Journal of Safety Research, Vol. 19, pp. 103-113, 1988 0 1988 National Safety Council and Pergamon Press plc
0022-4375/M $3.00 + .OO Printed in the USA
Standard Morbidity Ratios for Work-Related Amputations and Fractures by Occupation, 1979-1981 Linda
M. Harner
The risk of injury varies with age and sex. Thus, it is possible to draw biased conclusions when considering unadjusted data. Standardized morbidity ratios (SMRs) are summary statements that remove differences in the compositions of the populations under study, permitting unbiased comparisons with respect to certain variables. Workers’ compensation data and census data were combined to calculate SMRs for amputations and fractures by occupation. Based on this analysis, occupations were identified that have a high estimated relative risk of amputations (machinists and heavy equipment mechanics) and of fractures (firefighters and plumbers).
Both amputations and fractures represent significant work-related injury problems. In fact, amputations are listed fourth in the National Institute for Occupational Safety and Health’s (NIOSH) list of the 10 leading workrelated diseases and injuries in the United States (Centers for Disease Control [CDC], 1983). This ranking is based on three criteria: (a) frequency of occurrence, (b) severity, and (c) amenability to prevention. In 1983, an estimated 11,300 workers suffered amputations (U.S. Department of Labor, 1983). Approximately 93% of all ampu-
Linda M. Harner was an epidemiologist in the Data Analysis Section, Injury Surveillance Branch, Division of Safety Research, National Institute for Occupational Safety and Health at the time this article was written.
Fall 1988Nolume
19hhmber
3
tations were fingers, and 4% were hands and toes. According to the workers’ compensation data maintained by the Supplementary Data System (SDS), amputations occurred in a wide range of industries and occupations, although the largest percentage of workers injured were machine operators (U.S. Department of Labor, 1983). Machines accounted for the highest percentage of amputation injuries, followed by saws, shears/slicers, and presses. An estimated 192,000 work-related fractures occurred in the United States in 1983. This estimate is based on national projections made from SDS data (U.S. Department of Labor, 1983). Most of these fractures resulted from being struck by a falling object (18%), being struck by an unspecified object (13%), falling on a working surface 103
(16%), and falling from an elevation (17%). Fingers, toes, and feet (excluding toes) were the most common body parts injured. A wide range of occupations reported fracture injuries, with truck drivers, construction laborers, machinists, and operatives accounting for the highest percentages of injured workers. Approximately 30% of all fractures at work specified the source of injury as being floors, the ground, or highway vehicles. Because the risk of injury varies with age (Root, 1981) and sex (Root & Dale): 1980), it is possible to draw biased conclusions when considering these unadjusted data. Standardized morbidity ratios (SMRs) remove differences in the compositions of the populations under study and permit unbiased comparisons with respect to certain variables. In this analysis, SDS and census data were used to calculate SMRs for amputations and fractures by occupation in 30 states. SMRs greater than 100 were then ranked within each state to identify occupations with a high risk of amputation or fracture injuries.
METHOD
Data Source The SDS workers’ compensation data used in this analysis comprise all files on medical treatment cases, cases involving disability, and closed cases. These data are derived from first reports of injuries or illnesses submitted by employers and insurance carriers to state workers’ compensation agencies. The reports include the age, sex, and nature of injury for the injured worker. Federal and self-employed workers, who are not covered by the workers’ compensation claim system, were excluded from the analysis. The SDS has some limitations that must be recognized when analyzing the data (Root & McCaffrey, 1978). First of all, not all of the 50 states participate in the SDS; no more than 33 states have been included since the data collection began in 1976. Also, because states vary in their reporting requirements for a compensable case (e.g., 1 104
to 8 lost workdays), it is difficult to compare data among states or make national statistical inferences. The census data used in the analysis were from the 1980 5% Public-Use Microdata Sample (Bureau of Census, 1983). Calculating
an SMR
