Dual-factor Model Research Articles

Relationships between resilience, perceived social support, and mental health in military personnel: a cross-lagged analysis

BackgroundDespite the growing application of the Dual-factor model of mental health (DFM), there is a paucity of research on military personnel. Additionally, existing cross-sectional studies indicate that resilience and perceived social support are associated with military mental health, but the lack of cross-lagged studies precludes researchers from making causal interpretations. This study aimed to explore the longitudinal relationship between resilience, perceived social support, negative dimension of mental health (depressive symptom), and positive dimension (life satisfaction) among military personnel using cross-lagged analysis.MethodsA total of 215 military personnel were investigated longitudinally over a 12-week, two-phase period. The Connor-Davidson Resilience Scale (CD-RISC), Perceived Social Support Scale (PSSS), Patients’ Health Questionnaire Depression Scale-9 Item (PHQ-9), and Satisfaction with Life Scale (SWLS) were employed to measure their resilience, perceived social support, depression symptoms, and life satisfaction, respectively. Pearson correlation analysis was used to examine the correlations between the aforementioned variables, and a paired t-test was employed to ascertain whether the variables changed over time. A cross-lagged panel analysis was employed to explore cross-lagged relationships between these variables in military personnel.ResultsAll participants in this study were male. At Time 1, the mean age of all participants was 22.98 years (SD = 2.99), and the mean scores for the CD-RISC, PSSS, PHQ-9, and SWLS were 71.61 (SD = 14.86), 68.60 (SD = 10.22), 1.74 (SD = 2.89), and 28.08 (SD = 5.51), respectively. Cross-lagged analysis showed that prior resilience significantly predicted later depression symptoms (β = -0.19, p = 0.028) and life satisfaction (β = 0.17, p = 0.038). Prior perceived social support significantly predicted later life satisfaction (β = 0.15, p = 0.040) but not depression symptoms (β = -0.04, p = 0.652). Prior depression symptoms significantly predicted later life satisfaction (β = -0.26, p < 0.001), and prior life satisfaction also predicted later depression symptoms (β = -0.23, p = 0.002).ConclusionsThe negative and positive dimensions of military mental health can interact with each other. Moreover, enhancing resilience and perceived social support may be a novel perspective for improving the mental health of military personnel.

A Dual-Factor Examination of Adolescent Mental Health and School Engagement

AbstractPrevious research has indicated that student mental health is linked to their engagement at school. However, there is a lack of empirical studies examining students’ school engagement from the more comprehensive dual-factor model, which assesses both psychopathology and subjective well-being [SWB]. The current study examined this relationship via an adolescent sample of 611 students in the U.S. Midwest. Results indicated that students with higher levels of engagement experienced lower levels of internalizing or externalizing difficulties, as well as higher levels of SWB. Additionally, linear regressions revealed that as students reported higher school connectedness and academic efficacy, they also reported higher behavioral, cognitive, and emotional engagement. Internalizing difficulties predicted higher behavioral and cognitive engagement, and personal adjustment predicted lower behavioral and cognitive engagement. Internalizing and externalizing difficulties were not significantly associated with emotional engagement. Overall, results indicate that students’ mental health factors are closely tied to their engagement at school. These findings can be used to support targeted interventions on well-being and psychopathology, which may increase school engagement and overall student happiness.

The Impact of Technological Progress on the Gender Wage Gap

Technological advancements not only enhance the income levels of workers but also modify the gender wage disparity. Utilizing the "task-based model" and the "brain-muscle dual-factor model," this analysis investigates the implications of technological advancements on the gender gap, employing micro-econometric methods to examine variables associated with wage and income performance differentials attributable to gender. Through the efficient allocation of resources, technological progress has reduced the relative cost of manual labor while elevating the worth of cognitive labor, thereby transforming the traditional labor market that has been predominantly manual labor-oriented. In this context, women, leveraging their strengths in communication, coordination, and focus, demonstrate a greater adaptability to the demands of cognitive work, resulting in enhanced competitiveness within the labor market. By aligning the regional level of technological advancement (specifically at the prefecture-level city) with the mixed micro-individual cross-sectional data from the CFPS database for the years 2018 and 2020, the findings reveal several key insights: a notable wage disparity persists between male and female workers throughout the sample period; the impact of technological progress significantly boosts wage growth among laborers, particularly benefiting female workers, which suggests a reduction in the gender wage gap; female laborers in rural areas experience more pronounced positive incentives regarding wage income compared to their urban counterparts; and, in geographical comparisons, women in the central region receive more substantial positive incentives in wage income relative to those in the eastern and western regions. Consequently, it is imperative for each region to expedite technological advancement, refine the employment structure for women, and foster technological progress to mitigate the gender wage gap.

