Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2013 Feb 15.
Published in final edited form as: Biol Psychiatry. 2011 Nov 23;71(4):344–349. doi: 10.1016/j.biopsych.2011.10.018

Lifetime Adversity Leads to Blunted Stress Axis Reactivity: Studies from the Oklahoma Family Health Patterns Project

William R Lovallo 1,2,*, Noha H Farag 3, Kristen H Sorocco 1,4, Andrew J Cohoon 1,2, Andrea S Vincent 5
PMCID: PMC3264696  NIHMSID: NIHMS334997  PMID: 22112928

Abstract

Background

Can stressful events in early life alter the response characteristics of the human stress axis? Individual differences in stress reactivity are considered potentially important in long-term health and disease, however little is known about the sources of these individual differences. We present evidence that adverse experience in childhood and adolescence can alter core components of the stress axis, including cortisol and heart rate reactivity.

Methods

We exposed 354 healthy young adults (196 women) to public speaking and mental arithmetic stressors in the laboratory. Stress responses were indexed by self-report, heart rate, and cortisol levels relative to measures on a nonstress control day. Subjects were grouped into those who had experienced 0, 1, or 2 or more significant adverse life events including Physical or Sexual Adversity (mugged, threatened with a weapon, experienced a break-in or robbery; or raped or sexually assaulted by a relative or nonrelative) or Emotional Adversity (separation from biological mother or father for at least 6 months prior to age 15).

Results

Experience of adversity predicted smaller heart rate and cortisol responses to the stressors in a dose-dependent fashion (0 > 1 > 2 or more events; (Fs = 5.79 and 8.11, ps < .004) for both men and women. This was not explained by differences in socioeconomic status, the underlying cortisol diurnal cycle, or subjective experience during the stress procedure.

Conclusion

The results indicate a long-term impact of stressful life experience on the reactivity of the human stress axis.

Keywords: gender, heart rate, cortisol, stress reactivity, lifetime adversity, mental stress

Cortisol release during acute stress represents both a mobilization of resources and a homeostatic moderator of the stress response (1). Accordingly, a normal cortisol response is taken as a sign of good systems integrity, and by extension stress responses much larger or smaller than normal may indicate systemic dysregulation with potential health implications (25). Although there are large individual differences in responses to psychological stress, the primary contributors to this individual difference factor remain poorly understood (6). Recent studies have suggested that the experience of adverse life events in childhood and adolescence may alter regulation of the hypothalamic-pituitary-adrenocortical axis (HPA) and contribute to increased rates of psychiatric disorders (710). However, most studies of early life adversity and altered HPA function have been done on persons with comorbid severe trauma and depression or posttraumatic stress disorder, making it difficult to estimate the effect of adversity independent of potential psychiatric vulnerabilities. Carpenter has recently shown that blunted stress cortisol responses may occur in otherwise healthy young adults exposed to childhood trauma and maltreatment (11, 12). In agreement with these findings of diminished response to psychological stress are studies showing diminished reactions to direct endocrine challenges in healthy persons with a history of adversity (13, 14). This literature has focused on adversity and the HPA, leaving unanswered the question of the impact of adversity on other components of the stress axis, in particular the cardiovascular system.

The present study examines cortisol and heart rate responses to a standardized psychological stress protocol incorporating simulated public speaking and mental arithmetic challenges (15). The study population included healthy young adults free of psychiatric comorbidities but who had experienced a range of physical and psychological adverse events in childhood and early adolescence.

Materials and Methods

Overview

The Oklahoma Family Health Patterns Project is a study of healthy young adults with and without a family history of alcoholism (Ns = 156 and 198, respectively). Because of the sample size and consistent protocol, the data set provides a useful resource for assessing the individual differences in stress reactivity in healthy young adults. In preliminary analyses family history of alcoholism was not a significant predictor of heart rate or cortisol reactivity when adversity was accounted for, Fs < 1.0. We therefore considered the present data set suitable for examining adversity independent of family history.

Subjects

The sample includes 354 persons (158 males, 196 females) recruited through community advertisement. Each subject signed a consent form approved by the Institutional Review Board of the University of Oklahoma Health Sciences Center and the Veterans Affairs Medical Center in Oklahoma City, OK, USA, and received financial compensation for participating.

Inclusion and exclusion criteria

Prospective volunteers were excluded if they had: a history of alcohol or drug dependence; met criteria for substance abuse within the past 2 months; failed a urine drug screen or an breath-alcohol test on days of testing; had a history of any Axis I disorder other than past depression, as defined by the Diagnostic and Statistical Manual of Mental disorders, 4th ed. (16). Women were required to have a negative urine pregnancy test on each day of testing. All participants were in good physical health, had a body mass index < 30, were not taking prescription medications, and had no reported history of serious medical disorder. Smoking and smokeless tobacco use were not exclusionary. Preliminary analyses showed no difference in cortisol reactivity between tobacco users and nonusers.

Because cortisol secretion is dependent on the sleep-wake cycle (17), volunteers were required to have a normal work or school schedule and to have a nighttime sleep pattern. Also, because acute cortisol secretion is affected by prevailing blood glucose levels (18), all volunteers ate a standard meal before beginning the protocol.