An SMR is calculated as 100 times the ratio of the number of injuries observed in each occupation to the number of injuries expected if those employees had the same injury rate as the standard employed population in that state (Monson, 1980). The numerator for the SMR includes all SDS claims filed for amputations or fractures by workers in a specific occupation in each of the 30 participating states from 1979 to 1981. For the denominator, the number of claims expected is the summation of age- and sexspecific amputation or fracture rates for all occupations combined multiplied by the number of employees in each age-sex group in a specific occupation. The census data for each state were used to calculate the ageand sex-specific amputation and fracture rates and the number of employees in occupation age-sex groups. SMRs greater than 100 are due to the number of claims for fracture or amputation injuries exceeding the expected number of claims. Workers in occupations with SMRs greater than 100 are at a higher risk of amputation or fracture than the standard employee population in that state. Using this method of standardization, occupational groups can be ranked according to their SMRs. This ranking provides a comparison, adjusted for age and gender, of the estimated relative risk of amputations or fractures among occupational groups. The SMRs calculated in this analysis will be used to identify occupations in each of the 30 states with higher than expected rates of fractures and amputation injuries. Also calculated is the proportion of states in which an occupational group has a high estimated relative risk of amputation or fracture. Person-years of employment are used to take into account the number of persons employed as well as the duration of their employment. Journal of Safety Research
RESULTS
The occupations with a higher than expected risk of amputation (SMR> 100) are shown in Table 1. SMRs range from 102 (laborers in Arizona) to 1,794 (mine operators in Mississippi). Thus, laborers in Arizona had 1.02 times as many claims filed for amputations as would be expected based on the standard employed population, and mine operators in Mississippi had 17.94 times as many claims filed for amputations as would be expected. A total of 11 occupations had SMRs greater than 100 in the 30 states. Mine operators had the highest SMR for amputations in Alaska, California, Mississippi, Montana, and Wyoming. Machinists ranked first in Arizona, Maryland, New Jersey, and Virginia; laborers in New Mexico, South Dakota, and Vermont; and heavy equipment operators in Colorado, Delaware, Hawaii, Iowa, New York, and Tennessee. Plumbers had the highest SMR in Indiana, Kentucky, Michigan, Oregon, Washington, and Wisconsin. Idaho is the only state in which food service employees had the highest risk of amputation. Material handlers were ranked first only in Nebraska, and firefighters only in North Carolina. In Minnesota, only one occupational group (operatives) had an SMR greater than 100. No occupational groups had SMRs greater than 100 in Maine and Utah. This may be due to the small number of workers with these injuries. Table 2 shows the occupations with a higher than expected risk of fractures (SMR> 100). SMRs range from 102 (food service workers in New Jersey) to 47,000 (firefighters in Kentucky). Thus, food service workers in New Jersey had 1.02 times as many claims filed for fractures as would be expected based on the standard employed population, whereas firefighters in Kentucky had 470 times as many claims filed for fractures as would be expected. A total of 16 occupations had SMRs greater than 100 in the 30 states. Of these, four occupational groups ranked as the highest in the various states. Plumbers had the highest SMR in 14 (47%) of the states: Delaware, Idaho, Indiana, Iowa, Michigan, MinnesoFall 1988Nolume
19Aiumber
3
ta, Montana, New Mexico, Oregon, Tennessee, Utah, Vermont, Washington, and Wyoming. Firefighters had the highest SMR in 12 (40%) states: Arizona, Colorado, Hawaii, Kentucky, Maine, Maryland, Nebraska, New Jersey, New York, North Carolina, Virginia, and Wisconsin. Mine operators had the highest SMR in three (10%) of the states: Alaska, California, and Mississippi. Food service workers ranked highest in only one state, South Dakota. In Table 3, occupational groups are ranked according to the percentage of states in which they had SMRs greater than 100 for amputations. The range is from 73.3% for machinists to 3.3% for firefighters and meat cutters. Machinists and heavy equipment mechanics had SMRs greater than 100 in at least 46% of the states, and mine operators, plumbers, and laborers had SMRs greater than 100 in at least 20% of the states. Table 4 shows occupational groups ranked according to the percentage of states in which they had SMRs greater than 100 for fractures. The range is from 100% for plumbers to 3.3% for cutting operators and road machine operators. In over 75% of the states, plumbers and food service workers had SMRs greater than 100. Over 50% of the states rank material handler, firefighter, laborer, or heavy equipment mechanic as occupations with a high estimated relative risk of fractures. When both SMR ranking and the number of states in which an occupation has an SMR greater than 100 are considered, heavy equipment mechanics and machinists are singled out as having more amputations than expected. Firefighters and plumbers have more fractures than expected.
