Psychometric Properties of the Chinese Version of 20-Item Zimbardo Time Perspective Inventory (C-ZTPI-20) in Chinese Adolescent Population.

Background: This study assesses the psychometric properties of the Chinese version of the Zimbardo Time Perspective Inventory (C-ZTPI-20) in an adolescent population. Methods: The investigation encompasses a sample of 2634 middle school students from China and aims to evaluate the instrument's reliability, structural validity, measurement invariance, criterion validity, and network structure attributes. Results: First, descriptive analysis revealed satisfactory reliabilities for four out of five C-ZTPI-20 dimensions, with Present Fatalistic (PF) exhibiting relatively low reliability. Moreover, Confirmatory Factor Analysis (CFA) supported the 5-dimensional structure across all samples and sexes, albeit with a modest Tucker-Lewis Index (TLI) for girls. Furthermore, measurement invariance analysis underscores unbiased assessment across sexes. Sex differences emerge in the Present Hedonistic (PH) dimension, where boys showed higher scores. Furthermore, criteria validity analysis revealed that Past Positive (PP) and Future (F) were positively associated with extraversion, agreeableness, conscientiousness, openness, grit, and mental health, while they were negatively associated with neuroticism. Past Negative (PN) and PF showed inverse trends, while PH perspective demonstrated complex, varied correlations with these psychological traits, underscoring the multifaceted nature of time perspectives. Finally, network analysis revealed positive inter-correlations within dimensions and significant edge differences between sexes, particularly in inter-dimension connections. Despite differing rankings, the most central and marginal items remained consistent between boys and girls in network models. Conclusion: These findings contribute to understanding the C-ZTPI-20's effectiveness in assessing adolescent time perspectives and inform interventions promoting psychological well-being and coping strategies.

Multifarious Linkages Between Personality Traits and Psychological Distress During and After COVID-19 Campus Lockdown: A Psychological Network Analysis.

Background: The novel coronavirus disease pandemic is still proliferating and is not expected to end any time soon. Several lockdowns and social distancing measures might be implemented in the future. A growing body of research has explored the effect of personality on individuals' psychological wellbeing during the pandemic. However, most prior studies have not discussed the dynamic and reciprocal transactions between personality and psychological distress in various situations. Therefore, this study aims to explore the internal mechanisms of the ways in which certain personality traits triggered specific symptoms during and after college lockdown, by using network analysis. Methods: Based on survey data from 525 university students in China, the study detected the connection between individual personality and psychological distress through network analysis. Of the participants, 70.1% were female, and 20.9% were male. The mean age of the participants was 19.701 (SD = 1.319) years. We estimated networks via two steps: First, two networks that only contain the Big Five personality traits and the six symptoms of psychological distress during and after the lockdown measure were estimated. Second, we add control variables and re-estimated the networks to check whether the linkages among the Big Five personality traits and the six symptoms of psychological distress observed in the first step were stable. Moreover, we employed strength centrality as the key indicator to present the potential significance of diverse variables within a network. Results: The findings demonstrate that, first, "depress" was the central symptom in the network during the college lockdown, while "efforts" was the central symptom after the lockdown. Second, the symptoms of "restless" and "worthless" significantly declined after the lockdown. Third, we found that there is an internal mechanism through which personality affected certain psychological symptoms during and after lockdowns. Specifically, neuroticism triggered certain symptoms during and after the lockdown, while extraversion and conscientiousness suppressed certain symptoms. Substantial evidence on internal linkages is imperative to develop effective interventions. Conclusion: This study explores the internal mechanisms of the ways in which certain personality traits trigger specific symptoms. Overall, our results provide empirical evidence that personality traits play a key role in how individuals with certain traits respond to college lockdown during a pandemic. The study makes a significant contribution to the literature because it is among the first few studies which explores the effects of personality traits on individual psychological distress using network analysis during the pandemic.

Constructions and Comparisons of Pooling Matrices for Pooled Testing of COVID-19.