Subject background and psychological assessments

A preliminary telephone screening was followed by a lab visit for a psychiatric history assessed using the computerized version of the Diagnostic Interview Schedule-IV (C-DIS-IV) (19), conducted by a trained assistant under the supervision of a licensed clinical psychologist and assessment of family history of alcoholism.

Lifetime adversity was based on C-DIS-IV items that were closely similar to the life events assessed retrospectively in the studies by Caspi (20, 21) as follows: Physical or Sexual Adversity (Have you ever been mugged or threatened with a weapon. Have you ever experienced a break-in or robbery? Have you ever been raped or sexually assaulted by a relative? Have you ever been raped or sexually assaulted by someone not related to you?) and Emotional Adversity (Before you were 15, was there a time when you did not live with your biological mother for at least 6 months? Before you were 15, was there a time when you did not live with your biological father for at least 6 months?). Each person was assigned an adversity score ranging from 0 (no adverse events) to a maximum of 5. Social status was estimated using Hollingshead’s measure of socioeconomic status (SES), defined as the highest occupational level of the head of household in which the subject grew up (22).

Study design and procedure

Subjects visited the lab twice for behavioral and psychophysiological testing, and were tested at the same time on both days, either in the morning at 0900h (N = 169) or in the afternoon at 1300h (N = 185). To maximize stress responses, the first day in the lab involved the stress procedure and the second day was designated the resting control day. Subjects were briefed in advance of this test order and were told to expect to deliver short speeches and a mental arithmetic task. Placing stress exposure on day 1 is comparable to the use of a single study day as done in most stress research, as discussed previously (23).

Stress protocol

The stress protocol lasted 75 minutes consisting of a 30-min prestress baseline, when the subject sat quietly and read general interest magazines, followed by 45 min of behavioral stress. Stress included simulated public speaking (24) followed by mental arithmetic (15). The speech task (30 min) included three speeches prepared (4 min) and delivered (4 min) with no breaks before a video camera and observed by a white-coated experimenter holding a clipboard as described elsewhere (23). The subject was told that his or her speech would be shown to the laboratory staff and that they would judge the subject’s fluency of delivery and how convincing their speech was. The speech topics included recounting an article on why hair turns gray, presenting a position for or against whether homosexuals should be allowed to adopt children, and responding to an accusation that the subject was shoplifting. The order of speech topics was randomly assigned for each subject.

The 15-min mental arithmetic task consisted of three 5-min periods with no interruption other than brief instructions. At the start of each period, the subject was given a three-digit number (e.g. 298) and told to add the digits (19) and to add that total to the original number (317), to recite the new number aloud, and to proceed in that fashion for 5 min until told to stop. The experimenter monitored the answers and noted errors by telling the subject when an answer was wrong and to start back with their previous correct answer.

Resting control day

The protocol lasted 75 minutes, during which the subject sat and read general interest magazines or watched videotapes of nature programs lacking emotional content.

To assess subjective impact of rest and the stressors, subjects rated their moods at each saliva sample using 12 10-point visual-analogue scales adapted from Foresman (25) containing a Distress subscale (impatience, irritability, distress, pleasantness, and control), and an Activation subscale (effort, tension, concentration, interest, and stimulation).

Saliva collection times and cortisol assay

Saliva samples were collected using the Salivette device (Sarstedt, Newton, NC, USA) and taken at: awakening, arrival at the lab, min 10 and 20 of the baseline period, at min 15, 30, and 45 of the stress protocol or continued resting protocol, and 15 and 30 min poststress or rest, and at bedtime. Stress reactivity as reported here was measured at min 10 and 20 of the baseline period and at min 30 and 45 of the stress period contrasted with samples taken at the same times during the extended resting protocol.

Salivettes were centrifuged at 4200 RPM for 20 min. The saliva was transferred to cryogenic storage tubes and placed into a −20° C freezer until shipping. Saliva free cortisol assays were conducted by Salimetrics (State College, PA, USA) using a competitive enzymatic immunoassay (26) with a sensitivity of < .083 μg/dL and an interassay coefficient of variation of < 6.42%.

In preliminary analyses on cortisol data in the women, no differences were seen in the effect of adversity between the luteal and follicular groups, t = 0.71, p > 0.48. Similarly, women using oral birth control did not differ from those not doing so, t = 0.30, p = 0.76. Menstrual cycle and oral contraceptive effects were accordingly not considered in the subsequent analyses.

Heart rate

Heart rate was measured from readings made every 2 minutes using an oscillometric monitor (Dinamap, V100, General Electric, USA). These were made continuously during both days during the entire period of the protocol. Heart rate data were unavailable for 8 subjects due to recording failures.

Data analysis

Dependent variables were the cortisol and heart rate responses to stress. Cortisol response was measured as the value at the end of the stress period on the stress day minus the comparable value on the resting control day (23). Heart rate was measured as the mean heart rate during speech preparation periods minus the heart rate during the rest day protocol. This avoided confounding the heart rate data by vocal activity during the speech delivery or mental arithmetic answers. Data were analyzed using SAS software, Ver. 9.2 for Windows. Copyright© 2008 SAS Institute Inc. SAS and all other SAS Institute Inc., Cary, NC, USA.

