Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 39

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

KIDMED 2.0, An update of the KIDMED questionnaire: Evaluation of the psychometric properties in youth

López-Gajardo, Miguel A., Leo, Francisco M., Sánchez-Miguel, Pedro Antonio, López-Gajardo, Dori, Soulas, Candelaria, Tapia-Serrano, Miguel A.·2022·Frontiers in Nutrition
DOI 10.3389/fnut.2022.945721
Open this paper in CoChat — free account

Abstract

Background and aims: As children and adolescents' eating patterns have changed over the last few years, researchers have found inconsistencies in the current questionnaires. Therefore, this research aims to (i) update the 2019 KIDMED questionnaire; and (ii) test the psychometric properties of this new questionnaire. Method: A study with 419 children and adolescents in southwestern Spain was conducted in 2021. The new version of the KIDMED 2.0 was tested, which measures adherence to the Mediterranean diet through 16 items, of which 12 are positive, and 4 are negative. Content validation involved consultation with nutritionists, experts, and adolescents to assess whether the questionnaire was reliable and valid regarding dietary patterns associated with the Mediterranean diet. The expert assessment provided content validity indices for the clarity and representativeness of the questionnaire. Construct validity and test-retest reliability involved 419 students ( M age = 14.40 ± 2.00) from southwestern Spain. Students responded twice (one week apart) to the KIDMED developed in the previous stage and completed a 7-day dietary record. Results: Regarding validity, results show a moderate agreement for 10 items (ranging between 0.21 and 0.47) of the KIDMED and the 7-day dietary record. Concerning Items 3, 4, 5, and 6, the agreement was slight (ranging between 0.08 and 0.17), whereas the agreement for Item 8 was low. Cohen's kappa showed that most items had moderate to substantial test-retest reliability. Also, kappa showed significant test-retest values for all items ( p < 0.001). Conclusion: The new version of the KIDMED 2.0 was shown to be a reliable and valid instrument to measure adherence to the Mediterranean diet in children and adolescents.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3389/fnut.2022.945721

