METHODS: In this paper, we highlight a review of the studies that have used biomarkers to understand the association between air particles exposure and the development of respiratory problems resulting from the damage in the respiratory system. Data from previous epidemiological studies relevant to the application of biomarkers in respiratory system damage reported from exposure to air particles are also summarized.
RESULTS: Based on these analyses, the findings agree with the hypothesis that biomarkers are relevant in linking harmful air particles concentrations to increased respiratory health effects. Biomarkers are used in epidemiological studies to provide an understanding of the mechanisms that follow airborne particles exposure in the airway. However, application of biomarkers in epidemiological studies of health effects caused by air particles in both environmental and occupational health is inchoate.
CONCLUSION: Biomarkers unravel the complexity of the connection between exposure to air particles and respiratory health.
OBJECTIVE: This scientometric investigation aims to examine collaborative research networks, dominant research themes and disciplines, and seminal research studies that have contributed most to the field of telemedicine. This information is vital for scientists, institutions, and policy stakeholders to evaluate research areas where more infrastructural or scholarly contributions are required.
METHODS: For analyses, we used CiteSpace (version 4.0 R5; Drexel University), which is a Java-based software that allows scientometric analysis, especially visualization of collaborative networks and research themes in a specific field.
RESULTS: We found that scholarly activity has experienced a significant increase in the last decade. Most important works were conducted by institutions located in high-income countries. A discipline-specific shift from radiology to telestroke, teledermatology, telepsychiatry, and primary care was observed. The most important innovations that yielded a collaborative influence were reported in the following medical disciplines, in descending order: public environmental and occupational health, psychiatry, pediatrics, health policy and services, nursing, rehabilitation, radiology, pharmacology, surgery, respiratory medicine, neurosciences, obstetrics, and geriatrics.
CONCLUSIONS: Despite a continuous rise in scholarly activity in telemedicine, we noticed several gaps in the literature. For instance, all the primary and secondary research central to telemedicine was conducted in the context of high-income countries, including the evidence synthesis approaches that pertained to implementation aspects of telemedicine. Furthermore, the research landscape and implementation of telemedicine infrastructure are expected to see exponential progress during and after the COVID-19 era.
METHODS: A self-administered questionnaire was developed based on a conceptual framework of mental health and well-being model. Two aspects were assessed, namely the physiological (two domains) and the psychological (six domains). Participants were asked to rate their experiences of the aforementioned aspects using a 5-point Likert scale ranging from all the time to never.
RESULTS: The response rate was 81%. Most of the dentists (61.7%) perceived having positive mental well-being. Under the physiological aspect, most respondents reported that they were 'generally happy' (93.3%), but about 30% stated they were 'stressed physically and emotionally'. Of the six domains under the psychological aspect, positive well-being was observed in the 'sense of coherence' and 'behavioural stress' domains. Participants who were above 40 years old, married and had children reported having a more positive mental well-being when compared with their counterparts.
CONCLUSION: Overall, most Malaysian dentists perceived having a positive mental well-being. It is crucial, however, to closely monitor and initiate early interventions for those with negative symptoms to ensure the safe practice of dentistry.
METHODS: A cross-sectional study (n = 230) was conducted using the Pressure Management Inventory on several female dominated health professions within a large public hospital. Analysis of variance was used to show relationship between sources and outcome of pressure. Linear regressions were used to predict which sources of pressure (IV) was linked to the outcomes of occupational pressure (DV).
RESULTS: The number one source of occupational pressure is relationships at work (i.e. with supervisors), and not workload. 'Relationship' is also the key predictor of several negative outcomes of pressure at work. Analysis of variance showed significant differences in two sources of pressures, i.e. Workload (P = 0.04) and Home-work balance (P = 0.03).
CONCLUSION: This paper provides insights into the occupational pressure of women health professionals by highlighting the organisational sources of pressure and the implications for preventing occupational dysfunction secondary to stress at work.
METHODS: The validated Malay version of the Job Content Questionnaire (JCQ), Depression Anxiety Stress Scales (DASS) and the World Health Organization Quality of Life-Brief (WHOQOL-BREF) were used. A structural equation modelling (SEM) analysis was applied to test the structural relationships of the model using AMOS version 6.0, with the maximum likelihood ratio as the method of estimation.
RESULTS: The results of the SEM supported the hypothesized structural model (chi2 = 22.801, df = 19, p = 0.246). The final model shows that social support (JCQ) was directly related to all 4 factors of the WHOQOL-BREF and inversely related to depression and stress (DASS). Job demand (JCQ) was directly related to stress (DASS) and inversely related to the environmental conditions (WHOQOL-BREF). Job control (JCQ) was directly related to social relationships (WHOQOL-BREF). Stress (DASS) was directly related to anxiety and depression (DASS) and inversely related to physical health, environment conditions and social relationships (WHOQOL-BREF). Anxiety (DASS) was directly related to depression (DASS) and inversely related to physical health (WHOQOL-BREF). Depression (DASS) was inversely related to the psychological wellbeing (WHOQOL-BREF). Finally, stress, anxiety and depression (DASS) mediate the relationships between job demand and social support (JCQ) to the 4 factors of WHOQOL-BREF.
CONCLUSION: These findings suggest that higher social support increases the self-reported quality of life of these workers. Higher job control increases the social relationships, whilst higher job demand increases the self-perceived stress and decreases the self-perceived quality of life related to environmental factors. The mediating role of depression, anxiety and stress on the relationship between working conditions and perceived quality of life in automotive workers should be taken into account in managing stress amongst these workers.