Latent-level relations between DSM-5 PTSD symptom clusters and problematic smartphone use

COVID-19-Related Post-Traumatic Stress Disorders Relation With Social Media Addiction Among University Students: Mediating Role of Fear of Missing Out

OBJECTIVE

Traumatic experiences and stressful life events have crippling outcomes on individuals' psychiatric disorders and are also frequently comorbid with addictive behaviors. This study aims to propose a mediation model to examine the association between coronavirus disease-2019 (COVID-19)-related post-traumatic stress disorder (PTSD) and social media addiction (SMA) among university students, and the mediating role of fear of missing out (FoMO).

METHODS

A cross-sectional study with 856 university students (mean age 19.2 years; 67.9% female) was conducted in China. The COVID-19-related PTSD scale, the FoMO scale, and the Bergen Social Media Addiction Scale were used, in addition to an online questionnaire addressing participants' sociodemographic information. Descriptive statistics and correlations were conducted with SPSS 21.0. The Structural Equation Model (SEM) with AMOS 21.0 was performed to assess the hypothesized mediation mode. The bootstrap with the 95% confidence interval (CI) was computed to test the significance of the mediating effect.

RESULTS

SEM demonstrated that COVID-19-related PTSD symptoms significantly and negatively influenced SMA (β=0.247, p<0.001), FoMO significantly and positively affected university students' SMA (β=0.341, p<0.001), and FoMO partially mediated the association between COVID-19-related PTSD symptoms and SMA. The mediation effect of FoMO was 0.176, with bootstrapping 95% CI=0.123, 0.235.

CONCLUSION

The main effects of COVID-19-related PTSD symptoms and FoMO on SMA among university students were identified, providing intervention strategies for mental health professionals on how to reduce the risk of SMA when confronting future traumatic events and public health crises.

PTSD, FOMO and fake news beliefs: a cross-sectional study of Wenchuan earthquake survivors

BACKGROUND

Post-traumatic stress disorder (PTSD) sufferers show problematic patterns of Internet use such as fear of missing out (FOMO) and sharing misinformation and fake news. This study aimed to investigate these associations in survivors of the 2008 earthquake in Wenchuan, China.

METHODS

A self-reported survey was completed by 356 survivors of the Wenchuan earthquake. A mediated structural equation model was constructed to test a proposed pattern of associations with FOMO as a mediator of the relationship between PTSD symptoms and belief in fake news, as well as moderators of this pathway.

RESULTS

PTSD was directly associated with believing fake news (β = 0.444, p < .001) and with FOMO (β = 0.347, p < .001). FOMO mediated the association between PTSD and fake news belief (β = 0.373, p < .001). Age moderated the direct (β = 0.148, t = 3.097, p = .002) and indirect (β = 0.145, t = 3.122, p = .002) pathways, with effects more pronounced with increasing age. Gender was also a moderator, with the indirect effect present in females but not in males (β = 0.281, t = 6.737, p < .001).

CONCLUSION

Those with higher PTSD symptoms are more likely to believe fake news and this is partly explained by FOMO. This effect is present in females and not males and is stronger in older people. Findings extend knowledge of the role of psychological variables in problematic Internet use among those with PTSD.

Personality traits of university students with smartphone addiction

BACKGROUND

Nowadays smartphone use is increasing drastically. There is a higher prevalence of smartphone addiction in some specific personality traits.

OBJECTIVES

The goal of this study is to evaluate the association of smartphone addiction with personality traits.

METHODS

This study is correlational research. Three hundred and eighty two students of Tehran universities were asked to answer the smartphone addiction scale (SAS) questionnaire and the Persian version of the Cloninger temperament and character inventory (TCI) questionnaire. After the smartphone addiction questionnaire assessment, individuals with smartphone addiction were identified and compared to the non-smartphone addicted group in terms of personality traits.

RESULTS

One hundred and ten individuals (28.8%) were prone to smartphone addiction. Mean scores of people with smartphone addiction were higher in novelty-seeking, harm avoidance, and self-transcendence than the non-addicts and were statistically significant. In persistence and self-directedness, the mean scores of the smartphone addiction group were lower than the non-addicts and were statistically significant. Individuals with smartphone addiction had higher reward dependence and lower cooperativeness however they were not statistically significant.

