Trends In Behavior Research Articles

Comparison of temporal trends in suicidal behaviors among high school students in Mississippi and the United States

BackgroundMississippi youth are demographically unique compared to that of the nation. The purpose of this study is to determine the prevalence and trend of suicide ideation, suicide plans, suicidal attempts, and suicidal injury among high school students in Mississippi vs. in the United States (U.S.).MethodSummary statistics, prevalence ratio (PR), and trend analysis were generated and compared between Mississippi high school students and their U.S. counterparts.ResultsThe 2021 prevalences for suicide plans, suicide attempts, and suicide injury are all significantly higher for Mississippi high school students compared to their national counterparts. From 2001 to 2021, on the national level, none of the four suicide behaviors showed significant change, whereas, in Mississippi, suicide plans, suicide attempts, and suicide injury all had an increasing trend.ConclusionsOur study reveals alarming increasing trends and significantly greater severity of suicidal burdens among Mississippi high school students compared to the nation. Left unattended, these trends may continue quicker due to a clustering effect. There is an urgent need for Mississippi to implement more and better intervention and prevention measures to stop and reverse the increasing trend of suicidal behaviors among its 9–12 graders.

The intricate dynamics of personality, emotional intelligence, and family in adolescent tendencies towards delinquent-prone behavior

ABSTRACT Delinquent-prone behavior among Indian youth poses a multifaceted challenge shaped by psychosocial factors and evolving behavioral trends. This study aimed to identify key contributors to delinquent-prone behavior among adolescents in conflict with law, examining variables like age, personality traits, emotional intelligence, and family environment. Using purposive sampling, a cross-sectional survey was conducted with 106 male adolescents aged 14 to 18 from observation and special homes in Tamil Nadu, India. Findings reveal that age and family structure significantly influence delinquent prone behavior among adolescents. Younger juveniles, aged 14 to 16, are particularly prone to such behavior due to the complexities of adolescence. The nuclear family structure notably impacts deviance. A positive correlation exists between emotional intelligence and a supportive family environment, indicating that juveniles from nurturing backgrounds exhibit better emotional well-being. Additionally, a positive correlation between delinquent prone behavior and personality traits underscores their significant role in delinquency. Understanding these relationships is vital for mitigating such behaviors. The study underscores the importance of personality traits and emotional intelligence as predictive indicators of delinquent prone behavior among juveniles, offering valuable insights for policymakers, educators, and mental health professionals addressing deviance.

Reducing uncertainty in the work-nonwork interface during COVID-19: an examination of trends in information seeking behaviors

ABSTRACT The current study examined trends in information seeking on the work-nonwork interface in relation to two events: the onset of the COVID-19 pandemic and the passing of emergency paid leave in the Families First Coronavirus Response Act (FFCRA). We hypothesized that individuals would be motivated to reduce pandemic-driven uncertainty, such that information seeking peaks at these two events. We used discontinuous growth curve models to test these hypotheses with 51 weeks of web search data from December 2019 to December 2020, representing billions of web searches. Results showed that information seeking behavior on work-nonwork balance, flexible work arrangements, family and medical leave, and childcare peaked around at least one of the two events. This study demonstrates how organizations and researchers can use web searches to study information seeking behavior.

The impact of user addiction on continuance intention to use streaming platforms: incorporating expectation confirmation model and personality traits

The widespread use of the Internet has transformed communication, including listening to music and watching movies. With the development of new technologies, consumers now have more options for viewing new media across many platforms and devices. Consumers now have more options for watching new material across many platforms and devices via OTT (Over-the-Top) streaming platforms. Future trends in consumer behavior will significantly increase competition for the digital media business, particularly in the digital video and music sectors. This article aims to understand better Thai streaming service users, where the country’s digital infrastructure has been developing. By examining their heavy viewing addiction, intention to continue using the expectation confirmation model, personality traits, and implementation of the 7Ps in marketing. An online questionnaire-based survey of Thai respondents was used to evaluate the proposed models empirically. The study used path analysis and a Structural Equation Model (SEM) to investigate how continuance intention toward streaming services is affected by other endogenous variables in Thailand. The empirical results found that the user’s satisfaction and addiction of users to heavy viewing were found to be key factors influencing the intention to continue using streaming services in the Thai environment. Likewise, the study confirms the importance of the Big Five personality traits theory in impacting the behavior of streaming service consumers. Introverted persons may perceive streaming services as more useful and enjoyable. The findings deepened our understanding of Thai streaming consumer behavior and offered more insight into market trends for streaming services.

