Prospective Associations Between Socio-economic Status and Dietary Patterns in European Children: The Identification and Prevention of Dietary- and Lifestyle-induced Health Effects in Children and Infants (IDEFICS) Study

Juan M. Fernandez-Alvira, Claudia Börnhorst, Karin Bammann, Wencke Gwozdz, Vittorio Krogh, Antje Hebestreit, Gianvincenzo Barba, Lucia Reisch, Gabriele Eiben, Iris Iglesia, Toomas Veidebaum, Yiannis Kourides, Eva Kovács, Inge Huybrechts, Iris Pigeot, Luis A. Moreno

    Research output: Contribution to journalJournal articleResearchpeer-review

    153 Downloads (Pure)

    Abstract

    Exploring changes in children's diet over time and the relationship between these changes and socio-economic status (SES) may help to understand the impact of social inequalities on dietary patterns. The aim of the present study was to describe dietary patterns by applying a cluster analysis to 9301 children participating in the baseline (2–9 years old) and follow-up (4–11 years old) surveys of the Identification and Prevention of Dietary- and Lifestyle-induced Health Effects in Children and Infants Study, and to describe the cluster memberships of these children over time and their association with SES. We applied the K-means clustering algorithm based on the similarities between the relative frequencies of consumption of forty-two food items. The following three consistent clusters were obtained at baseline and follow-up: processed (higher frequency of consumption of snacks and fast food); sweet (higher frequency of consumption of sweet foods and sweetened drinks); healthy (higher frequency of consumption of fruits, vegetables and wholemeal products). Children with higher-educated mothers and fathers and the highest household income were more likely to be allocated to the healthy cluster at baseline and follow-up and less likely to be allocated to the sweet cluster. Migrants were more likely to be allocated to the processed cluster at baseline and follow-up. Applying the cluster analysis to derive dietary patterns at the two time points allowed us to identify groups of children from a lower socio-economic background presenting persistently unhealthier dietary profiles. This finding reflects the need for healthy eating interventions specifically targeting children from lower socio-economic backgrounds.
    Original languageEnglish
    JournalBritish Journal of Nutrition
    Volume113
    Issue number3
    Pages (from-to)517-525
    Number of pages9
    ISSN0007-1145
    DOIs
    Publication statusPublished - 2015

    Cite this

    Fernandez-Alvira, Juan M. ; Börnhorst, Claudia ; Bammann, Karin ; Gwozdz, Wencke ; Krogh, Vittorio ; Hebestreit, Antje ; Barba, Gianvincenzo ; Reisch, Lucia ; Eiben, Gabriele ; Iglesia, Iris ; Veidebaum, Toomas ; Kourides, Yiannis ; Kovács, Eva ; Huybrechts, Inge ; Pigeot, Iris ; Moreno, Luis A. / Prospective Associations Between Socio-economic Status and Dietary Patterns in European Children : The Identification and Prevention of Dietary- and Lifestyle-induced Health Effects in Children and Infants (IDEFICS) Study. In: British Journal of Nutrition. 2015 ; Vol. 113, No. 3. pp. 517-525.
    @article{e6f08dd5e0644e86a134809b3d7c10cc,
    title = "Prospective Associations Between Socio-economic Status and Dietary Patterns in European Children: The Identification and Prevention of Dietary- and Lifestyle-induced Health Effects in Children and Infants (IDEFICS) Study",
    abstract = "Exploring changes in children's diet over time and the relationship between these changes and socio-economic status (SES) may help to understand the impact of social inequalities on dietary patterns. The aim of the present study was to describe dietary patterns by applying a cluster analysis to 9301 children participating in the baseline (2–9 years old) and follow-up (4–11 years old) surveys of the Identification and Prevention of Dietary- and Lifestyle-induced Health Effects in Children and Infants Study, and to describe the cluster memberships of these children over time and their association with SES. We applied the K-means clustering algorithm based on the similarities between the relative frequencies of consumption of forty-two food items. The following three consistent clusters were obtained at baseline and follow-up: processed (higher frequency of consumption of snacks and fast food); sweet (higher frequency of consumption of sweet foods and sweetened drinks); healthy (higher frequency of consumption of fruits, vegetables and wholemeal products). Children with higher-educated mothers and fathers and the highest household income were more likely to be allocated to the healthy cluster at baseline and follow-up and less likely to be allocated to the sweet cluster. Migrants were more likely to be allocated to the processed cluster at baseline and follow-up. Applying the cluster analysis to derive dietary patterns at the two time points allowed us to identify groups of children from a lower socio-economic background presenting persistently unhealthier dietary profiles. This finding reflects the need for healthy eating interventions specifically targeting children from lower socio-economic backgrounds.",
    keywords = "Cluster Analysis, Dietary Behaviour, FFQ, Income, Maternal Education, Paternal Education",
    author = "Fernandez-Alvira, {Juan M.} and Claudia B{\"o}rnhorst and Karin Bammann and Wencke Gwozdz and Vittorio Krogh and Antje Hebestreit and Gianvincenzo Barba and Lucia Reisch and Gabriele Eiben and Iris Iglesia and Toomas Veidebaum and Yiannis Kourides and Eva Kov{\'a}cs and Inge Huybrechts and Iris Pigeot and Moreno, {Luis A.}",
    year = "2015",
    doi = "10.1017/S0007114514003663",
    language = "English",
    volume = "113",
    pages = "517--525",
    journal = "British Journal of Nutrition",
    issn = "0007-1145",
    publisher = "Cambridge University Press",
    number = "3",

