scholarly journals Food-Insecure Dietary Patterns Are Associated With Poor Longitudinal Glycemic Control in Diabetes: Results From the Boston Puerto Rican Health Study

Diabetes Care ◽  
2014 ◽  
Vol 37 (9) ◽  
pp. 2587-2592 ◽  
Author(s):  
Seth A. Berkowitz ◽  
Xiang Gao ◽  
Katherine L. Tucker
Keyword(s):  
Glycemic Control ◽  
Puerto Rican ◽  
Dietary Patterns ◽  
Health Study

Prospective Study of Plant-Based Dietary Patterns and Diabetes in Puerto Rican Adults

2021 ◽  
Author(s):  
Ashley C Flores ◽  
Christopher Heron ◽  
Jung In Kim ◽  
Bryan Martin ◽  
Laila Al-Shaar ◽  
...  
Keyword(s):  
Puerto Rican ◽  
Dietary Patterns ◽  
Diabetes Management ◽  
Depressive Symptomatology ◽  
Plasma Concentrations ◽  
Cox Proportional Hazards ◽  
Hypoglycemic Agents ◽  
Health Study ◽  
Dietary Index

ABSTRACT Background Vegetarian-type dietary patterns have been associated with reducing the risk of developing diabetes and may function as an effective strategy for diabetes management. Objectives We aimed to examine the associations between adherence to plant-based diet indices and the risk of developing diabetes in the Boston Puerto Rican Health Study. Methods Puerto Rican adults (n = 646), aged 45–75 y and free of diabetes at baseline, were included. Dietary intake was assessed via a validated FFQ. Three plant-based dietary indices were calculated: an overall plant-based diet index (PDI), a healthful plant-based diet index (hPDI), and an unhealthful plant-based diet index (uPDI). Incident diabetes was defined as fasting plasma glucose ≥ 126 mg/dL (7.0 mmol/L), glycated hemoglobin ≥ 6.5% (48 mmol/mol), or use of hypoglycemic agents during follow-up. Cox proportional hazards were used to evaluate associations between the dietary patterns and incidence of diabetes, adjusting for potential confounders, such as age, sex, socioeconomic status, lifestyle factors, obesity, total energy intake, depressive symptomatology, and plasma concentrations of lipids. Results During a mean of 4.2 y of follow-up, we identified 134 diabetes cases. After adjustment for covariates, higher hPDI was associated with lower risk of developing diabetes (adjusted HR for the highest compared with the lowest tertile: 0.54; 95% CI: 0.31, 0.94; P-trend = 0.03). In contrast, the PDI and uPDI were not significantly associated with the risk of diabetes (P-trend > 0.3 for both). Conclusions The healthful plant-based dietary index, but not the total plant-based dietary index, was inversely associated with diabetes risk. These findings suggest that the quality of plant-based diets must be considered when recommending plant-based diets for the prevention of diabetes. This trial was registered at clinicaltrials.gov as NCT01231958.

scholarly journals Dietary Patterns and Years Living in the US by Hispanic/Latino Heritage in HCHS/SOL

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 1057-1057
Author(s):  
Luis Maldonado ◽  
Linda Adair ◽  
Daniela Sotres-Alvarez ◽  
Josiemer Mattei ◽  
Yasmin Mossavar-Rahmani ◽  
...  
Keyword(s):  
Puerto Rican ◽  
Dietary Patterns ◽  
Kidney Diseases ◽  
Healthy Eating Index ◽  
Soft Drinks ◽  
Central American ◽  
Health Study ◽  
White Rice ◽  
The Us ◽  
Red Meats

