Cited by 367Nutritional Studies and DietStatistical Methods in EpidemiologyNutrition and Health Studies

The DOI matches its Crossref record; 33 of the 35 references it cites were found in a registry or an index.

Validation and calibration of food-frequency questionnaire measurements in the Northern Sweden Health and Disease cohort

Open access

Johansson, Ingegerd, Hallmans, Göran, Wikman, Åsa, Biessy, Carine, Riboli, Elio, Kaaks, Rudolf·2002·Public Health Nutrition

DOI 10.1079/phn2001315

Open this paper in CoChat — free account Open PDF

Abstract

OBJECTIVES: To evaluate the reproducibility of, and to compare and calibrate, diet measures by the Northern Sweden 84-item food-frequency questionnaire (FFQ) with measures from 24-hour diet recalls (24-HDR). DESIGN: Randomly selected respondents from the EPIC (diet-cancer) and MONICA (diet-cardiovascular disease) study cohort in Northern Sweden were invited to answer the FFQ twice over a one-year interval (FFQ1 and FFQ2), and to complete ten 24-hour recalls (reference method) in the months between. Plasma beta-carotene concentrations were determined from a subset of 47 participants. SETTING: Västerbotten and Norrbotten, Northern Sweden. PARTICIPANTS: Ninety-six men and 99 women, who completed the study. RESULTS: The reproducibility of the FFQ was high in terms of both mean energy and nutrient intakes and relative ranking of participants by intake levels (median Pearson correlation of 0.68). Moderately higher food intake frequencies were recorded by FFQ1 compared with 24-hour recalls for dairy products, bread/cereals, vegetables, fruits and potato/rice/pasta, whereas meat, fish, sweet snacks and alcoholic beverage intakes were lower. The median Spearman coefficient of correlation between FFQ1 and the average of ten 24-HDR measurements was 0.50. Daily energy and nutrient intakes were similar for FFQ1 and 24-HDR measurements, except for fibre, vitamin C, beta-carotene and retinol (FFQ1>24-HDR) and sucrose and cholesterol Pearson coefficients of correlation between FFQ1 and 24-HDR corrected for attenuation due to residual day-to-day variation in the 24-HDR measurements ranged from 0.36 to 0.79 (median 0.54). Adjustment for energy had only very moderate effects on the correlation estimates. Calibration coefficients estimated by linear regression of the 24-HDR on the FFQ1 measurements varied between 0.30 and 0.59 for all nutrients except alcohol, which had calibration coefficients close to 1.0. These low calibration coefficients indicate that relative risk estimates corresponding to an absolute difference in dietary intake levels measured by the FFQ will generally be biased towards 1.0. Plasma beta-carotene levels had a Pearson coefficient of correlation of 0.47 with the 24-HDR measurements, and of 0.23 with FFQ1 measurements. CONCLUSIONS: The Northern Sweden FFQ measurements have good reproducibility and an estimated level of validity similar to that of FFQ measurements in other prospective cohort studies. The results from this study will form the basis for the correction of attenuation and regression dilution biases in relative risk estimates, in future studies relating FFQ measurements to disease outcomes.

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.

Integrity signals

Registry

Crossref · 10.1079/phn2001315

Cites

33 of 33 references verified0 citation errors · 0 not checkable

Statistics

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.

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.

Reproducibility and validity of a semiquantitative food frequency questionnaire
WILLETT, W. C., SAMPSON, L., STAMPFER, M. J., ROSNER, B., BAIN, C., WITSCHI, J., HENNEKENS, C. H., & SPEIZER, F. E. (1985) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a114086 · Cited by 4,274
Energy and protein requirements*
Pacey, A., & Payne, P. (2019) · Routledge eBooks · doi:10.4324/9780429036279-4 · Cited by 2,545
Critical evaluation of energy intake data using fundamental principles of energy physiology: 1. Derivation of cut-off limits to identify under-recording.
Goldberg, G. R., Black, A., Jebb, S. A., Cole, T. J., Pr, M., Coward, W. A., & Prentice, A. M. (1991) · PubMed · Cited by 1,927
The EPIC Project: rationale and study design. European Prospective Investigation into Cancer and Nutrition
Ríboli, E. (1997) · International Journal of Epidemiology · doi:10.1093/ije/26.suppl_1.s6 · Cited by 957
Correction of logistic regression relative risk estimates and confidence intervals for systematic within‐person measurement error
ROSNER, B. A., Willett, W. C., & Spiegelman, D. L. (1989) · Statistics in Medicine · doi:10.1002/sim.4780080905 · Cited by 658
Validation of dietary assessment methods in the UK arm of EPIC using weighed records, and 24-hour urinary nitrogen and potassium and serum vitamin C and carotenoids as biomarkers
Bingham, S. (1997) · International Journal of Epidemiology · doi:10.1093/ije/26.suppl_1.s137 · Cited by 634
Number of days of food intake records required to estimate individual and group nutrient intakes with defined confidence.
Basiotis, P., Welsh, S., Cronin, F., Kelsay, J., & Mertz, W. (1987) · Journal of NutriLife · doi:10.1093/jn/117.9.1638 · Cited by 633
Validation of a self-administered food-frequency questionnaire administered in the European Prospective Investigation into Cancer and Nutrition (EPIC) Study: comparison of energy, protein, and macronutrient intakes estimated with the doubly labeled water, urinary nitrogen, and repeated 24-h dietary recall methods
Kroke, A., Klipstein-Grobusch, K., Voss, S., Möseneder, J., Thielecke, F., Noack, R., & Boeing, H. (1999) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/70.4.439 · Cited by 550
Critical evaluation of energy intake data using fundamental principles of energy physiology: 2. Evaluating the results of published surveys.
Black, A., Goldberg, G. R., Jebb, S. A., Livingstone, M. B. E., Cole, T. J., & Prentice, A. (1991) · PubMed · Cited by 537
REPRODUCIBILITY AND VALIDITY OF DIETARY ASSESSMENT INSTRUMENTS
Pietinen, P., Hartman, A. M., Haapa, E., Räsänen, L., Haapakoski, J., Palmgren, J., Albanes, D., Virtamo, J. R. K., & Huttunen, J. K. (1988) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a115013 · Cited by 515

