- Research article
- Open Access
Undernutrition among HIV positive women in Humera hospital, Tigray, Ethiopia, 2013: antiretroviral therapy alone is not enough, cross sectional study
BMC Public Health volume 13, Article number: 943 (2013)
In Ethiopia, undernutrition among women on antiretroviral therapy has been a major challenge to achieve the full impact of intervention. Twenty seven percent and 17% of reproductive age Ethiopian women are chronically malnourished and anemic, respectively. Most studies to examine risk factors have been limited to the general population and ART-naive HIV-positive women, making it difficult to generalize findings to ART-treated HIV-positive women. The objectives of this study were thus to assess nutritional status and associated factors among adult women (≥20 years) on antiretroviral therapy.
From August to September we conducted an Institution based cross-sectional survey among 276 women on antiretroviral therapy in Humera Hospital, Tigray, Ethiopia. Data was collected using structured and standard face to face interview, anthropometric measurements, BD FACS (CD4 count machine) and Sysmex-21 (hemoglobin analyzer). Logistic regression was done using SPSS version 16 to identify factors that are associated with nutritional status.
The prevalence of under nutrition (Body mass index < 18.5 kg/m2) Was 42.3% (95% CI: 37.4% - 47.3%). Severe, moderate and mild under nutrition was detected on 12%, 10% and 20.3% respondents, respectively. The prevalence of wasting (percentage body weight loss >5%) was 75% (95% CI: 70.4% - 79.2%). Severe wasting was accounted for 26.9% of respondents.
In the multivariate analysis, Household food insecurity [AOR = 1.85; 95%CI 1.16, 2.86], inadequate dietary diversity [AOR = 1.19; 95%CI 1.08, 1.75], anemia [AOR = 1.67; 95%CI 1.05, 2.65] and absence of nutritional support [AOR = 0.34 95%CI 0.22, 0.54) were found to be independent predictors of under-nutrition.
HIV/AIDS is associated with an increased burden of undernutrition even among ART treated women in Humera Hospital, Tigray, Ethiopia. In addition to ART among HIV positive women interventions to ameliorate poor nutritional status may be necessary in this and similar settings. Such interventions aimed at improving household food security, dietary diversity, micronutrient supplementation, proper use of therapeutic food, as well as treating oral candidiasis.
The HIV epidemic remains one of the main public health challenges especially in low and middle income countries. At the end of 2010, an estimated 34 million people were living with HIV globally. There were 2.7 million new HIV infections in 2010, including 390 000 among children less than 15 years. The annual number of people dying from AIDS related causes worldwide was 1.8 million in 2010 .
In sub-Saharan African countries, where most of the people newly infected with HIV live, an estimated 1.9 million became infected in 2010. Globally, women constituted half (50% [48–53%]) of the adults (15 years and older) living with HIV in 2010, according to UNAIDS estimates. In sub-Saharan Africa, 1.4 times more adult women than men were living with HIV in 2010. Women comprised 59% [56–63%] of adults living with HIV in sub-Saharan Africa in 2010 as they have for most of the past decade [1, 2].
In Ethiopia, the prevalence of HIV in adults age 15-49 is 1.5 percent. HIV prevalence among women 15-49 ages is 1.9 percent. While for men 15-49, it is 1 percent. HIV prevalence levels in Ethiopia rise with age peaking among women in their late 30s and among men in their early 40s . Antiretroviral therapy coverage in Ethiopia was 50-69% with an estimated 222 723 people receiving ART in December 2010 . The availability of HAART has extended the lives of many people with HIV/AIDS and greatly reduced morbidity and deaths due to AIDS and related complications. However, HAART medications can cause problems that will create troubling symptoms like appetite loss, nausea and vomiting, diarrhea, bone death and destruction, lipodystrophy, liver toxicity, pancreatitis, and insulin resistance and diabetics .
About 47% of the Ethiopian population is estimated to live below the poverty line. Malnutrition is one of the main health problems facing children and women in Ethiopia. The country has the second highest rate of malnutrition in Sub-Saharan Africa. Ethiopia faces the four major forms of malnutrition: Acute and chronic malnutrition, Iron deficiency Anemia, Vitamin A deficiency, and Iodine deficiency Disorders . The Ethiopia demographic health survey 2011 has shown 27% of reproductive age women are chronically malnourished (BMI < 18.5), 6% are overweight or obese and 17% anemic (BMI >25 kg/m2) .
