This unit covers Stress and the biopsychosocial model of illness
(II-A), Stressful life events and risk of illness (II-B),
Psychophysiological reactions to stressful events (II-C), and
Psychosocial mediators of stress (II-D).
Students completing this unit will be able to discuss:
Hans Selye (1956) referred to
stress as a response to stimuli called
stressors. He conceptualized this
response as nonspecific since many
stimuli can produce the same physiological changes.
Selye (1956) theorized that both negative and positive stimuli can
produce a stress response. He termed stress due to negative stimuli,
distress, and that due to positive
stimuli, eustress.
Each person responds to stressors in a unique way. This is called
response stereotypy. A
sympathetic responder may react with
sweaty hands, rapid heart rate, and elevated blood pressure. The stress
response is not always “fight or flight.” A
parasympathetic responder may increase digestive activity,
constrict the alveoli of the lungs, and faint from low blood pressure.
Engel's
(1977, 1980) biopsychosocial model
proposes that the complex interplay of psychological, biological,
and sociological factors results in health or illness. In this model,
stress is a psychological risk factor that affects and is influenced by
an individual's biology and sociology. The biopsychosocial model
challenges the biomedical model,
that illness is primarily due to biological abnormalities,
which has influenced medical practice since the 1700s (Taylor, 2006). A
clinician who adopts the biopsychosocial model assumes that health
depends on all three sets of factors and that these factors must be
assessed and addressed using an interdisciplinary approach when treating
illness (Schwartz, 1982).
Evidence supporting the biopsychosocial model include the
increased rates of psychological and medical disorders in divorced and
bereaved persons (Schneider, 1984).
Allostasis means matching type
(sympathetic or parasympathetic) and intensity of physiological
activation to situational demands (Brannon & Feist, 2004).
The allostatic load model (McEwen &
Seeman, 1999) proposes that when stressors are acute or repeatedly occur,
biological responses to stress (e.g., cortisol secretion or elevated
glutamate transmission) can have an aversive impact on the body. Over
time, the stress response, itself, may overwhelm body systems.
Researchers have linked high allostatic load to illness in children and
the elderly (Johnston-Brooks et al., 1998; Seeman et al., 1997).
The stress-diathesis model explains
that stressors interact with our inherited or acquired biological
vulnerabilities, diathesis, to
produce medical and psychological symptoms. From this perspective,
disease results when an individual is predisposed to a disease and
experiences stress. Life event scales like the SRRS and USQ may achieve
low predictive validity because they only and incompletely assess
stress; they do not evaluate vulnerability to illness (Marsland et al.,
2001).
Birnbaum and colleagues (2004)
reported that uncontrollable stressful situations activate the enzyme
protein kinase C (PKC), interfering
with prefrontal cortical functions like working memory. Elevated PKC
levels may result in symptoms of distractibility, impulsiveness, and
poor judgment seen in bipolar disorder and schizophrenia. Initial
psychotic episodes often follow stressors like leaving home for college
or the military. Very low levels of lead exposure can elevate PKC levels
in children, possibly impairing their regulation of behavior and
producing distractibility and impulsivity.
Epel and colleagues (2004) studied
58 healthy women who provided care for either healthy or chronically-ill
children. The
researchers administered a brief questionnaire that assessed chronic
stress during the previous month and obtained a blood sample to measure
telomere (DNA and protein that cover
the ends of chromosomes) length and levels of
telomerase (an enzyme that adds DNA to telomeres). With
repeated cell division, telomere DNA is lost, the telomere shortens, and
eventually cell division stops. When cells age, telomerase activity
declines and the telomere shortens.
The researchers found that the mothers of chronically-ill children
reported higher chronic stress levels than mothers of healthy children.
More years caring for chronically-ill children were correlated with
shorter telomeres and lower telomerase levels. Perceived levels of
chronic stress—and not a child's actual health status—predicted telomere
length. The researchers calculated that the cells of high-stress mothers
had aged 9 to 17 more years than those of the low-stress mothers.
Holmes and Rahe (1967) measured major positive and negative
life changes using their Social Readjustment
Rating Scale (SRRS). The scale lists 43 events, each assigned
a different Life Change Unit (LCU) value. They arranged these events in
descending order from death of a spouse (100 LCUs) to minor violations of
the law (11 LCUs). Individuals select the events they have experienced
within the last 6 to 24 months. Researchers calculate a stress score by
summing the LCU value of the checked events. Studies that combine
prospective (subjects report current events) and retrospective methods
(researchers examine subsequent health records) have reported increased
illness and accidents following increased stressful events (Johnson,
1986; Rahe & Arthur, 1978). However, the correlation between SRRS scores
and illness is around + 0.30 (Dohrenwend & Dohrenwend, 1984), which means
that the SRRS accounts for only 9% of the variance in illness.
The SRRS's popularity has received severe criticism and its popularity
has declined. Critics have argued that its positive events can actually
reduce the risk of illness (Ray, Jefferies, & Weir, 1995), the SRRS
assumes that an event impacts all people equally, the wording of some
items is vague (e.g., "change in responsibilities at work"), pessimism
can distort recollections of life events (Brett et al., 1990), and the
scale does not control for whether an event has been resolved (Turner &
Avison, 1992) or events controllability or probability (Gump & Matthews,
2000).
The Undergraduate Stress Questionnaire (USQ)
developed by Crandall and colleagues (1992)
instructs students to select events—mostly
hassles—they have experienced during the past two weeks. Higher
USQ scores are associated with increased use of health services.
The Perceived Stress Scale (PSS)
developed by Cohen and colleagues (1983) measures perceived hassles, major life changes, and shifts in coping
resources during the previous month using a 14-item scale. PSS items
assess the degree to which respondents rate their lives as unpredictable,
uncontrollable, and overloaded (p. 387). The PSS achieves good
reliability and validity (Brannon & Feist, 2004). PSS scores predict
cortisol levels (Harrell et al., 1996), fatigue, headache, and sore
throat (Lacey et al., 2000), and immune changes (Maes et al., 1997).
A hassle is a minor stressful event
like waiting in line. An uplift is a
minor positive event like receiving an unexpected call from a friend.
Kanner and colleagues (1981) developed a 117-item
Hassles Scale and 138-item
Uplifts Scale to measure negative and
positive daily experiences. Respondents selected the hassles and
uplifts they experienced during the previous month. Next, they rated the
degree to which they experienced each selected item on a 3-point scale to
assess their perception of each stressor. They found a moderate
correlation between hassles and major life changes.
Lazarus (1984) reported that the Hassles Scale better
predicted psychological health than major life changes.
DeLongis, Folkman, and Lazarus (1988)
replaced the Hassles and Uplifts Scales with a 53-item revised
Hassles and Uplifts Scale.
Respondents selected the items they experienced that day and rated each
item using a 4-point scale (none to a great deal). The
revised Hassles Scale better predicted headache frequency and intensity
(Fernandez & Sheffield, 1996) and inflammatory bowel disease frequency
(Searle & Bennett, 2001) than the SRRS. Consistent with Lazarus's
emphasis on appraisal of events, the perceived intensity of hassles
better predicted headache symptoms than the number of hassles.
