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ABSTRACT: Objective
To assess the relationship between risk factor clusters and cardiovascular disease (CVD) incidence in Asian and Caucasian populations and to estimate the burden of CVD attributable to each cluster.Setting
Asia Pacific Cohort Studies Collaboration.Participants
Individual participant data from 34 population-based cohorts, involving 314?024 participants without a history of CVD at baseline.Outcome measures
Clusters were 11 possible combinations of four individual risk factors (current smoking, overweight, blood pressure (BP) and total cholesterol). Cox regression models were used to obtain adjusted HRs and 95% CIs for CVD associated with individual risk factors and risk factor clusters. Population-attributable fractions (PAFs) were calculated.Results
During a mean follow-up of 7 years, 6203 CVD events were recorded. The ranking of HRs and PAFs was similar for Australia and New Zealand (ANZ) and Asia; clusters including BP consistently showed the highest HRs and PAFs. The BP-smoking cluster had the highest HR for people with two risk factors: 4.13 (3.56 to 4.80) for Asia and 3.07 (2.23 to 4.23) for ANZ. Corresponding PAFs were 24% and 11%, respectively. For individuals with three risk factors, the BP-smoking-cholesterol cluster had the highest HR (4.67 (3.92 to 5.57) for Asia and 3.49 (2.69 to 4.53) for ANZ). Corresponding PAFs were 13% and 10%.Conclusions
Risk factor clusters act similarly on CVD risk in Asian and Caucasian populations. Clusters including elevated BP were associated with the highest excess risk of CVD.
SUBMITTER: Peters SAE
PROVIDER: S-EPMC5855160 | biostudies-literature | 2018 Mar
REPOSITORIES: biostudies-literature
BMJ open 20180306 3
<h4>Objective</h4>To assess the relationship between risk factor clusters and cardiovascular disease (CVD) incidence in Asian and Caucasian populations and to estimate the burden of CVD attributable to each cluster.<h4>Setting</h4>Asia Pacific Cohort Studies Collaboration.<h4>Participants</h4>Individual participant data from 34 population-based cohorts, involving 314 024 participants without a history of CVD at baseline.<h4>Outcome measures</h4>Clusters were 11 possible combinations of four indi ...[more]