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.

A Survey on the Current Situation of Prehospital First Aid about Knowledge, Belief and Behavior among University Students in Jingzhou

Objective: To understand the current situation of prehospital first aid knowledge, attitude and behavior of university students in Jingzhou City. Methods: A prehospital first aid knowledge questionnaire and the convenience sampling method were used to survey 307 university students in Jingzhou City. Results: The mean score of prehospital first aid knowledge of university students in Jingzhou City was 12.85 ± 2.643, the mean score of attitude was 50.73 ± 4.114, and the mean score of behavior was 39.05 ± 8.898;There was a statistically significant difference in the scores of prehospital first aid knowledge, attitude, and behavior of university students depending on whether or not they had received prehospital first aid training (P P Conclusion: Jingzhou University students have a positive attitude toward pre-hospital first aid, but the knowledge level and behavior are low, which suggests that the government, society and the school should create good conditions to promote the improvement of pre-hospital first aid knowledge and ability.

Study on the Influence of New Media on College Students’ Physical Exercise Behavior

New media is becoming an important method to promote physical exercise,and it is also an essential factor affecting the physical exercise behavior of college students.This study takes the influence of new media sports information on college students’physical exercise behavior as the research objective.By using a questionnaire survey and mathematical statistics,545 college students in Shandong Province of China are selected as research samples.Based on the theory of new media exposure,fitness behavior theory,and self-efficacy theory,this study systematically discusses the influence and mechanism of new media exposure on the physical exercise behavior of college students in Shandong Province,so as to help college students improve their physical exercise behavior.

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.

The Effect of Procrastination on Physical Exercise among College Students—The Chain Effect of Exercise Commitment and Action Control

Background:Exercise procrastination is prevalent among college students,causing decline in physical fitness.It is imperative to investigate the mechanism affecting college students’physical activity behaviors.This study was aimed at investigating the effect of procrastination on college students’physical exercise behavior,and the chain mediation effects of exercise commitment and action control(AC),to provide a theoretical basis for interventions targeting physical exercise behavior among college students.Methods:A questionnaire survey was conducted using convenience sampling.The General Procrastination Scale,Exercise Commitment Scale,Action Control Scale,and Physical Activity Rating Scale-3 questionnaires were used.Participants were 581 college students(age 19.27±0.94 years;243 males and 338 females).Statistical methods of regression analysis and structural equation modeling(SEM)were applied.Results:Procrastination,exercise commitment,and action control were found to be significant predictors of physical exercise behavior.Among these predictors,exercise commitment and action control showed full mediation effects in the relationship between procrastination and physical exercise behavior,and explained 25.48%and 30.77%of the total variance,respectively.The chain mediation effect of exercise commitment-action control was significant,accounting for 22.60%of the total variance,and the total indirect effect was 79.33%.Conclusion:Therefore,higher procrastination was associated with less participation in physical exercise behavior among college students.Improvements in exercise commitment and volitional decision-making ability for physical exercise behavior promoted physical exercise behavior,and increased exercise commitment promoted volitional decision-making ability among the students.The chain reaction effect of exercise commitment and action control also buffered the negative effects of procrastination on physical exercise behavior,thereby increasing physical exercise behavior among college students.

Evidence for the Reliability and Validity of the Arabic Version of the Student Risk Screening Scale for Internalizing and Externalizing Behaviors (SRSS-IE)

School-based universal screening for behavioral/emotional risk is a necessary first step to providing services in an educational setting for students with emotional and behavioral disorders (EBDs). Psychometric properties are critical to making decisions about choosing a screening instrument. The purpose of the present study was to examine the psychometric properties of the student risk screening scale for internalizing and externalizing behaviors (SRSS-IE). Participants included 3145 students and their teachers. Item-level analyses of the current sample supported the retention of all items. The internal consistency of the SRSS items ranged from 0.83 to 0.85. Convergent validity between the SRSS-IE and a well-established screening tool, the strength and difficulties questionnaire (SDQ), was found for the total score (r = 0.70). Additionally, the results of this study demonstrate strong social validity, suggesting the SRSS-IE to be a useful and functional screening tool. We conclude that the SRSS-IE is a valid and reliable instrument for assessing the level of emotional and behavioral difficulties among elementary students.