The interaction between hassles and chronic stress is complex. Hassles
may increase the psychological distress produced by chronic stress (Serido,
Almeida, & Wethington, 2004). Conversely, chronic stress may reduce the
effects of hassles by placing them in perspective (McGonagle & Kessler,
1990).
Traumatic stress is produced by an
extremely intense stressor that disrupts coping and endangers ourselves
or others.
Posttraumatic stress disorder (PTSD)
is a severe and long-lasting anxiety disorder that often develops within
three months of a traumatic event. The exposure can
also be second-hand, such as witnessing domestic violence or learning about a
family tragedy (Crider, 2004; Lamprecht & Sack, 2002). The American Psychiatric
Association (2000) estimates the lifetime prevalence of PTSD
in the United States at about 8 percent.
While the earliest model of PTSD focused on trauma during combat,
subsequent research has shown that crime, domestic violence, natural
disasters, sexual assault, and terrorism can precipitate PTSD symptoms.
Since women are more likely than men to experience these stressful
events, it should not be surprising that they are more often diagnosed
with this disorder (Stein et al., 2000). Children and adolescent victims
and witnesses of violence also share an elevated risk of PTSD (Silva et
al., 2000).
PTSD can permanently damage the systems that regulate our stress
response, particularly the amygdala and hypothalamic-pituitary-adrenal
(HPA) axis. Researchers have documented increased fluctuation in cortisol
levels and persistent elevations in epinephrine, norepinephrine,
testosterone, and thyroxin (Taylor, 2006).
PTSD may promote medical illness through persistent immunosuppression
(Kawamura et al., 2001). Military veterans diagnosed with PTSD have a
greater risk of developing serious diseases following discharge than
veterans without PTSD (Deykin et al., 2001). PTSD may also exacerbate
pre-existing health problems. PTSD resulting from the September 11, 2001
World Trade Center attacks may have helped worsen asthmatic symptoms in
New York residents (Fagan et al., 2003).
Stressors can trigger complex adjustments that include negative
affective states (anxiety) and corresponding psychophysiological changes
(decreased heart rate variability). Barrett and
Russell's (1998) structural model represents each affective
state within a circumplex based on its degrees of affective valence
(unpleasant to pleasant) and affective
intensity (activation to deactivation). This allows an
affective state to fall inside or along the surface of this circular
structure.
Negative states (sad) are located in the left hemisphere and
positive states (contented) are
located in the right hemisphere. Activated
states (tense) are placed in the top hemisphere and
deactivated states (fatigued) are
placed in the bottom hemisphere. While adjacent affective states
(stressed and nervous) most resemble each other, those 180o
apart (stressed and relaxed) are opposites.
After clinicians identify their clients' position within the circumplex,
they may intervene to shift them to a more appropriate affective state,
like relaxed instead of nervous.
Researchers have reported psychophysiological correlates of the
affective valence and activation dimensions. Surface EMG (SEMG) and EEG
can help assess affective valence. SEMG measurements of the
zygomatic (smiling) and
corrugator (frowning) muscles are
correlated with positive and negative affect (Lang et al., 1993). Higher
left/right prefrontal cortex activation ratios are correlated with
positive affect, while reverse ratios are correlated with negative
affect (Sutton & Davidson, 1997). Sympathetic nervous system modalities
like electrodermal activity are associated with affective intensity
(Crider, 2004; Lang et al., 1993).
Negative affectivity is a
predisposition toward distress and dissatisfaction. Individuals who are
rated high on this trait negatively perceive themselves, others, and the
environment, and have a pessimistic perspective. They rate more events
as stressful and report more intense stress, and complain more
frequently about health problems and report more severe symptoms when
they are actually sick than those with lower negative affectivity (Cohen
et al., 1995; Gunthert et al., 1999). Negative affectivity may increase
vulnerability to stressors and health conditions like anxiety and
depressive disorders they exacerbate (Brannon & Feist, 2004).
A Framingham study report by Markovitz et al.
(1993) showed that men with elevated anxiety had twice the
risk of middle age hypertension as men with lower anxiety. This
increased risk was not found for women. A prospective study by
Kawachi et al. (1994) revealed that
men diagnosed with phobic anxiety had a three times greater risk of
sudden cardiac death. Albert et al. (2005)
found that women diagnosed with phobic anxiety had a 59% greater risk of
sudden cardiac death and 31% greater risk of fatal coronary heart
disease compared with women who scored low. These increased risks were
associated with risk factors such as diabetes, hypertension, and high
cholesterol.
Pratt et al. (1996) reported that
depressed individuals had a four times greater risk of heart attack in
the next 14 years than nondepressed individuals.
Frasure-Smith et al. (1995) found that depressed heart
attack patients had a four times greater risk of another heart attack in
the next 18 months than nondepressed heart attack patients.
Carney et al. (2005) discovered that
depressed heart attack patients were almost three times more likely to
die during a 30-month period than nondepressed heart patients. Decreased
heart rate variability accounted for a significant share of the
increased risk of death.
Jonas and Mussolino (2000) found in a
16-year longitudinal study that participants diagnosed with depression
had a 70% greater risk of stroke that was mediated by ethnicity. Stroke
risk was higher for depressed European American men than women and for
depressed African Americans than European Americans.
Everson et al. (1998) reported that
depressed individuals had a greater risk of death from stroke than
nondepressed participants.
Friedman and Rosenman (1974)
proposed the
Type A-B continuum of risk for
coronary artery disease. They described extreme
Type A’s as competitive, concerned with numbers and
acquisition, hostile, and time-pressured. In contrast, the
Type B's are less motivated and do not usually exhibit Type A
behaviors. Their study of 3,000 men over 8.5 years showed that Type A
behavior doubled the risk of heart attack. The
National Heart Lung and Blood Institute (1981) concluded that
Type A behavior is an independent risk for heart disease.
Despite
early hopes that the global Type A behavior pattern could independently
predict heart disease, current research has not consistently supported
this association (Brannon & Feist, 2004).
Williams (1989) reported that
cynical hostility, where individuals
mistrust humanity and those they interact with, threatens cardiovascular
health. Siegler, Peterson, Barefoot, and
Williams (1992) discovered that hostility is not an
independent risk factor for heart disease, but is rather associated with
alcohol consumption, obesity, and smoking, which affect the development
of heart disease. When researchers control these three factors, the
association between hostility and heart disease vanishes (Everson et
al., 1997).
The failure of cynical hostility to independently
predict heart disease has focused attention on a component of hostility
called
expressed anger (Brannon & Feist,
2004).
Hostility is a negative attitude
towards individuals—not an emotion—and may persist for a long time.
Taylor (2006) proposed that
cardiovascular reactivity and hostility in conflict situations might
promote heart disease through changes in blood vessels and catecholamine
levels, sympathetic nervous system release of lipids into circulating
blood, and blood platelet activation.
