Abstract
Background
Elevated cortisol levels due to hypothalamic-pituitary-adrenal axis stress response have been associated with cognitive impairment. The causal relationship between stress and subsequent cognitive impairment remains, however, unclear notably due to small number of gender stratified prospective studies.
Methods
Salivary cortisol secretion was evaluated in 197 non-depressed community-dwelling elderly at three time points on the day of hospital attendance for a clinical examination and again on the following day at home, in distinct environment context. Cognitive performance was evaluated at baseline and 2- and 4-year follow-up.
Results
Cross-sectional logistic analyses adjusted for age and education indicated that men with high morning cortisol at the hospital had higher risk of low cognitive performance in verbal fluency (OR=3.0, p=0.05) and visuo-spatial performance (OR=5.1, p=0.03). Impairment in verbal fluency was observed in women with moderate high morning cortisol (OR=3.6, p=0.05) or moderate slow diurnal rhythm (OR=3.7, p=0.04). In longitudinal analyses, slow diurnal rhythm (flatter slope) was associated with decline over 4 years in visuo-spatial performance (OR=7.7, p=0.03) and visual memory (OR=4.1, p=0.03) in men, and in verbal fluency (OR=6.0, p=0.01) in women. High morning cortisol was associated with decline in visual memory in women (OR=5.1, p=0.06).
Conclusions
Hypothalamic-pituitary-adrenal axis dysregulation appears associated with low cognitive performance in the elderly. Slower cortisol elimination rates could predict cognitive decline affecting principally non-verbal functioning in men and verbal functioning in women. The effects appeared independent of environmental context, apolipoprotein E genotype or psychopathology. Interventions blocking this pathway may provide new therapeutic options to prevent cognitive decline.
Keywords: Cognition, cortisol, elderly, HPA axis, stress
Introduction
Rates and causes of cognitive decline in the elderly are highly variable, stimulating interest in the identification of new predictors, notably those that may indicate intervention strategies. It has been suggested that the aging brain may be more vulnerable to the effects of stress, and that this may in turn influence cognitive functioning. A growing body of evidence has shown that over-activation of the hypothalamic-pituitary-adrenal axis (HPA), a major component of the stress response system, may lead to hippocampal impairment and hence decrements in cognitive performance (Lupien et al., 2007, Wolf, 2003). Several cross-sectional studies in elderly subjects have demonstrated a link between elevated glucocorticoid levels and declarative memory (Lupien et al., 1994, Lupien et al., 1997, O’Hara et al., 2007, Wright et al., 2005) as well as non-declarative memory and executive functioning not dependent on hippocampal integrity (Lee et al., 2007, Li et al., 2006, MacLullich et al., 2005). The causal relationship between stress and possible hippocampal damage remains, however, unclear due to the small number of prospective studies. Karlamangla et al. found an association with decline in global cognitive function but did not examine specific cognitive domains (Karlamangla et al., 2005). Two other large studies have suggested that cortisol levels may predict verbal recall in women after 2-year follow-up (Greendale et al., 2000, Seeman et al., 1997). A further study reported an association between higher cortisol levels and poorer declarative verbal memory in elderly men and women, but no significant associations were observed between changes in cortisol levels and changes in test scores after 1.5-year follow-up (Carlson & Sherwin, 1999). A small longitudinal study with 3-year follow-up, not stratified by gender reported a significant relationship with delayed recall and executive functioning (Li et al., 2006). Some of these inconsistent results appear largely attributable to methodological inadequacies, notably small sample-size, inadequate cognitive assessment (principally limited to verbal memory), failure to take into account other possible causes of cognitive decline, and environmental differences (laboratory-induced stress provokes acute cortisol elevation as opposed to the accumulation of repeated and prolonged stress during the natural life course). Some studies have also failed to consider gender differences although these have been reported in relation to both stress response and association between cortisol levels and cognitive decline or neural activity (Otte et al., 2005, Sauro et al., 2003, Seeman et al., 1997, Wang et al., 2007). Sex specific associations between some polymorphisms of glucocorticoid receptor gene and HPA axis response to stress as well as glucocorticoid sensitivity have also been recently reported (Kumsta et al., 2007). Finally, although an interactive effect with Apolipoprotein E (ApoE) ε4 allele has been reported (Lee et al., 2008), this has not been included in prospective models.
The present study examines the cross-sectional and longitudinal relationship between cortisol parameters and cognitive functioning in a population-based cohort. This study takes into account gender differences as well as the impact of a naturally occurring acute stress due to environmental context and psychosocial challenge, by evaluating cortisol during a day of clinical examinations at the hospital. Cortisol readings are also taken on a quiet day at home considered reflecting a measure of accumulated lifetime stressors in the absence of acute stress. This study controlled for socio-demographic factors such as age and education level, and other clinical factors such as psychopathology, and genetic vulnerability, which may independently contribute to cognitive decline.
Method
Participants
The subjects (between 65 and 90 years) were selected by random sampling from the electoral roles of the Montpellier district as part of the ESPRIT study of late-life neuro-psychiatric disorders (Ritchie et al., 2004). They were recruited between 1999 and 2002 and followed up twice at two-year intervals. The study protocol was approved by the Ethical Committee of the University-Hospital of Bicêtre (France) and written informed consent was obtained from each participant.
Participants were asked to attend a half-day examination by a neurologist and a center interviewer (nurse or psychologist) at the Gui de Chauliac Neurology Hospital (Montpellier, France). Subject examinations included a standardized neuropsychiatric examination based on ICD-10 criteria (World Health Organisation, 1992), cognitive examination, and a general health interview including demographic characteristics and covering present state of health, medical history, and blood sampling. The analyses were conducted on a sample of 201 subjects for whom complete salivary cortisol samples had been collected under stressful and quiet conditions and who had a typical eucortisolaemic pattern, excluding the subjects with an atypical cortisol baseline pattern (i.e. with flat pattern or abnormal time peak) as described previously (Chaudieu et al., 2008). They were also free of dementia and not being treated with medication likely to modify cortisol levels (glucocorticoids, hormonal replacement therapy, and benzodiazepines). From this sample, four subjects with major depression or taking antidepressant were further excluded leaving 197 subjects in the present study. Compared to the ESPRIT subjects not included in the present analysis (n=2070), the subjects included in the cortisol sample were less frequently women (p<0.0001) and had lower depressive symptomatology (p<0.0001) and higher BMI (p=0.02) (data not shown). We also observed better performance in the cortisol sample on the Isaacs test for men (47 [41–57] vs. 45 [39–53], p=0.02) as well as at the Benton for men (12 [11–14] vs. 12 [11–13], p=0.008) and women (12 [11–13] vs. 12 [10–13], p=0.05).
