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Fulltext Exploratory study of brain waves and corresponding brain regions of fatigue on-call doctors using quantitative electroencephalogram

Xavier G, Su Ting A, Fauzan N

J Occup Health, 2020 Jan;62(1):e12121.
PMID: 32515890 DOI: 10.1002/1348-9585.12121

OBJECTIVES: It is common to find doctors working long and odd hours and many at times without rest and sleep. Despite the evidence of adverse risk, jeopardizing patient safety under the hands of fatigue doctors under such working hours has not changed in many places. It has argued that with such training and subsequent experience, such issues with patient safety reduce. Fatigue too is argued as subjective, as those who can withstand the stress still perform. Nevertheless, undeniably working under fatigue is not safe for both the patient and the doctor. This study is a novel attempt to explore and objectify the state of fatigue using quantitative EEG among post-call doctors.
METHOD: Seven volunteer post-call doctors were recruited to go through an EEG recording before and after their on-call rotation while at rest and subsequently while carrying out Stroop Test, putting their cognitive function at work.
RESULTS: The doctors have worked up to 33 hours in a row and have had sleep of an average of 1.5 hours. It is found that during task there is a statistically significant increase in theta (frontal and occipital regions) and beta (occipital region) band power while at task post-call. Alpha band power is increased in the frontal and reduced in other regions. Correlation with Stroop Test results indicated that those who have higher alpha, beta, and lower relative theta powers at the frontal region at post-call rest have higher percentage of correct congruent trials.
CONCLUSION: The results objectively imply that these fatigue doctors are under more strain while carrying out a task and corresponds to the implicated regions of brain stimulated by the task accordingly.

Matched MeSH terms: Work Schedule Tolerance/physiology*
Fulltext The association of shift work and hypertension among male factory workers in Kota Bharu, Kelantan, Malaysia

Nazri SM, Tengku MA, Winn T

Southeast Asian J Trop Med Public Health, 2008 Jan;39(1):176-83.
PMID: 18567459

Shift work associated with various health problems and there is concern that shift workers are at higher risk to develop hypertension. A cross-sectional study was conducted from December 2003 to May 2004 to compare the prevalence of hypertension and to examine the relationship between shift work and hypertension among 148 randomly selected male workers from one of the factories in Kota Bharu, Kelantan. Information on psychosocial and life-style factors, anthropometric and blood pressure measurements, and fasting blood sugar and lipid profiles analyses were obtained. The prevalence of hypertension was significantly higher among shift workers (22.4%) compared to day workers (4.2%), with p-value of 0.001. Shift work was significantly associated with hypertension (adjusted odds ratio 9.1; 95% CI 1.4-56.7).

Matched MeSH terms: Work Schedule Tolerance/physiology*
Association between night-shift work, sleep quality and metabolic syndrome

Lim YC, Hoe VCW, Darus A, Bhoo-Pathy N

Occup Environ Med, 2018 10;75(10):716-723.
PMID: 30032104 DOI: 10.1136/oemed-2018-105104

OBJECTIVES: Occupational factors, particularly night-shift work, are attracting growing interest as a possible determinant of metabolic syndrome (MetS). This study aimed to determine the association between night-shift work and MetS, and assess whether sleep quality is a mediating factor.
METHODS: A cross-sectional study was conducted among Malaysian manufacturing workers, aged 40-65 years old. They completed a self-administered questionnaire on sociodemographics, lifestyle and family history, and the Pittsburgh Sleep Quality Index (PSQI) questionnaire. Waist circumference, blood pressure, fasting blood sugar, triglycerides and high-density lipoprotein levels were measured. Baron and Kenny's method, Sobel test and multiple mediation models with bootstrapping were used to determine whether the PSQI global score or its components mediated the association between night-shift work and MetS.
RESULTS: Of the 494 participants, 177 (36%) worked night shift and 51% were men. The prevalence of MetS was 37%. Night-shift work was independently associated with a twofold increase in the risk of MetS (adjusted OR: 1.92, 95% CI 1.24 to 2.97). However, the association between night-shift work and MetS did not appear to be modified by sex. Night-shift workers also reported significantly poorer sleep quality, longer sleep latency, shorter sleep duration, sleep disturbances and daytime dysfunction. Robust mediation analysis nonetheless showed that neither PSQI global score nor its components mediated the association between night-shift work and MetS.
CONCLUSION: Early screening and management of MetS and the development of programmes to improve sleep quality should be carried out among night-shift workers. Future research should investigate other modifiable mediators linking night-shift work and MetS.

Matched MeSH terms: Work Schedule Tolerance/physiology*

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