Objectives: This study aims to investigate the mediating effects of positive psychological capital (both as compound PsyCap and separate resources) in the relationship between social support and the two components of HRQoL: physical and mental health. Method: We conducted the current cross-sectional study on a sample of 319 participants (114 male; 205 female) aged 65 to 90. Results: The results indicated significant positive associations between social support, PsyCap, physical health and mental health. Compound PsyCap fully mediated the relationship between perceived social support and physical/mental health. Hope and optimism positively predicted physical health, while the same PsyCap resources, along with self-efficacy positively predicted mental health. Discussion: The retirees that perceived increased social support presented higher levels of PsyCap, which in turn increased their physical and mental health. Our results highlighted some new explanatory mechanisms regarding the relationships between variables that affect health-related quality of life among older adults.

Combativeness is a social illness. We are surrounded by culture wars over abortion, vaccine mandates, transgender care, how we die, and even how we define death. The problem is not that we disagree, but how we disagree: too often, with anger, aggression, and a sense of urgency to win against the other. Bioethicists have the knowledge and skills needed to model constructive disagreement and respectful calls for change. Bioethicists may have increased awareness that everyone suffers from unconscious self-serving biases-we are all imperfect. They are trained to recognize competing values and to engage in processes of balancing values in social contexts. Clinical ethicists are additionally trained in mediation, which involves acknowledging goodwill, listening deeply, apologizing when needed, and seeking common ground. In short, bioethicists have many of the tools needed to be healers of a culture afflicted with combativeness.

UNASSIGNED: Technology has completely transformed healthcare, starting with X-ray machines and MRIs to telehealth and robotic surgeries to e-health records. The launch of minimally invasive surgery (MIS) serves as a milestone in medical history, offering benefits such as smaller incisions, shorter hospital stays, and faster recovery, making it a preferred surgical option. This study mainly explores patients\' willingness to adopt robot-assisted surgery (RAS) technology in a surgical intervention and is assessed in the backdrop of the Technology Acceptance Model (TAM).
UNASSIGNED: This research project employs a post-positivist research philosophy and a cross-sectional research design. A structured, pre-tested questionnaire was used to collect data from 280 respondents.
UNASSIGNED: The results revealed that trust had a significant impact on Perceived Usefulness (β = 0.099) and Perceived Ease of Use (β = .157), and eHealth literacy had a significant impact on Perceived Ease of Use (β = 0.438) and Perceived Usefulness (β = 0.454). Additionally, Perceived Usefulness partially influenced behavioral intention (β = 0.123), and attitude had a significant influence on behavioral intention (β = 0.612). The analysis revealed an insignificant impact of eHealth literacy on Perceived Usefulness (β = 0.067). The Standard Root Mean Square Residual (SRMR) value was <0.8. Mediation analysis also revealed partial mediation between the constructs. The SRMR rating of this model is 0.067, indicating that it fits the data well.
UNASSIGNED: This study revealed that a patient\'s intention will be high if he or she believes that RAS is beneficial in treating his or her ailment. In comparison, information related to RAS is clearly known, and it does not directly affect selection intention. eHealth literacy is a significant antecedent to patients\' behavioral intention. Hence, the healthcare industry must devise strategies to promote the acceptance of RAS at all levels.

UNASSIGNED: Sleep complaints were reported to be associated with stroke, however, the evidence on the association between healthy sleep pattern and stroke risk in Chinese is limited.
UNASSIGNED: The aim of this study was to investigate the association between healthy sleep pattern and stroke in Chinese, and the influence of metabolic diseases on the association.
UNASSIGNED: A total of 11,851 participants from the Kailuan study in China without stroke at baseline were included. We calculated a healthy sleep score according to four sleep factors, and defined the low-risk groups as follows: no insomnia, no excessive daytime sleepiness, no frequent snoring, and sleep 7-8h/d. Each low-risk sleep factor was assigned a score of 1. Cox proportional hazard models were used to assess the association between healthy sleep score and stroke. Mediation analysis was used to estimate the role of metabolic diseases (obesity, diabetes, and hypertension) in the healthy sleep score-stroke association.
UNASSIGNED: During a mean follow-up period of 7.7 years, 504 cases of stroke were identified. A higher healthy sleep score was associated with a lower risk of stroke in a dose-response manner (P-trend=0.03). The adjusted hazard ratio (HR) for participants with a healthy sleep score of 4 versus ≤2 was 0.75 (95% confidence interval [CI]: 0.56, 0.96). In addition, obesity, diabetes, and hypertension collectively explained 21.9% (95% CI: 17.2, 26.5) of the association between healthy sleep score and stroke.
UNASSIGNED: Adherence to healthy sleep pattern was associated with a lower risk of stroke, and the favorable association was partially mediated by metabolic diseases.

