Summary of Pachankis, J.E., & Goldfried, M.R. (2004) Clinical Issues in Working with Lesbian, Gay, and Bisexual Clients

 

 

 

Heterocentrism, or the bias against the Lesbian, Gay, Bisexual, Transgendered, or Questioning (LGBTQ) population, can be seen at every level of our society, from laws restricting the rights and opportunities of LGBTQ individuals to homophobia manifested in face-to-face prejudice. Homophobia can even be turned inward, toward the self.

 

 

“Internalized homophobia” is seen when an LGBTQ individual assumes the negative bias of society against his/herself, often leading to anger and/or shame.  In a therapeutic setting, these beliefs present as anxiety, depression, relationship difficulties, suicide ideation, and the devaluation of LGBTQ activities.  Prejudices can be acted upon by even the most well-intentioned clinicians in various ways: assuming the client is heterosexual or excessive focus on orientation of the client, even if it is not an issue at hand.

 

 

Important issues that may require a clinician’s assistance have been identified by Clark (1987) as “encouraging LGB[TQ] clients to establish a support system of other LGB[TQ] individuals, helping clients become aware of how oppression has affected them, desensitizing the shame and guilt surrounding homosexual thoughts, behaviors, and feelings, and allowing clients’ expression of anger in response to being oppressed.” Identity development, couple relationships and parenting, families of origin and families of choice, as well as other relevant issues are of particular importance and can be especially difficult for LGBTQ individuals (Pachankis& Goldfried, 2004). It is the ethical responsibility of clinicians to be familiar with these issues and ensure their competency in addressing these with LGBTQ clients.

 

 

For more information about topics salient to the LGBTQ community as well as current research, please visit the American Psychological Association’s Division 44: Society for the Psychological Study of Lesbian, Gay, Bisexual, and Transexual Issues website

 

 

References

Pachankis, J.E., & Goldfried, M.R. (2004). Clinical issues in working with lesbian, gay, and bisexual clients. Psychotherapy: Theory, Research, Practice, Training,  41(3), 227-246.

 

 

Cassandra A. Sturycz, B.A.
Psychology Student Intern

 

 

Article Summary of Risk Factors for Violence in Psychosis: Systematic Review and Meta-Regression Analysis of 110 Studies

 

 

Witt, van Dorn, and Fazel (2013) noted many inconsistencies and varying emphases in the current literature on the association of violence and psychosis. This led the researchers to perform a meta-analyses of the current literature base, essentially combining all current studies on violence risk and psychosis into one helpful summary. The authors noted this task is important to the field for several reasons. First, combining and analyzing this information would hopefully help to develop evidence-based approaches to risk assessment. Next, this information can help focus treatment with relevant populations to the most pertinent risk factors, while simultaneously enhancing protective factors. Finally, consolidating this information can help clinicians and researchers better understand why certain individuals with psychosis have a higher risk of violence.

 

Six major databases were searched from their inception until December 2011. For some databases, this meant going back as far as 1960. Non-English articles were translated by qualified post-graduate students. For inclusion, diagnoses had to be assigned based on Diagnostic and Statistical Manual of Mental Disorders (DSM) or International Classification of Diseases (ICD) criteria, and more than 95% of study participants were aged 18 or older and diagnosed with either schizophrenia, schizophreniform disorder, schizoaffective disorder, delusional disorder, schizotypal disorder, psychosis not otherwise specified, and bipolar disorder. It is important to note that psychoses as the result of medical conditions, substance intoxication, or substance withdrawal were excluded from the collected data. Studies were excluded if the focus was on genetic or epigenetic associations with violence, childhood violence, or offender populations. Furthermore, items were only included in the data collection process if the risk factor was included in three or more separate studies, which helped improve the validity of risk estimates. Risk factors were separated by time in that “recent” factors were those that occurred within the past year from the time of the original study, while “history of” factors were those that occurred at some point in the past, more than one year from the time of the original study. Data collected from each study may have been reported in different measurements; therefore, all collected data was converted to an odds ratio (ORs). For each factor identified, ORs, 95% confidence intervals, number of studies, the z score, number of violent participants, and total number of participants were reported.

