Is daily-life stress reactivity a measure of stress recovery? An investigation of laboratory and daily-life stress

Typical measures of laboratory reactivity (i.e. difference between control and stress) and recovery (i.e. difference between stress and post-stress) were compared with a conventional measure of daily-life reactivity, best known as event-related stress. Fifty-three healthy individuals between 19 and 35 years of age took part in a laboratory session where stress was induced using the repeated Montreal Imaging Stress Task and 8 days of experience sampling method. Measures of negative affect, heart rate (HR), HR variability, and skin conductance level were collected. Findings show no strong associations between laboratory and daily life measures with the exception of laboratory affective recovery and daily life reactivity. Findings and their implications are discussed.</p

Psycho-social factors associated with mental resilience in the Corona lockdown.

The SARS-CoV-2 pandemic is not only a threat to physical health but is also having severe impacts on mental health. Although increases in stress-related symptomatology and other adverse psycho-social outcomes, as well as their most important risk factors have been described, hardly anything is known about potential protective factors. Resilience refers to the maintenance of mental health despite adversity. To gain mechanistic insights about the relationship between described psycho-social resilience factors and resilience specifically in the current crisis, we assessed resilience factors, exposure to Corona crisis-specific and general stressors, as well as internalizing symptoms in a cross-sectional online survey conducted in 24 languages during the most intense phase of the lockdown in Europe (22 March to 19 April) in a convenience sample of N = 15,970 adults. Resilience, as an outcome, was conceptualized as good mental health despite stressor exposure and measured as the inverse residual between actual and predicted symptom total score. Preregistered hypotheses (osf.io/r6btn) were tested with multiple regression models and mediation analyses. Results confirmed our primary hypothesis that positive appraisal style (PAS) is positively associated with resilience (p < 0.0001). The resilience factor PAS also partly mediated the positive association between perceived social support and resilience, and its association with resilience was in turn partly mediated by the ability to easily recover from stress (both p < 0.0001). In comparison with other resilience factors, good stress response recovery and positive appraisal specifically of the consequences of the Corona crisis were the strongest factors. Preregistered exploratory subgroup analyses (osf.io/thka9) showed that all tested resilience factors generalize across major socio-demographic categories. This research identifies modifiable protective factors that can be targeted by public mental health efforts in this and in future pandemics

The interplay of gender, parental behaviors, and child maltreatment in relation to psychopathic traits

Many studies have reported an effect of childhood maltreatment and parenting behavior with the future development of psychopathic traits. However, there is a limited amount of research on parenting behavior and adult psychopathic traits as possible identifiers of childhood maltreatment. The aim of this study is three-fold (1) identify specific parenting behaviors and adult psychopathic traits that predict forms of childhood maltreatment, (2) explore gender differences, and (3) expand on other studies on psychopathy by focusing on a representative sample of the community. There are significant associations between recalled childhood maltreatment and parenting behavior, and psychopathic traits. Parental rejection was the most recurrent predictor of childhood maltreatment with a significant positive relation to almost all its forms. Paternal overprotection was positively associated with sexual abuse, while the opposite was true for maternal overprotection. Psychopathic traits displayed in adulthood were also strong indicators of childhood maltreatment; females with high levels of boldness were more likely to have experienced sexual abuse in childhood, and those high in disinhibition were more likely to have experienced physical neglect and sexual abuse. While males were generally higher in terms of psychopathic traits, females reported more childhood abuse and negative parental behaviors. These findings provide support for using parenting behavior and psychopathic traits as markers of childhood maltreatment.status: publishe

Exploring social media use as a composite construct to understand its relation to mental health: A pilot study on adolescents

© 2018 Elsevier Ltd Background: Adolescents are spending more and more time on social media and studying how this is associated to their mental health has become an important focus of research. However, most studies have studied social media use in general and have overlooked the variance in social media activity. That is, the differences in activities within social media. This is a pilot study that sets out to understand whether it is relevant to explore social media as a composite measure while accounting for gender differences. Methods: A survey was distributed to parents (N = 72) with a teen between 13 and 16 years of age measuring mental health (i.e. SDQ, and CIU), and social media behavior. Results: Findings show that various social media activities are differently related to mental health. Socializing, online shopping, and following people one is not familiar with were significantly related to conduct problems. Likewise, playing games, and posting content, specifically videos online were significantly associated with compulsive Internet use. However, no significant gender differences were found in the association between social media activities and mental health. Conclusions: This study provides evidence that social media should be studied as a composite measure rather than a single measure so that we may have a better understanding of how specific social media activities relate differently to health. Findings and suggestions for future studies are discussed.status: publishe