Results

Demographics are shown in Table 1. Persons with more lifetime adversity had less education, and among females had lower SES and higher BMI. Alcohol intake patterns did not differ across adversity groups, among either men or women, ps ≥ 0.27. Persons with a family history of alcoholism reported more adverse life events than persons from nonalcoholic families among both males and females.

Table 1.

Subject Demographic and Biometric Characteristics

Males Females
0 1 >1 p 0 1 >1 p
N 85 45 28 79 77 40
Age (yr) 23.5 (0.3) 23.7 (0.5) 24.6 (0.7) 0.1 23.1 (0.3) 23.5 (0.4) 24.6 (0.5) 0.01
BMI (Kg/m2) 23.8 (0.4) 24.4 (0.6) 25.4 (1.0) 0.1 23.0 (0.5) 23.3 (0.5) 25.0 (1.2) 0.06
Education (yr) 15.8 (0.1) 15.2 (0.2) 15.0 (0.3) 0.003 15.6 (0.2) 15.3 (0.2) 14.8 (0.2) 0.01
SES 48 (1.5) 48 (1.9) 49 (2.4) 0.7 49 (1.5) 44 (1.6) 38 (2.0) .0001
Race (% White) 89 91 71 0.006 89 83 75 0.4
Smokers (%) (n) 9 (8) 16 (7) 14 (4) 0.5 10 (8) 9 (7) 18 (7) 0.4
AUDIT 4.0 (0.33) 4.4 (0.63) 3.6 (0.69) 0.78 3.3 (0.3) 3.6 (0.3) 2.7 (0.4) 0.42
Alcohol Use (oz/mo) 53 (4.84) 52 (6.89) 45 (7.34) 0.39 40 (3.89) 46 (3.6) 47 (7.11) 0.27
Fam Hx + (%) 25 40 74 .0001 21 60 85 .0001

Note: BMI = body mass index, SES = Hollingshead socioeconomic status index. AUDIT = Alcohol Use Disorders Identification Test.

Fam Hx + = Positive parental history of alcoholism.

Entries show M (SEM) or % of total. P values are based on F tests or

The psychological impact of the stressors was validated by greater self-reports of activation and distress on the stress day compared to the rest day (Table 2) (Day x Period, Fs (1, 343) = 44 and 14.3, respectively, ps ≤ 0.0001). There were comparable changes over time in reports of activation and distress on both days in both sexes, as indexed by nonsignificant Sex x Day x Period interaction terms, Fs (1, 343) < 1.0, NS). Since subjects were tested in both the morning and afternoon hours, we examined heart rate and cortisol as a function of time of day of testing and found that time of day did not account for a significant portion of the variance in any of the results reported below.

Table 2.

Reports of activation and distress on rest and stress days

Activation Reports
Study Period
Pre Post
Females
 Rest Day 2.8 (.121) 2.5 (.110)
 Stress Day 4.3 (.124) 5.1 (.112)
Males
 Rest Day 2.5 (.124) 2.2 (.123)
 Stress Day 4.0 (.143) 4.8 (.125)
Distress Reports
Females
 Rest Day 2.4 (.077) 2.4 (.073)
 Stress Day 2.9 (.106) 3.5 (.123)
Males
 Rest Day 2.4 (.071) 2.5 (.077)
 Stress Day 2.6 (.086) 3.2 (.108)

Note. Entries show M ± SEM.

Cortisol values on rest and stress days are shown in Figure S1, left panel (see Supplement 1). Cortisol responses to stress are shown in the top panel of Figure 1 for men and women with 0, 1, or > 1 adverse life events. The size of the cortisol response diminished as the number of lifetime adverse events increased, F (2, 348) = 5.79, p < 0.004. As expected, women had smaller cortisol responses than men, F (1, 348) = 15.99, p < 0.0001, although the effect of adversity was similar for men and women as indicated by a nonsignificant Sex x Adversity interaction, F (2, 348) < 1, NS. An expanded model including family history of alcoholism showed no effect of family history on cortisol reactivity, F < 1. Similarly cortisol responses did not differ for whites and nonwhites, t = 1.2, p = 0.23.

Figure 1.

Figure 1

Cortisol responses and heart rate responses in women and men experiencing three levels of lifetime adversity during childhood and adolescence.

Heart rate data are shown in Figure S1, right panel (see Supplement 1). The heart rate responses to stress are shown in the lower panel of Figure 1 and demonstrate a similar relationship; responses to psychological stress were smaller in men and women with greater numbers of adverse life events, F (2, 340) = 8.11, p < 0.0004. Women and men had similar overall levels of heart rate responses and there was no Sex x Adversity interaction, Fs < 1.45, ps > 0.23. Family history of alcoholism did not account for heart rate response differences across adversity groups, F < 1. Whites did not differ from nonwhites in heart rate responses, t = −0.76, p = 0.44.

