Evidence map›Paper›PMID 30713493›Full record

ArticleFrontiers in human neuroscience2018

The Effects of Family Socioeconomic Status on Psychological and Neural Mechanisms as Well as Their Sex Differences.

Hikaru Takeuchi, Yasuyuki Taki, Rui Nouchi, Ryoishi Yokoyama, Yuka Kotozaki, Seishu Nakagawa, Atsushi Sekiguchi, Kunio Iizuka, Yuki Yamamoto, Sugiko Hanawa and 9 more

Abstract read
In one paragraph

Article in Frontiers in human neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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  14. The Neuroscience of Socioeconomic Inequality.Current opinion in behavioral sciences · 2020
    Article
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  16. Review
  17. 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

19 authors.

Hikaru TakeuchiDivision of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.
Yasuyuki TakiDivision of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.
Rui NouchiCreative Interdisciplinary Research Division, Frontier Research Institute for Interdisciplinary Sciences, Tohoku University, Sendai, Japan.
Ryoishi YokoyamaSchool of Medicine, Kobe University, Kobe, Japan.
Yuka KotozakiDivision of Clinical Research, Medical-Industrial Translational Research Center, School of Medicine, Fukushima Medical University, Fukushima, Japan.
Seishu NakagawaDepartment of Functional Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.
Atsushi SekiguchiDivision of Medical Neuroimaging Analysis, Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.
Kunio IizukaDepartment of Psychiatry, Tohoku University School of Medicine, Sendai, Japan.
Yuki YamamotoDepartment of Functional Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.
Sugiko HanawaDepartment of Functional Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.
Tsuyoshi ArakiAdvantage Risk Management Co., Ltd., Tokyo, Japan.
Carlos Makoto MiyauchiDepartment of General Systems Studies, Graduate School of Arts and Sciences, The University of Tokyo, Tokyo, Japan.
Kohei SakakiDepartment of Functional Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.
Takayuki NozawaDepartment of Ubiquitous Sensing, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.
Shigeyuki IkedaDepartment of Ubiquitous Sensing, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.
Susumu YokotaDivision of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.
Daniele MagistroDepartment of Sport Science, School of Science and Technology, Nottingham Trent University, Nottingham, United Kingdom.
Yuko SassaDivision of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.
Ryuta KawashimaDivision of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Family socioeconomic status (SES) is an important factor that affects an individual's neural and cognitive development. The two novel aims of this study were to reveal (a) the effects of family SES on mean diffusivity (MD) using diffusion tensor imaging given the characteristic property of MD to reflect neural plasticity and development and (b) the sex differences in SES effects. In a study cohort of 1,216 normal young adults, we failed to find significant main effects of family SES on MD; however, previously observed main effects of family SES on regional gray matter volume and fractional anisotropy (FA) were partly replicated. We found a significant effect of the interaction between sex and family income on MD in the thalamus as well as significant effects of the interaction between sex and parents' educational qualification (year's of education) on MD and FA in the body of the corpus callosum as well as white matter areas between the anterior cingulate cortex and lateral prefrontal cortex. These results suggest the sex-specific associations of family SES with neural and/or cognitive mechanisms particularly in neural tissues in brain areas that play key roles in basic information processing and higher-order cognitive processes in a way females with greater family SES level show imaging outcome measures that have been associated with more neural tissues (such as greater FA and lower MD) and males showed opposite.

Indexed as

diffusion tensor imagingfamily incomefamily social economic statusparents’ highest educational qualificationsex differencevoxel-based morphometry

Identifiers

PMID30713493
PMCPMC6345688

What OpenQuestion holds

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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.