Publications by authors named "E Sefcik"

Little is known about how demographic, employment and meteorological factors impact physical activity. We conducted an analysis to explore these associations from participants ( = 447) from six cities in the United States and matched their activity data with abstracted local meteorological data from National Oceanic and Atmospheric Administration (NOAA) weather reports. Participants were purposively recruited in 3-month blocks, from December 2015 to October 2017, to reflect physical activity engagement across the seasons.

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Background: Effective smoking cessation interventions (SCIs) are urgently needed for the working population where smoking continues at high rates. Occupational health nurses (OHNs) could be effective in providing SCI, but self-efficacy was found to be a major barrier. The purpose of this study was to improve the delivery of SCI to those who smoke in the workplace and to explore nurse self-efficacy.

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Lack of culturally sensitive, age-specific diabetes education in Mexican American older aged people may contribute to deficits in diabetes knowledge, self-management, and glycemic control. This quality improvement initiative applied evidence-based, culturally competent, age-specific education to improve health outcomes. A one-group, pretest/posttest design guided this project in a primary care community clinic.

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Effective smoking cessation interventions (SCIs) are indicated, particularly among the working population, where a higher than expected prevalence of smoking continues. Occupational health nurses' (OHN) self-efficacy can affect SCI but current scientific literature is limited. The purpose of this integrative literature review was to determine factors that affect OHN self-efficacy and motivation for providing SCI and to guide research needed to enhance SCI programs.

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Social media tools have been touted as an approach to bring more democratic communication to health care. We conducted a multi-site cross-sectional study among persons living with HIV (PLWH) to desrcibe technology use among PLWH in the US and the association between social media use and body-mass index (BMI). Our primary predictor variable was social media use.

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