Promoting mental health in higher education: towards a model of well-being factors in emerging adulthood

ABSTRACT Purpose This study aims to contribute to the development of a theoretical model that is useful for enhancing well-being/positive mental health with pedagogical resources that enable the acquisition of skills and knowledge, particularly during Emerging Adulthood. Methods This paper enquires into the role of well-being promotion in higher education following the dual-factor model of mental health difficulties and wellbeing. The study narratively reviews the main well-being models and presents a compared theoretical synthesis examining the dimensions that promote or facilitate the presence of well-being using a promotion approach. Results The study identifies 14 dimensions involved in wellbeing—emotional, psychological and social factors—that can be potentially improved through learning processes. Drawing on empirical and theoretical studies on emerging adult population, a factorial model is proposed. Preliminary factor interactions are examined paying close attention to the cognitive processes that explain or affect their relationship with well-being, the possible correlations between them and particularities of emerging adults. Conclusion Wellbeing factors can be particularly targeted by educational promotion, as they can be developed through learning processes. An integrative model that provides a broad perspective can assist in pedagogical design and defining educational goals for these learning processes involved in wellbeing promotion.

Dual-factor model of sleep and diet: a new approach to understanding central fatigue.

Numerous studies have recently examined the impact of dietary factors such as high-fat diets on fatigue. Our study aims to investigate whether high-fat diet (HFD) alone or combined with alternate-day fasting (ADF) can lead to the central fatigue symptoms and to investigate the potential integration of dietary and sleep variables in the development of central fatigue models. Seventy-five male Wistar rats were divided into five groups: control, HFD, HFD + ADF, modified multiple platform method (MMPM), and MMPM+HFD + ADF. Each group underwent a 21-day modeling period according to their respective protocol. Their behavioral characteristics, fatigue biochemical markers, hippocampal pathological changes, mitochondrial ultrastructure, and oxidative stress damage were analyzed. Our findings demonstrate that using only HFD did not cause central fatigue, but combining it with ADF did. This combination led to reduced exercise endurance, decreased locomotor activity, impaired learning and memory abilities, along with alterations in serum levels of alanine aminotransferase (ALT), creatine kinase (CK), and lactate (LAC), as well as hippocampal pathological damage and other central fatigue symptoms. Moreover, the MMPM+HFD + ADF method led to the most obvious central fatigue symptoms in rats, including a variety of behavioral changes, alterations in fatigue-related biochemical metabolic markers, prominent pathological changes in hippocampal tissue, severe damage to the ultrastructure of mitochondria in hippocampal regions, changes in neurotransmitters, and evident oxidative stress damage. Additionally, it was observed that rats subjected to HFD + ADF, MMPM, and MMPM+HFD + ADF modeling method exhibited significant brain oxidative stress damage. We have demonstrated the promotive role of dietary factors in the development of central fatigue and have successfully established a more stable and clinically relevant animal model of central fatigue by integrating dietary and sleep factors.

Associations between mental health profiles and later school outcomes

The dual-factor model of mental health proposes that high wellbeing and low distress are necessary to define mental health. This study used latent profile analysis to identify mental health profiles in a sample of 3,587 Australian grade 6 students and explored the association between mental health profiles and school outcomes measured in grades 7 and 9. Six mental health profiles were identified: complete mental health (i.e. high wellbeing and low distress; 30%), moderately mentally healthy (i.e. average wellbeing and low distress; 18%), symptomatic but content (i.e. high wellbeing and above-average distress; 19%), vulnerable (i.e. low wellbeing and below-average distress; 6%), moderately troubled (i.e. below-average wellbeing and high distress; 19%), and troubled (i.e. low wellbeing and high distress; 8%). After statistical adjustment for potential confounders (gender, language background, socio-economic status, and geographical remoteness), students with complete mental health showed significantly higher academic achievement and school engagement one and three years later compared with students with all other mental health profiles. Students with vulnerable and troubled profiles experienced the poorest school outcomes sustained over time (grade 7 and grade 9). Implications for school-based interventions to support the mental health and wellbeing of students are discussed.