Anger is a negative emotion that involves physiological
arousal and persists for a brief period.
Siegman, Dembroski, and Ringel (1987)
proposed that the expression of anger—and not our experience of it—could
result in heart disease. Examples of expressed anger include raising
your voice during arguments and temper tantrums (Brannon & Feist, 2004).
Jain, Burg, and Soufer (1995) monitored patients using an
electronic stethoscope and observed declines in the heart's
ejection fraction (the ratio of blood pumped by the left
ventricle during a contraction compared to its total filling volume)
when they were angry.
Bhat and Bhat (1999) demonstrated that an intervention to
manage anger using biofeedback significantly increased their patients'
ejection fraction.
Expressed anger
may contribute to heart disease by increasing
cardiovascular reactivity (CVR), which is often revealed as
increased blood pressure and heart rate in response to social stressors
like provocation.
Dujovne and Houston (1991)
linked expressed hostility with increased total cholesterol and
low-density lipoprotein (LDL) in men and women.
Goldman (1996) reported that individuals classified with high
anger had a 2.5 times greater chance of re-clogging arteries after
angioplasty.
Siegman, Dembroski, and Crump (1992) reported that
training to slow speech rate and lower speech volume reduced CVR.
Researchers have shown that provocation can increase cardiovascular
reactivity.
Siegman, Anderson, Herbst,
Boyle, and Wilkinson (1992) observed increased heart rate and
blood pressure (diastolic and systolic) after provoking male
undergraduates. The subjects reported experiencing considerable anger
following their provocation.
Fredrickson et al. (2000)
asked adult men and women to reexperience earlier anger
experiences. Participants who were more hostile produced larger and
longer-duration blood pressure increases than less hostile individuals.
Also, African Americans showed greater CVR than European Americans.
Bishop and Robinson (2000)
studied Chinese and Indian men in Singapore, who performed a
difficult task either with or without harassment. The harassed
participants showed greater CVR than those who were not provoked.
Smith and Brown (1991) found that
women showed less CVR than men when provoked. While husbands increased
their heart rate and systolic blood pressure while trying to control
their wives, the wives did not experience these changes when trying to
control their husbands. The wives' systolic blood pressure only
increased when their husbands expressed cynical hostility.
Diamond (1982) hypothesized an
anger-in dimension, which is the
tendency to withhold the expression of anger, even when anger is
warranted. Dembroski and colleagues
(Dembroski et al., 1985; MacDougall et al., 1985) reported that anger
suppression can contribute to heart disease.
Siegman (1994) recommended that
patients develop awareness their anger, but express it using a quiet,
slow voice.
Cannon's fight-or-flight response focuses on
sympathetic nervous system responses to an acute stressor and describes the
sympathetic-adrenomedullary (SAM) pathway which releases the hormones
epinephrine and norepinephrine. Selye's General Adaptation Syndrome
describes our prolonged response to a chronic stressor across three stages,
describes the hypothalamic-pituitary-adrenal (HPA) axis which releases
the hormones CRH, ACTH, and cortisol, and explains how chronic stress can
produce disease and death.
Cannon (1932) described the
fight-or-flight response, in which an
individual confronts or flees a stressor. During an
acute stress response, which corresponds to the end of Selye's
alarm stage, we activate the
sympathetic nervous system (SNS),
increasing respiration, cardiac output, blood flow to skeletal
muscles, and metabolism, while decreasing digestion and the reproductive
system activity. The SNS, in turn, activates the hard-wired
sympathetic-adrenomedullary (SAM) pathway, resulting in the
release of the hormones epinephrine
and norepinephrine by the
adrenal medulla (inner adrenal
gland). The adrenal medulla releases epinephrine and norepinephrine
in about a 4:1 ratio (Fox, 2006).
The
adrenal medulla, is the red inner region of the adrenal glands, which are located at the top of each kidney. This image depicts the left adrenal gland from an anterior view.
Epinephrine and norepinephrine,
which are both catecholamines,
mobilize blood glucose and fatty acids to provide energy for skeletal
muscle contraction, increase blood flow to the muscles by increasing
cardiac output and blood pressure, dilate coronary blood vessels,
increase respiratory rate, increase metabolic rate, and heighten
alertness. Epinephrine levels are higher when we are fearful and
norepinephrine levels are higher when we are angry (Ward et al., 1983).
SAM activation is adaptive when its intensity and duration enable us to
cope with an external threat. Low SAM activation facilitates athletic and
cognitive performance, while intense SAM activation allows us to overcome
physical threats. However, intense SAM activation is maladaptive in
situations like panic attacks or anticipatory anxiety, where there is
neither an external threat nor active coping.
Intense SAM activation can threaten safety and produce medical
complaints. Anger can constrict coronary arteries and reduce cardiac
output in cardiac patients (Committee on Health and Behavior, 2001) and
is a risk factor for both heart attacks and sudden cardiac death
(Williams et al., 2000). Anxiety and acute grief, which can also produce
intense SAM activation, are risk factors for sudden cardiac death (Engel,
1971; Kawachi et al., 1994). SAM activation also underlies common
symptoms of chest pain, dizziness, and shortness of breath that can be
confused with coronary insufficiency (Crider, 2004).
Taylor and colleagues (2000) theorize
that a tend-and-befriend response is
an alternative reaction to stressors. They believe that
tending, nurturing behavior, and
befriending, seeking and providing
social support, may better characterize women. The tend-and-befriend
response may protect their safety and the lives of their offspring. This
response may be mediated by an interaction between the hormones oxytocin
and estrogen, and endogenous opioids.
The General Adaptation Syndrome
(GAS) was
Selye’s (1956) three-stage model of
chronic autonomic and endocrine system responses to stressors. Selye argued that
diverse stressors produce a three-stage response (alarm, resistance, and
exhaustion stages) in all subjects. In this model, a cold stressor is
interchangeable with a shock stressor because they both produce the same
autonomic and endocrine responses. Where Cannon showed that acute stress
can change the functions of our internal organs, Selye mainly
demonstrated using animal models that chronic stress can change their
structure (Crider, 2004).
Alarm is the first stage of Selye’s
General Adaptation Syndrome and consists of shock and countershock
phases. The shock phase includes
reduced body stress resistance and increased autonomic arousal and
hormone release (ACTH, cortisol, epinephrine, and norepinephrine) that
comprise the “fight-or-flight” response. In the
countershock phase, resistance increases due to local
defenses.
Resistance is the second stage of
Selye’s General Adaptation Syndrome. Local defenses have made the
generalized stress response unnecessary. Both cortisol output and stress
symptoms, like adrenal gland enlargement, decline. While the person
appears to be normal, adaptation to the stressor places mounting demands
on the body which can subsequently lead to
diseases of adaptation like hypertension as
adaptation energy is depleted. Local defenses will
break down if stressors persist.
