Skip to main content
Erschienen in: BMC Psychiatry 1/2015

Open Access 01.12.2015 | Research article

The incremental burden of pain in patients with depression: results of a Japanese survey

verfasst von: Jeffrey Vietri, Tempei Otsubo, William Montgomery, Toshinaga Tsuji, Eiji Harada

Erschienen in: BMC Psychiatry | Ausgabe 1/2015

Abstract

Background

Major depressive disorder (MDD) is a chronic mental illness which affects an estimated 3% of the Japanese population. Many patients with MDD report painful physical symptoms, and research outside of Japan suggests such patients may represent a subtype of depression which is more severe and difficult to treat. There is no evidence available about the characteristics or incremental burden of these patients in Japan. The objective of this study was to quantify the incremental burden of physical pain among individuals in Japan diagnosed with depression.

Methods

Data for individuals age 18 and older who reported a physician diagnosis of depression were obtained from the Japan National Health and Wellness Survey (NHWS). Respondents who also reported physical pain were matched to respondents who did not report pain using propensity scores and compared using bivariate statistics. Measures included Patient Health Questionnaire (PHQ-9) for depression severity, Medical Outcomes Study 12-Item Short Form Survey Instrument (SF-12v2) for health-related quality of life, the Work Productivity and Activity Impairment (WPAI) for work and activity impairment, and 6-month report of health care use.

Results

Individuals with depression who reported physical pain had higher PHQ-9 depression scores (14.3 vs. 11.1, p<0.001), lower health-related quality of life (Mental Component Summary score [MCS] 29.1 vs. 32.0, p<0.01; Physical Component Summary score [PCS] 43.0 vs. 47.2, p<0.001; health utility [SF-6D] 0.567 vs. 0.613, p<0.001), more presenteeism (46.3% vs. 36.8%, p<0.01), more overall work impairment (51.4% vs. 42.3%, p<0.01), more activity impairment (55.4% vs. 43.9%, p<0.001), and reported using more health care provider visits in the prior 6 months (17.7 vs. 12.8, p<0.01) as well as hospitalizations (1.7 vs. 0.8, p<0.05) relative to propensity-score matched controls without pain. Absenteeism (13.1% vs. 11.4%, p=0.51) and emergency room visits (0.31 vs. 0.35, p=0.76) were not significantly different between the two matched groups.

Conclusions

Individuals whose depression is accompanied by physical pain have a higher burden of illness than those whose depression does not include physical pain. Clinicians should take the presence of pain into account and consider treating both the physical and emotional symptoms of these patients.
Hinweise

Competing interests

Eli Lilly K.K. and Shionogi & Co., LTD provided funds to Kantar Health for the analysis of the data and drafting of the manuscript. JV is an employee of Kantar Health. TO has received speaking fees from GlaxoSmithKline K.K., Eli Lilly Japan K.K., Pfizer Japan Inc., Otsuka Pharmaceutical Co., Ltd, MOCHIDA PHARMACEUTICAL CO., LTD and Mitsubishi Tanabe Pharma Corporation. WM is an employee of Eli Lilly and may own Eli Lilly stock. TT is an employee of Shionogi & Co., LTD and may own Shionogi & Co., LTD stock. EH was a full-time employee of Eli Lilly Japan K.K. during the conduct of the study and the preparation of the manuscript.

Authors’ contributions

JV contributed to the design of the study, analyzed the data, and drafted the paper. TO revised the paper for intellectual content. WM contributed to the design of the study and revised the paper for intellectual content. TT revised the paper for intellectual content. EH contributed to the design of the study and revised the paper for intellectual content. All authors read and approved the final manuscript.

Authors’ information

EH contributed to this work while a full-time employee of Eli Lilly Japan K.K., and the content of the article has not been reviewed or endorsed by his current institution, the Japanese Ministry of Health, Labour and Welfare.

Background

Major Depressive Disorder (MDD) is a severe recurring illness associated with depressed mood, loss of interest or pleasure, feelings of guilt or low self-worth, disturbed sleep or appetite, psychomotor agitation or slowing, low energy, poor concentration, and risk of suicide. Depression has a considerable impact on both patients with the condition as well as on broader society [1-3]. MDD is one of the most common mood disorders, with a 12-month prevalence of approximately 3% in Japan according to the World Health Organization Composite International Diagnostic Interview [4]. While the prevalence of mood disorders such as MDD is considerably lower in Japan than in many Western countries, there are significant cohort differences in susceptibility to mood disorders, with higher prevalence in younger generations [5]. The higher lifetime prevalence expected for these younger people suggests an increase in the societal burden of depression is likely in the future. Patients suffering from depression sometimes present with painful physical symptoms as well [6], which many exacerbate this burden.
As is the case with depression, chronic pain conditions have been found to lead to substantial disability [7-10]. Furthermore, previous research has shown that a high proportion of patients with depression experience a range of painful physical symptoms [11,12]. The subset of depressed patients who experience such pain symptoms appears to have a particularly high level of disability. Relative to depressed patients without comorbid pain, individuals with depression and pain have greater limitations in daily activities [11,12], have worse health related quality of life (HRQoL) [11-15], and are more likely to be unemployed due to disability [11,16]. Patients with both depression and pain also use more inpatient and outpatient health care resources and are more expensive to treat [11,14,17-20]. In fact, it has been suggested that patients with depression and painful physical symptoms may constitute a distinct subpopulation of patients which is more difficult to treat [21].
The connection between painful physical symptoms and greater depression severity, lower quality of life, and greater health care use was recently demonstrated in a multi-country prospective study of individuals presenting with an acute depressive episode in East Asia [22]. In that study, painful physical symptoms were reported by approximately half of the patients enrolled, and such symptoms were associated with clinically important decrements in quality of life at 3 months post-baseline [22]. This decrement was maintained after adjusting for covariates including baseline level of depression [23]. Similarly, worse pain symptoms were associated with lower remission rates of depression [24]. However, Japan was not included in the aforementioned prospective study, and little real-world data from Japan has been reported regarding either the incremental burden of physical pain on patients with depression or the burden on the Japanese health care system. Research describing patient-reported health outcomes such as HRQoL and impairment to work and daily activities among these individuals is particularly scarce.
Therefore the objective of this study was to assess the incremental burden of physical pain in real-world patients with depression in Japan, including the association between the presence of physical pain and the severity of depression symptoms.