Show all 35 references

Research works printed but not linked: 4

Bergström, 1979, Illustrations of food items [in Swedish], Vår Föda, 31, 401
1999, Weight Tables [in Swedish]
Brännström, 1988, Local health planning and intervention – the case of a Swedish municipality, Scand. J. Prim. Health Care, 57
Bergström, 1991, The food composition data base system (KOST-systemet) - its use for nutrient values [in Swedish], Vär. Föda, 43, 439

Sorted by citations

Items 101–200 of 367

Association between tea and coffee consumption and prevalence of metabolic syndrome in Poland – results from the WOBASZ II study (2013–2014)
Micek, A., Grosso, G., Polak, M., Kozakiewicz, K., Tykarski, A., Puch-Walczak, A., Drygas, W., Kwaśniewska, M., & Pająk, A. (2017) · International Journal of Food Sciences and Nutrition · doi:10.1080/09637486.2017.1362690 · Cited by 50
Factors associated with irritable bowel syndrome among medical students at Ain Shams University
Elhosseiny, D., Mahmoud, N. E., & Manzour, A. (2019) · Journal of the Egyptian Public Health Association · doi:10.1186/s42506-019-0023-8 · Cited by 49
Comparing methods for handling missing values in food-frequency questionnaires and proposing k nearest neighbours imputation: effects on dietary intake in the Norwegian Women and Cancer study (NOWAC)
Parr, C. L., Hjartåker, A., Scheel, I., Lund, E., Laake, P., & Veierød, M. B. (2007) · Public Health Nutrition · doi:10.1017/s1368980007000365 · Cited by 48
Reliability and relative validity of a diet index score for adults derived from a self‐reported short food survey
Hendrie, G. A., Rebuli, M. A., & Golley, R. K. (2016) · Nutrition & Dietetics · doi:10.1111/1747-0080.12303 · Cited by 46
Lifestyle modification improves risk factors in type 2 diabetes relatives
Brekke, H. K., Lenner, R. A., Taskinen, M., Månsson, J., Funahashi, T., Matsuzawa, Y., & Jansson, P. (2004) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2004.07.023 · Cited by 46
Reproducibility and validity of a semi-quantitative FFQ for trace elements
Lee, Y., & Park, K. (2016) · British Journal Of Nutrition · doi:10.1017/s0007114516002622 · Cited by 45
Reported food intake and distribution of body fat: a repeated cross-sectional study
Krachler, B., Eliasson, M., Stenlund, H. C., Johansson, I., Hallmans, G., & Lindahl, B. (2006) · Nutrition Journal · doi:10.1186/1475-2891-5-34 · Cited by 44
Dietary intake, leisure time activities and obesity among adolescents in Western Sweden: a cross-sectional study
Winkvist, A., Hultén, B., Kim, J., Johansson, I., Torén, K., Brisman, J., & Forslund, H. B. (2015) · Nutrition Journal · doi:10.1186/s12937-016-0160-2 · Cited by 45
Longitudinal 10-year changes in dietary intake and associations with cardio-metabolic risk factors in the Northern Sweden Health and Disease Study
Winkvist, A., Klingberg, S., Nilsson, L. M., Wennberg, M., Renström, F., Hallmans, G., Boman, K., & Johansson, I. (2017) · Nutrition Journal · doi:10.1186/s12937-017-0241-x · Cited by 45
Stroke and plasma markers of milk fat intake – a prospective nested case-control study
Warensjö, E., Smedman, A., Stegmayr, B., Hallmans, G., Weinehall, L., Vessby, B. O., & Johansson, I. (2009) · Nutrition Journal · doi:10.1186/1475-2891-8-21 · Cited by 45
Validity and reproducibility of a food frequency questionnaire to assess dietary nutrients for prevention and management of metabolic syndrome in Korea
Bae, Y., Choi, H.-Y., Sung, M., Kim, M. K., & Choi, M. (2010) · Nutrition Research and Practice · doi:10.4162/nrp.2010.4.2.121 · Cited by 44
Self-Reported Whole-Grain Intake and Plasma Alkylresorcinol Concentrations in Combination in Relation to the Incidence of Colorectal Cancer
Knudsen, M. D., Kyrø, C., Olsen, A., Dragsted, L. O., Skeie, G., Lund, E., Åman, P., Nilsson, L. M., Bueno-de-Mesquita, H. B., Tjønneland, A. M., et al. (2014) · American Journal of Epidemiology · doi:10.1093/aje/kwu031 · Cited by 44
Long-term (1- and 2-year) effects of lifestyle intervention in type 2 diabetes relatives
Brekke, H. K., Jansson, P., & Lenner, R. A. (2005) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2005.03.027 · Cited by 45
Reported dietary intake in early pregnant compared to non-pregnant women – a cross-sectional study
Lundqvist, A., Johansson, I., Wennberg, A., Hultdin, J., Högberg, U., Hamberg, K., & Sandström, H. (2014) · BMC Pregnancy and Childbirth · doi:10.1186/s12884-014-0373-3 · Cited by 45
Lifestyle changes can be achieved through counseling and follow-up in first-degree relatives of patients with type 2 diabetes☆☆☆★
Brekke, H. K., Jansson, P., Månsson, J., & Lenner, R. A. (2003) · Journal of the American Dietetic Association · doi:10.1016/s0002-8223(03)00378-x · Cited by 42
