|
SLEEP-EVAL© RESEARCHSleep Epidemiology Research & Sleep-EVALTM Diagnosis Expert System |
Stanford Sleep Epidemiology Journal Stanford Sleep Epidemiology Research Center (SSERC) Psy-EVAL Research
"Not
everything that can be counted counts,
|
Depression, Pain and Sleep
First created | 01/12/2003Last edited | 11/04/2011
Summary by Maurice M. Ohayon, MD, DSc, PhD
Reference to cite: Ohayon MM, Schatzberg AF. Using chronic pain to predict depressive morbidity in the general population. Arch Gen Psychiatry. 2003 Jan;60(1):39-47.
Surprisingly, few studies have attempted to determine if a comorbid medical condition in individuals with chronic painful physical disease increased the likelihood of having a major depressive disorder
Some studies have reported associations between depression and a number of long-term medical painful conditions including pain syndrome:
In this study, we explored further the relationship of chronic painful physical condition to depression in a large community sample composed of 18,980 Europeans aged 15 years and older. We wanted to find:
the prevalences of pain, depressive symptoms, and major depression in this representative sample;
the degree of association between chronic painful physical condition and depressive symptomatology and major depressive disorder diagnosis;
other factors such as a comorbid non-painful medical condition modifying the association between pain and depression;
if pain symptoms are more common than classic vegetative symptoms in a community based sample of subjects with major depressive disorder diagnosis.
The participants in the five countries were
interviewed by telephone between 1994 and 1999 with the broader purpose of
investigating sleep habits, sleep-related symptoms and psychiatric and sleep
disorder diagnoses according to DSM-IV. The target
population was all non-institutionalized residents ages 15 years or over living
in the United Kingdom, Germany, Italy, Portugal. These five countries totaled approximately 206 millions
inhabitants.
A two-stage sampling design, was used for all five
countries using the geographical
distribution in the first stage and the Kish
selection method (18) in
the second stage. The Kish method is based on eight selection tables.
It
maintains the representation of the
sample in terms of age and gender and avoids bias related to non-coverage error.
The participation rate was 79.6% (4,972 of 6,249 eligible individuals) in the
UK; 68.1% (4,115 of 6,047 eligible individuals) in Germany; 89.4% (3,970 of
4,442 eligible individuals) in Italy; 83% (1,858 of 2,234 eligible subjects) in
Portugal; and 87.5% (4,065 of 4,648 eligible individuals) in Spain. Altogether,
18,980 subjects participated in the study.The overall
participation rate was 80.4%.
The sample included 18,980 subjects between 15 and 100 years old:
Subjects from the United Kingdom represented 26.2% of the sample;
German subjects 21.7%;
Spanish subjects 21.4%;
Italian subjects 20.9%;
and Portuguese subjects 9.8%.
Limitations of the study
This was designed primarily as a study to address sleep and mental disorders in the general population and the questionnaire did not include extensive questions about pain and their sites.
Therefore, it was not possible to distinguish
between the different clinical forms of pain with great specificity.
Second, the data collected on pain and non-painful medical conditions relied on self-reporting.
However, since pain involves mainly a subjective perception and experience, self-reports are commonly considered accurate for the report of pain.
Studies that have examined the concordance between subjective reports of pain and external measures of pain have found good agreement between the two (27).
Furthermore, a physician or another health specialist had already diagnosed non-painful medical conditions reported in this study.
Prevalence of DSM-IV depressive disorders diagnoses
We found a prevalence of 4% of major depressive disorders in this European sample, which is close to the one-month prevalence of 4.9% reported in the National Comorbidity Survey (NCS) (2). The main differences between this study and the ECA (1) and NCS studies are numerou
First, the age range is broader in this sample (15 to 100 years old) than in the NCS study (15 to 54 years old).
Second, the time frame is also different (point prevalence in this study, 1-month, 6-month, 1-year or lifetime prevalence in the NCS and ECA studies), and
Third, in this study, a differential diagnosis procedure was applied to all the subjects with a major depressive episode.
The pain-depression association
Among the 4% of subjects in the sample with a major depressive disorder diagnosis, over 40% also had a chronic painful physical condition. A third of subjects with a major depressive disorder diagnosis had a non-painful medical condition. Therefore, only 38.4% of subjects with a major depressive disorder had neither a chronic painful physical condition nor a non-painful medical condition; approximately 15% had both. In subjects with a major depression diagnosis, the odds of having a chronic painful physical condition were greater than for depressive symptoms ranging from 2.0 to 5.0 (crude odds ratios).
Conversely, among subjects with a chronic painful condition, the highest odds of having a depressive disorder diagnosis were found in subjects who reported backache or headaches.
These results confirm those in other clinical studies that examined the prevalence of a depressive disorder diagnosis in patients with low back pain or headaches (37-40).
Interestingly, 24-hour presence of pain made an independent contribution to the presence of a major depressive disorder diagnosis, indicating that continuous pain by itself increases the likelihood of having a major depressive disorder diagnosis.
Furthermore, when controlling for the presence of a non-painful medical condition, a chronic painful physical condition remains an important factor related to the presence of a major depressive disorder.
Both, the influence of 24-hour pain and comorbid chronic painful physical condition and non-painful medical condition were never investigated in the general population prior this study.