Exhaustion is the third stage of
Selye’s General Adaptation Syndrome. Increased endocrine activity
depletes body resources and raises
cortisol levels resulting in suppressed immunity and stress syndrome
symptoms. Selye believed that the abnormally reduced level of
parasympathetic activity, which we require for homeostatic balance,
cripples immunity and can result in bronchial asthma, cardiovascular
disease, depression, hypertension, hyperthyroidism, peptic ulcer, and
ulcerative colitis. Eventually, the individual may die (Feist & Brannon,
2004).
While Selye made a landmark contribution to our understanding of the role
of chronic stress and glucocorticoid-mediated damage in disease, critics
have challenged his characterization of the stress response as
nonspecific and his conceptualization of stressors. Since most of Selye's research subjects were nonhuman animals,
this may
have caused him to largely overlook the role of human emotion and
cognitive appraisal in the chronic stress response.
Mason (1971) argued that the
nonspecificity (consistent physiological changes) of our
response to diverse stressors was due to the common emotional states they
elicit.
While Selye's model allowed any stimulus—regardless
of its valence or intensity—to function as a stressor, he failed
to explain why some stimuli trigger a stress response and others do not.
Once again, his focus on nonhuman animals may have caused him to exclude
cognitive factors like appraisal that make stimuli stressful.
The
hypothalamic-pituitary-adrenal (HPA) axis
releases the hormones CRH, ACTH (corticotropin), and cortisol. This
cascade starts with signals from the amygdala to the hypothalamus and
ultimately targets the adrenal glands, which are located at the top of each kidney.
The
adrenal cortex, which is the tan outer region of the adrenal gland, produces the hormone cortisol.
This pathway is regulated by
negative feedback as rising cortisol levels inhibit hormone secretion by
the hypothalamus and anterior pituitary.
In
response to stressful stimuli, the
central nucleus of the amygdala
activates the paraventricular nucleus (PVN) of
the hypothalamus, resulting in increased
CRH release to the
pituitary gland.
Chronic, elevated CRH levels in the bloodstream may enhance learning
classically-conditioned fear responses, heighten arousal and attention,
which increase readiness to respond to a stressor, increase the startle
response, and reduce appetite and body weight, sexual behavior, and
growth.
When CRH
binds to the pituitary gland, it releases
corticotropin (ACTH). ACTH triggers
cortisol release by the
adrenal cortex (outer part) and helps
resist infection.
Glucocorticoids like cortisol
help convert fat and protein to glucose and reduce inflammation. Chronic, elevated cortisol
levels in the bloodstream adversely affect many organs, including the
brain. Patients may experience
hyperglycemia (elevated blood sugar),
hyperinsulinemia (elevated insulin levels), increased gastric
acid secretion and ulcer, and impaired immune function.
Cortisol release can affect gene transcription, thus producing
long-term as well as immediate effects on the body, and setting the stage
for a number of physical and psychological disorders (panic, PTSD, and
somatization).
Cortisol binding to the
amygdala increases CRH, ACTH, and
cortisol release, amplifies the fear response, increases our ability to
store implicit memories about stressful stimuli, and increases the
amygdala’s ability to suppress the prefrontal cortex’s checks on
emotional behavior (emotional hijacking).
Cortisol binding to the
hippocampal formation disrupts the
medial temporal lobe memory system’s creation of explicit (conscious)
memories, disrupts the hippocampus’s check on the PVN of the
hypothalamus, and harms and kills cells in the hippocampus.
Two
pathways from the
raphe system terminate in the
hippocampus: an
anxiogenic, or anxiety-producing,
pathway and an
anxiolytic, or anxiety-reducing,
pathway. Elevated cortisol levels suppress the anxiolytic pathway and
facilitate the anxiogenic pathway, increasing anxiety in a chronically
stressed individual.
Cortisol binding to the
dorsolateral and ventromedial prefrontal cortex
disrupts executive functions like attention and decisions, increases fear
and anxiety, and harms and kills neurons.
Four brain structures most important to the stress response are the
amygdala, hypothalamus, hippocampus, and prefrontal cortex.
The
amygdala is part of the limbic
system and participates in evaluating whether stimuli are threatening,
establishing unconscious emotional memories, learning conditioned
emotional responses, and producing anxiety and fear responses.
The hypothalamus lies
beneath the thalamus in the forebrain and helps the body maintain a
dynamic homeostatic balance through its control of the autonomic nervous
system, endocrine system, survival behaviors (four F’s), and
interconnections with the immune system.
Much of the information about stressors is relayed to the
paraventricular nucleus, a nucleus in
the hypothalamus that organizes behavior, including eating, to respond
to changes in internal body states. The paraventricular nucleus receives
input from the limbic system and cerebral cortex (via the bed nucleus of
the stria terminalis), other parts of the hypothalamus, and brain
stem structures (nucleus of the solitary tract, tegmentum and
reticular formation, periaqueductal gray, locus coeruleus, and raphe
system).
When the paraventricular nucleus is excited, it releases a number of
chemical substances, including corticotropin releasing factor (CRH),
oxytocin, arginine-vasopressin, thyrotropin-releasing hormone, growth
hormone-releasing hormone, somatostatin, dopamine, enkephalin,
cholecystokinin, and angiotensin.
This large variety of hormones
allows the individual to respond to a wide range of stressors. Since
stressful events are often comprised of many stressors being presented
at once, these chemical substances allow the individual to respond
completely and appropriately to a stressful situation.
The
hippocampus is part of the medial temporal lobe memory system
and helps form declarative memories, allows us to navigate within our
environment, and prevents excessive release of corticotropin releasing
factor (CRH) by the hypothalamus.
The prefrontal cortex is responsible
for the brain’s executive functions, including planning, guiding
decisions using emotional intelligence, working memory, allocation of
attention, emotional experience, and inhibition of emotional behavior
triggered by the amygdala.
Below is a BioTrace+ / NeXus-10 screen that provides skin conductance biofeedback to help clients learn to relax. The petals of the water lily unfold as skin conductance declines.
The human
body utilizes both nonspecific and specific immune mechanisms to protect
itself against invading organisms, damaged cells, and cancer. The main
nonspecific mechanisms include
anatomical barriers (skin and mucous membranes),
phagocytosis (ingestion of microorganisms) by
lymphocytes
(macrophages and natural killer cells), release of antimicrobial agents
(hydrochloric acid, interferons, and lysozyme), and local inflammatory
responses that confine microbes and allow white blood cells to attack
them.
We develop specific immunity after
birth through exposure to microorganisms and vaccinations, and it
employs an antigen-antibody reaction
to protect us against specific microorganisms and their toxins.
Antigens are foreign proteins that
stimulate antibody production. Antibodies
are cellular proteins that combine with antigens to neutralize them.
Humoral and cell-mediated immunity are two types of specific immune
responses. In humoral immunity,
B lymphocytes rapidly produce
antibodies that counter bacteria into the blood, neutralize their
toxins, and prevent reinfection by viruses. Activated B cells
differentiate into plasma cells,
which secrete antibodies (immunoglobulins), and
memory B cells, which are transformed into
antigen-specific plasma cells when they reencounter the original
antigen. Humoral immunity is most effective in countering bacterial
infection and preventing new viral infections.
