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 in | The American journal of clinical nutrition Vol. 88; no. 6; pp. 1584 - 1592 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Bethesda, MD
American Society for Clinical Nutrition
01.12.2008
American Society for Nutrition American Society for Clinical Nutrition, Inc |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0002-9165 1938-3207 1938-3207 |
| DOI | 10.3945/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. |
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| 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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| 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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| 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 |
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