Malnutrition is the outcome of imbalance of nutrient intake with physiological demand for growth, maintenance and reproduction. People living with HIV are at a higher risk of malnutrition as HIV infection reduces food intake, lowering food absorption and increases nutritional needs even during early stages of HIV infection, when no symptoms are apparent. The demand increases significantly during the course of the infection posing additional challenges to people living with HIV and their care providers. Food and nutritional intake can affect adherence to antiretroviral drugs (ARVs) as well as their effectiveness. Food insecurity and inadequate knowledge of good nutrition thus, impede management of the disease, particularly in resource-constrained settings where HIV is prevalent and health care services remain inadequate . Food insecurity is both an outcome of and a contributor to the HIV/AIDS pandemic. Families with a member living with HIV are more apt to be poor and food insecure. Being infected with HIV limits productivity, leading, in turn, to loss of income while increasing health care costs. People living with HIV/AIDS often identify their highest priority need as food, and HIV affects food security .
Malnutrition among women remains a major challenge to achieve the full impact of interventions aimed at improving their quality of life, productivity and survival. Nutrition is an important component of comprehensive care for HIV-infected women and is particularly so in resource-limited settings where malnutrition and food insecurity are endemic. Preexisting malnutrition compromises the immune system. The cellular effects of malnutrition on the immune system are similar to those of HIV . The relationship between HIV/AIDS and malnutrition presents a classic example of the well recognized “viscous cycle” of immune dysfunction, infectious disease, and malnutrition . Nutritional issues are common in HIV disease. At some point, almost everyone living with HIV will face challenges in maintaining good nutrition. Problems are related to HIV infection itself, food security and to the effects of anti-HIV therapy . Certain ARVs affects nutrient utilization by affecting nutrient absorption, metabolism, distribution, or excretion. For example, certain protease inhibitors (PI), such as ritonavir and nelfinavir, can cause changes in the metabolism of lipids (fats), resulting in an elevation in blood cholesterol and triglyceride levels .
Malnutrition contributes to immune system impairment, making the body vulnerable to frequent illness and increasing its energy and nutrient demand, thereby accelerating disease progression. All adult people living with HIV require 10% more energy when asymptomatic and 20–30% more when symptomatic. Children who are experiencing weight loss need between 50% and 100% more energy every day. There is no evidence that people living with HIV/AIDS require more protein and micronutrient than uninfected people. Any micronutrient supplementation should not be more than one RDA unless the client is deficient [11, 12] Additional file 1. Therefore, the study aimed to determine nutritional status and identify factors associated with malnutrition among women on ART at Humera Hospital, Western Tigray, Ethiopia.
Study design, area and study population
This institution based cross-sectional study was conducted on 376 women on ART from August 11 to September 2012 in Humera Hospital ART clinic. It is located in north Ethiopia about 950 km from Addis Ababa. Humera town is growing and has 24,195 populations and with 2.9% HIV prevalence which is higher than the national average. It has one Hospital serving the population of the town and outside.
ART service at Humera hospital had started in 2005 by the government in collaboration of partners and has two clinics: adult, and PMTCT clinic. This Hospital serves people from the zone as well as other neighboring country, north Sudan. In this zone there are two district hospitals, Dansha Hospital and Humera Hospital. In Humera Hospital adult ART clinic, there were about 1455 clients on ART care among whom 850 patients women. This study was included all women on ART excluded pregnant and lactating women for unclear anthropometric cut of values. The Study population consisted of adult (>20 years) women clients following ART in the catchment area.
Sample size calculation
The sample size of the study was calculated using the formula for estimation of single population proportion by the assumption of: p = 37% proportion of Ethiopian women with Undernutrition due to HIV in a study conducted among women of sub-Saharan Africa in 2008. With an assumption of margin of error 0.05 at 95% confidence level and 5% non response rate, the sample size was 376. Sample size for selected potential variables Hg, food security and dietary diversity were calculated and below 376 (Table 1). Sample size reduction formula was not used so as to have sufficient sample.
Study subjects were selected by systematic random sampling technique; taking every other woman until the desired sample size of 376 was reached (interval size, K = N/n = 850/376 = 2).
