A new scale to assess health-facility level management: the development and validation of the facility management scale in Ghana, Uganda, and Malawi.

BACKGROUND: The increased recognition of governance, leadership, and management as determinants of health system performance has prompted calls for research focusing on the nature, quality, and measurement of this key health system building block. In low- or middle-income contexts (LMIC), where facility-level management and performance remain a challenge, valid tools to measure management have the potential to boost performance and accelerate improvements. We, therefore, sought to develop a Facility-level Management Scale (FMS) and test its reliability in the psychometric properties in three African contexts. METHODS: The FMS was administered to 881 health workers in; Ghana (n = 287; 32.6%), Malawi (n = 66; 7.5%) and Uganda (n = 528; 59.9%). Half of the sample data was randomly subjected to exploratory factor analysis (EFA) and Monte Carlo Parallel Component Analysis to explore the FMS' latent structure. The construct validity of this structure was then tested on the remaining half of the sample using confirmatory factor analysis (CFA). The FMS' convergent and divergent validity, as well as internal consistency, were also tested. RESULTS: Findings from the EFA and Monte Carlo PCA suggested the retention of three factors (labelled 'Supportive Management', 'Resource Management' and 'Time management'). The 3-factor solution explained 51% of the variance in perceived facility management. These results were supported by the results of the CFA (N = 381; χ2 = 256.8, df = 61, p < 0.001; CFI = 0.94; TLI = 0.92; RMSEA [95% CI] = 0.065 [0.057-0.074]; SRMR = 0.047). CONCLUSION: The FMS is an open-access, short, easy-to-administer scale that can be used to assess how health workers perceive facility-level management in LMICs. When used as a regular monitoring tool, the FMS can identify key strengths or challenges pertaining to time, resources, and supportive management functions at the health facility level.

Is Dissociation a Fundamental Component of ICD-11 Complex Posttraumatic Stress Disorder?

ICD-11 Complex Posttraumatic Stress Disorder (CPTSD) is a disorder of six symptom clusters including reexperiencing, avoidance, sense of threat, affective dysregulation, negative self-concept, and disturbed relationships. Unlike earlier descriptions of complex PTSD, ICD-11 CPTSD does not list dissociation as a unique symptom cluster. We tested whether the ICD-11 CPTSD symptoms can exist independently of dissociation in a nationally representative sample of adults (N = 1,020) who completed self-report measures. Latent class analysis was used to identify unique subsets of people with distinctive symptom profiles. The best fitting model contained four classes including a "low symptoms" class (48.9%), a "PTSD" class (14.7%), a "CPTSD" class (26.5%), and a "CPTSD + Dissociation" class (10.0%). These classes were related to specific adverse childhood experiences, notably experiences of emotional and physical neglect. The "PTSD," "CPTSD," and "CPTSD + Dissociation" classes were associated with a host of poor health outcomes, however, the "CPTSD + Dissociation" class had the poorest mental health and highest levels of functional impairment. Findings suggest that ICD-11 CPTSD symptoms can occur without corresponding dissociative experiences, however, when CPTSD symptoms and dissociative experiences occur together, health outcomes appear to be more severe.

Symptoms and levels of ICD-11 Prolonged Grief Disorder in a representative community sample of UK adults.

