Ditemukan 16 dokumen yang sesuai dengan query :: Simpan CSV
Kematian pasien Penyakit Ginjal Kronik (PGK) pada usia dewasa yang menjalankan hemodialisis setelah tiga bulan adalah jarang. Namun, masih mungkin terjadi. Padahal layanan hemodialisis dibutuhkan seumur hidup. Tujuan studi ini adalah engetahui faktor – faktor risiko yang berhubungan dengan kematian pasien PGK usia dewasa yang menjalankan hemodialisis reguler. Metode yang digunakan adalah kasus kontrol tanpa pencocokkan dengan perbandingan 1:2. Uji statistik yang digunakan adalah regresi logistik. Faktor risiko yang berhubungan terhadap kematian adalah riwayat gagal jantung (OR = 2,3; IK 95% = 1,2 – 4,4; nilai p = 0,009), riwayat obstruksi pasca ginjal (OR = 3,5; IK 95% = 1,6 – 7,6; nilai p = 0,002), glukosa sewaktu ≥140 mg/dl (OR = 2,1; IK 95% = 1,2 – 3,6; nilai p = 0,011), Gangguan Ginjal Akut (GGA) (OR = 6,5; IK 95% = 3,8 – 11,1; nilai p = 0,000), dan Indeks Massa Tubuh (IMT) <18,5 kg/mm2 (OR = 3,0; IK 95% = 1,2 – 7,6; nilai p = 0,019).
Faktor – faktor risiko yang berhubungan dengan kematian pasien PGK pada usia dewasa yang menjalankan hemodialisis reguler adalah riwayat gagal jantung, riwayat obstruksi pasca ginjal, glukosa sewaktu ≥140 mg/dl, GGA, dan IMT <18,5 kg/mm2
Mortality of Chronic Kidney Disease (CKD) patients in adults undergoing hemodialysis after three months is rare. However, it is still possible. Even though hemodialysis services are needed for life. The objective of this study is to determine the risk factors associated with the death of adult CKD patients undergoing regular hemodialysis. The study design was unmatched control case with a ratio of 1:2. The statistical test used was logistic regression. Risk factors were history of heart failure (OR = 2.3; CI 95% = 1.2 – 4.4; p value = 0.009), history of obstruction post renal (OR = 3.5; CI 95% = 1.6 – 7.6; p value = 0.002), random glucose ≥140 mg/dl (OR = 2.1; CI 95% = 1.2 – 3.6; p value= 0.011), Acute Kidney Injury (AKI) (OR = 6.5; CI 95% = 3.8 – 11.1; p value = 0.000), and Body Mass Index
Keywords: Hypertension, Fast Food, Soft Drink, Meat and IFLS-5.
Coronary Heart Disease (CHD) remains a major cause of morbidity and mortality in women in Indonesia. The global epidemic of obesity contributes to the increase of cardiovascular events. In Indonesia, there have not been many studies evaluate the association between abdominal obesity and CHD in women. Therefore, this study aims to determine the association between abdominal obesity and CHD in women aged 25-65 years in Bogor. This retrospective cohort study involves 2.451 respondents of FRPTM Cohort Study who met the inclusion and exclusion criteria with an observation period of 6 years. The main independent variable of this study was abdominal obesity based on Waist-to-Height-Ratio (WHtR), while outcome of the interest was CHD based on the results of interview and/or ECG results. Cox regression analysis was performed to estimated Hazard Ratio (HR) with a 95% Confidence Interval (95% CI). The results showed that the incidence rate of CHD in women was 19 per 1.000 person-years. Women with abdominal obesity were 1,38 times (95% CI 1,01-1,89) more likely to have CHD than those without abdominal obesity after adjustment for age, hypertension, and menopause status. Early detection of CHD risk factor, especially abdominal obesity, is important, so that prevention and lifestyle modification can be implemented immediately.
Previous studies have reported that there are long-term effects of quitting smoking on weight gain which also exacerbate prehypertension, but the effects are unclear. This study aims to determine the association of smoking and obesity on the incidence of prehypertension in young adults in Indonesia. This quantitative research is a cross-sectional analytic study using secondary data from Riskesdas 2018 with samples of 17,698 and Cox regression analysis. The results of this study explain that the prevalence of prehypertension in young adults in Indonesia is 52.61%. Multivariate analysis showed non-smokers and obese young adults had the greatest risk of developing prehypertension, which was 1.33 times. However, a decreasing effect was found in young adults who smoked and were obese on the incidence of prehypertension, which was 1.17 times, and a protective effect was found in those who smoked and were not obese (PR=0.88) due to the antagonistic interaction of smoking and obesity on prehypertension by 3.42%. Check blood pressure using applications on smartwatches and smartphones in young adults who smoke and focus on those who are obese plus increasing the implementation of Posbindu PTM in public places and promoting health through social media.
