Working Conditions Research Articles

VACINAÇÃO DE PRÉ-EXPOSIÇÃO CONTRA A RAIVA HUMANA EM PROFISSIONAIS DO HOSPITAL UNIVERSITÁRIO VETERINÁRIO DO TRIANGULO MINEIRO: TITULAÇÃO SOROLÓGICA PÓS-VACINAÇÃO

The objective of the study was to evaluate the serological risk of pre-exposure vaccination against rabies in professionals at the UFU Veterinary Hospital. With a quantitative approach, it analyzed 30 participants, 21 females and 9 males vaccinated with three intradermal doses. The results indicated a drop in antibody levels between 2016 and 2018, with the average number of antibodies intramuscularly being 2.15 IU/ml, with values ​​varying between 0.18 IU/ml and >5.34 IU/ml; and intradermally there are changes in titer rates, in 2016, the average was 4.18 IU/ml, with 76.9% for females and 100% for males presenting titers above 5.34 IU/ml and in 2018, this average was reduced to 1.87 IU/ml, and there was no proportion of titers above 5.34 IU/ml. It is concluded that the data analyzed expresses a worrying reduction in antibody levels over time in the study population. I emphasize that carrying out post-vaccination serological assessments and the application of regular boosters are essential strategies to guarantee adequate levels of occupational protection and safety.

Application of Sensitivity & Principal Component Analyses for Modelling of Safety Parameters for Oil & Gas Companies in Niger Delta

This study assesses the sensitivity analysis in classical multiple regression models as well as those of the principal component regression, PCR models. The study is a cross-sectional research design and data collection was through questionnaire distribution to employees of Oil & Gas indigenous (OGI) and multinational (OGM) companies in Niger Delta. The questionnaire was designed to obtain information from respondents on 7 safety constructs as independent variables against employee productivity as dependent variable. The questionnaire was designed using 5-point Likert scale, strongly agree, agree, disagree, strongly disagree and undecided with corresponding weighting of 5 – 1. The descriptive statistics featured the calculation of weighted arithmetic mean which served as input data for the calibration of both simple linear regression models, multiple principal component regression models and classical multiple regression models, respectively. SPSS was employed to calculate Cronbach's alpha coefficients, assessing the internal consistency of the research constructs; while XLSTAT, was used for principal component analysis, PCA & principal component regression, PCR. The relationship between the slope of simple linear regression equation for 7 independent variables/constructs were examined with respect to the corresponding goodness of fit. The result showed that the simple linear regression models of the Employee Productivity as dependent variable against each of the 7 independent variables (Employee Involvement, Management Commitment, Safety Compliance, Safety Knowledge, Safety Participation, Safety Promotional Policies & Safety Training) yielded positive slope values for both OGI & OGM. In contrast to the classical multiple regression model, for which the total goodness of fit value for the 7 constructs for OGI = 44.9 & 48.4% for OGM; the simple linear models for the same 7 construct yielded total goodness of fit of 81.2 & 171.1% for OGI & OGM, respectively. The total goodness of fit values for the simple linear regression were not only greater than those of classical multiple regression models, but exceeded 100% limit in classical multiple regression models. The principal component regression models established in this study is a variable reduction technique. Given that all the R2 values of PCR models (i.e. 3 & 4 constructs) are superior to the equivalent R2 values extracted from sensitivity values of classical multiple regression models; the reason is on the manner of solving the resulting simultaneous equations arising from those of PCR and classical multiple regression. The PCR modelling adopts the optimization technique, using XLSTAT version 16 in this study; while the classical multiple regression modelling utilizes the Gaussian method of solving the simultaneous linear equations. Therefore, the optimization method of solution of simultaneous equations using XLSTAT software is recommended.

Mesothelioma risks and cumulative exposure to elongate mineral particles of various sizes in Minnesota taconite mining industry

ObjectivesAn excess of mesothelioma has been previously observed in iron ore miners in Northeastern Minnesota. This study explored the potential association between mesothelioma and elongate mineral particle (EMP) exposures in...

A Systematic Review and Evaluation of the Tools Measuring Work-Related Psychosocial Factors in Prospective Research on Sickness Absence of Health Care Workers.

