Development of an integrated fatigue measurement system for construction workers: a feasibility study.

BACKGROUND: Construction workers working in physically and mentally challenging environments experience high levels of occupational fatigue, which is the primary cause of industrial accidents and illnesses. Therefore, it is very important to measure fatigue in real time to manage the safety and health of construction workers. This study presents a novel approach for simultaneously measuring the subjective and objective fatigue of construction workers using ecological momentary assessment (EMA) and smartwatches. Due to the complexity and diversity of construction site environments, it is necessary to examine whether data collection using smartwatches is suitable in actual construction sites. This study aims to examine the feasibility of the integrated fatigue measurement method. METHODS: This study comprised two phases: (1) development of an integrated fatigue measurement system for construction workers, and (2) a validation study to evaluate the method's feasibility based on sensor data acquisition, EMA compliance, and feedback from construction workers in the field (N = 80). Three days of biometric data were collected through sensors embedded in the smartwatches for objective fatigue measurement, including heart rate, accelerometer, and gyroscope data. Two types of self-reported data regarding each worker's fatigue were collected through a researcher-developed EMA application. The acceptability and usability of this system were examined based on the researchers' observations and unstructured interviews. RESULTS: Based on the standardized self-report questionnaire scores, participants were classified into high (n = 35, 43.75%) and low (n = 45, 56.25%) fatigue groups for comparison. The quantitative outcomes did not show a statistically significant difference between the two fatigue groups. Both groups experienced positive emotions and were able to recognize their health condition at the time of self-reporting, but stated that responding to this measurement system could be burdensome. CONCLUSIONS: This feasibility study provides a unique understanding of the applications of EMA and smartwatches for safety management in the construction workforce. The developed measurement system shows potential for monitoring fatigue based on the real-time collection of relevant data. It is expected that by expanding this integrated system through further research and onsite application, the health and safety of construction workers can be improved.

Korean Version of the Swedish Occupational Fatigue Inventory among Construction Workers: Cultural Adaptation and Psychometric Evaluation.

The Swedish Occupational Fatigue Inventory (SOFI) has been tested in different languages and populations; thus, there is a need for a culturally adapted Korean version. We evaluated the psychometric properties of a Korean version of the SOFI among construction workers. The SOFI was translated into Korean and reviewed through a back-translation process involving standardized scaling procedures. Its reliability and validity were evaluated with a sample of 193 construction workers using internal consistency, item-subscale correlations, test-retest reliability, and content, construct, and concurrent validity. The Cronbach's alpha coefficients of the total scale and each subscale were satisfactory. Item-subscale correlations and test-retest reliability were both at acceptable levels. Confirmatory factor analyses revealed that the five-factor model had acceptable model fits corresponding to the structure of the original instrument. However, some modifications were made to improve in the new context from model fit (such as χ2(95) = 113.905 (p = 0.091), CFI = 0.994, and RMSEA = 0.033, as well as the lowest AIC = 383.905). Correlation analysis showed a significant relationship of SOFI with other fatigue measures in terms of total and subscale scores. Occupational fatigue is one of the important risk factors associated with workers' health and safety at work. The new translated instrument is a reliable and valid tool for assessing fatigue among Korean construction workers. However, this instrument should be tested extensively in other working populations to devise specific interventions concerning fatigue reduction.

Factors Associated with Poor Quality of Sleep in Construction Workers: A Secondary Data Analysis.

This study aimed to explore factors associated with poor quality of sleep in construction workers. This study was cross-sectional, correlational in design and used secondary data from fatigue instrument development study. We analyzed the data from 206 participants aged over 19 years who worked at construction sites for more than 6 months. We used multivariate binary logistic regression to identify the factors associated with poor quality of sleep. We classified the two sleep quality groups based on the Pittsburgh Sleep Quality Index (PSQI) score, and almost 63% of them were classified as the poor quality of sleep group. Based on multivariate binary logistic regression (Cox and Snell R2 = 0.317, Nagelkerke R2 = 0.429), the poor quality of sleep group tended to sleep for a shorter duration before the working day, and not only showed lower sleep latency and higher levels of daytime dysfunction and discomfort in daily life, but also had more chronic disease, depressive symptoms, and higher physical fatigue. Our study findings support that there are many modifiable factors associated with poor sleep and a high rate of poor quality of sleep occurred in construction workers. Thus, clinicians should consider providing diverse options for applying interventions to ensure better sleep, fatigue management, and depression prevention in construction workers after considering their unique characteristics.

Tcf7l2 transcription factor is required for the maintenance, but not the initial specification, of the neurotransmitter identity in the caudal thalamus.

BACKGROUND: Dysfunction of GABAergic and glutamatergic neurons in the brain, which establish inhibitory and excitatory networks, respectively, may cause diverse neurological disorders. The mechanism underlying the determination of GABAergic vs. glutamatergic neurotransmitter phenotype in the caudal diencephalon remains largely unknown. RESULTS: In this study, we investigated the consequence of Tcf7l2 (transcription factor 7-like 2) ablation on the neurotransmitter identity of GABAergic and glutamatergic neurons in the caudal diencephalon. We identified positive and negative activity in the control of glutamatergic and GABAergic neuronal gene expression by Tcf7l2. Loss of Tcf7l2 did not alter the initial acquisition of the neurotransmitter identity in thalamic neurons. However, glutamatergic thalamic neurons failed to maintain their excitatory neurotransmitter phenotype in the absence of Tcf7l2. Moreover, a subset of Tcf7l2-deficient thalamic neurons underwent a glutamatergic to GABAergic neurotransmitter identity switch. Our data indicate that Tcf7l2 may promote glutamatergic neuronal differentiation and repress GABAergic neurotransmitter identity in the caudal thalamus. CONCLUSIONS: This study provides evidence for a novel and crucial role of Tcf7l2 in the molecular mechanism by which the neurotransmitter identity of glutamatergic thalamic neurons is established. Our findings exemplify a clear case of neurotransmitter identity regulation that is partitioned into initiation and maintenance phases.