Cites

5 of 5 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 5 references

Research works printed but not linked: 61

  1. Cabrera, 2015, KIDMED test; prevalence of low adherence to the Mediterranean Diet in children and young; a systematic review, Nutr Hosp., 32, 2390, 10.3305/nh.2015.32.6.9828 · DOI
  2. Serra-Majem, 2018, The Mediterranean diet as an example of food and nutrition sustainability: a multidisciplinary approach, Nutrición Hospitalaria., 35, 96, 10.20960/nh.2133 · DOI
  3. Donini, 2015, The Mediterranean diet: culture, health and science, Br J Nutr., 113, S1, 10.1017/S0007114515001087 · DOI
  4. Altavilla, 2020, Spanish update of the Kidmed questionnaire, a mediterranean diet quality index in children and adolescents, Rev Esp Salud Publica, 94, e202006057
  5. Altavilla, 2019, An update of the KIDMED questionnaire, a Mediterranean Diet Quality Index in children and adolescents, Public Health Nutr., 22, 2543, 10.1017/S1368980019001058 · DOI
  6. Garrido-Miguel, 2019, Prevalence and trends of overweight and obesity in European children from 1999 to 2016, JAMA Pediatr., 173, e192430, 10.1001/jamapediatrics.2019.2430 · DOI · Paper page
  7. Serra-Majem, 2004, Food, youth and the Mediterranean diet in Spain. Development of KIDMED, Mediterranean Diet Quality Index in children and adolescents, Public Health Nutr., 7, 931, 10.1079/PHN2004556 · DOI · Paper page
  8. Iaccarino-Idelson, 2017, Adherence to the Mediterranean Diet in children and adolescents: a systematic review, Nutr Metabol Cardiovasc Dis., 27, 283, 10.1016/j.numecd.2017.01.002 · DOI · Paper page
  9. Aparicio-Ugarriza, 2019, Relative validation of the adapted Mediterranean Diet Score for Adolescents by comparison with nutritional biomarkers and nutrient and food intakes: the Healthy Lifestyle in Europe by Nutrition in Adolescence (HELENA) study, Public Health Nutr., 22, 2381, 10.1017/S1368980019001022 · DOI
  10. Novak, 2017, Mediterranean Diet and its correlates among adolescents in non-Mediterranean European countries: a population-based study, Nutrients., 9, 177, 10.3390/nu9020177 · DOI
  11. Kontogianni, 2010, Associations between lifestyle patterns and body mass index in a sample of Greek Children and adolescents, J Am Diet Assoc., 110, 215, 10.1016/j.jada.2009.10.035 · DOI
  12. Vassiloudis, 2014, Academic performance in relation to adherence to the Mediterranean diet and energy balance behaviors in Greek primary schoolchildren, J Nutr Educ Behav., 46, 164, 10.1016/j.jneb.2013.11.001 · DOI · Paper page
  13. Tambalis, 2018, Current data in Greek children indicate decreasing trends of obesity in the transition from childhood to adolescence; results from the National Action for Children's Health (EYZHN) program, J Prev Med Hyg., 59, E36, 10.15167/2421-4248/jpmh2018.59.1.797 · DOI
  14. Peng, 2017, Demographic and lifestyle factors associated with adherence to the Mediterranean diet in relation to overweight/obesity among Israeli adolescents: findings from the Mabat Israeli national youth health and nutrition survey, Public Health Nutr., 20, 883, 10.1017/S1368980016002779 · DOI
  15. Grassi, 2019, Adherence to Mediterranean diet of children living in small Southern Italian villages, Int J Food Sci Nutr., 71, 490, 10.1080/09637486.2019.1679725 · DOI
  16. Mistretta, 2017, Mediterranean diet adherence and body composition among Southern Italian adolescents, Obes Res Clin Pract., 11, 215, 10.1016/j.orcp.2016.05.007 · DOI
  17. Santomauro, 2014, Adherence to Mediterranean diet in a sample of Tuscan adolescents, Nutrition., 30, 1379, 10.1016/j.nut.2014.04.008 · DOI
  18. Mounayar, 2019, Breakfast intake and factors associated with adherence to the Mediterranean diet among Lebanese high school adolescents, J Nutr Metabol., 2019, 2714286, 10.1155/2019/2714286 · DOI
  19. Leal, 2011, Relationship between cooking habits and skills and Mediterranean diet in a sample of Portuguese adolescents, Perspect Public Health., 131, 283, 10.1177/1757913911419909 · DOI
  20. Rei, 2021, Reproducibility and validity of the Mediterranean Diet Quality Index (KIDMED Index) in a sample of Portuguese adolescents, Br J Nutr., 126, 1737, 10.1017/S0007114521000532 · DOI
