What Emotion Regulation Strategies are Associated with a General Psychopathology Factor (p) in Adolescence? Identifying Possible Transdiagnostic Targets for Intervention.

Mental health problems in adolescence are increasing and there is an urgent call for transdiagnostic interventions, as most adolescents experience problems across multiple domains. Research has identified a general psychopathology factor (p) capturing the shared variance across mental health problems. In parallel, there is empirical support for the transdiagnostic nature of emotion regulation. In the current study, we explore the associations between p and emotion regulation strategies to identify which strategies may be promising targets for intervention. Data from the population-based Youth and Mental Health Study (YAMHS) (N = 2,464, mean age 13.7 years, SD 0.6) was used. The fit of different structural models of emotion regulation and psychopathology were compared, and latent factors from the final models were included in multiple regression analyses to explore the associations between p and emotion regulation strategies. A bifactor exploratory structural equation model (B-ESEM) showed best fit for modelling p. For emotion regulation strategies, an ESEM model showed best fit, including Rumination, Reactive Impulsivity, Distraction, Non-Acceptance, Problem Solving, Social Support, and Proactive Behavior. Results showed that a higher score on p was predicted by higher scores on the emotion regulation strategies Rumination (ß = .38, p < .001) and Reactive Impulsivity (ß = .35, p < .001), and lower scores on Problem Solving (ß = -.15, p < .001). The results indicate that Rumination and Reactive Impulsivity have the strongest associations with p and may be promising targets for mental health interventions for adolescents.

Tackling social disconnection: an umbrella review of RCT-based interventions targeting social isolation and loneliness.

BACKGROUND: Social isolation and loneliness are urgent public health concerns associated with negative physical and mental health outcomes. Understanding effective remedies is crucial in addressing these problems. This umbrella review aimed to synthesize and critically appraise scientific evidence on the effectiveness of social isolation and loneliness interventions overall and across subgroups. We focused on systematic reviews (SRs) of randomized controlled trials (RCTs). METHODS: We searched seven databases (June 2022 and updated June 2023) and supplemented the search with grey literature and reference screening to identify SRs published since 2017. Screening, data extraction, and quality assessment using the AMSTAR2 tool were conducted independently by author pairs, with disagreements resolved through discussion. RESULTS: We included 29 SRs, 16 with meta-analysis and 13 with narrative synthesis. All SRs focused on loneliness, with 12 additionally examining social isolation. Four SRs focused on young people, 11 on all ages, and 14 on older adults. The most frequently examined intervention types were social (social contact, social support), psychological (therapy, psychoeducation, social skills training), and digital (e.g., computer use and online support). Meta-analyses indicated small-to-moderate beneficial effects, while narrative synthesis demonstrated mixed or no effect. Social interventions for social isolation and psychological interventions for loneliness were the most promising. However, caution is warranted due to the effects' small magnitude, significant heterogeneity, and the variable quality of SRs. Digital and other interventions showed mixed or no effect; however, caution is advised in interpreting these results due to the highly diverse nature of the interventions studied. CONCLUSIONS: This overview of SRs shows small to moderate effectiveness of social interventions in reducing social isolation and psychological ones in tackling loneliness. Further rigorously conducted RCTs and SRs are needed to guide policy decisions regarding the implementation of efficacious and scalable interventions. Evaluation should focus on both preventive structural interventions and tailored mitigating strategies that address specific types and causes of loneliness.

Stability and change in maternal wellbeing and illbeing from pregnancy to three years postpartum.

PURPOSE: Motherhood affects women's mental health, encompassing aspects of both wellbeing and illbeing. This study investigated stability and change in wellbeing (i.e., relationship satisfaction and positive affect) and illbeing (i.e., depressive and anxiety symptoms) from pregnancy to three years postpartum. We further investigated the mutual and dynamic relations between these constructs over time and the role of genetic propensities in their time-invariant stability. DATA AND METHODS: This four-wave longitudinal study included 83,124 women from the Norwegian Mother, Father, and Child Cohort Study (MoBa) linked to the Medical Birth Registry of Norway. Data were collected during pregnancy (30 weeks) and at 6, 18 and 36 months postpartum. Wellbeing and illbeing were based on the Relationship Satisfaction Scale, the Differential Emotions Scale and Hopkins Symptoms Checklist-8. Genetics were measured by the wellbeing spectrum polygenic index. Analyses were based on random intercept cross-lagged panel models using R. RESULTS: All four outcomes showed high stability and were mutually interconnected over time, with abundant cross-lagged predictions. The period of greatest instability was from pregnancy to 6 months postpartum, followed by increasing stability. Prenatal relationship satisfaction played a crucial role in maternal mental health postpartum. Women's genetic propensity to wellbeing contributed to time-invariant stability of all four constructs. CONCLUSION: Understanding the mutual relationship between different aspects of wellbeing and illbeing allows for identifying potential targets for health promotion interventions. Time-invariant stability was partially explained by genetics. Maternal wellbeing and illbeing develop in an interdependent way from pregnancy to 36 months postpartum.