DISCUSSION
Standardized morbidity ratios can be very useful for showing injury patterns. They provide information on the estimated relative risk of injuries for an occupation by removing the confounding effects of age and sex in employee populations. Thus, these results provide more specific information than other data sources. such as the Bureau of 105
TABLE 1 OCCUPATIONS WITH SMRS> 100 FOR AMPUTATIONS BASED ON SDS DATA FROM 30 STATES, 1979-1981
100
Chi.Sb DCS”
Alaska
Dcclprtlm
616 637 or 639
Mine operator Machinist
Arizona
637 639 686 889
Machinist Meat cutter Laborer
California
616 516 637 or 639
Colorado
sm
observed
clalmsC
Expected
person; pars
1.316 201
10
140 106 IO2
42 19 56
30 18 55
149 70 297
Mine operator Heavy equipment mechanic Machinist
1,095 161 107
12 34 133
1 21 124
12 143 1,062
516 637 or 639 769 616
Heavy equipment mechanic Machinist Cutting operator Mine operator
198 135 132 122
36 54 19 34
18 40 14 28
64 157 46 98
Delaware
516 637 or 639
Heavy equipment mechanic Machinist
146 143
6 18
4 13
11 21
Hawaii
516 637 or 639
Heavy equipment mechanic Machinist
418 328
11 a
3 2
18 12
Idaho
208 637 or 639
Food service Machinist
233 141
5 22
2 16
32
Indiana
557 637 or 639 516
Plunber Machinist Heavy equipment mechanic
618 387 114
13 417 45
2 108 39
9 436 124
Iowa
516 637 or 639
Heavy equipment mechanic Machinist
250 177
26 65
10 37
64 171
Kentucky
557 208 637 or 639
Plumber Food service Machinist
733 280 189
11 25 105
2 9 56
6 47 172
Maine
No SMRs >lOO
Maryland
637 or 639 516
Machinist Heavy equipment mechanic
189 104
53 18
28 17
184 82
Michigan
557 637 or 639 516 616 769
Plunber Machinist Heavy equipment mechanic Mine operator Cutting operator
1,251 488 319 198 137
19 344 69 9 50
2 70 22 5 36
13 587 154 20 253
Minnesota
779
Operative
144
29
20
570
Mississippi
616 637 or 639 889
Mine operator Machinist Laborer
1,794 247 125
26 67 121
1 27 97
74 60 237
106
6
journal
7
of Safety Research
TABLE
1
[CONTINUED]
373
21
6
19
130
13 31
10 24
25 80
43 47
15 45
359 1,203
38 32
29 29
123 116
48 13 258
15 4 102
173 25 944
111
5 101 313 80
0 23 83 72
1 71 280 221
344 344 284 198 139 108
8 19 34 66 24 21
2 6 12 33 17 19
6 26 45 137 56 62
104
23
22
29
Machinist
383 331
80 245
21 74
65 264
Laborer
193
31
16
46
157 150
82 48
52 32
255 142
224 178 148
8 25 209
4 14 141
15 44 483
Machinist
390 158 152 148
11 44 337 209
3 28 222 141
10 77 814 483
Mine
361
117
32
58
Montana
616
Mine
Nebraska
859
Material
637 or 639
Machinist
128
637
Machinist
295
Operative
105
New Jersey
or 639
779
New Rexico
New York
North
Carolina
Oregon
Laborer
133
616
Mine
109
516
Heavy
557
Pluaber
270
637 or 639
Machinist
253
417
Firefighter
516
Heavy
Tennessee
Material
557
Plmaber
208
Food
Material Heavy
769
Cutting
889
Laborer
Venaont
889
Virginia
637
same count
rate
the nuaber
Fall 1988Nolume
equipment
Heavy
557
Plumber
208
Food
637 or 639
Machinist
557
Plmaber
516
Heavy
System
of claims as
mechanic
mechanic
equipment
mechanic
service
equipment
mechanic
Laborer or 639
Classification
of filing
handler
Machinist
or 639
616
'Nwaber
378
operator
516
889
1979-1981.
433
handler
equipment
Heavy or 639
No SMRs > 100
aOccupational
mechanic
Machinist
or 639
Utah
Yymaing
325
service
516
637
mechanic
1,197
equipment
Machinist
516
Yisconsin
equipment
637 or 639
637
Uashington
operator
859
637
Dakota
handler
889
859
South
operator
the
of Persons
code.
expected
total
1 S/Number
3
b
Yorkers'
to be filed
labor
employed
operator
force
and
their
conpensation
if each
(numbers duration
age
rounded
claims
received
and
sex group
to
whole
by
SDS from
in the doccupational
numbers).
