Batasan indeks massa tubuh dan lingkar perut diabetesi di Indonesia untuk prediksi abnormalitas kadar HDL-kolesterol dan tekanan darah
Nazarina Nazarina(1*), Sri Prihartini(2), Rika Rachmawati(3)
(1) Pusat Teknologi Terapan Kesehatan dan Epidemiologi Klinik, Badan Penelitian dan Pengembangan Kesehatan, Kementerian Kesehatan, Bogor
(2) Pusat Teknologi Terapan Kesehatan dan Epidemiologi Klinik, Badan Penelitian dan Pengembangan Kesehatan, Kementerian Kesehatan, Bogor
(3) Pusat Teknologi Terapan Kesehatan dan Epidemiologi Klinik, Badan Penelitian dan Pengembangan Kesehatan, Kementerian Kesehatan, Bogor
(*) Corresponding Author
Abstract
Background: According to National Basic Health Survey (Riskesdas) 2007 and 2013 in Indonesia, diabetes prevalence had been increasing from 1,1% to 1,5%. Diabetic tends to have obesity related to abnormal blood lipid level and high blood pressure which lead to some complications such as cardiovascular diseases and hypertension. Therefore early prevention of complications is needed.
Objective: This study was to identify body mass index (BMI) and waist circumference (WC) cut-off point in Indonesian diabetic as the predictor of lipid profile and high blood pressure abnormality.
Method: The Crossectional study using secondary data, Riskesdas 2007. Subjects in this study were 615 diabetics who admitted been diagnosed as diabetes by physicians and/or had oral glucose test result ≥ 200 mg%. Data that had been analyzed were lipid profile (total cholesterol, LDL-chol, HDL-chol) and systolic-diastolic blood pressure, BMI (kg/cm2), WC (cm), lifestyle, and subject’s characteristic. Receiver Operating Characteristic (ROC) is used to identify BMI and WC cut-off point for predicting lipid profile and blood pressure abnormality.
Results: On the average, subjects have high blood pressure and dyslipidemia. Both IMT and LP are able to predict high blood pressure and low HDL-chol significantly (AUC ≥ 59; all p>0,05). BMI=23 kg/cm2 can predict low HDl-chol (Se=63,3%; Sp=54,0%; p=0,04), high systolic (Se=68,3%; Sp=60,6%; p=0,000) and diastolic (Se=68,3%; Sp=60,6%; p=0,000) blood pressure in men, whereas in women can predict only low HDL-chol (Se=72,3%; Sp=47,8%; p=0,000). LP=80 cm can screen high systolic (Se=73,8%; Sp=63,6%; p=0,000) and diastolic (Se=72,4%; Sp=55,3%; p=0,000) blood pressure in men and high systolic blood pressure in women (Se=71,5%; Sp=52,6%; p=0,000). However, to predict low HDL-chol in women, cut-off point of LP is 78 cm (Se=74,2%; Sp=41,5%; p=0,003).
Conclusion: Although BMI and LP can be used to predict high blood pressure and low HDL-chol, however, both measures have the different function when they are applied to both gender. To predict low HDL-chol in men and women, BMI=23 kg/cm2 can be used, and LP=80 cm can be applied to screen high systolic blood pressure in both genders. Nevertheless, more research is needed to show the consistency of these results, such as using better study design and considering for confounding variables (ethnic, diabetes duration, lifestyle, hypertension, and diabetes medicine).
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DOI: https://doi.org/10.22146/ijcn.18993
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