The predictive value of supervised machine learning models for insomnia symptoms through smartphone usage behavior

Introduction

Digital phenotyping can be an innovative and unobtrusive way to improve the detection of insomnia. This study explores the correlations between smartphone usage features (SUF) and insomnia symptoms and their predictive value for detecting insomnia symptoms.

Methods

In an observational study of a German convenience sample, the Insomnia Severity Index (ISI) and smartphone usage data (e.g., time the screen was active, longest time the screen was inactive in the night) for the previous 7 days were obtained. SUF (e.g., min, mean) were calculated from the smartphone usage data. Correlation analyses between the ISI and SUF were conducted. For the specification of the machine learning models (ML), 80 % of the data was allocated to training, 20 % to testing, and five-fold cross-validation was used. Six algorithms (support vector machine, XGBoost, Random Forest, k-Nearest-Neighbor, Naive Bayes, and Logistic Regressions) were specified to predict ISI scores ≥15.

Results

752 participants (51.1 % female, mean ISI = 10.23, mean age = 41.92) were included in the analyses. Small correlations between some of the SUF and insomnia symptoms were found. In the ML models, sensitivity was low, ranging from 0.05 to 0.27 in the testing subsample. Random Forest and Naive Bayes were the best-performing algorithms. Yet, their AUCs (0.57, 0.58 respectively) in the testing subsample indicated a low discrimination capacity.

Conclusions

Given the small magnitude of the correlations and low discrimination capacity of the ML models, SUFs, as measured in this study, do not appear to be sufficient for detecting insomnia symptoms. Further research is necessary to explore whether examining intra-individual variations and subpopulations or employing alternative smartphone sensors yields more promising outcomes.

Problematic social media use in childhood and adolescence

At the time of writing, about 4.59 billion people use social media with many adolescents using their social media accounts across a myriad of applications and platforms. According to recent statistics, in 2022 individuals spent an average of 151 minutes on social media each day, illustrating the global relevance of social media (Dixon, 2022a,b). One of the pressing questions, internationally, is whether social media use is harmful and/or addictive. This question is of particular importance because many teenagers - and younger adolescents - spend considerable time on these platforms, which have increasingly become an integral part of their lives. Moreover, considering lifespan development, adolescents may be particularly vulnerable to specific features and advertisements shown to them on social media platforms. Growing prevalence of poor mental health in young people has led to recent recommendations in the United States to routinely screen for anxiety in 8-18 year olds, and for depression and suicide risk for adolescents between 12-18 years of age (US Preventive Services Task Force et al., 2022 a,b) - the conditions often accompanying problematic social media use. The present work not only provides insights into the current state of the literature but provides also recommendations.

Attentional bias to threat is modulated by stimulus content: an fNIRS study

People are evolutionarily predisposed to associate threat relevant stimuli with fear or aversiveness and show an attentional bias toward threat. Attentional bias modification (ABM) has been shown to reduce threat biases, while quantitative reviews assessing the effectiveness of bias modification yielded inconsistent results. The current study examined the relationship between the training effect of attentional bias to threat and the type of threatening stimuli. Twenty-two participants performed a modified dot-probe task while undergoing functional near-infrared spectroscopy (fNIRS) imaging. Results indicated that there was a strong pattern of attentional avoidance among individuals in an animal but not human threat condition. Furthermore, findings from fNIRS confirmed that the influence from type of threatening stimulus would be modulated by cortical activation patterns, especially in the ventrolateral prefrontal cortices (vlPFC) and angular gyrus. Overall, these results suggest that stimulus-specific may play a major role in personalization of specific psychological interventions.

Examining relationships between posttraumatic stress disorder severity and types of media/technology usage

OBJECTIVE

Psychopathology, cyberpsychology, and mass media theories link psychological symptoms, such as posttraumatic stress disorder (PTSD), to increased media and technology usage (MTU). Given limited research in this area, we uniquely examined if specific MTU facets were associated with PTSD symptom severity.

METHOD

A sample of 404 socioeconomically diverse adults (Mage = 35.89; 57.4% female) was recruited from Amazon's Mechanical Turk and completed the Life Events Checklist for DSM-5, Posttraumatic Stress Disorder Checklist for DSM-5, Media and Technology Usage and Attitudes Scale, and Patient Health Questionnaire-9.

RESULTS

Hierarchical multiple regression analyses indicated that, controlling for depression severity, greater frequency of TV viewing (p = .004) and media sharing (p = .040) and greater quantity of online friendships (p = .006) were associated with greater PTSD symptom severity.

CONCLUSION

Study findings suggest that the extent of MTU behaviors (especially extent of TV use, media sharing, and online friendships) are important to examine in trauma-exposed individuals with PTSD symptoms. Results generalize to trauma-exposed community members and are considered within the context of current MTU theories. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Predicting Big Five personality traits from smartphone data: A meta-analysis on the potential of digital phenotyping

OBJECTIVE

Since the first study linking recorded smartphone variables to self-reported personality in 2011, many additional studies have been published investigating this association. In the present meta-analyses, we aimed to understand how strongly personality can be predicted via smartphone data.

