An exploratory study was conducted to augment the current literature on religiosity and spirituality by identifying and systematically measuring the salient variables and underlying constructs regarding spirituality and religion in African American families and their children between the ages of 7 to 12. The study examined psychosocial correlates, such as self-esteem and ethnic identity, and their impact on religiosity and spirituality. This study sought to validate the Age-Universal I/E Scale for use with African American children occurred with this study and pilot the African American Children's Ethnic Identity Scale (ACHEIDS). Through qualitative and quantitative research this study found multiple correlations associated with religion, spirituality, age, gender, aspects of self-esteem, and ethnic identity. Regression analyses were also conducted to identify predictive variables associated with the I/E.

The present study examined the use of MacDonald's Expressions of Spirituality instrument with a younger and older adult sample. Specifically, MacDonald's proposed five factor model was assessed for fit with a sample of college age participants as well as a sample of adults over the age of 65. A confirmatory factor analysis was conducted to assess the fit of this model with samples, and this was followed by an exploratory factor analysis, and the results were considered in light of measurement equivalence and the definitions of the constructs of religiosity and spirituality. Further analyses examined levels of religiousness as well as relationships between religiousness/spirituality and potential correlates, such as postformal thinking, life events including changes and losses, emotional and physical well-being, and family upbringing, comparing young and older adult samples. Results of the confirmatory factor analysis revealed a solution with a better fit than MacDonald's model for both younger and older adults. While the number of factors were the same for both samples, item loadings and cross-loadings differed between the younger and older adult samples. Exploratory factor analysis yielded a four factor solution, with religiousness and spirituality items loading onto one factor. With regard to measurement equivalence, findings appear to …

Dementia is a devastating disorder that commonly affects people over the age of 65. Alzheimer's disease and vascular dementia are the most common forms of dementias. A number of studies have implicated cardiovascular risks as important factors in the development of dementia. These risks include high-risk behaviors such as smoking and risks related at least partially to health behaviors such as diet and exercise. This study examines a group of cardiovascular risk factors, as defined by the Framingham study, to ascertain if they are predictors of dementia. A retrospective chart review of 481consecutive patients seen in a geriatric medicine clinic produced a sample of 177 individuals diagnosed with dementia and 304 individuals without a dementia diagnosis. Relative risk ratio (RRR) results indicate that a history of hypertension (RRR= 1.80, p = .009) and a history of hypercholesterolemia (RRR = 1.85, p = .016) are significant predictors of Alzheimer's disease. A history of tobacco use (RRR = 2.18, p = .01) is a significant predictor of vascular dementia. Stepwise regression analyses indicate that hypercholesterolemia is an independent predictor of dementia (b = -.113, p = .009) and hypercholesterolemia (b = -.104, p = .018) and hypertension (b = -.094, p = …

The primary objective of this study was to examine the association between the theory of planned behavior (TBP) and adherence to a multidisciplinary pain center (MPC) treatment program for chronic pain. While the results of several studies have provided support for the efficacy of MPC treatment in chronic pain, the problems of adherence and attrition are important. TPB is a cognitive/social model of behavior that has been used to predict a variety of behaviors, although it has never been used to predict adherence to a multidisciplinary chronic pain treatment program. It was predicted that Adherence would be predicted by Intentions and that Intentions would be predicted by 1) Perceived Social Norms, 2) Perceived Behavioral Control, 3) Attitudes Toward New Behavior (completing the treatment program), and 4) Attitude Toward Current Behavior (maintaining current treatment and coping strategies). It was found that the total Intentions scores did not predict the total Adherence scores. However, Intentions was predicted by 1) Perceived Behavioral Control, 2) Attitudes Toward New Behavior (completing the treatment program), and 3) Attitude Toward Current Behavior (maintaining current treatment and coping strategies). The finding that Perceived Social Norms did not predict Intentions was consistent with results of previous studies with the …

EEG biofeedback (neurotherapy) has been demonstrated as effective in the treatment of alcoholism, as evidenced by Peniston and Kulkosky's research efforts. These neurotherapy pioneers evaluated the efficacy of alpha-theta brain wave biofeedback as a treatment for chronic alcohol abuse, citing 80% abstinence rates as measured by improvements in psychopathology, serum beta endorphin levels, and long-term alcohol abstinence. Most research with alpha-theta EEG biofeedback has addressed alcohol addiction. Cocaine is now considered to be the most common drug problem of patients entering treatment for drug abuse. To date, only one controlled study has been published that researched alpha-theta neurofeedback in the treatment of "crack" cocaine addiction. The present study was an extension of a 4-year EEG-biofeedback treatment outcome project underway at a faith-based homeless mission in Houston, Texas, with male "crack" cocaine addicts. Changes in personality, attention, and impulsivity were measured following 30 sessions of a non-individualized EEG -biofeedback protocol. Experimental subjects received a variant of the Peniston-Kulkosky alpha-theta protocol for 30 sessions while controls received all elements of the experimental protocol except the EEG biofeedback. Assessment measures included the MMPI-2 and the IVA. Although experimental subjects showed greater mean improvement on most MMPI basic scales and all IVA Attention related …

Peniston and Kulkosky (1989, 1990) demonstrated the effectiveness of alpha-theta EEG-Biofeedback (EEG-BFB) in treating inpatient alcoholics noting significant improvements in depression, psychopathology, serum β-endorphin levels, and abstinence rates. The present study is an extension of a previously unpublished replication of the Peniston EEG-BFB protocol with 20 chemically dependent outpatients (Bodenhamer-Davis, Callaway, & DeBeus, 2002). Fifteen subjects were "high risk for re-arrest" probationers. Data for the EEG-BFB group was collected from archival records. Subjects completed an average of 39 sessions (SD = 6.096), with 33 of those being EEG-BFB. Pre/post-treatment MMPI-2s™ (University of Minnesota) were collected and follow-up (4-11 years) data obtained (abstinence rates, re-arrests in some cases). Treatment effects were evaluated by comparing assessment data (pre/post) and documenting abstinence rates. Post-treatment MMPI-2 results were within normal limits, with several scales significantly reduced from baseline suggesting less psychopathology. Results were then compared to 20 subjects receiving standard addiction treatment (OT-CD group), but not EEG-BFB. OT-CD subjects completed a 2-week inpatient program followed by 18 outpatient sessions. Pre/post assessment and follow-up data was collected on the OT-CD group. The OT-CD group's post-assessment results showed three elevations (MMPI-2 scales 4/6/8), suggestive of characteriological problems. Post-MMPI-2 results of the two groups were compared via …

Psychologists and other mental health professionals working in correctional institutions bear the considerable responsibility for identifying, diagnosing, and treating mentally disordered inmates. The importance of these responsibilities has been recognized in recent years because of the burgeoning population of inmates in general and the higher numbers of inmates with mental illness in particular. Research has demonstrated that the screens currently used in correctional settings to identify mentally disordered and suicidal inmates are either unvalidated or generally ineffective. This study investigates the validity of different mental health screens in a jail population. Inmates from the Grayson County Jail were administered three screens: the Referral Decision Scale (RDS), Personality Assessment Screener (PAS), and the Mental Disability/Suicide Intake Screen (MDSIS). Criterion measures were the Schedule for Affective Disorders and Schizophrenia (SADS) for Axis I disorders and the Suicide Probability Scale (SPS) for suicidal ideation. Results indicate that each screen most effectively assessed one clinical domain: the RDS for psychosis, the MDSIS for suicidality, and the PAS for depression. Gender differences were observed in screen items most effective for classifying inmates by suicide risk level.