Mental health status of Chinese residents and its associated factors in the aftermath of the COVID-19 pandemic: A cross-sectional study

BackgroundDuring the COVID-19 pandemic, numerous studies focused on mental health, but few considered both positive and negative aspects within the dual-factor model of psychological well-being. In China, a highly populous country, limited evidence exists regarding mental health and its associated factors following the surge and decline of COVID-19 cases after the loosening of COVID-19 control measures. This study aims to investigate the mental health status of Chinese residents in the aftermath of the pandemic and factors influencing positive and negative indicators using the System-Based Model of Stress. MethodsA cross-sectional online survey of 1,026 participants was conducted in China from March 2–31, 2023, using quota sampling. Structural equation modeling (SEM) was performed to test the conceptual model, where social support, perceived susceptibility, perceived severity, pandemic-related events, coping style, and concern about COVID-19 were considered as predictors, and psychological distress and subjective well-being as outcomes. ResultsThe results revealed high prevalence rates of psychological distress (23 %) with either of anxiety (15 %) or depression (20 %), and poor subjective well-being (23 %) among Chinese residents after the COVID-19 pandemic. Social support was negatively correlated with psychological distress, and negative coping style, pandemic-related events, and concern about COVID-19 were positively correlated with psychological distress. Moreover, social support was positively correlated with subjective well-being, and negative coping style and pandemic-related events were negatively correlated with subjective well-being. ConclusionsThese findings enhance our understanding of the differing correlates of positive and negative mental health, suggesting targeted psychological interventions for post-pandemic and future public health events.

Mental health profiles of 15-year-old adolescents in the Nordic Countries from 2002 to 2022: person-oriented analyses

BackgroundStudies of time trends in Nordic adolescents' mental health have often relied on analyses of adolescents’ psychosomatic symptoms. In this study, we examine adolescents' self-reports on mental health in the context of the dual factor model, which encompasses both overt manifestations of mental health symptoms and subjective perception of one's health status.MethodThe objective of this study was to employ a person-oriented approach utilizing cluster analysis to discern time trends in mental health profiles of Nordic adolescents, using their psychosomatic complaints and their perception of their overall health as cluster variables. The resulting health profiles were then subjected to a comparative analysis with regard to different measures of psychological and social adjustment. The mental health profiles were based on data from the Health Behaviour in School-aged Children (HBSC) survey, which was conducted among almost 50000 15-year-olds in five Nordic countries (Denmark, Finland, Iceland, Norway, and Sweden) between 2002 and 2022.ResultsMental health profiles exhibiting comparable content were observed in all Nordic countries, including profiles indicating adequate health, perceived good health, perceived poor health, high psychosomatic complaints, and dual health problems (defined as both high psychosomatic complaints and perceived poor health). These health profiles showed similar trends over time in the Nordic countries. Significant gender differences were observed. In 2002, adequate health was the dominant profile for both sexes. After 20 years, however, the high psychosomatic profile became the most common profile among girls. Among the three risk profiles, namely perceived poor health, high psychosomatic complaints and dual health problems, adolescents in the dual problems profile had the most psychological and social adjustment problems.ConclusionsThe comparatively lower incidence of adjustment problems among adolescents in the high psychosomatic profile relative to the dual mental health group challenges the prevailing view that there has been a sharp increase in mental health problems among Nordic adolescents. This view was largely based on the observed rise in psychosomatic symptoms. Indeed, there was a doubling in the proportion of adolescents in the high psychosomatic complaints profile between 2002 and 2022. This increase was considerably more pronounced than that observed for the dual health problems profile which exhibited most problems.

Initial Investigations into Physician Acceptance of Medical AI: Examining Trust, Resistance, Perceived Job Insecurity, and Usage Intentions.

