The risk of malnutrition in maintenance hemodialysis (MHD) patients must be monitored routinely through nutrition screening so that morbidity and mortality can be decreased. Comparing the validity of the simple nutrition screening tool (SNST) and nutritional risk screening 2002 (NRS 2002) as valid and reliable nutrition screening tools in predicting malnutrition. The data were collected from March to April 2015 in the Hemodialysis Unit of Dr. Sardjito Hospital, Indonesia as an observational study. A cross-sectional design study was used to screen 105 MHD patients using the SNST and NRS 2002, and then, the nutritional status of all individuals was assessed used the following subjective parameters: subjective global assessment (SGA) and dialysis malnutrition score (DMS). The objective parameters were the following: Body mass index (BMI), mid-upper-arm circumference (MUAC), handgrip strength (HGS), and a three-day food record. Chi-squared test, t-test, and receiving operating characteristic curve were used for the statistical analysis. In predicting malnutrition, the validity of the SNST is better than the NRS 2002 in MHD patients against either SGA (Se 94.3% vs. 82.9%; Sp 60% vs. 58.6%; and area under curve (AUC) 0.847 vs. 0.749) or DMS (Se 90.0% vs. 81.6%; Sp 74.0% vs. 62.8%; and AUC 0.833 vs. 0.746), while the NRS 2002 is better than the SNST based on BMI, MUAC, HGS, and energy intake (P<0.001). In predicting malnutrition, SNST is better than NRS 2002 based on the subjective assessments (SGA and DMS), and NRS 2002 is better than SNST based on the objective assessments (BMI, MUAC, and HGS).

Background: Dietary pattern has changed in almost all over the world that nowadays people consume high fat and low fiber diet. These changes are responsible for the increased obesity problems in community. Ratio between waist circumference and hip circumference could become an indicator for android obesity. This type of obesity has a stronger relationship with increasing risk factor of coronary heart disease, hypertension, and diabetes mellitus, compared to gynecoid type obesity.Objective: To identify relationship between dietary pattern and waist hip circumference ratio with blood pressure at Mergangsan Primary Health Care Yogyakarta.Method: This was an observational research with cross sectional study, held at November 2008. Research population was all adult patients came to Mergangsan Primary Health Care. Independent variable including dietary pattern and hip waist circumference ratio (RLPP), and blood pressure as dependent variable. Characteristic sample data were collected using questionnaire and interview, data of waist–hip circumference ratio were collected using metlin (accuracy 0.1 cm), data of blood pressure were measured with sphygmomanometer, and data of dietary patterns were collected using semi-quantitative food frequency questionnaire (FFQS). Samples were taken with judgmental technique sampling. Data were analyzed using chi-square and odds ratio.Results: Percentage samples that consumed carbohydrate source diet frequently was 91.1%, whereas samples that consumed animal and plant diet served were 71 % and 88.9%; vegetables and fruits 65.6% and 52.5%, 78.9% samples seldom consumed milk, 92.2% frequently consumed oil and others consumed frequently 90%. Female samples with obesity nutritional status were 55.6%. Mean value of waist hip circumference ratio were 1.03 ± 0.13 and 0.88 ± 0.1 for male and female, respectively. Dietary pattern of some foods and blood pressure showed significant relationship, that were vegetables (p = 0.003; OR = 0.194), fruits (p = 0.00, OR = 1.17), milk (p = 0.010; OR 5.76), and others (p = 0.047; OR 5.76). Waist hip circumference ratio also had significant relationship with blood pressure (p = 0.009).Conclusion: There were significant relationships between dietary pattern of vegetables, fruits, milk, and others with blood pressure. Waist hip circumference ratio also had significant relationship with blood pressure.

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