A Web-Based Intervention Using "Five Ways to Wellbeing" to Promote Well-Being and Mental Health: Randomized Controlled Trial.

BACKGROUND: Compromised well-being and mental health problems pose a significant threat to individuals and societies worldwide. Resource-intensive psychological treatments alone cannot alleviate this burden. There is a need for low-cost, evidence-based interventions aimed at preventing illness and promoting well-being. Five activity domains appear to be linked with well-being promotion across populations: connecting with others, being active, taking notice, learning, and being generous/giving. The activities mentioned are part of the Five Ways to Wellbeing framework and the web-based intervention Five Ways to Wellbeing for All (5waysA). OBJECTIVE: This randomized controlled trial aims to test the effects of the 5waysA intervention, a web-based, low-cost, well-being-promoting measure targeting the general population. To date, the Five Ways to Wellbeing framework has not been tested in this specific format. The 5waysA intervention comprises 2 webinars and SMS text message reminders delivered over a 10-week period. METHODS: In 2021, a total of 969 study participants from various regions across Norway were openly recruited through a web page. They were then randomly assigned to either an intervention group or 1 of 2 waiting list control groups, namely, active or passive. Self-reported life satisfaction (Satisfaction With Life Scale [SWLS]), flourishing (Flourishing Scale [FS]), positive emotions, anxiety, and depression symptoms (Hopkins Symptom Checklist-8 [HSCL-8]) were assessed before the intervention, at 4 weeks into the intervention, and 1-2 weeks after the intervention (over 10 weeks). Data analysis was conducted using linear mixed (multilevel) models. RESULTS: After 10 weeks, 453 participants (171 in the intervention group and 282 in the waiting list control group) were assessed on outcome variables, with a dropout rate of 53.2% (516/969). Results revealed a significantly greater increase in the intervention group compared with the controls for SWLS (b=0.13, 95% CI 0.03-0.23; P=.001), FS (b=0.19, 95% CI 0.08-0.30; P=.001), positive emotions (b=0.43, 95% CI 0.27-0.60; P<.001), and these factors combined into a global well-being measure (b=0.28, CI 0.16-0.39; P<.001). Effect sizes (Cohen d) for the well-being outcomes ranged from 0.30 to 0.49. In addition, a significant decrease in anxiety and depressive symptoms was observed (b=-0.17, 95% CI -0.30 to -0.04; P=.001) with an effect size (Cohen d) of -0.20. CONCLUSIONS: The findings suggest that the web-based 5waysA intervention could serve as an effective approach for enhancing well-being and mental health within the general population. This study offers individuals, policy makers, and local stakeholders an accessible and potentially cost-effective well-being intervention that could be easily implemented. TRIAL REGISTRATION: ClinicalTrials.gov NCT04784871; https://clinicaltrials.gov/study/NCT04784871.

The double-edged sword of becoming a caregiver: dynamic impact on four dimensions of well-being in Norway.

BACKGROUND: Becoming a caregiver can be a transformative journey with profound, multifaceted implications for well-being. However, existing research predominantly emphasizes the negative aspects of caregiving, paying less attention to the positive sides. This study aims to explore the impact of transitioning into a caregiving role on various well-being indicators, such as negative hedonic, positive hedonic, eudaimonic, and social well-being. METHODS: We use Norwegian panel data (2019-2021) and employ a combination of nearest-neighbour matching and a difference-in-differences approach to analyse well-being trajectories among new caregivers (n = 304) and non-caregivers (n = 7822). We assess ten items capturing the dimensions of negative hedonic (anxiousness, sadness, and worriedness), positive hedonic (happiness and life satisfaction), eudaimonic (contributing to others' happiness, engagement, and meaning), and social (strong social relations and loneliness) well-being. RESULTS: Our results show a general increase in negative hedonic well-being and a decline in positive hedonic well-being for new caregivers. These impacts are larger for caregivers providing daily care, compared to those providing weekly and monthly care, and for those providing care inside rather than outside their own household. We observe only minor differences regarding gender and age. Interestingly, we also notice neutral or beneficial changes for eudaimonic aspects of well-being; of note, caregivers generally experience an increased sense of contributing to others' happiness. CONCLUSION: Our study reveals that adopting a caregiving role often leads to significant psychosocial challenges, especially in intensive caregiving situations. However, it also uncovers potential positive influences on eudaimonic aspects of well-being. Future research should explore underlying explanatory mechanisms, to inform strategies that enhance caregivers' well-being.