Diagnosis of dementia and psychiatric symptomatology
A standardized clinical protocol based on DSM-IV criteria (American Psychiatric Association, 1994) administered by a neurologist was used to diagnose prevalent cases of dementia. A standardized validated psychiatric examination, the Mini International Neuropsychiatric Interview MINI (French version 5.00 (Lecrubier et al., 1997)), was used to detect anxiety disorders and major depression (American Psychiatric Association, 1994). Depressive symptomatology was assessed using the Center for Epidemiologic Studies-Depression (CES-D) (Radloff, 1977).
Cognitive measures
Three measures of cognitive functioning were undertaken; verbal and non-verbal recall and frontal executive functioning. Isaacs Set Test (Isaacs & Kennie, 1973) provided a measure of verbal fluency or semantic access, which is sensitive to changes in both frontal and temporal areas. Participants were asked to generate as many words as possible within a given semantic category (animals, colors, fruits, cities) and their total score was the sum of the number of words generated in each category within 30 seconds. Benton’s Visual Retention Test (Benton, 1965) assessed visual memory. The Trail Making Test B (TMTB) (Reitan, 1965) was used as a measure of frontal executive functioning, however having been introduced after recruitment, baseline scores were not available for some subjects. The Mini Mental State Examination (MMSE) was used as a global measure of cognitive function (Folstein et al., 1975). Cognitive evaluation was performed at the hospital in the morning following the first cortisol sampling as part of a general medical examination. All of the cognitive tests were administered at the hospital at baseline, and during the first and the second follow-up, except for TMTB, which was only given at baseline and follow-up 2. The National Adult Reading Test (NART) (Blair & Spreen, 1989) was used as a marker of IQ.
Collection of salivary cortisol
HPA activity was evaluated by salivary cortisol which is considered to be a reliable measure (Hellhammer et al., 1987), and highly correlated with free cortisol levels in plasma (the only fraction of this hormone which is biologically active) (Kirschbaum & Hellhammer, 1994). The two measures are equally sensitive to stress reactivity, however, salivary measures were preferred for this elderly sample as they eliminate the stress associated with blood sampling, and are less complicated for the elderly than urinary cortisol assays, which require 24h urine collection. They also provide a dynamic evaluation over the day.
Saliva was collected with a cotton dental roll retained in the mouth for 1mn, then stored at −20°C before analysis. Subjects were instructed not to drink, eat or smoke for at least 30mn before saliva collection. As cortisol levels increase shortly after awakening (Van Cauter et al., 1996) subjects were asked to start the protocol at least 1h after awakening (mean time 1h30 ± 50mn). Subjects started this protocol at the hospital before cognitive testing, and subsequently twice more with a 7h interval recording the exact time (the last sampling being collected before midnight to eliminate early cortisol increase occurring during the nocturnal phase). Three samples were also taken at the same times on a following day at home (considered as a quiet day), in order to evaluate the effect of environmental context. As in other naturalistic studies, subjects were allowed to collect samples at a time when it would not interfere with activities rather than at a fixed time of the day. Mean ± SD values for sampling were 8h40 ± 20mn, 15h40 ± 40mn and 21h40 ± 35mn.
Laboratory methods
Cortisol levels were determined from saliva collection by direct radioimmunoassay (Diagnostic Systems Laboratories-Webster, Texas). Venous blood samples were taken from subjects at their arrival at the hospital before cognitive testing. ApoE genotyping was performed as described previously (Dufouil et al., 2005).
Statistical analysis
Since the distribution of raw cortisol is typically skewed and the diurnal profile may be approximated by an exponential curve, raw values were log-transformed. The slope of the regression of the three-cortisol values on the sampling times corresponds to the diurnal rhythm of cortisol secretion. Given the non-fixed time sampling protocol and the need for comparisons for a given time, morning cortisol concentrations were standardized in extrapolating values from the equation of the regression line for each subject (Chaudieu et al., 2008). Since linearity was not found for most cortisol parameters, variables were categorized according to tertiles, the reference group being the tertile corresponding to subjects with lower cortisol or those with a steeper cortisol regression slope. Group comparisons at baseline were carried out using Student’s t-test and analysis of variance for categorical explanatory variables. Logistic regression analyses adjusted for age and educational level and stratified by gender were used to determine if cortisol parameters were associated with odds of low cognitive performance or cognitive decline. Hence, ORs corresponded to the risk of being in the lowest cognitive performance group (for cross-sectional analysis) or the group with the greatest cognitive decline (for longitudinal analysis) associated with having moderately high, or high morning cortisol level (LnC8h) or moderately flat, or flat cortisol slope. Low cognitive performance was defined as being in the lowest tertile of the baseline cognitive score for the Isaacs (ranging between 24 and 42), Benton (1–11), and MMSE tests (20–27), and in the highest tertile for TMTB (79–251). Cognitive decline was defined as being in the highest tertile of the difference between either follow-up visit after 2- or 4- years) except for TMTB for which the lowest tertile of the difference was considered. Compared to baseline, this corresponded to a decrease between 0 and 69 points on the Isaacs, between 1 and 13 points on the Benton, and between 0 and 6 points on the MMSE and an increase of time between 3 and 107 seconds for TMTB. p values <0.05 were considered to be statistically significant. Data were analyzed using SAS version 9.1 (Cary, NC).
Results
Participant characteristics and salivary cortisol
Women had lower education, higher rate of lifetime anxiety disorders, higher CesD score, lower performance on TMTB, and flatter slope of cortisol secretion (Table 1). Compared to subjects who were lost to follow-up (n=35), the 162 subjects with follow-up cognitive assessment were younger (p=0.04) and reported less lifetime psychiatric disorders (p=0.04) and had slightly higher performance on the Benton task (p=0.03) (data not shown).
Table 1.
