The Association Between Sexual Initiation and Membership in Dyadic Profiles of Perceived Shared Power

There is scarce empirical evidence examining whether sexual initiation and power are associated with each other. Utilizing latent profile analyses, we examined in a nationally representative sample of US newlywed heterosexual couples (N = 1,948 couples) whether wives' and husbands' sexual initiation patterns and satisfaction with these patterns were associated with membership in different profiles of wives' and husbands' perceptions of shared relational power while accounting for both partner's satisfaction with sexual frequency. We found four profiles of wives' and husbands' perceptions of power. The most common profile was when both wives and husbands perceived high levels of power compared to other profiles, but wives had significantly higher reports of perceived power than husbands (High Power, Wife Higher; 40.8%). Husbands' sexual initiation patterns were not associated with profile membership. Wives who reported equal sexual initiation patterns had a higher probability of being in the High Power, Wife Higher profile compared to the Wife Low Power, Husband Moderate Power profile. Both wives' and husbands' satisfaction with sexual initiation patterns were associated with profile membership. Wives and husbands that were satisfied with sexual initiation patterns had a higher probability of being in the High Power, Wife Higher profile compared to the profile where both wives and husbands had high perceptions of shared relational power compared to other profiles, but their scores were not significantly different from each other (High Power, Equal).

A latent profile analysis of blackout drinking behavior among young adults

BACKGROUND

Blackout drinking, or alcohol-induced memory loss during a drinking occasion, is associated with additional negative alcohol-related outcomes. Brief motivational interventions targeting higher-risk alcohol use behavior have largely ignored blackout drinking. Including personalized information on blackout drinking could maximize intervention impact. To move toward incorporating content on blackout drinking in prevention and intervention materials, it is imperative to understand individual-level differences in blackout drinking. The current study aimed to identify latent profiles of young adults based on blackout drinking experiences and to examine person-level predictors and outcomes associated with profile membership.

METHOD

Participants were 542 young adults (ages 18-30) who reported 1+ past-year blackout episodes. Fifty-three percent of participants were female and 64% identified as non-Hispanic/Latinx white.

RESULTS

Four latent profiles were identified based on blackout drinking frequency, blackout intentions, blackout expectancies, and age of first blackout: Low-Risk Blackout (35% of the sample), Experimental Blackout (23%), At-Risk Blackout (16%), and High-Risk Blackout (26%). Profiles varied by demographic, personality, and cognition- and alcohol-related behaviors. Notably, At-Risk and High-Risk Blackout profiles had the highest alcohol use disorder risk, most memory lapses and cognitive concerns, and highest levels of impulsivity traits.

CONCLUSIONS

Findings support the multifaceted nature of blackout drinking experiences and perceptions. Profiles were differentiated across person-level predictors and outcomes, which identify potential intervention targets and individuals at heightened alcohol-related risk. A more comprehensive understanding of the heterogeneity of blackout drinking characteristics may be useful for early detection and intervention of problematic alcohol use predictors and patterns among young adults.

Heterogeneity of smartphone impact on everyday life and its relationship with personality and psychopathology: A latent profile analysis

BACKGROUND

The relationships between problematic smartphone use and psychological factors have been extensively investigated. However, previous studies generally used variable-centered approaches, which hinder an examination of the heterogeneity of smartphone impact on everyday life.

OBJECTIVE

In the present study, we capitalized on latent profile analysis to identify various classes of smartphone owners based on the impact associated with smartphone use (e.g., unregulated usage, preference for smartphone-mediated social relationships) and to compare these classes in terms of established psychological risk factors for problematic smartphone use.

METHOD

We surveyed 934 young adults with validated psychometric questionnaires to assess the impact of smartphones, psychopathological symptoms, self-esteem and impulsivity traits.

RESULTS

Smartphone users fall into four latent profiles: users with low smartphone impact, users with average smartphone impact, problematic smartphone users, and users favoring online interactions. Individuals distributed in the problematic smartphone user profile were characterized by heightened psychopathological symptoms (stress, anxiety, depression, obsessive-compulsive tendencies) and impulsivity traits. Moreover, users who preferred online interactions exhibited the highest symptoms of social anxiety and the lowest levels of self-esteem.

CONCLUSIONS

These findings further demonstrate the multidimensionality and heterogeneity of the impact of smartphone use, calling for tailored prevention and intervention strategies.

