IDEAS home Printed from https://ideas.repec.org/a/spr/ijphth/v64y2019i4d10.1007_s00038-019-01239-8.html
   My bibliography  Save this article

Obesity risk in women of childbearing age in New Zealand: a nationally representative cross-sectional study

Author

Listed:
  • Matthew Hobbs

    (University of Canterbury (Te Whare Wānanga o Waitaha))

  • Melanie Tomintz

    (University of Canterbury (Te Whare Wānanga o Waitaha))

  • John McCarthy

    (Ministry of Health (Manatū Hauora))

  • Lukas Marek

    (University of Canterbury (Te Whare Wānanga o Waitaha))

  • Clémence Vannier

    (University of Canterbury (Te Whare Wānanga o Waitaha))

  • Malcolm Campbell

    (University of Canterbury (Te Whare Wānanga o Waitaha)
    University of Canterbury (Te Whare Wānanga o Waitaha))

  • Simon Kingham

    (University of Canterbury (Te Whare Wānanga o Waitaha)
    University of Canterbury (Te Whare Wānanga o Waitaha))

Abstract

Objectives To investigate risk factors for women with obesity of childbearing age. Methods A cross-sectional survey of New Zealand women (15–49 years) with measured height and weight was used [unweighted (n = 3625) and weighted analytical sample (n = 1,098,372)] alongside sociodemographic-, behavioural- and environmental-level predictors. Multilevel logistic regression weighted for non-response of height and weight data was used. Results Meeting physical activity guidelines (AOR (adjusted odds ratio) 0.66, 95% CI 0.54–0.80), Asian (AOR 0.15, 95% CI 0.10–0.23) and European/other ethnicity (AOR 0.46, 95% CI 0.36–0.58) and an increased availability of public greenspace (Q4 AOR 0.55, 95% CI 0.41–0.75) were related to decreased obesity risk. Older age (45–49 years AOR 3.01, 95% CI 2.17–4.16), Pacific ethnicity (AOR 2.81, 95% CI 1.87–4.22), residing in deprived areas (AOR 1.65, 95% CI 1.16–2.35) or secondary urban areas (AOR 1.49, 95% CI 1.03–2.18) were related to increased obesity risk. When examined by rural/urban classification, private greenspace was only related to increased obesity risk in main urban areas. Conclusions This study highlights factors including but not limited to public greenspace, which inform obesity interventions for women of childbearing age in New Zealand.