Stressful life events exhibit complex patterns of associations with depressive symptoms in two population-based samples using network analysis.

BACKGROUND: Stressful life events (SLEs) constitute key risk factors for depression. However, previous studies examining associations between SLEs and depression have been limited by focusing on single events, combining events into broad categories, and/or ignoring interrelationships between events in statistical analyses. Network analysis comprises a set of statistical methods well-suited for assessing relationships between multiple variables and can help surpass several limitations of previous studies. METHODS: We applied network analysis using mixed graphical models combining two large-scale population-based samples and >34,600 randomly sampled adults to investigate the associations between SLEs and current depressive symptoms in the general population. RESULTS: Numerous SLEs were uniquely associated with specific symptoms. Strong pairwise links were observed between SLEs during the past year and individual symptoms, e.g., between having experienced illness or injury and sleeping problems, having been degraded or humiliated and feeling blue, and between financial problems and hopelessness and being worried and anxious. Several SLEs, such as financial problems, sexual abuse, and having been degraded or humiliated, were associated with symptoms across more than one timepoint. More recent SLEs were generally more strongly associated with depressive symptoms. Several life events were strongly interrelated, such as multiple forms of abuse, and financial problems, unemployment, divorce, and serious illness or injury. LIMITATIONS: Limitations include a retrospective SLE measure, cross-sectional data, a brief self-report measure of depressive symptoms, and possible attrition bias in the sample. CONCLUSIONS: Our findings may have implications for public health efforts seeking to improve population mental health.

Do Municipal Contexts Matter for Adolescent Mental Health? A Within-Municipality Analysis of Nationwide Norwegian Survey Data Across Six Years.

Despite growing concerns about substantial socio-economic differences between districts in many developed nations, limited attention has been paid to how adolescent mental health may be shaped by district characteristics. A few studies have shown that adolescent mental health is related to contextual factors such as district socio-economic status, neighborhood disorder, and quality of infrastructure. However, prior estimates may be an artifact of unmeasured differences between districts. To address these concerns, we used data from the nationwide Norwegian Ungdata surveys (N = 278,764), conducted across the years 2014 to 2019. We applied three-level hierarchical linear models to examine within-municipality associations between municipal factors and adolescent mental health in the domains of internalizing problems (i.e., depressive symptoms), externalizing problems (i.e., behavioral problems), and well-being (i.e., self-esteem), thereby accounting for all time-invariant municipality-level confounders. Our results showed that municipal-level safety, infrastructure, and youth culture are associated with adolescent mental health problems. Further, cross-level interaction models indicated gender-specific associations, with stronger associations of municipality infrastructure and community belongingness with increased self-esteem and reduced delinquent behaviors among girls than boys. Our findings highlight that municipality-level interventions may be a feasible strategy for adolescent mental health, even in a society characterized by low inequality and high redistribution.

Unveiling Adolescent Suicidality: Holistic Analysis of Protective and Risk Factors Using Multiple Machine Learning Algorithms.

