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Use of the Healthy Eating Index in Intervention Studies for Cardiometabolic Risk Conditions: A Systematic Review.

ABSTRACT: Researchers and counselors need diet-assessment tools that characterize diet at baseline and over time in diet counseling and coaching interventions. Among possible tools, the Healthy Eating Index (HEI) is of interest in cardiometabolic treatment as it has undergone significant validation and development. The objective of this study was to systematically review relevant intervention studies using the HEI and its adaptations to examine whether diet interventions improve diet quality as measured by the HEI and the magnitude of change in included diet-quality scores following dietary intervention. Two databases [Cumulative Index to Nursing and Allied Health Literature (CINAHL) and PubMed] were searched for articles published from January 1995 to December 2019. The review included intervention studies in adults presenting with overweight/obesity and obesity-related chronic disease (metabolic syndrome, diabetes, prediabetes, hypertension, dyslipidemia) who received education or counseling, and the HEI was evaluated from baseline to follow-up (US or Canadian version) or Alternate HEI. Study quality was assessed using Cochrane risk of bias for randomized controlled trials (RCTs) or Cochrane Risk of Bias for Nonrandomized interventions (ROBINS-I). A total of 25 studies were included: 15 RCTs, 3 quasi-experimental studies, and 7 pre-post studies. Eight different versions of the HEI were used. Results demonstrated that diet quality assessed by HEI and its adaptations improved to a clinically relevant degree, especially in studies where multiple food behaviors/food-behavior goals were the focus and where an intensive, long-term intervention was compared with a no-treatment control group. There was wide variation in magnitude of change in included diet-quality indicators. Use of the HEI and its adaptations and other diet-quality tools is promising for better characterization of diet-counseling interventions and results when multiple food behaviors are a focus. Additional development is encouraged.

SUBMITTER: Brauer P

PROVIDER: S-EPMC8321868 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundAssociations between diet and cardiometabolic disease (CMD) risk may vary in men and women owing to sex differences in eating habits and physiology. The current secondary analysis sought to determine the ability of sex differences in dietary patterns to discriminate groups with or without CMD risk factors (CMDrf) in the adult population and if this was influenced by age.MethodsDiet patterns and quality were evaluated using 24 h recall-based Healthy Eating Index (HEI-2015) in free-living apparently healthy men (n = 184) and women (n = 209) 18-65 y of age with BMIs of 18-44 kg/m2. Participants were stratified into low- and high-CMDrf groups based on the presence/absence of at least one CMDrf: BMI > 25 kg/m2; fasting triglycerides > 150 mg/dL; HDL cholesterol < 50 mg/dL-women or < 40 mg/dL-men; HOMA > 2; HbA1c > 5.7. Sex by age dietary patterns were stratified by multivariate analyses, with metabolic variable associations established by stepwise discriminant analysis.ResultsDiet quality increased with age in both sexes (P < 0.01), while women showed higher fruit, vegetable and saturated fat intake as a percentage of total energy (P < 0.05). The total-HEI score (i.e. diet quality) was lower in the high-CMDrf group (P = 0.01), however, diet quality parameters predicted CMDrf presence more accurately when separated by sex. Lower 'total vegetable' intake in the high-CMDrf group in both sexes, while high-CMDrf men also had lower 'total vegetables', 'greens and beans' intake, and high-CMDrf women had lower 'total fruits', 'whole-fruits', 'total vegetables', 'seafood and plant-proteins', 'fatty acids', and 'saturated fats' intakes (P < 0.05). Moreover, 'dairy' intake was higher in high-CMDrf women but not in men (sex by 'dairy' interaction P = 0.01). Sex by age diet pattern models predicted CMDrf with a 93 and 89% sensitivity and 84 and 92% specificity in women and men, respectively.ConclusionsSex and age differences in dietary patterns classified participants with and without accepted CMDrfs, supporting an association between specific diet components and CMD risk that differs by sex. Including sex specific dietary patterns into health assessments may provide targeted nutritional guidance to reduce the burden of cardiovascular disease.Trial registrationClinicalTrials.gov : NCT02367287 . ClinicalTrials.gov : NCT02298725 .

Project description:BACKGROUND:Low adherence to dietary guidelines and a concurrent rise of obesity-related chronic diseases emphasize the need for effective interventions to promote healthy eating. There is growing recognition that behavior change interventions should draw on theories of behavior change. Online interventions grounded in theory lead to increased effectiveness for health behavior change; however, few theory-driven social media-based health promotion interventions have been described in the literature. OBJECTIVE:The objective of this study was to describe the application of the Intervention Mapping (IM) protocol to develop an evidence-informed blog to promote healthy eating among French-Canadian mothers of preschool and school-aged children. METHODS:The following six steps of the IM protocol were performed. In Step 1, a preliminary needs assessment included a literature search on theoretical domains predicting Vegetables and Fruits intakes and Milk and Alternatives intakes in adults (ie, knowledge, beliefs about capabilities, beliefs about consequences, intention/goals) and a qualitative study including focus groups to identify female Internet users' perceptions of their use of healthy eating blogs. In Step 2, two behavioral outcomes were selected (ie, increase daily intakes of Vegetables and Fruits and Milk and Alternatives of mothers to reach Canadian dietary recommendations) and subsequently divided into six performance objectives inspired by national and international dietary recommendations such as planning for healthy meals. A matrix of change objectives was then created by crossing performance objectives with theoretical domains predicting Vegetables and Fruits intakes and Milk and Alternatives intakes in adults. Step 3 consisted of selecting theory-based intervention methods (eg, modeling and goal setting) and translating them into practical applications for the context of a dietary intervention delivered through a blog. A 6-month intervention was developed in Step 4 in which we aimed to address one performance objective per month in weekly blog publications written by a registered dietitian. For Step 5, we sought to include engagement-promoting methods (eg, peer and counselor support) to promote mothers' use of the blog and adherence to the intervention. Finally in Step 6, a randomized controlled trial has been launched to evaluate the effects of the blog on dietary behaviors of French-Canadian mothers. RESULTS:The intervention study is expected to be completed in March 2018. CONCLUSIONS:An intervention mapping protocol allowed for effective decision making in the development of a novel knowledge translation tool to increase adherence to dietary recommendations among mothers of preschool and school-aged children.

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Use of the Healthy Eating Index in Intervention Studies for Cardiometabolic Risk Conditions: A Systematic Review.

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