Cell-mediated immunity provides a
slower, cellular response that utilizes cytotoxic and helper T cells
from T lymphocytes provided by the thymus gland.
Cytotoxic T (TC)
cells release toxins to destroy specific virally-infected
cells. Helper T (TH)
cells release cytokines like interleukin-2 to aid the action
of TC
and B cells, and macrophages. TH cell cytokines can also suppress immune responses. Cell-mediated
immunity is most effective in controlling cancer, foreign tissue, fungal
and viral infections, and parasites (Brannon & Feist, 2004).
The classical model of the immune system is that it operates
independently of the nervous system and psychological processes.
However, researchers have demonstrated complex interactions among the
central nervous system, endocrine system, and immune system, consistent
with Green and Green's psychophysiological principle. Psychological
processes like expectancies (placebo effect) and learning (classical
conditioning) can affect all three systems and the immune system can
affect psychological functioning (drowsiness from a fever).
Psychoneuroimmunology is a
multidisciplinary field that studies the interactions between behavior
and these three systems.
After Solomon and
Moos (1964)
introduced the term psychoneuroimmunology in a journal article,
Ader and Cohen's (1975) demonstration of classical conditioning in a rat's immune system helped
establish this field's scientific legitimacy. Ader and Cohen trained
rats to associate a conditioned stimulus
(a saccharine and water solution)
with an unconditioned stimulus (the
immunosuppressive drug cyclophosphamide). This resulted in a
conditioned response (CR) of immune
suppression which resulted in rat fatalities. Following conditioning,
rats who only drank the sweetened water (CS) died due to
conditioned immunosuppression.
Successful replication of these findings helped overcome resistance to
the controversial view that the nervous system and immune system can
interact.
The mechanisms underlying these complex interactions may include
hypothalamic-pituitary-adrenal (HPA) axis hormones like ACTH, cortisol,
CRH, epinephrine, and norepinephrine, immune cell chemical messengers
called cytokines (interleukins),
hormones like androgens, estrogens, progesterone, and growth hormone,
and neuropeptides like
beta-endorphins.
There is persuasive evidence that stressful life events can reduce
immunity and that behavioral interventions can enhance or maintain it.
Bereavement can reduce lymphocyte (lymphatic white blood cell)
proliferation (Schleifer et al., 1983). Academic exams, marital
conflict, negative affect associated with stress, clinical and
subclinical depression, and negative daily mood can suppress immunity
(Herbert & Cohen, 1993; Kiecolt-Glaser et al., 2002; Stone et al.,
1994).
The stress of living near the Three Mile Island nuclear plant when it
experienced a major accident reduced residents' B cell, T cell, and
natural killer cell counts when compared with control subjects (McKinnon
et al., 1989).
A study of Alzheimer's caregivers showed lowered immunity and longer
wound healing times and worse psychological and physical health than
controls who were not caregivers (Kiecolt-Glaser, 1999) and that the
Alzheimer's patients' deaths did not improve caregiver immunity or
psychological functioning (Robinson-Whelen et al., 2001).
Finally, laboratory stressors produced greater discomfort and
immunosuppression in chronically-stressed young males than those who
were not chronically-stressed (Pike et al., 1994). Exposure to chronic
stress may have intensified their subjects' response to acute laboratory
stressors.
Behavioral interventions can increase immunocompetence.
Miller and Cohen's (2001)
meta-analytical study of behavioral interventions showed modest
increases in immunity. Hypnosis increased immune function more than
relaxation and stress management.
A stress management program that incorporated relaxation training
reduced symptoms and increased salivary antibodies and psychological
functioning in children diagnosed with frequent upper respiratory
infections (Hewson-Bower & Drummond, 2001).
College students who wrote journal entries about highly stressful
experiences increased lymphocyte proliferation and made fewer health
center visits (Pennebaker, Kiecolt-Glaser, & Glaser, 1988). Smyth et al. (1999) asked asthma and
rheumatoid arthritis patients to write journal entries about highly
stressful experiences or planned daily activities. At four-month
follow-up, 50% of the Pennebaker journal group who wrote about stressful
experiences and 25% of the control group achieved clinically significant
improvement in their immune-related disorders (Crider, 2004).
Dental and medical students who received hypnosis training maintained
immune function while a control group showed declines in immunity (Kiecolt-Glaser
et al., 2001). This suggests that behavioral interventions may be more
effective in maintaining normal immunity than boosting immunity (Brannon
& Feist, 2004).
Lazarus and Folkman's (1984) Transactional
Model of Stress has more strongly influenced psychologists
than Selye's General Adaptation Syndrome. While Selye's stimulus model
theorized that stress is determined by events, Lazarus's cognitive model
proposed that stress is determined by our perception of the situation.
In primary appraisal, we categorize
the consequences of events as positive, neutral, or negative and
determine whether an event is relevant and negative or potentially
negative. We evaluate these events for their possible harm, threat, or
challenge. Harm is damage that has
already occurred. For example, a person who experiences a heart attack
may perceive harm as damage to the heart muscle.
Threat means damage that could occur in the future. The
heart attack survivor may anticipate restricted physical activity and
reduced income. The perception of an event as a threat has physiological
consequences and can result in elevated blood pressure.
Challenge is the potential to cope
with the event and gain from this opportunity. The heart attack survivor
may reframe this health crisis as an opportunity to make a career
change. The perception of an event as a challenge can increase perceived
self-efficacy, positive emotion, and lower blood pressure (Maier et al.,
2003). The Chinese pictogram wei ji,
which represents danger and opportunity, illustrates the negative and
positive possibilities considered during primary appraisal.
During secondary appraisal, we
evaluate whether our coping abilities and resources can surmount an
event's harm, threat, or challenge. Lazarus and
Folkman (1984) listed health and energy, positive belief,
problem-solving skills, social skills, social support, and material
resources as important coping resources. Again, perception of our coping
abilities and resources is more important than their actual existence.
The balance between primary and secondary appraisal determines how we
subjectively experience the event. We experience the most stress when
perceived harm or threat are high and perceived coping abilities and
resources are low. Stress is reduced when we perceive that our coping
abilities and resources are high (Taylor, 2006).
Secondary appraisal can lead to our use of direct action, reappraisal,
and palliation.
Direct action can take different
forms depending on the nature of the threat. For violent threats to our
survival, we may use aggression and escape behaviors from Cannon's
fight-or-flight response. For medical or psychological threats, we may
use problem solving, where we define the problem, identify options, and
then test these options until we succeed. The cardiac patient may enroll
in a cardiac rehabilitation program to increase exercise tolerance and
reduce the risk of artery narrowing.
Reappraisal may reduce stress when
direct action is impractical or unsuccessful. Reappraisal modifies our
perception of a threat. When individuals are overwhelmed by traumatic
stress, they may initially use ineffective strategies like denial and
rationalization. As they cope with the crisis, they may progress with
more successful strategies like reframing
in which they place the stressful situation in perspective and focus on
available opportunities. The cardiac patient may decide that his heart
attack provided an opportunity to spend more time with his
grandchildren.
