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  1. Musilawati Muhajir, Amilia Aminuddin, Azizah Ugusman, Norizam Salamt, Zanariyah Asmawi, Aini Farzana Zulkefli, et al.
    Sains Malaysiana, 2018;47:2481-2489.
    The use of photoplethysmography (PPG) as one of cardiovascular disease (CVD) marker has got more attention due to
    its simplicity, noninvasive and portable characteristics. Two new markers had been developed from PPG namely PPG
    fitness index (PPGF) and vascular risk prediction index (VPRI). The aim of the present study was to compare PPGF level
    between young women with and without CVD risk factors, to investigate the relationship between PPGF with other CVD
    markers and to assess the sensitivity of VRPI in classifying young women that have CVD risk factors. A total of 148 young
    women aged 20-40 years old with and without CVD risk factors were involved in this study. CVD risk factors comprised of
    abdominal obesity, hypertension, dyslipidemia, smoking and family history of premature CVD. Subjects were categorized
    into healthy or having CVD risk factor. Measurements taken were anthropometric data, blood pressure, lipid profile,
    pulse wave velocity (PWV), augmentation index (AIx), high sensitivity C-Reactive Protein (hs-CRP), PPGF and VRPI. SPSS
    version 20 was used for data analysis with p<0.05 as significant value. The mean subjects’ age was 29.97±5.27 years
    old. There was no difference in PPGF level between groups (p>0.05). PPGF was independently determined by PWV (β=-
    0.31, p<0.001) and height (β=0.16, p=0.04). VRPI had 77.9% sensitivity in identifying subjects with CVD risk factor. In
    conclusion, PPGF correlates with PWV and has potential to be an indicator of aortic stiffness while VRPI is sensitive to
    classify those with CVD risk factor.
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