CONCLUSIONS

high novelty seeking, harm avoidance, self-transcendence, low persistence, and self-directedness which indicate narcissistic personality disorder, could have a role in smartphone addiction.

Factors Associated with Mental Health among Malaysian University Music Students: Roles of Fear of COVID-19, Nomophobia, Loneliness, Sleep Quality, and Socioeconomic Status

Previous mental health studies have shown higher levels of anxiety, stress, and depression symptoms among university music students. In general, some similar findings have been observed for Malaysian music university students. In diagnosing the complications of mental health, there is consensus that it is essential to develop and evaluate a model oriented toward mental health illness prevention and treatment. To date, a suitable pattern for estimating mental health in terms of anxiety, stress, and depression among music university students is lacking. To fill this gap, we collected the necessary data from 691 music and 871 general students who were students for one year. The introduced pattern includes socioeconomic status, fear of COVID-19, nomophobia, sleep quality, loneliness, and mental health. Our data analysis proved that the levels of anxiety, depression, and stress of music students were lower than those of general students. Unlike some previous studies, in this study, the fear of COVID-19 and nomophobia didn't have the most significant impact on mental health. The most significant impacts were related to sleep quality and loneliness. These findings have the potential to inform health promotion and services in the music education system.

Longitudinal relationships among posttraumatic stress disorder symptom clusters in response to positive memory processing

BACKGROUND AND OBJECTIVES

Avoidance, inherent to posttraumatic stress disorder (PTSD) symptomatology, is theoretically and empirically linked to the maintenance of PTSD symptom severity. While research indicates traumatized individuals avoid positive and trauma memories, several PTSD treatments focus exclusively on traumatic memories. We examined the mediating role of PTSD's avoidance in the relationship between processing positive memories and PTSD cluster severity (intrusion, mood/cognitions, arousal).

METHODS

Sixty-five trauma-exposed college students (M_age = 22.52; 86.10% female) were randomly assigned to 3 conditions: narrating/processing, writing/processing, or control (same task across baseline [T0] and follow-up [T1]).

RESULTS

Half-longitudinal mediation models indicated participation in the narrating vs. writing and control conditions predicted decreases in T1 intrusion severity via reduction in T1 avoidance severity. Similarly, participation in the narrating vs. writing and control conditions predicted decreases in T1 mood/cognitions' severity via reduction in T1 avoidance severity. Participation in the narrating vs. writing condition predicted decreases in T1 arousal severity via reduction in T1 avoidance severity.

LIMITATIONS

Data was obtained from an analogue small-size sample of university students. In addition, sessions were only 6-8 days apart, with the processing component of each session lasting ∼30 min.

CONCLUSIONS

Processing positive memories may relate to lower PTSD severity via a reduction in PTSD's avoidance, paralleling effects of processing trauma memories. Our findings support future investigations of the mechanisms underlying impacts of positive memory processing in the context of PTSD treatments.

Predicting Patterns of Problematic Smartphone Use among University Students: A Latent Class Analysis

University students are consistently ranked among the highest users of smartphones. As such, recent research has focused on examining the antecedents and consequences of problematic smartphone use among university students. While this work has been instrumental to our understanding of the risk and protective factors of developing problematic smartphone use, it has been largely variable-centered and thus fails to recognize the diversity with which problematic smartphone use is experienced among university students. As such, this study employed a person-centered approach (i.e., latent class analysis) to classify individuals based on patterns of problematic smartphone use feature/symptom cooccurrence among a sample of 403 Canadian university students. The relationships between these subgroups (or classes) and potential covariates (i.e., self-regulation, attachment anxiety, and attachment avoidance) were then examined to gain a more complete understanding of university students’ experiences of problematic smartphone use. Three classes of problematic smartphone use were identified: (1) “connected” displaying the features/symptoms of problematic smartphone use associated with being constantly connected to smartphones; (2) “problematic” displaying all of the features/symptoms of problematic smartphone use; (3) “distracted” displaying the features/symptoms associated with being distracted by smartphones. Findings indicate that attachment anxiety and avoidance were significantly associated with membership in the most pathological (i.e., “problematic”) class, suggesting that this may be an especially important risk factor for developing problematic smartphone use among university students. Moreover, self-regulation was significantly related to membership in the least pathological class (i.e., “connected”) suggesting that this may function as an important protective factor in developing more concerning patterns of problematic smartphone use. Findings from this work provide empirical evidence of a heterogeneity in patterns of problematic smartphone use associated with distinct individual-level risk factors. This has important implications for conceptualizations of problematic smartphone use and the development of intervention and prevention efforts.

