Predictors Of Mental Health Outcomes Research Articles

Depression Literacy and Depressive Symptoms: The Mediating Role of Self-Rated Mental Health Among Korean Americans

ABSTRACT Objective Depression literacy (DL) is increasingly recognized as an important predictor of mental health outcomes, but there remains a noticeable lack of scientific inquiry focusing on Korean Americans in this area. In addition, women are known to be more susceptible to depression, potentially affecting their DL and depressive symptoms differently than men. This study aimed to explore two primary objectives: (1) the potential role of self-rated mental health (SRMH) in mediating the association between DL and depressive symptoms in this population, and (2) whether gender differences exist in the presence and magnitudes of these mediation effects. Method Data were drawn from a survey with 693 Korean Americans aged 18 and older residing in New York and New Jersey. The PROCESS macro was used to test the mediation effect of self-rated mental health on the relationship between depression literacy and depressive symptoms in men and women. Results Self-rated mental health was found to mediate the relation between depression literacy and depressive symptoms in women but not in men. Conclusions Providing evidence-informed, culturally tailored and gender specific depression literacy education and programs for the KA communities may be an important strategy to reduce depressive symptoms in this group.

Adverse childhood experiences among black sexually minoritized men and Black transgender women in Chicago

BackgroundAdverse childhood experiences (ACE) are important predictors of mental health outcomes in adulthood. However, commonly used ACE measures such as the Behavioural Risk Factor Surveillance System (BRFSS) have not been validated among Black sexually minoritized men (SMM) nor transgender women (TW), whom are known to have higher rates of ACE and poorer mental health outcomes. Assessing the psychometric properties of the measure is important for health equity research, as measurements that are not valid for some populations will render uninterpretable results.MethodsData are drawn from the Neighborhoods and Networks (N2) study, a longitudinal cohort of Black SMM and TW living in Southern Chicago. We conducted confirmatory factor analysis, correlation analysis and a two-parameter Item Response Theory (IRT) on the BRFSS ACE measure, an 11-item measure with 8 domains of ACE.ResultsOne hundred forty seven participants (85% cisgender male) completed the BRFSS ACE measurement in the N2 study with age ranges from 16–34. The cohort were from a low socioeconomic background: about 40% of the cohort were housing insecure and made than $10,000 or less annually. They also have a high number of ACEs; 34% had endorsed 4 or more ACE domains. The three-factor structure fit the BRFSS ACE measure best; the measurement consisted of three subscales: of “Household Dysfunction”, “Emotional / Physical”, and “Sexual Abuse” (CFI = 0.975, TLI = 0.967, and RMSEA = 0.051). When the 8 domains of ACE were summed to one score, the total score was is correlated with depressive symptoms and anxiety scores, establishing concurrent validity. Item Response Theory model indicated that the “parental separation” domain had a low discrimination (slope) parameter, suggesting that this domain does not distinguish well between those with and without high ACE.ConclusionsThe BRFFS ACE measure had adequate reliability, a well-replicated structure and some moderate evidence of concurrent validity among Black SMM and TW. The parental separation domain does not discriminate between those with high and low ACE experiences in this population. With changing population demographics and trends in marriage, further examination of this item beyond the current study is warranted to improve health equity research for all.

Predictors of Mental Health Outcomes in a Multidisciplinary Weight Management Program for Class 3 Obesity.

This study aimed to examine the potential predictors of improvement in mental health outcomes following participation in an intensive non-surgical outpatient weight management program (WMP) in an Australian public hospital. This was a retrospective cohort study of all adults with Class 3 obesity (BMI ≥ 40 kg/m2) who enrolled in the WMP from March 2018 to June 2021. The participants completed the Eating Disorder Examination Questionnaire Short Version (EDE-QS), Kessler-10 Psychological Distress Scale, and 36-Item Short-Form Survey (SF-36) at baseline and 12-month follow-up. A total of 115 patients completed 12 months in the WMP and were included in the study, with 76.5% being female, a mean ± SD age at baseline of 51.3 ± 13.8 years, a weight of 146 ± 26 kg, and a BMI of 51.1 ± 8.6 kg/m2. The participants lost an average of 8.6 ± 0.2 kg over 12 months, and greater weight loss at follow-up was significantly associated with improved global EDE-QS scores, psychological distress, and improved mental health quality of life. However, improvements in most mental health outcomes were not predicted by weight loss alone. Notably, a lower eating disorder risk at baseline was associated with less psychological distress at follow-up and greater weight loss at follow-up. Our results also found an association between reduced psychological distress and reduced binge eating frequency. These findings support the inclusion components of obesity interventions that target the psychological correlates of obesity to support improved outcomes in people with Class 3 obesity. Future studies should aim to identify which aspects of the WMP helped improve people's psychological outcomes.

