Creating A child-friendly social environment for fewer conduct problems and more prosocial behaviors among children: A LASSO regression approach.

BACKGROUND: Creating a child-friendly social environment is an important component of promoting child-friendly city development. This study aims to explore the key indicators of friendly family, school and community social environments from the perspective of children's conduct problems and prosocial behaviors. METHOD: The sample included grade 3-5 students from one public elementary school in the urban areas and another public elementary school in the rural areas of a Chinese city pursuing a child-friendly philosophy. A total of 418 participants were included in this study. Data on conduct problems, prosocial behaviors and the social environment were collected. To effectively select important variables and eliminate estimation bias, this study used LASSO regression to identify key indicators predicting children's conduct problems and prosocial behavior, followed by linear regression coefficient estimation and significance testing. RESULTS: Creating a friendly family environment (ensuring family members' assistance with academic problems) and school environment (reducing cheating, fighting, and unfriendly teacher language) was associated with reduced conduct problems in children. Creating a positive family atmosphere (enhancing children's trust in family members), school environment (increasing parents' awareness of school affairs, reinforcing students' prosocial behavior, increasing extracurricular activity programs, and encouraging student engagement in academics) and community environment (respecting all children in the community) was associated with improving children's prosocial behavior. CONCLUSIONS: This study transforms the multidimensional, complex child-friendly social environment evaluation indicator system into concise and specific measurement indicators, which can provide theoretical and practical implications for government decision-making in child-friendly city development through empirical research.

Automatic Wake and Deep-Sleep Stage Classification Based on Wigner-Ville Distribution Using a Single Electroencephalogram Signal.

This research paper outlines a method for automatically classifying wakefulness and deep sleep stage (N3) based on the American Academy of Sleep Medicine (AASM) standards. The study employed a single-channel EEG signal, leveraging the Wigner-Ville Distribution (WVD) for time-frequency analysis to determine EEG energy per second in specific frequency bands (δ, θ, α, and entire band). Particle Swarm Optimization (PSO) was used to optimize thresholds for distinguishing between wakefulness and stage N3. This process aims to mimic a sleep technician's visual scoring but in an automated fashion, with features and thresholds extracted to classify epochs into correct sleep stages. The study's methodology was validated using overnight PSG recordings from 20 subjects, which were evaluated by a technician. The PSG setup followed the 10-20 standard system with varying sampling rates from different hospitals. Two baselines, T1 for the wake stage and T2 for the N3 stage, were calculated using PSO to ascertain the best thresholds, which were then used to classify EEG epochs. The results showed high sensitivity, accuracy, and kappa coefficient, indicating the effectiveness of the classification algorithm. They suggest that the proposed method can reliably determine sleep stages, being aligned closely with the AASM standards and offering an intuitive approach. The paper highlights the strengths of the proposed method over traditional classifiers and expresses the intentions to extend the algorithm to classify all sleep stages in the future.

Enhancing academic self-efficacy on decreasing adolescents' unmonitored internet usage and depressive mood.

Unmonitored internet use and depression are difficulties that adolescents experience. Efforts to promote healthy adolescent development tend to focus on reducing these two risk outcomes. Therefore, the purpose of this study was to examine how three important school-related factors (teachers, peers, and academics) affect adolescents' levels of unmonitored internet use and depression. For this study, a cross-sectional data analysis was conducted. The sample included 9297 students who participated in two waves of the China Education Panel Survey (CEPS). Structural equation modeling (SEM) was performed using LISREL 8.80 to analyze the data. Monte Carlo resampling was then performed using R to confirm the significance of the mediating effects. Teacher criticism and negative peers can increase unmonitored internet use and depression in adolescents, while academic stress can exacerbate depression. In contrast, teacher praise and positive peers can reduce those risk outcomes. Academic self-efficacy serves as a key mediator of the impacts of teachers, peers, and academics on adolescents' levels of unmonitored internet use and depression. We advocate that schools should establish a positive school climate, provide teacher feedback training and design physical activity programs to improve academic self-efficacy, thereby reducing the risk of unmonitored internet use and depression among adolescents, effectively preventing possible subsequent internet addiction and promoting the mental health of adolescents.

