[Evaluation of long-term community based intervention on cardiovascular diseases: 9-year follow up study of the mortality from the cohorts].
OBJECTIVE
To evaluate the effect of long-term intervention on all-causes mortality and the mortality of cardiovascular diseases.


METHODS
In May 1987 in Beijing, 2 geographically separated community with a registered population of about 10 000 each were selected as either intervention or control community. In each community, a cohort containing 2 700 subjects (>/= 35 years) free of stroke was sampled. A baseline survey was administered to screen the eligible subjects for intervention. Death information from the cohorts was collected.


RESULTS
By the end of Dec. 31, 1995, the 9-year cumulative all-causes mortalities were 3.51% (303/2 861) in the intervention cohort and 4.71% (390/2 760) in the control cohort. Cardiovascular diseases and neoplasm were the first and second leading causes of death in the cohorts. Both the all-causes mortality and the mortality of cardiovascular diseases were significantly lower in the intervention cohort than in the control group. The risk for dying of all-causes death was reduced by 22% (RR = 0.78, 95% CI: 0.67 approximately 0.91) and the risk for dying of cardiovascular diseases was reduced by 24% (RR = 0.76, 95% CI: 0.57 approximately 0.96) in the intervention cohort.


CONCLUSIONS
Long-term community intervention for the risk factors of cardiovascular diseases can effectively reduce the mortality of cardiovascular diseases as well as all-causes mortality.
Fang
X
X
Beijing Neurosurgical Institute, Beijing, 100050 China.
Wang
W
W
Chen
J
J
D000328:Adult; D002318:Cardiovascular Diseases / Q000401:mortality / Q000517:prevention & control*; D002423:Cause of Death / Q000639:trends; D015331:Cohort Studies; D003153:Community Health Services / Q000379:methods; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D008297:Male; D008875:Middle Aged; D009026:Mortality / Q000639:trends; D011314:Preventive Health Services; D016016:Proportional Hazards Models; D012307:Risk Factors; D015996:Survival Rate / Q000639:trends; D013997:Time Factors