METHOD

Meta-analytical calculations were used to assess the association between smartphone data and Big Five traits. Because of the lack of independence of many included studies, analyses were performed using a multilevel approach.

RESULTS

Based on data collected from 21 distinct studies, extraversion showed the largest association with the digital footprints derived from smartphone data (r = .35), while remaining traits showed smaller associations (ranging from 0.23 to 0.25). For all traits except neuroticism, moderator analyses showed that prediction performance was improved when multiple features were combined together in a single predictive model. Additionally, the strength of the prediction of extraversion was improved when call and text log data were used to perform the prediction, as opposed to other types of smartphone data CONCLUSIONS: Our synthesis reveals small-to-moderate associations between smartphone activity data and Big Five traits. The opportunities, but also dangers of the digital phenotyping of personality traits based on traces of users' activity on a smartphone data are discussed.

On fear of missing out, social networks use disorder tendencies and meaning in life

Much research has been conducted on the association between social networks use disorder tendencies (SNUD; i.e. problematic social media use) and well-being. In more detail, a meta-analysis and further research suggest an inverse association between higher SNUD tendencies and lower well-being. In existing studies on social media use and well-being, this association has often been investigated by asking participants about their life satisfaction and/or emotional well-being. A path that has only recently been used to shed further light on SNUD tendencies is the assessment of meaning in life. Against this background, the present study aimed to investigate both the search for and presence of meaning in life in the context of SNUD tendencies in 955 participants. To the best of our knowledge and beyond what has been mentioned, this study is the first to investigate the links between meaning in life variables and state/trait fear of missing out (FoMO), with FoMO being a critical variable known to be linked to the overuse of digital technologies. In a structural equation model, we observed that associations between FoMO and meaning in life variables was mediated by SNUD tendencies. Although the present study is of cross-cultural nature and cannot establish causality, it might be the case that proneness to FoMO might trigger SNUD tendencies and as a consequence, results in more search for meaning in life, while hindering presence of meaning in life.

Emotion dysregulation factors associated with problematic smartphone use severity: The mediating role of fear of missing out

Based on current theoretical frameworks, there has been increasing research examining psychopathology leading to problematic smartphone use (PSU). However, less is known about the affective and cognitive processes linked to PSU. The present study aimed at analyzing the fear of missing out (FoMO) as a mediator in the association between emotion dysregulation and PSU severity. Participants were 343 U.S. undergraduate students (64.7  % female, Mage = 19.3, SD = 2.51) who completed online measures of emotion dysregulation, FoMO and PSU. A fully latent structural equation model was analyzed. Results indicate greater impulse control dysregulation was associated with heightened PSU via increased FoMO. Our findings present evidence suggesting emotion dysregulation and FoMO as affective and cognitive mechanisms associated with PSU, with FoMO serving a mediating role between impulse control and PSU severity. Clinical implications are discussed.

Biased processing of game-related information in problematic mobile gaming users

Background and aims

The present study investigated processing bias for game-related cues in problematic mobile gamers (PMGs) under or above the threshold of conscious awareness.

Methods

In Experiment 1, all participants (20 PMGs and 23 casual players (CPs)) finished a masked visual probe task during a brief (17ms) masked exposure condition. In Experiment 2, an unmasked visual probe task was conducted by an additional forty participants (20 PMGs and 20 CPs) at two exposure durations (200 and 500ms).

Results

Results showed that PMGs, but not CPs, had an attentional bias for game-related cues which had been presented with two exposure durations (17 and 200ms).

Discussion and conclusion

In conclusion, the present study provides evidence that bias in PMGs could be observed both preconsciously and consciously. The results are discussed with reference to incentive sensitization theory and automatic action schema theory.

Is Nomophobia Problematic or Functional? A Perspective from Bifactor Structure

With the extensive use of mobile phones globally, some people engage in excessive or problematic phone use behaviors. However, little is known regarding the latent structure of problematic mobile phone use. The current study employed the Chinese versions of the Nomophobia Questionnaire, Mobile Phone Addiction Tendency Scale, and Depression-Anxiety-Stress Scale-21 to explore the latent psychological structure of problematic mobile phone use and nomophobia and their associations with mental health symptoms. Results showed that a bifactor latent model best fit nomophobia, which contained a general factor and four unique factors involving the fear of being unable to access information, losing convenience, losing contact, and losing one's Internet connection. Results also showed significant correlations among latent factors of nomophobia, problematic mobile phone use, and mental health symptoms. Through these findings, we can conclude that two problematic mobile phone use behaviors share a common factor concerning excessive use, and nomophobia has independent unique factors concerning usable function. This study clarifies the structure of problematic mobile phone use, and it implies that we can distinguish problematic mobile phone use from functional use; further investigation of problematic mobile phone use is warranted.

