Evidence map›Paper›PMID 36787839›Full record

ArticleAmerican journal of obstetrics & gynecology MFM2023

Association of community walkability and glycemic control among pregnant individuals with pregestational diabetes mellitus.

Christine Field, Courtney D Lynch, Naleef Fareed, Joshua J Joseph, Jiqiang Wu, Stephen F Thung, Steven G Gabbe, Mark B Landon, William A Grobman, Kartik K Venkatesh

Open access · greenAbstract read
In one paragraph

Article in American journal of obstetrics & gynecology MFM, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.8field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 13 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Christine FieldDivision of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Ohio State University, Columbus, OH (Drs Field and Lynch, Mr Wu, and Drs Thung, Gabbe, Landon, Grobman, and Venkatesh). Electronic address: christine.field@osumc.edu.
Courtney D LynchDivision of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Ohio State University, Columbus, OH (Drs Field and Lynch, Mr Wu, and Drs Thung, Gabbe, Landon, Grobman, and Venkatesh).
Naleef FareedDepartment of Biomedical Informatics, Ohio State University College of Medicine, Columbus, OH (Dr Fareed).
Joshua J JosephDivision of Endocrinology, Diabetes and Metabolism, Department of Internal Medicine, Ohio State University College of Medicine, Columbus, OH (Dr Joseph).
Jiqiang WuDivision of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Ohio State University, Columbus, OH (Drs Field and Lynch, Mr Wu, and Drs Thung, Gabbe, Landon, Grobman, and Venkatesh).
Stephen F ThungDivision of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Ohio State University, Columbus, OH (Drs Field and Lynch, Mr Wu, and Drs Thung, Gabbe, Landon, Grobman, and Venkatesh).
Steven G GabbeDivision of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Ohio State University, Columbus, OH (Drs Field and Lynch, Mr Wu, and Drs Thung, Gabbe, Landon, Grobman, and Venkatesh).
Mark B LandonDivision of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Ohio State University, Columbus, OH (Drs Field and Lynch, Mr Wu, and Drs Thung, Gabbe, Landon, Grobman, and Venkatesh).
William A GrobmanDivision of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Ohio State University, Columbus, OH (Drs Field and Lynch, Mr Wu, and Drs Thung, Gabbe, Landon, Grobman, and Venkatesh).
Kartik K VenkateshDivision of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Ohio State University, Columbus, OH (Drs Field and Lynch, Mr Wu, and Drs Thung, Gabbe, Landon, Grobman, and Venkatesh).
The Ohio State University · US

Funding

ACHIEVE: Successfully achieving and maintaining euglycemia during pregnancy for type 2 diabetes through technology and coachingR01HS028822 · AHRQ · OHIO STATE UNIVERSITY · PI FAREED, NALEEF, JOSEPH, JOSHUA J · 2022 to 2024
$1.2M
AHRQ HHS R01 HS028822
6 · The paper itself

Abstract

backgroundNeighborhood walkability is a community-level social determinant of health that measures whether people who live in a neighborhood walk as a mode of transportation. Whether neighborhood walkability is associated with glycemic control among pregnant individuals with pregestational diabetes remains to be defined.

objectiveThis study aimed to evaluate the association between community-level neighborhood walkability and glycemic control as measured by hemoglobin A1c (A1C) among pregnant individuals with pregestational diabetes. STUDY

designThis was a retrospective analysis of pregnant individuals with pregestational diabetes enrolled in an integrated prenatal and diabetes care program from 2012 to 2016. Participant addresses were geocoded and linked at the census-tract level. The exposure was community walkability, defined by the US Environmental Protection Agency National Walkability Index (score range 1-20), which incorporates intersection density (design), proximity to transit stops (distance), and a mix of employment and household types (diversity). Individuals from neighborhoods that were the most walkable (score, 15.26-20.0) were compared with those from neighborhoods that were less walkable (score <15.26), as defined per national Environmental Protection Agency recommendations. The outcomes were glycemic control, including A1C <6.0% and <6.5%, measured both in early and late pregnancy, and mean change in A1C across pregnancy. Modified Poisson regression and linear regression were used, respectively, and adjusted for maternal age, body mass index at delivery, parity, race and ethnicity as a social determinant of health, insurance status, baseline A1C, gestational age at A1C measurement in early and late pregnancy, and diabetes type.

resultsAmong 417 pregnant individuals (33% type 1, 67% type 2 diabetes mellitus), 10% were living in the most walkable communities. All 417 individuals underwent A1C assessment in early pregnancy (median gestational age, 9.7 weeks; interquartile range, 7.4-14.1), and 376 underwent another A1C assessment in late pregnancy (median gestational age, 30.4 weeks; interquartile range, 27.8-33.6). Pregnant individuals living in the most walkable communities were more likely to have an A1C <6.0% in early pregnancy (15% vs 8%; adjusted relative risk, 1.46; 95% confidence interval, 1.00-2.16), and an A1C <6.5% in late pregnancy compared with those living in less walkable communities (13% vs 9%; adjusted relative risk, 1.33; 95% confidence interval, 1.08-1.63). For individuals living in the most walkable communities, the median A1C was 7.5 (interquartile range, 6.0-9.4) in early pregnancy and 5.9 (interquartile range, 5.4-6.4) in late pregnancy. For those living in less walkable communities, the median A1C was 7.3 (interquartile range, 6.2-9.2) in early pregnancy and 6.2 (interquartile range, 5.6-7.1) in late pregnancy. Change in A1C across pregnancy was not associated with walkability.

conclusionPregnant individuals with pregestational diabetes mellitus living in more walkable communities had better glycemic control in both early and late pregnancy. Whether community-level interventions to enhance neighborhood walkability can improve glycemic control in pregnancy requires further study.

Indexed as

Diabetes Mellitus, Type 2Pregnancy in DiabeticsFemaleGlycated HemoglobinGlycemic ControlHumansInfantPregnancyRetrospective StudiesGlycated Hemoglobindiabetes mellitusglycemic controlhealth equitypregestational diabetes mellituspregnancysocial determinants of healthwalkability

Identifiers

PMID36787839
PMCPMC12805509
OpenAlexW4320033376

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.