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Stratified data analyses by attained age or leisure-time physical activity did not change the observation that the prediction was stronger with the abdominal obesity indicators than with BMI or ABSI (Supplementary Table 1).
Stratified data for various reproductive categories were sparse and lacked power for meaningful analysis (Table 3).
Stratified data analysis was conducted with regard to age groups, gender, and cause of death.
Stratified data analyses are not presented, but are available upon request.
Stratified data did not point out differences related to gender, but values were higher in smokers than in non-smokers (p <0.001).
Stratified data sets were also created with daily death counts by sex, age group and place of death (outside or in a hospital).
Similar(12)
Finally, the WHO age-stratified and sex-stratified data are used to determine the weighted multiplier.
The results of the gender stratified variables were not different from the ones obtained when analyzing the non-stratified data.
In 2014, 561 primary school pupils were interviewed (50% girls), and logistic regression analysis was performed on gender-stratified data, adjusting for sociodemographic differences.
Age-stratified data were also obtained where possible.
We used age-stratified data to estimate cytology screening rates (12 – 12 ).
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