Inclusive Marketing Communication with Specific Reference to LGBTQ: A Review of Literature and Directions for Future Research

The purpose of this study is to explore the existing literature on how inclusive marketing communication targets LGBTQ individuals (lesbian, gay, bisexual, transgender and queer). This study has used SLR and bibliometric analysis to gain in-depth understanding of the topic. Data were extracted from Scopus database as it is one of the most widely used databases across the world and a total of 174 papers qualified the criteria. The findings of this study stated important insights on information like country collaborations, growth of topic undertaken across years, trending topics and so on. Clusters were also identified which helped in identifying trending topics and area of studies which yet needs to be focused. Moving forward, this study compiled all the information to identify future research gaps and implications for academicians as well as practitioners. It is among the few studies which have explored the importance of inclusive marketing specially focusing on LGBTQ individuals. This study has suggested agendas for future advertising research. Also, with evolving role of inclusive marketing, organizations need to re-think and re-position themselves in the market to survive; hence, this study also provides future research agendas for practitioners to understand global trends of consumer behaviour.

Navigating Responsible Consumption: Unveiling Consumer Perceptions and the Role of Bio-Based Products in Sustainable Decision-Making

The modern consumer society is criticised for its harmful impact on individual well-being and the environment, prompting a call for a transition to responsible consumption. This article explores emerging trends in consumer behaviour towards responsible consumption. Drawing from existing literature and empirical findings, it examines the multifaceted dimensions of responsible consumption, encompassing environmental, ethical, and social considerations. Conscious consumers prioritise basic needs over excessive consumption, opting for high-quality, reliable, and environmentally friendly products, especially those derived from biomaterials called bio-based products. Furthermore, responsible consumers recognise the social and environmental consequences of their consumption behaviour, advocating for sustainable practices and supporting initiatives for societal improvement. The article discusses conscious consumption aiming to mitigate consumerism’s environmental impact, focusing on bio-based products. Insights from focus group discussions conducted in Poland, Finland, the Netherlands, and Spain, as part of the 3-CO project, shed light on consumer perceptions and concerns regarding bio-based products, providing valuable input for decision-makers, businesses, and environmental organisations seeking to promote responsible consumer behaviour and support the transition towards more sustainable consumption patterns.

Influence of excitation wavelength on LIBS (1064 nm vs 266 nm) for multi-element mortar analysis

The influence of laser parameters, such as the excitation wavelength, on the emission signal obtained by laser-induced breakdown spectroscopy (LIBS), has been studied since the beginning of the technique’s applications, until today. Choosing the best wavelength for a given sample, or a unique emission line, is always a challenge for researchers. This work evaluates the influence of excitation wavelength for the analyse of a full-width LIBS spectrum range. Particularly, eight different mortar samples were used in this study. Firstly, the average spectra obtained with the two excitations (266 and 1064 nm) were evaluated by superimposing the two acquired spectra, and, a trend of different behavior was observed, depending on the emission spectral region. Excitation using the 1064 nm laser was favorable for the spectral range of 180–310 nm, on the other hand, the 266 nm was for the range of 312 nm − 1000 nm. The intensities of the C I, Si I, Zr III, Sb I, Fe II, Mg I, Mg II, Ca I, Ca II, Li I, K I, and, Na I emission lines were evaluated individually, and the results followed the same behavior. The size of the crater was assessed for both lasers and showed more effectiveness for 266 nm than 1064 nm. It is observed that the temperature or ablated size was not exclusively determined for the emission signal. A competition of physical phenomena must be contributing to this. For 1064 nm excitation, the inverse Bremsstrahlung (IB) phenomenon and higher temperature caused by the greater absorption of laser light at this wavelength favored emission in the UV region of the spectrum. On the other hand, the spectra obtained by 266 nm excitation, where Photoionization (PI) effect prevail the temperature achieved in this case is more favorable for filling the levels involved in transitions in the visible and IR range.

