Abstract
Background
This study describes the association between unemployment and cause-specific mortality for a cohort of working-age Canadians.
Methods
We conducted a cohort study over an 11-year period among a broadly representative 15% sample of the non-institutionalized population of Canada aged 30–69 at cohort inception in 1991 (888,000 men and 711,600 women who were occupationally active). We used cox proportional hazard models, for six cause of death categories, two consecutive multi-year periods and four age groups, to estimate mortality hazard ratios comparing unemployed to employed men and women.
Results
For persons unemployed at cohort inception, the age-adjusted hazard ratio for all-cause mortality was 1.37 for men (95% confidence interval (CI): 1.32-1.41) and 1.27 for women (95% CI: 1.20-1.35). The age-adjusted hazard ratio for unemployed men and women was elevated for all six causes of death: malignant neoplasms, circulatory diseases, respiratory diseases, alcohol-related diseases, accidents and violence, and all other causes. For unemployed men and women, hazard ratios for all-cause mortality were equivalently elevated in 1991–1996 and 1997–2001. For both men and women, the mortality hazard ratio associated with unemployment attenuated with age.
Conclusions
Consistent with results reported from other long-duration cohort studies, unemployed men and women in this cohort had an elevated risk of mortality for accidents and violence, as well as for chronic diseases. The persistence of elevated mortality risks over two consecutive multi-year periods suggests that exposure to unemployment in 1991 may have marked persons at risk of cumulative socioeconomic hardship.
Keywords: Unemployment, Mortality, Occupational health
Background
Socioeconomic gradients in health, disability and mortality continue to exist in developed economies, including Canada [1]. Experiences and exposures arising from labour force participation are an important potential contributor to the pervasive socioeconomic gradient in life expectancy, where workers in low-skill and low-wage occupations have higher mortality than workers in high-skilled, high-wage occupations [2-6]. Involuntary loss of employment is one such potential exposure. A substantial body of research estimates the consequences to individual physical and mental health of (as well as behavioral responses to) exposure to unemployment [2,7-13]. Moreover, many developed economies are experiencing their sharpest increases in unemployment in more than 50 years, renewing concerns about the impact of unemployment on the health of working age adults [14-17].
Research on the relationship between unemployment and health examines a range of hypotheses concerning pathways and mechanisms for work-related health effects, ranging from the economic consequences of job loss to the disruptions of social ties, by which involuntary loss of employment might lead to disturbance in physical and mental health and function [13,14,18,19]. The evidence of health effects arising from unemployment is sufficiently robust to conclude that a portion of the association is causal: nonetheless, confirming a causal attribution of health consequences following unemployment to the direct or indirect effects of the exposure to unemployment poses a significant challenge [20]. In settings where working-age adults in poorer health are more likely to become unemployed, an association between unemployment and poor health may be primarily due to health selection into unemployment [21]. Long-duration mortality follow-up studies have been valuable in estimating the magnitude of potential health selection effects, by comparing mortality rates in the early follow-up period to mortality rates in a later follow-up period [7,22]. An alternate research design contrasts the relationship between unemployment and mortality in periods of low and high unemployment, under the hypothesis that those who are unemployed during periods of low unemployment are more likely to have pre-existing ill-health than those who are unemployed during periods of high unemployment [23].
Most developed countries use large, nationally-representative population-based cohort studies of mortality to monitor population health, linking records for national census respondents to vital statistics death registrations [2,24-27]. In this study, we relied on a census-based cohort established by linking a 15% sample of 1991 census respondents to the Canadian Mortality Data Base to describe, for the first time in Canada, the association between unemployment and all-cause and cause-specific mortality for a broadly representative sample of occupationally-active adults in Canada [1]. We had three hypotheses: 1) the relative risk of all-cause mortality among the unemployed would be greater in the initial years following unemployment compared to later years, 2) the relative risk of mortality among the unemployed would be greater for causes of death which are more likely to be acute consequence of exposure (such as accidents, violence and alcohol-related causes) and 3) there would be no difference by age in the relative risk of mortality among the unemployed.
Methods
Study design
The study is based on a cohort consisting of a 15% sample of the non-institutionalized population of Canada aged 25 years and over at the time of cohort inception in 1991. The cohort was followed for mortality until the end of 2001.
Study population and study sample
The Canadian census mortality follow-up study is broadly representative of the non-institutional population of Canada in 1991 [1]. We selected cohort members from among the approximately 20% of households who completed a “long-form” census questionnaire in 1991. To ascertain date and cause of death over the follow-up period (from 4 June 1991 to 31 December 2001), we linked records for long-form census respondents to mortality records. For the specific purpose of this study, reporting on the association between unemployment and the risk of mortality, we restricted the study sample to individuals aged 30 to 69 at baseline who had worked one or more weeks in the period 1 January 1990 through 3 June 1991. This represented 1,488,800 persons who were employed on census day (826,600 men and 662,200 women), and 110,800 who were unemployed (61,400 men and 49,400 women).
Measures
In this report, we describe the relationship between unemployment and mortality by occupational categories, where occupations were grouped into five ordinally-ranked occupational skill levels (professional, managerial, skilled/technical/supervisory, semi-skilled, unskilled) based on the 1990 National Occupational Classification [28]. We also describe the relationship between unemployment and mortality according to baseline age, marital status, immigration status, educational attainment, and industry.
The underlying cause of death is coded to the World Health Organization’s International Classification of Diseases, Ninth Revision (ICD-9) [29] for deaths occurring in the period 1991 through 1999, and to the Tenth Revision (ICD-10) [30] for deaths occurring in 2000 or 2001. We classified causes of death as malignant neoplasms (stomach, lung, intestine and rectum, other cancers), circulatory diseases (acute myocardial infarction, other ischaemic heart disease, cerebro-vascular disease, other circulatory diseases), respiratory diseases, alcohol-related diseases, accidents and violence (suicide, homicide, traffic accidents, falls, other accidents and violence), and all other causes. Details of our groupings of causes of death are provided in Appendix.
Statistical analysis
For each member of the cohort, we calculated person-days of follow-up from the beginning of the study (census day, 4 June 1991) to the date of death, emigration (ascertained from the name file and known for 1991 only), or end of the study (31 December 2001). Person-days of follow-up were then divided by 365.25 to get person-years at risk.
