Influence of anxious attachment on the relationship between primary emotions and substance-related addictive behaviors.

Objectives: To date there is no universally accepted model that describes the development of substance related addictive behavior. In order to address this gap, the study sought to examine whether the association between primary emotions and the inclination toward addictive behavior is mediated by an anxious attachment style. Methods: The total sample consisted of 900 German speaking non-clinical adults (age: M = 27; SD = 9.60; 71.6% female). Structural Equation Modeling (SEM) was applied to examine the connection between the primary emotions (SADNESS and ANGER), and the latent variables attachment anxiety and symptoms of addictive behavior. Results: Substance use symptomatology was correlated with higher attachment anxiety (r = 0.15), SADNESS (r = 0.15), and ANGER (r = 0.11). The effect of SADNESS on addictive behavior is mediated by attachment anxiety (p < 0.01) whereas ANGER had a direct effect on addictive behavior (p < 0.01). The final SEM explains 4% of the variance of addictive behaviors and 22% of attachment anxiety. Conclusion: Our findings suggest that both SADNESS and ANGER, along with attachment anxiety, are dispositions that contribute to the risk of engaging in addictive behavior. However, while ANGER directly influences addictive behavior, SADNESS acts through its impact on attachment anxiety.

Exploring the recycled water acceptance based on the technological perspective of UTAUT2: a hybrid analytical approach.

Introduction: The development of advanced sewage technologies empowers the industry to produce high-quality recycled water, which greatly influences human's life and health. Thus, this study investigates the mechanism of individuals' adoption of recycled water from the technology adoption perspective. Methods: Employing the mixed method of structural equation modeling and artificial neural network analysis, we examined a research model developed from the extended Unified Theory of Acceptance and Use of Technology (UTAUT2) framework. To examine the research model, this study employs a leading web-survey company (Sojump) to collect 308 valid samples from the residents in mainland China. Results: The structural equation modeling results verified the associations between the six predictors (performance expectancy, effort expectancy, social influence, facilitating conditions, environmental motivation, and price value), individuals' cognitive and emotional attitudes, and acceptance intention. The artificial neural network analysis validates and complements the structural equation modeling results by unveiling the importance rank of the significant determinants of the acceptance decisions. Discussion: The study provides theoretical implications for recycled water research and useful insights for practitioners and policymakers to reduce the environmental hazards of water scarcity.

Metagenomic and FT-ICR MS insights into the mechanism for the arsenic biogeochemical cycling in groundwater.

Arsenic (As) is a groundwater contaminant of global concern. The degradation of dissolved organic matter (DOM) can provide a reducing environment for As release. However, the interaction of DOM with local microbial communities and how different sources and types of DOM influence the biotransformation of As in aquifers is uncertain. This study used optical spectroscopy, Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS), metagenomics, and structural equation modeling (SEM) to demonstrate the how the biotransformation of As in aquifers is promoted. The results indicated that the DOM in high-As groundwater is dominated by highly unsaturated low-oxygen(O) compounds that are quite humic and stable. Metagenomics analysis indicated Acinetobacter, Pseudoxanthomonas, and Pseudomonas predominate in high-As environments; these genera all contain As detoxification genes and are members of the same phylum (Proteobacteria). SEM analyses indicated the presence of Proteobacteria is positively related to highly unsaturated low-O compounds in the groundwater and conditions that promote arsenite release. The results illustrate how the biogeochemical transformation of As in groundwater systems is affected by DOM from different sources and with different characteristics.

Phase-Transitions in Disgust During Self-Initiated Eating Among Adolescents With Anorexia Nervosa and Related Low-Weight Eating Disorders and Matched Controls.