Heterogeneity in patterns of posttraumatic stress disorder symptoms and sleep disturbances among firefighters: Latent profile analyses

Firefighters are at increased risk for posttraumatic stress disorder (PTSD) symptoms and sleep disturbances due to occupational trauma exposure as well as the nature of their job (e.g., shift work, workplace stress). PTSD symptoms co-occur with sleep disturbances, including poor sleep quality, short sleep duration, and low sleep efficiency. No published studies have examined subgroups of firefighters based on PTSD symptoms and sleep disturbances. Thus, we used latent profile analysis to identify the best-fitting class solution to categorize firefighters based on endorsed PTSD symptoms and sleep disturbances and examined relations between the optimal class solution and health covariates (i.e., anger reactions, depression symptoms, emotion regulation difficulties, number of traumatic event types). The sample included 815 trauma-exposed firefighters (M_age = 38.63; 93.20% male). Results indicated three latent subgroups: High PTSD-Sleep Disturbances, Moderate PTSD-Sleep Disturbances, and Low PTSD-Sleep Disturbances. Multinomial logistic regression indicated that endorsing greater anger reactions, depression symptoms, and emotion regulation difficulties increased the chances of being in the more severe classes. Endorsing greater number of traumatic event types increased the chances of being in the Moderate vs. Low PTSD-Sleep Disturbances Classes. Findings improve our understanding of subgroups of firefighters based on PTSD and sleep disturbances and underscore the importance of addressing depression symptoms, anger management, and emotion regulation skills for firefighters reporting more severe PTSD symptoms and sleep disturbances.

Patterns of premenstrual syndrome and depression symptoms in Chinese female university students: Results of a latent profile analysis

BACKGROUND

Premenstrual syndrome (PMS) and depression co-occur frequently; however, their relationship remains controversial. This study was conducted primarily to discern heterogeneous patterns of such co-occurring symptoms in Chinese female university students, using a latent profile analysis (LPA), a person-centered statistical approach.

METHODS

The PMS Scale and Beck Depression Inventory were used to examine self-reported PMS and depression symptoms in 701 Chinese female university students. LPA, multinomial logistical regression, and analyses of variance were adopted to investigate latent profiles and their validity.

RESULTS

The LPA results indicated that a four-class solution characterized by low symptoms (57.2%), predominantly PMS (11.3%), predominantly depression (23.7%), and combined PMS-depression (7.8%) patterns fitted the data best. Age, first menstrual experience, and personality factors were associated with differences in nonparallel profiles characteristic of menstrual attitude.

LIMITATIONS

Use of self-report measures can lead to response biases; the cross-sectional design at a single time point limits the examination of changes in symptom characteristics and members within the category over time; and the specific age group limits the generalizability of results.

CONCLUSION

These results confirm that PMS is independent from depression, rather than a variant of depression, and can be used to resolve the controversy regarding the relationship between PMS and depression. The current findings highlight the need for identifying women at high risk for PMS and depression, and promoting interventions individually tailored to their symptom presentations.

Well-being profiles in adolescence: psychometric properties and latent profile analysis of the mental health continuum model - a methodological study

Background

The Adolescent Mental Health Continuum Short Form (MHC-SF) is a psychometrically valid tool to evaluate the domains of subjective well-being, but there is a lack of investigations which could distinguish subgroups with distinct subjective well-being profiles based on this measurement. Therefore, after testing the competing measurement models of the MHC-SF, our main aim was to identify subjective well-being profiles in a large adolescent sample.

Methods

On a representative Hungarian adolescent sample (N = 1572; 51% girl; mean age was 15.39, SD = 2.26) confirmatory factor analyses (CFA) and exploratory structural equation modeling (ESEM) were used to test the factor stucture of the Adolescent MHC-SF. In addition, gender invariance of the best fitting model was also tested. Latent Profile Analyses (LPA) were conducted to reveal distinct subgroups and these profiles were then compared.

Results

Results support the bifactor model of MHC-SF: the general and specific well-being factors which were invariant across gender. LPA yielded four subgroups, three of them have been theoretically hypothesized in previous works (i.e. flourishing, moderate mental health, languishing), but an emotionally vulnerable subgroup also emerged. Compared to the languishing group, this new subgroup demonstrated higher scores on prosocial behaviour, but had comparable level of loneliness and internalizing symptoms.

