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Academic literature on the topic 'Undernutrition; Arm muscle area; Arm fat area'
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Journal articles on the topic "Undernutrition; Arm muscle area; Arm fat area"
Debnath, Sampriti, Nitish Mondal, and Jaydip Sen. "Use of upper arm anthropometry, upper arm muscle area-by-height (UAMAH) and midupper- arm-circumference (MUAC)-for-height as indicators of body composition and nutritional status among children." Anthropological Review 80, no. 1 (March 1, 2017): 85–102. http://dx.doi.org/10.1515/anre-2017-0004.
Full textPieterse, Simone, Mary Manandhar, and Suraiya Ismail. "The nutritional status of older Rwandan refugees." Public Health Nutrition 1, no. 4 (December 1998): 259–64. http://dx.doi.org/10.1079/phn19980042.
Full textCorish, Clare A., and Nicholas P. Kennedy. "Anthropometric measurements from a cross-sectional survey of Irish free-living elderly subjects with smoothed centile curves." British Journal of Nutrition 89, no. 1 (January 2003): 137–45. http://dx.doi.org/10.1079/bjn2002748.
Full textPrayGod, George, Nyagosya Range, Daniel Faurholt-Jepsen, Kidola Jeremiah, Maria Faurholt-Jepsen, Martine G. Aabye, Lotte Jensen, et al. "The effect of energy–protein supplementation on weight, body composition and handgrip strength among pulmonary tuberculosis HIV-co-infected patients: randomised controlled trial in Mwanza, Tanzania." British Journal of Nutrition 107, no. 2 (July 6, 2011): 263–71. http://dx.doi.org/10.1017/s0007114511002832.
Full textRah, Jee H., Parul Christian, Abu Ahmed Shamim, Ummeh T. Arju, Alain B. Labrique, and Mahbubur Rashid. "Predictors of stunting and thinness in post-menarcheal adolescent girls in rural Bangladesh." Public Health Nutrition 12, no. 12 (April 6, 2009): 2400–2409. http://dx.doi.org/10.1017/s1368980009005345.
Full textBöhm, D., K. Wünsch, M. Baum, and M. Odaischi. "The Ultrasonic Measurement of Upper Arm Muscle and Fat Area." Transfusion Medicine and Hemotherapy 17, no. 3 (1990): 54–55. http://dx.doi.org/10.1159/000222554.
Full textWoo, Jean, S. C. Ho, S. P. B. Donnan, and R. Swaminathan. "Nutritional status of healthy, active, Chinese elderly." British Journal of Nutrition 60, no. 1 (July 1988): 21–28. http://dx.doi.org/10.1079/bjn19880072.
Full textYavuz, Cansev Meşe, and Başak Koca Özer. "Evaluation of upper arm muscle and fat area of children and adolescents from Ankara, Turkey." Anthropological Review 83, no. 2 (June 1, 2020): 197–208. http://dx.doi.org/10.2478/anre-2020-0014.
Full textAddo, O. Yaw, John H. Himes, and Babette S. Zemel. "Reference ranges for midupper arm circumference, upper arm muscle area, and upper arm fat area in US children and adolescents aged 1–20 y." American Journal of Clinical Nutrition 105, no. 1 (November 2, 2016): 111–20. http://dx.doi.org/10.3945/ajcn.116.142190.
Full textMachado, Thais Costa, Viviane G. Nascimento, Janaína P. C. da Silva, Ciro João Bertoli, and Claudio Leone. "Body composition of preschool children and relation to birth weight." Revista da Associação Médica Brasileira 60, no. 2 (2014): 139–44. http://dx.doi.org/10.1590/1806-9282.60.02.011.
Full textDissertations / Theses on the topic "Undernutrition; Arm muscle area; Arm fat area"
Pieterse, Simone Gerarda Elisabeth Maria. "Nutritional vulnerability of older refugees." Thesis, London School of Hygiene and Tropical Medicine (University of London), 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.312847.
Full textPinto, Ana Catarina Moreira. "Association between anthropometric indicators of nutritional status and length of stay in hospitalized patients." Bachelor's thesis, [s.n.], 2018. http://hdl.handle.net/10284/7361.