Socioeconomic inequalities in child and adolescent mental health in Australia: the role of parenting style and parents' relationships.

Socioeconomic inequalities in health and their determinants have been studied extensively over the past few decades. However, the role of parenting style and parents' couple relationships in explaining mental health inequalities is limited. Therefore, this study aims to investigate the distributional impact of parenting style (angry parenting, consistent parenting, and inductive parenting) and parents' couple relationships (e.g., argumentative, happy relationships) on socioeconomic inequalities and by extension on mental health status of Australian children and adolescents. This study utilized data from the Longitudinal Study of Australian Children (Waves 1-7), specifically focusing on intact biological parent families, while excluding single-parent and blended-family households. We applied the decomposition index and the Blinder Oaxaca method to investigate the extent of the contribution and temporal impact of parenting style and parents' couple relationships on the mental health status of Australian children and adolescents. This study revealed that poor parenting style is the single most important factor that leads to developing mental health difficulties in children and adolescents, especially from low socioeconomic status, and it contributes almost 52% to socioeconomic inequalities in mental health status. Conversely, household income, maternal education, employment status, and parents' couple relationships contributed 28.04%, 10.67%, 9.28%, and 3.34%, respectively, to mental health inequalities in children and adolescents. Overall, this study underscores the importance of parenting style and parents' couple relationships as significant predictors of mental health outcomes in children and adolescents. These results highlight the need for targeted interventions to support families from low socioeconomic backgrounds to address the significant mental health inequalities observed in the study population.

Mental health burden among females living with HIV and AIDS in sub-Saharan Africa: A systematic review.

Mental health problems, particularly depression and anxiety, are common in women and young girls living with HIV/ AIDS particularly in low- and middle-income (LMICs) countries where women's vulnerability to psychiatric symptoms is heightened due to the prevalent intersectional stressors such as stigma and intimate partner violence. However, no synthesized evidence exists on the mental health burden of females living with HIV/AIDS (FLWHA) in Africa. This systematic review aimed to synthesize the current evidence on the mental health burden among FLWHA in sub-Saharan Africa. A systematic literature review of articles published from 2013-2023 was conducted using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines (PRISMA). Five electronic databases; PubMed, MEDLINE with full text, Scopus, Academic Search Complete, and Health Source: Nursing Academic Edition were searched for articles published in English. Nineteen articles (15 quantitative, 3 qualitative, and 1 case study) from over 7 African countries met the inclusion criteria. The majority of the studies' quality was determined to be moderate. The prevalence of depression ranged from 5.9 to 61% and anxiety from 28.9 to 61%. Mental health burden was a logical outcome of HIV diagnosis. Predictors of mental health outcomes in the context of HIV/AIDS were identified as intimate partner violence (IPV), stigma, childhood traumas, sexual abuse, poverty, unemployment, and social isolation. Social support and resilience were identified as protective factors against mental illness in FLWHA. Mental illness had a deleterious effect on viral suppression rates among FLWHA, resulting in delayed initiation of antiretroviral therapy treatment and increased mortality but had no impact on immune reconstitution in the face of ART adherence. Given the high prevalence rates of depression and anxiety and their relationship with HIV progression, it is crucial that mental health care services are integrated into routine HIV care.

Predictors of mental health outcomes of three refugee groups in an advocacy-based intervention: A precision medicine perspective.