Person-years
the
state
group take
for
had
the
into
ac-
of employment.
107
TABLE 2 OCCUPATIONS WITH SMRS > 100 FOR FRACTURES BASED ON SDS DATA FROM 30 STATES, 1979-1981
100 Clai.sb state
Alaska
clCsa
Colorado
Delaware
Hawaii
persmFi years
operator
2,207
140
6
2
Food
Service
2,202
22
1 1
2
417
Fireffghter
1,675
12
557
Plunber
700
4
I
43
13
1
Lunbennan
259
28 111
Machinist
228
41
18
5
779
Operative
129
70
54
13
859
Material
119
34
29
6
417
Firefighter
1,140
41
4
3
557
Plunber
637
94
15
10
859
Materfal
38
616
Mine
889
Laborer
496
Lunberman
516
Heavy
597
Structural
or 639
handler
handler
operator
equipment
mechanic
metal
operator
158
91
58
152
174
114
78
133
528
397
297
116
21
18
9
109
115
106
66
104
67
64
38
616
Mfne
3.086
394
13
12
417
Firefighter
1.455
204
20
16
557
Pltmrber
1.213
273
23
18
496
Lmbetman
962
142
15
6
a59
Materfal
229
651
284
123
516
Heavy
122
424
348
143
417
Flreffghter
557
Plunber
859
Material
208
Food
Service
208
616
Mine
operator
181
516
Heavy
869
Construction
handler
equfpment
mechanic
handler
equfpment
9.917
61
1
1
391
111 317 128 403 240 747
28
12
119 62 223 149 673
54
25 33 19
3 19 12
28 48 70 65 91 51 41
8 19 28 44 46 38
50 11 257 42 191 297 128 720
7 6 154 27 129 211 92 610
266
mechanic
laborer
161 111
557
Plunber
516
Heavy
208
Food
417
Ffrefighter
557
Plunber
639
Food
370
637
108
WC--l
Mine
208
Idaho
Observed
208
637
California
sm
616
496
Arizona
Occl#latllM
ClaimsC
or 639
926
equipment
mechanfc
Service
163 2,375
Service
234
Machinfst
516
Heavy
a59
Material
597
Structural
171
equipment
mechanic
206
handler
112
metal
107
557
Plunber
719
417
Ffreffghter
174
637 or 639
Machinist
167
208
food
859
Materfal
service
496
Lunbennan
516
Heavy
889
Laborer
154
148
handler
equipment
141 mechanic
139 118
1
31 98 64 321 2 11 7 1 3 9 11 18 10 14 2 2 32 7 27 44 23 137
Journal of Safety Research
TABLE
2
(CONTINUED)
100 state
Indiana
Iowa
Kentucky
Maine
Maryland
Michigan
Minnesota
Fall 1988Nolume
Clai.sb
Ocsa
Occlpati m
557 637 or 639 889 208 859
140
110 107 1,072 428 185 170 123 114 109 107
67 332 85 175 145 432 53 280
6 78 46 103 118 379 49 262
5 52 26 64 71 260 33 171
47.000 1,000 269 158 125
75 100 165 620 1.368
0 10 61 392 1.094
1 6 46 172 501
1.895 732 185 159 136 107 105
52 64 62 73 232 673 267
3 9 34 46 171 629 254
1 4 13 9 41 158 59
6,392 881 179 141 105
204 94 240 210 688
3 11 134 149 655
3 9 77 82 391
2,914 2.491 337 272 257 245 220 211 171 140 125
324 102 544 1,606 226 62 256 580 161 742 1.264
11 4 161 590 88 25 116 275 94 530 1,011
13 4 154 587 80 20 123 267 87 523 1.033
875 161
41 453
5 281
11 645
270
service handler
Plumber handler
Structural Heavy
metal
equipment
mechanic
Road machine
operator
Construction
laborer
Food
service
Machinist Firefighter Pluaber Food
service
Machinist Laborer Firefighter Plumber Food
service
Structural Material
metal handler
Laborer Construction
417 557 859 516 869
laborer
Firefighter Plmaber Material Heavy
handler
equipment
Construction
557 417 516 637 or 639 597 616 208 859 808 869 889
mechanic
laborer
Plumber Firefighter Heavy
equipment
mechanic
Machinist Structural
metal
Mine
operator
Food
service
Material
handler
Bus driver Construction Laborer
557 889
19hhmber
Laborer
Material
417 557 208 597 859 889 869
Plumber Laborer
3
wcw
Food
1,890
Material
417 557 208 637 or 639 889
obsened
persmz plrs