Early self-reported post-traumatic stress symptoms after trauma exposure and associations with diagnosis of post-traumatic stress disorder at 3 months: latent profile analysis

BACKGROUND

Trauma exposure can cause post-traumatic stress symptoms (PTSS), and persistently experiencing PTSS may lead to the development of post-traumatic stress disorder (PTSD). Research has shown that PTSS that emerged within days of trauma was a robust predictor of PTSD development.

AIMS

To investigate patterns of early stress responses to trauma and their associations with development of PTSD.

METHOD

We recruited 247 civilian trauma survivors from a local hospital emergency department. The PTSD Checklist for DSM-5 (PCL-5) and Acute Stress Disorder Scale (ASDS) were completed within 2 weeks after the traumatic event. Additionally, 3 months post-trauma 146 of these participants completed a PTSD diagnostic interview using the Clinician Administered PTSD Scale for DSM-5.

RESULTS

We first used latent profile analysis on four symptom clusters of the PCL-5 and the dissociation symptom cluster of the ASDS and determined that a four-profile model ('severe symptoms', 'moderate symptoms', 'mild symptoms', 'minimal symptoms') was optimal based on multiple fit indices. Gender was found to be predictive of profile membership. We then found a significant association between subgroup membership and PTSD diagnosis (χ2(3) = 11.85, P < 0.01, Cramer's V = 0.263). Post hoc analysis revealed that this association was driven by participants in the 'severe symptoms' profile, who had a greater likelihood of developing PTSD.

CONCLUSIONS

These findings fill the knowledge gap of identifying possible subgroups of individuals based on their PTSS severity during the early post-trauma period and investigating the relationship between subgroup membership and PTSD development, which have important implications for clinical practice.

Longitudinal PTSD symptom trajectories: Relative contributions of state anxiety, depression, and emotion dysregulation

BACKGROUND

Prospective research on the development and trajectory of PTSD symptoms after a traumatic event is crucial for assessment and early intervention. Further, examining predictors of PTSD pathology provides a better conceptualization of the temporal course of PTSD in trauma victims.

METHODS

The present study examined PTSD symptom severity in individuals presenting to the emergency department (ED) following a traumatic event. Participants (N = 147) were assessed at four timepoints: 2-weeks, 3-months, between 6 and 9 months, and 12-months after ED admission. Growth curve modeling was conducted to examine changes in PTSD symptom severity over time. Age, sex, state anxiety, trait anxiety, emotion dysregulation, depression, and trauma type (motor vehicle accident [MVA] and assault), and PTSD diagnosis were included as covariates in the model.

RESULTS

Results demonstrated that baseline PTSD symptom severity was positively associated with severity of depression and state (but not trait) anxiety, emotion dysregulation, and PTSD diagnosis. Results also revealed significant associations with PTSD symptom changes over time; greater state anxiety and depression symptoms at baseline were associated with steeper declines in PTSD symptoms over time.

LIMITATIONS

Data were collected at only four timepoints over the course of 12-months. Results may be different with more measurement points over longer periods and inclusion of pre-, peri- and post-trauma risk factors.

CONCLUSIONS

Results illustrate the relevance of assessing state anxiety, depression, and emotion dysregulation in following trauma victims for trauma-related psychopathology over the course of time to alleviate the negative impact of the same.

The relationship between adolescent emotion dysregulation and problematic technology use: Systematic review of the empirical literature

BACKGROUND AND AIMS

We aimed to systematically identify, evaluate and summarize the research on adolescent emotion dysregulation and problematic technology use. We critically appraise strengths and limitations and provide recommendations for future research.

METHODS

We followed the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and conducted a systematic review of published original reports on adolescent emotion dysregulation and problematic technology use published until March 1, 2022. A thorough search preceded the selection of studies matching prespecified criteria. Strengths and limitations of selected studies, regarding design and reporting, were identified based on current best practices.

RESULTS

39 studies met inclusion criteria. All of these studies provided on the relationship between adolescent emotion dysregulation and problematic technology use severity based on self-report data.

DISCUSSION

There was a positive correlation between adolescent emotion dysregulation and the severity of problematic technology use. Beyond this, other variables (such as anxiety, depression, self-esteem, etc.) were also closely related to emotion dysregulation and problematic technology use. Such studies are of importance to better understand cause-effect relations regarding both variables.