Palliation consists of efforts to
reduce our stress response rather than attack the stressor. Clinicians
may use biofeedback and adjunctive techniques like effortless breathing
to teach cardiac patients to control their anxiety. While this does not
correct the cause of the stress response, it is often superior to
medications like anxiolytics that risk side effects, tolerance, physical
dependence, and withdrawal effects. Successful clinical interventions
for chronic problems like anxiety, depression, and pain incorporate
effective palliation since complete remission may be unlikely (Crider,
2004).
Mastery overlaps with the
concepts of locus of control,
perceived control, and
self-efficacy. Mastery is the
relatively stable expectancy that we can control our personal outcomes.
Mastery affects our appraisal and coping with stressors. Individuals
with high levels of mastery expect to succeed when challenged by
stressors, cope more effectively, and report lower levels of depression
and stress than people with low levels of mastery (Gurung, 2006).
In Weiss’s (1977) replication of the
Brady “executive monkey” study, the "executive” rat could switch off the
tail shock by turning the wheel. Because it had control over the shock,
it was no more likely to develop ulcers than an unshocked control rat.
The "subordinate" rat received the same shocks as the "executive" rat.
Because the "subordinate" rat had no control over the shocks, it was
more likely to develop ulcers than the "executive" rat.
Hopelessness is a heart attack risk
factor. Compared with Finnish middle-aged men scoring low in
hopelessness, those scoring high were two to three times more vulnerable
to a heart attack over the ensuing six years, and three to four times
more likely to die (Everson et al., 1996).
Optimism is a generalized expectancy
of positive future outcomes. Optimists focus on a situation's positive
dimensions, minimizing daily hassles (Nelson et al., 1995).
Optimism aids health by encouraging more effective
problem-focused coping strategies instead of
avoidant coping strategies. This
results in better stress management and practice of health-promoting
behaviors like use of barrier protection during sex. Optimists show good
psychological health, effective natural killer (NK) cell response during
stress, and slower AIDS progression. In the context of the Transactional
Model of Stress, optimists diverge from pessimists in secondary
appraisal, actions, and personal adjustment (Gurung, 2006).
Pessimism is also a heart attack
risk factor. A Harvard School of Public Health team found pessimistic
adult men had a doubled risk of developing heart disease over a 10-year
period (Kubzansky et al., 2001).
Wickramasekera (1988) described
alexithymics, individuals who are low
in hypnotic ability and awareness of internal cues and feelings
associated with illness. Alexithymia is prevalent in patients with
multiple psychosomatic complaints, and may delay their seeking and
receiving medical attention.
Eliot's (1992)
hot reactors cannot be identified by
their overt behavior, but risk sudden death due to pathological acute
and chronic responses to stressors. Hot reactors show an acute increase
in catecholamine secretion, which increases the risk of cardiac
arrhythmia due to excessive myocardial fiber contraction and clot
formation. When they are challenged by long-term stressors and
experience fear, uncertainty, and loss of control, they also show a
chronic increase in glucocorticoid secretion, which raises total
cholesterol while lowering protective HDL-C.
Social support consists of
received support (support actually
provided) and perceived support
(expected support). Both forms of social support include informational,
material, and psychological assistance from others. The value of each
kind of social support depends on an individual's specific needs.
Social network and social contacts
both concern a person's number and kinds of interpersonal
relationships. Individuals with a high level of social support
participate in an extensive social network consisting of numerous social
contacts. Those with low social support have a limited social network
with few social contacts.
High levels of social support are associated with better health, faster
recuperation, less psychological distress, lower depression risk, and
lower mortality than low levels of social support (Gurung, 2006).
The Alameda County Study (Berkman &
Syme, 1979) documented a relationship between number of social contacts
and longevity. Adults with the fewest social contacts had 2-4 times the
risk of death than those with the most social contacts. Gender and age
moderated the effect of social contact. Males' highest relative risk of
death (3.2) was from age 50-59, where women's highest relative risk
(4.6) was from age 30-49 (Brannon & Feist, 2004).
Hawkley and colleagues (in press) reported that loneliness is an independent risk factor for hypertension that is comparable to obesity and sedentary lifestyle. They studied 229 participants aged 50 to 68 years and measured their perceived degree of loneliness, as well as previously established cardiovascular and psychosocial risk factors. Even after statistically controlling for the contribution of other negative emotional states (e.g., depression, hostility, or stress), lonely older participants had systolic blood pressures that were up to 30 mm Hg higher than their non-lonely counterparts. They discovered that loneliness and stress raised blood pressure via different mechanisms and that they produced an additive effect. Furthermore, the impact of loneliness on blood pressure increased with age.
Mildly depressed college women who participated in an aerobic exercise
program showed markedly reduced depression, compared with those who did
relaxation exercises or received no treatment (McCann & Holmes, 1984).
A study that compared exercise with drug treatment or a combination of
exercise and drug treatment found that exercise improved mood as well as
the other two conditions. When treatment was discontinued, participants
who continued to exercise were less likely to relapse than those who had
received drug treatment (Babyak et al., 2000).
The positive impact of exercise on mood may be mediated by reduced
cardiovascular reactivity (Perkins et al., 1986) , social involvement (Estabrooks
& Carron, 1999), and an increased self-efficacy (McAuley et al., 2003),
and self-esteem (Sonstroem, 1997).
In a national health survey financed by the U.S. Centers for Disease
Control and Prevention, religiously active people had longer life
expectancies (Hummer et al., 1999). McCullough
and colleagues (2000) performed a meta-analysis that assigned
greater weights to studies that controlled confounding variables like
age, gender, health, and social support. They found that religious
involvement was linked to a slightly lower rate of mortality and that
this was not due to social support.
Now that you have completed this module, identify your most critical
stressors and coping resources. How does your personality moderate the
effects of these stressors?
Albert, C. M., Chae, C. U., Rexrode, K. M., Manson, J. E., &
Kawachi, I. (2005). Phobic anxiety and risk of coronary heart disease and
sudden cardiac death.
Circulation, 111, 480-487.
American Psychiatric Association (APA). (2000). Diagnostic and
statistical manual of mental disorders (4th ed., text revision).
Washington, D. C.: Author.
Andreassi, J. L. (2000). Psychophysiology: Human behavior and
physiological response. Mahwah, NJ: Lawrence Erlbaum Associates,
Publishers.
Asterita, M. F. (1985). The physiology of stress. New York: Human
Sciences Press, Inc.
Babyak, M., Blumenthal, J. A., Herman, S., Khatri, P., Doraiswamy, M.,
Moore, K., et al. (2000). Exercise treatment for major depression:
Maintenance of therapeutic benefit at 10 months. Psychosomatic
Medicine, 62, 633-638.
Barrett, L. F., & Russell, J. A. (1998). Independence and bipolarity in
the structure of current affect. Journal of Personality and Social
Psychology, 74, 967-984.
Brannon, L., & Feist, J. (2004). Health psychology (5th ed.).
Belmont, CA: Wadsworth.
