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Chronic pain patient-spouse behavioral interactions predict patient disability.

Based on behavioral theory, it has been hypothesized that spouse solicitous responses to the pain behaviors of chronic pain patients may contribute to the maintenance of pain behaviors and disability. Self-report data support this hypothesis, but direct observational measures have not been used to study this association. In this study, 50 chronic pain patients and their spouses were videotaped while engaging in common household activities. and patient pain behaviors and spouse solicitous behaviors were coded from the tapes. Spouse solicitous responses to non-verbal pain behaviors were significant predictors of physical disability in the more depressed patients, and were significant predictors of rate of non-verbal pain behavior in patients who reported greater pain. Spouse solicitous responses did not predict psychosocial dysfunction or total self-reported pain behaviors. The result support behavioral theory and indicate the need for further study of the association between spouse solicitousness and patient pain behaviors/disability.

Adult↗

Correlates of behavioral disturbances and pattern of psychotropic medication use in five skilled nursing facilities.

There are several treatment options for behavioral disturbances (BDs) in dementia. However, the choice of a specific psychotropic agent is directed by personal preferences and local community practice patterns. We examined the relationship between common clusters of BDs and the use of different classes of psychotropic agents in our community. A cross-sectional study of 430 long-term care residents from 5 nursing homes was undertaken. The Behavior Measurement Scale (BMS) was used to measure the frequency of BDs grouped in 4 categories. Residents with > 4 BD episodes in at least one category during a 2-week observation period were the behavior group and were considered to have clinically significant BDs. A sample of patients who had < 4 BDs in all BMS categories during the same observation period defined the nonbehavior group. A BD cluster was defined as > 4 BDs occurring in one or more BMS categories during the 2-week observation. Data on functional status, comorbidity, use of benzodiazepines, antidepressants, and neuroleptic agents were collected with chart review. The chi-square test was used to examine the correlation between variables. Clinically significant BDs were identified in 27.2% (117/430) of the residents in the sample. Five of 15 behavior clusters accounted for 73% of all clinically significant BDs. The 5 clusters were verbally nonaggressive behaviors (cluster 1, 20.5%), behaviors from all 4 categories (cluster 2, 17.9%), verbally and physically nonaggressive behaviors (cluster 3, 14.5%), physically nonaggressive behaviors (cluster 4, 12.8%), and verbally aggressive and nonaggressive behaviors (cluster 5, 7.7%). Cluster 5 had a negative correlation with functional impairment (P = .009). There was a significant correlation between cluster 2 and benzodiazepine use (P = .014). No other significant correlation was found between any of the 5 clusters and demographic variables, comorbidity status, and use of antidepressant or neuroleptic medications. Residents in the behavior group had higher impairment in self-feeding (P = .036) and bathing (P < .001) and were more likely to be treated with benzodiazepines (P = .004) and neuroleptic agents (P = .009) than residents in the nonbehavior group (n = 116). The higher use of neuroleptics and benzodiazepines in the behavior group compared with the nonbehavior group indicates that BDs are being identified for treatment, but the medications used may not be efficacious. The lack of association between specific classes of psychotropic medications and distinct behavior clusters indicates that clinicians are not using a standardized approach to target the neurochemical abnormalities that may underlie certain behavior clusters. Some behavior clusters correlate with impairment in specific activities of daily living categories such as bathing and feeding, making room for nonpharmacologic interventions.

Aged↗

Prose recall: effects of aging, verbal ability, and reading behavior.

This paper describes an exploratory multivariate analysis designed to determine the relative contributions of age, verbal ability, education, reading habits, and recall strategies to the explanation of variation in performance on prose recall tasks among adults. Four hundred twenty-two adults in three age groups--young (18 to 32), middle (40 to 54) and old (62 to 80)--read and recalled in writing two 388-word prose passages and answered questions about their background, reading habits, and recall strategies. Results indicate that a decrease in quantity of recall appears with increasing age, though verbal ability is a better predictor of recall than is age. In addition, a recall strategy factor representing a paragraph-by-paragraph retrieval strategy produces the highest simple correlations with total recall and contributes significantly to the other recall measures.

Adolescent↗

Nonverbal interactional behavior in the families of persons with schizophrenic and bipolar disorders.

Whereas verbal interactional behaviors have been repeatedly found to distinguish the families of persons with and without major psychiatric disorders, there has been comparatively little examination of the discriminative value of nonverbal interactional behaviors. We developed the Nonverbal Interactional Coding System to measure "affiliative" and "distancing" nonverbal behaviors in 18 schizophrenic and 18 bipolar patients and their parents during 10-minute interactions conducted during a posthospital period. Bipolar patients and their parents displayed affiliative nonverbal behaviors ("illustrator gestures" or "prosocial behaviors") for longer durations than schizophrenic patients and their parents. In contrast, parents of schizophrenic patients displayed distancing nonverbal behaviors (looking away) for longer durations than those of bipolar patients. The nonverbal interactional data added to the statistical strength of patients' and parents' verbal interactional data in distinguishing between these diagnostic groups. Nonverbal interactional behaviors are important variables to consider in interventions aimed at improving the communication skills of families coping with psychiatric disorders.

Adolescent↗