Literature DB >> 33670967

Formation and Validation of the Healthy Diet Index (HDI) for Evaluation of Diet Quality in Healthcare.

Jaana Lindström1, Kirsikka Aittola2, Auli Pölönen3, Katri Hemiö1, Kirsti Ahonen4, Leila Karhunen2, Reija Männikkö2,5, Ulla Siljamäki-Ojansuu4, Tanja Tilles-Tirkkonen2, Eeva Virtanen1, Jussi Pihlajamäki2,5, Ursula Schwab2,5.   

Abstract

Lack of tools to evaluate the quality of diet impedes dietary counselling in healthcare. We constructed a scoring for a validated food intake questionnaire, to measure the adherence to a healthy diet that prevents type 2 diabetes (T2D). The Healthy Diet Index (HDI) consists of seven weighted domains (meal pattern, grains, fruit and vegetables, fats, fish and meat, dairy, snacks and treats). We studied the correlations of the HDI with nutrient intakes calculated from 7-day food records among 52 men and 25 women, and associations of HDI with biomarkers and anthropometrics among 645 men and 2455 women. The HDI correlated inversely with total fat (Pearson's r = -0.37), saturated fat (r = -0.37), monounsaturated fat (r = -0.37), and the glycaemic index of diet (r = -0.32) and positively with carbohydrates (r = 0.23), protein (r = 0.25), fibre (r = 0.66), magnesium (r = 0.26), iron (r = 0.25), and vitamin D (r = 0.27), (p < 0.05 for all). In the linear regression model adjusted for BMI and age, HDI is associated inversely with waist circumference, concentrations of fasting and 2-h glucose and triglycerides in men and women, total and LDL cholesterol in women, and fasting insulin in men (p < 0.05 for all). The HDI proved to be a valid tool to measure adherence to a health-promoting diet and to support individualised dietary counselling.

Entities:  

Keywords:  chronic diseases; diet quality; evaluation; prevention; type 2 diabetes; validation

Mesh:

Year:  2021        PMID: 33670967      PMCID: PMC7967771          DOI: 10.3390/ijerph18052362

Source DB:  PubMed          Journal:  Int J Environ Res Public Health        ISSN: 1660-4601            Impact factor:   3.390


  56 in total

1.  Snacks as an element of energy intake and food consumption.

Authors:  M-L Ovaskainen; H Reinivuo; H Tapanainen; M-L Hannila; T Korhonen; H Pakkala
Journal:  Eur J Clin Nutr       Date:  2006-04       Impact factor: 4.016

2.  The diabetes risk score: a practical tool to predict type 2 diabetes risk.

Authors:  Jaana Lindström; Jaakko Tuomilehto
Journal:  Diabetes Care       Date:  2003-03       Impact factor: 19.112

3.  Legume consumption is inversely associated with type 2 diabetes incidence in adults: A prospective assessment from the PREDIMED study.

Authors:  Nerea Becerra-Tomás; Andrés Díaz-López; Núria Rosique-Esteban; Emilio Ros; Pilar Buil-Cosiales; Dolores Corella; Ramon Estruch; Montserrat Fitó; Lluís Serra-Majem; Fernando Arós; Rosa Maria Lamuela-Raventós; Miquel Fiol; José Manuel Santos-Lozano; Javier Díez-Espino; Olga Portoles; Jordi Salas-Salvadó
Journal:  Clin Nutr       Date:  2017-03-24       Impact factor: 7.324

4.  Improved lifestyle and decreased diabetes risk over 13 years: long-term follow-up of the randomised Finnish Diabetes Prevention Study (DPS).

Authors:  J Lindström; M Peltonen; J G Eriksson; P Ilanne-Parikka; S Aunola; S Keinänen-Kiukaanniemi; M Uusitupa; J Tuomilehto
Journal:  Diabetologia       Date:  2012-10-24       Impact factor: 10.122

Review 5.  Sugar-sweetened beverages and risk of metabolic syndrome and type 2 diabetes: a meta-analysis.