Methods

Data source

Data were provided by the Japan National Health and Wellness Survey (NHWS; Kantar Health, NY, USA), an annual internet-based survey of the general population aged 18 and older. Potential respondents for the NHWS were selected from an opt-in survey panel through random sampling stratified by age and gender to match the Japanese population aged 18 years and older. This project included two years of Japan NHWS data, with 25,000 respondents collected in 2010 and 30,000 in 2011. These two years of data were collected independently of one another but combined to provide a more robust sample size for the current analysis. Respondents who participated in both years of the survey were identified and only the more recent response was included in the analyses. In addition to membership in the survey panel, respondents were required to read and write Japanese, be at least 18 years old, and provide informed consent. All information was collected through self-report. The protocol and questionnaire for the NHWS were reviewed and approved by Essex Institutional Review Board (Lebanon, New Jersey, USA).

Measures

Depression

The NHWS includes questions on experience, diagnosis, and treatment of a broad variety of medical conditions, one of which is depression. Those who indicated they had experienced depression in the prior 12 months were then asked if their depression had been diagnosed by a doctor. Respondents who indicated a diagnosis by a doctor were considered to have depression and were asked additional details regarding the year of diagnosis, the type of physician, and whether they were currently using a prescription medication for their depression. The diagnostic criteria used and setting of the diagnosis were not assessed in the survey.

Depression symptoms

Depression symptoms were assessed using the PHQ-9 [25], a validated scale used to screen for depression and to assess its severity, translated into Japanese. This scale measures depression through the frequency of anhedonia, depressed mood, sleep disturbance, lack of energy, appetite disturbance, negative self-feelings, difficulty concentrating, psychomotor retardation or agitation, and thoughts of self-harm in the prior two weeks. The severity of depression was assigned according to the standard cutoff scores: 5, 10, 15, and 20 points for mild, moderate, moderately severe, and severe depression, respectively. The total score can also be considered as a continuous variable. A single-item measure of the interference of these symptoms is also included in the instrument. The PHQ-9 was not included in the 2011 Japan NHWS, and comparisons of depression severity therefore included fewer respondents than other measures which were common across both 2010 and 2011. In addition to the PHQ-9, respondents also rated the severity of their depression as mild, moderate, or severe.

Painful physical symptoms

The NHWS asks respondents to indicate whether they have experienced pain in the 12 months preceding the survey (yes or no); those who indicated experiencing pain were considered to have painful physical symptoms. In order to avoid attributing pain from obvious physical causes to painful symptoms associated with depression, respondents who reported pain caused by broken bones, cancer, dental problems, menstrual cycle, post herpetic neuralgia, surgery or a medical procedure, or phantom limb pain (neuropathic pain following amputation) were excluded from the analyses.
The Japanese language version of the revised Medical Outcomes Study 12-Item Short Form Survey Instrument (SF-12v2) was used to measure HRQoL. This is a multipurpose, generic HRQoL instrument comprising of 12 questions [26] developed from the widely used SF-36v2 [27]. Two summary scores calculated from this measure were used: the physical component summary (PCS) score, an index of overall physical functioning, and the mental component summary (MCS) score, which is an index of mental and emotional health. Scores can be interpreted relative to the US population average of 50 with a standard deviation of 10, with higher scores indicating better HRQoL.
Responses to the SF-12v2 were also used to generate health state utilities according to the SF-6D algorithm, a preference-based, single index measure for health using general population values [28]. The SF-6D index has interval scoring properties and yields summary scores on a theoretical 0–1 scale (with an empirical floor of 0.3). Higher scores indicate better (more preferred) health status, with 1 being equivalent to perfect health.

Work productivity and activity impairment

Work productivity was assessed using the Japanese language version of the Work Productivity and Activity Impairment (WPAI) questionnaire, which assesses absenteeism (work time missed), presenteeism (impairment while at work), overall work productivity impairment (a combination of absenteeism and presenteeism), and activity impairment (impairment in daily activities) due to health problems over the prior seven days [29]. All are reported as percentages, with higher numbers indicating greater impairment. Only respondents who reported being full-time or part-time employed provided data for absenteeism, presenteeism, and overall work impairment. All respondents provided data for activity impairment.

Health care resource use

Health care resource use is assessed in the NHWS as all-cause health care provider (HCP) visits, emergency room (ER) visits, and hospitalizations in the 6 months prior to the survey. HCP visits were calculated by summing the self-reported number of visits to specific types of health care providers (e.g., general internist, psychiatrist, allergist, dentist, nurse, etc.).

Analysis

The analysis was conducted in three phases. First, patients with depression were compared according to the presence of physical pain using t-tests for continuous variables and chi-square tests for categorical variables. This analysis served to identify patient characteristics that were associated with physical pain and describe the differences in outcomes, irrespective of the presence of potentially confounding patient characteristics across the two groups.
The second step of the analysis was the assignment of propensity scores. Propensity scores were calculated using a binary logistic regression predicting the presence of pain within the sample reporting a diagnosis of depression. The regression incorporated age, sex, completion of university education, household income category, body mass index (BMI) category, cigarette smoking, alcohol use, exercise, length of depression diagnosis, type of diagnosing physician, and Charlson comorbidity index (CCI) as predictors. These variables were selected for inclusion either because of their potential relationships with outcomes, observed differences in unmatched comparisons, or both. Variables that differed according to the presence of pain that could be considered outcomes, including employment status, depression severity, HRQoL, work and activity impairment, and health care resource use were not used as predictors in the regression. The predicted values from this regression were used as propensity scores to match each respondent with depression and pain to a single respondent whose depression did not include pain using a greedy matching algorithm.
The third and final step in the analysis was comparison of the two matched samples (depression with and without pain) using independent-samples t-tests and chi-square tests. These comparisons provide an incremental burden of physical pain in depression after eliminating measured confounders.

