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Activity Number:
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417
- Contributed Poster Presentations: Section on Statistics in Epidemiology
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Type:
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Contributed
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Date/Time:
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Tuesday, August 1, 2017 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistics in Epidemiology
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Abstract #323810
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Title:
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Longer Telomere Length Is Associated with Hypertension in African American Women: THE MH-GRID STUDY
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Author(s):
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Ruihua Xu* and Sharon Davis and Amadou Gaye and Samson Gebreab and Rumana J. Khan and Pia Riestra and Amadi V. Gibbons and Rakale Quarrels and Gary H. Gibbons
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Companies:
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National Institutes of Health and National Human Genome Research Institute and National Human Genome Research Institute and National Human Genome Research Institute and National Human Genome Research Institute and National Human Genome Research Institute and National Human Genome Research Institute and Morehouse School of Medicine and National Human Genome Research Institute
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Keywords:
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telomere length ;
hypertension ;
African American ;
Multivariable sequential logistic regression ;
case/control study ;
MH-GRID study
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Abstract:
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The association of telomere length and hypertension among African Americans has not been established. A case/control study of 337 participants aged 30 to 55 from the MH-GRID study conducted from 2012-2013 was examined. Cases were defined as hypertensive based on systolic/diastolic blood pressure of < 140/90mm Hg and on >2 antihypertensive medications for at least 3 months or >140/90 and on >3 antihypertensive medications for at least 3 months. Controls were defined as those with optimal blood pressure based on systolic/diastolic blood pressure of < 120/80mm Hg. Relative telomere length (T/S ratio) was measured from peripheral blood leukocytes using quantitative real-time polymerase chain reaction. Multivariable sequential logistic regression models were conducted among the aggregate sample and stratified by gender. In the model adjusted for age, those with longer telomeres were almost 1.5 time more likely to have hypertension ( p =0.003). The remaining models sequentially adjusted for gender and socioeconomic status, smoking, alcohol consumption and overweight status also revealed significant associations.
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Authors who are presenting talks have a * after their name.