Age-standardized mortality rates were calculated by the direct method, with 1991 mid-year population estimates used as the standard population. We used cox proportional hazards models to estimate mortality hazard ratios comparing the unemployed to the employed. Models were estimated for all-cause and cause-specific mortality. Men and women were modelled separately. Models were also estimated for two consecutive periods of follow-up time (1991–1996, and 1997–2001) and for four age groups (30–39, 40–49, 50–59, 60–69 years at baseline). All models were estimated first with age-adjustment only (age in years), and then adjusted for age, marital status, immigration status, occupational skill level, educational attainment, and industry.
The Canadian census mortality follow-up study was approved by the Statistics Canada Policy Committee and was reviewed and approved by the Health Sciences I Research Ethics Board of the University of Toronto. At the time analyses reported in this paper were conducted, access to Canadian census mortality follow-up study database was restricted to employees or deemed employees of Statistics Canada.
Results
The rate of unemployment in 1991 in this cohort of occupationally-active adults aged 30–69 was 6.9% for men and 6.9% for women. For both men and women, the percentage of the labour force unemployed on census day was higher among persons with lower levels of occupational skill, lower levels of educational attainment and more recent immigration to Canada (Tables 1 and 2).
Table 1.
Person-years | Deaths | ASMR* | 95% confidence interval | Percent unemployed in 1991 | ||
---|---|---|---|---|---|---|
Total, men |
9,195,040 |
41,680 |
643.6 |
636.8 |
−649.8 |
6.9 |
Employment status |
|
|
|
|
|
|
Employed |
8,562,680 |
37,974 |
632.3 |
624.5 |
- 640.3 |
0.0 |
Unemployed |
632,360 |
3,706 |
796.2 |
762.3 |
- 831.6 |
100.0 |
Occupational skill level |
|
|
|
|
|
|
Professional |
1,245,710 |
3,851 |
491.9 |
473.1 |
- 511.4 |
2.6 |
Managerial |
1,436,590 |
5,377 |
549.5 |
530.9 |
- 568.7 |
2.9 |
Skilled/Technical/Supervisory |
2,400,490 |
12,014 |
719.4 |
702.5 |
- 736.6 |
9.0 |
Semi-skilled |
3,240,000 |
14,675 |
637.4 |
625.0 |
- 650.1 |
7.2 |
Unskilled |
872,240 |
5,763 |
795.3 |
771.7 |
- 819.7 |
12.7 |
Educational attainment |
|
|
|
|
|
|
Less than secondary graduation |
2,665,220 |
18,578 |
751.9 |
739.5 |
- 764.5 |
10.1 |
Secondary graduation |
3,651,220 |
15,012 |
645.0 |
631.1 |
- 659.3 |
7.1 |
Postsecondary diploma |
1,265,390 |
3,808 |
541.3 |
518.1 |
- 565.4 |
4.9 |
University degree |
1,613,200 |
4,282 |
446.7 |
430.4 |
- 463.6 |
2.8 |
Marital status |
|
|
|
|
|
|
Legally married |
7,176,880 |
31,000 |
587.4 |
579.4 |
- 595.5 |
5.8 |
Common-law |
625,830 |
2,279 |
846.6 |
785.3 |
- 912.7 |
10.3 |
Widowed |
52,010 |
830 |
954.0 |
868.5 |
- 1,048.0 |
8.9 |
Separated |
183,020 |
1,088 |
861.3 |
796.2 |
- 931.7 |
10.2 |
Divorced |
330,430 |
2,432 |
978.3 |
926.2 |
- 1,033.4 |
10.8 |
Never married |
826,860 |
4,051 |
951.0 |
913.7 |
- 989.8 |
12.0 |
Year of immigration |
|
|
|
|
|
|
Non-immigrant |
7,196,000 |
33,235 |
693.7 |
684.4 |
- 703.2 |
6.9 |
Before 1971 |
1,044,090 |
6,177 |
537.8 |
522.0 |
- 554.1 |
5.8 |
1971-1980 |
517,200 |
1,448 |
457.6 |
421.9 |
- 496.3 |
6.3 |
1981-1991 |
394,430 |
753 |
405.0 |
370.3 |
- 442.8 |
10.9 |
Non-permanent resident |
43,320 |
67 |
457.9 |
312.5 |
- 670.9 |
10.2 |
Industry sector |
|
|
|
|
|
|
Primary |
779,450 |
4,397 |
648.5 |
629.0 |
- 668.7 |
8.7 |
Manufacturing |
1,837,110 |
7,834 |
637.4 |
616.3 |
- 659.2 |
7.7 |
Construction |
925,060 |
4,185 |
657.7 |
629.6 |
- 686.9 |
16.0 |
Transportation, storage, communication, utilities |
1,042,830 |
4,563 |
664.6 |
636.2 |
- 694.4 |
5.2 |
Trade |
1,310,150 |
5,915 |
660.2 |
639.6 |
- 681.4 |
5.5 |
Finance, insurance, real estate |
897,990 |
4,006 |
611.9 |
591.5 |
- 633.1 |
4.5 |
Government |
886,670 |
3,807 |
679.6 |
649.5 |
- 711.2 |
4.2 |
Other service industries | 1,515,760 | 6,973 | 610.7 | 593.7 | - 628.1 | 4.9 |
* ASMR: Age-standardized mortality rate per 100,000 person-years at risk.
Table 2.
