Development and Validation of Models to Predict Hypertension in Latin Americans- [electronic resource]
Development and Validation of Models to Predict Hypertension in Latin Americans- [electronic resource]
- 자료유형
- 학위논문파일 국외
- 최종처리일시
- 20240214101240
- ISBN
- 9798379719654
- DDC
- 614.4
- 서명/저자
- Development and Validation of Models to Predict Hypertension in Latin Americans - [electronic resource]
- 발행사항
- [S.l.]: : The University of Wisconsin - Madison., 2023
- 발행사항
- Ann Arbor : : ProQuest Dissertations & Theses,, 2023
- 형태사항
- 1 online resource(138 p.)
- 주기사항
- Source: Dissertations Abstracts International, Volume: 84-12, Section: B.
- 주기사항
- Advisor: Bautista, Leonelo.
- 학위논문주기
- Thesis (Ph.D.)--The University of Wisconsin - Madison, 2023.
- 사용제한주기
- This item must not be sold to any third party vendors.
- 초록/해제
- 요약Blood pressure (BP) prediction models can be useful for identifying individuals at high risk for developing hypertension. However, using models developed in a population with different underlying characteristics can under- or over-estimate the risk. Currently, no BP prediction models have been developed for Latin Americans. Additionally, all current models predicting high BP dichotomize BP instead of predicting continuous systolic (SBP) or diastolic (DBP) blood pressure. This can lead to loss of information and statistical power and relies on predefined BP cut-points to define hypertension. In this dissertation, we start with a systematic literature review of studies that developed or externally validated models predicting hypertension risk or another BP-related outcome. Then, we develop a model to predict the risk of incident hypertension in a Latin American population (Colombia). Finally, we develop a model to predict future SBP and DBP in the same population. We found that most existing models showed a high risk of bias due to limitations in the analyses. Our binary model had good discrimination but over-predicted the risk of hypertension in some deciles of predicted risk. Our continuous model showed better agreement over deciles of predicted BP. However, it tended to under-predict the BP in the higher and lower tails of the BP distribution. Overall, we created two high BP prediction models for Colombian adults and recommend the use of the continuous model. We also share user-friendly nomograms for both models to facilitate convenient predictions.
- 일반주제명
- Epidemiology.
- 일반주제명
- Public health.
- 일반주제명
- Biostatistics.
- 키워드
- Blood pressure
- 키워드
- Calibration
- 키워드
- Discrimination
- 키워드
- Hypertension
- 키워드
- Model validation
- 기타저자
- The University of Wisconsin - Madison Population Health
- 기본자료저록
- Dissertations Abstracts International. 84-12B.
- 기본자료저록
- Dissertation Abstract International
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.