Non-fear emotions in changes in posttraumatic stress disorder symptoms during treatment.

BACKGROUND AND OBJECTIVES: Posttraumatic stress disorder (PTSD) is not only associated with fear but also with other emotions. The present study aimed to examine if changes in shame, guilt, anger, and disgust predicted changes in PTSD symptoms during treatment, while also testing if PTSD symptoms, in turn, predicted changes in these emotions. METHODS: Participants (N = 155) with childhood-related PTSD received a maximum of 12 sessions of eye movement desensitization and reprocessing or imagery rescripting. The data was analyzed using Granger causality models across 12 treatment sessions and 6 assessment sessions (up until one year after the start of treatment). Differences between the two treatments were explored. RESULTS: Across treatment sessions, shame, and disgust showed a reciprocal relationship with PTSD symptoms, while changes in guilt preceded PTSD symptoms. Across assessments, anger was reciprocally related to PTSD, suggesting that anger might play a more important role in the longer term. LIMITATIONS: The individual emotion items were not yet validated, and the CAPS was not administered at all assessments. CONCLUSIONS: These findings partly differ from earlier studies that suggested a unidirectional relationship in which changes in emotions preceded changes in PTSD symptoms during treatment. This is in line with the idea that non-fear emotions do play an important role in the treatment of PTSD and constitute an important focus of treatment and further research.

Resilience as a predictor for emotional response to the diagnosis and surgery in breast cancer patients.

OBJECTIVE: The purposes of the present study were to investigate the role of resilience in the prediction of emotional response in breast cancer patients and to examine whether this association is specific for women undergoing this emotionally taxing condition or whether resilience is more generally associated with higher levels of emotional well-being. METHODS: Two hundred fifty-three breast cancer patients and 211 healthy female controls completed four psychological questionnaires. Measures comprised the Connor-Davidson Resilience Scale, the Hospital Anxiety and Depression Scale, Positive and Negative Affect Schedule, and two happiness items. Cancer patients were assessed after diagnosis and surgery. RESULTS: Cancer patients reported higher levels of anxiety, depression, and negative affect and lower levels of positive affect and current happiness compared with control women. There was no difference between the two groups in level of resilience. Higher levels of resilience were related to better emotional adjustment both in women with breast cancer and in control women, but this association was stronger within the sample of cancer patients. In fact, patients scoring high on resilience seemed to experience similar levels of anxiety, depression, and current happiness as healthy women. CONCLUSION: Our results confirm that resilience may at least partially protect against emotional distress in cancer patients. Our findings suggest that resilience may be a relatively stable trait that is not affected by adversity.

Does the weather make us sad? Meteorological determinants of mood and depression in the general population.

It is a common and well-spread belief that people feel more depressed when the weather is bad. However, whether meteorological factors such as temperature, sunshine and rainfall can actually account for variations in the prevalence of depression in the general population has yet to be investigated. We aimed to assess the influence of weather conditions on the seasonal variation of depression observed in the general population. We used data from a large-scale depression-screening programme in the south of the Netherlands. Seasonal prevalence of DSM-IV classified major depression and sad mood in a sample of 14,478 participants from the general population was calculated, and linked to mean daily temperature, duration of sunshine and duration of rainfall in logistic regression analyses. The prevalence of major depression and sad mood showed seasonal variation, with peaks in the summer and fall. Weather conditions were not associated with mood, and did not explain the seasonal variation we found. We conclude that, contrary to popular belief, weather conditions and sad mood or depression do not seem to be associated. Future studies might use daily measures of well-being as outcome.

Minor and major depression in the general population: does dysfunctional thinking play a role?

BACKGROUND: Although most research suggests that minor depression is part of a depression continuum, conflicting results have also been found. Moreover, little is known about dysfunctional thinking in minor depression and how this varies along the continuum. Especially, research on the form of dysfunctional thinking (ie, extreme responding) is lacking. We have addressed these issues by reporting results from a large community sample. METHODS: Demographic, clinical, and cognitive factors (ie, content and form of dysfunctional thinking) were compared between minor depression (ie, 2-4 symptoms), major depression with 5 to 6 symptoms, and major depression with 7 to 9 symptoms. A large community sample (N = 1129) was used. Differences between the 3 subgroups were examined as well as linear relations between number of symptoms and factors marking the severity. RESULTS: Most demographic variables did not distinguish the 3 depression status categories from each other. Clinical and cognitive factors acted in synchrony with the depression continuum. CONCLUSIONS: Minor depression should be considered as part of continuum together with major depression. Not only the content but also the form of dysfunctional thinking seems to play a major role in depression. Extreme positive responding is more prominent in mild depression, whereas more severely depressed individuals have a general tendency toward extreme negative responding. This finding, if replicated, may have important implications for the cognitive theory of depression.