IDEAS home Printed from https://ideas.repec.org/a/plo/pmed00/1002817.html
   My bibliography  Save this article

The association between maternal body mass index and child obesity: A systematic review and meta-analysis

Author

Listed:
  • Nicola Heslehurst
  • Rute Vieira
  • Zainab Akhter
  • Hayley Bailey
  • Emma Slack
  • Lem Ngongalah
  • Augustina Pemu
  • Judith Rankin

Abstract

Background: There is a global obesity crisis, particularly among women and disadvantaged populations. Early-life intervention to prevent childhood obesity is a priority for public health, global health, and clinical practice. Understanding the association between childhood obesity and maternal pre-pregnancy weight status would inform policy and practice by allowing one to estimate the potential for offspring health gain through channelling resources into intervention. This systematic review and meta-analysis aimed to examine the dose–response association between maternal body mass index (BMI) and childhood obesity in the offspring. Methods and findings: Searches in MEDLINE, Child Development & Adolescent Studies, CINAHL, Embase, and PsycInfo were carried out in August 2017 and updated in March 2019. Supplementary searches included hand-searching reference lists, performing citation searching, and contacting authors. Two researchers carried out independent screening, data extraction, and quality assessment. Observational studies published in English and reporting associations between continuous and/or categorical maternal and child BMI or z-score were included. Categorical outcomes were child obesity (≥95th percentile, primary outcome), overweight/obesity (≥85th percentile), and overweight (85th to 95th percentile). Linear and nonlinear dose–response meta-analyses were conducted using random effects models. Studies that could not be included in meta-analyses were summarised narratively. Seventy-nine of 41,301 studies identified met the inclusion criteria (n = 59 cohorts). Meta-analyses of child obesity included 20 studies (n = 88,872); child overweight/obesity, 22 studies (n = 181,800); and overweight, 10 studies (n = 53,238). Associations were nonlinear and there were significantly increased odds of child obesity with maternal obesity (odds ratio [OR] 3.64, 95% CI 2.68–4.95) and maternal overweight (OR 1.89, 95% CI 1.62–2.19). Significantly increased odds were observed for child overweight/obesity (OR 2.69, 95% CI 2.10–3.46) and for child overweight (OR 1.80, 95% CI 1.25, 2.59) with maternal obesity. A limitation of this research is that the included studies did not always report the data in a format that enabled inclusion in this complex meta-analysis. Conclusions: This research has identified a 264% increase in the odds of child obesity when mothers have obesity before conception. This study provides substantial evidence for the need to develop interventions that commence prior to conception, to support women of childbearing age with weight management in order to halt intergenerational obesity. Nicola Heslehurst and colleagues highlight the association between childhood obesity and maternal pre-pregnancy weight status.Why was this study done?: What did the researchers do and find?: What do these findings mean?:

Suggested Citation

  • Nicola Heslehurst & Rute Vieira & Zainab Akhter & Hayley Bailey & Emma Slack & Lem Ngongalah & Augustina Pemu & Judith Rankin, 2019. "The association between maternal body mass index and child obesity: A systematic review and meta-analysis," PLOS Medicine, Public Library of Science, vol. 16(6), pages 1-20, June.
  • Handle: RePEc:plo:pmed00:1002817
    DOI: 10.1371/journal.pmed.1002817
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1002817
    Download Restriction: no

    File URL: https://journals.plos.org/plosmedicine/article/file?id=10.1371/journal.pmed.1002817&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pmed.1002817?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Amos Mulu & Subas Neupane, 2023. "The Association of Maternal BMI with Overweight among Children Aged 0–59 Months in Kenya: A Nationwide Cross-Sectional Study," IJERPH, MDPI, vol. 20(2), pages 1-13, January.
    2. Gwinyai Masukume & Ali S Khashan & Susan M B Morton & Philip N Baker & Louise C Kenny & Fergus P McCarthy, 2019. "Caesarean section delivery and childhood obesity in a British longitudinal cohort study," PLOS ONE, Public Library of Science, vol. 14(10), pages 1-13, October.
    3. Mei-Hsin Hsu & Yu-Chieh Chen & Jiunn-Ming Sheen & Li-Tung Huang, 2020. "Maternal Obesity Programs Offspring Development and Resveratrol Potentially Reprograms the Effects of Maternal Obesity," IJERPH, MDPI, vol. 17(5), pages 1-15, March.
    4. Anisma R. Gokoel & Arti Shankar & Firoz Abdoel Wahid & Ashna D. Hindori-Mohangoo & Hannah H. Covert & Jeffrey K. Wickliffe & Emily W. Harville & Wilco C. W. R. Zijlmans & Maureen Y. Lichtveld, 2021. "The Cumulative Risk of Prenatal Exposures to Chemical and Non-Chemical Stressors on Birth Outcomes in Suriname," IJERPH, MDPI, vol. 18(14), pages 1-13, July.
    5. Agata Gaździńska & Paweł Jagielski & Marta Turczyńska & Łukasz Dziuda & Stefan Gaździński, 2022. "Assessment of Risk Factors for Development of Overweight and Obesity among Soldiers of Polish Armed Forces Participating in the National Health Programme 2016–2020," IJERPH, MDPI, vol. 19(5), pages 1-12, March.
    6. Bryan E. Shepherd & Kyunghee Han & Tong Chen & Aihua Bian & Shannon Pugh & Stephany N. Duda & Thomas Lumley & William J. Heerman & Pamela A. Shaw, 2023. "Multiwave validation sampling for error‐prone electronic health records," Biometrics, The International Biometric Society, vol. 79(3), pages 2649-2663, September.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pmed00:1002817. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosmedicine (email available below). General contact details of provider: https://journals.plos.org/plosmedicine/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.