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G Earle-Richardson

Publications and source records attributed to G Earle-Richardson.

2 recordsLinked to original sources
PubMed2005

Estimating farmworker population size in New York State using a minimum labor demand method.

Assessment of health needs and services for hand-harvest farmworkers requires reliable population estimates. In New York State, the only publicly available source for these is the Department of Labor (DOL). However, published production data exist that may enable estimation of minimum labor demand (MLD) for hand-harvest labor. Our objective was to develop an estimation process for minimum labor demand (MLD) for hand-harvested crops in NYS and contrast the results with DOL estimates. Four crop strata (below ground, ground, bush/vine, and orchard) were identified. MLD (measured in worker-seasons) was estimated by dividing the total annual harvest hours required for each crop stratum by the total hours worked by one worker in a season for that crop stratum. The MLD estimate of the total number of worker seasons combined for all strata (14,121) was higher than that of the DOL (8,230). Harvest acreage was unavailable for 21% of the 991 county-crop combinations studied; therefore, data were imputed from other sources. Within these strata, the greatest difference was found for ground crops, where the DOL count was 28% of the size of the MLD estimate. DOL and MLD estimates were closest in orchard crops (DOL 109% of MLD). Publicly available data provide a potentially valuable source of informationfor estimation of the MLD. Use of these methods implies that the DOL may substantially underestimate the size of this population. Differences seen between the two methods were sensitive to the crop type. County-level farm surveys to verify MLD estimation factors would enhance the method's accuracy.

Agriculture↗
PubMed2004

Ergonomic analysis of New York apple harvest work using a Posture-Activities-Tools-Handling (PATH) work sampling approach.

Although back, neck, and shoulder strains are common among migrant and seasonal orchard workers, little data currently exist regarding the ergonomic factors contributing to this problem. We adapted Posture-Activities-Tools-Handling (PATH) instruments and methods for ergonomic job analysis of apple harvest work in three New York orchards, and used the resulting protocol to quantify hazardous activities, loads, and postures. Using a prototype developed previously, we trained twelve contract orchard observers with classroom training and supervised orchard practice. The PATH data were then collected on 14 orchard workers over four days (2,900 observations). Mean coefficients of variation ranged from a low of 0.212 (standing leg neutral) to a high of 0.603 (trunk moderate flexion). Most frequently observed activities were: picking (62.9%), placing and moving apples in the bag (8. 7%), and walking (8.1%). Weight bearing (>10 lb, >4.54 kg) was observed 78.5% of the time throughout a range of activities. Apple harvest work is comparable with other ergonomically high-risk occupations. Future research should focus on low-cost interventions that reduce load and awkward postures.

Agricultural Workers' Diseases↗