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Record W2133351976 · doi:10.1371/journal.pone.0015564

Childhood Socioeconomic Position and Objectively Measured Physical Capability Levels in Adulthood: A Systematic Review and Meta-Analysis

2011· review· en· W2133351976 on OpenAlexaff
Kate Birnie, Rachel Cooper, Richard M. Martin, Diana Kuh, Avan Aihie Sayer, Beatriz Alvarado, Antony Bayer, Kaare Christensen, Sung‐Il Cho, Cyrus Cooper, Janie Corley, Leone Craig, Ian J. Deary, Panayotes Demakakos, Shah Ebrahim, John Gallacher, Alan J. Gow, David Gunnell, Steven A. Haas, Tomas Hemmingsson, Hazel Inskip, Soong‐Nang Jang, Kenya Noronha, Merete Osler, Alberto Palloni, Finn Rasmussen, Brigitte Santos‐Eggimann, Jacques Spagnoli, John M. Starr, Andrew Steptoe, Holly Syddall, Per Tynelius, David R. Weir, Lawrence J. Whalley, Marı́a Victoria Zunzunegui, Yoav Ben‐Shlomo, Rebecca Hardy

Bibliographic record

VenuePLoS ONE · 2011
Typereview
Languageen
FieldMedicine
TopicNutrition and Health in Aging
Canadian institutionsUniversité de MontréalQueen's University
FundersNational Institute on AgingWorld Cancer Research FundEconomic and Social Research CouncilMedical Research CouncilDirectorate for Biological SciencesCentre for Cognitive Ageing and Cognitive EpidemiologyBiotechnology and Biological Sciences Research CouncilUniversity of BristolNational Institute for Health and Care ResearchUniversity of EdinburghEngineering and Physical Sciences Research CouncilScottish GovernmentBritish Heart FoundationWellcome Trust
KeywordsMeta-analysisMedicineGrip strengthOdds ratioBalance (ability)Socioeconomic statusYoung adultSystematic reviewDemographyMEDLINEGerontologyPhysical therapyPopulationEnvironmental healthInternal medicineBiology

Abstract

fetched live from OpenAlex

BACKGROUND: Grip strength, walking speed, chair rising and standing balance time are objective measures of physical capability that characterise current health and predict survival in older populations. Socioeconomic position (SEP) in childhood may influence the peak level of physical capability achieved in early adulthood, thereby affecting levels in later adulthood. We have undertaken a systematic review with meta-analyses to test the hypothesis that adverse childhood SEP is associated with lower levels of objectively measured physical capability in adulthood. METHODS AND FINDINGS: Relevant studies published by May 2010 were identified through literature searches using EMBASE and MEDLINE. Unpublished results were obtained from study investigators. Results were provided by all study investigators in a standard format and pooled using random-effects meta-analyses. 19 studies were included in the review. Total sample sizes in meta-analyses ranged from N = 17,215 for chair rise time to N = 1,061,855 for grip strength. Although heterogeneity was detected, there was consistent evidence in age adjusted models that lower childhood SEP was associated with modest reductions in physical capability levels in adulthood: comparing the lowest with the highest childhood SEP there was a reduction in grip strength of 0.13 standard deviations (95% CI: 0.06, 0.21), a reduction in mean walking speed of 0.07 m/s (0.05, 0.10), an increase in mean chair rise time of 6% (4%, 8%) and an odds ratio of an inability to balance for 5s of 1.26 (1.02, 1.55). Adjustment for the potential mediating factors, adult SEP and body size attenuated associations greatly. However, despite this attenuation, for walking speed and chair rise time, there was still evidence of moderate associations. CONCLUSIONS: Policies targeting socioeconomic inequalities in childhood may have additional benefits in promoting the maintenance of independence in later life.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.016
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.027
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0160.034
Bibliometrics0.0050.006
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.260
GPT teacher head0.364
Teacher spread0.104 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations280
Published2011
Admission routes1
Has abstractyes

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