Chlorinated persistent organic pollutants and type 2 diabetes - A population-based study with pre- and post- diagnostic plasma samples
Tornevi, A., Sommar, J. N., Rantakokko, P., Åkesson, A., Donat‐Vargas, C., Kiviranta, H., Rolandsson, O., Rylander, L., Wennberg, M., & Bergdahl, I. A. (2019) · Environmental Research · doi:10.1016/j.envres.2019.04.017 · Cited by 42
Healthy behaviours and 10-year incidence of diabetes: A population cohort study
Long, G. H., Johansson, I., Rolandsson, O., Wennberg, P., Fhärm, E., Weinehall, L., Griffin, S. J., Simmons, R. K., & Norberg, M. (2014) · Preventive Medicine · doi:10.1016/j.ypmed.2014.12.013 · Cited by 42
Reproducibility and relative validity of food group intake in a food frequency questionnaire developed for Nepalese diet
Shrestha, A., Koju, R. P., Beresford, S. A. A., Chan, K. C. G., Connell, F. A., Karmacharya, B. M., Shrestha, P., & Fitzpatrick, A. L. (2017) · International Journal of Food Sciences and Nutrition · doi:10.1080/09637486.2016.1268099 · Cited by 41
Adherence to a Mediterranean-like Diet as a Protective Factor Against COPD: A Nested Case-Control Study
Fischer, A., Johansson, I., Blomberg, A., & Sundström, B. (2019) · COPD Journal of Chronic Obstructive Pulmonary Disease · doi:10.1080/15412555.2019.1634039 · Cited by 42
Plasma Phospholipid Fatty Acid Content Is Related to Disease Activity in Ankylosing Spondylitis
Sundström, B., Johansson, G. K., Kokkonen, H., Cederholm, T., & Wållberg‐Jonsson, S. (2011) · The Journal of Rheumatology · doi:10.3899/jrheum.110575 · Cited by 38
The CRCbiome study: a large prospective cohort study examining the role of lifestyle and the gut microbiome in colorectal cancer screening participants
Kværner, A. S., Birkeland, E. E., Bucher-Johannessen, C., Vinberg, E., Nordby, J. I., Kangas, H., Bemanian, V., Ellonen, P., Botteri, E., Natvig, E., et al. (2021) · BMC Cancer · doi:10.1186/s12885-021-08640-8 · Cited by 46
Validation of a Food Frequency Questionnaire by Direct Measurement of Habitual ad Libitum Food Intake
Paul, D. R., Rhodes, D. G., Kramer, M., Baer, D. J., & Rumpler, W. V. (2005) · American Journal of Epidemiology · doi:10.1093/aje/kwi279 · Cited by 39
Smoking is associated with risk for developing inflammatory bowel disease including late onset ulcerative colitis: a prospective study
Salih, A., Widbom, L., Hultdin, J., & Karling, P. (2017) · Scandinavian Journal of Gastroenterology · doi:10.1080/00365521.2017.1418904 · Cited by 38
Plasma metabolites associated with healthy Nordic dietary indexes and risk of type 2 diabetes—a nested case-control study in a Swedish population
Shi, L. S., Brunius, C. F., Johansson, I., Bergdahl, I. A., Lindahl, B., Hanhineva, K., & Landberg, R. (2018) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqy145 · Cited by 38
The Nordic prudent diet prolongs survival with good mental and physical functioning among older adults: The role of healthy lifestyle
Wu, W., Shang, Y., Dove, A. E., Guo, J., Calderón‐Larrañaga, A., Rizzuto, D., & Xu, W. (2021) · Clinical Nutrition · doi:10.1016/j.clnu.2021.06.027 · Cited by 37
Season-dependent associations of circadian rhythm-regulating loci (CRY1, CRY2 and MTNR1B) and glucose homeostasis: the GLACIER Study
Renström, F., Koivula, R. W., Varga, T. V., Hallmans, G., Mulder, H., Florez, J. C., Hu, F. B., & Franks, P. W. (2015) · Diabetologia · doi:10.1007/s00125-015-3533-8 · Cited by 37
Fat intake and breast milk fatty acid composition in farming and nonfarming women and allergy development in the offspring
Jonsson, K., Barman, M., Moberg, S., Sjöberg, A., Brekke, H. K., Hesselmar, B., Johansen, S., Wold, A. E., & Sandberg, A. (2015) · Pediatric Research · doi:10.1038/pr.2015.187 · Cited by 37
Plasma metabolite biomarkers of boiled and filtered coffee intake and their association with type 2 diabetes risk
Shi, L. S., Brunius, C. F., Johansson, I., Bergdahl, I. A., Rolandsson, O., Guelpen, B. R. V., Winkvist, A., Hanhineva, K., & Landberg, R. (2019) · Journal of Internal Medicine · doi:10.1111/joim.13009 · Cited by 37
Identification of metabolites associated with prostate cancer risk: a nested case-control study with long follow-up in the Northern Sweden Health and Disease Study
Röhnisch, H. E., Kyrø, C., Olsen, A., Thysell, E., Hallmans, G., & Moazzami, A. A. (2020) · BMC Medicine · doi:10.1186/s12916-020-01655-1 · Cited by 37
The heritable basis of gene–environment interactions in cardiometabolic traits
Poveda, A., Chen, Y., Brändström, A., Engberg, E., Hallmans, G., Johansson, I., Renström, F., Kurbasic, A., & Franks, P. W. (2016) · Diabetologia · doi:10.1007/s00125-016-4184-0 · Cited by 34
Time trends and exposure determinants of lead and cadmium in the adult population of northern Sweden 1990–2014