Men (n = 111) | Women (n = 86) | p1 | |
---|---|---|---|
Mean age (SD) | 72.9 (4.4) | 72.8 (4.7) | 0.97 |
Low education level2 (%) | 43.9 | 63.2 | 0.007 |
Body Mass Index in kg/m2 (mean (SD)) | 25.8 (3.4) | 25.3 (3.7) | 0.30 |
NART (median (IQR)) | 22 (17–27) | 23 (16–26) | 0.44 |
Current smoking (%) | 8.2 | 3.5 | 0.17 |
CES-D score (mean (SD)) | 8.4 (6.0) | 12.0 (7.5) | 0.0004 |
Lifetime anxiety disorders (%) | 18.9 | 38.1 | 0.003 |
Cortisol parameters3: | |||
Morning cortisol (median (IQR)) | 260 (190–360) | 270 (180–470) | 0.39 |
Diurnal slope of secretion (mean (SD)) | −0.17 (0.06) | −0.15 (0.07) | 0.04 |
Cognitive Scores at Baseline: | |||
Isaacs Test (median (IQR)) | 47 (39–55) | 48 (43–53) | 0.57 |
Trail Making Test B (median (IQR)) | 83 (66–116) | 100.5 (80.5–122.5) | 0.02 |
Benton Test (median (IQR)) | 12 (11–13) | 12 (11–13) | 0.75 |
MMSE (median (IQR)) | 28 (27–29) | 27 (26–29) | 0.09 |
Two-tailed chi-squared tests were used to compare categorical characteristics, t-tests for quantitative variables with normal distribution, and Mann-Whitney-Wilcoxon test for cognitive scores and cortisol concentrations.
corresponding to 9 years of schooling or less.
corresponding to the cortisol concentrations expressed as ng/dl and measured in the hospital environment.
Cortisol secretion and cognitive performance at baseline
We first investigated whether cortisol parameters in the hospital environment were associated with low performance on at least one baseline cognitive score. In men, higher morning cortisol level was associated with greater risk of low cognitive performance on the Isaacs test, after adjustment for age and education level (OR=3.0, p=0.05) and on TMTB (OR=5.1, p=0.03) (Table 2). In women, poor performance on the Isaacs test was associated with moderately high morning cortisol levels (OR=3.6, p=0.05 for intermediate cortisol group) as well as a moderately flat cortisol slope (OR=3.7, p=0.04) (Table 3). In men or women, no significant associations were found for the Benton test and the MMSE.
Table 2.
Cortisol | Cross-sectional (n=111a) |
Longitudinal (n=96a) |
|||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
LnC8hb | Slopeb | LnC8hb | Slopeb | ||||||||||
ORc | 95%CI | p | ORc | 95%CI | p | ORc | 95%CI | p | ORc | 95%CI | p | ||
Isaacs | L/s | 1 | 1 | 1 | 1 | ||||||||
M/m | 1.8 | 0.6–5.7 | 0.33 | 0.6 | 0.2–1.6 | 0.27 | 0.6 | 0.2–1.8 | 0.38 | 1.0 | 0.3–3.0 | 0.99 | |
H/f | 3.0 | 1.0–9.1 | 0.05 | 0.4 | 0.1–1.1 | 0.07 | 0.5 | 0.2–1.5 | 0.23 | 1.9 | 0.7–5.3 | 0.23 | |
TMTB | L/s | 1 | 1 | 1 | 1 | ||||||||
M/m | 0.5 | 0.07–3.5 | 0.48 | 0.5 | 0.1–1.8 | 0.29 | 2.0 | 0.3–12.1 | 0.44 | 1.4 | 0.25–7.1 | 0.72 | |
H/f | 5.1 | 1.1–23.0 | 0.03 | 0.3 | 0.06–1.3 | 0.10 | 0.2 | 0.03–1.3 | 0.09 | 7.7 | 1.3–46.8 | 0.03 | |
Benton | L/s | 1 | 1 | 1 | 1 | ||||||||
M/m | 0.5 | 0.2–1.7 | 0.29 | 0.6 | 0.2–1.8 | 0.40 | 0.4 | 0.1–1.6 | 0.21 | 1.7 | 0.5–6.6 | 0.42 | |
H/f | 1.0 | 0.4–2.9 | 0.96 | 0.5 | 0.1–1.4 | 0.16 | 0.5 | 0.2–1.7 | 0.29 | 4.1 | 1.2–14.2 | 0.03 | |
MMSE | L/s | 1 | 1 | 1 | 1 | ||||||||
M/m | 1.2 | 0.4–4.1 | 0.74 | 1.1 | 0.3–3.3 | 0.88 | 1.0 | 0.2–4.4 | 0.97 | 0.5 | 0.1–2.1 | 0.37 | |
H/f | 1.5 | 0.5–4.9 | 0.46 | 0.8 | 0.3–2.6 | 0.75 | 1.6 | 0.4–6.3 | 0.50 | 0.6 | 0.2–2.3 | 0.45 |
For TMTB, 69 men were included in cross-sectional analyses, of whom 48 had longitudinal assessment.
corresponds to the Ln of morning cortisol concentration expressed as ng/dl and slope measured in the hospital environment. For cortisol parameters, the tertile ranges were ≤ 5.3 (L), ]5.3–5.8] (M), and > 5.8 (H) for LnC8h; and ≤ −0,19 (s), ]−0.19 – −0.14] (m), and > −0.14 (f) for slope.
OR (adjusted for age and education level) corresponded to the risk of being in the lowest cognitive performance group (cross-sectional analysis) or the group with the greatest cognitive decline (longitudinal analysis) associated with having moderately high, or high morning cortisol level (LnC8h) or moderately flat, or flat cortisol slope. The reference (OR=1) was the tertile corresponding to the lowest LnC8h (L) or the steepest slope (s).
Table 3.
