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Jeremia Heinik Prof MD publishes on a regular basis. He focuses on honest inquiry, unbiased research, and the dissemination of truth that has led to some unprecedented findings and has made him a go-to expert in his field.

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פסיכוגריאטריה – פרקים נבחרים

הפסיכוגריאטריה משנה את מעמדה בעיני הרפואה בפרט, אך גם בעיני הציבור הרחב בכלל. 


התקדמות עצומה נרשמה בפיתוחו של תחום זה, בידע, בגישות האבחוניות ובאפשרויות הטיפול בקשישים, הסובלים מירידה בתפקוד ובאיכות החיים. 


זהו תחום הדורש התמקצעות ייחודית מהעוסקים בו. מכאן חשיבותו של ספר זה, שהוא ספר לימוד מקצועי ומקיף, הרואה אור לראשונה בשפה העברית, ופורס בפני הקורא את כל התחום הנרחב של מחלות אורגניות ומחלות נפש, הפוגעות בתפקוד המוחי של זקנים. 

הספר כולל פרקים של בכירי המומחים בתחומים השונים הקשורים בפסיכוגריאטריה, כמו פסיכיאטריה, גריאטריה, אפידמיולוגיה, נוירולוגיה, משפט ומקצועות הבריאות. 

עורכי הספר, הפרופסורים ירמיהו הייניק וצבי דוולצקי, הם שני חוקרים מובילים בתחום, רופאים פעילים ברפואה קלינית ומורים לדור הבא של אנשי מקצוע במקצועות הבריאות. קריאת הפרקים המופיעים בספר תאפשר לעוסקים בתחום חשוב זה להיטיב את חייהם של חולים מבוגרים

The right kind of smart: emotional intelligence's relationship to cognitive status in community-dwelling older adults

ABSTRACTObjectives:To examine whether emotional intelligence (EI) is associated with cognitive function (CF) in a sample of community-dwelling, non-demented elderly out-patients.

Design: Correlational cross-sectional study.

Setting: Two memory clinics in an urban community in central Israel.

Participants: Individuals age 60 and older without dementia, recruited from two memory clinics (N = 151).

Measurements: Health history was obtained from medical charts. All participants underwent tests measuring CF, basic and instrumental function, general mental ability (GMA), EI, and depression.

Results: Mean age of the participants was 79 years (SD = 7.00) with 96 females (63.6%). Mean score for Montreal Cognitive Assessment (MoCA) was 21.62 (SD = 3.09) and for EI was 14.08 (SD = 3.30). Linear multiple regression analysis was conducted to examine associations of CF with EI while controlling for gender, age, education, GMA, and Charlson Comorbidity Index (CCI). Age, education, GMA, and CCI were significant correlates of CF and accounted for 31.1% of the variance [F(7,143) = 10.8, p<0.01] in CF. EI was added in the second block and was the factor most strongly associated with CF, explaining an additional 9.1% (a total of 40.2%) of the variance in CF [F(8,142) = 13.2, p<0.01].

Conclusion: This study is the first to show the association between EI and CF in older adults. Future prospective studies are needed to explicate the possibility of EI as a protective factor against cognitive decline.

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Preferences for end-of-life treatment: concordance between older adults with dementia or mild cognitive impairment and their spouses

Abstract

Background: There is considerable debate about the ability of proxies to adequately reflect patients' preferences regarding end-of-life care, when patients are no longer capable of stating their preferences. This study evaluated concordance in end-of-life preferences between patients with mild cognitive impairment (MCI) or dementia and their spouses.

Methods: A cross-sectional sample of 106 respondents (53 couples) was recruited in two psychogeriatric clinics. Bivariate analyses were conducted to evaluate the degree of agreement between the patients' preferences and those of their spouses.

Results: Patients were more likely to opt for more treatment than their spouses. Moderate agreement between patients and spouses was evident for preferences regarding end-of-life decisions for the patients. There was little concordance between the wishes of spouses regarding their own preferences and what they wanted for the patient or what the patient wanted. When incorrectly predicting patients' preferences, spouses were more likely to ask for treatment.

Conclusions: Our results show that regarding end-of-life preferences for patients, there is moderate agreement between patients and their spouses, but limited evidence for projection of spouses' preferences on patients (i.e. spouse making a prediction based on own wishes). Potential differences in end-of-life preferences between older adults with MCI or mild dementia and their caregivers should be taken into consideration in the preparation of advance care planning.

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