Evidence map›Paper›PMID 28397179›Full record

ArticleDemography2017

A Quiescent Phase in Human Mortality? Exploring the Ages of Least Vulnerability.

Michal Engelman, Christopher L Seplaki, Ravi Varadhan

Abstract readHistorical Article
In one paragraph

Article in Demography, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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  3. Review
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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.

Michal EngelmanDepartment of Sociology and Center for Demography and Ecology, University of Wisconsin-Madison, 1180 Observatory Drive, Madison, WI, 53704, USA. mengelman@wisc.edu.
Christopher L SeplakiUniversity of Rochester School of Medicine and Dentistry, Rochester, NY, USA.
Ravi VaradhanDivision of Biostatistics and Bioinformatics, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, MD, USA.

Funding

Technological Assessment and Solutions Core - RC4P30AG021334 · NIA · JOHNS HOPKINS UNIVERSITY · PI Jeremy D Walston · 2003 to 2026
$33.2M
Statistical Data Enclave CoreP30AG017266 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Michal Engelman · 1999 to 2026
$17.0M
EPIDEMIOLOGY AND BIOSTATISTICS OF AGINGT32AG000247 · NIA · JOHNS HOPKINS UNIVERSITY · PI Karen J. Bandeen-Roche · 1996 to 2026
$13.2M
Center for Demography and EcologyR24HD047873 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI RAYMO, JAMES M · 2004 to 2013
$7.2M
Scientific and Technical CoreP2CHD047873 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI Katherine J. Curtis · 2014 to 2026
$5.1M
Workshops in Formal DemographyR25HD083136 · NICHD · UNIVERSITY OF CALIFORNIA BERKELEY · PI JOSHUA R. GOLDSTEIN · 2015 to 2026
$1.7M
Aging-Related Biodemography of Life Course Physiology and Environmental ModifiersK01AG031332 · NIA · UNIVERSITY OF ROCHESTER · PI SEPLAKI, CHRISTOPHER · 2009 to 2013
$609k
NIA NIH HHS K01 AG031332NIA NIH HHS P30 AG017266NIA NIH HHS P30 AG021334NIA NIH HHS T32 AG000247NICHD NIH HHS P2C HD047873NICHD NIH HHS R24 HD047873NICHD NIH HHS R25 HD083136
6 · The paper itself

Abstract

Demographic studies of mortality often emphasize the two ends of the lifespan, focusing on the declining hazard after birth or the increasing risk of death at older ages. We call attention to the intervening phase, when humans are least vulnerable to the force of mortality, and consider its features in both evolutionary and historical perspectives. We define this quiescent phase (Q-phase) formally, estimate its bounds using life tables for Swedish cohorts born between 1800 and 1920, and describe changes in the morphology of the Q-phase. We show that for cohorts aging during Sweden's demographic and epidemiological transitions, the Q-phase became longer and more pronounced, reflecting the retreat of infections and maternal mortality as key causes of death. These changes revealed an underlying hazard trajectory that remains relatively low and constant during the prime ages for reproduction and investment in both personal capital and relationships with others. Our characterization of the Q-phase highlights it as a unique, dynamic, and historically contingent cohort feature, whose increased visibility was made possible by the rapid pace of survival improvements in the nineteenth and twentieth centuries. This visibility may be reduced or sustained under subsequent demographic regimes.

Indexed as

Models, StatisticalAdolescentAdultAgedAged, 80 and overAge DistributionChildChild, PreschoolCommunicable DiseasesDemographyFemaleHistory, 19th CenturyHistory, 20th CenturyHumansInfantInfant, NewbornCohortsDemographic transitionMortalityQuiescent phase

Identifiers

PMID28397179
PMCPMC5498292

What OpenQuestion holds

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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.