This systematic literature review aims to list the validated tools measuring work-related psychosocial factors (WRPFs) influence health care workers' (HCWs) sickness absence (SA), and to evaluate their psychometric and practical properties. Using the PsycINFO, Medline, and Web of Science databases, the search targeted prospective studies on WRPFs and SA in HCWs published between 2012 and 2023. The validated, self-report tools that measured WRPFs and that yielded at least one significant predictor of SA in HCWs were identified. An evaluation of the psychometric and practical properties was performed. Based on inclusion criteria, three prospective studies on HCWs were included, and twelve tools were listed. Psychometric and practical properties were "excellent" for six tools, "good" for four, and "questionable" for two. Researchers and occupational health practitioners can use tools with "good" to "excellent" overall quality to measure traditional WRPFs that predict SA in HCWs. There is a need to develop and validate tools that measure WRPFs representing the specific characteristics of the health care working environment. Other WRPFs relevant to the work context of HCWs can be measured by extant tools that could be used in research and program development and evaluation.

THE IMPACT OF WORK MOTIVATION AND WORK ENVIRONMENT ON EMPLOYEE PERFORMANCE AT PT SINAR USAHA CEMERLANG, JAKARTA PUSAT

This study examines the influence of work motivation and work environment on employee performance at PT Sinar Usaha Cemerlang. Using a quantitative approach, the research analyzes data from a population of 65 employees, all of whom were included as the research sample through a saturated sampling technique. The study aims to determine how these two factors contribute to employee productivity, efficiency, and job satisfaction. The findings indicate that both work motivation and work environment have a significant positive impact on employee performance. Employees who feel valued, motivated, and work in a supportive environment tend to perform better, whereas those who experience a lack of recognition, poor work conditions, and ineffective communication demonstrate lower productivity. The study also reveals that the company needs to improve its reward system, career development programs, and workplace facilities to enhance employee engagement. Strengthening leadership support and internal communication is also crucial. Overall, the results suggest that PT Sinar Usaha Cemerlang should implement strategies that focus on workplace improvement and employee motivation to ensure sustained growth and organizational success.

Data-Sharing Statements Requested from Clinical Trials by Public, Environmental, and Occupational Health Journals: Cross-Sectional Study.

Data sharing plays a crucial role in health informatics, contributing to improving health information systems, enhancing operational efficiency, informing policy and decision-making, and advancing public health surveillance including disease tracking. Sharing individual participant data in public, environmental, and occupational health trials can help improve public trust and support by enhancing transparent reporting and reproducibility of research findings. The International Committee of Medical Journal Editors (ICMJE) requires all papers to include a data-sharing statement. However, it is unclear whether journals in the field of public, environmental, and occupational health adhere to this requirement. This study aims to investigate whether public, environmental, and occupational health journals requested data-sharing statements from clinical trials submitted for publication. In this bibliometric survey of "Public, Environmental, and Occupational Health" journals, defined by the Journal Citation Reports (as of June 2023), we included 202 journals with clinical trial reports published between 2019 and 2022. The primary outcome was a journal request for a data-sharing statement, as identified in the paper submission instructions. Multivariable logistic regression analysis was conducted to evaluate the relationship between journal characteristics and journal requests for data-sharing statements, with results presented as odds ratios (ORs) and corresponding 95% CIs. We also investigated whether the journals included a data-sharing statement in their published trial reports. Among the 202 public, environmental, and occupational health journals included, there were 68 (33.7%) journals that did not request data-sharing statements. Factors significantly associated with journal requests for data-sharing statements included open access status (OR 0.43, 95% CI 0.19-0.97), high journal impact factor (OR 2.31, 95% CI 1.15-4.78), endorsement of Consolidated Standards of Reporting Trials (OR 2.43, 95% CI 1.25-4.79), and publication in the United Kingdom (OR 7.18, 95% CI 2.61-23.4). Among the 134 journals requesting data-sharing statements, 26.9% (36/134) did not have statements in their published trial reports. Over one-third of the public, environmental, and occupational health journals did not request data-sharing statements in clinical trial reports. Among those journals that requested data-sharing statements in their submission guidance pages, more than one quarter published trial reports with no data-sharing statements. These results revealed an inadequate practice of requesting data-sharing statements by public, environmental, and occupational health journals, requiring more effort at the journal level to implement ICJME recommendations on data-sharing statements.

Mental health in public safety personnel with workplace injuries requiring surgery: a longitudinal population-wide administrative data study in Manitoba, Canada

ObjectivesPublic safety personnel (PSP) are responsible for ensuring the safety and security of communities, often putting their own lives and well-being at risk by performing dangerous and demanding work. As...