Results

Sample characteristics

The disposition of Japan NHWS respondents is presented in Figure 1. A total of 54,977 individuals completed the Japan NHWS across 2010 and 2011, and 2,147 of those respondents indicated experiencing depression in the prior 12 months. Of these, 1,964 indicated a doctor diagnosis of depression. Eighty-nine (89) were excluded due to the source or type of pain experienced, resulting in 1,875 respondents with a physician diagnosis of depression included in the analysis. After exclusions for source of pain, physical pain was reported by 18.8% (n=352) of the sample. The average respondent was 40.6 years old and had been diagnosed with depression 6.2 years prior to the survey. A total of 80% reported current treatment for depression with a prescription medication. The sample was 52.6% males, 63.2% were employed, 50.6% had completed a 4-year college degree or greater, and 44.3% reported being married or living with a partner.

Unmatched comparisons

Demographic and health characteristics are presented in Table 1. Pain was associated with different demographic characteristics among those reporting a diagnosis of depression. Those reporting pain were more likely to be women, less likely to have a 4-year university degree, less likely to be employed, and tended to fall into the lower income categories than those without pain. The proportion of respondents using alcohol, smoking cigarettes, and exercising in the prior month were similar across the two groups, though respondents who reported pain differed in the distribution of BMI categories and had higher CCI scores.
Table 1
Sociodemographic and health characteristics by the presence of physical pain
 
Depressed without pain (N=1523)
Depressed with pain (N=352)
 
 
n
%
n
%
p-value
Female
687
45.1%
202
57.4%
<0.001
Marital status
    
0.039
  Married or living with partner
671
44.1%
160
45.5%
 
  Single, never married
702
46.1%
143
40.6%
 
  Divorced
150
9.8%
49
13.9%
 
Annual household income
    
0.070
  Less than ¥ 3,000,000
382
25.1
114
32.4
 
  ¥ 3,000,000 to ¥ 4,999,999
371
24.4
71
20.2
 
  ¥ 5,000,000 to ¥ 7,999,999
342
22.5
71
20.2
 
  ¥ 8,000,000 or more
295
19.4
67
19.0
 
  Decline to answer
133
8.7
29
8.2
 
University degree or greater
799
52.5%
150
42.6%
0.001
Employed
981
64.4%
204
58.0%
0.024
BMI categories
    
0.010
  Underweight
176
11.6%
56
15.9%
 
  Normal
870
57.1%
190
54.0%
 
  Overweight
286
18.8%
78
22.2%
 
  Obese
123
8.1%
14
4.0%
 
  Decline to answer
68
4.5%
14
4.0%
 
Drinks alcohol
1065
69.9%
255
72.4%
0.351
Smokes cigarettes
475
31.2%
117
33.2%
0.456
Vigorous exercise in past month
624
41.0%
153
43.5%
0.392
 
Mean
SD
Mean
SD
p-value
Age
40.3
12.2
41.5
12.1
0.118
BMI (n=1460, 339)
23.32
5.07
22.73
4.86
0.052
CCI
0.22
0.69
0.53
2.12
0.006*
Note: p-values for comparison of frequencies are from omnibus Pearson chi-square test; p-values for comparison of means are from t-test; asterisk indicates p-value adjusted for violation of homogeneity of variance assumption; BMI: Body mass index; CCI: Charlson comorbidity index.
Depression characteristics are presented in Table 2. Regardless of whether pain was present or not, approximately four out of every five respondents in the sample had been diagnosed by a psychiatrist, and a similar proportion was currently using a prescription for depression. Those with pain had been diagnosed with depression an average of one year longer, and their depression was more severe. This finding of greater depression severity among those with pain was consistent whether assessed through self-rated severity, PHQ-9 score, or the distribution of PHQ-9 severity categories. Patients with pain also rated their depression as making it harder to work or function than those without pain.
Table 2
Depression characteristics by the presence of physical pain
 
Depressed without pain (N=1523)
Depressed with pain (N=352)
 
 
n
%
n
%
p-value
Diagnosing physician (n=1,481; 338)
    
0.027
  General internist
156
10.5%
53
15.7%
 
  Psychiatrist
1250
84.4%
268
79.3%
 
  Other
75
5.1%
17
5.0%
 
Currently use prescription
1229
80.7%
274
77.8%
0.226
Depression severity (self-rated)
    
0.005
  Mild
614
40.3%
117
33.2%
 
  Moderate
697
45.8%
165
46.9%
 
  Severe
212
13.9%
70
19.9%
 
Depression severity categories (PHQ-9; n=824; 185)
    
<0.001
  None
162
19.7%
13
7.0%
 
  Mild
239
29.0%
47
25.4%
 
  Moderate
149
18.1%
40
21.6%
 
  Moderately severe
140
17.0%
41
22.2%
 
  Severe
134
16.3%
44
23.8%
 
Problems made it hard to work/function (PHQ-9; n=769; 182)
    
0.012
  Not difficult at all
126
16.4%
16
8.8%
 
  Somewhat difficult
426
55.4%
101
55.5%
 
  Very difficult
139
18.1%
35
19.2%
 
  Extremely difficult
78
10.1%
30
16.5%
 
 
Mean
SD
Mean
SD
p-value
Length of depression diagnosis (years) (n=1481; 338)
6.0
5.7
7.1
7.1
0.010*
PHQ-9 total score (n=824; 185)
11.3
7.4
14.1
7.1
<0.001
Note: p-values for comparison of frequencies are from omnibus Pearson chi-square test; p-values for comparison of means are from t-test; asterisk indicates p-value adjusted for violation of homogeneity of variance assumption.
Patients with depression and pain also had worse outcomes in terms of quality of life and functioning as measured by the SF-12v2 and WPAI, and reported more frequent use of health care resources (Table 3). Those with pain had decrements of 2.8 points on the MCS score and 4.5 points on the PCS score relative to those who did not report pain, and SF-6D health utility scores were .05 points lower than those who had depression without pain. Impairment to work and daily activities were significantly greater among those with pain relative to those without pain, and HCP visits were also more frequent, though ER visits and hospitalizations were not significantly different.
Table 3
General patient-reported outcomes by the presence of physical pain
 
Depressed without pain (N=1523)
Depressed with pain (N=352)
 
 
Mean
SD
Mean
SD
p-value
HRQoL
     
  Mental Component Summary
31.9
11.9
29.1
11.2
<0.001
  Physical Component Summary
47.5
8.2
43.0
8.8
<0.001
  Health utility score (SF-6D)
0.615
0.099
0.567
0.093
<0.001
Work impairment
     
  Absenteeism (%) (n=914; 191)
14.8
29.1
13.7
26.4
0.649
  Presenteeism (%) (n=895; 191)
38.0
26.7
46.4
25.7
<0.001
  Overall work impairment (%) (n=914; 191)
45.5
31.6
51.7
29.2
0.009*
Activity impairment (%)
45.1
27.7
55.3
25.8
<0.001*
Health care use (past 6 months)
     
  HCP visits
12.7
12.2
17.6
17.2
<0.001*
  ER visits
0.29
1.63
0.32
1.42
0.745
  Hospitalizations
1.16
6.95
1.74
7.37
0.178*
Note: HRQoL: Health-related quality of life; ER: Emergency room; HCP: Health care provider; p-values for comparison of frequencies are from omnibus Pearson chi-square test; p-values for comparison of means are from t-test; asterisk indicates p-value adjusted for violation of homogeneity of variance assumption.

