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 = 1,839) 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

Patterns of comorbidity associated with ICD-11 PTSD among older adults in the United States

Little research has been conducted on posttraumatic stress disorder (PTSD) comorbidity among older adults regarding the description of PTSD in the 11th version of the International Classification of Diseases (ICD-11). This study sought to provide evidence of a dimensional model of psychopathology using the ‘Hierarchical Taxonomy of Psychopathology’ (HiTOP) model as a theoretical framework to explain patterns of ICD-11 PTSD comorbidity. Distinct patterns of ICD-11 PTSD comorbidity among a nationally representative sample (n = 530) of adults aged 60 years and older from the United States were examined using latent class analysis (LCA). Covariates associated with comorbidity classes were assessed through multinomial logistic regression. ICD-11 PTSD was highly comorbid with other psychopathologies. LCA results favoured a two-class solution. Class 1 (71.7%) was characterised by moderate probabilities for major depressive disorder and alcohol use disorder; Class 2 (28.3%) was characterised by a moderate-high probability of general psychopathology and was associated with lower social support, spousal/partner physical abuse, and history of attempted suicide. PTSD was highly comorbid with other disorders among older adults. Distinct patterns of PTSD comorbidity exist among this cohort and these findings can aid clinicians and researchers in understanding and predicting maladaptive responses to trauma and associated psychopathology

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’, ‘Catastrophizing’, 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

Brain health : risk, resilience and reserve research

Research on brain health is imperative as we consider increasing life expectancy and the increasing prevalence of cognitive decline with advancing age. Risk and protective lifestyle factors driving brain health and reduced risk of cognitive decline have been identified (Livingston et al., 2020), but we have yet to fully understand all factors and contexts that contribute to observed variability in brain health outcomes (Boyle et al., 2018; Stern et al., 2020). This Research Topic, Brain Health: Risk, Resilience, and Reserve, provides insight into current trends and perspectives on the promotion of brain health across the lifespan, with a helpful focus on how research might be translated into recommendations for practice. The articles included in this Research Topic advance our understanding on topics such as cognitive reserve, brain reserve, resilience, and brain health

Posttraumatic stress disorder, complex PTSD and subtypes of loneliness among older adults

Abstract Objectives: Research examining the relationship between loneliness and Complex Posttraumatic Stress Disorder (CPTSD) is scarce, particularly among older adults. CPTSD includes the core symptoms of PTSD along with additional symptoms reflecting “disturbances in self‐organisation” (DSO). This study examined the cross‐sectional relationships between loneliness (emotional and social loneliness) and CPTSD symptoms (i.e., PTSD and DSO symptoms) in older adults. Methods: Structural equation modelling was used to examine these relationships in a nationally representative sample of US adults aged 60–70 years (n = 456). Results: Controlling for covariates, emotional loneliness was associated with PTSD (β = 0.31) and DSO (β = 0.57) symptoms whereas social loneliness was only associated with DSO symptoms (β = 0.25). The model explained 35.0% of the variance in PTSD symptoms and 71.3% in DSO symptoms. Conclusion: These findings have important implications for treating and understanding PTSD/CPTSD and their corre�lates among older adults

Confirmatory Factor Analysis Comparing Incentivized Experiments With Self‑Report Methods to Elicit Adolescent Smoking and Vaping Social Norms

Many adolescent smoking prevention programmes target social norms, typically evaluated with self-report, susceptible to social desirability bias. An alternative approach with little application in public health are experimental norms elicitation methods. Using the Mechanisms of Networks and Norms Influence on Smoking in Schools (MECHANISMS) study baseline data, from 12–13 year old school pupils (n = 1656) in Northern Ireland and Bogotá (Colombia), we compare two methods of measuring injunctive and descriptive smoking and vaping norms: (1) incentivized experiments, using monetary payments to elicit norms; (2) self-report scales. Confirmatory factor analysis (CFA) examined whether the methods measured the same construct. Paths from exposures (country, sex, personality) to social norms, and associations of norms with (self-reported and objectively measured) smoking behavior/intentions were inspected in another structural model. Second-order CFA showed that latent variables representing experimental and survey norms measurements were measuring the same underlying construct of anti-smoking/vaping norms (Comparative Fit Index = 0.958, Tucker Lewis Index = 0.951, Root Mean Square Error of Approximation = 0.030, Standardized Root Mean Square Residual = 0.034). Adding covariates into a structural model showed significant paths from country to norms (second-order anti-smoking/vaping norms latent variable: standardized factor loading [β] = 0.30, standard error [SE] = 0.09, p \u3c 0.001), and associations of norms with self-reported anti-smoking behavior (β = 0.40, SE = 0.04, p \u3c 0.001), self-reported anti-smoking intentions (β = 0.42, SE = 0.06, p \u3c 0.001), and objectively measured smoking behavior (β = − 0.20, SE = 0.06, p = 0.001). This paper offers evidence for the construct validity of behavioral economic methods of eliciting adolescent smoking and vaping norms. These methods seem to index the same underlying phenomena as commonly-used self-report scales

Mental health of adults in Ireland during the first year of the COVID-19 pandemic: Results from a nationally representative, longitudinal study

No abstract available

Mental health of adults in Ireland during the first year of the COVID-19 pandemic: Results from a nationally representative, longitudinal study

No abstract available