Faculty of Public Health - Andalas University - OCS, 13th IEA SEA Meeting and ICPH - SDev

Font Size: 
Predictors of Coronary Heart Disease (CHD) among adults (During six years of Cohort Study on Risk Factors of Non-Communicable Disease)
Sulistyowati Tuminah Darjoko

Last modified: 2018-09-16

Abstract


Predictor of Coronary Heart Disease (CHD) incidence among adults (Cohort Study on Risk Factors of Non-Communicable Disease)

Sulistyowati Tuminah Darjoko, Tri Wahyuningsih, Aprildah Nur Sapardin

National Institute Health Research Development, Ministry of Health, Republic of Indonesia

Corresponding Author: Sulistyowati T. Darjoko, E-mail: watidarjoko@gmail.com, Phone: +628129575770

Background: CHD placed second position on hazard rate of major non-comunicable diseases after Diabetes Mellitus according to result of Cohort Study on Risk Factors of Non-Communicable Disease (RFNCD). Aims: To determine the magnitude of predictors of CHD incidence.

 

Materials and methods: A Cohort Study on RFNCD conducted to permanent residents aged ≥22 years old at five villages in Central Bogor District, Bogor City for six years observation. Inclusion: Willing to follow all RFNCD Cohort Study activities. Exclusion: Subject who had have CHD diagnosed in Baseline Study. Data from 4840 subjects have analyzed using Cox Regression.

 

Results: Subjects with carbohydrate intake ≥60% rather than those <60% from total energy had 2.8-fold higher for CHD risk [HR=2,790; 95% CI: 1,962—3,967; P=0,000]. Subjects aged ≥55 years old rather than those <55 years old had 2.6-fold higher of CHD risk [HR=2,573; 95% CI: 1,803—3,671; P=0,000]. Subjects with blood total cholesterol ≥200 mg/dL rather than those <200 mg/dL had 1.9-fold higher of CHD risk [HR=1,893; 95% CI: 1,319—2,715; P=0,001].

Conclusions: Predictors of CHD incidence were carbohydrate intake, age and blood total cholesterol level. Suggestion: An effort in controlling CHD risk factors is needed especially in consumption behavior through a family approach.

 

Acknowledgement: I am particularly grateful for the assistance given by DR. Dra. Woro Riyadina, M.Kes. She gave insightful comments and suggestions.

 

Keywords: predictor, CHD, carbohydrate, age, cholesterol