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.

Psychological distress, rumination and problematic smartphone use among Spanish adolescents: An emotional intelligence-based conditional process analysis

BACKGROUND

Problematic smartphone use (PSU) is a public health issue that is currently rising among adolescents. The Compensatory Internet Use Theory (CIUT) poses that difficulties in handling negative life circumstances could result in PSU. Furthermore, the Interaction of Person-Affect-Cognition-Execution (I-PACE) model suggests that the interaction between core characteristics and affective and cognitive responses could lead to PSU. The present study aimed to clarify the links between psychological distress and PSU by exploring rumination as a mediator and emotional intelligence (EI) as a moderator.

METHODS

A sample of 1882 adolescents (54% female, 46% male) completed measures of psychological distress, rumination, EI and PSU. The PROCESS macro was used to conduct a moderated mediation analysis.

RESULTS

The mediation results showed a significant indirect effect from psychological distress to PSU through rumination. Furthermore, EI was a significant moderator of this effect. Thus, in adolescents with higher EI, the effect of psychological distress on PSU through rumination was not significant.

LIMITATIONS

Cross-sectional data do not imply causality and further studies should use longitudinal designs. Self-report questionnaires may be susceptible to social desirability bias and future studies including other sources of information may help to minimize such bias.

CONCLUSIONS

This study contributes to the field of problematic digital technology usage, showing that the link between psychological distress and PSU depends on the EI levels, which might influence PSU indirectly through rumination. Furthermore, empirical evidence for the CIUT and I-PACE models was provided. Lastly, interventions aiming at training EI may aid in the prevention of PSU.

Difficulties in Establishing "Truth" Conditions in the Assessment of Addictive Smartphone Use in Young Adults

The smartphone revolution has placed powerful, multipurpose devices in the hands of youth across the globe, prompting worries about the potential negative consequences of these technologies on mental health. Many assessment tools have been created, seeking to classify individuals into problematic and non-problematic smartphone users. These are identified using a cutoff value: a threshold, within the scale range, at which higher scores are expected to be associated with negative outcomes. Lacking a clinical assessment of individuals, the establishment of this threshold is challenging. We illustrate this difficulty by calculating cutoff values for the Short Version of the Smartphone Addiction Scale (SAS-SV) in 13 Spanish-speaking samples in 11 countries, using common procedures (i.e., reliability, validity, ROC methodology). After showing that results can be very heterogeneous (i.e., they lead to diverse cutoff points and rates of addiction) depending on the decisions made by the researchers, we call for caution in the use of these classifications, particularly when researchers lack a clinical definition of true addiction-as is the case with most available scales in the field of behavioral addictions-which can cause an unnecessary public health alert.

Post-Traumatic Stress Disorder in Chinese Teachers during COVID-19 Pandemic: Roles of Fear of COVID-19, Nomophobia, and Psychological Distress

There are limited data concerning the prevalence of post-traumatic stress disorder (PTSD) among teachers. Therefore, the present study estimated the prevalence of PTSD among mainland Chinese teachers during the COVID-19 pandemic and to construct a model with mediation and moderation effects to explain the PTSD. Data collection was conducted in schools in the Jiangxi province between October and November 2020 among k-12 schoolteachers. An online survey, including five different psychometric scales, was used to collect data. All participants were assessed for PTSD using the Chinese version of the PTSD Checklist for DSM-5 (PCL-5). Hayes' PROCESS Model 8 was used to examine the potential factors explaining a higher PTSD scores. A total of 2603 teachers from k-12 schools participated. With the cutoff score at 31, the prevalence of PTSD was 12.3% but decreased to 1.0% when the cutoff score was at 49. Nomophobia moderated the effects of Fear of COVID-19 Scale on PTSD. The findings suggest that fear of COVID-19 among teachers leads to PTSD via psychological distress, highlighting the moderating effect of nomophobia in this association. Based on the study's findings, psychological interventions and educational training are needed to reduce fear among teachers at higher risk of developing PTSD.