Abstract Objectives We aimed to identify and compare a posteriori heritage-specific dietary patterns (DPs), and evaluate their associations with “healthfulness” (using Alternative Healthy Eating Index, AHEI-2010) and years living in the US. Methods We used baseline data from a population-based cohort of 14,099 Hispanics/Latinos aged 18–74 years in the Hispanic Community Health Study/Study of Latinos. We performed principal factor analysis using two 24-hr recalls to derive DPs, separately, in each heritage group (Cuban, Dominican, Mexican, Puerto Rican, Central American, South American); and identified overarching DPs based on high-loading foods shared by two or more groups. We used multivariable linear regression to test associations of DPs with AHEI-2010 and years living in the US. This trial was registered at clinicaltrials.gov as NCT02060344. Results We identified 5 overarching DPs (“Burgers, Fries, & Soft Drinks”; “White Rice, Beans, & Red Meats”; “Fish”; “Egg & Cheese”; and “Alcohol”). While all “Burgers, Fries, & Soft Drinks” DPs were inversely associated with AHEI-2010, all Fish DPs (except Dominican) were positively associated with this index (all Ptrend < 0.001). Meanwhile, “White Rice, Beans, & Red Meats” DPs showed inverse associations in Cuban and Central American groups and positive associations in Mexican-origin individuals (all Ptrend < 0.001). Fewer years living in the US was associated with higher scores for “White Rice, Beans, & Red Meats” DPs in Cuban and Mexican heritage groups and lower scores on “Burgers, Fries, & Soft Drinks” DPs in Cuban, Mexican, and Puerto Rican groups (all Ptrend < 0.01). Conclusions Our findings show substantial variation in DPs across Hispanics/Latinos and adherence in DPs by time in the US, which could inform dietary interventions targeting this diverse US population. Funding Sources This research received support from the National Heart, Lung, and Blood Institute Global Cardiometabolic Disease Training Grant (1T32HL129969–01A1), the National Institute of Diabetes and Digestive and Kidney Diseases (K01DK107791), and from the Population Research Infrastructure Program (R24 HD050924) awarded to the Carolina Population Center at The University of North Carolina at Chapel Hill by the Eunice Kennedy Shriver National Institute of Child Health and Human Development.

scholarly journals Plant-Based Dietary Patterns and the Incidence of Diabetes in the Boston Puerto Rican Health Study

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 405-405
Author(s):  
Ashley Flores ◽  
Bryan Martin ◽  
Jung In Kim ◽  
Christopher Heron ◽  
Laila Al-Shaar ◽  
...  
Keyword(s):  
Puerto Rican ◽  
Dietary Patterns ◽  
Plasma Concentrations ◽  
Cox Proportional Hazards ◽  
Incident Diabetes ◽  
Hypoglycemic Agents ◽  
Health Study ◽  
Dietary Index ◽  
Dietary Indices

Abstract Objectives To examine the associations between the plant-based diet and risk of developing diabetes in participants of the Boston Puerto Rican Health Study. Methods Included were 691 Puerto Ricans aged 45–75 years who were free of diabetes at baseline. Dietary intake was assessed via a validated food frequency questionnaire. Three plant-based dietary indices were then calculated, including an overall plant-based diet index (PDI), healthful plant-based diet index (hPDI), and an unhealthful plant-based diet index (uPDI). Incident diabetes was defined as fasting plasma glucose 126 mg/dL [7.0 mmol/L], hemoglobin A1c 6.5% [48 mmol/mol] or use of any hypoglycemic agents during follow-up. Cox proportional hazards models were used to evaluate the associations between the plant-based dietary patterns and the incidence of diabetes, adjusting for potential confounders, such as age, sex, socioeconomic status, lifestyle factors, obesity, total energy intake, depression, and plasma concentrations of c-reactive protein and lipid profiles. Results During the 5-years of follow-up, we identified 139 incident diabetes cases. After adjustment for covariates, hPDI was inversely associated with the risk for developing diabetes (P-trend = 0.04). The adjusted hazard ratio (HR) for the highest vs lowest tertiles of hPDI was 0.56 (95% confidence interval: 0.32–0.96). In contrast, The PDI and uPDI dietary indices were not significantly associated with the risk of diabetes (P-trend > 0.2 for both). Conclusions The healthful plant-based dietary index was associated with a lower risk of diabetes. These findings suggest that the healthful plant-based dietary index may be beneficial for the prevention of the development of diabetes. Funding Sources This project was supported by the National Institute on Aging, the National Heart, Lung, and Blood Institue, and the National Center for Advancing Translational Sciences.

