5 datasets found
  1. f

    Should the WHO Growth Charts Be Used in France?

    • plos.figshare.com
    • data.niaid.nih.gov
    • +2more
    tiff
    Updated Jun 7, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Pauline Scherdel; Jérémie Botton; Marie-Françoise Rolland-Cachera; Juliane Léger; Fabienne Pelé; Pierre Yves Ancel; Chantal Simon; Katia Castetbon; Benoit Salanave; Hélène Thibault; Sandrine Lioret; Sandrine Péneau; Gaelle Gusto; Marie-Aline Charles; Barbara Heude (2023). Should the WHO Growth Charts Be Used in France? [Dataset]. http://doi.org/10.1371/journal.pone.0120806
    Explore at:
    tiffAvailable download formats
    Dataset updated
    Jun 7, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Pauline Scherdel; Jérémie Botton; Marie-Françoise Rolland-Cachera; Juliane Léger; Fabienne Pelé; Pierre Yves Ancel; Chantal Simon; Katia Castetbon; Benoit Salanave; Hélène Thibault; Sandrine Lioret; Sandrine Péneau; Gaelle Gusto; Marie-Aline Charles; Barbara Heude
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    France
    Description

    BackgroundGrowth charts are an essential clinical tool for evaluating a child's health and development. The current French reference curves, published in 1979, have recently been challenged by the 2006 World Health Organization (WHO) growth charts.ObjectiveTo evaluate and compare the growth of French children who were born between 1981 and 2007, with the WHO growth charts and the French reference curves currently used.DesignAnthropometric measurements from French children, who participated in 12 studies, were analyzed: 82,151 measurements were available for 27,257 children in different age groups, from birth to 18 years. We calculated and graphically compared mean z-scores based on the WHO and French curves, for height, weight and Body Mass Index (BMI) according to age and sex. The prevalence of overweight using the WHO, the French and International Obesity Task Force definitions were compared.ResultsOur population of children was on average 0.5 standard deviations taller than the French reference population, from the first month of life until puberty age. Mean z-scores for height, weight and BMI were closer to zero based on the WHO growth charts than on the French references from infancy until late adolescence, except during the first six months. These differences not related to breastfeeding rates. As expected, the prevalence of overweight depended on the reference used, and differences varied according to age.ConclusionThe WHO growth charts may be appropriate for monitoring growth of French children, as the growth patterns in our large population of French children were closer to the WHO growth charts than to the French reference curves, from 6 months onwards. However, there were some limitations in the use of these WHO growth charts, and further investigation is needed.

  2. Proportion of adults who are obese, by sex

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • hub.arcgis.com
    Updated Mar 7, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    UN DESA Statistics Division (2024). Proportion of adults who are obese, by sex [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/undesa::proportion-of-adults-who-are-obese-by-sex/about
    Explore at:
    Dataset updated
    Mar 7, 2024
    Dataset provided by
    United Nations Department of Economic and Social Affairshttps://www.un.org/en/desa
    Authors
    UN DESA Statistics Division
    Description

    Data Series: Proportion of adults who are obese, by sex Indicator: III.7 - Proportion of adults who are obese, by sex Source year: 2022 This dataset is part of the Minimum Gender Dataset compiled by the United Nations Statistics Division. Domain: Health and related services

  3. f

    Percentage of children classified as overweight (including obesity), obese...

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Pauline Scherdel; Jérémie Botton; Marie-Françoise Rolland-Cachera; Juliane Léger; Fabienne Pelé; Pierre Yves Ancel; Chantal Simon; Katia Castetbon; Benoit Salanave; Hélène Thibault; Sandrine Lioret; Sandrine Péneau; Gaelle Gusto; Marie-Aline Charles; Barbara Heude (2023). Percentage of children classified as overweight (including obesity), obese and at risk of overweight. [Dataset]. http://doi.org/10.1371/journal.pone.0120806.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Pauline Scherdel; Jérémie Botton; Marie-Françoise Rolland-Cachera; Juliane Léger; Fabienne Pelé; Pierre Yves Ancel; Chantal Simon; Katia Castetbon; Benoit Salanave; Hélène Thibault; Sandrine Lioret; Sandrine Péneau; Gaelle Gusto; Marie-Aline Charles; Barbara Heude
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    SD: Standard Deviation; IOTF: International Obesity Task ForceC-25 and C-30 correspond to centiles that match BMI 25 and 30 kg/m2 at 18 years†WHO > 1 SD correspond to WHO > 85th‡WHO > 2 SD correspond to WHO > 97.7th*Overweight includes ‘obesity’**At risk of overweight includes ‘overweight’ and ‘obesity’Percentage of children classified as overweight (including obesity), obese and at risk of overweight.

