Psychosomatic Medicine Faster Service from Outside North America
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS

This Article
Right arrow Abstract Freely available
Right arrow Figures Only
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Peeters, F.
Right arrow Articles by Berkhof, J.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Peeters, F.
Right arrow Articles by Berkhof, J.
Related Collections
Right arrow Endocrinology
Right arrow Depression
Right arrow Stress and Coping
Psychosomatic Medicine 65:836-841 (2003)
© 2003 American Psychosomatic Society


ORIGINAL ARTICLES

Cortisol Responses to Daily Events in Major Depressive Disorder

Frenk Peeters, MD, PhD, Nancy A. Nicholson, PhD and Johannes Berkhof, PhD

From the Department of Psychiatry and Neuropsychology, Maastricht University (F.P., N.A.N.), Maastricht, and Department of Clinical Epidemiology and Biostatistics, Free University Medical Center (J.B.), Amsterdam, The Netherlands.

Address reprint requests to: Frenk Peeters, MD, PhD, Department of Psychiatry, University Hospital Maastricht, P.O. Box 5800, 6202 AZ Maastricht, The Netherlands. Email: f.peeters{at}sp.unimaas.nl


    ABSTRACT
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 ACKNOWLEDGMENTS
 REFERENCES
 
OBJECTIVE: Abnormal responses of the hypothalamic–pituitary–adrenal (HPA) axis to stress are thought to be involved in the pathophysiology of major depressive disorder (MDD). The aim of the present study was to determine whether cortisol responses to negative and positive daily events in depressed participants (N= 47) differed from such responses in healthy participants (N= 39). We also examined the influence of clinical characteristics and possible gender differences in cortisol responses to events. Finally, the role of mood changes in mediating cortisol responses was assessed.

METHODS: Experience sampling methodology (self-reports of mood and events, with simultaneous saliva samples, 10 times each day for 6 consecutive days) and multilevel regression analysis were used to examine the relationship between events in daily life and salivary cortisol levels.

RESULTS: In contrast to healthy participants, depressed participants showed no increase in cortisol following negative events. Responses were even more blunted in depressed participants with a family history of mood disorders. Although the effects of negative events on cortisol responses appeared to be mediated by changes in mood, negative affect tended to be less closely associated with cortisol levels in depressed participants. Depressed women showed larger cortisol responses to negative events than depressed men. Positive events had no effect on cortisol levels in either group.

CONCLUSIONS: These results suggest that responses of the HPA axis to negative daily events and mood changes are blunted in MDD. Future studies will need to address whether these abnormalities disappear after clinical recovery.

Key Words: daily events, • depression, • gender, • mood, • salivary cortisol, • stress.

Abbreviations: BDI = Beck Depression Inventory;; ESM = Experience Sampling Method;; HPA = hypothalamic-pituitary-adrenal;; MDD = major depressive disorder;; NA = negative affect;; PA = positive affect;; SCID-I = structured clinical interview for DSM-IV.


    INTRODUCTION
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 ACKNOWLEDGMENTS
 REFERENCES
 
During the past few decades, many studies have documented that abnormalities at various levels of the hypothalamic–pituitary–adrenal (HPA) axis are involved in the development and course of major depressive disorder (1, 2). Altered responsivity of the HPA axis to stress is thought to be one of these abnormalities. To date, normal or blunted cortisol responses to experimental stress in major depressive disorder (MDD) have been reported after exposure to surgical (3, 4), cognitive (5–7), or social stressors (8, 9). However, it is not clear whether responses to experimental stressors provide a valid representation of the affective and neuroendocrine processes that occur in individuals reacting to stressors in their daily lives. Studies that have addressed this issue reported nonsignificant correlations between cortisol responses to laboratory tasks and cortisol responses to stressful real-life events (10–12). If abnormal HPA axis responses to psychosocial stress are indeed involved in the pathophysiology of MDD, they should also manifest themselves in everyday life. Therefore, the most direct test for the existence of abnormal HPA axis responsivity in MDD is the study of stress responses in the everyday environment.

Negative daily events ("hassles") are followed by increases in negative affect (NA) and decreases in positive affect (PA) (13–15). Mood changes have been found to mediate cortisol responses to everyday stressors (16–18). Given our recent finding that changes in NA and PA after daily hassles are blunted in depressed outpatients compared with healthy subjects (19), we hypothesize that cortisol responses to such events in MDD may also be blunted.