Personalized learning model based on machine learning algorithms

<p>Machine learning algorithms have been widely applied in the field of personalized learning within educational information technology. By leveraging big data analysis and data mining techniques, machine learning can help identify patterns and trends in students' learning behaviors, preferences, and performance. This information can then be used to tailor educational resources and experiences to meet the individual needs and unique characteristics of each learner. Machine learning has made great progress and achievements in the teaching process of universities, but there are also some shortcomings. Such as data dependence, over-fitting and under-fitting, explanatory problems, need a lot of computing resources, data bias, sensitive to outliers, cannot solve all problems, and the challenge of data privacy, through the analysis of machine learning algorithm model, efforts to find ways to expand the dimension of personalized learning classroom, meet the students in learning objectives, learning content, learning methods of the special characteristics and unique needs, to guide students to actively explore and research, obtain innovation and appropriate learning results.</p>

Self-regulation and resilience: the role on active procrastination of young adults

Our current dynamic digital era has generated active procrastination which is a popular trend of behaviour among young adults. Deciphering this reckless habit reveals a fascinating truth in which active procrastination thrives on strategic planning for task completion. This study examined i) self-regulation and resilience as the significant predictors of active procrastination among young adults, ii) the significant difference in active procrastination among university students and working young adults, iii) significant gender differences among university students, and iv) among working young adults. A total of 192 respondents completed the questionnaires, Self-Regulation Scale, Connor-Davidson Resilience Scale, and Active Procrastination Scale. Through quantile regression, results show that self-regulation is a significant predictor of active procrastination among young adults. Independent t-tests shows there is no significant differences in active procrastination among university students and working young adults. However, there are significant gender differences in active procrastination among university students, but not among working young adults. These findings indicate that self-regulation plays a significant role in cultivating active procrastinating among young adults. Furthermore, interesting findings are discovered for gender differences as males have relatively higher active procrastination scores. Hence, the findings emphasize the need for workshops to transform young adults to become active procrastinators through enhancing self-regulation.

Modeling of the intelligent interface of interaction between a pharmacy and a children's clinic

Introduction. Economic barriers, uneven territorial distribution of pharmacy organizations, and insufficient efficiency of drugs supply chains hinder the accessibility of drugs and the timely receipt of pharmaceutical care (PC) by patients worldwide. The digital transformation in healthcare, accelerated by the COVID-19 crisis, necessitates the adaptation of PC practices to meet modern patient needs. Objective of the study. To develop and validate a procedure for the interaction between a clinic and a pharmacy to facilitate data exchange through an interface, enabling the pharmacy to receive data for forming an assortment of drugs adapted to the characteristics and behavioral trends of the main target audience. Material and methods. The study utilized anonymized data on drugs prescriptions by physicians from the medical information system of a network of medical organizations in Moscow for the period from January 2018 to December 2023. Data preprocessing was conducted, followed by the training of a machine learning model using the LightGBM algorithm. The predictive performance of the model was assessed using MAE and RMSE metrics. Results. An analytical interface for the interaction between the clinic and the pharmacy was developed, incorporating a predictive model for forming the drugs assortment. The model effectively accounts for seasonal trends, patient demographic characteristics, and other key factors influencing drugs demand. The average MAE and RMSE values were 1.27 and 1.68, respectively, indicating high model accuracy. Conclusion. Implementing the developed interface allows the pharmacy to form drugs assortment tailored to the real needs of patients, contributing to optimized inventory management, reduced risk of shortages and overstocking, enhanced accessibility of PC for children, and increased economic efficiency of the pharmacy. The integration of big data technologies and machine learning opens new prospects for the personalization of medical and pharmaceutical care.

Trends in food and nutrition behaviours, knowledge and attitudes among youth in six countries: findings from the 2019-2021 International Food Policy Study Youth Surveys.

