Literature DB >> 25923888

Discordance between body mass index and anthropometric measurements among HIV-1-infected patients on antiretroviral therapy and with lipoatrophy/lipohypertrophy syndrome.

Lismeia Raimundo Soares1, Daniela Cardeal da Silva1, Claudio R Gonsalez1, Felipe G Batista1, Luiz Augusto M Fonseca2, Alberto J S Duarte1, Jorge Casseb1.   

Abstract

INTRODUCTION: Highly Active Antiretroviral Therapy (HAART) has improved and extended the lives of thousands of people living with HIV/AIDS around the world. However, this treatment can lead to the development of adverse reactions such as lipoatrophy/lipohypertrophy syndrome (LLS) and its associated risks.
OBJECTIVE: This study was designed to assess the prevalence of self-reported lipodystrophy and nutritional status by anthropometric measurements in patients with HIV/AIDS.
METHODS: An observational study of 227 adult patients in the Secondary Immunodeficiencies Outpatient Department of Dermatology, Hospital das Clínicas, Faculty of Medicine, University of São Paulo (3002 ADEE-HCFMUSP). The sample was divided into three groups; Group 1 = 92 patients on HAART and with self-reported lipodystrophy, Group 2 = 70 patients on HAART without self-reported lipodystrophy and Group 3 = 65 patients not taking HAART. The nutritional status of individuals in the study sample was determined by body mass index (BMI) and percentage of body fat (% BF). The cardiovascular risk and diseases associated with abdominal obesity were determined by waist/hip ratio (WHR) and waist circumference (WC).
RESULTS: The prevalence of self-reported lipoatrophy/lipohypertrophy syndrome was 33% among women and 59% among men. Anthropometry showed depletion of fat mass in the evaluation of the triceps (TSF) in the treatment groups with HAART and was statistically independent of gender; for men p = 0.001, and for women p = 0.007. Similar results were found in the measurement of skin folds of the upper and lower body (p = 0.001 and p = 0.003 respectively). In assessing the nutritional status of groups by BMI and % BF, excess weight and body fat were more prevalent among women compared to men (p = 0.726). The WHR and WC revealed risks for cardiovascular and other diseases associated with abdominal obesity for women on HAART and with self-reported LLS (p = 0.005) and (p = 0.011).
CONCLUSIONS: Anthropometric measurements were useful in the confirmation of the prevalence of LLS. BMI alone does not appear to be a good parameter for assessing the nutritional status of HIV-infected patients on HAART and with LLS. Other anthropometric measurements are needed to evaluate patients with the lipoatrophy/lipohypertrophy syndrome.

Entities:  

Mesh:

Substances:

Year:  2015        PMID: 25923888      PMCID: PMC4435007          DOI: 10.1590/S0036-46652015000200002

Source DB:  PubMed          Journal:  Rev Inst Med Trop Sao Paulo        ISSN: 0036-4665            Impact factor:   1.846


INTRODUCTION

The widespread use of Highly Active Antiretroviral Therapy (HAART) has promoted a sustained reduction in both morbidity and mortality associated with HIV-120 , 33. Although the curve of the HIV epidemic has been showing signs of flattening around the world, HIV infection remains almost invariably fatal if the individuals are not treated with HAART6 , 33 , 38. Despite the increases in the availability of HAART, other challenges related to the management of patients with HIV are just beginning to surface. For example, HAART itself can cause a variety of adverse effects such as the lipoatrophy/lipohypertrophy syndrome3 , 4 , 8 , 9. Such an occurrence may contribute to a decrease in adherence to antiretroviral therapy, adding to the difficulties inherent to prolonged treatment with combinations of drugs which characterize HAART14. Moreover, both the changes in the composition and distribution of body fat may negatively affect self-image, thus interfering with treatment adherence and contributing to possible therapeutic failure2 , 9. Although there is no consensus on the prevention or treatment of the lipoatrophy/lipohypertrophy syndrome, the World Health Organization has indicated that nutrition should be a part of all programs for control and treatment of HIV/AIDS, since diet and adequate nutritional status can improve adherence and effectiveness of treating patients on HAART10 , 36. The identification of early morphological changes for these patients through the assessment and diagnosis of their nutritional status can help to establish effective interventions for the treatment of metabolic and morphological reactions14 , 31. Identification and appropriate treatment for these conditions can both improve patients' long-term care and help provide a better outlook for their quality of life2 , 19 , 21. According to the American Dietetic Association, anthropometry has been widely used to assess the health and nutritional status of individuals, communities or populations, not only due to its simplicity and low cost, but also because it can provide an approximation of body composition and distribution of body fat1 , 15 , 18. The aim of this study was to assess the prevalence of self-reported lipoatrophy/lipohypertrophy and nutritional status by anthropometric measurements in patients with HIV/AIDS in a cohort of outpatient HIV-infected persons in São Paulo, Brazil.