In the psychiatric and psychological literature, much attention has been paid to affective and biological responses to negative events, whereas the effects of positive daily events have been much less intensively investigated. Positive events are associated with lower NA and higher PA (13, 19–21). Evidence of effects of positive events on cortisol secretion is equivocal. Previous work reported decreases (22, 23), increases (24), or no changes (25–27) in cortisol levels after experimental induction of positive mood. Effects of positive events in daily life on cortisol have never been studied. Such knowledge is clinically potentially relevant, given suggestions that positive daily events and subsequent mood changes may act as a buffer against damaging effects of HPA axis abnormalities resulting from chronic stress and MDD (28).

In recent years, daily process designs such as the Experience Sampling Method (ESM) (29) have been shown to be valid and reliable techniques for the simultaneous assessment of events, mood, and cortisol in the natural environment (17, 18). In this study, we used ESM to examine cortisol responses to negative and positive events in the daily lives of depressed and healthy individuals. Our first aim was to test whether cortisol responses to daily events differ in magnitude between depressed and healthy individuals. Second, abnormalities of the HPA axis in MDD have been reported to be influenced by clinical characteristics such as severity (30), length of the current depressive episode (31, 32), number of previous episodes (33), and positive family history (34). Therefore, associations between these characteristics in depressed subjects and cortisol responses to events were tested. Third, associations between changes in negative and positive mood states and cortisol levels in both groups were investigated. Fourth, we examined whether the influence of daily events on cortisol is mediated by mood changes. Finally, we tested the influence of gender on cortisol responses, because stronger responses of the HPA axis to stress have been hypothesized to contribute to the higher prevalence of MDD in women (35).


    METHODS
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 ACKNOWLEDGMENTS
 REFERENCES
 
Subjects
Forty-seven depressed subjects were recruited among patients seeking treatment at the local community mental health center or the outpatient clinic of the regional psychiatric hospital in Maastricht, the Netherlands. The main inclusion criterion was a primary diagnosis of major depressive disorder, as assessed with the Structured Clinical Interview for DSM-IV (SCID-I) (36) by a research psychiatrist (F.P.). The SCID-I also provides information on length of the current episode and the presence of previous episodes. Information on family history for mood disorders was also obtained. Entry was restricted to patients 18 to 65 years of age with a score of >=18 on the 17-item Hamilton Depression Rating Scale (37). Exclusion criteria were substance abuse in the last 6 months, psychotic symptoms, bipolar disorder, pregnancy, weight loss exceeding 15% in the previous 6 months, endocrine and rheumatic disorders, medications (including antidepressants) known to affect the HPA axis, and insufficient fluency in Dutch. In cases where previously prescribed antidepressants were judged to be clinically ineffective, these drugs were tapered off; subjects were then allowed to participate in the study after a medication-free interval of at least 1 week (this applied to 5 subjects, none of whom used fluoxetine). Use of previously prescribed low-dose benzodiazepines was allowed (8 subjects).

Thirty-nine healthy subjects, matched as a group to the patient sample for gender and age, were recruited from available research pools and through a local newspaper advertisement. Additional exclusion criteria for healthy subjects were a lifetime history of any DSM-IV axis-I disorder, or a history of inpatient treatment for an axis I psychiatric disorder in a first-degree relative. The study was approved by a medical ethics committee, and written informed consent was obtained from all subjects.

Questionnaires
Patients as well as healthy subjects completed the Symptom Check List (SCL-90) (38). Patients also completed the Beck Depression Inventory (BDI) (39).

Ambulatory Sampling Procedure
The Experience Sampling Method (ESM) (29, 40) was used to collect data from participants at selected moments during their daily activities. Participants received auditory signals (beeps) from a wristwatch programmed to emit 10 beeps between 7:30 AM and 10:30 PM each day, at semirandom intervals of approximately 90 minutes. After each beep, participants completed self-report forms concerning current mood, any negative and any positive events that may have taken place since the last report, and various extraneous influences on cortisol secretion (for details see measures below). Participants completed ESM reports for 6 consecutive days, including a weekend. During a briefing session, study aims and procedures were explained. In a final session, the ESM booklets were checked for legibility and missing data. Compliance with the procedure was generally good. The criteria set for inclusion in the analyses (more than 20 ESM reports completed within 25 minutes after the programmed time of the beep) were met by all participants except 1 depressed participant.

Measures
Mood assessment
Momentary mood states were assessed with 16 adjectives rated on 7-point scales (1 = not at all, 7 = very). Factor analyses (principal components analysis with varimax rotation) on mean scores aggregated per subject and on within-subject z scores identified 2 mood factors with eigenvalues greater than 1. These factors accounted for 81.1% of the total variance in the analysis of the subject mean scores and 46.1% of the variance in the analysis of the within-subject z scores. Ratings on the items anxious, irritated, restless, tense, guilty, irritable, easily distracted, and agitated were averaged to form a negative affect (NA) scale (Cronbach’s alpha = 0.91 based on 4535 reports). Ratings on the items energetic, enthusiastic, happy, cheerful, talkative, strong, satisfied, and self-assured were averaged to form a positive affect (PA) scale (alpha = 0.95).