Relationship between Moral Elevation and Prosocial Behavior among College Students: The Mediating Role of Perceived Social Support and Moderating Role of Moral Identity

Objectives:The present study examined the relationship between college students’moral elevation and prosocial behavior.As well as the mediating role of perceived social support and the moderating role of moral identity.Methods:A sample of 489 college students were recruited for the study.They were asked to complete a series of questionnaires,including Moral Elevation Scale(MES),Perceived Social Support Scale(PSSS),Moral Identity Scale(MIS)and Prosocial Tendency Measure(PTM).As part of the data analysis,we used correlation analysis and the method of constructing latent variable structural equation model to explore the mechanism of action among variables.Results:After controlling for gender,discipline,the research found that:(1)Moral elevation positively predicted the prosocial behavior among the college students;(2)Perceived social support mediated the relationship between moral elevation and prosocial behavior;(3)Moral identity moderated the second half of the model(i.e.,the link between perceived social support and prosocial behavior).Specifically,the mediating effect of perceived social support was stronger for college students with high-level moral identity compared to those with low-level moral identity.Conclusions:Moral identity significantly moderates the mediating effect of perceived social support,and the mediating model with moderated is established.

Peer pressure and academic stress among junior high school students:a cross-sectional study

Objective:The objective of the study was to explore the connection between peer pressure and academic stress among junior high school students.Methods:This descriptive correlational study was conducted to investigate the link between perceived peer pressure and academic stress.The study involved a total of 525 adolescents,aged 14-19 years,drawn from 6 public junior high schools(PJHS)in Padang,Indonesia,using purposive sampling.Academic stress and perceived peer pressure were assessed using the Educational Stress Scale for Adolescents(ESSA)and the Perceived Peer Pressure Scale(PPPS).Results:The findings indicated significant variations in stress levels among students in different grade levels(7th,8th,and 9th grades)(P<0.05),while there were no noteworthy differences in peer pressure across these grade levels(P>0.05).Additionally,there was a positive correlation observed between perceived peer pressure and academic stress(r=0.14,P<0.05).Furthermore,multiple regression analyses,incorporating demographic variables and perceived peer pressure as independent factors,yielded statistically significant results(adjusted R^(2)=0.082,F=4.33,P<0.001).Notably,peer pressure had a direct impact on academic stress among adolescents,with class level and parents’educational background mediating the relationship between academic stress and adolescent behavioral problems.Conclusions:These findings underscore the importance of addressing both external and internal factors at the individual,family,school,and societal levels to enhance adolescents’psychological resilience and mitigate problem behaviors.

Investigating College Students’ Diet and Physical Activity Behaviors Regarding Non-Communicable Diseases Prevention in China

We aimed to investigate if college students’ dietary and physical activity adhered to the Chinese Dietary Guidelines, the Composing Editorial Board of Physical Activity Guidelines, and WHO recommendation for NCDs prevention. Methods: A 3-day (2 weekdays and 1 weekend day) 24-hour (24-HRs) dietary recall was conducted to record details of participants’ food consumption. One-way analysis of variance (ANOVA) was applied to examine the influence of the identified demographic variables (including BMI, gender, major, family monthly income, and place of household registration) on the 8 food groups’ consumption. We analyzed the effect of the various demographic variables on sodium intake by the student’s t-test. The questionnaire, International Physical Activity Questionnaire (IPAQ)-Short Form, was utilized to assess participants’ physical activity (PA) level. The Wilcoxon-Mann-Whitney was applied to analyze participants’ physical activity. Results: Our research indicated participants consumed much fewer fruits and vegetables and excessive meats on average for both males and females regarding NCDs prevention. Conclusion: Participants’ dietary intake did not comply with the Chinese Dietary Guide-lines recommendation for chronic diseases prevention. Nutrition knowledge and health education are needed for college students. .

Correlation and pathways of behavioral activation systems mediating physical activity level and depressive symptoms among college students