    }

    Fernandez-Alvira, JM, Börnhorst, C, Bammann, K, Gwozdz, W, Krogh, V, Hebestreit, A, Barba, G, Reisch, L, Eiben, G, Iglesia, I, Veidebaum, T, Kourides, Y, Kovács, E, Huybrechts, I, Pigeot, I & Moreno, LA 2015, 'Prospective Associations Between Socio-economic Status and Dietary Patterns in European Children: The Identification and Prevention of Dietary- and Lifestyle-induced Health Effects in Children and Infants (IDEFICS) Study', British Journal of Nutrition, vol. 113, no. 3, pp. 517-525. https://doi.org/10.1017/S0007114514003663

    Prospective Associations Between Socio-economic Status and Dietary Patterns in European Children : The Identification and Prevention of Dietary- and Lifestyle-induced Health Effects in Children and Infants (IDEFICS) Study. / Fernandez-Alvira, Juan M.; Börnhorst, Claudia; Bammann, Karin; Gwozdz, Wencke; Krogh, Vittorio; Hebestreit, Antje; Barba, Gianvincenzo; Reisch, Lucia; Eiben, Gabriele; Iglesia, Iris; Veidebaum, Toomas; Kourides, Yiannis; Kovács, Eva; Huybrechts, Inge; Pigeot, Iris; Moreno, Luis A.

    In: British Journal of Nutrition, Vol. 113, No. 3, 2015, p. 517-525.

    Research output: Contribution to journalJournal articleResearchpeer-review

    TY - JOUR

    T1 - Prospective Associations Between Socio-economic Status and Dietary Patterns in European Children

    T2 - The Identification and Prevention of Dietary- and Lifestyle-induced Health Effects in Children and Infants (IDEFICS) Study

    AU - Fernandez-Alvira, Juan M.

    AU - Börnhorst, Claudia

    AU - Bammann, Karin

    AU - Gwozdz, Wencke

    AU - Krogh, Vittorio

    AU - Hebestreit, Antje

    AU - Barba, Gianvincenzo

    AU - Reisch, Lucia

    AU - Eiben, Gabriele

    AU - Iglesia, Iris

    AU - Veidebaum, Toomas

    AU - Kourides, Yiannis

    AU - Kovács, Eva

    AU - Huybrechts, Inge

    AU - Pigeot, Iris

    AU - Moreno, Luis A.

    PY - 2015

    Y1 - 2015

    N2 - Exploring changes in children's diet over time and the relationship between these changes and socio-economic status (SES) may help to understand the impact of social inequalities on dietary patterns. The aim of the present study was to describe dietary patterns by applying a cluster analysis to 9301 children participating in the baseline (2–9 years old) and follow-up (4–11 years old) surveys of the Identification and Prevention of Dietary- and Lifestyle-induced Health Effects in Children and Infants Study, and to describe the cluster memberships of these children over time and their association with SES. We applied the K-means clustering algorithm based on the similarities between the relative frequencies of consumption of forty-two food items. The following three consistent clusters were obtained at baseline and follow-up: processed (higher frequency of consumption of snacks and fast food); sweet (higher frequency of consumption of sweet foods and sweetened drinks); healthy (higher frequency of consumption of fruits, vegetables and wholemeal products). Children with higher-educated mothers and fathers and the highest household income were more likely to be allocated to the healthy cluster at baseline and follow-up and less likely to be allocated to the sweet cluster. Migrants were more likely to be allocated to the processed cluster at baseline and follow-up. Applying the cluster analysis to derive dietary patterns at the two time points allowed us to identify groups of children from a lower socio-economic background presenting persistently unhealthier dietary profiles. This finding reflects the need for healthy eating interventions specifically targeting children from lower socio-economic backgrounds.

    AB - Exploring changes in children's diet over time and the relationship between these changes and socio-economic status (SES) may help to understand the impact of social inequalities on dietary patterns. The aim of the present study was to describe dietary patterns by applying a cluster analysis to 9301 children participating in the baseline (2–9 years old) and follow-up (4–11 years old) surveys of the Identification and Prevention of Dietary- and Lifestyle-induced Health Effects in Children and Infants Study, and to describe the cluster memberships of these children over time and their association with SES. We applied the K-means clustering algorithm based on the similarities between the relative frequencies of consumption of forty-two food items. The following three consistent clusters were obtained at baseline and follow-up: processed (higher frequency of consumption of snacks and fast food); sweet (higher frequency of consumption of sweet foods and sweetened drinks); healthy (higher frequency of consumption of fruits, vegetables and wholemeal products). Children with higher-educated mothers and fathers and the highest household income were more likely to be allocated to the healthy cluster at baseline and follow-up and less likely to be allocated to the sweet cluster. Migrants were more likely to be allocated to the processed cluster at baseline and follow-up. Applying the cluster analysis to derive dietary patterns at the two time points allowed us to identify groups of children from a lower socio-economic background presenting persistently unhealthier dietary profiles. This finding reflects the need for healthy eating interventions specifically targeting children from lower socio-economic backgrounds.

    KW - Cluster Analysis

    KW - Dietary Behaviour

    KW - FFQ

    KW - Income

    KW - Maternal Education

    KW - Paternal Education

    UR - http://sfx-45cbs.hosted.exlibrisgroup.com/45cbs?url_ver=Z39.88-2004&url_ctx_fmt=info:ofi/fmt:kev:mtx:ctx&ctx_enc=info:ofi/enc:UTF-8&ctx_ver=Z39.88-2004&rfr_id=info:sid/sfxit.com:azlist&sfx.ignore_date_threshold=1&rft.object_id=954925250109&rft.object_portfolio_id=&svc.holdings=yes&svc.fulltext=yes

    U2 - 10.1017/S0007114514003663

    DO - 10.1017/S0007114514003663

    M3 - Journal article

    VL - 113

    SP - 517

    EP - 525

    JO - British Journal of Nutrition

    JF - British Journal of Nutrition

    SN - 0007-1145

    IS - 3

    ER -