Safety of health workers during the COVID-19 pandemic and beyond: piloting WHO framework in Iran

BackgroundHealth Workers Safety (HWS) is a global health priority and essential at all times, in stable situations, in emergencies, in disease epidemics or pandemics. This study aimed to assess HWS during the COVID-19 Pandemic.MethodsThis cross-sectional study was conducted in 2022 in east Azerbaijan province, Iran. HWS was assessed based on 22 indicators suggested by WHO EMRO. We selected 15 PHC facilities and six wards from two hospitals randomly. Data collected (qualitative and quantitative) using national digital health records, staff records, and indicator-specific tools. In addition to measuring the indicator’s value, the indicators’ feasibility was also assessed. Descriptive and inferential statistics with SPSS-16 were used for data analysis.ResultsTotally, 325 Health Workers (HWs) (218 from PHC facilities and 107 from hospitals) participated in the study. Most of the participants in PHC facilities and hospitals were Community Health Workers (CHWs) (Moragheb Salamat) (45.4%) and nurses (37.38%), respectively. Most of HWs had completed the full vaccination schedule for Hepatitis B and COVID-19. Personal Protective Equipment (PPE) safety protocols were adhered by most of HWs within a healthcare facility. None of managers had attended nationally certified training for mental health support for health and care workers. Less than 20% of HWs participated in the work burnout prevention courses and most of HWs complained about work overload, or burnout. The job satisfaction level of hospital HWs (60.20%) was significantly higher than that of HWs from PHC facilities (57.18%) (P < 0.001).ConclusionEven though the mental health of HWs was not as expected, the indicators related to physical health and occupational health were at a suitable level. Also, there is not a system in PHC to audit the application of safety measures to mitigate the risk of contracting COVID-19. We recommend creating a specific system (precise and detailed) for HWs’ safety and applying safety measures in the PHC routine programs.

Voluntary choice or helpless move: overwork and social workers’ turnover intention

ABSTRACT Despite rapid professionalisation, Chinese social workers exhibit high turnover rates. We explored how social workers’ experiences of overwork relate to their intentions with regard to changing jobs. It found that overwork increased social workers’ turnover intention. Mental health and occupational identity mediated this correlation, and work support moderated the correlation and reduced social workers’ turnover intention. Therefore, this study believes that reasonable working hours and work support can improve social workers’ occupational identity and mental health and reduce their turnover intention, thereby developing the social work industry.

Smartphones as a platform for molecular analysis: concepts, methods, devices and future potential.

Over the past 15 years, smartphones have had a transformative effect on everyday life. These devices also have the potential to transform molecular analysis over the next 15 years. The cameras of a smartphone, and its many additional onboard features, support optical detection and other aspects of engineering an analytical device. This article reviews the development of smartphones as platforms for portable chemical and biological analysis. It is equal parts conceptual overview, technical tutorial, critical summary of the state of the art, and outlook on how to advance smartphones as a tool for analysis. It further discusses the motivations for adopting smartphones as a portable platform, summarizes their enabling features and relevant optical detection methods, then highlights complementary technologies and materials such as 3D printing, microfluidics, optoelectronics, microelectronics, and nanoparticles. The broad scope of research and key advances from the past 7 years are reviewed as a prelude to a perspective on the challenges and opportunities for translating smartphone-based lab-on-a-chip devices from prototypes to authentic applications in health, food and water safety, environmental monitoring, and beyond. The convergence of smartphones with smart assays and smart apps powered by machine learning and artificial intelligence holds immense promise for realizing a future for molecular analysis that is powerful, versatile, democratized, and no longer just the stuff of science fiction.

Comparative performance of tuberculin and defined-antigen cocktails for detecting bovine tuberculosis in BCG-vaccinated cattle in natural settings

Bovine tuberculosis (bTB) is a threat to cattle health and public safety. The current control programs are hampered by wildlife reservoirs and socioeconomic barriers. Vaccinating cattle with Bacillus Calmette-Guérin (BCG) effectively reduces transmission, offering a potential solution for controlling bTB. A key requirement for vaccination strategies using BCG is the validation of defined antigens to differentiate infections among vaccinated animals (DIVA). We compared tuberculin with DIVA peptide cocktails (ESAT-6, CFP-10, and Rv3615c) in 67 unvaccinated and 67 BCG-vaccinated cattle exposed to M. bovis in a natural setting. The cattle were tested every 4 months with a skin test and every 2 months with interferon-gamma (IFN-γ) release assays (IGRA) over a year of exposure. Before exposure, the DIVA skin, DIVA IGRA, and tuberculin tests showed 100% specificity in unvaccinated control calves. After exposure, the DIVA skin, DIVA IGRA, and comparative cervical tuberculin (CCT) tests had comparable sensitivities of 46% (95% CI 36, 56), 45% (95% CI 35, 55), and 47 (95% CI 37, 57), respectively, when assessed against animals positive by M. bovis culture PCR. The results suggest that test-and-slaughter control strategies using tests with low sensitivity are not expected to be effective in controlling bTB in high-prevalence herds, and highlight an urgent need to improve the sensitivity of diagnostic tests for bTB in these settings.

