To determine the prevalence of carpal tunnel syndrome (CTS) in Latino poultry processing workers.
Symptoms and nerve conduction studies were used to prospectively assess 287 Latino poultry processing workers and 226 Latinos in other manual labor occupations.
The prevalence of CTS was higher in poultry processing (8.7%) compared to non-poultry manual workers (4.0%, p < 0.0001). The adjusted odds ratio for the prevalence of CTS in poultry workers was 2.51 (95% CI of 1.80 to 3.50) compared to non-poultry workers. Within the poultry workers, those who performed packing, sanitation, and chilling had a trend toward less CTS than those who performed tasks requiring more repetitive and strenuous hand movements.
Latino poultry processing workers have a high prevalence of CTS, which likely results from the repetitive and strenuous nature of the work.
Carpal tunnel syndrome (CTS) is a common condition with an estimated prevalence in the general population of 2.7% and healthcare costs in the United States exceeding $500 million per year.(
Poultry processing involves strenuous and repetitive work, with workers at risk for overuse injuries.(
Across the United States, the poultry processing workforce has become largely composed of immigrants, with Latinos making up a large proportion.(
Latinos in poultry and non-poultry manual labor occupations were recruited in four western North Carolina counties from June 2009 to November 2010 to participate in a study assessing musculoskeletal, dermatologic, and respiratory conditions in these populations. Since there was not access to workplaces, community-based sampling of dwelling units was performed with a focus on regions with a high proportion of Latino residents. Only those who self-identified as Latino or Hispanic, were age 18 or older, and who worked 35 hours or more per-week in a manual labor job were recruited. Work in poultry was defined as any type of non-supervisory work in a poultry processing plant with job categories from receiving through sanitation, and employees of poultry production farms were excluded. Manual labor jobs were defined as employment in non-managerial jobs in industries such as landscaping, construction, restaurant work, hotel work, child care, and manufacturing. Non-poultry workers with previous work in poultry only qualified if lifetime employment in poultry processing was 6 months or less, and not within the past two years. More than one resident per dwelling could be recruited, if eligible. Those who chose to enroll in the study underwent an hour-long interview and then attended a data collection clinic. The data collection clinics occurred on seven Sundays evenly dispersed throughout the study period. All participants signed informed consent and the study was approved by the Institutional Review Board of Wake Forest School of Medicine. Each participant was paid $40 for participating in the data collection clinic.
Over the course of the study 1,526 individuals were screened and 957 were eligible for enrollment. Of those, 742 underwent interviews and 518 attended the data collection clinics. Five individuals left the data collection clinics prior to undergoing nerve conduction studies, which resulted in 513 that had nerve conduction studies and filled out hand diagrams (1026 wrists). Of those, 287 (574 wrists) were poultry workers and 226 (452 wrists) were in non-poultry manual labor.
Each participant’s height and weight were recorded. They were asked if they had numbness, pain, or weakness in their hands for two or more days in the previous month. If they answered affirmatively, they completed the Katz hand diagram to indicate distribution of symptoms. The hand diagrams were scored “unlikely” (0), “possible” (1), “probable” (2), or “classic” (3) for CTS based upon previously published methods for scoring of the diagram, and each diagram was scored by two clinicians (MSC and FOW) blinded to the participant’s occupation and nerve conduction results.(
All study participants underwent bilateral nerve conduction studies using a Teca TD10 Electromyograph (Teca Corporation, Pleasantville, NY). The studies were performed by experienced technicians blinded to the participant’s occupation and clinical evaluations. Hands were warmed to 32 degrees Celsius, and median and ulnar antidromic sensory studies were performed, stimulating the wrist and recording with ring electrodes 140 mm distally on the 2nd and 5th fingers. The onset and peak latencies were recorded, and those without median sensory potentials underwent orthodromic median motor studies recording from the abductor pollicis brevis muscle.
