Friday Factoids: Myths and Truths about Anxiety Disorders

 

How much do you know about anxiety? Have you bought into any of these myths? Here’s some information that might help!

 

Myth

Truth

If I have a bad panic attack, I will pass out/faint. It is very unlikely you will faint during a panic attack.   Fainting is typically caused by a sudden drop in blood pressure and, during a   panic attack, blood pressure actually rises slightly.
I should just avoid situations that stress me out. Avoiding anxiety tends to reinforce the anxiety. When   individuals avoid anxiety-provoking situations, they continue to believe they   cannot manage or cope with those situations.
I’ll carry a paper bag in case I hyperventilate. Paper bags (similar to as-needed medications) can become a   safety crutch for anxiety.
Medication is the only treatment for my anxiety. Therapy can also help to reduce worry and anxiety. In   fact, research shows that a combination of cognitive-behavioral therapy (CBT)   and medication can be the most effective treatment.
I’m just a worrywart and nothing can really help me. Therapy can help anyone to learn a different relationship   with their own thoughts, emotions, and behaviors.
If I eat well, exercise, avoid caffeine, and live a   healthy lifestyle, my anxiety will just go away. Healthy living can help with worry and anxiety; however,   it cannot cure an anxiety disorder.

“You need more help than just reducing your stress. You   may need to face your fears, learn new facts about your symptoms, stop   avoiding, learn tolerance for some experiences, or change how you think,   feel, and behave with respect to other people.”

My family is always reassuring and help me avoid stress,   which helps me. Similar to the paper bags, well-meaning friends and family   can contribute to and prolong anxiety. Encouraging and supportive friends and   family can better help by assisting an individual through anxiety and   discomfort rather than helping avoid.

 

Would you like some resources for anxiety? Some organizations with helpful resources include National Alliance on Mental Illness (NAMI), Anxiety and Depression Association of America (ADAA), International Obsessive Compulsive Disorder Foundation, Association for Behavioral and Cognitive Therapy, and National Institute of Mental Health (NIMH).

 

Anxiety and Depression Association of America. (2015). “Myth-conceptions,” or common fabrications, fibs, and folklore about anxiety.

 

Brittany Best, MA
WKPIC Doctoral Intern

 

Friday Factoids: Balance Between “Alone Time” and “Isolation”

 

In our society today, we are constantly connected to people near and far through technology and social media. Here at the hospital, we discuss improving social supports and interactions. Additionally, isolation can be a red flag. However, some interesting research indicates that some alone time may be beneficial for health and wellbeing.

 

Spending time on your own may:

 

  1. Make you more creative.
    “Decades of research have consistently shown that brainstorming groups think of far fewer ideas than the same number of people who work alone and later pool their ideas,” Keith Sawyer, a psychologists at Washington University in St. Louis.
  2. Make you work harder.
    The concept of “social loafing” suggests that people put in less effort when others are involved in the task.
  3. Be the key to your happiness (IF you are an introvert).
    “For introverts, most social interactions take a little out of that cup instead of filling it the way it does for extroverts. Most of us like it. We’re happy to give, and love to see you. When the cup is empty though, we need some time to refuel.” Kate Bartolotta, Huff Post blogger.
  4. Help you meet new people.
    Participating in activities on your own may help you meet people with similar interests.
  5. Help with depression (especially for teenagers).
    A study found that “Adolescents.. who spent an intermediate amount of their time alone were better adjusted than those who spent little or a great deal of time along,” Reed W. Larson, emotional development expert.
  6. Clear your mind.
    “Constantly being ‘on’ doesn’t give your brain a chance to rest and replenish itself,” Sherrie Bourg Carter.
  7. Help you do what you want to do.
    Nobody else to please!

 

Weingus, Leigh. (2015). ‘Alone time’ is really good for you.

 

Brittany Best, MA
WKPIC Doctoral Intern

 

 

Peer Support: Relationships in Recovery

Peer Support training states that there are ten guiding principles of recovery.  One of these is the “relational” principle.  It tells us that an individual’s chances of recovery are greatly increased if he or she has a strong foundation of support at home and in the community.  This can be a difficult principle to achieve for many, as people often find themselves isolated when they leave institutions.  Some patients have burned bridges they feel can’t be repaired.  Family members may have abandoned them.  In some cases, family wants to be involved, but with privacy laws, they are unable to help the patient regulate mediation or keep in touch with the patient’s doctors to find out about any progress or regression.  Some patients entered the hospital not only because of mental illness, but also because of stress put on them from toxic people, sometimes family.

 

According to the Kentucky Peer Support training, through healthy relationships, a person with a mental illness or substance abuse disorder can find roles which can give him or her purpose through social interaction.  Being a volunteer, a student, an employee, or a peer support can make one feel a greater sense of self and give one a better outlook on life.  Becoming a part of an advocacy group can help others while empowering the individual as well.