Wennberg, M., Lundh, T., Sommar, J. N., & Bergdahl, I. A. (2017) · Environmental Research · doi:10.1016/j.envres.2017.07.029 · Cited by 36
Effects of Dietary Fibres on Acute Indomethacin-Induced Intestinal Hyperpermeability in the Elderly: A Randomised Placebo Controlled Parallel Clinical Trial
Mall, J. G., Fart, F., Sabet, J. A., Lindqvist, C. M., Nestestog, R., Hegge, F. T., Keita, Å. V., Brummer, R. J., & Schoultz, I. (2020) · Nutrients · doi:10.3390/nu12071954 · Cited by 38
Performance of the Quantitative Food Frequency Questionnaire Used in the Brazilian Center of the Prospective Study Natural History of Human Papillomavirus Infection in Men: The HIM Study
Teixeira, J. A., Baggio, M. L., Giuliano, A. R., Fisberg, R. M., & Marchioni, D. M. L. (2011) · Journal of the American Dietetic Association · doi:10.1016/j.jada.2011.04.006 · Cited by 35
Relative validity of a semi-quantitative, web-based FFQ used in the ‘Snart Forældre’ cohort – a Danish study of diet and fertility
Knudsen, V. K., Hatch, E. E., Cueto, H. T., Tucker, K. L., Wise, L. A., Christensen, T., & Mikkelsen, E. M. (2015) · Public Health Nutrition · doi:10.1017/s1368980015002189 · Cited by 35
Diet, disease activity, and gastrointestinal symptoms in patients with ankylosing spondylitis
Sundström, B., Wållberg‐Jonsson, S., & Johansson, G. K. (2010) · Clinical Rheumatology · doi:10.1007/s10067-010-1625-x · Cited by 35
Relationship between diet and ankylosing spondylitis: A systematic review
Macfarlane, T. V., Abbood, H. M., Pathan, E., Gordon, K., Hinz, J., & Macfarlane, G. J. (2017) · European Journal of Rheumatology · doi:10.5152/eurjrheum.2017.16103 · Cited by 35
Carbonic Anhydrase 6 Gene Variation influences Oral Microbiota Composition and Caries Risk in Swedish adolescents
Esberg, A., Haworth, S. J., Brunius, C. F., Holgerson, P. L., & Johansson, I. (2019) · Scientific Reports · doi:10.1038/s41598-018-36832-z · Cited by 34
Sustainability Indicators for Foods Benefiting Climate and Health
Strid, A., Hallström, E., Sonesson, U., Sjons, J., Winkvist, A., & Bianchi, M. A. (2021) · Sustainability · doi:10.3390/su13073621 · Cited by 34
Complementary medicine for axial spondyloarthritis: is there any scientific evidence?
Danve, A. S., & Deodhar, A. A. (2018) · Current Opinion in Rheumatology · doi:10.1097/bor.0000000000000513 · Cited by 33
A traditional Sami diet score as a determinant of mortality in a general northern Swedish population
Nilsson, L. M., Winkvist, A., Brustad, M., Jansson, J., Johansson, I., Lenner, P., Lindahl, B., & Guelpen, B. R. V. (2012) · International Journal of Circumpolar Health · doi:10.3402/ijch.v71i0.18537 · Cited by 33
Differential effects of dietary fibres on colonic barrier function in elderly individuals with gastrointestinal symptoms
Mall, J. G., Löfvendahl, L., Lindqvist, C. M., Brummer, R. J., Keita, Å. V., & Schoultz, I. (2018) · Scientific Reports · doi:10.1038/s41598-018-31492-5 · Cited by 33
Dairy Product Intake and Cardiometabolic Diseases in Northern Sweden: A 33-Year Prospective Cohort Study
Johansson, I., Esberg, A., Nilsson, L. M., Jansson, J., Wennberg, P., & Winkvist, A. (2019) · Nutrients · doi:10.3390/nu11020284 · Cited by 35
Trends in food intakes in Swedish adults 1986–1999: findings from the Northern Sweden MONICA (Monitoring of Trends and Determinants in Cardiovascular Disease) Study
Krachler, B., Eliasson, M., Johansson, I., Hallmans, G., & Lindahl, B. (2005) · Public Health Nutrition · doi:10.1079/phn2004710 · Cited by 32
Low-carbohydrate, high-protein diet score and risk of incident cancer; a prospective cohort study
Nilsson, L. M., Winkvist, A., Johansson, I., Lindahl, B., Hallmans, G., Lenner, P., & Guelpen, B. R. V. (2013) · Nutrition Journal · doi:10.1186/1475-2891-12-58 · Cited by 33
Dairy Products and Cancer Risk in a Northern Sweden Population
Nilsson, L. M., Winkvist, A., Esberg, A., Jansson, J., Wennberg, P., Guelpen, B. R. V., & Johansson, I. (2019) · Nutrition and Cancer · doi:10.1080/01635581.2019.1637441 · Cited by 32
Diets benefiting health and climate relate to longevity in northern Sweden
Strid, A., Johansson, I., Bianchi, M. A., Sonesson, U., Hallström, E., Lindahl, B., & Winkvist, A. (2021) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqab073 · Cited by 32
The Relationship Between Cardiovascular Health and Rate of Cognitive Decline in Young-Old and Old-Old Adults: A Population-Based Study
Špeh, A., Wang, R., Winblad, B. G., Kramberger, M. G., Bäckman, L., Qiu, C., & Laukka, E. J. (2021) · Journal of Alzheimer s Disease · doi:10.3233/jad-210280 · Cited by 31
Consumption of filtered and boiled coffee and the risk of first acute myocardial infarction; a nested case/referent study