A combination of symptoms, as reported through the Katz hand diagram, and nerve conduction abnormalities, was used to define CTS. If the hand diagram was scored a 1, 2, or 3, then the participant was assigned a score of “1” for symptoms; if not, the participant was assigned a “0.” Peak median and ulnar sensory latencies were compared. If the median was less than 0.49 ms longer than the ulnar, it was scored a “0”; if it was 0.50 to 0.79 ms longer, it was scored a “1”; and if it was greater than 0.80 ms longer, it was scored a “2.” The symptom score and nerve conduction score were then added, and a total score of 0 was defined as “no CTS,” 1–2 as “possible CTS,” and 3 as “CTS.” Similar CTS case definitions, with 0.50 ms and 0.80 ms cutoffs for peak latency difference, have been used in previous studies.(
Poultry processing workers underwent standardized interviews regarding their work schedule and environment. Workers were asked to identify which of the following tasks they performed: cutting, eviscerating, washing, trimming, deboning, receiving, hanging, killing, plucking, packing, sanitation, chilling, and other. Those who performed a single task greater than 50% of the time were categorized into that task for statistical analyses, and those who performed multiple duties and no single task occupied more than 50% of their time were categorized into “multiple tasks.” Many of the tasks were similar in nature, so to assist in analysis four groups were created to determine if similar tasks increased the risk of CTS. The groups include: packing, sanitation, chilling, and other (category 1); cutting, eviscerating, wash-up, trimming, and deboning (category 2); receiving, hanging, killing, and plucking (category 3); and multiple jobs (category 4).
Descriptive statistics were calculated as means and standard deviations for continuous variables, and percentages and frequencies for discrete variables. Demographics between the poultry and non-poultry groups were compared using Student’s t-tests for continuous variables and chi-square tests of association for categorical variables. The prevalence of CTS was compared between the two groups using a chi-square test of association, and this was done at the level of individual wrists and participants. Adjusted odds ratios and 95% confidence intervals predicting the prevalence of CTS were calculated using ordinal logistic regression and adjusting for age, BMI, sex, occupation, and clustering amongst individuals. In poultry workers, variables were analyzed to determine if they predicted the prevalence of CTS by calculating p-values using ordinal logistic regression for continuous variables and chi-square tests of association for categorical variables, and this was done at the wrist level. Similar occupational duties were grouped together for analysis, as described above under “Measures.” The score test for the proportional odds assumption was used to validate all models. All p-values were considered significant at the 0.05 level and statistical calculations were performed using SAS Version 9.2 (SAS, Cary, NC).
The demographic characteristics for the poultry processing workers and non-poultry workers are described in
The prevalence of CTS was higher in the poultry workers than the non-poultry workers (p < 0.0001), and this held true when the prevalence was evaluated by considering either the wrist or the worker as an individual unit for statistical analysis (
In the 287 poultry workers (574 wrists), greater age was seen in those with CTS compared to those with possible or no CTS (
In this study, multiple analyses were performed, both at the level of the wrist and the individual, and the prevalence of CTS was consistently higher in Latino poultry processing workers compared to other Latino manual workers. The prevalence of CTS in the non-poultry manual workers (2.4% of wrists and 4.0% of individuals) was similar to the prevalence in the general population found in previous studies,(
The actual prevalence of CTS in the poultry workers depends on the parameters used to define CTS. The most sensitive combination of symptoms and nerve conduction studies results in 48% of the wrists and 59.2% of the individuals categorized as possible or definite CTS, whereas the most specific combination of parameters results in 6.5% of the wrists and 8.7% of the individuals categorized as definite CTS. The true prevalence certainly lies somewhere between these values, but no matter which definition is used, it is clear the prevalence of CTS is high in this population.
