Associations between Avocado Intake and Lower Rates of Incident Type 2 Diabetes in US Adults with Hispanic/Latino Ancestry — Oak Academic Publishing
Research ArticleOpen AccessGoogle Scholar indexed
Associations between Avocado Intake and Lower Rates of Incident Type 2 Diabetes in US Adults with Hispanic/Latino Ancestry
USDA/ARS Children’s Nutrition Research Center, Baylor College of Medicine, Houston, USA
,
USDA/ARS Children’s Nutrition Research Center, Baylor College of Medicine, Houston, USA
,
The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, USA
1 USDA/ARS Children’s Nutrition Research Center, Baylor College of Medicine, Houston, USA
2 USDA/ARS Children’s Nutrition Research Center, Baylor College of Medicine, Houston, USA
3 The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, USA
Background/Purpose: Hispanic/Latinos in the US are at increased risk for type 2 diabetes (T2D). Data suggest that avocado intake is associated with better glycemic control, but whether this translates to protection from T2D has not been studied. The goal of the current analyses was to examine whether consuming avocados at baseline is associated with lower incident T2D over a six-year period, compared to not consuming avocados at baseline. Subjects/Methods: Using data from a large population of US adults with Hispanic ancestry, without known or unknown T2D at baseline (N = 6159), participants were classified as avocado consumers (N = 983) or non-consumers (N = 5176) based on the mean of two 24-hour dietary recalls. Cox proportional hazard models estimated the association of avocado consumption with incident T2D (N = 656 cases) over a six-year follow-up period, in the population as a whole, and separately in those with normoglycemia vs. prediabetes at baseline. A set of three sequential models were run: the first controlling only for sociodemographic factors (“minimally adjusted” models), the second for these and health behaviors (“fully adjusted” models), and a third for both sets of covariates and also body mass index (BMI; “fully adjusted + BMI” models). Results: In the population as a whole, avocado intake at baseline was associated with reduced incident T2D in both the minimally adjusted (hazard ratio [HR] (±95% confidence intervals [CIs]): 0.70 (0.52 - 0.94), P = 0.04) and the fully adjusted models (HR: 0.72 (0.54 - 0.97), P = 0.03). This association was observed in both those with prediabetes and with normoglycemia at baseline, but only reached significance in those with prediabetes (minimally adjusted model: HR: 0.68 (0.48 - 0.97), P = 0.03; fully adjusted model: HR: 0.69 (0.48 - 0.98), P = 0.04), not in those with normoglycemia (minimally adjusted model: HR: 0.86 (0.45 - 1.65), P = 0.65; fully adjusted model: HR: 0.80 (0.41 - 1.55), P = 0.50). In models which additionally controlled for BMI (“fully adjusted + BMI model”), the associations were slightly attenuated (overall population: HR: 0.79 (0.59 - 1.06), P = 0.60; normoglycemia: HR: 0.83 (0.42 - 1.64), P = 0.60; prediabetes: HR = 0.75 (0.54 - 1.05), P = 0.09). Conclusions: In our longitudinal analyses, adults with Hispanic/Latino ancestry who consumed avocado were less likely to develop T2D than those who did not consume avocado at baseline, especially if they had prediabetes at baseline.
KeywordsAvocadoDietType 2 DiabetesDysglycemia
Bullard, K.M., Cowie, C.C., Lessem, S.E., et al. (2018) Prevalence of Diagnosed Diabetes in Adults by Diabetes Type—United States, 2016. Morbidity and Mortality Weekly Report, 67, 359-361. https://doi.org/10.15585/mmwr.mm6712a2
Ennis, S.R., Ríos-Vargas, M. and Albert, N.G. (2011) The Hispanic Population: 2010: US Department of Commerce, Economics and Statistics Administration, US.
