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Purpose: Social factors are associated with mental health and wellbeing. However, few studies have examined genetic and environmental influences on social factors themselves, limiting current understanding of influences on aspects of the social environment. Most studies which have identified links between social factors and mental health are also limited by the possible influence of unmeasured genetic and environmental confounding. In this study, we investigated the genetic and environmental underpinnings of multiple social factors (relationship satisfaction, loneliness, attachment, trust, relationship disruptions), and their associations with life satisfaction measured concurrently and six years later, after accounting for shared genetic and environmental confounding., Methods: Data from a population-based sample of adult twins (N = 1987) and two measurement timepoints were used for the primary analyses. We used multivariate Cholesky models to estimate genetic and environmental influences across five social factors. Subsequently, we conducted co-twin control analyses to examine associations between social factors and wellbeing after controlling for shared genetic and environmental confounding., Results: Heritability estimates for the social factors ranged from 24 to 42%. Genetic correlations across social factors were substantial, indicative of considerable genetic overlap. Associations between wellbeing and relationship satisfaction, loneliness, anxious and avoidant attachment, trust, and disruptions in relationships in the past year were attenuated in co-twin control analyses but remained statistically significant. Relationship satisfaction, loneliness, and attachment avoidance were also associated with wellbeing measured six years later in estimates which controlled for shared genetic and environmental confounding., Conclusion: Our findings provide evidence that multiple social factors are associated with wellbeing after accounting for potential confounding by shared genetic and/or environmental factors. These findings highlight the importance of multiple aspects of the social environment for wellbeing in older adulthood. Future studies should examine the directionality in associations between social factors and mental health and assess these relationships beyond older adulthood., Competing Interests: Declarations. Conflict of interest: The authors have no relevant financial or non-financial interests to disclose., (© 2024. The Author(s).)

Objective: To assess the psychometric properties, i.e., reliability and construct validity of the 16-item Decisional Conflict Scale (DCS) and sub-scales in women with perinatal depressive symptoms in Norway and Portugal., Methods: We included 415 women in Portugal and 163 in Norway (≥18 years) who were pregnant or had given birth in the last 12 months and presenting with active depressive symptoms. Women replied to the original DCS items. We conducted confirmatory factor analysis, estimated internal consistency reliability, and examined factorial invariance across country, perinatal status, and treatment uptake., Results: The DCS factor model had good fit to the data, with all items loading significantly on their respective factor (.585 to .958). There was configural invariance of the DCS across countries, treatment, and perinatal status. The internal consistency of the total DCS (Cronbach's alpha) was .958, and for the subscales it ranged from .798 to .947., Conclusions: The DCS is a valid and reliable measure of the decisional conflict in women with perinatal depressive symptoms in Portugal and Norway., Practice Implications: Measuring the extent of decisional conflict regarding treatment and the effect of multiple interventions towards its reduction, is critical to facilitate the decision-making process of women with perinatal mental illness., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.)

Purpose: To examine the association between partner support for women's antidepressant treatment and depressive symptoms in pregnant women, those planning pregnancy, and mothers who ever used antidepressants., Methods: We included 334 women (n=44 planners, n=182 pregnant, n=108 mothers) ever treated with antidepressants within the HEALTHx2 study, a web-based cross-sectional study conducted across Norway in June 2020 to June 2021. The Edinburgh Postnatal Depression Scale and two questions of the Patient Health Questionnaire measured depressive symptoms, by degree of severity and for depressed mood, anxiety, and anhedonia sub-dimensions. Partner support was measured using one item from the Antidepressant Compliance Questionnaire. Association was estimated via unadjusted and adjusted linear and logistic regression models., Results: Being unsupported by the partner was associated with increased odds of reporting moderate-to-very-severe depressive symptoms in mothers (adjusted odds ratio (aOR), 3.57; 95% confidence interval (CI), 1.04-12.19) and pregnant women (aOR, 3.26; 95% CI, 0.95-11.14), relative to being supported. Pregnant women (adjusted mean difference (β), 0.76; 95% CI, 0.14-1.38) and mothers (β, 0.93; 95% CI, 0.23-1.64) with no support for their antidepressant treatment presented greater symptoms of anhedonia; for women planning pregnancy, this association emerged in relation to anxiety symptoms (β among non-users of antidepressant, 2.58; 95% CI, 1.04-4.13)., Conclusions: Partner support for women's antidepressant treatment may play a key role in depressive symptoms severity and the subtypes of anhedonia and anxiety, among women planning pregnancy, pregnant women, and mothers. This highlights the importance of partner inclusion in the complex decision-making process for antidepressant treatment around the time of pregnancy., (© 2024. The Author(s).)