This study evaluated physicians' attitudes towards medical AI across three Taiwanese hospitals, focusing on constructs of trust, resistance, job insecurity, and adoption willingness, with a survey based on the Dual-factor Model yielding 282 responses and a 94% response rate. Results showed positive trust in AI, low resistance and job insecurity concerns, and a high willingness to adopt AI, indicating a favorable view of AI as a supportive tool rather than a replacement. Key adoption factors were identified as regulatory standards, accuracy, workflow integration, and result clarity, providing valuable insights for future AI development in medicine.

Mental health and meaning in life in Chinese military personnel: a cross-lagged analysis

BackgroundThe burgeoning field of research on the dual-factor model of mental health (DFM) has highlighted its significance, yet the applicability of the DFM in military personnel and its longitudinal relationships with different dimensions of meaning in life remains unclear. This study aimed to clarify the applicability of the DFM for military personnel and to investigate longitudinal relationships between the dual factors of mental health (negative factor, positive factor) and the two dimensions of meaning in life (presence of meaning, search for meaning) in military personnel.MethodsIn this study, data were collected in two waves (April and August 2023) from 227 Chinese military personnel. We constructed a dual-factor model with depression as the negative factor and subjective well-being as the positive factor, and we compared it with a single-factor model to determine if DFM could be applied to military personnel. We also constructed a cross-lagged model to investigate longitudinal relationships between depression, subjective well-being, presence of meaning, and search for meaning.ResultsAccording to the findings, military personnel fit better with the DFM than with the single-factor model. Cross-lagged analysis results revealed that both the presence of meaning and the search for meaning negatively predicted depression and positively predicted subjective well-being.ConclusionsThe DFM had good applicability among military personnel. Both the presence of meaning and the search for meaning could improve military mental health, suggesting that both dimensions of meaning in life may be potential targets for improving military mental health.

The Response of Soil Respiration to Temperature and Humidity in the Thermokarst Depression Zone of the Headwater Wetlands of Qinghai Lake.

As the climate warms, the thickening of the active layer of permafrost has led to permafrost melting and surface collapse, forming thermokarst landforms. These changes significantly impact regional vegetation, soil physicochemical properties, and hydrological processes, thereby exacerbating regional carbon cycling. This study analyzed the relationship between soil respiration rate (Rs), soil temperature (T), and volumetric water content (VWC) in the thermokarst depression zone of the headwater wetlands of Qinghai Lake, revealing their influence on these soil parameters. Results showed a significant positive correlation between soil temperature and Rs (p < 0.001), and a significant negative correlation between VWC and Rs (p < 0.001). The inhibitory effect of VWC on Rs in the thermokarst depression zone was stronger than under natural conditions (p < 0.05). Single-factor models indicated that the temperature-driven model had higher explanatory power for Rs variation in both the thermokarst depression zone (R2 = 0.509) and under natural conditions (R2 = 0.414), while the humidity-driven model had lower explanatory power. Dual-factor models further improved explanatory power, slightly more so in the thermokarst depression zone. This indicates that temperature and humidity jointly drive Rs. Additionally, during the daytime, temperature had a more significant impact on Rs under natural conditions, while increased VWC inhibited Rs. At night, the positive correlation between Rs and temperature in the thermokarst depression zone increased significantly. The temperature sensitivity (Q10) values of Rs were 3.32 and 1.80 for the thermokarst depression zone and natural conditions, respectively, indicating higher sensitivity to temperature changes at night in the thermokarst depression zone. This study highlights the complexity of soil respiration responses to temperature and humidity in the thermokarst depression zone of Qinghai Lake's headwater wetlands, contributing to understanding carbon cycling in wetland ecosystems and predicting wetland carbon emissions under climate change.