MATERIAL AND METHODS

This observational study was based on data collected between September 2006 and July 2008 from a referral center for the treatment of HIV infection in São Paulo, Brazil, in the Secondary Immunodeficiencies Outpatient Department of Dermatology, Hospital das Clínicas, Faculty of Medicine, University of São Paulo (ADEE 3002-HCFMUSP). The study was approved by the Research Ethics Committee of the University of São Paulo Medical School (Research Protocol No. 0221/07). This open cohort consists of 320 HIV-1-positive patients who have been followed since 1989. The sample consisted of 227 subjects (71% of the cohort) divided into three groups: Group 1 = 92 HIV-1-positive patients on HAART and with self-reported lipoatrophy/lipohypertrophy syndrome (LLS); Group 2 = 70 HIV-1-positive patients on HAART without self-reported LLS; Group 3 = 65 HIV-1-positive patients without HAART. The characterization of groups in terms of self-reported lipodystrophy was conducted through a questionnaire to identify socio-demographic, clinical characteristics, as well as a specific question for the patient to determine if he/she had observed bodily changes consistent with LLS after the initiation of HAART. Study inclusion criteria were HIV infection, willingness to sign the consent form and no constraint for the test performance of bioimpedance (BIA). Exclusion criteria were pregnancy, known cardiovascular disease or previous heart surgery and refusal to sign the consent form. All the patients were interviewed by the first Author using an adapted questionnaire to identify morphological body modifications after the initiation of HAART. Anthropometric methods, which included body mass index (BMI), waist/hip ratio (WHR), waist circumference (WC) as well as an estimate of body fat percentage (BF%), were used to evaluate the nutritional status of patients and possible changes in the deposition of fat in specific areas of the body. In addition, bioelectrical impedance (BIA) was also performed8 , 11 , 13. BMI was calculated as the ratio of the current weight (kg) by height (m) squared16 , 17 , 39. BF% was calculated as the sum of skinfolds of upper and lower limbs. The nutritional status was classified according to WHO recommendations for adults37. The assumed value of triceps skinfold (TSF), (mm2), was the average of three measurements and percentages16, by sex and age. The nutritional status classification was determined according to the recommendations of BLACKBURN and THORNTON5. Skinfold measurements were performed on the triceps, biceps, subscapular, abdominal, iliac, thigh and calf. These were obtained with the aid of the caliper Cescorf® (Cescorf, Porto Alegre, Brazil) and rounded to the nearest 0.5 mm and made in duplicate for each type of measurement16. Classification of % BF was based on recommendations made by GALLAGHER et al. by means of prediction equations17. The percentage of body fat (% BF) was determined both as above described and by electrical impedance analysis (BIA) (Systems Inc. 101Q, RJL Systems, Clinton Township, MI). For examination of the BIA, the measurements were made on the right side of the body and patients were asked about restrictions for the performance of these tests12. Measurements were performed according to the instructions in the user manual from CompCorp. The values of resistance and inductance were interpreted by software from Vcorp11. Using the IDF classification, WC cutoffs were used for the diagnosis of metabolic syndrome25 , 26. All measurements were done by one of the Authors (LS). In addition to anthropometric data, socio-demographic characteristics were recorded as categorical and continuous variables: gender, age, education, social interaction, marital status, housing conditions, income and employment status, total duration of HAART, CD4 T-cell count, length of time from the first positive HIV test, the current HIV viral load and the presence of self-reported lipoatrophy/lipohypertrophy. Statistical analyses were performed using the software Minitab® 15m to verify that changes in nutritional status and body fat distribution were related to gender, use of HAART and presence of lipoatrophy/lipohypertrophy30. These were performed by descriptive analysis. To evaluate the association between categorical variables, the chi-square test was used. For the relationship between quantitative and categorical variables with normal distribution, the Student t-test (for two variables) was used. An association was made between variables of the study (anthropometrics and body fat distribution) according to defined groups (G1, G2, G3) and analyzed by ANOVA (used for three variables), with a confidence level of 95% and 5% significance according to the Tukey test for comparison.