Hyperinsulinemia Associated Depression

Hyperinsulinemia promotes fat accumulation, causing obesity. Being an inflammatory state, obesity can induce further inflammation and is a risk factor for HPA (hypothalamic pituitary axis) dysregulation through hypercortisolism-related hyperglycemia. In another hypothesis, the sympathetic nervous system (SNS) plays a significant role in the regulation of hormone secretion from the pancreas such as an increase in catecholamines and glucagon as well as a decrease in plasma insulin levels, a disruption on SNS activity increases insulin levels, and induces glycogenolysis in the liver and lipolysis in adipose tissue during hypoglycemia. Hyperglycemia-hyperinsulinemia exacerbates inflammation and increases the oxidative stress along with regulating the levels of norepinephrine in the brain sympathetic system. Increased inflammatory cytokines have also been shown to disrupt neurotransmitter metabolism and synaptic plasticity which play a role in the development of depression via inhibiting serotonin, dopamine, melatonin, and glutamate signaling. An increased level of plasma insulin over time in the absence of exercising causes accumulation of lipid droplets in hepatocytes and striated muscles thus preventing the movement of glucose transporters shown to result in an increase in insulin resistance due to obesity and further culminates into depression. Further hyperinsulinemia-hyperglycemia condition arising due to exogenous insulin supplementation for diabetes management may also lead to physiological hyperinsulinemia associated depression. Triple therapy with SSRI, bupropion, and cognitive behavioral therapy aids in improving glycemic control, lowering fasting blood glucose, decreasing the chances of relapse, as well as decreasing cortisol levels to improve cognition and the underlying depression. Restoring the gut microbiota has also been shown to restore insulin sensitivity and reduce anxiety and depression symptoms in patients.

Exploring subtypes and correlates of internet gaming disorder severity among adolescents during COVID-19 in China: A latent class analysis

The WHO recently included Gaming Disorder as a psychiatric diagnosis. Whether there are distinct groups of adolescents who differ based on severity of gaming disorder and their relationships with other mental health and addictive behavior outcomes, including problematic smartphone use (PSU), remains unclear. The current study explored and identified subtypes of Internet Gaming Disorder (IGD) severity and estimated the association between these subtypes and other disorders. Participants completed online questionnaires assessing the severity of IGD, PSU, depression, and anxiety during COVID-19. We conducted a latent class analysis of IGD symptoms among 1,305 Chinese adolescents (mean age = 15.2; male = 58.5%) from 11 secondary schools in Macao (SAR), China. Multinomial logistic regression estimated correlates of latent class membership and PSU. A 4-class model adequately described the sample subgroups. Classes were labeled as normative gamers (30.9%), occasional gamers (42.4%), problematic gamers (22.7%), and addictive gamers (4.1%). Relative to normative gamers, PSU severity, depression, and being male were significantly higher among problematic gamers, addictive gamers, and occasional gamers. Only problematic gamers showed significant positive associations with anxiety severity compared to the other groups. The study revealed the differences in severity of gaming disorder and its association with psychopathology outcomes. Application in screening for IGD and comorbidity is discussed.

Supplementary Information

The online version contains supplementary material available at 10.1007/s12144-022-03133-8.

Nomophobia and relationships with latent classes of solitude

Recently, nomophobia (separation anxiety from mobile phone) has become a common phenomenon. The authors' main purpose was to explore latent classes of solitude behaviors and how they are related to nomophobia. Chinese versions of the Nomophobia Scale and the Solitude Behaviour Scale were used in a sample of college students (351 female and 327 male). Latent class analysis, analysis of variance, and regression analysis were employed to classify solitude behaviors and explore the relationship between solitude and nomophobia. A six-class model best fit the data (BIC = 60086.49). Significant differences among the classes were found on nomophobia. Loneliness, social avoidance, and eccentricity significantly predicted nomophobia. Solitude behaviors of college students can be divided into six latent classes. The classes with a high response preference for solitude scored higher on nomophobia, especially the fear of losing an Internet connection. Not self-determined solitude and negative-solitude had a positive effect on nomophobia.

Willingness to accept (WTA), willingness to pay (WTP), and the WTA/WTP disparity in Chinese social media platforms: Descriptive statistics and associations with personality and social media use

The amount of money individuals were willing to accept (WTA) to discontinue using prominent Chinese social media platforms (WeChat/QQ), the willingness to pay (WTP) for using these platforms, as well as WTA/WTP disparities were investigated in between-groups and within-subjects design studies to examine their existence, size, and psychological correlates in the form of personality and social media use habits. Individuals were recruited at Chinese universities in three separate surveys. For between-groups investigations, four samples were investigated: WTA and WTP samples for investigations in the context of WeChat as well as WTA and WTP samples for QQ. For within-subjects investigations, individuals completed items on WTA and WTP for WeChat/QQ, the Big Five Inventory, time spent on WeChat/QQ, and the short Bergen Social Media Addiction Scale. Two samples providing data on WeChat and QQ, respectively, were investigated. Across study designs and for both WeChat and QQ we found evidence for high WTA and comparatively low WTP scores, thus, large WTA/WTP disparities. Individual differences in the disparities were negatively associated with Openness across social media platforms. The results reveal a generally low acceptance to pay for social media use, which is important against the background of discussions on monetary payment models. Moreover, a complex interplay between individual characteristics, characteristics of the service, and how and why the service is used seems to underly WTA and the WTA/WTP disparity. Finally, methodological implications of the present results for forthcoming studies assessing valuation (WTA, WTP) in the context of social media are discussed.