BACKGROUND: Prolonged Grief Disorder (PGD) is a new disorder included in ICD-11 (WHO, 2018). There is a growing body of literature surrounding the prevalence and correlates of ICD-11 PGD symptoms as assessed using various measures. This study was the first to assess levels of ICD-11 PGD symptoms as measured by the International Prolonged Grief Disorder Scale (IPGDS), a self-report scale directly aligned with the ICD-11 definition of PGD, among the United Kingdom adult general population, and identify correlates. METHOD: Participants included 2025 adults who participated in Wave 5 of the COVID-19 Psychological Research Consortium Study (C19PRC-UK). Prevalence rates of PGD were estimated based on two commonly used algorithms defined as 'strict' and 'moderate'. Sociodemographic, loss-related, and mental health correlates (i.e., anxiety, depression, mental health treatment seeking, loneliness) of strict and moderate PGD were then examined using multinomial logistic regressions. RESULTS: It was found that 2.4% (n = 43) of participants met probable caseness for PGD using the strict criteria while 7.9% (n = 140) met probable caseness for PGD using the moderate criteria. Multinomial logistic regression analysis results showed, as predicted, that income, time since bereavement, death of a child, religiosity, and depression were associated with both moderate and strict PGD. Correlates of moderate PGD included country of residence, urbanicity, younger age of bereaved, and loneliness. CONCLUSIONS: This study highlights that some symptoms of PGD are commonly reported in the general population, although relatively few meet the criteria for clinical significance. The routine assessment for PGD following a bereavement is discussed and the development of appropriate interventions are recommended.

Change in child mental health during the Ukraine war: evidence from a large sample of parents.

The ongoing war in Ukraine is expected to negatively impact the mental health of the country's population. This study aims to provide a preliminary estimate of the degree of change in the mental health problems of Ukrainian children following Russia's invasion in February 2022, and to identify the sociodemographic and war-related risk factors associated with these changes. A nationwide, opportunistic sample of 1238 parents reported on a single randomly chosen child within their household as part of The Mental Health of Parents and Children in Ukraine Study. Data were collected between July 15th and September 5th, 2022. Participants completed modified versions of the Pediatric Symptom Checklist (PSC-17) which was adapted to capture change in the frequency of symptoms since the beginning of the war. Parents reported increases across all 17 indicators of internalizing, externalizing, and attention problems of the PSC-17. Increased problems were most pronounced within the internalizing domain, with 35% of parents reporting that their child worried more since the beginning of the war. A number of individual, parental, and war-related factors were associated with increases across the three domains. Exposure to war trauma, pre-existing mental health problems, and child age were among the strongest predictors of change. This survey provides preliminary evidence that the Russian war on Ukraine has led to an increase in common mental health problems among children in the general population. Further research is required to determine the extent and sequela of this increase, and to develop intervention strategies for those most in need.

The Experiences of Post-ICU COVID-19 Survivors: An Existential Perspective using Interpretative Phenomenological Analysis.

COVID-19 has highlighted the vulnerability of intensive care unit (ICU) patients and the negative sequelae associated with ICU treatment. While the potentially traumatic impact of ICU is well documented, less is known about the ICU survivor's subjective experience and how it influences life post-discharge. Existential psychology addresses the universal concerns of existence, including death, isolation, and meaninglessness, and offers a holistic view of human experience beyond diagnostic categories. An existential psychological understanding of ICU COVID-19 survivorship may therefore provide a rich account of what it means to be among the worst affected by a global existential crisis. This study employed interpretive phenomenological analysis of qualitative interviews with 10 post-ICU COVID-19 survivors (aged 18-78). Interviews were structured on existential psychology's 'Four Worlds' model that explores the physical, social, personal, and spiritual dimensions of human experience. The essential meaning of ICU COVID-19 survival was conceptualised as 'Trying to Reconnect with a Changed Reality' and consisted of four themes. The first, Between Shifting Realities in ICU, described the liminal nature of ICU and the need to ground oneself. The second, What it Means to Care and Be Cared For, captured the emotive nature of personal interdependence and reciprocity. The third, The Self is Different, described survivors' struggle to reconcile old and new selves. The fourth, A New Relationship with Life, outlined how survivors' experiences shaped their new worldviews. Findings evidence the value of holistic, existentially informed psychological support for ICU survivors.

Measurement invariance of the Patient Health Questionnaire (PHQ-9) and Generalized Anxiety Disorder scale (GAD-7) across four European countries during the COVID-19 pandemic.