Association of Friendly School and Family Contexts and Reducing Health Risk Behaviors Among Adolescents: A Cross-National Study in Europe, North America, and China.

BACKGROUND: Social factors play an important role in adolescents' behaviors. This study aims to understand percentages of health risk behaviors across country in Europe, North America, and China; explore the associations between friendly school and family contexts and involvement for several health risk behaviors among adolescents. METHODS: Data derived from health behavior in school-aged children cross-sectional surveys and China Education Panel Survey in 2014-2015. Hierarchical generalized linear modeling was used to analyze data. RESULTS: The highest percentages of health risk behaviors including unhealthy diet, smoking or alcohol, screen-based sedentary behaviors, and violent behaviors across country ranged from 28.62% to 65.24%. National classmate friendliness was negatively associated with 5 out of 9 health risk behaviors prevalence rates in 41 countries (p < 0.05). Adolescents' perceived peer friendly and helpful were common protective factor for engaging in several health risk behaviors (p < 0.01). Individual family contexts were associated with 3 types of health risk behaviors involvement (p < 0.001). SCHOOL HEALTH POLICY IMPLICATIONS: Health risk behaviors among adolescents reducing was associated with the implementation of friendly school and family contexts, emphasizing the significance of the goals of embedding friendly adolescents, along with the home-school collaboration. CONCLUSIONS: Public health strategies should promote national climate of friendship and individual perceived friendly school contexts to reduce health risk behaviors.

Mediating Effects of Academic Self-Efficacy and Depressive Symptoms on Prosocial/Antisocial Behavior Among Youths.

Adolescence is a critical period during which youth develop and shape their behaviors. Because differences between youths are strongly connected to environmental factors, we aimed to elucidate possible pathways from home-school regulation and atmosphere to youths' prosocial and antisocial behaviors. Data were derived from the China Education Panel Survey. This study involved a total of 9291 students aged 14-15 years (4834 boys, 4457 girls). We used structural equation modeling (SEM) with LISREL 8.80 and Monte Carlo resampling with R to conduct the analysis strategy. In the home-school regulation, parental supervision on the one hand and teacher criticism on the other hand have direct positive and negative predictive effects on youths' prosocial behaviors, respectively, while their direct effects on antisocial behavior are the opposite; teachers praise does not directly affect adolescents' prosocial and antisocial behaviors. In the home-school atmosphere, family interaction and perceived good class climate directly positively affect youths' prosocial behaviors, while the direct effects of both on antisocial behavior are not significant. The SEM results reveal that academic self-efficacy and depressive symptoms may be underlying mediating mechanisms through which home-school regulation and atmosphere during adolescence affect students' prosocial and antisocial behaviors. Intervention programs targeting home-school supportive environments and prevention programs targeting positive emotion and self-awareness may yield benefits for proper social behavior in adolescents. For example, by enhancing the way and frequency of parent-child interaction, teachers and students jointly create a good class climate of care and friendship to strengthen a home-school supportive environment. Improve adolescents' positive emotions such as contentment, optimism, and hope to reduce the possibility of depression.

A conceptual review on reconstructive peri-implantitis therapy: Challenges and opportunities.