 

A total of 110 studies that included 73 independent samples met inclusion criteria. This equated to a large number of participants (n=45,533) of whom 18.5% (8,439) were reported to be violent. Just over 85% of participants were diagnosed with schizophrenia, just under 12% were diagnosed with other psychoses, and 0.4% were diagnosed with bipolar disorder. The age of participants ranged from 21.1 to 54.3 years, with the average age of 35.8 years. The data included studies conducted in 27 countries.

 

Overall, the strongest domains associated with violence include the criminal history, substance misuse, demographic, and premorbid factors. When analysis was restricted to inpatient samples, the substance misuse domain was significantly associated with violence, but less so compared to the findings in the overall analysis. Additionally, analysis restricted to inpatient samples found the psychopathology and positive symptom domains were more strongly associated with violence, while the negative symptom, neuropsychological, demographic, premorbid, suicidality, and treatment-related domains were not significantly associated with risk of violence when compared to the overall analysis. The finding of differences in factors associated with violence among inpatient samples versus community samples could lend itself to the field developing different violence risk assessment approaches depending on whether the individual is in inpatient or outpatient treatment currently. A rather interesting finding was the association of previous suicide attempts with violence, especially considering most current and commonly used violence risk assessments do not usually include assessment of suicide. The authors speculate that history of previous suicide attempts was associated with violence, while experiencing suicidal ideation was not, because impulsivity may be a contributing factor to violence toward self and violence toward others. The authors close by identifying the most important factors to attend to during violence risk assessments: hostile behavior, poor impulse control, lack of insight, general symptom scores, recent alcohol and/or drug misuse, psychotherapy non-compliance, and medication non-compliance.

 

The major findings are described below in outline format for easy reference.

  • Demographic Factors
    • Strongly associated with violence:
      • History of being violently victimized
    • Moderately associated with violence:
      • Recent homelessness or history of homelessness
      • Male
    • Weakly associated with violence:
      • Member of ethnic minorities
      • Currently having a lower socioeconomic status
    • NOT significantly associated with violence:
      • Received no more than a primary school education
      • Received no more than a high school education
      • Lower family socioeconomic status during childhood
      • Shorter duration of education in years
      • Lacking any formal education qualifications
      • Currently living in an urban environment
      • Currently living alone
      • Unmarried
      • Widowed or divorced
      • Currently unemployed
      • Having children
      • Younger age at study enrollment in years
  • Premorbid Factors
    • Moderately associated with violence:
      • History of childhood physical or sexual abuse
      • Parental history of criminal involvement
      • Parental history of alcohol misuse
    • NOT significantly associated with violence:
      • Experienced the death of one parent during childhood
      • Experienced divorce or separation of parents during childhood
      • Raised by a single parent
  • Criminal History Factors
    • Significantly associated with violence:
      • History of assault
      • History of imprisonment for any offense
      • Recent arrest or history of arrest for any offense
      • History of conviction for a violent offense
      • History of violent behavior
      • Hostility during the study period
  • Psychopathological Factors
    • Strongly associated with violence:
      • Lack of insight
      • Poor impulse control
    • Moderately associated with violence:
      • Diagnosis of comorbid antisocial personality disorder
      • Higher total Positive and Negative Symptom Scale (PANSS) scores
    • NOT significantly associated with violence:
      • Diagnosed with bipolar disorder
      • Diagnosed with any subtype of schizophrenia
      • Diagnosed with schizoaffective disorder
      • Diagnosed with psychotic disorder not otherwise specified
      • Younger age of onset in years
  • Positive Symptom Factors
    • Associated with violence:
      • Higher positive symptom scores
    • NOT significantly associated with violence:
      • Experienced paranoid thoughts
      • Experienced delusions of any type
      • Experienced auditory hallucinations, including command auditory hallucinations
      • Acutely symptomatic
  • Negative Symptom Factors
    • NOT significantly associated with violence:
      • Higher poor attention span scores
      • Diagnosed with comorbid depression
  • Neuropsychological Factors
    • NOT significantly associated with violence:
      • Lower Full Scale IQ scores on the Wechsler Adult Intelligence Scale (WAIS)
      • Lower Performance IQ scores on the WAIS
      • Lower Verbal IQ scores on the WAIS
      • Lower scores on the Picture Completion subtest of the WAIS
      • Lower total scores on the National Adult Reading Test (NART)
      • Higher perseverative errors on the Wisconsin Card Sorting Test
  • Substance Misuse Factors
    • Strongly associated with violence:
      • History of polysubstance misuse
      • Diagnosis of comorbid substance use disorder
      • Recent substance misuse
    • Moderately associated with violence:
      • Recent or history of alcohol misuse
      • History of substance misuse
      • Recent or history of drug misuse
  • Treatment-Related Factors
    • Strongly associated with violence:
      • Psychotherapy treatment non-compliance
    • Moderately associated with violence:
      • Medication non-compliance
    • NOT significantly associated with violence:
      • Not having a prescription of antipsychotic medication of any type
      • Higher antipsychotic dosage
      • Shorter duration of antipsychotic treatment in months
      • Shorter duration of current inpatient admission in months
      • Shorter duration of current outpatient treatment in months
      • Younger age at first psychiatric inpatient admission in years
      • Greater number of previous psychiatric admissions
      • Longer duration of untreated illness in years
  • Suicide Factors
    • Moderately associated with violence:
      • History of previous suicide attempts
    • NOT significantly associated with violence:
      • History of experiencing suicidal ideation
      • History of self-harm