BACKGROUND: The Patient Health Questionnaire (PHQ-9) and Generalized Anxiety Disorder scale (GAD-7) are self-report measures of major depressive disorder and generalised anxiety disorder. The primary aim of this study was to test for differential item functioning (DIF) on the PHQ-9 and GAD-7 items based on age, sex (males and females), and country. METHOD: Data from nationally representative surveys in UK, Ireland, Spain, and Italy (combined N = 6,054) were used to fit confirmatory factor analytic and multiple-indictor multiple-causes models. RESULTS: Spain and Italy had higher latent variable means than the UK and Ireland for both anxiety and depression, but there was no evidence for differential items functioning. CONCLUSIONS: The PHQ-9 and GAD-7 scores were found to be unidimensional, reliable, and largely free of DIF in data from four large nationally representative samples of the general population in the UK, Ireland, Italy and Spain.

The role of psychosocial factors in explaining sex differences in major depression and generalized anxiety during the COVID-19 pandemic.

BACKGROUND: Understanding how pandemics differentially impact on the socio-protective and psychological outcomes of males and females is important to develop more equitable public health policies. We assessed whether males and females differed on measures of major depression and generalized anxiety during the COVID-19 the pandemic, and if so, which sociodemographic, pandemic, and psychological variables may affect sex differences in depression and anxiety. METHODS: Participants were a nationally representative sample of Irish adults (N = 1,032) assessed between April 30th to May 19th, 2020, during Ireland's first COVID-19 nationwide quarantine. Participants completed self-report measures of anxiety (GAD-7) and depression (PHQ-9), as well as 23 sociodemographic pandemic-related, and psychological variables. Sex differences on measures of depression and anxiety were assessed using binary logistic regression analysis and differences in sociodemographic, pandemic, and psychological variables assessed using chi-square tests of independence and independent samples t-tests. RESULTS: Females were significantly more likely than males to screen positive for major depressive disorder (30.6% vs. 20.7%; χ2 (1) = 13.26, p < .001, OR = 1.69 [95% CI = 1.27, 2.25]), and generalised anxiety disorder (23.3% vs. 14.4%; χ2 (1) = 13.42, p < .001, OR = 1.81 [95% CI = 1.31, 2.49]). When adjusted for all other sex-varying covariates however, sex was no longer significantly associated with screening positive for depression (AOR = 0.80, 95% CI = 0.51, 1.25) or GAD (AOR = 0.97, 95% CI = 0.60, 1.57). CONCLUSION: Observed sex-differences in depression and anxiety during the COVID-19 pandemic in the Republic of Ireland are best explained by psychosocial factors of COVID-19 related anxiety, trait neuroticism, lower sleep quality, higher levels of loneliness, greater somatic problems, and, in the case of depression, increases in childcaring responsibilities and lower trait consciousnesses. Implications of these findings for public health policy and interventions are discussed.

Modelling the complexity of pandemic-related lifestyle quality change and mental health: an analysis of a nationally representative UK general population sample.

PURPOSE: The COVID-19 pandemic has affected the way many individuals go about their daily lives. This study attempted to model the complexity of change in lifestyle quality as a result of the COVID-19 pandemic and its context within the UK adult population. METHODS: Data from the COVID-19 Psychological Research Consortium Study (Wave 3, July 2020; N = 1166) were utilised. A measure of COVID-19-related lifestyle change captured how individuals' lifestyle quality had been altered as a consequence of the pandemic. Exploratory factor analysis and latent profile analysis were used to identify distinct lifestyle quality change subgroups, while multinomial logistic regression analysis was employed to describe class membership. RESULTS: Five lifestyle dimensions, reflecting partner relationships, health, family and friend relations, personal and social activities, and work life, were identified by the EFA, and seven classes characterised by distinct patterns of change across these dimensions emerged from the LPA: (1) better overall (3.3%), (2) worse except partner relations (6.0%), (3) worse overall (2.5%), (4) better relationships (9.5%), (5) better except partner relations (4.3%), (6) no different (67.9%), and (7) worse partner relations only (6.5%). Predictor variables differentiated membership of classes. Notably, classes 3 and 7 were associated with poorer mental health (COVID-19 related PTSD and suicidal ideation). CONCLUSIONS: Four months into the pandemic, most individuals' lifestyle quality remained largely unaffected by the crisis. Concerningly however, a substantial minority (15%) experienced worsened lifestyles compared to before the pandemic. In particular, a pronounced deterioration in partner relations seemed to constitute the more severe pandemic-related lifestyle change.

