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A Simple Tool for Diet Evaluation in Primary Health Care: Validation of a 16-Item Food Intake Questionnaire

Author

Listed:
  • Katri Hemiö

    (Department of Chronic Disease Prevention, National Institute for Health and Welfare, P.O. Box 30, FI-00271 Helsinki, Finland
    Development of Work and Organizations, Finnish Institute of Occupational Health, Topeliuksenkatu 41 a A, FI-00250 Helsinki, Finland)

  • Auli Pölönen

    (The Prevention Project of Diabetes and Cardiovascular Diseases, Pirkanmaa Hospital District, P.O. Box 2000, FI-33521 Tampere, Finland
    These authors contributed equally to this work.)

  • Kirsti Ahonen

    (Tampere University Hospital, P.O. Box 2000, FI-33521 Tampere, Finland
    These authors contributed equally to this work.)

  • Mikko Kosola

    (Department of Chronic Disease Prevention, National Institute for Health and Welfare, P.O. Box 30, FI-00271 Helsinki, Finland
    These authors contributed equally to this work.)

  • Katriina Viitasalo

    (Finnair Health Services, IF/67, 01053 Finnair, Finland
    These authors contributed equally to this work.)

  • Jaana Lindström

    (Department of Chronic Disease Prevention, National Institute for Health and Welfare, P.O. Box 30, FI-00271 Helsinki, Finland
    These authors contributed equally to this work.)

Abstract

Our aim was to validate a 16-item food intake questionnaire (16-FIQ) and create an easy to use method to estimate patients’ nutrient intake in primary health care. Participants (52 men, 25 women) completed a 7-day food record and a 16-FIQ. Food and nutrient intakes were calculated and compared using Spearman correlation. Further, nutrient intakes were compared using kappa-statistics and exact and opposite agreement of intake tertiles. The results indicated that the 16-FIQ reliably categorized individuals according to their nutrient intakes. Methods to estimate nutrient intake based on the answers given in 16-FIQ were created. In linear regression models nutrient intake estimates from the food records were used as the dependent variables and sum variables derived from the 16-FIQ were used as the independent variables. Valid regression models were created for the energy proportion of fat, saturated fat, and sucrose and the amount of fibre (g), vitamin C (mg), iron (mg), and vitamin D (μg) intake. The 16-FIQ is a valid method for estimating nutrient intakes in group level. In addition, the 16-FIQ could be a useful tool to facilitate identification of people in need of dietary counselling and to monitor the effect of counselling in primary health care.

Suggested Citation

  • Katri Hemiö & Auli Pölönen & Kirsti Ahonen & Mikko Kosola & Katriina Viitasalo & Jaana Lindström, 2014. "A Simple Tool for Diet Evaluation in Primary Health Care: Validation of a 16-Item Food Intake Questionnaire," IJERPH, MDPI, vol. 11(3), pages 1-15, March.
    • Handle: RePEc:gam:jijerp:v:11:y:2014:i:3:p:2683-2697:d:33639
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    Citations

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    Cited by:

    1. Jaana Lindström & Kirsikka Aittola & Auli Pölönen & Katri Hemiö & Kirsti Ahonen & Leila Karhunen & Reija Männikkö & Ulla Siljamäki-Ojansuu & Tanja Tilles-Tirkkonen & Eeva Virtanen & Jussi Pihlajamäki , 2021. "Formation and Validation of the Healthy Diet Index (HDI) for Evaluation of Diet Quality in Healthcare," IJERPH, MDPI, vol. 18(5), pages 1-22, February.
    2. Noël C. Barengo & Tania Acosta & Astrid Arrieta & Carlos Ricaurte & Dins Smits & Karen Florez & Jaakko O. Tuomilehto, 2019. "Early Lifestyle Interventions in People with Impaired Glucose Tolerance in Northern Colombia: The DEMOJUAN Project," IJERPH, MDPI, vol. 16(8), pages 1-13, April.

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