The purpose of many preclinical studies is to determine whether an experimental intervention affects an outcome through a particular mechanism, but the analytical methods and inferential logic typically used cannot answer this question, leading to erroneous conclusions about causal relationships, which can be highly reproducible. A causal mediation analysis can directly test whether a hypothesised mechanism is partly or completely responsible for a treatment\'s effect on an outcome. Such an analysis can be easily implemented with modern statistical software. We show how a mediation analysis can distinguish between three different causal relationships that are indistinguishable when using a standard analysis.

Evidence linking greenness to all-site and site-specific cancers remains limited, and the complex role of air pollution in this pathway is unclear. We aimed to fill these gaps by using a large cohort in southern China. A total of 654,115 individuals were recruited from 2009 to 2015 and followed-up until December 2020. We calculated the normalized difference vegetation index (NDVI) in a 500-meter buffer around the participants\' residences to represent the greenness exposure. Cox proportional-hazards models were used to evaluate the impact of greenness on the risk of all-site and site-specific cancer mortality. Additionally, we assessed both the mediation and interaction roles of air pollution (i.e., PM2.5, PM10, and NO2) in the greenness-cancer association through a causal mediation analysis using a four-way decomposition method. Among the 577,643 participants, 10,088 cancer deaths were recorded. We found a 10% (95% CI: 5-16%) reduction in all-site cancer mortality when the NDVI increased from the lowest to the highest quartile. When stratified by cancer type, our estimates suggested 18% (95% CI: 8-27%) and 51% (95% CI: 16-71%) reductions in mortality due to respiratory system cancer and brain and nervous system cancer, respectively. For the above protective effect, a large proportion could be explained by the mediation (all-site cancer: 1.0-27.7%; respiratory system cancer: 1.2-32.3%; brain and nervous system cancer: 3.6-109.1%) and negative interaction (all-site cancer: 2.1-25.7%; respiratory system cancer: 2.0-25.7%; brain and nervous system cancer: not significant) effects of air pollution. We found that particulate matter (i.e., PM2.5 and PM10) had a stronger causal mediation effect (25.0-109.1%) than NO2 (1.0-3.6%), while NO2 had a stronger interaction effect (25.7%) than particulate matter (2.0-2.8%). In summary, greenness was significantly beneficial in reducing the mortality of all-site, respiratory system, and brain and nervous system cancer in southern China, with the impact being modulated and mediated by air pollution.

BACKGROUND: Caring for stroke survivors can affect the caregiver\'s life, especially with the increment of patients\' dependency level. This led to depression, anxiety, and stress in the caregiver, impacting their quality of life (QoL). This study aims to model relationships between caregivers\' factors and stroke survivors\' factors with caregivers\' QoL and to estimate the mediation effects of caregivers\' depression, anxiety, and stress in the relationships between stroke survivors\' dependency level and caregivers\' QoL.  Methods: Data from a cross-sectional study with a sample size of 250 subjects was analyzed. Linear regression was done to model the relationship between stroke survivors\' factors and caregivers\' factors with caregivers\' QoL. Hayes\'s PROCESS macro model 4 for bootstrapping indirect effects was used to estimate the mediation effects of depression, anxiety, and stress in the relationship between stroke survivors\' dependency level and caregivers\' QoL.
RESULTS: Stroke survivors\' dependency levels that were measured by the Modified Barthel Index score (b=0.14; 95% CI: 0.07, 0.20), caregivers\' depression score (b=-0.81; 95% CI: -1.44, -0.20), and caregivers\' anxiety score (b=-0.73; 95% CI: -1.34, -0.12) were found to be associated with caregivers\' QoL. Caregivers\' depression score (effect=0.02; 95% CI for bootstrapping: 0.01, 0.04) and caregivers\' anxiety score (effect=0.01; 95% CI for bootstrapping: 0.01, 0.04) were found as partial mediators in the relationship between stroke survivors\' dependency level and caregivers\' QoL.
CONCLUSIONS:  Stroke survivors\' dependency level and caregivers\' depression and anxiety significantly impact caregivers\' QoL, with the latter factors partially mediating this relationship. Interventions such as providing caregivers with psychological support, stress management programs, and training in caregiving skills could help mitigate these impacts and improve caregivers\' QoL.

