Use of latent profile analysis to identify eating disorder phenotypes in an adult Australian twin cohort

CONTEXT: The relationships among the different eating disorders that exist in the community are poorly understood, especially for residual disorders in which bingeing or purging occurs in the absence of other behaviors. OBJECTIVE: To examine a community sample for the number of mutually exclusive weight and eating profiles. DESIGN: Data regarding lifetime eating disorder symptoms and weight range were submitted to a latent profile analysis. Profiles were compared regarding personality, current eating and weight, retrospectively reported life events, and lifetime depressive psychopathology. SETTING: Longitudinal study among female twins from the Australian Twin Registry in whom eating was assessed by a telephone interview. PARTICIPANTS: A community sample of 1002 twins (individuals) who had participated in earlier waves of data collection. MAIN OUTCOME MEASURES: Number and clinical character of latent profiles. RESULTS: The best fit was a 5-profile solution with women who were (1) of normal weight with few lifetime eating disorders (4.3%), (2) overweight (10.6% had a lifetime eating disorder), (3) underweight and generally had no eating disorders except for 5.3% who had restricting anorexia nervosa, (4) of low to normal weight (89.0% had a lifetime eating disorder), and (5) obese (37.0% had a lifetime eating disorder). Each profile contained more than 1 type of lifetime eating disorder except for the third profile. Women in the first and third profiles had the best functioning, with women in the fourth and fifth profiles having similarly poorer functioning. The women in the fourth group had a symptom profile distinctive from the other 4 groups in terms of severity; they were also more likely to have had lifetime major depression and suicidality. CONCLUSION: Lifetime weight ranges and the severity of eating disorder symptoms affected clustering more than the type of eating disorder symptom.     

Redefining phenotypes in eating disorders based on personality: a latent profile analysis

To conduct a latent profile analysis (LPA) in eating disorder (ED) patients using temperament and character (TCI-R) measures as indicators. 1312 ED patients including those with anorexia nervosa (AN), bulimia nervosa (BN) and EDNOS were assessed. The final LPA solution was validated using demographics, clinical variables, ED symptomatology (EDI-2) and impulsive behaviors. The best-fitting model consisted of a six-profile solution using the seven subscales of the TCI-R. These profiles were labeled: “self-focused”, “inhibited”, “average”, “impulsive”, “adaptive” and “maladaptive”. Validation analyses indicated that the “inhibited” and “maladaptive” profiles generally presented with the highest values for ED symptomatology and impulsive behaviors. Whereas high levels of Harm Avoidance and low levels of Novelty Seeking and Persistence characterized the “inhibited” profile, the “maladaptive” profile presented with low levels of Reward Dependence, Self-Directedness and Cooperativeness. The most favorable results on the other hand were exhibited by the “adaptive” profile, characterized by high scores on Reward Dependence, Self-Directedness, Cooperativeness and low levels on Novelty Seeking. Finally, when our six-profile solution was compared with the DSM-IV ED diagnoses, significant differences among profiles and ED diagnoses were observed. Our study shows that ED patients can be meaningfully grouped according to temperament and character.     

The structure of posttraumatic stress disorder: latent class analysis in 2 community samples