Further examination of the dual-factor model: characteristics of emerging adults with non-traditional mental health profiles

Traditionally, the mental health field has focused on psychological symptoms and distress, and health is considered the absence of illness. An alternative view suggests that optimal mental health must include the presence of positive characteristics in addition to the absence of illness. Accordingly, a dual-factor model of mental health includes measures of both psychopathology and positive subjective well-being to determine an individual’s mental health status. The current study investigated this dual-factor model by examining whether subjective well-being and psychopathology combine to produce distinct mental health profiles in emerging adults. A sample of 559 university students completed self-report surveys indicating their life satisfaction and internalizing and externalizing symptoms. Cluster analysis yielded four unique mental health groups. The well-adjusted cluster included individuals with high life satisfaction and low internalizing and externalizing symptoms. The dissatisfied cluster consisted of individuals with low externalizing, but also low life satisfaction and slightly above-average levels of internalizing. The externalizing cluster had high life satisfaction but also high externalizing psychopathology, and the troubled cluster exhibited low life satisfaction and high levels of both psychopathology symptoms. The clusters also differed in their personality traits, coping responses, and automatic thoughts, with the most favorable pattern across all three dimensions exhibited by the well-adjusted cluster. These findings highlight the importance of considering positive indicators of mental health in addition to measures of psychopathology and support the use of an empirical classification procedure in determining the mental health status of emerging adults.

Dual-factor Models of Mental Health: A Systematic Review of Empirical Evidence.

Objective: Dual-factor models of mental health propose that mental health includes two interrelated yet distinct dimensions - psychopathology and well-being. However, there is no systematization of the evidence following these models. This review aims to address the following research question: what evidence exists using dual-factor models? Method: The current systematic review was conducted using PRISMA guidelines on the following databases: Web-of-science, Scopus, Academic Search Complete, APA PsycArticles, APA PsycInfo, Psychology and Behavioral Sciences Collection, ERIC, and MEDLINE. The screening process resulted in 85 manuscripts that tested the assumptions of dual-factor models. Results: Evidence revealed psychometric substantiation on the two-dimensionality of the dual-factor model, and 85% of the manuscripts provided evidence related to classifying participants into different mental health groups. Most studies showed that the Complete Mental Health or Positive Mental Health group is the most prevalent status group, and longitudinal evidence suggests that most participants (around 50%-64%) remain in the same group across time. Regarding the factors associated with mental health status groups, studies reviewed in this manuscript focus mainly on school-related outcomes, followed by supportive relationships, sociodemographic characteristics, psychological assets, individual attributes, physical health, and stressful events. Conclusions: This review highlights the importance of considering the two dimensions of mental health when conceptualizing, operationalizing, and measuring mental health. Fostering mental health must go beyond reducing symptoms, and practitioners would be able to include well-being-related interventions in their regular practice to improve individuals' mental health outcomes.

Fan-out panel-level package warpage and reliability analyses considering the fabrication process

With the continuous advancement of IC packaging technology, 3D and 2.5D packaging systems have emerged as the prevailing trends. The advantages of large area and high I/O density have made fan-out panel-level packaging (FOPLP) been considered as one of the best package types for 3D and 2.5D packaging applications. The discussions about FOPLP have been popular recently. Warpage and reliability of FOPLP are the main concerns of packaging engineers. However, it was found that warpage and reliability of FOPLP are strongly related to the fabrication process but not many research works have been published. Thus, reliability analysis procedure considering the residual stress of fabrication process was proposed in this paper to observe warpage and stress distribution during fabrication process. Then, this research procedure facilitates subsequent fatigue life calculations and predicts reliability of the package.First, the thermal stresses and warpage of the redistribution layer-first (RDL-first) process were conducted for an entire panel. Next, warpage and thermal stress analyses were conducted for a strip encapsulated with an epoxy molding compound (EMC) during compression molding. Then, a reliability analysis was conducted with an IC unit and incorporated the consideration of the residual stress induced during the fabrication processes.The compression molding analysis utilized the pressure–volume–temperature–cure (P–V–T–C) model to account for both the volume shrinkage caused by a thermal mismatch and the chemical shrinkage. Furthermore, dual shift factor model was used to model the viscoelastic behavior of EMC in this study during PMC analysis effectively.An observation of the stress distribution for an IC unit revealed that the maximum stress position was at the solder ball near the periphery, with a stress value of 147.309 MPa. The fatigue life calculated using the modified Coffin–Manson fatigue model was 417 cycles.