Death anxiety, self-worth, and exposure to human donor remains: A longitudinal study of Irish medical students.

This study aimed to investigate the relationship between death anxiety levels at pre-exposure to human donor remains, post-exposure self-worth, and post-exposure death anxiety levels, among a sample of Irish medical students. A multi-wave prospective study was conducted, using questionnaires administered at six time-points. Path analysis was used to investigate the effect of pre-exposure death anxiety levels and post-exposure self-worth on post-exposure death anxiety levels. Baseline death anxiety was found to predict post-exposure death anxiety. Furthermore, self-worth at one month of exposure was found to mediate the relationship between pre-exposure death anxiety levels and death anxiety levels at six months.

How is loneliness related to anxiety and depression: A population-based network analysis in the early lockdown period.

High risk of mental health problems is associated with loneliness resulting from social distancing measures and "lockdowns" that have been imposed globally due to the COVID-19 pandemic. This study explores the interconnectedness of loneliness, anxiety and depression on a symptom level using network analysis. A representative sample of participants (N = 1041), who were of at least 18 years of age, was recruited from the Republic of Ireland (ROI). Loneliness, anxiety and depression were assessed using validated instruments. Network analysis was used to identify the network structure of loneliness, anxiety and depression. Loneliness was found to be largely isolated from anxiety and depression nodes in the network. Anxiety and depression were largely interconnected. "Trouble relaxing," "feeling bad about oneself" and "not being able to stop or control worrying" were suggested as the most influential nodes of the network. Despite the expectation that loneliness would be implicated more robustly in the anxiety and depression network of symptoms, the results suggest loneliness as a distinct construct that is not interwoven with anxiety and depression.

How does the COVID-19 pandemic impact on population mental health? A network analysis of COVID influences on depression, anxiety and traumatic stress in the UK population.

BACKGROUND: The coronavirus disease 2019 (COVID-19) emergency has led to numerous attempts to assess the impact of the pandemic on population mental health. The findings indicate an increase in depression and anxiety but have been limited by the lack of specificity about which aspects of the pandemic (e.g. viral exposure or economic threats) have led to adverse mental health outcomes. METHODS: Network analyses were conducted on data from wave 1 (N = 2025, recruited 23 March-28 March 2020) and wave 2 (N = 1406, recontacts 22 April-1 May 2020) of the COVID-19 Psychological Research Consortium Study, an online longitudinal survey of a representative sample of the UK adult population. Our models included depression (PHQ-9), generalized anxiety (GAD-7) and trauma symptoms (ITQ); and measures of COVID-specific anxiety, exposure to the virus in self and close others, as well as economic loss due to the pandemic. RESULTS: A mixed graphical model at wave 1 identified a potential pathway from economic adversity to anxiety symptoms via COVID-specific anxiety. There was no association between viral exposure and symptoms. Ising network models using clinical cut-offs for symptom scores at each wave yielded similar findings, with the exception of a modest effect of viral exposure on trauma symptoms at wave 1 only. Anxiety and depression symptoms formed separate clusters at wave 1 but not wave 2. CONCLUSIONS: The psychological impact of the pandemic evolved in the early phase of lockdown. COVID-related anxiety may represent the mechanism through which economic consequences of the pandemic are associated with psychiatric symptoms.

What do we mean by individual capacity strengthening for primary health care in low- and middle-income countries? A systematic scoping review to improve conceptual clarity.