 

When a mentally ill person or a person diagnosed with a substance abuse disorder cannot find support in a faith-based institution or with family, there are other organizations on which to lean.  The National Alliance on Mental Illness has chapters across the country and may have support groups or day-time programs. There are also volunteer possibilities through them.  The Depression and Bipolar Support Alliance (dbsalliance.org) also gives opportunities for people living with these illnesses to become facilitators of support groups and to volunteer and advocate on behalf of others with mental illnesses.  The Schizophrenia and Related Disorders Alliance of America (sardaa.org) is yet another group.

 

There are many possibilities for a mentally ill person to integrate into the community, even if it is through social media at first.  Any connection to groups of people with similar experiences helps.  Any connections that allow for socialization and the promotion of friendships will help an individual in his or her recovery journey.  The “relational” aspect of the recovery process is an important one.

 

 

Rebecca Coursey, KPS
Peer Support Specialist

Diagnosing Autistic Spectrum Disorder: Differences Between Boys and Girls?

Diagnosing Autistic Spectrum Disorder: Differences Between Boys and Girls?

 

A recent study conducted by researchers at the Kennedy Krieger Institute in Baltimore, MD, has found that girls are diagnosed with Autistic Spectrum Disorder (ASD) later than boys. Data was obtained by reviewing the institute’s Interactive Autism Network, which is an online registry that includes nearly 50,000 individuals and family members affected by ASD.  The researchers examined gender differences regarding the age of an ASD diagnosis and symptom severity. Of the participants in the registry, the age of diagnosis was available for 9, 932 children. Of the participants in the registry, 5,103 were available to be assessed for symptom severity as they had completed the Social Responsiveness Scale, an instrument that assesses the presence and severity of social impairments.

 

The data review yielded results stating that girls were diagnosed with Pervasive Developmental Disorder, a type of ASD, at a mean age of 4.0 years; boys were diagnosed with it at 3.8 years. Girls were diagnosed with Asperger’s Syndrome, which affects language and behavioral development, at a mean age of 7.6 years, as compared to 7.1 years for boys.

One possible explanation is that females often exhibit less severe symptoms than males; therefore ASD is often less recognizable with girls than boys. The researchers suggest that girls tend to struggle more with issues related to social cognition and impairments in interpreting social cues, while boys tend to exhibit more severe mannerisms, such as repetitive behaviors (e.g., hand flapping) and/or highly restricted interests.  The researchers suggest improving screening methods as a way to diagnosis ASD more effectively, in addition to increasing public awareness.

 

Faisal Roberts, M.A.

WKPIC Doctoral Intern

 
Nauert PhD, R. (2015). Autism Diagnosis Made Later in Girls. Psych Central. Retrieved on April 30, 2015, from http://psychcentral.com/news/2015/04/29/autism-diagnosis-made-later-in-girls/84057.html

Article Review: Quick Personality Assessment Schedule (PAS-Q): Validation of a brief screening test for personality disorders in a population of psychiatric outpatients.

Review by:

Faisal Roberts M.A.

WKIPC Psychology Intern

 

The presence of a personality disorder (PD) can profoundly impact an individual’s quality of life in addition to the management of comorbid mental health issues, therefore screening for PDs should be an integral part of the mental health evaluation process. Although somewhat subjective and imperfect, standardized clinical interviews (SCI) are currently considered to be the most reliable and valid methods available to screen for PDs. However, SCIs can be time consuming. While self-report instruments can be effective regarding efficiency and time conservation, the drawbacks are that a self-report inventory may have relatively poor specificity (bereft of elaboration from a clinician), the patients must possess, at minimum, a fundamental reading level, and the possibility of patient fatigue due to having to read and concentrate during the self-report assessment. The authors of this article suggest a compromise between an SCI and a self-report assessment in the form of a brief structured interview.

 

For this study, the authors employed the Quick Personality Assessment Schedule (PAS-Q), which is a brief structured interview that takes approximately 15 minutes to complete. The PAS-Q begins with open questions regarding character traits, personality traits, interpersonal relationships, occupational performance, substance use issues, and legal history. The next area, comprised of eight general sections, assesses constructs relevant to PDs: 1) Suspiciousness & Sensitivity (Paranoid PD); 2) Aggression & Callousness (Antisocial PD); 3) Aloofness & Eccentricity (Schizoid PD); 4) Impulsive & Borderline (Borderline PD); 5) Childishness & Lability (Histrionic PD); 6) Conscientiousness & Rigidity (Obsessive Compulsive PD); 7) Anxiousness & Shyness (Avoidant PD); and, 8) Resourcefulness & Vulnerability (Dependent PD). In order to identify a PD each section begins with two screening questions; positive responses to these screening questions leads to additional exploratory questions probing for PD symptoms, leading to scoring the characteristics in question. The intervieweer not only uses the information obtained from the PAS-Q, but also relevant historical/background information from the patient. The PAS-Q is scored according to four levels of severity ranging from 0 to 3: 0 = no severity; 1 = personality difficulty; 2 = simple PD; and, 3 = diffuse or complex PD.

