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Population demographics in the United States are rapidly changing with increased dependence on home healthcare (HHC) by an aging population, patients suffering from chronic diseases, and inability to perform activities of daily living. Despite the occupational injury rates for HHC workers (HHCW) being higher than the national average, an understanding of the occupational safety and health experiences and exposures of HHCW is limited. The purpose of this study was to understand the health and safety risk factors for HHCW. One-on-one interviews were conducted with HHCW to elicit frequency of daily occupational exposures to hazards and risk factors during visits to patients' homes. Approximately 67% of the study population was over 40 years old and mostly obese, potentially increasing risk for injury. HHCW routinely perform physical tasks with increased risk for occupational musculoskeletal injuries. Exposures to drug residue from dispensing oral medications and anticancer medications and exposure to potentially infectious agents and cleaning chemicals used for infection prevention were reported. The majority of HHCW were also exposed to secondhand smoke and occasionally experienced violence. Developing and implementing intervention strategies that address engineering controls, establish employee safety-related policies, provide training and retraining, promote a healthy lifestyle among HHCW, and providing suitable personal protective equipment may help to decrease occupational injury rates.

Extreme chronotype and circadian disrupting work hours may increase nurse disease risks. This national, cross-sectional study of nurses (N = 527) had three hypotheses. When chronotype and shift times are incongruent, nurses will experience increased likelihood of (1) obesity, (2) cardiovascular disease/risk factors, and (3) obesity or cardiovascular disease/risk factors when theoretically linked variables exist. Chronotype mismatched nurses’ (n = 206) average sleep (6.1 hours, SD = 1.2) fell below 7–9 hours/24-hours sleep recommendations. Proportion of male nurses was significantly higher chronotype mismatched (12.3%) than matched (6.3%). Analyses found no direct relationship between chronotype match/mismatch with outcome variables. Exploratory interaction analysis demonstrated nurses with mismatched chronotype and above average sleep quality had an estimated 3.51 times the adjusted odds (95% CI 1.52,8.17; p = .003) of being obese. Although mechanism is unclear, this suggests sleep quality may be intricately associated with obesity. Further research is needed to inform nurses on health risks from disrupted sleep, chronotypes, and shift work.