Bearing fault diagnosis of variable working conditions based on conditional domain adversarial-joint maximum mean discrepancy

Bearing fault diagnosis of variable working conditions based on conditional domain adversarial-joint maximum mean discrepancy

Hydrochemical assessment of borehole water in Effurun, Delta state Niger Delta, Nigeria: implications for public health and safety

Borehole water plays a critical role in providing drinking water in Effurun, Delta State, Nigeria. However, concerns about potential contamination from both natural and anthropogenic sources necessitate regular groundwater quality assessments. This study evaluates the hydrochemical properties of borehole water to ensure public health safety and to understand the groundwater's suitability for consumption. The aim of this study is to assess the quality of borehole water in Effurun by analyzing major ions, trace metals, and other hydrochemical parameters, and to compare the findings with WHO and NSDWQ drinking water standards. Ten borehole water samples were collected from various locations across Effurun. Hydrochemical analyses were conducted to measure cations (calcium, magnesium, sodium, potassium), anions (chloride, bicarbonate, sulfate, nitrate), and trace metals (lead, copper, zinc, manganese). Statistical analysis and spatial mapping were employed to evaluate the distribution of ion concentrations and identify areas of concern. Calcium levels in the boreholes ranged from 29.95 mg/L to 64.50 mg/L, while magnesium levels were more consistent, ranging between 9.50 mg/L and 14.20 mg/L. Sodium and potassium showed moderate correlations with calcium. Chloride levels varied widely, indicating potential contamination from seawater intrusion or industrial discharge. Elevated sulfate and nitrate concentrations pointed to agricultural runoff. Trace metals, particularly lead, exceeded safety limits, with lead concentrations ranging from 0.092 mg/L to 0.127 mg/L, posing significant health risks. Spatial analysis revealed varying ion concentrations across Effurun, with higher calcium and magnesium levels near water bodies, suggesting local geology's influence. The central area exhibited moderate ion concentrations, while the southeastern region had the highest calcium levels, possibly due to geological formations rich in calcium or human activities. The study highlights diverse hydrochemical characteristics of Effurun's borehole water, with some areas showing contamination beyond acceptable limits. Regular monitoring is essential to ensure safe drinking water and address potential health risks. The findings stress the need for improved water resource management and contamination control. This study provides a comprehensive spatial analysis of groundwater quality in Effurun, identifying specific areas at risk of contamination and offering data-driven recommendations for public health and sustainable water management.

Implementing standard practices in the safe handling of gene therapy and biohazardous drugs in a health-system setting.

In an effort to expedite the publication of articles, AJHP is posting manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time. This publication outlines development of the infrastructure and standard operating procedures (SOPs) for handling of gene therapy drugs within an integrated health-system setting. These guidelines aim to fill the gap in occupational safety standardization, as current materials focus on precautions in a research laboratory setting and do not fully take into account occupational hazards for pharmacists, technicians, and other medical staff. Pharmacists in a large integrated healthcare system recognized the gap in knowledge as well as lack of standard procedures in handling gene therapy drugs in the pharmacy setting and sought to establish updated best practices. The objectives were to implement the necessary infrastructure and SOPs for the handling, compounding, and cleanup of gene therapy drugs and to update existing resources such as spill kits to reflect the new SOPs. Critical milestones included establishing a new biohazardous drug risk classification and standardizing medication labeling. These steps were necessary to ensure consistent and safe handling across the enterprise. With the increasing prevalence of gene therapy drugs, it is of paramount importance to establish best practices to ensure occupational safety. While existing regulations and literature outline basic handling guidelines for laboratory use, there is a limited amount of information in relation to pharmacy departments within healthcare groups. In establishing robust SOPs surrounding the handling, compounding, and management of gene therapy drugs, pharmacy groups can better ensure both patient and staff safety.

