Evidence map›Paper›PMID 39268944›Full record

ArticleJournal of health and social behavior2025

Stability and Volatility in the Contextual Predictors of Working-Age Mortality in the United States.

Jennifer Karas Montez, Shannon M Monnat, Emily E Wiemers, Douglas A Wolf, Xue Zhang

Abstract read
In one paragraph

Article in Journal of health and social behavior, 2025. 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

5 authors.

Jennifer Karas MontezSyracuse University, Syracuse, NY, USA.ORCID 0000-0001-9472-615X
Shannon M MonnatSyracuse University, Syracuse, NY, USA.ORCID 0000-0003-0920-8230
Emily E WiemersSyracuse University, Syracuse, NY, USA.
Douglas A WolfSyracuse University, Syracuse, NY, USA.
Xue ZhangCornell University, Ithaca, NY, USA.ORCID 0000-0002-5786-4235

Funding

States' COVID-19 Mitigation Policies and Psychological Health, Drug Overdose, and Suicide among U.S. AdultsU01DA055972 · NIDA · SYRACUSE UNIVERSITY · PI MONNAT, SHANNON M · 2021 to 2025
$2.0M
Geographic Trends And Disparities In Psychosocial Wellbeing, Health Behaviors, And Mortality In MidlifeR01AG082699 · NIA · SYRACUSE UNIVERSITY · PI Shannon M Monnat, Jennifer Karas Montez · 2023 to 2026
$1.4M
NIA NIH HHS R01 AG082699NIDA NIH HHS U01 DA055972
6 · The paper itself

Abstract

The contextual predictors of mortality in the United States are well documented, but the COVID-19 pandemic may have upended those associations. Informed by the social history of disease framework (SHDF), this study examined how the importance of county contexts on adult deaths from all causes, drug poisonings, and COVID-19-related causes fluctuated during the pandemic. Using 2018 to 2021 vital statistics data, for each quarter, we estimated associations between county-level deaths among adults ages 25 to 64 and prepandemic county-level contexts (economic conditions, racial-ethnic composition, population health profile, and physician supply). The pandemic significantly elevated the importance of county contexts-particularly median household income and counties' preexisting health profile-on all-cause and drug poisoning deaths. The elevated importance of household income may be long-lasting. Contextual inequalities in COVID-19-related deaths rose and then fell, as the SHDF predicts, but rose again along with socio-political disruptions. The findings support and extend the SHDF.

Indexed as

COVID-19MortalityAdultCause of DeathFemaleHumansMaleMiddle AgedPandemicsSARS-CoV-2Socioeconomic FactorsUnited StatesCOVID-19drug poisoningmortalitysocial determinantssocial history of disease

Identifiers

PMID39268944
PMCPMC11903368

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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.