Person-years | Deaths | ASMR* | 95% confidence interval | Percent unemployed in 1991 | ||
---|---|---|---|---|---|---|
Total, women |
7,749,960 |
16,084 |
338.9 |
332.6 |
−345.3 |
6.9 |
Employment status |
|
|
|
|
|
|
Employed |
6,934,000 |
14,769 |
335.5 |
328.0 |
- 343.2 |
0.0 |
Unemployed |
515,960 |
1,315 |
384.3 |
353.8 |
- 417.5 |
100.0 |
Occupational skill level |
|
|
|
|
|
|
Professional |
1,319,460 |
2,095 |
278.4 |
258.6 |
- 299.8 |
3.5 |
Managerial |
551,460 |
1,120 |
337.4 |
309.7 |
- 367.6 |
4.5 |
Skilled/Technical/Supervisory |
2,760,800 |
6,237 |
346.0 |
334.1 |
- 358.3 |
8.4 |
Semi-skilled |
2,061,580 |
4,443 |
336.6 |
323.9 |
- 349.8 |
6.1 |
Unskilled |
756,660 |
2,189 |
397.9 |
375.0 |
- 422.2 |
11.5 |
Educational attainment |
|
|
|
|
|
|
Less than secondary graduation |
1,877,820 |
5,974 |
383.2 |
370.9 |
- 395.8 |
9.6 |
Secondary graduation |
2,831,380 |
5,678 |
337.5 |
324.9 |
- 350.7 |
7.1 |
Postsecondary diploma |
1,634,960 |
2,941 |
313.2 |
296.6 |
- 330.8 |
5.4 |
University degree |
1,105,800 |
1,491 |
252.8 |
233.1 |
- 274.2 |
4.2 |
Marital status |
|
|
|
|
|
|
Legally married |
5,264,650 |
9,988 |
304.9 |
295.8 |
- 314.2 |
6.7 |
Common-law |
508,880 |
830 |
379.2 |
314.6 |
- 457.0 |
9.0 |
Widowed |
203,190 |
1,340 |
424.4 |
394.5 |
- 456.6 |
7.3 |
Separated |
235,720 |
599 |
411.8 |
364.2 |
- 465.7 |
8.4 |
Divorced |
538,630 |
1,668 |
406.8 |
379.0 |
- 436.6 |
7.1 |
Never married |
698,880 |
1,659 |
399.0 |
375.0 |
- 424.6 |
6.2 |
Year of immigration |
|
|
|
|
|
|
Non-immigrant |
5,895,110 |
12,998 |
357.9 |
349.1 |
- 366.9 |
6.8 |
Before 1971 |
770,350 |
2,129 |
300.8 |
285.1 |
- 317.3 |
6.0 |
1971-1980 |
441,380 |
589 |
243.8 |
210.3 |
- 282.5 |
7.2 |
1981-1991 |
312,450 |
331 |
221.3 |
189.3 |
- 258.7 |
11.3 |
Non-permanent resident |
30,680 |
37 |
348.3 |
211.5 |
- 573.5 |
10.9 |
Industry sector |
|
|
|
|
|
|
Primary |
270,450 |
726 |
325.5 |
301.1 |
- 351.8 |
7.7 |
Manufacturing |
757,690 |
1,590 |
302.7 |
279.7 |
- 327.6 |
12.5 |
Construction |
133,020 |
314 |
372.0 |
320.1 |
- 432.4 |
11.5 |
Transportation, storage, communication, utilities |
351,560 |
670 |
384.8 |
334.0 |
- 443.3 |
5.9 |
Trade |
1,120,570 |
2,621 |
336.8 |
320.0 |
- 354.3 |
8.0 |
Finance, insurance, real estate |
989,910 |
1,910 |
352.5 |
331.3 |
- 375.1 |
6.2 |
Government |
621,640 |
1,346 |
377.4 |
346.4 |
- 411.2 |
5.8 |
Other service industries | 3,205,130 | 6,907 | 335.1 | 323.9 | - 346.8 | 5.6 |
* ASMR: Age-standardized mortality rate per 100,000 person-years at risk.
Compared to persons who were employed on census day, the age-adjusted hazard ratio for all-cause mortality over the eleven-year follow-up period for persons unemployed on census day in 1991 was 1.37 for men (95% confidence interval (CI): 1.32-1.41) (Table 3) and 1.27 for women (95% CI: 1.20-1.35) (Table 4). For both men and women, the age-adjusted hazard ratio for all-cause mortality in the first six years of follow-up (1991–1996) was equivalent to the age-adjusted hazard ratio in the last five years of follow-up (1997–2001).
Table 3.
|
1991-1996 |
1997-2001 |
1991-2001 |
||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Deaths |
Controlling for age |
Controlling for all variables (1) |
Deaths |
Controlling for age |
Controlling for all variables (1) |
Deaths |
Controlling for age |
Controlling for all variables (1) |
||||||||||||
HR | 95% CI | HR | 95% CI | HR | 95% CI | HR | 95% CI | HR | 95% CI | HR | 95% CI | ||||||||||
All causes of death |
17,923 |
1.36 |
1.29 |
−1.43 |
1.22 |
1.15 |
−1.28 |
23,757 |
1.37 |
1.31 |
−1.43 |
1.22 |
1.17 |