Event assessment
At each beep, participants were asked briefly to describe any positive and any negative event that may have taken place since the last ESM report. Although participants were instructed to report only events or situations that actually took place in their daily environment in the preceding interval, some event reports clearly referred to internal states (eg, current ruminations about past events, personal health concerns). Following preestablished criteria, the research team identified such internal events by consensus. We limited the analysis to the effects of external events on cortisol levels, because internal events reports are likely to confound event and mood measures. In the depressed group, 17% of all event reports referred to internal states compared with 7% in the healthy group.

Salivary cortisol
At the same time ESM forms were being completed, subjects collected saliva with cotton Salivettes (Sarstedt). They stored new saliva samples in their home freezers at the end of each day. On the ESM forms, the following information was also obtained to control for possible extraneous influences on cortisol secretion: recent physical exertion (rated on a 7-point scale) and any food intake, alcohol, coffee, smoking, or medication (eg, benzodiazepines) in the interval between the current and the previous beep. In the morning, subjects recorded the time of awakening and rated sleep quality the previous night (7-point scale).

Uncentrifuged saliva samples were stored at -20°C until analysis. Salivary free-cortisol levels were determined in duplicate by direct radioimmunoassay, using iodohistamine-125 coupled to cortisol-3CMO. The lower detection limit of the assay was 0.33 nmol/L, with mean inter- and intra-assay coefficients of variation of 8.3% and 4.3%, respectively. All samples from an individual were analyzed in the same assay to reduce sources of variability. Extreme cortisol values (>44 nmol/L) were excluded, which applied to 12 values from different individuals and all data (38 samples) from 1 depressed subject who had 11 extreme cortisol values.

Statistical Analysis
Because the ESM observations are nested within days within participants, we estimated the effects of daily events, mood states, and individual characteristics on cortisol secretion with multilevel or hierarchical linear analysis, a variant of multiple regression appropriate for nested data. We refer to the three levels in the model as beep-level, day-level, and person-level. The multilevel model was estimated using the program MLwiN (41).

A natural log transformation of the raw cortisol values yielded an unskewed response variable. The regression equation for cortisol at the beep level can be expressed as follows: Go


where LogCort ijt is the transformed cortisol level of participant i at the t-th beep on day j. The intercept is denoted by b0m, xqijt is an entry of explanatory variable xq, bqm is the corresponding regression coefficient, and emijt is an error term. The index m indicates whether the participant is depressed (m = 1) or healthy (m = 0). By indexing all regression coefficients with label m, we estimated all effects separately for the depressed and healthy participants. The error term emijt is itself a function of error terms that capture the dependencies among the cortisol measurements. Such dependencies occur because two observations tend to be more similar if (1) taken at points closer in time on the same day, (2) taken on the same day rather than on 2 different days, and (3) taken from 1 participant rather than from different participants. To account for these sources of dependency, we (1) modeled the autocorrelation between 2 subsequent observations as an exponentially decaying function of the time interval between these observations, (2) included a random intercept and slope at the day level to account for day-to-day variability in the diurnal cortisol pattern, and (3) included a random intercept and slope at the person level to account for interindividual variability in cortisol levels. Ignoring these dependencies biases the estimated standard errors of the regression coefficients and may lead to incorrect inferences about the effects of the explanatory variables. In the presented model, separate autocorrelation terms are specified for the depressed and healthy participants. We do not specify separate within- and between-subject variances because they were not significantly different in the 2 groups.

We fitted the diurnal pattern of cortisol secretion by a fourth-degree polynomial, because this provided a better fit than the linear component alone. Fixed effects estimated at different levels included a number of potential confounders (beep-level: recent awakening, food intake, physical exertion, smoking, alcohol, coffee, benzodiazepines; day-level: self-reported sleep quality; person-level: age, use of oral contraceptives, and SCL-90 anxiety score). Of these, only the 2 variables with significant effects (recent awakening and food intake) were retained in the final model. The secretory peak in cortisol that occurs after morning awakening (42) was modeled by including a variable that took the value "1" if the saliva sample was collected less than 1 hour after awakening, and "0" otherwise. Food intake in the interval preceding a beep was also dummy-coded. Recent awakening (MDD; ß = 0.176, SE = 0.054 vs. healthy; ß = 0.198, SE = 0.052) and food intake (MDD; ß = 0.093, SE = 0.021 vs. healthy; ß = 0.118, SE = 0.019) resulted in comparable increases in cortisol levels in both groups.

