Abstract An index that assesses the multidimensional components of the diet across the lifecycle is useful in describing diet quality. The purpose of this study was to use the Healthy Eating ...Index-2005, a measure of diet quality in terms of conformance to the 2005 Dietary Guidelines for Americans, to describe the diet quality of Americans by varying sociodemographic characteristics in order to provide insight as to where diets need to improve. The Healthy Eating Index-2005 scores were estimated using 1 day of dietary intake data provided by participants in the 2003-2004 National Health and Nutrition Examination Survey. Mean daily intakes of foods and nutrients, expressed per 1,000 kilocalories, were estimated using the population ratio method and compared with standards that reflect the 2005 Dietary Guidelines for Americans. Participants included 3,286 children (2 to 17 years), 3,690 young and middle-aged adults (18 to 64 years), and 1,296 older adults (65+ years). Results are reported as percentages of maximum scores and tested for significant differences ( P ≤0.05) by age, sex, race/ethnicity, income, and education levels. Children and older adults had better-quality diets than younger and middle-aged adults; women had better-quality diets than men; Hispanics had better-quality diets than blacks and whites; and diet quality of adults, but not children, generally improved with income level, except for sodium. The diets of Americans, regardless of socioeconomic status, are far from optimal. Problematic dietary patterns were found among all sociodemographic groups. Major improvements in the nutritional health of the American public can be made by improving eating patterns.
Update of the Healthy Eating Index: HEI-2010 Guenther, Patricia M., PhD, RD; Casavale, Kellie O., PhD, RD; Reedy, Jill, PhD, RD ...
Journal of the Academy of Nutrition and Dietetics,
04/2013, Letnik:
113, Številka:
4
Journal Article
Recenzirano
Odprti dostop
Abstract The Healthy Eating Index (HEI) is a measure of diet quality in terms of conformance with federal dietary guidance. Publication of the 2010 Dietary Guidelines for Americans prompted an ...interagency working group to update the HEI. The HEI-2010 retains several features of the 2005 version: (a) it has 12 components, many unchanged, including nine adequacy and three moderation components; (b) it uses a density approach to set standards, eg, per 1,000 calories or as a percentage of calories; and (c) it employs least-restrictive standards; ie, those that are easiest to achieve among recommendations that vary by energy level, sex, and/or age. Changes to the index include: (a) the Greens and Beans component replaces Dark Green and Orange Vegetables and Legumes; (b) Seafood and Plant Proteins has been added to capture specific choices from the protein group; (c) Fatty Acids, a ratio of polyunsaturated and monounsaturated to saturated fatty acids, replaces Oils and Saturated Fat to acknowledge the recommendation to replace saturated fat with monounsaturated and polyunsaturated fatty acids; and (d) a moderation component, Refined Grains, replaces the adequacy component, Total Grains, to assess overconsumption. The HEI-2010 captures the key recommendations of the 2010 Dietary Guidelines and, like earlier versions, will be used to assess the diet quality of the US population and subpopulations, evaluate interventions, research dietary patterns, and evaluate various aspects of the food environment.
Recent reports have asserted that, because of energy underreporting, dietary self-report data suffer from measurement error so great that findings that rely on them are of no value. This commentary ...considers the amassed evidence that shows that self-report dietary intake data can successfully be used to inform dietary guidance and public health policy. Topics discussed include what is known and what can be done about the measurement error inherent in data collected by using self-report dietary assessment instruments and the extent and magnitude of underreporting energy compared with other nutrients and food groups. Also discussed is the overall impact of energy underreporting on dietary surveillance and nutritional epidemiology. In conclusion, 7 specific recommendations for collecting, analyzing, and interpreting self-report dietary data are provided: (1) continue to collect self-report dietary intake data because they contain valuable, rich, and critical information about foods and beverages consumed by populations that can be used to inform nutrition policy and assess diet-disease associations; (2) do not use self-reported energy intake as a measure of true energy intake; (3) do use self-reported energy intake for energy adjustment of other self-reported dietary constituents to improve risk estimation in studies of diet-health associations; (4) acknowledge the limitations of self-report dietary data and analyze and interpret them appropriately; (5) design studies and conduct analyses that allow adjustment for measurement error; (6) design new epidemiologic studies to collect dietary data from both short-term (recalls or food records) and long-term (food-frequency questionnaires) instruments on the entire study population to allow for maximizing the strengths of each instrument; and (7) continue to develop, evaluate, and further expand methods of dietary assessment, including dietary biomarkers and methods using new technologies.
