bluuebunny/crossref_metadata_2025_split huggingface dataset:
Edible cannabis for chronic low back pain: associations with pain, mood, and intoxication
Authors: Melendez Samantha N. , Ortiz Torres Marco , Lisano Jonathan K. , Giordano Gregory , Skrzynski Carillon , Hutchison Kent E. , Bryan Angela D. , Bidwell L. Cinnamon 
Published: September 2024

IntroductionCannabis, commonly known for both therapeutic and intoxicating effects, is gaining accessibility on legal markets and traction as a potential alternative therapy for pain mediation, particularly in those suffering from chronic low back pain. However, the effectiveness in this population of legal market forms of cannabis, particularly commonly used edibles, is unknown.MethodsTherefore, this study utilized a naturalistic prospective design where participants with chronic low back pain with intentions to initiate cannabis use for treatment were recruited and self-selected edible cannabis products containing varying amounts of delta- 9 tetrahydrocannabinol (THC) and cannabidiol (CBD). Products were categorized as CBD-dominant, THC-dominant, or combined THC and CBD (THC + CBD).Results249 participants [140 female (56.62%), mean (SD) age of 46.30 (16.02), 90% White] were tracked over 2 weeks of ad libitum use and assessed during a naturalistic acute cannabis administration session on changes in pain, mood, and subjective drug effects. During acute administration, a significant correlation between THC dose and short-term pain relief was found, suggesting that higher THC doses were associated with greater pain reduction (p &lt; .05). In addition, THC was associated with higher levels of subjective cannabis drug effects (p &lt; .001), regardless of whether CBD was also in the edible product. Acute CBD dose was primarily associated with short-term tension relief (p &lt; .05); however, there were no associations between CBD dose and acute pain. Over the 2-week ad libitum administration period results suggested pain reductions across participants using all forms of cannabis. However, trends suggested that more frequent use of CBD-dominant edible cannabis may be associated with greater reductions in perceived pain over the 2-week observation period (p = .07).DiscussionThese findings support the short-term analgesic effects of THC and anxiolytic effects of CBD and further suggest that orally-administered THC and CBD should continue to be evaluated for the potential to provide both acute and extended relief from chronic low back pain.Clinical Trial Registration:https://clinicaltrials.gov/study/NCT03522324?locStr=Boulder,%20CO&amp;country=United%20States&amp;state=Colorado&amp;city=Boulder&amp;cond=chronic%20low%20back%20pain&amp;intr=Cannabis&amp;rank=1, identifier NCT03522324.
Social support, network, and relationships among coaches in different sports: a systematic review
Authors: Ferreira João Gonçalo , Rodrigues Filipe , Sobreiro Pedro , Silva Mário , Santos Fernando Jorge , Carvalho Gonçalo , Hernández Mendo António , Rodrigues José 
Published: September 2024

IntroductionThe study aims to analyze scientific publications on the association between social networks, social relationships, and social support for sports coaches. It seeks to identify the types and levels of social support provided by various agents, and to understand the impact of this support on coaches’ wellbeing. The goal is to help coaches better utilize social support, thereby enhancing their quality of life, work, and performance.MethodsThis study systematically reviewed 11 scientific articles to investigate the association between social support, social networks, and social relationships in sports coaches. It aimed to identify the types and levels of social support offered to coaches by family members, peers, and friends. Our research utilized the PRISMA guidelines for systematic reviews and assessed study quality using the STROBE Statement. Eligibility was determined by the PECOS criterion based on the search strategy terms.ResultsOur findings indicate that social support has significant positive effects on sports coaches. It enhances selfcompassion, prevents burnout symptoms, boosts job and life satisfaction, and reduces stress levels. Organizational support, characterized by clear guidelines, guidance, and autonomy, yielded positive outcomes. Conversely, the absence of social support correlated with negative outcomes for coaches, including lower self-compassion, increased stress and burnout symptoms, reduced job and life satisfaction, and heightened work–family conflict. Coaches’ social networks encompassed family members, peers, friends, and other sources, with friends perceived as the most influential. Maintaining an effective social support network is crucial for coaches’ performance and psychological wellbeing.DiscussionThis systematic review emphasizes the importance of social support for coaches in both their personal and professional lives, noting its positive effects and the negative consequences of its absence. Given the demanding nature of coaching, improving social support systems can enhance coaches’ wellbeing and the success of sports activities.
Testing the validity of the broaden-and build theory of positive emotions: a network analytic approach
Authors: Roth Leopold Helmut Otto , Bencker Celine , Lorenz Johanna , Laireiter Anton-Rupert 
Published: September 2024