OBJECTIVES: The current strategies to reconstruct lost peri-implant tissues due to the disease have been largely unpredictable. The aim of this conceptual review is to discuss relevant biological and biomechanical challenges of applying reconstructive means to treat peri-implantitis. Additionally, opportunities to improve treatment predictability are presented. MATERIAL AND METHODS: A narrative review was conducted to fulfill the aim. RESULTS: The four interrelated negative conditions hampering effective reconstruction are: inferior tissue perfusion, unfavorable bone topography, ineffective surface treatment, and unstable wound. First, peri-implant tissues resemble scars with reduced cellularity and vascularity, coupled with the absence of the periodontal ligament plexuses and the avascular implant and biomaterials, maintaining primary closure is a challenge, which is critical for regeneration. Second, defect morphology and bone topography surrounding implants determine the reconstructive potential. Unfortunately, noncontained defects are frequently encountered, with a combination of suprabony (horizontal bone loss) and infrabony (vertical usually involving circumferential bone loss) defects. Third, current attempts for implant surface decontamination are insufficient due to inaccessible macrostructure and rough surfaces in the micro-scale. Histologic evaluation has shown bacteria aggregation and calcified deposits around implants. Lastly, wound stability is difficult to achieve due to inherent soft tissue biomechanical quality and quantity deficiencies and mobile bone particulates. Opportunities to tackle the abovementioned challenges include the use of novel imaging technologies, such as high-frequency dental ultrasound and laser speckle imaging to evaluate tissue perfusion, soft tissue quality/quantity, and bone topography pre-surgically. The use of the operating microscope could allow better visualization and removal of etiologic factors. Strategies to improve soft tissue quality may include preoperative control of soft tissue inflammation and the potential use of biologics. Methods such as fixation to stabilize the biomaterials could be beneficial. CONCLUSIONS: A more nuanced understanding of the current challenges and opportunities can lead to more effective preoperative and postoperative care protocols, ultimately improving the success rate of reconstructive procedures.

Operating microscope-assisted reconstructive strategy for peri-implantitis: A case series report.

BACKGROUND: Treating peri-implantitis with reconstructive means has been largely unpredictable due to access limitations for surface decontamination, unfavorable bony topography, difficulty in achieving wound stability, and inferior soft tissue qualities. A microsurgical approach with the use of the operating microscope (OM) that provides adjustable higher magnification (∼5-30 times) and coaxial illumination, coupled with the use of microsurgical instruments, may overcome, or alleviate some of the abovementioned obstacles, resulting in more predictable outcomes. METHODS: Three patients received reconstructive therapy for correcting peri-implant defects under OM in private practice settings. After precise incisions to preserve soft tissue volume, the flaps were dissected prudently from underlying granulomatous tissues, which were subsequently removed, followed by controlled flap releasing under ∼10-15x magnification. Surface decontamination was performed using a piezoelectric ultrasonic device, air polishing, and hand instruments at ∼30x magnification. The biomaterial selections were dehydrated human de-epithelialized amnion-chorion membrane with mineralized allograft particulates in two cases and xenografts in one case, based on the surgeons' preference. Wound closure followed the non-submerged approach. RESULTS: These cases demonstrated uneventful soft tissue healing, favorable radiographic bone fill, and disease resolution with follow-ups ranging from 2 to 4 years. CONCLUSIONS: Preliminary data suggest encouraging outcomes after the microsurgical approach following biological as well as biomechanical principles for peri-implant defect reconstruction.

Effect of online and offline social network group clusters on life satisfaction across age groups.

Background: Positive social relationships are critical for better subjective well-being across ages. Future research will benefit from examining how to improve life satisfaction by utilizing social groups in new, ever-changing social and technological contexts. This study aimed to evaluate the effect of online and offline social network group clusters on life satisfaction across different age groups. Methods: Data were derived from the Chinese Social Survey (CSS) (2019), which is a nationally representative survey. We adopted a K-mode cluster analysis algorithm to categorize participants into four clusters according to their online and offline social network groups. ANOVA and chi-square analysis were used to understand the associations among age groups, social network group clusters, and life satisfaction. Multiple linear regression was applied to identify the association between social network group clusters and life satisfaction across age groups. Results: Younger and older adults had higher life satisfaction than middle-aged adults. Individuals who joined diverse social network groups had the highest life satisfaction, followed by those who joined personal and working social groups, while those who joined restricted social groups had the lowest life satisfaction (F = 81.19, p < 0.001). According to the results of multiple linear regression, individuals who belonged to diverse social groups had higher life satisfaction than those who belonged to restricted social groups among adults aged 18-59 years, except students (p < 0.05). Individuals who joined personal and working social groups had higher life satisfaction than those who joined restricted social groups among adults aged 18-29 and 45-59 years (ß = 2.15, p < 0.01; ß = 1.45, p < 0.01). Conclusions: Interventions to promote participation in diverse social network groups among adults aged 18-59 years, except for students, are highly recommended to improve life satisfaction. Health practitioners could provide interventions to encourage young and middle-aged adults to join both personal and working social groups.

