Abstract Title

Determining Effective Collection and Identification Measures of Estradiol in African-American Women

Presenter Name

Jasmun Askew, BS

Abstract

Purpose: Estrogen is important for overall health and reproduction, and has been linked to obesity. Currently, estrogen is time and cost intensive to measure. The purpose of this research was to establish a more cost-effective way to measure estradiol in community based settings, and to determine a methodology for collection and identification of peak estradiol levels.

Methods: Four saliva samples, medication information, and previous menstrual cycle history from 61 premenopausal and postmenopausal African-American women were collected over a 4-6 week time period. The saliva samples were analyzed by an independent laboratory to identify levels of estradiol (E2). A primary sample was defined as the sample that was collected on or most closely aligned with day 13 of the menstrual cycle when estradiol peaks. A secondary sample was identified if a primary sample was not aligned with day 13 of the menstrual cycle. The secondary sample was determined by projecting the next menstrual cycle period. A secondary sample and the average of all samples were calculated to determine the best method for identifying peak estradiol levels.

Results: Using this protocol, for the premenopausal subjects, 56.3% of their primary samples were equal to their peak estradiol sample, and 37.5% of their average estradiol samples were equal to their peak sample. Only 6.3% of the participants’ secondary samples were equal to their peak level. For the postmenopausal women, 73.9% of the participants’ average samples were equal to or ≤ .03 of their peak estradiol sample.

Conclusion: This data suggests that this modified protocol demonstrates preliminary ability to identify peak estradiol levels in a community setting in a cost-effective and time efficient manner.

Presentation Type

Poster

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Determining Effective Collection and Identification Measures of Estradiol in African-American Women

Purpose: Estrogen is important for overall health and reproduction, and has been linked to obesity. Currently, estrogen is time and cost intensive to measure. The purpose of this research was to establish a more cost-effective way to measure estradiol in community based settings, and to determine a methodology for collection and identification of peak estradiol levels.

Methods: Four saliva samples, medication information, and previous menstrual cycle history from 61 premenopausal and postmenopausal African-American women were collected over a 4-6 week time period. The saliva samples were analyzed by an independent laboratory to identify levels of estradiol (E2). A primary sample was defined as the sample that was collected on or most closely aligned with day 13 of the menstrual cycle when estradiol peaks. A secondary sample was identified if a primary sample was not aligned with day 13 of the menstrual cycle. The secondary sample was determined by projecting the next menstrual cycle period. A secondary sample and the average of all samples were calculated to determine the best method for identifying peak estradiol levels.

Results: Using this protocol, for the premenopausal subjects, 56.3% of their primary samples were equal to their peak estradiol sample, and 37.5% of their average estradiol samples were equal to their peak sample. Only 6.3% of the participants’ secondary samples were equal to their peak level. For the postmenopausal women, 73.9% of the participants’ average samples were equal to or ≤ .03 of their peak estradiol sample.

Conclusion: This data suggests that this modified protocol demonstrates preliminary ability to identify peak estradiol levels in a community setting in a cost-effective and time efficient manner.