scholarly journals Development and validation of the US Healthy Food Diversity (HFD) Index: a novel measure of dietary variety, quality, and proportionality

2013 ◽  
Vol 27 (S1) ◽  
Author(s):  
Maya Vadiveloo ◽  
Todor Mijanovich ◽  
L Beth Dixon ◽  
Niyati Parekh
Keyword(s):  
Healthy Food ◽  
Dietary Variety ◽  
Food Diversity ◽  
The Us ◽  
Development And Validation ◽  
Healthy Food Diversity

scholarly journals Development and evaluation of the US Healthy Food Diversity index

2014 ◽  
Vol 112 (9) ◽  
pp. 1562-1574 ◽  
Author(s):  
Maya Vadiveloo ◽  
L. Beth Dixon ◽  
Tod Mijanovich ◽  
Brian Elbel ◽  
Niyati Parekh
Keyword(s):  
Diversity Index ◽  
Food Group ◽  
Healthy Food ◽  
Dietary Guidelines ◽  
Dietary Quality ◽  
Food Groups ◽  
Dietary Variety ◽  
Food Diversity ◽  
The Us ◽  
Healthy Food Diversity

Varied diets are diverse with respect to diet quality, and existing dietary variety indices do not capture this heterogeneity. We developed and evaluated the multidimensional US Healthy Food Diversity (HFD) index, which measures dietary variety, dietary quality and proportionality according to the 2010 Dietary Guidelines for Americans (DGA). In the present study, two 24 h dietary recalls from the 2003–6 National Health and Nutrition Examination Survey (NHANES) were used to estimate the intake of twenty-six food groups and health weights for each food group were informed by the 2010 DGA. The US HFD index can range between 0 (poor) and 1 − 1/n, where n is the number of foods; the score is maximised by consuming a variety of foods in proportions recommended by the 2010 DGA. Energy-adjusted Pearson's correlations were computed between the US HFD index and each food group and the probability of adequacy for fifteen nutrients. Linear regression was run to test whether the index differentiated between subpopulations with differences in dietary quality commonly reported in the literature. The observed mean index score was 0·36, indicating that participants did not consume a variety of healthful foods. The index positively correlated with nutrient-dense foods including whole grains, fruits, orange vegetables and low-fat dairy (r 0·12 to 0·64) and negatively correlated with added sugars and lean meats (r − 0·14 to − 0·23). The index also positively correlated with the mean probability of nutrient adequacy (r 0·41; P< 0·0001) and identified non-smokers, women and older adults as subpopulations with better dietary qualities. The US HFD index may be used to inform national dietary guidance and investigate whether healthful dietary variety promotes weight control.

Rethinking household demand for food diversity

2017 ◽  
Vol 119 (6) ◽  
pp. 1176-1188 ◽  
Author(s):  
Andrea M. Leschewski ◽  
Dave D. Weatherspoon ◽  
Annemarie Kuhns
Keyword(s):  
Diversity Index ◽  
Correlation Coefficients ◽  
Household Expenditures ◽  
Content Type ◽  
Product Code ◽  
Food Diversity ◽  
Food Expenditures ◽  
Food And Nutrition ◽  
The Us ◽  
Healthy Food Diversity

Purpose The purpose of this paper is to develop a group-based food diversity index, which represents diversity in household expenditures across food subgroups. The index is compared to a product code-based index and applied to reassess determinants of food diversity demand. Design/methodology/approach A group-based food diversity index is developed by adapting the US Healthy Food Diversity Index. Using Food Acquisition and Purchase Survey data on 4,341 US households, correlation coefficients, descriptive statistics and linear regressions are estimated to compare and reassess the determinants of group and product code-based food diversity demand. Findings Results show that the group and product code indices capture different forms of food diversity. The indices are only moderately correlated and have varying means and skewness. Education, gender, age, household size, race, SNAP and food expenditures are found to significantly affect food diversity. However, the magnitude and direction of the effects vary between group and product code indices. Given these differences, it is essential that studies select a diversity index that corresponds to their objective. Results suggest that group-based indices are appropriate for informing food and nutrition policy, while product code-based indices are ideal for guiding food industry management’s decision making. Originality/value A group-based food diversity index representative of household expenditures across food subgroups is developed.

scholarly journals A New Index to Measure Healthy Food Diversity Better Reflects a Healthy Diet Than Traditional Measures