Heart rate and cortisol responses were modestly but significantly correlated across all subjects, r = 0.29, p < 0.0001, and for men and women, rs = 0.32 and 0.34, respectively, ps < 0.0001.

We examined whether the type of adversity accounted for the above results and if this differed for men and women. As seen in Table 3, women experienced more total adversity, X2 = 9.08, p = .03, and more emotional and physical adversity, X2 = 5.71 and 11.23, ps = .006 and .01, respectively. We therefore carried out ANOVAs on cortisol and heart rate reactivity including Sex x Emotional adverse events (0, 1, 2) and Sex x Physical Abuse (0, 1, 2, 3) as independent variables. Reports of emotional adversity were significantly related to smaller cortisol and heart rate responses, Fs = 4.98 and 6.98, respectively, ps < 0.008, respectively. In contrast, reports of physical and sexual abuse did not account for a significant alteration in reactivity, Fs ≤ 2.15, ps > 0.097. Women and men were affected equally by exposure to adversity, as Sex and Sex x Adverse events terms were nonsignificant. Since low SES may also carry with it greater stress and exposure to forms of adversity, we examined SES in relation to cortisol and heart rate reactivity values and found no relationship, rs = 0.001 and 0.02, ps > 0.7, respectively.

Table 3.

Adverse Events Reports

Females Males
Total Events
0 41 (79) 54 (85)
1 39 (77) 28 (45)
2 13 (28) 15 (23)
3 > 7 (14) 3 (5)
X2 = 9.08, p = .03
Emotional Adverse Events
0 58 (114) 70 (111)
1 30 (58) 22 (35)
2 12 (24) 8 (12)
X2 = 5.71, p = .006
Physical and Sexual Abuse
0 71 (139) 70 (111)
1 23 (45) 30 (47)
2 4.5 (9) 0 (0)
3 1.5 (3) 0 (0)
X2 = 11.23, p = .01

Entries show % (n) of persons reporting each number and type of lifetime events.

We next asked whether smaller cortisol responses in persons with greater adversity were due to an altered perception of the stressors. ANOVAs showed that neither activation nor distress reports during stress exposure differed as a function of degree of adversity for men or women, shown by nonsignificant Adversity main effects and Sex x Adversity interaction terms, Fs < 1.4, NS.

The influence of adversity on cortisol stress reactivity raises the question of whether adversity diminished only stress reactivity or if nonstress HPA functioning was also affected. An altered diurnal pattern of cortisol secretion would suggest a fundamental shift in the regulation of the HPA as a function of adversity. In order to assess this, we examined the basal secretion of cortisol in the 10 repeated samples taken across the resting control day, as described above and as shown in Figure S2 (Supplement 1), using a Sex x Adversity x Period repeated measure ANOVA. There was a significant effect of period indicating the expected diurnal pattern, F (9, 2667) = 185, p < .0001, but neither sex nor adversity accounted for any differences in diurnal secretion across rest day samples, Fs = 0.00 and 0.22, ps NS, and there were also no sex or adversity interactions with period, Fs < 0.13, ps NS.

Discussion

The present study shows that men and women who experience more adverse life events prior to age 15 also have smaller cortisol and heart rate responses to psychological stress. These findings appear to illustrate an impact of stress exposure in childhood and adolescence on the regulation of the stress axis in adulthood.

Caspi and colleagues (20, 21) demonstrated the deleterious effect of childhood maltreatment on psychiatric and behavioral outcomes in persons with genetic vulnerabilities. Other studies have shown that early adversity may alter HPA reactivity. However, most studies focused on persons with psychiatric diagnoses, including major depression, substance dependence, or posttraumatic stress disorder. These comorbidities all have known endocrine effects, making it difficult to isolate the independent contribution of adversity. In addition to the present study, other studies in healthy adults also show reduced cortisol stress reactivity in persons with early life adverse experiences (11, 12, 27, 28). A related study found blunted cortisol reactivity in 12–16 year old girls exposed to childhood maltreatment (29). One study found no relationship (30). The present study generalizes these findings to encompass another main arm of the stress axis, the autonomic nervous system, which controls heart rate response during stress. Future analyses of heart rate response to stress in relation to adversity should include beat-to-beat variability measures in order to examine joint sympathetic and parasympathetic influences in different adversity groups.

We ruled out alterations in the intrinsic regulation of the HPA by observing normal diurnal secretion curves for the three adversity groups on a day with no stress, Figure S2 (Supplement 1). Others have also reported no effects of early adversity on basal secretion across the day (14). These findings suggest that exposure to adverse life events may alter the reactivity of the HPA to descending inputs associated with psychological stressors while leaving intrinsic regulation unaltered. We suspect the same for heart rate regulation since the adversity groups did not differ in resting heart rates. We also considered the possibility that persons exposed to greater adversity may have diminished psychological reactions to the stressors we used. However, the subjects in all three groups gave similar reports of subjective distress and activation at each saliva collection, which tends to rule out blunted emotional reactions as a cause of the diminished physiological responses. This suggests that the reactivity differences may originate in brain regions conveying the impact of a given psychological reaction to the output systems regulated by the hypothalamus and brainstem. One candidate for this level in the central nervous system includes the anterior cingulate gyrus and basal forebrain, including the hippocampus, amygdala, bed nucleus of the stria terminalis, and nucleus accumbens. The hippocampus and amygdala are both involved in HPA regulation and also play significant roles in shaping responses to external stimuli through their mutual declarative memory and Pavlovian conditioning histories (31, 32). The nucleus accumbens displays considerable plasticity of function based on experience with rewards and punishments (33). A limited neuroimaging literature supports the idea that childhood experience in the form of low SES shapes individual response differences at the level of the amygdala, basal forebrain, and anterior cingulate gyrus (3436).