Adolescent suicide attempts are on the rise, presenting a significant public health concern. Recent research aimed at improving risk assessment for adolescent suicide attempts has turned to machine learning. But no studies to date have examined the performance of stacked ensemble algorithms, which are more suitable for low-prevalence conditions. The existing machine learning-based research also lacks population-representative samples, overlooks protective factors and their interplay with risk factors, and neglects established theories on suicidal behavior in favor of purely algorithmic risk estimation. The present study overcomes these shortcomings by comparing the performance of a stacked ensemble algorithm with a diverse set of algorithms, performing a holistic item analysis to identify both risk and protective factors on a comprehensive data, and addressing the compatibility of these factors with two competing theories of suicide, namely, The Interpersonal Theory of Suicide and The Strain Theory of Suicide. A population-representative dataset of 173,664 Norwegian adolescents aged 13 to 18 years (mean = 15.14, SD = 1.58, 50.5% female) with a 4.65% rate of reported suicide attempt during the past 12 months was analyzed. Five machine learning algorithms were trained for suicide attempt risk assessment. The stacked ensemble model significantly outperformed other algorithms, achieving equal sensitivity and a specificity of 90.1%, AUC of 96.4%, and AUCPR of 67.5%. All algorithms found recent self-harm to be the most important indicator of adolescent suicide attempt. Exploratory factor analysis suggested five additional risk domains, which we labeled internalizing problems, sleep disturbance, disordered eating, lack of optimism regarding future education and career, and victimization. The identified factors provided stronger support for The Interpersonal Theory of Suicide than for The Strain Theory of Suicide. An enhancement to The Interpersonal Theory based on the risk and protective factors identified by holistic item analysis is presented.

Mental health and environmental factors in adults: A population-based network analysis.

Few studies have assessed the multifactorial nature of environmental influences on population mental health. In this large-scale, population-based study of adults, we applied network analysis to study the relationship between environmental factors and symptoms of depression, anxiety, and well-being. We estimated networks with overall mental health nodes and individual symptoms to assess both broad and fine-grained associations between environmental factors and mental health. Finally, we conducted an out-of-sample replication in an independent large-scale sample to assess the robustness of our results. Across 31,000 adults randomly sampled from the Norwegian population, we identified associations between numerous environmental characteristics and mental health. Recent discrimination and unsupportive social environments were strongly associated with lower population well-being and higher levels of mental illness symptoms, respectively. The most strongly connected variables in the networks were environmental factors, including perceived problems with crime, violence, or vandalism in the residential area, worrying about violence or threats when outside, and problems with noise or contamination at home. Substantial variation in population mental health was explained by environmental factors included in the networks. Replicability of the results was excellent and suggestive of strong robustness of the results across samples. Our findings are indicative of the importance of environmental factors, such as the social environment, housing satisfaction, and residential area characteristics, for multiple aspects of population mental health. We identify several environmental factors that represent potentially useful targets for future studies and public health efforts seeking to improve mental health in the general population. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

A cross-sectional study of the relationship between injuries and quality of life, psychological distress, sleeping problems, and global subjective health in adults from three Norwegian counties.

BACKGROUND: Studies examining associations between injuries and outcomes like quality of life and psychological distress are important to understand a broader range of possible consequences of injuries for population health. AIMS: The aim of this study was to examine associations between self-reported injury and quality of life, psychological distress, sleeping problems, and global subjective health. METHODS: The sample was drawn from the Norwegian National Population Register. Data were collected among the general adult populations in three Norwegian counties in 2019-2020 (response rate 45.3%, n = 74,030). Exposure variables were being injured during the last 12 months, cause of injury (if more than one, the most serious one), and functional impairment due to injuries. Outcome variables included measures of total quality of life, global quality of life, positive affect, negative affect, positive social relations, social capital (trust, belongingness, feeling safe), psychological distress, sleep problems, loneliness, and global subjective health. Data were analysed with General Linear Modelling in SPSS Complex. RESULTS: Reporting to have been injured once during the last 12 months was associated with slightly elevated levels of psychological distress, sleeping problems, and loneliness, and lower mean scores on quality-of-life indicators and global subjective health. Reporting being injured twice or more showed more pronounced contrasts to the reference group on the same outcomes, with Cohen's d-values (absolute numbers) ranging from 0.17 to 0.54. For having been victim to violence, d-values ranged from 0.30 to 1.01. Moderate functional impairment due to injuries was associated with less favourable scores on all outcomes (d ranging from 0.15 to 0.71). For strong functional impairment d-values ranged from 0.35 to 1.17. CONCLUSIONS: Elevated levels of distress and reduced levels of quality of life are particularly associated with multiple injuries, being victim to violence, and functional impairment due to injuries. Prospective, longitudinal studies with high quality instruments and large samples, allowing adjustment for baseline values of outcome variables, and utilization of state-of-the-art statistical techniques, would bring this research closer to examining causality.

Emerging costs in a "hidden" workforce: The longitudinal psychosocial effects of caregiving during the COVID-19 pandemic among Norwegian adults.

