Dual-factor Model Of Mental Health Research Articles

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 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.

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.

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.

A dual-factor model perspective on depressed inpatients: examining the dynamics of mental health and therapy outcomes.

The dual-factor model of mental health posits that mental health and mental illness constitute two distinct axes; accordingly the model identifies four mental health groups: (1) complete mental health, (2) troubled, (3) vulnerable, (4) symptomatic but content. Yet, only a few studies investigated effectiveness of therapy on both dimensions of mental health simultaneously. Against this background, the present study aimed to determine proportions and changes of group assignments in depressed inpatients undergoing therapy. N = 1,044 depressed inpatients (age in years: M = 53.36, SD = 9.81, range: 17-83) completed a pre- and a post-treatment survey including questionnaires on depression, anxiety, and positive mental health. A total of n = 328 persons completed the survey also at 6-month and 12-month follow-up assessments. In the classification that included depression symptoms and positive mental health, 49% of the participants were classified as troubled and 13.2% were classified as completely mentally healthy at the pre-treatment assessment. At the post-treatment, 9.5% were classified as troubled and 55.7% were classified as completely mentally healthy. In the classification that included anxiety symptoms and positive mental health, 21.9% of the participants were classified as troubled and 14.2% were classified as completely mentally healthy at the pre-treatment assessment. At the post-treatment, 3.7% were classified as troubled and 56.1% were classified as completely mentally healthy. About 10 to 20% of patients showed an improvement in depression/anxiety and positive mental health, whereas another 10 to 20% showed a reduction in depression/anxiety, but only a minor increase in positive mental health between pre- and post-treatment. Findings are in line with past research inspired by the dual-factor model in showing that enhancing positive mental health and alleviating psychopathology do not always co-occur in treatment. It is therefore important to implement measures of both psychopathology and positive mental health in therapy outcome studies, and to promote interventions targeting both psychopathology and positive mental health.

Profiles of occupational well-being among Chinese teachers: Associations with basic psychological needs satisfaction and teaching quality

Guided by the dual-factor model of mental health, the present study used a person-centered approach to explore Chinese middle school teachers' occupational well-being profiles and investigate how these profiles correspond with teachers' basic psychological needs satisfaction and teaching quality. Data from the Teaching and Learning International Survey (TALIS) 2018 were used (N = 3,976). Four occupational well-being profiles were identified through latent profile analysis, and they were associated differently with teachers’ basic psychological needs satisfaction (i.e., autonomy, competence, and relatedness) and teaching quality (i.e., clarity of instruction, cognitive activation, and classroom management). Findings provide practical implications to support teachers.

Dualfactor Model of Mental Health in Chinese Employees: A Latent Profile Analysis

Dualfactor Model of Mental Health in Chinese Employees: A Latent Profile Analysis

Bidirectional longitudinal associations of mental health with academic performance in adolescents: DADOS study.

The dual-factor model of mental health (i.e., the presence of psychological well-being along with the absence of distress) and its association with academic performance over time has been barely studied in the adolescent population, as most of the prior research focuses on psychological well-being or distress indicators in isolation. The current study analyzed the bidirectional longitudinal association between the dual-factor model of mental health and academic performance in adolescents, comprising a longitudinal assessment 2 years apart. A total of 266 secondary school students (13.9 ± 0.3 years at baseline) from Deporte, ADOlescencia y Salud study were assessed. Mental health was assessed through the Behavior Assessment System for Children and Adolescents. Academic performance was assessed throughacademic grades and the Test of Educational Abilities. A cross-lagged modeling approach was used to examine the bidirectional longitudinal association between mental health and academic performance. Higher academic performance at baseline was associated with better mental health over time, but not vice versa, since this association was not bidirectional. Results suggest that academic performance is an important target for developing educational interventions, as it shapes adolescents' mental health at 2 years of follow-up. The overall picture of students' mental health and academic performance was analyzed. Academic performance may be a predictor of adolescents' mental health status. Mental health may not be a predictor of adolescents' academic performance. Good mental health should be promoted among youth with low academic performance.

