Elderly population is increasing, while the world has been facing the novel coronavirus (COVID-19), which causes a greater adverse impact among older population in various aspects of their lives, such as depression, daily routine disruption, illness, and social and emotional issues. The purpose of this study was to assess the elderly’s depression during the COVID-19 pandemic, and the risk factors including socio-demographic, physical and psychosocial conditions, as well as family support. The method used was cross-sectional design, with a total sampling of 457 participants. The measuring instruments used were ADL (Activities of Daily Living Scale) and IADL (Lowton and Brody Instrumental Activities of Daily Living Scale) for physical activities assessment, APGAR (Adaptability, Participation, Growth, Affection, Resolution) for family support function assessment, and Geriatric Depression Scale (GDS) for depression level measurement, with additional questions for psychosocial assessment. 212 elderlies (46.4%) were found with no depression tendency, 183 elderlies (40%) had a tendency of depression, and 62 elderlies (13.6%) had depression. These depression issues were significantly linked to retirement and income among elderly, dependency, fitness and health status, family and social support, and sources of funds. In the presence of depression, control measures for social, health, and psychosocial support must be implemented in order to minimize its impact among the elderly.

For decades, occupational exposure to flour dust has been linked to a range of respiratory diseases, including occupational asthma, thought to result from exposure to fungi present in the flour. Antifungal resistance is of increasing prevalence in clinical settings, and the role of occupational and environmental exposures, particularly for specific fungal species, is of concern. Occupational exposure to flour dust can occur in a range of occupational settings, however, few studies have focused on restaurant workers. The objective of this study was to measure occupational exposure to flour and microbial contamination, including azole resistance screening, in two small commercial bakeries and in a pizzeria. Personal full shift inhalable dust measurements were collected from workers, and were analyzed for inhalable dust and fungi, bacteria, azole resistance, and mycotoxins. Samples of settled dust were collected, and electrostatic dust cloths (EDC) were deployed and analyzed for microbial contamination, including azole resistance screening, and mycotoxins. Geometric mean exposures of 6.5 mg m⁻³ were calculated for inhalable dust, however, exposures of up to 18.30 mg m⁻³ were measured—70% of personal exposure measurements exceeded the occupational exposure limit for flour dust of 1.0 mg m⁻³. The air and EDC fungal counts were similar to those reported in previous studies for similar occupational environments. The fungi were dominated by Penicillium genera, however Aspergillus genera, including Fumigati and Flavi sections, were observed using culture-based methods, and the Fumigati section was also observed by molecular tools. Both Aspergillus sections were identified on the azole resistance screening. Mycotoxins were also detected in the settled dust samples, dominated by deoxynivalenol (DON). The role of environmental exposure in both the development of antimicrobial resistance and the total mycotoxin body burden is a growing concern; therefore, the presence of azole-resistant fungi and mycotoxin contamination, although low in magnitude, is of concern and warrants further investigation.

Indonesia is country with abundant high-risk areas for various disasters that can affect both the structural and non-structural safety of various vital establishments, particularly hospitals. This present study aims to examine the level of the hospital safety index in nine hospitals in four provinces based on the guidelines from the WHO/PAHO (World Health Organization/Pan American Health Organization). The Hospital Safety Index (HSI) guidelines consist of four parameters that include the types of hazards, structural safety, non-structural safety, disasters and emergency managements. This study was a cross-sectional study on data obtained through interviews, focus group discussions (FGDs), observations, and document reviews to assess the parameters of the HSI. Data were calculated for the HSI score, and descriptive statistics and multiple correspondence analysis (MCA) were carried out. The SPSS software version 25.0 was used for the statistical analysis. Results show that the overall safety index was 0.673 (Level A), meaning that it is likely the hospital will maintain functionality in emergencies and disasters. By province, the level A index was identified in DKI Jakarta (0.76), Yogyakarta (0.709), and West Java (0.673), showing that hospitals in these provinces will maintain functionality in emergency and disaster situations; however, in North Sumatera, the index was categorized in B category (0.507), demonstrating that the hospital’s ability to function during and after emergencies and disasters is potentially at risk. The multiple correspondence analysis shows that the hospitals in the provinces of Yogyakarta and West Java tend to achieve similar categories in almost all assessment modules; therefore, control measures of preparedness should be considered, such as improvements in equipment and facilities; hospital emergency and disaster response and recovery planning; communication and information management; training; and relevant stakeholders awareness.