 

The present study focuses on the validity of the PAS-Q. The purpose of examining the PAS-Q was derived from the following considerations: 1) the PAS-Q is based on the universally accepted ICD-10 categories (as opposed to the majority of the available PD screeners, which are predominantly based on the DSM classification system); 2) the PAS-Q does not focus on the prediction of any PD (as the majority of PD screening instruments do), but provides the opportunity to obtain more specific prognoses of distinct PDs; and, 3) the PAS-Q response scales are not limited to a simple dichotomy (i.e., absence or presence of PD symptoms) but instead allow for increased nuances corresponding with level of severity. The researchers chose the Structured Clinical Interview for DSM-IV – II (SCID-II) to serve as the basis of comparison as it is internationally the most widely use and best known measure to assess for PDs (the SCID-I examines Axis I Disorders, while the SCID-II examines Axis II disorders–which includes PDs).

 

Materials and Methods

 

For this study, the researchers randomly recruited 207 participants from a large community mental health center in the city of Tilburg, the Netherlands. However, 12 participants dropped out during the study. Of the 195 participants that completed the study, 112 were female (57.4 %) and 83 were male (42.6 %). The mean age of the participants was 32.7 years. The researchers utilized both the PAS-Q and the SCID-II in order to evaluate the participants. The PAS-Q was completed first; subsequently the SCID-II was completed 1-2 weeks later. The PAS-Q was then completed a second time 2-3 weeks later. The same clinician evaluated all the participants in order to eliminate extraneous variables regarding evaluator differences. The test-retest reliability of each item on the PAS-Q, in addition to the overall score, was estimated using Pearson correlation coefficients. The dimensionality of the PAS-Q was assessed using factor analysis. The effect of changes in the cut-off score of the PAS-Q for the purpose of predicting SCID-II diagnoses were assessed using receiver operating characteristic (ROC) analysis.

 

Results

Although the study began with 207 participants, 12 dropped out, resulting in 195 participants that completed the study.  Based on the SCID-II, a total of 97 of the 195 (50 %) participants received a PD diagnosis. In the group of participants with PD, the mean number of PDs was 1.8. The test-retest coefficient for the total score yielded a high score of 0.92. The section of Aloofness & Eccentricity had the lowest stability; the sections of Aggression & Callousness, Borderline, and Childishness & Lability had the highest stability over time.  Overall internal consistency, as reflected by Cronbach alpha coefficient, for the total PAS-Q scale was 0.35. Internal consistency coefficients were low, ranging from 0.16 (Borderline) to 0.47 (Conscientiousness & Rigidity). These scores are suggestive that a high degree of heterogeneity exists between the different sections. The scores of the factor analysis were as follows: 0.43 (regarding the positive connections between Aggression and Impulsiveness & Borderline), 0.50 (regarding Resourcefulness & Vulnerability and Anxiousness & Shyness), and 0.40 (regarding Aloofness & Eccentricity and Suspiciousness and Sensitivity). The ROC analysis was used to determine the effect of the changing cut-off score on the PAS-Q in predicting a SCID-II PD diagnosis. The ROC scores, as demonstrated graphically by a curve (the ROC curve), had an area-under-the-curve of 83 % (with a 95 % confidence interval). This is stating that the cut-off score correctly identified 81 % of the participant pool as correctly having a PD.

 

Discussion:

In 81 % of the cases the PAS-Q was able to correctly identify the presence of a PD. The researchers state that its low overall consistency should not be interpreted that the PAS-Q is a test that performs poorly. The researchers suggest that latent variables between the sets of items may be implicated in the low homogeneity of the sections. Overall, the researchers were pleased with the outcome of the PAS-Q, believing that it can be a useful tool to identify PDs in adult psychiatry. They suggest that patients that receive a score of 2 (or higher) should be interviewed detailed structured, or semi-structured, interview for PDs.

 

A perceived limitation of the applicability of the study (regarding use in the United States) is that the PAS-Q only assessed for 8 of the recognized 10 personality disorders from the DSM classification system. Although this is not considered a limitation of the study itself, since an objective of the study was to assess the validity of an instrument grounded in the ICD-10 classification system (and it accounts for the eight primary PDs recognized by the ICD-10). The authors also did not disclose the success rate of the comparative method, the SCID-II. The data regarding which of the participants had a PD was already obtained as all of the participants were preexisting members of the community mental health agency. Therefore the success rate of 81 % from the PAS-Q was held against the prerecorded diagnoses of the patients from the mental health clinic. The article did not mention the success rate of the SCID-II (unless it was to be assumed that the SCID-II had a success rate of 100 % since that was, presumably, the method in which the mental health clinic obtained their diagnoses in the first place). Finally, while the fact that a single interviewer conducted all the interviews is considered a strength of the study, it can also simultaneously be considered a weakness due to time constraints. The clinician conducted all the interviews was forced to conduct a high number of interviews in a relatively low amount of time, therefore some interviews may have been rushed, in addition to the fact that the participants’ background information was not reviewed for any of the cases.

 

Germans, S., Van Heck, G., Hodiamont, P. (2011). Quick Personality Assessment Schedule (PAS-Q): Validation of a brief screening test for personality disorders in a population of psychiatric outpatients.

Australian and New Zealand Journal of Psychiatry, 45, 9, p 756-762