Precision medicine is an area with great potential for mental health, but has made limited gains prognostically in predicting effective treatments. For refugees exposed to violence, culture may be a crucial factor in predicting treatment outcomes. For this study, 290 participants from three regions (Afghanistan, the Great Lakes region of Africa, and Iraq and Syria) participated in a randomized controlled trial of an advocacy-based intervention. Emotional distress symptoms were measured prior to intervention, midintervention (3 months), postintervention (6 months), and follow-up (6 months after the end of intervention). Number of traumatic events, resource access, social support, and English proficiency were tested for potential predictive effects on intervention outcome. Multilevel generalized linear models revealed that Afghans' (B = -0.259, SE = 0.108, p = .013), and Great Lakes Africans' (B = -0.116, SE = 0.057, p = .042) emotional distress symptoms improved as a function of the intervention, while Iraqis and Syrians showed no intervention effects. For Afghans, English proficiency (B = -0.453, SE = 0.157, p < .01) and social support (B = -0.179, SE = 0.086, p = .037) were most strongly correlated to emotional distress, while for Africans, resource access (B = -0.483, SE = 0.082, p < .001) and social support (B = -0.100, SE = 0.048, p = .040) were the strongest predictors of emotional distress. Response to advocacy-based interventions and active ingredients may be influenced by culture; findings have implications for refugees and precision medicine. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Black Grief Matters: Undergraduate Students’ Experiences Grieving Police Murders of Black Americans

Black Americans’ witnessing of online anti-Black police brutality is related to negative psychological outcomes, including stress and depressive symptoms. This study examined the degree to which grief disenfranchisement, social support, and coping style predicted stress, depressive symptoms, and prolonged grief among 189 Black undergraduate students grieving police murders of Black Americans. The students experienced moderate stress, elevated depressive symptoms, and low levels of prolonged grief, and coping style emerged as the most robust predictor of mental health outcomes. Specifically, planning, behavioral disengagement, and ritual-centered coping predicted variance in perceived stress. Additionally, behavioral disengagement explained variance in depressive symptoms; and disenfranchised grief, changes in goals, and collective-centered coping accounted for variance in prolonged grief. These findings may contribute to the development of interventions to support Black undergraduate students as they grieve police murders of Black Americans.

Migrants’ mental health recovery in Italian reception facilities

BackgroundForced migration leaves deep marks on the psychological well-being of migrants, with post-traumatic stress disorder (PTSD) and other psychological conditions being prevalent among them. While research has clarified the extent to which pre-migration trauma is a predictor of mental health outcomes, the role of post-migration stressors in the settlement environment are yet to be fully characterized.MethodsWe monitored mental health of a cohort of 100 asylum-seekers during their 14-day COVID-19-related quarantine in reception facilities in Rome, Italy, through the administration of six questionnaires (a demographic survey, the WHO-5 well-being index, the Primary Care PTSD Screen for Diagnostic and Statistical Manual of Mental Disorders 5 (DSM-5), the Harvard Trauma Questionnaire, the Trauma and Loss Spectrum—Self Report, and the LiMEs—Italian version). Through the combination of statistical analysis and supervised learning, we studied the impact of the first contact with the reception system on asylum-seekers’ mental health and sought for possible risk and shielding factors for PTSD.ResultsWe find that sheltering in refugee centers has a positive impact on migrants’ mental health; asylum-seekers with PTSD reported more traumatic events and personality characteristics related to loss and trauma; life events are predictors of PTSD in asylum-seekers.ConclusionsWe identify past traumatic experiences as predictors of PTSD, and establish the positive role the immediate post-migration environment can play on migrants’ psychological well-being. We recommend for host countries to implement reception models that provide effective protection and integration of asylum-seekers, similar to those in the Italian system.

Time-course changes in mental distress and their predictors in response to the coronavirus disease 2019 (COVID-19) pandemic: A longitudinal multi-site study of hospital staff.

The coronavirus disease 2019 (COVID-19) pandemic provides a unique opportunity studying individual differences in the trajectory of mental distress to relatively homogeneous stressors by longitudinally examining time-course changes between pandemic waves. For 21 months, we tested the effects of COVID-19 waves on mental health among 545 staffs at 18 hospitals treating COVID-19 patients in Shizuoka Prefecture, Japan. Contrary to increasing new infected cases as waves progressed, initially elevated psychological distress (K6) and fear of COVID-19 (FCV-19S) were decreased among waves (K6: B = -.02, 95% confidence interval [CI] = -.03 to -.01; FCV-19S: B = -.10, 95% CI = -.16 to -.04). This initial increase and subsequent decrease in K6 and FCV-19S were more prominent in individuals with high trait anxiety (K6: B = 1.55, 95% CI = 1.18 to 1.91; FCV-19S: B = 4.27, 95% CI = 2.50 to 6.04) and in occupations other than physicians or nurses. The current study revealed time-course changes in psychological distress and fear regarding COVID-19 in each pandemic wave and across waves, and indicated the usefulness of trait anxiety and occupation as predictors of mental health outcomes.

