Evidence map›Paper›PMID 39036538›Full record

ArticleResearch in human development2024

Age 19-30 Union Formation Trajectories across the Past 30 Years within the U.S.: Delineating Heterogeneity in Trajectories and its Historical and Sociodemographic Variation.

Justin Jager, Jeremy Staff, Paul Espinoza

Abstract read
In one paragraph

Article in Research in human development, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Justin JagerT. Denny Sanford School of Social and Family Dynamics, Arizona State University, Tempe, AZ.
Jeremy StaffDepartment of Sociology and Criminology, Pennsylvania State University, University Park, PA.
Paul EspinozaT. Denny Sanford School of Social and Family Dynamics, Arizona State University, Tempe, AZ.

Funding

Monitoring the Future: Drug Use & Lifestyles of American Youth (Supp1: Nicotine Pouch and E-cigarette Use Among US Adolescents: National Estimates of Brand Use and Flavor Preferences)R01DA001411 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Richard A Miech · 1985 to 2026
$144.9M
Monitoring the Future: A Cohort-Sequential Panel Study of Drug Use, Ages 19-65 - Diversity Supplement (Solberg)R01DA016575 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Megan E. Patrick · 2003 to 2026
$44.6M
Age, period, and cohort effects on gender differences in alcohol use and alcohol use disorders in 47 national, longitudinally-followed cohortsR01AA026861 · NIAAA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI JAGER, JUSTIN O, KEYES, KATHERINE M. · 2018 to 2022
$1.9M
NIAAA NIH HHS R01 AA026861NIDA NIH HHS R01 DA001411NIDA NIH HHS R01 DA016575
6 · The paper itself

Abstract

Using data from Monitoring the FutureStudy that include 31 cohorts of high school seniors (1976 to 2006) who were followed from ages 19-30, weidentified heterogeneity in union formation trajectories andits covariates (cohort, sex, race/ethnicity, and parental education). We identified nine trajectorieswith approximately 40% following a single to married sequence (with variation in the timing of the sequence), about 35% remaining single, and the remaining respondents showing considerable heterogeneity.Recent cohortswere more likely to remain single and experience more transitions, women made earlier transitions, and Blackrespondents were less likely to follow pathways entailing marriage.

Indexed as

historical variationpattern-centered analysistransition to adulthoodUnion formation

Identifiers

PMID39036538
PMCPMC11259017

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.