BACKGROUND: Understanding the emotional context of feeding behavior may help identify causal mechanisms of food avoidance among individuals with anorexia nervosa. Although predominant food avoidance models assume fear of fat drives feeding behavior, disgust may be more theoretically and proximally relevant to moment-to-moment experiences of feeding. This study, therefore, aimed to examine affect and food avoidance using automated affect analysis from facial response by measuring time-specific transitions in disgust during a laboratory eating paradigm. We hypothesized that phase transitions in disgust would distinguish temporally self-initiated eating from food avoidance. METHODS: Sixty-three adolescents with anorexia nervosa or another low-weight eating disorder (LWED) and 27 age- and sex-matched controls were recruited as part of a larger study; 45 patients and 22 controls provided data on autonomous eating and facial affect during a laboratory meal. Dynamic structural equation models quantified moment-to-moment relationships between disgust and feeding behavior. RESULTS: Self-initiated eating was associated with greater increases in disgust, but not fear, intensity among those with LWED relative to control participants and greater disgust intensity predicted lower likelihood of self-initiated eating. DISCUSSION: Phasic transitions in disgust provide moment-to-moment evidence of affective influence on self-initiated eating and lend credibility to the hypothesis that disgust contributes to food avoidance and initiation in individuals with LWED.

Association of Positive, Negative, and Disorganized Schizotypy With the Temporal Dynamics of Schizotypic Experiences in Daily Life.

BACKGROUND AND HYPOTHESIS: Schizotypy is a useful and unifying construct for examining the etiology, development, and expression of schizophrenia-spectrum psychopathology. The positive, negative, and disorganized schizotypy dimensions are associated with distinct patterns of schizophrenia-spectrum symptoms and impairment. Furthermore, they are differentiated by mean levels of psychotic-like, suspicious, negative, and disorganized schizotypic experiences in daily life, and by temporal dynamics of affect. The schizotypy dimensions were thus hypothesized to be differentiated by the temporal dynamics of schizotypic experiences in daily life. STUDY DESIGN: The present study employed experience sampling methodology in a large nonclinically ascertained sample (n = 693) to examine the associations of multidimensional schizotypy with psychotic-like, suspicious, negative, and disorganized schizotypic experiences in daily life, as well as with their temporal dynamics (variability, reactivity, inertia, and instability). STUDY RESULTS: We replicated the mean-level associations between multidimensional schizotypy and schizotypic experiences in daily life. Furthermore, positive, negative, and disorganized schizotypy demonstrated hypothesized, differential patterns of temporal dynamics of schizotypic experiences. Disorganized schizotypy demonstrated the most robust associations, including intensity, variability, and inertia of disorganized schizotypic experiences. Disorganized schizotypy also moderated reactivity of psychotic-like and disorganized schizotypic experiences following previously reported stress. Positive schizotypy was associated with intensity and variability of psychotic-like experiences. Negative schizotypy was associated with intensity and variability of negative schizotypic experiences. CONCLUSIONS: The findings indicate that schizotypy dimensions can be differentiated by both mean levels and temporal patterns of psychotic-like, suspicious, negative, and disorganized schizotypic experiences in daily life, with disorganized schizotypy uniquely characterized by stress reactivity.

The mediating effect of job involvement in the relationship between tennis Instructors' perceived organizational justice and turnover intentions: a multi-group analysis across generations.

Introduction: This study aimed to analyze the role of job involvement as a mediator in the relationship between tennis coaches' perceived organizational justice and their intention to leave, considering the unique professional context and demands of tennis coaching. Additionally, it sought to identify any generational differences in this model. The research categorizes perceived organizational justice into procedural and distributive justice, and job involvement into job attachment and job commitment. Methods: The study incorporated data from 201 coaches working at commercial tennis facilities nationwide. Perceived organizational justice and job involvement were measured using validated scales. The mediation model was tested using structural equation modeling (SEM), and a multi-group analysis was conducted to identify generational differences. Results: Results indicated that job involvement partially mediated the relationship between perceived organizational justice and turnover intentions, with distributive justice having a stronger total effect. The multi-group analysis revealed generational variances: distributive justice influenced turnover intentions more among the MZ generation, while procedural justice had a greater impact on the older generation. Discussion: These findings offer valuable insights for commercial tennis facilities aiming to reduce turnover and manage generational conflicts. Understanding the differential impacts of procedural and distributive justice on various generations can help tailor strategies to enhance organizational operation and employee retention. Conclusion: The study highlights the importance of perceived organizational justice and job involvement in influencing tennis coaches' turnover intentions. The generational differences observed suggest that targeted interventions based on generational characteristics can be effective in reducing turnover and improving organizational stability. Future research should explore other potential mediators and extend the model to different sports and organizational contexts.