During COVID-19 many informal caregivers experienced increased caregiving load while access to formal and informal support systems and coping resources decreased. Little is known about the psychosocial costs of these challenges for an essential yet vulnerable and "hidden" frontline workforce. This study explores and compares changes in psychosocial well-being (psychological well-being, psychological ill-being, and loneliness) before and across up to three stages of the COVID-19 pandemic among caregivers and non-caregivers. We also examine predictors of psychosocial well-being among caregivers during the peak of the pandemic. We use longitudinal data collected online in the Norwegian Counties Public Health Survey (age: 18-92) in four counties and up to four data points (n = 14,881). Caregivers are those who provide care unpaid, continuous (≥ monthly across all time points) help to someone with health problems. Findings show that levels of psychosocial well-being first remained stable but later, during the peak stages of the pandemic, dropped markedly. Caregivers (13-15% of the samples) report lower psychosocial well-being than non-caregivers both before and during the pandemic. Caregivers seem especially vulnerable in terms of ill-being, and during the peak of the pandemic caregivers report higher net levels of worry (OR = 1.22, p < 0.01) and anxiety (OR = 1.23, p < 0.01) than non-caregivers. As expected, impacts are graver for caregivers who provide more intensive care and those reporting health problems or poor access to social support. Our study findings are valuable information for interventions to support caregivers during this and future pandemics.

Worldwide Well-Being: Simulated Twins Reveal Genetic and (Hidden) Environmental Influences.

What are the major sources of worldwide variability in subjective well-being (SWB)? Twin and family studies of SWB have found substantial heritability and strong effects from unique environments but virtually no effects from shared environments. However, extant findings are not necessarily valid at the global level. Prior studies have examined within-countries variability but did not take into account mean differences across nations. In this article, we aim to estimate the effects of genetic factors, individual environmental exposures, and shared environments for the global population. We combine a set of knowns from national well-being studies (means and standard deviations) and behavioral-genetic studies (heritability) to model a scenario of twin studies across 157 countries. For each country, we simulate data for a set of twin pairs and pool the data into a global sample. We find a worldwide heritability of 31% to 32% for SWB. Individual environmental factors explain 46% to 52% of the variance (including measurement error), and shared environments account for 16% to 23% of the global variance in SWB. Worldwide, well-being is somewhat less heritable than within nations. In contrast to previous within-countries studies, we find a notable effect of shared environments. This effect is not limited to within families but operates at a national level.

The structure of well-being: a single underlying factor with genetic and environmental influences.

PURPOSE: The structure of well-being has been debated for millennia. Dominant conceptualisations, such as the hedonic and eudaimonic models, emphasise different constituents of the well-being construct. Some previous studies have suggested that the underlying structure of well-being may consist of one or a few general well-being factors. We conducted three studies to advance knowledge on the structure of well-being comprising more than 21,500 individuals, including a genetically informative twin sample. METHODS: In Study 1, we used hierarchical exploratory factor analysis to identify well-being factors in a population-based sample of Norwegian adults. In Study 2, we used confirmatory factor analysis to examine the model fit of the identified factor model in an independent sample. In Study 3, we used biometric models to examine genetic and environmental influences on general well-being factors. RESULTS: We identified six well-being factors which all loaded on a single higher-order factor. This higher-order factor may represent a general "happiness factor", i.e. an h-factor, akin to the p-factor in psychopathology research. The identified factor model had excellent fit in an independent sample. All well-being factors showed moderate genetic and substantial non-shared environmental influence, with heritability estimates ranging from 26% to 40%. Heritability was highest for the higher-order general happiness factor. CONCLUSION: Our findings yield novel insights into the structure of well-being and genetic and environmental influences on general well-being factors, with implications for well-being and mental health research, including genetically informative studies.

Caregiving + Migrant Background = Double Jeopardy? Associations between Caregiving and Physical and Psychological Health According to Migrant Backgrounds in Norway.