−1.28 |
41,680 |
1.37 |
1.32 |
−1.41 |
1.22 |
1.18 |
−1.26 |
Malignant neoplasms |
7071 |
1.19 |
1.09 |
−1.30 |
1.10 |
1.01 |
−1.21 |
10,079 |
1.28 |
1.19 |
−1.37 |
1.17 |
1.09 |
−1.26 |
17,150 |
1.24 |
1.18 |
−1.31 |
1.14 |
1.08 |
−1.21 |
Stomach cancer |
529 |
1.54 |
1.16 |
−2.05 |
1.45 |
1.08 |
−1.94 |
732 |
1.17 |
0.89 |
−1.54 |
1.06 |
0.80 |
−1.40 |
1,261 |
1.33 |
1.09 |
−1.61 |
1.22 |
1.00 |
−1.49 |
Lung cancer |
2,248 |
1.18 |
1.01 |
−1.38 |
1.01 |
0.86 |
−1.18 |
3,091 |
1.44 |
1.28 |
−1.63 |
1.19 |
1.05 |
−1.35 |
5,339 |
1.33 |
1.21 |
−1.46 |
1.11 |
1.01 |
−1.23 |
Cancer of intestine and rectum |
908 |
0.92 |
0.70 |
−1.21 |
0.91 |
0.69 |
−1.20 |
1,302 |
1.22 |
1.00 |
−1.50 |
1.18 |
0.96 |
−1.45 |
2,210 |
1.10 |
0.93 |
−1.29 |
1.07 |
0.91 |
−1.26 |
Other cancers |
3,386 |
1.21 |
1.07 |
−1.37 |
1.18 |
1.04 |
−1.33 |
4,954 |
1.21 |
1.09 |
−1.34 |
1.17 |
1.05 |
−1.30 |
8,340 |
1.21 |
1.12 |
−1.31 |
1.17 |
1.08 |
−1.27 |
Circulatory diseases |
5,474 |
1.19 |
1.08 |
−1.32 |
1.09 |
0.98 |
−1.20 |
7,208 |
1.24 |
1.14 |
−1.35 |
1.13 |
1.03 |
−1.23 |
12,682 |
1.22 |
1.14 |
−1.30 |
1.11 |
1.04 |
−1.18 |
Acute myocardial infarction |
2,405 |
1.11 |
0.95 |
−1.29 |
1.02 |
0.87 |
−1.19 |
2,716 |
1.21 |
1.05 |
−1.40 |
1.11 |
0.96 |
−1.28 |
5,121 |
1.16 |
1.05 |
−1.29 |
1.07 |
0.96 |
−1.18 |
Other ischaemic heart disease |
1,538 |
1.13 |
0.93 |
−1.37 |
1.03 |
0.85 |
−1.25 |
2,154 |
1.31 |
1.12 |
−1.52 |
1.17 |
1.00 |
−1.36 |
3,692 |
1.23 |
1.09 |
−1.39 |
1.11 |
0.98 |
−1.25 |
Cerebro-vascular disease |
553 |
1.35 |
1.00 |
−1.81 |
1.17 |
0.86 |
−1.58 |
863 |
1.29 |
1.01 |
−1.64 |
1.19 |
0.93 |
−1.52 |
1,416 |
1.31 |
1.09 |
−1.58 |
1.18 |
0.98 |
−1.43 |
Other circulatory diseases |
978 |
1.42 |
1.14 |
−1.76 |
1.31 |
1.05 |
−1.63 |
1,475 |
1.17 |
0.97 |
−1.42 |
1.06 |
0.88 |
−1.29 |
2,453 |
1.27 |
1.10 |
−1.46 |
1.16 |
1.00 |
−1.34 |
Respiratory diseases |
406 |
1.50 |
1.07 |
−2.08 |
1.34 |
0.95 |
−1.87 |
974 |
1.44 |
1.16 |
−1.78 |
1.22 |
0.98 |
−1.52 |
1,380 |
1.45 |
1.21 |
−1.74 |
1.25 |
1.04 |
−1.51 |
Alcohol-related diseases |
400 |
2.14 |
1.60 |
−2.85 |
1.54 |
1.15 |
−2.07 |
526 |
2.33 |
1.82 |
−2.98 |
1.84 |
1.43 |
−2.37 |
926 |
2.25 |
1.86 |
−2.71 |
1.70 |
1.40 |
−2.06 |
Accidents and violence |
2,382 |
2.01 |
1.78 |
−2.26 |
1.59 |
1.40 |
−1.80 |
2,114 |
1.88 |
1.65 |
−2.14 |
1.51 |
1.32 |
−1.72 |
4,496 |
1.94 |
1.78 |
−2.12 |
1.55 |
1.42 |
−1.70 |
Suicide |
943 |
1.94 |
1.60 |
−2.35 |
1.58 |
1.30 |
−1.93 |
879 |
1.81 |
1.47 |
−2.22 |
1.44 |
1.17 |
−1.78 |
1822 |
1.87 |
1.63 |
−2.16 |
1.51 |
1.31 |
−1.75 |
Homicide |
87 |
2.78 |
1.59 |
−4.85 |
2.10 |
1.18 |
−3.73 |
50 |
2.17 |
0.98 |
−4.83 |
1.44 |
0.63 |
−3.29 |
137 |
2.55 |
1.62 |
−4.03 |
1.83 |
1.15 |
−1.94 |
Traffic accidents |
611 |
1.67 |
1.29 |
−2.14 |
1.35 |
1.04 |
−1.75 |
454 |
1.51 |
1.11 |
−2.05 |
1.26 |
0.92 |
−1.73 |
1065 |
1.60 |
1.32 |
−1.94 |
1.31 |
1.07 |
−1.60 |
Falls |
104 |
3.68 |
2.29 |
−5.89 |
2.80 |
1.71 |
−4.58 |
163 |
1.73 |
1.06 |
−2.83 |
1.49 |
0.90 |
−2.47 |
267 |
2.44 |
1.75 |
−3.42 |
2.00 |
1.41 |
−2.83 |
Other accidents and violence |
637 |
2.10 |
1.67 |
−2.63 |
1.58 |
1.25 |
−2.00 |
568 |
2.31 |
1.82 |
−2.91 |
1.81 |
1.42 |
−2.30 |
1205 |
2.20 |
1.86 |
−2.58 |
1.69 |
1.42 |
−1.99 |
All other causes | 2,590 | 1.60 | 1.41 | −1.82 | 1.33 | 1.17 | −1.51 | 3,382 | 1.58 | 1.41 | −1.77 | 1.36 | 1.22 | −1.53 | 5,972 | 1.59 | 1.46 | −1.73 | 1.35 | 1.24 | −1.47 |
(1) Adjusted for age, occupational skill level, educational attainment, marital status, year of immigration, and industry sector.
See Appendix for grouping of causes of death by ICD codes.
Table 4.
