Evidence map›Paper›PMID 31852335›Full record

ArticleBiodemography and social biology

A simulation study of the role of cohort forces in mortality patterns.

Hui Zheng, Siwei Cheng

Abstract read
In one paragraph

Article in Biodemography and social biology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

2 authors.

Hui ZhengDepartment of Sociology, Ohio State University, Columbus, USA.
Siwei ChengDepartment of Sociology, New York University, New York, USA.

Funding

Institute for Population ResearchP2CHD058484 · NICHD · OHIO STATE UNIVERSITY · PI HAYFORD, SARAH R · 2014 to 2023
$5.0M
A Semi-parametric Approach to Mitigate Lagged Selection Bias in Trend StudiesR03SH000046 · SH · OHIO STATE UNIVERSITY · PI ZHENG, HUI · 2016 to 2017
$148k
Population Heterogeneity in the Effects of Obesity on Mortality over the Life CourseR03AG053463 · NIA · OHIO STATE UNIVERSITY · PI ZHENG, HUI · 2017 to 2018
$148k
NCHS CDC HHS R03 SH000046NIA NIH HHS R03 AG053463NICHD NIH HHS P2C HD058484
6 · The paper itself

Abstract

This study uses the micro-simulation method to investigate the role of cohort forces in age-dependent mortality pattern. We test the micro mechanisms for cohort evolution and mortality selection, and how these two biological and demographic forces may interact with epidemiologic transition to shape the cohort age-dependence of mortality pattern in both early- and later-transition countries. We show that cohort evolution is due to the declining rate of mortality acceleration at the individual level, which is associated with lower initial mortality rates but not smaller variance of frailty distribution in later birth cohorts. The steeper slope of mortality acceleration at the population level among later birth cohorts is due to mortality selection mechanism associated with smaller variance of frailty distribution but not lower initial mortality rates. These two forces jointly shape the non-crossover cohort age-dependence of mortality pattern regardless of the differential mechanisms of epidemiologic transition in early- and later-transition countries.

Indexed as

Models, StatisticalMortalityCohort StudiesDemographyHumans

Identifiers

PMID31852335
PMCPMC6927337

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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.