Dataset Information

More frequent cooking at home is associated with higher Healthy Eating Index-2015 score.

ABSTRACT:

Objective

To examine the association between cooking frequency and Healthy Eating Index (HEI)-2015, overall and by income, among US adults.

Design

Cross-sectional analysis using multivariable linear regression models to examine the association between cooking frequency and total HEI-2015 score adjusted for sociodemographic variables, overall and stratified by income.

Setting

Nationally representative survey data from the USA.

Participants

Adults aged ≥20 years (with 2 d of 24 h dietary recall data) obtained from the 2007 to 2010 National Health and Nutrition Examination Survey (n 8668).

Results

Compared with cooking dinner 0-2 times/week, greater cooking frequency was associated with higher HEI-2015 score overall (≥7 times/week: +3·57 points, P < 0·001), among lower-income adults (≥7 times/week: +2·55 points, P = 0·001) and among higher-income adults (≥7 times/week: +5·07 points, P < 0·001). Overall, total HEI-2015 score was higher among adults living in households where dinner was cooked ≥7 times/week (54·54 points) compared with adults living in households where dinner was cooked 0-2 times/week (50·57 points). In households in which dinner was cooked ≥7 times/week, total HEI-2015 score differed significantly based on income status (lower-income: 52·51 points; higher-income: 57·35 points; P = 0·003). Cooking frequency was associated with significant differences in HEI-2015 component scores, but associations varied by income.

Conclusions

More frequent cooking at home is associated with better diet quality overall and among lower- and higher-income adults, although the association between cooking and better diet quality is stronger among high-income adults. Strategies are needed to help lower-income Americans consume a healthy diet regardless of how frequently they cook at home.

SUBMITTER: Wolfson JA

PROVIDER: S-EPMC11374573 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

More frequent cooking at home is associated with higher Healthy Eating Index-2015 score.

Wolfson Julia A JA Leung Cindy W CW Richardson Caroline R CR

Public health nutrition 20200110 13

<h4>Objective</h4>To examine the association between cooking frequency and Healthy Eating Index (HEI)-2015, overall and by income, among US adults.<h4>Design</h4>Cross-sectional analysis using multivariable linear regression models to examine the association between cooking frequency and total HEI-2015 score adjusted for sociodemographic variables, overall and stratified by income.<h4>Setting</h4>Nationally representative survey data from the USA.<h4>Participants</h4>Adults aged ≥20 years (with ...[more]

PMID: 31918785

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Project description:AimsTo evaluate the relationship of the healthy eating index-2015 (HEI-2015) with abdominal aortic calcification (AAC) in US adults.MethodsWe conducted a cross-sectional study with data extracted from the National Health and Nutrition Examination Survey (NHANES). AAC score was measured using the scoring system of Kauppila (AAC-24) and Schousboe (AAC-8). HEI-2015, which was used for evaluating compliance with Dietary Guidelines for Americans (DGA), was calculated through two rounds of 24-h recall interviews. HEI-2015 was categorized as inadequate (<50), average (50~70), and optimal (≥70) groups for analysis, while the AAC-24 score was grouped by whether the score was >0. Weighted multiple regression analyses were conducted to estimate the association of HEI-2015 with AAC score and the presence of AAC. Moreover, smooth curve fittings, based on a generalized additive model (GAM), were applied to evaluate a possible non-linear relationship. Sensitivity analysis and subgroup analysis were performed to provide more supporting information.ResultsA total of 2,704 participants were included in the study (mean age, 57.61 ± 11.40 years; 51.78% were women). The mean score of HEI-2015 was 56.09 ± 13.40 (41.33 ± 6.28, 59.44 ± 5.54, and 76.90 ± 5.37 for inadequate, average, and optimal groups, respectively). After adjusting for covariates, higher HEI-2015 was associated with decreased AAC score (AAC-24: β = -0.121, 95% CI: -0.214, -0.028, P = 0.010; AAC-8: β= -0.054, 95% CI: -0.088, -0.019, P = 0.003) and lower risk of AAC (OR = 0.921, 95% CI: 0.855, 0.993, P = 0.031). Among the components of HEI-2015, a higher intake of fruits, greens, and beans was associated with a lower AAC score. Subgroup analysis showed that an inverse association of HEI-2015 with AAC score existed among different groups.ConclusionThe study presented that higher HEI-2015 was related to a lower AAC score and decreased risk of having AAC, indicating that greater compliance with 2015-2020 DGA, assessed by HEI-2015, might be beneficial for preventing vascular calcification and CVD among US adults.