The mediating role of daytime sleepiness between problematic smartphone use and post-traumatic symptoms in COVID-19 home-refined adolescents

BACKGROUND

COVID-19 was first recognized in late 2019 in China, at which time school closures forced most students to isolate at home or maintain social distance, both of which increased smartphone use, daytime sleepiness and post traumatic disorder (PTSD) risks. However, to date, no research has fully explored these behavioral risks or the consequences.

METHODS

Two thousand and ninety home-confined students from two Chinese high schools participated in an online-based questionnaire battery that assessed their sociodemographic characteristics, COVID-19 related exposures, daytime sleepiness, problematic smartphone use, and PTSD. The subsequent data were subjected to mediation analysis, and structural equation models (SEM) were employed to explore the variable relationships.

RESULTS

The problematic smartphone use, daytime sleepiness and PTSD prevalence were respectively 16.4%, 20.2% and 6.9%. The number of COVID-19 related exposure was directly associated with problematic smartphone use and PTSD symptoms. Problematic smartphone use was found to be a mediator between COVID-19 related exposure and PTSD symptoms, and daytime sleepiness was found to partially mediate the associations between problematic smartphone use and PTSD.

CONCLUSIONS

The more exposure associated with the pandemic, the more psychological and behavioral problems the adolescents had. The relatively high rate of problematic smartphone use in home isolated adolescents possibly increased the risk of daytime sleepiness and psychological problems. Therefore, targeted improvements are needed to reduce the risk of psychological problems and daytime sleepiness in adolescents.

Psychological Capital Mediates the Relationship Between Problematic Smartphone Use and Learning Burnout in Chinese Medical Undergraduates and Postgraduates: A Cross-Sectional Study

Learning burnout is a pressing issue among Chinese medical undergraduates and Postgraduates and has drawn continuous attention worldwide. Studies have found that problematic smartphone use could affect learning burnout, but more research is needed in this direction. Furthermore, few studies focused on the mediating effect of psychological capital on the relationship between problematic smartphone use and learning burnout. The present study was a cross-sectional survey that recruited 1,800 participants from a medical university in Chongqing, China. A questionnaire based on the Mobile Phone Addiction Tendency Scale, Psychological Capital Questionnaire, Learning Burnout Scale, and demographic variables were administered to these students, and 1,475 provided valid responses (81.94%). 771 were undergraduates (52.3%) and 704 were postgraduates (47.7%). Hierarchical regression and the bootstrap method were used to examine the mediating effect of psychological capital. After controlling for demographic variables, problematic smartphone use positively predicted learning burnout in undergraduates (β = 0.328, p < 0.01) and in postgraduates (β = 0.342, p < 0.01). The partial mediating effect of psychological capital was 0.068 in undergraduates and 0.074 in postgraduates, accounting for 20.67 and 21.64%, respectively, of the total effect of problematic smartphone use on learning burnout. All the 95% confidence intervals (CI) did not contain 0. Problematic smartphone use can directly predict learning burnout and their relationship was mediated by psychological capital in Chinese medical undergraduates and postgraduates. Strategies to alleviating problematic smartphone use and enhance psychological capital in medical undergraduates and postgraduates may provide useful suggestions for future interventions on dealing with learning burnout in Chinese medical undergraduates and postgraduates.

