The impact of a food assistance program on nutritional status, disease progression, and food security among people living with HIV in Uganda

Journal of Acquired Immune Deficiency Syndromes

Volumn 66, Issue 1, 2014, Pages

  Rawat, Rahul ^a   Faust, Elizabeth ^b   Maluccio, John A ^b   Kadiyala, Suneetha ^c,d  

^a INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE   (United States)

^b MIDDLEBURY COLLEGE   (United States)

^c LONDON SCHOOL OF HYGIENE AND TROPICAL MEDICINE   (United Kingdom)

^d Leverhulme Centre for Integrative Research in Agriculture and Health   (United Kingdom)

Author keywords

food assistance; food security; HIV infection; nutrition; Uganda

Indexed keywords

ANTI HUMAN IMMUNODEFICIENCY VIRUS AGENT; HEMOGLOBIN;

ADULT; ARM CIRCUMFERENCE; ARTICLE; BODY MASS; CD4 LYMPHOCYTE COUNT; CONTROLLED STUDY; DISEASE COURSE; DISEASE SEVERITY; FEMALE; FOLLOW UP; FOOD ASSISTANCE; FOOD INSECURITY; FOOD SECURITY; HEALTH IMPACT ASSESSMENT; HEALTH SURVEY; HOUSEHOLD; HOUSEHOLD FOOD INSECURITY ACCESS SCALE; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; INDIVIDUAL DIETARY DIVERSITY SCORE; INTERVENTION STUDY; LONGITUDINAL STUDY; MAJOR CLINICAL STUDY; MALE; NUTRITIONAL PARAMETERS; NUTRITIONAL STATUS; PRIORITY JOURNAL; PROSPECTIVE STUDY; QUASI EXPERIMENTAL STUDY; RATING SCALE; SCORING SYSTEM; UGANDA;

ADULT; DISEASE PROGRESSION; FEMALE; FOOD ASSISTANCE; FOOD SUPPLY; HIV INFECTIONS; HUMANS; LONGITUDINAL STUDIES; MALE; MIDDLE AGED; NUTRITIONAL STATUS; UGANDA;

EID: 84898541010     PISSN: 15254135     EISSN: 10779450     Source Type: Journal    
DOI: 10.1097/QAI.0000000000000079     Document Type: Article

References (47)

