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Objective: The effects of an evening of heavy drinking on next-day occupational performance are mixed across studies and have not been investigated for ship-handling performance. Furthermore, it is not known whether the residual effects of alcohol on next-day performance are due to its effects on sleep. Method: Merchant marine cadets (N = 61) who had been trained on a diesel power plant simulator and who drank heavily at least episodically were given placebo beer one evening and were randomized on a second evening to placebo or real beer that resulted in a mean breath alcohol concentration (BrAC) of .115 g%. After an 8-hour sleep period, a meal, and a return to ≤ .02 g% BrAC, cadets were assessed with self-report measures and the power plant simulator. Results: No effects of beverage condition were seen on actual performance, although cadets who consumed alcohol rated their performance as impaired compared with the placebo conditions. Alcohol consumption also increased the Acute Hangover Scale score, improved perceived sleep quality, and decreased perceived latency to sleep onset while not affecting perceived sleep duration. Conclusions: While residual alcohol effects are found on some complex performance tasks, residual effects of .11 to .12 g% BrAC were not seen on ship engine simulator performance despite increased hangover symptoms and perceived impairment from the hangover. Therefore, this level of heavy drinking might not be deleterious to next-day routine occupational performance by young ship engineers despite the subjective iii effects. The perception that alcohol improves sleep onset might be a motivation for some to drink heavily. The effects on older engineers, at higher alcohol levels, and on other ship-handling tasks still need to be studied., ALTHOUGH THE EFFECTS OF even low doses of alcohol on occupational performance such as ship handling are documented (e.g., Howland et al., 2000, 2001), the effects of an evening of [...]

Background: NCI-Designated Cancer Centers provide key cancer research, prevention, and treatment services to members of their catchment area. Characterization of these areas may be complex given the diverse needs of the populations within, particularly those from low socioeconomic position (SEP). The purpose of this paper is to describe the characterization of the Dana-Farber/Harvard Cancer Center (DF/HCC) catchment area through using a two-pronged approach. Methods: Participants (n = 1,511) were recruited through (i) an online, probability-based survey (n = 1,013) and (ii) a supplementary, in-person survey from priority groups (African Americans, Latinos, blue-collar workers, low SEP, homeless; n = 498) within Massachusetts. Study staff worked closely with community partners across the state to reach individuals who may not usually be included in online surveys. Results: There were several differences across samples, with the community-based sample having a higher percentage of low SEP, low education, African Americans, and Latinos compared with the online sample. Differences were also noted in the cancer-related behaviors of the samples, with the community-based sample having higher rates of smoking, particularly within those who were homeless or make less than $20,000 per year. Fewer community-based subgroups were current with cancer screenings, and more showed more indication of potential communication inequalities compared with statewide estimates. Conclusions: The sampling strategy used to characterization of the DF/HCC catchment area provided broad, statewide estimates and additional focus on vulnerable populations, highlighting several potential areas for intervention. Impact: This study provides data to highlight the value of using multiple sampling strategies when characterizing cancer center catchment areas. [ABSTRACT FROM AUTHOR]