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Occupational physical activity was based on reported main lifetime occupations, coded according to the Australian Standard Classification of Occupations [ 26] and independently assigned by two of the authors (PHL, AR) as follows: sedentary, standing or manual (including heavy manual work).
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We also included a measure of the respondent's lifetime occupation, defined as the occupational category describing the respondent's longest-held job.
First, our occupational assessment was limited to current occupation rather than lifetime occupation.
The aristocracy made the decoration of their Parisian homes a lifetime occupation.
All participants were interviewed for demographic information, including age, gender, educational attainment (highest grade completed), race (white or non-white) and lifetime occupation (predominantly manual or non-manual).
Also, in Mersin, the place of residence and occupation are relatively stable compared with areas where residents are more highly educated, mobile, and wealthier; therefore current occupation in the present study likely reflects lifetime occupation.
Measures of SES included years of schooling of the respondent Measures of SES included years of schooling of the respondent (0, 1 6, 7+), whether primary lifetime occupation was white collar (yes versus no), financial independence (yes versus no), and better perceived economic status of the family compared to most neighbors (yes versus no).
Measures of socioeconomic status included education (any formal education), primary lifetime occupation as a white collar worker, economic independence (primary financial source from own work or pension), family in good economic standing (self rated as rich compared with other families in the community), and being in receipt of adequate drugs for any illnesses.
Models estimating the contribution of the different occupational indices based on the longest job also showed a significant association: in the model including CAI, the adjusted OR for the lowest educational level was 3.3 (95% CI: 1.6-7.1), similar to the result for the lifetime occupation (data not shown).
Associations between respiratory symptoms, airflow obstruction, current occupation and lifetime occupational exposure were evaluated by calculating odds ratios (ORs) with 95% Confidence Interval (CI), using logistic regression analysis adjusting for sex, age and smoking status.
Lifetime occupational histories (industry and job title) were coded by using standard international classifications and were translated into occupations known (list A) or suspected (list B) to be associated with lung cancer.
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