Nilsson, L. M., Wennberg, M., Lindahl, B., Eliasson, M., Jansson, J.-H., & Guelpen, B. R. V. (2009) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2009.05.004 · Cited by 30
Corynebacterium matruchotii Demography and Adhesion Determinants in the Oral Cavity of Healthy Individuals
Esberg, A., Barone, A., Eriksson, L., Holgerson, P. L., Teneberg, S., & Johansson, I. (2020) · Microorganisms · doi:10.3390/microorganisms8111780 · Cited by 30
Low breast milk levels of long‐chain n‐3 fatty acids in allergic women, despite frequent fish intake
Johansson, S. M., Wold, A. E., & Sandberg, A. (2011) · Clinical & Experimental Allergy · doi:10.1111/j.1365-2222.2010.03678.x · Cited by 30
Dietary patterns and accelerated multimorbidity in older adults
Abbad-Gomez, D., Carballo‐Casla, A., Beridze, G., López‐García, E., Rodríguez-Artalejo, F., Sala, M., Comas, M., Vetrano, D. L., & Calderón‐Larrañaga, A. (2025) · Nature Aging · doi:10.1038/s43587-025-00929-8 · Cited by 32
Comparative analysis of two FFQ
Keogh, J. B., Lange, K. M., & Syrette, J. A. (2010) · Public Health Nutrition · doi:10.1017/s1368980010000066 · Cited by 29
Intake of vitamin B before onset of Parkinson’s disease and atypical parkinsonism and olfactory function at the time of diagnosis
Håglin, L., Johansson, I., Forsgren, L., & Bäckman, L. (2016) · European Journal of Clinical Nutrition · doi:10.1038/ejcn.2016.181 · Cited by 29
Dairy intake revisited – associations between dairy intake and lifestyle related cardio-metabolic risk factors in a high milk consuming population
Johansson, I., Nilsson, L. M., Esberg, A., Jansson, J., & Winkvist, A. (2018) · Nutrition Journal · doi:10.1186/s12937-018-0418-y · Cited by 31
Swedish women's food habits during pregnancy up to six months post-partum: A longitudinal study
Wennberg, A. L., Isaksson, U., Sandström, H., Lundqvist, A., Hörnell, A., & Hamberg, K. (2016) · Sexual & Reproductive Healthcare · doi:10.1016/j.srhc.2016.01.006 · Cited by 28
Alcohol consumption and risk of incident atrial fibrillation: A population-based cohort study
Johansson, C., Lind, M. M., Eriksson, M., Wennberg, M., Andersson, J. S. O., & Johansson, L. (2020) · European Journal of Internal Medicine · doi:10.1016/j.ejim.2020.02.022 · Cited by 25
Iron Stores and HFE Genotypes Are Not Related to Increased Risk of Ischemic Stroke
Ekblom, K., Hultdin, J., Stegmayr, B., Johansson, I., Guelpen, B. R. V., Hallmans, G., Weinehall, L., Johansson, L., Wiklund, P.-G., & Marklund, S. L. (2007) · Cerebrovascular Diseases · doi:10.1159/000108429 · Cited by 25
Associations of PFAS-related plasma metabolites with cholesterol and triglyceride concentrations
Schillemans, T., Bergdahl, I. A., Hanhineva, K., Shi, L. S., Donat‐Vargas, C., Koponen, J. M., Kiviranta, H., Landberg, R., Åkesson, A., & Brunius, C. F. (2022) · Environmental Research · doi:10.1016/j.envres.2022.114570 · Cited by 25
Dietary Intake of Naturally Occurring Plant Sterols Is Related to a Lower Risk of a First Myocardial Infarction in Men but Not in Women in Northern Sweden
Klingberg, S., Ellegård, L., Johansson, I., Jansson, J., Hallmans, G., & Winkvist, A. (2013) · Journal of Nutrition · doi:10.3945/jn.113.178707 · Cited by 24
An Active Lifestyle Reinforces the Effect of a Healthy Diet on Cognitive Function: A Population-Based Longitudinal Study
Shakersain, B., Rizzuto, D., Wang, H., Irving, G. F., Prinelli, F., Fratiglioni, L., & Xu, W. (2018) · Nutrients · doi:10.3390/nu10091297 · Cited by 28
Adherence to a traditional lifestyle affects food and nutrient intake among modern swedish sami
Ross, A. B., Johansson, Å., Vavruch-Nilsson, V., Hassler, S., Sjölander, P., Edin‐Liljegren, A., & Gyllensten, U. B. (2009) · International Journal of Circumpolar Health · doi:10.3402/ijch.v68i4.17371 · Cited by 24
Self-citation
Development and validation of a Semi-quantitative food frequency questionnaire among older people in north of Iran.
Bijani, A., Esmaili, H., Ghadimi, R., Babazadeh, A., Rezaei, R., Cumming, R. G., & Hosseini, S. R. (2018) · Europe PMC (PubMed Central) · doi:10.22088/cjim.9.1.78 · Cited by 23
Self-reported bovine milk intake is associated with oral microbiota composition
Johansson, I., Esberg, A., Eriksson, L., Haworth, S. J., & Holgerson, P. L. (2018) · PLoS ONE · doi:10.1371/journal.pone.0193504 · Cited by 24
Incidence and risk factors of venous thromboembolism in men and women
Lind, M. M., Johansson, M., Själander, A., & Johansson, L. (2022) · Thrombosis Research · doi:10.1016/j.thromres.2022.04.014 · Cited by 23
Dietary patterns and whole grain cereals in the Scandinavian countries – differences and similarities. The HELGA project
Engeset, D., Hofoss, D., Nilsson, L. M., Olsen, A., Tjønneland, A. M., & Skeie, G. (2014) · Public Health Nutrition · doi:10.1017/s1368980014001104 · Cited by 23