BACKGROUND: Capacity strengthening of primary health care workers is widely used as a means to strengthen health service delivery, particularly in low- and middle-income countries. Despite the widespread recognition of the importance of capacity strengthening to improve access to quality health care, how the term 'capacity strengthening' is both used and measured varies substantially across the literature. This scoping review sought to identify the most common domains of individual capacity strengthening, as well as their most common forms of measurement, to generate a better understanding of what is meant by the term 'capacity strengthening' for primary health care workers. METHODS: Six electronic databases were searched for studies published between January 2000 and October 2020. A total of 4474 articles were screened at title and abstract phase and 323 full-text articles were reviewed. 55 articles were ultimately identified for inclusion, covering various geographic settings and health topics. RESULTS: Capacity strengthening is predominantly conceptualised in relation to knowledge and skills, as either sole domains of capacity, or used in combination with other domains including self-efficacy, practices, ability, and competencies. Capacity strengthening is primarily measured using pre- and post-tests, practical evaluations, and observation. These occur along study-specific indicators, though some pre-existing, validated tools are also used. CONCLUSION: The concept of capacity strengthening for primary health care workers reflected across a number of relevant frameworks and theories differs from what is commonly seen in practice. A framework of individual capacity strengthening across intra-personal, inter-personal, and technical domains is proposed, as an initial step towards building a common consensus of individual capacity strengthening for future work.

Determinants of safety climate at primary care level in Ghana, Malawi and Uganda: a cross-sectional study across 138 selected primary healthcare facilities.

BACKGROUND: Safety climate is an essential component of achieving Universal Health Coverage, with several organisational, unit or team-level, and individual health worker factors identified as influencing safety climate. Few studies however, have investigated how these factors contribute to safety climate within health care settings in low- and middle-income countries (LMICs). The current study examines the relationship between key organisational, unit and individual-level factors and safety climate across primary health care centres in Ghana, Malawi and Uganda. METHODS: A cross-sectional, self-administered survey was conducted across 138 primary health care facilities in nine districts across Uganda, Ghana and Malawi. In total, 760 primary health workers completed the questionnaire. The relationships between individual (sex, job satisfaction), unit (teamwork climate, supportive supervision), organisational-level (district managerial support) and safety climate were tested using structural equation modelling (SEM) procedures. Post hoc analyses were also carried out to explore these relationships within each country. RESULTS: Our model including all countries explained 55% of the variance in safety climate. In this model, safety climate was most strongly associated with teamwork (ß = 0.56, p < 0.001), supportive supervision (ß = 0.34, p < 0.001), and district managerial support (ß = 0.29, p < 0.001). In Ghana, safety climate was positively associated with job satisfaction (ß = 0.30, p < 0.05), teamwork (ß = 0.46, p < 0.001), and supportive supervision (ß = 0.21, p < 0.05), whereby the model explained 43% of the variance in safety climate. In Uganda, the total variance explained by the model was 64%, with teamwork (ß = 0.56, p < 0.001), supportive supervision (ß = 0.43, p < 0.001), and perceived district managerial support (ß = 0.35, p < 0.001) all found to be positively associated with climate. In Malawi, the total variance explained by the model was 63%, with teamwork (ß = 0.39, p = 0.005) and supportive supervision (ß = 0.27, p = 0.023) significantly and positively associated with safety climate. DISCUSSION/CONCLUSIONS: Our findings highlight the importance of unit-level factors-and in specific, teamwork and supportive supervision-as particularly important contributors to perceptions of safety climate among primary health workers in LMICs. Implications for practice are discussed.

Towards identifying malnutrition among infants under 6 months: a mixed-methods study of South-Sudanese refugees in Ethiopia.