Brett, J. F., Brief, A. P., Burke, M. J., George, J.
M., & Webster, J. (1990). Negative affectivity and the reporting of
stressful life events. Health Psychology, 9, 57-68.
Cannon, W. (1932). The wisdom of the body. New York: Norton.
Carney, R. M., Blumenthal, J. A., Freedland, K. E., Stein, P. K.,
Howells, W. B., Berkman, L. F., Watkins, L. L., Czajkowski, S. M., Hayano,
J., Domitrovich, P. P., & Jaffe, A. S. (2005). Low heart rate variability
and the effect of depression on post-myocardial infarction mortality.
Archives of Internal Medicine, 165, 486-1491.
Cohen, S., Kamarck, T., & Mermelstein, R. (1983). A global measure of
perceived stress. Journal of Health and Social Behavior, 24,
385-396.
Cohen, S., Doyle, W. J., Skoner, D. P., Rabin, B. S., Gwaltney, J. M., &
Newson, J. T. (1995). State and trait negative affect as predictors of
objective and subjective symptoms of respiratory viral infections.
Current Directions in Psychological Science, 5, 86-90.
Committee on Health and Behavior (2001). Health and behavior: The
interplay of biological, behavioral, and societal influences.
Washington, DC: National Academy Press.
Crandall, C. S., Preisler, J. J., & Aussprung, J. (1992). Measuring life
event stress in the lives of college students: The Undergraduate Stress
Questionnaire (USQ). Journal of Behavioral Medicine, 15, 627-662.
Crider, A. (2004). Module 2: Stress and illness. In A. Crider & D. D.
Montgomery (Eds.). Introduction to biofeedback. Wheat Ridge, CO:
AAPB.
DeLongis, A., Folkman, S., & Lazarus, R. S. (1988). The impact of daily
stress on health and mood. Psychological and social resources as
mediators. Journal of Personality and Social Psychology, 54,
486-495.
Deykin, E. Y., Keane, T. M., Kaloupek, D., Findke, G., Rothendler, J.,
Siegfried, M., et al. (2001). Posttraumatic stress disorder and the use
of health services. Psychosomatic Medicine, 63, 835-841.
Dohrenwend, B. S., & Dohrenwend, B. P. (1984). Life stress and illness:
Formulation of the issues. In B. S. Dohrenwend & B. P. Dohrenwend (Eds.).
Stressful life events and their contexts (pp. 1-27). New
Brunswick, NJ: Rutgers University Press.
Eliot, R. S. (1992). Stress and the heart. Mechanisms, measurement, and
management. Postgrad Med, 92(5), 237-248.
Engel, G. L. (1971). Sudden and rapid death during psychological stress.
Annals of Internal Medicine, 74, 771-782.
Engel, G. L. (1977). The need for a new medical model: A challenge for
biomedicine. Science, 196, 129-136.
Engel, G. L. (1980). The clinical application of the biopsychosocial
model. American Journal of Psychiatry, 137, 535-544.
Estabrooks, P. A., & Carron, A. V. (1999). Group cohesion in older adult
exercisers: Prediction and intervention effects. Journal of Behavioral
Medicine, 22, 575-588.
Everson, S. A., Roberts, R. E., Goldberg, D. E., & Kaplan, G. A. (1998).
Depressive symptoms and increased risk of stroke mortality over a 29-year
period. Archives of Internal Medicine, 158, 1133-1138.
Fagan, J., Galea, S., Ahern, J., Bonner, S., & Vlahov, D. (2003).
Relationship of self-reported asthma severity and urgent health care
utilization to psychological sequelae of the September 11, 2001,
terrorist attacks on the World Trade Center among New York City area
residents. Psychosomatic Medicine, 65, 993-996.
Fernandez, E., & Sheffield, J. (1996). Relative contributions of life
events versus daily hassles to the frequency and intensity of headaches.
Headache, 36, 595-602.
Frasure-Smith, N., Lesperance, F., & Talajic, M. (1995). Depression and
18-month prognosis after myocardial infarction. Circulation,
91(4): 999-1005.
Gump, B. B., & Matthews, K. A. (2000). Are vacations good for your
health? The 9-year mortality experience after the multiple risk factor
intervention trial. Psychosomatic Medicine, 62, 608-612.
Gunthert, K. C., Cohen, L. H., & Armeli, S. (1999). The role of
neuroticism in daily stress and coping. Journal of Personality and
Social Psychology, 77, 1087-1100.
Harrell, E. H., Kelly, K., & Stutts, W. A. (1996). Situational
determinants of correlations between serum cortisol and self-reported
stress measures. Psychology: A Journal of Human Behavior, 33,
22-25.
Holmes, T. H., & Rahe, R. H. (1967). The Social Readjustment Rating
Scale. Journal of Psychosomatic Research, 11, 213-218.
Hawkley, L. C., Masi, C. M., Berry, J. D., & Cacioppo, J. T. (in press). Loneliness is a unique predictor of age-related differences in systolic blood pressure. Psychology and Aging.
Johnson, J. H. (1986). Life events as stressors in childhood and
adolescence. Newbury Park, CA: Sage.
Johnston-Brooks, C. H., Lewis, M. A., Evans, G. W., Whalen, C. K. (1998).
Chronic stress and illness in children. Psychosomatic Medicine, 60,
597-603.
Jonas, B. S., & Mussolino, M. E. (2000). Symptoms of depression as a
prospective risk factor for stroke. Psychosomatic Medicine, 62,
463-471.
Kanner, A. D., Coyne, J. C., Schaefer, C., & Lazarus, R. S. (1981).
Comparison of two modes of stress measurement: Daily hassles and uplifts
versus major life events. Journal of Behavioral Medicine, 4, 1-39.
Kawachi, I., Colditz, G. A., Ascherio, A., Rimm, E. B., Giovannucci, E.,
Stampfer, M. J., et al. (1994). Prospective study of phobic anxiety and
risk of coronary heart disease in men. Circulation, 89, 1992-1997.
Kawamura, N., Kim, Y., & Asukai, N. (2001). Suppression of cellular
immunity in men with a past history of posttraumatic stress disorder.
American Journal of Psychiatry, 158, 484-486.
Lacey, K., Zaharia, M. D., Griffiths, J., Ravindran, A. V., Merali, Z., &
Anisman, H. (2000). A prospective study of neuroendocrine and immune
alterations associated with the stress of an oral academic examination
among graduate students. Psychoneuroendocrinology, 25, 339-356.
Lamprecht, F., & Sack, M. (2002). Posttraumatic stress disorder
revisited. Psychosomatic Medicine, 64, 222-237.
Lang, P. J., Greenwald, M. K., Bradley, M., & Hamm, A. O. (1993). Looking
at pictures: Affective, facial, visceral, and behavioral reactions.
Psychophysiology, 30, 261-273.
Lazarus, R. S. (1984). Puzzles in the study of daily hassles. Journal
of Behavioral Medicine, 7, 375-389.
Lazarus, R. S., & Folkman, S. (1984). Stress, appraisal, and coping.
