Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2013 May 30.
Published in final edited form as: Depress Anxiety. 2012 Mar 16;29(5):386–391. doi: 10.1002/da.20919

THE IMPACT OF STRESSFUL LIFE EVENTS ON RELAPSE OF GENERALIZED ANXIETY DISORDER

Jennifer L Francis 1, Ethan Moitra 2,*, Ingrid Dyck 2, Martin B Keller 2
PMCID: PMC3667630  NIHMSID: NIHMS468686  PMID: 22431499

Abstract

Background

Stressful life events (SLEs) are associated with the onset of psychiatric disorders but little is known about the effects of SLEs on individuals already diagnosed with an anxiety disorder, particularly generalized anxiety disorder (GAD) in which worry about life events is a defining characteristic. This study examined the impact of SLEs on relapse in adults already diagnosed with GAD.

Methods

Data are obtained from the Harvard/Brown Anxiety Research Project (HARP), a naturalistic longitudinal study of adults with a current or past history of anxiety disorders. One hundred and twelve adults recovered from an episode of GAD and 27 subsequently relapsed during the study. Eight categories of SLEs were assessed via interview and were examined as predictors of GAD relapse.

Results

An increased total number of SLEs was associated with a higher cumulative probability of relapse into episode of GAD and there was a nonsignificant statistical trend indicating specific categories of SLEs including health, death, and family/friends/household were related to an increased probability of relapse into episodes of GAD.

Conclusions

SLEs impact the course of GAD and certain types of stressors may be more relevant to symptomatology than others. The change and uncertainty associated with SLEs may exacerbate existing worry tendencies even among those who have recovered from GAD.

Keywords: anxiety, course, adults, longitudinal, psychiatric

INTRODUCTION

Numerous studies support the connection between stressful life events (SLEs) and the development and course of depressive symptoms.[13] Despite high comorbidity between depression and anxiety,[4] less research attention has been paid to examining if SLEs similarly impact anxiety conditions. Of the anxiety disorders, SLEs are particularly relevant to generalized anxiety disorder (GAD). Worry about life events[5] is a defining characteristic of the disorder and etiological theories suggest that SLEs are important to the development and maintenance of GAD.[6]

GAD is one of the more common anxiety disorders, with a lifetime prevalence of 5.7% in the general population.[7] It is characterized by a chronic course[8, 9] and is associated with significant personal, economic, and societal burdens.[10, 11] Individuals diagnosed with GAD endorse more potentially traumatizing events during their lifetime[12] and more minor life events than nonanxious controls.[13] Among community and twin samples, the presence of one SLE predicted increased risk for new onset of GAD, and there was also an increased risk as a greater number of SLEs were endorsed.[2, 14] Additionally, university students with GAD were more likely to report SLEs than those without GAD and there was a positive association between SLEs and being in episode of GAD.[15] In sum, these data indicate SLEs are influential in the development of GAD. However, these studies fail to address the temporal relationship between SLEs and symptoms among individuals already diagnosed with GAD.

It would seem likely that the presence of SLEs, which typically leads to change and uncertainty, would be problematic for a worrier, and could lead to a relapse of GAD symptoms. The objective of this study was to examine the effect of SLEs on GAD relapse in a sample of participants enrolled in the Harvard/Brown Anxiety Disorders Research Program (HARP). HARP’s prospective, longitudinal design allowed for a closer examination of the impact of life stressors on GAD symptoms. We investigated the relationship between total number of SLEs and GAD relapse, predicting that a greater number of SLEs would be predictive of relapse. We also examined the relationship between specific categories (e.g. work, health) of SLEs and GAD relapse to gain insight into what type of SLE was most likely to precipitate relapse. Improved understanding of factors that affect the course of GAD would be beneficial to assist clinicians in recognizing risks for symptom change and to assist patients in utilizing coping strategies to reduce the potential impact of SLEs.