The relationship between semantics, phonology, and naming performance in aphasia: a structural equation modeling approach.

The exploration of naming error patterns in aphasia provides insights into the cognitive processes underlying naming performance. We investigated how semantic and phonological abilities correlate and how they influence naming performance in aphasia. Data from 296 individuals with aphasia, drawn from the Moss Aphasia Psycholinguistics Project Database, were analyzed using a structural equation model. The model incorporated latent variables for semantics and phonology and manifest variables for naming accuracy and error patterns. There was a moderate positive correlation between semantics and phonology after controlling for overall aphasia severity. Both semantic and phonological abilities influenced naming accuracy. Semantic abilities are negatively related to semantic, mixed, unrelated errors and no responses. Interestingly, phonology positively affected semantic errors. Additionally, phonological abilities are negatively related to each of the phonological and neologism errors. These results highlight the role of semantic and phonological skills on naming performance in aphasia and reveal a relationship between these cognitive processes.

Biochar effects on salt-affected soil properties and plant productivity: A global meta-analysis.

Biochar has been recognized as a promising practice for ameliorating degraded soils, yet the consensus on its effects remains largely unknown due to the variability among biochar, soil and plant. This study therefore presents a meta-analysis synthesizing 92 publications containing 987 paired data to scrutinize biochar effects on salt-affected soil properties and plant productivity. Additionally, a random meta-forest approach was employed to identify the key factors of biochar on salt-affected soil and plant productivity. Results showed that biochar led to significant reductions in electrical conductivity (EC), bulk density (BD) and pH by 7.4%, 4.7% and 1.2% compared to the unamended soil, respectively. Soil organic carbon (by 55.1%) and total nitrogen (by 31.3%) increased significantly with biochar addition. Moreover, biochar overall enhanced plant productivity by 31.5%, and more pronounced increases in forage/medicinal with higher salt tolerance than others. The results also identified that the soil salinity and biochar application rate were the most important co-regulators for EC and PP changes. The structural equation model further showed that soil salinity (P < 0.001), biochar pH (P < 0.001) and biochar specific surface area (P < 0.01) had a significant negative effect on soil EC, but it was positively impacted by biochar pyrolysis temperature (P < 0.05). Furthermore, plant productivity was positively affected by biochar pH (P < 0.001) and biochar feedstock (P < 0.01), while negatively influenced by biochar pyrolysis temperature (P < 0.01). This study highlights that woody biochar with 7.6 < pH < 9.0 and pyrolyzed at 400-600 °C under 30-70 t ha-1 application rate in moderately saline coarse soils is a recommendable pattern to enhance forage/medicinal productivity while reducing soil salinity. In conclusion, biochar offers promising avenues for ameliorating degradable soils, but it is imperative to explore largescale applications and field performance across different biochar, soil, and plant types.

Broadcasters, receivers, functional groups of metabolites, and the link to heart failure by revealing metabolomic network connectivity.