This commentary highlights the release of findings now available in the report International Food Policy Study Youth Surveys: Summary of Findings 2019-2021. The survey data described in this commentary consist of repeated cross-sectional surveys conducted annually beginning in 2019. Online surveys were conducted in 2019 to 2021 among respondents living in Australia, Canada, Chile, Mexico, the United Kingdom and the USA. Survey respondents were youth aged 10-17 years in 2019 (n 12 031), 2020 (n 11 108) and 2021 (n 10 459). The report described in this commentary summarises findings on food and nutrition behaviours, attitudes and knowledge among youth, including their diet sources and patterns, school nutrition environments, food security, diet intentions, weight perceptions and weight loss behaviours, sugary drink perceptions, awareness of public education and mass media campaigns, perceptions of food labels and exposure to food and beverage marketing. Results from the IFPS Youth surveys provide important insights into key policies of global interest, including front-of-package nutrition labelling, levies on sugary beverages and restrictions on marketing unhealthy food and beverages to children. As policymakers continue to seek effective strategies to improve adolescent health outcomes, ongoing cross-country monitoring of food and nutrition-related indicators, such as the data from the International Food Policy Study, will be critical in assessing dietary trends and evaluating upcoming policies.

Dosimetry as a Lagging Indicator of Occupational Exposure to Nitrous Oxide in Pediatric Sedation: A Collaborative Process Improvement Project With Industrial Hygiene.

Nitrous oxide (N2O) is commonly used in pediatric procedural sedation. It is an attractive option to facilitate intravenous line placement, as it does not extend sedation recovery from subsequently administered agents. Although debate exists regarding health consequences of occupational exposure now that scavenging of exhaled gases is common, cooperation of pediatric patients to maximize engineering controls is not guaranteed and can contribute to repeated exposure over the course of a clinician's career. There is no global consensus on personal exposure limits, but the National Institute for Occupational Safety and Health published U.S. guidelines. A dosimetry survey of our sedation team during a short N2O procedure for intravenous line placement exceeded the National Institute for Occupational Safety and Health Recommended Exposure Limit (REL) of 25 parts per million. We designed a process improvement initiative to reduce occupational exposure below the Recommended Exposure Limit on serial surveys. A continuous flow, titratable, full-face mask N2O delivery system with scavenging by a central vacuum connection was used. A retrospective chart review of N2O procedures performed before the initial dosimetry survey revealed practice trends in provider behavior during N2O administration. Initiation of N2O gas flow and maintenance of face mask seal on an uncooperative patient were identified as two sources of variability. Two-handed face-masking technique, initiation of N2O gas flow only after masking, and continued masking for 2 min of exhaled scavenging were standardized and socialized as best practices. Subsequent dosimetry surveys of the sedation team were coordinated by Industrial Hygiene. Pre- and post-intervention phases were 17 months each and included 92 and 201 N2O patients, respectively. Six dosimetry surveys occurred in the post phase. Intravenous line placement was the typical procedure surveyed. Dosimetry results for all team members during surveys 1-4 were below the REL, with 14 of 16 samples falling below the level of quantitation. Elevated dosimetry results in survey 5 prompted reevaluation of work practices and equipment. A loose component on the delivery system was discovered, corrected, and incorporated as a pre-procedure check. With no further changes to work practices, dosimetry results were below the REL for survey 6. We layered work practice changes atop engineering controls to reduce occupational exposure levels for medical team members. We utilized dosimetry as a lagging indicator, prompting frequent reassessments of our equipment and processes that we might not otherwise have performed. Pediatric sedation programs are encouraged to consider whether Industrial Hygiene resources might provide synergy to process improvement efforts with inhalational sedation agents.

Penetrability: A new parameter for wear estimation of multilayer coatings

Many efforts are being made to predict the wear of thin films/coatings through indentation. The 10%-depth-hardness defined by the ISO 14577–4 standard to avoid the substrate effect is commonly used for wear estimation of single-layer coatings. The coating structure varies from layer to layer (top to bottom) in multilayer coatings, and no clear guidelines for hardness measurement are available for them at the time of writing. Moreover, hardness is a system parameter that may change with depth, indenter tip shape and size, micro to nanofilm thickness, and the substrate effect. Therefore, this method may not be adequate for multilayers, multi-scale nanostructured materials, and composites. To address the issue, we hypothesize that for the same material (in our case, various C/C multilayer coatings), there should exist a correlation between the mechanical work done due to wear and the mechanical work done due to indentation. A thorough experimental investigation was conducted using a range of multilayer diamond-like carbon coatings at different loading conditions to verify our hypothesis. The penetrability (newly proposed parameter) correlates with the wear process. The test drive of the method successfully predicted multilayer coatings in terms of wear behavior trends and identified coating designs with comparatively low and high specific wear rates. It is anticipated that with further investigations employing penetrability to thin film wear research, the approach could be used to understand the wear of thin films in a more universal manner.