Governmental Social Media Effectiveness on Mental Health Issues in Malaysia During the Covid19 Endemic Phase

This study aims to investigate the relationship between social media usage and mental health outcomes among the Malaysian public during the COVID-19 pandemic. The research utilizes a quantitative research approach and includes survey responses from 378 individuals in the Klang Valley region of Malaysia. Data was collected through online surveys disseminated via popular social media platforms. The majority of respondents were female, aged between 21 and 30, Malay, and held a bachelor's degree or higher. The study employed frequency distribution, descriptive, reliability, and correlation analyses to explore the association between social media usage and mental health outcomes. The findings suggest a modest positive correlation between social media usage and mental health outcomes during the pandemic. However, after controlling for confounding variables, this relationship lost significance, indicating that social media usage alone may not be a reliable predictor of mental health outcomes. Furthermore, the study identified significant relationships between social media usage and economic factors, government factors, the theory of uses and gratification, and media trends. The study highlights the potential benefits of social media in government communication but recommends further research to assess the effectiveness of government initiatives utilizing social media in addressing mental health concerns during the pandemic.

Anxiety and depression symptoms among healthcare workers in China after the coronavirus disease 2019 (COVID-19) epidemic eased: A cross-sectional study.

The current COVID-19 pandemic could lead to an increase in mental health problems among a range of populations, including healthcare workers involved in the pandemic. However, little is known about the lasting health effects of the pandemic after the epidemic eased. The current study was designed to investigate anxiety and depression symptoms and related predictive factors among healthcare workers in China immediately after the epidemic and lockdown eased. A total of 459 healthcare workers in the COVID-19 designated hospital (59.9% females; a mean age of 36.7 ± 9.6) completed an online survey from 14 to 23 April, 2020. The survey instruments were comprised of the Generalized Anxiety Disorder-7, the Patient Health Questionnaire-9, the Perceived Social Support Scale (PSSS), and a questionnaire assessing pandemic-related stressors and mental health needs during the pandemic. Bivariate and multivariate logistic regression analyses were conducted to identify potential predictors of mental health outcomes. The prevalence of probable anxiety and depression were 4.8% and 12.4%, respectively. Multivariable logistic regression analyses indicated that gender (OR (95% CI) = 0.26 (0.08-0.83), P < .05), mental health needs during the pandemic (OR (95% CI) = 3.06 (1.15-8.14), P < .05) and PSSS scores (OR (95% CI) = 0.93 (0.90-0.96), P < .05)were independently, and significantly associated with anxiety, while other diseases during the epidemic (OR (95% CI) = 3.47 (1.38-8.68), P < .05), mental health needs during the pandemic (OR (95% CI) = 2.89 (1.49-5.61), P < .05), and PSSS scores (OR (95% CI) = 0.94 (0.92-0.96), P < .05) were significant predictors of depression. Although the prevalence of anxiety and depression decreased among healthcare workers in China following the epidemic, further attention should be paid to the lasting effects of the epidemic on depression symptoms after the epidemic eased among this population.

Brain fingerprinting: A promising future application for predicting mental illness

Given the significant and increasing mental health challenges faced by society, a new vision for the future of mental health is greatly needed. The determination of individual uniqueness of brain activity - known as ‘brain fingerprinting’ – shows great promise as a predictor of mental health outcomes, and thus could be the future of personalised mental health care. In this paper, we describe the importance of brain changes in adolescence and how by applying artificial intelligence-based predictive models we can harness the complexity of the underlying neurobiology to proactively address emerging mental health problems. We also describe the issues that the future application of brain uniqueness tracking (or similar) depends on, to provide the greatest value for society. We explore the potential effects of external systemic trends on mental health futures and various scenarios that involve future applications of brain fingerprinting, including a range of potential unintended consequences of this proposed predictive technology and how anticipatory governance can help mitigate such outcomes. Our key recommendation for future pre-emptive/preventative mental healthcare is that all young people (aged ∼12 years) are provided with the opportunity to undertake a free brain scan that could be utilised to predict mental health risks.

