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b P values for ethnicity effect.
Missing values for ethnicity were multiply imputed.
b P values for ethnicity effect c P values for comparing Caucasians and Chinese born in the West or migrated to the West before age 21 d P values for comparing Caucasians and recent Chinese migrants e P values for comparing Chinese born in the West or migrated to the West before age 21 and recent Chinese migrants f Square-root transformed.
b P values for ethnicity effect c P values for comparing Caucasians and Chinese born in the West or migrated to the West before age 21 d P values for comparing Caucasians and recent Chinese migrants e P values for comparing Chinese born in the West or migrated to the West before age 21 and recent Chinese migrants The mean age of the study population was 60 years.
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The BMI development model indicated differences in BMI development between ethnic subgroups (p-value for ethnicity: 0.007, p-value for ethnicity*ln age): <0.0001, p-value for ethnicity*√age: <0.0001).
The P-value for ethnicity was calculated with 'not reported' subjects excluded.
We used the analysis of covariance (ANCOVA) method to adjust the mean SBP values for age, ethnicity and gender.
After deleting the records of 2632 women who had missing values for race-ethnicity, there were 141,338 records remaining.
In addition, CNV values were adjusted for ethnicity and gender.
All eligible men had a value for age, ethnicity, and self-reported stress, the outcome of interest.
The most influencing single study on the overall pooled estimates seemed to be the study conducted by Wu et al. [ 14], the sensitivity analysis, however, indicated moderate stability of the results from the facts that the ORs (95% CI, p value) for all ethnicity were 0.86 (0.74-0.99, p = 0.037) before the removal of that study and 0.94 (0.80-1.12, p = 0.488) after the removal of that study.
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