176 1,694 1.984 149 386
Pluaber Machinist
557 859 597 516 844 869 208 637 or 639
mrl
Clai.sC
laborer
9 627 1,417 135 361
10 436 1.017 92 242
109
TABLE 2 (CONTINUED)
100
state
Mississippi
Montana
Nebraska
New Jersey
New
New
Mexico
York
OCsa
110
Expcca
persrn2 pars
7
Mine
2,736
216
8
557
Plunber
614
32
5
4
889
Laborer
149
802
538
237
637 or 639
Machinist
120
184
153
60
operator
557
Pluaber
616
Mine
779 208 769
Cutting
417
Firefighter
557
Pluaber
1.400
70
5
2
313
311
99
19
Operative
145
189
130
24
Food
136
41
30
8
108
32
30
4
5,057
47
1
1
726
73
10
4
operator service operator
859
Material
233
211
91
25
637 or 639
Machinist
128
373
291
80
208
Food
120
65
54
15
889
Laborer
107
1.098
1,026
309
417
Firefighter
24,000
37
0
1
557
Plumber
1.275
104
8
14
689
Laborer
171
545
319
526
637 or 639
Machinist
171
391
229
359
859
Material
141
126
89
139
869
Construction
122
201
165
247
597
Structural
117
41
35
42
516
Heavy
106
57
54
66
208
Food
102
39
38
55
handler
service
handler laborer metal
equipment
mechanic
service
557
Plumber
611
24
4
3
889
Laborer
171
317
185
123
616
Mine
operator
130
241
185
116
208
Food
service
123
17
14
12
597
Structural
104
30
29
13
417
Firefighter
3,961
426
11
6
557
Plusher
1.166
490
41
25 300
metal
859
Material
166
1.020
543
616
Mine
operator
184
55
30
16
208
Food
service
158
561
355
210
516
Heavy
889
Laborer
handler
equipment
Structural
597
Carolina
slut
Clai.sC
616
637
North
Occlpatim
Clai.sb Observed
or 639
mechanic
metal
Machinist
869
Construction
417
Firefighter
557
Plumber
516
Heavy
637 or 639
Machinist
laborer
equipment
208
Food
659
Material
597
Structural
mechanic
152
514
338
173
152
3.504
2,305
1.314
139
232
167
82
124
2,148
1,732
944
107
1,523
1,423
771
21,000
108
1
1
1.202
194
16
9
352
689
196
71
186
1,391
748
280
160
262
164
63
handler
150
865
577
221
metal
135
143
106
34
service
Journal of Safety Research
TABLE 2 (CONTINUED)
100 Oc2
Ocupa ti m
mR
C1ai.sb ObseIved
Oregon
557 859 417 516 637 or 639 597 208 496 889
Plunber Material handler Firefighter Heavy equipment mechanic Machinist Structural metal Food service Lunbennan Laborer
626 559 387 194 158 137 120 103 103
81 511 35 248 476 78 63 648 941
13 91 9 128 301 57 53 629 914
6 45 3 56 137 22 25 290 438
South Dakota
208 859 557 889 516
Food service Material handler Pluaber Laborer Heavy equipment mechanic
1,431 779 346 219 210
122 77 21 1,326 94
9 10 6 605 45
1 1 1 29 4
Tennessee
557 417 516 637 or 639 859 889 597
Pluaber Firefighter Heavy equipment mechantc Machinist Material handler Laborer Structural metal
2.192 385 232 165 135 122 109
85 13 238 639 289 1,392 82
4 3 103 387 214 1,141 75
4 2 65 264 143 831 43
Utah
557 417 208
Pluaber Firefighter Food service
2,789 1.918 137
69 15 45
2 1 33
1 1 18
Vermont
557 889 208
Plumber Laborer Food service
1.275 268 216
36 469 29
3 175 13
3 46 3
Virginia
417 557 859 616 597 516
Firefighter Plumber Material handler Mine operator Structural metal Heavy equipment mechanic
2.150 929 136 120 119 118
68 93 250 324 107 264
3 10 184 270 90 224
3 12 119 173 53 142
Washington
557 859 889 208 597 637 or 639
Plmnber Material handler Laborer Food service Structural metal Machinist
799 250 171 141 132 128
313 508 3,028 193 283 1.419
39 203 1,802 137 214 1.109
15 60 567 44 59 336
Wisconsin
417 557 616 889 516 208 869