Latent Profile Analysis of Mental Health among Chinese University Students: Evidence for the Dual-Factor Model.

The dual-factor model of mental health has garnered substantial support, positing the necessity of encompassing both negative (e.g., psychological problems) and positive (e.g., well-being) indicators in comprehensive evaluations of people's mental health. Nonetheless, the nature of the profiles and predictors (such as academic emotions) during four years of university life lack clarity, hampering a profound understanding of mental well-being among university students. This research included 135 items designed to assess an array of depression symptoms, negative emotional experiences, life satisfaction, positive emotional experiences, and academic emotions. First, this research affirmed the applicability of the dual-factor model in the context of Chinese university students (N = 2277) with the utilization of confirmatory factor analysis (CFA). Furthermore, latent profile analysis (LPA) was employed to delineate prevalent constellations of psychological symptoms and subjective well-being within participants. The outcomes unveiled the existence of three distinct clusters: (1) Complete Mental Health, (2) Vulnerable, and (3) Troubled. Third, by employing R3stept on academic emotions and mental health classifications, this study revealed that there were associations between this variable and specific amalgams of psychological symptoms and well-being levels. These findings bear influence on the practice of mental health screening and the identification of individuals necessitating targeted interventions.

Multidimensional Assessment of Student Mental Health during the COVID-19 Pandemic: A Latent Profile Analysis Integrating Positive Psychology

Background: The mental health of young adults, especially university students, has become an increasingly concerning issue. In order to develop targeted interventions and support initiatives, it is essential to comprehend distinct mental health profiles and identify vulnerable groups among Tunisian university students. This study aimed to achieve three main objectives: (a) to empirically identify different profiles of mental health among young adults in Tunisia, based on a person-centred approach using the dual-factor model of mental health, (b) to outline the identified profiles, which incorporate both psychopathological symptoms and indicators of positive subjective well-being, across sociodemographic and academic achievement factors, and (c) to establish predictors of these profiles.Methods: Cross-sectional data was collected from a cohort of teenage Tunisian university students (n = 1185, 54% females), aged between 18 to 24 years old (Mean = 21.10; SD = 2.02). Participants completed an online survey, which included assessments of socio-demographic characteristics, academic achievement, stress, depression, anxiety, spiritual well-being, life satisfaction, and happiness.Results: Analysis of latent profiles revealed the existence of three distinct mental health classes. The first profile (21.1%) represented individuals with poor mental health. The second profile (42.5%) consisted of individuals with moderate mental health, and the third profile (36.4%) comprised individuals with good mental health. Significant differences were found between these three classes regarding family income and academic completion (p&lt;0.01 and p&lt;0.001, respectively). Multinomial logistic regression analysis provided Odds Ratios (OR) with Confidence Intervals (CI), revealing that the poor mental health class was associated with low family income (OR: 3.28; 95% CI: 1.90–5.63) and failed academic achievement (OR: 46; 68% CI: 28.23–77.20). Additionally, the moderate mental health class was linked to low family income (OR: 1.88; 95% CI: 1.30–2.72), living with family (OR: 0.70; 95% CI: 0.49–0.99), and failed academic achievement (OR: 1.50; 95% CI: 1.06–2.11). However, no significant associations were found for middle family income (OR: 1.27; 95% CI: 0.93–1.74) and dwelling in university residence (OR: 0.81; 95% CI: 0.60–1.10) as predictors.Conclusion: This study revealed that a considerable number of university students aged 18 to 24 were vulnerable to mental health issues, irrespective of gender and age. However, students belonging to classes with low incomes and those who did not pass exams were identified as the most vulnerable groups. It is crucial to pay particular attention to these students and provide appropriate support and interventions.

Analysis of Protective Factors in Schoolchildren in England Using the Dual-factor Model of Mental Health.