Intake of whole grains and incidence of oesophageal cancer in the HELGA Cohort
Skeie, G., Braaten, T., Olsen, A., Kyrø, C., Tjønneland, A. M., Landberg, R., Nilsson, L. M., Wennberg, M., Overvad, K., Åsli, L. A., et al. (2015) · European Journal of Epidemiology · doi:10.1007/s10654-015-0057-y · Cited by 23
Occupational stress is associated with major long-term weight gain in a Swedish population-based cohort
Klingberg, S., Mehlig, K., Johansson, I., Lindahl, B., Winkvist, A., & Lissner, L. (2018) · International Archives of Occupational and Environmental Health · doi:10.1007/s00420-018-1392-6 · Cited by 24
Metabolic factors and the risk of colorectal cancer by KRAS and BRAF mutation status
Myte, R., Gylling, B., Häggström, J., Häggström, C., Zingmark, C., Löfgren‐Burström, A., Palmqvist, R., & Guelpen, B. R. V. (2019) · International Journal of Cancer · doi:10.1002/ijc.32104 · Cited by 22
Development and validation of a Food Frequency Questionnaire (FFQ) for assessing sugar consumption among adults in Klang Valley, Malaysia.
Shanita, N. S., Norimah, A. K., & Hanifah, S. A. (2012) · PubMed · Cited by 22
Whole Grain Intake and Survival Among Scandinavian Colorectal Cancer Patients
Skeie, G., Braaten, T., Olsen, A., Kyrø, C., Tjønneland, A. M., Nilsson, L. M., Landberg, R., & Lund, E. (2013) · Nutrition and Cancer · doi:10.1080/01635581.2014.847472 · Cited by 22
Mis-reporting, previous health status and health status of family may seriously bias the association between food patterns and disease
Hörnell, A., Winkvist, A., Hallmans, G., Weinehall, L., & Johansson, I. (2010) · Nutrition Journal · doi:10.1186/1475-2891-9-48 · Cited by 22
Relative validity of a web-based food frequency questionnaire for Danish adolescents
Bjerregaard, A. A., Halldorsson, T. I., Kampmann, F. B., Olsen, S. F., & Tetens, I. (2018) · Nutrition Journal · doi:10.1186/s12937-018-0312-7 · Cited by 23
Alcohol Consumption and Risk of First-Time Venous Thromboembolism in Men and Women
Johansson, M., Johansson, L., Wennberg, M., & Lind, M. M. (2019) · Thrombosis and Haemostasis · doi:10.1055/s-0039-1681100 · Cited by 22
Climate impact from diet in relation to background and sociodemographic characteristics in the Västerbotten Intervention Programme
Strid, A., Hallström, E., Hjorth, T., Johansson, I., Lindahl, B., Sonesson, U., Winkvist, A., & Huseinovic, E. (2019) · Public Health Nutrition · doi:10.1017/s1368980019002131 · Cited by 22
Coffee consumption and risk of rare cancers in Scandinavian countries
Lukic, M., Nilsson, L. M., Skeie, G., Lindahl, B., & Braaten, T. (2018) · European Journal of Epidemiology · doi:10.1007/s10654-018-0369-9 · Cited by 21
Relative Validity of a Food Frequency Questionnaire Used to Assess Food Intake During a Dietary Intervention Study
Segovia‐Siapco, G., Singh, P. N., Haddad, E. H., & Sabaté, J. (2008) · Nutrition and Cancer · doi:10.1080/01635580802065294 · Cited by 21
Validity and reproducibility of two semi-quantitative alcohol frequency questionnaires for the Colombian population
Herrán, O. F., & Ardila, M. F. (2006) · Public Health Nutrition · doi:10.1079/phn2005880 · Cited by 22
Evaluation of plant sterol intake estimated with the Northern Sweden FFQ
Klingberg, S., Winkvist, A., Hallmans, G., & Johansson, I. (2012) · Public Health Nutrition · doi:10.1017/s1368980012003151 · Cited by 20
Health-related quality of life and prospective caries development
Åkesson, M.-L., Gerdin, E. W., Söderström, U., Lindahl, B., & Johansson, I. (2016) · BMC Oral Health · doi:10.1186/s12903-016-0166-3 · Cited by 20
Dietary fat intake and risk of epithelial ovarian cancer in the European Prospective Investigation into Cancer and Nutrition
Merritt, M. A., Ríboli, E., Weiderpass, E., Tsilidis, K. K., Overvad, K., Tjønneland, A. M., Hansen, L., Dossus, L., Fagherazzi, G., Baglietto, L., et al. (2014) · Cancer Epidemiology · doi:10.1016/j.canep.2014.07.011 · Cited by 19
Changes in food intake patterns during 2000–2007 and 2008–2016 in the population-based Northern Sweden Diet Database
Huseinovic, E., Hörnell, A., Johansson, I., Esberg, A., Lindahl, B., & Winkvist, A. (2019) · Nutrition Journal · doi:10.1186/s12937-019-0464-0 · Cited by 20
Healthy Eating Is Associated with Sarcopenia Risk in Physically Active Older Adults
Papaioannou, K.-G., Nilsson, A. E., Nilsson, L. M., & Kadi, F. (2021) · Nutrients · doi:10.3390/nu13082813 · Cited by 19
The relationship of alcohol use to weight loss in the context of behavioral weight loss treatment
Kase, C. A., Piers, A. D., Schaumberg, K., Forman, E. M., & Butryn, M. L. (2016) · Appetite · doi:10.1016/j.appet.2016.01.014 · Cited by 18
Comparison of dietary intake measured by a web-based FFQ and repeated 24-hour dietary recalls: the Hordaland Health Study