New York: Springer.
MacDougall, J. M., Dembroski, T. M., Dimsdale, J. E., & Hackett, T. P.
(1985). Components of Type A, hostility, and anger-in: Further
relationships to angiographic findings. Health Psychology, 4,
137-142.
McAuley, E., Jerome, G. J., Marquez, D. X., Elavsky, S., & Blissmer, B.
(2003). Exercise self-efficacy in older adults: Social, affective, and
behavioral influences. Annals of Behavioral Medicine, 25, 1-7.
McCullough, M. E., Hoyt, W. T., Larson, D. S., Koenig, H. G., & Thoresen,
C. (2000). Religious involvement and mortality: A meta-analytic review.
Health Psychology, 19, 211-222.
McEwen, B. S. (2000). Allostasis and allostatic load: Implications for
neuropsychopharmacology. Neuropsychopharmacology, 22,108-124.
McEwen, B. S. & Seeman, T. (1999). Protective and damaging effects of
mediators of stress: Elaborating and testing the concepts of allostasis
and allostatic load. In Adler, N. E., Marmot, M., McEwen, B. S. & Stewart,
J. (Eds.). Socioeconomic Status and Health in Industrial Nations:
Social, Psychological and Biological Pathways. Ann NY Acad Sci, 896.
McEwen, B. S. & Seeman, T. (2003). Stress and affect: Applicability of
the concepts of allostasis and allostatic load. In R. J. Davidson, K. R.
Scherer, & H. H. Goldsmith (Eds.) Handbook of affective sciences.
New York: Oxford University Press.
McEwen, B. S., & Stellar, E. (1993). Stress and the individual:
Mechanisms leading to disease. Archives of Internal Medicine, 153,
2093-2101.
McGonagle, K. A., & Kessler, R. C. (1990). Chronic stress, acute stress,
and depressive symptoms. American Journal of Community Psychology, 18,
681-706.
Maes, M., Hendricks, D., Van Gastel, A., Demedts, P., Wauters, A., Neels,
H., et al. (1997). Effects of psychological stress on serum
immunoglobulin, complement and acute phase protein concentrations in
normal volunteers. Psychoneuroendocrinology, 22, 397-410.
Maier, K. J., Waldstein, S. R., & Synowski, S. J. (2003). Relation of
cognitive appraisal to cardiovascular reactivity, affect, and task
engagement. Annals of Behavioral Medicine, 26, 32-41.
Markowitz, J. H., Matthews, K. A., Kannel, W. B., Cobb, J. L., &
D'Agostino, R. B. (1993). Psychological predictors of hypertension in the
Framingham study: Is there tension in hypertension? Journal of the
American Medical Association, 270, 2439-2443.
Marsland, A. L., Bachen, E. A., Cohen, S., & Manuck, S. B. (2001).
Stress, immunity, and susceptibility to infectious disease. In A. Baum,
T. A. Revenson, & J. E. Singer (Eds.). Handbook of health psychology
(pp. 683-695). Mahwah, NJ: Erlbaum.
Mason, J. W. (1971). A reevaluation of the concept of "nonspecificity" in
stress theory. Journal of Psychiatric Research, 8, 323-333.
Perkins, K. A., Dubbert, P. M., Martin, J. E., Faulstich, M. E., &
Harris, J. K. (1986). Cardiovascular reactivity to psychological stress
in aerobically trained versus untrained mild hypertensives and
normotensives. Health Psychology, 5, 407-421.
Pratt, L. A., Ford, D. E., Crum, R. M., et al. (1996). Depression, psychotropic medication, and risk of myocardial infarction. Prospective data from the Baltimore ECA follow-up. Circulation, 94(12): 3123-3129.
Rahe, R. H., & Arthur, R. J. (1978). Life change and illness studies:
Past history and future directions. Journal of Human Stress, 4,
3-15.
Ray, C., Jefferies, S., & Weir, W. R. (1995). Life-events and the course
of chronic fatigue syndrome. British Journal of Medical Psychology, 68,
323-331.
Ross, C. E., & Mirowsky, J. (1979). A comparison of life-event-weighting
schemes: Change, undesirability, and effect-proportional indices.
Journal of Health and Social Behavior, 20, 166-177.
Schneider, J. (1984). Stress, loss, and grief: Understanding their
origins and growth potential. Baltimore: University Park Press.
Schwartz, G. E. (1982). Testing the biopsychosocial model: The ultimate
challenge facing behavioral medicine? Journal of Consulting and
Clinical Psychology, 50, 1040-1053.
Searle, A., & Bennett, P. (2001). Psychological factors and inflammatory
bowel disease: A review of a decade of literature. Psychology and
Health Medicine, 6, 121-135.
Seeman, T. E., Singer, B. H., Rowe, J. W., Horwitz, R. I., & McEwen, B.
S. (1997). Price of adaptation—allostatic load and its health
consequences. Archives of Internal Medicine, 157, 2259-2268.
Selye, H. (1956). The stress of life. New York: McGraw-Hill.
Selye, H. (1974). Stress without distress. Philadelphia:
Lippincott.
Selye, H. (1976). Stress in health and disease. Woburn, MA:
Butterworth.
Serido, J., Almeida, D. M., & Wethington, E. (2004). Chronic stress and
daily hassles: Unique and interactive relationships with psychological
distress. Journal of Health and Social Behavior, 45, 17-33.
Silva, R. P., Alpert, M., Munoz, D. M., Singh, S., Matzner, F., & Dummit,
S. (2000). Stress and vulnerability to posttraumatic stress disorder in
children and adolescents. Journal of Psychiatry, 157, 1229-1235.
Sonstroem, R. J. (1997). Physical activity and self-esteem. In W. P.
Morgan (Ed.), Physical activity and mental health (pp. 127-143).
Washington, DC: Taylor & Francis.
Stein, M. B., Walker, J. R., & Forde, D. R. (2000). Gender differences in
susceptibility to posttraumatic stress disorder. Behavior Research and
Therapy, 38, 619-628.
Sutton, S. K., & Davidson, R. J. (1997). Prefrontal brain asymmetry: A
biological substrate of the behavioral approach and inhibition systems.
Psychological Science, 8, 204-210.
Taylor, S. E. (2006). Health psychology (6th ed.). Boston:
McGraw-Hill.
Taylor, S. E., Klein, L. C., Lewis, B. P., Gruenewald, T. L., Gurung, R.
A. R., & Updegraff, J. A. (2000). Biobehavioral responses to stress in
females: Tend-and-befriend, not fight-or-flight. Psychological Review,
107, 411-429.
Turner, R. J., & Avison, W. R. (1992). Innovations in the measurement of
life stress: Crisis theory and the significance of event resolution.
Journal of Health and Social Behavior, 33, 36-50.
Williams, J. E., Paton, C. C., Siegler, J. C., et al. (2000). Anger
proneness predicts coronary heart disease risk: Prospective analysis from
the Atherosclerosis Risk in Communities (ARIC) Study. Circulation, 101,
2034-2039.