METHOD

PARTICIPANTS

Participants were recruited for the Harvard/Brown Anxiety Research Program (HARP), a prospective longitudinal observational multicenter study of adults with a current or past history of anxiety disorders. Seven hundred and eleven participants entered into the study from over 30 clinicians’ practices at 11 different clinical treatment facilities in the New England area. These methods are described in detail elsewhere.[16] Inclusion criteria were a past or current DSM-III-R (Diagnostic and Statistical Manual of Mental Disorders) diagnosis of at least one of the following at intake: Panic Disorder without Agoraphobia, Panic Disorder with Agoraphobia, Agoraphobia without Panic Disorder, Social Phobia, or GAD. Participants must have been at least 18 years of age at intake, willing to voluntarily participate in the study, and sign a written consent form. Exclusion criteria consisted of the presence of an organic brain syndrome, a history of schizophrenia, or current psychosis at intake.

Of the 711 participants enrolled in HARP, a total of 170 were diagnosed with GAD at intake. For the purposes of this paper, in order to have a GAD relapse, a participant had to have recovered first. Of the 170 diagnosed with GAD, 112 (65.9%) relapsed during the study period. Because we collect weekly data on illness severity and because relapse and recovery could occur within the same 12-month follow-up period or less, we had sufficient data for analyses on all 112 individuals.

PROCEDURES

Participants were interviewed in person for the initial assessment and then subsequent interviews were conducted by telephone. Follow-up interviews were assessed at 6-month intervals for the first 2 years of HARP and then annually thereafter. SLE data collection occurred during years 10–17 of the study for a total of 7 years. Interviews were conducted by bachelors- and masters-level trained, experienced clinical interviewers. All received careful and rigorous training from an intensive training program that has been developed and successfully used for the past 30 years. Participants were paid $50 for their participation at each interview.

MEASURES

Structured Clinical Assessment (SCALUP)[17]

The SCALUP is a structured clinical interview used to assess diagnoses at intake. The Structured Clinical Interview for DSM-III-R Non-affective Disorders, Patient Version (SCID-P) and the Research Diagnostic Criteria (RDC) Schedule for Affective Disorders-Lifetime (SADS-L) were combined to create the SCALUP. The instrument yielded both present and past RDC diagnoses for affective disorders and DSM-III-R diagnoses for nonaffective (including anxiety) disorders. The DSM-III-R exclusion of a diagnosis of GAD during the course of a mood disorder was set aside for this study. Interviews usually took place in single sessions lasting 2–4 hr.

Longitudinal Interval Follow-Up Evaluation-Upjohn (LIFE-UP)[18]

The LIFE-UP is a follow-up interview used to assess monthly psychosocial functioning and the weekly course of psychiatric disorders using psychiatric status ratings (PSRs). Thus, the LIFE-UP facilitated measurement of weekly symptom severity of each participant’s individual diagnoses. PSRs measure the severity of illness on a six-point scale (Table 1). The greatest severity of GAD, a PSR six, requires full DSM-III-R criteria in addition to major disruption in functioning. A PSR of three includes three to five symptoms of GAD and worry less than 50% of the time, whereas occasional worry is designated by a PSR of two. PSRs are assessed on a weekly basis, generating change points.

TABLE 1.

Psychiatric status ratings (PSRs) for generalized anxiety disorder

Code Definition
6 Experiences worry and anxiety more days than not, accompanied by at least six of 18 DSM-III-R symptoms for GAD, and these symptoms cause a major disruption in functioning
5 Experiences worry and anxiety more days than not, accompanied by at least six of 18 DSM-III-R symptoms for GAD, but these symptoms cause no major disruption in functioning. Impairment not required to make full criteria.
4 Experiences worry and anxiety more days than not, but only has three to five symptoms associated with GAD or has at least six symptoms associated with GAD but does not experience worry and anxiety more days than not
3 Has only three to five symptoms associated with GAD and does not experience worry and anxiety more days than not
2 Experiences only occasional worry and anxiety, and may or may not be bothered by one or two symptoms associated with GAD
1 None of the above

DEFINITIONS OF RECOVERY AND RELAPSE

Consistent with previous research from this sample (e.g.[19, 20]), recovery and relapse in this study were defined prospectively. Full recovery was defined as occasional or no symptoms (PSR of 1 or 2) for eight consecutive weeks, a time period that can detect noticeable changes in morbidity and minimize transient changes in psychopathological state. Participants who experienced a full recovery were designated as relapsed if their PSR score increased to either 5 or 6 (full criteria) for 4 weeks or longer.