BACKGROUND AND OBJECTIVE: Blood-based small molecule metabolites offer easy accessibility and hold significant potential for insights into health processes, the impact of lifestyle, and genetic variation on disease, enabling precise risk prevention. In a prospective study with records of heart failure (HF) incidence, we present metabolite profiling data from individuals without HF at baseline. METHODS: We uncovered the interconnectivity of metabolites using data-driven and causal networks augmented with polygenic factors. Exploring the networks, we identified metabolite broadcasters, receivers, mediators, and subnetworks corresponding to functional classes of metabolites, and provided insights into the link between metabolomic architecture and regulation in health. We incorporated the network structure into the identification of metabolites associated with HF to control the effect of confounding metabolites. RESULTS: We identified metabolites associated with higher and lower risk of HF incidence, such as glycine, ureidopropionic and glycocholic acids, and LPC 18:2. These associations were not confounded by the other metabolites due to uncovering the connectivity among metabolites and adjusting each association for the confounding metabolites. Examples of our findings include the direct influence of asparagine on glycine, both of which were inversely associated with HF. These two metabolites were influenced by polygenic factors and only essential amino acids, which are not synthesized in the human body and are obtained directly from the diet. CONCLUSION: Metabolites may play a critical role in linking genetic background and lifestyle factors to HF incidence. Revealing the underlying connectivity of metabolites associated with HF strengthens the findings and facilitates studying complex conditions like HF.

[EQ-5D-3L based quality of life for patients of pneumoconiosis combined with tuberculosis and its influencing factors].

Objective: To understand the health-related quality of life for patients of pneumoconiosis combined with tuberculosis and its main influencing factors. Methods: This was a cross-sectional study, and 951 patients of pneumoconiosis combined with tuberculosis from the pneumoconiosis survey in 27 provinces and autonomous regions in China from December 2017 to December 2021 were selected for the study. The nonparametric Mann-Whitney test and the Kruskal-Wallis H test were used to compare the health utility values, and multiple linear regression was used for multifactor analysis. AMOS 24.0 was used to establish a structural equation modeling. Results: The mean age of 951 patients of pneumoconiosis combined with tuberculosis was (59.3±12.4) years. The main types were silicosis combined with tuberculosis (62.2%, 591/951) and coal-worker's pneumoconiosis combined with tuberculosis (34.9%, 332/951), and other type pneumoconiosis-combined tuberculosis was 2.9% (28/951). The proportion of patients with stage Ⅰ, Ⅱ, Ⅲ, and unstaged clinical diagnosis was 27.4% (261/951), 26.6% (253/951), 32.5% (309/951) and 13.5% (128/951), respectively. 63.3% (602/951) of study participants suffered from other chronic diseases, and the percentage of patients combined the number of chronic diseases with 1, 2, and more than 3 respectively were 24.1% (229/951), 16.3% (155/951) and 22.9% (218/951). The median and quartiles of health utility values and the mean±standard deviation of self-rating scores of patients of pneumoconiosis combined with tuberculosis were 0.562 (0.482, 0.766) and (53.7±18.4), respectively, which were lower than patients of pneumoconiosis without tuberculosis (Z=-11.29, P<0.001; t=8.97, P<0.01). The health utility values and self-rating scores for patients of pneumoconiosis combined with tuberculosis were significantly different between urban and rural areas (Z= -2.22, P=0.027; t=4.85, P<0.01). Pain/discomfort was the most frequently reported problem in the five-dimensional distribution of problems, followed by daily activities and anxiety/depression, and the difference in the percentage reported by anxiety/depression between urban and rural areas was significant (χ(2)=30.28, P<0.01). The results of multiple linear regression showed that the survey area, body mass index, education level, age, employment status, annual personal income, stage of pneumoconiosis, number of multi-morbidities, hemoptysis, acute exacerbation of symptoms in two-week, social support and minimum living standard were the main influences on the health utility values of the patients of pneumoconiosis combined with tuberculosis (P<0.05). The results of structural equation model showed that economic security and health status directly affected the health-related quality of life among patients of pneumoconiosis combined with tuberculosis and played a chain-mediating effect in the influence of socioeconomic status on the health-related quality of life among patients of pneumoconiosis combined with tuberculosis. Conclusion: Health-related quality of life was poorer in patients of pneumoconiosis with tuberculosis, with pain and discomfort and anxiety/depression problems being more pronounced, and economic status and health status played multiple mediating roles in the influence of general socio-demographic characteristics on quality of life in pneumoconiosis.