|
1991-1996 |
1997-2001 |
1991-2001 |
||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Deaths |
Controlling for age |
Controlling for all variables (1) |
Deaths |
Controlling for age |
Controlling for all variables (1) |
Deaths |
Controlling for age |
Controlling for all variables (1) |
||||||||||||
HR | 95% CI | HR | 95% CI | HR | 95% CI | HR | 95% CI | HR | 95% CI | HR | 95% CI | ||||||||||
All causes of death |
6,742 |
1.27 |
1.16 |
−1.39 |
1.25 |
1.14 |
−1.36 |
9,342 |
1.27 |
1.18 |
−1.37 |
1.23 |
1.14 |
−1.32 |
16,084 |
1.27 |
1.20 |
−1.35 |
1.24 |
1.17 |
−1.31 |
Malignant neoplasms |
4,168 |
1.11 |
0.99 |
−1.25 |
1.11 |
0.99 |
−1.25 |
5,576 |
1.10 |
0.99 |
−1.22 |
1.08 |
0.97 |
−1.19 |
9,744 |
1.10 |
1.02 |
−1.19 |
1.09 |
1.01 |
−1.18 |
Stomach cancer |
131 |
1.18 |
0.62 |
−2.24 |
1.14 |
0.59 |
−2.19 |
172 |
0.70 |
0.34 |
−1.42 |
0.67 |
0.33 |
−1.37 |
303 |
0.90 |
0.56 |
−1.45 |
0.87 |
0.54 |
−1.40 |
Lung cancer |
884 |
1.24 |
0.97 |
−1.59 |
1.14 |
0.89 |
−1.46 |
1,321 |
1.45 |
1.20 |
−1.75 |
1.33 |
1.10 |
−1.60 |
2,205 |
1.37 |
1.18 |
−1.59 |
1.25 |
1.08 |
−1.45 |
Cancer of intestine and rectum |
413 |
1.20 |
0.83 |
−1.72 |
1.22 |
0.85 |
−1.76 |
551 |
1.00 |
0.72 |
−1.41 |
0.99 |
0.71 |
−1.39 |
964 |
1.09 |
0.85 |
−1.39 |
1.09 |
0.85 |
−1.40 |
Other cancers |
2,740 |
1.05 |
0.91 |
−1.22 |
1.08 |
0.93 |
−1.26 |
3,532 |
1.01 |
0.88 |
−1.15 |
1.01 |
0.89 |
−1.16 |
6,272 |
1.03 |
0.93 |
−1.13 |
1.04 |
0.94 |
−1.15 |
Circulatory diseases |
1,152 |
1.26 |
1.01 |
−1.55 |
1.22 |
0.98 |
−1.51 |
1,732 |
1.48 |
1.26 |
−1.74 |
1.39 |
1.18 |
−1.64 |
2,884 |
1.39 |
1.22 |
−1.58 |
1.32 |
1.16 |
−1.50 |
Acute myocardial infarction |
348 |
1.39 |
0.95 |
−2.02 |
1.36 |
0.93 |
−1.98 |
467 |
1.41 |
1.02 |
−1.95 |
1.31 |
0.95 |
−1.81 |
815 |
1.40 |
1.10 |
−1.79 |
1.33 |
1.04 |
−1.70 |
Other ischaemic heart disease |
216 |
1.49 |
0.94 |
−2.36 |
1.39 |
0.88 |
−2.22 |
395 |
1.51 |
1.08 |
−2.13 |
1.43 |
1.02 |
−2.02 |
611 |
1.50 |
1.15 |
−1.98 |
1.42 |
1.08 |
−1.87 |
Cerebro-vascular disease |
323 |
0.94 |
0.60 |
−1.48 |
0.89 |
0.56 |
−1.40 |
409 |
1.59 |
1.15 |
−2.20 |
1.54 |
1.11 |
−2.13 |
732 |
1.30 |
1.00 |
−1.69 |
1.24 |
0.95 |
−1.62 |
Other circulatory diseases |
265 |
1.30 |
0.84 |
−2.01 |
1.32 |
0.85 |
−2.04 |
461 |
1.41 |
1.03 |
−1.95 |
1.32 |
0.95 |
−1.82 |
726 |
1.37 |
1.06 |
−1.78 |
1.32 |
1.01 |
−1.71 |
Respiratory diseases |
163 |
1.34 |
0.77 |
−2.32 |
1.29 |
0.74 |
−2.24 |
335 |
1.74 |
1.23 |
−2.46 |
1.65 |
1.17 |
−2.35 |
498 |
1.61 |
1.20 |
−2.15 |
1.53 |
1.14 |
−2.06 |
Alcohol-related diseases |
95 |
2.07 |
1.13 |
−3.79 |
1.82 |
0.98 |
−3.35 |
112 |
2.52 |
1.50 |
−4.23 |
2.17 |
1.29 |
−3.67 |
207 |
2.31 |
1.56 |
−3.42 |
2.01 |
1.35 |
−2.99 |
Accidents and violence |
560 |
2.00 |
1.56 |
−2.56 |
1.88 |
1.46 |
−2.42 |
523 |
1.44 |
1.08 |
−1.93 |
1.42 |
1.06 |
−1.91 |
1,083 |
1.73 |
1.43 |
−2.08 |
1.66 |
1.37 |
−2.01 |
Suicide |
192 |
2.20 |
1.46 |
−3.30 |
2.10 |
1.39 |
−3.17 |
186 |
1.42 |
0.88 |
−2.32 |
1.36 |
0.83 |
−2.23 |
378 |
1.81 |
1.32 |
−2.47 |
1.73 |
1.26 |
−2.37 |
Homicide (2) |
33 |
- |
- |
- |
- |
- |
- |
23 |
0.58 |
0.08 |
−4.27 |
0.54 |
0.07 |
−4.10 |
56 |
0.24 |
0.03 |
−1.71 |
0.22 |
0.03 |
−1.60 |
Traffic accidents |
182 |
1.31 |
0.78 |
−2.19 |
1.24 |
0.74 |
−2.09 |
164 |
1.09 |
0.61 |
−1.97 |
1.11 |
0.61 |
−2.01 |
346 |
1.21 |
0.82 |
−1.78 |
1.18 |
0.80 |
−1.74 |
Falls |
22 |
6.32 |
2.57 |
−15.5 |
5.07 |
2.03 |
−12.7 |
23 |
1.35 |
0.32 |
−5.77 |
1.38 |
0.32 |
−6.01 |
45 |
3.47 |
1.67 |
−7.21 |
3.16 |
1.50 |
−6.65 |
Other accidents and violence |
131 |
2.78 |
1.76 |
−4.39 |
2.60 |
1.63 |
−4.15 |
127 |
2.16 |
1.30 |
−3.60 |
2.15 |
1.28 |
−3.62 |
258 |
2.47 |
1.76 |
−3.47 |
2.39 |
1.69 |
−3.37 |
All other causes | 699 | 1.67 | 1.31 | −2.12 | 1.55 | 1.22 | −1.98 | 1,176 | 1.61 | 1.33 | −1.95 | 1.50 | 1.24 | −1.82 | 1,875 | 1.63 | 1.41 | −1.89 | 1.52 | 1.31 | −1.77 |
(1) Adjusted for age, occupational skill level, educational attainment, marital status, year of immigration, and industry sector.