Cortisol | Cross-sectional (n=86a) |
Longitudinal (n=66a) |
|||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
LnC8hb |
Slopeb |
LnC8hb |
Slopeb |
||||||||||
ORc | 95%CI | p | ORc | 95%CI | p | ORc | 95%CI | p | ORc | 95%CI | p | ||
Isaacs | L/s | 1 | 1 | 1 | 1 | ||||||||
M/m | 3.6 | 1.0–13.3 | 0.05 | 3.7 | 1.1–13.3 | 0.04 | 0.4 | 0.1–1.4 | 0.15 | 6.0 | 1.4–24.8 | 0.01 | |
H/f | 2.7 | 0.7–10.4 | 0.15 | 1.6 | 0.4–5.8 | 0.50 | 0.5 | 0.1–1.7 | 0.25 | 3.8 | 0.9–15 | 0.06 | |
TMTB | L/s | 1 | 1 | 1 | 1 | ||||||||
M/m | 1.0 | 0.2–4.3 | 0.97 | 0.7 | 0.2–2.9 | 0.65 | 0.7 | 0.1–4.0 | 0.65 | 1.6 | 0.2–9.9 | 0.62 | |
H/f | 0.7 | 0.1–2.8 | 0.57 | 1.2 | 0.3–4.7 | 0.78 | 0.1 | 0.007–0.8 | 0.03 | 4.1 | 0.7–22.7 | 0.11 | |
Benton | L/s | 1 | 1 | 1 | 1 | ||||||||
M/m | 0.7 | 0.2–2.7 | 0.61 | 1.2 | 0.3–5.2 | 0.77 | 1.7 | 0.3–11.1 | 0.56 | 0.8 | 0.2–3.2 | 0.70 | |
H/f | 0.5 | 0.1–2.1 | 0.33 | 1.3 | 0.3–5.5 | 0.72 | 5.1 | 0.9–29.0 | 0.06 | 0.3 | 0.05–1.6 | 0.16 | |
MMSE | L/s | 1 | 1 | 1 | 1 | ||||||||
M/m | 0.8 | 0.3–2.6 | 0.75 | 0.8 | 0.2–2.7 | 0.68 | 0.9 | 0.2–4.0 | 0.94 | 3.2 | 0.8–12.6 | 0.09 | |
H/f | 0.6 | 0.2–2.1 | 0.43 | 2.0 | 0.6–6.3 | 0.25 | 1.1 | 0.2–43 | 0.95 | 0.4 | 0.1–2.5 | 0.34 |
For TMTB, 61 women were included in cross-sectional analyses, of whom 41 had longitudinal assessment.
corresponds to the Ln of morning cortisol concentration expressed as ng/dl and slope measured in the hospital environment. The tertile ranges were ≤ 5.3 (L), ]5.3–6.0] (M) and > 6.0 (H), for LnC8h; and ≤ −0,17 (s); ]−0.17 – −0.12] (m), and > −0.12 (f), for slope.
OR (adjusted for age and education level) corresponded to the risk of being in the lowest cognitive performance group (cross-sectional analysis) or the group with the greatest cognitive decline (longitudinal analysis) associated with having moderately high, or high morning cortisol level (LnC8h) or moderately flat, or flat cortisol slope. The reference (OR=1) was the tertile corresponding to the lowest LnC8h (L) or the steepest slope (s).
Cortisol secretion and cognitive decline over 2 or 4 years
Longitudinal changes in cognitive performance as a function of baseline cortisol parameters were then examined. In men, an association was observed between cortisol slope and decline on TMTB for the tertile corresponding to the flattest cortisol slopes (OR=7.7, p=0.03) compared to the tertile of the steepest slopes (Table 2). For the decline on the Benton test, the association was also significant for subjects with the flattest cortisol slope (OR=4.1, p=0.03).
In women, an association was observed between cognitive decline on the Isaacs test and both groups of moderately flat (OR=6.0, p=0.01) and flattest cortisol slopes (OR=3.8, p=0.06) compared to the steepest cortisol slope group (Table 3). An inverse association was also observed for decline on TMTB, at the highest morning cortisol level (OR=0.1, p=0.03), however subject numbers were small and CI95 large. A marginal association was also observed for the risk of decline on the Benton test at the highest morning cortisol levels (OR=5.1, p=0.06). Similar results were obtained after adjustment for ApoE genotype and other confounders such as anxiety disorders or current depressive symptomatology (data not shown).
Is the cortisol effect related to environmental context?
We then examined whether the associations found significant under stressful conditions at the hospital were also observed when cortisol was taken on a quiet day at home. Cortisol levels taken on a quiet day were found to have the same association with low performance on the Isaacs test in women (OR=4.8, 95%CI=1.3–18.4, p=0.02, for moderately high morning cortisol concentration and marginally for higher morning cortisol, OR=3.7, 95%CI=1.0–14.3, p=0.06) (Table 4). A comparable tendency although not significant was also observed for the Benton test concerning low performance in women (OR=4.7, 95%CI=0.9–25.4, p=0.07, for morning cortisol) and decline in men (OR = 3.3, 95%CI=0.9–12.6, p=0.08, for slope). Moderately high morning cortisol (OR=8.9, 95%CI= 2.3–34.6, p=0.002) or high morning cortisol (OR=4.5, 95%CI=1.1–19.0, p=0.04) were found to be associated with decline on the Isaac test in men. Alternatively, we could not observe significant associations with TMTB in men or women.
Table 4.
Cortisol | MEN |
WOMEN |
|||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Cross-sectional (n=111a) | Longitudinal (n=96a) | Cross-sectional (n=86a) | Longitudinal (n=66a) | ||||||||||||||||
LnC8h |
LnC8h |
Slope |
LnC8h |
LnC8h |
Slope |
||||||||||||||
ORb | 95%CI | p | ORb | 95%CI | p | ORb | 95%CI | p | ORb | 95%CI | p | ORb | 95%CI | p | ORb | 95%CI | p | ||
Isaacs | L/s | 1 | 1 | 1 | 1 | 1 | 1 | ||||||||||||
M/m | 0.3 | 0.1–1.3 | 0.10 | 8.9 | 2.3–34.6 | 0.002 | 2.2 | 0.7–6.4 | 0.16 | 4.8 | 1.25–18.4 | 0.02 | 0.4 | 0.1–1.4 | 0.15 | 1.4 | 0.4–5.2 | 0.61 | |
H/f | 0.6 | 0.2–1.5 | 0.25 | 4.5 | 1.1–19.0 | 0.04 | 1.3 | 0.4–4.1 | 0.65 | 3.7 | 0.95–14.3 | 0.06 | 0.4 | 0.1–1.5 | 0.19 | 1.5 | 0.4–5.5 | 0.56 | |
TMTB | L/s | 1 | 1 | 1 | 1 | 1 | 1 | ||||||||||||
M/m | 1.0 | 0.2–3.8 | 0.97 | 0.2 | 0.04–1.1 | 0.08 | 0.7 | 0.15–3.4 | 0.67 | 1.1 | 0.3–4.5 | 0.88 | 0.2 | 0.03–1.8 | 0.16 | 1.0 | 0.2–5.8 | 0.96 | |
H/f | 1.2 | 0.3–4.7 | 0.75 | 0.7 | 0.1–3.2 | 0.60 | 1.3 | 0.3–6.2 | 0.74 | 1.4 | 0.3–5.5 | 0.66 | 0.8 | 0.2–4.5 | 0.83 | 0.4 | 0.05–2.9 | 0.35 | |
Benton | L/s | 1 | 1 | 1 | 1 | 1 | 1 | ||||||||||||
M/m | 1.0 | 0.3–2.9 | 0.94 | 1.4 | 0.4–4.7 | 0.54 | 2.0 | 0.5–7.9 | 0.29 | 4.7 | 0.9–25.4 | 0.07 | 3.0 | 0.6–15.9 | 0.19 | 0.7 | 0.1–3.0 | 0.60 | |
H/F | 1.0 | 0.3–2.8 | 0.93 | 1.0 | 0.3–3.6 | 0.98 | 3.3 | 0.9–12.6 | 0.08 | 3.3 | 0.6–18.9 | 0.17 | 1.3 | 0.2–6.7 | 0.78 | 0.7 | 0.1–2.9 | 0.57 | |
MMSE | L/s | 1 | 1 | 1 | 1 | 1 | 1 | ||||||||||||
M/m | 0.7 | 0.2–2.1 | 0.49 | 2.3 | 0.5–10 | 0.26 | 2.6 | 0.6–11.3 | 0.19 | 1.3 | 0.4–4.0 | 0.61 | 1.3 | 0.3–6.3 | 0.72 | 1.6 | 0.4–6.9 | 0.52 | |
H/f | 0.8 | 0.3–2.6 | 0.76 | 3.0 | 0.7–14.2 | 0.15 | 1.7 | 0.4–8.3 | 0.48 | 0.6 | 0.2–1.9 | 0.36 | 1.3 | 0.3–5.7 | 0.69 | 0.8 | 0.2–3.9 | 0.83 |
For TMTB, 69 men and 61 women were included in cross-sectional analyses, of whom 48 men and 41 women had longitudinal assessment.
OR adjusted (adjusted for age and education level) corresponded to the risk of being in the lowest cognitive performance group (cross-sectional analysis) or the group with the greatest cognitive decline (longitudinal analysis) associated with having moderately high, or high morning cortisol level (LnC8h) or moderately flat, or flat cortisol slope. The reference (OR = 1) was the tertile corresponding to the lowest LnC8h (L) or the steepest slope (s).
Discussion
HPA axis response and cognitive functioning
Our results suggest that alterations in HPA axis response appeared associated with specific alterations in memory and executive function in non-depressed elderly persons but not with significant alteration in global cognitive function. Our data are consistent with some previous studies, which primarily found associations of elevated cortisol with deficits in language and verbal memory (Carlson & Sherwin, 1999, Greendale et al., 2000, Lupien et al., 1994, Lupien et al., 1997, O’Hara et al., 2007, Seeman et al., 1997, Wright et al., 2005). We have also found an association with executive function and visual memory. The impact on different cognitive tests is not surprising given that glucocorticoid receptors are widely distributed throughout the brain, especially the hippocampus and other brain regions related to stress and cognition, such as the frontal lobes (Lupien et al., 2007).
Few longitudinal studies have evaluated the predictive role of cortisol on cognitive decline, separately in elderly men and women. Baseline blood morning cortisol was shown to be a significant predictor of poor verbal fluency in postmenopausal women after 2-year follow-up, but not visual reproduction or TMTB (Greendale et al., 2000). Seeman et al. observed an association between high basal overnight cortisol excretion, as well as increased cortisol excretion over 2.5-yr follow-up and a decline in delayed verbal recall (but not abstraction or spatial performances) in women but not in men (Seeman et al., 1997). No gender differences were observed in changes in noon cortisol levels associated with cognitive decline over 1.5 years using a large neurocognitive battery, although some gender differences were observed cross-sectionally (Carlson & Sherwin, 1999). Too few subjects and methodological limitations (notably gender differences in the order of sampling and cognitive testing) limit the validity of these findings. Our results confirm the association between HPA axis response in post-menopausal women and decline in verbal but not visuo-spatial performance (Greendale et al., 2000, Seeman et al., 1997). The association with decline in visual memory in women, and both visual memory and visuo-spatial performance in men have not been previously reported.
Predictive role of cortisol parameters on cognitive dysfunction
Some longitudinal studies have evaluated the predictive value of cortisol levels on cognitive decline using blood “point” levels at inclusion (Greendale et al., 2000, Kalmijn et al., 1998), or overnight urinary cortisol measured once at inclusion (Karlamangla et al., 2005) or twice at 3-year intervals (Seeman et al., 1997). Apart from Kalmijn et al. (Kalmijn et al., 1998), who found no association with MMSE scores, the other studies showed an association with decline in global cognitive function (Karlamangla et al., 2005) or verbal performance (Greendale et al., 2000, Seeman et al., 1997). These cortisol parameters provide, however, a rather static picture of steady state HPA functioning. Li et al. used a more dynamic dimension, evaluating both cognitive function and salivary cortisol levels (at 8, 15, and 23h) annually for 3 years (Li et al., 2006). The subjects with initial higher evening cortisol level or with less negative slope of the change in evening cortisol during the 3 years, showed higher decline in delayed paragraph recall. These data are limited however by the small number of subjects and the lack of adjustment or gender stratification in analyses.
We measured the dynamic of diurnal cortisol secretion, just before and several hours after exposure to the stressful situation of the clinical examination. We observed that high morning cortisol level was associated with low cognitive performance principally in cross-sectional analysis, i.e. when cognitive evaluation was performed just after cortisol sampling. A flat cortisol slope appeared more predictive of cognitive decline in our longitudinal analysis. The cortisol slope corresponds to the rate of cortisol elimination up to 14h following the stressful situation; the flatter the slope, the longer the exposition to high endogenous cortisol levels and the slower the return to basal state, the higher the risk of cognitive decline in some domains. This may be due to protracted occupancy time and increased activation of glucocorticoid receptors. The normally beneficial neurological effects exerted by phasic activation of glucocorticoid receptors have been reported to become detrimental when glucocorticoid receptors are chronically activated (De Kloet et al., 1998).
Only one cross-sectional study reported a significant association of diurnal cortisol slope as well as waking cortisol with impairment in delayed verbal recall in elderly persons (O’Hara et al., 2007). Flatter cortisol slope has also been found to be associated with impairment in verbal memory in young adults with or without psychotic and non-psychotic depression (Gomez et al., 2006) as well as for breast cancer mortality where it is a better long-term predictor than high morning cortisol or area under the curve (Sephton et al., 2000). The predictive value of cortisol slope on cognitive decline in the elderly has not been evaluated before, although it is considered to be an important measure of stress responsiveness (O’Hara et al., 2007).
Is cognitive dysfunction associated with chronic or acute cortical elevation?
Although older adults have been reported to be more reactive to the environment in which their memory is tested than younger subjects (Lupien et al., 2007), few studies have attempted to differentiate the specific effects of acute stress-induced cortisol elevations on cognitive functioning in the elderly. Previous evaluations of cortisol levels have been restricted to short periods in laboratory environments, before and after stress exposure. Pretest evaluation is, however, not necessarily representative of basal cortisol levels because a laboratory environment may cause acute elevations in cortisol notably due to novelty or anticipatory effects, and thus be detrimental to declarative memory (Lupien et al., 1997). Two other cross-sectional studies reported an inverse association between cortisol levels and declarative memory performances independently of subjective rating of stress and/or acute stress effect (Lee et al., 2007, Wright et al., 2005).
We observed a comparable pattern when cortisol was evaluated on a stressful day at hospital and a quiet day at home, for the verbal recall and visual retention tests in women and men however not for the more complex frontal executive task, which may be more sensitive to stress. Under both conditions, we controlled for factors susceptible of affecting cortisol levels (e.g. eating, drinking, smoking, or physical exertion…). Our results may thus suggest that abnormal endogenous levels or chronic elevations of cortisol levels, which may result from cumulative life stress, may thus be predictive of cognitive alteration in visual and verbal memory. On the other hand, alteration in visuo-spatial performance in men appears to be more related to acute elevation in cortisol levels in response to environmental stress. Gender differences in the response to moderate stress have been observed in fMRI study in young adults. In men, stress was associated with asymmetric prefrontal activity and with cortisol variation, whereas in women, stress was associated with limbic activation and less correlated with cortisol (Wang et al., 2007). However, since we observed the same association at the hospital between altered HPA axis response and impaired performance on TMTB in cross-sectional as in longitudinal analysis, this suggests that an abnormal response to a stressful situation could also be predictive of cognitive decline in men.
Limitations and strengths
Exclusion of institutionalized persons and selective attrition in follow-up could have led to an underestimation of the harmful effects of cortisol elevation on cognitive functioning. Bias could also have been introduced through the selection of participants, those not included being more likely to have dementia, to be women, and with lower baseline cognitive scores. We also considered subjects lying within non-pathological ranges of cortisol parameters (Kirschbaum & Hellhammer, 1989). Thus, people with the strongest potential associations may have been selectively excluded so that associations between cortisol parameters and cognitive outcomes were underestimated. Although the size of our sample is higher than that of several other longitudinal studies on specific cognitive functions (Carlson & Sherwin, 1999, Li et al., 2006, Lupien et al., 1994, Lupien et al., 1998), except (Greendale et al., 2000, Seeman et al., 1997), some of our results could have been limited due to lack of power, notably for TMTB in women. In addition, multiple analyses have been performed which may have induced some chance associations, and although some results are consistent with previous studies, our findings need to be replicated with a larger sample for definite conclusion. Strengths of this study are the dynamic assessment of diurnal cortisol levels and the evaluation of gender differences and effect of environmental conditions as well as controlling for socio-demographic, genetic and psychopathologic status, which may independently contribute to cognitive decline. However, although we tried to control for a range of confounding factors, we cannot exclude that other uncontrolled factors may be intervening variables.
Implications of the study
Although we observed associations both in cross-sectional and longitudinal analyses, one cannot necessarily conclude to causality. Our findings however, support the hypothesis that cortisol excess is one of the mechanisms underlying cognitive dysfunction in the elderly. They are consistent with the idea that exposure to chronically elevated glucocorticoid levels may have a detrimental effect on hippocampal and prefrontal functioning, and could thus compromise performance on a variety of cognitive domains. Given that dysregulation in the HPA axis could be a result of exposure to chronic stress, it is plausible that decrements in cognitive function with aging may be due, at least partly, to long-term exposure to hazards in the psychosocial environment although other early-life or genetic contributions to variations in HPA axis function across the life-course could also be involved (Meaney et al., 2007). Our findings could also have clinical implications especially regarding the need for active and early identification of symptoms. Slow rhythm of diurnal cortisol secretion appears to constitute a sensitive indicator of alterations in HPA function and may be a putative marker of cognitive decline. If decrements in cognitive performance associated with elevated cortisol levels may not represent irreversible effects as already suggested (Lupien et al., 2005, Sandeep et al., 2004, Seeman et al., 1997, Wolf, 2003), interventions that block this pathway may provide new therapeutic options to protect against cortisol-mediated neurological compromise and hence reduce cognitive decline (Sandeep et al., 2004). Whether this cognitive decline represents the earliest stages of Alzheimer’s disease or some other progressive neurodegenerative disorder will require longer follow-up to examine further the relationship between HPA axis changes and time of onset of dementia.
Acknowledgments
We owe special thanks to Dr. N Bressot and C Bordedebat for skilled assistance in salivary cortisol evaluation.
Role of funding source
The ESPRIT Project has been financed by the Regional Government of Languedoc-Roussillon (France), the Agence Nationale de la Recherche (ANR, Project 07 LVIE 004), and an unconditional grant from Novartis (France). None had further role in study design; in the collection, analysis and interpretation of data; in the writing of the report; and in the decision to submit the paper for publication.
Footnotes
Declaration of Interest: None.
References
- American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders (DSM-IV) American Psychiatric Association; Washington, DC: 1994. [Google Scholar]
- Benton A. Manuel pour l’application du test de rétention visuelle. Applications cliniques et expérimentales. Centre de Psychologie Appliquée; Paris: 1965. [Google Scholar]
- Blair JR, Spreen O. Predicting premorbid IQ: a revision of the National Adult Reading Test. Clinical Neuropsychology. 1989;3:129–36. [Google Scholar]
- Carlson LE, Sherwin BB. Relationships among cortisol (CRT), dehydroepiandrosterone-sulfate (DHEAS), and memory in a longitudinal study of healthy elderly men and women. Neurobiology of Aging. 1999;20:315–324. doi: 10.1016/s0197-4580(99)00052-4. [DOI] [PubMed] [Google Scholar]
- Chaudieu I, Beluche I, Norton J, Boulenger JP, Ritchie K, Ancelin ML. Abnormal reactions to environmental stress in elderly persons with anxiety disorders: evidence from a population study of diurnal cortisol changes. Journal of Affective Disorders. 2008;106:307–313. doi: 10.1016/j.jad.2007.07.025. [DOI] [PubMed] [Google Scholar]
- De Kloet ER, Vreugdenhil E, Oitzl MS, Joels M. Brain corticosteroid receptor balance in health and disease. Endocrine Reviews. 1998;19:269–301. doi: 10.1210/edrv.19.3.0331. [DOI] [PubMed] [Google Scholar]
- Dufouil C, Richard F, Fievet N, Dartigues JF, Ritchie K, Tzourio C, Amouyel P, Alperovitch A. APOE genotype, cholesterol level, lipid-lowering treatment, and dementia: the Three-City Study. Neurology. 2005;64:1531–1538. doi: 10.1212/01.WNL.0000160114.42643.31. [DOI] [PubMed] [Google Scholar]
- Folstein MF, Folstein SE, McHugh PR. “Mini-mental state”. A practical method for grading the cognitive state of patients for the clinician. Journal of Psychiatry Research. 1975;12:189–98. doi: 10.1016/0022-3956(75)90026-6. [DOI] [PubMed] [Google Scholar]
- Gomez RG, Fleming SH, Keller J, Flores B, Kenna H, DeBattista C, Solvason B, Schatzberg AF. The neuropsychological profile of psychotic major depression and its relation to cortisol. Biological Psychiatry. 2006;60:472–478. doi: 10.1016/j.biopsych.2005.11.010. [DOI] [PubMed] [Google Scholar]
- Greendale GA, Kritz-Silverstein D, Seeman T, Barrett-Connor E. Higher basal cortisol predicts verbal memory loss in postmenopausal women: Rancho Bernardo Study. Journal of the American Geriatrics Society. 2000;48:1655–1658. doi: 10.1111/j.1532-5415.2000.tb03878.x. [DOI] [PubMed] [Google Scholar]
- Hellhammer DH, Kirschbaum C, Belkien L. Measurement of salivary cortisol under psychological stimulation. In: Hingtgen JN, Hellhammer DH, Huppman G, editors. Adavanced Methods in Psychobiology. Hogrefe; Toronto: 1987. pp. 281–289. [Google Scholar]
- Isaacs B, Kennie AT. The Set test as an aid to the detection of dementia in old people. British Journal of Psychiatry. 1973;123:467–470. doi: 10.1192/bjp.123.4.467. [DOI] [PubMed] [Google Scholar]
- Kalmijn S, Launer LJ, Stolk RP, de Jong FH, Pols HA, Hofman A, Breteler MM, Lamberts SW. A prospective study on cortisol, dehydroepiandrosterone sulfate, and cognitive function in the elderly. Journal of Clinical Endocrinology and Metabolism. 1998;83:3487–3492. doi: 10.1210/jcem.83.10.5164. [DOI] [PubMed] [Google Scholar]
- Karlamangla AS, Singer BH, Chodosh J, McEwen BS, Seeman TE. Urinary cortisol excretion as a predictor of incident cognitive impairment. Neurobiology of Aging. 2005;26:80–84. doi: 10.1016/j.neurobiolaging.2005.09.037. [DOI] [PubMed] [Google Scholar]
- Kirschbaum C, Hellhammer DH. Salivary cortisol in psychobiological research: an overview. Neuropsychobiology. 1989;22:150–169. doi: 10.1159/000118611. [DOI] [PubMed] [Google Scholar]
- Kirschbaum C, Hellhammer DH. Salivary cortisol in psychoneuroendocrine research: recent developments and applications. Psychoneuroendocrinology. 1994;19:313–333. doi: 10.1016/0306-4530(94)90013-2. [DOI] [PubMed] [Google Scholar]
- Kumsta R, Entringer S, Koper JW, van Rossum EF, Hellhammer DH, Wust S. Sex specific associations between common glucocorticoid receptor gene variants and hypothalamus-pituitary-adrenal axis responses to psychosocial stress. Biological Psychiatry. 2007;62:863–9. doi: 10.1016/j.biopsych.2007.04.013. [DOI] [PubMed] [Google Scholar]
- Lecrubier Y, Sheehan D, Weiller E, Amorim P, Bonara I, Sheehan K, Janavs J, Dunbar G. The Mini International Neuropsychiatric Interview (MINI), a short diagnostic interview: reliability and validity according to the CIDI. European Psychiatry. 1997;12:232–241. [Google Scholar]
- Lee BK, Glass TA, McAtee MJ, Wand GS, Bandeen-Roche K, Bolla KI, Schwartz BS. Associations of salivary cortisol with cognitive function in the Baltimore memory study. Archives of General Psychiatry. 2007;64:810–818. doi: 10.1001/archpsyc.64.7.810. [DOI] [PubMed] [Google Scholar]
- Lee BK, Glass TA, Wand GS, McAtee MJ, Bandeen-Roche K, Bolla KI, Schwartz BS. Apolipoprotein E Genotype, Cortisol, and Cognitive Function in Community-Dwelling Older Adults. American Journal of Psychiatry. 2008;165:1456–1464. doi: 10.1176/appi.ajp.2008.07091532. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Li G, Cherrier MM, Tsuang DW, Petrie EC, Colasurdo EA, Craft S, Schellenberg GD, Peskind ER, Raskind MA, Wilkinson CW. Salivary cortisol and memory function in human aging. Neurobiology of Aging. 2006;27:1705–1714. doi: 10.1016/j.neurobiolaging.2005.09.031. [DOI] [PubMed] [Google Scholar]
- Lupien S, Lecours AR, Lussier I, Schwartz G, Nair NP, Meaney MJ. Basal cortisol levels and cognitive deficits in human aging. Journal of Neuroscience. 1994;14:2893–2903. doi: 10.1523/JNEUROSCI.14-05-02893.1994. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lupien SJ, de Leon M, de Santi S, Convit A, Tarshish C, Nair NP, Thakur M, McEwen BS, Hauger RL, Meaney MJ. Cortisol levels during human aging predict hippocampal atrophy and memory deficits. Nature Neuroscience. 1998;1:69–73. doi: 10.1038/271. [DOI] [PubMed] [Google Scholar]
- Lupien SJ, Fiocco A, Wan N, Maheu F, Lord C, Schramek T, Tu MT. Stress hormones and human memory function across the lifespan. Psychoneuroendocrinology. 2005;30:225–242. doi: 10.1016/j.psyneuen.2004.08.003. [DOI] [PubMed] [Google Scholar]
- Lupien SJ, Gaudreau S, Tchiteya BM, Maheu F, Sharma S, Nair NP, Hauger RL, McEwen BS, Meaney MJ. Stress-induced declarative memory impairment in healthy elderly subjects: relationship to cortisol reactivity. Journal of Clinical Endocrinology and Metabolism. 1997;82:2070–2075. doi: 10.1210/jcem.82.7.4075. [DOI] [PubMed] [Google Scholar]
- Lupien SJ, Maheu F, Tu M, Fiocco A, Schramek TE. The effects of stress and stress hormones on human cognition: Implications for the field of brain and cognition. Brain and Cognition. 2007;65:209–237. doi: 10.1016/j.bandc.2007.02.007. [DOI] [PubMed] [Google Scholar]
- MacLullich AM, Deary IJ, Starr JM, Ferguson KJ, Wardlaw JM, Seckl JR. Plasma cortisol levels, brain volumes and cognition in healthy elderly men. Psychoneuroendocrinology. 2005;30:505–515. doi: 10.1016/j.psyneuen.2004.12.005. [DOI] [PubMed] [Google Scholar]
- Meaney MJ, Szyf M, Seckl JR. Epigenetic mechanisms of perinatal programming of hypothalamic-pituitary-adrenal function and health. Trends in Molecular Medicine. 2007;13:269–77. doi: 10.1016/j.molmed.2007.05.003. [DOI] [PubMed] [Google Scholar]
- O’Hara R, Schroder CM, Mahadevan R, Schatzberg AF, Lindley S, Fox S, Weiner M, Kraemer HC, Noda A, Lin X, Gray HL, Hallmayer JF. Serotonin transporter polymorphism, memory and hippocampal volume in the elderly: association and interaction with cortisol. Molecular Psychiatry. 2007;12:544–555. doi: 10.1038/sj.mp.4001978. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Otte C, Hart S, Neylan TC, Marmar CR, Yaffe K, Mohr DC. A meta-analysis of cortisol response to challenge in human aging: importance of gender. Psychoneuroendocrinology. 2005;30:80–91. doi: 10.1016/j.psyneuen.2004.06.002. [DOI] [PubMed] [Google Scholar]
- Radloff L. The CES-D scale: a self-report depression scale for research in the general population. Applied Psychological Measurement. 1977;1:385–401. [Google Scholar]
- Reitan R. Validity of the Trail Making Test as an indicator of organic brain damage. Perceptual and Motor Skills. 1965;8:271–276. [Google Scholar]
- Ritchie K, Artero S, Beluche I, Ancelin ML, Mann A, Dupuy AM, Malafosse A, Boulenger JP. Prevalence of DSM-IV psychiatric disorder in the French elderly population. British Journal of Psychiatry. 2004;184:147–152. doi: 10.1192/bjp.184.2.147. [DOI] [PubMed] [Google Scholar]
- Sandeep TC, Yau JL, MacLullich AM, Noble J, Deary IJ, Walker BR, Seckl JR. 11Beta-hydroxysteroid dehydrogenase inhibition improves cognitive function in healthy elderly men and type 2 diabetics. Proceedings of the National Academy of Sciences of the United States of America. 2004;101:6734–6739. doi: 10.1073/pnas.0306996101. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sauro MD, Jorgensen RS, Pedlow CT. Stress, glucocorticoids, and memory: a meta-analytic review. Stress. 2003;6:235–245. doi: 10.1080/10253890310001616482. [DOI] [PubMed] [Google Scholar]
- Seeman TE, McEwen BS, Singer BH, Albert MS, Rowe JW. Increase in urinary cortisol excretion and memory declines: MacArthur studies of successful aging. Journal of Clinical Endocrinology and Metabolism. 1997;82:2458–2465. doi: 10.1210/jcem.82.8.4173. [DOI] [PubMed] [Google Scholar]
- Sephton SE, Sapolsky RM, Kraemer HC, Spiegel D. Diurnal cortisol rhythm as a predictor of breast cancer survival. Journal of the National Cancer Institute. 2000;92:994–1000. doi: 10.1093/jnci/92.12.994. [DOI] [PubMed] [Google Scholar]
- Van Cauter E, Leproult R, Kupfer DJ. Effects of gender and age on the levels and circadian rhythmicity of plasma cortisol. Journal of Clinical Endocrinology and Metabolism. 1996;81:2468–2473. doi: 10.1210/jcem.81.7.8675562. [DOI] [PubMed] [Google Scholar]
- Wang J, Korczykowski M, Rao H, Fan Y, Pluta J, Gur RC, McEwen BS, Detre JA. Gender Difference in Neural Response to Psychological Stress. Social Cognitive and Affective Neuroscience. 2007;2:227–239. doi: 10.1093/scan/nsm018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wolf OT. HPA axis and memory. Best Practice and Research Clinical Endocrinology and Metabolism. 2003;17:287–299. doi: 10.1016/s1521-690x(02)00101-x. [DOI] [PubMed] [Google Scholar]
- World Health Organisation. International Classification of Diseases. 10. W.H.O; Geneva: 1992. [Google Scholar]
- Wright CE, Kunz-Ebrecht SR, Iliffe S, Foese O, Steptoe A. Physiological correlates of cognitive functioning in an elderly population. Psychoneuroendocrinology. 2005;30:826–838. doi: 10.1016/j.psyneuen.2005.04.001. [DOI] [PubMed] [Google Scholar]