Evidence map›Paper›PMID 25469683›Full record

ArticlePsychosomatic medicine2015

Psychosocial stress as a risk factor for sepsis: a population-based cohort study.

Connor Ojard, John P Donnelly, Monika M Safford, Russell Griffin, Henry E Wang

Open access · greenAbstract read
In one paragraph

Article in Psychosomatic medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
1.9field-weighted citation impact, top 13% of its field
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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 29 citations in OpenAlex.

  1. Pooled it
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  15. Psychoneuroimmunology-developments in stress research.Wiener medizinische Wochenschrift (1946) · 2018
    Review
  16. Psychological distress and salivary secretory immunity.Brain, behavior, and immunity · 2016
    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 at 1 institution in 1 country.

Connor OjardFrom the Departments of Emergency Medicine (H.E.W, J.P.D.), Epidemiology (J.P.D.), Medicine, and Emergency Medicine (H.E.W.), and Division of Preventive Medicine (M.M.S., J.P.D.), University of Alabama School of Medicine (C.O.), Birmingham, Alabama; and Department of Epidemiology (R.G.), University of Alabama at Birmingham, Birmingham, Alabama.
John P Donnelly
Monika M Safford
Russell Griffin
Henry E Wang
University of Alabama at Birmingham · US

Funding

VCID and Stroke in a Bi-racial National CohortU01NS041588 · NINDS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI CUSHMAN, MARY, HOWARD, GEORGE · 2002 to 2022
$96.0M
UAB Center for Clinical and Translational Science (CCTS)UL1TR001417 · NCATS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI KIMBERLY, ROBERT P. · 2015 to 2018
$31.4M
UAB CENTER FOR CLINICAL AND TRANSLATIONAL SCIENCE (CCTS) UL1: BPCAUL1RR025777 · NCRR · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI GUAY-WOODFORD, LISA MARIE · 2008 to 2011
$22.3M
UAB Health Services Research (HSR) Training ProgramT32HS013852 · AHRQ · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI LEVITAN, EMILY B, MUGAVERO, MICHAEL J · 2003 to 2024
$8.0M
Risk Factors for Sepsis in the CommunityR01NR012726 · NINR · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI WANG, HENRY E. · 2011 to 2015
$2.6M
AHRQ HHS 2 T32 HS013852AHRQ HHS HS013852AHRQ HHS T32 HS013852NCATS NIH HHS UL1 TR001417NCRR NIH HHS UL1 RR025777NCRR NIH HHS UL1-RR025777NINDS NIH HHS U01 NS041588NINDS NIH HHS U01-NS041588NINR NIH HHS R01 NR012726NINR NIH HHS R01-NR012726
6 · The paper itself

Abstract

objectiveTo characterize the relationship between stress and future risk of sepsis. We also evaluated the role of depression in this relationship.

methodsWe used population-based data on 30,183 participants in the Reasons for Geographic and Racial Differences in Stroke cohort, characterizing stress using the Perceived Stress Scale (PSS) and depressive symptoms using the Center for Epidemiologic Studies Depression Scale (CES-D). We identified incident sepsis events as hospitalizations for a serious infection with the presence of at least two systemic inflammatory response syndrome criteria. We assessed associations between PSS and incidence of sepsis for 1 and 10 years of follow-up, adjusting for demographics and chronic medical conditions and assessing the role of health behaviors and CES-D in these relationships.

resultsIn 2003 to 2012, 1500 participants experienced an episode of sepsis. Mean PSS and CES-D scores were 3.2 (2.9) and 1.2 (2.1). PSS was associated with increased 1-year adjusted incidence of sepsis (hazard ratio [HR] = 1.21 per PSS standard deviation, 95% confidence interval = 1.06-1.38); multivariable adjustment for health behaviors and CES-D did not change this association (1.20, 1.03-1.39). PSS was also associated with increased 10-year adjusted incidence of sepsis (HR = 1.07 per PSS standard deviation; 95% confidence interval = 1.02-1.13). Multivariable adjustment showed that health behaviors did not affect this long-term association, whereas the addition of CES-D reduced the association between PSS and sepsis during 10-year follow-up (HR = 1.04, 0.98-1.11).

conclusionsIncreased stress was associated with higher 1-year adjusted incidence of sepsis, even after accounting for depressive symptoms. The association between stress and 10-year adjusted incidence of sepsis was also significant, but this association was reduced when adjusting for depressive symptoms. Reduction of stress may limit short-term sepsis risk.

Indexed as

AgedCohort StudiesDepressionFemaleHumansIncidenceLongitudinal StudiesMaleMiddle AgedRisk FactorsSepsisStress, PsychologicalUnited States

Identifiers

PMID25469683
PMCPMC4293326
OpenAlexW2320023045

What OpenQuestion holds

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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.