Going cashless in Japan: Using exchange benefit and cost approach to study continuance intention of mobile wallet

Japan has been a leading country introducing mobile wallet technologies. The Japanese government and related industries have tried to widely diffuse the mobile wallet among Japanese consumers. This paper addresses the issue of “Cashless Japan” by asking what factors will enable Japanese consumers to use the mobile wallet to a greater extent in society. We used the Dual Factor Model framework to explore the causal relationships between exchange benefits (including perceived value and perceived enjoyment) and exchange costs (including security concerns and privacy) with related factors (consumer attitudes and perceived risks) on the continuance intention to use mobile wallet apps. Based on our empirical study in Japan, we found that perceived value and enjoyment affect a consumer's continuance intention through consumer attitudes. Perceived enjoyment has a direct effect on consumer's continuance intention. Privacy and security concerns affect consumer's continuance intention through perceived risk, while privacy concerns also affects consumer attitudes. We found that perceived risk mediates the path from security concerns to continuance intention while consumer attitudes mediates the path from perceived enjoyment to continuance intention.

Stability and Change in Mental Health Profiles from Middle Adulthood to Very Old Age

ABSTRACT Objectives This study investigates mental health (MH) through the dual-factor model, emphasizing both well-being and ill-being. Our objectives were to (1) identify MH profiles based on this model; (2) track these profiles over time; and (3) explore socio-demographic and physical health factors associated with these profiles. Methods We employed Latent Transition Analysis on data from 5,561 individuals aged 39–92, using two waves from the Survey of Health, Ageing, and Retirement in Europe. Well-being was assessed via life satisfaction and quality of life, while ill-being was measured through depression and loneliness. The predictors were socio-demographic and physical health variables. Results Four distinct MH profiles emerged, each with unique levels of well-being and ill-being. Stability was more common in adaptive profiles. Physical health was key in predicting transition. Conclusions Identifying MH profiles in old age enhances our understanding of how MH adapts with aging. This approach reveals the complexity of MH beyond traditional ill-being, underscoring the importance of well-being. Clinical implications • The majority of older adults maintain good MH, suggesting a need for a paradigm shift toward enhancing well-being rather than solely treating ill-being. • Effective MH interventions should integrate both well-being and ill-being assessments to offer understanding and support.

Mental health status according to the dual-factor model in Swedish adolescents: A cross sectional study highlighting associations with stress, resilience, social status and gender.

In this cross-sectional study, we aimed to I) investigate the dual-factor model of mental health by forming and describing four participant groups and II) examine associations between mental health status and background factors, school-related factors, stress, and resilience among adolescents in a community population in Sweden. Data were collected through a survey completed by 2,208 students in lower and upper secondary school on the Swedish island of Gotland. After missing data were removed, a total of 1,833 participants were included in the study. The survey included the Mental Health Continuum Short Form (MHC-SF) for the assessment of mental well-being and the Strengths and Difficulties Questionnaire (SDQ) for the assessment of mental health problems. These two measures were combined into a dual-factor model, forming four mental health status subgroups: Vulnerable (47.5%), Complete mental health (36.2%), Troubled (13.9%), and Symptomatic but content (2.5%). Associations between these groups were explored regarding background factors, school-related factors, stress, and resilience through chi-squared tests and logistic regressions. Girls (OR: 1.88) and participants with high stress levels (OR: 2.23) had elevated odds for Vulnerable mental health status, whereas higher resilience (OR: 0.87) and subjective social status in school (OR: 0.76) were factors associated with reduced odds for this mental health status classification. Female gender (OR: 5.02) was also associated with Troubled mental health status. Similarly, a high level of stress (ORs: 4.08 and 11.36) was associated with Symptomatic but content and Troubled mental health status, and participants with higher levels of resilience had decreased odds for being classified into these groups (ORs: 0.88 and 0.81). The findings highlight the importance of interventions to increase resilience, reduce stress, and address stereotypic gender norms as well as social status hierarchies to support adolescents' mental health.

