Evidence map›Paper›PMID 39723110›Full record

ArticleSSM - population health2025

Long-term trajectories of depressive symptoms by military affiliation.

Elizabeth C Coppola, Shelley MacDermid Wadsworth, Zoe E Taylor, Laura Schwab-Reese, Sharon L Christ

Abstract read
In one paragraph

Article in SSM - population health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Elizabeth C CoppolaVA Connecticut Healthcare System, West Haven, CT, USA.
Shelley MacDermid WadsworthDepartment of Human Development and Family Studies, Purdue University, USA.
Zoe E TaylorDepartment of Human Development and Family Studies, Purdue University, USA.
Laura Schwab-ReeseDepartment of Public Health, Purdue University, USA.
Sharon L ChristDepartment of Human Development and Family Studies, Purdue University, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Using a national sample of Americans, this study estimated and compared patterns of depressive symptom trajectories stratified by military service. This study then examined associations between sociodemographic factors theorized to shape entry into military service and trajectory patterns. Method: Data came from the National Longitudinal Study of Adolescent to Adult Health, a nationally representative study that followed participants from adolescence (1994-1995) through midlife (2016-2018). Latent growth mixture modeling was used to estimate depressive symptom trajectories among civilians ( Results: Trajectories were best represented by 4-class linear models. "Low" was the largest class, representing 74.4% of civilians and 70.4% of those who served. The second largest class, "low then increasing," was comprised of 13.6% of civilians and 19.6% of service members. The third smallest class, "high then decreasing" class, included 8.8% of civilians and 4.5% of service members. An "increasing" class emerged with high depressive symptoms by midlife, comprised of 3.2% of civilians and 5.5% of those who served. Gender and family structure had robust associations with trajectory membership. Discussion: A larger percentage of those who served were in the "increasing" trajectory characterized by concerningly high depressive symptoms by midlife, underscoring the need for continued screening in depressive symptoms throughout the life course. Associations between family structure and gender on depressive symptoms support calls for conceptualizing family structure as a social determinant of health and continued investment in women's health.

Indexed as

Depressive symptomsLatent growth mixture modelingLife courseMilitary serviceTrajectories

Identifiers

PMID39723110
PMCPMC11667064

What OpenQuestion holds

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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.