The Effect of Social Media Use and Environment on Mental Health Among Young People in Sukabumi

This study looked into how social media use and outside influences affected young people's mental health in Sukabumi, Indonesia. 400 young individuals between the ages of 18 and 25 participated in a cross-sectional survey in which information on social media use, environmental exposure, and mental health outcomes (such as depression, anxiety, and stress) was gathered. According to the findings, increased social media use was linked to greater levels of stress, anxiety, and depression, but exposure to environmental elements including noise, air pollution, and green open spaces was found to be a significant predictor of mental health outcomes. In particular, increased exposure to green space was linked to lower levels of sadness, anxiety, and stress whereas higher exposure to air and noise pollution was linked to higher levels of these emotions. Gender was also found to be a significant predictor, with women reporting higher levels of depression, anxiety, and stress than men. These findings highlight the importance of considering the role of social media use, environmental factors, and gender in understanding mental health outcomes among young people in Sukabumi. Interventions aimed at promoting mental health among young people should consider social media use, environmental factors, and gender-related factors. Limitations of the study include a cross-sectional design and limited generalizations to other populations.

Patterns and predictors of depressive and anxiety symptoms within a population-based sample of adults diagnosed with COVID-19 in Michigan.

The COVID-19 pandemic has had wide-ranging impacts on mental health, however, less is known about predictors of mental health outcomes among adults who have experienced a COVID-19 diagnosis. We examined the intersection of demographic, economic, and illness-related predictors of depressive and anxiety symptoms within a population-based sample of adults diagnosed with COVID-19 in the U.S. state of Michigan early in the pandemic. Data were from a population-based survey of Michigan adults who experienced a COVID-19 diagnosis prior to August 1, 2020 (N = 1087). We used weighted prevalence estimates and multinomial logistic regression to examine associations between mental health outcomes (depressive symptoms, anxiety symptoms, and comorbid depressive/anxiety symptoms) and demographic characteristics, pandemic-associated changes in accessing basic needs (accessing food/clean water and paying important bills), self-reported COVID-19 symptom severity, and symptom duration. Relative risks for experiencing poor mental health outcomes varied by sex, age, race/ethnicity, and income. In adjusted models, experiencing a change in accessing basic needs associated with the pandemic was associated with higher relative risks for anxiety and comorbid anxiety/depressive symptoms. Worse COVID-19 symptom severity was associated with a higher burden of comorbid depressive/anxiety symptoms. "Long COVID" (symptom duration greater than 60days) was associated with all outcomes. Adults diagnosed with COVID-19 may face overlapping risk factors for poor mental health outcomes, including pandemic-associated disruptions to household and economic wellbeing, as well as factors related to COVID-19 symptom severity and duration. An integrated approach to treating depressive/anxiety symptoms among COVID-19 survivors is warranted.

Depression, Anxiety, and Suicidality in Individuals With Chronic Traumatic Brain Injury Before and During the COVID-19 Pandemic: A National Institute on Disability, Independent Living, and Rehabilitation Research Traumatic Brain Injury Model Systems Study

ObjectiveTo examine the prevalence, severity, and correlates of depression, anxiety, and suicidal ideation in people with traumatic brain injury (TBI) assessed before and during the COVID-19 pandemic. DesignRetrospective cohort study using data collected through the Traumatic Brain Injury Model Systems (TBIMS) network at 1, 2, 5, 10, 15, 20, 25, or 30 years post TBI. SettingUnited States–based TBIMS rehabilitation centers with telephone assessment of community residing participants. ParticipantsAdults (72.4% male; mean age, 47.2 years) who enrolled in the TBIMS National Database and completed mental health questionnaires prepandemic (January 1, 2017 to February 29, 2020; n=5000) or during pandemic (April 1, 2022 to June 30, 2021; n=2009) (N=7009). InterventionsNot applicable. Main Outcome MeasuresPatient Health Questionnaire-9 and Generalized Anxiety Disorder-7 questionnaire. ResultsSeparate linear and logistic regressions were constructed with demographic, psychosocial, injury-related, and functional characteristics, along with a binary indicator of COVID-19 pandemic period (prepandemic vs during pandemic), as predictors of mental health outcomes. No meaningful differences in depression, anxiety, or suicidal ideation were observed before vs during the COVID-19 pandemic. Correlations between predictors and mental health outcomes were similar before and during the pandemic. ConclusionsContrary to our predictions, the prevalence, severity, and correlates of mental health conditions were similar before and during the COVID-19 pandemic. Results may reflect generalized resilience and are consistent with the most recent findings from the general population that indicate only small, transient increases in psychological distress associated with the pandemic. While unworsened, depression, anxiety, and suicidal ideation remain prevalent and merit focused treatment and research efforts.