The Healthy Eating Index (HEI), a measure of diet quality, was updated to reflect the 2010 Dietary Guidelines for Americans and the accompanying USDA Food Patterns. To assess the validity and ...reliability of the HEI-2010, exemplary menus were scored and 2 24-h dietary recalls from individuals aged ≥2 y from the 2003-2004 NHANES were used to estimate multivariate usual intake distributions and assess whether the HEI-2010 1) has a distribution wide enough to detect meaningful differences in diet quality among individuals, 2) distinguishes between groups with known differences in diet quality by using t tests, 3) measures diet quality independently of energy intake by using Pearson correlation coefficients, 4) has >1 underlying dimension by using principal components analysis (PCA), and 5) is internally consistent by calculating Cronbach's coefficient α. HEI-2010 scores were at or near the maximum levels for the exemplary menus. The distribution of scores among the population was wide (5th percentile = 31.7; 95th percentile = 70.4). As predicted, men's diet quality (mean HEI-2010 total score = 49.8) was poorer than women's (52.7), younger adults' diet quality (45.4) was poorer than older adults' (56.1), and smokers' diet quality (45.7) was poorer than nonsmokers' (53.3) (P < 0.01). Low correlations with energy were observed for HEI-2010 total and component scores (|r| ≤ 0.21). Cronbach's coefficient α was 0.68, supporting the reliability of the HEI-2010 total score as an indicator of overall diet quality. Nonetheless, PCA indicated multiple underlying dimensions, highlighting the fact that the component scores are equally as important as the total. A comparable reevaluation of the HEI-2005 yielded similar results. This study supports the validity and the reliability of both versions of the HEI.
The objective of this study was to estimate the prevalence of use and types of dietary supplements (DS) used by U.S. adults (≥19 years) by sociodemographic characteristics: family income-to-poverty ...ratio (PIR), food security status, and Supplemental Nutrition Assistance Program (SNAP) participation using NHANES 2011⁻2014 data (
= 11,024). DS use was ascertained via a home inventory and a retrospective 30-day questionnaire. Demographic and socioeconomic differences related to DS use were evaluated using a univariate
statistic. Half of U.S. adults (52%) took at least one DS during a 30-day period; multivitamin-mineral (MVM) products were the most commonly used (31%). DS and MVM use was significantly higher among those with a household income of ≥ 350% of the poverty level, those who were food secure, and SNAP income-ineligible nonparticipants across all sex, age, and race/ethnic groups. Among women, prevalence of use significantly differed between SNAP participants (39%) and SNAP income-eligible nonparticipants (54%). Older adults (71+ years) remained the highest consumers of DS, specifically among the highest income group (82%), while younger adults (19⁻30 years), predominantly in the lowest income group (28%), were the lowest consumers. Among U.S. adults, DS use and the types of products consumed varied with income, food security, and SNAP participation.
Abstract Background Social support has been associated with physical and mental health; however, the relationship between social support and diet quality is not well understood. Objective The purpose ...of this research was to assess the relationship between social support and overall diet quality among US adults. Design/participants This study was a secondary analysis of data from adults aged 40 years and older who participated in the cross-sectional 2007-2008 National Health and Nutrition Examination Survey (N=3,243). Main outcome measures Social support was determined by a modification of the Rees Social Support Index (SSI), which is the sum of five dichotomized variables addressing emotional support, financial support, marital status, close friends, and religious service attendance. Overall diet quality was measured by the Healthy Eating Index-2010 (HEI-2010) and calculated from the mean of two 24-hour dietary recalls. Statistical analyses performed SAS survey procedures were used to incorporate the appropriate sample design weights. Unweighted frequencies are reported along with weighted means and standard errors (SE). Multivariable linear regression was used to compare the total HEI-2010 scores among the six SSI groups with additional models controlling for sex, age, race/ethnicity, income level, and education level, and stratifying by sex. Results In an unadjusted model, the mean total HEI-2010 score for those with an SSI score of 0 (n=37) was 50.0 (SE=2.83) compared to 57.1 (SE=0.89) for those with SSI score of 5 (n=676) ( P <0.0001). The results were no longer statistically significant when adjusted for age, sex, race/ethnicity, income, and education level ( P =0.14). However, when stratified by sex and adjusted for other demographics, higher SSI scores were associated with higher HEI-2010 scores compared to lower SSI scores in men ( P =0.02), but there was no significant difference among SSI scores and HEI-2010 scores in women ( P =0.43). Conclusions This study suggests a positive relationship between social support and overall diet quality among middle-aged and older men, but not women, in the United States.
