Validation of a digital food frequency questionnaire for the Northern Sweden Diet Database.


Journal

Nutrition journal
ISSN: 1475-2891
Titre abrégé: Nutr J
Pays: England
ID NLM: 101152213

Informations de publication

Date de publication:
24 Jul 2024
Historique:
received: 17 11 2023
accepted: 10 07 2024
medline: 26 7 2024
pubmed: 26 7 2024
entrez: 25 7 2024
Statut: epublish

Résumé

Dietary habits strongly influence health, with poor diets contributing to numerous deaths annually. Addressing this requires improved dietary habits and consistent monitoring thereof. In northern Sweden, a validated food frequency questionnaire (FFQ) has been used for decades, but trends show that its ability to accurately measure intake has diminished. With changing eating habits and food supply, updating the FFQ was crucial, leading to the development of FFQ2020. This study assessed FFQ2020's relative validity using 24-hour recalls and evaluated its reproducibility. Participants were recruited from one of the northern-Sweden population-based health screenings and by advertising. Food intake was registered in an electronic food frequency questionnaire (FFQ2020) (test instrument) and reference data were obtained by six repeated electronic 24-hour dietary recalls (24HDR). Intakes of single foods were aggregated into food groups and healthy diet index scores, and daily energy and nutrient intakes were estimated. Results from the two methods were described and tested in univariate analyses and correlation tests, Bland Altman plots, cross-classification validity, and intra-class correlation analyses. Totally, 628 adults were invited to participate in the study. Of these, 320 joined, and 244 completed at least four 24HDRs. The median intakes in food groups, as well as the mean index scores and estimated nutrient intakes, were largely similar between the FFQ2020 and 24HDR recordings. The correlation coefficients between the two assessments ranged from 0.253 to 0.693 for food groups, 0.520 to 0.614 for diet indices, and 0.340 to 0.629 for energy and nutrients. Intra-class correlation coefficients indicated at least good reproducibility for intakes of food groups, diet index scores, and nutrients. Generally, Bland-Altman plots did not reveal any gross systematic disagreement between the two methods for any of the assessments. However, there were single observations located outside the upper or lower 95% confidence interval (CI) limits for the difference between FFQ2020 and the 24HDR recordings. In concert, the results suggest that the relative validity and reproducibility of FFQ2020 are acceptable for trend analyses and group comparisons in large-scale studies but also that extended reference periods would improve the precision of less frequently consumed foods.

Sections du résumé

BACKGROUND BACKGROUND
Dietary habits strongly influence health, with poor diets contributing to numerous deaths annually. Addressing this requires improved dietary habits and consistent monitoring thereof. In northern Sweden, a validated food frequency questionnaire (FFQ) has been used for decades, but trends show that its ability to accurately measure intake has diminished. With changing eating habits and food supply, updating the FFQ was crucial, leading to the development of FFQ2020. This study assessed FFQ2020's relative validity using 24-hour recalls and evaluated its reproducibility.
METHODS METHODS
Participants were recruited from one of the northern-Sweden population-based health screenings and by advertising. Food intake was registered in an electronic food frequency questionnaire (FFQ2020) (test instrument) and reference data were obtained by six repeated electronic 24-hour dietary recalls (24HDR). Intakes of single foods were aggregated into food groups and healthy diet index scores, and daily energy and nutrient intakes were estimated. Results from the two methods were described and tested in univariate analyses and correlation tests, Bland Altman plots, cross-classification validity, and intra-class correlation analyses.
RESULTS RESULTS
Totally, 628 adults were invited to participate in the study. Of these, 320 joined, and 244 completed at least four 24HDRs. The median intakes in food groups, as well as the mean index scores and estimated nutrient intakes, were largely similar between the FFQ2020 and 24HDR recordings. The correlation coefficients between the two assessments ranged from 0.253 to 0.693 for food groups, 0.520 to 0.614 for diet indices, and 0.340 to 0.629 for energy and nutrients. Intra-class correlation coefficients indicated at least good reproducibility for intakes of food groups, diet index scores, and nutrients. Generally, Bland-Altman plots did not reveal any gross systematic disagreement between the two methods for any of the assessments. However, there were single observations located outside the upper or lower 95% confidence interval (CI) limits for the difference between FFQ2020 and the 24HDR recordings.
CONCLUSION CONCLUSIONS
In concert, the results suggest that the relative validity and reproducibility of FFQ2020 are acceptable for trend analyses and group comparisons in large-scale studies but also that extended reference periods would improve the precision of less frequently consumed foods.