IntroductionThe Broaden-and-Build Theory of positive emotions is one of the best known and applied theories in Positive Psychology. It argues that positive emotions initiate an upward movement by opening up the mind and broadening thoughts and thus represents a counter model to the vicious circle-models of clinical psychology. The number of studies directly testing this theory in all components is scarce, ambiguities in the model impede clear inference.MethodTo draw a conclusive picture on within-model processes, we applied network modeling on the components of the theory across two studies (N1 = 312; N2 = 302).ResultsIn both studies, the positive relationship between positive emotions, resources and life outcomes is well-supported, yet the role of broadening, as an intermediary component within these is questioned.DiscussionAs the broadening component consistently deviated from the model’s predictions and thus did not contribute to the model as expected in either study, the validity of the Broaden-and-Build Theory in its current conceptualization is challenged, and our results point to the need to reassess the role of broadening.
Sources of trust in the healthcare context. A multilevel relationship with work engagement and organisational outcomes
Authors: Olvera Juana , Acosta-Antognoni Hedy , Llorens Susana , Salanova Marisa 
Published: September 2024

IntroductionThe present study analysed the mediating role of interactional justice and horizontal trust between transformational leadership and organisational outcomes (i.e., job performance and service quality) at the work team level and the cross-level relationship of team horizontal trust with job performance at the individual level, controlling for work engagement based on the HERO Model.MethodsThrough structural equations and hierarchical linear models, the proposed hypotheses were addressed. The sample corresponds to 1,638 workers grouped into 109 work teams belonging to 28 hospitals in Spain.ResultsFirst, Structural Equation Modelling analysis revealed that, as expected, at the team level, interactional justice and horizontal trust mediate positive and significantly the relationship between transformational leadership and organisational outcomes (i.e., job performance and service quality). Secondly, the results of the Linear Hierarchical Models showed a positive relationship between work engagement and individual level performance. Finally, the multilevel analysis revealed that horizontal trust at the team level is positively related to work engagement at individual level; however, there is no cross-level relationship between horizontal trust at the team level and individual performance controlled by work engagement.DiscussionHorizontal trust, at the team level, is positioned as a mediating variable between resources and organisational outcomes. Furthermore, it proves to be a key cross-level element for generating work engagement and job performance. The theoretical and practical implications of the study based on the HERO Model are discussed.
Resilience and relapse risk in Emirate adult patients with substance use disorder: a national cross-sectional study from the United Arab Emirates
Authors: Mhaidat Ibraheem , Al-Yateem Nabeel , Al-Mamari Samya , Al-Suwaidi Fatima 
Published: September 2024

IntroductionThe United Arab Emirates is among the countries affected by substance use disorders (SUDs), which have economic and social impacts. Relapse after successful rehabilitation is a major issue in the treatment of SUD. Several factors increase the risk of relapse in patients with SUD, such as craving and negative social experiences. Resilience could empower patients struggling with SUD. This study aims to explore levels of resilience and relapse risk in adult Emirati patients diagnosed with SUD, and also the possible correlation between the two variables.MethodsTwo hundred eighty-six Emirati adult patients with SUD completed a self-administered questionnaire for demographics, resilience (Connor and Davidson Resilience Scale), and relapse risk (Stimulant Relapse Risk Scale). Descriptive statistics (frequency, percentage, mean, SD, etc.) were used to describe study participants and variables. Inferential statistics were used to analyze the relationships, associations, and correlations between resilience and relapse risk, the main variables, and the participants demographics.ResultParticipants’ mean total score for resilience was 72.92 out of a maximum possible score of 100 (SD = 16.99), while their mean total score for relapse risk was 59.07 out of a maximum possible score of 105 (SD = 12.23). Furthermore, examining the correlation between the resilience subscales and the relapse risk subscales revealed similar significant, negative, low-to-moderate correlations between all the subscales (r = -0.486).DiscussionProtective and risk factors to enhance resilience and reduce relapse risk in patients with SUD were discussed.
Robust identification key predictors of short- and long-term weight status in children and adolescents by machine learning
Authors: Liu Hengyan , Leng Yang , Wu Yik-Chung , Chau Pui Hing , Chung Thomas Wai Hung , Fong Daniel Yee Tak 
Published: September 2024