Economic status was assessed by using a Weighted Wealth Index incorporating household assets ownership, housing characteristics, land ownership, tractor, livestock and electricity. Dichotomous variables were constructed and factor analysis using principle component analysis (PCA) used to reduce 12 items to 5 (loaded as factor 1). Factor loadings were used as item weights, which were totaled to yield the wealth index for each household. The total Weighted Wealth Index score was then equally divided into 5 quintiles designating fifth (highest), fourth, third, second and low (poor economic status) .
A total dietary diversity score was calculated from a recalled list of food items consumed over the previous day . Based on a set list of 9 food items, a score lower than 4 was classified as low dietary diversity [17, 18].
Percentage of body Weight Loss was calculated as: (Usual body weight-current weight)/usual body weight ×100. It was classified in to four normal (<5%), mild (5-10%), moderate (11-20%) and severe (>20%) .
We measured height using seka measuring rod calibrated to 0.5 cm. The weight and height were converted to BMI using SPSS version 16 according to WHO 1992 reference value [20, 21]. The women’s weights were measured using standardized digital seka weight scale calibrated to 0.1 kg .
CD4 was measured with BD FACS machine (US) and categorized according to clinical significance. Hemoglobin was measured with sysmex-21 and categorized in to normal (≥12 g/dl) and anemic (<12 g/dl) based on WHO 1992 reference value for non pregnant and lactating mother.
Two medical doctors, two BSc nurses, one medical laboratory technologist and one data clerk were employed and trained for two days on interviewing technique and questionnaire content. They thereafter pre-tested the questionnaire under supervision of the first author. Data were collected by face-to-face interview, laboratory analysis, physical examination and relevant medical data were retrieved from medical files in August 11 and September 2012.
We analyzed data from 276 ART treated HIV positive women. Descriptive analysis was conducted by Chi-square. Both bivariate and multiple logistic regression analyses were used to examine associations of various factors with underweight and wasting. Multiple logistic regression analyses were used to examine the associations of factors with underweight and wasting. In these models, we controlled for womens’ ART duration, diarrhea, tuberculosis, oral candidiasis, CD4 level, Hg level, dietary diversity, nutritional support, eating problem, and food security. Multicollinearity in both models was checked by examining the standard errors for regression coefficients . Statistical significance was set at 95% CI and P-value <0.05. Analysis was conducted using SPSS Inc. version 16.
This study was approved by the Institutional Review Boards of the University of Gondar. Permission to conduct the research was granted by the relevant health departments of Tigray regional health bureau and by the chief executive officer in the Hospital. Participation was voluntary, confidentiality ensured, and informed consent secured before the start of each interview, blood drawing and retrieving medical record.
A total of 376 adult women respondents on ART were included with a response rate of 100%. The mean ages of respondents were 32.5 ± 8 SD years. Two hundred thirty four (62.2%) of respondents were not literate (Table 2).
Medical and related problems of respondents
Most clients, 141 (39.6%) were on ART regimen 1a (D4T-3TC-NVP) followed by 1c (AZT-3TC-NVP), 108 (30.3%). The mean duration of clients on ART was 3.4 ±2SD years (Table 3).
CD4 and Hgb level: the median CD4 and mean Hgb level of respondent were 435 cells/μl and 11.5 g/dl with ±1.5 SD, respectively (Table 4).
Dietary diversity, household food security and nutritional support (plump nut) profile: (Table 5)
Nutritional status of women on ART: the prevalence of overall Undernutrition (BMI <18.5 kg/m2) was 42.3% (95% CI: 37.4% - 47.3%). The mean BMI of the respondents was 19 kg/m2 with SD of ±2.5. Using percentage body weight loss, the prevalence of malnutrition was 75% (95% CI: 70.4% - 79.2%) with mild malnutrition (BWL between 5-10%) 14.6%, moderate (10-20%) 33.5%, and sever (>20%BWL), 26.9%. Ninety four (25%) of women have no malnutrition (BWL < 5%) (Figures 1 and 2).
Multivariate logistic regression analysis was done looking for association of variables with nutritional status (BMI). Nutritional status was significantly associated with household food security, nutritional support (plumpy nut), women dietary diversity and hemoglobin level (Table 6).
On the other hand wealth index, nutritional counseling, duration of ART, regimen type, clinical stage, CD4 level, adherence, eating problem, opportunistic infections and socio-demographic variables were not associated with nutritional status.