A psychometric investigation on the diagnostic utility of the posttrauma risky behaviors questionnaire

The Posttrauma Risky Behaviors Questionnaire (PRBQ) is a screening measure for posttrauma reckless and self-destructive behaviors (RSDBs). We examined (1) PRBQ's predictive relations with clinical (vs. not) endorsements of distinct RSDBs, and (2) PRBQ's optimal cutoff score yielding the most appropriate balance of sensitivity and specificity statistics. The sample included 354 adult trauma-exposed community participants (Mage=35.76 years; 57.90% female). Logistic regression analyses indicated that the PRBQ significantly differentiated individuals endorsing (vs. not) clinical levels of alcohol/drug misuse, disordered eating, problematic gambling, and compulsive buying. Receiver operating characteristic (ROC) curve analyses indicated that the 14-item PRBQ total score had moderate accuracy in differentiating individuals endorsing clinical vs. non-clinical levels of drug misuse, disordered eating, problematic gambling, compulsive buying, and engagement in RSDBs (PTSD's E2 Criterion); and low accuracy for alcohol misuse. ROC curve analyses indicated 3.5-6.5 as the optimal range of PRBQ cutoff scores. Thus, the PRBQ has good ability to discriminate participants endorsing (vs. not) clinical levels of alcohol/drug misuse, disordered eating, problematic gambling, and compulsive buying (lowest accuracy in identifying participants with clinical levels of alcohol misuse), and a minimum cutoff score between 3.5 and 6.5 may suggest using additional diagnostic assessments and clinical interventions.

DSM-5 PTSD symptom clusters and suicidal ideation in veterans

Posttraumatic stress disorder (PTSD) is associated with significantly greater risk for suicidal ideation (SI). In civilians, the negative alterations in cognitions and mood (NACM) and alterations in arousal and reactivity (AAR) clusters are most strongly associated with SI. This study sought to examine the association between PTSD symptom clusters and SI in a large sample of veterans. Veterans (n = 1,789) completed the PTSD Checklist for DSM-5 and the Patient Health Questionnaire (PHQ) during primary care visits. Wald chi-square tests of parameter constraints were computed to test hypothesized relations between PTSD factors and the PHQ-9 suicidal ideation item. Each of the PTSD symptom clusters were significantly associated with SI. The NACM cluster was more strongly associated with SI than AAR and marginally more strongly associated with SI than the avoidance symptom clusters. In a restricted sample of only veterans with PTSD, NACM remained more strongly associated with SI than avoidance. Each of the NACM symptoms were significantly associated with SI. Changes in cognitions and mood were most strongly associated with SI in this large sample of veterans. These findings suggest that directly targeting the NACM symptom cluster may be an important goal for suicide prevention efforts among veterans with PTSD.

Addictive Use of Smartphones and Mental Disorders in University Students

Objective: Despite the awareness of smartphone addiction, low findings and lack of validated standards have led to insufficient information in this area. This study aimed to examine the relationship between mobile phone dependency and mental disorders in students in Iran, while controlling for the impact of gender, age, educational levels, and marital status. Method : In this cross-sectional study, a sample of 1400 university students (445 males and 955 females) aged 18-35 years were selected from 3 cities of Tehran, Isfahan and Karaj. The participants filled out a set of questionnaires: Cell Phone Dependency Questionnaire (CPDQ), Millon Multiaxial Clinical Inventory, and participated in interviews. Data were analyzed using multiple logistic regression method via SPSS-22 software. Results: In terms of controlling the demographic variables, the results revealed that bipolar disorder, depression, anxiety, somatization, dependent personality disorder, and compulsive personality disorder could increase the possibility of mobile phone addiction by 4.2, 4.2, 1.2, 2.8, 3.1, and 3.2 folds, respectively (P < 0.05). However, other disorders and demographic characteristics did not have any significant effects on the equation. Conclusion: The results can help better understand the relationship between psychological syndromes and smartphone addiction and can also facilitate further studies in this field. In addition, those students with smartphone addiction should be provided with different preventative strategies. Moreover, a growing range of stimulating applications may trigger the risk of addiction.