In comparison with individual testing, group testing is more efficient in reducing the number of tests and potentially leading to tremendous cost reduction. There are two key elements in a group testing technique: (i) the pooling matrix that directs samples to be pooled into groups, and (ii) the decoding algorithm that uses the group test results to reconstruct the status of each sample. In this paper, we propose a new family of pooling matrices from packing the pencil of lines (PPoL) in a finite projective plane. We compare their performance with various pooling matrices proposed in the literature, including 2D-pooling, P-BEST, and Tapestry, using the two-stage definite defectives (DD) decoding algorithm. By conducting extensive simulations for a range of prevalence rates up to 5%, our numerical results show that there is no pooling matrix with the lowest relative cost in the whole range of the prevalence rates. To optimize the performance, one should choose the right pooling matrix, depending on the prevalence rate. The family of PPoL matrices can dynamically adjust their construction parameters according to the prevalence rates and could be a better alternative than using a fixed pooling matrix.

Problematic Internet use among residential college students during the COVID-19 lockdown: A social network analysis approach.

BACKGROUND AND AIMS: During the COVID-19 lockdown, problematic Internet use (PIU) has become a serious issue among residential college students, who remain physically isolated from off-campus society. This study constructs an integrated model to investigate the influencing mechanisms of internal locus of control (LOC) and objective peer effects. METHODS: Residential college students (n = 494) were surveyed from a single department of a Chinese university. An item from the World Value Survey was employed to measure internal LOC, while objective peer effects were assessed via friends' mutual nominations. Finally, PIU was measured using Young's Internet Addiction Tests, while a social network analysis and logit regression were combined to estimate various factors' effects on PIU. RESULTS: In our sample, the prevalence rate of PIU was 30.6%, and while internal LOC was a protective factor for PIU, its protective role was diluted when exposed to a peer environment with high PIU prevalence. Furthermore, indegree performed contrasting roles on PIU under various network conditions. It acted as a protective factor when exposed to a low prevalence of PIU in a peer environment; however, it became a risk factor when PIU peers were prevalent. Lastly, the protective efficacy of betweenness was activated when individuals had more than one PIU friend. DISCUSSION AND CONCLUSIONS: Further intervention studies focusing on individuals with a weak internal LOC are recommended during the lockdown. Additionally, interventions that consider the network structures carefully, may enhance the prevention of PIU.

Positively Correlated Samples Save Pooled Testing Costs.

The group testing approach, which achieves significant cost reduction over the individual testing approach, has received a lot of interest lately for massive testing of COVID-19. Many studies simply assume samples mixed in a group are independent. However, this assumption may not be reasonable for a contagious disease like COVID-19. Specifically, people within a family tend to infect each other and thus are likely to be positively correlated. By exploiting positive correlation, we make the following two main contributions. One is to provide a rigorous proof that further cost reduction can be achieved by using the Dorfman two-stage method when samples within a group are positively correlated. The other is to propose a hierarchical agglomerative algorithm for pooled testing with a social graph, where an edge in the social graph connects frequent social contacts between two persons. Such an algorithm leads to notable cost reduction (roughly 20-35%) compared to random pooling when the Dorfman two-stage algorithm is applied.

A Time-Dependent SIR Model for COVID-19 With Undetectable Infected Persons.

In this paper, we conduct mathematical and numerical analyses for COVID-19. To predict the trend of COVID-19, we propose a time-dependent SIR model that tracks the transmission and recovering rate at time [Formula: see text]. Using the data provided by China authority, we show our one-day prediction errors are almost less than [Formula: see text]. The turning point and the total number of confirmed cases in China are predicted under our model. To analyze the impact of the undetectable infections on the spread of disease, we extend our model by considering two types of infected persons: detectable and undetectable infected persons. Whether there is an outbreak is characterized by the spectral radius of a [Formula: see text] matrix. If [Formula: see text], then the spectral radius of that matrix is greater than 1, and there is an outbreak. We plot the phase transition diagram of an outbreak and show that there are several countries on the verge of COVID-19 outbreaks on Mar. 2, 2020. To illustrate the effectiveness of social distancing, we analyze the independent cascade model for disease propagation in a configuration random network. We show two approaches of social distancing that can lead to a reduction of the effective reproduction number [Formula: see text].

The Spillover Mechanisms Linking Family Conflicts and Juvenile Delinquency Among Chinese Adolescents.