BACKGROUND Depression is a common mental disorder among college students.The main symptoms include being persistent low mood,sad emotional experiences,lack of pleasure,listlessness,and impaired cognitive function accompanied by tendencies of self-harm and suicide.AIM To clarify the pathways and effects of the behavioral activation system between physical activity and depressive symptoms in college students with depressive symptoms.METHODS This cross-sectional research screened 3047 college students.Of these,472 had depressive symptoms,with a depression detection rate of 15.49%.Furthermore,442 college students with depressive symptoms were analyzed.A one-way analysis of variance and Pearson’s correlation,linear regression,and structural equation modeling analyses were used to explore the correlations and pathways of the interactions between the variables.RESULTS Depressive symptoms were significantly negatively correlated with physical activity(r=-0.175,P<0.001),the behavioral activation system(r=-0.197,P<0.001),and drive(r=-0.113,P=0.017).Furthermore,it was negatively correlated with fun-seeking(FS)(r=-0.055,P=0.251);however,it was not significant.Physical activity was significantly positively correlated with reward responsiveness(RR)(r=0.141,P=0.003)and drive(r=0.124,P=0.009)and not significantly positively correlated with FS(r=0.090,P=0.058).The mediating effect of RR between physical activity and depressive symptoms was significant[B=-0.025,95%confidence interval(95%CI):-0.051 to-0.008,P=0.001].The direct and total effects of physical activity on depressive symptoms and were significant(B=-0.150,95%CI:-0.233 to-0.073,P<0.001;B=-0.175,95%CI:-0.260 to-0.099,P<0.001),respectively.CONCLUSION As physical activity levels increased,depression scores among college students decreased.The mediating effect of RR between physical activity and depressive symptoms was significant.Therefore,colleges and universities should encourage college students with depression to increase their physical activity and improve their behavioral activation system.Particular attention should be paid to RR,which may reduce the prevalence of depressive symptoms.

Factors Which Are Connected With Deviated Behaviors of High School Students

The school is an educational institution,where students are educated and learn under the guidance of teachers,but in some cases,students do not respect the rules set by the school.In many cases,students,while being in the school,during or out of the learning process,cause trouble,presenting behaviors that are contrary to the rules of the school,but also of the society in general.Students,trying to be as active as possible,present deviant behavior,not fulfilling the obligations presented by teachers,hindering the learning process,harassing others,and engaging in other behaviors,which are detrimental to the individual,the school,and society as a whole.The school should play a key role in creating a suitable and educational environment for students,in order to create valuable generations for the country.There are a number of internal and external factors that influence the behavior of individuals.In many cases,family factors and demographic factors in general play an important role in student behavior in the classroom.Parental education,employment,housing,and many other factors influence student behavior.The study of this problem aims to clarify the correlation of factors with deviant behaviors of students in the classroom.The focus of the study is on high school students.From the empirical results,it was found that there is a correlation between student residence and deviant behavior,student school level and deviant behavior,family structure and student behavior in the classroom.

A study of the effects of students' cognitive styles on their learning behaviors of online database search strategies

Purpose: Based on a quasi-experimental design, this study sought to investigate the effects of two different cognitive styles, field independence and field dependence, on students' learning behaviors of online database search strategies.Design/methodology/approach: An experiment was carried out among senior students in a Chinese university.Findings: The field independent(FI) subjects performed better in terms of their search strategy scores. When comparing how many people in each cognitive style group learned the targeted search strategies, more field dependent(FD) subjects were successors, whereas the FI subjects were more inclined to learn from their past experience. When analyzing the reasons for the subjects' selection of search strategies, we found that the FI subjects demonstrated more rational thinking behaviors than the FD subjects.Research limitations: Only 28 students participated in the study, which was a relatively small sample size. A larger sample will give more information and therefore more precise results.Practical implications: This research can provide some suggestions to the information system designers on how the system interface can be better designed to suit the cognitive styles of different users.Originality/value: So far, few studies have been published about the effects of users' cognitive styles on their learning behaviors of online database search strategies.

Risk factors and digital interventions for anxiety disorders in college students:Stakeholder perspectives

The worldwide prevalence of anxiety disorders among college students is high,which negatively affects countries,schools,families,and individual students to varying degrees.This paper reviews the relevant literature regarding risk factors and digital interventions for anxiety disorders among college students from the perspectives of different stakeholders.Risk factors at the national and societal levels include class differences and the coronavirus disease 2019 pandemic.College-level risk factors include the indoor environment design of the college environment,peer relationships,student satisfaction with college culture,and school functional levels.Family-level risk factors include parenting style,family relationship,and parental level of education.Individual-level risk factors include biological factors,lifestyle,and personality.Among the intervention options for college students'anxiety disorders,in addition to traditional cognitive behavioral therapy,mindfulness-based interventions,psychological counseling,and group counseling,digital mental health interventions are increasingly popular due to their low cost,positive effect,and convenient diagnostics and treatment.To better apply digital intervention to the prevention and treatment of college students'anxiety,this paper suggests that the different stakeholders form a synergy among themselves.The nation and society should provide necessary policy guarantees,financial support,and moral and ethical supervision for the prevention and treatment of college students'anxiety disorders.Colleges should actively participate in the screening and intervention of college students'anxiety disorders.Families should increase their awareness of college students'anxiety disorders and take the initiative to study and understand various digital intervention methods.College students with anxiety disorders should actively seek psychological assistance and actively accept and participate in digital intervention projects and services.We believe that in the future,the application of methods such as big data and artificial intelligence to improve digital interventions and provide individualized treatment plans will become the primary means of preventing and treating anxiety disorders among college students.