Matching procedure

A total of 56 respondents (14 with pain and 42 without) were excluded from the logistic regression because of missing data for length of diagnosis. Higher odds of having pain were associated with female sex, higher CCI score, longer duration of depression, and lack of a university degree (Table 4). The presence of pain also varied with BMI category. Five respondents with pain were not able to be matched to a control without pain, resulting in a total of 333 respondents with both depression and pain and 333 matched controls.
Table 4
Odds ratios of reported pain among individuals with depression in Japan
  
95% confidence limits
 
 
Odds ratio
Lower
Upper
p-value
Age (1 year)
0.999
0.987
1.011
0.856
Female
1.601
1.219
2.104
<0.001
Marital status (overall)
   
0.326
  Married/living with partner
Reference
 
  Single, never married
0.830
0.607
1.134
0.134
  Divorced
1.122
0.748
1.682
0.295
Household income (overall)
   
0.157
  Less than ¥ 3,000,000
Reference
 
  ¥ 3,000,000 to ¥ 4,999,999
0.673
0.471
0.963
0.333
  ¥ 5,000,000 to ¥ 7,999,999
0.679
0.466
0.988
0.384
  ¥ 8,000,000 or more
0.677
0.457
1.001
0.395
  Decline to answer
0.821
0.511
1.319
0.670
University degree or greater
0.744
0.572
0.967
0.027
BMI category (overall)
   
0.010
  Underweight
Reference
 
  Normal
0.772
0.533
1.119
0.520
  Overweight
1.048
0.672
1.634
0.011
  Obese
0.372
0.191
0.724
0.008
  Decline to answer
0.624
0.313
1.246
0.604
Drinks
1.200
0.908
1.587
0.200
Smokes
1.095
0.836
1.435
0.509
Exercises
1.141
0.889
1.466
0.300
CCI
1.398
1.197
1.634
<0.001
Diagnosing doctor (overall)
   
0.241
  General internist
Reference
 
  Psychiatrist
0.735
0.514
1.052
0.288
  Other
0.784
0.417
1.474
0.757
Length of diagnosis (1 year)
1.024
1.004
1.045
0.018
Note: p-value is from Wald chi-square test in binary logistic regression; BMI: Body mass index; CCI: Charlson comorbidity index.

Matched comparisons

There were no significant differences between the two matched groups in sociodemographics and health characteristics (all p > 0.40; Table 5) or in the depression-specific variables included in the regression (i.e., type of diagnosing doctor and length of diagnosis, both p>0.74; Table 6). Though not included in the matching equation, current use of a prescription medication for depression was similar across those with and without pain (Table 6).
Table 5
Sociodemographic and general health characteristics in the matched sample by the presence of physical pain
 
Depressed without pain
Depressed with pain
 
 
(N=333)
(N=333)
 
 
n
%
n
%
p-value
Female
184
55.3%
191
57.4%
0.584
Marital status
    
0.818
  Married
159
47.7%
151
45.3%
 
  Single, never married
129
38.7%
136
40.8%
 
  Divorced
45
13.5%
46
13.8%
 
Annual household income
    
0.986
  Less than ¥ 3,000,000
110
33.0%
109
32.7%
 
  ¥ 3,000,000 to ¥ 4,999,999
62
18.6%
67
20.1%
 
  ¥ 5,000,000 to ¥ 7,999,999
67
20.1%
66
19.8%
 
  ¥ 8,000,000 or more
66
19.8%
62
18.6%
 
  Decline to answer
28
8.4%
29
8.7%
 
University degree or greater
150
45.0%
140
42.0%
0.434
Employed
198
59.5%
194
58.3%
0.753
BMI categories
    
0.808
  Underweight
56
16.8%
51
15.3%
 
  Normal
181
54.4%
181
54.4%
 
  Overweight
76
22.8%
74
22.2%
 
  Obese
12
3.6%
14
4.2%
 
  Decline to answer
8
2.4%
13
3.9%
 
Drinks alcohol
250
75.1%
241
72.4%
0.428
Smokes cigarettes
117
35.1%
112
33.6%
0.683
Vigorous exercise in past month
144
43.2%
145
43.5%
0.938
 
Mean
SD
Mean
SD
p-value
Age
41.7
12.6
41.5
11.9
0.815
BMI (n=318; 320)
22.7
4.0
22.8
4.9
0.701
CCI
0.37
1.11
0.42
0.95
0.524
Note: p-values for comparison of frequencies are from omnibus Pearson chi-square test; p-values for comparison of means are from t-test; BMI: Body mass index; CCI: Charlson comorbidity index.
Table 6
Depression characteristics by presence of physical pain (matched comparisons)
 
Depressed without pain
Depressed with pain
 
 
(N=333)
(N=333)
 
 
n
%
n
%
p-value
Diagnosing physician
    
0.921
  General internist
52
15.6%
50
15.0%
 
  Psychiatrist
266
79.9%
266
79.9%
 
  Other
15
4.5%
17
5.1%
 
Currently use prescription
260
78.1%
265
79.6%
0.635
Depression severity (self-rated)
    
0.184
  Mild
128
38.4%
110
33.0%
 
  Moderate
156
46.8%
159
47.7%
 
  Severe
49
14.7%
64
19.2%
 
Depression severity (PHQ-9; n=194; 177)
    
