Ergonomics & Musculoskeletal Injuries in Agriculture:
Preventing the industry’s most
widespread health & safety problem
Larry Chapman
& James Meyers
Univ. of Wis.
Madison &Univ. Of Calif. Berkeley
Comparisons based on employer reporting
for musculoskeletal disorders capture only data from a few, very large
operations (not
representative of the production ag labor force):
Table 1. US large farm rates of musculoskeletal health
problems per 10,000 full time equivalent workers.
disorders carpal
associated with sprains, back tunnel
industry
sector repeated trauma strains pain syndrome tendonitis
agricultural
production-crops 9.9 112.7 7.9 1.7 2.3
cash grains - 77.6 - - -
field crops, except cash grains - 81.7 - - -
vegetables and melons 15.0 94.7 13.2** - -
fruits and tree nuts 1.7 123.3 8.5* - -
horticultural
specialities 20.5 124.9 7.9 3.8 2.9
general farms, primarily crop 1.3 111.9 - - -
agricultural
production-livestock 27.6 126.6 8.8* 2.9 1.6
livestock, ex. dairy & poultry 14.6 152.8* 18.6** - -
dairy farms - 72.2 - - -
poultry and eggs 50.1* 122.7 2.4 5.7* 2.9
animal specialties 83.1** 113.7 - - -
agricultural
services 8.7 86.5 3.5 1.6 -
crop services 36.0 96.3 1.7 - 3.9*
veterinary services 6.6 40.0 - - -
animal services, ex.veterinary 4.9 53.5 11.9** - 3.4*
farm labor and management services 0.9 66.4 - - -
landscape & horticultural services 5.6 114.6 5.4 1.9 -
agricultural
production total 13.9 115.9 8.1 1.9 2.1
all
private industry average 32.0 92.5 5.6 3.4 2.1
Note: ** > two times the private industry rate, * >
one and one half times the private industry rate. US Bureau of Labor Statistics, Washington DC: US Department of
Labor, 1999 (excludes farms with less than 11 employees)
Population-based surveys (NHIS) suggest
exposures to musculoskeletal hazards are as high or higher for all ag-
forestry-fishing compared to other occupational groups
Table 2. Percent of US adults reporting exposures to
musculoskeletal hazards in the last year.
repeated strenuous repeated
bending, bending or twisting hand operation of
physical activity twisting
or reaching of arms or wrists vibrating machinery
- any daily exposure -
agriculture,
forestry and fishing 70.6 82.1 73.4 42.8
blue
collar occupations 55.9 71.7 56.5 40.8
service
sector occupations 40.1 61.8 73.7 18.8
white
collar occupations 17.4 28.6 37.0 6.5
- two or more hours of exposure per day -
agriculture,
forestry and fishing 52.8 65.2 59.2 28.4
blue
collar occupations 44.1 62.4 66.4 28.4
service
sector occupations 26.0 50.2 48.9 10.3
white
collar occupations 9.8 21.3 32.2 3.5
Source:
US DHHS. National Health Interview
Survey Occupational Health Supplement, 1988.
Vital and Health Statistics 1993; Series 10, Number 106, (n=27,408).
Population-based surveys (NHIS) also
suggest that
·
reports of
musculoskeletal health problems are more common than reports of any work injury
for all ag- forestry-fishing occupations
·
but neither
reports of musculoskeletal health problems nor work injury for all ag-
forestry-fishing occupations are high compared to rates in blue collar, service
sector or white collar occupations
Table 3. Percent of US adults
reporting occupational health problems in the last year.
repeated trouble carpal
any work with
back, tunnel
injury neck or spine syndrome tendonitis
agriculture,
forestry and fishing 10.0 18.2 0.9 1.4
blue
collar occupations 13.8 21.4 1.9 3.8
service
sector occupations 8.7 20.1 1.3 2.5
white
collar occupations 4.5 17.8 1.3 3.5
Source: US DHHS. National Health Interview Survey Occupational Health Supplement,
1988. Vital and Health Statistics 1993;
Series 10, Number 106, (n=27,408).
Population-based surveys (NHIS, FFHHS)
that break down all ag- forestry-fishing occupations into smaller job groupings
show that
·
production ag
back pain is as high or higher than all other occupations
·
back pain on
small & family farms may be 50- 300% higher
than ave for all farm sizes
Table 4. Population-based studies
of individuals working on farms of all sizes reporting back pain.
