacher-student coupling model is developed that is able to learn sequential information from various time series of different lengths.The teacher model learns sequence information from rainfall intensity time series while incorporating reliable short-term weather forecast data from platforms such as China Meteorological Administration(CMA)and Reliable Prognosis(https://rp5.ru)to improve the model’s expression capability,and the student model learns sequence information from other time series.An attention module is then designed to integrate different sequence information to derive a context vector,representing seasonal temporal attention mode.Finally,the predicted displacement is obtained through a linear layer.The proposed method demonstrates superior prediction accuracies,surpassing those of the support vector machine(SVM),LSTM,recurrent neural network(RNN),temporal convolutional network(TCN),and LSTM-Attention models.It achieves a mean absolute error(MAE)of 0.072 mm,root mean square error(RMSE)of 0.096 mm,and pearson correlation coefficients(PCCS)of 0.85.Additionally,it exhibits enhanced prediction stability and interpretability,rendering it an indispensable tool for landslide disaster prevention and mitigation.

Comparison of vergence mechanisms between university students with good and poor sleep quality

AIM:To compare the vergence mechanisms between good and poor sleepers in university students.METHODS:A total of 64 university students were recruited in this study.The validated Malay version of Pittsburgh Sleep Quality Index questionnaire(PSQI-M)was used to measure the participants’sleep quality over the past month.Participants were categorized as good sleepers(n=32)and poor sleepers(n=32)based on the PSQI-M scores.Heterophoria and fusional vergences were measured at distance and near.Mann-Whitney U test was used to compare heterophoria,negative fusional vergence(NFV),and positive fusional vergence(PFV)at distance and near between good and poor sleepers.Spearman correlation analysis was used to study the relationship between PSQI-M score and PFV at distance.RESULTS:Both distance and near heterophorias were not significantly different between good and poor sleepers(P>0.05).There was a difference in distance PFV(P<0.05)between good and poor sleepers,but not in distance NFV,near NFV,and near PFV(P>0.05).Distance PFV was negatively correlated with PSQI-M score(rs=-0.33,P<0.05).CONCLUSION:University students with poor sleep quality demonstrates a reduced ability to maintain fusion with increasing convergence demand at distance.Sleep quality assessment during binocular vision examination in university students is recommended.

Attitude and willingness on gamete donation among medical students:An experience from a state university in Sri Lanka

Objective:To assess the attitude and willingness of medical students of the Faculty of Medicine,University of Jaffna,regarding gamete donation.Methods:An institutional-based descriptive cross-sectional study was conducted at the Faculty of Medicine,University of Jaffna,from September 2022 to May 2023 among undergraduate medical students who gave their voluntary participation.A self-administered questionnaire was used as a study instrument to collect data regarding their attitude and willingness toward gamete donation.Results:A total of 345 participants were recruited and their sociodemographic data revealed that 56.8%of the participants were female,62.3%aged between 26 and 30 years,and 92.2%were unmarried.Many of them received information regarding gamete donations during their clinical appointments.Over half(67.8%)of them showed a negative attitude towards gamete donation.Regarding willingness,only 39.7%of participants had a positive approach for being a gamete donor;among them,84.7%preferred anonymous donations.Religion and ethnicity had a significant influence on their attitudes and willingness.In addition,male was also found to be more willing to donate gametes.Conclusions:Most medical students have negative views about gamete donation.Imparting awareness and knowledge of assisted reproductive technology and gamete donation within medical students'sociocultural and ethical backgrounds might facilitate a change in attitude towards gamete donation amongst future medical practitioners.

A Stacking Machine Learning Model for Student Performance Prediction Based on Class Activities in E-Learning

After the spread of COVID-19,e-learning systems have become crucial tools in educational systems worldwide,spanning all levels of education.This widespread use of e-learning platforms has resulted in the accumulation of vast amounts of valuable data,making it an attractive resource for predicting student performance.In this study,we aimed to predict student performance based on the analysis of data collected from the OULAD and Deeds datasets.The stacking method was employed for modeling in this research.The proposed model utilized weak learners,including nearest neighbor,decision tree,random forest,enhanced gradient,simple Bayes,and logistic regression algorithms.After a trial-and-error process,the logistic regression algorithm was selected as the final learner for the proposed model.The results of experiments with the above algorithms are reported separately for the pass and fail classes.The findings indicate that the accuracy of the proposed model on the OULAD dataset reached 98%.Overall,the proposed method improved accuracy by 4%on the OULAD dataset.

