Providing Comprehensive Dietary Fatty Acid Profiling from Saturates to Polyunsaturates with the Malaysia Lipid Study-Food Frequency Questionnaire: Validation Using the Triads Approach

Benchmarking Diet Quality to Assess Nutritional Risk in Hemodialysis Patients: Applying Adequacy and Moderation Metrics of the Hemodialysis-Healthy Eating Index

OBJECTIVES

This study modified Healthy Eating Index (HEI) based on hemodialysis (HD) specific guidelines and investigated associations between the diet quality (DQ) and nutritional risk in HD patients.

METHODS

The HD-HEI tool adapted the XXX Dietary Guidelines 2010 framework according to HD-specific nutrition guidelines. This HD-HEI was applied to 3-day dietary records of 382 HD patients. Relationships between HD-HEI scores and nutritional parameters were tested by partial correlations. Binary logistic regression models adjusted with confounders were used to determine adjusted odds ratio (_adjOR) with 95% confidence interval (CI) for nutritional risk based on HD-HEI scores categorization.

RESULTS

The total HD-HEI score (51.3 ± 10.2) for this study population was affected by ethnicity (P_trend<0.001) and sex (P=0.003). No patient achieved "good" DQ (score: 81-100), while DQ of 54.5% patients were classified as "needs improvement" (score: 51-80) and remaining as "poor" (score: 0-51). Total HD-HEI scores were positively associated with dietary energy intake (DEI) and dietary protein intakes (DPI), dry weight and handgrip strength, but inversely associated with Dietary Monotony Index (DMI) (all P<0.05). Individually, scores for refined grain, total protein, and animal protein were positively associated with DEI (all P< 0.05), whilst total, animal, fish and vegetable proteins indicated positive associations with DPI (all P< 0.05). Moderating metrics for convenience meals, saturated fats, sodium, and fluid negatively correlated towards DEI with similar trends for DPI excepting convenience meals and fluids. "Poor" DQ was associated with DMI ≥ 29.2 (_adjOR: 18.83, 95% CI: 9.36-37.86, P<0.001), Malnutrition Inflammation Score (MIS) ≥ 5 (_adjOR: 1.78, 95% CI: 1.01-3.15, P=0.045), and Protein Energy Wasting (PEW) (_adjOR: 1.96, 95% CI: 1.14-3.34, P=0.031), but became nullified with covariate adjustments. "Poor" DQ was also associated with low lean tissue mass (< 32.6 kg) in men (_adjOR: 2.38, 95% CI: 1.01-5.58, P=0.046) but not women.

CONCLUSIONS

"Poor" DQ was associated with poor nutritional status in XXX HD patients, who should be targeted for nutritional counselling.

Spillover Effects of a Family-Based Childhood Weight-Management Intervention on Parental Nutrient Biomarkers and Cardiometabolic Risk Factors

BACKGROUND

Parental involvement has been shown to favorably affect childhood weight-management interventions, but whether these interventions influence parental diet and cardiometabolic health outcomes is unclear.

OBJECTIVES

The aim was to evaluate whether a 1-y family-based childhood weight-management intervention altered parental nutrient biomarker concentrations and cardiometabolic risk factors (CMRFs).

METHODS

Secondary analysis from a randomized-controlled, parallel-arm clinical trial (NCT00851201). Families were recruited from a largely Hispanic population and assigned to either standard care (SC; American Academy of Pediatrics overweight/obesity recommendations) or SC + enhanced program (SC+EP; targeted diet/physical activity strategies, skill building, and monthly support sessions). Nutrient biomarkers (plasma carotenoids and fat-soluble vitamins, RBC fatty acid profiles) and CMRFs (BMI, blood pressure, glucose, insulin, lipid profile, inflammatory and endothelial dysfunction markers, adipokines) were measured in archived samples collected from parents of participating children at baseline and end of the 1-y intervention.

RESULTS

Parents in both groups (SC = 106 and SC+EP = 99) had significant reductions in trans fatty acid (-14%) and increases in MUFA (2%), PUFA n-6 (ɷ-6) (2%), PUFA n-3 (7%), and β-carotene (20%) concentrations, indicative of lower partially hydrogenated fat and higher vegetable oil, fish, and fruit/vegetable intake, respectively. Significant reductions in high-sensitivity C-reactive protein (hsCRP; -21%) TNF-α (-19%), IL-6 (-19%), and triglycerides (-6%) were also observed in both groups. An additional significant improvement in serum insulin concentrations (-6%) was observed in the SC+EP parents. However, no major reductions in BMI or blood pressure and significant unfavorable trajectories in LDL-cholesterol and endothelial dysfunction markers [P-selectin, soluble intercellular adhesion molecule (sICAM), thrombomodulin] were observed. Higher carotenoid, MUFA, and PUFA (n-6 and n-3) and lower SFA and trans fatty acid concentrations were associated with improvements in circulating glucose and lipid measures, inflammatory markers, and adipokines.

CONCLUSIONS

The benefits of a family-based childhood weight-management intervention can spill over to parents, resulting in apparent healthier dietary shifts that are associated with modest improvements in some CMRFs.

A Food Frequency Questionnaire for Hemodialysis Patients in Bangladesh (BDHD-FFQ): Development and Validation

Diet is a recognized risk factor and cornerstone for chronic kidney disease (CKD) management; however, a tool to assess dietary intake among Bangladeshi dialysis patients is scarce. This study aims to validate a prototype Bangladeshi Hemodialysis Food Frequency Questionnaire (BDHD-FFQ) against 3-day dietary recall (3DDR) and corresponding serum biomarkers. Nutrients of interest were energy, macronutrients, potassium, phosphate, iron, sodium and calcium. The BDHD-FFQ, comprising 132 food items, was developed from 606 24-h recalls and had undergone face and content validation. Comprehensive facets of relative validity were ascertained using six statistical tests (correlation coefficient, percent difference, paired t-test, cross-quartiles classification, weighted kappa, and Bland-Altman analysis). Overall, the BDHD-FFQ showed acceptable to good correlations (p < 0.05) with 3DDR for the concerned nutrients in unadjusted and energy-adjusted models, but this correlation was diminished when adjusted for other covariates (age, gender, and BMI). Phosphate and potassium intake, estimated by the BDHD-FFQ, also correlated well with the corresponding serum biomarkers (p < 0.01) when compared to 3DDR (p > 0.05). Cross-quartile classification indicated that <10% of patients were incorrectly classified. Weighted kappa statistics showed agreement with all but iron. Bland-Altman analysis showed positive mean differences were observed for all nutrients when compared to 3DDR, whilst energy, carbohydrates, fat, iron, sodium, and potassium had percentage data points within the limit of agreement (mean ± 1.96 SD), above 95%. In summary, the BDHD-FFQ demonstrated an acceptable relative validity for most of the nutrients as four out of the six statistical tests fulfilled the cut-off standard in assessing dietary intake of CKD patients in Bangladesh.