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Analytical, Diagnostic and Therapeutic Techniques and Equipment

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Major clinical study

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Full-Text Articles in Medicine and Health Sciences

Predictors Of Noncompliance To Antihypertensive Therapy Among Hypertensive Patients Ghana: Application Of Health Belief Model, Yaa Obirikorang, Christian Obirikorang, Emmanuel Acheampong, Enoch Odame Anto, Daniel Gyamfi, Selorm Philip Segbefia, Michael Opoku Boateng, Dari Pascal Dapilla, Peter Kojo Brenya, Bright Amankwaa, Evans Asamoah Adu, Emmanuel Nsenbah Batu, Adjei Gyimah Akwasi, Beatrice Amoah Jan 2018

Predictors Of Noncompliance To Antihypertensive Therapy Among Hypertensive Patients Ghana: Application Of Health Belief Model, Yaa Obirikorang, Christian Obirikorang, Emmanuel Acheampong, Enoch Odame Anto, Daniel Gyamfi, Selorm Philip Segbefia, Michael Opoku Boateng, Dari Pascal Dapilla, Peter Kojo Brenya, Bright Amankwaa, Evans Asamoah Adu, Emmanuel Nsenbah Batu, Adjei Gyimah Akwasi, Beatrice Amoah

Research outputs 2014 to 2021

This study determined noncompliance to antihypertensive therapy (AHT) and its associated factors in a Ghanaian population by using the health belief model (HBM). This descriptive cross-sectional study conducted at Kintampo Municipality in Ghana recruited a total of 678 hypertensive patients. The questionnaire constituted information regarding sociodemographics, a five-Likert type HBM questionnaire, and lifestyle-related factors. The rate of noncompliance to AHT in this study was 58.6%. The mean age (SD) of the participants was 43.5 (±5.2) years and median duration of hypertension was 2 years. Overall, the five HBM constructs explained 31.7% of the variance in noncompliance to AHT with a …


Retinal Vascular Biomarkers For Early Detection And Monitoring Of Alzheimer's Disease, Shawn Frost, Yogi Kanagasingam, Hamid Sohrabi, J Vignarajan, P Bourgeat, Olivier Salvado, Victor Villemagne, Christopher Rowe, S Lance Macaulay, Cassandra Szoeke, Kathryn A. Ellis, David Ames, Colin L. Masters, Stephanie Rainey-Smith, Ralph N. Martins Jan 2013

Retinal Vascular Biomarkers For Early Detection And Monitoring Of Alzheimer's Disease, Shawn Frost, Yogi Kanagasingam, Hamid Sohrabi, J Vignarajan, P Bourgeat, Olivier Salvado, Victor Villemagne, Christopher Rowe, S Lance Macaulay, Cassandra Szoeke, Kathryn A. Ellis, David Ames, Colin L. Masters, Stephanie Rainey-Smith, Ralph N. Martins

Research outputs 2013

The earliest detectable change in Alzheimer's disease (AD) is the buildup of amyloid plaque in the brain. Early detection of AD, prior to irreversible neurological damage, is important for the efficacy of current interventions as well as for the development of new treatments. Although PiB-PET imaging and CSF amyloid are the gold standards for early AD diagnosis, there are practical limitations for population screening. AD-related pathology occurs primarily in the brain, but some of the hallmarks of the disease have also been shown to occur in other tissues, including the retina, which is more accessible for imaging. Retinal vascular changes …