CONTEXT: Latent structure analysis of DSM-IV posttraumatic stress disorder (PTSD) can help clarify how persons who experience traumatic events might be sorted into clusters with respect to their symptom profiles. Classification of persons exposed to traumatic events into clinically homogeneous groups would facilitate further etiologic and treatment research, as well as research on the relationship of trauma and PTSD with other disorders. OBJECTIVES: To examine empirically the structure underlying PTSD criterion symptoms and identify discrete classes with similar symptom profiles. DESIGN: Data on PTSD symptoms from trauma-exposed subsets of 2 community samples were subjected to latent class analysis. The resultant classes were studied in associations with trauma type and indicators of impairment. SETTING: The first sample is from the Detroit Area Survey of Trauma (1899 trauma-exposed respondents with complete data) and the second is from a mid-Atlantic study of young adults conducted by The Johns Hopkins University Prevention Research Center, Baltimore, Md (1377 trauma-exposed respondents with complete data). PARTICIPANTS: Respondents in the 2 community samples who experienced 1 or more qualifying PTSD-level traumatic events. MAIN OUTCOME MEASURES: Number, size, and symptom profiles of latent classes. RESULTS: In both samples, analysis yielded 3 classes: no disturbance, intermediate disturbance, and pervasive disturbance. The classes also varied qualitatively, with emotional numbing distinguishing the class of pervasive disturbance, a class that approximates the subset with DSM-IV PTSD. Members of the pervasive disturbance class were far more likely to report use of medical care and disruptions in life or activities. CONCLUSIONS: The 3-class structure separates trauma-exposed persons with pervasive disturbance (a class that approximates DSM-IV PTSD) from no disturbance and intermediate disturbance, a distinction that also helps identify population subgroups with low risk for any posttrauma disturbance. The results suggest that the structure of PTSD is ordinal and configurational and that emotional numbing differentiates the class with pervasive disturbance. These results should motivate prospective research of persons who have experienced trauma to trace the emergence of posttrauma symptoms and the timing of emotional numbing relative to other symptoms.     

A person-centered analysis of posttraumatic stress disorder symptoms following a natural disaster: Predictors of latent class membership

The present study applied latent class analysis to a sample of 810 participants residing in southern Mississippi at the time of Hurricane Katrina to determine if people would report distinct, meaningful PTSD symptom classes following a natural disaster. We found a four-class solution that distinguished persons on the basis of PTSD symptom severity/pervasiveness (Severe, Moderate, Mild, and Negligible Classes). Multinomial logistic regression models demonstrated that membership in the Severe and Moderate Classes was associated with potentially traumatic hurricane-specific experiences (e.g., being physically injured, seeing dead bodies), pre-hurricane traumatic events, co-occurring depression symptom severity and suicidal ideation, certain religious beliefs, and post-hurricane stressors (e.g., social support). Collectively, the findings suggest that more severe/pervasive typologies of natural disaster PTSD may be predicted by the frequency and severity of exposure to stressful/traumatic experiences (before, during, and after the disaster), co-occurring psychopathology, and specific internal beliefs.     

Use of factor analysis to detect potential phenotypes in obsessive-compulsive disorder

This study aimed to identify symptom dimensions in obsessive-compulsive disorder (OCD) in order to reveal distinct clinical phenotypes. Factor analysis of the Yale-Brown Obsessive-Compulsive Scale (Y-BOCS) checklist on item level was performed on data from 335 outpatients with primary OCD. The relationship of demographic and clinical characteristics to the resulting factor scores was examined. A principal component analysis identified the following five consistent symptom dimensions: (1) contamination and cleaning, (2) aggressive, sexual and religious obsessions, (3) somatic obsessions and checking, (4) symmetry and counting/arranging compulsions and (5) high-risk assessment and checking. We observed significant differences in sex distribution, age of onset, Y-BOCS scores and familial prevalence of OCD in relation to the symptom dimensions. These findings provide further evidence for distinct clinical phenotypes in OCD.     

Patterns of victimization,suicide attempt,and posttraumatic stress disorder in Greenlandic adolescents: a latent class analysis

Aim

The current study had two main aims. The first was to identify groups of adolescents based on their similarity of responding across a number of victimizing and potentially traumatic events (PTEs). In doing so, we employed the statistical technique of Latent Class Analysis (LCA). The second aim was to assess the relationship between our resultant classes and the covariates of gender, suicide attempt, and PTSD.

Methods

Two hundred and sixty-nine Greenlandic school students, aged 12–18 (M = 15.4, SD = 1.84) were assessed for their level of exposure to PTEs. In addition, adolescents were assessed for the psychological impact of these events. A LCA was performed on seven binary indicators representing PTEs. Logistic regression was subsequently implemented to ascertain the relationships between latent classes and covariates.