Introduction: Gallstones are one of the most common digestive diseases globally, with an estimated affected population of 15% in the United States. Our aim is to assess the current association between oral health and gallstones, exploring potential mediation factors. Methods: Self-reported gallstones were determined based on medical condition questionnaires. Dental status was assessed by dental professionals and oral health questionnaire. Mediation analysis was conducted for body mass index, blood glucose, triglycerides, and cholesterol, and the percentage of mediation effects was calculated. Results: We included 444 patients with gallstones and 3565 non-gallstone participants from National Health and Nutrition Examination Survey. After fully adjusting for all covariates, the prevalence of gallstones is higher when the number of missing teeth is at T3 compared to T1 (odds ratio [OR]: 1.93, confidence interval [CI]: 1.14 - 3.26, p = 0.02, p-trend = 0.01), and there was an inverted L-shaped association between missing teeth and gallstones, with an inflection point of 17. Bone loss around mouth was also associated with gallstones (OR: 1.78, 95% CI: 1.27 - 2.48, p = 0.002), but not root caries and gum disease. Mediation analysis identified blood glucose as a crucial mediator, with a mediation effect ratio of 4.91%. Conclusions: Appropriate lifestyle interventions for patients with missing teeth may help delay the onset of gallstones, such as healthy dietary habits, trace elements supplementing, and managing weight and blood sugar levels. Further exploration of the relationship between oral health and overall health contributes to disease prevention and comprehensive medical management.

BACKGROUND: Existing evidence suggests that children and adolescents who had experienced childhood maltreatment (CM) are at higher suicidal risk. However, the mediation role of resilience in this association remains unclear. We aim to investigate the mediation via resilience in the associations between CM and three suicidal risk indicators (suicidal ideation, SI; suicidal plan, SP; suicidal attempt, SA) among a large sample of Chinese children and adolescents.
METHODS: A population-based cross-sectional survey was conducted in southwestern China Yunnan province. A total of 9723 children and adolescents were included and analyzed by using a multi-stage stratified cluster sampling design. Univariate and multivariate logistic regression models were fitted to explore the associations between CM, resilience, and the three suicidal risk indicators, dose-response trends further elucidated by using the restricted cubic splines. Path models were adopted to estimate the mediation of resilience.
RESULTS: The estimated prevalence rates for one-year SI, SP and SA were 32.86% (95% CI: 31.93-33.80%), 19.36% (95% CI: 18.57-20.16%) and 9.07% (95% CI: 8.51-9.66%). After adjustment, CM significantly associated with all 3 suicidal risk indicators, and the odds ratios (ORs) were 2.13 (95% CI: 1.91-2.37), 2.45 (95% CI: 2.13-2.81), and 3.61 (95% CI: 2.90-4.52) for one-year SI, SP, and SA, respectively. Path models revealed that resilience significantly mediated the associations between CM and the three suicidal risk indicators, and among all dimensions of resilience, family support presented the strongest mediation consistently.
CONCLUSIONS: Our study results suggest that intervention measures which focusing on improving psychological resilience might be effective in reducing suicidal risk for children and adolescents who had experienced maltreatment. Prospective studies should be done to corroborate our findings.

Smartphone distraction (SD) is closely related to depression, and the prevalence of SD among nursing students is gradually increasing. However, the potential mechanism of the effect of SD on nursing students\' depression is unclear. A total of 574 nursing students were assessed using Smartphone Distraction Scale, Ruminative Response Scale, Hikikomori Questionnaire, and Patient Health Questionnaire-9. The results indicated that SD among nursing students had an impact on depression through four pathways: (1) SD was positively associated with depression (β = 0.353, P < 0.001); (2) Rumination (β = 0.199, 95% CI: 0.081 to 0.162) and social withdrawal (β = 0.061, 95% CI: 0.034 to 0.091) mediated the effects of SD on depression, respectively; and (3) Rumination and social withdrawal played a chain mediating role in the effect of SD on nursing students\' depression (β = 0.027, 95% CI: 0.015 to 0.042). The negative impact of SD on nursing students\' mental health should not be taken lightly. Schools and hospitals should guide nursing students to use smartphones correctly, including providing mental health education and professional psychological counselling; families could play a supervisory role and communicate regularly to understand the psychological state and learning of nursing students. These measures can help nursing students cope with stress and reduce the risk of depression.