Factors influencing adolescent experimental and current smoking behaviors based on social cognitive theory: A cross-sectional study in Xiamen.

Introduction: China has the largest youth population in the world. To better implement the Smoke-free School Initiative, this study aims to examine the protective and risk factors for different smoking behaviors (never smoked, experimental smoking, and current smoking) among school adolescents based on social cognitive theory. Methods: This research was a secondary analysis of a cross-sectional survey of middle schools in Huli District of Xiamen, China. The final sample consisted of 1937 participants with an average age of 15.41 (SD = 1.64). Descriptive statistics were used to summarize the sociodemographic characteristics of the sample. Multivariate multinomial logistic regression analysis was performed using four models. Results: Of the respondents, 1685 (86.99%) were never smokers, 210 (10.84%) were experimental smokers, and 42 (2.17%) were current smokers. Social norms, positive outcome expectations, anti-smoking self-efficacy, and attitudes toward control tobacco policies were associated with adolescents' smoking behaviors. The number of smoking family members, classmates smoking, the perception that smoking is cool and attractive, and attitudes toward control tobacco policies were the predictors of current smoking behavior (p < 0.05). In contrast, friends smoking and individual and social relationship motivation were associated with only experimental smoking (p < 0.05). Discussion: The relationship of social norms, positive outcome expectations, anti-smoking self-efficacy, and attitudes toward control tobacco policies varied across smoking behaviors. Family, school, society and the government need to cooperate in prevention and intervention programs for adolescent smoking. The relationships between these factors and adolescents' different smoking behaviors needs to be further verified.

Promoting the well-being of rural elderly people for longevity among different birth generations: A healthy lifestyle perspective.

Background: Wellbeing may have a protective role in health maintenance. However, no specific study clarified the particular protective effect of the subjective wellbeing of rural elderly people on survival probability. Few studies have examined the effect of the lifestyle of rural elderly people on their subjective wellbeing from different perspectives. We investigated whether improving subjective wellbeing increased the probability of longevity of rural elderly people and the effects of lifestyle behaviors on the subjective wellbeing of rural elderly people in different birth generations. Materials and methods: Data were derived from the China Health and Nutrition Survey (CHNS), which is an ongoing open cohort study that adopts a multistage, random clustered sampling process. We used the data of elderly people who were aged 65 or over during 2006-2015 for analysis. The Kaplan-Meier method and log-rank test found that the survival probability of rural elderly people was significantly lower than urban elderly people. Based on a sample of rural elderly people, Cox regression and generalized estimating equations were performed as further analyses. Results: A total of 892 rural elderly people aged 65 or over were included in the sample in 2006. High subjective wellbeing was a protective factor against death. The subjective wellbeing of rural elderly people born in the 1940s/1930s/1908-1920s birth generations first decreased then increased. For rural elderly people born in the 1940s, there were significant positive effects of a preference for eating vegetables and walking/Tai Chi on subjective wellbeing. For rural elderly people born in the 1930s, preferences for eating vegetables, reading, and watching TV all had significant positive effects on subjective wellbeing. Rural elderly people born in the 1908-1920s who preferred watching TV had more subjective wellbeing. Conclusion: Improving subjective wellbeing extended the life span and reduced mortality risk in rural elderly people and may be achieved by the shaping of a healthy lifestyle, such as preferences for eating vegetables, walking/Tai Chi, and reading.

