Three experiments investigated individuals’ preferences and affective reactions to negative life experiences. Participants had a more intense negative affective reaction when they were exposed to a highly negative life experience than when they were exposed to two negative events: a highly negative and a mildly negative life event. Participants also chose the situation containing two versus one negative event. Thus, “more negative events were better” when the events had different affective intensities. When participants were exposed to events having similar affective intensities, however, two negative events produced a more intense negative affective reaction. In addition, participants chose the situation having one versus two negative life experiences. Thus, “more negative events were worse” when the events had similar affective intensities. These results are consistent with an averaging/summation (A/S) model and delineate situations when “more” negative life events are “better” and when “more” negative life events are “worse.” Results also ruled out several alternative interpretations including the peak-end rule and mental accounting interpretations.

We studied memory of health scenarios for end-of-life support decisions and stability of life support preferences. Psychology students (n = 36, age M = 27.25, SD = 6.21, 64% females) were administered the Life Support Preferences Questionnaire to assess their memory of six medical scenarios with different prognoses, care treatment, and end-of-life support choices. Recall, recognition, confidence and decision stability were assessed immediately and one month later. Correct recall decreased and incorrect recall increased from immediate to long-term recall, F(2, 68) = 74.38, p < .001, η2p = .69. In recall, participants spontaneously gave false information consistent with prior knowledge of illnesses and medical scenarios. Participants who had suffered a disease or serious accident did worse on correct recall, F(1, 34) = 6.59, p = .015, η2p = .16, and had more errors, F(1, 34) = 4.68, p = .038, η2p = .12, than participants who had not. In the recognition test there were no differences between hits and false alarms, showing the difficulty in discriminating between true and false contents. Confidence was greater for hits than for false alarms, F(1, 34) = 10.86, p = .002, η2p = .24, but this subjective measure did not seem to be a good predictor of accuracy because confidence was greater than the mean value for hits (p = .001, d = 1.74) and for false alarms (p = .001, d = 0.96). Long-term memory was quite poor and biased, but life support preferences did not change much.

Background: Factors associated with the wish to die should be investigated in order to gain more opportunities for preventive interventions targeting older adults at risk for suicide. The goal of the research was to study the prevalence and associated factors of wishes to die in older adults living in the community using the data from a survey on the prevalence of mental disorders in this population.

Methods: With a representative sample of community living older adults aged 65 years and over (N = 2777), we compared individuals with the wish to die (n = 163) to those without the wish to die on the basis of the presence and severity of daily hassles, physical illness, and sleep quality.

Results: Logistic regression revealed that when depression and sociodemographic variables were held constant, self-rated physical health, number of chronic illnesses, number and intensity of daily hassles, as well as sleep problems were significantly associated with the wish to die in older adults. Painful illnesses and daytime dysfunction due to sleep problems were also associated factors with the wish to die.

Conclusion: Since desire for death is the first step into the suicidal process, health professionals should seriously consider the important and unique contribution of these variables in order to have more opportunities for detection and intervention.