A substantial literature in animal models shows that the experience of both nurturing and stressful events in early life can have permanent effects on brain systems controlling stress responsivity (3742). The results presented here are consistent with this literature as it applies to humans. In addition, these findings agree with recent reports in healthy young adults showing diminished cortisol reactivity in relation to adverse experience in childhood and adolescence (11, 12) and extend them to encompass diminished autonomic responsivity. At a clinical level reduced cortisol and autonomic responses to stress are in turn associated with externalizing disorders and impulsive tendencies (43, 44) and with earlier initiation of sexual activity in males and females (43), findings consistent with a model under which early life events program biological and behavioral adaptations that may have implications for health and behavior.

Other investigators have attempted to parse the influence of specific lifetime adverse experiences independent of background social status. In our data, diminished cortisol and heart rate responses were associated primarily with emotional adversity, which was identified based on separation from or loss of a biological parent prior to age 15. Physical abuse, sexual abuse, or exposure to violence did not predict variation in reactivity in our data. In a study by Carpenter and colleagues, childhood physical abuse predicted low cortisol reactivity in a sample of women (12) and in another study reactivity was predicted by emotional neglect in childhood (11). It is likely that variations in these results are due to the specific characteristics of the study sample and the degree to which each type of adversity is represented. There is no consistent evidence that one type of adversity has a differential impact in later life. A question of interest is the impact of stress at different times during development. The questions about lifetime adversity posed in this study covered events up to the time the respondent was 15 years of age, but age of exposure was not obtained in more detail. Therefore we cannot say if early childhood adversity may have had a differential impact than adversity in late childhood or early adolescence.

A strength of the present study is the sample size, which is relatively large among studies of stress reactivity. By confining our study sample to persons physically healthy and free of psychiatric comorbidities, we are able to generalize our findings to a broad segment of the general population. We also restricted our sample to persons who were nonobese, and our results are therefore not generalizable to obese populations that may also show HPA dysregulation (4547). The severity and types of adversity covered in our interview are commonly encountered; 55% of the present sample reported one or more adverse life events. As such, the present results may represent many persons, but they may not be generalizable to groups that have been severely traumatized or that meet diagnostic criteria for posttraumatic stress disorder (48, 49). A weakness of the present methodology is shared by most studies of adverse life experience in that the data are derived from retrospective self-report. We believe that this concern is mitigated by the relatively low likelihood that the cortisol and heart rate reactivity differences we saw resulted from systematic bias in how the subjects reported on life events. Instead, unreliable recall would be more likely to cause null findings in a study such as this.

In research on stress reactivity and health, it is most commonly assumed that larger stress responses are worse for health outcomes and that smaller responses are better, perhaps even desirable (5052). However, this view may miss events associated with the low end of the stress response continuum. We have argued elsewhere that stress responses should be viewed as having a normative range and that deviations from the norm in either direction may signal a systems dysregulation with potential health consequences (5, 23). This perspective suggests that studies of reactivity and health may benefit from examining persons at both ends of the reactivity continuum. Recent explorations in this direction have revealed that small stress responses, including both autonomic and endocrine indicators, are characteristic of persons at high risk of substance use disorders, persons with greater adiposity indices, poor vaccination response, and depression (4, 23, 5355). The present results therefore indicate that one source of reactivity differences that may impact on recruitment of normative cardiovascular and endocrine reactions to psychological challenges is the experience of adverse life events during critical phases of development.

These findings suggest that the experience of adverse events during childhood and adolescence are associated in a dose-response fashion with smaller cortisol and heart rate responses to psychological stress in both men and women. Exposure to adversity therefore appears to be a meaningful source of individual differences in reactivity to psychological stress. The results were found in an otherwise normative, healthy sample of young adults free of psychiatric comorbidities. This finding points to the role of personal experience in shaping the response characteristics of the human stress axis.

Supplementary Material

01

Acknowledgments

Supported by the Department of Veterans Affairs Medical Research Service, the National Institutes of Health, NIAAA, grants R01 AA019691 and R01 AA012207, and NIRR, grant M01 RR014467. The content is solely the view of the authors and does not necessarily represent the official view of the National Institutes of Health or the VA.

Footnotes

Author Contributions

W.R.L. designed the study and details of the protocol. N.H.F., A.J.C., and A.S.V. maintained the data set and analyzed the data. K.H.S. oversaw the assessment procedures and psychiatric interviews. All authors contributed to writing the paper and approve of its content.

Conflict of interest

All authors report no biomedical financial interests or potential conflicts of interest.

Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

References

  • 1.Selye H. Thymus and adrenals in the response of the organism to injuries and intoxications. Br J Exp Pathol. 1936;17:234–248. [Google Scholar]
  • 2.McEwen BS. Protective and damaging effects of stress mediators: central role of the brain. Dialogues Clin Neurosci. 2006;8:367–381. doi: 10.31887/DCNS.2006.8.4/bmcewen. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Phillips AC, Carroll D, Thomas GN, Gale CR, Deary I, Batty GD. The influence of multiple indices of socioeconomic disadvantage across the adult life course on the metabolic syndrome: the Vietnam Experience Study. Metabolism. 2010;59:1164–1171. doi: 10.1016/j.metabol.2009.11.009. [DOI] [PubMed] [Google Scholar]
  • 4.Carroll D, Lovallo WR, Phillips AC. Are large physiological reactions to acute psychological stress always bad for health? Social and Personality Psychology Compass. 2009;3:725–743. [Google Scholar]
  • 5.Lovallo WR. Do low levels of stress reactivity signal poor states of health? Biol Psychol. 2011;86:121–128. doi: 10.1016/j.biopsycho.2010.01.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Lovallo WR. Individual differences in response to stress and risk for addiction. In: al’Absi M, editor. Stress and addiction: Biological and psychological mechanisms. 1. Burlington, MA: Academic Press; 2007. pp. 227–248. [Google Scholar]
  • 7.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;158:575–581. doi: 10.1176/appi.ajp.158.4.575. [DOI] [PubMed] [Google Scholar]
  • 8.Caamano CA, Morano MI, Akil H. Corticosteroid receptors: a dynamic interplay between protein folding and homeostatic control. Possible implications in psychiatric disorders. Psychopharmacol Bull. 2001;35:6–23. [PubMed] [Google Scholar]
  • 9.Heim C, Newport DJ, Mletzko T, Miller AH, Nemeroff CB. The link between childhood trauma and depression: insights from HPA axis studies in humans. Psychoneuroendocrinology. 2008;33:693–710. doi: 10.1016/j.psyneuen.2008.03.008. [DOI] [PubMed] [Google Scholar]
  • 10.Taylor SE, Karlamangla AS, Friedman EM, Seeman TE. Early environment affects neuroendocrine regulation in adulthood. Soc Cogn Affect Neurosci. 2011;6:244–251. doi: 10.1093/scan/nsq037. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Carpenter LL, Carvalho JP, Tyrka AR, Wier LM, Mello AF, Mello MF, et al. Decreased adrenocorticotropic hormone and cortisol responses to stress in healthy adults reporting significant childhood maltreatment. Biol Psychiatry. 2007;62:1080–1087. doi: 10.1016/j.biopsych.2007.05.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Carpenter LL, Shattuck TT, Tyrka AR, Geracioti TD, Price LH. Effect of childhood physical abuse on cortisol stress response. Psychopharmacology (Berl) 2011;214:367–375. doi: 10.1007/s00213-010-2007-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Carpenter LL, Ross NS, Tyrka AR, Anderson GM, Kelly M, Price LH. Dex/CRH test cortisol response in outpatients with major depression and matched healthy controls. Psychoneuroendocrinology. 2009;34:1208–1213. doi: 10.1016/j.psyneuen.2009.03.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Klaassens ER, van Noorden MS, Giltay EJ, van Pelt J, van Veen T, Zitman FG. Effects of childhood trauma on HPA-axis reactivity in women free of lifetime psychopathology. Prog Neuropsychopharmacol Biol Psychiatry. 2009;33:889–894. doi: 10.1016/j.pnpbp.2009.04.011. [DOI] [PubMed] [Google Scholar]
  • 15.al’Absi M, Bongard S, Buchanan T, Pincomb GA, Licinio J, Lovallo WR. Cardiovascular and neuroendocrine adjustment to public speaking and mental arithmetic stressors. Psychophysiology. 1997;34:266–275. doi: 10.1111/j.1469-8986.1997.tb02397.x. [DOI] [PubMed] [Google Scholar]
  • 16.American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders. 4. Washington, D.C: American Psychiatric Association; 1994. (text rev.) [Google Scholar]
  • 17.Czeisler CA, Klerman EB. Circadian and sleep-dependent regulation of hormone release in humans. Recent Prog Horm Res. 1999;54:97–130. discussion 130–132. [PubMed] [Google Scholar]
  • 18.Dallman MF. Fast glucocorticoid feedback favors ‘the munchies’. Trends Endocrinol Metab. 2003;14:394–396. doi: 10.1016/j.tem.2003.09.005. [DOI] [PubMed] [Google Scholar]
  • 19.Blouin AG, Perez EL, Blouin JH. Computerized administration of the Diagnostic Interview Schedule. Psychiatry Res. 1988;23:335–344. doi: 10.1016/0165-1781(88)90024-8. [DOI] [PubMed] [Google Scholar]