Other results are noteworthy:
We found in that study that shift working was a
predictive factor for major depressive disorders as were unemployment and being
homemaker.
Previous epidemiological studies on major depressive
disorders did not pay attention to separate working individuals according to
their work schedule (1-5).
However, some studies on shift workers have reported
high rates of major depressive disorders in this population (41,42).
We also investigated the influence of obesity on the
association pain and major depressive disorders because obesity has been
demonstrate to be related to the severity of the pain on one hand (14,15) and to
the presence of major depressive disorder on the other hand (16,17).
Interestingly, in bivariate analyses, these two
associations were observed; i.e., obese individuals are more likely to report a
chronic painful condition and they have a higher prevalence of major depressive
disorders than the normal weighted individuals.
However, when introduced into a multivariate model,
the association obesity and major depressive disorder disappeared.
Instead, we found that being over-weighted was a
protective factor for major depressive disorder.
Should depression be assessed differently in subjects with chronic pain?
The pain-depression interaction is not yet fully understood.
Some argue that chronic pain should be viewed as a potent physical and psychological stressor that may influence mood:
Thus, pain can be viewed as a potential trigger of
the depressive illness.
Some longitudinal studies partly support that
hypothesis (8-12).
The relationship, however, is far more complex: if
pain precedes the depressive illness in as many as 40% of cases, the reverse is
also true: depressive illness often precedes physical pain (7,8,10,12).
Our data are cross-sectional; therefore, it offers
limited information about the course of pain and depression.
We found, however, that depressed mood is
significantly longer - about six months - in subjects who have reported a
chronic painful physical condition.
Therefore, pain could also contribute to the
prolongation of a depressive episode.
This result has also been reported in clinical studies
(44).
On the other hand, others argue that depression should be assessed differently in subjects with physical pain or, at least, that special attention should be brought to somatic symptoms of depression, that are also often associated with physical pain and can in fact be attributable to the painful physical condition rather than to depression (45-47).
Therefore, there is a question as the extent to which painful physical condition can induces a false-positive diagnosis of a major depressive disorder.
In this study, we found that changes in appetite or weight, fatigue, insomnia/hypersomnia and feelings of worthlessness or guilt were frequently associated with pain alone.
About 88% of subjects with a depressive disorder diagnosis reported somatic depressive symptoms: fatigue, sleep and appetite disturbances. If we exclude subjects who reported both a chronic painful physical condition and somatic symptoms of depression and who did not have sufficient depressive symptoms to fulfill the criteria of a major depressive episode, the prevalence of a depressive disorder diagnosis drops to 3.4%. Therefore, about 15% of depressive disorder diagnoses would be discarded.
There is no clear consensus on how to manage depressive somatic symptoms in the context of painful physical conditions:
Some argue that the overlap between pain and depressive symptoms may even compromise the validity of diagnostic questionnaires in that specific population (48-50).
In this regard, Endicott (51) has recommended that alternative diagnostic criteria be used e.g., using non-somatic substitute symptoms to make the diagnosis of major depression.
In summary, this study clearly shows the importance of chronic painful physical condition in major depressive disorders.
Pain is a common symptom that remains strongly associated with major depressive disorder even when controlling for the presence of non-painful medical conditions.
Furthermore, the co-occurrence of chronic painful physical condition and non-painful medical condition increased the likelihood of having a major depressive disorder.
Further studies on the relationship of pain to major depressive disorders appear warranted.
Content of this page is extracted from:
Ohayon MM, Schatzberg AF. Using chronic pain to predict depressive morbidity in the general population. Arch Gen Psychiatry. 2003 Jan;60(1):39-47.
Medical & Psychiatric Correlates
Smoking is positively related to difficulties
in initiating sleep and estimated sleep latency.
Although often
reported in clinical studies, the association between the use of
antihypertensive drugs and insomnia was seldom reported in
epidemiological studies.
On sleep patterns, alcohol at bedtime accelerates the sleep onset, increases
the amount of slow-wave sleep, decreases the amount of REM sleep and causes
sleep disruption in the second half of the sleep period.
About
four out of 10 insomnia subjects medicate themselves with
over-the-counter medications or alcohol.
Other medications,
such as serotonergic reuptake inhibitors (SSRIs), some neuroleptics,
some antiparkinsonians and amphetamines may all provoke insomnia among
patients using these kinds of medications. Hypnotics and anxiolytics
may cause insomnia
Waking up with a headache is traditionally associated with sleep disorders
Obstructive Sleep Apnea Syndrome
is an independent risk factor (odds ratio: 9.7) for hypertension.
Snoring and breathing pauses during sleep appeared to be
non-significant predictive factors.
Surprisingly, few studies have
attempted to determine if a comorbid medical condition in individuals with
chronic painful physical disease increased the likelihood of having a major
depressive disorder
Depression with Psychotic Features
There are little data regarding the prevalence of associated psychotic features in subjects with major depressive disorders in the general population
Sleep Apnea
and Depression
Some clinical studies have attempted to
determine whether depression limits the recognition and treatment of
breathing-related sleep disorders, or if breathing-related sleep disorders play
a role in the etiology or course of depressive disorder