(2) Hazard ratios could not be estimated from multivariate models.
See Appendix for grouping of causes of death by ICD codes.
Compared to men who were employed on census day, age-adjusted hazard ratios for unemployed men over the eleven-year follow-up period were elevated for deaths due to malignant neoplasms (1.24, 95% CI: 1.18-1.31), circulatory diseases (1.22, 95% CI: 1.14-1.30), respiratory diseases (1.45, 95% CI: 1.21-1.74), accidents and violence (1.94, 95% CI: 1.78-2.12), and all other causes (1.59, 95% CI: 1.46-1.73) (Table 3). For specific causes of accidental and violent death, eleven-year age-adjusted hazard ratios for unemployed men were significantly elevated for suicide, homicide, motor vehicle accidents, falls and other accidental causes of death. The age-adjusted hazard ratio for alcohol-related diseases was also elevated for unemployed versus employed men (2.25, 95% CI: 1.86-2.71). These risk estimates were moderately attenuated following additional adjustment for occupational skill level, educational attainment, marital status, year of immigration, and industry sector.
Compared to women who were employed on census day, age-adjusted hazard ratios for unemployed women were elevated for deaths due to malignant neoplasms (1.10, 95% CI: 1.02-1.19), circulatory diseases (1.39, 95% CI: 1.22-1.58), respiratory diseases (1.61, 95% CI: 1.20-2.15), accidents and violence (1.73, 95% CI: 1.43-2.08), and all other causes (1.63, 95% CI: 1.41-1.89) (Table 4). For specific accidental and violent causes of death, eleven-year age-adjusted hazard ratios for unemployed women were significantly elevated for suicide, falls and other accidental causes of death. The age-adjusted hazard ratio for alcohol-related diseases among unemployed women was also elevated relative to the employed (2.31, 95% CI: 1.56-3.42). These risk estimates were moderately attenuated following additional adjustment for occupational skill level, educational attainment, marital status, year of immigration, and industry sector.
For both unemployed men and unemployed women, hazard ratios for all-cause mortality were equivalently elevated over the two consecutive multi-year follow-up periods (1991–1996 and 1997–2001) in both age-adjusted and fully-adjusted models.
Table 5 reports hazard ratios for unemployed men and women for all-cause and cause-specific mortality for four age groups. For both men and women, there was a distinct attenuation of the mortality hazard ratio associated with unemployment at older ages. At baseline ages 60–69, the fully adjusted hazard ratios for all-cause mortality among the unemployed were not statistically different from the employed. However, at all ages, unemployed men had elevated mortality hazard ratios due to alcohol-related disorders and accidental and violent causes of death.
Table 5.
|
Men |
Women |
||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
Controlling for age |
Controlling for all variables (1) |
|
Controlling for age |
Controlling for all variables (1) |
||||||||
Deaths | HR | 95% CI | HR | 95% CI | Deaths | HR | 95% CI | HR | 95% CI | |||||
Ages 30-39 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
All causes of death |
5,021 |
1.75 |
1.61 |
−1.90 |
1.39 |
1.27 |
−1.51 |
2,466 |
1.39 |
1.22 |
−1.59 |
1.30 |
1.14 |
−1.49 |
Malignant neoplasms |
1,156 |
1.43 |
1.18 |
−1.72 |
1.30 |
1.07 |
−1.59 |
1,336 |
1.06 |
0.87 |
−1.30 |
1.02 |
0.84 |
−1.25 |
Circulatory diseases |
860 |
1.39 |
1.11 |
−1.73 |
1.11 |
0.89 |
−1.40 |
296 |
2.10 |
1.52 |
−2.91 |
1.87 |
1.35 |
−2.59 |
Respiratory diseases |
57 |
2.02 |
0.96 |
−4.27 |
1.57 |
0.73 |
−3.38 |
36 |
1.13 |
0.35 |
−3.67 |
1.04 |
0.32 |
−3.42 |
Alcohol-related diseases |
153 |
2.69 |
1.78 |
−4.08 |
1.94 |
1.26 |
−2.98 |
39 |
2.76 |
1.22 |
−6.25 |
2.24 |
0.97 |
−5.16 |
Accidents and violence |
1,857 |
2.02 |
1.77 |
−2.29 |
1.54 |
1.34 |
−1.76 |
462 |
1.70 |
1.29 |
−2.25 |
1.61 |
1.21 |
−2.13 |
All other causes |
1,091 |
1.93 |
1.62 |
−2.29 |
1.40 |
1.18 |
−1.68 |
336 |
1.74 |
1.27 |
−2.42 |
1.51 |
1.09 |
−2.09 |
Ages 40-49 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
All causes of death |
9,195 |
1.62 |
1.51 |
−1.73 |
1.33 |
1.23 |
−1.43 |
4,773 |
1.44 |
1.30 |
−1.59 |
1.38 |
1.24 |
−1.52 |
Malignant neoplasms |
3,500 |
1.41 |
1.25 |
−1.59 |
1.23 |
1.09 |
−1.40 |
3,134 |
1.16 |
1.01 |
−1.33 |
1.14 |
0.99 |
−1.31 |
Circulatory diseases |
2,647 |
1.57 |
1.37 |
−1.79 |
1.31 |
1.14 |
−1.50 |
683 |
1.99 |
1.57 |
−2.52 |
1.77 |
1.40 |
−2.25 |
Respiratory diseases |
163 |
1.96 |
1.20 |
−3.20 |
1.47 |
0.89 |
−2.43 |
97 |
2.60 |
1.48 |
−4.58 |
2.24 |
1.26 |
−3.98 |
Alcohol-related diseases |
285 |
3.12 |
2.28 |
−4.26 |
2.12 |
1.53 |
−2.94 |
66 |
3.77 |
2.06 |
−6.92 |
3.35 |
1.80 |
−6.22 |
Accidents and violence |
1,409 |
1.96 |
1.66 |
−2.32 |
1.51 |
1.27 |
−1.79 |
360 |
1.65 |
1.17 |
−2.34 |
1.56 |
1.10 |
−2.23 |
All other causes |
1,476 |
1.82 |
1.54 |
−2.15 |
1.38 |
1.16 |
−1.64 |
499 |
2.14 |
1.64 |