Aims: Norway and Sweden had different early pandemic responses that may have impacted mental health management. The aim was to assess the impact of the early COVID-19 pandemic on mental health-related care., Methods: We used national registries in Norway and Sweden (1 January 2018-31 December 2020) to define 2 cohorts: (i) general adult population; and (ii) mental health adult population. Interrupted times series regression analyses evaluated step and slope changes compared to prepandemic levels for monthly rates of medications (antidepressants, antipsychotics, anxiolytics, hypnotics/sedatives, lithium, opioid analgesics, psychostimulants), hospitalizations (for anxiety, bipolar, depressive/mood, eating and schizophrenia/delusional disorders) and specialist outpatient visits., Results: In Norway, immediate reductions occurred in the general population for medications (-12% antidepressants to -7% hypnotics/sedatives) except for antipsychotics; and hospitalizations (-33% anxiety disorders to -17% bipolar disorders). Increasing slope change occurred for all medications except psychostimulants (+1.1%/month hypnotics/sedatives to +1.7%/month antidepressants); and hospitalization for anxiety disorders (+5.5%/month), depressive/mood disorders (+1.7%/month) and schizophrenia/delusional disorders (+2%/month). In Sweden, immediate reductions occurred for antidepressants (-7%) and opioids (-10%) and depressive/mood disorder hospitalizations (-11%) only with increasing slope change in psychostimulant prescribing of (0.9%/month). In contrast to Norway, increasing slope changes occurred in specialist outpatient visits for depressive/mood disorders, eating disorders and schizophrenia/delusional disorders (+1.5, +1.9 and +2.3%/month, respectively). Similar changes occurred in the pre-existing mental health cohorts., Conclusion: Differences in early COVID-19 policy response may have contributed to differences in adult mental healthcare provision in Norway and Sweden., (© 2024 The Authors. British Journal of Clinical Pharmacology published by John Wiley & Sons Ltd on behalf of British Pharmacological Society.)

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).

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., Competing Interests: Declaration of competing interest None., (Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.)

The widespread comorbidity observed across psychiatric disorders may be the result of processes such as assortative mating, gene-environment correlation, or selection into population studies. Between-family analyses of comorbidity are subject to these sources of bias, whereas within-family analyses are not. Because of Mendelian inheritance, alleles are randomly assigned within families, conditional on parental alleles. We exploit this variation to compare the structure of comorbidity across broad psychiatric polygenic scores when calculated either between-family (child polygenic scores) or within-family (child polygenic scores regressed on parental polygenic scores) in over 25,000 genotyped parent-offspring trios from the Norwegian Mother Father and Child Cohort study (MoBa). We fitted a series of factor models to the between- and within-family data, which consisted of a single genetic p-factor and a varying number of uncorrelated subfactors. The best-fitting model was identical for between- and within-family analyses and included three subfactors capturing variants associated with neurodevelopment, psychosis, and constraint, in addition to the genetic p-factor. Partner genetic correlations, indicating assortative mating, were not present for the genetic p-factor, but were substantial for the psychosis (b = 0.081;95% CI [0.038,0.124]) and constraint (b = 0.257;95% CI [0.075,0.439]) subfactors. When average factor levels for MoBa mothers and fathers were compared to a population mean of zero we found evidence of sex-specific participation bias, which has implications for the generalizability of findings from cohort studies. Our results demonstrate the power of the within-family design for better understanding the mechanisms driving psychiatric comorbidity and their consequences on population health., (© 2024. The Author(s).)

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., (© 2023. The Author(s).)