Firefighter Pluaber Mine operator Laborer Heavy equipment mechanfc Food servfce Construction laborer
8.089 824 193 169 167 128 124
90 109 12 2,807 299 165 719
1 13 6 1,661 179 129 580
2 10 3 814 77 60 266
state
Fall 1988Nolume
1 S/Number
3
claf.sC WC-d
r-m; scaly
111
TABLE 2 (CONTINUED)
100 state
Uyaning
occupatim
ocsa
557 616 808 208
SUR
Plmnber Mine operator Bus driver Food service
457 417 270 125
ClailBsb observed
person;
Cltii.SC
yeprs
Expect-J
85 1,941 15 18
19 465 6 14
4 58 2 2
b aOccupationalClassification System code. Workers' canpensatlon claims received by SDS fran the state for 1979-1981. 'Nunber of claims expected to be filed if each age and sex group in the doccupatlonal group had the same rate of filing as the total labor force (nmabers rounded to whole nunbers). Person-years take into account the number of persons employed and their duration of emploment.
Labor Statistics’ Annual Survey, which do not adjust for age and sex when calculating injury rates. Moreover, by identifying occupations with higher estimated relative risk of amputations and fractures in various states, rather than in the entire country, these data provide a more defined target area for research and intervention.
TABLE 4 OCCUPATIONS RANKED BY PERCENTAGE OF STATES IN WHICH THEY HAVE SMR > 100 FOR FRACTURES. 1979-1981
2
with OCS”
TABLE 3 OCCUPATIONS RANKED BY PERCENTAGE OF SIATES IN WHICH THEY HAVE SMR > 100 FOR AMPUTATIONS,
OCS”
637 or 639 516 616 557 889 208 769 859 779 417 686
1979-1981
tkuprtim
Machinist Heavy equipment mechanic Mine operator Plunber Laborer Food service Cutting operator Material handler Operative Firefighter Meat cutter
'Occupati~al ClassificationSystem code.
112
I of states wfth SWR> 100
73.3 46.7 26.7 23.3 20.0 13.3 10.0 10.0 6.7 3.3 3.3
of states
557 208 859 417 889 516 637 or 639 597 616 869 496 808 779 769 844
Oc*ati
an
SWR> 100
Plumber Food service Material handler Firefighter Laborer Heavy equfpment mechanic Machinist Structural metal Nine operator Construction laborer Lunbennan Bus driver Operative Cutting operator Road machine operator
100.0 76.7 66.7 63.3 60.0 56.7 46.7 43.3 40.0 26.7 16.7 6.7 6.7 3.3 3.3
'Occupational Classification System code.
REFERENCES Bureau of Census. (1983). Census of populat~ofl and housing, 1380: Public-use microdata sampk. Washington, DC: U.S. Department of Commerce. Centers for Disease Control, National Institute for Occupational Safety and Health (NIOSH). (1983). Leading work-related diseases and injuriesUnited
Journal
of Safety Research
States. Morbidity and ~ortal~~~ Weekly Report, 32(14), 190. Monson, R. (1980). Occupational epidemiology. Boca Raton, FL: CRC Press. NIOSH, Division of Safety Research. (1984). Severe occupational traumatic injuries. ~or~~~~~~ and Mortal&f Weekly Report, 33(16). Root, N. (1981). Injuries at work are fewer among older employees. Monthly Labor Review, 104(3), 30-34.
Fall 198~~5lume
19~~rnbe~ 3
Root, N., & Daley, J. R. (1980). Are women safer workers? A new look at the data. Monthly Labor Review, 103(9), 3-10. Root, N., & McCaffrey, D. (1978). Providing more information on work injury and illness. Monthly Labor Review, 10f(4), 16-21. United States Department of Labor, Bureau of Labor Statistics. (1983). Supplementary data system microdata f&v. Washington, DC: Author.
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