Informal caregiving can have detrimental consequences for physical and psychological health, but the impacts are highly heterogenous. A largely ignored question is whether these impacts differ with migrant backgrounds, and whether caregiving and a migrant background combine to create double jeopardy. We explored these questions using large-scale data that allows stratification by sex, regional background, and types (inside vs. outside of household) of caregivers. We used cross-sectional 2021 data collected from two Norwegian counties as part of the Norwegian Counties Public Health Survey (N = 133,705, RR = 43%, age 18+). The outcomes include subjective health, mental health, and subjective well-being. The findings show that both caregiving, especially in-household caregiving, and a migrant background relate to lower physical-psychological health. In bivariate analysis, non-Western caregivers, women particularly, reported poorer mental health and subjective well-being (but not physical health) than other caregiver groups. After controlling for background characteristics, however, no interaction exists between caregiver status and migrant background status. Although the evidence does not suggest double jeopardy for migrant caregivers, caution is warranted due to the likely underrepresentation of the most vulnerable caregivers of migrant backgrounds. Continued surveillance of caregiver burden and distress among people of migrant backgrounds is critical to develop successful preventive and supportive intervention strategies for this group, yet this aim hinges on a more inclusive representation of minorities in future surveys.

Boys with overweight status lagged behind girls with overweight status in reading: evidence from mendelian randomization.

OBJECTIVES: We investigated the relationship between childhood weight status and academic achievement across sexes and different school subjects in Norway. STUDY DESIGN AND SETTING: We used data from the Norwegian Mother, Father and Child Cohort Study (MoBa), which includes genetic data (N = 13,648, 8-year-old children). We employed within-family mendelian randomization, using a body mass index (BMI) polygenic risk score as an instrument to address unobserved heterogeneity. RESULTS: Contrary to most previous findings, we observed that overweight status (including obesity) has more detrimental effects on reading achievement in boys than in girls; the test scores of boys with overweight were about a standard deviation lower than those of normal weight boys, and the negative effects on reading achievement became stronger in the later grade. CONCLUSION: Previous obesity prevention studies have mainly targeted girls, based on the assumption that the obesity penalty is greater for girls. Our findings highlight that particular attention to boys with overweight may help reduce the existing gender gap in academic achievement.

Flattening the quality of life curve? A prospective person-centred study from Norway amid COVID-19.

PURPOSE: We examined multidimensional, heterogeneous reactions to the COVID-19 pandemic and associated measures to provide further insights into the developmental processes of risk and adaptation. METHOD: We used three-wave questionnaire data from 8156 individuals participating in the Norwegian County Public Health Survey assessed 1-5 months before and three (June 2020) and nine (December 2020) months after the outbreak. Latent profile and latent transition analyses were used to identify latent quality of life (QoL) classes and multiform changes, their probabilities, and predictors. RESULTS: We identified five distinct QoL classes of varying proportions, namely Flourishing (i.e. 24-40%), Content (31-46%), Content-Symptomatic (8-10%), Languishing (14-20%), and Troubled (2-5%). Despite higher levels of negative affect and lower levels of life satisfaction and positive emotions, most individuals remained in their pre-pandemic QoL profiles. Yet, changes occurred for a meaningful proportion, with transition to a less favourable class more common than to a favourable. Between time 1 and 3, the flourishing and troubled groups decreased by 40% and 60%, while the content and languishing groups increased by 48% and 43%, respectively. Favourable pre-pandemic relational (marital status, support, interpersonal trust, and belonging), health, and economy-related status predicted significantly lower odds of belonging to the high-risk groups both pre-pandemic and during the pandemic. CONCLUSIONS: Overall, this study shows lower levels of QoL amid the COVID-19 pandemic, but substantial stability in the QoL distribution, and an overall levelling of the QoL distribution. Our findings also underscore the importance of financial, health-related, and social capital to QoL.

Covid-fatigued? A longitudinal study of Norwegian older adults' psychosocial well-being before and during early and later stages of the COVID-19 pandemic.

As the pandemic continues, many older adults are facing prolonged isolation and stress while having less access to traditional ways of coping. There is widespread concern that the situation is increasingly taking its toll on older adults' psychological and social well-being. We use linear mixed models to examine psychosocial impacts and predictors thereof among older Norwegians in early and later stages of the pandemic. Longitudinal data were collected online in the Norwegian Counties Public Health Survey right before the pandemic and in June and November-December 2020 in two counties (baseline n = 4,104; age 65-92). Outcomes include loneliness (single item, UCLA3), psychological ill-being (worried, anxious, depressed), and psychological well-being (satisfied, engaged, happy). From before to three months into the pandemic men's psychosocial well-being remained stable, whereas women's slightly declined. Five months later we observe broad and substantial declines in psychosocial well-being. These impacts disproportionately affect women (all outcomes) and single and older individuals (loneliness only) and are not moderated by educational level, urbanicity, or whether self or partner are reported "at risk" due to health problems. Pre-pandemic low social support and high psychological distress predict relatively improved psychosocial well-being. Older Norwegians seemed to manage the pandemic's early stage without clear psychosocial impacts. However, we observe notably compromised well-being during the second wave of COVID-19 in late 2020. Lessons learned about the nature and distribution of the psychosocial impacts of prolonged health-threats and social distancing provide valuable knowledge for intervention design during this and future pandemics.

