Using Twitter for Nursing Research: A Tweet Analysis on Heat Illness and Health.

Aim: To provide an example of a tweet analysis for nurse researchers using Twitter in their research.

Design: A content analysis using tweets about "heat illness + health."

Methods: Tweets were pulled from Twitter's application programming interface with premium access using Postman and the key words "heat illness + health.

Analyzing the predictors of health care utilization in the agricultural worker population using decision tree analysis: Does language matter?

Objectives: To analyze the predictors of health care utilization among respondents to the National Agricultural Worker Survey. Specifically, we hypothesized that English proficiency would predict utilization of health care services within the last 2 years.

Methods: Using the 2015-2016 National Agricultural Worker Survey, we performed a secondary data analysis to analyze the predictors of health care utilization within the last 2 years in the United States' agricultural worker population.

Elevated Core Temperature in Florida Fernery Workers: Results of a Pilot Study.

With expected increases in extreme weather, there may be a greater risk of injury from extreme heat in outdoor worker populations. To plan for future adaptation measures, studies are needed that can characterize workers' physiologic responses to heat in outdoor settings such as agriculture. The objective of this study was to characterize occupational heat exposure, key vulnerability factors (e.

Examining Agricultural Workplace Micro and Macroclimate Data Using Decision Tree Analysis to Determine Heat Illness Risk.

Objective: This study was designed to examine the associations between regional weather data and agricultural worksite temperatures in Florida.

Methods: Florida farmworkers (n = 105) were each monitored using iButton technology paired with simultaneous data from regional weather stations. Conditional inference tree models were developed for (1) regional environmental temperatures and iButton (worksite) temperatures, and (2) regional heat index (HI) and iButton HI.

Farmworker Vulnerability to Heat Hazards: A Conceptual Framework.

Purpose: To review factors that impact the effect of hot environments on the human body in order to develop a conceptual model of human biological response.

Methods: The organizing concept for the model development was the multilevel integration of three major factors, exposure to heat, sensitivity and adaptive capacity, and the heat stress response. Exposure of a vulnerable occupational group was used to illustrate the components of the model.

Heat Exposure in Central Florida Fernery Workers: Results of a Feasibility Study.

Objective: The objective of this study was to determine the feasibility of field-based biomonitoring of heat-related illness (HRI) phenomena in Florida farmworkers. The authors determined feasibility through participant interviews regarding acceptability, data capture, recruitment and retention, and observed barriers and challenges to implementation.

Methods: Study participants were employed in fernery operations in northeast Central Florida where ornamental ferns are grown and harvested in a seasonally high-heat environment.