A longstanding goal of dietary surveillance has been to estimate the proportion of the population with intakes above or below a target, such as a recommended level of intake. However, until now, ...statistical methods for assessing the alignment of food intakes with recommendations have been lacking. The purposes of this study were to demonstrate the National Cancer Institute's method of estimating the distribution of usual intake of foods and determine the proportion of the U.S. population who does not meet federal dietary recommendations. Data were obtained from the 2001-2004 NHANES for 16,338 persons, aged 2 y and older. Quantities of foods reported on 24-h recalls were translated into amounts of various food groups using the MyPyramid Equivalents Database. Usual dietary intake distributions were modeled, accounting for sequence effect, weekend/weekday effect, sex, age, poverty income ratio, and race/ethnicity. The majority of the population did not meet recommendations for all of the nutrient-rich food groups, except total grains and meat and beans. Concomitantly, overconsumption of energy from solid fats, added sugars, and alcoholic beverages ("empty calories") was ubiquitous. Over 80% of persons age ≥71 y and over 90% of all other sex-age groups had intakes of empty calories that exceeded the discretionary calorie allowances. In conclusion, nearly the entire U.S. population consumes a diet that is not on par with recommendations. These findings add another piece to the rather disturbing picture that is emerging of a nation's diet in crisis.
To estimate the prevalence of use and the micronutrient contribution of dietary supplements among pregnant, lactating, and nonpregnant and nonlactating women in the United States.
Cross-sectional ...data from 1,314 pregnant, 297 lactating, and 8,096 nonpregnant and nonlactating women (aged 20-44 years) in the 1999-2014 National Health and Nutrition Examination Survey were combined to produce statistically reliable, nationally representative estimates. Information about dietary supplements used in the past 30 days was collected through an interviewer-administered questionnaire and in-home inventory. The prevalence of nutrient-specific supplement use, mean daily nutrient intakes from supplements among users, and motivations for supplement use were assessed. Differences by age, income, and trimester within pregnant women were also tested.
Seventy-seven percent of pregnant women and 70% of lactating women used one or more dietary supplements, whereas 45% of nonpregnant and nonlactating women used supplements. In particular, 64% of pregnant and 54% of lactating women used prenatal supplements. Mean intakes of thiamin, riboflavin, niacin, folic acid, vitamins B6, B12, and C, iron, and zinc from supplements alone were at or above their respective recommended dietary allowances (RDAs) among pregnant and lactating supplement users. About half of pregnant and 40% of lactating women took supplements based on the recommendation of a health care provider. Among pregnant women, those in their first trimester, aged 20-34 years, or in a lower-income family were less likely to use supplements compared with their counterparts.
The majority of pregnant and lactating women used dietary supplements, which contributed many nutrients in doses above the RDAs. Although inadequate Intakes of folate and iron are of concern among pregnant women who are not using supplements, supplement users often consumed high doses, suggesting a potential need of health care providers to discuss dietary supplement use and the recommended doses of nutrients during pregnancy and lactation.
The multispecies analysis of daily air samples collected at the NOAA Boulder Atmospheric Observatory (BAO) in Weld County in northeastern Colorado since 2007 shows highly correlated alkane ...enhancements caused by a regionally distributed mix of sources in the Denver‐Julesburg Basin. To further characterize the emissions of methane and non‐methane hydrocarbons (propane, n‐butane, i‐pentane, n‐pentane and benzene) around BAO, a pilot study involving automobile‐based surveys was carried out during the summer of 2008. A mix of venting emissions (leaks) of raw natural gas and flashing emissions from condensate storage tanks can explain the alkane ratios we observe in air masses impacted by oil and gas operations in northeastern Colorado. Using the WRAP Phase III inventory of total volatile organic compound (VOC) emissions from oil and gas exploration, production and processing, together with flashing and venting emission speciation profiles provided by State agencies or the oil and gas industry, we derive a range of bottom‐up speciated emissions for Weld County in 2008. We use the observed ambient molar ratios and flashing and venting emissions data to calculate top‐down scenarios for the amount of natural gas leaked to the atmosphere and the associated methane and non‐methane emissions. Our analysis suggests that the emissions of the species we measured are most likely underestimated in current inventories and that the uncertainties attached to these estimates can be as high as a factor of two.
Key Points
Emissions from oil and gas operations in the Denver Julesburg Basin
Multispecies observations are used to interpret CH4 variability in NE Colorado
Atmospheric observations are used to evaluate bottom‐up inventories
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