Some limitations exist in this study. First, defining CTS in a large population such as this can be challenging, as it is not feasible to obtain a detailed history, physical examination, and electrodiagnostic study on each participant. We opted to use a combination of self-reported symptoms and sensory nerve conduction studies to assess for CTS. While this is less thorough than the evaluation performed by a meticulous clinician on an individual patient, it is at least as complete as other studies in which large populations were screened for CTS.(
The high prevalence of CTS in this population indicates that measures should to be taken to reduce the amount of repetitive strain on the hands and wrists of poultry processing workers and to increase early identification of CTS. Since some poultry processing tasks (such as packing, sanitation, and chilling) were associated with less CTS, one consideration would be for all workers to rotate through these tasks on regular intervals. Other interventions, such as an emphasis on ergonomics, should also be considered, although the data supporting this type of intervention are limited.(
Demographic Characteristics in the Poultry and Non-poultry Laborers
| Characteristic | All Laborers | Poultry | Non-poultry | p-value |
|---|---|---|---|---|
| Age | 34.7 [10.4] | 36.3 [11.2] | 32.7 [9.1] | < 0.0001 |
| Height (cm) | 157.7 [8.4] | 157.2 [8.3] | 158.4 [8.6] | 0.0934 |
| Weight (kg) | 71.9 [13.6] | 70.8 [12.9] | 73.3 [14.3] | 0.0344 |
| BMI | 28.9 [4.9] | 28.6 [4.5] | 29.2 [5.3] | 0.1739 |
| Gender | 0.6591 | |||
| Male | 278 (54.2) | 158 (55.0) | 120 (53.1) | |
| Female | 235 (45.8) | 129 (45.0) | 106 (46.9) | |
| Spoken Language | 0.2858 | |||
| Indigenous | 106 (20.8) | 64 (22.5) | 42 (18.7) | |
| Non-indigenous | 403 (79.2) | 220 (77.5) | 183 (81.3) | |
| Education | 0.0354 | |||
| 0 – 6 yrs | 298 (58.1) | 181 (63.1) | 117 (51.8) | |
| 7 – 9 yrs | 120 (23.4) | 60 (20.9) | 60 (26.5) | |
| 10+ yrs | 95 (18.5) | 46 (16.0) | 49 (21.7) |
The Prevalence of Carpal Tunnel Syndrome in Poultry and Non-poultry Laborers
| Overall N (column %) | Poultry N (column %) | Non-poultry N (column %) | p-value | |
|---|---|---|---|---|
| < 0.0001 | ||||
| No CTS | 632 (61.6) | 299 (52.1) | 333 (73.7) | |
| Possible CTS | 346 (33.7) | 238 (41.5) | 108 (23.9) | |
| Definite CTS | 48 (4.7) | 37 (6.5) | 11 (2.4) | |
| < 0.0001 | ||||
| No CTS | 264 (51.5) | 117 (40.8) | 147 (65.0) | |
| Possible CTS | 215 (41.9) | 145 (50.5) | 70 (31.0) | |
| Definite CTS | 34 (6.6) | 25 (8.7) | 9 (4.0) |
Adjusted Odds Ratios for the Prevalence of Carpal Tunnel Syndrome (N = 1026 wrists)
| Characteristic | AOR | 95% CI | p-value |
|---|---|---|---|
| Type of Work | < 0.0001 | ||
| Poultry | 2.51 | (1.80, 3.50) | |
| Non-poultry | --- | --- | |
| Age | 1.04 | (1.02, 1.06) | < 0.0001 |
| BMI | 1.08 | (1.05, 1.12) | 0.0001 |
| Gender | 0.8733 | ||
| Female | 1.03 | (0.74, 1.43) | |
| Male | --- | --- |
Adjusted odds ratio
Characteristics Potentially Associated with Carpal Tunnel Syndrome in Poultry Workers (N = 574 wrists)
| Characteristic | No CTS | Possible CTS | CTS | Multivariate Analysis | |
|---|---|---|---|---|---|
| AOR | p-value | ||||
| Age | 34.4 [11.0] | 38.2 [10.7] | 40.1 [12.1] | 1.04 | 0.0008 |
| BMI | 28.1 [4.4] | 29.0 [4.4] | 30.3 [5.5] | 1.04 | 0.0842 |
| Gender | |||||
| Female | 131 (50.8) | 108 (41.9) | 19 (7.4) | 1.09 | 0.7045 |
| Male | 168 (53.2) | 130 (41.1) | 18 (5.7) | --- | --- |
| Poultry Job Task | 0.0283 | ||||
| Category 1 | 123 (58.6) | 75 (35.7) | 12 (5.7) | --- | --- |
| Category 2 | 129 (50.4) | 115 (44.9) | 12 (4.7) | 1.57 | 0.0661 |
| Category 3 | 21 (47.7) | 16 (36.4) | 7 (15.9) | 2.09 | 0.1156 |
| Category 4 | 26 (40.6) | 50 (50.0) | 6 (9.4) | 2.66 | 0.0035 |
Adjusted odds ratio
Reference category
Category 1: Packing, Sanitation, Chilling, Other
Category 2: Cutting, Eviscerating, Wash-up, Trimming, Deboning
Category 3: Receiving, Hanging, Killing, Plucking
Category 4: Multiple job tasks