Background: Previous studies have found that stressful life events (SLEs) are associated with an increased risk of adult depression. However, many studies are observational in nature and limited by methodological issues, such as potential confounding by genetic factors. Genetically informative research, such as the co-twin control design, can strengthen causal inference in observational studies. Discrete-time survival analysis has several benefits and multilevel survival analysis can incorporate frailty terms (random effects) to estimate the components of the biometric model. In the current study, we investigated associations between SLEs and depression risk in a population-based twin sample ( N = 2299)., Methods: A co-twin control design was used to investigate the influence of the occurrence of SLEs on depression risk. The co-twin control design involves comparing patterns of associations in the full sample and within dizygotic (DZ) and monozygotic twins (MZ). Associations were modelled using discrete-time survival analysis with biometric frailty terms. Data from two time points were used in the analyses. Mean age at Wave 1 was 28 years and mean age at Wave 2 was 38 years., Results: SLE occurrence was associated with increased depression risk. Co-twin control analyses indicated that this association was at least in part due to the causal influence of SLE exposure on depression risk for event occurrence across all SLEs and for violent SLEs. A minor proportion of the total genetic risk of depression reflected genetic effects related to SLEs., Conclusions: The results support previous research in implicating SLEs as important risk factors with probable causal influence on depression risk.

Within-family studies typically assess indirect genetic effects of parents on children, however social support theory points to a critical role of partners and children on women's depression. To address this research gap and account for the high heterogeneity of depression, we calculated a general psychiatric factor using eleven major psychiatric polygenic scores (polygenic p), in up to 25,000 parent-offspring trios from the Norwegian Mother, Father and Child Cohort Study (MoBa). Multilevel modeling of trio polygenic p was used to distinguish direct and indirect genetic effects on mothers depression during pregnancy (gestational age 17 and 30 weeks), infancy (6 months, 18 months) and early childhood (3 years, 5 years, and 8 years). We found mothers polygenic p predicts their depression symptoms (b = 0.092; 95 % CI [0.087,0.098]), outperforming prediction using a single major depressive disorder polygenic score (b = 0.070, 95 % CI [0.066,0.075]). Jointly modeling trio polygenic p revealed indirect genetic effects of fathers (b = 0.022, 95 % CI [0.014,0.030]) and children (b = 0.021, 95 % CI [0.010,0.037]) on mothers' depression. Our results support the generalizability of polygenic effects across mental health and highlight the role of close family members on women's depression., Competing Interests: Conflict of interest We declare no competing conflicts of interests in relation to the submitted work., (Copyright © 2023 The Authors. Published by Elsevier B.V. All rights reserved.)

Background: Perinatal depression is the most undertreated clinical condition during the perinatal period. Knowledge about women's decision-making in seeking and receiving treatment is scarce., Aims: To investigate and compare treatment option uptake in perinatal women with depressive symptoms in Portugal and Norway, and to identify sociodemographic and health-related factors associated with treatment uptake., Method: Participants were women resident in Portugal or Norway (≥18 years) who were pregnant or had given birth in the past 12 months, who presented with active depressive symptoms (Edinburgh Postnatal Depression Scale score ≥10). In an electronic questionnaire, women reported treatment received and sociodemographic and health-related factors., Results: The sample included 416 women from Portugal and 169 from Norway, of which 79.8% and 53.9%, respectively, were not receiving any treatment. Most Portuguese women were receiving psychological treatment, either alone (45.2%) or combined with pharmacological treatment (21.4%). Most Norwegian participants were receiving only pharmacological (36.5%) or combined treatment (35.4%). Compared with the Portuguese sample, a higher proportion of Norwegian women started treatment before pregnancy ( P < 0.001). In Portugal, lower depressive symptoms and self-reported psychopathology were significantly associated with higher likelihood of receiving treatment., Conclusions: We found that, in both Norway and Portugal, a substantial number of perinatal women with depressive symptoms do not receive any treatment. Differences exist regarding the chosen treatment option and timing of treatment initiation in the two countries. Only mental health-related factors were associated with treatment uptake for perinatal depression in Portugal. Our results highlight the importance of implementing strategies aimed to improve help-seeking behaviours.

Economic inequality is associated with preferences for smaller, immediate gains over larger, delayed ones. Such temporal discounting may feed into rising global inequality, yet it is unclear whether it is a function of choice preferences or norms, or rather the absence of sufficient resources for immediate needs. It is also not clear whether these reflect true differences in choice patterns between income groups. We tested temporal discounting and five intertemporal choice anomalies using local currencies and value standards in 61 countries (N = 13,629). Across a diverse sample, we found consistent, robust rates of choice anomalies. Lower-income groups were not significantly different, but economic inequality and broader financial circumstances were clearly correlated with population choice patterns., (© 2022. The Author(s).)

