Evidence map›Paper›PMID 39182118›Full record

ArticleBMC women's health2024

Examining rurality and social determinants of health among women with GDM: a 15-year comprehensive population analysis.

Umama Ali, Laila Cure, Rhonda K Lewis, Ajita Rattani, Twyla Hill, Nikki Keene Woods

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC women's health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
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

6 authors.

Umama AliDepartment of Public Health Sciences, Wichita State University, Wichita, KS, USA. umamaali26@gmail.com.ORCID http://orcid.org/0009-0001-6763-9488
Laila CureIndustrial, Systems, and Manufacturing Engineering Department, Wichita State University, Wichita, KS, USA.ORCID http://orcid.org/0000-0002-4024-4208
Rhonda K LewisDepartment of Psychology, Wichita State University, Wichita, KS, USA.ORCID http://orcid.org/0000-0003-0288-0163
Ajita RattaniDepartment of Electrical Engineering and Computer, Wichita State University, Wichita, KS, USA.ORCID http://orcid.org/0000-0002-1541-8202
Twyla HillDepartment of Sociology, Wichita State University, Wichita, KS, USA.ORCID http://orcid.org/0000-0001-7551-1671
Nikki Keene WoodsDepartment of Public Health Sciences, Wichita State University, Wichita, KS, USA.ORCID http://orcid.org/0000-0001-8545-9010

Funding

Wichita State University President's Convergence Science D10852
6 · The paper itself

Abstract

backgroundGestational diabetes mellitus (GDM) is a common pregnancy complication with long-term health consequences for mothers and their children. The escalating trends of GDM coupled with the growing prevalence of maternal obesity, a significant GDM risk factor projected to approach nearly 60% by 2030 in Kansas, has emerged as a pressing public health issue.

methodsThe aim of this study was to compare GDM and maternal obesity trends in rural and urban areas and investigate maternal demographic characteristics influencing the risk of GDM development over a 15-year period. Trend analyses and a binary logistic regression were employed utilizing 2005 to 2019 de-identified birth record vital statistics from the Kansas Department of Health and Environment (N = 589,605).

resultsOver the cumulative 15-year period, a higher prevalence of GDM was observed across age, race/ethnicity, education, and insurance source. Throughout this period, there was an increasing trend in both GDM and obese pre-pregnancy BMI age-adjusted prevalence, with noticeable rural-urban disparities. From 2005 to 2019, women, including Asians (OR: 2.73, 95% CI 2.58%-2.88%), American Indian or Alaskan Natives (OR: 1.58, 95%, CI 1.44-1.73%), Hispanics (OR: 1.42, 95% CI 1.37%-1.48%), women residing in rural areas (OR: 1.09, 95%, CI 1.06-1.12%), with advanced maternal age (35-39 years, OR: 4.83 95% CI 4.47%-5.22%; ≥40 years, OR: 6.36 95%, CI 5.80-6.98%), with lower educational status (less than high school, OR: 1.15, 95% CI 1.10%-1.20%; high school graduate, OR: 1.10, 95% CI 1.06%-1.13%), Medicaid users (OR: 1.10, 95% CI 1.06%-1.13%), or with an overweight (OR: 1.78, 95% CI 1.72%-1.84%) or obese (OR: 3.61, 95% CI 3.50%-3.72%) pre-pregnancy BMI were found to be at an increased risk of developing GDM.

conclusionsThere are persistent rural-urban and racial/ethnic disparities present from 2005 to 2019 among pregnant women in Kansas with or at-risk of GDM. There are several socioeconomic factors that contribute to these health disparities affecting GDM development. These findings, alongside with prominent rising maternal obesity trends, highlight the need to expand GDM services in a predominantly rural state, and implement culturally-responsive interventions for at-risk women.

Indexed as

Diabetes, GestationalRural PopulationSocial Determinants of HealthUrban PopulationAdolescentAdultEthnicityFemaleHumansKansasPregnancyPregnancy in ObesityPrevalenceRacial GroupsRisk FactorsYoung AdultGestational diabetes mellitusHealth disparitiesMaternal obesityObese pre-pregnancy BMIPregnancyRuralRural healthRural-urbanWomen’s health

Identifiers

PMID39182118
PMCPMC11344292

What Socratic holds

Textmetadata
LicenceCC BY
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.