To distance or to help: People's ambivalent attitude towards residents from the COVID-19 epicenter

The COVID-19 pandemic has led to drastic changes in the world. One prominent aspect has been the transformation in interpersonal relations, especially people's attitude towards residents from COVID epicenters. Using a 2-wave national study in mainland China during the pandemic outbreak, this study examined Chinese people's distancing and helping intentions towards residents from Hubei Province, the epicenter of China at that time. Results suggested that individuals had an ambivalent attitude towards denizens from the epicenter. Specifically, people felt greater risk when they perceived a higher severity of the pandemic and so were more likely to distance from epicenter residents. However, individuals showed greater empathy towards epicenter residents when they felt a higher severity of the pandemic and, therefore, were more likely to help them. Group identity moderated these effects: those with a higher identification as Chinese were more inclined to help Hubei residents, but those with a lower identification as Chinese were more prone to distance from them. The findings provide important implications in understanding interpersonal relationships during the pandemic.

The Effect of Cognitive-Affective Factors on PTSD and Alcohol Use Symptoms: An Investigation on Rumination, Suppression, and Reappraisal

Background: Posttraumatic stress disorder (PTSD) and alcohol use disorder (AUD) are mental health conditions that often co-occur. The complexity of this comorbidity is well-documented, though the role of malleable cognitive-affective factors in PTSD/AUD warrants further study. Specifically, attaining a more comprehensive understanding of the role of malleable cognitive-affective factors in individuals with symptoms of PTSD/AUD may have important implications for future research, such as in treatment-seeking individuals. Extant examinations of cognitive-affective factors have demonstrated unique associations of cognitive reappraisal, expressive suppression, and rumination in PTSD symptom severity, though these effects had yet to be explored in subgroups of comorbid PTSD/AUD.Methods: In a sample of trauma-exposed individuals (n = 334) recruited to participate through an internet labor market, we first empirically examined latent subgroups of PTSD/AUD symptoms using latent profile analysis, then included expressive suppression, cognitive reappraisal, and four dimensions in the model to elucidate their role in specific profile patterns of PTSD/AUD symptom typologies.Results: Our results support a four-class model of PTSD/AUD symptoms, with unique predictive effects of expressive suppression, problem-focused thoughts, repetitive thoughts, and anticipatory thoughts on latent profile status.Conclusions: These findings may have important implications for future research focused on examining cognitive-affective patterns as they apply to intervention techniques in treatment-seeking individuals with symptoms of PTSD/AUD.

Gaming to cope: Applying network analysis to understand the relationship between posttraumatic stress symptoms and internet gaming disorder symptoms among disaster-exposed Chinese young adults

Research has demonstrated that posttraumatic stress disorder (PTSD) is associated with internet-related problematic behaviors. However, studies have not explored the linkage between PTSD symptoms and internet gaming disorder (IGD) symptoms. The current study aimed to investigate the relationship between posttraumatic stress symptoms (PTSS) and IGD symptoms via network analysis. We conducted a cross-sectional study with 341 Chinese young adults directly exposed to a typhoon and examined the network structure of PTSS and IGD symptoms, along with bridge symptoms, to elucidate how they co-occur. Results indicated that 'avoiding external reminders' and 'anhedonia' were identified as the most central symptoms in the PTSD network, whereas 'preoccupation,' 'gaming despite harms', and 'loss of control' ranked highest on centrality in the IGD network. Two bridge symptoms emerged within the combined PTSD and IGD network model: 'concentration difficulties' and 'conflict due to gaming' from among the PTSS and IGD symptoms, respectively. These findings reveal novel associations between PTSS and IGD symptoms and provide an empirically-based hypothesis for how these two disorders may co-occur among individuals exposed to natural disasters.

From low sense of control to problematic smartphone use severity during Covid-19 outbreak: The mediating role of fear of missing out and the moderating role of repetitive negative thinking

Since the outbreak of Covid-19, the use of digital devices, especially smartphones, remarkably increased. Smartphone use belongs to one's daily routine, but can negatively impact physical and mental health, performance, and relationships if used excessively. The present study aimed to investigate potential correlates of problematic smartphone use (PSU) severity and the mechanisms underlying its development. Data of 516 smartphone users from Germany (Mage = 31.91, SDage = 12.96) were assessed via online surveys in April and May 2021. PSU severity was significantly negatively associated with sense of control. In contrast, it was significantly positively linked to fear of missing out (FoMO), repetitive negative thinking (RNT), and daily time spent on smartphone use. In a moderated mediation analysis, the negative relationship between sense of control and PSU severity was significantly mediated by FoMO. RNT significantly moderated the positive association between FoMO and PSU severity. Specifically, the higher the RNT, the stronger the relationship between FoMO and PSU. The present findings disclose potential mechanisms that could contribute to PSU. Potential ways of how to reduce PSU severity are discussed.

