Predicting transitions between longitudinal classes of post-traumatic stress disorder, adjustment disorder and well-being during the COVID-19 pandemic:protocol of a latent transition model in a general Dutch sample

BACKGROUND: A growing body of literature shows profound effects of the COVID-19 pandemic on mental health, among which increased rates of post-traumatic stress disorder (PTSD) and adjustment disorder (AD). However, current research efforts have largely been unilateral, focusing on psychopathology and not including well-being, and are dominated by examining average psychopathology levels or on disorder absence/presence, thereby ignoring individual differences in mental health. Knowledge on individual differences, as depicted by latent subgroups, in the full spectrum of mental health may provide valuable insights in how individuals transition between health states and factors that predict transitioning from resilient to symptomatic classes. Our aim is to (1) identify longitudinal classes (ie, subgroups of individuals) based on indicators of PTSD, AD and well-being in response to the pandemic and (2) examine predictors of transitioning between these subgroups. METHODS AND ANALYSIS: We will conduct a three-wave longitudinal online survey study of n≥2000 adults from the general Dutch population. The first measurement occasion takes place 6 months after the start of the pandemic, followed by two follow-up measurements with 6 months of intervals. Latent transition analysis will be used for data analysis. ETHICS AND DISSEMINATION: Ethical approval has been obtained from four Dutch universities. Longitudinal study designs are vital to monitor mental health (and predictors thereof) in the pandemic to develop preventive and curative mental health interventions. This study is carried out by researchers who are board members of the Dutch Society for Traumatic Stress Studies and is part of a pan-European study (initiated by the European Society for Traumatic Stress Studies) examining the impact of the pandemic in 11 countries. Results will be published in peer-reviewed journals and disseminated at conferences, via newsletters, and media appearance among (psychotrauma) professionals and the general public

Mourning together: on social support for bereaved people during the COVID-19 pandemic

Background In the Netherlands over 9,400 people have died from the consequences of the COVID-19 virus. Aim To describe possible consequences of the COVID-19 pandemia and the measures to control the spread of the virus, for the experiences of loss and mourning and to describe what is needed to prevent grief problems. Method Discussion of selected literature and consideration. Results The COVID-19 measures have an impact on the experiences of loss and mourning of bereaved people. The possibilities to appeal to social relationships have been limited due to the isolation measurements. Therefore, bereaved people might have a heightened risk to develop grief problems. Even though social support is of crucial interest in the processing of a loss, grief can also interfere with the possibilities to use social relationships. Research demonstrated a negative relationship between grief and social problem-solving skills. Thereby bereaved people face an additional challenge, to develop new goals, roles and attachment relationships under the current COVID-19 measurements of social isolation. Conclusion In times of COVID-19 society should pay more attention to experiences of loss and grief in order to activate social support for people bereaved during the COVID-19 pandemic. Tijdschrift voor Psychiatrie 63(2021)1, 13-15

Samen rouwen: Over sociale steun aan nabestaanden gedurende de COVID-19 pandemie

Background In the Netherlands over 9,400 people have died from the consequences of the COVID-19 virus. Aim To describe possible consequences of the COVID-19 pandemia and the measures to control the spread of the virus, for the experiences of loss and mourning and to describe what is needed to prevent grief problems. Method Discussion of selected literature and consideration. Results The COVID-19 measures have an impact on the experiences of loss and mourning of bereaved people. The possibilities to appeal to social relationships have been limited due to the isolation measurements. Therefore, bereaved people might have a heightened risk to develop grief problems. Even though social support is of crucial interest in the processing of a loss, grief can also interfere with the possibilities to use social relationships. Research demonstrated a negative relationship between grief and social problem-solving skills. Thereby bereaved people face an additional challenge, to develop new goals, roles and attachment relationships under the current COVID-19 measurements of social isolation. Conclusion In times of COVID-19 society should pay more attention to experiences of loss and grief in order to activate social support for people bereaved during the COVID-19 pandemic. Tijdschrift voor Psychiatrie 63(2021)1, 13-15