<0.001
  None
42
21.6%
11
6.2%
 
  Mild
48
24.7%
45
25.4%
 
  Moderate
44
22.7%
38
21.5%
 
  Moderately severe
33
17.0%
41
23.2%
 
  Severe
27
13.9%
42
23.7%
 
Problems made it hard to work/function (PHQ-9; n=180; 175)
    
0.088
  Not difficult at all
28
15.6%
16
9.1%
 
  Somewhat difficult
102
56.7%
96
54.9%
 
  Very difficult
33
18.3%
34
19.4%
 
  Extremely difficult
17
9.4%
29
16.6%
 
 
Mean
SD
Mean
SD
p-value
Length of depression diagnosis (years)
7.0
6.7
6.8
6.5
0.742
PHQ-9 total score (n=198; 175)
11.1
7.3
14.3
7.1
<0.001
Note: p-values for comparison of frequencies are from omnibus Pearson chi-square test; p-values for comparison of means are from t-test.
However, differences in severity of depression between those with and without pain remained significant in the matched comparisons when measured by the PHQ-9 total score or PHQ-9 severity categories. In contrast, self-ratings of severity did not differ (Table 6). The ratings of how much the depression made it hard to work or function (which is not asked of respondents without depression symptoms on the PHQ-9) showed a non-significant trend for more interference among those with pain (p=.09; Table 6).
The pattern of poorer HRQoL, more work and activity impairment, and greater health care use among those with painful physical symptoms noted in the unmatched comparison was confirmed in the matched comparisons (Table 7). HRQoL was worse in those with depression and pain compared to those with depression alone, with the mean MCS score 2.9 points lower, mean PCS score 4.2 points lower, and mean health utility score .046 points lower in those with pain. Presenteeism was higher by 10% among those with pain, and impairment in non-work activities was 12% greater in absolute terms. As in the unmatched comparisons, those with pain visited HCPs more frequently, with 4.9 more visits on average in a 6-month period, and 0.9 more hospitalizations during the same time, though rates of ER use were similar in those with and without physical pain.
Table 7
General patient-reported outcomes by the presence of physical pain (matched comparisons)
 
Depressed without pain
Depressed with pain
 
 
(N=333)
(N=333)
 
HRQoL
Mean
SD
Mean
SD
p-value
  Mental Component Summary
32.0
11.9
29.1
11.3
0.001
  Physical Component Summary
47.2
8.4
43.0
8.8
<0.001
  Health utility score (SF-6D)
0.613
0.097
0.567
0.094
<0.001
Work impairment
     
  Absenteeism (%) (n=188; 181)
11.4
24.9
13.1
25.7
0.510
  Presenteeism (%) (n=181; 191)
36.8
26.6
46.3
25.5
<0.001
  Overall work impairment (%) (n=191;182)
42.3
30.4
51.4
29.0
0.003
Activity impairment (%)
43.9
27.1
55.4
25.7
<0.001
Health care use (past 6 months)
     
  HCP visits
12.8
12.7
17.7
17.2
<0.001
  ER visits
0.35
1.87
0.31
1.36
0.758
  Hospitalizations
0.78
4.11
1.72
7.27
0.041
Note: HRQoL: Health-related quality of life; ER: Emergency room; HCP: Health care provider; p-values are from t-test.

Discussion

The current study demonstrates that individuals in Japan with depression and painful physical symptoms have both more-severe depression and impaired health outcomes relative to those whose depression does not include painful symptoms. A broad variety of health outcomes are impacted, including HRQoL, work productivity impairment, and health care resource use. The impact of physical pain among these patients remained significant after propensity score matching equated the groups on a variety of potential confounders, including age, sex, education, level of income, length of diagnosis, type of diagnosing physician, and comorbidity burden, among others.
Consistent with previous research [22,24], the current study found an association between physical pain and the severity of depression, which was reflected in both the MCS score, which is a broad index of mental and emotional health, and the PHQ-9 score, which is specific to depression. These findings further support the idea that depression which includes painful physical symptoms is a more severe subtype of depression [21]. The difference in MCS scores was just below the 3-point threshold often considered the minimally important difference (MID) for this measure [27]. Not surprisingly, physical pain showed an impact outside of the measures designed to assess mental and emotional well-being. The difference in PCS scores observed was greater than the 3-point MID threshold. The .046 difference observed in SF-6D utility scores is also substantial, and greater than the .030 interval often considered the MID for that measure [30]. The impact of pain was not limited to HRQoL, as those with pain reported 1.26 times the presenteeism according to the WPAI, 1.22 times the overall work impairment, and 1.26 times the activity impairment reported by those without pain. Health care use was likewise elevated, with nearly 5 more HCP visits on average per patient during the 6-month recall period and one additional hospitalization among those with pain relative to those without pain.
The prevalence of pain among those with depression was considerably lower in the current study (18%) than was reported among other East Asians (52%) [22,24]. It is not clear to what extent the difference reflects differences in the populations studied versus differences in measurements used in the studies. The aforementioned prospective study found differences in the prevalence of painful physical symptoms across the countries included in the study using a common definition, which was a threshold of greater than or equal to 2 points on the Somatic Symptoms Inventory pain scale [31]. However, that scale is not used in the NHWS. Instead, the current study required the patient to identify pain as condition they had experienced in the prior 12 months, and this difference in assessment may have been partially responsible for the lower prevalence reported here. Differences in measures used also prevent comparing the magnitude of the differences between those with and without pain between this study and the previous one, as the measures used to assess depression severity and HRQoL also differed.
Like any study, the current analysis has important limitations. Details regarding the diagnosis of depression were not available in the survey data. Indeed, some individuals in the present study may not have met diagnostic criteria for MDD at the time of the survey. Other NHWS respondents may have been suffering from depression but were not included here due to lack of diagnosis being required for inclusion in this study. While it was not possible to corroborate the diagnosis self-reported in NHWS with medical records, the high prevalence of self-reported prescription use for depression and the results of the PHQ-9 provide additional evidence that the sample studied here is suffering from depression. Approximately 80% of the sample was currently using a prescription medication for depression, and the vast majority of patients in this study had symptoms of depression, with 82.7% of respondents rated as having at least mild depression symptoms on the PHQ-9. Likewise, the definition of pain in the current study differed from previous studies, and no specific pain scale was administered to all respondents of the NHWS. Incorporating a scale such as the Somatic Symptoms Inventory to screen individuals for pain may have identified additional respondents with depression who were experiencing pain but who did not indicate pain as one of their conditions in the survey. The cross-sectional and correlational nature of the survey did not allow for assessment of the time course of the physical symptoms, and it was not clear whether individuals had painful physical symptoms at the onset of the emotional components of the depressive episode or whether the pain developed at another time. The propensity scores were generated by a regression analysis, the results of which may have differed if different variables were included, or if the variables used in the regression were coded in a different way. Finally, while the matching procedure equalized the groups on a number of measured potential confounders, it is possible that an unmeasured variable differed across the matched groups and was responsible for some portion of the differences observed.