Psychological flexibility as a predictor of mental health outcomes in parents of pre-school children during the COVID-19 pandemic: A two-year longitudinal study

In light of the adverse mental health impacts of the COVID-19 pandemic for parents of preschool-aged children, it is important to identify modifiable protective factors that can inform interventions for parents who continue to struggle. The present study examined prospective and concurrent associations of parental psychological flexibility (acceptance, defusion, and committed action) with measures of parental stress and depression symptoms in an international sample of parents of preschoolers assessed at three time points over the first two years of the COVID-19 pandemic: The start of the pandemic (T1) as well as the end of the first (T2) and second (T3) year of the pandemic. Consistent with hypotheses, the three measures of parent psychological flexibility (assessed at T2) prospectively predicted parenting stress levels one year later (T3) (p < .05). Defusion and Committed Action also prospectively predicted lower levels of depression symptoms one year later [p < .05]. Comparable concurrent analyses of data of parents who provided data at T1 and T2 (N = 79) are also presented with acceptance and defusion negatively associated with parental stress (p < .001) and defusion negatively associated with depression (p < .05). This study contributes longitudinal evidence for the value of psychological flexibility for parents and suggests that Acceptance and Commitment Therapy interventions may help to support parental mental health during sustained periods of stress such as the COVID-19 pandemic.

Longitudinal development of depression and anxiety during COVID-19 pandemic in Germany: Findings from a population-based probability sample survey.

The stress response to the COVID-19 pandemic might differ between early and later stages. Longitudinal data on the development of population mental health during COVID-19 pandemic is scarce. We have investigated mental health trajectories and predictors for change in a probability sample of the general population in Germany at the beginning and after 6 months of the pandemic. We conducted a longitudinal survey in a population-based probability sample of German adults. The current study analyzed data from a first assessment in May 2020 (T1; N = 1,412) and a second in November 2020 (T2; N = 743). Mental health was assessed in terms of anxiety and depression using the Patient Health Questionnaire-4 (PHQ-4). Mental health outcomes at T1 were compared with PHQ-4 norm data. Trajectories over time were investigated based on outcome classifications of PHQ-4 scores. Predictors of mental health outcomes and change were identified using multiple regression analysis. In spring 2020, participants showed significantly higher PHQ-4 scores as compared to the norm data, however, overall anxiety and depression remained low also 6 months later. 6.6% of respondents showed a mental health deterioration in autumn 2020, entering subclinical and clinical ranges, outweighing the proportion of people with improved outcomes. Sociodemographic variables associated with mental distress at T1 were mainly not predictive for change at T2. Even under prolonged pandemic-related stress, mental health remained mainly stable in the general population. Further development of the considerable subgroup experiencing deterioration of depression and anxiety should be monitored, in order to tailor prevention and intervention efforts.

The Differing Effects of Ethnicity on Mental Health Outcomes Among Patients Undergoing Lumbar Fusion Surgery

