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Original Research

Occupational Outcomes Associated with Sleep Quality and Excessive Daytime Sleepiness: Results from a National Survey

Pages 875-882 | Published online: 30 Oct 2020

Figures & data

Table 1 Demographics of the Employed Survey Respondents

Table 2 Prevalence of Sleep-Related Parameters in the Employed Survey Respondents

Figure 1 Binary logistic regression examining the associations between demographic and sleep parameters and missing work, making errors at work, or falling asleep at work for the entire employed population. Reference categories are male for gender, married for marital status, manual worker for employment type, never took sleeping medications for sleeping medications, good sleep quality for subjective sleep quality, 0–29 minutes for sleep latency, and normal for ESS. Points represent odds ratios (OR), error bars represent 95% confidence intervals (CI). *p < 0.05; ***p < 0.001.

Abbreviations: BMI, body mass index; SM, sleep medication; SQ, sleep quality; SL, sleep latency; ESS, Epworth Sleepiness Scale.
Figure 1 Binary logistic regression examining the associations between demographic and sleep parameters and missing work, making errors at work, or falling asleep at work for the entire employed population. Reference categories are male for gender, married for marital status, manual worker for employment type, never took sleeping medications for sleeping medications, good sleep quality for subjective sleep quality, 0–29 minutes for sleep latency, and normal for ESS. Points represent odds ratios (OR), error bars represent 95% confidence intervals (CI). *p < 0.05; ***p < 0.001.

Figure 2 Binary logistic regression examining the associations between demographic and sleep parameters and missing work, making errors at work, or falling asleep at work for blue- and white-collar workers. Reference categories are male for gender, married for marital status, manual worker for employment type, never took sleeping medications for sleeping medications, good sleep quality for subjective sleep quality, 0–29 minutes for sleep latency, and normal for ESS. Points represent odds ratios (OR), error bars represent 95% confidence intervals (CI). *p < 0.05; **p <0.01; ***p < 0.001.

Abbreviations: BMI, body mass index; SM, sleep medication; SQ, sleep quality; SL, sleep latency; ESS, Epworth Sleepiness Scale.
Figure 2 Binary logistic regression examining the associations between demographic and sleep parameters and missing work, making errors at work, or falling asleep at work for blue- and white-collar workers. Reference categories are male for gender, married for marital status, manual worker for employment type, never took sleeping medications for sleeping medications, good sleep quality for subjective sleep quality, 0–29 minutes for sleep latency, and normal for ESS. Points represent odds ratios (OR), error bars represent 95% confidence intervals (CI). *p < 0.05; **p <0.01; ***p < 0.001.