RESULTS

The average age of the 227 study subjects was 42.5 years with 75 (33%) being female. Average length of education was 11 years and most subjects shared a residence with three or more persons. The majority of men were single individuals. Over half of the patients own their own homes with proper sanitation and the per capita income was one to five times the minimum wage. There was no statistically significant difference by gender for these variables. Self-reported prevalence of the LLS was 33% among women and 59% among men (Table 1).
Table 1

Socio-demographic characteristics of the 227 HIV-1-infected individuals by gender

VariableMales (152)Females (75) p value
Age (Mean ± SD), years 43 ± 842 ± 9NS
Years of schooling   NS
    Unknown13 (8.55)5 (6.66) 
    None1 (0.65)1 (1.33) 
    ≤ 8 years41 (26.97)22 (29.33) 
    9-11 years62 (40.78)39 (52) 
    >11 years38 (25)7 (9.33) 
Home sharing   NS
    Unknown12 (7.89)5 (6.66) 
    No34 (22.36)4 (5.33) 
    With 2 persons31 (20.39)13 (17.33) 
    With more than 2 persons74 (48.68)52 (69.33) 
Marital status   NS
    No answer15 (9.86)6 (8) 
    Single83 (54.60)20 (26.66) 
    Married24 (15.78)20 (26.66) 
    Divorced9 (5.92)17 (22.66) 
Home ownership   NS
    No answer15 (9.86)8 (10.66) 
    Owner82 (53.94)42 (56) 
    Tenant44 (28.94)20 (26.66) 
    Other11 (7.23)4 (5.33) 
Employment condition   NS
    No answer10 (6.57)6 (8) 
    Employed103 (67.76)42 (56) 
    Unemployed39 (25.65)27 (36) 
Income (minimum wage)   NS
    None10 (6.57)12 (16) 
    < 111 (7.23)13 (17.33) 
    1-597 (63.81)36 (48) 
    6-1016 (10.52)6 (8) 
    > 104 (2.63)- 
    No answer13 (8.55)7 (9.33) 
Self reported body changes 59 (38.81%)33 (44%) 

NS: Not statistically significant when p value > 0.05; Income: 1 minimum wage = ~ U$300.00.

NS: Not statistically significant when p value > 0.05; Income: 1 minimum wage = ~ U$300.00. In Table 2, it is noted that this group had, on average, longer use of HAART, a higher T CD4 cell nadir, and more years of clinical follow-up compared with those without self-reported lipodystrophy and those not taking HAART. Analysis of triceps skinfold (TSF) found a depletion of fat mass in groups undergoing treatment with HAART and this result was statistically significant when compared to the group without HAART (for men p = 0.001, for women p = 0.007). A similar result was determined in the analysis of skin folds of the upper and lower limbs, where groups using HAART had greater loss of fat tissue which was statistically significant compared to Group 3 (p = 0.001) (p = 0.003). In the assessment of nutritional status by BMI, the majority of men were eutrophic. However this result was not statistically significant between groups (p = 0.72). Similarly, measurement of the sum of skinfolds revealed excess body fat tissue in all groups. Men on HAART and with self-reported lipodystrophy were identified by WHR measurements as having statistically significant higher risk for cardiovascular diseases when compared to those without LLS (p = 0.0001). However, when the comparison refers to CA ≥ 90 cm no significant difference was found between men in the three groups.
Table 2

