Evidence map›Paper›PMID 39108480›Full record

ArticleResearch square2024

It Takes a Village: Health and Old-Age Support in China.

Jaqueline Oliveira, Amanda Kerr

Abstract readPreprint
In one paragraph

Article in Research square, 2024. 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

2 authors.

Jaqueline OliveiraRhodes College, Memphis TN, USA.
Amanda KerrUniversity of Maryland, College Park MD, USA.

Funding

Integrting Information About Aging SurveysR01AG030153 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Sara Adar, Alden L. Gross · 2007 to 2026
$41.7M
Mega Meta Data Set of the Health and Retirement Surveys Around the WorldRC2AG036619 · NIA · RAND CORPORATION · PI KAPTEYN, ARIE · 2009 to 2010
$2.0M
Archiving & Creating User Friendly Data: the Longitudinal Aging Survey in IndiaR03AG043052 · NIA · RAND CORPORATION · PI LEE, JINKOOK · 2012 to 2012
$95k
NIA NIH HHS R01 AG030153NIA NIH HHS R03 AG043052NIA NIH HHS RC2 AG036619
6 · The paper itself

Abstract

How do older individuals cope with health impairments and the potential economic losses that ensue? Exploiting longitudinal data on a nationally representative sample of Chinese seniors, we investigate whether and how familial economic support responds to sudden and sizable changes in health. We find that both financial and instrumental support from children go up following a health shock. Furthermore, financial transfers coming from siblings, other relatives and friends increase by a larger percentage than those from children. We also find evidence that instrumental care received from a spouse responds strongly to health shocks. Finally, we find that although labor supply and earned income drop considerably, there is no significant change in non-health expenditure. Our results suggest that households are able to cope with some of the adverse economic impacts of health shocks by relying on support networks that extend beyond their children and grand-children. This is particularly relevant in the context of shrinking family sizes resulting from stringent family planning policies.

Indexed as

D64HealthInter-generational transfersJ14Old-age supportPrivate transfers

Identifiers

PMID39108480
PMCPMC11302691

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.