To test our main hypotheses, we included negative events (1 if a negative event had occurred, and 0 otherwise) and positive events (1 if a positive event had occurred, and 0 otherwise) at the beep-level. We also included the following additional explanatory variables: gender (1 if female, -1 if male), severity of depression (BDI score centered around overall mean), duration of current depressive episode (centered around overall mean), history of previous depressive episode(s) (coded -1 or 1), and positive family history for mood disorders (coded -1 or 1). These variables were either centered around the grand mean or effect coded (ie, -1,1 instead of 0,1) so that inclusion in the model would not automatically change the previously estimated effects of events on cortisol. To examine the influence of gender and clinical characteristics on cortisol reactivity to events, we estimated the interaction effects of daily events (both negative and positive) with these variables. In a second step, we entered the variables NA (negative affect, scaled 0–6) and PA (positive affect, scaled 0–6), as well as their interactions with negative and positive events.

To test the significance of the regression coefficients, z-scores were calculated by dividing the estimated effect by its standard error (43). We also tested whether the regression coefficients were statistically different inpatient vs. control groups. Two-tailed tests were used, even when hypotheses were directional. Significance levels were set at alpha = 0.05.


    RESULTS
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 ACKNOWLEDGMENTS
 REFERENCES
 
Subjects
Data from 84 subjects (45 depressed and 39 healthy) were used, including 3861 responses with both ecological information and a cortisol level, or 76.6% of the maximum possible observations. The mean number of responses was higher in the healthy group than in the MDD group (82.6% vs. 73.3%; t = 2.76, df = 82, p = .007). Characteristics of depressed and healthy subjects are summarized in Table 1.


View this table:
[in this window]
[in a new window]
 
TABLE 1. Characteristics of depressed (MDD) and healthy subjects
 
Frequency of Daily Events
In total, 1624 events were reported during the 6 days, including 591 negative and 1033 positive events. Four participants (2 in each group) reported no events. As reported elsewhere (19), the frequency of negative events was similar in the 2 groups, but depressed subjects reported fewer positive events.

Effects of Diurnal Cycle, Depression, and Extraneous Influences on Cortisol Secretion
Figure 1 shows observed cortisol values during the day in MDD and control groups. Both groups displayed a clear diurnal pattern, with high cortisol values in the early morning declining during the rest of the day.



View larger version (16K):
[in this window]
[in a new window]
 
Fig. 1. Salivary cortisol levels in outpatients with major depressive disorder (MDD) and healthy control subjects. Mean levels for each time of day were first calculated for each subject during the 6-day sampling period. Values shown are the mean and SEM for each of the 2 groups.

 
In Table 2, estimated effects on cortisol levels are shown for depressed and healthy participants separately; differences between the groups are displayed in the last column. The intercept (Model 1) shows that depressed participants had no elevation in basal cortisol levels compared with healthy participants.


View this table:
[in this window]
[in a new window]
 
TABLE 2. Multilevel estimates for effects of daily events and negative affect on cortisol levels in depressed and healthy subjects
 
Effects of Daily Events and Mood States on Cortisol Secretion
Model 1 (upper half of Table 2) estimated the influence of negative and positive events on cortisol secretion in depressed and healthy subjects. Although negative events were associated with significant cortisol increases in healthy subjects, there was no evidence of a cortisol response in depressed subjects. Positive events had no significant effect on cortisol levels in either group.

With respect to clinical characteristics in the depressed group, subjects with a family history of mood disorders showed additional blunting of cortisol responses (ß = -0.083, SE = 0.028, z = 2.96, p < .01). No other clinical characteristics significantly moderated cortisol responses.

The next model (see Model 2 in Table 2) added NA and PA as predictors to evaluate the effect of mood on cortisol. In general, increases in NA were associated with higher cortisol levels, with a trend toward a smaller effect in the depressed group. It should be noted that after addition of NA, the effect of negative events on cortisol was attenuated in healthy subjects. In other words, affect appears to mediate to some extent the relationship between negative events and cortisol found in the first model. Neither PA levels nor event-related changes in PA were associated with cortisol levels in either group (data not shown).

Gender Effects on Cortisol Reactivity
Finally, we examined whether depressed men and women differed with respect to cortisol reactivity. Gender did not influence basal cortisol levels in the depressed group (ß = 0.007, SE = 0.052, NS), but depressed women showed larger cortisol responses to negative events than depressed men did (gender by event interaction; ß = 0.067, SE = 0.029, p < .05). Cortisol responses to positive events were similar in depressed women and men. Within the group of healthy participants, no effects of gender on cortisol levels or reactivity were found (data not shown).

