Psychometric properties of the Chinese version of the 15-item Need for Closure Scale: Scale validation and associations with mental health

BACKGROUND

Need for closure (NFC) has been found to be implicated in different forms of psychopathology. The 15-item Need for Closure Scale (NFCS) is an efficient and easy tool for assessing individuals' NFC in Western contexts. However, the psychometric properties of the 15-item NFCS have not yet been validated in Chinese populations.

METHODS

Two different samples of university students from China were recruited in this study. The first sample (N = 5080, 49.9% females) was used to conduct exploratory factor analysis and reliability analysis. The second sample (N = 3968, 64.2% females) was used to perform confirmatory factor analysis, exploratory structural equation modeling (ESEM), and bifactor models, followed by tests of measurement invariance and criterion validity.

RESULTS

The full scale showed good internal consistency. The bifactor-ESEM result with a general factor and four specific factors was chosen as our final model. Strong measurement invariance across sex and ethnicity groups was supported. Evidence was obtained for the criterion validity of NFCS scores with respect to depression, anxiety, and psychological distress.

CONCLUSION

The Chinese NFCS appears to be a valid and reliable instrument for measuring the NFC, which could promote both the assessment and research of the NFC in Chinese populations.

Physical activity, recreational screen time, and depressive symptoms among Chinese children and adolescents: a three-wave cross-lagged study during the COVID-19 pandemic

BACKGROUND

Longitudinal evidence is lacking on the interplay between lifestyle behaviors and depressive symptoms, especially in the context of the COVID-19 pandemic. This study investigated the changes in physical activity and recreational screen time during the pandemic, along with their reciprocal associations with depressive symptoms among children and adolescents.

METHODS

The public health emergency due to the pandemic started in January 2023 and lasted for two months in Shanghai, China. A three-wave longitudinal study was conducted among 1,666 children and adolescents (6-18 years) in January, March, and July 2023. Moderate-to-vigorous intensity physical activity (MVPA), recreational screen time, and depressive symptoms were measured using self-reported questionnaires. Random-intercept cross-lagged panel models were constructed to examine the bidirectional associations between physical activity and recreational screen time with depressive symptoms.

RESULTS

Children and adolescents experienced a significant decrease in MVPA and a substantial increase in recreational screen time during the pandemic, which failed to return to pre-pandemic levels post-pandemic. Pre-pandemic MVPA was negatively associated with subsequent depressive symptoms (β = -0.147). Conversely, pre-pandemic depressive symptoms were positively associated with subsequent recreational screen time (β = 0.085), which in turn predicted heightened post-pandemic depressive symptoms (β = 0.076). When stratified by age, significant associations were found in adolescents but not children.

CONCLUSIONS

Sustained unhealthy changes in physical activity and recreational screen time were observed during the COVID-19 pandemic among children and adolescents. This study elucidates a potential reciprocal relationship between lifestyle behaviors and mental well-being. Effective interventions are emphasized to counter the negative impacts of insufficient physical activity and excessive screen use on the mental health of children and adolescents.

Does smart city pilot improve green total factor productivity? Evidence from Chinese cities

In recent years, the construction of smart cities has gradually become an effective means of addressing urban economic and environmental challenges. Based on panel data of 249 Chinese cities from 2005 to 2020, this study uses a super-efficiency epsilon-based measure model and a Malmquist-Luenberger index to calculate the urban green total factor productivity (GTFP). Using the smart city pilot as a quasi-natural experiment, the time-varying difference-in-difference (DID) method is applied to determine the causal effect of smart city pilot on GTFP. Results show that smart city pilot increases urban GTFP in China, and a series of robust analyses have verified the reliability of the results. The heterogeneity analysis results show that the smart city pilot policy has a more significant positive effect on urban GTFP in the eastern and central regions, the high population group, and the high per capita GDP group. The mediating analysis further suggests that smart city pilot positively affects technological innovations and human capital which promotes urban GTFP. These findings are of great significance for smart city construction and coordinating the relationship between urban economic development and environmental protection.