The World Health Organization (WHO) defines the primary healthcare center (PHC) as a whole-of-society approach to health that aims at ensuring the highest possible level of health and well-being and their equitable distribution by focusing on people’s needs as early as possible along the continuum from health promotion and disease prevention to treatment, rehabilitation, and palliative care, and as close as feasibly possible to people’s everyday environment. PHCs are expected to remain operational when disasters occur. This study aimed to assess the PHC disaster preparedness level in Indonesia using The Hospital Safety Index (HSI) from WHO/PAHO. Eleven PHCs located in four provinces in Indonesia, i.e., Jakarta, Yogyakarta, North Sumatera, and West Java, were selected. Data were collected through interviews, focus-group discussions (FGDs), observations, and document reviews. The parameters assessed were all types of hazards, structural or construction safety, nonstructural safety, and functional attributes. The results show that the overall score of HSI for PHCs in Jakarta (0.674) and North Sumatera (0.752) fell into the “A” category, meaning that these PHCs would likely remain operational in the case of disasters. Meanwhile, the overall HSI scores for PHCs in West Java (0.601) and Yogyakarta (0.602) were between 0.36 and 0.65, or in “B” category, meaning that these PHCs would be able to recover during disasters but several services would be exposed to danger. The results suggested that there are several gaps that need urgent interventions to be applied for the structural safety of buildings, water supply systems, fuel storage, disaster committee organization, furniture and fittings, offices and storage equipment, as well as increasing the capacity of workers through a structured and systematic training framework for disaster readiness. The results from this study can be used for prioritizing budgets and resource allocation, cost planning, providing specific solutions for local and national government, and efforts to achieve disaster risk reduction.

Bullying can pose a risk to health and safety, including the risk for damage to the emotional, psychosocial, mental, or physical health of employees in the workplace. Since bullying has a detrimental impact on victims and organizations, several studies on this issue had been conducted using the Negative Acts Questionnaire-Revised (NAQ-R), which is one of the most widely used tools to assess and minimize the occurrence of workplace bullying. However, this tool has not been validated for the Indonesian contexts. In this study, the author tested the reliability and constructed validity of the Indonesian version of NAQ-R. A total of 3140 participants were recruited in this study from various companies from different industries. NAQ-R, Psychosocial Distress (K10), and Satisfaction with Life Scale (SWLS) were administrated through an online survey. The results showed that 22 items yielded three model factors, i.e., person-related bullying, work-related bullying, and intimidation towards a person. Cronbach’s alpha coefficients for the total and sub-scales of the Indonesian NAQ-R was acceptable, ranging from 0.721 to 0.897. This study confirmed that the Indonesian version of NAQ-R has an internal consistency reliability, and the concurrent and construct validity are at acceptable levels. Thus, this tool can be used as the screening instrument in assessing workplace bullying.

The Indonesian construction industry is a significant contributor to economic growth in Indonesia. However, poor safety performance limits its contributions due to the negative impacts of poor safety on project performance. This research aims to assess the level of the safety climate in the Indonesian construction industry, identify its strengths and weaknesses, and understand the influence of individual demographic characteristics on the safety climate. Data were collected using a questionnaire survey from 1757 respondents working in six large state-owned construction companies in Indonesia. Results indicate that the overall safety climate level is fairly good. However, the safety climate scores of individual safety climate items are observed to vary widely. The scores reveal that construction employees understand the importance of safety and management demonstrates a degree of safety commitment, particularly by having regular safety communications. In contrast, the implementation of safety is limited in reality because safety is not considered a priority at work. Lack of safety resources and limited enforcement of safety rules further hinder the implementation of safety at the project level. Large state-owned construction companies such as those where data were collected should take the lead in changing the work practices in the Indonesian construction industry to improve safety performance. Level of education, length of work experience, position, permanency of job status, work location (project or office-based), and type of project are individual demographic characteristics that influence the level of the safety climate. Understanding the influence of these characteristics on the safety climate allows specific intervention strategies to be used to improve safety.