Identifiants

pubmed: 39049045
doi: 10.1186/s12937-024-00984-8
pii: 10.1186/s12937-024-00984-8
doi:

Types de publication

Journal Article Validation Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

83

Informations de copyright

© 2024. The Author(s).

Références

Afshin A, Sur PJ, Fay KA, Ferrara G, Salama JS, Mullany EC et al. Health effects of dietary risks in 195 countries, 1990–2017: a systematic analysis for the global burden of Disease Study 2017. The Lancet (British edition). 2019;393(10184):1958–72.
Willett W. Nutritional Epidemiology. 3rd ed. Oxford Academic. 2013.
Johansson I, Hallmans G, Wikman A, Biessy C, Riboli E, Kaaks R. Validation and calibration of food-frequency questionnaire measurements in the Northern Sweden Health and Disease cohort. Public Health Nutr. 2002;5(3):487–96.
doi: 10.1079/PHN2001315 pubmed: 12003662
Wennberg M, Vessby B, Johansson I. Evaluation of relative intake of fatty acids according to the Northern Sweden FFQ with fatty acid levels in erythrocyte membranes as biomarkers. Public Health Nutr. 2009;12(9):1477–84.
doi: 10.1017/S1368980008004503 pubmed: 19144238
Johansson I, Guelpen BV, Hultdin J, Johansson M, Hallmans G, Stattin P. Validity of food frequency questionnaire estimated intakes of folate and other B vitamins in a region without folic acid fortification. Eur J Clin Nutr. 2010;64(8):905–13.
doi: 10.1038/ejcn.2010.80 pubmed: 20502473
Klingberg S, Winkvist A, Hallmans G, Johansson I. Evaluation of plant sterol intake estimated with the Northern Sweden FFQ. Public Health Nutr. 2013;16(3):460–7.
doi: 10.1017/S1368980012003151 pubmed: 22874465
Johansson I, Nilsson LM, Stegmayr B, Boman K, Hallmans G, Winkvist A. Associations among 25-year trends in diet, cholesterol and BMI from 140,000 observations in men and women in Northern Sweden. Nutr J. 2012;11(1):40.
doi: 10.1186/1475-2891-11-40 pubmed: 22686621 pmcid: 3489616
Huseinovic E, Hörnell A, Johansson I, Esberg A, Lindahl B, Winkvist A. Changes in food intake patterns during 2000–2007 and 2008–2016 in the population-based Northern Sweden Diet Database. Nutr J. 2019;18(1):36.
doi: 10.1186/s12937-019-0464-0 pubmed: 31299991 pmcid: 6626352
Winkvist A, Klingberg S, Nilsson LM, Wennberg M, Renstrom F, Hallmans G, et al. Longitudinal 10-year changes in dietary intake and associations with cardio-metabolic risk factors in the Northern Sweden Health and Disease Study. Nutr J. 2017;16(1):20.
doi: 10.1186/s12937-017-0241-x pubmed: 28351404 pmcid: 5370464
Sikorski C, Yang S, Stennett R, Miller V, Teo 4, Anand SS, Paré G, Yusuf S, Dehghan M, Mente A. Changes in energy, macronutrient, and food consumption in 47 countries over the last 70 years (1950–2019): a systematic review and meta-analysis. Nutrition. 2023;108:111941.
doi: 10.1016/j.nut.2022.111941 pubmed: 36702047
Santeramo FG, Carlucci D, De Devitiis, Seccia A, Stasi A, Viscecchia R, Nardone G. Emerging trends in European food, diets and food industry. Food Res Int. 2017;104:39–47.
doi: 10.1016/j.foodres.2017.10.039 pubmed: 29433781
Eriksson M, Forslund A-S, Jansson J-H, Söderberg S, Wennberg M, Eliasson M. Greater decreases in cholesterol levels among individuals with high cardiovascular risk than among the general population: the northern Sweden MONICA study 1994 to 2014. Eur Heart J. 2016;37(25):1985–92.
doi: 10.1093/eurheartj/ehw052 pubmed: 26941200 pmcid: 4929376
Harris PA, Taylor R, Minor BL, Elliott V, Fernandez M, O’Neal L, et al. The REDCap consortium: building an international community of software platform partners. J Biomed Inf. 2019;95:103208.
doi: 10.1016/j.jbi.2019.103208