Household food security was positively associated with nutritional status. Women who were household food insecure were 1.85 times more likely to be undernourished (BMI < 18.5 kg/m2) as compared to those who were household food secure (AOR = 1.85, 95% CI: 1.16, 2.86). Nutritional care and support were negatively associated with nutritional status (BMI). Participants who were not taking nutritional care and support were 0.34 times less likely to be undernourished than those who were taking nutritional care and support (AOR = 0.34, 95% CI: 0.22, 0.54) (Table 6).
There was a statistically significant positive association between nutritional status (BMI) and women's dietary diversity. Clients who were taking inadequate diversified food were 1.19 times more likely to be undernourished (BMI < 18.5 kg/m2) as compared to those who were taking adequate diversified food (AOR = 1.19, 95% CI: 1.08, 1.75). Hemoglobin level also positively associated with nutritional status of women. Women who were anemic were 1.67 times more likely to be undernourished (BMI < 18.5 kg/m2) than those with normal hemoglobin level (AOR = 1.67, 95% CI: 1.05, 2.65) (Table 6).
In Bivarate logistic regression analysis to see the relationship between nutritional status (%BWL) and covariates, there was a statistically significant association among nutritional support, eating problem, household food security and oral candidiasis.
In multivariate logistic regression household food security and oral candidiasis were statistically significantly associated with nutritional status (%BWL). Respondents with household food insecurity were 1.90 times more likely to have significant weight loss as compared to those who were household food secure (AOR = 1.90, 95% CI: 1.11, 3.25). Respondents who were infected with oral candidiasis were 2.42 times more likely to be wasted than who were free of oral candidiasis (AOR = 2.42, 95% CI: 1.03, 5.25) (Table 7).
The study aimed to determine nutritional status and identify factors associated with malnutrition among women on ART at Humera Hospital, Western Tigray.
Results showed that women on antiretroviral therapy suffer from undernutrition (BMI < 18.5 kg/m2) and wasting (%BWL > 5%). It is not always possible to identify one single cause as the main contributor to declining nutritional status or malnutrition in HIV infected patients. The etiology of HIV-associated wasting is multifactoral, and causes may include socioeconomic status, access to care, cultural practices, psychological factors, and medical complications and therapies for HIV infection . Despite tremendous advances in care for human immunodeficiency virus (HIV) infection and increased funding for treatment, morbidity and mortality due to HIV/AIDS in developing countries remains unacceptably high. A major contributing factor is that >800 million people remain chronically undernourished globally, and the HIV epidemic largely overlaps with populations already experiencing low diet quality and quantity .
The prevalence of overall undernutrition (BMI < 18.5 kg/m2) in this study was 42.3% (95% CI: 37.4% - 47.3%). In this regard earlier studies documented the magnitude of Undernutrition (BMI < 18.5 kg/m2) in Gondar University Hospital in 2007 (27.8%) , St. Peter Hospital in Addis Ababa in 2008 (25%)  and Addis Ababa city in 2009 (18%) . The result of the present study is higher than the results of previous studies. This high rate of Undernutrition in this study could be due to high prevalence of household food insecurity (40.4%) leading to lack of access to adequate, safe and nutritious food resulting to Undernutrition. There were also a large number of subjects (53.2%) taking inadequate dietary diversified food which reflects low micronutrient intake; it may contribute to the pathogenesis of HIV through increasing oxidative stress and compromised immunity and indirectly resulting in Undernutrition. On the other hand, this discrepancy may be due to the present study used women only which can increase the prevalence of undernutrition (BMI < 18.5) since BMI is affected by sex, age and muscle mass . The second possible reason for the high prevalence of Undernutrition in the present study could be due to high sample size compared to AA city (153 subjects) . The third possible reason for low prevalence of Undernutrition in Addis Ababa could be, respondents in Addis Ababa may have a better household food security, dietary diversity, nutritional care and support and overall better ART follow up and monitoring resulting in alleviation of Undernutrition as Addis Ababa is civilized city with good climate and possibly better clinicians compared to present study area which is harsh environment.
A meta-analysis study conducted in 11 sub-Saharan countries reported that the pooling prevalence estimates of HIV-related Undernutrition of 10.3% which is lower than this study . The difference could be due to the meta-analysis study participants were all HIV women clients which includes women not eligible for ART that can undermine the prevalence of Undernutrition since most women who are not eligible to ART are in a good nutritional and immunological status.
