15 research outputs found

    Impact of associated injuries in the Floating knee: A retrospective study

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    <p>Abstract</p> <p>Background</p> <p>Floating knee injuries are usually associated with other significant injuries. Do these injuries have implications on the management of the floating knee and the final outcome of patients? Our study aims to assess the implications of associated injuries in the management and final outcome of floating knee.</p> <p>Methods</p> <p>29 patients with floating knees were assessed in our institution. A retrospective analysis of medical records and radiographs were done and all associated injuries were identified. The impact of associated injuries on delay in initial surgical management, delay in rehabilitation & final outcome of the floating knee were assessed.</p> <p>Results</p> <p>38 associated injuries were noted. 7 were associated with ipsilateral knee injuries. Lower limb injuries were most commonly associated with the floating knee. Patients with some associated injuries had a delay in surgical management and others a delay in post-operative rehabilitation. Knee ligament and vascular injuries were associated with poor outcome.</p> <p>Conclusion</p> <p>The associated injuries were quite frequent with the floating knee. Some of the associated injuries caused a delay in surgical management and post-operative rehabilitation. In assessment of the final outcome, patients with associated knee and vascular injuries had a poor prognosis. Majority of the patients with associated injuries had a good or excellent outcome.</p

    Prediction of body-fat percentage from skinfold and bio-impedance measurements in Indian school children

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    Background/Objectives: Few equations for calculating body-fat percentage (BF%) from field methods have been developed in South-Asian children. The objective of this study was to assess agreement between BF% derived from primary reference methods and that from skinfold equations and bio-impedance analysis (BIA) in Indian children.Subjects/Methods: We measured BF% in two groups of Indian children. In Pune, 570 rural children aged 6–8 years underwent dual-energy X-ray absorptiometry (DXA) scans. In Mysore 18O in doubly labeled water was administered to 59 urban children aged 7–9 years. We conducted BIA at 50?kHz and anthropometry, including sub-scapular and triceps skinfold thicknesses. We used the published equations of Wickramasinghe, Shaikh, Slaughter and Dezenburg to calculate BF% from anthropometric data and the manufacturer's equation for BIA measurements. We assessed agreement with values derived from DXA and doubly labeled water using Bland–Altman analysis.Results: Children were light and thin on average compared with international standards. There was poor agreement between the reference BF% values and those from all equations. Assumptions for Bland–Altman analysis were not met for Wickramasinghe, Shaikh and Slaughter equations. The Dezenberg equations under-predicted BF% for most children (mean difference in Pune ?13.4, LOA ?22.7, ?4.0 and in Mysore ?7.9, LOA (?13.7 and ?2.2). The mean bias for the BIA equation in Pune was +5.0% and in Mysore +1.95%, and the limits of agreement were wide; ?5.0, 15.0 and –7.8, 11.7 respectively.Conclusions: Currently available skinfold equations do not accurately predict BF% in Indian children. We recommend development of BIA equations in this population using a four-compartment model.<br/

    Speaking in Foreign Language Learning in Primary School

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    Background: Our aim was to estimate the prevalence of abnormal glucose regulation (AGR) (i.e. diabetes and prediabetes) and its associated factors among people aged 35-60 years so as to clarify the relevance of targeted screening in rural Africa. Methods: A population-based survey of 1,497 people (786 women and 711 men) aged 35-60 years was conducted in a predominantly rural Demographic Surveillance Site in eastern Uganda. Participants responded to a lifestyle questionnaire, following which their Body Mass Index (BMI) and Blood Pressure (BP) were measured. Fasting plasma glucose (FPG) was measured from capillary blood using On-Call (R) Plus (Acon) rapid glucose meters, following overnight fasting. AGR was defined as FPG &gt;= 6.1 mmol L-1 (World Health Organization (WHO) criteria or &gt;= 5.6mmol L-1 (American Diabetes Association (ADA) criteria. Diabetes was defined as FPG &gt;6.9mmol L-1, or being on diabetes treatment. Results: The mean age of participants was 45 years for men and 44 for women. Prevalence of diabetes was 7.4% (95% CI 6.1-8.8), while prevalence of pre-diabetes was 8.6% (95% CI 7.3-10.2) using WHO criteria and 20.2% (95% CI 17.5-22.9) with ADA criteria. Using WHO cut-offs, the prevalence of AGR was 2 times higher among obese persons compared with normal BMI persons (Adjusted Prevalence Rate Ratio (APRR) 1.9, 95% CI 1.3-2.8). Occupation as a mechanic, achieving the WHO recommended physical activity threshold, and higher dietary diversity were associated with lower likelihood of AGR (APRR 0.6, 95% CI 0.4-0.9; APRR 0.6, 95% CI 0.4-0.8; APRR 0.5, 95% CI 0.3-0.9 respectively). The direct medical cost of detecting one person with AGR was two US dollars with ADA and three point seven dollars with WHO cut-offs. Conclusions: There is a high prevalence of AGR among people aged 35-60 years in this setting. Screening for high risk persons and targeted health education to address obesity, insufficient physical activity and non-diverse diets are necessary

    The IDEFICS validation study on field methods for assessing physical activity and body composition in children design and data collection

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    To describe the design, measurements and fieldwork of the IDEFICS (Identification and prevention of dietary- and lifestyle-induced health effects in children and infants) physical activity and body composition validation study, and to determine the potential and limitations of the data obtained. Multicentre validation study. Subjects: A total of 98 children from four different European countries (age: 4–10 years). An 8-day measurement protocol was carried out in all children using a collaborative protocol. Reference methods were the doubly labelled water method for physical activity, and a three- and a four-compartment model for body composition. Investigated field methods were accelerometers, a physical activity questionnaire and various anthropometric measurements. For the validation of physical activity field methods, it was possible to gather data from 83 to 89 children, laying the basis for age- and sex-specific results. The validation of body composition field methods is possible in 64–80 children and allows sex-specific analyses but has only limited statistical power in the youngest age group. The IDEFICS validation study will allow age- and sex-specific investigation of questions pertaining to the validity of several field methods of body composition and physical activity, using established reference methods in four different European countries. From the participant analyses it can be concluded that the compliance for the investigated field methods was higher than that for the reference methods used in this validation study
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