The influence of stress on mental health among Chinese college students: The moderating role of psychological suzhi

Depending on its duration, stress can be divided into chronic and acute stress, both of which can be detrimental to an individual's mental health. Psychological suzhi may act as a protective factor that buffers the adverse effects of stress. This study aimed to explore the moderating role of psychological suzhi in the relationship between these two types of stress and mental health based on a dual-factor model of mental health. Study 1 explored the moderating role of psychological suzhi on the relationship between chronic stress and mental health using the Adolescent Self-Rating Life Events Check List, College Student Psychological Suzhi Scale Brief Mental Health Version, Satisfaction With Life Scale, and 12-item General Health Questionnaire to investigate 919 Chinese college students. A hierarchical regression model was used to examine the moderating effects. Study 2 examined the moderating role of psychological suzhi on the relationship between acute stress and mental health. Participants (N = 56) were classified into high (N = 30) and low (N = 26) psychological suzhi groups based on the Psychological Suzhi Scale. They completed the Trier Social Stress Test for Groups and a specific control condition, and their state anxiety and happiness levels were assessed. Data were analyzed using a mixed-design repeated-measures ANOVA. The results of Study 1 revealed that psychological suzhi moderated the influence of chronic stress on the negative indicator of mental health (psychological symptoms) (β = −0.18, t = −6.90, p < 0.001). The results of Study 2 showed that psychological suzhi moderated the effect of acute stress on the negative indicator of mental health (state anxiety) [F (1, 54) = 4.79, p < 0.05, η2 = 0.08]. Psychological suzhi can moderate the influence of both chronic and acute stress on the negative indicators of college students' mental health but cannot moderate the influence on the positive indicators of mental health.

Uncovering heterogeneity in mental health changes among first-year medical students

ABSTRACT Introduction The initial year of medical school is linked to a decline in mental health. To assess mental health comprehensively, the dual-factor model posits the consideration of both psychopathology (e.g., depression) and positive mental health (e.g., well-being). Previous mental health research among medical students has primarily examined these two factors independently. This study uses the dual-factor approach for a deeper understanding of mental health changes during the first year of medical school. Methods Students from eight German medical schools (N = 450) were surveyed three times (T0 = entering medical school, T1 = end of the first semester, T2 = end of the second semester) regarding depression (PHQ-9), well-being (subscale of FAHW-12), and general life satisfaction (German Single-Item Scale L1). Latent profile analysis was used to identify distinct mental health groups based on their combinations of psychopathology and positive mental health. We then analysed trajectories descriptively by examining the longitudinal stability and dynamics of mental health group membership during the first year of medical school. Results We identified five mental health groups: (1) complete mental health, (2) moderately mentally healthy, (3) symptomatic but content, (4) vulnerable, and (5) troubled. The examination of change trajectories unveiled diverse paths pointing towards both recovery and deterioration. In comparison to the other groups, students belonging to the complete mental health group exhibited greater stability and a higher potential to recover after initial deteriorations in the first semester. Conclusions Our study uncovers distinct mental health trajectories in the first year of medical school, emphasizing the crucial role of initial mental health status. Our findings stress the diverse nature of mental health changes in medical students, underscoring the need for tailored prevention strategies. The implications for research and practice are discussed.

Breaking Barriers: A Dual-Factor Model Unraveling Ageism in Socially Assistive Robot Adoption among Older Chinese Adults

Despite the promising potential of socially assistive robots (SARs) in serving the aging population, older adults demonstrate lower uptake rates and motivation to use SARs compared to other technological advancements. To address this issue, this study proposes a dual-factor model that draws upon the Risks of Ageism Model (RAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT) to examine the crucial enablers and inhibitors of SAR adoption among older adults. Survey results from 400 older Chinese adults highlighted the significant roles of performance expectancy and robot self-efficacy in facilitating older adults’ intentions to use SARs. Additionally, digital belongingness emerged as a crucial enabler of SAR acceptance. Notably, age discrimination was positively associated with robot anxiety, which in turn was negatively associated with older adults’ intention to use SARs. Furthermore, this study identified the significant moderating role of concerns about being bothersome in the mediating mechanism of robot anxiety, which links older adults’ negative self-perceptions of aging with SAR usage intention. The findings contribute to theoretical knowledge about the mechanisms bridging (self-)ageism with robotic technology acceptance and provide practical recommendations to foster the inclusion of older adults in today’s AI technology-enabled society.