Assessment of interrater reliability of all anxiety disorder PSRs found good-to-excellent reliability, with intraclass correlation coefficients ranging from .78 to .84 for GAD. The long-term test–retest conducted to assess the reliability of using subjects’ retrospective recall to assess PSRs over 1 year found very good to excellent reliability for the anxiety disorders and major depression. For GAD, the reliability of retrospective symptom recall ranged from .97 to 1.00. A more detailed description of the interrater reliability, subject recall, and validity of the LIFE-UP is reported in Warshaw et al.[21, 22]

Stressful Life Events (SLE)[23,24]

The SLE interview is a rater administered interview modified from the Psychiatric Epidemiology Research Interview (PERI[25]). The SLE is used to assess the presence of 111 different stressors during the preceding year, including the start and end dates of the events, ratings of perceived stress, and whether the impact on the subject’s life was good or bad. Elven categories were assessed and the number of items within each domain include school (n = 7), work (n = 25), love (n = 17), health (n = 11), crime and legal (n = 11), money and financial (n = 7), friends/family/household (n = 11), residence (n = 6), personal (n = 2), death (n = 7), and childbirth (n = 7). Perceived stress was measured on a four-point scale from “not stressful” to “very stressful.” Only those events that the participant endorsed as “somewhat” or “very stressful” were included in these analyses.

STATISTICAL ANALYSES

Statistical analyses were conducted using SAS Version 9.1 (SAS Institute Inc., Cary, NC). Kaplan–Meier estimates were used to examine relapse of GAD. Cox proportional hazard regression models were used to examine the independent effects of SLEs (number of events from eight categories) on the risk of GAD relapse over a 7-year follow-up period. We did not examine the childbirth, personal, and school SLE categories due to the low number of endorsements. Subject selection required having met full criteria GAD at entry to the study or to have a GAD onset at a later time in the study. From this sample, we required the subject to have had at least 1 week of GAD PSR. Thus, if someone met criteria at study inclusion and then quickly recovered, we were still able to capture their data.

A relapse event was identified and an SLE was included in the analyses if it occurred in the month prior to GAD relapse. The 1-month timeframe was based on prior research in anxiety and depression indicating that the highest risk for onset of the disorders was within the month of SLE occurrence.[2] Additionally, the analyses of time to relapse used the time-varying predictor of whether the participant experienced stress in the 4 weeks preceding the relapse and assessed the entire span of time each participant had both stress data and GAD PSRs. Analyses for our manuscript controlled for age, gender, and presence/absence of major depression as a weekly time-varying covariate. However, because the covariates were nonsignificant they were not included in the final models. Significance of P < .006 was used to correct for the multiple comparisons and Benjamini–Hochberg multiple testing adjustments[26] were used to control for Type I error.

RESULTS

PARTICIPANTS

Of the 112 individuals who recovered from an episode of GAD, a majority were female (64.3%; n = 72), had at least a high school education (92.9%; n = 104), and were married (54.5%; n = 61). Their average age at baseline was 39.5 (SD = 12.2) years. Comorbid diagnoses included panic disorder with agoraphobia (46.4%), social phobia (28.6%), major depressive disorder (25.9%), and panic disorder (8.9%).

GAD RELAPSE

Of the 112 participants who recovered from GAD, we examined the impact of SLEs on those who went on to experience a relapse. Twenty-seven out of one hundred and twelve (24.1%) individuals experienced a relapse at some point during the 8 years of life events data collection. The mean length of time from GAD recovery to relapse was 648.2 weeks (SD = 56.3 weeks; 12.5 years) with a range of 548 weeks (10.54 years) to 766 weeks (14.73 years).