  4. Multivariate analysis of the association between BMI category and...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated May 30, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Elisé G. Kaboré; Charles Guenancia; Ines Vaz-Luis; Antonio Di Meglio; Barbara Pistilli; Charles Coutant; Paul Cottu; Anne Lesur; Thierry Petit; Florence Dalenc; Philippe Rouanet; Antoine Arnaud; Olivier Arsene; Mahmoud Ibrahim; Johanna Wassermann; Geneviève Boileau-Jolimoy; Anne-Laure Martin; Jérôme Lemonnier; Fabrice André; Patrick Arveux (2023). Multivariate analysis of the association between BMI category and cardiotoxicity. [Dataset]. http://doi.org/10.1371/journal.pmed.1002989.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Elisé G. Kaboré; Charles Guenancia; Ines Vaz-Luis; Antonio Di Meglio; Barbara Pistilli; Charles Coutant; Paul Cottu; Anne Lesur; Thierry Petit; Florence Dalenc; Philippe Rouanet; Antoine Arnaud; Olivier Arsene; Mahmoud Ibrahim; Johanna Wassermann; Geneviève Boileau-Jolimoy; Anne-Laure Martin; Jérôme Lemonnier; Fabrice André; Patrick Arveux
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Multivariate analysis of the association between BMI category and cardiotoxicity.

  5. f

    Percentage of children 4–5 yrs who consumed the right portion size before...

    • plos.figshare.com
    xls
    Updated Jun 21, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Greta Lattanzi; Claudia Di Rosa; Chiara Spiezia; Roberto Sacco; Samanta Cattafi; Leonardo Romano; Domenico Benvenuto; Silvia Fabris; Laura De Gara; Yeganeh Manon Khazrai (2023). Percentage of children 4–5 yrs who consumed the right portion size before and after the use of “Nutripiatto”. [Dataset]. http://doi.org/10.1371/journal.pone.0282748.t004
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Greta Lattanzi; Claudia Di Rosa; Chiara Spiezia; Roberto Sacco; Samanta Cattafi; Leonardo Romano; Domenico Benvenuto; Silvia Fabris; Laura De Gara; Yeganeh Manon Khazrai
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Percentage of children 4–5 yrs who consumed the right portion size before and after the use of “Nutripiatto”.

  6. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Pauline Scherdel; Jérémie Botton; Marie-Françoise Rolland-Cachera; Juliane Léger; Fabienne Pelé; Pierre Yves Ancel; Chantal Simon; Katia Castetbon; Benoit Salanave; Hélène Thibault; Sandrine Lioret; Sandrine Péneau; Gaelle Gusto; Marie-Aline Charles; Barbara Heude (2023). Should the WHO Growth Charts Be Used in France? [Dataset]. http://doi.org/10.1371/journal.pone.0120806

Should the WHO Growth Charts Be Used in France?

Explore at:
25 scholarly articles cite this dataset (View in Google Scholar)
tiffAvailable download formats
Dataset updated
Jun 7, 2023
Dataset provided by
PLOS ONE
Authors
Pauline Scherdel; Jérémie Botton; Marie-Françoise Rolland-Cachera; Juliane Léger; Fabienne Pelé; Pierre Yves Ancel; Chantal Simon; Katia Castetbon; Benoit Salanave; Hélène Thibault; Sandrine Lioret; Sandrine Péneau; Gaelle Gusto; Marie-Aline Charles; Barbara Heude
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Area covered
France
Description

BackgroundGrowth charts are an essential clinical tool for evaluating a child's health and development. The current French reference curves, published in 1979, have recently been challenged by the 2006 World Health Organization (WHO) growth charts.ObjectiveTo evaluate and compare the growth of French children who were born between 1981 and 2007, with the WHO growth charts and the French reference curves currently used.DesignAnthropometric measurements from French children, who participated in 12 studies, were analyzed: 82,151 measurements were available for 27,257 children in different age groups, from birth to 18 years. We calculated and graphically compared mean z-scores based on the WHO and French curves, for height, weight and Body Mass Index (BMI) according to age and sex. The prevalence of overweight using the WHO, the French and International Obesity Task Force definitions were compared.ResultsOur population of children was on average 0.5 standard deviations taller than the French reference population, from the first month of life until puberty age. Mean z-scores for height, weight and BMI were closer to zero based on the WHO growth charts than on the French references from infancy until late adolescence, except during the first six months. These differences not related to breastfeeding rates. As expected, the prevalence of overweight depended on the reference used, and differences varied according to age.ConclusionThe WHO growth charts may be appropriate for monitoring growth of French children, as the growth patterns in our large population of French children were closer to the WHO growth charts than to the French reference curves, from 6 months onwards. However, there were some limitations in the use of these WHO growth charts, and further investigation is needed.

Search
Clear search
Close search
Google apps
Main menu