Conclusion

In conclusion, the presence of physical pain among depression patients in Japan appears to have an effect similar to that seen in other countries, where it is associated with more-severe depression, treatment resistance, worse health outcomes, greater use of health care resources, and lower productivity. Clinicians caring for these patients should take the presence of physical pain into account and consider treating both the physical and emotional symptoms of depression.

Acknowledgments

Eli Lilly K.K. and Shionogi & Co., LTD provided funds to Kantar Health for the analysis of the data and drafting of the manuscript. The authors would also like to acknowledge Tomomi Mori of Eli Lilly K.K. for her tireless administrative support throughout the duration of the project, and Shinji Fujikoshi of Eli Lilly K.K. for helpful comments on the analysis.
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://​creativecommons.​org/​licenses/​by/​4.​0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated.

Competing interests

Eli Lilly K.K. and Shionogi & Co., LTD provided funds to Kantar Health for the analysis of the data and drafting of the manuscript. JV is an employee of Kantar Health. TO has received speaking fees from GlaxoSmithKline K.K., Eli Lilly Japan K.K., Pfizer Japan Inc., Otsuka Pharmaceutical Co., Ltd, MOCHIDA PHARMACEUTICAL CO., LTD and Mitsubishi Tanabe Pharma Corporation. WM is an employee of Eli Lilly and may own Eli Lilly stock. TT is an employee of Shionogi & Co., LTD and may own Shionogi & Co., LTD stock. EH was a full-time employee of Eli Lilly Japan K.K. during the conduct of the study and the preparation of the manuscript.

Authors’ contributions

JV contributed to the design of the study, analyzed the data, and drafted the paper. TO revised the paper for intellectual content. WM contributed to the design of the study and revised the paper for intellectual content. TT revised the paper for intellectual content. EH contributed to the design of the study and revised the paper for intellectual content. All authors read and approved the final manuscript.

