Research Article

Clinically Diagnosed Insomnia and Risk of All-Cause and Diagnosis-Specific Disability Pension: A Nationwide Cohort Study

Table 1

Number of participants, person-years, all incident disability pensions (DPs), and incidence rates (IRs) by the adjusted factors.

No. of exposed (%)
(insomnia)b
No. of participants (%)aPerson-yearsNo. of incident DPsIRc

Age groups (year); Dec. 31, 2005
 17–2453 (>0)846,146 (17)4,133,74115,0263.64
 25–3497 (>0)1,100,539 (22)5,359,64512,7572.38
 35–44138 (>0)1,182,671 (23)5,760,79726,2224.55
 45–54196 (>0)1,012,125 (20)4,889,72337,9017.75
 55–64148 (>0)887,441 (18)3,601,90750,28613.96
Sex; Dec. 31, 2005
 Male321 (>0)2,611,409 (52)12,352,58559,8814.85
 Female311 (>0)2,417,513 (48)11,393,22982,3117.22
Education; Dec. 31, 2005d
 High educational level (more than 12 years)226 (>0)1,681,493 (33)4,236,61029,9183.73
 Medium educational level (10–12 years)295 (>0)2,379,667 (47)11,313,52568,0076.01
 Low educational level (0–9 years)110 (>0)919,722 (18)8,010,68039,4649.32
 Missing48,040 (1)
Region of residence; Dec. 31, 2005e
 Larger cities257 (>0)1,896,500 (38)8,968,37044,1424.92
 Medium sized cities215 (>0)1,806,371 (36)8,537,51154,0476.33
 Smaller cities/rural areas160 (>0)1,326,051 (26)6,239,93444,0037.05
Prior sickness absence; 2003–2005
 No sickness benefits319 (>0)3,949,089 (79)18,891,10839,9622.12
 1–179 reimbursed sick-leave days137 (>0)833,572 (17)3,943,00527,1936.90
 180+ reimbursed sick-leave days176 (>0)246,261 (5)911,70075,03782.30
Inpatient care; admission: 2000–2005
 0 hospitalization days239 (>0)3,897,245 (78)18,549,91375,1994.05
 ≤median summarized hospitalization days160 (>0)613,853 (12)2,886,23222,6497.85
 >median summarized hospitalization days233 (>0)517,824 (10)2,309,66844,34419.20
Outpatient care; 2001–2005
 0 specialist visits 15 (>0)1,823,960 (36)8,718,62718,2162.09
 ≤median summarized specialist visits186 (>0)1,836,577 (37)8,759,80737,1824.24
 >median summarized specialist visits 431 (>0)1,368,385 (27)6,267,38086,79413.86
Antipsychotics, anxiolytics, hypnotics, and sedatives combinedf; July–Dec. 2005
 No prescribed medications380 (>0)4,801,705 (95)22,792,763107,7884.73
 At least one purchase of prescribed medications252 (>0)227,217 (5)953,05134,40436.10

Total (missing excluded)5675,028,922 (4,980,882)

Observations with missing data on any characteristic included in the study were excluded from the estimation of person-years, number of incident DPs and IRs.
Insomnia in-/outpatient care (ICD-10: G47.0, main/secondary diagnosis).
IRs per 100,000 person-years for all-cause DP; follow-up, 2006–2010.
Statistics Sweden derives the attained “highest education” based on information regarding education according to the Swedish Standard Classification of Education. We classified SES based on education into three commonly used categories.
“Region of residence” is based on “H-regions,” that is, homogenous regions regarding the population base, a categorization by Statistics Sweden based on municipalities according to the local and regional population bases following the scale urban-rural. We categorized these regions into three categories.
The Swedish Prescribed Drug Register contains data on drugs (ATC codes) but lacks information on indication of treatment, which prohibits identification of specific disease groups and it is not possible to link drugs bought over-the-counter to individual persons.