US
National Health Interview Survey, 1988 back
pain > one wk last yr
males:
all
industries (n=15,000) 10.7%
agricultural
production-crops (n=200) 16.7%
agricultural
production-livestock (n=223) 15.7%
females:
all
industries (n=15,000) 6.7%
agricultural
production crops (n=74) 10.8%
US
Colorado Farm Family Health and Hazard Survey, 1993
all
small and family farm respondents (n=458) 26.2%
dairy
farmers 43.0%
field
crop farmers 27.0%
livestock
farmers other than dairy 25.0%
Holland
Central Statistics Office Survey, 1983-85 back pain quite often
males:
all
industries (n=5,840) 25.3%
all
agriculture (n=388) 27.3%
farm
operators (n=204) 27.0%
farm
workers (n=163) 28.2%
females:
all
industry (n=2,908) 28.9%
all
agriculture (n=52) 21.2%
Sources: US NHIS data - Guo et al., 1999; Colorado
FFHHS data - Xiang et al., 1999; Holland
CSOS data - Hildebrandt, 1995b.
Discomfort reports w/ a
common instrument are high for ag vs other & for certain ag work
Table 5. Nordic
questionnaire reports of musculoskeletal discomfort in the last year from farms
of all sizes.
lower wrist- elbow neck-
back knee elbow hand wrist-hand neck shoulder shoulder
agricultural production-crops:
fresh
market vegetables US (n=102) 66** 31* 23*** 36*** - 37** 37* -
fresh
market veget. Holland (n=167) 49 15 - - 19 - - 45**
greenhouse
tomatoes Britain (n=56) 61** 18 11 34** - 46*** 64*** -
berry
US (n=26) 62** 23 12 39*** - 42*** 46** -
tree
fruit Germany (n=465) 57* 40*** 20*** 29** 38** 38*
fruit
Holland (n=35) 33 35** - - 39*** - - 33
potted
plants Holland (n=137) 51 18 - - 20* - - 32
tree
nursery Holland (n=98) 66** 27 - - 37*** - - 58***
mushrooms
Holland (n=56) 49 18 - - 31** - - 32
cut
flowers Holland (n=197) 48 23 - - 16 - - 33
flower
bulbs Holland (n=91) 63** 23 - - 17 - - 35*
agricultural production-livestock:
dairy
US (n=621) 49 39** 15* 23* - 26 32 -
dairy
Sweden males (n=2,081) 55* 41*** 18* 18 - 25 37* -
dairy
Sweden females (n=161) - - - - 58*** 35** 50** -
poultry
Holland (n=82) 51* 22 - - 16 - - 30
hogs
Holland (n=53) 62** 18 - - 20 - - 31
hogs
Denmark (n=25) 60* 12 4 4 - 32* 20 -
mixed
crops&livstk Holl. (n=343) 49 25 - - 23 - - 37*
nonagricultural industry groups:
construction
US (n=2929) 70** 46** 25*** 43*** - 42* 42* -
cosmetologists US (n=404) 62** 28 15* 55*** - 54*** 59*** -
computer
operators US (n=682) 52* 15 6 24* - 50*** 25 -
physical
therapists US (n=928) 45 11 8 29** - 25 19 -
all industry norms (n>3,450) 40±10 25±5 10±5 12.5±7.5 12.5±7.5 25±5 25±10 25±10
Note: ***
> three standard deviations (SD) above mean for all occupation norms,
** > two SD above mean, * > one SD above mean
Sources: Holland: Hildebrandt,
1995a; US: Chapman et al., 2000; Sweden: Gustafsson et al., 1994; Stal et al., 1996; Britain: Palmer, 1996; Denmark: Christensen et al., 1992; Germany: Calisto, 1999; US: Rosecrance
et al., 1997.
Univ of Calif found musculoskeletal
disorder rates per 1000 (e.g. 40 in plant nurseries and 80 in winegrape vinyards) that ranked with the highest reported rates
per 1000 for disorders due to repeated trauma in all US industries (e.g. 92
in meat packing, 91 in knit underwear, 71 in motor vehicles)
Table 6. Rates
& Types of Musculoskeletal Disorders in Selected Groups
rate total no. no.