Preparedness,knowledge,and perception of nursing students about climate change and its impact on human health in India

Higher education plays an important role in all aspects of sustainability.Infusing climate change and sustainability into the curriculum is important to prepare future health-care professionals for climate change and sustainability actions to build resilient health systems.In this study,we evaluated the preparedness,knowledge,and perception regarding climate change and its impact on human health among Indian nursing students.A quantitative descriptive survey was conducted among 644 undergraduate nursing students studying in three institutes in the southern,northern,and western parts of India.We used a structured online questionnaire with established validity and reliability to collect data.The data were analyzed using Statistical Package for the Social Sciences version 26 software.The results showed that more than half of the students reported experiencing excessive increase(362;56.2%)and decrease(374;58.1%)in temperature in recent years.Though more than three quarters of the students(494;76.7%)accepted the general truth that climate change is mainly caused by human activities,only less than half of the students(309;48.0%)perceived the impact of climate change to be high.Three quarters of the students(483;75.0%)had a high level of knowledge regarding climate change.The students who had a high level of knowledge about climate change exerted a high perceived impact of climate change(χ^(2)=75.47;P<0.01).More than half of the students(50.9%)felt that they needed information about climate change to be included in the nursing curriculum,and only one sixth of the students(16.1%)were highly confident about engaging in climate change-related conversation with patients.Most of the students who participated in the study had basic knowledge about climate change and its impact on human health.However,there is an observed gap between knowledge and their preparedness and confidence to engage in climate change actions.Hence,we propose to strengthen the nursing curriculum by integrating various curricular and co-curricular activities related to climate change,so that future nurses are empowered to become climate change advocates.

Assessment of Knowledge, Attitudes, and Practices Regarding Hepatitis B among Students at Gaston Berger University of Saint-Louis in 2024

Introduction: Hepatitis B is a public health problem. This study aimed to investigate the knowledge, attitudes, and practices of students at Gaston Berger University of Saint-Louis regarding hepatitis B. Methods: A descriptive cross-sectional study was conducted in March 2024 within the university’s social campus among a sample of 800 students. Results: The sex ratio favored men at 1.5, and the average age was 23.3 years with a standard deviation of 2.7 years. Among students, 26.6% had never heard of the term “hepatitis B”, and 60% knew it was a liver disease. Young people and adolescents were identified as the most exposed population group by 52.3% of respondents. According to 53.7% of the sample, hepatitis B would be a curable disease. Furthermore, 95.0% of the surveyed individuals were not vaccinated against hepatitis B, and 36.3% were afraid of living with an infected person. While 63.0% had poor knowledge, 78.8% had negative attitudes, and poor practices were observed in 6.9% of participants. Conclusion: This study highlighted a lack of knowledge and concerning attitudes among students regarding hepatitis B. The results underscore the need to intensify information and awareness campaigns about this disease, as well as the importance of promoting vaccination and encouraging appropriate preventive practices among the student population.

Efficient Intelligent E-Learning Behavior-Based Analytics of Student’s Performance Using Deep Forest Model

E-learning behavior data indicates several students’activities on the e-learning platform such as the number of accesses to a set of resources and number of participants in lectures.This article proposes a new analytics systemto support academic evaluation for students via e-learning activities to overcome the challenges faced by traditional learning environments.The proposed e-learning analytics system includes a new deep forest model.It consists of multistage cascade random forests with minimal hyperparameters compared to traditional deep neural networks.The developed forest model can analyze each student’s activities during the use of an e-learning platform to give accurate expectations of the student’s performance before ending the semester and/or the final exam.Experiments have been conducted on the Open University Learning Analytics Dataset(OULAD)of 32,593 students.Our proposed deep model showed a competitive accuracy score of 98.0%compared to artificial intelligence-based models,such as ConvolutionalNeuralNetwork(CNN)and Long Short-TermMemory(LSTM)in previous studies.That allows academic advisors to support expected failed students significantly and improve their academic level at the right time.Consequently,the proposed analytics system can enhance the quality of educational services for students in an innovative e-learning framework.

Implementation of an international medical student pen-pal club:survey outcomes of perceptions in cultural competency and global health

Background:Pen-pal clubs(PPC)are used worldwide for students to learn about different cultures and other skillsets without the need for travel.Many medical students are interested in global health opportunities abroad but costs,scheduling,and other barriers allow few to participate in such experiences.It is important that medical students have nuanced global medical perspectives and can contribute to the global medical community.Objective:The purpose of this study is to demonstrate that an international medical student PPC improves medical students'perspectives of cultural competency and global health engagement.Methods:In 2021,a novel medical student PPC was established that began between an American and Japanese medical school.Following a shareholders meeting,it was decided that the number of medical schools involved globally be expanded through previous institutional affiliations and online presences.In total,the club connected 50 American medical students and 52 medical students from 17 high-and middle-income countries.The primary form of communication was online;pen-pals were encouraged to communicate monthly using provided topics,although frequency and way of communication was their discretion.In February 2022,American PPC members were emailed a qualitative survey to assess the PPC's impact.Results:The survey was completed by 42%of American PPC members,95%of which were 22-26 years.Participants were preclinical medical students,60%whom were female and the majority either white(47%)or Asian(43%).Overall,the PPC positively influenced American medical students'perception of global medicine,medical education,and their cultural competency after joining the PPC compared to prior(P=0.004).Conclusion:PPCs encourage medical students to think from a global perspective and foster open-mindedness within varying social and cultural contexts.Having a global communication platform for students during medical school education may be an additional way to train aspiring global leaders.

