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Objective:  Spices, because of their bioactive content, can cause irritation and allergic symptoms in the respiratory system and skin. Spice shop workers are constantly exposed to spices and dried herbs as part of their jobs. This study aimed to investigate the work-related symptoms of spice shop workers. Another aim was to assess the risk status of having an atopic nature for work-related symptoms., Material and Methods:  This was a cross-sectional study. Our research team visited the spice shops and a questionnaire was administered to 112 workers to assess work-related symptoms. In order to determine atopy, 79 of them had skin prick tests with common aeroallergens., Results:  Workers had eye complaints (19.6%), runny noses (22.3%), skin symptoms (9.8%), shortness of breath (9.8%), and coughs (19.6%) at work. The prevalence of atopy was 18%. Atopy was associated with work-related eye complaints (odds ratio (OR): 4.12, 95% CI: 1.17-14.46), work-related runny nose, and work-related cough (OR: 4.85, 95% CI: 1.44-16.32, and OR: 4.41, 95% CI: 1.30-14.97)., Conclusions:  The workers in spice shops are adversely affected by spices and dried herbs in their working environment. Being sensitive to common aeroallergens poses a risk for occupational symptoms.

Purpose: The aim of the study was to adapt the Copenhagen Psychosocial Questionnaire Version-3 (COPSOQ-3) into the Turkish language. Methods : This is a methodologic study. The field study occurred in four workplaces (call center, hospital, plastic and metal industries). The Kaiser-Meyer-Olkin (KMO) Measure of Sampling Adequacy and Bartlett's Test of Sphericity were used to assess the suitability of the sample for factor analysis. The principal component analysis and varimax rotation methods were used to identify the factor structure.The internal consistency was assessed using the Cronbach's alpha coefficient. Results: In total, 1076 respondents' questionnaires were evaluated. Fifty-eight percent of the participants were men and the mean age was 31.1 ± 7.7. Sampling adequacy was considered adequate (KMO =0.929). The factor analysis of the Turkish COPSOQ (COPSOQ-TR) identified 19 factors with eigenvalues higher than one and explained 66.1% of the total variance. The Cronbach's alpha values of 23 dimensions were over 0.70. The Cronbach's alpha values of control over working time and predictability were 0.54 and 0.66, respectively. The model was an excellent fit (Chi-Square = 8514.5, x 2 /df = 2.48, RMSEA = 0.038, SRMR = 0.053, CFI = 0.98). Conclusions: Findings show that COPSOQ-TR is a reliable and valid instrument that can be a useful tool to measure psychosocial risks in the Turkish language.

Background: According to the Turkey Burden of Disease Study, 10% of the national burden of disease is attributed to cardiovascular diseases. Although the standardized coronary heart disease (CHD) rate is falling in general, CHD prevalence among young people is rising. On the other hand, as a result of increased life expectancy and higher retirement ages, the CHD rate among workers is also increasing. Therefore, work ability and return to work after diagnosis are important for population health and well-being. Socioeconomic factors and working conditions may play a key role as well as clinical conditions described in the literature that affect returning to work., Aims: The aims of this qualitative study are exploring the changes in employment and working conditions of the patients after acute myocardial infarction (AMI) and affecting factors such as socioeconomic, personal and environmental., Study Design: Qualitative research., Methods: The research population are fifty-three patients who are engaged in paid employment when the people have been diagnosed with myocardial infarction for the first time between 2011 and 2012 at a university hospital coronary care unit. We intended to reach the whole population. Twenty-seven patients were contacted whose phone numbers were accessible from the hospital records. Semi-structured in-depth interviews were conducted with twelve patients in a meeting room at the hospital. The interviews were tape-recorded accompanied by note-taking and the content analysis method were evaluated., Results: While many of the participants continued to work at the same job by working less, one third of them said that they were thinking about getting an easier job if they have the opportunity. On the other hand, in most cases, there were neither assessments about their work ability, nor changes to their working conditions after AMI. They had to cope with their conditions, such as economic or psychosocial, without any support., Conclusions: While the patients have to return to work for economic and social reasons, they expressed uncertainty about working after a diagnosis of AMI and could not reach professional support to assess their work abilities. Therefore, specific algorithms and assessment tools to manage the return to work of AMI patients would be useful.

Objective: This study aimed to determine the correlates of in-hospital costs for angina pectoris (AP), myocardial infarction (MI), and heart failure (HF) in a university hospital setting., Methods: This is a retrospective cost-of-illness study using data from the records of patients who were admitted with AP, MI, or HF to Dokuz Eylül University Hospital during 2008. Direct medical costs were calculated from the Social Security Institute perspective using a bottom-up approach. Socio-demographic and clinical information was abstracted from patient files. Costs were presented in Turkish lira (TL). A generalized linear model was used in the multivariate analysis., Results: We included 337 in-patients in total in the study. AP was present in 26.4% (n=89), MI was present in 55.8% (n=188), and HF was present in 17.8% (n=60) of patients. MI was the most costly disease (2760 TL), followed by HF (2350 TL) and AP (1881 TL). The largest proportion of the total cost was formed by medical interventions (27.5%), followed by surgery (22.2%). Presence of DM, smoking, diagnosis of MI, HF, need for intensive care, and resulting in death were strong predictors of treatment costs., Conclusion: Both preadmission characteristics of patients (diabetes mellitus, smoking, use of anti-aggregant before admission) and in-patient characteristics (diagnosis, coronary artery bypass grafting, intensive care need, death) predicted the hospital cost of cardiovascular diseases (CVDs) independently. Our results may be used as input for health-economic models and economic evaluations to support the decision-making of reimbursement and the cost-effectiveness of public health interventions in healthcare.