• Disclosure
  • Privacy Policy
  • DMCA Policy
  • CCPA
  • Medical Disclaimer
Monday, September 25, 2023
Lubbock County News Online
  • Home
  • News
  • Business
  • Technology
    • Crytpocurrency
    • Gaming
    • Gadgets
  • Sports
  • Health
  • General
    • Business Services
  • Travel
  • Press Releases
  • Popular
No Result
View All Result
  • Home
  • News
  • Business
  • Technology
    • Crytpocurrency
    • Gaming
    • Gadgets
  • Sports
  • Health
  • General
    • Business Services
  • Travel
  • Press Releases
  • Popular
No Result
View All Result
No Result
View All Result
Home Health

Living In A Walkable Neighborhood Lowers Risk Of Excessive Weight Gain During Pregnancy – Science Daily

living-in-a-walkable-neighborhood-lowers-risk-of-excessive-weight-gain-during-pregnancy-–-science-daily
Share on FacebookShare on Twitter

In one of the first studies to examine the link between neighborhood characteristics and weight gain during pregnancy, Columbia University Mailman School of Public Health researchers find that pregnant people who live in walkable neighborhoods in New York City have lower odds of excessive gestational weight gain (GWG) than those who live elsewhere in the city. They also found that living in a neighborhood with high rates of poverty increased the odds of excessive GWG. The findings are published in the journal Obesity.

Excessive or inadequate weight gain during pregnancy poses numerous health risks for both pregnant individuals and children. Excessive GWG is associated with a higher risk of pregnancy complications, including pregnancy-related hypertension and greater long-term postpartum weight retention. Excessive GWG is also associated with the risk for childhood asthma and obesity. Earlier research by Columbia Mailman researchers found that GWG was linked with a three-fold increased risk of childhood obesity at age 7 and excessive maternal weight gain.

Neighborhood walkability refers to urban form characteristics that support and favor walking and is defined by criteria including population density, land-use mix, density of public transit infrastructure, and street connectivity. Residents of walkable neighborhoods have been shown to engage in more walking, greater overall physical activity, and to have lower body mass index (BMI). Walkable neighborhoods are associated with better control of blood sugar among people with Type II diabetes. The most walkable areas of New York City include Battery Park City, Greenwich Village, NoHo, SoHo, Little Italy, and the West Village (Manhattan CBs 1 and 2). The least walkable areas include neighborhoods in eastern Queens and parts of Staten Island (Queens CB13 and Staten Island CB2).

“Given the long-lasting benefits of healthy pregnancies for parental and child health, this research provides further impetus for the use of urban design and poverty reduction to support healthy weight and reduce the risk of excessive gestational weight gain and related health risks,” says the study’s first author, Eliza Kinsey, PhD, formerly a postdoctoral research scientist in the Department of Epidemiology, now an assistant professor at the University of Pennsylvania Perelman School of Medicine.

The current study was conducted in partnership with researchers at the New York City Department of Health and Mental Hygiene (DOHMH) Bureau of Vital Statistics and used de-identified birth record data for the year 2015 to examine neighborhood-level influences on GWG. Using medical record data, the DOHMH compiles data on all live births in the city, including basic health and demographic information for the pregnant individual and birth outcome statistics (e.g., birth weight, gestational age).

Among the sample of 106,285 births, 42 percent of the pregnant individuals experienced excessive GWG, and 26 percent had inadequate GWG. Pregnant people living in neighborhoods ranking among the poorest quarter of the city had an additional 17 percent greater odds of excessive GWG. Pregnant people living in the top quarter of neighborhoods ranked for walkability had 13 percent lower odds of excessive GWG. These findings align with prior studies in New York City that have found that both neighborhood poverty and walkability predict BMI in the general population.

Adjustment for pre-pregnancy BMI attenuated the association between neighborhood poverty and excessive GWG but had little impact on the association between neighborhood walkability and excessive GWG.

Senior author Andrew Rundle, DrPH, professor of epidemiology, noted: “Neighborhood walkability is likely associated with GWG due to differences in behavior during pregnancy, presumably walking for exercise and daily activities — not solely by influences on pre-pregnancy BMI. A significant amount of the exercise pregnant people get comes from low-impact activities like walking. Making neighborhoods more walkable has a host of health benefits, both for those currently living there and future generations.”

Co-authors of the current study include Elizabeth Widen, University of Texas at Austin; James Quinn, Columbia Mailman; Mary Huynh and Gretchen Van Wye, New York City Department of Health and Mental Hygiene; Gina Lovasi, Drexel University, Philadelphia; and Kathryn Neckerman, Columbia University Population Research Center.

The study was supported by Eunice Kennedy Shriver National Institute of Child Health and Human Development (grants HD101657, HD086304, HD042849)

Lubbock County News Online

© 2021 Lubbock County News Online

Navigate Site

  • Disclosure
  • Privacy Policy
  • DMCA Policy
  • CCPA
  • Medical Disclaimer

Follow Us

No Result
View All Result
  • Home
  • DMCA Policy
  • Medical Disclaimer
  • Privacy Policy
  • Disclosure
  • CCPA
  • Terms of Use

© 2021 Lubbock County News Online

We use cookies on our website to give you the most relevant experience by remembering your preferences and repeat visits. By clicking “Accept All”, you consent to the use of ALL the cookies. However, you may visit "Cookie Settings" to provide a controlled consent.
Cookie SettingsAccept All
Manage consent

Privacy Overview

This website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may affect your browsing experience.
Necessary
Always Enabled
Necessary cookies are absolutely essential for the website to function properly. These cookies ensure basic functionalities and security features of the website, anonymously.
CookieDurationDescription
cookielawinfo-checkbox-analytics11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics".
cookielawinfo-checkbox-functional11 monthsThe cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional".
cookielawinfo-checkbox-necessary11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary".
cookielawinfo-checkbox-others11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other.
cookielawinfo-checkbox-performance11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance".
viewed_cookie_policy11 monthsThe cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data.
Functional
Functional cookies help to perform certain functionalities like sharing the content of the website on social media platforms, collect feedbacks, and other third-party features.
Performance
Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.
Analytics
Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics the number of visitors, bounce rate, traffic source, etc.
Advertisement
Advertisement cookies are used to provide visitors with relevant ads and marketing campaigns. These cookies track visitors across websites and collect information to provide customized ads.
Others
Other uncategorized cookies are those that are being analyzed and have not been classified into a category as yet.
SAVE & ACCEPT