Dietary patterns and health and nutrition outcomes in men living with HIV infection

BACKGROUND: Nutritional status is an important determinant of HIV outcomes. OBJECTIVE: We assessed the association between dietary patterns identified by cluster analysis and change in body mass index (BMI; in kg/m²), CD4 count, and viral load (VL). DESIGN: HIV-positive adult male subjects (n = 348)...

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Published inThe American journal of clinical nutrition Vol. 88; no. 6; pp. 1584 - 1592
Main Authors Hendricks, Kristy M, Mwamburi, D. Mkaya, Newby, PK, Wanke, Christine A
Format Journal Article
LanguageEnglish
Published Bethesda, MD American Society for Clinical Nutrition 01.12.2008
American Society for Nutrition
American Society for Clinical Nutrition, Inc
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Online AccessGet full text
ISSN0002-9165
1938-3207
1938-3207
DOI10.3945/ajcn.2008.26098

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Abstract BACKGROUND: Nutritional status is an important determinant of HIV outcomes. OBJECTIVE: We assessed the association between dietary patterns identified by cluster analysis and change in body mass index (BMI; in kg/m²), CD4 count, and viral load (VL). DESIGN: HIV-positive adult male subjects (n = 348) with a BMI greater-than-or-equal 20.5 were evaluated by biochemical, body composition, and dietary data. Cluster analysis was performed on 41 designated food groups derived from 3-d food records. Dietary clusters were compared for sociodemographic, nutrient intake, and clinical outcomes. Multivariate linear regression assessed associations between dietary clusters and change in BMI, CD4 count, and VL. RESULTS: We observed 3 dietary patterns: juice and soda; fast food and fruit drinks; and fruit, vegetable, and low-fat dairy. Subjects in the fast food and fruit drinks pattern had the lowest fiber intake, highest VL, and lowest CD4 count and had a lower income than did subjects in the other 2 clusters. Subjects in the fruit, vegetable, and low-fat dairy diet pattern had higher intakes of protein, fiber, and micronutrients and the highest BMI and CD4 count. Subjects in the juice and soda pattern had higher energy intakes and lowest BMI. On average, the fast food and fruit drinks cluster and fruit, vegetable, and low-fat dairy cluster gained 0.33 (P = 0.06) and 0.42 (P = 0.02), respectively, more in BMI than the juice and soda cluster across the study interval in a multivariate model. CONCLUSIONS: In a cohort of HIV-positive men, we identified 3 distinct dietary patterns; each pattern was associated with specific nutrition, demographic, and HIV-related variables.
AbstractList BACKGROUND: Nutritional status is an important determinant of HIV outcomes. OBJECTIVE: We assessed the association between dietary patterns identified by cluster analysis and change in body mass index (BMI; in kg/m²), CD4 count, and viral load (VL). DESIGN: HIV-positive adult male subjects (n = 348) with a BMI greater-than-or-equal 20.5 were evaluated by biochemical, body composition, and dietary data. Cluster analysis was performed on 41 designated food groups derived from 3-d food records. Dietary clusters were compared for sociodemographic, nutrient intake, and clinical outcomes. Multivariate linear regression assessed associations between dietary clusters and change in BMI, CD4 count, and VL. RESULTS: We observed 3 dietary patterns: juice and soda; fast food and fruit drinks; and fruit, vegetable, and low-fat dairy. Subjects in the fast food and fruit drinks pattern had the lowest fiber intake, highest VL, and lowest CD4 count and had a lower income than did subjects in the other 2 clusters. Subjects in the fruit, vegetable, and low-fat dairy diet pattern had higher intakes of protein, fiber, and micronutrients and the highest BMI and CD4 count. Subjects in the juice and soda pattern had higher energy intakes and lowest BMI. On average, the fast food and fruit drinks cluster and fruit, vegetable, and low-fat dairy cluster gained 0.33 (P = 0.06) and 0.42 (P = 0.02), respectively, more in BMI than the juice and soda cluster across the study interval in a multivariate model. CONCLUSIONS: In a cohort of HIV-positive men, we identified 3 distinct dietary patterns; each pattern was associated with specific nutrition, demographic, and HIV-related variables.