The mechanisms through which conflicting parental relationship and parenting practices influence adolescent antisocial behavior have not been adequately understood. To bring more understanding to the mechanisms, this study investigates how marital discord interrelates with interparental inconsistency in parenting practices, and how these family conditions influence juvenile delinquency through their spillover effects on mental health problems, parental attachment and delinquent peer association among Chinese adolescents. Findings obtained from a structural equation modeling analysis of survey data collected from a probability sample of 2,496 adolescents (mean age = 15.16 years) are generally consistent with the spillover effect hypothesis. The results demonstrate that mental health problems, parental attachment, and delinquent peer association operate as critical mediators linking marital discord and interparental inconsistency to juvenile delinquency.

The Interrelationship between Family Violence, Adolescent Violence, and Adolescent Violent Victimization: An Application and Extension of the Cultural Spillover Theory in China.

The current study is the first study to emphasize family systems, violent norms, and violent peer association as three domains of the social environment that influence both adolescent violent offending and victimization among Chinese adolescents using a longitudinal sample. Under the framework of cultural spillover theory, the purpose of the current study was to explore how these three factors influenced adolescent violent offending and victimization. A total of 1192 middle and high school students were randomly selected from one of the largest cities in Southwest China. Structural equation model analysis was applied to investigate the direct and indirect effect of violence in the family system on violent offending and victimization. The results indicated that violent offending and victimization overlapped among Chinese adolescents. Violent peer association and acceptance of the violence norm fully mediated the effect of violence in the family system on violent offending, and partially mediated the effect of violence in the family system on violent victimization. In conclusion, adolescents who had experienced violence in their family system were more likely to be exposed to violent peer influences and to accept violent norms, which increased the likelihood of violence perpetration and victimization later in their life.

Experimental and numerical estimations into the force distribution on an occlusal surface utilizing a flexible force sensor array.

This study presents a novel flexible force sensor array for measuring the distribution of the force distribution over the first molar. The developed force sensor array is composed of a flexible polyimide electrode and barium-titanate-based multilayer ceramic capacitors (MLCCs). The piezoelectric and material properties of industrial-grade MLCCs are ideal for measuring large-force loadings. The sensors are cheap and easy to integrate with automated manufacturing processes. Prior to experimental measurements, the force responses for the MLCC sensor cells were systematically measured and evaluated, confirming their high fracture strength and good sensing properties. Finite element (FE) simulations were used to calculate the force distribution over the tooth crown from the measurement results of the 3×3 force sensor array. Results indicate that the sensor has great sensitivity and linearity under a high-speed cycle loading of 500 N/s conducted to simulate normal chewing. The total force measured using the developed sensor array within the artificial tooth had an error of less than 5%. In addition, the force distributions over the molar crown obtained using a numerical method of FE analysis agree well with those obtained from experiments. The developed flexible force sensor array thus has potential for in-situ bite force measurements that are low-cost and reliable.

Pharmaceutical poisoning exposure and outcome analysis in children admitted to the pediatric emergency department.

BACKGROUND: Pharmaceuticals involved in childhood poisoning vary, and treatment of poison exposure can be a challenge for primary physicians when children are unconscious or histories are lacking. Knowledge of the clinical manifestations and prognosis of poisoning will help primary physicians perform appropriate clinical assessments. In this study, we aim to report on patient characteristics, outcomes, and clinical features of pediatric poisoning in the emergency department. METHODS: We retrospectively evaluated the medical records of 87 children younger than 18 years of age and presented to the emergency department with pharmaceutical poisoning (2001-2008). The detailed categories of pharmaceutical were reported, and their associations with patient outcomes were analyzed. Furthermore, children were divided into two groups, based on the reasons for poison exposure (accidental or intentional poisoning). Clinical features and outcomes between accidental or intentional poisoning were analyzed, and the cut-off age for high risk of intentional poisoning was also calculated. RESULTS: Age groups of adolescents (48.3%) and preschool age (32.2%) children were the major representation. Neurologic system agents (48.3%) and analgesics (18.4%) were the most common causes of poisoning. Among the two major agents above, anxiolytic/hypnotic drugs (lorazepam) and acetaminophen were the most frequent causes. Of all children, 70.1% had duration of major symptoms for ≤1 day, and intentional poisoning caused significantly longer duration of hospital stay than accidental poisoning did (p=0.008). Moreover, female gender (p<0.001), older age (p<0.001), and analgesics (p=0.008) were more predominantly associated with intentional poisoning in children, and the cut-off age for high risk of intentional poisoning was over 10.5 years. CONCLUSION: Neurologic system agents and analgesics were responsible for the majority of cases. Intentional poisoning caused longer hospital length of stay than accidental poisoning, and the factors associated with intentional poisoning were older age, female, and neurologic system agents.