Introduction Few studies have explored the effect of ethnicity on postoperative mental health outcomes. This study aims to evaluate the effect of ethnicity on changes in mental health outcomes following lumbar fusion (LF). Methods A surgical database was retrospectively reviewed for primary, single, or multilevel, lumbar fusion with posterior instrumentation procedures. Patients were propensity score matched to account for differences in demographics. 12-Item Short Form and Veterans RAND (SF-12 and VR-12) Mental Composite Score (MCS), 9-Item Patient Health Questionnaire (PHQ-9), Visual Analogue Scale (VAS) back, VAS leg, and Oswestry Disability Index (ODI) were recorded. A minimum clinically important difference (MCID) was calculated. Patients were grouped according to ethnicity: African-American, Hispanic, Asian/Other, and Caucasian. Differences between groups in baseline characteristics and mean outcome scores were evaluated. Ethnicity was assessed as a predictor of mental health outcomes and achievement of MCID was evaluated using regression analysis. Results The study included 224 patients, 43 African-American, 40 Hispanic, 22 Asian/Other, and 119 Caucasian. Groups differed in age, comorbidity score, and insurance collected (p&lt;0.05). African-Americans had the longest postoperative stay (47.3 hours; p=0.032). Groups differed in preoperative SF-12 and VR-12 MCS, but not PHQ-9 (p&lt;0.001, both). Groups demonstrated differences in postoperative SF-12 MCS (p≤0.021), VR-12 MCS (p≤0.028), PHQ-9 (p=0.009). VAS back, VAS leg, and ODI demonstrated significantly different scores (p≤0.041, all). Ethnicity was not a predictor of mental health outcomes at any timepoint and did not demonstrate an impact on achievement of MCID. Majority of individuals achieved an MCID by 1-year for all outcomes. Discussion Preoperative mental health scores demonstrated significant differences based on a patient’s ethnicity but was resolved by 2-years. Ethnicity did not demonstrate significant effects on the ability to achieve an MCID for mental health outcomes. These results suggest that patients of differing backgrounds may require alternative preoperative counseling.

The interplay of Criterion A of the Alternative Model for Personality Disorders, mentalization and resilience during the COVID-19 pandemic.

Background and aimsThe COVID-19 pandemic has been accompanied by a worsening of mental health levels in some, while others manage to adapt or recover relatively quickly. Transdiagnostic factors such as personality functioning are thought to be involved in determining mental health outcomes. The present study focused on two constructs of personality functioning, Criterion A of the Alternative Model for Personality Disorders (AMPD, DSM-5) and mentalization, as predictors of depressive symptoms and life satisfaction during the COVID-19 pandemic. A second focus of the study was to examine whether this relationship was mediated by resilience.MethodsLinear regression analyses were used to examine the relationship between personality functioning measured by Criterion A (AMPD, DSM-5) and mentalizing abilities as predictors, and depression and life satisfaction as mental health outcomes. To assess the hypothesis that this relationship is mediated by resilience a structural equation modeling approach was conducted. Data from N = 316 individuals from the general population were collected.ResultsLinear regression models revealed highly significant associations between Criterion A/mentalization and both outcome measures. Structural equation models showed a significant partial mediation by resilience of these relationships.ConclusionOur results support the hypothesis that mentalizing serves as a protective function by promoting resilience to the impact of stress and threats. Criterion A and mentalization performed similarly as predictors of mental health outcomes, providing empirically overlapping operationalizations of personality functioning. This finding emphasizes the importance of personality functioning in positive and negative mental health outcomes. Furthermore, our results are consistent with a mediating role of resilience.

Prevalence and predictors of mental health outcomes in UK doctors and final year medical students during the COVID-19 pandemic

BackgroundThe mental health of doctors is an ongoing concern, both prior to and during the COVID-19 pandemic. This study aimed to: i) assess the prevalence of symptoms of depression, anxiety, PTSD, and burnout in UK doctors and final year medical students during the pandemic, and ii) analyse the hypothesised relationships between psychological flexibility, intolerance of uncertainty and resilience with these mental health outcomes. MethodsA cross-sectional online study of UK-based doctors and final year medical students was conducted between 27/09/2020 and 31/01/2021. Outcomes were measured using the PHQ9, GAD7, PCL-5, and aMBI. Independent variables included the CompACT-SF, IUS-12, and CD-RISC-10. Descriptive statistics, between-group analyses, and multiple regression were performed. ResultsPrevalence of anxiety symptoms was 26.3%, depression 21.9%, PTSD 11.8%, and burnout 10.8%. Psychological flexibility negatively predicted all outcomes, apart from low personal achievement. Intolerance of uncertainty positively predicted anxiety and PTSD scores. Resilience negatively predicted scores on burnout subscales. LimitationsCross-sectional design and non-probability sampling method means that assumptions about causality cannot be made and may have implications for bias and generalisability of results. ConclusionDoctors and medical students in the UK reported high levels of mental health symptoms during the pandemic, between September 2020 and January 2021. All three independent variables explained significant variance in mental health outcomes. Psychological flexibility was the most consistent predictor, over and above sociodemographic variables and other psychological predictors. These findings have implications for interventions to improve retention of our essential medical workforce, and for providing support at future times of national crisis.