BackgroundEarly identification of high-risk individuals for weight problems in children and adolescents is crucial for implementing timely preventive measures. While machine learning (ML) techniques have shown promise in addressing this complex challenge with high-dimensional data, feature selection is vital for identifying the key predictors that can facilitate effective and targeted interventions. This study aims to utilize feature selection process to identify a robust and minimal set of predictors that can aid in the early prediction of short- and long-term weight problems in children and adolescents.MethodsWe utilized demographic, physical, and psychological wellbeing predictors to model weight status (normal, underweight, overweight, and obese) for 1-, 3-, and 5-year periods. To select the most influential features, we employed four feature selection methods: (1) Chi-Square test; (2) Information Gain; (3) Random Forest; (4) eXtreme Gradient Boosting (XGBoost) with six ML approaches. The stability of the feature selection methods was assessed by Jaccard's index, Spearman's rank correlation and Pearson's correlation. Model evaluation was performed by various accuracy metrics.ResultsWith 3,862,820 million student-visits were included in this population-based study, the mean age of 11.6 (SD = 3.64) for the training set and 10.8 years (SD = 3.50) for the temporal test set. From the initial set of 38 predictors, we identified 6, 9, and 13 features for 1-, 3-, and 5-year predictions, respectively, by the best performed feature selection method of Chi-Square test in XGBoost models. These feature sets demonstrated excellent stability and achieved prediction accuracies of 0.82, 0.73, and 0.70; macro-AUCs of 0.94, 0.86, and 0.83; micro-AUCs of 0.96, 0.93, and 0.92 for different prediction windows, respectively. Weight, height, sex, total score of self-esteem, and age were consistently the most influential predictors across all prediction windows. Additionally, several psychological and social wellbeing predictors showed relatively high importance in long-term weight status prediction.ConclusionsWe demonstrate the potential of ML in identifying key predictors of weight status in children and adolescents. While traditional anthropometric measures remain important, psychological and social wellbeing factors also emerge as crucial predictors, potentially informing targeted interventions to address childhood and adolescence weight problems.
Horizontal ecological compensation and urban inclusive green growth: evidence from China
Authors: Wang Hengli , Li Weiyi , Xiao Hongce , Wang Daoli 
Published: September 2024

IntroductionHorizontal ecological compensation (HEC) has the potential to incentivize inclusive green growth in cities.MethodsUsing the multi-stage difference-in-differences (DID) method, this study examines the impact of HEC policies as a quasi-natural experiment. Panel data are analyzed; the data pertain to 87 cities in the Yangtze River Basin, from 2007 to 2020.ResultsThe findings indicate that HEC policies significantly contribute to inclusive green growth, with consistent effects across different estimators. The moderating effect test reveals that urban industrial pollution levels and green innovation are key pathways through which HEC policies influence inclusive green growth. Further analysis shows that the positive impact of HEC is more pronounced in watersheds with high marketization and in downstream regions, suggesting that HEC may exacerbate regional disparities in inclusive green growth.DiscussionThis study offers insights for China and also for other developing countries seeking to promote urban inclusive green growth and achieve sustainable development goals.
Psychometric properties of the Spanish version of the media health literacy questionnaire (MeHLit-SV)
Authors: Navas-Echazarreta Noelia , Juárez-Vela Raúl , Martínez-Sabater Antonio , Gea-Caballero Vicente , Chover-Sierra Elena , Echaniz-Serrano Emmanuel , Ruiz de Viñaspre-Hernández Regina , Jodrá-Esteban Blanca , Sánchez-Conde Pilar , Fernández-Rodrigo María Teresa , Rodríguez-Calvo Antonio , Satústegui-Dordá Pedro José 
Published: September 2024

IntroductionMedia health literacy emerges as a response to the vast array of informational disorders prevalent in media communications. Given the absence of a measurement tool for this type of literacy in Spanish-speaking communities, the aim of the present study is to conduct a cross-cultural adaptation of the Media Health Literacy (MeHLit) questionnaire into Spanish and to analyze its psychometric properties in a sample of nursing students.MethodsThe Spanish version of the MeHLit questionnaire (MeHLit-SV) was obtained through a process involving translation, back-translation, evaluation of the proposed items by a group of 22 experts, and a pilot study with 80 Spanish nursing students. Content validity was assessed using each item’s content validity index (CVI) and Aiken’s V (VdA), while internal consistency was evaluated through Cronbach’s Alpha.ResultsFollowing the translation and adaptation process, the final version of the MeHLit-SV comprised 21 items organized into five dimensions. The CVI values exceeded 0.82 for all items, and the overall content validity index (S-CVI) was 0.9. Furthermore, the results of Aiken’s V surpassed the threshold considered acceptable (0.70). After piloting, the questionnaire demonstrated high internal consistency with a Cronbach’s alpha value of 0.936.ConclusionThe findings of this research support the reliability and validity of the MeHLit-SV for use among nursing students to measure their level of media health literacy. This questionnaire, with satisfactory psychometric properties and ease of administration, is an useful tool for assessing whether individuals possess the necessary skills to accurately analyze health information they encounter on a daily basis.
From rationality to identity: the impact of using community health services for the aged on the well-being of older adults in China
Authors: Yang Liu , Wang Lijian 
Published: September 2024