Examination of emotional distress,depression,and anxiety in neurodiverse students:A cross-sectional study

BACKGROUND Neurodiverse students frequently encounter distinct challenges that can adversely affect their mental well-being.This research aimed to investigate emotional distress,depression,and anxiety among neurodiverse students,examine the interrelationships among these factors,and assess the impact of participant characteristics.AIM To address the problem of lack of data pointed out in the neurodiversity research in Nigeria,this study aims to examine the emotional distress,depression,and anxiety in neurodiverse students.METHODS A cross-sectional study was carried out involving 200 neurodiverse students in Nigeria.Participants filled out self-report questionnaires that measured emotional distress(Brief Emotional Distress Scale for Youth),depression(Center for Epidemiologic Studies Depression Scale Revised),and anxiety(State-Trait Anxiety Inventory).The data were analyzed using descriptive statistics,correlation analyses,Bayesian Mann-Whitney U tests,two-way ANOVAs,and Kruskal-Wallis tests.RESULTS Anxiety was found to have the highest prevalence(mean=68.8),followed by depression(mean=34.2)and emotional distress(mean=26.3).Significant positive correlations were identified among all three mental health factors,with the strongest correlation observed between depression and anxiety(rho=0.492,P<0.001).Moderate evidence indicated gender differences in emotional distress(BF10=2.448).The interaction between educational environment and diagnosis had a significant effect on emotional distress(F=3.106,P=0.017).Kruskal-Wallis tests indicated significant variations in anxiety levels across different educational settings(P=0.002),although post-hoc comparisons did not reveal significant differences among specific settings.CONCLUSION This research emphasizes the prevalence of mental health challenges among neurodiverse students,particularly concerning anxiety.The intricate relationships among emotional distress,depression,and anxiety highlight the necessity for thorough mental health support.The impact of educational settings and diagnoses on mental health outcomes stresses the importance of customized interventions.These findings are significant for educators,mental health professionals,and policymakers in formulating targeted support strategies for neurodiverse students.

The Impact of Binge Drinking among Brazilian University Students on Mental Health and Quality of Life: A Post-COVID-19 Pandemic Study

Background: The restrictive lockdown measures that were introduced as a response to the COVID-19 pandemic imposed constraints that affected university students’ drinking habits and mental health. Methods: The current study evaluated the rate of binge drinking among university students as they returned to normal life post-lockdown and whether binge drinking affected their mental health and quality of life. A cross-sectional study included 1382 university students (18 - 24 years) of one private Southwestern university in Brazil. Alcohol Use Disorders Identification, the Beck Depression Inventory-II, and the World Health Organization Quality of Life Brief were used. Data were collected after the COVID-19 pandemic lockdown period (from October 2021 to May 2022). Results: 52.6% of the students reported binge drinking, and 35.6% reported symptoms of depression. Binge drinkers were 1.41 times more likely to experience depressive symptoms when compared with non-binge drinkers, and binge drinking was a risk factor for lower quality of life in all three domains (physical, psychological and environmental). Conclusion: Our study highlights an increased prevalence of binge drinking in university students after the pandemic lockdown. The rise in binge drinking rates was linked to depressive symptoms and worsening of quality of life.

The Impact of Social Media on Dietary Behaviors and Body Image of College Students: A Qualitative Approach

Background: The use of social media platforms for health and nutrition information has become popular among college students. Although social media made information readily accessible in different formats, nutritional misinformation promoted by influencers and non-experts caused negative impact on diet behavior and perception of body image. Previous research indicated that extensive use of social media was positively linked to disordered eating behaviors. Social media platforms like Facebook and Instagram that allow users to follow celebrities intensified exposure to influencers’ messages and images and resulted in negative moods and body dissatisfaction. Objective: This paper aims to explore the impact of social media on college students’ dietary behaviors and body image. Participants: 18 undergraduate students from a public university in the Southern United States were recruited through a mass email. Methods: A cross-sectional qualitative study of three focus groups was conducted. The focus groups were based on guiding open-ended questions. Atlas.ti was used to code and analyze the data using inductive and deductive codes. Results: Three main themes were identified. The conditions theme included elements that explain why and how social media influences the participants’ actions. The actions theme included eating behavior, physical activity, and dietary supplement intake. The consequences theme describes anticipated or actual outcomes of actions such as body image and ideal weight. Conclusions: Social media has had a negative influence on diet behaviors and a positive influence on physical activity. Evidence-based nutrition and weight management information is needed to thwart potential misinformation.