Full textBackground: Undernutrition is highly prevalent in hospitalized patients worldwide and this condition has been associated with increased hospital length of stay (LOS). The diagnosis of undernutrition includes anthropometric measurements. The aim of this study was to measure the independent association of the anthropometric and derived indicators triceps skinfold thickness (TST), mid-upper arm circumference (MUAC), adductor pollicis muscle thickness (APMT), mid-upper arm muscle area (AMA) and mid-upper arm muscle circumference (AMC) with LOS, within a varied group of hospitalized patients. Methods: A total of 695 patients were enrolled in a prospective observational study, conducted in a Portuguese university hospital. Participants were dichotomized for the anthropometric and derived indicators TST, MUAC, APMT, AMA and AMC according to the percentiles 5th and 25th described in the literature, except for APMT, for which only the 5th percentile was used. Cox regression analysis was used to estimate adjusted hazard ratios (HR) and corresponding 95% confidence intervals (95% CI). Results: Patients that presented values lower than the 5th percentile for TST (HR=0.759, 95% CI=0.579;0.995), MUAC (HR=0.822, 95% CI=0.687;0.983), APMT (HR=0.791, 95% CI=0.671;0.933), AMA (HR=0.797, 95% CI=0.660;0.962) and AMC (HR=0.746, 95% CI=0.611;0.911), showed a lower probability of being discharged from the hospital to usual residence over time. For TST (HR 0.798, 95% CI=0.673;0.946), patients whose values were below the 25th percentile also presented a lower probability of being discharged from the hospital to usual residence over time. Conclusion: For all the anthropometric and derived indicators studied, patients that presented values lower than the 5th percentile had a lower probability of being discharged from the hospital to usual residence. For TST, values below the 25th percentile were also associated with lower probability of discharge. Thus, TST was found to be the best anthropometric indicator to predict LOS. This anthropometric indicator can present advantages for the diagnosis of undernutrition since it may allow an earlier detection of a poor nutritional status.
Introdução: A desnutrição apresenta elevada prevalência em doentes hospitalizados e esta condição tem vindo a ser associada com maior tempo de internamento (TI). O diagnóstico da desnutrição inclui indicadores antropométricos. O objetivo deste trabalho foi estudar a associação independente entre os indicadores antropométricos prega cutânea tricipital (PCT), perímetro do meio braço (PB), espessura do músculo adutor do polegar (AP), área muscular do braço (AMB) e perímetro muscular do braço (PMB) e o TI em doentes hospitalizados. Métodos: 695 indivíduos participaram num estudo observacional realizado num hospital universitário Português. Os participantes foram dicotomizados para cada indicador antropométrico PCT, PB, AP, AMB e PMB de acordo com os percentis 5 e 25 descritos na literatura, exceto para o AP, para o qual apenas o percentil 5 foi utilizado. Utilizaram--se modelos de regressão de Cox para calcular os hazard ratios (HR) e os intervalos de confiança a 95% (IC 95%) correspondentes. Resultados: Os participantes que apresentaram valores abaixo do percentil 5 para PCT (HR=0,759; IC 95%=0,579;0,995), PB (HR=0,822; IC 95%=0,687;0,983), AP (HR=0,791; IC 95%=0,671;0,933), AMB (HR=0,797; IC 95%=0,660;0,962) e PMB (HR=0,746; IC 95%=0,611;0,911), revelaram uma menor probabilidade de alta para o domicílio. Para a PCT (HR=0,798; IC 95%=0,673;0,946), apresentar valores abaixo do percentil 25 também se associou a uma menor probabilidade de alta para o domicílio. Conclusão: Os participantes que apresentaram valores abaixo do percentil 5 para todos os indicadores antropométricos mostraram uma menor probabilidade de alta domiciliar. Para a PCT, o percentil 25 também foi associado com uma menor probabilidade de alta para o domicílio. A PCT foi então o melhor indicador antropométrico capaz de prever o TI hospitalar. Incluir este indicador antropométrico nos métodos de diagnóstico de desnutrição pode ser uma mais valia por poder detetar mais precocemente um pior estado nutricional.
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