Profiling the disciplinary foundation of telework research: A journal co-citation analysis

Objective. This study employed bibliometric analysis to identify the most relevant journals in telework research and utilized journal co-citation analysis to map the intellectual foundation of this field of study. Design/Methodology/Approach. To conduct this study, we used data from Scopus, employed the cluster modularity technique to identify journal communities, gathered centrality measures to pinpoint essential journals, and chose to rank the journals based on relevance. We combined two key measures to achieve this: the number of citations received and closeness centrality within the co-citation network. Results/Discussion. Seven communities of journals were identified, encompassing the following subject areas: organizational psychology and management, technology and information systems, occupational health and psychological well-being, sustainability and the environment, education and skills development, economics and public policy, and sociology and cultural studies. Some of the most relevant journals included the Journal of Applied Psychology; the International Journal of Environmental Research and Public Health; Sustainability, the Journal of Organizational Behavior; the Journal of Vocational Behavior; New Technology, Work and Employment; Frontiers in Psychology; Human Relations; the Academy of Management Journal; and the Academy of Management Review. Conclusions. The co-citation analysis revealed that the disciplinary structure of teleworking is underpinned by a network of influential journals covering different areas of knowledge. The most relevant publications form seven major thematic clusters, reflecting the multidisciplinary nature of teleworking research.

A GraphKAN-Based Intelligent Fault Diagnosis Method of Rolling Bearing Under Variable Working Conditions

Unsupervised domain adaptation (UDA) can effectively address the two main drawbacks of transfer learning: the requirement of a large number of samples collected from different working conditions, and the inherent defects of convolutional neural networks (CNNs). In the realm of UDA, it is essential to leverage three types of information: class labels, domain specifications, and data organization. These components play a vital role in linking the source domain with the target domain. A technique aimed at identifying issues in rolling bearings is presented, employing an integration of CNN-KAN and GraphKAN structures to support the UDA methodology. A cohesive deep learning architecture is employed to represent the three types of information involved in UDA. The initial two types of information are represented through the roles of classifier and domain discriminator. To begin with, an architecture leveraging CNN-KAN is employed to extract features from the incoming signals. Following this, the features obtained from the CNN-KAN architecture are input into a specially developed graph creation layer that constructs instance graphs by analyzing the relationships among the structural characteristics found within the samples. In the following step, an innovative GraphKAN model is applied to illustrate the instance graphs, concurrently employing CORrelation ALignment (CORAL) loss to assess the structural discrepancies among instance graphs from different domains. Results from experiments conducted on two separate datasets demonstrate that the proposed framework surpasses alternative approaches and successfully recognizes transferable characteristics that are advantageous for domain adaptation.

Advanced theoretical modeling methodologies for electrocatalyst design in sustainable energy conversion

Electrochemical reactions are pivotal for energy conversion and storage to achieve a carbon-neutral and sustainable society, and optimal electrocatalysts are essential for their industrial applications. Theoretical modeling methodologies, such as density functional theory (DFT) and molecular dynamics (MD), efficiently assess electrochemical reaction mechanisms and electrocatalyst performance at atomic and molecular levels. However, its intrinsic algorithm limitations and high computational costs for large-scale systems generate gaps between experimental observations and calculation simulation, restricting the accuracy and efficiency of electrocatalyst design. Combining machine learning (ML) is a promising strategy to accelerate the development of electrocatalysts. The ML-DFT frameworks establish accurate property–structure–performance relations to predict and verify novel electrocatalysts' properties and performance, providing a deep understanding of reaction mechanisms. The ML-based methods also accelerate the solution of MD and DFT. Moreover, integrating ML and experiment characterization techniques represents a cutting-edge approach to providing insights into the structural, electronic, and chemical changes under working conditions. This review will summarize the DFT development and the current ML application status for electrocatalyst design in various electrochemical energy conversions. The underlying physical fundaments, application advancements, and challenges will be summarized. Finally, future research directions and prospects will be proposed to guide novel electrocatalyst design for the sustainable energy revolution.

