Evidence map›Paper›PMID 41541619›Full record

ReviewThe Lancet regional health. Western Pacific2025

Social determinants of low fertility in Asia: a comparative review of trends in East, Southeast and South Asia.

Wei-Jun Jean Yeung, Jeofrey Bautista Abalos

Abstract readReview
In one paragraph

Review in The Lancet regional health. Western Pacific, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
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  5. 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

2 authors.

Wei-Jun Jean YeungAgency for Science, Technology, and Research (IHDP, A∗STAR), Singapore.
Jeofrey Bautista AbalosUniversity of Eastern Pangasinan, Philippines.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Asia, home to nearly 60% of the world's population, is central to global demographic change. Fertility trajectories shape population growth, aging, and decline, with implications for labor supply, economic development, family structures, and caregiving. Studying these patterns offers critical insights into the future of population size, structure, and human potential both regionally and globally. This paper addresses gaps in the largely snapshot, country-specific literature by providing a six-decade comparative overview of fertility trends in East, Southeast, and South Asia, with emphasis on their social determinants. Fertility is shaped not only by individual choice or biology but also by broader socioeconomic, cultural, and policy contexts that influence proximate factors of fertility such as union patterns, contraception, postpartum infecundability, and abortion. We identify distinct regional trajectories of fertility decline, examine their underlying drivers, assess the applicability of prevailing theories, and propose an Asymmetric Adaptation Framework to explain Asia's fertility transitions. While socioeconomic development and ideational change have shaped fertility behavior, cultural factors-such as religion, colonial legacies, kinship systems, and family policy-are pivotal in Asia. Certain trends cannot be explained by socioeconomic development alone, reflecting deeper historical and cultural roots. The Asian experience highlights the limits of prevailing Eurocentric, unidirectional theories and underscores the need for regionally grounded explanations that account for the interplay of structural forces, cultural norms, historical contexts, and policy in shaping fertility decline.

Indexed as

AsiaAsymmetric Adaptation FrameworkFamily policiesFertilitySocial determinants

Identifiers

PMID41541619
PMCPMC12800761

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.