Objectives: This study was conducted to: 1) describe sleep duration, fatigue, daytime sleepiness, and occupational errors among Thai nurses and 2) explore the influence of sleep duration on fatigue, daytime sleepiness, and occupational errors. Methods: A cross-sectional design was implemented. A convenience sample of 233 full-time nurses with at least one year of work experience was recruited to participate in the study. Data were collected using self-reported questionnaires and 1-week sleep diaries. Descriptive and logistic regression statistics were performed using SPSS software. Results: The mean total sleep time was 6.2 hours. Of the total participants, 75.9% (n=167) experienced short sleep duration, 38.2% (n=84) experienced fatigue, and 49.5% (n=109) experienced excessive daytime sleepiness. Occupational errors were reported by 11.7% (n=25). Medication errors, incorrectly performed procedures, and needle stick injuries were reported by 6.5% (n=13), 5.6% (n=12), and 4.7% (n=10), respectively, of participants performing the associated activities. The "Short Sleep Duration" group experienced more fatigue (p=.044) and excessive daytime sleepiness (p=.001) compared with the "Adequate Sleep Duration" group. Although occupational errors were more common in the "Short Sleep Duration" group, the difference between the two groups did not reach the level of statistical significance. Multivariable logistic regression analysis found that short sleep duration was a statistically significant risk factor for excessive daytime sleepiness (OR=2.47, 95% CI=1.18-5.19). Conclusions: The majority of registered nurses experience short sleep duration. Short sleep duration increased the risk of excessive daytime sleepiness but not fatigue or occupational errors. Adequate night-time sleep is paramount for preventing daytime sleepiness and achieving optimal work performance.

The aim of this study was to describe patterns and potential risk factors for sleep disturbances, including that of sleep apnea, among Thai registered nurses. A descriptive, cross-sectional design was implemented. A sample of 233 registered nurses was recruited from 10 nursing departments from a tertiary hospital. Participants completed a one-time, self-report questionnaire and a 1 week-long sleep diary. Descriptive and logistic regression statistics were used for the analysis. Approximately 76% of nurses slept less than 7 h, 12.3% had difficulty initiating sleep, and 5% had difficulty maintaining sleep. Short sleep duration was prevalent, and night shift work schedules that exceeded 10 episodes/month were perceived as contributing to difficulties with initiating sleep. After excluding males from the analysis, the risk for depression related to short sleep duration becomes statistically significant. Organizational policies for registered nurses' shift work should include effective management of night shift assignments, as well as interventional strategies and policy directions, to promote sleep quality and mental health to ensure nurse well-being and patient safety. K E Y W O R D S nurse, shift schedule, short sleep, sleep apnea, sleep disturbances

PurposeThe purpose is to assess the effectiveness of continuous positive airway pressure (CPAP) treatment on sleep quality, daytime sleepiness and daytime functioning among Thai obstructive sleep apnea (OSA) patients.Design/methodology/approachA repeated measures clinical intervention design was implemented. Participants were 50 patients first time diagnosed with OSA and prescribed CPAP treatment. The intervention composed of CPAP health education, and follow-up evaluation. Data on CPAP adherence were downloaded from Smartcards of the CPAP device. The Thai PSQI, ESS and FSAQ-10 questionnaires were administered at baseline, 1-month, and 3-months. Descriptive statistics and repeated measure analysis with multilevel mixed-effects modeling approach were used.FindingsThirty-nine participants completed the study. Approximately 53% (n = 25) and 71.1% (n = 27) of the patients adhered to CPAP treatment by the end of the 1- and 3-months, respectively. After controlling for patients’ adherence, at 1-month follow-up, the intervention improved quality of sleep (β = −2.65, 95% CI = −1.60, −4.13), daytime functioning (β = 3.24, 95% CI = 1.87, 4.61) and decreased daytime sleepiness (β = −3.29, 95% CI = −1.85, −4.73). At 3 months, the intervention still improved quality of sleep (β = −3.53, 95% CI = −2.05, −5.01), and daytime functioning (β = 4.34, 95% CI = 2.76, 5.92), and decreased daytime sleepiness (β = −4.82, 95% CI = −3.16, −6.49).Originality/valueAdherence to CPAP treatment is effective in improving sleep quality, daytime functioning and reducing daytime sleepiness. Patient-oriented strategies for enhancing CPAP adherence should be developed and implemented as a standard care in sleep clinics.

Purpose The purpose of this paper is to explore the prevalence and determinants of poor sleep quality among industrial workers in Thailand. Additionally, the authors assess the risk of work-related injuries associated with poor sleep quality. Design/methodology/approach A descriptive correlational research was implemented. A total of 472 workers from the northern region of Thailand contributed to this study. Sleep quality was assessed by the Thai version of the Pittsburgh Sleep Quality Index (Thai-PSQI). The score of more than five indicated poor sleep quality. Participants completed self-administered demographic, work characteristics and work-related injury questionnaires. Data were analyzed by applying descriptive and logistic regression statistical techniques. Findings More than one-third of the workers had reported poor sleep quality. Results from multivariable logistic regression analysis yielded male gender (OR = 2.74, 95% CI 1.46–5.17), alcohol drinking (OR=2.1, 95% CI 1.24–3.35), pain (OR=2.05, 95% CI 1.32–3.17) and rotating shift work (OR=1.94, 95% CI 1.23–3.05) increased the risk of poor sleep quality. Furthermore, poor sleep quality was statistically significantly associated with the risk of work-related injuries (OR = 3.98, 95% CI = 2.39–6.66). Originality/value Findings of this study indicate that the prevalence of poor sleep quality is high among industrial workers. Work characteristics and health behaviors were associated with poor sleep quality which increases the risk of work-related injuries. Modification of work environment and personal life style choices can improve quality of sleep among workers and consequently lower incidence of work-related injuries.

Objectives. To develop fundal height (FH) growth curve from normal singleton pregnancy based on last menstrual period (LMP) and/or ultrasound dating for women in the northern part of Thailand. Methods. A retrospective time-series study was conducted at four hospitals in the upper northern part of Thailand between January 2009 and March 2011. FH from 20 to 40 weeks was measured in centimeters. The FH growth curve was presented as smoothed function of the 10th, 50th, and 90th percentiles, which were derived from a regression model fitted by a multilevel model for continuous data. Results. FH growth curve was derived from 7,523 measurements of 1,038 women. Gestational age was calculated from LMP in 648 women and ultrasound in 390 women. The FH increased from 19.1 cm at 20 weeks to 35.4 cm at 40 weeks. The maximum increase of 1.0 cm/wk was observed between 20 and 32 weeks, declining to 0.7 cm/wk between 33 and 36 weeks and 0.3 cm/wk between 37 and 40 weeks. A quadratic regression equation was FH (cm) = −19.7882 + 2.438157 GA (wk) − 0.0262178 GA2 (wk) (R-squared = 0.85). Conclusions. A demographically specific FH growth curve may be an appropriate tool for monitoring and screening abnormal intrauterine growth.