Evidence map›Paper›PMID 40841398›Full record

ArticleScientific reports2025

On a microdemographic framework for decomposing contemporary fertility dynamics.

Stephen J Shaw

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Stephen J ShawIndependent Researcher, Tokyo, Japan. sjs@xyworldwide.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Total Fertility Rate (TFR) obscures key components of fertility dynamics, leading to a calculated 49% information loss and a substantive 0·385 reduction in Adjusted R² compared to its decomposed components: the Total Maternal Rate (TMR) and Children per Mother (CPM), formalized in this study, where TFR = TMR × CPM. Further, TMR and CPM were found to be statistically independent, which is demonstrated to lead to ambiguity in the TFR, findings that carry important implications for demographic analysis and policy evaluation. Aggregated birth data from 158 million mothers in Italy, Japan, the United Kingdom, and the United States were analyzed from national statistical databases

Indexed as

Birth RateFertilityAdultDatabases, FactualFemaleHumansItalyJapanPopulation DynamicsUnited KingdomUnited StatesChildren per mother (CPM)Low fertilityMicrodemographic framework (MDF)Total childlessness rate (TCR)Total fertility rate (TFR)Total maternal rate (TMR)

Identifiers

PMID40841398
PMCPMC12370919

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.