Predictive factors of the duration of a first-attack acute urticaria in children.

PURPOSES: This study's aim was to determine the predictive factors of the duration of first-attack acute urticaria in children. BASIC PROCEDURES: The sample included 1075 children admitted to the emergency department with first-attack acute urticaria. Variables comprising the clinical features and past histories of children with duration of disease of 3 days or less, 4 to 7 days, 8 to 14 days, and 15 days or more were compared to determine the predictors of duration of acute urticaria. MAIN FINDINGS: Age, various etiologies, clinical presentations, coexistent pyrexia or angioedema, and personal histories of allergic diseases were significant factors (all P < .05). Among allergic diseases, atopic dermatitis was the most significant predictor of duration of acute urticaria, and those with multiple allergic diseases had longer durations of urticaria (both P < .05). Oral plus injection forms of antihistamine or steroid were related to shorter duration of disease (P < .05). PRINCIPAL CONCLUSIONS: Etiologies and personal allergy history may be the most important predictors of the duration of a first attack of acute urticaria.

Significant factors associated with severity and outcome of an initial episode of acute urticaria in children.

The aim of this study was to determine the predictive factors of severity and duration of an initial episode of acute urticaria in children. This was a retrospective study of 1120 children of <18 yr who presented to the emergency department (ED) with an initial episode of acute urticaria during the period January 1, 2001, to December 31, 2007. These patients were followed in the ED or outpatient department (OPD) until their symptoms subsided. Variables comprising mild, moderate, and severe urticaria were compared to determine the predictors of severity. The relationships between duration of urticaria and clinical features, including physician-diagnosed causes and treatment modalities, were also analyzed. Significant predictive factors of severity of an initial episode of acute urticaria in children included age, physician-diagnosed causes of urticaria, clinical presentation, coexistent pyrexia or angioedema, and personal allergic history (all p < 0.001). The duration of urticaria was dependent on the physician-diagnosed causes and treatment. Inhalants and unknown causes were predictive of longer duration, while contact materials were associated with shorter duration of urticaria (p < 0.001). Combination treatment comprising an oral plus injectable form of antihistamine or corticosteroid significantly shortened the duration of urticaria compared to single treatment (p < 0.001), especially in children receiving short-term aggressive treatment in the pediatric observation unit (POU) of the ED.

First attack of acute urticaria in pediatric emergency department.

BACKGROUND: Management of a first attack of acute urticaria in children is dependent on the etiology of the disease. Knowledge of the various etiologies of urticaria will help primary physicians to perform appropriate clinical assessments. In this study, we analyzed the etiologies and their prevalence in first-attack acute urticaria in infants, children and adolescents in central Taiwan. METHODS: This was a retrospective study of 953 children who were admitted to the emergency department (ED) with a first attack of acute urticaria from January 2000 to December 2006. All patients were followed in the ED or outpatient department until their symptoms subsided. Patient demographics and detailed etiologies of the first attack of acute urticaria were analyzed. Furthermore, the prevalence of various etiologies in different age groups, as well as the etiologic trends of acute urticaria in children during the previous 7 years, was determined. RESULTS: The most common etiologies of a first attack of acute urticaria in children were various infections (48.4%), foods (23.5%), idiopathic causes (13.2%), and medications (11.5%). Among the three major etiologies above, upper respiratory tract infections (nasopharyngitis), seafood (shrimp) and nonsteroidal anti-inflammatory drugs (ibuprofen) were the most frequent causes. Moreover, the etiologies differed significantly with patient age (p < 0.001). Overall, infections were the major cause in infants (56.5%), whereas food (36.6%) and medications (26.8%) were the most common etiologies in adolescents. The prevalence of various infections dropped as the age of the children increased (56.5% in infants, 51.2% in preschool-aged children, 42.1% in school-aged children and 17.1% in adolescents). The etiologies of foods and medications were more prevalent in adolescents than in younger children. CONCLUSION: Detailed etiologies of first-attack urticaria in children in central Taiwan were analyzed. Most importantly, we found that there was a decrease in the prevalence of various infections as causative factors as the age of the children increased. The etiologies of foods and medications were more prevalent in adolescents than in younger children.