Results

Three distinct classes were uncovered: a violence, neglect, and bullying class (class 1), a wide-ranging multiple PTE class (class 2), and a normative/baseline class (class 3). Notably, classes 1 and 2 were largely separated by the presence or absence of sexual PTEs. Individuals who reported having previously attempted suicide were almost six times more likely to be members of class 1 (OR = 5.97) and almost four times more likely to be members of class 2 (OR = 3.87) compared to the baseline class (class 3). Individuals who met the diagnostic criteria for PTSD were five times as likely to be members of class 1 and class 2 (OR = 5.09) compared to the baseline class. No significant associations were found between classes and gender.

Conclusion

The results underline the complexity of the interplay between multiple victimization experiences, traumatization, and suicide attempts.     

A new look at inter-informant agreement on conduct disorder using a latent class approach

This study examined agreement on aggressive and nonaggressive conduct disorder in a general population sample of 14- to 17-year-old adolescents (n=1165) and their mothers. We collected diagnostic interview data and applied latent class analyses to estimate inter-informant agreement. The preferred model for aggressive conduct disorder for both males and females was a one-latent-variable/two-class model specifying no inter-informant disagreement beyond chance expectations. This model estimated the prevalence of aggressive conduct disorder to be 13% for males and 0.4% for females. For nonaggressive conduct disorder, a one-latent-variable/three-class model specifying asymmetric agreement was preferred for both males and females. This model estimated the prevalence of nonaggressive conduct disorder in adolescents to be 18% according to males and 13% according to mothers. Prevalence estimates were 12% according to females and 7% according to mothers. Symptom sensitivity estimates for all models were poor whereas specificity estimates were near perfect to perfect. Males had higher rates of aggressive and nonaggressive conduct disorder across informants. There was a high level of adolescent-mother agreement on both types of conduct disorder. However, there were some differences, suggesting that aggressive and nonaggressive are two valid subtypes of conduct disorder with different prevalence estimates and agreement levels.     

A qualitative analysis of male eating disorder symptoms

Insights into how males experience eating disorder symptoms early in the course of illness are important to improve detection efforts and may also provide valuable information for treatment. In this qualitative study, 10 adolescent males and 10 matched female patients completed standardized questionnaires and were interviewed. Results indicated that although there were many similarities between the genders, females were more likely to describe the involvement of family systems and males were more likely to describe involvement in sports as being catalysts for their disorders. Males in this study were more positive about being in treatment.     

Assessment of handedness using latent class factor analysis

Recently several studies in which handedness was evaluated as a latent construct have been performed. In those studies, handedness was modelled using a qualitative latent variable (latent class models), a continuous latent variable (factor models), or both a qualitative latent variable and a continuous latent trait (mixed Rasch models). The aim of this study was to explore the usefulness and effectiveness of an approach in which handedness is treated as a qualitatively scaled latent variable with ordered categories (latent class factor models). This aim was pursued through an exploratory analysis of a dataset containing information on the hand used by 2236 young Italian sportspeople to perform 10 tasks. For comparison purposes, a latent class analysis was carried out. A cross-validation procedure was implemented. The results of all the analyses revealed that the best fit to the observed handedness patterns was obtained using a latent class factor model. Through this model, individuals were assigned to one of four ordered levels of handedness, and a quantitative index of left-handedness for each individual was computed by taking into account the different effect of the 10 tasks. These results provide support for the use of the latent class factor approach for handedness assessment.     

The latent structure of attention-deficit/hyperactivity disorder: a taxometric analysis

OBJECTIVE: To test whether the latent structure of attention deficit/hyperactivity disorder (ADHD) is best understood as categorical or dimensional in samples of 1774 children (aged 6-12 years) and 1222 adolescents (aged 13-17 years) drawn from an Australian epidemiological study. METHOD: Two taxometric procedures (MAXEIG and MAMBAC) examined ADHD symptom measures assessed by diagnostic interview and parental ratings. RESULTS: Consistent with behavioural genetic research, findings fail to support the view that a latent category underpins ADHD. CONCLUSIONS: ADHD is best modelled as a continuum among both children and adolescents, and no discrete dysfunction can therefore be assumed to cause it. The placement of the diagnostic threshold should therefore be decided on pragmatic grounds (e.g. impairment or need for treatment).     