STRESSFUL LIFE EVENTS

The average number of stressors and the frequency of stressors reported per year across each year of SLE data collection are presented in Table 2. For example, of the 38 participants who had SLE and PSR data during Year 1 of life event data collection, the average number of stressors reported was 1.29 (SD = 1.18). Additionally, 12 of 38 participants (31.6%) reported one stressor during Year 1. Table 3 presents the frequency of SLE by category across the 8 years of data collection for the 112 participants who had recovered from GAD. The most frequently reported category of stressors was health (e.g. hospitalization for a life-threatening physical illness, injury, or major surgery; n = 97; 86.7%), followed by death (e.g. spouse/mate died; n = 70; 62.5%), and work (e.g. had trouble with a boss, fired from work; n = 68; 60.7%). Residential stressors (e.g. lost a residence through a disaster, moving) were the least frequently reported stressors (n = 27, 24.1%).

TABLE 2.

Mean and frequency of stressors by year of data collection for participants who recovered from GAD

Year n Number of stressors
Mean (SD) 0 1 2 3–6
1 38 1.29 (1.18) 11 28.95% 12 31.6% 11 28.9% 4 (11%)
2 99 1.43 (1.13) 23 23.2% 32 32.3% 26 26.3% 18 (18.2%)
3 109 1.52 (1.28) 24 22.0% 39 35.8% 23 21.1% 23 (21.1%)
4 103 1.74 (1.26) 18 17.5% 32 31.1% 22 21.4% 31 (30.1%)
5 96 1.71 (1.36) 20 20.8% 29 30.2% 20 20.8% 27 (28.1%)
6 85 1.53 (1.26) 19 22.4% 29 34.1% 19 22.4% 18 (21.2%)
7 52 1.50 (1.31) 13 25.0% 17 32.7% 11 21.2% 11 (21.2%)
8 8 2.25 (1.75) 2 25.0% 1 12.5% 1 12.5% 4 (50.0%)

TABLE 3.

Frequency of stressor categories across 7 years of SLE data collection

Type of stressor Frequency %
Health 97 86.61
Death 70 62.5
Work 68 60.71
Friends, family, household 51 45.54
Love 42 37.5
Crime 37 33.04
Money 36 32.14
Residential 27 24.11

IMPACT OF SLES ON GAD RELAPSE

The total number of SLEs experienced (in the previous 4 weeks) was related to GAD relapse (HR = 1.63; 95% CI, 1.18–2.26; P < .003). After adjustment of the data using Benjamini–Hochberg corrections, there was a nonsignificant trend for the following stressors predicting GAD relapse: health (HR, 1.55; 95% CI: 1.03–2.32, P = .03), death (HR = 5.42, 95% CI: 1.22–24.03, P = .03), and family friends or household (HR = 3.76; 95% CI: 1.27–11.13, P = .02), meaning that the occurrence of these stressors was associated with a worsening of GAD symptoms. GAD relapse was not related to stressors involving work, money, love, crime, or residential matters (P’s > .006), as results showed these SLEs did not precipitate symptom worsening.

Initial statistical analyses examined main effects for depression, age, and gender but there were no significant effects for these variables; therefore, they were not included in the final analyses.

DISCUSSION

This study examined the effects of SLEs on relapse of GAD among participants in a naturalistic, longitudinal study of adults with anxiety disorders. Results revealed that in the 4 weeks prior to a relapse, the total number of SLEs predicted the relapse, indicating that SLEs impact the course of GAD. This is consistent with evidence that SLEs also impact the course of other disorders such as depression, [2] panic disorder,[27] and hoarding.[28] We examined presence/absence of depression as a covariate predicting GAD relapse. Our findings suggested that depression did not account for any unique variance in the prediction of GAD relapse.