As allowed by the protocol (see Methods), 8 depressed subjects reported daytime use of benzodiazepines during the study (on 68 of 2039 ESM reports). To exclude the possibility that benzodiazepine use influenced cortisol levels, we repeated the analysis after excluding these 8 subjects. All findings remained the same.


    DISCUSSION
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 ACKNOWLEDGMENTS
 REFERENCES
 
This study examined salivary cortisol responses after naturally occurring events and mood changes in the daily lives of depressed outpatients. In contrast to healthy subjects, depressed subjects showed no increase in cortisol after negative events. Moreover, the association between negative affect and cortisol levels was weaker in depressed than in healthy subjects. As previously reported (16–18), the effects of negative events on cortisol levels appeared to be mediated by changes in NA. Positive events had no significant effect on cortisol levels in either group.

The observed increase in salivary cortisol after negative daily events in healthy subjects replicates earlier findings (17, 18) . The reduced cortisol reactivity to negative events observed in the depressed group requires explanation. Previous reports of blunted cortisol responses in MDD have been linked to higher basal cortisol levels (6, 7, 9). In the current outpatient sample, however, basal levels were normal, and individual differences in basal levels were controlled for in the analysis. In remitted depressed subjects with normal basal levels, Trestman et al. (7) also found a trend toward blunted cortisol responses to a laboratory stressor. The lack of cortisol response may reflect the blunted mood responses after negative events we have found in depressed subjects, even though they appraise such events as more unpleasant, important, and stressful than healthy individuals (19). The trend toward smaller effects of NA on cortisol responses in depressed subjects as compared with healthy subjects (as shown in Table 2) may also indicate hyporesponsivity of the HPA axis to external stimuli that activate negative affect.

We found more erratic cortisol levels in MDD (44), but the current results indicate that these are not directly attributable to daily life experiences. Cortisol responses to acute stressors are thought to be highly adaptive to the organism, ensuring physiological, affective, cognitive, and behavioral changes, followed by a rapid return to homeostasis (45). In this sense, blunted responses are evidence of a general dysregulation of the HPA axis in MDD (46). Even greater blunting in depressed subjects with a family history of mood disorders suggests that altered responsiveness of the HPA axis may reflect a genetic vulnerability; this is in agreement with previously reported genetic influences on MDD-related abnormalities in basal cortisol levels (47), and in feedback mechanisms of the HPA axis (34).

Positive events and changes in PA had no effects on cortisol. As reported elsewhere (19), mood changes after positive events in daily life were smaller than the mood changes seen after negative events and may thus be insufficient to influence the HPA axis. Moreover, characteristics of stimuli capable of lowering cortisol are poorly understood.

Although they remained less reactive than healthy participants did, depressed women showed larger cortisol responses to negative events than depressed men did. This cannot be explained by larger mood responses after daily events, because these were similar in depressed women and men in the same sample (19). It is possible that additional variables such as social support (48), cognitive processes (eg, rumination) (49), modulatory effects of gonadal steroids (35), and behavioral responses (50) contribute to the observed gender difference in cortisol reactivity in the depressed group.

This study has some limitations. Even in a time-sampling approach like ESM, retrospective bias cannot be entirely ruled out. Event assessment was based on self-reports only, because there was no practical means of verifying event occurrence. Second, the causal association between events, mood, and cortisol cannot be firmly established, because data were collected at the same points in time. However, prior events, controlling for effects of current events, were associated with persistent changes in both mood states, which supports our assumption that events influenced mood and cortisol and not vice versa (19). Third, we did not obtain data on childhood abuse, which has been shown to alter HPA responses to a laboratory stressor in adulthood in women (51).

The finding that small hassles and mood fluctuations in daily life influence cortisol levels differently in depressed and healthy subjects points to differences in both psychological experience and biological systems in their daily lives. More generally, our results fit well with a dysregulation hypothesis of MDD (46); a dysregulated system is characterized by impairment of homeostasis, erratic output, disrupted periodicities, abnormal responsivity to environmental stimuli, slower return to basal activity after perturbation, and normalization after effective treatment. The clinical significance of these psychological and biological alterations for illness course and response to treatment requires further examination. Finally, future studies should investigate whether abnormal responses to daily events in MDD normalize after clinical recovery.


    ACKNOWLEDGMENTS
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 ACKNOWLEDGMENTS
 REFERENCES
 
The authors thank Dr. J. Sulon, University of Liège, Belgium, for performing the cortisol assays, and Lilly Finders, Truda Driessen, and Frieda Van Goethem for research assistance.