Franz, M.J., Bantle, J.P., Beebe, C.A., et al. (2004) Nutrition Principles and Recommendations in Diabetes. Diabetes Care, 27, S36-S46. https://doi.org/10.2337/diacare.27.2007.S36
Bantle, J.P., Wylie-Rosett, J., Albright, A.L., et al. (2008) Nutrition Recommendations and Interventions for Diabetes: A Position Statement of the American Diabetes Association. Diabetes Care, 31, S61-S78. https://doi.org/10.2337/dc08-S061
Imamura, F., Micha, R., Wu, J.H., et al. (2016) Effects of Saturated Fat, Polyunsaturated Fat, Monounsaturated Fat, and Carbohydrate on Glucose-Insulin Homeostasis: A Systematic Review and Meta-Analysis of Randomised Controlled Feeding Trials. PLoS Medicine, 13, e1002087. https://doi.org/10.1371/journal.pmed.1002087
Rasmussen, O.W., Thomsen, C., Hansen, K.W., et al. (1993) Effects on Blood Pressure, Glucose, and Lipid Levels of High-Monounsaturated Fat Diet Compared with a High-Carbohydrate Diet in NIDDM Subjects. Diabetes Care, 16, 1565-1571. https://doi.org/10.2337/diacare.16.12.1565
Parillo, M., Rivellese, A., Ciardullo, A., et al. (1992) A High-Monounsaturated-Fat/ Low-Carbohydrate Diet Improves Peripheral Insulin Sensitivity in Non-Insulin-Dependent Diabetic Patients. Metabolism, 41, 1373-1378. https://doi.org/10.1016/0026-0495(92)90111-M
Luscombe, N., Noakes, M. and Clifton, P. (1999) Diets High and Low in Glycemic Index versus High Monounsaturated Fat Diets: Effects on Glucose and Lipid Metabolism in NIDDM. European Journal of Clinical Nutrition, 53, 473-478. https://doi.org/10.1038/sj.ejcn.1600779
de Barros, C.R., Cezaretto, A., Curti, M.L.R., et al. (2014) Realistic Changes in Monounsaturated Fatty Acids and Soluble Fibers Are Able to Improve Glucose Metabolism. Diabetology & Metabolic Syndrome, 6, Article No. 136. https://doi.org/10.1186/1758-5996-6-136
Schwingshackl, L., Strasser, B. and Hoffmann, G. (2011) Effects of Monounsaturated Fatty Acids on Glycaemic Control in Patients with Abnormal Glucose Metabolism: A Systematic Review and Meta-Analysis. Annals of Nutrition and Metabolism, 58, 290-296. https://doi.org/10.1159/000331214
Monounsaturated Fats
Schwingshackl, L., Christoph, M. and Hoffmann, G. (2015) Effects of Olive Oil on Markers of Inflammation and Endothelial Function—A Systematic Review and Meta-Analysis. Nutrients, 7, 7651-7675. https://doi.org/10.3390/nu7095356
Schwingshackl, L. and Strasser, B. (2012) High-MUFA Diets Reduce Fasting Glucose in Patients with Type 2 Diabetes. Annals of Nutrition & Metabolism, 60, 33. https://doi.org/10.1159/000335162
Pacheco, L.S., Li, Y., Rimm, E.B., et al. (2022) Avocado Consumption and Risk of Cardiovascular Disease in US Adults. Journal of the American Heart Association, 11, e024014. https://doi.org/10.1161/JAHA.121.024014
Park, E., Edirisinghe, I. and Burton-Freeman, B. (2018) Avocado Fruit on Postprandial Markers of Cardio-Metabolic Risk: A Randomized Controlled Dose Response Trial in Overweight and Obese Men and Women. Nutrients, 10, 1287. https://doi.org/10.3390/nu10091287
Wien, M., Haddad, E., Oda, K. and Sabate, J. (2013) A Randomized 3x3 Crossover Study to Evaluate the Effect of Hass Avocado Intake on Post-Ingestive Satiety, Glucose and Insulin Levels, and Subsequent Energy Intake in Overweight Adults. Nutrition Journal, 12, 155. https://doi.org/10.1186/1475-2891-12-155
Fulgoni, V.L., Dreher, M. and Davenport, A.J. (2013) Avocado Consumption Is Associated with Better Diet Quality and Nutrient Intake, and Lower Metabolic Syndrome Risk in US Adults: Results from the National Health and Nutrition Examination Survey (NHANES) 2001-2008. Nutrition Journal, 12, Article No. 1. https://doi.org/10.1186/1475-2891-12-1
Lavange, L.M., Kalsbeek, W.D., Sorlie, P.D., et al. (2010) Sample Design and Cohort Selection in the Hispanic Community Health Study/Study of Latinos. Annals of Epidemiology, 20, 642-649. https://doi.org/10.1016/j.annepidem.2010.05.006
Sorlie, P.D., Aviles-Santa, L.M., Wassertheil-Smoller, S., et al. (2010) Design and Implementation of the Hispanic Community Health Study/Study of Latinos. Annals of Epidemiology, 20, 629-641. https://doi.org/10.1016/j.annepidem.2010.03.015
Association AD (2010) Diagnosis and Classification of Diabetes Mellitus. Diabetes Care, 33, S62-S69. https://doi.org/10.2337/dc10-S062
Block, G., Wakimoto, P., Jensen, C., et al. (2006) Validation of a Food Frequency Questionnaire for Hispanics. Preventing Chronic Disease, 3, A77.
