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Biomedical subjects

Jill A Jacobson

Publications and source records attributed to Jill A Jacobson.

5 recordsLinked to original sources

Mental state decoding abilities in clinical depression.

BACKGROUND: Depression is associated with profound impairments in social functioning. Past research and theory suggests that these impairments may be related to a difficulty in the ability of depressed individuals to identify and decode others' social cues. However, the nature of this difficulty is equivocal. This investigation is the first to adopt a theory-of-mind framework to examine unipolar depressed individuals' ability to identify complex mental states from eye expressions. METHODS: Women with unipolar clinical depression (N=52) and nondepressed controls (N=30) completed the "Reading the Mind in the Eyes Task" (). All participants also completed self-report measures assessing depressive and anxious symptoms. RESULTS: Depressed women were significantly impaired in their ability to identify mental states in the Eyes task compared to nondepressed participants. This difference remained after controlling for anxiety and was stronger for the affective than the somatic symptoms of depression. LIMITATIONS: The present study was limited by its sample size, resulting in low power for some comparisons. In addition, the study is limited by its use of a heterogeneous depressed sample, including outpatients and volunteers from the community, as well as its use of only female participants. CONCLUSIONS: Our results demonstrate that severely depressed individuals are significantly impaired in their ability to decode others' mental states. We suggest that strategies based on improving basic theory-of-mind reasoning could be incorporated into current therapeutic interventions for depressed individuals to ameliorate their understanding and interpretation of social information.

Adult↗

Stability of older adults' preferences for life-sustaining medical treatment.

The use of instructional advance directives assumes that preferences for life-sustaining medical treatment remain stable over time and across changes in life condition. A sample of 332 older adults recorded their preferences for 4 life-sustaining treatments in 9 illness scenarios. These preferences were elicited again 1 and 2 years after the original interview. Overall, preferences for life-sustaining treatment were moderately stable over time, but stability varied significantly across judgments. Preferences were most stable for illness scenarios that were most and least serious and for decisions to refuse treatment. Age, gender, education, and prior completion of an advance directive were all related to preference stability, and evidence indicated that declines in physical or psychological functioning resulted in decreased interest in life-sustaining treatment.

Advance Directives↗

Confirmatory factor analysis of the Family Emotional Involvement and Criticism Scale: evidence of the dimensionality of expressed emotion.

Using a convenience sample of 152 married couples, the present study tested models that alternately considered family members' perceptions of Expressed Emotion to be a one-, two-, three-, or four-factor construct as measured by the Family Emotional Involvement and Criticism Scale. Results of confirmatory factor analysis procedures indicated that perceptions of Expressed Emotion were best represented by a four-factor model that consisted of involvement, criticism, upset feelings, and approval. The methodological implications of these findings are discussed.

Adult↗

Predicting elderly outpatients' life-sustaining treatment preferences over time: the majority rules.

BACKGROUND: This study describes longitudinal changes in the composition and accuracy of modal life-sustaining treatment preferences as predictors of patients' treatment preferences. METHOD: Healthy outpatients age 65 and older and their surrogate decision makers recorded preferences for 4 treatments in 9 hypothetical illness scenarios 3 times over a period of 2 years. A statistical prediction model, based on patients' modal preferences, was created using initial responses and updated 2 years later. RESULTS: When reestimating the model at 2 years, 4 of 27 items in the model created using baseline responses no longer reached the threshold for inclusion, but 5 new items did meet criteria. All modal preference changes reflected a trend toward refusing treatment. Both the original and updated models were more accurate in predicting patients' preferences than were surrogates making concurrent predictions. Adding covariates (e.g., gender, age, presence of plans for future medical care) did not alter the model's predictive superiority over surrogates. CONCLUSIONS: Models using modal preferences are useful to patients, surrogates, and physicians when trying to accurately discern end-of-life treatment choices, but the models must be updated periodically.

Actuarial Analysis↗

Context changes choices: a prospective study of the effects of hospitalization on life-sustaining treatment preferences.

OBJECTIVE: Policy and law encouraging individuals to document their wishes for life-sustaining medical treatment in advance of serious illness assumes that these wishes are unaffected by changes in health condition. To test this assumption, the authors examine the life-sustaining treatment preferences of a sample of elderly adults prior to, soon after, and several months after a hospitalization experience. SUBJECTS AND METHODS: As part of the Advance Directives, Values Assessment, and Communication Enhancement (ADVANCE) project, 401 individuals older than age 65 participated in 3 annual interviews. A subsample of 88 individuals who were hospitalized for greater than 48 hours during the course of the study participated in an additional "recovery" interview conducted soon after their release from the hospital (M = 14 days postdischarge). At each interview, subjects indicated their desire to receive 4 life-sustaining medical treatments in 4 serious illness scenarios. RESULTS: Treatment preferences showed a significant "hospitalization dip," with subjects reporting less desire to receive life-sustaining treatment at the recovery interview than they did at the annual interview conducted prior to hospitalization, but with desire returning to near prehospitalization levels at the annual interview conducted several months after hospitalization. This dip was more pronounced in preferences for cardiopulmonary resuscitation and artificial nutrition and hydration than in preferences for less invasive treatments. CONCLUSIONS: Preferences for life-sustaining treatment are dependent on the context in which they are made, and thus individuals may express different treatment preferences when they are healthy than when they are ill. These results challenge a key psychological assumption underlying the use of instructional advance directives in end-of-life decision making.

Advance Directives↗