In the case of GAD, where worry about minor, miscellaneous, and future events is a hallmark symptom, it seems likely that SLEs (e.g. serious illness) would exacerbate existing worry tendencies. SLEs create change and uncertainty, and intolerance of uncertainty is considered to play a role in the development and maintenance of GAD.[29] The Intolerance of Uncertainty Model posits that individuals with GAD find uncertain or ambiguous situations to be stressful, which leads to chronic worry, cognitive avoidance, and impaired problem orientation.[30] Additionally, individuals who are intolerant of uncertainty tend to overestimate the probability of occurrence for highly unlikely future events and worry about how to handle them “if” they happen.[31] Thus, it is possible that the occurrence of SLEs creates new worry, reinforces the use of worry as a coping strategy because the “unlikely” event actually happened, and further increases overall GAD symptomatology leading to relapse.

We did not find strong evidence for differential impact of specific types of SLEs on GAD relapse. Correcting for multiple comparisons, there was a statistical trend for SLEs related to death, health, or family/ friends/household to be associated with a worsening of GAD symptoms. These findings are consistent with smaller studies that have examined worry content in clinical populations, in which those diagnosed with GAD tend to worry more about future events and more about health and interpersonal/family issues compared to those without GAD.[32, 33] However, large community studies examining worry content reported that GAD-related worry is diverse and can fluctuate depending on a variety of factors including age, gender, and marital status.[34, 35] Data from the experimental literature also report significant variance in worry themes across individuals with GAD.[34] Thus, it may be that GAD worry is diffuse and idiosyncratic suggesting that particular categories of SLEs are less important than individual differences.

Treatment interventions that have integrated a focus on interpersonal functioning are not significantly more effective than standard GAD treatments.[36] Thus, from a clinical perspective, individual differences in response to particular life events, rather than the events themselves, likely need to be taken into consideration. Future research should investigate potential moderators in the relationship between SLEs and GAD including intolerance of uncertainty, coping strategies, and social support that would help inform theoretical models of GAD and improve understanding of who is most impacted by SLEs.

Several limitations of this study will need to be addressed in future research.

First, we only examined relapses that occurred during later years of the study (i.e. years 10–17) because this is when SLE data collection started. Our analyses did not include those individuals who had already relapsed in the first 9 years of the study or who remained in recovery throughout the years of SLE administration. There may be differences in response to SLEs between those individuals that relapse shortly after remission from GAD and those who experience a longer period of remission. Second, our relapse sample size was small, making definitive conclusions about the relationships between symptoms and events more difficult. Third, a potential confound in our approach may be that those with GAD have a tendency to report more SLEs than nonanxious controls[13, 36] due to attentional biases in which anxious individuals are more likely to interpret neutral events as threatening.[37] It has been argued that GAD worry tendencies might “create” SLEs, which leads to worsening of GAD. From a purely methodological approach, this could be problematic; but from a clinical perspective, we suggest it is reasonable and crucial to examine events that were personally relevant. Thus, although we did not control for this issue, the SLE interview in our study may assist in providing some increased objectivity over pure self-report ratings. The interview requires careful probing of endorsed events to fully assess the significance and impact of the event. For instance, interviewers were trained to ask the following questions when participants endorsed experiencing a change in their health status: How serious was the problem? Was it life-threatening? Did he/she need someone to care for them? Did he/she stay in the hospital? Did he/she lose time from work? These factors were used to inform the interviewer’s perspective on the significance of the event(s). Fourth, we did not control for the effects of treatment on course of illness. Previous HARP research[19] did not find any relationship between treatment and the course of GAD, social phobia, or panic disorder. This is not an unusual finding for a naturalistic study as treatment bias effects are significant and those who have the most severe symptoms receive the most treatment. Lastly, participants were diagnosed with GAD using DSM-III-R diagnostic criteria rather than the more current DSM-IV. Given the changes in GAD criteria from the third to fourth editions of the DSM, participants included in this study met more stringent criteria to be diagnosed with GAD[37] than individuals diagnosed using DSM-IV criteria, suggesting results can also apply to those who meet DSM-IV criteria.