Anxiety sensitivity mediates relations between anxiety (but not depression) and problematic smartphone use severity, adjusting for age and sex, in Chinese adolescents early in the COVID-19 pandemic

Risk factors for problematic smartphone use (PSU) have rapidly become an important area of research due to the prevalence of smartphones and functional impairment associated with PSU. Our aim was to examine relations between established predictors of PSU (depression and anxiety) and a potential mediator of PSU (anxiety sensitivity; AS). Participants (N = 4752) from junior and senior high schools in Tianjin, China completed a web‐based survey with measures of depression, anxiety, AS, and PSU. Descriptive and inferential analyses revealed significant differences between males and females on depression severity, and between junior and senior high school students on AS and PSU severity. Results of structural equation modeling indicated that anxiety was positively associated with AS when adjusting for depression; and AS was significantly associated with greater PSU severity, adjusting for age and sex. Additionally, AS mediated relations between anxiety and PSU severity. Current findings on AS are consistent with theoretical models of problematic internet use (Interaction of Person‐Affect‐Cognition‐Execution) and previous research linking AS to other kinds of behavioral addictions (e.g., smoking, alcohol use).

Cohort profile: the Ohio Army National Guard Mental Health Initiative (OHARNG-MHI)

PURPOSE

Rates of mental disorders in the United States military have increased in recent years. National Guard members may be particularly at risk for mental disorders, given their dual role as citizen-soldiers and their increased involvement in combat deployments during recent conflicts. The Ohio Army National Guard Mental Health Initiative (OHARNG-MHI) was launched to assess the prevalence, incidence, and potential causes and consequences of mental disorders in this unique population.

METHODS

OHARNG-MHI is a decade-long dynamic cohort study that followed over 3,000 National Guard members yearly through structured telephone interviews.

RESULTS

Findings thus far have applied a pre-, peri-, post-deployment framework, identifying factors throughout the life course associated with mental disorders, including childhood events and more recent events, both during and outside of deployment. An estimated 61% of participants had at least one mental disorder in their lifetime, the majority of which initiated prior to military service. Psychiatric comorbidity was common, as were alcohol use and stressful events. Latent class growth analyses revealed four distinct trajectory paths of both posttraumatic stress and depression symptoms across four years. Only 37% of soldiers with probable past-year mental disorders accessed mental health services in the subsequent year, with substance use disorders least likely to be treated.

CONCLUSION

Strengths of this study include a large number of follow-up interviews, detailed data on both military and non-military experiences, and a clinical assessment subsample that assessed the validity of the telephone screening instruments. Findings, methods, and procedures of the study are discussed, and collaborations are welcome.

Personality Associations With WhatsApp Usage and Usage of Alternative Messaging Applications to Protect One’s Own Data

Abstract. Data protection became an increasingly important topic in today’s digital society. With regard to messaging applications, WhatsApp especially has been at the center of discussion. Despite the existence of alternative messaging applications seemingly protecting one’s data more than WhatsApp does, individuals seem to rarely use these alternatives. The present study, therefore, investigated personality differences between individuals using WhatsApp versus alternative messaging applications which are deemed more protective of one’s data. A total of N = 7,874 individuals ( n = 3,992 men) participated in the present online survey. All of them provided information on whether they used WhatsApp and/or an alternative messaging application because WhatsApp was deemed to be non-data-protective. Additionally, they completed the Big Five Inventory. Most participants (69.27%) reported using WhatsApp but no alternative messaging application due to data protection concerns. This group showed the lowest scores on Openness. The group using neither WhatsApp nor another messaging application due to data protection concerns regarding WhatsApp showed the lowest scores on Extraversion. The highest scores on Agreeableness were found in the group using WhatsApp and at least one alternative messaging application due to WhatsApp-related data protection concerns. These results reveal initial insights into who is using seemingly data protective versus non-data-protective messaging applications. Personality may not be the only factor influencing the decisions about data protective messaging application use.

On Blurry Boundaries When Defining Digital Biomarkers: How Much Biology Needs to Be in a Digital Biomarker?

Recent years have seen a rise in research where so called "digital biomarkers" represent the focal study interest. Many researchers understand that digital biomarkers describe digital footprints providing insights into healthy and pathological human (neuro-)biology. Beyond that the term digital biomarker is also used at times to describe more general concepts such as linking digital footprints to human behavior (which itself can be described as the result of a biological system). Given the lack of consensus on how to define a digital biomarker, the present short mini-review provides i) an overview on various definitions and ii) distinguishes between direct (narrow) or indirect (broad) concepts of digital biomarkers. From our perspective, digital biomarkers meant as a more direct (or narrow) concept describe digital footprints being directly linked to biological variables, such as stemming from molecular genetics, epigenetics, endocrinology, immunology or brain imaging, to name a few. More indirect concepts of digital biomarkers encompass digital footprints being linked to human behavior that may act as latent variables indirectly linked to biological variables.

