Table 1.
Characteristics of study participants at first visit, the VA Normative Aging Study, November 2000 to December 2008.
Table 2.
Summary statistics and Pearson Correlation Coefficients of meteorologic and black carbon measurements at all visits (n = 743), the VA Normative Aging Study, November 2000 to December 2008.
Figure 1.
Associations between QTc and 1 interquartile range increase of moving average 24-hr mean temperature measured from local monitor or estimated from predictive model (1a) and 24-hr standard deviation of temperature measured from local monitor (1b).
Associations were estimated in linear mixed-effect regression models with random intercept for study participant and adjusted for years since baseline visit, age at baseline visit, race, body mass index, total cholesterol, mean arterial pressure, diabetes, QT prolonging medication, years of education, percent of census tract ≥25 years of age without high school diploma, percent of census tract that is non-white, alcohol consumption, smoking status, day of week, seasonality, 24-hour mean relative humidity, and 4-hour lag black carbon concentration.
Figure 2.
Associations between QTc and 1 interquartile range increase of moving average 24-hr mean temperature (2a) and 24-hr standard deviation of temperature (2b) measured from local monitor by season.
Associations were estimated in linear mixed-effect regression models with random intercept for study participant and adjusted for years since baseline visit, age at baseline visit, race, body mass index, total cholesterol, mean arterial pressure, diabetes, QT prolonging medication, years of education, percent of census tract ≥25 years of age without high school diploma, percent of census tract that is non-white, alcohol consumption, smoking status, day of week, seasonality, 24-hour mean relative humidity, and 4-hour lag black carbon concentration; associations between moving average temperature variable and QTc for warmer months and colder months were estimated from interaction models.
Figure 3.
Associations between QTc and 1 interquartile range increase of moving average 24-hr mean temperature measured from local monitor estimated in subgroups defined by diabetes (3a), coronary heart disease (3b), obesity (3c), and age (3d).
Associations were estimated in linear mixed-effect regression models with random intercept for study participant and adjusted for years since baseline visit, age at baseline visit, race, body mass index, total cholesterol, mean arterial pressure, diabetes, QT prolonging medication, years of education, percent of census tract ≥25 years of age without high school diploma, percent of census tract that is non-white, alcohol consumption, smoking status, day of week, seasonality, 24-hour mean relative humidity, and 4-hour lag black carbon concentration; associations between moving average 24-hr mean temperature and QTc in each subgroup were estimated from interaction models.
Figure 4.
Associations between QTc and 1 interquartile range increase of moving average 24-hr standard deviation of temperature measured from local monitor estimated in subgroups defined by diabetes (3a), coronary heart disease (3b), obesity (3c), and age (3d).
Associations were estimated in linear mixed-effect regression models with random intercept for study participant and adjusted for years since baseline visit, age at baseline visit, race, body mass index, total cholesterol, mean arterial pressure, diabetes, QT prolonging medication, years of education, percent of census tract ≥25 years of age without high school diploma, percent of census tract that is non-white, alcohol consumption, smoking status, day of week, seasonality, 24-hour mean relative humidity, and 4-hour lag black carbon concentration; associations between moving average 24-hr standard deviation of temperature and QTc in each subgroup were estimated from interaction models.