Authors’ information

EH contributed to this work while a full-time employee of Eli Lilly Japan K.K., and the content of the article has not been reviewed or endorsed by his current institution, the Japanese Ministry of Health, Labour and Welfare.
Literatur
1.
Zurück zum Zitat Ustun TB, Ayuso-Mateos JL, Chatterji S, Mathers C, Murray CJL. Global burden of depressive disorders in the year 2000. Br J Psychiatry. 2004;184:386–92.CrossRefPubMed Ustun TB, Ayuso-Mateos JL, Chatterji S, Mathers C, Murray CJL. Global burden of depressive disorders in the year 2000. Br J Psychiatry. 2004;184:386–92.CrossRefPubMed
2.
Zurück zum Zitat Kawakami N, Takeshima T, Ono Y, Uda H, Hata Y, Nakane Y, et al. Twelve‐month prevalence, severity, and treatment of common mental disorders in communities in Japan: preliminary finding from the World Mental Health Japan Survey 2002–2003. Psychiatry Clin Neurosci. 2005;59.4:441–52.CrossRef Kawakami N, Takeshima T, Ono Y, Uda H, Hata Y, Nakane Y, et al. Twelve‐month prevalence, severity, and treatment of common mental disorders in communities in Japan: preliminary finding from the World Mental Health Japan Survey 2002–2003. Psychiatry Clin Neurosci. 2005;59.4:441–52.CrossRef
3.
Zurück zum Zitat Lépine J-P, Briley M. The increasing burden of depression. Neuropsychiatr Dis Treat. 2011;7 Suppl 1:3–7. Published online 2011 May 31. doi:10.2147/NDT.S19617.PubMedPubMedCentral Lépine J-P, Briley M. The increasing burden of depression. Neuropsychiatr Dis Treat. 2011;7 Suppl 1:3–7. Published online 2011 May 31. doi:10.2147/NDT.S19617.PubMedPubMedCentral
5.
Zurück zum Zitat Kessler RC, Angermeyer M, Anthony JC, De Graaf R, Demyttenare K, Gasquet I, et al. Lifetime prevalence and age-of-onset distributions of mental disorders in the World Health Organization's World Mental Health Survey Initiative. World Psychiatry. 2007;6.3:168. Kessler RC, Angermeyer M, Anthony JC, De Graaf R, Demyttenare K, Gasquet I, et al. Lifetime prevalence and age-of-onset distributions of mental disorders in the World Health Organization's World Mental Health Survey Initiative. World Psychiatry. 2007;6.3:168.
6.
Zurück zum Zitat Kroenke K. The interface between physical and psychological symptoms. Prim. care companion. J Clin Psychiatry. 2003;5:11–8. Kroenke K. The interface between physical and psychological symptoms. Prim. care companion. J Clin Psychiatry. 2003;5:11–8.
7.
Zurück zum Zitat Reid KJ, Harker J, Bala MM, Truyers C, Kellen E, Bekkering GE, et al. Epidemiology of chronic non-cancer pain in Europe: narrative review of prevalence, pain treatments and pain impact. Curr Med Res Opin. 2011;27(2):449–62.CrossRefPubMed Reid KJ, Harker J, Bala MM, Truyers C, Kellen E, Bekkering GE, et al. Epidemiology of chronic non-cancer pain in Europe: narrative review of prevalence, pain treatments and pain impact. Curr Med Res Opin. 2011;27(2):449–62.CrossRefPubMed
8.
Zurück zum Zitat Breivik H, Eisenberg E, O’Brien T. The individual and societal burden of chronic pain in Europe: The case for strategic prioritization and action to improve the knowledge and availability of appropriate care. BMC Public Health, 2013; 13:1229. Breivik H, Eisenberg E, O’Brien T. The individual and societal burden of chronic pain in Europe: The case for strategic prioritization and action to improve the knowledge and availability of appropriate care. BMC Public Health, 2013; 13:1229.
9.
Zurück zum Zitat Lalonde L, Choiniere M, Martin E, Berbiche D, Perreault S, Lussier D. Costs of moderate to severe chronic pain in primary care patients – a study of the ACCORD program. J Pain Res. 2014;7:389–403.CrossRefPubMedPubMedCentral Lalonde L, Choiniere M, Martin E, Berbiche D, Perreault S, Lussier D. Costs of moderate to severe chronic pain in primary care patients – a study of the ACCORD program. J Pain Res. 2014;7:389–403.CrossRefPubMedPubMedCentral
10.
11.
Zurück zum Zitat Emptage NP, Sturm R, Robinson RL. Depression and comorbid pain as predictors of disability, employment, insurance status, and health care costs. Psychiatr Serv. 2005;56(4):468–74.CrossRefPubMed Emptage NP, Sturm R, Robinson RL. Depression and comorbid pain as predictors of disability, employment, insurance status, and health care costs. Psychiatr Serv. 2005;56(4):468–74.CrossRefPubMed
12.
Zurück zum Zitat Robinson MJ, Edwards SE, Iyengar S, Bymaster F, Clark M, Katon W. Depression and pain. Front Biosci. 2009;14:5031–51.CrossRef Robinson MJ, Edwards SE, Iyengar S, Bymaster F, Clark M, Katon W. Depression and pain. Front Biosci. 2009;14:5031–51.CrossRef
13.
Zurück zum Zitat Arnow BA, Hunkeler EM, Blasey CM, Lee J, Constantino MJ, Fireman B, et al. Comorbid depression, chronic pain, and disability in primary care. Psychosom Med. 2006;68(2):262–8.CrossRefPubMed Arnow BA, Hunkeler EM, Blasey CM, Lee J, Constantino MJ, Fireman B, et al. Comorbid depression, chronic pain, and disability in primary care. Psychosom Med. 2006;68(2):262–8.CrossRefPubMed
14.
Zurück zum Zitat Bao Y, Sturm R, Croghan TW. A national study of the effect of chronic pain on the use of health care by depressed persons. Psychiatr Serv. 2003;54(5):693–7.CrossRefPubMed Bao Y, Sturm R, Croghan TW. A national study of the effect of chronic pain on the use of health care by depressed persons. Psychiatr Serv. 2003;54(5):693–7.CrossRefPubMed
15.
Zurück zum Zitat Chung K-F, Tso K-C, Yeung W-F, Li W-H. Quality of life in major depressive disorder: the role of pain and pain catastrophizing cognition. Compr Psychiatry. 2012;53(4):387–95.CrossRefPubMed Chung K-F, Tso K-C, Yeung W-F, Li W-H. Quality of life in major depressive disorder: the role of pain and pain catastrophizing cognition. Compr Psychiatry. 2012;53(4):387–95.CrossRefPubMed
16.
Zurück zum Zitat Kassam A, Patten SB. Major depression, fibromyalgia and labour force participation: a population-based cross-sectional study. BMC Musculoskelet Disord. 2006;7:4.CrossRefPubMedPubMedCentral Kassam A, Patten SB. Major depression, fibromyalgia and labour force participation: a population-based cross-sectional study. BMC Musculoskelet Disord. 2006;7:4.CrossRefPubMedPubMedCentral
17.
Zurück zum Zitat Greenberg PE, Leong SA, Birnbaum HG, Robinson RL. The economic burden of depression with painful symptoms. J Clin Psychiatry. 2003;64 Suppl 7:17–23.PubMed Greenberg PE, Leong SA, Birnbaum HG, Robinson RL. The economic burden of depression with painful symptoms. J Clin Psychiatry. 2003;64 Suppl 7:17–23.PubMed
18.
Zurück zum Zitat Watson L, Baird J, Hosel V, Peveler R. The effect of concurrent pain on the management of patients with depression: an analysis of NHS healthcare resource utilisation using the GPRD database. Int J Clin Pract. 2009;63(5):698–706.CrossRefPubMed Watson L, Baird J, Hosel V, Peveler R. The effect of concurrent pain on the management of patients with depression: an analysis of NHS healthcare resource utilisation using the GPRD database. Int J Clin Pract. 2009;63(5):698–706.CrossRefPubMed
19.
Zurück zum Zitat Zhu B, Zhao Z, Ye W, Marciniak MD, Swindle R. The cost of comorbid depression and pain for individuals diagnosed with generalized anxiety disorder. J Nerv Ment Dis. 2009;197(2):136–9.CrossRefPubMed Zhu B, Zhao Z, Ye W, Marciniak MD, Swindle R. The cost of comorbid depression and pain for individuals diagnosed with generalized anxiety disorder. J Nerv Ment Dis. 2009;197(2):136–9.CrossRefPubMed
20.
Zurück zum Zitat Otsubo T, Nakahara N, Cai Z, Peng X, Sugihara T, Faries DE, et al. The comorbidity of depression and pain disorders: A retrospective claims study in Japan. Diagnosis Treatment. 2012;100:171–8. No12. Otsubo T, Nakahara N, Cai Z, Peng X, Sugihara T, Faries DE, et al. The comorbidity of depression and pain disorders: A retrospective claims study in Japan. Diagnosis Treatment. 2012;100:171–8. No12.
21.
Zurück zum Zitat Kroenke K, Shen J, Oxman TE, Williams JW, Dietrich AJ. Impact of pain on the outcomes of depression treatment: results from the RESPECT trial. Pain. 2008;134:209–15.CrossRefPubMed Kroenke K, Shen J, Oxman TE, Williams JW, Dietrich AJ. Impact of pain on the outcomes of depression treatment: results from the RESPECT trial. Pain. 2008;134:209–15.CrossRefPubMed
22.
Zurück zum Zitat Ang QQ, Wing YK, He Y, Sulaiman AH, Chiu NY, She YC, et al. Association between painful physical symptoms and clinical outcomes in East Asian patients with major depressive disorder: a 3-month prospective obser- vational study. Int J Clin Pract. 2009;63:1041–9.CrossRefPubMed Ang QQ, Wing YK, He Y, Sulaiman AH, Chiu NY, She YC, et al. Association between painful physical symptoms and clinical outcomes in East Asian patients with major depressive disorder: a 3-month prospective obser- vational study. Int J Clin Pract. 2009;63:1041–9.CrossRefPubMed
23.
Zurück zum Zitat Novick D, Montgomery W, Kadziola Z, Moneta V, Peng X, Brugnoli R, et al. Do concomitant pain symptoms in patients with major depression affect quality of life even when taking into account baseline depression severity? Patient Prefer Adherence. 2013;7:463–70.CrossRefPubMedPubMedCentral Novick D, Montgomery W, Kadziola Z, Moneta V, Peng X, Brugnoli R, et al. Do concomitant pain symptoms in patients with major depression affect quality of life even when taking into account baseline depression severity? Patient Prefer Adherence. 2013;7:463–70.CrossRefPubMedPubMedCentral
24.
Zurück zum Zitat Novick D, Montgomery W, Kadziola Z, Moneta V, Peng X, Brugnoli R, et al. Which somatic symptoms are associated with an unfavorable course in Asian patients with major depressive disorder? J Affect Disord. 2013;149:182–8.CrossRefPubMed Novick D, Montgomery W, Kadziola Z, Moneta V, Peng X, Brugnoli R, et al. Which somatic symptoms are associated with an unfavorable course in Asian patients with major depressive disorder? J Affect Disord. 2013;149:182–8.CrossRefPubMed
26.
Zurück zum Zitat Ware J, Kosinski M, Turner-Bowker DM, Gandek B. SF-12v2®: How to score version 2 of the SF-12 health survey. Lincoln, RI, USA: QualityMetric Incorporated; 2002. Ware J, Kosinski M, Turner-Bowker DM, Gandek B. SF-12v2®: How to score version 2 of the SF-12 health survey. Lincoln, RI, USA: QualityMetric Incorporated; 2002.
27.
Zurück zum Zitat Maruish ME. User’s Manual for the SF-36v2® Health Survey. 3rd ed. Lincoln, RI, USA: QualityMetric Incorporated; 2011 Maruish ME. User’s Manual for the SF-36v2® Health Survey. 3rd ed. Lincoln, RI, USA: QualityMetric Incorporated; 2011
28.
Zurück zum Zitat Brazier JE, Roberts J. The estimation of a preference-based measure of health from the SF-12. Med Care. 2004;42(9):851–9.CrossRefPubMed Brazier JE, Roberts J. The estimation of a preference-based measure of health from the SF-12. Med Care. 2004;42(9):851–9.CrossRefPubMed
29.
Zurück zum Zitat Reilly MC, Zbrozek AS, Dukes EM. The validity and reproducibility of a work productivity and activity impairment instrument. Pharmacoeconomics. 1993;4(5):353–65.CrossRefPubMed Reilly MC, Zbrozek AS, Dukes EM. The validity and reproducibility of a work productivity and activity impairment instrument. Pharmacoeconomics. 1993;4(5):353–65.CrossRefPubMed
30.
Zurück zum Zitat Walters SJ, Brazier JE. What is the relationship between the minimally important difference and health state utility values? The case of the SF-6D. Health Qual Life Outcomes. 2003;1:4.CrossRefPubMedPubMedCentral Walters SJ, Brazier JE. What is the relationship between the minimally important difference and health state utility values? The case of the SF-6D. Health Qual Life Outcomes. 2003;1:4.CrossRefPubMedPubMedCentral
31.
Zurück zum Zitat Kroenke K, Spitzer RL, Williams JB, Linzer M, Hahn SR, de Gruy 3rd FV, et al. Physical symptoms in primary care. Predictors of psychiatric disorders and functional impairment. Arch Fam Med. 1994;3:774–9.CrossRefPubMed Kroenke K, Spitzer RL, Williams JB, Linzer M, Hahn SR, de Gruy 3rd FV, et al. Physical symptoms in primary care. Predictors of psychiatric disorders and functional impairment. Arch Fam Med. 1994;3:774–9.CrossRefPubMed
Metadaten
Titel
The incremental burden of pain in patients with depression: results of a Japanese survey
verfasst von
Jeffrey Vietri
Tempei Otsubo
William Montgomery
Toshinaga Tsuji
Eiji Harada
Publikationsdatum
01.12.2015
Verlag
BioMed Central
Erschienen in
BMC Psychiatry / Ausgabe 1/2015
Elektronische ISSN: 1471-244X
DOI
https://doi.org/10.1186/s12888-015-0488-8