Nutritional status is an important determinant of HIV outcomes.BACKGROUNDNutritional status is an important determinant of HIV outcomes.We assessed the association between dietary patterns identified by cluster analysis and change in body mass index (BMI; in kg/m(2)), CD4 count, and viral load (VL).OBJECTIVEWe assessed the association between dietary patterns identified by cluster analysis and change in body mass index (BMI; in kg/m(2)), CD4 count, and viral load (VL).HIV-positive adult male subjects (n = 348) with a BMI >or= 20.5 were evaluated by biochemical, body composition, and dietary data. Cluster analysis was performed on 41 designated food groups derived from 3-d food records. Dietary clusters were compared for sociodemographic, nutrient intake, and clinical outcomes. Multivariate linear regression assessed associations between dietary clusters and change in BMI, CD4 count, and VL.DESIGNHIV-positive adult male subjects (n = 348) with a BMI >or= 20.5 were evaluated by biochemical, body composition, and dietary data. Cluster analysis was performed on 41 designated food groups derived from 3-d food records. Dietary clusters were compared for sociodemographic, nutrient intake, and clinical outcomes. Multivariate linear regression assessed associations between dietary clusters and change in BMI, CD4 count, and VL.We observed 3 dietary patterns: juice and soda; fast food and fruit drinks; and fruit, vegetable, and low-fat dairy. Subjects in the fast food and fruit drinks pattern had the lowest fiber intake, highest VL, and lowest CD4 count and had a lower income than did subjects in the other 2 clusters. Subjects in the fruit, vegetable, and low-fat dairy diet pattern had higher intakes of protein, fiber, and micronutrients and the highest BMI and CD4 count. Subjects in the juice and soda pattern had higher energy intakes and lowest BMI. On average, the fast food and fruit drinks cluster and fruit, vegetable, and low-fat dairy cluster gained 0.33 (P = 0.06) and 0.42 (P = 0.02), respectively, more in BMI than the juice and soda cluster across the study interval in a multivariate model.RESULTSWe observed 3 dietary patterns: juice and soda; fast food and fruit drinks; and fruit, vegetable, and low-fat dairy. Subjects in the fast food and fruit drinks pattern had the lowest fiber intake, highest VL, and lowest CD4 count and had a lower income than did subjects in the other 2 clusters. Subjects in the fruit, vegetable, and low-fat dairy diet pattern had higher intakes of protein, fiber, and micronutrients and the highest BMI and CD4 count. Subjects in the juice and soda pattern had higher energy intakes and lowest BMI. On average, the fast food and fruit drinks cluster and fruit, vegetable, and low-fat dairy cluster gained 0.33 (P = 0.06) and 0.42 (P = 0.02), respectively, more in BMI than the juice and soda cluster across the study interval in a multivariate model.In a cohort of HIV-positive men, we identified 3 distinct dietary patterns; each pattern was associated with specific nutrition, demographic, and HIV-related variables.CONCLUSIONSIn a cohort of HIV-positive men, we identified 3 distinct dietary patterns; each pattern was associated with specific nutrition, demographic, and HIV-related variables.
Nutritional status is an important determinant of HIV outcomes. We assessed the association between dietary patterns identified by cluster analysis and change in body mass index (BMI; in kg/m(2)), CD4 count, and viral load (VL). HIV-positive adult male subjects (n = 348) with a BMI >or= 20.5 were evaluated by biochemical, body composition, and dietary data. Cluster analysis was performed on 41 designated food groups derived from 3-d food records. Dietary clusters were compared for sociodemographic, nutrient intake, and clinical outcomes. Multivariate linear regression assessed associations between dietary clusters and change in BMI, CD4 count, and VL. We observed 3 dietary patterns: juice and soda; fast food and fruit drinks; and fruit, vegetable, and low-fat dairy. Subjects in the fast food and fruit drinks pattern had the lowest fiber intake, highest VL, and lowest CD4 count and had a lower income than did subjects in the other 2 clusters. Subjects in the fruit, vegetable, and low-fat dairy diet pattern had higher intakes of protein, fiber, and micronutrients and the highest BMI and CD4 count. Subjects in the juice and soda pattern had higher energy intakes and lowest BMI. On average, the fast food and fruit drinks cluster and fruit, vegetable, and low-fat dairy cluster gained 0.33 (P = 0.06) and 0.42 (P = 0.02), respectively, more in BMI than the juice and soda cluster across the study interval in a multivariate model. In a cohort of HIV-positive men, we identified 3 distinct dietary patterns; each pattern was associated with specific nutrition, demographic, and HIV-related variables.
Nutritional status is an important determinant of HIV outcomes. We assessed the association between dietary patterns identified by cluster analysis and change in body mass index (BMI; in kg/m...), CD4 count, and viral load (VL). HIV-positive adult male subjects (n = 348) with a BMI ≥ 20.5 were evaluated by biochemical, body composition, and dietary data. Cluster analysis was performed on 41 designated food groups derived from 3-d food records. Dietary clusters were compared for sociodemographic, nutrient intake, and clinical outcomes. Multivariate linear regression assessed associations between dietary clusters and change in BMI, CD4 count, and VL. We observed 3 dietary patterns: juice and soda; fast food and fruit drinks; and fruit, vegetable, and low-fat dairy. Subjects in the fast food and fruit drinks pattern had the lowest fiber intake, highest VL, and lowest CD4 count and had a lower income than did subjects in the other 2 clusters. Subjects in the fruit, vegetable, and low-fat dairy diet pattern had higher intakes of protein, fiber, and micronutrients and the highest BMI and CD4 count. Subjects in the juice and soda pattern had higher energy intakes and lowest BMI. On average, the fast food and fruit drinks cluster and fruit, vegetable, and low-fat dairy cluster gained 0.33 (P = 0.06) and 0.42 (P = 0.02), respectively, more in BMI than the juice and soda cluster across the study interval in a multivariate model. In a cohort of HIV-positive men, we identified 3 distinct dietary patterns; each pattern was associated with specific nutrition, demographic, and HIV-related variables. (ProQuest: ... denotes formulae/symbols omitted.)