Lindroos AK, Petrelius Sipinen J, Axelsson C, Nyberg G, Landberg R, Leanderson P, et al. Use of a web-based Dietary Assessment Tool (RiksmatenFlex) in Swedish adolescents: comparison and validation study. J Med Internet Res. 2019;21(10):e12572.
doi: 10.2196/12572 pubmed: 31588902 pmcid: 6914230
Buckland G, Travier N, Cottet V, Gonzalez CA, Lujan-Barroso L, Agudo A, et al. Adherence to the mediterranean diet and risk of breast cancer in the European prospective investigation into cancer and nutrition cohort study. Int J Cancer. 2013;132(12):2918–27.
doi: 10.1002/ijc.27958 pubmed: 23180513
Olsen A, Egeberg R, Halkjaer J, Christensen J, Overvad K, Tjonneland A. Healthy aspects of the Nordic diet are related to lower total mortality. J Nutr. 2011;141(4):639–44.
doi: 10.3945/jn.110.131375 pubmed: 21346102
Satija A, Bhupathiraju SN, Rimm EB, Spiegelman D, Chiuve SE, Borgi L, et al. Plant-based dietary patterns and incidence of type 2 diabetes in US men and women: results from three prospective cohort studies. PLoS Med. 2016;13(6):e1002039.
doi: 10.1371/journal.pmed.1002039 pubmed: 27299701 pmcid: 4907448
Swedish Food Agency. Rapport 8 - Riksmaten - vuxna 2010-11 Livsmedels- och näringsintag bland vuxna i Sverige - metodrapport. https://www.livsmedelsverket.se/om-oss/psidata/apimatvanor2014 . Accessed 13 Nov 2023.
Mifflin MD, St Jeor ST, Hill LA, Scott BJ, Daugherty SA, Koh YO. A new predictive equation for resting energy expenditure in healthy individuals. Am J Clin Nutr. 1990;51(2):241–7.
doi: 10.1093/ajcn/51.2.241 pubmed: 2305711
Willett WC, Howe GR, Kushi LH. Adjustment for total energy intake in epidemiologic studies. Am J Clin Nutr. 1997;65(4):S1220–8.
doi: 10.1093/ajcn/65.4.1220S
Koo TK, Li MY. A Guideline of selecting and reporting Intraclass correlation coefficients for Reliability Research. J Chiropr Med. 2016;15(2):155–63.
doi: 10.1016/j.jcm.2016.02.012 pubmed: 27330520 pmcid: 4913118
Bland JM, Altman DG. Measuring agreement in method comparison studies. Stat Methods Med Res. 1999;8(2):135–60.
doi: 10.1177/096228029900800204 pubmed: 10501650
Gu X, Wang DD, Sampson L, Barnett JB, Rimm EB, Stampfer MJ, et al. Validity and reproducibility of a Semiquantitative Food Frequency Questionnaire for Measuring Intakes of Foods and Food groups. Am J Epidemiol. 2024;193(1):170–9.
doi: 10.1093/aje/kwad170 pubmed: 37552965
Yuan C, Spiegelman D, Rimm EB, Rosner BA, Stampfer MJ, Barnett JB, et al. Validity of a Dietary Questionnaire assessed by comparison with multiple weighed Dietary records or 24-Hour recalls. Am J Epidemiol. 2017;185(7):570–84.
doi: 10.1093/aje/kww104 pubmed: 28338828 pmcid: 5859994
Yuan C, Spiegelman D, Rimm EB, Rosner BA, Stampfer MJ, Barnett JB, et al. Relative validity of nutrient intakes assessed by Questionnaire, 24-Hour recalls, and Diet Records as compared with urinary recovery and plasma concentration biomarkers: findings for women. Am J Epidemiol. 2018;187(5):1051–63.
doi: 10.1093/aje/kwx328 pubmed: 29036411
Al-Shaar L, Yuan C, Rosner B, Dean SB, Ivey KL, Clowry CM, et al. Reproducibility and validity of a semiquantitative food frequency questionnaire in men assessed by multiple methods. Am J Epidemiol. 2021;190(6):1122–32.
doi: 10.1093/aje/kwaa280 pubmed: 33350436
Troeschel AN, Hartman TJ, Flanders WD, Wang Y, Hodge RA, McCullough LE, et al. The American Cancer Society Cancer Prevention Study-3 FFQ has reasonable validity and reproducibility for Food groups and a Diet Quality score. J Nutr. 2020;150(6):1566–78.
doi: 10.1093/jn/nxaa082 pubmed: 32232407