Project description:BackgroundPrevious studies have suggested a significant association between diet quality and mental health. However, a limited number of studies have utilized the Prime Diet Quality Score (PDQS) to examine this association. Additionally, no study has yet compared the PDQS and Healthy Eating Index-2015 (HEI-2015) in terms of their association with depression and anxiety.AimThis cross-sectional study aimed to investigate the association between diet quality, measured by the PDQS and HEI-2015, and the odds of depression and anxiety in adults.MethodsThis study utilized data from the LIPOKAP study, which was conducted between February 2018 and July 2019 in five cities in Iran. We included 1994 adults aged 18 and above who were selected through a multistage cluster sampling method. Participants completed a validated semiquantitative food frequency questionnaire (FFQ) to evaluate their dietary intake. The FFQ was used to calculate the PDQS and HEI-2015. Depression and anxiety levels were determined using the Hospital Anxiety and Depression Scale (HADS).ResultsThe participants had a mean age of 39.79 ± 13.87 years, with females accounting for 1,041 (52.2%) of the total population. PDQS showed a significant inverse association with the odds of depression (OR = 0.45, 95% CI: 0.28-0.71) and anxiety (OR = 0.40, 95% CI: 0.25-0.62) in the fully adjusted model. Similarly, the highest quartile of HEI-2015 showed a significantly lower odds of depression (OR = 0.60, 95% CI: 0.40-0.90) and anxiety (OR = 0.62, 95% CI: 0.42-0.92) compared to the lowest quartile.ConclusionBoth PDQS and HEI-2015 were associated with a reduced risk of depression and anxiety. However, the PDQS demonstrated a stronger inverse association with these risks compared to the HEI-2015. This suggests that the PDQS could be a more beneficial dietary pattern for preventing depression and anxiety compared to HEI-2015. Further large-scale studies are required to confirm these findings.

Project description:This study aims to investigate the relationship between the healthy eating index (HEI) and the prevalence of stroke within a diverse United States population. Employing a cross-sectional design, we utilized data sourced from the National Health and Nutrition Examination Survey (NHANES). Dietary information was collected from participants and HEI scores were computed. NHANES employed stratified multistage probability sampling, with subsequent weighted analysis following NHANES analytical guidelines. Thorough comparisons were made regarding the baseline characteristics of individuals with and without stroke. Weighted multivariable logistic regression analysis and restricted cubic spline (RCS) methods were employed to ascertain the association between stroke risk and HEI, with LASSO regression utilized to identify dietary factors most closely linked to stroke risk. Additionally, we constructed a nomogram model incorporating key dietary factors and assessed its discriminatory capability using the receiver operating characteristic (ROC) curve. Our study encompassed 43,978 participants, representing an estimated 201 million U.S. residents. Participants with a history of stroke exhibited lower HEI scores than their non-stroke counterparts. Logistic regression analysis demonstrated a robust association between lower HEI scores and stroke, even after adjusting for confounding variables. RCS analysis indicated a nonlinear negative correlation between HEI and stroke risk. Furthermore, detailed subgroup analysis revealed a significant gender-based disparity in the impact of dietary quality on stroke risk, with females potentially benefiting more from dietary quality improvements. Sensitivity analysis using unweighted logistic regression yielded results consistent with our primary analysis. The nomogram model, based on key dietary factors identified through LASSO regression, demonstrated favorable discriminatory power, with an area under the curve (AUC) of 79.3% (95% CI 78.4-81.2%). Our findings suggest that higher HEI scores are inversely related to the risk of stroke, with potential greater benefits for women through dietary quality enhancement. These results underscore the importance of improving dietary quality for enhanced stroke prevention and treatment.

Project description:BackgroundMetabolic syndrome is a cluster of metabolic disorders, including obesity, hypertension, hyperglycemia, and abnormal lipid levels. However, researches on the association between overall dietary quality measured by the Healthy Eating Index-2015 (HEI-2015) and the risk of metabolic syndrome is still lacking.MethodsThis study utilized data from four cycles (2011-2018) of the National Health and Nutrition Examination Survey (NHANES) database, including 17,582 participants. Logistic regression analysis was employed to explore the correlation between HEI and the risk of metabolic syndrome. Additionally, mediation analysis was conducted to examine the effects of Systemic Immune-Inflammation Index (SII) and serum uric acid as potential mediators between HEI and metabolic syndrome risk. Weighted quantile sum (WQS) regression evaluated the composite exposure impact of the 13 components of the HEI on metabolic syndrome, as well as the proportion of their weights.ResultsHigher dietary quality measured by HEI-2015 (at the 75th percentile) was negatively correlated with the risk of metabolic syndrome (OR=0.80, 95%CI=0.72-0.89, P=0.003). Higher SII and serum uric acid levels were identified as risk factors for metabolic syndrome (P for trend<0.001). Approximately 37.5% of the effect of HEI on metabolic syndrome occurrence was mediated by SII (Indirect effect=-0.002, 95%CI (-0.003,-0.001), Direct effect=-0.022, 95%CI (-0.0273,-0.015)). Additionally, 25% of the effect of HEI on metabolic syndrome occurrence was mediated by serum uric acid levels (Indirect effect=-0.006, 95%CI (-0.010,-0.012), Direct effect=-0.024, 95%CI (-0.041,-0.009)). WQS regression analysis revealed the highest weighted proportions for seafood and plant proteins (25.20%) and sodium (17.79%), while the weight for whole fruit was the lowest (0.25%).ConclusionBetter dietary quality measured by HEI-2015 was associated with a lower likelihood of metabolic syndrome. Higher SII and serum uric acid levels were identified as risk factors for metabolic syndrome and potential mediators.

Dataset Information

More frequent cooking at home is associated with higher Healthy Eating Index-2015 score.

Objective

Design

Setting

Participants

Results

Conclusions

Publications

More frequent cooking at home is associated with higher Healthy Eating Index-2015 score.

Similar Datasets

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