Background: Nutritional status is an important determinant of HIV outcomes. Objective: We assessed the association between dietary patterns identified by cluster analysis and change in body mass index (BMI; in kg/m super(2)), CD4 count, and viral load (VL). Design: HIV-positive adult male subjects (n = 348) with a BMI > 20.5 were evaluated by biochemical, body composition, and dietary data. Cluster analysis was performed on 41 designated food groups derived from 3-d food records. Dietary clusters were compared for sociodemographic, nutrient intake, and clinical outcomes. Multivariate linear regression assessed associations between dietary clusters and change in BMI, CD4 count, and VL. Results: We observed 3 dietary patterns: juice and soda; fast food and fruit drinks; and fruit, vegetable, and low-fat dairy. Subjects in the fast food and fruit drinks pattern had the lowest fiber intake, highest VL, and lowest CD4 count and had a lower income than did subjects in the other 2 clusters. Subjects in the fruit, vegetable, and low-fat dairy diet pattern had higher intakes of protein, fiber, and micronutrients and the highest BMI and CD4 count. Subjects in the juice and soda pattern had higher energy intakes and lowest BMI. On average, the fast food and fruit drinks cluster and fruit, vegetable, and low-fat dairy cluster gained 0.33 (P = 0.06) and 0.42 (P = 0.02), respectively, more in BMI than the juice and soda cluster across the study interval in a multivariate model. Conclusions: In a cohort of HIV-positive men, we identified 3 distinct dietary patterns; each pattern was associated with specific nutrition, demographic, and HIV-related variables.
Author Newby, PK
Mwamburi, D. Mkaya
Hendricks, Kristy M
Wanke, Christine A
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Issue 6
Keywords Infection
Human
Immunopathology
Prognosis
Nutrition
Health
Viral disease
AIDS
Immune deficiency
Feeding
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SSID ssj0012486
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Snippet BACKGROUND: Nutritional status is an important determinant of HIV outcomes. OBJECTIVE: We assessed the association between dietary patterns identified by...
Nutritional status is an important determinant of HIV outcomes. We assessed the association between dietary patterns identified by cluster analysis and change...
Nutritional status is an important determinant of HIV outcomes. We assessed the association between dietary patterns identified by cluster analysis and change...
Background: Nutritional status is an important determinant of HIV outcomes. Objective: We assessed the association between dietary patterns identified by...
Nutritional status is an important determinant of HIV outcomes.BACKGROUNDNutritional status is an important determinant of HIV outcomes.We assessed the...
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StartPage 1584
SubjectTerms acquired immunodeficiency syndrome
administration & dosage
Adult
Antiretroviral Therapy, Highly Active
Biological and medical sciences
body composition
Body Mass Index
body weight changes
carbonated beverages
CD4 Lymphocyte Count
Clinical outcomes
Cluster Analysis
Cohort Studies
Dairy Products
Diet
Diet - psychology
Diet - statistics & numerical data
Diet - trends
dietary energy sources
Dietary Fats
Dietary Fats - administration & dosage
dietary fiber
dietary protein
drug therapy
eating habits
energy intake
Fast food
fast foods
Feeding. Feeding behavior
Food
food choices
Food groups
food records
Fruit
fruit drinks
fruit juices
Fruits
fruits (food)
Fundamental and applied biological sciences. Psychology
health status
HIV
HIV Infections
HIV Infections - drug therapy
HIV Infections - immunology
HIV Infections - mortality
HIV Infections - pathology
Human immunodeficiency virus
Humans
immunology
Longitudinal Studies
low fat dairy products
low income households
lymphocyte count
Male
Men
Micronutrients
Middle Aged
mortality
Multivariate Analysis
nutrient intake
Nutrition
nutrition risk assessment
nutritional adequacy
Nutritional Status
pathology
Prognosis
psychology
sociodemographic characteristics
soft drinks
statistics & numerical data
trends
Vegetables
Vertebrates: anatomy and physiology, studies on body, several organs or systems
viral antigens
Viral Load
Title Dietary patterns and health and nutrition outcomes in men living with HIV infection
URI https://www.ncbi.nlm.nih.gov/pubmed/19064519
https://www.proquest.com/docview/231924006
https://www.proquest.com/docview/20390599
https://www.proquest.com/docview/46153353
https://www.proquest.com/docview/69877637
https://www.ncbi.nlm.nih.gov/pmc/articles/2735882
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