Sabir Z, Rosendahl-Riise H, Dierkes J, Dahl H, Hjartåker A. Comparison of dietary intake measured by a web-based FFQ and repeated 24-hour dietary recalls: the Hordaland Health Study. J Nutr Sci (Cambridge). 2022;11:e98–e.
doi: 10.1017/jns.2022.97
Rostgaard-Hansen AL, Rosthøj S, Brunius C, Olsen SF, Bjerregaard AA, Cade JE, et al. Relative validity and reproducibility of a web-based semi-quantitative food frequency questionnaire in the Danish Diet, Cancer, and Health—Next generations MAX Study. Nutrients. 2023;15(10):2389.
doi: 10.3390/nu15102389 pubmed: 37242272 pmcid: 10222214
Philippou E, Demetriou CA, Loucaides G, Solomonidou N, Critselis E, Polykarpou M, et al. Relative validity and reproducibility of the CyFFQ semiquantitative food frequency questionnaire for assessing dietary intake in Cypriot adults. J Hum Nutr Diet. 2023;36(1):139–53.
doi: 10.1111/jhn.13032 pubmed: 35567380
Imaeda N, Goto C, Sasakabe T, Mikami H, Oze I, Hosono A, et al. Reproducibility and validity of food group intake in a short food frequency questionnaire for the middle-aged Japanese population. Environ Health Prev Med. 2021;26(1):28–14.
doi: 10.1186/s12199-021-00951-3 pubmed: 33653279 pmcid: 7923820
Murakami K, Shinozaki N, Livingstone MBE, Kimoto N, Masayasu S, Sasaki S. Food combination questionnaire for Japanese: relative validity regarding food and nutrient intake and overall diet quality against the 4-day weighed dietary record. J Nutr Sci (Cambridge). 2023;12:e22–e.
doi: 10.1017/jns.2023.7
Huang Q, Zhou X, Zhang C, Huang L, Wang Q, Chen Q, et al. Relative validity and reproducibility of dietary measurements assessed by a semiquantitative food frequency questionnaire among Chinese healthy adults. Nutrients. 2023;15(3):545.
doi: 10.3390/nu15030545 pubmed: 36771253 pmcid: 9920913
Samson ML, Peeri NC, Alatise OI, O’Connell K, Sharma A, Ogunleye SG, et al. Validating a semi-quantitative food frequency questionnaire to assess regional diet in a study of cancer in South West Nigeria. Cancer Causes Control. 2023;34(6):495–503.
doi: 10.1007/s10552-023-01684-0 pubmed: 36995554 pmcid: 10617682
Abutbul Vered S, Shani Levi C, Rozen GA, Solt I, Rozen GS. Development and validation of a computerized web-based quantitative food frequency questionnaire. J Clin Nutr. 2022;52:169–77.
Mayasari NR, Ho DKN, Lundy DJ, Skalny AV, Tinkov AA, Teng IC, Wu MC, Faradina A, Mohammed AZM, Park JM, Ngu YJ, Aliné S, Shofia NM, Chang JS. Impacts of the COVID-19 pandemic on Food Security and Diet-related lifestyle behaviors: an Analytical Study of Google trends-based query volumes. Nutrients. 2020;12(10):3103.
doi: 10.3390/nu12103103 pubmed: 33053656 pmcid: 7601866
Laber M, Klimek P, Bruckner M, Yang L, Thurner S. Shock propagation from the Russia-Ukraine conflict on international multilayer food production network determines global food availability. Nat Food. 2023;4(6):508–17. https://doi.org/10.1038/s43016-023-00771-4
doi: 10.1038/s43016-023-00771-4 pubmed: 37322302

Auteurs

Maria Wennberg (M)

Department of Public Health and Clinical Medicine/Sustainable Health, Umeå University, Umeå, S-901 87, Sweden. maria.wennberg@umu.se.

Lisa Kastenbom (L)

Department of Odontology, Umeå University, Umeå, Sweden.

Linda Eriksson (L)

Department of Odontology, Umeå University, Umeå, Sweden.

Anna Winkvist (A)

Department of Public Health and Clinical Medicine/Sustainable Health, Umeå University, Umeå, S-901 87, Sweden.
Department of Internal Medicine and Clinical Nutrition, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.

Ingegerd Johansson (I)

Department of Odontology, Umeå University, Umeå, Sweden.

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