Digital interventions empowering mental health reconstruction among students after the COVID-19 pandemic

With the gradual end of the coronavirus disease 2019(COVID-19)pandemic,the reconstruction of students’mental health is urgently necessary.Digital interventions offer advantages such as high accessibility,anonymity,and accurate identification,which can promote the reconstruction of students’mental health through the provision of psychological support platforms,psychological assessment tools,and online mental health activities.However,we recognize that digital interventions must undergo many adjustments,and corresponding ethical norms require further clarification.It is crucial for different stakeholders to collaborate and work toward maximizing the effectiveness of digital interventions for the reconstruction of mental health after the COVID-19 pandemic.

Multifactorial study of mobile phone dependence in medical students: Relationship to health-related lifestyle, Type A behavior, and depressive state

We investigated factors contributing to mobile phone dependence. To 139 medical students, we administered a self-reporting questionnaire designed to evaluate mobile phone dependence, health-related lifestyle, patterns of behavior, and depressive state. Multivariate logistic regression analysis revealed that scores for poor health-related lifestyle, Type A behavior pattern, and presence of depression are independently associated with degree of mobile phone dependency. These findings suggest that persons with an unhealthy lifestyle, Type A behavior traits, or depression might benefit from mobile phone use guidance.

HIV/AIDS related perception and behavior: A comparative study among college students of different majors in China

Objective:In order to carry out proper education and intervention of AIDS based on different features and demands of different majors,this study aimed to compare the difference of college students from six majors in China in the aspects of AIDS-related knowledge,attitudes and behaviors.Methods:A questionnaire survey was carried out among 18,644 students in 30 colleges/universities from 9 provinces of China,who were recruited through stratified cluster sampling.AIDS-related knowledge,attitude,condom-use intention,self-efficacy and sexual behavior of these students were investigated.Results:AIDS-related knowledge level of students majoring in education was the lowest while that of medical students was the highest as well as highest self-efficacy of condom use.Students of music or fine arts had the strongest intention to use condoms,while the students majoring in education had the weakest.The sexually active percentages of male students from different majors ranked as follows:music or fine arts(29.5%),minority nationality(12.2%),science&tech(10.9%),medicine(10.6%),educationmajor(10.0%),and liberal arts(8.2%).Among female students,the rank was music or fine arts(11.0%),science&tech(6.2%),education-major school(4.5%),minority nationality(4.5%),liberal arts(4.1%),and medicine(2.8%).Conclusion:It is urgent to enhance proper AIDS-related education and intervention based on the features and demands of students from different majors or universities,for example,to enhance comprehensive AIDS prevention education among students major in education and to increase behavioral skills to prevent sexually transmitted diseases among students from colleges or faculty of music or fine arts.

Relationship between Contraceptive Knowledge,Cognition and Behaviors among Vocational High School Students

Objective To study the relationship between contraceptive knowledge, cognition and behaviors among vocational high school students. Methods A cross-sectional survey was anonymously self-administrated by way of computer to all the 1st graders＇ among three vocational high schools in a district of Shanghai. Four cognition indicators, including perceived benefits, perceived barriers, perceived risks and self eJficacy were applied according to Health Belief Model. Results The percentage of respondents who reported ever sexual practices and contraceptives use at first sex was 7.01% and 56.64% respectively. Condom （58. 70%） and oral contraceptive pills （27.78%） were used by the majority. Main reasons for non-use were ＂shy to buy it＂ （26.53%） and ＂partner don＇t want to use any＂ （18.37%）. Proportion of respondents who ever had sex regarded withdrawal and rhythm as effective were 68.35% and 68.42% respectively. Proportion of respondents having sex knew ＂If a person was infected with STDs, he/she might not have noticeable symptoms＂ were 22.86%. Proportion of respondents who reported non-use of contraceptives at first sex considered that ＂infrequent intercourse could not cause a girl pregnant even she had experienced her menstruation＂ were 40.63%. Proportion of respondents who had ever used condom got full score of knowledge on ＂how to correctly use condom＂ were 23,26%. Perceived risks were poorest among four cognition indicators. High level of contraceptive knowledge was connected with high rate of contraceptives use at first sex, whereas high level contraceptive cognition was connected with high rate of contraceptive use both at first and recent sex. Conclusions It is important to provide youth-friendly services as well as message on contraceptives among vocational school students.