  21. Rito, 2018, Mediterranean Diet Index (KIDMED) adherence, socioeconomic determinants, and nutritional status of Portuguese children: the eat Mediterranean program, Port J Public Health., 36, 141, 10.1159/000495803 · DOI
  22. Arcila-Agudelo, 2019, Determinants of adherence to healthy eating patterns in a population of children and adolescents: evidence on the Mediterranean diet in the city of Mataró (Catalonia, Spain), Nutrients., 11, 854, 10.3390/nu11040854 · DOI
  23. Galan-Lopez, 2019, Mediterranean diet, physical fitness and body composition in sevillian adolescents: a healthy lifestyle, Nutrients., 11, 2009, 10.3390/nu11092009 · DOI
  24. Morales-Suárez-Varela, 2021, Maternal physical activity during pregnancy and the effect on the mother and newborn: a systematic review, J Phys Activity Health., 18, 130, 10.1123/jpah.2019-0348 · DOI
  25. Tapia-Serrano, 2021, Adherencia a la dieta mediterránea e importancia de la actividad física y el tiempo de pantalla en los adolescentes extremeños de enseñanza secundaria, Nutr Hosp., 38, 236, 10.20960/nh.03372 · DOI
  26. Sahingoz, 2011, Compliance with Mediterranean Diet Quality Index (KIDMED) and nutrition knowledge levels in adolescents. A case study from Turkey, Appetite., 57, 272, 10.1016/j.appet.2011.05.307 · DOI
  27. Cakir, 2016, Association between adherence to the Mediterranean diet and presence of nonalcoholic fatty liver disease in children, Child Obes., 12, 279, 10.1089/chi.2015.0197 · DOI
  28. Apaydin Kaya, 2021, The Turkish version of the Mediterranean diet quality index (KIDMED), TJFMPC., 15, 341, 10.21763/tjfmpc.836560 · DOI
  29. Simon, 2020, Translation and cultural adaptation of the Mediterranean diet quality index in children and adolescents, Rev Paul Pediat., 38, e2018242, 10.1590/1984-0462/2020/38/2018242 · DOI
  30. Garcia-Hermoso, 2019, Independent and combined effects of handgrip strength and adherence to a Mediterranean diet on blood pressure in Chilean children, Nutrition., 60, 170, 10.1016/j.nut.2018.08.019 · DOI
  31. Carrillo, 2020, Adherencia a la dieta mediterránea en una población escolar colombiana: evaluación de las propiedades psicométricas del cuestionario KIDMED, Nutricion hospitalaria., 37, 73, 10.20960/nh.02760 · DOI
  32. Lazarou, 2010, Physical activity mediates the protective effect of the Mediterranean diet on children's obesity status: the CYKIDS study, Nutrition., 26, 61, 10.1016/j.nut.2009.05.014 · DOI
  33. Galan-Lopez, 2019, Evaluation of physical fitness, body composition, and adherence to Mediterranean diet in adolescents from Estonia: the AdolesHealth study, Int J Environ Res Public Health., 16, 4479, 10.3390/ijerph16224479 · DOI
  34. Eloranta, 2016, Dietary quality indices in relation to cardiometabolic risk among Finnish children aged 6–8 years – The PANIC study, Nutr Metabol Cardiovasc Dis., 26, 833, 10.1016/j.numecd.2016.05.005 · DOI
  35. Kim, 2020, Mediterranean diet adherence and metabolic syndrome in US adolescents, Int J Food Sci Nutr., 72, 537, 10.1080/09637486.2020.1840533 · DOI
  36. Jennings, 2011, Diet quality is independently associated with weight status in children aged 9–10 years, J Nutr., 141, 453, 10.3945/jn.110.131441 · DOI
  37. Martin-Calvo, 2016, Adherence to the Mediterranean dietary pattern and BMI change among US adolescents, Int J Obes., 40, 1103, 10.1038/ijo.2016.59 · DOI
  38. Gehlbach, 2011, Measure twice, cut down error: a process for enhancing the validity of survey scales, Rev Gen Psychol., 15, 380, 10.1037/a0025704 · DOI · Paper page
  39. Dunn, 1999, Assessing item content-relevance in sport psychology scale-construction research: Issues and recommendations, Meas Phys Educ Exerc Sci., 3, 15, 10.1207/s15327841mpee0301_2 · DOI
  40. Sparkes, 2014, Qualitative research methods in sport, exercise and health: From process to product.
  41. Suchindran, 2014, Sample size sample size, Sampling and Choosing Cases in Qualitative Research: A Realist Approach., 2
  42. Ortega, 2015, Dietary assessment methods: dietary records, Nutr Hosp., 31, 38, 10.3305/nh.2015.31.sup3.8749 · DOI · Paper page