Depressive Symptoms and Glycemic Control among Puerto Rican Adults with Diabetes

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 1596-P ◽  
Author(s):  
JOSIEMER MATTEI ◽  
LUIS M. FALCON ◽  
KATHERINE L. TUCKER
Keyword(s):  
Depressive Symptoms ◽  
Glycemic Control ◽  
Puerto Rican

scholarly journals Allostatic load is associated with chronic conditions in the Boston Puerto Rican Health Study

2010 ◽  
Vol 70 (12) ◽  
pp. 1988-1996 ◽  
Author(s):  
Josiemer Mattei ◽  
Serkalem Demissie ◽  
Luis M. Falcon ◽  
Jose M. Ordovas ◽  
Katherine Tucker
Keyword(s):  
Puerto Rican ◽  
Chronic Conditions ◽  
Allostatic Load ◽  
Health Study

scholarly journals Carbohydrate intake, blood lipids, and diabetes in the Boston Puerto Rican Health Study

2011 ◽  
Vol 25 (S1) ◽  
Author(s):  
Maria I Van Rompay ◽  
Carmen Castaneda‐Sceppa ◽  
Nicola M McKeown ◽  
Jose M Ordovas ◽  
Katherine L Tucker
Keyword(s):  
Puerto Rican ◽  
Blood Lipids ◽  
Carbohydrate Intake ◽  
Health Study

Abstract 17285: Metabolite-Derived Network Reveals Cluster of Acylcholine Metabolites Associated With Better Diet Quality and Lower Prevalence of Type 2 Diabetes: Findings From the Boston Puerto Rican Health Study

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Danielle E Haslam ◽  
Dong Wang ◽  
Liming Liang ◽  
Rachel S Kelly ◽  
Clemens Wittenbecher ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Puerto Rican ◽  
Diet Quality ◽  
Tca Cycle ◽  
Dietary Factors ◽  
Health Study ◽  
Plasma Metabolites ◽  
Cluster Score ◽  
Increased Risk

Introduction: Puerto Rican (PR) adults living on the US mainland are at high risk for developing type 2 diabetes (T2D), and dietary factors may contribute to this increased risk. Network analysis is a data-reduction tool that can identify correlated clusters of co-regulated metabolites that reflect mechanisms underlying diet-T2D associations. Hypothesis: Diet quality will associate with T2D-associated metabolite clusters among PR adults. Methods: We used LC/MS to measure fasting plasma metabolites (>700) among Boston PR Health Study participants, aged 45-75 years, with (n=258) and without (n=421) T2D. We applied an unsupervised correlation network-based method to identify metabolite clusters within a global metabolite network and calculated a score for each cluster using a weighted sum of metabolite concentrations. To estimate diet quality, we calculated a modified version of a previously validated American Heart Association diet score (AHA-DS). Logistic regression was used to assess cross-sectional associations between metabolite clusters and prevalent T2D, and linear regression was used to assess associations between the continuous AHA-DS and T2D-associated metabolite clusters among controls, adjusting for potential confounders and correcting for multiple testing. Results: We identified 7 metabolite clusters that were associated with prevalent T2D ( p <0.05). For every 1-standard deviation (SD) increase in cluster score, the odds ratios for prevalent T2D and 95% confidence intervals were as the follows: acylcholines [0.40 (0.31, 0.50)], aromatic hydrocarbon derivatives [0.33 (0.22, 0.47)], sphingolipids [0.46 (0.33, 0.64)], tricarboxylic acid (TCA) cycle amino acids/peptides [0.39 (0.25, 0.62)], branched-chain amino acid metabolites [4.1 (2.9, 6.0)], acylcarnitines [1.8 (1.3, 2.5)], and TCA cycle/energy metabolites [2.0 (1.4, 3.0)]. The AHA-DS was only significantly associated with the acylcholine metabolites cluster [β (standard error) = 0.01 (0.004) SD increase in cluster score, p=0.02]. Conclusions: In individuals of PR descent, we identified a cluster of acylcholine metabolites where concentrations are higher among those with better diet quality and lower among those with prevalent T2D.

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