OBJECTIVES: To determine (i) whether distinct groups of infants under 6 months old (U6M) were identifiable as malnourished based on anthropometric measures and if so to determine the probability of admittance to GOAL Ethiopia's Management of At Risk Mothers and Infants (MAMI) programme based on group membership; (ii) whether there were discrepancies in admission using recognised anthropometric criteria, compared with group membership and (iii) the barriers and potential solutions to identifying malnutrition within U6M. DESIGN: Mixed-methods approaches were used, whereby data collected by GOAL Ethiopia underwent: factor mixture modelling, χ2 analysis and logistic regression analysis. Qualitative analysis was performed through coding of key informant interviews. SETTING: Data were collected in two refugee camps in Ethiopia. Key informant interviews were conducted remotely with international MAMI programmers and nutrition experts. PARTICIPANTS: Participants were 3444 South-Sudanese U6M and eleven key informants experienced in MAMI programming. RESULTS: Well-nourished and malnourished groups were identified, with notable discrepancies between group membership and MAMI programme admittance. Despite weight for age z-scores (WAZ) emerging as the most discriminant measure to identify malnutrition, admittance was most strongly associated with mid-upper arm circumference (MUAC). Misconceptions surrounding malnutrition, a dearth of evidence and issues with the current identification protocol emerged as barriers to identifying malnutrition among U6M. CONCLUSIONS: Our model suggests that WAZ is the most discriminating anthropometric measure for malnutrition in this population. However, the challenges of using WAZ should be weighed up against the more scalable, but potentially overly sensitive and less accurate use of MUAC among U6M.

Trauma, PTSD, and complex PTSD in the Republic of Ireland: prevalence, service use, comorbidity, and risk factors.

PURPOSE: This study represents the first assessment of the prevalence of trauma exposure, and Posttraumatic Stress Disorder (PTSD) and Complex PTSD (CPTSD), ever conducted in the general population of the Republic of Ireland. Additionally, prevalence of past-year mental health service use, comorbidity with major depression and generalized anxiety, and risk factors associated with PTSD and CPTSD were assessed. METHODS: A nationally representative sample of non-institutionalized Irish adults (N = 1020) completed self-report measures of trauma history, trauma-related psychopathology, mental health service use, and concurrent mental health problems. RESULTS: Lifetime exposure to one or more traumatic events was 82.3%, and 67.8% reported experiencing two or more traumatic events. Males and females significantly differed in their frequency of exposure to eight of 16 traumatic events. The past-month prevalence for PTSD was 5.0% (95% CI 3.7%, 6.3%) and 7.7% (95% CI 6.1%, 9.4%) for CPTSD. Of those who screened positive for PTSD or CPTSD, 48.6% accessed mental health care in the past year. Comorbidity with major depression and generalized anxiety was high, especially among those with CPTSD. Several unique and shared risk factors for PTSD and CPTSD were identified. CONCLUSION: Approximately one-in-eight Irish adults met diagnostic requirements for PTSD or CPTSD, and comorbidity with other disorders was high. History of interpersonal trauma and exposure to multiple types of trauma in different developmental periods were associated with CPTSD. Many individuals did not access mental health care revealing a substantial mental health treatment gap.

Measuring motivation among close-to-community health workers: developing the CTC Provider Motivational Indicator Scale across six countries.

BACKGROUND: Close-to-community (CTC) health service providers are a cost-effective and important resource in the promotion of and increasing access to health services. However, many CTC provider programmes suffer from high rates of de-motivation and attrition due to inadequate support systems. Recent literature has identified the lack of rigorous approaches towards measuring and monitoring motivation among CTC providers as an important gap. Building on scales used in previous studies, we set out to develop a short, simple-to-administer scale to monitor and measure indicators of CTC provider motivation across CTC programmes implemented in six countries: Ethiopia, Kenya, Malawi, Mozambique, Indonesia, and Bangladesh. METHODS: We used focus group discussions (n = 18) and interviews (n = 106) conducted with CTC providers across all six countries, applying thematic analysis techniques to identify key determinants of motivation across these contexts. These themes were then used to carry out a systematic search of the literature, to identify existing scales or questionnaires developed for the measurement of these themes. A composite 24-item scale was then administered to CTC providers (n = 695) across the six countries. Survey responses were subsequently randomly assigned to one of two datasets: the first for scale refinement, using exploratory techniques, and the second for factorial validation. Confirmatory factor analysis was applied to both datasets. RESULTS: Results suggest a 12-item, four-factor structure, measuring community commitment, organisational commitment, job satisfaction, and work conscientiousness as common indicators of motivation among CTC providers across the six countries. CONCLUSIONS: Consistent with previous studies, findings support the inclusion of job satisfaction, organisational commitment, and work conscientiousness within the CTC Provider Motivation Indicator Scale. In addition, findings further supported the addition of a fourth, community commitment, sub-scale. Practical applications of the revised scale, including how it can be applied to monitor motivation levels within CTC provider programming, are discussed.