Mossavar-Rahmani, Y., Sotres-Alvarez, D., Wong, W.W., et al. (2017) Applying Recovery Biomarkers to Calibrate Self-Report Measures of Sodium and Potassium in the Hispanic Community Health Study/Study of Latinos. Journal of Human Hypertension, 31, 860. https://doi.org/10.1038/jhh.2017.74
Harnack, L. (2013) Nutrition Data System for Research (NDSR). In: Gellman, M.D. and Turner, J.R., Eds., Encyclopedia of Behavioral Medicine, Springer, New York, 1348-1350.
Tooze, J.A., Kipnis, V., Buckman, D.W., et al. (2010) A Mixed-Effects Model Approach for Estimating the Distribution of Usual Intake of Nutrients: The NCI Method. Statistics in Medicine, 29, 2857-2868. https://doi.org/10.1002/sim.4063
Diep, C.S., Lemaitre, R.N., Chen, T.A., et al. (2016) Acculturation and Plasma Fatty Acid Concentrations in Hispanic and Chinese-American Adults: The Multi-Ethnic Study of Atherosclerosis. PLOS ONE, 11, e0149267. https://doi.org/10.1371/journal.pone.0149267
Kandula, N.R., Diez-Roux, A.V., Chan, C., et al. (2008) Association of Acculturation Levels and Prevalence of Diabetes in the Multi-Ethnic Study of Atherosclerosis (MESA). Diabetes Care, 31, 1621-1628. https://doi.org/10.2337/dc07-2182
Bull, F.C., Maslin, T.S. and Armstrong, T. (2009) Global Physical Activity Questionnaire (GPAQ): Nine Country Reliability and Validity Study. Journal of Physical Activity & Health, 6, 790-804. https://doi.org/10.1123/jpah.6.6.790
Computing R (2013) R: A Language and Environment for Statistical Computing. R Core Team, Vienna.
Lumley, T. (2015) Package “Survey”. R Package Version 3, 3-30.
Sabin, M., Moon, J., Lee, J., et al. (2010) Dietary Monounsaturated Fatty Acids Preserve the Insulin Signaling Pathway via IRS-1/PI3K in Rat Skeletal Muscle. Lipids, 45, 1109-1116. https://doi.org/10.1007/s11745-010-3475-3
Zillich, A.J., Garg, J., Basu, S., Bakris, G.L. and Carter, B.L. (2006) Thiazide Diuretics, Potassium, and the Development of Diabetes: A Quantitative Review. Hypertension, 48, 219-224. https://doi.org/10.1161/01.HYP.0000231552.10054.aa
Barbagallo, M., Dominguez, L.J., Galioto, A., et al. (2003) Role of Magnesium in Insulin Action, Diabetes and Cardio-Metabolic Syndrome X. Molecular Aspects of Medicine, 24, 39-52. https://doi.org/10.1016/S0098-2997(02)00090-0
Riserus, U., Willett, W.C. and Hu, F.B. (2009) Dietary Fats and Prevention of Type 2 Diabetes. Progress in Lipid Research, 48, 44-51. https://doi.org/10.1016/j.plipres.2008.10.002
Schwingshackl, L., Lampousi, A., Portillo, M., et al. (2017) Olive Oil in the Prevention and Management of Type 2 Diabetes Mellitus: A Systematic Review and Meta-Analysis of Cohort Studies and Intervention Trials. Nutrition & Diabetes, 7, e262. https://doi.org/10.1038/nutd.2017.12
Pareo-Tubbeh, S.L., Romero, L.J., Baumgartner, R.N., et al. (1999) Comparison of Energy and Nutrient Sources of Elderly Hispanics and Non-Hispanic Whites in New Mexico. Journal of the American Dietetic Association, 99, 572-582. https://doi.org/10.1016/S0002-8223(99)00141-8
Bartholomew, A., Young, E., Martin, H. and Hazuda, H.P. (1990) Food Frequency Intakes and Sociodemographic Factors of Elderly Mexican Americans and Non-Hispanic Whites. Journal of the American Dietetic Association, 90, 1693-1696. https://doi.org/10.1016/S0002-8223(21)01877-0
Willett, W. (1987) Nutritional Epidemiology: Issues and Challenges. International Journal of Epidemiology, 16, 312-317. https://doi.org/10.1093/ije/16.2.312
Centers for Disease Control and Prevention (2011) National Diabetes Fact Sheet: National Estimates and General Information on Diabetes and Prediabetes in the United States, 2011. Atlanta, GA: US Department of Health and Human Services, Centers for Disease Control and Prevention, 201, 2568-2569.
Aviles-Santa, M.L., Heintzman, J., Lindberg, N.M., et al. (2017) Personalized Medicine and Hispanic Health: Improving Health Outcomes and Reducing Health Disparities—A National Heart, Lung, and Blood Institute Workshop Report. BMC Proceedings, 11, 11. https://doi.org/10.1186/s12919-017-0079-4