−2.80 |
1.98 |
1.51 |
−2.61 |
Ages 50-59 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
All causes of death |
15,053 |
1.36 |
1.29 |
−1.44 |
1.22 |
1.15 |
−1.29 |
5,555 |
1.20 |
1.09 |
−1.32 |
1.17 |
1.07 |
−1.30 |
Malignant neoplasms |
7,096 |
1.27 |
1.17 |
−1.38 |
1.16 |
1.07 |
−1.27 |
3,510 |
1.10 |
0.96 |
−1.24 |
1.09 |
0.96 |
−1.24 |
Circulatory diseases |
4,731 |
1.31 |
1.18 |
−1.45 |
1.16 |
1.05 |
−1.29 |
1,043 |
1.04 |
0.82 |
−1.32 |
1.00 |
0.79 |
−1.27 |
Respiratory diseases |
488 |
1.90 |
1.45 |
−2.50 |
1.55 |
1.17 |
−2.05 |
208 |
1.64 |
1.05 |
−2.55 |
1.62 |
1.04 |
−2.53 |
Alcohol-related diseases |
329 |
1.63 |
1.14 |
−2.34 |
1.23 |
0.85 |
−1.78 |
79 |
1.57 |
0.76 |
−3.26 |
1.35 |
0.65 |
−2.83 |
Accidents and violence |
825 |
1.88 |
1.52 |
−2.33 |
1.56 |
1.25 |
−1.94 |
177 |
2.30 |
1.51 |
−3.52 |
2.32 |
1.51 |
−3.56 |
All other causes |
1,913 |
1.49 |
1.28 |
−1.74 |
1.30 |
1.11 |
−1.52 |
617 |
1.61 |
1.24 |
−2.08 |
1.51 |
1.17 |
−1.97 |
Ages 60-69 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
All causes of death |
12,411 |
1.07 |
1.00 |
−1.14 |
1.03 |
0.96 |
−1.10 |
3,290 |
1.10 |
0.95 |
−1.26 |
1.09 |
0.95 |
−1.25 |
Malignant neoplasms |
5,398 |
1.08 |
0.98 |
−1.19 |
1.03 |
0.93 |
−1.14 |
1,764 |
1.09 |
0.90 |
−1.31 |
1.08 |
0.90 |
−1.31 |
Circulatory diseases |
4,444 |
0.93 |
0.83 |
−1.05 |
0.91 |
0.81 |
−1.03 |
862 |
1.16 |
0.88 |
−1.51 |
1.16 |
0.89 |
−1.52 |
Respiratory diseases |
672 |
1.00 |
0.74 |
−1.36 |
0.95 |
0.70 |
−1.29 |
157 |
1.16 |
0.63 |
−2.14 |
1.12 |
0.60 |
−2.08 |
Alcohol-related diseases |
159 |
1.82 |
1.14 |
−2.91 |
1.66 |
1.03 |
−2.69 |
23 |
0.70 |
0.09 |
−5.23 |
0.66 |
0.09 |
−4.95 |
Accidents and violence |
405 |
1.69 |
1.24 |
−2.30 |
1.69 |
1.23 |
−2.32 |
84 |
1.00 |
0.40 |
−2.47 |
0.93 |
0.37 |
−2.31 |
All other causes | 1,492 | 1.28 | 1.07 | −1.54 | 1.21 | 1.01 | −1.46 | 423 | 1.02 | 0.69 | −1.52 | 1.00 | 0.67 | −1.49 |
(1) Adjusted for age, occupational skill level, educational attainment, marital status, year of immigration, and industry sector.
Person-years (000) for men: ages 30–39; 3,768.7, 40–49; 2,984.0, 50–59; 1,784.9, 60–69; 657.4. Person-years for women: ages 30–39; 3,279.1, 40–49; 2,545.6, 50–59; 1,266.1, 60–69; 359.1.
See Appendix for grouping of causes of death by ICD codes.
Discussion
This study describes the incidence of mortality over an eleven-year follow-up period for a cohort established in 1991—a time of historically high unemployment in Canada. During the 1990–1992 recession, the unemployment rate increased from 7.1% in 1989 to 9.8% in 1991 and remained above 9% through 1994 [31].
For both men and women in this cohort, the age-adjusted relative risk of all-cause mortality in the first six years of follow-up was equivalent to that in the last five years of follow-up. The study's first hypothesis, that the relative risk of all-cause mortality among the unemployed would be greater in the initial years following unemployment compared to later years was not supported.
The study's second hypothesis was that the relative risk of mortality among the unemployed would be greater for those causes of death more likely to arise as a result of an acute consequence of exposure to unemployment. This hypothesis was partially supported. For both men and women, the relative risks of death due to accidents, violence and alcohol-related diseases were greater than the relative risks of death due to malignant neoplasms, circulatory or respiratory diseases. However, there was no attenuation of relative risks comparing the first and second multi-year follow-up periods for causes of death that might be more likely to arise as an acute consequence of exposure to unemployment.
Finally, the study's third hypothesis, that there would be no difference by age in the relative risk of mortality among the unemployed was clearly rejected, a finding consistent with a recent meta-analysis of unemployment and all-cause mortality [13].
The mortality risks reported in this study are generally consistent with a recently published long-duration follow-up study of 50,000 Swedish men born in 1949–1951 that had access to selected measures of health behaviors and psychological health status obtained at time of compulsory military conscription testing at age 20 [21]. Employment status was ascertained over the period 1990–1994, when subjects were 40 years of age, with a nine-year follow-up for mortality (1995–2003). The crude hazard ratio for all-cause mortality among those unemployed Swedish men was 1.91 (adjusted: 1.57, 95% CI: 1.29-1.90), compared to 1.62 (adjusted: 1.33, 95% CI: 1.23-1.43) for our study’s unemployed Canadian males aged 40–49 (Table 5). As in the Canadian cohort, in the Swedish cohort there was a persistence of a higher relative risk of all-cause mortality among the unemployed in both the initial four years of follow-up (HR: 2.39, CI: 1.76-3.26) and in the subsequent five years of follow-up (HR: 1.69, CI: 1.33-2.15).
