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High blood pressure (hypertension) is an increase in arterial blood pressure. If left untreated and uncontrolled, hypertension can lead to death caused by complications. Mortality in patients with hypertension most often occurs because of stroke, kidney failure, heart disease, or disorders of the eye. In high blood pressure, heart pumps blood to the body with exceptional high pressure, one reason is because of emotional stress. Increased blood pressure will be greater in individuals who have a high tendency of emotional stress.
Kata kunci :Hipertensi, aktivitas fisik, cross sectional, cox regression, IFLS 5.
Hypertension is the leading causes for prematur death worldwide. Globally, WHOreported about nearly one billion people living with hypertension and it is estimated thatthis number will escalate to more than 1,5 billion by the year 2025. Insufficient physicalactivity is one of the modifiable risk factors for hypertension, which is not required greateffort and cost. In 2013, the prevalence of hypertension among Indonesian adults was25,8% and the proportion of insufficient physical activity was 26,1%. This study aims toknow the prevalence of hypertension, the proportion of insufficient physical activity andalso its relationship among the Indonesian adults based on IFLS 5 data in 2014. A cross-sectional study was conducted among 26.043 respondents in IFLS 5 aged 18 years andabove. The JNC-7 guidelines used to defined hypertension (if systolic blood pressure≥140 mmHg and/or diastolic ≥90 mmHg), whereas physical activity measured by thehabit of performing physical activity for at least 10 minutes a week. Statistical test onbivariate and multivariate analysis using cox regression. The prevalence of hypertensionwas 24,09% and the proportion of insufficient physical activity was 35,68%. Statisticaltest shown there was a significant relationship between physical activity and hypertension(P value 0,000), people with insufficient physical activity at risk 1,15 times havinghypertension than those with active physical activity (PR: 1,15; 95 % CI: 1,09-1,21).Adults should do at least 30 minutes walking everyday, province/district health officeneeds to use social media such as Facebook, Instagram, Twitter, etc, in order to promotingthe benefit of physical activity.
Keywords :Hypertension, physical activity, cross sectional, cox regression, IFLS 5.
Berdasarkan data WHO (1996), dari 50% penderita hipertensi yang diketahui hanya 25% mendapat pengobatan, 12,5% diobati dengan baik. Penelitian ini bertujuan diketahuinya pengaruh status pekerjaan wanita menikah dengan kejadian Hipertensi tak terkendali di Provinsi Lampung. Desain yang digunakan dalam penelitian ini adalah crossectional, untuk melihat hubungan variabel independen dengan variabel dependen digunakan uji regresi logistik populasi semua wanita menikah di Provinsi Lampung, sampel 5353 responden berasal dari data Riskesdas tahun 2007. Prevalensi Hipertensi pada wanita menikah di Provinsi Lampung lebih tinggi (40,73%) dari prevalensi hipertensi menurut Depkes (31,7%). Status pekerjaan tidak berhubungan dengan kejadian hipertensi, POR 1,09 (95% CI 0.93-1.27). Variabel perancu yang berhubungan kuat adalah variabel umur pada kelompok postmenopause POR 7,11 (95% CI 5.70-8.86) dan kelompok premenopause POR 2,73 (95% CI 2.36-3.16) serta IMT POR 2,50 (95% CI 2.15-2.91). Kata Kunci: Hipertensi, status pekerjaan, wanita menikah.
Based on WHO data (1996), 50% of patients with hypertension are known 25% who received treatment, 12.5% were treated with either. The aim of this study is to know about the influence of employment status of married women with hypertension uncontrol incidence in Lampung province. This study uses crossectional design to looking for the most effect between the independent variables and the dependent variable; using logistic regression test. Population of all married women in Lampung province; about 5353 samples derived from Riskesdas data in 2007. Hypertension in women married in Lampung province was higher (40.73%) than prevalence of hypertension according to the Ministry of Health (31.7%). Employment status did not statistically significantly affect POR 1,09 (95% CI 0.93-1.27). The most influential variable is the age postmenopause POR 7,11 (95% CI 5.70-8.86), premenopause POR 2,73 (95% CI 2.36-3.16) and IMT POR 2,50 (95% CI 2.15-2.91). Keywords: Hypertension, employment status, married women.