Sabir, Z., Rosendahl-Riise, H., Dierkes, J., Dahl, H. M., & Hjartåker, A. (2022) · Journal of Nutritional Science · doi:10.1017/jns.2022.97 · Cited by 22
Modifiable cardiovascular risk factors in patients with ankylosing spondylitis
Sundström, B., Johansson, G. K., Johansson, I., & Wållberg‐Jonsson, S. (2013) · Clinical Rheumatology · doi:10.1007/s10067-013-2410-4 · Cited by 18
The combined effects of FADS gene variation and dietary fats in obesity-related traits in a population from the far north of Sweden: the GLACIER Study
Chen, Y., Estampador, A. C., Keller, M., Poveda, A., Dalla‐Riva, J., Johansson, I., Renström, F., Kurbasic, A., Franks, P. W., & Varga, T. V. (2018) · International Journal of Obesity · doi:10.1038/s41366-018-0112-3 · Cited by 18
Joint Analysis of Metabolite Markers of Fish Intake and Persistent Organic Pollutants in Relation to Type 2 Diabetes Risk in Swedish Adults
Shi, L. S., Brunius, C. F., Bergdahl, I. A., Johansson, I., Rolandsson, O., Donat‐Vargas, C., Kiviranta, H., Hanhineva, K., Åkesson, A., & Landberg, R. (2019) · Journal of Nutrition · doi:10.1093/jn/nxz068 · Cited by 18
Umbilical cord blood metabolome differs in relation to delivery mode, birth order and sex, maternal diet and possibly future allergy development in rural children
Ross, A. B., Barman, M., Hartvigsson, O., Lundell, A., Savolainen, O. I., Hesselmar, B., Wold, A. E., & Sandberg, A. (2021) · PLoS ONE · doi:10.1371/journal.pone.0242978 · Cited by 17
Long-term stability of the alcohol consumption biomarker phosphatidylethanol in erythrocytes at −80 °C
Lakso, H., Wuolikainen, A., Sundkvist, A., Johansson, I., & Marklund, S. L. (2018) · Clinical mass spectrometry · doi:10.1016/j.clinms.2018.12.002 · Cited by 17
A longitudinal study of prediagnostic metabolic biomarkers and the risk of molecular subtypes of colorectal cancer
Myte, R., Harlid, S., Sundkvist, A., Gylling, B., Häggström, J., Zingmark, C., Löfgren‐Burström, A., Palmqvist, R., & Guelpen, B. R. V. (2020) · Scientific Reports · doi:10.1038/s41598-020-62129-1 · Cited by 17
Reproducibility and relative validity of a food-frequency questionnaire for French-speaking Swiss adults
Marques-Vidal, P. M., Ross, A. B., Wynn, E., Rezzi, S., Paccaud, F., & Decarli, B. (2011) · Food & Nutrition Research · doi:10.3402/fnr.v55i0.59o5 · Cited by 17
Missing data in FFQs: making assumptions about item non-response
Lamb, K. E., Olstad, D. L., Nguyen, C. D., Milte, C. M., & McNaughton, S. A. (2016) · Public Health Nutrition · doi:10.1017/s1368980016002986 · Cited by 16
Healthy Oral Lifestyle Behaviours Are Associated with Favourable Composition and Function of the Oral Microbiota
Hallang, S., Esberg, A., Haworth, S., & Johansson, I. (2021) · Microorganisms · doi:10.3390/microorganisms9081674 · Cited by 10
Assessing local knowledge on the diversity and abundance of bushmeat species and hunting pressure in the fragmented forest islands of southern Benin (Dahomey Gap)
Djagoun, C. A. M. S., Gilles, N. A. G. O., Azihou, A. F., Vodouhê, F. G., Agli, A., Zanvo, S., Djossa, B. A., Assogbadjo, A. E., SINSIN, B. A., & Gaubert, P. (2022) · African Journal of Ecology · doi:10.1111/aje.12955 · Cited by 16
Mobility and muscle strength trajectories in old age: the beneficial effect of Mediterranean diet in combination with physical activity and social support
Saadeh, M., Prinelli, F., Vetrano, D. L., Xu, W., Welmer, A., Dekhtyar, S., Fratiglioni, L., & Calderón‐Larrañaga, A. (2021) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-021-01192-x · Cited by 16
Dietary intake assessment in women with different weight and pregnancy status using a short questionnaire
Svensson, Å., Renström, F., Bluck, L. J. C., Lissner, L., Franks, P. W., & Larsson, C. L. (2013) · Public Health Nutrition · doi:10.1017/s1368980013003042 · Cited by 16
Phosphatidylethanol Levels, As a Marker of Alcohol Consumption, Are Associated With Risk of Intracerebral Hemorrhage
Johansson, K., Johansson, L., Pennlert, J., Söderberg, S., Jansson, J., & Lind, M. M. (2020) · Stroke · doi:10.1161/strokeaha.120.029630 · Cited by 17
Aplicação de regressão linear para correção de dados dietéticos
Slater, B., Marchioni, D. M. L., & Voci, S. M. (2007) · Revista de Saúde Pública · doi:10.1590/s0034-89102007000200004 · Cited by 16
Gene-Lifestyle Interactions in Complex Diseases: Design and Description of the GLACIER and VIKING Studies
Kurbasic, A., Poveda, A., Chen, Y., Ågren, Å., Engberg, E., Hu, F. B., Johansson, I., Barroso, I., Brändström, A., Hallmans, G., et al. (2014) · Current Nutrition Reports · doi:10.1007/s13668-014-0100-8 · Cited by 16
Chapter 1 Biomedical Agriculture
Thompson, M. D., & Thompson, H. J. (2009) · Advances in agronomy · doi:10.1016/s0065-2113(09)01001-3 · Cited by 15

