Evidence map›Paper›PMID 40880861›Full record

ArticlePopulation and development review2025

Older Adults' Descendants and Family Networks in the Context of Global Educational Expansion.

Rachel Margolis, Mara Getz Sheftel, Haowei Wang, Raeven Faye Chandler, Lauren Newmyer, Ashton M Verdery

Abstract read
In one paragraph

Article in Population and development review, 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

6 authors.

Rachel MargolisDepartment of Sociology, University of Western Ontario.
Mara Getz SheftelSchool of Public Health and the Institute for Health, Health Care Policy and Aging Research, Rutgers University.
Haowei WangDepartment of Sociology, Syracuse University.
Raeven Faye ChandlerApplied Population Laboratory, University of Wisconsin.
Lauren NewmyerDepartment of Sociology, Bowling Green State University.
Ashton M VerderySchool of Public Health and the Institute for Health, Health Care Policy and Aging Research, Rutgers University.

Funding

HRS Yrs29-34: Y33 SSA CoFundingU01AG009740 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jessica Faul, KENNETH M LANGA · 1990 to 2026
$555.8M
Understanding and Improving Healthcare Decision-Making and Outcomes for People Living with Alzheimer's Disease and Related DementiasP01AG005842 · NIA · NATIONAL BUREAU OF ECONOMIC RESEARCH · PI KOSALI ILAYPERUMA SIMON · 1986 to 2026
$56.5M
Integrting Information About Aging SurveysR01AG030153 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Sara Adar, Alden L. Gross · 2007 to 2026
$41.7M
Leveraging a natural experiment to estimate the causal impact of blood sugar on dementia and cognition in IndiaR01AG051125 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Jinkook Lee · 2015 to 2026
$26.8M
The Mexican Health and Aging Study - IIR01AG018016 · NIA · UNIVERSITY OF TEXAS MED BR GALVESTON · PI Rebeca Wong · 1999 to 2026
$22.6M
WEALTH DISPARITIES AMONG MATURE AND OLDER ADULTSP01AG008291 · NIA · RAND CORPORATION · PI HURD, MICHAEL D · 1989 to 2018
$19.4M
RAND CENTER FOR THE STUDY OF AGINGP30AG012815 · NIA · RAND CORPORATION · PI HURD, MICHAEL D · 1999 to 2020
$13.7M
Population Research InstituteR24HD041025 · NICHD · PENNSYLVANIA STATE UNIVERSITY-UNIV PARK · PI LANDALE, NANCY S · 2001 to 2016
$9.7M
The Population Research Institute: Development CoreP2CHD041025 · NICHD · PENNSYLVANIA STATE UNIVERSITY, THE · PI Sarah Damaske · 2016 to 2026
$9.0M
The Longitudinal Aging Study in IndiaR01AG042778 · NIA · HARVARD SCHOOL OF PUBLIC HEALTH · PI AROKIASAMY, PERIANAYAGAM, BLOOM, DAVID E · 2013 to 2019
$9.0M
Mega Meta Data Set of the Health and Retirement Surveys Around the WorldRC2AG036619 · NIA · RAND CORPORATION · PI KAPTEYN, ARIE · 2009 to 2010
$2.0M
Costa Rican Health and Retirement SurveyR01AG031716 · NIA · UNIVERSITY OF CALIFORNIA BERKELEY · PI DOW, WILLIAM H. · 2008 to 2012
$1.6M
NIA NIH HHS P01 AG005842NIA NIH HHS P01 AG008291NIA NIH HHS P30 AG012815NIA NIH HHS R01 AG018016NIA NIH HHS R01 AG030153NIA NIH HHS R01 AG031716NIA NIH HHS R01 AG042778NIA NIH HHS R01 AG051125NIA NIH HHS R01 AG060949NIA NIH HHS R03 AG043052NIA NIH HHS R21 AG025169NIA NIH HHS RC2 AG036619NIA NIH HHS U01 AG009740NICHD NIH HHS P2C HD041025NICHD NIH HHS R24 HD041025Wellcome Trust
6 · The paper itself

Abstract

Family networks are key to understanding the wellbeing of older adults because kin provide instrumental and financial support, help manage health and disability, and encourage social integration. Two momentous societal changes have shaped the families of contemporary older adults: the first and second demographic transitions and global educational expansion. The intersection of these two processes raises questions about how older adults are faring in terms of their kin availability. This paper examines the socioeconomic bifurcation of adults in midlife and beyond in terms of the existence of descendants and other kin. Disparities in kin availability may vary across socioeconomic status and contexts, and so we examine this phenomenon worldwide, analyzing data on two thirds of the world's population of adults aged 50 and above. Our results highlight different kin structures by socioeconomic status. High socioeconomic status adults have fewer descendants but a higher likelihood of having at least one child with tertiary education, a partner, and living parents. Low socioeconomic status older adults have larger families with more younger kin. Our results shed new light on potential mismatches between the contemporary family networks of older adults and longstanding social norms and assumptions about caregiving, family, and health policies.

Indexed as

agingdemographic transitionEducationFamily networkskin structuressocial support

Identifiers

PMID40880861
PMCPMC12383217

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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.