Method Implementation Testing Foundation Pile Using (PDA Test) in the Residential Block Development Project of Class IIa Corrective Institution, Binjai

Abstract: One of the most important things in a building construction is the foundation, to prove the strength of the pile foundation that has been worked on at the project site, then further testing will be carried out. In the Class IIa Binjai Penitentiary Residential Block Development Project, a Pile Driving Analyzer (PDA Test) test will be carried out. This test is a dynamic test used to see or measure how much the bearing capacity of the pile is, the ultimate axial pressure resistance of a pile and others. This study aims to compare and ensure whether the Pile Driving Analyzer (PDA Test) test implementation method carried out on the Class IIa Binjai Penitentiary Residential Block Development Project is in accordance with the regulations referring to SNI 8459: 2017 and the guideline that has been published by the Regulation concerning foundation testing on building structures in accordance with the Indonesian National Standard (SNI) 03-2847-2013. This study uses a qualitative method, data obtained from observations and interviews with the implementing team in the field and the data can be used as primary data and from the test data, various secondary data specifications. With these two regulations, it will be compared according to the conditions of field work according to the standards referring to the Foundation Test in building structures with the rules of the Indonesian National Standard (SNI) 03-2847-2013 and referring to the Indonesian National Standard (SNI) 8459: 2017 concerning the Foundation Test Method in High-Strain Dynamic Pile (HSDP) and PDA test testing including HSDP testing. This discussion will focus on testing the pile foundation after the foundation of the Class IIA Binjai Penitentiary Residential Block Construction is carried out in the field.

Assessment of Food Safety Practices, Associated Factors and Microbial Contamination of Fried Nile Perch in Mwanza City Markets: A Cross-Sectional Study

Unsatisfactory hygienic practices can lead to food-borne pathogen contamination in fish and fishery products, posing serious health concerns for consumers. This study assessed the food safety practices, their associated factors, and microbial contamination levels of fried Nile Perch in Mwanza City across three markets: Kirumba, Butimba, and Nyakato. A cross-sectional study using a structured questionnaire examined the food safety practices of traders and processors, and their associated factors, including experience, income, and training. Standard methods for microbial analysis were conducted to determine the levels of coliforms, Escherichia coli, and Staphylococcus aureus. SPSS version 27 was used to compute the frequency and percentages. The factors and behaviours of fried Nile perch processors and traders were assessed using a 95% chi-square test. R software was employed to perform the Aligned Rank Transformation on market microbiological mean contamination. Tukey's Honest Significant Difference was employed for post hoc group comparisons. The results show that the transportation of raw fish at ambient temperature conditions showed a significant association across markets (X²=6.153, p=0.046), risking high levels of microbial contamination. Furthermore, tap water served as the predominant water source in the Butimba (88.9%), Kirumba (90%), and Nyakato (100%) marketplaces, despite the insufficient hand-washing facilities in the markets. Low income significantly affected the clear separation between storage and processing areas (X²=16.201, p=0.013), while insufficient training was related to inadequate temperature control (X²=6.032,p=0.014). Fried fish from all markets exceeded the safe limits of assessed microorganisms, with Nyakato having the highest levels of total plate count (9.53 log CFU/g), coliforms (8.74 log CFU/g), and S. aureus (5.51 log CFU/g), posing significant risks of food-borne illnesses upon consumption. Contamination levels differed significantly between markets (p&lt;0.05), despite similar activities across locations. Consumers should reheat fried Nile perch before consumption to avoid foodborne illnesses, and the government should offer formal training in food safety and environmental cleanliness to food safety operators to facilitate compliance with safety regulations.

Relationships between mental health and styles of help-seeking among care workers in comparison with the general population

BackgroundCare workers in long-term nursing homes often experience burdens and a high rate of resignations. This study aimed to investigate the mental health of care workers and to examine the relationship between the tendency to seek help and their mental health, through a comparison with the general population to address this issue.MethodsOnline surveys were conducted separately with 273 care workers and 260 general public using a questionnaire platform. They were asked about their demographic variables, mental health [the Kessler Psychological Distress Scale (K6) and stressors], help-seeking styles (self-directed, excessive, and avoidant help-seeking), and usage on use of psychological support services. The analyses were performed except for missing responses.ResultsOverall, 132 (48.4%) care workers scored higher than the cutoff point on the K6. Regarding stressors identified by the care workers, most of the contents were related to work-related matters and workplace relationships, as demonstrated through qualitative analysis. Hierarchical multiple regression analysis showed that the interaction term between each help-seeking style and participant group was non-significant. Meanwhile, age (β = −0.116, p = 0.009), excessive help-seeking (β = 0.120, p = 0.014), and avoidant help-seeking (β = 0.331, p < 0.001) were associated with the K6.ConclusionThis study revealed the tendency of care workers’ help-seeking behavior and its relationship to mental health. Improving care workers’ help-seeking skills and adjusting their work environment are essential for maintaining and enhancing their mental health.