Moreover, a similar study conducted in 2010 in Glasgow, United Kingdom among HIV patients on HAART founded prevalence of Undernutrition 29.7% (female, 23.1% and male 6.6%). This difference between the findings on Undernutrition could be due to the high prevalence of Undernutrition among the population in general in Ethiopia compared to the population in the United Kingdom, a developed nation with a better care for HIV clients, possible earlier presentation to clinics and better baseline nutritional status [31, 32].
Based on percentage BWL assessment, the prevalence of all levels of malnutrition was 75% with mild, moderate and severe malnutrition being 14.6%, 33.5%, and 26.9%, respectively. It indicated that HIV contributes to loss of body weight on top of other cause of malnutrition. This result is higher as compared to a study in Gondar University Hospital (75% vs. 60.9%) both in overall and different level of malnutrition .
This may be because of a better management and care of HIV in the University Hospital and due to the study subjects in the present study who were all women; women being more vulnerable to wasting than men due to women have high fat tissues and low amount of lean mass tissue compared to men. This study is demonstrated this concept by revealing high prevalence of wasting among women on ART.
Likewise a study done in Free State Province of South Africa found the prevalence of wasting, defined as a body mass index (BMI) <18.5 kg/m2 in adults with advanced HIV infection in sub-Saharan Africa is 20-40% which is lower than the present study. The difference between the findings is may be due to the deference in method of measuring wasting, the study in South Africa measures wasting with BMI <18.5 kg/m2, this may under estimate the prevalence of wasting as women with normal BMI can be wasted in relative to their usual body weight .
Though ART expected to reverse HIV associated anemia, in this study there were significant number of anemic (66.5%) respondents and anemia was a statistically significantly associated with Undernutrition (AOR = 1. 67, 95% CI: 1.05, 2.65). This result is higher than a study conducted among women of sub-Saharan Africa living with HIV (excluding pregnant and lactating) that is 37% . This may be due to high burden of hemoparasitic infection especially malaria as the study area is endemic for malaria throughout the year, inadequate dietary diversified food, household food insecurity, intestinal parasitosis and drug side effect which all lead to anemia.
The results of this study suggested that household food insecurity and women dietary diversity were significantly associated with Undernutrition (BMI < 18.5) among women on ART independent of nutritional support, anemia, duration of ART, CD4 level, TB and other factors (AOR = 1.85, 95% CI: 1.98, 2.86 and AOR = 1.19, (95% CI: 1.08, 1.75), respectively. These results were consistent with an earlier similar study conducted in Uganda in 2012 among PLWHA on ART that those who were food insecure were more likely to be undernourished with AOR = 1.92 . However, a study conducted in Rwanda among HIV positive and HIV negative women founded Undernutrition was not associated with food insufficiency or dietary diversity .
This contradiction could be due to the difference in assessment tool; the study conducted in Rwanda was used a single question to assess food insufficiency which is not appropriate to assess food insufficiency as food insufficiency (food insecurity) has standard multiple questions and women dietary diversity questionnaire is better than household dietary diversity to assess dietary diversity among women [19–35].
Other important finding of this study, which has implication for practical programming, is the negative relationship of nutritional support (plupy nut) and Undernutrition. A prospective cohort study in Haiti done in 2010 demonstrated that food assistance among PLWHA on ART at a base line of BMI = 20.4 kg/m2 significantly improved their BMI in 12 months support . This disagreement between the findings, it can confidently be said that households with food insecurity was probably shared nutritional support (plupy nut) among household members or sold to get money. This finding is not surprising as many studies in Uganda and elsewhere shows that households of women living with HIV/AIDS have a higher risk of household food insecurity .
In the present study, wasting was statistically significant with household food security and oral candidiasis. This result agreed with a study done in Malawi in 2010 .
The pathophysiological mechanisms underlying with HIV wasting syndrome are related to four major factors including inadequate nutrient intake, nutrient malabsorption, disturbances in metabolism and catabolic state induced by opportunistic infections .
Results may not represent the situation of the whole year, for undernutrition (18.5 kg/m2) is affected seasonally in Ethiopia. As the calculation of BWL, assessment of household food security and dietary diversity depends on memory, there may be a possibility of recall bias.
The prevalence of Undernutrition (BMI < 18.5 kg/m2), anemia, wasting (%BWL > 5%) and household food insecurity are very high among women on ART despite of HAART in this area. Weight loss is a major problem among women on ART.