Posttraumatic Stress Disorder Symptoms and Reckless Behaviors: A Network Analysis Approach

Existing literature indicates a theoretical and empirical relation between engagement in reckless behaviors and posttraumatic stress disorder (PTSD). Thus, the DSM-5 revision of the PTSD nosology added a new "reckless or self-destructive behavior" (RSDB) symptom (Criterion E2). The current study applied a network analytic approach to examine the item-level relations among a range of reckless behaviors and PTSD symptom clusters. Participants were recruited from Amazon's Mechanical Turk (N = 417), and network analysis was conducted with 20 variables: six PTSD symptom clusters, corresponding to the hybrid model of PTSD (Armour et al., 2015) and excluding the externalizing behavior cluster (Community 1), and 14 items related to reckless behavior (Community 2). The results showed that the network associations were strongest within each construct (i.e., within PTSD and within reckless behaviors), although several bridge connections (i.e., between PTSD clusters and reckless behaviors) were identified. Most reckless behavior items had direct associations with one or more PTSD symptom clusters. The present findings support the existence of close relations between a variety of reckless behaviors and PTSD symptom clusters beyond their relations with DSM Criterion E2. The results provide testable hypotheses about the associations between specific reckless behaviors and PTSD symptom clusters, which may inform future research.

Relation between PTSD symptom clusters and positive memory characteristics: A network perspective

Positive memory characteristics relate to posttraumatic stress disorder (PTSD) severity. We utilized a network approach to examine relations between PTSD clusters (intrusions, avoidance, negative alterations in cognitions and mood [NACM], alterations in arousal and reactivity [AAR]) and positive memory characteristics (count, accessibility, valence, vividness, coherence, time perspective, sensory details). We identified differential relations between PTSD clusters and positive memory characteristics, and central/bridging symptoms. Participants were an Amazon Mechanical Turk-recruited sample of 206 individuals (M_age = 35.36; 61.20% females). We estimated a regularized Gaussian Graphic Model comprising four nodes representing the PTSD clusters and six nodes representing positive memory characteristics. Regarding cross-community relations, AAR (highest node strength) was negatively associated with positive memory count, valence, coherence, and accessibility; avoidance was positively and negatively associated with positive memory vividness and count respectively. The NACM-AAR and intrusion-avoidance edges were significantly stronger than most edges. From the PTSD community, AAR and avoidance had the highest bridge strength and bridge expected influence respectively; from the positive memory community, coherence and vividness had the highest bridge strength and bridge expected influence respectively. Results indicate the potential pivotal role of AAR, avoidance, coherence, and vividness in the PTSD-positive memory relation, which renders them assessment/treatment targets pending further investigation.

Relation of positive memory recall count and accessibility with post-trauma mental health

Positive memory encoding and retrieval deficits have an empirical relation with several post-trauma outcomes. Drawing from the Contractor et al. model, we examined relations between positive memory characteristics and post-trauma mental health indicators. A trauma-exposed community sample of 203 participants (Mage = 35.40 years; 61.10% female) was recruited via Amazon's Mechanical Turk. Participants completed measures of posttraumatic stress disorder (PTSD; PTSD Checklist for DSM-5), depression (Patient Health Questionnaire-9), posttraumatic cognitions (Posttraumatic Cognitions Inventory), affect (Positive and Negative Affect Schedule), count/number of recalled specific positive memories (Autobiographical Memory Test) and accessibility of a specific positive memory (i.e., subjective ease of recalling details of a memory; Memory Experiences Questionnaire-Short Form). Linear regression results indicated that PTSD intrusion severity, PTSD negative alterations in cognitions and mood (NACM) severity, PTSD alterations in arousal and reactivity (AAR) severity, self-blame, and positive affect significantly and negatively predicted the count of specific positive memories. Further, PTSD NACM severity, PTSD AAR severity, negative cognitions about the self, and negative affect significantly and negatively predicted accessibility of a specific positive memory. Thus, count/accessibility of specific positive memories was associated with several post-trauma mental health indicators; this highlights the relevance and potential impact of integrating positive memories into trauma treatment.

Confirmatory validation of the factor structure and psychometric properties of the Difficulties in Emotion Regulation Scale-Positive

OBJECTIVES

Emotion dysregulation is a transdiagnostic factor central to the etiology and treatment of various clinical difficulties. Yet, research in this area has focused almost exclusively on emotion dysregulation stemming from negative emotions. The current study confirmed the factor structure of the Difficulties in Emotion Regulation Scale-Positive (DERS-P) and further examined its reliability and validity.

