GAMBARAN FAKTOR RISIKO DAN PROBABILITAS STROKE BERDASARKAN APLIKASI STROKE RISKOMETERTM DI PUSKESMAS TALUN

Abstract

Latar Belakang : Stroke merupakan salah satu penyebab morbiditas dan mortalitas di seluruh dunia. Menurut data World Health Organization pada tahun 2019 diperkirakan 17,9 juta orang meninggal akibat penyakit kardiovaskular, 85% disebabkan oleh serangan jantung dan stroke. Faktor risiko stroke diantaranya usia, hipertensi, obesitas, kebiasaan merokok, kurangnya aktivitas fisik, dan konsumsi alkohol. Stroke Riskometer merupakan aplikasi pada smartphone yang dapat mengukur risiko stroke tiap individu dan dapat memprediksi probabilitas risiko stroke dalam kurun waktu 5 hingga 10 tahun yang akan datang. Tujuan : Penelitian ini dilakukan untuk mengetahui probabilitas penyakit stroke berdasarkan aplikasi Stroke Riskometer^TM di Puskesmas Talun. Metode : Metode penelitian betupa deskriptif observasional dengan rancangan cross sectional. Sampel yang digunakan sebanyak 84 responden dengan menggunakan teknik total sampling. Data diperoleh melalui kuesioner dari aplikasi Stroke Riskometer^TM. Hasil : Hasil penelitian dari 84 responden didapatkan 3 responden (3,6%) laki-laki, 10 responden (11,9%) lansia, 3 responden (3,6%) merokok, 36 responden (42,8%) mengalami obesitas, 26 responden (30,9%) mengalami hipertensi, 1 responden (1,2%) mengalami diabetes melitus, 9 responden (10,7%) memiliki riwayat keluarga mengalami stroke, dan 6 responden (7,2%) memiliki riwayat stress dan Traumatic Brain Injury. Pada penelitian ini menemukan 90,5% responden memiliki risiko stroke rendah (<5%), 7,1% responden memiliki risiko stroke sedang (5% hingga <14%) dan 2,4% responden memiliki risiko stroke tinggi (>14%). Simpulan : Faktor risiko paling banyak pada responden penelitian yaitu obesitas sebanyak 42.8% dan mayoritas responden memiliki probabilitas risiko stroke rendah (<5%) sebanyak 90,5%.

Kata Kunci : Faktor Risiko Stroke, Probabilitas Stroke, Stroke Riskometer^TM

ABSTRACT

Background : Stroke is one of the causes morbidity and mortality worldwide. According to World Health Organization data in 2019 estimated 17.9 million people died from cardiovascular disease, 85% which were caused heart attacks and strokes. Risk factors stroke include age, hypertension, obesity, smoking, lack physical activity, alcohol consumption. Stroke Riskometer is application on smartphones that can measure the risk stroke for each individual and can predict probability stroke risk in the next 5 to 10 years. Aim : This study was conducted to determine probability stroke based on Stroke Riskometer^TM application at Talun Health Center. Method : The research method was descriptive observational with cross sectional design. The sample used 84 respondents using total sampling technique. Data was obtained through questionnaire from Stroke Riskometer^TM application. Result : The results of study 84 respondents found 3 respondents (3.6%) were male, 10 respondents (11.9%) were elderly, 3 respondents (3.6%) smoked, 36 respondents (42.8%) obese, 26 respondents (30.9%) had hypertension, 1 respondent (1.2%) had diabetes mellitus, 9 respondents (10.7%) had family history of stroke, and 6 respondents (7.2%) had history of stress and Traumatic Brain Injury. This study found 90.5% of respondents had a low stroke risk (<5%), 7.1% of respondents had moderate stroke risk (5% to <14%) and 2.4% of respondents had high stroke risk (>14%). Conclusion : The most risk factor in the study respondents was obesity as much 42.8% and the majority of respondents had a low stroke risk probability (<5%) as much as 90.5%.

Keywords : Stroke Risk Factors, Stroke Probability, Stroke Riskometer^TM