Investigating Links Between Fear of COVID-19, Neuroticism, Social Networks Use Disorder, and Smartphone Use Disorder Tendencies

The present study investigates links between fear of COVID-19, the personality trait of neuroticism, social networks use disorder, and smartphone use disorder (SNUD and SmUD, respectively) tendencies. In an online survey, N = 932 participants recruited at a Chinese University (237 males and 695 females) completed self-reports on fear of COVID-19, neuroticism (and other personality traits from the Big Five Inventory-44), the Bergen Social Media Addiction Scale (assessing tendencies toward SNUD), and the Smartphone Addiction Scale short version—assessing individual differences in tendencies toward SmUD.

Our findings showed that all variables of main interest were positively correlated with each other. A mediation model suggested that SNUD (in parts) mediated the association between fear of COVID-19 and SmUD. Although neuroticism was robustly correlated with all mentioned variables, no moderation effect could be observed on the investigated fear-of-COVID-19-SNUD-link.

The findings of this work provide further evidence that the smartphone itself is only a device giving individuals access to software applications, which might be excessively used. Beyond that, the present data indicate neuroticism to be a risk factor with respect to fear of COVID-19, SNUD, and SmUD, although the study is limited by its cross-sectional study design.

Relations between anxiety sensitivity's cognitive concerns and anxiety severity: brooding and reflection as serial multiple mediators

The outbreak of COVID-19 has caused a major impact on productivity and life functioning, and also led to adverse emotional reactions. In the face of this public health event, increased anxiety is one of the most common emotional reactions. Previous studies have shown that anxiety sensitivity, rumination and anxiety are closely related. Various dimensions of anxiety sensitivity have different effects on anxiety. Also, rumination can be divided into brooding and reflection. To explore the relationships among anxiety sensitivity’s cognitive concerns, anxiety and different types of rumination, we conducted an online survey during the outbreak of coronavirus (February 17–25, 2020), using the Anxiety Sensitivity Scale-3 (ASI-3), Ruminative Responses Scale (RSS), and Depression Anxiety Stress Scale-21 (DASS-21). The results showed significant positive correlations among anxiety sensitivity’s cognitive concerns, anxiety, brooding and reflection. Furthermore, brooding and reflection had a chain mediation effect between cognitive concerns and anxiety, and the mediation effect of reflection was even stronger. Results suggest that anxiety sensitivity’s cognitive concerns may not only affect anxiety directly, but also affect anxiety through rumination, especially reflection.

Anxiety and stress severity are related to greater fear of missing out on rewarding experiences: A latent profile analysis

The fear of missing out on rewarding social experiences (FOMO) is an increasingly studied psychological construct, related to negative affectivity and increased online social engagement. Yet the heterogeneity of FOMO across individuals is not known. We conducted a latent profile analysis (LPA) of FOMO self-report ratings to determine sample heterogeneity and uncover underlying subgroups (profiles) of participants. We recruited 920 undergraduate participants through a Chinese university for an online survey, administering the FOMO Scale and the Depression Anxiety Stress Scale-21. Results demonstrated support for a four-profile LPA model based on FOMO ratings. Using multinomial logistic regression, more severe latent profiles (i.e., those with the greatest amount of FOMO endorsed) were associated with female sex, and higher stress and anxiety severity. Results suggest four distinct latent profiles based on FOMO ratings; findings are discussed in the context of self-determination theory.

Dispositional optimism mediates relations between childhood maltreatment and PTSD symptom severity among trauma-exposed adults

BACKGROUND

Experiences of maltreatment in childhood, such as abuse and neglect, have been associated with poorer psychological well-being in adulthood, including elevated risk of revictimization and increased likelihood of developing posttraumatic stress disorder (PTSD) symptoms. Maltreatment has also been associated with reduced resources related to resilience, such as optimism, which may act as a protective factor for mental health.

OBJECTIVES

In this study, we examined the mediating role of dispositional optimism in the relationship between childhood maltreatment and PTSD symptom severity from recent trauma in a sample of adults (n = 108) who presented to their local emergency department following trauma.

METHODS

We analyzed six models to account for cumulative childhood maltreatment as well as five primary subtypes of maltreatment: emotional abuse, physical abuse, sexual abuse, emotional neglect, and physical neglect.

RESULTS

Greater dispositional optimism mediated relations between total maltreatment and decreased PTSD severity (Bab = .056, SE = .029, 95 % CI [.009, .121]). Optimism also mediated relations between all maltreatment subtypes and PTSD severity, except sexual abuse.

CONCLUSIONS

These results may suggest optimism and positive psychology interventions as effective techniques in reducing the likelihood of PTSD development and severity in trauma-exposed individuals.

Fear of missing out (FOMO): overview, theoretical underpinnings, and literature review on relations with severity of negative affectivity and problematic technology use

This article discusses the fear of missing out (FOMO) on rewarding experiences, an important psychological construct in contemporary times. We present an overview of the FOMO construct and its operational definition and measurement. Then, we review recent empirical research on FOMO’s relationship with levels of online social engagement, problematic technology and internet communication use, negative affectivity, and sociodemographic variables. Additionally, we discuss theoretical conceptualizations regarding possible causes of FOMO and how FOMO may drive problematic internet technology use. Finally, we discuss future directions for the empirical study of FOMO.