Cardiovascular risk according to sex, anthropometric variables and self-reported groups of lipoatrophy/lipohypertrophy syndrome (LLS)

VariablesMalesFemales
Group 1Group 2Group 3 p valueGroup 1Group 2Group 3 p value
Subjects 595241 331824 
Years under HAART 7 ± 45 ± 4-0.027 ± 44 ± 5 0.01
Nadir TCD4 cells (cels/mm3) 542 (335-732)359 (187-503)431 (287-628)0.01427 (310-607)342 (267-468)474 (396-804)0.04
Median (Q1-Q3)         
Time of HIV infection since diagnosis 9 ± 55 ± 42 ± 30.0019 ± 55 ± 55 ± 60.003
HIV viral load (copies/Ml) 400 (400-1053)400 (400-3309)15000 (1993-65675)0.000436 (400-6178)400 (138-1576)4410 (1632-14350)0.009
TSF    0.001   0.007
    Depletion50 (84.74%)42 (80.76%)20 (48.78%) 26 (78.78%)15 (83.33%)12 (50%) 
    Eutrophic4 (6.77%)6 (11.53%)3 (7.31%) 6 (18.18%)3 (16.66%)4 (16.66%) 
    Excess5 (8.47%)4 (7.69%)17 (41.46%) 1 (3.03%)-8 (33.33%) 
% folds members 32 ± 735 ± 938 ± 70.00139 ± 945 ± 846 ± 70.003
Mean ±SD         
BMI    0.72   0.05
    Depletion- -     
    Eutrophic32 (54.23%)28 (53.84%)20 (48.78%) -1 (5.55%)- 
    Excess27 (45.76%)24 (46.15%)20 (48.78%) 12 (36.36%)13 (72.22%)12 (50%) 
% fat by Durnin    0.03   0.014
    Depletion- 1 (2.43%) - - 
    Eutrophic4 (6.77%)16 (30.76%)6 (11.53%) - 1 (4.16%) 
    Excess53 (89.83%)33 (63.46%)31 (75.60%) 33 (100%)18 (100%)23 (95.83%) 
% fat by BIA    0.13   0.19
    Depletion4 (6.77%)-3 (7.31%) --- 
    Eutrophic22 (37.28%)26 (50%)9 (21.95%) 4 (12.12%)5 (27.77%)2(8.33%) 
    Excess33 (55.93%)25 (48.07%)27 (65.85%)     
Cardiovascular risk assessed by waist/hip ratio    0.001   0.005
    Low and Intermediate27 (45.76%)32 (61.53%)28 (68.29%) 2 (6.06%)4 (22.22%)5 (20.83%) 
    High and very high32 (54.23%)20 (38.46%)12 (29.26%) 31 (93.93%)14 (77.77%)19 (79.16%) 
Cardiovascular risk assessed by waist circumference according to WHO    0.63   0.01
    Low and intermediate52 (88.13%)49 (94.23%)35 (85.36%) 11 (33.33%)11 (61.11)13 (54.16%) 
    High5 (8.47%)3 (5.76%)5 (12.19%) 22 (66.66%)7 (38.88%)5 (20.83%) 
Cardiovascular risk assessed by waist circumference - according to IDF    0.63   0.01
    Men ≥ 90 and women ≥ 8030 (50.84%)24 (46.15%)18 (43.90%) 30 (90.90%)10 (55.55%)19 (79.16%) 

SD = Standard Deviation. Group 1 = Self-reported lipoatrophy/lipohypertrophy and HAART. Group 2 = HAART and no lipoatrophy/lipohypertrophy and Group 3 = Not on HAART.For relationships between categorical and quantitative variables with normal distribution the t student’s test was used (for two variables). The association between the study variables (anthropometry and body fat distribution) was performed according to defined groups (G1, G2 and G3) and analyzed by ANOVA (used for 3 variables), with a confidence level of 95% and significance of 5%, according to the comparison test of Tukey.