Received for publication March 18, 2002.


    REFERENCES
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 ACKNOWLEDGMENTS
 REFERENCES
 

  1. Holsboer F. Stress, hypercortisolism and corticosteroid receptors in depression: implications for therapy. J Affect Disord 2001; 62: 77–91.[CrossRef][Medline]
  2. McQuade R, Young AH. Future therapeutic targets in mood disorders: the glucocorticoid receptor. Br J Psychiatry 2000; 177: 390–5.[Abstract/Free Full Text]
  3. Breier A, Wolkowitz OM, Doran AR, Bellar S, Pickar D. Neurobiological effects of lumbar puncture stress in psychiatric patients and healthy volunteers. Psychiatry Res 1988; 25: 187–94.[CrossRef][Medline]
  4. Kudoh A, Ishihara H, Matsuki A. Inhibition of the cortisol response to surgical stress in chronically depressed patients. J Clin Anesth 2000; 12: 383–7.[CrossRef][Medline]
  5. Croes S, Merz P, Netter P. Cortisol reaction in success and failure condition in endogenous depressed patients and controls. Psychoneuroendocrinology 1993; 18: 23–35.[CrossRef][Medline]
  6. Gotthardt U, Schweiger U, Fahrenberg J, Lauer CJ, Holsboer F, Heuser I. Cortisol, ACTH, and cardiovascular response to a cognitive challenge paradigm in aging and depression. Am J Physiol 1995; 268: R865–73.
  7. Trestman RL, Coccaro EF, Bernstein D, et al. Cortisol responses to mental arithmetic in acute and remitted depression. Biol Psychiatry 1991; 29: 1051–4.[CrossRef][Medline]
  8. Heim C, Newport DJ, Heit S, et al. Pituitary-adrenal and autonomic responses to stress in women after sexual and physical abuse in childhood. JAMA 2000; 284: 592–7.[Abstract/Free Full Text]
  9. Young EA, Lopez JF, Murphy-Weinberg V, Watson SJ, Akil H. Hormonal evidence for altered responsiveness to social stress in major depression. Neuropsychopharmacology 2000; 23: 411–8.[CrossRef][Medline]
  10. Houtman IL, Bakker FC. Stress in student teachers during real and simulated standardized lectures. J Hum Stress 1987; 13: 180–7.
  11. van Eck M, Nicolson N, Berkhof H, Sulon J. Individual differences in cortisol responses to a laboratory speech task and their relationship to responses to stressful daily events. Biol Psychol 1996; 43: 69–84.[CrossRef][Medline]
  12. Lundberg U, Melin B, Fredrikson M, Tuomisto M, Frankenhaeuser M. Comparison of neuroendocrine measurements under laboratory and naturalistic conditions. Pharmacol Biochem Behav 1990; 37: 697–702.[CrossRef][Medline]
  13. Gable SL, Reis HT, Elliot AJ. Behavioral activation and inhibition in everyday life. J Pers Soc Psychol 2000; 78: 1135–49.[CrossRef][Medline]
  14. Marco CA, Neale JM, Schwartz JE, Shiffman S, Stone AA. Coping with daily events and short-term mood changes: an unexpected failure to observe effects of coping. J Consult Clin Psychol 1999; 67: 755–64.[CrossRef][Medline]
  15. van Eck M, Nicolson NA, Berkhof J. Effects of stressful daily events on mood states: relationship to global perceived stress. J Pers Soc Psychol 1998; 75: 1572–85.[CrossRef][Medline]
  16. Buchanan TW, al’Absi M, Lovallo WR. Cortisol fluctuates with increases and decreases on negative affect. Psychoneuroendocrinology 1999; 24: 227–41.[CrossRef][Medline]
  17. Smyth J, Ockenfels MC, Porter L, Kirschbaum C, Hellhammer DH, Stone AA. Stressors and mood measured on a momentary basis are associated with salivary cortisol secretion. Psychoneuroendocrinology 1998; 23: 353–70.[CrossRef][Medline]
  18. van Eck M, Berkhof H, Nicolson N, Sulon J. The effects of perceived stress, traits, mood states, and stressful daily events on salivary cortisol. Psychosom Med 1996; 58: 447–58.[Abstract/Free Full Text]
  19. Peeters F, Nicolson NA, Berkhof J, Delespaul P, DeVries M. Effects of daily events on mood states in major depressive disorder. J Abnorm Psychol 2003; 112: 203–11.[CrossRef][Medline]
  20. Clark LA, Watson D. Mood and the mundane: relations between daily life events and self-reported mood. J Pers Soc Psychol 1988; 54: 296–308.[CrossRef][Medline]
  21. David JP, Green PJ, Martin R, Suls J. Differential roles of neuroticism, extraversion, and event desirability for mood in daily life: an integrative model of top-down and bottom-up influences. J Pers Soc Psychol 1997; 73: 149–59.[CrossRef][Medline]
  22. Berk LS, Tan SA, Fry WF, et al. Neuroendocrine and stress hormone changes during mirthful laughter. Am J Med Sci 1989; 298: 390–6.[Medline]
  23. Hubert W, de Jong-Meyer R. Emotional stress and saliva cortisol response. J Clin Chem Clin Biochem 1989; 27: 235–7.[Medline]
  24. Brown WA, Sirota AD, Niaura R, Engebretson TO. Endocrine correlates of sadness and elation. Psychosom Med 1993; 55: 458–67.[Abstract/Free Full Text]
