Evidence map›Paper›PMID 29959600›Full record

ArticleMaternal and child health journal2018

Maternal Socioeconomic Mobility and Preterm Delivery: A Latent Class Analysis.

Yan Tian, Claudia Holzman, Jaime Slaughter-Acey, Claire Margerison-Zilko, Zhehui Luo, David Todem

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In one paragraph

Article in Maternal and child health journal, 2018. 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
–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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Uncovering the Heterogeneity in Fitness App Use: A Latent Class Analysis of Chinese Users.International journal of environmental research and public health · 2022
    Article
  8. Article
  9. Review
  10. 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.

Yan TianDepartment of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, 909 Fee Road Room B601, East Lansing, Michigan, 48824, USA.
Claudia HolzmanDepartment of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, 909 Fee Road Room B601, East Lansing, Michigan, 48824, USA. holzman@msu.edu.
Jaime Slaughter-AceyCollege of Nursing and Health Professions, Drexel University, 245 N 15th St, Mailstop 501, Philadelphia, PA, 19102, USA.
Claire Margerison-ZilkoDepartment of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, 909 Fee Road Room B601, East Lansing, Michigan, 48824, USA.
Zhehui LuoDepartment of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, 909 Fee Road Room B601, East Lansing, Michigan, 48824, USA.
David TodemDepartment of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, 909 Fee Road Room B601, East Lansing, Michigan, 48824, USA.

Funding

Etiologic Heterogeneity in Preterm DeliveryR01HD034543 · NICHD · MICHIGAN STATE UNIVERSITY · PI HOLZMAN, CLAUDIA B. · 1997 to 2005
$5.3M
CDC HHS U01 DP000143-01March of Dimes Foundation 20FY01-38March of Dimes Foundation 20-FY04-37National Institute of Child Health and Human Development and the National Institute of Nursing Research Grant R01 HD34543NICHD NIH HHS R01 HD034543Thrasher Research Foundation 02816-7
6 · The paper itself

Abstract

Objective Growing evidence suggests that maternal socioeconomic mobility (SM) is associated with pregnancy outcomes. Our study investigated the association between maternal SM from childhood to adulthood and the risk of preterm delivery (PTD), and examined heterogeneity of associations by race/ethnicity. Methods In this study, 3019 pregnant women enrolled from 5 Michigan communities at 16-27 weeks' gestation (1998-2004) provided their parents' socioeconomic position (SEP) indicators (education, occupation, receipt of public assistance) and their own and child's father's SEP indicators (education, occupation, Medicaid status, and household income) at the time of enrollment. Latent class analysis was used to identify latent classes of childhood SEP indicators, adulthood SEP indicators, and SM from childhood to adulthood, respectively. A model-based approach to latent class analysis with distal outcome assessed relations between latent class and PTD, overall and within race/ethnicity groups. Results Three latent classes (low, middle, high) were identified for childhood SEP indicators and adulthood SEP indicators, respectively; while four latent classes (static low, upward, downward, and static high) best described SM. Women with upward SM had decreased odds of PTD (Odds ratio = 0.60, 95% confidence interval: 0.42, 0.87), compared to those with static low SEP. This SM advantage was true for all women and most pronounced in white/others women. Conclusions Maternal experiences of upward SM may be important considerations when assessing PTD risk. Our results support the argument that policies and programs aimed at improving women's SEP could lower PTD rates.

Indexed as

Premature BirthResidence CharacteristicsSocial ClassSocial MobilitySocioeconomic FactorsAdultFemaleHealth Status DisparitiesHumansInfant, NewbornMichiganOccupationsPregnancyPregnancy OutcomePrenatal CareLatent class analysisPreterm deliveryRace/ethnicitySocioeconomic mobility

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Registered trials

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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 OpenQuestion graph.