Authors: Johansson, I., Hallmans, G., Wikman, Å., Biessy, C., Riboli, E., & Kaaks, R.
Affiliations: Umeå University (SE)
Centre international de recherche sur le cancer (FR)
Corresponding author: Johansson, Ingegerd
ORCID: Johansson, Ingegerd
Biessy, Carine
Kaaks, Rudolf
Venue: Public Health Nutrition
Publisher: Cambridge University Press (CUP)
Published: 2002-06
Volume: 5
Issue: 3
Pages: 487-496
ISSN: 1368-9800 (ISSN-L)
1475-2727
DOI: 10.1079/phn2001315
OpenAlex: W2153856142
Cited by: 366
References: 35
Citations by year: 2026: 9 · 2025: 11 · 2024: 15 · 2023: 5 · 2022: 13 · 2021: 54 · 2020: 28 · 2019: 20 · 2018: 22 · 2017: 11 · 2016: 18 · 2015: 14 · 2014: 16 · 2013: 10 · 2012: 13
FWCI: 5.93
Type: journal article
Language: en
Open access: bronze
doi.org
Licence: www.cambridge.org/core/terms (unspecified, 1676 d)
Locations: Public Health Nutrition (publishedVersion)
PubMed (publishedVersion)
Funders: Cancerfonden
Vetenskapsrådet
Topics: Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutritional Studies and Diet
Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutrition and Health Studies
Keywords: food frequency questionnaire, 24-hour dietary recall, dietary assessment validation, questionnaire calibration, reproducibility, nutrient intake, energy intake, EPIC study, MONICA study, alcohol consumption, fibre intake, vitamin C, retinol, sucrose, cholesterol, day-to-day variability, relative risk
MeSH terms: Adult, Diet Surveys, Female, Food Preferences, Humans, Male, Middle Aged, Surveys and Questionnaires, Sweden, Reproducibility of Results, Cohort Studies, Diet Records, Linear Models, beta Carotene

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

Validation and calibration of food-frequency questionnaire measurements in the Northern Sweden Health and Disease cohort

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Self-check

Citations

Cites

Cited by

Related

Metadata

Record

About these checks