Posttraumatic Stress Symptoms and Associated Comorbidity During the COVID-19 Pandemic in Ireland: A Population-Based Study.

The prevalence of posttraumatic stress disorder (PTSD) as it relates to individuals' experiences of the COVID-19 pandemic has yet to be determined. This study was conducted to determine rates of COVID-19-related PTSD in the Irish general population, the level of comorbidity with depression and anxiety, and the sociodemographic risk factors associated with COVID-19-related PTSD. A nationally representative sample of adults from the general population of the Republic of Ireland (N = 1,041) completed self-report measures of all study variables. The rate of COVID-19-related PTSD was 17.7% (n = 184), 95% CI [15.35%, 19.99%], and there was a high level of comorbidity with generalized anxiety (49.5%) and depression (53.8%). Meeting the diagnostic requirement for COVID-19-related PTSD was associated with younger age, male sex, living in a city, living with children, moderate and high perceived risk of COVID-19 infection, and screening positive for anxiety or depression. Posttraumatic stress symptoms related to the COVID-19 pandemic are common in the general population. Our results show that health professionals responsible for responding to the COVID-19 pandemic should expect to routinely encounter symptoms and concerns related to posttraumatic stress.

Identifying the Key Risk Factors for Adverse Psychological Outcomes Among Police Officers: A Systematic Literature Review.

It is well established that police work is highly stressful; however, a paucity of evidence limits our knowledge and understanding of the factors that may lead to, compromise, and/or compound psychological distress for this unique population. To address this lack, the current systematic review was conducted to reveal the individual, organizational, and operational risk factors that have been identified in the research literature to date and their associations with depression, anxiety, posttraumatic stress disorder (PTSD), and burnout. We performed searches on literature published between January 2008 and January 2018 and identified a total of 20 studies that met our inclusion criteria. The results indicated that individual factors, including high levels of neuroticism, low social support, and engaging in passive or avoidant coping strategies, were associated with adverse psychological outcomes. This review identified low social support from colleagues as the most common risk factor linked to adverse psychological outcomes. Other organizational risk factors associated with such outcomes included high work demands, low resources, and low reward. This article demonstrates that individual, organizational, and operational factors all impact the negative psychological outcomes of police officers to some degree. In particular, the current review suggests that certain negative psychological outcomes are likely a result of a combination of risk factors across the three domains of risk, highlighting the necessity to observe psychological risk of police in a more comprehensive way.