METHOD

Participants in Study 1 were 229 college students (M age = 19.37 years; 66.8% female; 67.2% White). Participants in Study 2 were 353 trauma-exposed community individuals ( M age = 35.77 years; 57.8% female; 71.2% White).

RESULTS

Findings supported the three-factor structure of the DERS-P. Mean levels of the DERS-P scales demonstrated convergent and discriminant validity and differentiated individuals with (vs. without) probable posttraumatic stress disorder, depression, alcohol use, and drug use disorders.

CONCLUSIONS

Findings provide additional support for the factor structure, reliability, and validity of the DERS-P, thereby adding to its clinical utility.

Efficacy of mobile application interventions for the treatment of post-traumatic stress disorder: A systematic review

Background

Many adults with post-traumatic stress disorder (PTSD) are unable to access healthcare services for treatment due to logistical, social, and attitudinal barriers. Interventions delivered via mobile applications (apps) may help overcome these barriers.

Objective

The aim of this study is to systematically evaluate the most recent evidence from trials investigating the efficacy of mobile apps for treating PTSD.

Methods

PubMed, Web of Science, Embase, PsycINFO, and Medline were searched in February 2018. Randomised controlled trials (RCTs) were included if they quantitatively evaluated the efficacy of a mobile app for treating PTSD as part of the primary aim. Findings were presented in a narrative synthesis.

Results

In the five identified RCTs, the use of app-based interventions appeared to be associated with reductions in PTSD symptoms. However, the strength of evidence for this association appeared to be inconsistent, and there was little evidence that those using the apps experienced greater reductions in PTSD symptoms than those in control conditions. Nonetheless, there was some evidence that app-based interventions are both a feasible and acceptable treatment pathway option.

Conclusions

Included studies were often limited by small sample sizes, brief intervention, and follow-up periods, and self-reported measures of PTSD. Evidence for the efficacy of mobile interventions for treating PTSD was inconclusive, but promising. Healthcare professionals should exercise caution in recommending app-based interventions until the potentially adverse effects of app use are better understood and larger-scale studies have taken place.

The Psychology of Smartphone: The Development of the Smartphone Impact Scale (SIS)

Smartphones are changing lives in a number of ways. However, the psychological literature has primarily focused on smartphone overuse, neglecting the impacts that are not strictly related to problematic use. The present research was aimed to develop a comprehensive self-report scale that accounts for the cognitive, affective, social, and behavioral impacts of smartphones in everyday life-the Smartphone Impact Scale (SIS). Study 1 (N = 407) yielded a preliminary version of the scale, which was refined in Study 2 (N = 601). The SIS is a 26-item scale that measures seven dimensions of smartphone impact. Results revealed meaningful associations between its subscales, psychosocial constructs, and daily usage of smartphones and apps. The SIS broadens the view of human-smartphone interaction by extending the concept of problematic smartphone use to further dimensions (e.g., emotion regulation) and introducing a proper measurement of underinvestigated smartphone impacts (e.g., tasks support). The implications of each SIS subscale are discussed.

The relationship between anxiety symptom severity and problematic smartphone use: A review of the literature and conceptual frameworks

In the present paper, we examine the literature studying relations between problematic smartphone use (PSU) and anxiety symptom severity. We first present background on the health advantages and disadvantages of using a smartphone. Next, we provide caveats in distinguishing healthy smartphone use from unhealthy PSU, and we discuss how PSU is measured. Additionally, we discuss theoretical frameworks explaining how some people develop PSU, including Uses and Gratifications Theory, and Compensatory Internet Use Theory. We present our own theoretical model of how PSU is specifically related to anxiety. We discuss and review mental health constructs associated with PSU severity, based on prior literature. Next, we systematically review the research on PSU severity in relation to anxiety symptoms, given the recent growth of studies on this research question. Finally, we offer implications and recommendations for future research in this area.