SD = Standard Deviation. Group 1 = Self-reported lipoatrophy/lipohypertrophy and HAART. Group 2 = HAART and no lipoatrophy/lipohypertrophy and Group 3 = Not on HAART.For relationships between categorical and quantitative variables with normal distribution the t student’s test was used (for two variables). The association between the study variables (anthropometry and body fat distribution) was performed according to defined groups (G1, G2 and G3) and analyzed by ANOVA (used for 3 variables), with a confidence level of 95% and significance of 5%, according to the comparison test of Tukey. For women under HAART and with lipodystrophy, the measurements for WHR and CA showed a higher risk for cardiovascular diseases (p = 0.005 and p = 0.01, respectively).

DISCUSSION

The strengthening of social support, adherence to treatment and the establishment of life goals are important factors in the quality of life for those living with HIV39. The socio-demographic characteristics of this study reflect the epidemiological trends of HIV in Brazil. With a ratio of two men to one woman, an increasing number of women were observed, mainly due to heterosexual transmission of HIV being observed more recently6. Most patients in this study have, on average, some level of school education, and most are employed with reasonably stable incomes and good social status, unlike other groups of patients with HIV in Brazil who predominantly have a low level of education and poor social conditions. Overall, body changes have been reported in 20-80% of patients on HAART, consisting primarily of Caucasian males, which roughly agrees with the results of this study7 , 22. When subcutaneous fat of the upper and lower limbs was estimated by TSF, a depletion of fat mass was found in groups undergoing treatment by HAART. These results support the hypothesis that morphological changes associated with lipoatrophy of the upper and lower limbs are common among HIV-infected individuals undergoing HAART. There are no standardized criteria for the diagnosis of LLS and such changes are clinically evident approximately six to 24 months after HAART28 , 29 , 33. To identify changes in the distribution of body fat, monitoring of skinfolds has been recommended5 , 23 , 24. According to HEYWARD & STOLARCKZYK, these anthropometric measurements have been used in studies focusing on HIV/AIDS in developed countries, yet currently there is little published data using the sum of skinfolds for the distribution of fat per body segment in adults with HIV infection10 , 26 , 33. A study by SANCHES36 also found that 57% of their sample showed accumulation of abdominal fat, 55% had decreased peripheral fat with loss of subcutaneous tissue in the arms, legs and buttocks, and 33% stated that if they knew their physical appearance would acquire such a form, they would have opted not to begin treatment despite being aware of the risks to their health. The cardiovascular risk associated with obesity has been defined by observational evidence, especially in cohort and case-control studies such as the Nurses' Health Study, which showed a relative risk of death of 1.6 to 2.2 associated with a BMI between 27 and 32, compared to the group with BMI < 19. The NHANES Study - National Health and Nutrition Examination Survey- reported a 1.5 relative risk for CVD later in life for women with BMI > 29, compared to a reference population with BMI < 2140. Although BMI is employed in most population studies because of ease of use, it does not provide enough data to accurately assess body composition. Thus, there is an increased interest in measurements that best describe the amount of body fat and its relationship with obesity. BMI in itself provides only an incomplete picture of cardiovascular risk since it does not identify individuals with abdominal obesity18 , 32 , 34. This study found a high prevalence of increased body fat (BF) and of individuals described as overweight when assessed by BMI and by their percentage of BF, particularly women undergoing HAART and with self-reported lipodystrophy. Additionally for this group, high values of WHR and of Abdominal Circumference point to a high cardiovascular risk. Among 223 HIV-infected individuals aged 20-59 from the city of São Paulo, the prevalence of central obesity was 45.7%, with women having a higher prevalence of abdominal obesity and overweight status when compared to men, coinciding with the results of this study7 , 27. The author also cites previous studies with patients treated using protease inhibitors showing that the accumulation of fat is often higher among women12 , 15. Also, the development of male body patterns has been reported in most women with LLS15 , 20. Such results agree with the findings of the present research. Despite the limitations of this study, such as sample size, study design and cohort effect, the results indicate that other anthropometric measurements in addition to BMI are important for assessing the nutritional status of patients with LLS undergoing HAART. Insights regarding the relative value of using multiple measurements to assess the nutritional status of HIV-infected individuals were obtained. Thus, the analysis of skinfold thickness, which should be a practice adopted by all multidisciplinary teams, can help identify individuals at high risk for lipoatrophy/lipohypertrophy syndrome and for concurrent metabolic alterations. - Anthropometric assessment through skinfold measurements proved to be a good method for determining loss of fatty tissue in the upper and lower limbs, regardless of gender, in HIV-infected patients undergoing HAART. - The BMI alone does not seem to be an adequate parameter for assessing the nutritional status of HIV-infected patients undergoing HAART and the lipoatrophy/lipohypertrophy syndrome. Other anthropometric measurements are needed to evaluate patients with the syndrome. - There was a strong association between self-reported lipoatrophy/lipohypertrophy syndrome, HAART, body composition, and cardiovascular disease risk associated with abdominal obesity. - These studies have identified the need to perform a variety of measurements to assess the nutritional status of persons living with HIV/AIDS in clinical practice.
  25 in total

