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Biomedical subjects

A R Rich

Publications and source records attributed to A R Rich.

12 recordsLinked to original sources

Reliability and validity of a modified Colorado Symptom Index in a national homeless sample.

This study examined the reliability and construct validity of a modified version of the Colorado Symptom Index (MCSI), a brief, self-report measure of psychological symptomatology, in a study of interventions to prevent homelessness. Eight projects in a national, cooperative study collected new data at baseline, 6, and 12 months using a set of common measures as well as site-specific instruments. The pooled sample consisted of 1,381 persons in treatment for mental illness or substance abuse (or both), of which 84% had a history of homelessness. The analyses employed classical and Rasch methods to examine the MCSI's content validity, internal consistency and item quality, test/retest reliability, dimensionality, appropriateness for the sample, construct validity, and responsiveness to change. This 14-item scale was found to be a reliable and valid measure of psychological symptoms in this sample. Its content was consistent with other symptom measures, its high internal consistency and test-retest coefficients supported its reliability, its relationships to other measures indicated that it had good construct validity, and it was responsive to change. We conclude that the MC

Adolescent↗

Gender differences in the psychosocial correlates of suicidal ideation among adolescents.

Gender differences in the psychosocial correlates of suicidal ideation were studied. A sample of 613 high school students (ages 14-19) completed measures of suicidal ideation, depression, hopelessness, life stress, loneliness, alcohol and drug use, and reasons for living. The results of a discriminant function analysis indicated that males reported higher loneliness and substance abuse scores than females whereas females reported greater suicidal ideation, depression, and reasons for living. The results of multiple regression analyses found that, although the same four variables, depression, hopelessness, substance abuse, and few reasons for living emerged as significant predictors of suicidal ideation in both samples, the predictive equation accounted for more of the variance in ideation scores in females (57%) than in males (46%). In a final analysis a discriminant function analysis of the subscales of the reasons for living inventory revealed that females have a greater fear of death and injury whereas males have a greater fear of social disapproval over having suicidal thoughts. This may account for the greater rate of suicide completing among males. Fear of social disapproval, more anger and impulsivity, and less help-seeking behavior among males are offered as potential variables to explain the observed gender differences.

Adolescent↗

Predicting vulnerability to hopelessness. A longitudinal analysis.

The role of loneliness, irrational beliefs, and deficient reasons for living in predicting vulnerability to hopelessness under conditions of negative life stress was examined. Subjects (N = 178) completed the UCLA Loneliness Scale. Rational Beliefs Inventory, and the Reasons for Living Inventory at the beginning of the semester. Then, at midterm, measures of negative life stress, depression, and hopelessness were obtained from the same subjects. It was hypothesized that the vulnerability factors would interact with negative life stress to predict hopelessness, independent of depressed mood. The results of multiple regression analyses supported this hypothesis. Implications for research, prevention, and treatment are noted.

Adaptation, Psychological↗

Psychosocial vulnerability, life stress, and suicide ideation in a jail population: a cross-validation study.

The purpose of this present investigation was to cross-validate a stress-psychosocial vulnerability model of suicidal ideation and behavior in a jail population. Measures of social alienation, cognitive distortions, adaptive resources, situational (jail environment) stress, depression, hopelessness, and suicide ideation were administered to 146 male inmates at a county jail facility. It was predicted that each of the vulnerability factors, in addition to jail stress, would be significantly related to suicide ideation among inmates. Furthermore, it was hypothesized that psychosocial vulnerability among inmates would interact with jail stress to best explain suicide intent. The result of a multiple-regression analysis, stepwise forward-inclusion algorithm, indicated that 51% of the variation in suicide ideation could be accounted for by the linear combination of low reasons for living, irrational beliefs, jail stress, and loneliness. In addition, when the variables were entered into a hierarchical multiple-regression model, interactions between select psychosocial vulnerability factors and jail stress were found to best explain suicide intent. Results of the study are discussed in terms of the proposed model, and implications for future research and prevention efforts in jail suicide are noted.

Adaptation, Psychological↗

A prospective investigation of suicidal ideation in college students: a test of a model.

In order to test the predictive validity of a stress--vulnerability model of suicide ideation and behavior, a longitudinal study was conducted with college undergraduates. Based on previous research (Bonner & Rich, 1987; Rich & Bonner, 1987a), measures of social/emotional alienation, adaptive resources for living, and cognitive rigidity were taken at the beginning of the semester and combined to develop a vulnerability score. Then, at midterm, measures of midterm stress and cumulative negative life stress were obtained from the same subjects. It was hypothesized that the vulnerability factor would interact with midterm and negative life stress to predict suicide ideation. Instead of an interactive model, a linear, compensatory model of suicide ideation was found. The combination of alienation, deficient adaptive resources, and life stress best predicted ideation scores. Implications for research and theory are noted.

Adaptation, Psychological↗

Toward a predictive model of suicidal ideation and behavior: some preliminary data in college students.

Within a multivariate statistical design, the relationship of various interpersonal, emotional, and cognitive variables to suicidal ideation and behavior in college students was examined. A total of 158 subjects (58 males, 100 females) completed self-report measures of life stress, faulty cognitions, loneliness, depression, hopelessness, family cohesiveness, adaptive reasons for living, and suicidal ideation and behavior. The results of a multiple-regression analysis, forward-inclusion algorithm, indicated that a predictive equation consisting of loneliness, irrational beliefs, and low adaptive reasons for living best accounted for suicidal behavior scores. To determine the basic structures and power of the predictor variables under study, a factor analysis and composite regression were employed, resulting in a predictive equation consisting of three factors: Social/Emotional Alienation, Cognitive Distortions, and Deficient Adaptive Resources. Results are discussed in terms of an interactional model of suicidal behavior.

Adult↗

Concurrent validity of a stress-vulnerability model of suicidal ideation and behavior: a follow-up study.

A follow-up study to test the concurrent validity of a stress-vulnerability model of suicidal ideation and behavior was conducted. A total of 202 college students (139 females, 63 males) completed self-report measures of life stress, loneliness, depression, dysfunctional cognitions, reasons for living, hopelessness, current suicide ideation, and predictions of future suicide probability. The results of a multiple-regression analysis indicated that 30% of the variation in suicide ideation scores could be accounted for by the linear combination of negative life stress, depression, loneliness, and few reasons for living. The linear combination of current suicide ideation, hopelessness, dysfunctional cognitions, and few reasons for living explained 56% of the variance in self-predicted future suicide probability. The results are interpreted as being supportive of the proposed model.

Adult↗