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In most countries, women account for between 30% and 50% of employment in ICT-skilled employment according to the broad, ICT-using definition (Figure 1). Figure 1 Share of women in ICT-using occupation (selected countries).
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Studies were excluded if in children or adolescents, or in subjects at especially high risk of respiratory disease (e.g. workers in risky occupations), selected as having co-existing diseases or conditions, or from atypical populations likely to have a highly unusual prevalence of smoking or disease.
A healthy control with matching sex, age (±5 years) and occupation was selected for each patient in his/her resident sub-district by convenient sampling.
Although SES is a multidimensional concept that can be operationalised using different indicators (ie, education, income and/or occupation), we selected household income as the SES indicator since it provided the most easily harmonised cross-country data at the lowest administrative level.
The occupations were selected for analysis if the occupant worked in a particular occupation at least for one year and at least 2% of cases for that occupational category.
13 Normal weight women with desk-bound occupations were selected from a larger cohort to minimise variability in age, weight and overall anthropometry.
This study examined trends and differentials in the profile of health occupations for selected countries with developed market and transitional economies participating in the Luxembourg Income Study.
Specifically for women's focus groups and male interviews, the sampling procedure involved grouping the participants by their age, education, and occupation, and selecting from each of these sub-groups.
Cases (n = 1,189; 76% participation rate) and controls (n = 982; 52% participation rate) provided information on their occupational histories and, for selected occupations, on possible workplace exposure to TCE using job-specific interview modules.
Students voluntarily deciding on their vocational training identify more strongly with and engage more effortfully in their selected occupation.
However, they did not weight the D.C. elite sample beyond screening for the "key criteria listed of college education or higher, 75k of income and selected occupation levels".
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