Eating Habits of High School Students in the District of Bamako in the Context of Nutritional Transition

Introduction: Eating habits are consolidated in early childhood and continue throughout life. Adolescence is a stage of rapid growth linked to puberty affected by the nutritional transition. This study aimed to evaluate the eating habits of high school students in the district of Bamako. Methodology: The cross-sectional, descriptive study was conducted from June 15 to July 4, 2023. The sample size was calculated with the StatCalc program of the Epi 7.2 software. Data was collected using a questionnaire on KoboCollect. Analyses were performed using SPSS 26 software. Results: A total of 2400 high school students were surveyed. The average age of high school students was 16.9 years ± 1.4. The median age was 17, with extremes of 14 and 19. Of the high school students, 53.3% were boys. The sex ratio (M/F) was 1.14. About 89.4% of high school students had a Smartphone. Among high school students, 51.1% did not engage in physical activity outside of high school. Rice was the cereal most consumed by high school students (99.2%). Consumption of fish and seafood was very low (25.5%). Soft drinks were consumed on average 4.2 days/week. In addition, 60.8% of high school students consumed energy drinks. Certain eating behaviors were found in this study, such as nibbling (38.5%), eating in front of screens (79.0%), and skipping meals (46.1%). Conclusion: The most consumed cereal by high school students was rice. The consumption of ultra-processed products and sedentary leisure are habits to be monitored in the context of the prevention of food-related non-communicable diseases among high school students in the district of Bamako.

Abnormal Behavior Detection Using Deep-Learning-Based Video Data Structuring

With the increasing number of digital devices generating a vast amount of video data,the recognition of abnormal image patterns has become more important.Accordingly,it is necessary to develop a method that achieves this task using object and behavior information within video data.Existing methods for detecting abnormal behaviors only focus on simple motions,therefore they cannot determine the overall behavior occurring throughout a video.In this study,an abnormal behavior detection method that uses deep learning(DL)-based video-data structuring is proposed.Objects and motions are first extracted from continuous images by combining existing DL-based image analysis models.The weight of the continuous data pattern is then analyzed through data structuring to classify the overall video.The performance of the proposed method was evaluated using varying parameter settings,such as the size of the action clip and interval between action clips.The model achieved an accuracy of 0.9817,indicating excellent performance.Therefore,we conclude that the proposed data structuring method is useful in detecting and classifying abnormal behaviors.

Evolutionary Algorithm Based Feature Subset Selection for Students Academic Performance Analysis

Educational Data Mining(EDM)is an emergent discipline that concen-trates on the design of self-learning and adaptive approaches.Higher education institutions have started to utilize analytical tools to improve students’grades and retention.Prediction of students’performance is a difficult process owing to the massive quantity of educational data.Therefore,Artificial Intelligence(AI)techniques can be used for educational data mining in a big data environ-ment.At the same time,in EDM,the feature selection process becomes necessary in creation of feature subsets.Since the feature selection performance affects the predictive performance of any model,it is important to elaborately investigate the outcome of students’performance model related to the feature selection techni-ques.With this motivation,this paper presents a new Metaheuristic Optimiza-tion-based Feature Subset Selection with an Optimal Deep Learning model(MOFSS-ODL)for predicting students’performance.In addition,the proposed model uses an isolation forest-based outlier detection approach to eliminate the existence of outliers.Besides,the Chaotic Monarch Butterfly Optimization Algo-rithm(CBOA)is used for the selection of highly related features with low com-plexity and high performance.Then,a sailfish optimizer with stacked sparse autoencoder(SFO-SSAE)approach is utilized for the classification of educational data.The MOFSS-ODL model is tested against a benchmark student’s perfor-mance data set from the UCI repository.A wide-ranging simulation analysis por-trayed the improved predictive performance of the MOFSS-ODL technique over recent approaches in terms of different measures.Compared to other methods,experimental results prove that the proposed(MOFSS-ODL)classification model does a great job of predicting students’academic progress,with an accuracy of 96.49%.