  43. Štefan, 2017, The reliability of the mediterranean diet quality index (KIDMED) questionnaire, Nutrients., 9, 419, 10.3390/nu9040419 · DOI
  44. Landis, 1977, The measurement of observer agreement for categorical data, Biometrics., 33, 159, 10.2307/2529310 · DOI · Paper page
  45. Vereecken, 2015, Fruit and vegetable consumption trends among adolescents from 2002 to 2010 in 33 countries, Eur J Public Health., 25, 16, 10.1093/eurpub/ckv012 · DOI
  46. Wang, 2016, Higher intake of fruits, vegetables or their fiber reduces the risk of type 2 diabetes: a meta-analysis, J Diabetes Investig., 7, 56, 10.1111/jdi.12376 · DOI · Paper page
  47. Darfour-Oduro, 2018, A comparative study of fruit and vegetable consumption and physical activity among adolescents in 49 Low-and-Middle-Income Countries OPEN, Sci Rep., 8, 1623, 10.1038/s41598-018-19956-0 · DOI
  48. Wojcicki, 2012, Reducing childhood obesity by eliminating 100% fruit juice, Am J Public Health., 102, 1630, 10.2105/AJPH.2012.300719 · DOI
  49. Martinez-Gonzalez, 2016, Mediterranean diet and life expectancy; beyond olive oil, fruits, and vegetables, Curr Opin Clin Nutr Metab Care., 19, 401, 10.1097/MCO.0000000000000316 · DOI
  50. Hoffman, 2013, Evaluating and adapting the Mediterranean diet for non-Mediterranean populations: a critical appraisal, Nutr Rev., 71, 573, 10.1111/nure.12040 · DOI
  51. Martínez-Lapiscina, 2013, Mediterranean diet improves cognition: the PREDIMED-NAVARRA randomised trial Cardiovascular Risk and aging View project, J Neurol., 10.1136/jnnp-2012-304792 · DOI · Paper page
  52. Bielemann, 2015, Consumption of ultra-processed foods and their impact on the diet of young adults, Rev Saúde Pública., 49, 1, 10.1590/S0034-8910.2015049005572 · DOI
  53. Askari, 2020, Ultra-processed food and the risk of overweight and obesity: a systematic review and meta-analysis of observational studies, Int J Obes., 44, 2080, 10.1038/s41366-020-00650-z · DOI · Paper page
  54. Mocciaro, 2018, Does a Mediterranean-type dietary pattern exert a cardio-protective effect outside the Mediterranean region? A review of current evidence, Int J Food Sci Nutr., 69, 524, 10.1080/09637486.2017.1391752 · DOI
  55. Real, 2020, Mediterranean food pattern vs. Mediterranean diet: a necessary approach?, Int J Food Sci Nutr., 71, 1, 10.1080/09637486.2019.1617838 · DOI
  56. Marventano, 2017, Whole grain intake and glycaemic control in healthy subjects: a systematic review and meta-analysis of randomized controlled trials, Nutrients., 9, 769, 10.3390/nu9070769 · DOI
  57. Quick, 2013, Personal, behavioral and socio-environmental predictors of overweight incidence in young adults: 10-yr longitudinal findings, Int J Behav Nutr Phys Act., 10, 37, 10.1186/1479-5868-10-37 · DOI
  58. Ros, 2006, Fatty acid composition of nuts – implications for cardiovascular health, Br J Nutr., 96, S29, 10.1017/BJN20061861 · DOI · Paper page
  59. Guo, 2017, Milk and dairy consumption and risk of cardiovascular diseases and all-cause mortality: dose–response meta-analysis of prospective cohort studies, Eur J Epidemiol., 32, 269, 10.1007/s10654-017-0243-1 · DOI · Paper page
  60. Drouin-Chartier, 2016, Systematic review of the association between dairy product consumption and risk of cardiovascular-related clinical outcomes, Adv Nutr Int Rev J., 7, 1026, 10.3945/an.115.011403 · DOI · Paper page
  61. Lazarou, 2015, Breakfast intake is associated with nutritional status, Mediterranean diet adherence, serum iron and fasting glucose: the CYFamilies study, Public Health Nutr., 18, 1308, 10.1017/S1368980014001967 · DOI

Cited by

Metadata

Authors
López-Gajardo, M. A., Leo, F. M., Sánchez-Miguel, P. A., López-Gajardo, D., Soulas, C., & Tapia-Serrano, M. A.
Venue
Frontiers in Nutrition
Publisher
Frontiers Media SA
Published
2022-11-08
Volume
9
ISSN
2296-861X
DOI
10.3389/fnut.2022.945721
Cited by
39
References
5
Licence
creativecommons.org/licenses/by/4.0/ (vor)
Funders
  • Ministerio de Ciencia, Innovación y Universidades
  • Ministerio de Educación, Cultura y Deporte
  • Junta de Extremadura

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.