2007 ◽  
Vol 137 (3) ◽  
pp. 647-651 ◽  
Author(s):  
Larissa S. Drescher ◽  
Silke Thiele ◽  
Gert B. M. Mensink
Keyword(s):  
Healthy Food ◽  
Healthy Diet ◽  
Food Diversity ◽  
Healthy Food Diversity

Bioanalytical Method Development and Validation for the Determination of Vasopressin Receptor Antagonist Conivaptan in Mouse Plasma at NanoLevel and its Pharmacokinetic Application

2019 ◽  
Vol 15 (5) ◽  
pp. 591-598 ◽  
Author(s):  
Haitham Alrabiah ◽  
Ahmed Bakheit ◽  
Sabray Attia ◽  
Gamal A.E. Mostafa
Keyword(s):  
Method Development ◽  
Internal Standard ◽  
Vasopressin Receptor ◽  
Mouse Plasma ◽  
Precipitation Procedure ◽  
Validation Parameters ◽  
The Us ◽  
Method Development And Validation ◽  
Development And Validation

Background: Conivaptan inhibits two of vasopressin receptor (vasopressin receptor V1a and V2). Conivaptan is used for the treatment of hyponatremia, and in some instances, for the treatment of the heart failure. Methods: The present study aimed to develop a simple, sensitive, and accurate HPLC with ultraviolet detection for the assay of conivaptan (CON) in mouse plasma using bisoprolol as internal standard (IS). A precipitation procedure was used to extract CON and the IS from the mouse plasma. CON was chromatographically separated using a C18 analytical column at 25°C. The separation was carried out using a mixture of phosphate buffer (50 mM): acetonitrile (60: 40, v/v, pH 4.5) with a flow rate of 1.0 mL/min and detection was performed at 240 nm. Results: The assay was validated according to the US Food and Drug (FDA) guidelines. The method demonstrated linearity over a concentration range of 150 - 2000 ng/mL (correlation coefficient: r 2 = 0.9985). The mean recovery of CON from the mouse plasma was 101.13%. All validation parameters for CON were within the acceptable range. Conclusion: The investigated method has been shown to be suitable for estimating the CON in plasma samples, and this method is sensitive and highly selective, allowing the estimation of its concentrations up to the nano-scale. The suggested method was successfully used in a pharmacokinetic study of CON in mouse plasma.

scholarly journals Bio analytical method development and validation for Ezetimibe and Pitavastain and its applications to pharmacokinetic studies in Rabbit plasma by using LCMS/MS

2020 ◽  
Vol 11 (4) ◽  
pp. 7854-7862
Author(s):  
Potturi Ramadevi ◽  
Kantipudi Rambabu
Keyword(s):  
Method Development ◽  
Extraction Process ◽  
Pharmacokinetic Studies ◽  
Rabbit Plasma ◽  
Highly Sensitive ◽  
The Us ◽  
Positive Mode ◽  
Method Development And Validation ◽  
Development And Validation ◽  
Preparation Techniques

For the gradation of Ezetimibe and Pitavastain in rabbit plasma, a highly sensitive and simple LC-MS/MS assay was developed and witnessed. The chromatographic conditions are isocratic with a waters symmetry C18 (150 x 4.6 mm, 3.5) column in isocratic mode. The detection was carried out using a mobile phase of 0.1 percent formic acid and 60:40 acetonitrile, and the detection was carried out using MS in a positive mode of electrospray ionisation. The valid approach was checked with a linear range of 10-200 ng/ml Ezetimibe and 2-40 ng/ml Pitavastain. The intraday and interday precision values were found to be within reasonable limits. The liquid extraction process is used to remove these drugs from rabbit plasma. And these drugs have been shown to be stable in freeze-thaw, autosampler, and benchtop tests in the future. The fluid chromatography coupled mass spectrometry strategy was approved by the US Food and Drug Administration for quantification of Ezetimibe and Pitavastain in rabbit plasma using D4–ezetimibe and D4–pitavastain as within norms using LC-MS consolidated with quadrupole spectrometer by electro shower ionisation process. The aim of this study is to evaluate the applicability of this approach to ezetimibe and pitavastain at different evaluation levels while taking into account various factors such as instrument stability, precision, and accuracy, sample preparation techniques, instrument calibration, recovery, and matrix effect by using Ezetimibe and Pitavastain, as well as their internal guidelines.

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