Continuity of Care and Coordination of Care: Can they Be Differentiated?

Introduction: Both care continuity and coordination are considered essential elements of health care system. However, little is known about the relationship between care continuity and coordination. This study aimed to differentiate the concepts of care continuity and coordination by developing and testing the reliability and validity of the Combined Outpatient Care Continuity and Coordination Assessment (COCCCA) questionnaire under the universal coverage health care system in Taiwan from a patient perspective. Methods: Face-to-face interviews were conducted nationwide with community-dwelling older adults selected via stratified multistage systematic sampling with probability-proportional-to-size process. A total of 2,144 subjects completed the questionnaire, with a response rate of 44.67%. Results: The 16 items of the COCCCA questionnaire were identified via item analysis and principal component analysis (PCA). The PCA generated five dimensions: three continuity-oriented (interpersonal, information sharing and longitudinal between patients and physicians) and two coordination-oriented (information exchange and communication/cooperation among multiple physicians). The second-order confirmatory factor analysis supported the factor structure and indicated that distinct constructs of care continuity and coordination can be identified. Conclusion: The COCCCA instrument can differentiate the concepts of care continuity and care coordination and has been demonstrated to be valid and reliable in outpatient care settings from a patient perspective.

Influence of promoting an "age-friendly cities" strategy on psychological capital and social engagement based on the scenario method.

Holding large conferences and events usually encourages the corresponding government to upgrade the host city. For this process, incorporating additional costs to increase accessibility for the elderly is a feasible means for a city to develop in an age-friendly manner. Providing evidence-based reports to policy makers is conducive to implementing the policies of age-friendly cities. This study used the scenario method to simulate the effect of promoting the "age-friendly cities" strategy on residents' psychological capital and social engagement (SE). We found that promoting the construction of age-friendly cities can significantly improve residents' psychological capital and SE and that residents from all age groups can benefit. This paper provides an economical means to influence policymakers through evidence-based reports in promoting the development of age-friendly cities.

Sleep duration and depression among adolescents: Mediation effect of collective integration.

Adolescence is a time of dramatic physical and mental change when adolescents are extremely vulnerable to various mental health problems. Depression and poor sleep duration are increasingly common among adolescents. This study is mainly aimed to verify the important mediating role of collective integration on sleep duration and depression and examine the interrelationship between sleep duration and depression in adolescents longitudinally. The data were obtained from the Wave 1 (in 2013-2014) and Wave 2 (in 2014-2015) longitudinal surveys of China Education Panel Survey (CEPS). The analytic sample in the present study included 8,829 seventh-grade students aged about 14 years (51.50% boys and 48.50% girls). A structural equation modeling (SEM) was used to investigate parent-child/teacher factors affecting adolescent sleep duration and depression, and Monte Carlo resampling with R was employed to confirm the significance of the mediation effects of collective integration. An autoregressive cross-lagged model was employed to analyze the interrelationship between adolescent sleep duration and depression. The findings were as follows. Firstly, collective integration strongly mediated the relationships among academic self-efficacy, parental involvement, teacher praise/criticism, sleep duration, and depression. Secondly, sleep duration and depression were found to have enduring effects and have effects on each other. Thirdly, parental involvement and teacher praise were positively associated with sleep quality and negatively associated with depression. Teacher criticism was negatively associated with sleep quality and positively associated with depression. Compared with teacher praise, teacher criticism has stronger effects on youth sleep duration and depression. In conclusion, improving sleep problems and depression in adolescents as early as possible can stop the persistent and long-term consequences of these problems. Increasing teacher praise, decreasing teacher criticism, and increasing adolescents' collective integration were effective ways to improve adolescents' sleep duration and mediate depression.

Improving the sense of city belonging among migrant elderly following family from an elderly service perspective: a cross-sectional study.