Authors:  Vasanti S Malik; Barry M Popkin; George A Bray; Jean-Pierre Després; Walter C Willett; Frank B Hu
Journal:  Diabetes Care       Date:  2010-08-06       Impact factor: 19.112

Review 6.  Understanding meal patterns: definitions, methodology and impact on nutrient intake and diet quality.

Authors:  Rebecca M Leech; Anthony Worsley; Anna Timperio; Sarah A McNaughton
Journal:  Nutr Res Rev       Date:  2015-03-19       Impact factor: 7.800

Review 7.  Food groups and risk of type 2 diabetes mellitus: a systematic review and meta-analysis of prospective studies.

Authors:  Lukas Schwingshackl; Georg Hoffmann; Anna-Maria Lampousi; Sven Knüppel; Khalid Iqbal; Carolina Schwedhelm; Angela Bechthold; Sabrina Schlesinger; Heiner Boeing
Journal:  Eur J Epidemiol       Date:  2017-04-10       Impact factor: 8.082

Review 8.  Fruit and vegetable intake and the risk of cardiovascular disease, total cancer and all-cause mortality-a systematic review and dose-response meta-analysis of prospective studies.

Authors:  Dagfinn Aune; Edward Giovannucci; Paolo Boffetta; Lars T Fadnes; NaNa Keum; Teresa Norat; Darren C Greenwood; Elio Riboli; Lars J Vatten; Serena Tonstad
Journal:  Int J Epidemiol       Date:  2017-06-01       Impact factor: 7.196

9.  Perspective: The Application of A Priori Diet Quality Scores to Cardiovascular Disease Risk-A Critical Evaluation of Current Scoring Systems.

Authors:  Ghadeer S Aljuraiban; Rachel Gibson; Linda M Oude Griep; Nagako Okuda; Lyn M Steffen; Linda Van Horn; Queenie Chan
Journal:  Adv Nutr       Date:  2020-01-01       Impact factor: 8.701

10.  A simple tool for diet evaluation in primary health care: validation of a 16-item food intake questionnaire.

Authors:  Katri Hemiö; Auli Pölönen; Kirsti Ahonen; Mikko Kosola; Katriina Viitasalo; Jaana Lindström
Journal:  Int J Environ Res Public Health       Date:  2014-03-04       Impact factor: 3.390

View more
  3 in total

1.  Enhanced Eating Competence Is Associated with Improved Diet Quality and Cardiometabolic Profile in Finnish Adults with Increased Risk of Type 2 Diabetes.

Authors:  Kirsikka Aittola; Leila Karhunen; Reija Männikkö; Elina Järvelä-Reijonen; Santtu Mikkonen; Pilvikki Absetz; Marjukka Kolehmainen; Ursula Schwab; Marja Harjumaa; Jaana Lindström; Timo Lakka; Tanja Tilles-Tirkkonen; Jussi Pihlajamäki
Journal:  Nutrients       Date:  2021-11-11       Impact factor: 5.717

2.  Digitally Supported Lifestyle Intervention to Prevent Type 2 Diabetes Through Healthy Habits: Secondary Analysis of Long-Term User Engagement Trajectories in a Randomized Controlled Trial.

Authors:  Piia Lavikainen; Elina Mattila; Pilvikki Absetz; Marja Harjumaa; Jaana Lindström; Elina Järvelä-Reijonen; Kirsikka Aittola; Reija Männikkö; Tanja Tilles-Tirkkonen; Niina Lintu; Timo Lakka; Mark van Gils; Jussi Pihlajamäki; Janne Martikainen
Journal:  J Med Internet Res       Date:  2022-02-24       Impact factor: 7.076

3.  Associations between weight loss history and factors related to type 2 diabetes risk in the Stop Diabetes study.

Authors:  F Halali; A Lapveteläinen; K Aittola; R Männikkö; T Tilles-Tirkkonen; E Järvelä-Reijonen; P Absetz; M Kolehmainen; U Schwab; J Lindström; T A Lakka; J Pihlajamäki; L Karhunen
Journal:  Int J Obes (Lond)       Date:  2022-01-12       Impact factor: 5.551

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.