ObjectivesTo better understand the outcome benefits of community health services for the aged (CHSA) and provide bottom-up identity for development, this study examined the impact of using CHSA on well-being of older adults from both objective and subjective dimensions.MethodsData from 1,411 people aged 60+ in Shaanxi, China was used in this study. The OLS estimate was used to analyze the impact of using CHSA on well-being of older adults. Then, the instrumental variable estimate was further hired to examine associations among variables to address the potential endogeneity concerns. The heterogeneity among disabled and non-disabled group was also estimated.ResultsFor objective well-being, the mental health (β = 0.44) and financial well-being (β = 0.59) of older people using CHSA were significantly higher than those not using any service. The impact on objective well-being were more significant in non-disabled group. For subjective well-being, life meaning (β = 0.54) and security (β = 0.72) were positively associated with CHSA utilization, while independence index (β = −0.33) was negatively related with CHSA utilization. The subjective well-being of disabled group using services increased more than non-disabled group.ConclusionFindings underscore the positive, albeit group-selective, role of CHSA in improving well-being of older people in China and imply the necessity of high-quality development of CHSA and the targeted differentiation strategy.
The impact of high intensity training and sports on recipients of solid organ transplants: a narrative review
Authors: Kayeye A. , Triantafyllou I. , Mathur S. , Janaudis-Ferreira T. 
Published: September 2024

ObjectivesHigh intensity exercise in individuals post solid organ transplant (SOT) remains a largely understudied phenomenon, with potential risks and benefits. Additionally, the optimal training protocols are still unclear. This narrative review aimed to explore the impact of high-intensity exercise training and strenuous sports on solid organ transplant recipients (SOTRs).MethodsWe conducted a narrative review of intervention studies of any design that included high-intensity exercise training and cross-sectional studies of strenuous sports and activities. Additionally, we reviewed individual reports documenting post-SOT performance at highly competitive or physiological levels. We used MEDLINE to search for relevant articles followed by a manual search for additional articles. Data were extracted and results were summarized.ResultsHigh-intensity and strenuous exercise appears to be safe among stable SOTRs. High-intensity protocols consistently demonstrated improvements in VO2peak and a reduction in coronary artery disease prevalence, though findings related to body composition, health-related quality of life outcomes, and cardiovascular exercise variables were inconsistent. Pre-transplant athletes showcase notable achievements and physiological adaptations post-transplantation, highlighting the capacity for athletic performance among this population. However, caution is warranted in interpreting the findings from these studies due to limitations in generalizability and other methodological limitations.ConclusionAs evidenced by current literature, high intensity exercise emerges as a promising exercise method for safely improving various physiological parameters, and reducing the prevalence of coronary heart disease in SOTRs. It can induce similar or greater effects to moderate intensity exercise, however follow-up studies indicate low retention. Further research of higher methodological rigor is warranted in this field to advance understanding, and to guide evidence-based practice.
Carbon emission measurement and regional decomposition analysis of China’s beef cattle farming industry
Authors: Wang Jun , Liang Yuan , Cao Jianmin 
Published: September 2024

IntroductionWarming caused by greenhouse gas (GHG) emissions has become a global environmental issue of widespread concern, and China, as a responsible power, has the pressing task of reducing carbon emissions. China is one of the world’s major beef producers and consumers, and at the same time, beef cattle, as a large livestock, is the largest source of GHG emissions in the livestock industry.MethodsThis study considered the panel data of 31 provinces in China from 2008 to 2022. The kernel density estimation and Dagum Gini coefficient were used to analyze the spatiotemporal dynamic evolution patterns and influencing factors of carbon emissions from China’s beef cattle farming industry.Results(1) The carbon emission trajectory of beef cattle production follows a distinctive “ascend-descend-ascend” three-phase pattern. By 2022, the sector’s cumulative carbon emissions had burgeoned by 37.62% relative to 2008, reflecting an average annual escalation of 2.31%. Despite the overall upward trend in carbon emissions, significant regional differences were observed. The Central Plains region has witnessed a consistent decline, in stark contrast to the Southwest and Northeast regions, which have emerged as hotspots for heightened carbon emissions and intensified emission densities within China’s beef cattle production landscape, underscoring the intensifying significance of carbon mitigation measures. (2) The kernel density curve shows an overall rightward shift with a specific gradient effect on carbon emissions. In addition, the range of the right drag of the curve in 2022 was significantly reduced, which laterally reflects the narrowing of the difference between the provinces with the highest and lowest carbon emissions from beef cattle farming. The principal source of variance in the overall carbon emissions from beef cattle production is the disparities between regions, which accounts for an average annual contribution rate of 52.52%. Conversely, the within-region contribution rates have remained relatively stable, while those for the intensity of transvariation have witnessed a substantial rise, with annual averages of 18.31 and 28.96%, respectively. (3) Regarding the factors influencing carbon emissions reduction, environmental regulations and production efficiency significantly drive carbon emissions reduction in beef cattle farming.DiscussionRelevant government departments should actively guide farmers toward green production, establish perfect policies and regulations for low-carbon beef cattle farming, and promote low-carbon beef cattle farming models based on local conditions.