Conclusions

Our results suggest that the MHC-SF is a reliable and valid instrument for assessing overall well-being and its components. In addition, the identification of young people to be at risk for low mental health may help us to tailor mental health promotion programs to their special needs.

Comparison of latent typologies of posttraumatic stress disorder and depression symptoms across military personnel from India and the US

Research has identified heterogeneous subgroups of individuals based on posttraumatic stress disorder (PTSD) and depression symptoms. Using data collected from military personnel in India (N = 146) and U.S. (N = 194), we examined (1) the best-fitting latent class solution; (2) multi-group invariance of the class solution; and (3) construct validity of optimal class solution. Results indicated that the optimal 4-class solution differed in severity and severity/type in the India and U.S. samples respectively. With similarity in the optimal number of classes across cultural samples, the meaning/nature of classes differed. In the India sample, anxiety severity predicted the Low Severity Class vs. all other classes, and the Moderately High Severity/High Severity Classes vs. the Moderately Low Severity Class; number of traumas predicted the High Severity Class vs. other classes; and resilience predicted the Moderately Low Severity Class vs. the Moderately High Severity Class. In the U.S. sample, alcohol use predicted the High Severity Class vs. all other classes, and the High Depression-Low PTSD Class vs. the Low Severity Class; rumination significantly predicted the High Severity and High Depression-Low PTSD Classes vs. each of the High PTSD-Low Depression and Low Severity Classes. Thus, meaning and nature of PTSD-depression subgroups may vary culturally; hence, culturally-sensitive interventions need to account for this heterogeneity.

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.

Assessment of the Italian Version of the Internet Disorder Scale (IDS-15)

Much research has focused on the validation of psychometric tools assessing Internet addiction. One of the newest measures is the Internet Disorder Scale (IDS-15) based on the modified IGD criteria outlined in the Diagnostic and Statistical Manual of Mental Disorders (DSM-5). This study aimed at investigating the psychometric properties of the Italian version of the IDS-15 by examining the construct and the concurrent and the criterion-related validity and by identifying the taxonomy and the patterns of Internet users. A sample of 471 participants (M_age = 24.72 years, SD = 8.66; 256 males) was recruited from secondary schools, universities, and gaming halls. Confirmatory factor analyses supported the four-dimensional second-order structure and the three levels of the measurement invariance across gender. The reliability and the validity of the scale were confirmed, and the LPAs provided four classes of Internet users on the basis of the scores obtained in all four dimensions of the scale. The psychometric robustness of the Italian version of the IDS-15 was clearly demonstrated. Cross-cultural research should expand and generalize the present findings.

Heterogeneity in patterns of DSM-5 posttraumatic stress disorder and depression symptoms: Latent profile analyses

BACKGROUND

Posttraumatic stress disorder (PTSD) and depression co-occur frequently following the experience of potentially traumatizing events (PTE; Morina et al., 2013). A person-centered approach to discern heterogeneous patterns of such co-occurring symptoms is recommended (Galatzer-Levy and Bryant, 2013). We assessed heterogeneity in PTSD and depression symptomatology; and subsequently assessed relations between class membership with psychopathology constructs (alcohol use, distress tolerance, dissociative experiences).

METHODS

The sample consisted of 268 university students who had experienced a PTE and susequently endorsed clinical levels of PTSD or depression severity. Latent profile analyses (LPA) was used to identify the best-fitting class solution accouring to recommended fit indices (Nylund et al., 2007a); and the effects of covariates was analyzed using a 3-step approach (Vermunt, 2010).

RESULTS

Results of the LPA indicated an optimal 3-class solutions: high severity (Class 2), lower PTSD-higher depression (Class 1), and higher PTSD-lower depression (Class 3). Covariates of distress tolerance, and different kinds of dissociative experiences differentiated the latent classes.

LIMITATIONS

Use of self-report measure could lead to response biases; and the specific nature of the sample limits generalizability of results.

CONCLUSION

We found evidence for a depressive subtype of PTSD differentiated from other classes in terms of lower distress tolerance and greater dissociative experiences. Thus, transdiagnostic treatment protocols may be most beneficial for these latent class members. Further, the distinctiveness of PTSD and depression at comparatively lower levels of PTSD severity was supported (mainly in terms of distress tolerance abilities); hence supporting the current classification system placement of these disorders.