Microfluidic Wearable Devices for Sports Applications

This study aimed to systematically review the application and research progress of flexible microfluidic wearable devices in the field of sports. The research team thoroughly investigated the use of life signal-monitoring technology for flexible wearable devices in the domain of sports. In addition, the classification of applications, the current status, and the developmental trends of similar products and equipment were evaluated. Scholars expect the provision of valuable references and guidance for related research and the development of the sports industry. The use of microfluidic detection for collecting biomarkers can mitigate the impact of sweat on movements that are common in sports and can also address the issue of discomfort after prolonged use. Flexible wearable gadgets are normally utilized to monitor athletic performance, rehabilitation, and training. Nevertheless, the research and development of such devices is limited, mostly catering to professional athletes. Devices for those who are inexperienced in sports and disabled populations are lacking. Conclusions: Upgrading microfluidic chip technology can lead to accurate and safe sports monitoring. Moreover, the development of multi-functional and multi-site devices can provide technical support to athletes during their training and competitions while also fostering technological innovation in the field of sports science.

Association between Types of Screen Time and Weight Status during the COVID-19 Pandemic: A Longitudinal Study in Children and Adolescents

BACKGROUND

This study aimed to investigate the changes in distinct types of screen time and explore their longitudinal association with children and adolescents' weight status.

METHODS

A two-wave longitudinal study was conducted among 2228 children and adolescents (6-19 years) in Shanghai, China, before and during the pandemic. Recreational screen time (watching TV/videos, online gaming, using social media, and browsing webpages), educational screen time (online homework and online class), and BMI were measured using a self-reported questionnaire. Mixed-effects models were constructed to assess the associations between screen time and weight status.

RESULTS

The prevalence of overweight and obesity was 20.5% and 10.2% at baseline, respectively. Both recreational and educational screen time increased significantly over two months. While recreational screen time was found to be a risk factor for obesity, it was not the case for educational screen use. Specifically, adolescents who spent more time watching TV/videos had a higher obesity risk (OR = 1.576). No significant associations were found in children.

CONCLUSIONS

Overweight and obesity were prevalent among children and adolescents in China. Reducing screen-based activities is a promising strategy to prevent unhealthy weight gain in Chinese children and adolescents, while it is necessary to consider the content and distinguish between educational and recreational screen use.

Employee posts on personal social media: the mediation role of work-life conflict on employee engagement

Personal social media, as a private space, seems to have become another important arena for employees to share work-related posts, and the number of employee posts on social media is proliferating. However, academic scrutiny of the impact of social media usage remains inconclusive, and little is known regarding how employee posts affect employee engagement. The present study aims to fill this crucial gap in the existing research by constructing a conceptual model to unravel how employee posts shared on different personal social media platforms (strong-tie vs. weak-tie) influence employee engagement, as well as the moderating role of post content and employees' work-life segmentation preferences. Taking the Chinese workplace as a case, we conducted a survey of 402 participants from more than 30 organizations. The results revealed that employee posts on strong-tie social media platforms will lower employee engagement via the mediating role of work-life conflict. Moreover, these negative effects can be attenuated for sharing user-oriented posts (vs. organization-oriented posts) and employees with lower segmentation preferences, confirming the moderating role of post content and segmentation preferences. The findings contribute to the theoretical understanding of employee engagement by expanding boundary theory, and provide managerial implications for social media strategies, and organizational support.

A converging reputation ranking iteration method via the eigenvector

Ranking user reputation and object quality in online rating systems is of great significance for the construction of reputation systems. In this paper we put forward an iterative algorithm for ranking reputation and quality in terms of eigenvector, named EigenRank algorithm, where the user reputation and object quality interact and the user reputation converges to the eigenvector associated to the greatest eigenvalue of a certain matrix. In addition, we prove the convergence of EigenRank algorithm, and analyse the speed of convergence. Meanwhile, the experimental results for the synthetic networks show that the AUC values and Kendall’s τ of the EigenRank algorithm are greater than the ones from the IBeta method and Vote Aggregation method with different proportions of random/malicious ratings. The results for the empirical networks show that the EigenRank algorithm performs better in accuracy and robustness compared to the IBeta method and Vote Aggregation method in the random and malicious rating attack cases. This work provides an expectable ranking algorithm for the online user reputation identification.