Psychosocial barriers to engagement with an eating disorder service: a qualitative analysis of failure to attend

Patient non-attendance and failure to engage with health services may be costly to the individual in terms of the delays in obtaining appropriate treatment and the unnecessary suffering and discomfort this may entail. Non-attendance is also costly to health services because of administrative and clinical time lost and the opportunity costs of not treating other patients. Patients who have been referred to eating disorders clinics by general practitioners appear to have high rates of non-attendance or dropping out immediately after assessment. The reasons behind their failure to engage are poorly understood. After undertaking a comprehensive audit in a major eating disorder unit in London we undertook a qualitative study of non-attenders in order to obtain the reasons behind non-engagement. We found that while participants tend to open their explanations with practical difficulties (e.g., child-minding) or service- related factors, what commonly emerged from their narratives were profound social-psychological problems and the ambivalence of confronting or losing a relationship with food that was both comforting and debilitating. Some participants described a world of imprisonment which precluded the likelihood of firm engagement with services. We suggest that such people may require better identification and outreach provision.     

Lifespan attention deficit/hyperactivity disorder and borderline personality disorder symptoms in female patients: a latent class approach

Attention-deficit/hyperactivity disorder (ADHD) and borderline personality disorder (BPD) are frequently comorbid. To contribute to a better understanding of the associations regularly found between ADHD and BPD, on the one hand, and the developmental pathways for these disorders, on the other hand, latent class analyses (LCA) were undertaken to identify classes differing in profiles of childhood symptoms of ADHD and adult symptoms of ADHD and BPD. Diagnostic interviews with 103 female outpatients meeting the criteria for ADHD and/or BPD were used to assess current DSM-IV symptoms; childhood symptoms of ADHD were assessed in parent interviews. The latent classes were examined in relation to the DSM-IV conceptualizations of ADHD and BPD. And relations between childhood and adult classes were examined to hypothesize about developmental trajectories. LCA revealed an optimal solution with four distinct symptom profiles: only ADHD symptoms; BPD symptoms and only ADHD symptoms of hyperactivity; BPD symptoms and ADHD symptoms of inattention and hyperactivity; BPD symptoms and ADHD symptoms of inattention, hyperactivity and impulsivity. All patients with BPD had some ADHD symptoms in both adulthood and childhood. Hyperactivity was least discriminative of adult classes. Adult hyperactivity was not always preceded by childhood hyperactivity; some cases of comorbid ADHD and BPD symptoms were not preceded by significant childhood ADHD symptoms; and some cases of predominantly BPD symptoms could be traced back to combined symptoms of ADHD in childhood. The results underline the importance of taking ADHD diagnoses into account with BPD. ADHD classification subtypes may not be permanent over time, and different developmental pathways to adult ADHD and BPD should therefore be investigated.     

Factors influencing the utilization of empirically supported treatments for eating disorders

This study expands upon previous research investigating the use of empirically supported treatments (ESTs) for eating disorders by surveying a large sample of clinicians who specialize in treating eating disorders. Surveys developed for this study were sent to 698 members of a large, professional, eating disorder organization who were listed as treatment providers on the organization's website. Despite clinicians reporting frequently using CBT techniques, most identified something other than CBT or IPT as their primary approach to treatment. In contrast with previous research, the majority had received prior training in the use of manual-based treatments. However, consistent with previous investigations, most denied regular use of such treatments. Although manual-based CBT and IPT are referred to as "treatments of choice," professional clinicians in the field are not consistently using them. Responses suggest several barriers to the utilization of ESTs in practice.     