Employees' pro-environmental behavior in an organization: a case study in the UAE.

This study investigates the factors influencing employees' pro-environmental behavior (PEB) within organizations in the United Arab Emirates (UAE), a nation with a strong policy focus on sustainability. Utilizing a questionnaire-based survey of 146 employees in an automotive division of a UAE company and structural equation modeling (SEM), the research examines the impact of green entrepreneurial orientation, green leadership, environmental commitment, and Green Human Resource Management (GHRM) on employees' willingness to engage in eco-friendly practices at work. The findings reveal that GHRM and green leadership significantly influence employees' green entrepreneurial orientation, which in turn, alongside environmental commitment, positively impacts PEB. These results emphasize the importance of integrating sustainability into organizational culture, leadership, and human resource practices to foster a workforce that actively participates in environmental initiatives, thereby contributing to the development of sustainable communities and enhancing stakeholder engagement. The study provides valuable insights into the specific factors that drive PEB in the UAE context, where national policies prioritize sustainability, highlighting that the importance of implementing green practices and promoting a supportive environment encourages employees and stakeholders to embrace environmental sustainability. The research also sheds light on the role of green entrepreneurial orientation, suggesting that empowering employees to develop innovative environmental solutions can be a key driver of PEB. The SEM analysis also confirmed the positive impact of GHRM and green leadership on green entrepreneurial orientation. Additionally, green entrepreneurial orientation and environmental commitment were found to significantly influence PEB. These results have practical implications for organizations in the UAE and beyond, emphasizing that by integrating eco-friendly practices and fostering stakeholder engagement, organizations can enhance their environmental performance, strengthen their reputation, and attract environmentally conscious customers and employees, contributing to the development of sustainable communities.

Structural associations between self-perception of support and knowledge of disability characteristics of autism spectrum disorder among staff in facilities providing after-school day services.

BACKGROUND: We constructed a hypothetical model of the knowledge of autism spectrum disorder (ASD) and self-perception of support of staff working in after-school day services to clarify structural relationships. METHODS: A questionnaire survey was conducted at 194 facilities providing after-school day services in Fukushima Prefecture (October 2020), including a basic attributes questionnaire, the Literacy Scale of Characteristics of Autistic Spectrum Disorder (LS-ASD), and a staff questionnaire. We developed a hypothetical model of the relationship between self-perception and LS-ASD total scores of after-school service staff. To obtain latent variables for structural equation modeling (SEM) to confirm factor extraction and the interrelationships among variables, exploratory factor analysis was performed. SEM was used to examine the fit of the hypothetical model to the data and the relationships among variables. RESULTS: The study included 302 staff members from 58 of 194 facilities. Four factors (Factor 1, motivation; 2, self-perception of knowledge; 3, information sharing; 4, self-confidence) were extracted. The final model showed that Factor 2 had a positive direct effect (path coefficient = 0.64) and Factor 4 had a negative direct effect (path coefficient = -0.22) on LS-ASD scores. The model goodness of fit was acceptable (Goodness-of-Fit Index = 0.890; Comparative Fit Index = 0.912; Root Mean Square Error of Approximation = 0.086; Akaike's Information Criterion = 392.7). CONCLUSION: Self-perception of knowledge contributes greatly to knowledge acquisition, while excessive confidence may hinder knowledge retention.

Breaking down barriers: rationalisations and motivation to stop among Chinese male smokers under cigarette dependence.