The dual-factor approach to mental health was employed to explore levels and interrelations of protective factors associated with resilience in a dataset of 30,841 schoolchildren aged 11-14 in England. ANOVA was used to contrast levels of protective factors between groups (combinations of higher/lower psychopathology and higher/lower wellbeing) and network analysis to explore protective factor interrelations. Levels of protective factors tended to be highest for those who had higher wellbeing and lower psychopathology (termed 'complete mental health'). Those with lower levels of protective factors were split between two subpopulations: having lower wellbeing and higher psychopathology (termed 'troubled'), and having lower wellbeing and lower psychopathology (termed 'vulnerable'). Analysis of the protective factor networks revealed that the four subpopulations of the model were distinguished by both their overall structure and individual node connectivity (the 'complete mental health' subpopulation demonstrated the greatest connectivity), though two were similar: those with higher wellbeing and higher psychopathology (termed 'symptomatic but content') and lower wellbeing and higher psychopathology ('troubled'). The results indicate that while 'vulnerable' and 'symptomatic but content' may be hard to discriminate conceptually, the former may reflect a lower capacity to cope during periods of adversity (i.e., show resilience). Overall, the results encourage a holistic approach to mental health screening, particularly as children with lower wellbeing had lower levels of the protective factors, regardless of their level of psychopathology. Moreover, interventions to improve protective factors associated with positive development in stressed environments may therefore have a greater impact on improving wellbeing than decreasing symptoms of psychopathology.

Cumulative Risk and Mental Health of Left-behind Children in China: A Moderated Mediation Model

Based on the dual-factor model of mental health (DFM) and the cumulative risk (CR) model, this study aimed to investigate the impact of CR on left-behind children's mental health and the underlying mechanism involved, specifically the mediating role of coping style and the moderating role of gratitude in the relationship between CR and mental health. The random cluster sampling method was applied to collect data on CR, coping style, gratitude, life satisfaction, and depression from 705 left-behind children (374 boys, Mage = 12.20 ± 1.25). The moderated mediation analyses indicated that: (1) the moderated mediation model of CR and depression was significant: coping style mediated the relationship between CR and depression, and gratitude moderated this mediating effect with gratitude strengthening the negative association between CR and coping style; and (2) gratitude moderated the relationship between CR and life satisfaction and it also strengthened the negative association between CR and life satisfaction. The findings suggest that the mechanisms of coping style may differ in the relationships between CR and positive and negative indicators of mental health in left-behind children and that gratitude as a protective factor has limited capacity to buffer the negative effect of accumulated risk. These findings provide evidence for differentiated intervention approaches to promote disadvantaged children's life satisfaction and depression.

The mediating and moderating role of psychological resilience between occupational stress and mental health of psychiatric nurses: a multicenter cross-sectional study

BackgroundThe particular occupational stress of psychiatric nurses has a negative impact on their mental health. There is evidence that psychological resilience can promote mental health; however, the relationship between resilience in occupational stress and mental health of psychiatric nurses is unclear, and mental health was assessed from a psychopathological perspective, neglecting the role of positive psychology. Therefore, this study was based on a dual-factor model of mental health, describing mental health in terms of both positive well-being and psychiatric symptoms. We aimed to investigate the level of psychiatric nurses' mental health and whether resilience plays a mediating or moderating role between occupational stress and mental health in psychiatry nurses.MethodsA cross sectional survey of 450 psychiatric nurses in five hospitals in Jiangsu Province was conducted using a convenience sampling method, of which 413 were valid questionnaires with an effective rate of 91.8%. The evaluation included the Chinese Nurses’ Stress Scale, the Connor-Davidson Resilience Scale, the Warwick-Edinburgh Mental Well-being Scale, and the General Health Questionnaire. Descriptive and Spearman correlation analyses were performed using SPSS25.0 while mediating and moderating effects were performed using SmartPLS3.0.ResultsBased on a dual-factor model of mental health, this study found that psychiatric nurses had a low general state of mental health, with 54.5% positive mental health, 7% vulnerable, 21.8% symptomatic but content, and 16.7% completely troubled. In addition, we found that resilience plays a mediating role in stress and mental health [β = -0.230, 95% CI of (-0.310, -0.150)] and does not play a moderating role [β = -0.018, 95%CI (-0.091, 0.055)].ConclusionsPsychiatric nurses are in a poor state of mental health, and psychological resilience partly mediates occupational stress and mental health. This study suggests that attention should be paid to both positive and negative aspects of psychiatric nurses' mental health, and strategies should be developed to reduce occupational stress and develop psychological resilience.