Typical symptom change patterns and their predictors in patients with social anxiety disorder: A latent class analysis

ObjectivesThe use of trajectories and analysis of change patterns is a promising way toward better differentiation of subgroups in psychotherapy studies. Research on change patterns in social anxiety disorder (SAD) are still rare, although SAD is one of the most common mental disorders. In a secondary analysis of data from the SOPHO-NET-trial (ISRCTN53517394) this study aimed to investigate change patterns and their predictors in a sample of SAD patients.MethodsPatients with SAD (N = 357) were randomly assigned to cognitive-behavioral or psychodynamic therapy. The Liebowitz Social Anxiety Scale (LSAS) was assessed at 1^st session (pre), 8th session, 15th session and at the end of treatment (post). We used latent state variables and latent class analysis for the classification of change patterns and logistic regression for the identification of different predictors.ResultsAnalyses revealed three typical patterns: (i.) responders with a high initial impairment (N = 57), (ii.) responders with a moderate initial impairment (N = 225), and (iii.) patients with a high initial impairment and no remission (N = 75). Among other significant predicators, patient´s attachment anxiety and therapeutic alliance at session eight contributed to the prediction of change patterns.DiscussionPsychotherapy of SAD should consider patient’s attachment and focus on the establishment of a solid therapeutic alliance in an early therapy stage.     

Binge eating disorder: a stable syndrome

OBJECTIVE: This study assessed the stability of binge eating disorder in a community sample. METHOD: The authors interviewed 888 first-degree relatives of 300 overweight or obese probands (150 with binge eating disorder and 150 with no lifetime eating disorder) who were recruited during a family study. They compared the total duration of illness among relatives with lifetime diagnoses of binge eating disorder (N=131), bulimia nervosa (N=17), and anorexia nervosa (N=18). RESULTS: The mean lifetime duration of binge eating disorder was 14.4 years (SD=13.9), significantly longer than for either bulimia nervosa (mean=5.8 years, SD=9.1) or anorexia nervosa (mean=5.9 years, SD=7.4). These differences changed little when analysis was restricted to female relatives or to relatives of the probands with no lifetime eating disorder. CONCLUSIONS: These findings suggest that binge eating disorder is at least as chronic as the well-validated disorders anorexia nervosa and bulimia nervosa and likely represents a stable syndrome.     

Genetic latent structure analysis of dysmorphology in attention deficit disorder

Dysmorphology--in the form of minor physical anomalies--has been frequently reported in children with attention deficit disorder (ADD). The authors report an overrepresentation of minor physical anomalies in both ADD probands and their first-degree relatives. Further, ADD probands who are not dysmorphic have non-ADD relatives who are dysmorphic; this familial pattern suggests that a single underlying factor may influence transmission of both traits. A genetic latent structure model was fit to these data to describe the factor's mode of transmission. In this analysis, an autosomal dominant model emerged. Successfully fitting this model is not equivalent to testing the validity of the model itself. Meaningful tests of the model will require larger samples than available at present, and would benefit from diagnostic refinement of the ADD and dysmorphic phenotypes.     

Profile analysis of treatment effect changes in eating disorder indicators

We investigated differential treatment effects on specific eating disorder (ED) indicators to enhance conclusions about treatment efficacy. Profile Analysis via Multidimensional Scaling, which identifies core profiles in a population and interprets person profiles with core profile information, was utilized to identify core profiles from a sample of 5,177 patients who were repeatedly measured with the ED inventory‐2 at admission and at discharge. To assess differential treatment effects for individual ED indicators, we compared the core profiles at admission with those at discharge. Three core profiles were identified and labeled as High Body Dissatisfaction with Low Bulimia (Core Profile 1), High Interoceptive Awareness with Low Body Dissatisfaction (Core Profile 2), and High Ineffectiveness with Low Bulimia (Core Profile 3). Treatment had the greatest effects on Core Profile 2. The patients whose profile patterns were similar to that of Core Profiles 1 and 2 were positively related with weight gain. However, treatment was least on Core Profile 3, and the patients whose profile patterns were like that of Core Profile 3 were negatively related with weight gain. In conclusion, those patients who fit Core Profile 3 may benefit from different treatment modalities than those that are standard in inpatient settings.