On the Psychology of TikTok Use: A First Glimpse From Empirical Findings

TikTok (in Chinese: DouYin; formerly known as musical.ly) currently represents one of the most successful Chinese social media applications in the world. Since its founding in September 2016, TikTok has seen widespread distribution, in particular, attracting young users to engage in viewing, creating, and commenting on "LipSync-Videos" on the app. Despite its success in terms of user numbers, psychological studies aiming at an understanding of TikTok use are scarce. This narrative review provides a comprehensive overview on the small empirical literature available thus far. In particular, insights from uses and gratification theory in the realm of TikTok are highlighted, and we also discuss aspects of the TikTok platform design. Given the many unexplored research questions related to TikTok use, it is high time to strengthen research efforts to better understand TikTok use and whether certain aspects of its use result in detrimental behavioral effects. In light of user characteristics of the TikTok platform, this research is highly relevant because TikTok users are often adolescents and therefore from a group of potentially vulnerable individuals.

The evaluation of fake and true news: on the role of intelligence, personality, interpersonal trust, ideological attitudes, and news consumption

Individual differences in cognitive abilities and personality help to understand individual differences in various human behaviors. Previous work investigated individual characteristics in light of believing (i.e., misclassifying) fake news. However, only little is known about the misclassification of true news as fake, although it appears equally important to correctly identify fake and true news for unbiased belief formation. An online study with N = 530 (n = 396 men) participants was conducted to investigate performance in a Fake and True News Test in association with i) performance in fluid and crystallized intelligence tests and the Big Five Inventory, and ii) news consumption as a mediating variable between individual characteristics and performance in the Fake and True News Test. Results showed that fluid intelligence was negatively correlated with believing fake news (the association did not remain significant in a regression model); crystallized intelligence was negatively linked to misclassifying true news. Extraversion was negatively and crystallized intelligence was positively associated with fake and true news discernment. The number of different news sources consumed correlated negatively with misclassifying true news and positively with fake and true news discernment. However, no meaningful mediation effect of news consumption was observed. Only interpersonal trust was negatively related to misclassifying both fake and true news as well as positively related to news discernment. The present findings reveal that underlying factors of believing fake news and misclassifying true news are mostly different. Strategies that might help to improve the abilities to identify both fake and true news based on the present findings are discussed.

A machine learning approach to modeling PTSD and difficulties in emotion regulation

Despite evidence for the association between emotion regulation difficulties and posttraumatic stress disorder (PTSD), less is known about the specific emotion regulation abilities that are most relevant to PTSD severity. This study examined both item-level and subscale-level models of difficulties in emotion regulation in relation to PTSD severity using supervised machine learning in a sample of U.S. adults (N=570). Participants were recruited via Amazon's Mechanical Turk (MTurk) and completed self-report measures of emotion regulation difficulties and PTSD severity. We used five different machine learning algorithms separately to train each statistical model. Using ridge and elastic net regression results in the testing sample, emotion regulation predictor variables accounted for approximately 28% and 27% of the variance in PTSD severity in the item- and subscale-level models, respectively. In the item-level model, four predictor variables had notable relative importance values for PTSD severity. These items captured secondary emotional responding, experiencing emotions as out-of-control, difficulties modulating emotional arousal, and low emotional granularity. In the subscale-level model, lack of access to effective emotion regulation strategies, lack of emotional clarity, and emotional nonacceptance subscales had the highest relative importance to PTSD severity. Results from analyses modeling a probable diagnosis of PTSD based on DERS items and subscales are presented in supplemental findings. Findings have implications for developing more efficient, targeted emotion regulation interventions for PTSD.

A comprehensive review of studies using the Affective Neuroscience Personality Scales in the psychological and psychiatric sciences

Jaak Panksepp's Affective Neuroscience Theory (ANT) belongs to the most prominent emotion theories in the psychological and psychiatric sciences. ANT proposes the existence of seven primary emotional systems deeply anchored in the mammalian brain. These emotional/motivational systems have been shaped by evolutionary processes and function as tools for survival in mammalian species. The systems are called SEEKING, LUST, CARE, and PLAY, as well as ANGER, FEAR, and SADNESS. Panksepp carved out these emotional systems via means of deep brain stimulation, brain lesion and pharmacological manipulation studies. Davis et al. (2003) designed the Affective Neuroscience Personality Scales (ANPS) against the background of findings from ANT. This self-report inventory is meant to enable researchers to assess individual differences in primary emotional systems. Seventeen years have passed since the first version of the ANPS has been published. Therefore, we now provide a comprehensive overview on studies using the ANPS including work from personality science, psychiatry and the neurosciences.