The influence of self-compassion on mental health of postgraduates: Mediating role of help-seeking behavior.

This study explores the relationship between self-compassion and mental health of postgraduates based on the perspective of the dual-factor model (DFM) of mental health and the mediating role of help-seeking behavior. A total of 605 postgraduates were investigated with a questionnaire. The results showed that the DFM of mental health was better than the one-factor model for the mental health status of postgraduates. Among them, those with complete mental health accounted for the highest proportion (63.3%), followed by vulnerable (25.1%), troubled (9.1%), and symptomatic but content (2.5%). Self-compassion and non-professional help-seeking behavior had a positive predictive effect on positive mental health factors of the postgraduates, while self-compassion had a negative predictive effect on their psychological symptoms. Non-professional help-seeking behavior played a partial mediating role between self-compassion and positive mental health factors.

Character strengths and mental health as complex systems: a network analysis to identify bridge strengths

The network approach poses an alternative focus to understand psychological constructs as emerging from mutual interactions among indicators. Network psychometrics has been applied to psychopathology to unravel the connections between symptoms, but it can also be applied to the study of well-being. The role of character strengths in mental health is at the forefront of research attention. Previous findings suggest that heart character strengths are more predictive of mental health than mind character strengths. Nevertheless, researchers have rarely applied the network approach in this context. The present study examines, from the network approach, the connections between heart and mind character strengths and mental health. Building upon the dual-factor model of mental health, positive (i.e., happiness and life satisfaction) and negative indicators (i.e., depression) were included in the assessment of this construct. A sample of 597 Spanish undergraduates (M = 23.52; SD = 5.25; 75.6% females) completed cross-sectional self-report measures. Network analysis was used to estimate a network composed of two communities: character strengths and mental health. We used centrality analysis to calculate the importance of each node and bridge centrality to examine the interactions between the communities. The results indicated that the heart strengths of love, zest, hope, and gratitude reported the highest bridge strength centrality, suggesting that they played an intermediary role activating and deactivating components of mental health. Adopting the network approach to explore the connections between character strengths and mental health can help design focused intervention strategies in psychology.

Suicidal ideation, suicide attempts and positive mental health in Chinese medical students

• Twelve-month suicidal ideation is about 10-11.5% in Chinese university students. • Medical students have lower depression symptoms than students of other disciplines. • Medical students have higher positive mental health (PMH) than other students. • Over 84% of students report complete mental health (high PMH, low psychopathology). Students worldwide are at marked risk of suicidal ideation/behavior, depression, and low positive mental health (PMH). Medical students are suspected to be a particularly burdened group. On this background, the aim of the present study was to determine prevalence rates of suicidal ideation/behavior, depression and PMH, among Chinese medical students compared to students from other disciplines. A total of 2,695 Chinese students (41.2% women; age: M = 18.86, SD = .60, range: 18–21), including 461 medical students, filled out self-report measures on suicidal ideation/behavior, depression, and PMH. Twelve-month suicidal ideation was reported by 10.2% of the medical students and by 11.5% of the other students. Medical students had significantly lower levels of depression symptoms and significantly higher levels of PMH than students from other disciplines. Complete mental health – according to the dual-factor model of mental health – was reported by more than 84% of the total sample. Data were assessed by a self-report survey that is prone to social desirability. Students in the present study displayed high rates of complete mental health – although the survey was conducted in the midst of the Corona pandemic. No evidence was found that medical students are particularly stressed.

A dual-factor model of posttraumatic responses: Which is better, high posttraumatic growth or low symptoms?

