Nino Isakadze1, Elsayed Z Soliman2, Viola Vaccarino3, William Whang4, Rachel Lampert5, J Douglas Bremner6, Amit J Shah7. 1. Division of Medicine, Emory University School of Medicine, Atlanta, GA, United States. 2. Epidemiological Cardiology Research Center, Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston Salem, NC, United States; Section on Cardiology, Department of Internal Medicine, Wake Forest School of Medicine, Winston Salem, NC, United States. 3. Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States; Department of Medicine, Division of Cardiology, Emory University School of Medicine, Atlanta, GA, United States. 4. Division of Cardiology, Mount Sinai Medical Center, NY, United States. 5. Department of Internal Medicine, Division of Cardiovascular Medicine, Yale University School of Medicine, New Haven, CT, United States. 6. Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States. 7. Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States; Department of Medicine, Division of Cardiology, Emory University School of Medicine, Atlanta, GA, United States; Division of Cardiology, Department of Medicine, Atlanta Veterans Affairs Medical Center, Atlanta, GA, United States. Electronic address: ajshah3@emory.edu.
Abstract
BACKGROUND: The mechanisms by which psychological factors may influence possibly arrhythmia risk are not known. We hypothesized that psychological wellness, measured by the General Well-Being Schedule (GBWS), is associated with less repolarization heterogeneity as measured by T-axis. We also explored whether T-axis was a mediator in the relationship of GWBS with adverse cardiac outcomes. METHODS: We studied 5533 adults aged 25-74 years without a history of CVD from NHANES I (National Health and Nutrition Examination Survey) (1971-75). Frontal T-axis was obtained through 12-lead ECG and characterized as normal (15° to 75°), borderline (-15° to 15° or 75° to 105°) or abnormal (>105° or <-15°). RESULTS: The mean ± SD age was 43.1 ± 11.5 years and 55% were women. A 1-SD increase in GWBS score associated with a 23% reduced odds of abnormal T-axis (p < 0.001) and 11% lower hazard of composite CHD hospitalization and death (p = 0.02). When adjusting for sociodemographic factors, health behaviors, and CHD risk factors, the association was minimally changed and remained statistically significant. Additional adjustment for T-axis did not change the relationship with outcomes. CONCLUSION: General well-being is independently associated with less abnormal frontal T-axis and CHD events in otherwise healthy individuals. Published by Elsevier B.V.
BACKGROUND: The mechanisms by which psychological factors may influence possibly arrhythmia risk are not known. We hypothesized that psychological wellness, measured by the General Well-Being Schedule (GBWS), is associated with less repolarization heterogeneity as measured by T-axis. We also explored whether T-axis was a mediator in the relationship of GWBS with adverse cardiac outcomes. METHODS: We studied 5533 adults aged 25-74 years without a history of CVD from NHANES I (National Health and Nutrition Examination Survey) (1971-75). Frontal T-axis was obtained through 12-lead ECG and characterized as normal (15° to 75°), borderline (-15° to 15° or 75° to 105°) or abnormal (>105° or <-15°). RESULTS: The mean ± SD age was 43.1 ± 11.5 years and 55% were women. A 1-SD increase in GWBS score associated with a 23% reduced odds of abnormal T-axis (p < 0.001) and 11% lower hazard of composite CHD hospitalization and death (p = 0.02). When adjusting for sociodemographic factors, health behaviors, and CHD risk factors, the association was minimally changed and remained statistically significant. Additional adjustment for T-axis did not change the relationship with outcomes. CONCLUSION: General well-being is independently associated with less abnormal frontal T-axis and CHD events in otherwise healthy individuals. Published by Elsevier B.V.
Authors: Kalyanam Shivkumar; Olujimi A Ajijola; Inder Anand; J Andrew Armour; Peng-Sheng Chen; Murray Esler; Gaetano M De Ferrari; Michael C Fishbein; Jeffrey J Goldberger; Ronald M Harper; Michael J Joyner; Sahib S Khalsa; Rajesh Kumar; Richard Lane; Aman Mahajan; Sunny Po; Peter J Schwartz; Virend K Somers; Miguel Valderrabano; Marmar Vaseghi; Douglas P Zipes Journal: J Physiol Date: 2016-06-14 Impact factor: 5.182
Authors: William Whang; James Peacock; Elsayed Z Soliman; Carmela Alcantara; Saman Nazarian; Amit J Shah; Karina W Davidson; Steven Shea; Paul Muntner; Daichi Shimbo Journal: Am J Cardiol Date: 2014-09-28 Impact factor: 2.778
Authors: Gil F Salles; Sergio S Xavier; Andrea S Sousa; Alejandro Hasslocher-Moreno; Claudia R L Cardoso Journal: Am J Cardiol Date: 2004-05-01 Impact factor: 2.778