Suggested Citation

  • Matthew Hobbs & Melanie Tomintz & John McCarthy & Lukas Marek & Clémence Vannier & Malcolm Campbell & Simon Kingham, 2019. "Obesity risk in women of childbearing age in New Zealand: a nationally representative cross-sectional study," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 64(4), pages 625-635, May.
  • Handle: RePEc:spr:ijphth:v:64:y:2019:i:4:d:10.1007_s00038-019-01239-8
    DOI: 10.1007/s00038-019-01239-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s00038-019-01239-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s00038-019-01239-8?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Mei-Po Kwan, 2018. "The Limits of the Neighborhood Effect: Contextual Uncertainties in Geographic, Environmental Health, and Social Science Research," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 108(6), pages 1482-1490, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Junghwan Kim & Mei-Po Kwan, 2018. "Beyond Commuting: Ignoring Individuals’ Activity-Travel Patterns May Lead to Inaccurate Assessments of Their Exposure to Traffic Congestion," IJERPH, MDPI, vol. 16(1), pages 1-20, December.
    2. Dongyang Yang & Chao Ye & Jianhua Xu, 2021. "Land-Use Change and Health Risks in the Process of Urbanization: A Spatiotemporal Interpretation of a Typical Case in Changzhou, China," Land, MDPI, vol. 10(8), pages 1-13, August.
    3. Jeremy Mennis & Michael Mason & Donna L. Coffman & Kevin Henry, 2018. "Geographic Imputation of Missing Activity Space Data from Ecological Momentary Assessment (EMA) GPS Positions," IJERPH, MDPI, vol. 15(12), pages 1-15, December.
    4. Krista Schroeder & Levent Dumenci & David B. Sarwer & Jennie G. Noll & Kevin A. Henry & Shakira F. Suglia & Christine M. Forke & David C. Wheeler, 2022. "The Intersection of Neighborhood Environment and Adverse Childhood Experiences: Methods for Creation of a Neighborhood ACEs Index," IJERPH, MDPI, vol. 19(13), pages 1-19, June.
    5. Jong Cheol Shin & Mei-Po Kwan & Diana S. Grigsby-Toussaint, 2020. "Do Spatial Boundaries Matter for Exploring the Impact of Community Green Spaces on Health?," IJERPH, MDPI, vol. 17(20), pages 1-17, October.
    6. Jamie L. Humphrey & Colleen E. Reid & Ellen J. Kinnee & Laura D. Kubzansky & Lucy F. Robinson & Jane E. Clougherty, 2019. "Putting Co-Exposures on Equal Footing: An Ecological Analysis of Same-Scale Measures of Air Pollution and Social Factors on Cardiovascular Disease in New York City," IJERPH, MDPI, vol. 16(23), pages 1-19, November.
    7. Pereira, Rafael H.M., 2019. "Future accessibility impacts of transport policy scenarios: Equity and sensitivity to travel time thresholds for Bus Rapid Transit expansion in Rio de Janeiro," Journal of Transport Geography, Elsevier, vol. 74(C), pages 321-332.
    8. Yang, Wei & Hu, Jie & Liu, Yong & Guo, Wenbo, 2023. "Examining the influence of neighborhood and street-level built environment on fitness jogging in Chengdu, China: A massive GPS trajectory data analysis," Journal of Transport Geography, Elsevier, vol. 108(C).
    9. Connor, Dylan Shane & Berg, Aleksander K & Kemeny, Tom & Kedron, Peter, 2023. "Who gets left behind by left behind places?," SocArXiv nkydt, Center for Open Science.
    10. Lingling Su & Suhong Zhou & Mei-Po Kwan & Yanwei Chai & Xue Zhang, 2022. "The impact of immediate urban environments on people’s momentary happiness," Urban Studies, Urban Studies Journal Limited, vol. 59(1), pages 140-160, January.
    11. Shen, Yue & Luo, Xueyao, 2023. "Linking spatial and temporal contexts to multi-contextual segregation by hukou status in urban China," Journal of Transport Geography, Elsevier, vol. 107(C).
    12. Xinlin Ma & Xijing Li & Mei-Po Kwan & Yanwei Chai, 2020. "Who Could Not Avoid Exposure to High Levels of Residence-Based Pollution by Daily Mobility? Evidence of Air Pollution Exposure from the Perspective of the Neighborhood Effect Averaging Problem (NEAP)," IJERPH, MDPI, vol. 17(4), pages 1-19, February.
    13. Alireza Moghayedi & Abid Mehmood & Kathy Michell & Christiana Okobi Ekpo, 2023. "Modeling the Neighborhood Wellbeing of Townships in South Africa," Sustainability, MDPI, vol. 15(11), pages 1-21, May.
    14. Tao, Yinhua & Chai, Yanwei & Zhang, Xue & Yang, Jie & Kwan, Mei-Po, 2021. "Mobility-based environmental justice: Understanding housing disparity in real-time exposure to air pollution and momentary psychological stress in Beijing, China," Social Science & Medicine, Elsevier, vol. 287(C).
    15. Lirong Kou & Mei-Po Kwan & Yanwei Chai, 2021. "The effects of activity-related contexts on individual sound exposures: A time–geographic approach to soundscape studies," Environment and Planning B, , vol. 48(7), pages 2073-2092, September.
    16. Mei-Po Kwan, 2018. "The Neighborhood Effect Averaging Problem (NEAP): An Elusive Confounder of the Neighborhood Effect," IJERPH, MDPI, vol. 15(9), pages 1-4, August.
    17. Jue Wang & Mei-Po Kwan, 2018. "An Analytical Framework for Integrating the Spatiotemporal Dynamics of Environmental Context and Individual Mobility in Exposure Assessment: A Study on the Relationship between Food Environment Exposu," IJERPH, MDPI, vol. 15(9), pages 1-24, September.
    18. Siyu Ma & Lin Yang & Mei-Po Kwan & Zejun Zuo & Haoyue Qian & Minghao Li, 2021. "Do Individuals’ Activity Structures Influence Their PM 2 . 5 Exposure Levels? Evidence from Human Trajectory Data in Wuhan City," IJERPH, MDPI, vol. 18(9), pages 1-27, April.
    19. Jooseok Oh, 2020. "Residential Mobility and Quality of Life between Metropolitan Areas: The Case of South Korea," Sustainability, MDPI, vol. 12(20), pages 1-14, October.
    20. Sultan Kocaman & Nadire Ozdemir, 2020. "Improvement of Disability Rights via Geographic Information Science," Sustainability, MDPI, vol. 12(14), pages 1-17, July.

    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:spr:ijphth:v:64:y:2019:i:4:d:10.1007_s00038-019-01239-8. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.