Dewi Yunia Fitriani

Objective: This study investigated the effects of three chronic stress exposure models (permanent elimination, forced swimming, and food and water deprivation) on bone oxidative stress, structure, and metabolism in vivo. Methods: Adult rats were exposed to different stress conditions, while control animals were maintained under standard laboratory conditions. Bone morphological and histological parameters, oxidative stress biomarkers, antioxidant defense system, and mineral concentrations were assessed. Results: Stress exposure resulted in significant reductions in body weight, femur weight, and femur length compared to controls. A marked increase in oxidative stress biomarkers was observed in bone tissue, including lipid peroxidation, reactive oxygen species, hydroperoxides, hydrogen peroxide, protein carbonyls, and advanced oxidation protein products. In contrast, antioxidant defenses, including enzymatic activities and levels of glutathione, non-protein thiols, and vitamin C, was significantly decreased. Bone calcium and phosphorus levels were reduced, whereas their plasma concentrations were increased following stress exposure. Histological analysis confirmed the biochemical alterations, suggesting that chronic stress can disrupt bone integrity via oxidative mechanisms. Conclusions: These findings highlight the need for strategies to control and reduce stress-related disorders to maintain skeletal health under various chronic stress conditions.

Work-related neck pain (WRNP) is a common condition among office workers, especially workers who use computers on a daily basis, and it can affect workers and company’s productivity. One of potential intervention to prevent the pain is using notebook riser and external keyboard. This study aimed to assess the preventive effect of using notebook risers and external keyboards on neck pain among office workers. This was a superiority, non-randomized control study assigning two groups: workers with and without notebook risers. Both groups received education session on ergonomic position. We assessed if they had neck pain complaints every day from Day-0 to Day-10, using Nordic Body Map. We also assessed their ergonomic risk at Day-0 and asked them information on demographics, job characteristics, and personal habits. After adjustment to age, gender, occupational characteristics, and personal habits, risk of neck pain was statistically significantly lower among workers using notebook risers than those without notebook riser (aRR=0.19; 95%CI=0.04-0.89; p=0.030) and those with lower ergonomic risk (aRR=0.157, 95% CI 0.03-0.83, p=0.03). Using notebook riser as a workplace-based intervention can improve workers’ ergonomic and prevent neck pain.

Introduction: As the largest workforce in the healthcare industry, nurses are essential to maintaining patient safety. Personal and environmental factors, including high demands, irregular work hours, and large workloads, make nurses vulnerable to fatigue.Methods: The study involved 60 participants using several tools for data collection, including the NASA Task Load Index (NASA-TLX) to assess workload, the Swedish Occupational Fatigue Inventory (SOFI) to measured fatigue, heart rate variability (HRV) measurements to evaluated autonomic nervous system activity, electroencephalogram (EEG) analyzed for cognitive functions, and the Psychomotor Vigilance Test (PVT) to assessed cognitive performance.Results: The findings revealed that the nurses experienced high subjective workloads, particularly related to mental, physical, and temporal demands. Fatigue, especially in terms of energy depletion and sleepiness, was significantly reported. HRV data indicated a shift toward parasympathetic dominance after each shift, while EEG results showed decreased theta and alpha wave activity, suggesting increased fatigue. The PVT results showed slower reaction times and more lapses in performance, especially after night shifts, indicating cognitive impairment due to fatigue.Conclusions: These results highlight the considerable impact of high workloads, shift work, and fatigue on the health and performance of nurses. The study suggests that healthcare institutions should implement strategies to reduce workload, manage fatigue, and improve recovery to maintain optimal cognitive performance and overall well-being of nursing staff. These findings can inform policies aimed at improving working conditions and ensuring better care delivery in hospital settings.

Fatigue among hospital nurses, resulting from demanding workloads and irregular shift schedules, presents significant risks to both healthcare workers and patient safety. This study developed a fatigue detection model using heart-rate variability (HRV) and investigated its relationship with the Swedish Occupational Fatigue Inventory (SOFI) among nurses. Sixty nurses from a hospital in Depok, Indonesia, participated with HRV data collected via Polar H10 monitors before and after shifts alongside SOFI questionnaires. A mixed ANOVA revealed no significant between-subjects differences in HRV across morning, afternoon, and night shifts. However, within-subjects analyses showed pronounced parasympathetic rebound (elevated Mean RR) and sympathetic withdrawal (reduced Mean HR) post-shift, particularly after afternoon and night shifts, contrasting with stable profiles in morning shifts. Correlation analysis showed significant associations between SOFI dimensions, specifically lack of motivation and sleepiness, with HRV measures, indicating autonomic dysfunction and elevated stress levels. Several machine-learning classifiers were used to develop a fatigue detection model and compare their accuracy. The Fine Gaussian Support Vector Machine (SVM) model achieved the highest performance with 81.48% accuracy and an 81% F1 score, outperforming other models. These findings suggest that HRV-based fatigue detection integrated with machine learning provides a promising approach for continuous nurse fatigue monitoring.