BACKGROUND: Smoking rationalisation beliefs are a huge barrier to quitting smoking. What types of rationalisations should be emphasised in smoking cessation interventions? Although past literature has confirmed the negative relationship between those beliefs and motivation to stop smoking, little is known regarding the importance and performance of those beliefs on motivation with varying cigarette dependence. The study aimed to ascertain rationalisations that are highly important for motivation yet perform poorly in different cigarette dependence groups. METHODS: The cross-sectional study was conducted from November 19 to December 9, 2023 in Guiyang City, China. Adult male current smokers were enrolled. Partial least squares structural equation modelling was used to test the hypothesis. The multi-group analysis was used to determine the moderating effect of cigarette dependence, and the importance-performance map analysis was utilised to assess the importance and performance of rationalisations. RESULTS: A total of 616 adult male current smokers were analysed, and they were divided into the low cigarette dependence group (n = 297) and the high cigarette dependence group (n = 319). Except for risk generalisation beliefs, smoking functional beliefs (H1: -ß = 0.131, P < 0.01), social acceptability beliefs (H3: ß = -0.258, P < 0.001), safe smoking beliefs (H4: ß = -0.078, P < 0.05), self-exempting beliefs (H5: ß = -0.244, P < 0.001), and quitting is harmful beliefs (H6: ß = -0.148, P < 0.01) all had a significant positive influence on motivation. Cigarette dependence moderated the correlation between rationalisations and motivation. In the high-dependence group, the social acceptability beliefs and smoking functional beliefs were located in the "Concentrate Here" area. In the low-dependence group, the social acceptability beliefs were also situated in there. CONCLUSIONS: Social acceptability beliefs and smoking functional beliefs showed great potential and value for improvement among high-dependence smokers, while only social acceptability beliefs had great potential and value for improvement among low-dependence smokers. Addressing these beliefs will be helpful for smoking cessation. The multi-group analysis and the importance-performance map analysis technique have practical implications and can be expanded to other domains of health education and intervention practice.

Higher-Order Least Squares: Assessing Partial Goodness of Fit of Linear Causal Models.

We introduce a simple diagnostic test for assessing the overall or partial goodness of fit of a linear causal model with errors being independent of the covariates. In particular, we consider situations where hidden confounding is potentially present. We develop a method and discuss its capability to distinguish between covariates that are confounded with the response by latent variables and those that are not. Thus, we provide a test and methodology for partial goodness of fit. The test is based on comparing a novel higher-order least squares principle with ordinary least squares. In spite of its simplicity, the proposed method is extremely general and is also proven to be valid for high-dimensional settings. Supplementary materials for this article are available online.

Loss of Sunda clouded leopards and forest integrity drive potential impacts of mesopredator release on vulnerable avifauna.

Amongst the unintended consequences of anthropogenic landscape conversion is declining apex predator abundance linked to loss of forest integrity, which can potentially re-order trophic networks. One such re-ordering, known as mesopredator release, occurs when medium-sized predators, also called mesopredators, rapidly increase in abundance following the decline in apex predator abundance, consequently reducing the abundance of mesopredator prey, notably including terrestrial avifauna. We examine the cascading impacts of declining Sunda clouded leopard abundance, itself consequent upon a reduction in forest integrity, on the mesopredator community of Sabah, Malaysia, to determine whether the phenomenon of mesopredator release is manifest and specifically whether it impacts the terrestrial avifauna community of pheasants and pittas. To explore this trophic interaction, we used a piecewise structural equation model to compare changes in the relative abundance of organisms. Our results suggest that loss of forest integrity may have broad impacts on the community and trigger mesopredator release, the two acting additively in their impact on already vulnerable species of terrestrial avifauna: a result not previously documented in tropical systems and rarely detected even on a global scale. The limiting effect that the Sunda clouded leopard has on the Sunda leopard cat could illuminate the mechanism whereby mesopredator release impacts this system. Both Bulwer's pheasant and pittas appear to be significantly impacted by the increase in Sunda leopard cats, while the great argus pheasant shows similar compelling, although not statistically significant, declines as Sunda leopard cats increase. The inverse relationship between Sunda clouded leopards and Sunda leopard cats suggests that if a mesopredator release exists it could have downstream consequences for some terrestrial avifauna. These results suggest the under-studied interface between mammalian carnivores and avifauna, or more broadly species interactions in general, could offer important conservation tool for holistic ecosystem conservation efforts.