Multivariate simulation using a locally varying coregionalization model

Understanding the response of materials in downstream processes of mining operations relies heavily on proper multivariate spatial modeling of relevant properties of such materials. Ore recovery and the behavior of tailings and waste are examples where capturing the mineralogical composition is a key component: in the first case, to ensure reliable revenues, and in the second one, to avoid environmental risks involved in their disposal. However, multivariate spatial modeling can be difficult when variables exhibit intricate relationships, such as non-linear correlation, heteroscedastic behavior, or spatial trends. This work demonstrates that the complex multivariate behavior among variables can be reproduced by disaggregating the global non-linear behavior through the spatial domain and looking instead at the local correlations between Gaussianized variables. Local linear dependencies are first inferred from a local neighborhood and then interpolated through the domain using Riemannian geometry tools that allow us to handle correlation matrices and their spatial interpolation. By employing a non-stationary modification of the linear model of coregionalization, it is possible to independently simulate variables and then combine them as a linear mixture that locally varies according to the inferred correlation, reproducing the global multivariate behavior seen on input variables. A real case study is presented, showing the reproduction of the reference multivariate distributions, as well as direct and cross semi-variograms.

Changing Trends of Excess Self-protective Behavior, and Association with Belief in Prevention Myths During the COVID-19 Epidemic in China: A Panel Study.

This prospective observational study examined changing trends of excess self-protective behavior (EPB), and their association with perceived risk, perceived severity, and irrational beliefs about prevention during the Chinese COVID-19 epidemic. Participants were recruited for an online panel survey. There are 150 participants for the baseline and 102 for the final survey. There were 5 waves of interviews. Perceptions of risk and disease severity were measured by single items. Irrational beliefs about prevention and EPB comprised 5 common prevention misconceptions. Descriptive statistics and the CATMOD program were used for data analysis. The prevalence of participants perceiving personal risk of contracting COVID-19 and severe consequences of the disease was 18.6% and 25.5%, respectively, at baseline, and declining to 4.9% and 17.6% at final observation. The 5 selected EPB also showed a diminishing trend. Belief in COVID-19 prevention myths trended upwards. Perceived risk was positively associated with each EPB, and perceived severity with disinfection of clothes and hoarding of products. Myth adherence was positively associated with disinfection of clothes and both hand washing and sanitization. This study yields new information about EPB among the Chinese public. Policy modifications and public education interventions are essential for minimizing the adverse health effects of subscribing to irrational beliefs.

Trends and trajectories in employee green behavior research.

With environmental protection awareness increasing, green innovation has become a key way for enterprises to achieve sustainable development. Research trends on employee green behavior are an important basis for formulating green behavior incentive measures and a key foundation for further exploring green innovation. However, due to the large amount of literature on employee green behavior, obtaining research trends directly related to employee green behavior takes time and effort. To solve this problem, this paper takes the relevant published literature on research on employee green behavior from 2009 to 2024 as the research object. It uses CiteSpace software to study the research trends of employee green behavior from the number change analysis of published literature, distribution region analysis of published literature, influence analysis of main authors of published literature, keyword analysis, and high-frequency word analysis. The research results show that the publication of literature on employee green behavior has been steadily increasing since 2018, and the relevant research mainly focuses on the impact of green behavior motivations, green behavior emotional factors, green behavior performance results, green self-energy efficiency, and other aspects on employee green behavior. Based on the research results, further summaries and suggestions are given to provide references for the subsequent related research in this paper.