BACKGROUND: The migrant elderly following family (MEFF), who migrates to new community to reunite with families, may face challenges of city integration and belonging. This study aims to explore from an elderly service perspective how to improve the sense of city belonging for MEFFs with and without hypertension/diabetes conditions. METHODS: Data were derived from the 2017 China Migrants Dynamic Survey and China National Statistical Yearbooks in 2017. The study included 882 MEFFs with hypertension or diabetes and 1266 MEFFs without hypertension and diabetes. Hierarchical linear modeling was applied to analyze the effects of individual and provincial elderly services on sense of city belonging among the MEFF with and without hypertension/diabetes. RESULTS: The MEFFs with hypertension or diabetes exhibited a greater sense of city belonging when they were familiar with a wider range of health education topics (γ = 0.05, p = 0.033) and were in those provinces with a greater number of licensed doctors (γ = 0.39, p < 0.001) and hospitals (p = 0.042). For those MEFFs without hypertension or diabetes, social security cards (γ = 0.57, p < 0.001) and awareness of a wider range of health education topics (γ = 0.07, p = 0.018) may help to improve their sense of city belonging. CONCLUSION: This study calls for strengthening the accessibility in inclusive elderly services, and minimizing or even eliminating the inequality in elderly services at the individual and provincial levels to increase sense of city belonging among the MEFFs. For the MEFFs with hypertension or diabetes, health managers should focus on improving health information dissemination and increasing the number of doctors per 1000 people as well as and the number of hospitals to enhance the sense of city belonging. Moreover, the government should strengthen social security and health education to facilitate the adaptation and integration of MEFFs without hypertension and diabetes into the host city.

The role of collective integration and parental involvement on adolescent anxiety-A multilevel analysis.

BACKGROUND: Adolescent anxiety should receive more attention than it currently does since it might have long-term impacts that develop across the entire lifespan. We aim to clarify how school-, class- and individual-level factors affect adolescent anxiety and to try to identify the key mediators and moderators that help alleviate adolescent anxiety. METHODS: We used data from the China Education Panel Survey (CEPS), which is a longitudinal survey. A total of 7582 students aged 14-15 years (in 257 classes within 98 schools) were followed across two survey waves. Since the data are structured hierarchically, we utilized multilevel modeling with HLM 7.0 and Monte Carlo resampling with R to confirm the significance of the mediation effects. Then, we drew interaction diagrams to explain the effects of the moderator. RESULTS: A higher share of interprovincial migrant students in the school, greater respect for teachers in the classroom, and greater self-confidence in one's personal appearance all reduce adolescent anxiety. Collective integration, as a key mediator, explains how the school-/individual-level factor affects adolescent anxiety. Parental involvement moderates the relationship between collective integration and adolescent anxiety. LIMITATIONS: Most of the variables were self-reported by the students. The findings of this study should be applied with caution to cross-cultural contexts. CONCLUSIONS: We advocate for a multipronged approach, particularly an approach that uses different strategies at school, class, and individual levels, to help students develop the skills needed to enhance their social inclusion and sense of personal belonging.

Assessing the Impacts of Meteorological Factors on COVID-19 Pandemic Using Generalized Estimating Equations.

