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To investigate effect modifications by individual components of the MetS, we used stricter definitions.
We also assessed effect modifications by individual components of MetS, such as abdominal obesity, diabetes, hypertension, and dyslipidemia.
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We also examined regional differences in effects and effect modification by individual characteristics.
We did not observe any statistically significant effect modification by individual level factors.
First, this was an ecological study design, so we were unable to explore effect modification by individual factors.
Case-crossover desinherentlyntly controls for fixed individual characteristics like gender and race, and allows the evaluation of effect modification by individual characteristics.
We also examined regional differences in effect estimates by estimating effects for different cities and investigated effect modification by individual characteristics for Seoul.
We evaluated the effects of temperatures on non-accidental mortality for subpopulations (Table 3) and further examined the statistical significance of effect modification by individual characteristics (Table 4).
In addition, to be able to study potential effect modification by individual factors we need to at least double the sample size (860 subjects).
In addition, we estimated effects of heat wave characteristics and effects according to cause of death and examined effect modification by individual characteristics for Seoul.
However, there was a very consistent pattern of effect modification by individual's obesity status across all adjusted models for all time- and frequency-domain measures of HRV.
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