Clients with household food insecurity, inadequate diversified diet, anemia and nutritional support (plumpy nut) are more likely to be undernourished. Participants with household food insecurity and chronic oral candidiasis are more likely to be wasted.
Attention needs to be given to improve household food security of women living with HIV/AIDS in addition to ART, OIs treatment and supplementation of RUTF. Attention needs to be given to micronutrient supplementation as well.
Consistent and proper nutritional assessment and diagnosis and treatment of anemia should be a vital part of HIV management and a prerequisite to the planning of general nutritional care and support for women on ART.
Women on ART need to be organized and create self reliance on food in order to improve their household food security and feed themselves and their household members.
The effect of food by prescription on ameliorating Undernutrition, improving treatment response and quality of life which is not included in this study needs prospective Cohort study. Randomized controlled experimental study design is needed to know the effect of nutritional support (plumpy nut) on nutritional status of women on ART independent of food security status.
WHO, UNAID, unicef: Global HIV/AIDS response:epidemic update and health sector progress towards universal access. 2011, Switzerland: Villars-sous-Yens, progress report 2011
WHO: World health statistics report Media center. 2011, Geneva
Central Statistical Agency: Ethiopian Demographic and health survey. 2011, ORC Macro Calverton, Maryland, USA
CATIE: A practical guide to HIV drug side effects for people living with HIV. 2002, Canada’s source for HIV and hepatitis C information, Canada, 1
FMoH: Program implementation manual of national nutrition program (NNP) – july 2008 –june 2013. 2013, Addis Ababa: Ethiopian Health and Nutrition Research Institute, 1-2.
WHO: Nutritional care and support for people living with HIV/AIDS a training course. 2009, Marketing and Dissemination, World Health Organization, 20 Avenue Appi.Switzerland, 1-12.
World Bank: A synthesis of international guidance. HIV/AIDS, nutrition, and food security: what we can do. 2007, Washington DC: the International Bank for Reconstruction and development, 40-
Beisel WR: Nutrition and immune function: overview. J Nutr Biochem. 1996, 126: 611S-2615S.
Piwoz EG, Elizabeth AP: HIV/AIDS and nutrition: a review of the literature and recommendations for nutritional care and support in Sub-Saharan Africa. 2000, UK: ENN, 1-
CATIE: A practical guide to nutrition for people living with HIV. 2007, Canada: Pfizer Canada Inc, 1-
Tony C, Eleonore S-F, Bruce C: Technical report no 7. Food and nutrition implications of antiretroviral therapy in resource limited settings. 2004, Durban, South Africa, Revised on 2004
FDRE MoH: Revised on 2008:3-6, monitoring the impact of food based approaches. National guide line for HIV/AIDS and nutrition. 2010, Addis Ababa: Ministry of health, 1-11.
Rutstein Shea O, Kiersten J: DHS comparative reports No. 6. The DHS wealth index. 2004, Calverton, Maryland: ORC Macro
Kenneth C, Maes KC, Craig H, Fikru T, Selamawit S, Yihenew A: Food insecurity among volunteer AIDS caregivers in Addis Ababa, Ethiopia was highly prevalent but buffered from the 2008 food crisis. J Nutr. 2009, 139: 1758-1764. 10.3945/jn.109.108548.
USAID: Household food insecurity access scale (HFIAS) for measurement of food access: indicator guide VERSION 3. 2007, Washington, D.C: Academy for Educational Development
Kennedy GL: Evaluation of dietary diversity scores for assessment of micronutrient intake and food security in developing countries. 2009, Wageningen: Wageningen University
Gina K, Maylis R, Terri B, MarieClaude D: Measurement of dietary diversity for monitoring the impact of food based approaches. 2010, Rome Italy: International Symposium on Food and Nutrition Security, 1-11.
FAO-FANTA: Guidelines for measuring household and individual dietary diversity. 2011, FAO Nutrition and Consumer Protection Division, Rome, Italy, 1-56.
Belaynew W, Yigzaw K, Anwar Y: Nutritional status of adults living with HIV/AIDS at the university of Gondar referal hospital northwest Ethiopia. Ethiop J Health Biomed Sci. 2010, 3 (1): 3-14.