Objectives: To investigate the perceived risk of psychotropic and mental illness exposures (1) during pregnancy or (2) while breastfeeding on offspring neurodevelopment, and factors associated with this perception in women with past/current mental illness., Design: Cross-sectional, web-based study., Setting: Nationwide in Norway, June 2020-June 2021., Participants: Women aged 18-55 years who were pregnant, recent mothers or planning a pregnancy, and had been offered antidepressants in the last 5 years., Primary and Secondary Outcome Measures: Perceived risk of prenatal and breastmilk exposure to psychotropic medications and maternal mental illness on offspring neurodevelopmental outcomes., Results: We included 448 women: 234 pregnant, 146 mothers and 68 planning a pregnancy. On a 0-10 scale, women perceived antidepressants as least harmful both (1) in pregnancy (mean score 4.2, 95% CI 3.6 to 4.8) and (2) while breastfeeding (mean score 3.8, 95% CI 3.3 to 4.4), relative to antipsychotics, anxiety/sleeping medication or antiepileptics (mean score range: 6.3-6.5 during pregnancy, 5.5-6.2 while breastfeeding). Many participants were unfamiliar with psychotropics other than antidepressants. The perceived risk of mental illness exposure exceeded that of antidepressants (mean score range 5.6-5.9) in both exposure periods. Using general linear models, factors associated with greater antidepressant risk perception in both exposure periods included having lower education, non-Norwegian native language, and employment status (range mean score difference (β): 2.07-6.07). For pregnant women and mothers, there was an inverse association between perceived risk and the perceived antidepressant effectiveness in both exposure periods (range of β: -0.18 to -0.25)., Conclusions: In women with past/current mental illness, the perceived risk of antidepressant exposure on child neurodevelopment was lower than that for maternal mental illness. Other psychotropic medications were perceived as more harmful. As medication risk perception influences the decision-making regarding treatment of mental illness, pre- and pregnancy counselling should target women with characteristics associated with higher perceived risk., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Pervading global narratives suggest that political polarization is increasing, yet the accuracy of such group meta-perceptions has been drawn into question. A recent US study suggests that these beliefs are inaccurate and drive polarized beliefs about out-groups. However, it also found that informing people of inaccuracies reduces those negative beliefs. In this work, we explore whether these results generalize to other countries. To achieve this, we replicate two of the original experiments with 10,207 participants across 26 countries. We focus on local group divisions, which we refer to as fault lines. We find broad generalizability for both inaccurate meta-perceptions and reduced negative motive attribution through a simple disclosure intervention. We conclude that inaccurate and negative group meta-perceptions are exhibited in myriad contexts and that informing individuals of their misperceptions can yield positive benefits for intergroup relations. Such generalizability highlights a robust phenomenon with implications for political discourse worldwide., (© 2021. The Author(s), under exclusive licence to Springer Nature Limited.)

Eyewitness evidence often plays a critical role in decisions made in the criminal justice system. To evaluate eyewitness testimony accurately, judges must be aware of factors that can contaminate this type of evidence. In 2008, a survey of judges in Norway revealed a lack of awareness of several factors that affect eyewitness testimony. In the current study, a survey was administered to Norwegian judges (N=98) to evaluate their knowledge of factors that affect eyewitness testimony. Results showed that judges' overall knowledge scores were similar to those reported in 2008, but substantial increases and decreases in knowledge were observed for specific factors. Additional analyses indicated that increased uncertainty regarding some eyewitness factors led to a decline in accuracy when compared to responses observed in 2008. The current study provides an updated assessment of judges' knowledge of eyewitness factors and highlights the need for more comprehensive training for judges regarding these factors., (© 2020 The Australian and New Zealand Association of Psychiatry, Psychology and Law.)

Prospect theory is among the most influential frameworks in behavioural science, specifically in research on decision-making under risk. Kahneman and Tversky's 1979 study tested financial choices under risk, concluding that such judgements deviate significantly from the assumptions of expected utility theory, which had remarkable impacts on science, policy and industry. Though substantial evidence supports prospect theory, many presumed canonical theories have drawn scrutiny for recent replication failures. In response, we directly test the original methods in a multinational study (n = 4,098 participants, 19 countries, 13 languages), adjusting only for current and local currencies while requiring all participants to respond to all items. The results replicated for 94% of items, with some attenuation. Twelve of 13 theoretical contrasts replicated, with 100% replication in some countries. Heterogeneity between countries and intra-individual variation highlight meaningful avenues for future theorizing and applications. We conclude that the empirical foundations for prospect theory replicate beyond any reasonable thresholds.