Acknowledgments

The Harvard/Brown Anxiety Research Project (HARP) was supported by NIMH Grant MH51415. In the past, HARP received financial support from Wyeth-Ayerst Laboratories, through its Global Research Program on Anxiety and Depression, and Eli Lilly Laboratories. The original HARP principal and co-investigators included M.B. Keller, M.D. (Chairperson); J. Eisen, M.D.; E. Fierman, M.D.; R.M. Goisman, M.D.; I. Goldenberg, Psy.D.; G. Mallya, M.D.; A. Massion, M.D.; T. Mueller, M.D.; K. Phillips, M.D.; F. Rodriguez-Villa, M.D.; M.P. Rogers, M.D.; C. Salzman, M.D.; M.T. Shea, Ph.D.; G. Steketee, Ph.D.; R.L. Stout, Ph.D.; R.G. Vasile, M.D.; M.G. Warshaw, M.S.S., M.A.; R.B. Weisberg, Ph.D.; K. Yonkers, M.D.; and, C. Zlotnick, Ph.D. Additional contributions from: P. Alexander, M.D.; J. Cole, M.D; J. Ellison, M.D., M.P.H.; A. Gordon, M.D.; R. Hirschfeld Ph.D.; P. Lavori, Ph.D.; J. Perry, M.D.; L. Peterson; S. Rasmussen, M.D.; J. Reich, M.D., M.P.H.; J. Rice, Ph.D.; H. Samuelson, M.A.; D. Shera, M.S.; N. Weinshenker, M.D.; M. Weissman, Ph.D.; and, K. White, M.D.

Footnotes

Disclosure for Martin B. Keller, MD., Consultant Honoraria: CENEREX, Forest Laboratories, Medtronic, Organon, Pfizer, Shire, Wyeth, Sierra Neuropharmaceuticals. Grants Research: Pfizer, Wyeth. Advisory Boards: CENEREX, Forest Laboratories, Organon. Major Stockholder: None.

Conflict of interest: All other authors declare that they have no conflicts of interest.