  25. Hubert W, de Jong-Meyer R. Autonomic, neuroendocrine, and subjective responses to emotion-inducing film stimuli. Int J Psychophysiol 1991; 11: 131–40.[CrossRef][Medline]
  26. Hubert W, de Jong-Meyer R. Psychophysiological response patterns to positive and negative film stimuli. Biol Psychol 1991; 31: 73–93.[CrossRef][Medline]
  27. Clark L, Iversen SD, Goodwin GM. The influence of positive and negative mood states on risk taking, verbal fluency, and salivary cortisol. J Affect Disord 2001; 63: 179–87.[CrossRef][Medline]
  28. Sapolsky RM. Why stress is bad for your brain. Science 1996; 273: 749–50.[CrossRef][Medline]
  29. deVries M. The Experience of Psychopathology: Investigating Mental Disorders in Their Natural Settings. Cambridge: Cambridge University Press; 1992.
  30. Nelson JC, Davis JM. DST studies in psychotic depression: a meta-analysis. Am J Psychiatry 1997; 154: 1497–503.[Abstract/Free Full Text]
  31. Posener JA, DeBattista C, Williams GH, Kraemer HC, Kalehzan BM, Schatzberg AF. 24-Hour monitoring of cortisol and corticotropin secretion in psychotic and nonpsychotic major depression. Arch Gen Psychiatry 2000; 57: 755–60.[Abstract/Free Full Text]
  32. Oldehinkel AJ, van den Berg MD, Flentge F, Bouhuys AL, ter Horst GJ, Ormel J. Urinary free cortisol excretion in elderly persons with minor and major depression. Psychiatry Res 2001; 104: 39–47.[CrossRef][Medline]
  33. Rybakowski JK, Twardowska K. The dexamethasone/corticotropin-releasing hormone test in depression in bipolar and unipolar affective illness. J Psychiatr Res 1999; 33: 363–70.[CrossRef][Medline]
  34. Holsboer F, Lauer CJ, Schreiber W, Krieg JC. Altered hypothalamic-pituitary-adrenocortical regulation in healthy subjects at high familial risk for affective disorders. Neuroendocrinology 1995; 62: 340–7.[Medline]
  35. Young E, Korszun A. Women, stress, and depression: sex differences in hypothalamic-pituitary-adrenal axis regulation. In: Leibenluft E, editor. Gender Differences in Mood and Anxiety Disorders. Washington, DC: American Psychiatric Press; 1999. p. 31–52.
  36. First MB, Spitzer RL, Gibbon M, Williams JBW. Structured Clinical Interview for DSM-IV Axis I Disorders. New York: Biometrics Research Department, New York State Psychiatric Institute; 1995.
  37. Hamilton M. Development of a rating scale for primary depressive illness. Br J Soc Clin Psychol 1967; 6: 278–96.[Medline]
  38. Derogatis L, Lipman R, Cori L. SCL-90, an outpatient rating scale. Preliminary report. Psychopharmacol Bull 1973; 9: 542–75.
  39. Beck AT, Ward CH, Mendelson M. An inventory for measuring depression. Arch Gen Psychiatry 1961; 4: 561–71.
  40. Csikszentmihalyi M, Larson R. Validity and reliability of the Experience-Sampling Method. J Nerv Ment Dis 1987; 175: 526–36.[Medline]
  41. Goldstein H, Rasbash J, Plewis I, et al. A User’s Guide to MLwiN. London, Multilevel Models Project, Institute of Education, University of London; 1998.
  42. Pruessner JC, Wolf OT, Hellhammer DH, et al. Free cortisol levels after awakening: a reliable biological marker for the assessment of adrenocortical activity. Life Sci 1997; 61: 2539–49.[CrossRef][Medline]
  43. Bryk AS, Raudenbush SW. Hierarchical Linear Models: Applications and Data Analysis Methods. London: Sage Publications; 1992.
  44. Peeters FPML, Nicolson NA, Berkhof J. Levels and variability of daily life cortisol secretion in major depression. Psychiatry Res, in press.
  45. Taylor SE. Asymmetrical effects of positive and negative events: the mobilization-minimization hypothesis. Psychol Bull 1991; 110: 67–85.[CrossRef][Medline]
  46. Siever LJ, Davis KL. Overview: toward a dysregulation hypothesis of depression. Am J Psychiatry 1985; 142: 1017–31.[Abstract/Free Full Text]
  47. Young EA, Aggen SH, Prescott CA, Kendler KS. Similarity in saliva cortisol measures in monozygotic twins and the influence of past major depression. Biol Psychiatry 2000; 48: 70–4.[CrossRef][Medline]
  48. Kirschbaum C, Klauer T, Filipp SH, Hellhammer DH. Sex-specific effects of social support on cortisol and subjective responses to acute psychological stress. Psychosom Med 1995; 57: 23–31.[Abstract/Free Full Text]
  49. Nolen-Hoeksema S, Larson J, Grayson C. Explaining, the gender difference in depressive symptoms. J Pers Soc Psychol 1999; 77: 1061–72.[CrossRef][Medline]
  50. Taylor SE, Klein LC, Lewis BP, Gruenewald TL, Gurung RA, Updegraff JA. Biobehavioral responses to stress in females: tend-and-befriend, not fight-or-flight. Psychol Rev 2000; 107: 411–29.[CrossRef][Medline]
  51. Heim C, Newport DJ, Bonsall R, Miller AH, Nemeroff CB. Altered pituitary-adrenal axis responses to provocative challenge tests in adult survivors of childhood abuse. Am J Psychiatry 2001; 158: 575–81.[Abstract/Free Full Text]



