Psychometric properties of the Decisional Conflict Scale in a sample of perinatal women with depressive symptoms: A study in Portugal and Norway.

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.

Partner support for women's antidepressant treatment and its association with depressive symptoms in pregnant women, mothers, and women planning pregnancy.

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 (ß), 0.76; 95% CI, 0.14-1.38) and mothers (ß, 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 (ß 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.

Treatment options and their uptake among women with symptoms of perinatal depression: exploratory study in Norway and Portugal.

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.

Stressful life events increase the risk of major depressive episodes: A population-based twin study.

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.

Perceived risk of neurodevelopmental outcomes in offspring related to psychotropic and mental illness exposures in pregnancy and breastfeeding: a cross-sectional survey of women with past or current mental illness.

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 (ß): 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 ß: -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.

The general fault in our fault lines.

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.

Replicating patterns of prospect theory for decision under risk.

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.

Identification of time-varying intrinsic and reflex joint stiffness.

We have developed a time-varying, parallel- cascade system identification algorithm to separate joint stiffness into intrinsic and reflex components at each point in time throughout rapid movements. The components are identified using an iterative algorithm in which intrinsic and reflex dynamics are identified using separate time-varying (TV) techniques based on ensemble methods. An ensemble of input-output records having the same TV behavior is acquired and used to identify the system dynamics as impulse response functions at time increments corresponding to the sampling interval. Simulation studies showed that the time-varying, parallel-cascade algorithm performed well under realistic conditions with 99.9% VAF between simulated and predicted torque. To evaluate the performance of the algorithm under realistic conditions we applied it to an ensemble of experimental data acquired under stationary conditions. Results demonstrated that the TV estimates converged to those of the established time-invariant algorithm and allowed us to determine how variance of the TV estimates varied with the number of realizations in the ensemble.

Time-varying parallel-cascade system identification of ankle stiffness from ensemble data.

Measurement of joint dynamic stiffness during time-varying conditions is crucial to understand the role of joint mechanics during movement. Stiffness can be separated into intrinsic and reflex components, and are modeled as linear dynamic and Hammerstein systems, respectively. Time-varying identification methods using ensemble data have been developed previously for both pathways and were tested separately on simulated data. In this study, these algorithms were integrated into the time-varying, parallel-cascade identification method. Ankle dynamics were modeled during a ramp input and simulated impulse response functions (IRFs) were generated. Gaussian white noise was low-pass filtered and was convolved with the simulated systems over 500 realizations. The ensemble data was used to evaluate the new identification technique. The mean variances accounted for (VAFs) between the true and identified IRFs for the intrinsic and reflex pathways were 99.9% and 97.7%, respectively, demonstrating the technique's strong ability to predict the system's dynamics.