Background: Meteorological factors have been proven to affect pathogens; both the transmission routes and other intermediate. Many studies have worked on assessing how those meteorological factors would influence the transmissibility of COVID-19. In this study, we used generalized estimating equations to evaluate the impact of meteorological factors on Coronavirus disease 2019 (COVID-19) by using three outcome variables, which are transmissibility, incidence rate, and the number of reported cases. Methods: In this study, the data on the daily number of new cases and deaths of COVID-19 in 30 provinces and cities nationwide were obtained from the provincial and municipal health committees, while the data from 682 conventional weather stations in the selected provinces and cities were obtained from the website of the China Meteorological Administration. We built a Susceptible-Exposed-Symptomatic-Asymptomatic-Recovered/Removed (SEIAR) model to fit the data, then we calculated the transmissibility of COVID-19 using an indicator of the effective reproduction number (Reff ). To quantify the different impacts of meteorological factors on several outcome variables including transmissibility, incidence rate, and the number of reported cases of COVID-19, we collected panel data and used generalized estimating equations. We also explored whether there is a lag effect and the different times of meteorological factors on the three outcome variables. Results: Precipitation and wind speed had a negative effect on transmissibility, incidence rate, and the number of reported cases, while humidity had a positive effect on them. The higher the temperature, the lower the transmissibility. The temperature had a lag effect on the incidence rate, while the remaining five meteorological factors had immediate and lag effects on the incidence rate and the number of reported cases. Conclusion: Meteorological factors had similar effects on incidence rate and number of reported cases, but different effects on transmissibility. Temperature, relative humidity, precipitation, sunshine hours, and wind speed had immediate and lag effects on transmissibility, but with different lag times. An increase in temperature may first cause a decrease in virus transmissibility and then lead to a decrease in incidence rate. Also, the mechanism of the role of meteorological factors in the process of transmissibility to incidence rate needs to be further explored.

Effects of Social Attachment on Experimental Drug Use From Childhood to Adolescence: An 11-Year Prospective Cohort Study.

Background: Drug use among adolescents are still crucial issues that endanger their lifetime health. Evidence concerning the interpersonal-related factors influencing youngsters' experimental drug use behavior, especially from longitudinal and school-based prospective cohort studies, is insufficient. We aimed to describe the annual incidence rate and mean annual incidence rate of experimental drug use from childhood to adolescence by education stage, clarify the risk in childhood and examine the longitudinal relationship between social attachment factors and experimental drug use. Materials and Methods: The data were derived from the 1st to 11th wave of the longitudinal study. In total, 1,106 respondents aged 19-20-year-old were followed up for 11 years (from 9 to 10-year-old) in Taiwan. A survival analysis was used to analyze the time-invarying/time-dependent effects of social attachment factors on experimental drug use. Results: The mean annual incidence rate of experimental drug use from childhood to adolescence was 6.8‰. The incidence increased over time and was the highest in the first year of university (19.3‰). Boys were more likely to use drugs than girls. A low degree of self-perceived likeability in childhood was a risk factor influencing experimental drug use. On average, a low degree of parental supervision and a high degree of family conflict were both influential risk factors. According to the time-dependent models, a high degree of parental supervision, a high degree of family support and a low degree of family conflict in the current year can protect children and adolescents from drug use, whereas a sustained low degree of parental supervision and a high degree of family conflict may promote students' experimental drug use. Conclusion: Parents should be informed and educated to avoid family conflict during childhood, maintain consistent supervision of their children's behavior, provide adequate family support, and pay attention to their children's interpersonal relationships in school. Teachers should focus on the social attachment status of their students while considering their attachments to their families and peers.

An Easy-to-Use Public Health-Driven Method (the Generalized Logistic Differential Equation Model) Accurately Simulated COVID-19 Epidemic in Wuhan and Correctly Determined the Early Warning Time.