Weitere Artikel der Ausgabe 1/2015

BMC Psychiatry 1/2015 Zur Ausgabe

Wartezeit nicht kürzer, aber Arbeit flexibler

Psychotherapie Medizin aktuell

Fünf Jahren nach der Neugestaltung der Psychotherapie-Richtlinie wurden jetzt die Effekte der vorgenommenen Änderungen ausgewertet. Das Hauptziel der Novellierung war eine kürzere Wartezeit auf Therapieplätze. Dieses Ziel wurde nicht erreicht, es gab jedoch positive Auswirkungen auf andere Bereiche.

Chirurginnen und Chirurgen sind stark suizidgefährdet

07.05.2024 Suizid Nachrichten

Der belastende Arbeitsalltag wirkt sich negativ auf die psychische Gesundheit der Angehörigen ärztlicher Berufsgruppen aus. Chirurginnen und Chirurgen bilden da keine Ausnahme, im Gegenteil.

Ein Drittel der jungen Ärztinnen und Ärzte erwägt abzuwandern

07.05.2024 Medizinstudium Nachrichten

Extreme Arbeitsverdichtung und kaum Supervision: Dr. Andrea Martini, Sprecherin des Bündnisses Junge Ärztinnen und Ärzte (BJÄ) über den Frust des ärztlichen Nachwuchses und die Vorteile des Rucksack-Modells.

Endlich: Zi zeigt, mit welchen PVS Praxen zufrieden sind

IT für Ärzte Nachrichten

Darauf haben viele Praxen gewartet: Das Zi hat eine Liste von Praxisverwaltungssystemen veröffentlicht, die von Nutzern positiv bewertet werden. Eine gute Grundlage für wechselwillige Ärztinnen und Psychotherapeuten.