References

  • 1.Brown GW, Harris TO. Life Events and Illness. New York: Guilford; 1989. [Google Scholar]
  • 2.Kendler KS, Karkowski LM, Prescott CA. Stressful life events and major depression: risk period, long-term contextual threat, and diagnostic specificity. J Nerv Ment Dis. 1998;186:661–669. doi: 10.1097/00005053-199811000-00001. [DOI] [PubMed] [Google Scholar]
  • 3.Kessler R. The effects of stressful life events on depression. Annu Rev Psychol. 1997;48:191–214. doi: 10.1146/annurev.psych.48.1.191. [DOI] [PubMed] [Google Scholar]
  • 4.Brown TA, Campbell LA, Lehman CL, Grisham JR, Mancill RB. Current and lifetime comorbidity of the DSM-IV anxiety and mood disorders in a large clinical sample. J Abnorm Psych. 2001;110:585–599. doi: 10.1037//0021-843x.110.4.585. [DOI] [PubMed] [Google Scholar]
  • 5.American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders. 4. Washington, DC: 1994. [Google Scholar]
  • 6.Barlow D. Anxiety and Its Disorders. New York: Guilford; 1988. [Google Scholar]
  • 7.Kessler R, Berglund P, Demler O, Jin R, Merikangas KR, Walters EE. Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication. Arch Gen Psychiatry. 2005;62:593–602. doi: 10.1001/archpsyc.62.6.593. [DOI] [PubMed] [Google Scholar]
  • 8.Keller MB. The long-term clinical course of generalized anxiety disorder. J Clin Psychiat. 2002;63(Suppl 8):11–16. [PubMed] [Google Scholar]
  • 9.Weisberg RB. Overview of generalized anxiety disorder: epidemiology, presentation, and course. J Clin Psychiat. 2009;70(Suppl 2):4–9. [PubMed] [Google Scholar]
  • 10.Wittchen H-U. Generalized anxiety disorder: prevalence, burden, and cost to society. Depress Anxiety. 2002;16(4):162–171. doi: 10.1002/da.10065. [DOI] [PubMed] [Google Scholar]
  • 11.Hoffman DL, Dukes EM, Wittchen H-U. Human and economic burden of generalized anxiety disorder. Depress Anxiety. 2008;25(1):72–90. doi: 10.1002/da.20257. [DOI] [PubMed] [Google Scholar]
  • 12.Roemer L, Molina S, Litz BT, Borkovec TD. Preliminary investigation of the role of previous exposure to potentially traumatizing events in generalized anxiety disorder. Depress Anxiety. 1996;4:134–138. doi: 10.1002/(SICI)1520-6394(1996)4:3<134::AID-DA6>3.0.CO;2-G. [DOI] [PubMed] [Google Scholar]
  • 13.Brantley PJ, Mehan DJ, Ames SC, Jones GN. Minor stressors and generalized anxiety disorder among low-income patients attending primary care clinics. J Nerv Ment Dis. 1999;187:435–440. doi: 10.1097/00005053-199907000-00007. [DOI] [PubMed] [Google Scholar]
  • 14.Blazer D, Hughes D, George L. Stressful life events and the onset of a generalized anxiety syndrome. Am J Psychiatry. 1987;144:1178–1183. doi: 10.1176/ajp.144.9.1178. [DOI] [PubMed] [Google Scholar]
  • 15.Ruscio AM, Sucheski C, Walters S. Relationship Between Life Stress and Generalized Anxiety Disorder: A Longitudinal Investigation. Reno, NV: Association for the Advancement of Behavior Therapy; 2002. [Google Scholar]
  • 16.Keller MB, Yonkers KA, Warshaw MG, et al. Remission and relapse in subjects with panic disorder and panic with agoraphobia: a prospective short interval naturalistic follow-up. J Nerv Ment Dis. 1994;182(5):290–296. doi: 10.1097/00005053-199405000-00007. [DOI] [PubMed] [Google Scholar]
  • 17.Keller M, Lavori P, Neilson E. SCALUP (SCID + SADS-L) Available from Dr. Keller; Butler Hospital, 345 Blackstone Blvd., Providence, RI, 02906: 1987. [Google Scholar]
  • 18.Keller M, Lavori P, Friedman B, et al. The longitudinal interval follow-up evaluation: a comprehensive method for assessing outcome in prospective longitudinal studies. Arch Gen Psychiatry. 1987;44:540–548. doi: 10.1001/archpsyc.1987.01800180050009. [DOI] [PubMed] [Google Scholar]
  • 19.Bruce SE, Yonkers KA, Otto MW, et al. Influence of psychiatric comorbidity on recovery and recurrence in generalized anxiety disorder, social phobia, and panic disorder: a 12-year prospective study. Am J Psychiatry. 2005;162(6):1179–1187. doi: 10.1176/appi.ajp.162.6.1179. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Yonkers KA, Bruce SE, Dyck IR, Keller MB. Chronicity, relapse, and illness–course of panic disorder, social phobia, and generalized anxiety disorder: findings in men and women from 8 years of follow-up. Depress Anxiety. 2003;17(3):173–179. doi: 10.1002/da.10106. [DOI] [PubMed] [Google Scholar]
