Associations among social capital, parenting for active lifestyles, and youth physical activity in rural families living in upstate New York.

While emerging research supports a positive relationship between social capital and youth physical activity (PA), few studies have examined possible mechanisms explaining this relationship and no studies have focused on rural youth. In this study, we examined parents' support of children's PA as an intermediary factor linking social capital and youth PA in a largely rural cross sectional sample of American children aged 6- to 19-years and their parents/guardians (N=767 families) living in upstate New York. Parents completed a self-administered survey assessing demographic factors, perceived social capital, support for children's PA, and children's PA including time spent outdoors and days per week of sufficient PA. Structural equation modeling was used to test the hypothesis that higher social capital is linked with higher parental support for PA and, in turn, higher PA in children. Analyses were conducted separately for younger (6-12 years) and older (13-19 years) children and controlled for demographic factors (child age, household education, participation in a food assistance program) and perceived neighborhood safety. Anticipated relationships among social capital, parents' activity-related support, and children's PA were identified for older, but not younger children. Findings suggest that parent support for children's PA is one possible mechanism linking social capital and youth PA and the parents of adolescents may rely more heavily on cues from their social environment to shape their approaches to supporting their children's PA than parents of younger children.

Improving agricultural injury surveillance: a comparison of incidence and type of injury event among three data sources.

BACKGROUND: Agriculture ranks as one of the most hazardous industries in the nation. Ongoing injury surveillance is key to identifying and preventing major sources of injury. OBJECTIVE: The objective of this study was to compare the total number and types of injuries identified from community reporting versus two newly available medical data systems. These new systems are important because they are less time consuming and expensive to maintain. METHOD: Farm injury case records from 2007 were collected for 10 NY counties from the following sources: ambulance reports, hospital data, and community surveillance data. RESULTS: For the 107 ambulance report cases, horses (35%), tractors (15%), and livestock (10%) were the three leading injury sources. For the 261 hospital cases, the leading sources were hand tools (24%), farmstead machinery (23%), and buildings/structures/surfaces (22%). Tractor injuries (37%) were the most common source of injuries identified by the 44 community surveillance cases. Struck by object was the most frequent injury event type for hospital and surveillance data (34%, 30%). Falls were the highest category for ambulance reports (36%) and were also common for hospital data (29%). Nine of the 11 fatal cases were found through community surveillance. CONCLUSION: Ambulance reports and hospital data contribute a large number of additional farm injury cases to existing surveillance data. From these cases, horse injuries, falls, and hand tool injuries appear to play a larger role in farm injuries. Future research should explore how to best use these electronic resources for agricultural injury surveillance.

The social marketing of safety behaviors: a quasi-randomized controlled trial of tractor retrofitting incentives.

OBJECTIVES: We assessed the effect of social marketing incentives on dispositions toward retrofitting and retrofitting behavior among farmers whose tractors lacked rollover protective structures. METHODS: From 2006 to 2007, we conducted a quasi-randomized controlled trial with 391 farm owners in New York and Pennsylvania surveyed before and after exposure to 1 of 3 tractor retrofitting incentive combinations. These combinations were offered in 3 trial regions; region 1 received rebates; region 2 received rebates, messages, and promotion and was considered the social marketing region; and region 3 received messages and promotion. A fourth region served as a control. RESULTS: The social marketing region generated the greatest increases in readiness to retrofit, intentions to retrofit, and message recall. In addition, postintervention stage of change, intentions, attitudes, subjective norms, and perceived behavioral control levels were higher among farmers who had retrofitted tractors. CONCLUSIONS: Our results showed that a social marketing approach (financial incentives, tailored messages, and promotion) had the greatest influence on message recall, readiness to retrofit tractors, and intentions to retrofit tractors and that behavioral measures were fairly good predictors of tractor retrofitting behaviors.

Occupational injury and treatment patterns of migrant and seasonal farmworkers.

Migrant and seasonal farmworkers are thought to be at increased risk for occupational injury and illness. Past surveillance efforts that employed medical chart review may not be representative of all farmworkers, since the proportion of farmworkers using migrant health centers (MHCs) and area hospital emergency rooms (ERs) was unknown. The purpose of the current study was to determine the proportion of workers using MHCs versus other sources of occupational health care, and to use these data to correct previous occupational injury and illness rate estimates. Researchers conducted a survey of migrant and seasonal farmworkers in two sites: the Finger Lakes Region of New York and the apple, broccoli, and blueberry regions of Maine. Researchers also conducted MHC and ER medical chart reviews in these regions for comparison purposes. Proportions of occupational morbidity by treatment location were calculated from the survey, and a correction factor was computed to adjust chart review morbidity estimates for Maine and New York State. Among 1103 subjects, 56 work-related injuries were reported: 30 (53.6%) were treated at a MHC, 8 (14.3%) at an ER, 9 (16.1%) at some other location (e.g., home, relative, chiropractor), and 9 (16.1%) were untreated. Mechanisms of injuries treated at MHCs versus all other sources did not differ significantly. The survey-based multiplier (1.87) was applied to previous statewide MHC chart review injury counts from Maine and New York. The corrected injury rates were 7.9 per 100 full-time equivalents (FTE) per year in Maine, and 11.7 per 100 FTE in New York. A chart-review based surveillance system, combined with a correction factor, may provide an effective method of estimating occupational illness and injury rates in this population.

Estimating the occupational morbidity for migrant and seasonal farmworkers in New York state: a comparison of two methods.

PURPOSE: Compare occupational morbidity estimates for migrant and seasonal farmworkers obtained from survey methods versus chart review methods and estimate the proportion of morbidity treated at federally recognized migrant health centers (MHCs) in a highly agricultural region of New York. METHODS: We simultaneously conducted 1) an occupational injury and illness survey among agricultural workers, 2) MHC chart reviews, and 3) hospital emergency room (ER) chart reviews. RESULTS: Of the 24 injuries reported by 550 survey subjects, 54.2% received treatment at MHCs, 16.7% at ERs, 16.7% at some other facility, and 12.5% were untreated. For injuries treated at MHCs or ERs, the incidence density based on survey methods was 29.3 injuries per 10,000 worker-weeks versus 27.4 by chart review. The standardized morbidity ratio for this comparison was 1.07 (95% confidence intervals = 0.65-1.77). CONCLUSIONS: Survey data indicated that 71% of agricultural injury and illness can be captured with MHC and ER chart review. MHC and ER incidence density estimates show strong correspondence between the two methods. A chart review-based surveillance system, in conjunction with a correction factor based on periodic worker surveys, would provide a cost-effective estimate of the occupational illness and injury rate in this population.