Designing daily-life research combining experience sampling method with parallel data

BACKGROUND: Ambulatory monitoring is gaining popularity in mental and somatic health care to capture an individual's wellbeing or treatment course in daily-life. Experience sampling method collects subjective time-series data of patients' experiences, behavior, and context. At the same time, digital devices allow for less intrusive collection of more objective time-series data with higher sampling frequencies and for prolonged sampling periods. We refer to these data as parallel data. Combining these two data types holds the promise to revolutionize health care. However, existing ambulatory monitoring guidelines are too specific to each data type, and lack overall directions on how to effectively combine them. METHODS: Literature and expert opinions were integrated to formulate relevant guiding principles. RESULTS: Experience sampling and parallel data must be approached as one holistic time series right from the start, at the study design stage. The fluctuation pattern and volatility of the different variables of interest must be well understood to ensure that these data are compatible. Data have to be collected and operationalized in a manner that the minimal common denominator is able to answer the research question with regard to temporal and disease severity resolution. Furthermore, recommendations are provided for device selection, data management, and analysis. Open science practices are also highlighted throughout. Finally, we provide a practical checklist with the delineated considerations and an open-source example demonstrating how to apply it. CONCLUSIONS: The provided considerations aim to structure and support researchers as they undertake the new challenges presented by this exciting multidisciplinary research field

Delayed affective recovery to daily-life stressors signals a risk for depression

Objective: The aim of this study is to investigate the time to affective recovery from daily-life stressors between healthy controls (HC) and two groups with an increased risk for developing depression: individuals with subclinical symptoms of depression (SSD), and individuals remitted from a depressive episode with residual symptoms of depression (RRS). Method: The experience sampling method (ESM) was used to measure affective recovery to daily-life stressors. Affective recovery was defined as the moment that negative affect (NA) returned to baseline level following the first stressful event of the day. We assessed two different operationalizations of the baseline: NA at the moment before the stressful event (t-1), and mean-person NA. The effect of stress intensity, and cumulative stress were also assessed. Results: Survival analyses showed significantly longer recovery times for the at risk groups in comparison to healthy individuals, albeit no significant difference was found between the two at risk groups (i.e. SSD and RRS). There was also an effect of cumulative stress, but not stress intensity on time to recovery in that cumulative stress resulted in significantly longer recovery times for all three groups. Limitations: The present study is limited by the ESM sampling design, assessments take place post-stress and therefore do not capture peak stress. Additionally, we are only able to assess patterns at the group level. Finally, there is a significant age difference between groups. Conclusion: Individuals at risk for depression display a delayed recovery to daily-life stressors when compared to healthy controls, which is not explained by differences in stress intensity or cumulative stress. Understanding what is driving this delay may help combat the development of depression

Psycho-social factors associated with mental resilience in the Corona lockdown.

The SARS-CoV-2 pandemic is not only a threat to physical health but is also having severe impacts on mental health. Although increases in stress-related symptomatology and other adverse psycho-social outcomes, as well as their most important risk factors have been described, hardly anything is known about potential protective factors. Resilience refers to the maintenance of mental health despite adversity. To gain mechanistic insights about the relationship between described psycho-social resilience factors and resilience specifically in the current crisis, we assessed resilience factors, exposure to Corona crisis-specific and general stressors, as well as internalizing symptoms in a cross-sectional online survey conducted in 24 languages during the most intense phase of the lockdown in Europe (22 March to 19 April) in a convenience sample of N = 15,970 adults. Resilience, as an outcome, was conceptualized as good mental health despite stressor exposure and measured as the inverse residual between actual and predicted symptom total score. Preregistered hypotheses (osf.io/r6btn) were tested with multiple regression models and mediation analyses. Results confirmed our primary hypothesis that positive appraisal style (PAS) is positively associated with resilience (p < 0.0001). The resilience factor PAS also partly mediated the positive association between perceived social support and resilience, and its association with resilience was in turn partly mediated by the ability to easily recover from stress (both p < 0.0001). In comparison with other resilience factors, good stress response recovery and positive appraisal specifically of the consequences of the Corona crisis were the strongest factors. Preregistered exploratory subgroup analyses (osf.io/thka9) showed that all tested resilience factors generalize across major socio-demographic categories. This research identifies modifiable protective factors that can be targeted by public mental health efforts in this and in future pandemics