Typologies of PTSD clusters and reckless/self-destructive behaviors: A latent profile analysis

Posttraumatic stress disorder (PTSD) is comorbid with diverse reckless and self-destructive behaviors (RSDBs). We examined the nature and construct validity (covariates of age, gender, depression severity, number of trauma types, functional impairment) of the optimal class solution categorizing participants based on PTSD symptom and RSDB endorsement. The sample included 417 trauma-exposed individuals recruited through Amazon's MTurk platform who completed the Life Events Checklist for DSM-5, PTSD Checklist for DSM-5, the Posttrauma Risky Behaviors Questionnaire, and Patient Health Questionnaire-9. Latent profile analyses indicated an optimal three-class solution: the Low PTSD-RSDBs, High PTSD-Low RSDBs, and High PTSD-RSDBs classes. Multinomial logistic regression indicated that impairment and depression predicted the High PTSD-Low RSDBs vs. the Low PTSD-RSDBs classes. Impairment, age, being female, and depression predicted the High vs. Low PTSD-RSDBs classes. Number of trauma types, age, being female, and depression predicted the High PTSD-RSDBs vs. High PTSD-Low RSDBs classes. Results support the presence of a reckless behaviors subtype of PTSD (characterized by greater depression, greater impariment, greater number of trauma types, being male, and being younger), conducting comprehensive assessments of RSDBs for individuals reporting PTSD symptoms and of PTSD symptoms for individuals reporting RSDBs, and the need to tailor interventions to treat PTSD and RSDBs concurrently.

Mobile Phone Use and Mental Health. A Review of the Research That Takes a Psychological Perspective on Exposure

The purpose of this study was to carry out a review of observational studies that consider links between mobile phone use and mental health from a psychological or behavioral perspective. Systematic literature searches in PubMed and PsycINFO for articles published until 2017 were done. Exclusion criteria included: papers that considered radiofrequency fields, attention, safety, relational consequences, sexual behavior, cyberbullying, and reviews, qualitative, and case or experimental studies. A total of 4738 papers were screened by title and abstract, 404 were retrieved in full text, and 290 were included. Only 5% had any longitudinal design. Self-reporting was the dominating method of measurement. One third of the studies included children or youth. A majority of adult populations consisted of university students and/or self-selected participants. The main research results included associations between frequent mobile phone use and mental health outcomes, such as depressive symptoms and sleep problems. Mobile phone use at bedtime was associated with, e.g., shorter sleep duration and lower sleep quality. "Problematic use" (dependency) was associated with several negative outcomes. In conclusion, associations between mobile phone use and adverse mental health outcomes are found in studies that take a psychological or behavioral perspective on the exposure. However, more studies of high quality are needed in order to draw valid conclusions about the mechanisms and causal directions of associations.

Addicted to cellphones: exploring the psychometric properties between the nomophobia questionnaire and obsessiveness in college students

A potential new clinical disorder is arising due to the addiction to cellphones called nomophobia-or feelings of discomfort or anxiety experienced by individuals when they are unable to use their mobile phones or utilize the conveniences these devices provide. However, before being able to officially classify this disorder as clinically relevant, more research needs to be conducted to determine how nomophobia relates to existing disorders. In a sample of 397 undergraduate students, the present study examined the relationship between the Nomophobia Questionnaire (NMP-Q) and the Obsessiveness Content Scale (OBS) of the Minnesota Multiphasic Personality Inventory-2 (the MMPI-2). Confirmatory factor analysis (CFA) was used to test whether the OBS Content Scale would be related to a one-factor NMP-Q solution (Fig. 1) or a four-factor NMP-Q solution (Fig. 2). Convergent and divergent validity were also investigated. The four-factor model was a better fit than the one-factor model as indicated by most fit indices. The findings showed that the OBS latent variable was correlated with all of the four NMP-Q latent variables. Mixed support was found for convergent validity, but high support was found for the divergent validity of the NMP-Q factors. This study contributes to a growing body of literature seeking to better understand the addictive nature of cellphones and takes a new perspective on addiction research and obsessiveness. These findings provide a better understanding between pre-existing assessments of personality disorders (e.g., obsessiveness) that are emerging from the overuse of mobile phones or the excessive fear of losing one's cell phone.