Psychometric property and measurement invariance of perceived benefits and barriers of physical activity in Chinese adolescents.

Background: The perceived benefits and barriers to physical activity play crucial roles in determining daily physical activity levels. However, previous studies have employed tools lacking adequate validation, leading to inconsistent conclusions about the impact of these two factors. Therefore, this national, population-based study was conducted to assess the psychometric properties, measurement invariance, and predictive validity of the Chinese versions of the perceived benefits (C-PBEPA) and barriers to physical activity (C-PBAPA) scales. Methods: The final sample (N = 2942, 49.3 % for boys) was randomly split into two subsamples. The first subsample was used for exploratory factor analysis and the second subsample was used for confirmatory factor analysis. Measurement invariance across gender and age groups were examined. Structural equation models were developed to examine the predictive validity of the revised C-PBEPA and C-PBAPA on moderate to vigorous PA. Results: The results showed that both scales were unidimensional, had excellent model fit (e.g., X 2/df < 3, CFI >0.9, RMSEA <0.06) and demonstrated convergent validity. Findings also revealed lack of scalar invariance for C-PBAPA between preadolescents and adolescents' groups (ΔCFI >0.01) and supported the predictive validity of both scales (p < 0.001). Conclusion: The study demonstrated that the revised C-PBEPA and C-PBAPA are valid scales for measuring Chinese adolescents' perceived benefits and barriers to PA.

Continuance intention and digital health resources from the perspective of elaboration likelihood model and DART model: a structural equation modeling analysis.

Background: Internet hospitals, online health communities, and other digital health APPs have brought many changes to people's lives. However, digital health resources are experiencing low continuance intention due to many factors, including information security, service quality, and personal characteristics of users. Methods: We used cross-sectional surveys and structural equation modeling analysis to explore factors influencing user willingness to continue using digital health resources. Results: Information quality (ß = 0.31, p < 0.05), service quality (ß = 0.19, p < 0.05), platform reputation (ß = 0.34, p < 0.05), and emotional support (ß = 0.23, p < 0.05) have significant positive effects on user value co-creation behavior. Additionally, user trust and perceived usefulness could mediate the association between user value co-creation behavior and continuance intention, with mediation effects of 0.143 and 0.125, respectively. User involvement can positively moderate the association between user value co-creation behavior and user trust (ß = 0.151, t = 2.480, p < 0.001). Also, user involvement can positively moderate the association between value co-creation behavior and perceived usefulness (ß = 0.103, t = 3.377, p < 0.001). Conclusion: The keys to solving the problem of low continuance intention are improving the quality and service level of digital health resources, and promoting users' value co-creation behavior. Meanwhile, enterprises should build a good reputation, create a positive communication atmosphere in the community, and enhance user participation and sense of belonging.

Post-stroke family resilience is correlated with family functioning among stroke survivors: The mediating role of patient's coping and self-efficacy.

AIM: Family resilience and healthy family functioning are crucial for stroke survivors' rehabilitation. This study aimed to determine the mediating effects of self-efficacy and confrontation coping on the relationship between family resilience and functioning among patients with first-episode stroke. DESIGN: A cross-sectional design was applied. METHODS: 288 patients with first-episode stroke were recruited from 7 hospitals in Shangqiu and Shanghai, China, from July 2020 to October 2020. A shortened Chinese version of the Family Resilience Assessment Scale, family adaptation, partnership, growth, affection and resolve questionnaire, Medical Coping Modes Questionnaire, and Self-efficacy for Chronic Disease 6-item Scale were used to collect the self-reported data. The relationships among the studied variables were studied using spearman correlation and structural equation model. RESULTS: The average level of family functioning among stroke patients was 7.87 (SD = 2.32). About 26.8% (n = 76) of patients reported family dysfunction. The structural equation model showed that family resilience directly affected patients' satisfaction with family functioning (r = 0.406, p < 0.001) and indirectly affected the mediating role of patients' self-efficacy and confrontation coping style (r = 0.119, p < 0.001). The model was with good fit (χ2/df = 2.128, RMSEA = 0.065, GFI = 0.956, AGFI = 0.919, NFI = 0.949, and TLI = 0.956). CONCLUSION: Family resilience and functioning among patients with first-episode stroke are positively associated with the mediating effects of the patients' confrontation coping style and self-efficacy between family resilience and functioning. The findings indicate that the professionals should pay special attention to families exhibiting poor family resilience or with patients who rarely use confrontation coping styles or with poor self-efficacy since they are more likely to suffer from low functioning.

