Background: Sufficient food and other nutrient intake are necessary for recovery of hospitalized patients. Insufficient food intake may decrease nutrient metabolism, which in turn may cause malnutrition. Malnutrition in all hospital is categorized as high (about 40-45%). However, the influence of food intake on hospital malnutrition in Indonesia is still unknown.Objective: To assess the influence of nutrient intake on the occurence of hospital malnutrition.Method: This was an observational with prospective cohort study. This study as conducted in Dr. M. Jamil Padang Hospital, Dr. Sardjito Yogyakarta Hospital, and Sanglah Denpasar Hospital. Subjects were 228 adult patients from internal and neurology units in 1st, 2nd, and 3rd class who were hospitalized for six days or more, receiving oral diet, compos mentis, cooperative, non edema, and non ascites. Data of body weight and body height were measured at admission and discharge. Food intake data collected in this study included hospital and non-hospital food. Data analyzed by FP2 programme and STATA software.Results: Among 228 subjects of study, 51,8% had insufficient intake in the first three days of hospitalization. On average, their protein and energy intakes were lower than subjects with sufficient intake. There was a significant correlation between the first three days intake and intake during hospitalization (p<0,05). Subjects with insufficient energy intake were 2,1 times more likely to be malnourished in hospital than subjects with sufficient energy intake. Meanwhile, subjects with insufficient protein intake were 1,56 times more likely to be malnourished than subjects with sufficient protein intake. There was a significant association between energy intake and hospital malnutrition (p<0,05).Conclusions: Patients with insufficient nutrient intakes are more likely to be malnourished than those with sufficient nutrient intakes.
One of the factors that support an athlete's success in a match includes the compatibility of somatotype with the sport. This study aimed to determine the correlation between dietary habits and physical activity with the somatotype of game sports athletes. The design is a cross-sectional study. The study was held from February 2019 until May 2020. Sampling is using comprehensive selection which the samples amounted to 37 athletes. Anthropometric measurements carried out research data collection, interviews using the SQ-FFQ form, and Baecke physical activity scale questionnaire. Data were analyzed by univariate and bivariate. The results showed that most soccer athletes (94.1%) and all takraw athletes (100%) have unsuitable somatotype categories, most soccer athletes (82.4%), and all takraw athletes (100%) have severe physical activity. Most soccer athletes (76.5%) and more than half of takraw athletes (55%) have poor dietary habits. The average somatotype of respondents is ectomorph, with the body's unique characteristics that tend to be thin. When intake is less than intake requirements, strenuous physical activity can cause the body to grow to be light. Respondents are advised to consume information as intake requirements to adjust the training scheme by adding weight training to the forming of athlete's muscle mass and to place nutritionists in PPLP.
Physical fitness is factor to achieve achievement. Based on data of PPLP West Sumatra in 2018 is 30.6% of athletes included in the category less. Some factors that affect fitness are somatotype and nutritional intake. Somatotypes and balanced nutritional intake will support better sports performance This research aims to determine the correlation between somatotype and macronutrient intake with physical fitness.This research was conducted using a cross sectional design. The sampling method using total sampling method with a sample of 37 people. The intake data collection method uses 3x24 hour food recall, the somatotype is determined by the Heart Carter method and the fitness uses a bleep test. The data were analyzed using Chi-square statisticaltests to see the correlation of somatotype with fitness and correlation pearson tests to see the correlation of macro nutrition intake with fitness. The results showed that the average fitness of athletes was 52.12 mL / kg / min. The results showed an average fitness value of 52.12 mL / kg / min and most were fit.. The average value of energy intake is 3471.71 kcal, protein intake of 88.50gr, fat intake is 97.02 gr, carbohydrate intake of 550.1 gr) water intake was 3253.54 ml and most of the intake is good except water. Bivariate results showed that there was no significant relationship between somatotype and fitness but there was a significant relationship between macro nutrient intake and fitness. Further research is needed to find out other factors that affectfitness.Keywords: Fitness; Somatotype; Macronutrient Intake
Disability groups are groups vulnerable to disaster risk. Most families with disabilities feel worried about defending themselves in the event of a disaster. They are less socialized with disaster mitigation efforts. This research has provided an overview of the preparedness of families with disabilities children in increasing disaster resilience. Analytical research was conducted on families with disabilities children in the city of Padang. Data collection tools in this study used a standard questionnaire from LIPI-UNESCO / ISDR. The data were processed by a computer and analyzed using multiple regression statistical tests. The results showed the preparedness of Families With Disabilities Children in the face of disasters; it was seen that the knowledge category was ready (42.2%), the preparedness plan category was not ready (37.8%), the disaster warning category was not ready (46.7%), the resource mobilization category was not ready, ready (82.2%), the tsunami disaster preparedness index value is 57% (ready category). This research recommended local governments must provide special treatment for people with disabilities by increasing training, seminars, and disaster simulations.
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