Chemical fingerprints of emotional body odor

Contains fulltext : 221516.pdf (publisher's version ) (Open Access)Chemical communication is common among animals. In humans, the chemical basis of social communication has remained a black box, despite psychological and neural research showing distinctive physiological, behavioral, and neural consequences of body odors emitted during emotional states like fear and happiness. We used a multidisciplinary approach to examine whether molecular cues could be associated with an emotional state in the emitter. Our research revealed that the volatile molecules transmitting different emotions to perceivers also have objectively different chemical properties. Chemical analysis of underarm sweat collected from the same donors in fearful, happy, and emotionally neutral states was conducted using untargeted two-dimensional (GC×GC) coupled with time of flight (ToF) MS-based profiling. Based on the multivariate statistical analyses, we find that the pattern of chemical volatiles (N = 1655 peaks) associated with fearful state is clearly different from that associated with (pleasant) neutral state. Happy sweat is also significantly different from the other states, chemically, but shows a bipolar pattern of overlap with fearful as well as neutral state. Candidate chemical classes associated with emotional and neutral sweat have been identified, specifically, linear aldehydes, ketones, esters, and cyclic molecules (5 rings). This research constitutes a first step toward identifying the chemical fingerprints of emotion.25 p

Predicting transitions between longitudinal classes of post-traumatic stress disorder, adjustment disorder and well-being during the COVID-19 pandemic: protocol of a latent transition model in a general Dutch sample

BACKGROUND: A growing body of literature shows profound effects of the COVID-19 pandemic on mental health, among which increased rates of post-traumatic stress disorder (PTSD) and adjustment disorder (AD). However, current research efforts have largely been unilateral, focusing on psychopathology and not including well-being, and are dominated by examining average psychopathology levels or on disorder absence/presence, thereby ignoring individual differences in mental health. Knowledge on individual differences, as depicted by latent subgroups, in the full spectrum of mental health may provide valuable insights in how individuals transition between health states and factors that predict transitioning from resilient to symptomatic classes. Our aim is to (1) identify longitudinal classes (ie, subgroups of individuals) based on indicators of PTSD, AD and well-being in response to the pandemic and (2) examine predictors of transitioning between these subgroups. METHODS AND ANALYSIS: We will conduct a three-wave longitudinal online survey study of n≥2000 adults from the general Dutch population. The first measurement occasion takes place 6 months after the start of the pandemic, followed by two follow-up measurements with 6 months of intervals. Latent transition analysis will be used for data analysis. ETHICS AND DISSEMINATION: Ethical approval has been obtained from four Dutch universities. Longitudinal study designs are vital to monitor mental health (and predictors thereof) in the pandemic to develop preventive and curative mental health interventions. This study is carried out by researchers who are board members of the Dutch Society for Traumatic Stress Studies and is part of a pan-European study (initiated by the European Society for Traumatic Stress Studies) examining the impact of the pandemic in 11 countries. Results will be published in peer-reviewed journals and disseminated at conferences, via newsletters, and media appearance among (psychotrauma) professionals and the general public

Predicting transitions between longitudinal classes of post-traumatic stress disorder, adjustment disorder and well-being during the COVID-19 pandemic: protocol of a latent transition model in a general Dutch sample

BACKGROUND: A growing body of literature shows profound effects of the COVID-19 pandemic on mental health, among which increased rates of post-traumatic stress disorder (PTSD) and adjustment disorder (AD). However, current research efforts have largely been unilateral, focusing on psychopathology and not including well-being, and are dominated by examining average psychopathology levels or on disorder absence/presence, thereby ignoring individual differences in mental health. Knowledge on individual differences, as depicted by latent subgroups, in the full spectrum of mental health may provide valuable insights in how individuals transition between health states and factors that predict transitioning from resilient to symptomatic classes. Our aim is to (1) identify longitudinal classes (ie, subgroups of individuals) based on indicators of PTSD, AD and well-being in response to the pandemic and (2) examine predictors of transitioning between these subgroups. METHODS AND ANALYSIS: We will conduct a three-wave longitudinal online survey study of n≥2000 adults from the general Dutch population. The first measurement occasion takes place 6 months after the start of the pandemic, followed by two follow-up measurements with 6 months of intervals. Latent transition analysis will be used for data analysis. ETHICS AND DISSEMINATION: Ethical approval has been obtained from four Dutch universities. Longitudinal study designs are vital to monitor mental health (and predictors thereof) in the pandemic to develop preventive and curative mental health interventions. This study is carried out by researchers who are board members of the Dutch Society for Traumatic Stress Studies and is part of a pan-European study (initiated by the European Society for Traumatic Stress Studies) examining the impact of the pandemic in 11 countries. Results will be published in peer-reviewed journals and disseminated at conferences, via newsletters, and media appearance among (psychotrauma) professionals and the general public