Trust Buffers Against Reduced Life Satisfaction When Faced With Financial Crisis.

Background: In light of the coronavirus disease 2019 (COVID-19) pandemic and its large economic consequences, we used a three-layer nested structural model (individual, community, and country), each with a corresponding measure of income, trust, and satisfaction, to assess change in their interrelationships following a global crisis; which, in this study, is the 2008/2009 financial crisis. Methods: With multilevel techniques, we analyzed data from two waves (2006 and 2012) of the European Social Survey (ESS) in 19 countries (weighted N = 73,636) grouped according to their levels of trust. Results: In high trust countries, personal life satisfaction (LS) was not related to personal, community, or national income before or after the crisis. In contrast, in low trust countries, LS was strongly related to all three forms of income, especially after the crisis. In all country groups, personal, social, and political trust moderated their respective effects of income on LS ("the buffer hypothesis"). Political trust moderated the effects of income more strongly in low trust countries. The moderating effect of political trust increased sharply after the crisis. After the crisis, national-level factors (e.g., political trust, national income) increased their importance for LS more than the factors at the local and individual levels. However, the relative importance of all the three forms of income to LS increased after the crisis, to the detriment of trust. Conclusion: Economic crises seem to influence personal LS less in high trust countries compared with low trust countries. Hence, high trust at a national level appears to buffer the negative impact of a financial crisis on personal satisfaction. Overall, the factors at the national level increased their impact during the financial crisis. When facing a global crisis, the actions taken by institutions at the country level may, thus, become even more important than those taken before the crisis.

Introducing two types of psychological resilience with partly unique genetic and environmental sources.

Psychological resilience is indicated when individuals demonstrate good mental health despite exposure to significant stress or adversity. Good mental health may involve low levels of illbeing and/or high levels of wellbeing. There is still very limited knowledge about the potential differences between these outcomes in relation to stressors. We propose a distinction between type 1 and type 2 resilience, examine their underlying genetic and environmental architecture, and identify modifiable resilience factors. The data come from a population-based twin sample (N = 1987, mean age = 63) in the Norwegian Twin Registry. Type 1 and type 2 resilience are operationalised as the residual of anxiety/depression symptoms and life satisfaction, respectively, after lifetime cumulative adversity has been regressed out. We used biometric modelling and cotwin-control linear mixed models to estimate underlying factors and identify predictors while controlling for genetic confounding. The results support the notion of two separate, but partly overlapping types of resilience. We find heritabilities of 0.30 (type 1) and 0.24 (type 2) and a genetic correlation of 0.43. Potentially causal resilience factors include, but are not limited to, meaning in life, physical activity, positive affect and relationship satisfaction. Whereas some factors are associated with both resilience types, other factors are unique to each type.

Locked and lonely? A longitudinal assessment of loneliness before and during the COVID-19 pandemic in Norway.

AIMS: There are concerns that lockdown measures taken during the current COVID-19 pandemic lead to a rise in loneliness, especially in vulnerable groups. We explore trends in loneliness before and during the pandemic and differences across population subgroups. METHODS: Data were collected via online questionnaires in June 2020 and four to eight months prior in two Norwegian counties (N=10,740; 54% women; age 19-92 years). Baseline data come from the Norwegian Counties Public Health Survey (participation rate 46%, of which 59% took part in a COVID-19 follow-up study). RESULTS: Overall loneliness was stable or falling during the lockdown. However, some subgroups, single individuals and older women, reported slightly increased loneliness during lockdown. Interestingly, individuals with low social support and high levels of psychological distress and loneliness before the pandemic experienced decreasing loneliness during the pandemic. CONCLUSIONS: Although data limitations preclude strong conclusions, our findings suggest that, overall, Norwegians seem to have managed the lockdown without alarming increases in loneliness. It is important to provide support and to continue investigating the psychological impact of the pandemic over time and across regions differentially affected by the pandemic.