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Age, Body Weight, Body Mass Index, and Sleep Duration In Predicting Hypertension Incidence At Productive Age in Medan City Darren Gosal; Yohanes Firmansyah; Ernawati Ernawati
Jurnal Medika Hutama Vol. 2 No. 02 Januari (2021): Jurnal Medika Hutama
Publisher : Yayasan Pendidikan Medika Indonesia

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Abstract

Hypertension defines as elevated blood pressure with systolic blood pressure above 140mmHg and/or diastolic blood pressure above 90mmHg. Hypertension affects 1,13 billion worldwide, mainly in low and middle-income countries. Generally, the classification of hypertension is divided into optimal, normal, high normal, grade 1, grade 2, and grade 3. Age, body weight, body mass index, and sleep duration can increase the risk of hypertension incidence. This study aimed to determine the cut off value of each variable to predict the hypertension incidence in Medan city. 352 respondents assessed with subjective questionnaire, blood pressure measurement, body weight, height and analyzed with Mann Whitney, ROC curve, and last Chi-Square with Yates correction. All variables were significantly associated (p-value<0,001) with hypertension incidence with cut off values: 45 years old, lower than 5,5 hours per night, greater than 65 kg for the body weight, and greater than 25 kg/m2. Age, body weight, body mass index, and sleep duration were associated and can be a good predictor for hypertension incidence.
Pengaruh Indeks Massa Tubuh terhadap Klasifikasi Tekanan Darah pada Penduduk Usia Produktif di Kota Medan Darren Gosal; Yohanes Firmansyah; Ernawati Su
Jurnal Kedokteran Meditek Vol 26 No 3 (2020): SEPTEMBER - DESEMBER
Publisher : Fakultas Kedokteran Universitas Kristen Krida Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36452/jkdoktmeditek.v26i2.1875

Abstract

Hypertension is a chronic condition characterized by elevated blood pressure, with systolic pressure of more than 140 mmHg and/or diastolic pressure of more than 90 mmHg. Hypertension is a global problem, which has affected 1.13 billion people worldwide. Increase of body mass index (BMI) is associated with hypertension incidence. The purpose of this study was to find out the effect of body mass index to hypertension incidence and blood pressure classification at productive age citizen in Medan. This study used a cross sectional type approach with questionnaire, blood pressure measurement, body weight, and body height measurement. A total of 352 respondents participated in this study, all were workers who came to the workplace clinic. Anova test analysis was used, followed by a Post Hoc Bonferroni. Results showed that there was an effect of BMI to hypertension incidence (p-value< 0,001). The study observed a significant difference in BMI between respondents with hypertension grade 1 and grade 2 groups (p-value< 0,001). The study concludes that BMI affects hypertension incidence and there is significant difference of BMI between grade 1 hypertension and grade 2 hypertension (p-value< 0,001).