Evidence map›Paper›PMID 42519516›Full record

ArticleIntelligence

Family-level intelligence and maternal health: A cross-cohort, cross-generational longitudinal study using the NLSY.

Linda Wänström, Patrick O''Keefe, Graciela Muniz-Terrera, Stacey Voll, Frank D Mann, Sean Clouston, Scott Hofer, Joseph L Rodgers

Abstract read
In one paragraph

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

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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

8 authors.

Linda WänströmLinköping University, Department of Computer and Information Science, Sweden.
Patrick O''KeefePentara Corporation, USA.
Graciela Muniz-TerreraOhio University, Heritage College of Osteopathic Medicine, USA.
Stacey VollUniversity of Victoria, Department of Psychology, Institute of Lifelong Health and Aging, USA.
Frank D MannStony Brook University, Department of Medicine, USA.
Sean CloustonStony Brook University, Department of Medicine, USA.
Scott HoferOregon Health and Sciences University, Department of Neurology, USA.
Joseph L RodgersVandelbilt University, Psychological Sciences, USA.

Funding

Evaluation of Multivariate Causal Factors Linking the Flynn Effect to Declining Dementia Trends and Cognitive AgingR01AG067621 · NIA · PACIFIC HEALTH RESEARCH/ EDUCATION INST · PI HOFER, SCOTT M. · 2019 to 2023
$3.6M
NIA NIH HHS R01 AG067621
6 · The paper itself

Abstract

This study examines the association between family-level intelligence metrics, and maternal health outcomes in middle age, as captured in the National Longitudinal Survey of Youth. Building on past research documenting links between maternal intelligence and health, our study expands the inquiry by exploring how both variations and trends in family-level intelligence are associated with maternal middle-age health. We use multilevel modeling analysis to extract family intelligence levels and growth scores from children's Peabody Individual Achievement Test of math, reading recognition and reading comprehension. We use two time-points, ten years apart, to extract levels and growth scores from maternal middle-aged health data. We then use canonical correlation analysis to examine the associations between family intelligence and maternal health. Our results show a positive association between family cognition and maternal health. Families with greater math and reading recognition levels experience better levels of maternal health outcomes. Patterns also suggest that low levels in math and reading comprehension are related to larger declines in physical health. We discuss implications of intellectual development in the family, noting that higher family intelligence not only holds intrinsic value but also is associated with improved maternal health outcomes. We discuss a possible "Flynn effect transfer" within the family context, where intellectual advancement correlates with positive health trajectories in midlife mothers. Future research could extend these insights to explore further downstream effects on both maternal and child well-being.

Indexed as

Canonical correlationChild intelligenceFamily iqMaternal healthMultilevel growth curve modelsNLSY

Identifiers

PMID42519516
PMCPMC13384444

What OpenQuestion holds

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LicenceCC BY
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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.