Complex Posttraumatic Stress Disorder in Patients Exposed to Emotional Neglect and Traumatic Events: Latent Class Analysis

The inclusion of a complex posttraumatic stress disorder (CPTSD) diagnosis in the 11th revision of the International Classification of Diseases reflects growing evidence that a subgroup of individuals with PTSD also suffer from disturbances in emotion regulation, interpersonal skills, and self-concept, which together are termed “disturbances in self-organization” (DSO). Although CPTSD is assumed to result from exposure to complex traumatic events, emotional neglect may be an important contributor. This study investigated the presence of CPTSD, defined by endorsement of PTSD and DSO symptoms in a clinical postwar generation sample. The sample consisted of 218 patients who had been exposed to emotional neglect in childhood, a subgroup of whom had also been exposed to potentially traumatic events. Using items from the Harvard Trauma Questionnaire and the Brief Symptom Inventory, a latent class analysis revealed two classes: high endorsement of almost all CPTSD symptoms (n = 83; 38.1%) and low endorsement of all CPTSD symptoms (n = 135; 61.9%). Contrary to our hypothesis, no DSO-only class was found. The R3step method showed gender and number of traumatic events to be significant predictors of class membership. Compared to the low endorsement class, individuals in the CPTSD class were more likely to be female, p =.013, and to report a higher number of traumatic experiences,

Complex Posttraumatic Stress Disorder in Patients Exposed to Emotional Neglect and Traumatic Events: Latent Class Analysis

The inclusion of a complex posttraumatic stress disorder (CPTSD) diagnosis in the 11th revision of the International Classification of Diseases reflects growing evidence that a subgroup of individuals with PTSD also suffer from disturbances in emotion regulation, interpersonal skills, and self-concept, which together are termed “disturbances in self-organization” (DSO). Although CPTSD is assumed to result from exposure to complex traumatic events, emotional neglect may be an important contributor. This study investigated the presence of CPTSD, defined by endorsement of PTSD and DSO symptoms in a clinical postwar generation sample. The sample consisted of 218 patients who had been exposed to emotional neglect in childhood, a subgroup of whom had also been exposed to potentially traumatic events. Using items from the Harvard Trauma Questionnaire and the Brief Symptom Inventory, a latent class analysis revealed two classes: high endorsement of almost all CPTSD symptoms (n = 83; 38.1%) and low endorsement of all CPTSD symptoms (n = 135; 61.9%). Contrary to our hypothesis, no DSO-only class was found. The R3step method showed gender and number of traumatic events to be significant predictors of class membership. Compared to the low endorsement class, individuals in the CPTSD class were more likely to be female, p =.013, and to report a higher number of traumatic experiences,

Chemical fingerprints of emotional body odor

Chemical communication is common among animals. In humans, the chemical basis of social communication has remained a black box, despite psychological and neural research showing distinctive physiological, behavioral, and neural consequences of body odors emitted during emotional states like fear and happiness. We used a multidisciplinary approach to examine whether molecular cues could be associated with an emotional state in the emitter. Our research revealed that the volatile molecules transmitting different emotions to perceivers also have objectively different chemical properties. Chemical analysis of underarm sweat collected from the same donors in fearful, happy, and emotionally neutral states was conducted using untargeted two-dimensional (GC×GC) coupled with time of flight (ToF) MS-based profiling. Based on the multivariate statistical analyses, we find that the pattern of chemical volatiles (N = 1655 peaks) associated with fearful state is clearly different from that associated with (pleasant) neutral state. Happy sweat is also significantly different from the other states, chemically, but shows a bipolar pattern of overlap with fearful as well as neutral state. Candidate chemical classes associated with emotional and neutral sweat have been identified, specifically, linear aldehydes, ketones, esters, and cyclic molecules (5 rings). This research constitutes a first step toward identifying the chemical fingerprints of emotion