Institutional features of national economies may mediate the magnitude of potential health consequences arising from unemployment. A recent long-duration follow-up study comparing the risk of mortality following unemployment in Germany and the United States over the period 1984 to 2005 reported an association of unemployment and subsequence risk of death in the United States (adjusted relative risk 2.35, 95% CI 1.67-3.34) but not in Germany (adjusted relative risk 1.42, 95% CI: 0.98-2.04) [32]. The authors suggest that the higher risk of mortality for the unemployed in the United States compared with those in Germany may be related to differences between the two countries in employment protections, such as unemployment insurance, and access to health services. The relatively moderate mortality risk associated with unemployment in Canada is consistent with the hypothesis that more comprehensive social protection policies can influence population health outcomes.
Strengths and limitations
There are a number of important strengths of the Canadian census mortality follow-up study, including a very large sample broadly representative of the non-institutional adult population of Canada in 1991 and the exclusion of persons not in the labour force [13]. There are also a number of important limitations to acknowledge that are characteristic of census follow-up studies. The study did not have access to information on the duration of the unemployment episode nor information on the number of episodes of unemployment in the follow-up period. Both duration and frequency are relevant for understanding the relationship between exposure burden and health consequences and would be important to address in future research. The census questionnaire did not collect information on behavioral risk factors that would be relevant for understanding the degree to which health status may be a risk factor for subsequent unemployment and separately, a risk factor for mortality [13,20,32-34]. We note, however, that long-duration follow-up studies that do adjust for baseline health status only partially account for the elevated risk of mortality following unemployment. For example, an important recent meta-analysis of 42 studies estimating the association between unemployment and all-cause mortality assessed the magnitude of hazard ratios in studies that controlled for health status and studies that did not have information allowing control for health status [13]. The authors concluded that while baseline health status accounts for a portion of the association between unemployment and mortality, pre-existing health status is not the common cause of both unemployment and mortality. In interpreting the measures of mortality risk reported in our study, readers should note that the hazard ratios may be inflated relative to estimates fully adjusted for baseline health status. As a final limitation, we note that Canada’s adoption in 2000 of ICD-10 for the classification of causes of death may have influenced the comparability of results over time for certain causes [35]. However, we believe the potential influence of the change in disease classification standards to be small.
Conclusions
This study measured individual employment status and followed individuals forward for 11 years to ascertain deaths. Consistent with results reported from other long-duration cohort studies with information on cause-specific mortality, we observed elevated rates for causes of death that may be sensitive to acute effects of unemployment (such as suicide or deaths resulting from falls), as well as for conditions generally assumed to have long latency (such as circulatory diseases or cancer). Elevated mortality risks among unemployed persons for causes of death with both short and long latency, and the persistence over time of elevated mortality risks across many causes of death suggests that the exposure to unemployment observed in 1991 may have marked persons at risk of cumulative socioeconomic hardship [36]. The elevated risk of mortality among persons experiencing unemployment in this long-duration follow-up study are of moderate magnitude when compared to the United States [32], suggesting that the influence of unemployment income security programs and universal entitlement to access to health care may buffer the potential adverse consequences of unemployment in Canada.
Appendix
Grouping of causes of death by codes of the International Classification of Diseases (ICD), 9th and 10th revisions (Table 6).
Table 6.
Cause | ||
---|---|---|
ICD 9th revision | ICD 10th revision | |
Malignant neoplasms |
140-239 |
C |
Stomach cancer |
150-151 |
C15, C16 |
Lung cancer |
162 |
C33, C34 |
Cancer of intestine and rectum |
152-154, 1590 |
C17-21, C26 |
Other cancers |
Other 140-239 |
Other C |
Circulatory diseases |
390-459 |
I |
Acute myocardial infarction |
410 |
I21 |
Other ischaemic heart disease |
411-414, 4292 |
I20, I22-25, I516 |
Cerebro-vascular disease |
430-438 |
I60-69 |
Other circulatory diseases |
Other 390-459 |
Other I |
Respiratory diseases |
460-519 |
J |
Alcohol-related diseases |
291, 303, 3050, 4255, 5710–5713, 5770, 5771, 860 |
F10, I426, K70, K85, K860, X45 |
Accidents and violence |
800-999 |
V, W, X, Y |
Suicide |
95 |
X60-84 |
Homicide |
96 |
X85-99 |
Traffic accidents |
810-825, 9290 |
V02-04, V090, V092, V12-14, V190-196, V20-79, V803-805, V810-811, V820-821, V83-86, V870-878, V880-888, V890, V892 |
Falls |
880-888, 9293 |
W00-19 |
Other accidents and violence |
Other 800-999 |
Other V, W, X, Y |
All other causes | Not 140–239, 390–459, 460–519, 800-999 | Not C, I, J, V, W, X, Y |
Competing interest
The authors declare that they have no competing interest.
Authors’ contribution
CM, RW and KA designed the study. AB, JE, PS, BA and MT contributed to the implementation of the study and to the analyses reported in this paper. CM and RW supervised the analysis. The original version of the manuscript was authored by CM and all authors contributed revisions to the final version of the manuscript. All authors read and approved the final version.
Pre-publication history
The pre-publication history for this paper can be accessed here:
Contributor Information
Cameron A Mustard, Email: cmustard@iwh.on.ca.
Amber Bielecky, Email: abielecky@iwh.on.ca.
Jacob Etches, Email: jetches@iwh.on.ca.
Russell Wilkins, Email: russell46wilkins@gmail.com.
Michael Tjepkema, Email: michael.tjepkema@statcan.gc.ca.
Benjamin C Amick, Email: bamick@iwh.on.ca.
Peter M Smith, Email: peter.smith@monash.edu.
Kristan J Aronson, Email: aronson@post.queensu.ca.
Acknowledgements
Funding for this research was provided by the Canadian Institutes of Health Research (62874), and the Research Advisory Council of the Ontario Workplace Safety and Insurance Board (07004). Peter Smith is supported by a New Investigator Award from the Canadian Institutes of Health Research. The funding bodies had no role in the definition of the study design, the collection, analysis and interpretation of the data, or the preparation, review and submission of the manuscript.
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