  • 21.Warshaw MG, Keller MB, Stout RL. Reliability and validity of the longitudinal interval follow-up evaluation for assessing outcome of anxiety disorders. J Psychiat Res. 1994;28(6):531–545. doi: 10.1016/0022-3956(94)90043-4. [DOI] [PubMed] [Google Scholar]
  • 22.Warshaw MG, Dyck I, Allsworth J, Stout RL, Keller MB. Maintaining reliability in a long-term psychiatric study: an ongoing inter-rater reliability monitoring program using the longitudinal interval follow-up evaluation. J Psychiat Res. 2001;35(5):297–305. doi: 10.1016/s0022-3956(01)00030-9. [DOI] [PubMed] [Google Scholar]
  • 23.Evans D, Leserman J, Perkins D, et al. Stress-associated reductions of cytoxic T lymphocytes and natural killer cells in asymptomatic HIV infection. Am J Psychiatry. 1995;152:543–550. doi: 10.1176/ajp.152.4.543. [DOI] [PubMed] [Google Scholar]
  • 24.Leserman J, Petitto J, Perkins D, Folds J, Golden R, Evans D. Severe stress, depressive symptoms, and changes in lymphocyte subsets in human immunodeficiency virus-infected men: a two-year follow-up study. Arch Gen Psychiatry. 1997;54:279–285. doi: 10.1001/archpsyc.1997.01830150105015. [DOI] [PubMed] [Google Scholar]
  • 25.Dohrenwend BSKL, Askenasy AR, Dohrenwend BP. Exemplification of a method for scaling life events: the PERI Life Events Scale. J Health Soc Behav. 1978;19:205–229. [PubMed] [Google Scholar]
  • 26.Benjamini Y, Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc. 1995;57:289–300. [Google Scholar]
  • 27.Klauke B, Deckert J, Reif A, Pauli P, Domschke K. Life events in panic disorder – an update on “candidate stressors”. Depress Anxiety. 2010;27:716–730. doi: 10.1002/da.20667. [DOI] [PubMed] [Google Scholar]
  • 28.Tolin D, Meunier S, Frost R, Steketee G. Course of compulsive hoarding and its relationship to life events. Depress Anxiety. 2010;27(9):829–838. doi: 10.1002/da.20684. [DOI] [PubMed] [Google Scholar]
  • 29.Dugas M, Buhr K, Ladouceur R. The role of intolerance and uncertainty in etiology and maintenance. In: Heimberg RG, Turk CL, Mennin DS, editors. Generalized Anxiety Disorder: Advances in Research and Practice. New York: Guilford; 2004. pp. 143–163. [Google Scholar]
  • 30.Dugas M, Koerner N. Cognitive-behavioral treatment for generalized anxiety disorder: current status and future directions. J Cogn Psychother. 2005;19:61–68. [Google Scholar]
  • 31.Dugas M, Freeston MH, Ladouceur R. Intolerance of uncertainty and problem orientation in worry. Cognit Ther Res. 1997;21:593–606. [Google Scholar]
  • 32.Craske MG, Rapee RM, Jackel L, Barlow DH. Qualitative dimensions of worry in DSM-III-R generalized anxiety disorder subjects and nonanxious controls. Behav Res Ther. 1989;27(4):397–402. doi: 10.1016/0005-7967(89)90010-7. [DOI] [PubMed] [Google Scholar]
  • 33.Sanderson WC, Barlow DH. A description of patients diagnosed with DSM-III-R generalized anxiety disorder. J Nerv Ment Dis. 1990;178:588–591. doi: 10.1097/00005053-199009000-00006. [DOI] [PubMed] [Google Scholar]
  • 34.Lindesay J, Baillon S, Brugha T, et al. Worry content across the lifespan: an analysis of 16- to 74-year-old participants in the British National Survey of Psychiatric Morbidity 2000. Psychol Med: J Res Psychiat Allied Sci. 2006;36(11):1625–1633. doi: 10.1017/S0033291706008439. [DOI] [PubMed] [Google Scholar]
  • 35.Becker ES, Goodwin R, Holting C, Hoyer J, Margraf J. Content of worry in the community: what do people with generalized anxiety disorder or other disorders worry about? J Nerv Ment Dis. 2003;191(10):688–691. doi: 10.1097/01.nmd.0000092198.20420.fc. [DOI] [PubMed] [Google Scholar]
  • 36.Newman MG, Castonguay LG, Borkovec TD, et al. A randomized controlled trial of cognitive-behavioral therapy for generalized anxiety disorder with integrated techniques from emotion-focused and interpersonal therapies. J Consult Clin Psychol. 2011;79(2):171–181. doi: 10.1037/a0022489. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Brown TA, Marten PA, Barlow DH. Discriminant validity of the symptoms constituting the DSM-III-R and DSM-IV associated symptom criterion of generalized anxiety disorder. J Anxiety Disord. 1995;9(4):317–328. [Google Scholar]

RESOURCES