Exploring tourists’ pro-environmental behavior: a bibliometric analysis over two decades (1999–2023)

PurposeThe main objective of this article is to visualize the structure and trends of pro-environmental behavior (PEB) between 1999 and 2023 through mapping and in-depth analysis. The aim is to analyze PEB, which has received considerable academic attention in recent years due to its key role in the conservation of the environment and the protection of local communities in tourist destinations. This paper provides an important summary of the recent research that has explored the role that tourists have in protecting the environment through PEB.Design/methodology/approachThis study presents a visual analysis of 2005 scholarly articles between the years 1999 and 2023 related to PEB. Using the knowledge mapping based on VOSviewer it presents the current status of research, which includes the analysis of citation analysis, co-citation analysis, co-citation network and longitudinal analysis.FindingsPEB is an emerging topic due to its relevance to protecting the environment in the context of travel. The citation and co-citation analysis show the relevance of the behavior of tourists with regard to protecting the environment. The co-word analysis highlights the current significance of research concerning green hotels and the destination image of environmentally responsible destinations.Originality/valueThis study sheds light on the current research progress of PEB in the context of tourism through a comprehensive analysis (citation, co-citation and co-word). In addition, we provide theories and factors that have been previously used to study PEB in the context of tourism. The findings contribute to a broad and diverse understanding of the concept of PEB, which can provide important insights for policymakers in formulating management strategies and policies aimed at reducing environmental impacts in destinations.

Intensifying Substance Use Trends among Youth: A Narrative Review of Recent Trends and Implications.

Substance use among adolescents and young adults remains a critical public health concern, with patterns shifting dramatically in recent years. This narrative review examines trends in substance use behaviors during and following the COVID-19 pandemic. Epidemiologic evidence shows declines in the proportion of youth who are using most substances but intensified consumption patterns with rising levels of disorder among adolescents who use substances. This picture may reflect the greater potency, availability and accessibility of substances, vulnerabilities related to poor mental health, minoritization, as well as social factors including pandemic stressors, commercial and regulatory forces - in short, features of the agent (substance), host (person), and environment (context), consistent with a public health formulation. Understanding trends in youth substance use and related problems, especially in the context of contributing factors, is critical for informing clinical care strategies and public health interventions to improve outcomes for youth across diverse populations.

Future Trends in Angler Behavior Based on a Delphi Study in the Nordic Countries

ABSTRACTRecreational fisheries are dynamic social‐ecological systems. Identification of anticipated future trends supports the design of policies and management to deliver outcomes for fisheries resources, users, and communities. To this end, we applied a forecasting method (i.e., Delphi survey) to recreational fisheries in five Nordic countries. The survey consisted of three rounds and included 20 diverse experts from each country. The study focused on expert perceptions of future trends in angler behaviors linked to specific angling activities (e.g., gear used, species targeted), and more general behavior (e.g., social media use, stewardship). Experts unanimously expected increases in fly fishing, stewardship, and use of angling‐related technologies and social media platforms in the upcoming decade. Results can guide future research, management, and collaboration related to recreational fishing in the Nordic countries and beyond.

Chef Lenny Widjaja’s Introducing Baking Learning Content with Instagram Social Media

A chef's shift to social media often comes in response to changing consumer behavior trends. One individual who has been successful in utilizing social media to introduce cooking learning content is Chef Lenny Widjaja. Therefore, the aim of this research is to analyze what creative strategies are applied in introducing baking learning content via social media Instagram (@cheflennywidjajaofficial). This research is based on the concept of creative strategy, namely creative brief. The subject of this research is Chef Lenny Widjaja's baking learning content with the research design used a qualitative descriptive approach. Data collection techniques use semi-structured interviews and documentation. The research results obtained are all information related to the creative brief that was prepared to create baking learning content. The creative brief also explains all the elements included in the creative brief such as the purpose of creating baking learning content, the target audience for the baking learning content, the message and tone included in the caption of the content that has been uploaded, research results on the latest food trends, setting boundaries such as time constraints, measuring success or metrics. Based on this research, it can be concluded that Chef Lenny Widjaja's creative strategy in introducing baking learning content through the social media Instagram is in accordance with the concept of creative strategy, namely the use of all creative brief elements in all content creation so that the content presented remains interesting, the number of viewers is stable and many course participants. creation so that the content presented remains interesting, the number of viewers is stable and many course participants.