686 resultados para bmi


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This paper analyzes poverty-affected females in the Amhara region of Ethiopia. As the measurement of poverty, the paper uses body mass index (BMI) because it is one of the effective tools for measuring individual poverty level. The results of the BMI analysis show that the most poverty-affected female group is the female household heads in urban areas. The results, however, should be treated carefully considering the different social and economic structure of urban and rural areas, and the interdependent relationship between these two areas. In rural areas, access to land is the biggest issue affecting the BMI, while in urban areas, the occupation of husbands or partners is more important. These differences by area do not mean that there is no intersection between the urban and rural female groups because the majority of females in urban areas migrated from rural areas to urban areas due to various reasons such as divorce, marriage, and job opportunities.

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Introduction: Physical activity is related to health and lifestyle and should be part of the daily routine of all individuals since it brings many benefits to the body. Ains: To study the adolescent population‘s body mass index (BMI). To study the relation between physical activity and gender. Materials and Methods: We performed a quantitative, observational, analytic and cross-sectional study. After the use of exclusion criteria, a sample of 36 individuals was selected from a population of diabetic adolescents. A validated questionnaire was applied to collected physical activity and personal data. SPSS 22.0 was used to treat the data. The chi-square test was applied to study the relation between the level of physical activity and gender; Fisher’s exact test was applied to study the relation between level of physical activity and BMI. Results and discussion: The chi-square test showed a significant relation between the level of physical activity and gender (p-value = 0.018) with moderate intensity (phi = .4), which corroborates other national and worldwide studies. Fisher’s exact test showed no relation between BMI and the level of physical activity (p-value=0,646). Conclusion: 86,1% of the sampled diabetic adolescents are eutrophic, and 66,7% are considered insufficient active. A significant relation was found between gender and the level of physical activity. No relation was found between BMI and level of physical activity.

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Propofol infusion syndrome (PRIS) is a rare but often fatal complication as a result of large doses of propofol infusion (4–5 mg/kg/hr) for a prolonged period (>48 h). It has been reported in both children and adults. Besides large doses of propofol infusion, the risk factors include young age, acute neurological injury, low carbohydrate and high fat intake, exogenous administration of corticosteroid and catecholamine, critical illness, and inborn errors of mitochondrial fatty acid oxidation. PRIS manifestation include presence of metabolic acidosis with a base deficit of more than 10 mmol/l at least on one occasion, rhabdomyolysis or myoglobinuria, acute renal failure, sudden onset of bradycardia resistant to treatment, myocardial failure, and lipemic plasma. The pathophysiology of PRIS may be either direct mitochondrial respiratory chain inhibition or impaired mitochondrial fatty acid metabolism mediated by propofol. We report a case of supermorbidly obese patient who received propofol infusion by total body weight instead of actual body weight and developed PRIS.

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Background: Body mass index ( BMI) is used to diagnose obesity. However, its ability to predict the percentage fat mass (% FM) reliably is doubtful. Therefore validity of BMI as a diagnostic tool of obesity is questioned. Aim: This study is focused on determining the ability of BMI- based cut- off values in diagnosing obesity among Australian children of white Caucasian and Sri Lankan origin. Subjects and methods: Height and weight was measured and BMI ( W/H-2) calculated. Total body water was determined by deuterium dilution technique and fat free mass and hence fat mass derived using age- and gender- specific constants. A % FM of 30% for girls and 20% for boys was considered as the criterion cut- off level for obesity. BMI- based obesity cut- offs described by the International Obesity Task Force ( IOTF), CDC/ NCHS centile charts and BMI- Z were validated against the criterion method. Results: There were 96 white Caucasian and 42 Sri Lankan children. Of the white Caucasians, 19 ( 36%) girls and 29 ( 66%) boys, and of the Sri Lankans 7 ( 46%) girls and 16 ( 63%) boys, were obese based on % FM. The FM and BMI were closely associated in both Caucasians ( r = 0.81, P < 0.001) and Sri Lankans ( r = 0.92, P< 0.001). Percentage FM and BMI also had a lower but significant association. Obesity cut- off values recommended by IOTF failed to detect a single case of obesity in either group. However, NCHS and BMI- Z cut- offs detected cases of obesity with low sensitivity. Conclusions: BMI is a poor indicator of percentage fat and the commonly used cut- off values were not sensitive enough to detect cases of childhood obesity in this study. In order to improve the diagnosis of obesity, either BMI cut- off values should be revised to increase the sensitivity or the possibility of using other indirect methods of estimating the % FM should be explored.