Review 1.  Cardiovascular risk and body-fat abnormalities in HIV-infected adults.

Authors:  Steven Grinspoon; Andrew Carr
Journal:  N Engl J Med       Date:  2005-01-06       Impact factor: 91.245

2.  HIV-associated lipodystrophy syndrome: A review of clinical aspects.

Authors:  Jean-Guy Baril; Patrice Junod; Roger Leblanc; Harold Dion; Rachel Therrien; Franãois Laplante; Julian Falutz; Pierre Côté; Marie-Nicole Hébert; Richard Lalonde; Normand Lapointe; Dominic Lévesque; Lyse Pinault; Danielle Rouleau; Cécile Tremblay; Benoãt Trottier; Sylvie Trottier; Chris Tsoukas; Karl Weiss
Journal:  Can J Infect Dis Med Microbiol       Date:  2005-07       Impact factor: 2.471

3.  Obesity: preventing and managing the global epidemic. Report of a WHO consultation.

Authors: 
Journal:  World Health Organ Tech Rep Ser       Date:  2000

4.  A prospective study of body mass index, weight change, and risk of stroke in women.

Authors:  K M Rexrode; C H Hennekens; W C Willett; G A Colditz; M J Stampfer; J W Rich-Edwards; F E Speizer; J E Manson
Journal:  JAMA       Date:  1997-05-21       Impact factor: 56.272

5.  Lipodystrophy defined by a clinical score in HIV-infected men on highly active antiretroviral therapy: correlation between dyslipidaemia and steroid hormone alterations.

Authors:  N Christeff; J C Melchior; P de Truchis; C Perronne; E A Nunez; M L Gougeon
Journal:  AIDS       Date:  1999-11-12       Impact factor: 4.177

6.  Declining morbidity and mortality among patients with advanced human immunodeficiency virus infection. HIV Outpatient Study Investigators.

Authors:  F J Palella; K M Delaney; A C Moorman; M O Loveless; J Fuhrer; G A Satten; D J Aschman; S D Holmberg
Journal:  N Engl J Med       Date:  1998-03-26       Impact factor: 91.245

7.  Percentage body fat ranges associated with metabolic syndrome risk: results based on the third National Health and Nutrition Examination Survey (1988-1994).

