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1.
Occup Environ Med ; 63(2): 126-30, 2006 Feb.
Article in English | MEDLINE | ID: mdl-16421391

ABSTRACT

OBJECTIVE: This longitudinal study aimed to identify the predictors of leaving during the first year of employment from the cotton spinning mill environment in newly hired workers. METHODS: One hundred and ninety eight consecutively appointed new employees were investigated by questionnaire, lung function test, and skin test. They were examined before employment and at the end of the 1st week, and the 1st, 3rd, 6th, and 12th month after starting work and when possible before leaving their job. 572 personal dust sampling and 191 endotoxin measurements were performed to assess the environmental exposure. For the univariate analysis chi2, Student t tests, ANOVA, and Kruskall Wallis tests were used. Cox proportional hazards analysis was used to identify factors associated with leaving the job. RESULTS: Fifty three per cent of workers left the mill environment during their first working year. Work related lower respiratory tract symptoms reported at the third month were associated with an increase rate of leaving the industry compared to those remaining in the industry (25% v 4.8%; p<0.005). Having respiratory symptoms at the first month of work predicted those leaving the industry at some point in the next 11 months. According to the Cox model, increasing age and having work related lower respiratory tract symptoms were found to be predictors for leaving job at the first working year. Atopic status, dust and endotoxin levels, and lung function changes were not consistently predictive of workers who left the industry in the follow up period. CONCLUSION: This study demonstrated that work related respiratory symptoms can predict workers likely to leave the cotton mill environment during the first year of employment, but atopy or acute lung function changes do not.


Subject(s)
Occupational Diseases/etiology , Personnel Turnover/statistics & numerical data , Respiration Disorders/etiology , Textile Industry/statistics & numerical data , Adolescent , Adult , Cotton Fiber , Dust/analysis , Environmental Monitoring/methods , Epidemiologic Methods , Epidemiological Monitoring , Female , Healthy Worker Effect , Humans , Male , Occupational Exposure/analysis , Occupational Health , Respiratory Function Tests , Skin Tests , Turkey
2.
Public Health ; 117(1): 54-61, 2003 Jan.
Article in English | MEDLINE | ID: mdl-12802906

ABSTRACT

OBJECTIVE: The member states of the 41st World Health Assembly agreed to aim for the global eradication of polio by the year 2000. Turkey adopted this goal and made substantial progress. In this report, we present the results of a coverage and risk factor survey conducted to evaluate vaccine delivery during the 1999 national immunization days (NIDs) in a large district of Istanbul, Turkey. This study provides important information regarding risk factors and reasons for non-vaccination during the NIDs, defines rumours about the NIDs, and provides estimates of vaccination coverage. SETTING AND PARTICIPANTS: A survey was conducted 3-10 days after the second round of 1999 NIDs using the standard expanded programme on immunization cluster survey method, for each of 10 health centre areas in Umraniye. In total, 2102 children were included in the analysis. RESULTS: The vaccination coverage rate was 82.2%. Logistic regression analysis showed increased risk of non-vaccination in people who did not know the purpose of the NIDs, who had not had contact with a mobile vaccination team, who were unvaccinated in the first round of 1999 NIDs and who lived in the area of the Central Health Centre. Use of primary-level state healthcare facilities for routine childhood immunizations, and living in the area of the Adem Yavuz Health Centre had significant positive effects on vaccination. CONCLUSIONS: To achieve better results, better publicity of national campaigns using mass media, and improved use of mobile teams, are necessary.


Subject(s)
Immunization Programs , Patient Compliance , Poliomyelitis/prevention & control , Chi-Square Distribution , Child, Preschool , Cluster Analysis , Female , Humans , Infant , Infant, Newborn , Logistic Models , Male , National Health Programs , Poliomyelitis/epidemiology , Risk Factors , Turkey/epidemiology
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