Latent profiles of DSM-5 PTSD symptoms and the "Big Five" personality traits

Typologies of DSM-5 PTSD symptoms and personality traits were evaluated in regard to coping styles and treatment preferences using data from 1266 trauma-exposed military veterans of which the majority were male (n=1097; weighted 89.6%). Latent profile analyses indicated a best-fitting 5-class solution; PTSD asymptomatic and emotionally stable (C1); predominant re-experiencing and avoidance symptoms and less emotionally stable (C2); subsyndromal PTSD (C3); predominant negative alterations in mood/cognitions and combined internalizing-externalizing traits (C4); and high PTSD severity and combined internalizing-externalizing traits (C5). Compared to C5, C1 members were less likely to use self-distraction, denial, and substance use and more likely to use active coping; C2 and C4 members were less likely to use denial and more likely to use behavioral disengagement; C3 members were less likely to use denial and instrumental coping and more likely to use active coping; most classes were less likely to seek mental health treatment. Compared to C1, C2 members were more likely to use self-distraction, substance use, behavioral disengagement and less likely to use active coping; C3 members were more likely to use self-distraction, and substance use, and less likely to use positive reframing, and acceptance; and C4 members were more likely to use denial, substance use, emotional support, and behavioral disengagement, and less likely to use active coping, positive reframing, and acceptance; all classes were more likely to seek mental health treatment. Emotional stability was most distinguishing of the typologies. Other implications are discussed.

Anxious-depression among Hispanic/Latinos from different backgrounds: results from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL)

BACKGROUND

Anxious-depression is a constellation of symptoms, frequently encountered among patients in primary care centers. There is a need to study how anxious-depression presents among Hispanic/Latinos of different backgrounds.

OBJECTIVE

To study the construct of anxious-depression among 16,064 Hispanic/Latinos of different backgrounds participating in the Hispanic Community Health Study/Study of Latinos. We hypothesized that Hispanic/Latinos will cluster in 3 classes: low anxiety/high depression, high anxiety/low depression and a combined anxious-depression construct.

METHODS

Using latent profile analysis, symptoms of depression and anxiety measured by the 10-item Center for Epidemiologic Studies Depression Scale and 10-item State-Trait Anxiety Inventory were evaluated to determine if an anxious-depression typology would result. A multinomial logistic regression analysis explored the association of the 3-class solution with different Hispanic/Latino backgrounds controlling for age, gender, language, education and income.

RESULTS

A 3-class mixed anxious-depression structure emerged with 10% of Hispanic/Latinos in the high, 30% in the moderate and 60% in the low anxious-depression category. After adjusting for age, gender, language preference, income and education, individuals of Puerto Rican background were more likely to experience high (OR = 1.79, p < 0.05) and moderate (OR = 1.36, p < 0.05) (vs. low) anxious-depression symptomatology compared to those of Mexican background. Individuals of Central American and South American background were less likely to experience high (OR = 0.68, p < 0.05) and moderate (OR = 0.8, p < 0.05) (vs. low) anxious-depression compared to those of Mexican background.

CONCLUSION

Anxious-depression symptomatology varied among this sample of Hispanic/Latino groups. These classes should be investigated as to their relationship with different health outcomes relevant to the Hispanic/Latino of different backgrounds.

Latent profile analyses of posttraumatic stress disorder, depression and generalized anxiety disorder symptoms in trauma-exposed soldiers

Posttraumatic stress disorder (PTSD) is comorbid with major depressive disorder (MDD; Kessler et al., 1995) and generalized anxiety disorder (GAD; Brown et al., 2001). We aimed to (1) assess discrete patterns of post-trauma PTSD-depression-GAD symptoms using latent profile analyses (LPAs), and (2) assess covariates (gender, income, education, age) in defining the best fitting class solution. The PTSD Checklist (assessing PTSD symptoms), GAD-7 scale (assessing GAD symptoms), and Patient Health Questionnaire-9 (assessing depression) were administered to 1266 trauma-exposed Ohio National Guard soldiers. Results indicated three discrete subgroups based on symptom patterns with mild (class 1), moderate (class 2) and severe (class 3) levels of symptomatology. Classes differed in symptom severity rather than symptom type. Income and education significantly predicted class 1 versus class 3 membership, and class 2 versus class 3. In conclusion, there is heterogeneity regarding severity of PTSD-depression-GAD symptomatology among trauma-exposed soldiers, with income and education predictive of class membership.