Experiencing traumatic events may invoke posttraumatic symptoms (PTS) or growth (PTG). Using a dual-factor approach inspired by the dual-factor model of mental health, we explore the intersections of posttraumatic symptoms and growth with 21 strengths and indicators of psychological, physical, and spiritual well-being. A survey completed by 1,966 participants who had experienced at least one prior victimization (average age 29.8 [SD = 1.64]; 63.6% female) assessed strengths, outcomes, and victimization. Participants were classified into four posttraumatic groups: Resilient (low symptoms, high growth, 23.9%), Prevailed (high symptoms, high growth, 26.1% of sample), Detached (low symptoms, low growth, 20.3%), and Distressed (high symptoms, low growth, 29.8%). Analyses of covariance (ANCOVAs) controlling for age, gender, and victimization found that posttraumatic group classification was associated with each regulatory, meaning-making, and interpersonal strength, and every well-being measure. The Distressed group scored the lowest and the Resilient group scored the highest on almost all measures. Notably, the Prevailed group scored above the Detached group on most measures, except for health-related quality of life and optimism, suggesting that high growth may be more beneficial than low symptoms when coping with trauma. Findings suggest that coping after trauma is more complex than merely doing well or doing poorly in response to trauma. Promoting posttraumatic growth may help even highly symptomatic people achieve well-being after trauma. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Adolescent mental health profiles through a latent dual-factor approach

The dual-factor model of mental health emphasizes the integration of subjective well-being and psychopathology to obtain a complete conceptualization of mental health. When used in schoolwide screenings, this dual-factor approach provides a more comprehensive picture of students' mental health. In a sample of adolescents (N = 404) attending a Midwestern U.S. middle school (Grades 6–8), the current study empirically identified mental health groups through latent profile analysis (LPA) and examined how profile membership was predicted by various demographic variables, academic achievement, general grit, academic grit, and growth mindset. Three mental health profiles emerged: Complete Mental Health (above average life satisfaction and affect, below average internalizing and externalizing problems), Symptomatic but Content (average to above average life satisfaction and affect, above average internalizing and externalizing difficulties), and Troubled (below average life satisfaction and affect, above average internalizing and externalizing difficulties). These profiles partially supported the dual-factor model of mental health, although a vulnerable group was not identified. Gender, SES, racial identity, and IEP status were significant predictors of mental health profile membership. Academic achievement, general grit, academic grit, and growth mindset were also significant predictors of mental health group membership. Limitations, future directions, and implications are discussed, including how these findings inform school psychological theory and practice.

The Interpersonal Dimension of Pandemic Fear and the Dual-Factor Model of Mental Health: The Role of Coping Strategies.

(1) Background: Current COVID-19 research has mainly focused on negative outcomes associated with fear of the pandemic with the examination of potentially positive outcomes remaining underexplored. Based on the dual-factor model of mental health, which postulates positive and negative dimensions, we assessed the influence of COVID-19 fear on both negative and positive mental health outcomes and examined the mediational role of coping strategies. (2) Methods: A convenience sample of 231 respondents participated in an online survey reporting on measures of pandemic fear (SFS), distress (HADS), post-traumatic growth (PTGI) and individual differences in terms of coping strategies (CSI-SF). (3) Results: Respondents’ main concerns related with the pandemic highlighted the interpersonal and social dimensions implicated in fear of COVID-19. As expected, fear of the pandemic was associated not just with negative but also positive outcomes, while different coping strategies played a role in determining such effects. More specifically, disengagement coping mediated the effects of fear on anxiety and depression, whereas engagement coping was the only mediator of the relationship between COVID-19 fear and post-traumatic growth. (4) Conclusions: Approaches to promote psychological wellbeing in the context of the COVID-19 pandemic should on the one hand be sensitive to the needs of the more vulnerable population groups, while on the other leverage existing resources to harness the potential for growth. Strengthening engagement coping in the context of fears triggered by the pandemic may constitute a valuable target to protect against negative and optimize positive mental health outcomes in the general population.