TY - JOUR
T1 - Cardiovascular disease
T2 - Application of a composite risk index from the telehealth system in a district community
AU - Yip, Y. B.
AU - Wong, Thomas K.S.
AU - Chung, Joanne W.Y.
AU - Ko, Stanley K.K.
AU - Sit, Janet W.H.
AU - Chan, Tony M.F.
PY - 2004/11
Y1 - 2004/11
N2 - Assessing a combination of cardiovascular disease (CVD)-risk factors may be a practical tool for risk assessment and for finding the high-risk group among local community members. This study examines the association between the number of CVD-risk factors, regardless of any specific combination with the CVD ambit, using data from 1,570 residents in Tsing Yi community (Hong Kong) who registered with the Telehealth System. A quantitative composite CVD Risk Index (CVDRI) with scores ranging from 0 to 6 included rankings for high systolic and diastolic blood pressure, presence of diabetes, body mass index (BMI), smoking, and age. Multivariate logistic regression was used to estimate odds ratios for the prevalence of CVD. Those with a CVDRI of 1, 2, or 3 and above were 1.7 [95% confidence interval (CI) = 1.34-3.991, 5.3 (95% CI = 3.60-7.90), and 10 times (95% CI = 6.41-15.50) more likely to have CVD, respectively, than those with a risk index of 0. Among the CVDRI components, high blood pressure had the greatest influence on CVD risk, followed by presence of diabetes and high BMI. In conclusion, a CVDRI based on existing health data from a Telehealth System was developed and used to identify local community members at risk of CVD. Nurse intervention may achieve greater reduction of CVD morbidity and mortality if multiple risk factors for the high-risk group are addressed at the same time.
AB - Assessing a combination of cardiovascular disease (CVD)-risk factors may be a practical tool for risk assessment and for finding the high-risk group among local community members. This study examines the association between the number of CVD-risk factors, regardless of any specific combination with the CVD ambit, using data from 1,570 residents in Tsing Yi community (Hong Kong) who registered with the Telehealth System. A quantitative composite CVD Risk Index (CVDRI) with scores ranging from 0 to 6 included rankings for high systolic and diastolic blood pressure, presence of diabetes, body mass index (BMI), smoking, and age. Multivariate logistic regression was used to estimate odds ratios for the prevalence of CVD. Those with a CVDRI of 1, 2, or 3 and above were 1.7 [95% confidence interval (CI) = 1.34-3.991, 5.3 (95% CI = 3.60-7.90), and 10 times (95% CI = 6.41-15.50) more likely to have CVD, respectively, than those with a risk index of 0. Among the CVDRI components, high blood pressure had the greatest influence on CVD risk, followed by presence of diabetes and high BMI. In conclusion, a CVDRI based on existing health data from a Telehealth System was developed and used to identify local community members at risk of CVD. Nurse intervention may achieve greater reduction of CVD morbidity and mortality if multiple risk factors for the high-risk group are addressed at the same time.
KW - Cardiovascular disease
KW - Community assessment
KW - Risk assessment
KW - Risk index
KW - Telehealth
UR - http://www.scopus.com/inward/record.url?scp=10044293086&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=10044293086&partnerID=8YFLogxK
U2 - 10.1111/j.0737-1209.2004.21604.x
DO - 10.1111/j.0737-1209.2004.21604.x
M3 - Article
C2 - 15566557
AN - SCOPUS:10044293086
SN - 0737-1209
VL - 21
SP - 524
EP - 532
JO - Public Health Nursing
JF - Public Health Nursing
IS - 6
ER -