Spanish Abstracts by Asociación Chilena de Estrés Traumático (ACET) Identificando los factores de riesgo claves para las consecuencias psicológicas adversas en la población policial: Una revisión sistemática de la literatura. REVISIÓN DE FACTORES DE RIESGO PSICOLÓGICO PARA LA POLICÍA Está bien establecido que el trabajo policial es altamente estresante; sin embargo, la escasez de evidencia limita nuestro conocimiento y comprensión de los factores que pueden conducir, comprometer, y/o constituir el malestar psicológico en esta población única. Para abordar esta escasez, se condujo esta revisión sistemática para revelar los factores de riesgo individuales, organizacionales y operativos que han sido identificados hasta la fecha en la literatura científica y sus asociaciones con depresión, ansiedad, trastorno de estrés postraumático (TEPT) y burnout. Realizamos una búsqueda de los artículos publicados entre Enero de 2008 a Enero de 2018 y se identificaron un total de 20 estudios que cumplían nuestros criterios de inclusión. Los resultados indicaron que los factores de riesgo individuales, incluyendo altos niveles de neuroticismo, bajo apoyo social, y engancharse en estrategias de afrontamiento pasivas o evitativas, estuvieron asociadas con resultados psicológicos adversos. Esta revisión identificó el bajo apoyo social de los colegas como el factor de riesgo más común relacionado a los resultados psicológicos adversos. Otros factores de riesgo organizacional asociados a tales resultados incluyeron alta demanda laboral, pocos recursos y baja gratificación. Este artículo demuestra que los factores individuales, organizacionales y operacionales impactan los resultados psicológicos negativos de los oficiales de policía en algún grado. En particular, la revisión actual sugiere que ciertos resultados psicológicos negativos son probablemente el resultado de una combinación de factores de riesgo en los tres dominios de riesgo, enfatizando la necesidad de observar el riesgo psicológico de los policías en una forma más integral.

Quality not quantity: loneliness subtypes, psychological trauma, and mental health in the US adult population.

PURPOSE: Loneliness is a recognised public-health concern that is traditionally regarded as a unidimensional construct. Theories of loneliness predict the existence of subtypes of loneliness. In this study, latent class analysis (LCA) was used to test for the presence of loneliness subtypes and to examine their association with multiple mental health variables. METHODS: A nationally representative sample of US adults (N = 1839) completed the De Jong Gierveld Loneliness Scale, along with self-report measures of childhood and adulthood trauma, psychological wellbeing, major depression, and generalized anxiety. RESULTS: When treated as a unidimensional construct, 17.1% of US adults aged 18-70 were classified as lonely. However, the LCA results identified four loneliness classes which varied quantitatively and qualitatively: 'low' (52.8%), 'social' (8.2%), 'emotional' (26.6%), and 'social and emotional' (12.4%) loneliness. The 'social and emotional' class were characterised by the highest levels of psychological distress, followed by the 'emotional' class. The 'social' loneliness class had similar mental health scores as the 'low' loneliness class. Childhood and adulthood trauma were independently related to the most distressed loneliness classes. CONCLUSIONS: Current findings provide support for the presence of subtypes of loneliness and show that they have unique associations with mental health status. Recognition of these subtypes of loneliness revealed that the number of US adults aged 18-70 experiencing loneliness was twice as high as what was estimated when loneliness was conceptualized as a unidimensional construct. The perceived quality, not the quantity, of interpersonal connections was associated with poor mental health.

Can the REBT theory explain loneliness? Theoretical and clinical applications.

Loneliness is a common psychological experience affecting a significant minority of the general population. Loneliness may in part be related to the existence of dysfunctional cognitive evaluations. To date, however, loneliness has yet to be explicitly assessed within a cognitive-behavioural theoretical framework. The current study sought to determine the association between negative cognitions, within the context of Rational Emotive Behaviour Therapy (REBT), and the experience of loneliness. A multinational sample of university students (n = 397) completed self-report assessments of rational and irrational beliefs, and loneliness. Structural equation modelling results found that the REBT model of psychopathology, and the REBT model of psychological health, provided satisfactory representations of loneliness, explaining 36% and 23% of variance in loneliness, respectively. Several dysfunctional ("Demandingness", "Catastrophising" and "Self-Downing" beliefs) and functional ("Preferences" and "Self-Acceptance" beliefs) cognitions were directly and indirectly associated with loneliness. These results highlight that cognitions and loneliness are meaningfully related, and indicate that cognitive-behavioural models may be useful in understanding loneliness. More specifically, current results suggest that REBT may offer a viable psychotherapeutic approach to treating loneliness.