  • 20.Caspi A, Sugden K, Moffitt TE, Taylor A, Craig IW, Harrington H, et al. Influence of life stress on depression: moderation by a polymorphism in the 5-HTT gene. Science. 2003;301:386–389. doi: 10.1126/science.1083968. [DOI] [PubMed] [Google Scholar]
  • 21.Caspi A, McClay J, Moffitt TE, Mill J, Martin J, Craig IW, et al. Role of genotype in the cycle of violence in maltreated children. Science. 2002;297:851–854. doi: 10.1126/science.1072290. [DOI] [PubMed] [Google Scholar]
  • 22.Hollingshead AB. Four factor index of social status. Yale University; New Haven, CT: 1975. p. 22. [Google Scholar]
  • 23.Lovallo WR, Farag NH, Vincent AS. Use of a resting control day in measuring the cortisol response to mental stress: diurnal patterns, time of day, and gender effects. Psychoneuroendocrinology. 2010;35:1253–1258. doi: 10.1016/j.psyneuen.2010.02.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Saab PG, Matthews KA, Stoney CM, McDonald RH. Premenopausal and postmenopausal women differ in their cardiovascular and neuroendocrine responses to behavioral stressors. Psychophysiology. 1989;26:270–280. doi: 10.1111/j.1469-8986.1989.tb01917.x. [DOI] [PubMed] [Google Scholar]
  • 25.Lundberg U, Frankenhaeuser M. Pituitary-adrenal and sympathetic-adrenal correlates of distress and effort. J Psychosom Res. 1980;24:125–130. doi: 10.1016/0022-3999(80)90033-1. [DOI] [PubMed] [Google Scholar]
  • 26.Salimetrics . 2005. High sensitivity salivary cortisol enzyme immunoassay kit [Google Scholar]
  • 27.Elzinga BM, Roelofs K, Tollenaar MS, Bakvis P, van Pelt J, Spinhoven P. Diminished cortisol responses to psychosocial stress associated with lifetime adverse events a study among healthy young subjects. Psychoneuroendocrinology. 2008;33:227–237. doi: 10.1016/j.psyneuen.2007.11.004. [DOI] [PubMed] [Google Scholar]
  • 28.Kraft AJ, Luecken LJ. Childhood parental divorce and cortisol in young adulthood: evidence for mediation by family income. Psychoneuroendocrinology. 2009;34:1363–1369. doi: 10.1016/j.psyneuen.2009.04.008. [DOI] [PubMed] [Google Scholar]
  • 29.MacMillan HL, Georgiades K, Duku EK, Shea A, Steiner M, Niec A, et al. Cortisol response to stress in female youths exposed to childhood maltreatment: results of the youth mood project. Biol Psychiatry. 2009;66:62–68. doi: 10.1016/j.biopsych.2008.12.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.DeSantis SM, Baker NL, Back SE, Spratt E, Ciolino JD, Moran-Santa Maria M, et al. Gender differences in the effect of early life trauma on hypothalamic-pituitary-adrenal axis functioning. Depress Anxiety. 2011;28:383–392. doi: 10.1002/da.20795. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Davis M. The role of the amygdala in conditioned and unconditioned fear and anxiety. In: Aggleton JP, editor. The amygdala: A functional analysis. Oxford, England: Oxford University Press; 2000. pp. 213–287. [Google Scholar]
  • 32.Milner B, Penfield W. The effect of hippocampal lesions on recent memory. Trans Am Neurol Assoc. 1955:42–48. [PubMed] [Google Scholar]
  • 33.Belin D, Mar AC, Dalley JW, Robbins TW, Everitt BJ. High impulsivity predicts the switch to compulsive cocaine-taking. Science. 2008;320:1352–1355. doi: 10.1126/science.1158136. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Gianaros PJ, May JC, Siegle GJ, Jennings JR. Is there a functional neural correlate of individual differences in cardiovascular reactivity? Psychosom Med. 2005;67:31–39. doi: 10.1097/01.psy.0000151487.05506.dc. [DOI] [PubMed] [Google Scholar]
  • 35.Gianaros PJ, Sheu LK. A review of neuroimaging studies of stressor-evoked blood pressure reactivity: emerging evidence for a brain-body pathway to coronary heart disease risk. Neuroimage. 2009;47:922–936. doi: 10.1016/j.neuroimage.2009.04.073. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Gianaros PJ, Horenstein JA, Hariri AR, Sheu LK, Manuck SB, Matthews KA, et al. Potential neural embedding of parental social standing. Soc Cogn Affect Neurosci. 2008;3:91–96. doi: 10.1093/scan/nsn003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Spinelli S, Chefer S, Suomi SJ, Higley JD, Barr CS, Stein E. Early-life stress induces long-term morphologic changes in primate brain. Arch Gen Psychiatry. 2009;66:658–665. doi: 10.1001/archgenpsychiatry.2009.52. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Byrne G, Suomi SJ. Social separation in infant Cebus apella: patterns of behavioral and cortisol response. Int J Dev Neurosci. 1999;17:265–274. doi: 10.1016/s0736-5748(99)00015-5. [DOI] [PubMed] [Google Scholar]