FAO: Nutrition care and support for PLWHA a training course for use in Ethiopia. 2010, AIDS resource center Addis Ababa
Body mass index: considerations for practitioners. [Cited on november 15-2012]. Available from: http://www.cdc.gov/obesity/downloads/BMIforPactitioners.pdf
CDC: National health and nutrition examination survey: anthropometry procedures manual. 2007, [may 20-2012]; Available from: http://www.cdc.gov/nchs/data/ad/ad361.pdf
IBM: METHOD subcommand (LOGISTIC REGRESSION command). [cited 2012 December 4]; Available from http://publib.boulder.ibm.com/infocenter/spssstat/v20r0m0/index.jsp?topic=%2Fcom.ibm.spss.statistics.help%2Fsyn_logistic_regression_method.htm
Cervero M, Alcázar V, Sanz R, García-La C, Agud JL: Nutritional status in HIV-infected patients using Changi’s mini nutritional assessment. J Inter AIDS Soc. 2010, 13 (Suppl 4): 76-10.1186/1758-2652-13-S4-P76.
Nancy C-C, Mollie PR, Lynn E, Maryam H, Marconi V, Anuradha G, et al: Increasing rates of obesity among HIV-infected persons during the HIV epidemic. Plos one. 2010, 5 (4): 2-6.
Souza DT, Rondó PH, Reis LC: The nutritional status of children and adolescents with HIV/AIDS on antiretroviral therapy. J Trop Pediatr. 2011, 57 (1): 65-68. 10.1093/tropej/fmq035.
Olalekan AU: Prevalence and pattern of HIV-related malnutrition among women in sub-Saharan Africa: a meta-analysis of demographic health surveys. BMC Public Health. 2008, 8: 226-10.1186/1471-2458-8-226.
Mark M, MacDonald N, Joep J: Supplementary feeding in the care of the wasted HIV infected patient. Malawi Med J. 2010, 22 (2): 46-49.
Ethiopian Federal HAPCO: Terms of reference for the HIV/AIDS and food consumption. 2008, Ministry of health, Addis Ababa
Fufa H, Umeta M, Taffesse S, Mokhtar N, Aguenaou H: Nutritional and immunological status and their associations among HIV-infected adults in Addis Ababa, Ethiopia. Food Nutr Bull. 2009, 30 (3): 227-232.
Mangili A, Murman DH, Zampini AM, Wanke CA: Nutrition and HIV infection: review of weight loss and wasting in the era of highly active antiretroviral therapy from the nutrition for healthy living cohort. Clin Infect Dis. 2006, 42 (6): 836-842. 10.1086/500398.
Mulligan K, Schambelan M: HIV associated wasting. 2003, Available from: http://www.hivinsite.com/
Louise CI, Yuchiao C, Gregory Jerome J, Kenneth AF: Food assistance is associated with improved body mass index, food security and attendance at clinic in an HIV program in central Haiti: a prospective observational cohort study. AIDS Res Ther. 2010, 7 (33): 1-8.
Louise CI, Kimberly AC, Kenneth AF, Steven B, Jennifer C, Patrick W: HIV/AIDS, undernutrition, and food insecurity. Clin Infect Dis. 2009, 49: 96-102. 10.1086/644501.
ICAAC: Proceedings of 49th on antimicrobial agents and chemotherapy. Nutritional formula reduces CD4 cell decline in HIV positive people not yet taking antiretroviral therapy. 2009, San Francisco, CA, USA: Interscience Conference
Getu D, Fassil T: Biostatistics lecture note for health science students. 2002, Gondar University, Ethiopia, 1
The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2458/13/943/prepub
We acknowledge the study participants and the hospital community for the information provided. The study was funded by Federal Ministry of Health, Ethiopia
We declare that we do not have competing interests.
TH participated in the conception, design of the study and coordinated the data collection. WW analyzed the data; DT drafted the manuscript. HB involved in the conception, design of the study, field work and review of the manuscript. All authors read and approved the final manuscript.
Tsegazeab Hailu Hadgu, Walelegn Worku, Desalegn Tetemke and Hailemariam Berhe contributed equally to this work.
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Hadgu, T.H., Worku, W., Tetemke, D. et al. Undernutrition among HIV positive women in Humera hospital, Tigray, Ethiopia, 2013: antiretroviral therapy alone is not enough, cross sectional study. BMC Public Health 13, 943 (2013). https://doi.org/10.1186/1471-2458-13-943
- Food security
- Dietary diversity
- Antiretroviral therapy