Authors:  Shankuan Zhu; ZiMian Wang; Wei Shen; Steven B Heymsfield; Stanley Heshka
Journal:  Am J Clin Nutr       Date:  2003-08       Impact factor: 7.045

8.  Factors affecting bioelectrical impedance measurements in humans.

Authors:  P Deurenberg; J A Weststrate; I Paymans; K van der Kooy
Journal:  Eur J Clin Nutr       Date:  1988-12       Impact factor: 4.016

9.  Severity of lipodystrophy is associated with decreased health-related quality of life.

Authors:  Giovanni Guaraldi; Rita Murri; Gabriella Orlando; Chiara Giovanardi; Nicola Squillace; Marcella Vandelli; Barbara Beghetto; Giulia Nardini; Maria De Paola; Roberto Esposito; Albert W Wu
Journal:  AIDS Patient Care STDS       Date:  2008-07       Impact factor: 5.078

Review 10.  Position of the American Dietetic Association and the Canadian Dietetic Association: nutrition intervention in the care of persons with human immunodeficiency virus infection.

Authors: 
Journal:  J Am Diet Assoc       Date:  1994-09
View more
  7 in total

1.  Dietary Intake and Serum Selenium Levels Influence the Outcome of HTLV-1 Infection.

Authors:  Effat Saghi; Abdolreza Norouzy; Mohsen Nematy; Lida Jarahi; Reza Boostani; Fariba Zemorshidi; Zohreh Vahidi; Houshang Rafatpanah
Journal:  Biol Trace Elem Res       Date:  2020-11-09       Impact factor: 3.738

2.  Sleeve Gastrectomy in Morbidly Obese HIV Patients: Focus on Anti-retroviral Treatment Absorption After Surgery.

Authors:  Chloé Amouyal; Marion Buyse; Lea Lucas-Martini; Déborah Hirt; Laurent Genser; Adriana Torcivia; Jean-Luc Bouillot; Jean-Michel Oppert; Judith Aron-Wisnewsky
Journal:  Obes Surg       Date:  2018-09       Impact factor: 4.129

3.  Comparing the Ability of Anthropometric Indicators in Identifying Metabolic Syndrome in HIV Patients.

Authors:  Rebeca Antunes Beraldo; Gabriela Cristina Meliscki; Bruna Ramos Silva; Anderson Marliere Navarro; Valdes Roberto Bollela; André Schmidt; Maria Cristina Foss-Freitas
Journal:  PLoS One       Date:  2016-02-26       Impact factor: 3.240

4.  Body Composition and Metabolic Syndrome Components on Lipodystrophy Different Subtypes Associated with HIV.

Authors:  Livia Bertazzo Sacilotto; Paulo Câmara Marques Pereira; João Paulo Vieira Manechini; Sílvia Justina Papini
Journal:  J Nutr Metab       Date:  2017-04-30

5.  Markers of adiposity in HIV/AIDS patients: Agreement between waist circumference, waist-to-hip ratio, waist-to-height ratio and body mass index.

Authors:  Christian Akem Dimala; Roland Cheofor Ngu; Benjamin Momo Kadia; Frank-Leonel Tianyi; Simeon Pierre Choukem
Journal:  PLoS One       Date:  2018-03-22       Impact factor: 3.240

6.  Low bone mineral density among HIV-infected patients in Brazil.

Authors:  Daniela Cardeal da Silva Chaba; Lisméia R Soares; Rosa M R Pereira; George W Rutherford; Tatiane Assone; Liliam Takayama; Luiz A M Fonseca; Alberto J S Duarte; Jorge Casseb
Journal:  Rev Inst Med Trop Sao Paulo       Date:  2017-12-21       Impact factor: 1.846

7.  The Body Fat Percentage Rather Than the BMI Is Associated with the CD4 Count among HIV Positive Japanese Individuals.

Authors:  Kumiko Shoji; Michinori Shirano; Mitsuru Konishi; Yuko Toyoshima; Miyuki Matsumoto; Tetsushi Goto; Yu Kasamatsu; Yuji Ichida; Yasuo Kagawa; Terue Kawabata; Hiromitsu Ogata; Daiki Habu
Journal:  Nutrients       Date:  2022-01-18       Impact factor: 5.717

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.