  • 39.Champagne DL, Bagot RC, van Hasselt F, Ramakers G, Meaney MJ, de Kloet ER, et al. Maternal care and hippocampal plasticity: evidence for experience-dependent structural plasticity, altered synaptic functioning, and differential responsiveness to glucocorticoids and stress. J Neurosci. 2008;28:6037–6045. doi: 10.1523/JNEUROSCI.0526-08.2008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Ladd CO, Huot RL, Thrivikraman KV, Nemeroff CB, Meaney MJ, Plotsky PM. Long-term behavioral and neuroendocrine adaptations to adverse early experience. Prog Brain Res. 2000;122:81–103. doi: 10.1016/s0079-6123(08)62132-9. [DOI] [PubMed] [Google Scholar]
  • 41.Gutman DA, Nemeroff CB. Persistent central nervous system effects of an adverse early environment: clinical and preclinical studies. Physiol Behav. 2003;79:471–478. doi: 10.1016/s0031-9384(03)00166-5. [DOI] [PubMed] [Google Scholar]
  • 42.Meaney MJ. Maternal care, gene expression, and the transmission of individual differences in stress reactivity across generations. Annu Rev Neurosci. 2001;24:1161–1192. doi: 10.1146/annurev.neuro.24.1.1161. [DOI] [PubMed] [Google Scholar]
  • 43.Brody S. Age at first intercourse is inversely related to female cortisol stress reactivity. Psychoneuroendocrinology. 2002;27:933–943. doi: 10.1016/s0306-4530(02)00007-0. [DOI] [PubMed] [Google Scholar]
  • 44.Raine A. Autonomic nervous system factors underlying disinhibited, antisocial, and violent behavior. Biosocial perspectives and treatment implications. Ann N Y Acad Sci. 1996;794:46–59. doi: 10.1111/j.1749-6632.1996.tb32508.x. [DOI] [PubMed] [Google Scholar]
  • 45.Epel ES, McEwen B, Seeman T, Matthews K, Castellazzo G, Brownell KD, et al. Stress and body shape: stress-induced cortisol secretion is consistently greater among women with central fat. Psychosom Med. 2000;62:623–632. doi: 10.1097/00006842-200009000-00005. [DOI] [PubMed] [Google Scholar]
  • 46.Weigensberg MJ, Toledo-Corral CM, Goran MI. Association between the metabolic syndrome and serum cortisol in overweight Latino youth. J Clin Endocrinol Metab. 2008;93:1372–1378. doi: 10.1210/jc.2007-2309. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Farag NH, Moore WE, Lovallo WR, Mills PJ, Khandrika S, Eichner JE. Hypothalamic-pituitary-adrenal axis function: relative contributions of perceived stress and obesity in women. J Womens Health (Larchmt) 2008;17:1647–1655. doi: 10.1089/jwh.2008.0866. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Cima M, Smeets T, Jelicic M. Self-reported trauma, cortisol levels, and aggression in psychopathic and non-psychopathic prison inmates. Biol Psychol. 2008;78:75–86. doi: 10.1016/j.biopsycho.2007.12.011. [DOI] [PubMed] [Google Scholar]
  • 49.Brewer-Smyth K, Burgess AW. Childhood sexual abuse by a family member, salivary cortisol, and homicidal behavior of female prison inmates. Nurs Res. 2008;57:166–174. doi: 10.1097/01.NNR.0000319501.97864.d5. [DOI] [PubMed] [Google Scholar]
  • 50.Everson SA, McKey BS, Lovallo WR. Effect of trait hostility on cardiovascular responses to harassment in young men. International Journal of Behavioral Medicine. 1995;2:172–191. doi: 10.1207/s15327558ijbm0202_6. [DOI] [PubMed] [Google Scholar]
  • 51.Kamarck TW, Lovallo WR. Cardiovascular reactivity to psychological challenge: conceptual and measurement considerations. Psychosom Med. 2003;65:9–21. doi: 10.1097/01.psy.0000030390.34416.3e. [DOI] [PubMed] [Google Scholar]
  • 52.Treiber FA, Kamarck T, Schneiderman N, Sheffield D, Kapuku G, Taylor T. Cardiovascular reactivity and development of preclinical and clinical disease States. Psychosom Med. 2003;65:46–62. doi: 10.1097/00006842-200301000-00007. [DOI] [PubMed] [Google Scholar]
  • 53.Manuck SB, Phillips JE, Gianaros PJ, Flory JD, Muldoon MF. Subjective socioeconomic status and presence of the metabolic syndrome in midlife community volunteers. Psychosom Med. 2010;72:35–45. doi: 10.1097/PSY.0b013e3181c484dc. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Carroll D, Phillips AC, Der G. Body mass index, abdominal adiposity, obesity, and cardiovascular reactions to psychological stress in a large community sample. Psychosom Med. 2008;70:653–660. doi: 10.1097/PSY.0b013e31817b9382. [DOI] [PubMed] [Google Scholar]
  • 55.Phillips AC, Carroll D, Burns VE, Drayson M. Neuroticism, cortisol reactivity, and antibody response to vaccination. Psychophysiology. 2005;42:232–238. doi: 10.1111/j.1469-8986.2005.00281.x. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

01

RESOURCES