Introduction: Modeling on infectious diseases is significant to facilitate public health policymaking. There are two main mathematical methods that can be used for the simulation of the epidemic and prediction of optimal early warning timing: the logistic differential equation (LDE) model and the more complex generalized logistic differential equation (GLDE) model. This study aimed to compare and analyze these two models. Methods: We collected data on (coronavirus disease 2019) COVID-19 and four other infectious diseases and classified the data into four categories: different transmission routes, different epidemic intensities, different time scales, and different regions, using R2 to compare and analyze the goodness-of-fit of LDE and GLDE models. Results: Both models fitted the epidemic curves well, and all results were statistically significant. The R2 test value of COVID-19 was 0.924 (p < 0.001) fitted by the GLDE model and 0.916 (p < 0.001) fitted by the LDE model. The R2 test value varied between 0.793 and 0.966 fitted by the GLDE model and varied between 0.594 and 0.922 fitted by the LDE model for diseases with different transmission routes. The R2 test values varied between 0.853 and 0.939 fitted by the GLDE model and varied from 0.687 to 0.769 fitted by the LDE model for diseases with different prevalence intensities. The R2 test value varied between 0.706 and 0.917 fitted by the GLDE model and varied between 0.410 and 0.898 fitted by the LDE model for diseases with different time scales. The GLDE model also performed better with nation-level data with the R2 test values between 0.897 and 0.970 vs. 0.731 and 0.953 that fitted by the LDE model. Both models could characterize the patterns of the epidemics well and calculate the acceleration weeks. Conclusion: The GLDE model provides more accurate goodness-of-fit to the data than the LDE model. The GLDE model is able to handle asymmetric data by introducing shape parameters that allow it to fit data with various distributions. The LDE model provides an earlier epidemic acceleration week than the GLDE model. We conclude that the GLDE model is more advantageous in asymmetric infectious disease data simulation.

Parents' right strategy on preventing youngsters' recent suicidal ideation: a 13-year prospective cohort study.

BACKGROUND: Suicide remains the second leading cause of death among youths. Family-related factors are considered important determinants of children's suicidal ideation, whereas their short-/long-term influence is seldom quantified. AIMS: We aim to confirm the simultaneous/lagged effects of family-related factors on the occurrence of recent suicidal ideation from childhood to young adulthood (aged from 10 to 22 years old). METHOD: Data were derived from a longitudinal prospective cohort study. Participants included 2065 students who were followed up for 13 years. Generalized estimating equations were used to clarify the influential effects of family-related factors on suicidal ideation during the past month. RESULTS: The peak of the rate of recent suicidal ideation arrived during junior high school years. Family interaction, family support, family involvement, and parental punishment had simultaneous effects on recent suicidal ideation. Family involvement, parental conflict, and psychological control had lagged and lasting effects on suicidal ideation. Notably, the lasting protective effects of family involvement were more obvious than simultaneous effects. CONCLUSIONS: Providing parents with sustained support and education to improve their "positive parenting literacy" can help with their children's mental health development. This is especially the case during COVID-19 quarantine periods when families spend the most time together at home.

Appropriate Strategies for Reducing the Negative Impact of Online Reports of Suicide and Public Opinion From Social Media in China.

Suicide events may have a negative impact on all of society. The media plays a significant role in suicide prevention. Therefore, the aims of this study are (a) to understand the association between characteristics of suicide events and characteristics of who committed suicide, and event impact indexes (EIIs) of suicide reported on the internet; (b) to analyze violation of recommendations for reporting suicide by Weibo, and (c) to investigate the effect of online reports of suicide on public opinion. We carried out a content analysis of online reports of suicide. This study analyzed 113 suicide events, 300 news reports of suicide, and 2,654 Weibo comments about suicide collected from the WeiboReach between 2015 and 2020. We used a t-test and analysis of variance (ANOVA) to explore the potential factors associated with the EIIs of suicide events. The results found that (a) The suicide events reported on the internet during COVID-19 and those related to celebrities and students tend to have higher EIIs; (b) suicide reports on Weibo frequently violated WHO recommendations for suicide reporting in the media; and (c) public opinion of suicide reporting in the online media was mostly emotional and irrational, which is not beneficial for public mental health and suicide prevention. In conclusion, first, the situation of many people working from home or studying from home and spreading more time online during COVID-19 may lead to suicide events obtain more public attention. Online media could further improve public responsible reporting and daily media-content surveillance, especially taking particular care in those suicide events during COVID-19, and related to celebrities and students, which may have a higher event impact on the internet. Second, health managers should regular assessment of observance of the WHO recommendations for suicide reporting by online social media to prevent suicide. Third, health communication managers should use big data to identify, assess, and manage harmful information about suicide; and track anyone affected by suicide-related reports on social media to reduce the negative impact of public opinion to intervene suicide in the early stage of suicide.