Biological insights into systemic lupus erythematosus through an immune cell-specific transcriptome-wide association study

OBJECTIVE

Genome-wide association studies (GWAS) have identified >100 risk loci for systemic lupus erythematosus (SLE), but the disease genes at most loci remain unclear, hampering translation of these genetic discoveries. We aimed to prioritise genes underlying the 110 SLE loci that were identified in the latest East Asian GWAS meta-analysis.

METHODS

We built gene expression predictive models in blood B cells, CD4+ and CD8+ T cells, monocytes, natural killer cells and peripheral blood cells of 105 Japanese individuals. We performed a transcriptome-wide association study (TWAS) using data from the latest genome-wide association meta-analysis of 208 370 East Asians and searched for candidate genes using TWAS and three data-driven computational approaches.

RESULTS

TWAS identified 171 genes for SLE (p<1.0×10-5); 114 (66.7%) showed significance only in a single cell type; 127 (74.3%) were in SLE GWAS loci. TWAS identified a strong association between CD83 and SLE (p<7.7×10-8). Meta-analysis of genetic associations in the existing 208 370 East Asian and additional 1498 cases and 3330 controls found a novel single-variant association at rs72836542 (OR=1.11, p=4.5×10-9) around CD83. For the 110 SLE loci, we identified 276 gene candidates, including 104 genes at recently-identified SLE novel loci. We demonstrated in vitro that putative causal variant rs61759532 exhibited an allele-specific regulatory effect on ACAP1, and that presence of the SLE risk allele decreased ACAP1 expression.

CONCLUSIONS

Cell-level TWAS in six types of immune cells complemented SLE gene discovery and guided the identification of novel genetic associations. The gene findings shed biological insights into SLE genetic associations.

Differences in Explicit Stereotype Activation among Social Groups Based on the Stereotype Content Model: Behavioral and Electrophysiological Evidence in Chinese Sample

The stereotype content model (SCM; Fiske, Cuddy, Glick and Xu, 2002) identifies four basic categories of stereotyped social groups: high warmth-high competence (HW-HC), high warmth-low competence (HW-LC), low warmth-high competence (LW-HC), and low warmth-low competence (LW-LC). However, many of these groups have not been directly examined in stereotype activation research. The purpose of the present research was to extend stereotype activation research to groups that more fully represent those identified under the SCM. Employing explicit sequential priming task, participants responded to prime-target stimulus pairs that were either congruent or incongruent with stereotypes of social groups from all four SCM quadrants in two studies in the current investigation. Study 1 was to determine the behavioral pattern of explicit stereotype activation among four quadrants (the sample included 60 Chinese undergraduate students, 51%-female). Study 2 further employed event-related brain potentials (ERPs) technique to track the time course and electrophysiological underpinnings of explicit stereotype activation (the sample included 22 right-handed Chinese undergraduate students, 76%-female). In Study 1, participants responded more quickly and accurately on stereotype congruent trials than incongruent trials for all social groups except LW-LC groups. This reverse priming effect on LW-LC social groups in RTs was also replicated in Study 2. ERPs findings further showed that incongruent targets elicited larger N400 amplitudes than congruent targets for all four SCM quadrants. Moreover, congruent targets elicited larger P2 than incongruent targets, but only found for the LW-LC social groups. In addition, congruent targets elicited larger amplitudes of late positive component than incongruent targets for the low warmth (LW-LC and LW-HC) groups. Together, these results highlight the unique processing that LW-LC groups receive throughout the cognitive stream, ultimately manifesting in distinctive behavioral responses. Unconscious activation of egalitarian goals, disgust, and distrust accounts are discussed.