Introduction: During the COVID-19 pandemic, the oil and gas industry had to adopt coping strategies. These changes might contribute to early increased mental health issues among workers. This study aimed to assess the prevalence and associated factors to early post-traumatic stress disorder (PTSD) symptoms among healthy Indonesian oil and gas field workers during the COVID-19 pandemic. Method: A cross-sectional study was conducted from November 2020 to January 2021. We investigated healthy field employees working during the pandemic. Data on the subjects’ PTSD symptoms were collected using the PTSD Checklist–Civilian (PCL-C) Version. Results: A total of 1542 completed forms were analyzed. The prevalence of PTSD symptoms was 44.8%, with 9.1% of very severe forms. Independent factors associated with PTSD symptoms were female gender ( p = .013, OR 1.72 [95% CI 1.12–2.63]), change in work system ( p = .006, OR 1.37 [95% CI 1.09–1.71]), increased workload ( p < .001, OR 2.10 [95% CI 1.63–2.71]), and decreased income ( p = .041, OR 1.44 [95% CI 1.02–2.05]). Conclusion: The COVID-19 crisis and its impact on working conditions were significant stressors that contributed to a high prevalence of PTSD symptoms among oil and gas company workers. Therefore, implementing well-being programs is essential during acute challenges that lead to changes in work systems.

Introduction: Intuitive eating involves consuming food based on internal hunger and satiety cues. This study aims to establish a validated and reliable questionnaire. Methods: The questionnaire items’ difficulty, uncertainty, and inappropriateness were conducted. The validity is analysed using the Content Validity Index and Lawshe’s Content Validity Ratio, estimated by inter-item reliability (Cronbach’s Alpha) and test-retest reliability (Intraclass Correlation Coefficient). Results: The CVIs correlation coefficient is 0.89 – 0.99. The Cronbach’s Alpha coefficient value is 0.66 – 0.68. Conclusion: This study showed that the questionnaire has good validity and reliability towards obesity from an intuitive eating behaviour perspective.

BACKGROUND The COVID-19 pandemic brought unusual stress exposure that may have contributed to mental health disorders. The oil and gas industry, as one of essential industry, had to adopt coping strategies to reduce the risk of COVID-19 transmission, which caused longer work rotation cycles and increased workload due to the limited number of field workers. Combined with fear of COVID-19 infection, those changes may participate to an increase in mental health issues among them. OBJECTIVE The aim of this study was to determine the prevalence and associated factors to post-traumatic stress disorder (PTSD) symptoms among Indonesian oil and gas field workers during the COVID-19 pandemic. METHODS A cross-sectional study was conducted during early phase of COVID-19, from November 2020 to January 2021. The subjects were field workers still working during the pandemic, with a minimum working period of 1 year, and who were not treated for mental illness during the research. Data on the subjects’ symptoms were collected using the PTSD Check List–Civilian Version. RESULTS A total of 1,542 completed forms were analyzed. The prevalence of PTSD symptoms was 44.8% with 9.1% of very severe forms. Independent factors associated with PTSD symptoms were female gender (p=0.013, OR 1.72 [95%IC 1.12– 2.63]), change in work system (p=0.006, OR 1.37 [95%IC 1.09 – 1.71]), increased workload (p<0.001, OR 2.10 [95%IC 1.63– 2.71]), and decreased income (p=0.041, OR 1.44 [95%IC 1.02– 2.05]). CONCLUSIONS The COVID-19 crisis was a stressor causing a high prevalence of PTSD symptoms among oil and gas companies’ workers. Implementing mental health programs is required to prevent and manage work-related stress and severe disruptions due to pandemic-related work system changes.

BACKGROUND During the COVID-19 pandemic, there has been an increase in workload, as well as greater vigilance and compliance at work. Healthcare workers must perform their duties while facing the fear of COVID-19, which can trigger and/or aggravate stress. This study aimed to obtain the determinant factors of stress among healthcare workers during the pandemic by emphasizing the change in the psychosocial situation at the hospital. METHODS This cross-sectional study was conducted from January to March 2021 using an online questionnaire consisting of personal and occupational questionnaires, as well as the validated stressor and stress questionnaires using validity and reliability tests (Cronbach’s alpha 0.8 and 0.9). For the multivariate analysis, multiple logistic regression was used to identify the determinant factors (p<0.05). Data were analyzed using SPSS software version 20 (IBM Corp., USA). RESULTS Determinant factors of the occurrence of moderate–severe stress were the alteration of stressors including age (aOR = 1.9), working hours (aOR = 1.9), work zone (aOR = 2.7), limited facilities and resources (aOR = 6.2), risk of disease transmission (aOR = 0.3), and personal work demands (aOR = 2.1). CONCLUSIONS In addition to the younger age, the determinant factors of the incidence of moderate–severe stress in healthcare workers during the COVID-19 pandemic at the hospitals were work-related conditions. However, they remained controllable to prevent stress among healthcare workers in the peak load work situations such as a pandemic.