This article has been cited by other articles:


Home page
Psychosom. Med.Home page
M. C. Wichers, I. Myin-Germeys, N. Jacobs, G. Kenis, C. Derom, R. Vlietinck, P. Delespaul, R. Mengelers, F. Peeters, N. Nicolson, et al.
Susceptibility to Depression Expressed as Alterations in Cortisol Day Curve: A Cross-Twin, Cross-Trait Study
Psychosom Med, April 1, 2008; 70(3): 314 - 318.
[Abstract] [Full Text] [PDF]


Home page
Proc. Natl. Acad. Sci. USAHome page
E. K. Adam, L. C. Hawkley, B. M. Kudielka, and J. T. Cacioppo
Day-to-day dynamics of experience-cortisol associations in a population-based sample of older adults
PNAS, November 7, 2006; 103(45): 17058 - 17063.
[Abstract] [Full Text] [PDF]


Home page
Psychosom. Med.Home page
A. Nierop, A. Bratsikas, R. Zimmermann, and U. Ehlert
Are Stress-Induced Cortisol Changes During Pregnancy Associated With Postpartum Depressive Symptoms?
Psychosom Med, November 1, 2006; 68(6): 931 - 937.
[Abstract] [Full Text] [PDF]


Home page
AJGPHome page
L. G. Chepenik, T. T. Have, D. Oslin, C. Datto, C. Zubritsky, and I. R. Katz
A Daily Diary Study of Late-Life Depression
Am J Geriatr Psychiatry, March 1, 2006; 14(3): 270 - 279.
[Abstract] [Full Text] [PDF]


Home page
Psychosom. Med.Home page
G. E. Miller, N. Rohleder, C. Stetler, and C. Kirschbaum
Clinical Depression and Regulation of the Inflammatory Response During Acute Stress
Psychosom Med, September 1, 2005; 67(5): 679 - 687.
[Abstract] [Full Text] [PDF]


Home page
Psychosom. Med.Home page
H. M. Burke, L. C. Fernald, P. J. Gertler, and N. E. Adler
Depressive Symptoms Are Associated With Blunted Cortisol Stress Responses in Very Low-Income Women
Psychosom Med, March 1, 2005; 67(2): 211 - 216.
[Abstract] [Full Text] [PDF]


This Article
Right arrow Abstract Freely available
Right arrow Figures Only
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Peeters, F.
Right arrow Articles by Berkhof, J.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Peeters, F.
Right arrow Articles by Berkhof, J.
Related Collections
Right arrow Endocrinology
Right arrow Depression
Right arrow Stress and Coping


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS