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Correlation of psychological and physical
symptoms with chronically elevated cytokine
levels associated with a common immune
dysregulation
Ben Whalley, MSc; Pamela A. Jacobs, MSc; and Michael E. Hyland, PhD


   Background: Chronically elevated levels of proinflammatory cytokines are associated with inflammatory diseases and
psychological symptoms of depression and tiredness.
   Objective: To test the prediction that, in a healthy population without medically diagnosed diseases, psychological symptoms
(depression and tiredness) associated with proinflammatory cytokines correlate with physical symptoms associated with
inflammatory disease.
   Methods: A total of 1,143 women between 45 and 65 years old completed a health complaint checklist containing 11 target
symptoms (5 related to allergy, 4 to gastrointestinal symptoms, and 2 to pain), 7 control symptoms or health complaints, and 2
psychological symptoms (depression and tiredness). They also completed a menopausal quality-of-life questionnaire; to
compensate for response bias, we removed variance attributable to quality of life.
   Results: The partial correlations show that tiredness (but not depression) correlated with 9 of the 11 target symptoms (P Ͻ
.001) but with 0 of the 7 control symptoms or complaints. Symptoms of both the specific and the systemic components of
inflammatory disease are correlated in a healthy population.
   Conclusion: Immune dysregulation may explain the existence and covariation of psychological and physical symptoms in the
healthy population, including people with medically unexplained symptoms.
                                                                                        Ann Allergy Asthma Immunol. 2007;99:348–351.

INTRODUCTION                                                            are associated with major depression15 and humor or laugh-
Asthma, eczema, and rhinitis are allergic diseases that merge           ter16). Elevated IL-6 is also associated with reduced positive
imperceptibly with normality: allergic symptoms are found in            affect.17 The exact form of the relationship and mechanisms
the healthy population. Similarly, the symptoms of inflam-              linking cytokines (individually and in combination) and par-
matory bowel disease, irritable bowel syndrome, and esoph-              ticular symptoms have yet to be elucidated. If subclinical
ageal reflux merge with normality, as do the symptoms of                physical symptoms (ie, symptoms in a healthy population)
osteoarthritis. It is thought that diseases of immune dysregu-          are also associated with increased levels of proinflammatory
lation have, in addition to the disease-specific component, a           cytokines, then they should correlate with tiredness, depres-
systemic component comprising circulating proinflammatory               sion, or both. The purpose of this study was to investigate, in
cytokines, and this systemic component has been recorded for            a community sample, the relation between allergic, gastroin-
allergic diseases,1–5 gastrointestinal diseases,6 –9 osteoarthri-       testinal, and arthritic symptoms on the one hand and tiredness
tis,10,11 and rheumatoid arthritis.12 It is, therefore, possible that   and depression on the other hand.
this systemic proinflammatory component of increased cyto-                 Symptoms are measured through self-report, and all self-
kines is responsible for subclinical symptoms in a healthy              report measurements are subject to a variety of response
population.                                                             biases. Thus, a correlation between physical and psycholog-
   Systemic proinflammatory cytokines are associated with               ical symptoms may not be because of true variance shared by
psychological symptoms (eg, tiredness is associated with                these symptoms but because of common variance created by
tumor necrosis factor ␣13 and with interleukin 6 [IL-6] in              a shared response bias. For example, some people are more
patients with cancer,14 and tumor necrosis factor ␣ and IL-6            likely to recognize and report symptoms because of neuroti-
                                                                        cism or social desirability; all forms of health reporting
                                                                        correlate with neuroticism.18 To compensate for response bias
School of Psychology, University of Plymouth, Plymouth, England.        shared by physical and psychological scales, we measured
Authors have nothing to disclose.                                       quality of life (QOL). The QOL evaluation correlates highly
Mr Whalley was supported by an Economic and Social Research Council     with neuroticism and is subject to the same set of response
studentship award.
Received for publication March 19, 2007.
                                                                        biases as symptom evaluation. Therefore, partial correlations
Received in revised form June 15, 2007.                                 between the physical and psychological symptoms after con-
Accepted for publication June 19, 2007.                                 trolling for QOL will provide an estimate of the true associ-


348                                                                                  ANNALS OF ALLERGY, ASTHMA & IMMUNOLOGY
ation between physical and psychological symptoms, by ex-            Statistical Analysis
cluding the common variance created by response bias. In             We examined the correlations between symptoms and QOL
addition, as a validating check, we measured health com-             by Kendall ␶b correlations. We used nonparametric partial
plaints and symptoms that are not associated with a chronic          correlations22 to test the correlations between symptoms after
inflammatory disease. Such complaints are unlikely to be             removing the effect of QOL. We analyzed whether those who
linked to chronically elevated levels of proinflammatory cy-         had reported any medically diagnosed disease were more
tokines (in contrast to short-term elevation) and so they            depressed or tired than those without disease using the Mann-
should not correlate with trait depression or tiredness after        Whitney test. All analyses are based on the maximum of
controlling for QOL.                                                 people completing the relevant parts of the questionnaire.
                                                                     Significance was set at P Ͻ .001 (2-tailed) because of mul-
                                                                     tiple testing.
METHODS
Participant Recruitment
                                                                     RESULTS
A random sample of 3,000 women between 45 and 65 years
                                                                     A total of 1,143 women (38.1%) returned the questionnaires,
old (500 each from 6 Health Authority patient lists in England
                                                                     of whom 621 (20.7%) included a completed menopausal
and Wales) were sent anonymous postal questionnaires with
                                                                     QOL questionnaire (many patients returned the health check-
free postal envelopes for return. The 6 Health Authorities
                                                                     list without completing the longer QOL scale). The mean age
were chosen so that women from rural and urban populations
                                                                     was 50 years 10 months (SD, 6 years 8 months). Based on the
and from a variety of socioeconomic and ethnic backgrounds
                                                                     free-form responses, 132 women (11.5%) reported 1 or more
would be represented in the sample.                                  diagnosed illnesses, of whom 37 (3.2%) had asthma, 14
Questionnaire Measures                                               (1.2%) had an allergic disease, 17 (1.5%) had irritable bowel
The questionnaire pack was designed to measure the health of         syndrome, and 31 (2.7%) had arthritis. In response to the
women during the menopausal transition. The pack contained           question, “Do you get depressed easily?” 589 women
a questionnaire to measure minor health complaints.19,20 This        (51.5%) responded no; 330 (28.9%) reported a little, and 198
questionnaire, in addition to psychological symptoms, covers         (17.3%) reported yes. The number of people experiencing
19 physical symptoms or health complaints. We divided the            “tiredness for no reason in the last month” was never in 432
physical symptoms into 4 categories: (1) allergic symptoms           (37.8%), once in 78 (6.8%), 2 or 3 times in 221 (19.3%), 4 to
(wheeze, sneeze, blocked nose, itchy eyes, and itchy skin),          6 times in 98 (8.6%), and 7 or more times in 220 (19.2%).
(2) gastrointestinal symptoms (constipation, watery diarrhea,        People who reported a medically diagnosed disease were
explosive diarrhea, and heartburn), (3) pain symptoms (back          more tired (z ϭ 3.5, P Ͻ .001) but were not more depressed
pain and painful joints), and (4) other physical health com-         (z ϭ Ϫ0.73, P ϭ .47) than those who did not report a disease.
plaints or symptoms that are not associated with chronic                The following analyses have excluded all those who re-
inflammatory disease (thrush, cystitis, colds or flu, sore           ported a diagnosed disease. Table 1 provides the frequency
throat, mouth ulcers, cold sores, and fungal infections of the       and percentage of those reporting any level of each symptom
scalp or groin). Two psychological symptoms were evaluated           or health complaint. Table 1 also provides the raw correla-
(tiredness for no reason and depression). (The “Results”             tions of all physical symptoms with depression and tiredness,
section contains the exact wording of these items.) Thus,            the correlation between depression and tiredness, and the
there were 11 target symptoms that are associated with in-           same correlations after removing variance associated with
flammatory disease and may, therefore, correlate with depres-        QOL. After removing common variance attributable to re-
sion and tiredness and 7 control symptoms or complaints that         sponse bias, 8 of the 11 target symptoms were significantly
are not associated with inflammatory disease and should not          correlated with tiredness and 0 with depression. By contrast,
correlate after controlling for common response bias. For            0 of the 7 control symptoms or complaints was significantly
each item, participants replied on a 5-point frequency scale of      correlated with tiredness or depression.
occurrences (0 indicates 0; 1, 1; 2, 2 or 3; 3, 4 – 6; and 4, Ն7),
except for the items on itchy skin, sneeze, blocked nose, back       DISCUSSION
pain, painful joints, and depression, which were responded to        Allergic and gastrointestinal diseases and arthritis are char-
on 3-point severity scales (0 indicates no; 1, a little; and 2,      acterized by chronically increased systemic proinflammatory
yes). Finally, the pack contained a 48-item disease-specific         cytokines. We found that, in a healthy population, 8 of 11
menopausal QOL scale,21 which includes items relating to             symptoms associated with these diseases were correlated with
sleep, energy, feelings, love life, home life and everyday           tiredness after removing common variance attributable to
activities, social life, and work activities. Respondents reply      response bias. Thus, our data show that, in people without
to each item on a 5-point scale, and the total scale has an ␣        disease, psychological markers of systemic proinflammatory
coefficient of .82. Respondents were also asked to write (free       cytokines correlate with symptoms associated with inflam-
form) whether they had any medically diagnosed diseases,             matory diseases (ie, those diseases known to be characterized
and we identified those who reported any diagnosed disease.          by increased proinflammatory cytokines). The partial corre-


VOLUME 99, OCTOBER, 2007                                                                                                       349
Table 1. Bivariate and Partial Nonparametric Correlations of Symptoms With Depression and Tiredness, Controlling for QOLa

                                                            No. (%) of 621 patients             Raw correlations (␶)        Partial correlations (␶xyz)
                 Type of symptom
                                                             reporting symptomsb             Depression       Tiredness     Depression       Tiredness
 Target symptoms
   Patches of dry itchy skin                                       171 (27.5)                     0.10           0.08            0.06           0.04
   Wheeze in the past year                                         177 (28.5)                     0.10           0.14c           0.04           0.08
   Sneeze a lot even without having a cold                         287 (46.2)                     0.04           0.25c           0.001          0.23c
   Itchy eyes in the past month                                    301 (48.5)                     0.18c          0.27c           0.11           0.21c
   A blocked nose, even without a cold                             254 (40.9)                     0.10           0.26c           0.05           0.23c
   Constipation in the past month                                  228 (36.7)                     0.16c          0.16c           0.12           0.11
   Watery diarrhea in the past month                               265 (42.7)                     0.13c          0.23c           0.08           0.18c
   Explosive diarrhea in the past month                            264 (42.5)                     0.17c          0.22c           0.13           0.18c
   Heartburn in the past month                                     131 (21.1)                     0.10           0.22c           0.05           0.18c
   Back pain                                                       479 (77.1)                     0.18c          0.29c           0.10           0.22c
   Painful joints                                                  462 (74.4)                     0.14c          0.36c           0.06           0.31c
 Control symptoms or health complaints
   Colds or flu in the past year                                   488 (78.6)                    0.10           0.14c           0.06           0.10
   Sore throats in the past year                                   413 (66.5)                    0.12           0.21c           0.06           0.16
   Thrush in the past year                                         200 (32.2)                    0.09           0.10            0.04           0.06
   Athlete’s foot in the past year                                 176 (28.3)                   Ϫ0.04          Ϫ0.01           Ϫ0.05          Ϫ0.02
   Cystitis in the past year                                       165 (26.6)                    0.07           0.08            0.05           0.06
   Cold sores in the past year                                     222 (35.7)                    0.02           0.06           Ϫ0.001          0.05
   Mouth ulcers in the past year                                   208 (33.5)                    0.04           0.13c           0.002          0.09
   Fungal infections of the groin or scalp in the                  233 (37.5)                    0.16c          0.03            0.15           0.004
      past year
Abbreviation: QOL, quality of life.
a
  For correlations with depression, the number varies between 508 and 614; for tiredness, the number varies between 506 and 584. The raw
correlation of tiredness with depression is as follows: ␶579 ϭ 0.29; the partial correlation, controlling for QOL, is as follows: ␶xyz579 ϭ 0.18 (P Ͻ .001
for both).
b
  Nonzero scores and percentages are drawn from the group completing the QOL assessment.
c
  P Ͻ .001.



lations are in the order of 0.2, suggesting that, after excluding               should use an established fatigue questionnaire. Measures of
response bias, approximately 4% of variance is shared be-                       immune variables would also contribute to a better under-
tween tiredness and the physical symptom. Low correlations                      standing of the underlying mechanisms.
are expected because tiredness has multiple causes.6                               The term medically unexplained symptoms (MUSs) is
   We measured the reported symptom of depression, not                          used for patients who report troubling symptoms but have
psychiatrically diagnosed depression. Although some of the                      no identifiable pathophysiological features. Our data sug-
raw correlations between the target symptoms and depression                     gest that there may be physiological reasons why patients
were significant, none were significant after removing the                      with MUSs often report both tiredness and physical symp-
effect of QOL. People with disease were more tired but not                      toms associated with inflammatory disease. The cause of
more depressed than people without disease. The failure of                      MUSs may not be “all in the mind”23 but because of a
depressive symptoms to be related to physical symptoms may                      physiological dysregulation of proinflammatory cytokines.
be either because depression is less directly related to in-                    Rather than suggesting that psychological states cause
creased cytokines than tiredness or because of a scaling effect                 physical disease,24 it may be that both are the result of the
(eg, the severity measure of depression is less reliable than                   same immune dysregulation. Further research is needed to
the frequency measure of tiredness). As a validation check of                   establish whether our finding of correlations between psy-
our methods, we examined the correlations between 7 health                      chological and physical symptoms in the healthy popula-
complaints or symptoms that are not linked to chronically                       tion is mediated by immune dysregulation, as we originally
increased cytokines. None were significantly correlated with                    hypothesized.
tiredness.
   A major limitation of our study was that we used single-
item measures of tiredness and depression and for the phys-                     ACKNOWLEDGMENTS
ical symptoms. Single items tend to be less reliable than                       We thank Julie Griffin, PhD, for helping to collect the data;
multi-item questionnaires, so the true common variance may                      Ian Dennis, PhD, for his helpful statistical advice; and the 2
be greater than the 4% recorded herein. Future research                         referees for their helpful comments.


350                                                                                             ANNALS OF ALLERGY, ASTHMA & IMMUNOLOGY
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VOLUME 99, OCTOBER, 2007                                                                                                                351

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Whalley2007 correlation of psychological and physical

  • 1. Correlation of psychological and physical symptoms with chronically elevated cytokine levels associated with a common immune dysregulation Ben Whalley, MSc; Pamela A. Jacobs, MSc; and Michael E. Hyland, PhD Background: Chronically elevated levels of proinflammatory cytokines are associated with inflammatory diseases and psychological symptoms of depression and tiredness. Objective: To test the prediction that, in a healthy population without medically diagnosed diseases, psychological symptoms (depression and tiredness) associated with proinflammatory cytokines correlate with physical symptoms associated with inflammatory disease. Methods: A total of 1,143 women between 45 and 65 years old completed a health complaint checklist containing 11 target symptoms (5 related to allergy, 4 to gastrointestinal symptoms, and 2 to pain), 7 control symptoms or health complaints, and 2 psychological symptoms (depression and tiredness). They also completed a menopausal quality-of-life questionnaire; to compensate for response bias, we removed variance attributable to quality of life. Results: The partial correlations show that tiredness (but not depression) correlated with 9 of the 11 target symptoms (P Ͻ .001) but with 0 of the 7 control symptoms or complaints. Symptoms of both the specific and the systemic components of inflammatory disease are correlated in a healthy population. Conclusion: Immune dysregulation may explain the existence and covariation of psychological and physical symptoms in the healthy population, including people with medically unexplained symptoms. Ann Allergy Asthma Immunol. 2007;99:348–351. INTRODUCTION are associated with major depression15 and humor or laugh- Asthma, eczema, and rhinitis are allergic diseases that merge ter16). Elevated IL-6 is also associated with reduced positive imperceptibly with normality: allergic symptoms are found in affect.17 The exact form of the relationship and mechanisms the healthy population. Similarly, the symptoms of inflam- linking cytokines (individually and in combination) and par- matory bowel disease, irritable bowel syndrome, and esoph- ticular symptoms have yet to be elucidated. If subclinical ageal reflux merge with normality, as do the symptoms of physical symptoms (ie, symptoms in a healthy population) osteoarthritis. It is thought that diseases of immune dysregu- are also associated with increased levels of proinflammatory lation have, in addition to the disease-specific component, a cytokines, then they should correlate with tiredness, depres- systemic component comprising circulating proinflammatory sion, or both. The purpose of this study was to investigate, in cytokines, and this systemic component has been recorded for a community sample, the relation between allergic, gastroin- allergic diseases,1–5 gastrointestinal diseases,6 –9 osteoarthri- testinal, and arthritic symptoms on the one hand and tiredness tis,10,11 and rheumatoid arthritis.12 It is, therefore, possible that and depression on the other hand. this systemic proinflammatory component of increased cyto- Symptoms are measured through self-report, and all self- kines is responsible for subclinical symptoms in a healthy report measurements are subject to a variety of response population. biases. Thus, a correlation between physical and psycholog- Systemic proinflammatory cytokines are associated with ical symptoms may not be because of true variance shared by psychological symptoms (eg, tiredness is associated with these symptoms but because of common variance created by tumor necrosis factor ␣13 and with interleukin 6 [IL-6] in a shared response bias. For example, some people are more patients with cancer,14 and tumor necrosis factor ␣ and IL-6 likely to recognize and report symptoms because of neuroti- cism or social desirability; all forms of health reporting correlate with neuroticism.18 To compensate for response bias School of Psychology, University of Plymouth, Plymouth, England. shared by physical and psychological scales, we measured Authors have nothing to disclose. quality of life (QOL). The QOL evaluation correlates highly Mr Whalley was supported by an Economic and Social Research Council with neuroticism and is subject to the same set of response studentship award. Received for publication March 19, 2007. biases as symptom evaluation. Therefore, partial correlations Received in revised form June 15, 2007. between the physical and psychological symptoms after con- Accepted for publication June 19, 2007. trolling for QOL will provide an estimate of the true associ- 348 ANNALS OF ALLERGY, ASTHMA & IMMUNOLOGY
  • 2. ation between physical and psychological symptoms, by ex- Statistical Analysis cluding the common variance created by response bias. In We examined the correlations between symptoms and QOL addition, as a validating check, we measured health com- by Kendall ␶b correlations. We used nonparametric partial plaints and symptoms that are not associated with a chronic correlations22 to test the correlations between symptoms after inflammatory disease. Such complaints are unlikely to be removing the effect of QOL. We analyzed whether those who linked to chronically elevated levels of proinflammatory cy- had reported any medically diagnosed disease were more tokines (in contrast to short-term elevation) and so they depressed or tired than those without disease using the Mann- should not correlate with trait depression or tiredness after Whitney test. All analyses are based on the maximum of controlling for QOL. people completing the relevant parts of the questionnaire. Significance was set at P Ͻ .001 (2-tailed) because of mul- tiple testing. METHODS Participant Recruitment RESULTS A random sample of 3,000 women between 45 and 65 years A total of 1,143 women (38.1%) returned the questionnaires, old (500 each from 6 Health Authority patient lists in England of whom 621 (20.7%) included a completed menopausal and Wales) were sent anonymous postal questionnaires with QOL questionnaire (many patients returned the health check- free postal envelopes for return. The 6 Health Authorities list without completing the longer QOL scale). The mean age were chosen so that women from rural and urban populations was 50 years 10 months (SD, 6 years 8 months). Based on the and from a variety of socioeconomic and ethnic backgrounds free-form responses, 132 women (11.5%) reported 1 or more would be represented in the sample. diagnosed illnesses, of whom 37 (3.2%) had asthma, 14 Questionnaire Measures (1.2%) had an allergic disease, 17 (1.5%) had irritable bowel The questionnaire pack was designed to measure the health of syndrome, and 31 (2.7%) had arthritis. In response to the women during the menopausal transition. The pack contained question, “Do you get depressed easily?” 589 women a questionnaire to measure minor health complaints.19,20 This (51.5%) responded no; 330 (28.9%) reported a little, and 198 questionnaire, in addition to psychological symptoms, covers (17.3%) reported yes. The number of people experiencing 19 physical symptoms or health complaints. We divided the “tiredness for no reason in the last month” was never in 432 physical symptoms into 4 categories: (1) allergic symptoms (37.8%), once in 78 (6.8%), 2 or 3 times in 221 (19.3%), 4 to (wheeze, sneeze, blocked nose, itchy eyes, and itchy skin), 6 times in 98 (8.6%), and 7 or more times in 220 (19.2%). (2) gastrointestinal symptoms (constipation, watery diarrhea, People who reported a medically diagnosed disease were explosive diarrhea, and heartburn), (3) pain symptoms (back more tired (z ϭ 3.5, P Ͻ .001) but were not more depressed pain and painful joints), and (4) other physical health com- (z ϭ Ϫ0.73, P ϭ .47) than those who did not report a disease. plaints or symptoms that are not associated with chronic The following analyses have excluded all those who re- inflammatory disease (thrush, cystitis, colds or flu, sore ported a diagnosed disease. Table 1 provides the frequency throat, mouth ulcers, cold sores, and fungal infections of the and percentage of those reporting any level of each symptom scalp or groin). Two psychological symptoms were evaluated or health complaint. Table 1 also provides the raw correla- (tiredness for no reason and depression). (The “Results” tions of all physical symptoms with depression and tiredness, section contains the exact wording of these items.) Thus, the correlation between depression and tiredness, and the there were 11 target symptoms that are associated with in- same correlations after removing variance associated with flammatory disease and may, therefore, correlate with depres- QOL. After removing common variance attributable to re- sion and tiredness and 7 control symptoms or complaints that sponse bias, 8 of the 11 target symptoms were significantly are not associated with inflammatory disease and should not correlated with tiredness and 0 with depression. By contrast, correlate after controlling for common response bias. For 0 of the 7 control symptoms or complaints was significantly each item, participants replied on a 5-point frequency scale of correlated with tiredness or depression. occurrences (0 indicates 0; 1, 1; 2, 2 or 3; 3, 4 – 6; and 4, Ն7), except for the items on itchy skin, sneeze, blocked nose, back DISCUSSION pain, painful joints, and depression, which were responded to Allergic and gastrointestinal diseases and arthritis are char- on 3-point severity scales (0 indicates no; 1, a little; and 2, acterized by chronically increased systemic proinflammatory yes). Finally, the pack contained a 48-item disease-specific cytokines. We found that, in a healthy population, 8 of 11 menopausal QOL scale,21 which includes items relating to symptoms associated with these diseases were correlated with sleep, energy, feelings, love life, home life and everyday tiredness after removing common variance attributable to activities, social life, and work activities. Respondents reply response bias. Thus, our data show that, in people without to each item on a 5-point scale, and the total scale has an ␣ disease, psychological markers of systemic proinflammatory coefficient of .82. Respondents were also asked to write (free cytokines correlate with symptoms associated with inflam- form) whether they had any medically diagnosed diseases, matory diseases (ie, those diseases known to be characterized and we identified those who reported any diagnosed disease. by increased proinflammatory cytokines). The partial corre- VOLUME 99, OCTOBER, 2007 349
  • 3. Table 1. Bivariate and Partial Nonparametric Correlations of Symptoms With Depression and Tiredness, Controlling for QOLa No. (%) of 621 patients Raw correlations (␶) Partial correlations (␶xyz) Type of symptom reporting symptomsb Depression Tiredness Depression Tiredness Target symptoms Patches of dry itchy skin 171 (27.5) 0.10 0.08 0.06 0.04 Wheeze in the past year 177 (28.5) 0.10 0.14c 0.04 0.08 Sneeze a lot even without having a cold 287 (46.2) 0.04 0.25c 0.001 0.23c Itchy eyes in the past month 301 (48.5) 0.18c 0.27c 0.11 0.21c A blocked nose, even without a cold 254 (40.9) 0.10 0.26c 0.05 0.23c Constipation in the past month 228 (36.7) 0.16c 0.16c 0.12 0.11 Watery diarrhea in the past month 265 (42.7) 0.13c 0.23c 0.08 0.18c Explosive diarrhea in the past month 264 (42.5) 0.17c 0.22c 0.13 0.18c Heartburn in the past month 131 (21.1) 0.10 0.22c 0.05 0.18c Back pain 479 (77.1) 0.18c 0.29c 0.10 0.22c Painful joints 462 (74.4) 0.14c 0.36c 0.06 0.31c Control symptoms or health complaints Colds or flu in the past year 488 (78.6) 0.10 0.14c 0.06 0.10 Sore throats in the past year 413 (66.5) 0.12 0.21c 0.06 0.16 Thrush in the past year 200 (32.2) 0.09 0.10 0.04 0.06 Athlete’s foot in the past year 176 (28.3) Ϫ0.04 Ϫ0.01 Ϫ0.05 Ϫ0.02 Cystitis in the past year 165 (26.6) 0.07 0.08 0.05 0.06 Cold sores in the past year 222 (35.7) 0.02 0.06 Ϫ0.001 0.05 Mouth ulcers in the past year 208 (33.5) 0.04 0.13c 0.002 0.09 Fungal infections of the groin or scalp in the 233 (37.5) 0.16c 0.03 0.15 0.004 past year Abbreviation: QOL, quality of life. a For correlations with depression, the number varies between 508 and 614; for tiredness, the number varies between 506 and 584. The raw correlation of tiredness with depression is as follows: ␶579 ϭ 0.29; the partial correlation, controlling for QOL, is as follows: ␶xyz579 ϭ 0.18 (P Ͻ .001 for both). b Nonzero scores and percentages are drawn from the group completing the QOL assessment. c P Ͻ .001. lations are in the order of 0.2, suggesting that, after excluding should use an established fatigue questionnaire. Measures of response bias, approximately 4% of variance is shared be- immune variables would also contribute to a better under- tween tiredness and the physical symptom. Low correlations standing of the underlying mechanisms. are expected because tiredness has multiple causes.6 The term medically unexplained symptoms (MUSs) is We measured the reported symptom of depression, not used for patients who report troubling symptoms but have psychiatrically diagnosed depression. Although some of the no identifiable pathophysiological features. Our data sug- raw correlations between the target symptoms and depression gest that there may be physiological reasons why patients were significant, none were significant after removing the with MUSs often report both tiredness and physical symp- effect of QOL. People with disease were more tired but not toms associated with inflammatory disease. The cause of more depressed than people without disease. The failure of MUSs may not be “all in the mind”23 but because of a depressive symptoms to be related to physical symptoms may physiological dysregulation of proinflammatory cytokines. be either because depression is less directly related to in- Rather than suggesting that psychological states cause creased cytokines than tiredness or because of a scaling effect physical disease,24 it may be that both are the result of the (eg, the severity measure of depression is less reliable than same immune dysregulation. Further research is needed to the frequency measure of tiredness). As a validation check of establish whether our finding of correlations between psy- our methods, we examined the correlations between 7 health chological and physical symptoms in the healthy popula- complaints or symptoms that are not linked to chronically tion is mediated by immune dysregulation, as we originally increased cytokines. None were significantly correlated with hypothesized. tiredness. A major limitation of our study was that we used single- item measures of tiredness and depression and for the phys- ACKNOWLEDGMENTS ical symptoms. Single items tend to be less reliable than We thank Julie Griffin, PhD, for helping to collect the data; multi-item questionnaires, so the true common variance may Ian Dennis, PhD, for his helpful statistical advice; and the 2 be greater than the 4% recorded herein. Future research referees for their helpful comments. 350 ANNALS OF ALLERGY, ASTHMA & IMMUNOLOGY
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