dc.creatorSantos, André Pereira dos
dc.creatorNavarro, Anderson Marliere
dc.creatorSchwingel, Andiara
dc.creatorAlves, Thiago Cândido
dc.creatorAbdalla, Pedro Pugliesi
dc.creatorVenturini, Ana Claudia Rossini
dc.creatorSantana, Rodrigo de Carvalho
dc.creatorMachado, Dalmo Roberto Lopes
dc.identifierBMC Public Health. 2018 Jun 27;18(1):806
dc.description.abstractAbstract Background Body composition alterations, or lipodystrophy, can lead to serious health problems in people living with HIV/AIDS (PLWHA). The objectives of this study are to predict and validate sex-specific anthropometric predictive models for the diagnosis of lipodystrophy in PLWHA. Methods A cross-sectional design was employed to recruit 106 PLWHA (men = 65 and women = 41) in Brazil during 2013–2014. They were evaluated using dual-energy X-ray absorptiometry, and 19 regions of body perimeters and 6 skinfold thicknesses were taken. Sex-specific predictive models for lipodystrophy diagnosis were developed through stepwise linear regression analysis. Cross-validations using predicted residual error sum of squares was performed to validate each predictive model. Results Results support the use of anthropometry for the diagnosis of lipodystrophy in men and women living with HIV/AIDS. A high power of determination with a small degree of error was observed for lipodystrophy diagnosis for men in model six (r2 = 0.77, SEE = 0.14, r2PRESS = 0.73, SEE PRESS = 0.15), that included ratio of skinfold thickness of subscapular to medial calf, skinfold thickness of thigh, body circumference of waist, formal education years, time of diagnosis to HIV months, and type of combined antiretroviral therapy (cART) (with protease inhibitor “WI/PI = 1” or without protease inhibitor “WO/PI = 0”); and model five for women (r2 = 0.78, SEE = 0.11, r2PRESS = 0.71, SEE PRESS = 0.12), that included skinfold thickness of thigh, skinfold thickness of subscapular, time of exposure to cART months, body circumference of chest, and race (Asian) (“Yes” for Asian race = 1; “No” = 0). Conclusions The proposed anthropometric models advance the field of public health by facilitating early diagnosis and better management of lipodystrophy, a serious adverse health effect experienced by PLWHA.
dc.publisherBioMed Central
dc.relationBMC Public Health
dc.rightsThe Author(s).
dc.subjectBody composition
dc.titleLipodystrophy diagnosis in people living with HIV/AIDS: prediction and validation of sex-specific anthropometric models
dc.typeArtículos de revistas

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