Witt, K., van Dorn, R., & Fazel, S. (2013). Risk factors for violence in psychosis: Systematic review and meta-regression analysis of 110 studies. PLOS One, 8(2), 1-15.

 

Danielle M. McNeill, M.S., M.A.
Doctoral Intern

 

 

Friday Factoids: Seasonal Affective Disorder

 

In the parts of the country currently in the depths of winter, people may be experiencing cases of the “winter blues.”

 

Very often people notice increases moodiness and a lack of energy beginning in fall and lasting through the winter. This may be due to Seasonal Affective Disorder (SAD).  Seasonal Affective Disorder most commonly occurs during the winter and fall, but can also be experienced during the summer. According to the Mayo Clinic, the symptoms of SAD (quite an appropriate acronym) that occurs during fall and winter are similar to those of other depressive disorders: depression, hopelessness, anxiety, loss of energy, heaviness in the arms or legs, social withdrawal, oversleeping, loss of interest in once enjoyable activities, weight gain, appetite changes, and difficulty concentrating.

 

Treatment often includes phototherapy, which entails exposure to sunlight, if possible, or light boxes which are specially designed for treatment, filter out damaging UV rays, have been shown by research to be as effective as antidepressants, and exhibit a more rapid onset of effectiveness than antidepressants. SAD appears to be more and more common the further one is from the equator, perhaps as a factor of the amount of sunlight and/or the exposure to longer periods of sunlight. It is no wonder, then, that Hawaii and other locations close to equator are such hot vacation hotspots and that there is a higher cost of living.

 

Going to the beach does sound like a great idea right about now!

 

For more information about Seasonal Affective Disorder, including treatment and prevention, visit the Mayo Clinic’s website.  http://www.mayoclinic.com/health/seasonal-affective-disorder/DS00195

 

Cassandra Sturycz,
Psychology Practicum Student

 

 

 

Friday Factoids: What Contributes Most To Success?

 

Intelligence, self-discipline, or chance? What is the strongest contributor to success?

 

This is a complicated question. I think that it is too simplistic to think that the smarter you are, the more successful you will be. We can recall how many times we have completed an intelligence test when applying for a new job or a promotion. This obviously never happens.  More likely consideration for a position is focused on past performance and achievement.

 

The above statement leaves out too many situational factors including perhaps the most important- self-discipline.  Richard Nisbett discusses in his book, Intelligence and How to Get It: Why Schools and Cultures Count, the strong relationship between delayed gratification in the marshmallow experiment with children and their achievement scores in the future.  The marshmallow experiment gives the participant the options of either receiving one marshmallow now or two marshmallows after a set time.  Children who were able to wait longer to receive more marshmallows were more likely to have higher standardized achievement test scores.