1. World Health Organization. HIV/AIDS Fact Sheet. Geneva, Switzerland: World Health Organization; 2012.
2. Joint United Nations Programme on HIV/AIDS (UNAIDS). UNAIDS World AIDS Day 2012 Global Fact Sheet. Geneva, Switzerland: Joint United Nations Programme on HIV/AIDS; 2012.
3. Gillespie S, Kadiyala S. HIV/AIDS and Food and Nutrition Security: From Evidence to Action. Washington DC, WA: International Food Policy Research Institute; 2005.
4. Food and Agriculture Organization. HIV/AIDS, Food Security and Rural Livelihoods. Geneva, Switzerland: Food and Agriculture Organization; 2002.
5. Barnett T, Whiteside A. AIDS in the Twenty-first Century: Disease and Globalization. New York, NY: Palgrave Macmillan; 2008:485-487.
6. Joint United Nations Programme on HIV/AIDS (UNAIDS). HIV, Food Security and Nutrition Policy Brief. Geneva, Switzerland: UNAIDS; 2008.
7. Chapoto A, Jayne TS. Socioeconomic characteristics of individuals afflicted by AIDS related prime age mortality in Zambia. In: Gillespie S, ed. AIDS, Poverty, and Hunger: Challenges and Responses. Washington DC, WA: International Food Policy Research Institute; 2006:33-55.
8. Tang AM. Weight loss, wasting, and survival in HIV-positive patients: current strategies. AIDS Read. 2003;13:S23-S27.
9. van der Sande MAB, van der Loeff MFS, Aveika AA, et al. Body mass index at time of HIV diagnosis - a strong and independent predictor of survival. J Acquir Immune Defic Syndr. 2004;37:1288-1294.
10. Mangili A, Murman DH, Zampini AM, et al. 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;42:836-842.
11. Johannessen A, Naman E, Ngowi BJ, et al. Predictors of mortality in HIV-infected patients starting antiretroviral therapy in a rural hospital in Tanzania. BMC Infect Dis. 2008;8:52.
12. Zachariah R, Fitzgerald M, Massaquoi M, et al. Risk factors for high early mortality in patients on antiretroviral treatment in a rural district of Malawi. AIDS. 2006;20:2355-2360.
13. Kadiyala S, Rawat R. Food access and diet quality independently predict nutritional status among people living with HIV in Uganda. Public Health Nutr. 2013;16:164-170.
14. Palermo T, Rawat R, Sheri D, et al. Food access and diet quality are associated with quality of life outcomes among HIV-infected individuals in Uganda. PLoS One. 2013;8:e62353.
15. Rawat R, McCoy SI, Kadiyala S. Poor diet quality is associated with low CD4 count and anemia and predicts mortality among antiretroviral therapy-naive HIV-positive adults in Uganda. J Acquir Immune Defic Syndr. 2013;62:246-253.
16. Weiser SD, Leiter K, Bangsberg DR, et al. Food insufficiency is associated with high-risk sexual behavior among women in Botswana and Swaziland. PLoS Med. 2007;4:1589-1598.
17. Frega R, Duffy F, Rawat R, et al. Food insecurity in the context of HIV/AIDS: a framework for a new era of programming. Food Nutr Bull. 2010;31:S292-S312.
18. de Pee S, Semba RD. Role of nutrition in HIV infection: review of evidence for more effective programming in resource-limited settings. Food Nutr Bull. 2010;31:S313-S344.
19. Mahlungulu S, Grobler LA, Visser ME, et al. Nutritional interventions for reducing morbidity and mortality in people with HIV. Cochrane Database Syst Rev. 2007;CD004536.
20. Tirivayi N, Groot W. Health and welfare effects of integrating AIDS treatment with food assistance in resource constrained settings: a systematic review of theory and evidence. Soc Sci Med. 2011;73: 685-692.
21. Habicht JP, Victora CG, Vaughan JP. Evaluation designs for adequacy, plausibility and probability of public health programme performance and impact. Int J Epidemiol. 1999;28:10-18.
22. Victora CG, Habicht JP, Bryce J. Evidence-based public health: moving beyond randomized trials. Am J Public Health. 2004;94:400-405.
23. Vinck P. Exposure to war crimes and implications for peace building in northern Uganda. JAMA. 2007;298:543-554.
24. Arimond M, Wiesmann D, Becquey E, et al. Simple food group diversity indicators predict micronutrient adequacy of women's diets in 5 diverse, resource-poor settings. J Nutr. 2010;140:2059S-2069S.
25. Coates J, Swindale A, Bilinsky P. Household Food Insecurity Access Scale (HFIAS) for Measurement of Food Access: Indicator Guide (V3). Washington DC, WA: Food and Nutrition Technical Assistance Project, Academy for Education; 2007.
26. Abadie A, Drukker D, Leber J, et al. Implementing matching estimators for average treatment effects in Stata. Stata J. 2004;4:290-311.
27. Imbens GW, Wooldridge JM. Recent developments in the econometrics of program evaluation. J Econ Lit. 2009;47:5-86.
28. Donegan S, Maluccio JA, Myers C, et al. Two food assisted maternal and child health nutrition programs helped mitigate the impact of economic hardship on child stunting in Haiti. J Nutr. 2010;140:1139-1145.
29. Rawat R, Kadiyala S, McNamara P. The impact of food assistance on weight gain and disease progression among HIV-infected individuals accessing AIDS care and treatment services in Uganda. BMC Public Health. 2010;10:316.
30. Mahal A, Canning D, Odumosu K, et al. Assessing the economic impact of HIV/AIDS on Nigerian households: a propensity schore matching approach. AIDS. 2008;22:s95-s101.
31. Abadie A, Imbens GW. Large sample properties of matching estimators for average treatment effects. Econometrica. 2006;74:235-267.
32. Heckman J, Navarro LS. Using matching, instrumental variables, and control functions to estimate economic choice models. Rev Econ Stat. 2004;86:30-57.
33. Smith J, Todd P. Does matching overcome LaLonde's critique of nonexperimental estimators? J Econom. 2005;125:305-353.
34. Todd P. Evaluating social programs with endogenous program placement and selection of the treated. In: Schultz TP, Strauss J, eds. Handbook of Development Economics. 4th vol. New York, NY: Elsevier; 2008: 3847-3894.
35. Leuven E, Sianesi B. Stata module to perform full Mahalanobis and propensity score matching, common support graphing, and covariate imbalance testing. 2003.
36. Heckman JJ, Ichimura H, Todd P. Matching as an econometric evaluation estimator. Rev Econ Stud. 1997;64:605-654.
37. StataCrop [Computer program]. Texas: Stata Corporation; 2011.
38. Vella S. The history of antiretroviral therapy and of its implementation in resource-limited areas of the world. AIDS. 2012;26:1231-1241.
39. Rosen S, Fox MP, Gill CJ. Patient retention in antiretroviral therapy programs in sub-Saharan Africa: a systematic review. PLoS One. 2007; 4:e298 1691-1700.
40. Cantrell RA, Sinkala M, Megazinni K, et al. A pilot study of food supplementation to improve adherence to antiretroviral therapy among food-insecure adults in Lusaka, Zambia. J Acquir Immune Defic Syndr. 2008;49:190-195.
41. Ivers LC, Chang Y, Gregory JJ, et al. 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.
42. Swaminathan S, Padmapriyadarsini C, Yoojin L, et al. Nutritional supplementation in HIV-infected individuals in South India: a prospective interventional study. Clin Infect Dis. 2010;51:51-57.
43. Ruel MT, Menon P, Loechl C, Pelto G. Donated fortified cereal blends improve the nutrient density of traditional complementary foods in Haiti, but iron and zinc gaps remain for infants. Food Nutr Bull. 2004;25:361-376.
44. National Research Council. Dietary Reference Intakes for Vitamin A, Vitamin K, Arsenic, Boron, Chromium, Copper, Iodine, Iron, Manganese, Molybdenum, Nickel, Silicon, Vanadium, and Zinc. Washington DC, WA: The National Academies Press; 2001.
45. Yager JE, Kadiyala S, Weiser SD. HIV/AIDS, food supplementation and livelihood programs in Uganda: a way forward? PLoS One. 2011;6:e26117.
46. Joint United Nations Programme on HIV/AIDS (UNAIDS). New Reports Show Philanthropic Funding for AIDS Down at Pivotal Moment in the Response. Geneva, Switzerland: UNAIDS; 2011.
47. Amuron B, Namara G, Birungi J, et al. Mortality and loss-to-follow-up during the pre-treatment period in an antiretroviral therapy programme under normal health service conditions in Uganda. BMC Public Health. 2009;9:290.