of no. of no. of Lost Work
per
000 of MSDs back upper ext. other Days
(rate per 000 for all
musculoskeletal disorders including backs)
Calif plant nurseries 40 85 26 39 20 1246
Calif winegrape vineyards 80 29 20 6 3 435
(rate per 000 for disorders
due to repeated trauma w/o backs)
All Private US industries 3.2
Highest All US Ag Industries
poultry & eggs 5.0
animal specialities 8.3
Highest All US nonAg
Industries:
meat packing plants 92.2
knit underwear mills 91.0
motor vehicles and car bodies 71.1
Sources: NIOSH project reports of the UC Agricultural
Ergonomics Research Center, US Bureau of Labor
Statistics, Washington DC: US Department of Labor, 1999 (excludes farms with
less than 11 employees)
We estimate that the direct costs of
musculoskeletal disorders in production may be in the range of $167 million to
$4.28 billion per yr
Table 7. Size
of the workforce, rates of disorders, costs of disorders and total
direct/worker comp-health costs
Size of the workforce = 6.69 m
(based on 1.91 m crop
and animal production farms w/ 3.5 employees per farm)
Rate of musculoskeletal disorder incidence = 5 per 1000 to
80 per 1000
no. per yr direct direct
rate per 000 in prod ag w/ cost per yr cost
per yr
6.69 m at $5K per at $8K
per
BLS US meatpacking 92.2
BLS US motor vehicles 71.1
Calif winegrape vineyards 80 535,200 2,676,000,000 4,281,600,000
Calif plant nurseries 40 267,600 1,338,000,000 2,140,800,000
BLS animal specialities 8.3 55,527 277,635,000 444,216,000
BLS poultry & eggs 5 33,450 167,250,000 267,600,000
BLS US all private industry 3.2
BLS US all ag & ag services 1.3
Average direct cost per musculoskeletal disorder = $5,000
per case to $8,000 per case
(average worker comp claim cost for a work-related upper
extremity disorder
$7083-8250 in Silverstein B et al. Claims incidence of work-related disorders of
the upper extremities: Washinton State, 1987-1995. Am J Public Health
1998;88:1827.
$8070 in Webster BS, Snook SH. The cost of compensable upper extremity trauma disorders. J Occup Med 1994;36:713.
Summary:
• Only the largest farms w/ 11 or more employees
currently report w/ OSHA 200 forms so most of the production ag workforce gets
missed in Table 1. BLS rates per 000
for production ag for “disorders to due repeated trauma” are low compared to
the all US private industry average (0.99 crops, 2.76 livestock vs. 3.20 all us
private industry) and production ag
rates for back pain are not much higher (0.79 crops, 0.88 livestock vs. 0.56
all us private industry) - see Table 1
• Population-based NHIS surveys are an improvement
over current OSHA 200 for reporting because they evaluate a nationally
representative sample of employees. More
ag-forestry-fishing occupation workers report exposures to musculoskeletal
hazards than do blue collar, white collar or service sector workers - see Table
2. However, fewer ag-forestry-fishing workers
report repeated trouble w/ back neck or spin, carpal tunnel syndrome or
tendonitis than do blue collar, white collar or service sectors worker. 18.2% of ag-forestry-fishing workers reported
“repeated trouble w/ back neck or spine” in the last year but only 10% reported
“any work injury”- see Table 3
• Ag-forestry-fishing is a broad category. When reanalyzed to include just production
ag, the percent of workers reporting “back pain for more than 1 wk last yr.” is
higher than the average for workers from all US private industries (16.7%
crops, 15.7% livestock vs. 10.7% all us private industry) - see Table 4
• Population-based FFHH survey data from small
and family farms in Colorado are even higher for , the percent of workers
reporting “back pain for more than 1 wk last yr.” (26% overall, 43% dairy, 27%
crop) see Table 4
• US and European studies using a common,
norm-referenced instrument have shown prod ag workers typically report
discomfort more often than workers in other industries (i.e. percent w/
discomfort greater than one standard deviation above norm for back in 11 of 17
studies, hand-wrist in 5 of 7, elbow in 4 of 6, elbow or hand-wrist in 6 of 11,
neck in 6 of 8, shoulder in 6 of 8, neck or shoulder in 4 of 10) - see Table 5
Conclusions:
• rates of exposures to musculoskeletal hazards are very
likely to be higher in prod ag work than most other occupations
• rates of diagnosed or
diagnosable back and upper extremity musculoskeletal injury and illness
combined in prod ag work are very likely to be higher (perhaps 50-100% higher)
than rates of traumatic injury
• rates of diagnosed or
diagnosable back and upper extremity musculoskeletal injuries and illnesses are
very likely to be higher in prod ag work than most other occupations
• musculoskeletal
disorders are likely costing prod ag employers $1-4 billion annually in direct
costs, perhaps as much as 2-10 times that figure when indirect costs are
included
Recommendations:
• improve
surveillance of work, work hazard exposures, and musculoskeletal injuries,
illnesses, discomfort and disability to a level of understanding comparable with
the understanding of traumatic injuries in production ag
• study the work
and the exposures to musculoskeletal hazards and then identify or develop safer
production methods and labor aids plus document their advantages
• conduct and
evaluate region-wide, community-based interventions by commodity to persuade
managers of production ag operations to adopt safer production methods and
labor aids