 

However, Malcolm Gladwell wrote in his book, Outliers: The Story of Success, that immense success depends primarily on the special advantages one receives that make it possible to reach such success, once expertise has been achieve via the 10,000 Hour Rule. He cited such stories as how Bill Gates developed an affinity for computers and later achieved extreme wealth after he was given access to computers at a time when computers were not widely available.  Gladwell argues that Gates would have likely been a successful professional, but perhaps not a professional worth $50 billion.  Such high levels of success do not depend on raw aptitude and hard work alone.

 

So for now, there is no easy answer for my initial question.  Like many complicated questions, there are many complicated answers.  For more information on intelligence and success or for help forming an opinion of your own on this matter, you can check out the books I have discussed here:

Gladwell, M. (2009). Outliers: The story of success. Penguin UK.

Nisbett, R. E. (2009). Intelligence and how to get it: Why schools and cultures count. New York:  W. W. Norton.

 

Cassandra Sturycz
Psychology Practicum Student

 

 

Article Summary: Mindfulness-Based Stress Reduction for Chronic Pain Conditions

 

 

Considering the prevalence of chronic pain in the general population, treatment teams everywhere have been grasping for effective treatment options. Empirical research has pointed towards mindfulness-based treatments with promising results.

 

Mind-body approaches have sought to improve the decreased health-related quality of life and high levels of psychological distress frequently associated with chronic pain conditions.  Such approaches as Mindfulness-Based stress reduction (MBSR), which was modeled after the curriculum Kabat-Zinn et al. developed in the 1980’s at the Stress Reduction Clinic of the University of Massachusetts Medical Center, utilize techniques including: body scan, awareness of breathing, awareness of emotions, mindful yoga and walking, mindful eating, and mindful listening.  Past research has suggested significant improvement for chronic pain patients in a variety of symptoms following the implementation of MBSR interventions. However, there seems to be some inconsistency in these results as a factor of diagnostic heterogeneity versus homogeneity in past sample populations.

 

Investigators in the current study seek to compare the efficacy of MBSR among diagnostic subgroups of patients who received treatment in a diagnostically heterogeneous community population. Rosenzweig, Greeson, Reibel, et al. (2010) compared pre- and post-treatment measures of health-related quality of life (HRQoL), an index of bodily pain and pain-related limitations in daily functioning, and psychological distress. Data was collected over the course of seven years from 133 participants in the 8-week MBSR program. 84% of participants were women, 93% were Caucasian, and were divided into groups of patients diagnosed with arthritis, chronic back or neck pain, chronic headache/migraine, and patients with two or more of these diagnoses.  99 participants completed the program 41 of the 99 completed logs of recommended home meditation practice, which were incorporated into treatment mid-study.

 

Overall, all subgroups of participants reported an improvement in HRQoL subsequent to the MBSR program; however, there were differences between groups in the magnitude of this improvement.  The most significant average improvements in HRQoL as well as psychological distress were seen in participants diagnosed with arthritis. Medium to large effects were seen in participants with chronic neck or back pain in terms of physical and mental components of HRQoL. Participants with two or more chronic pain diagnoses show significant improvements in pain, pain-related functional limitations, overall HRQoL, and psychological distress. Those participants with chronic headache/migraine reported the smallest magnitude of improvement in HRQoL. Finally, data analysis of the information collected regarding recommended home meditation practice yielded strong associations between adherence to recommendations and greater home practice and improved outcomes in several areas, including: psychological distress, somatic symptoms, self-rated health, reduction in role limitations due to emotional problems, and social functioning.

 

Rosenzweig, A., Greeson, J. M., Reibel, D. K., Green, J. S., Jasser, S. A., & Beasley, D. (2010). Mindfulness-based stress reduction for chronic pain conditions: Variation in treatment outcomes and role of home meditation practice.  Journal of Psychosomatic Research, (68), 29-36.

 

Cassandra A. Sturycz, B.A.
Psychology Practicum Student