Vaccination intentions of hypertensive Chinese individuals during the COVID-19 epidemic: a structural equation modeling study.

OBJECTIVE: Given the high prevalence of hypertension among Chinese adults, this population is at a significantly increased risk of severe COVID-19 complications. The purpose of this study is to assess the willingness of Chinese hypertensive adults to receive the COVID-19 vaccine and to identify the diverse factors that shape their vaccination decisions. METHODS: Sampling was conducted utilizing multistage stratified random sampling, and ultimately, a total of 886 adult hypertensive patients from Luzhou City in Southwest China were included in this study. The questionnaire design was based on the Theory of Planned Behaviour and was used to investigate their willingness to be vaccinated with COVID-19. Structural equation modeling was employed for data analysis. RESULTS: The results showed that 75.6% of hypertensive individuals were willing to receive COVID-19 vaccination. The structural equation modeling revealed that Subjective Norms (path coefficient = 0.361, CR = 8.049, P < 0.001) and Attitudes (path coefficient = 0.253, CR = 4.447, P < 0.001) had positive effects on vaccination willingness, while Perceived Behavioral Control (path coefficient=-0.004, CR=-0.127, P = 0.899) had no significant impact on Behavioral Attitudes. Mediation analysis indicated that Knowledge (indirect path coefficient = 0.032, LLCI = 0.014, ULCI = 0.058), Risk Perception (indirect path coefficient = 0.077, LLCI = 0.038, ULCI = 0.124), and Subjective Norms (indirect path coefficient = 0.044, LLCI = 0.019, ULCI = 0.087) significantly influenced vaccination willingness through Attitudes as a mediating factor. CONCLUSION: The willingness of hypertensive individuals to receive the COVID-19 vaccination is not satisfactory. The Theory of Planned Behavior provides valuable insights into understanding their vaccination intentions. Efforts should be concentrated on enhancing the subjective norms, attitudes, and knowledge about vaccination of hypertensive patients.

Medical ethics in childbirth: a structural equation modeling approach in south of Iran.

BACKGROUND: The existence of a valid instrument to evaluate the attitude of mothers towards compliance with medical ethics during childbirth can lead to appropriate interventions to create a positive attitude. The purpose of this study is to determine the construct validity of the MEAVDQ (Medical Ethics Attitude in Vaginal Delivery Questionnaire). METHODS: The study was carried out with 350 women. The main research instrument was MEAVDQ. This 59-item questionnaire comprises three parts A, B, J. Part A is concerned with the first principles. Part B deals with the second and third principles and part J addresses the fourth principle of medical ethics. Structural Equations Modeling (SEM) was used to determine the construct validity of MEAVDQ. RESULTS: The results of SEM revealed that there was a positive correlation between structures A and B. The relationship between structures B and J was also positive and significant. On the other hand, there was a direct and indirect relationship between structures A and J. One-unit increase in structure A led to 0.16 (95% CI: 0.01, 0.33) direct increase in structure J. Also, one-unit increase score increases in structure A caused 0.39 indirect rise (95% CI: 0.26, 0.53) in structure J with the mediating role of the structure B. CONCLUSIONS: It can be suggested to midwifery policy maker and midwives that respect for the first principle of medical ethics and autonomy is the most important principle of medical ethics in childbirth. By respecting the autonomy of mothers, a positive birth experience can be created for them.