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Record W2926338432 · doi:10.1159/000494972

Association between Adverse Childhood Experiences and Muscle Strength in Older Age

2019· article· en· W2926338432 on OpenAlexaff
Boris Cheval, Clovis Chabert, Stefan Sieber, Dan Orsholits, Rachel Cooper, Idris Guessous, David Blane, Matthias Kliegel, Delphine S. Courvoisier, Michelle Kelly‐Irving, Matthieu P. Boisgontier, Stéphane Cullati

Bibliographic record

VenueGerontology · 2019
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsUniversity of British Columbia
FundersMedical Research CouncilVlaamse regeringNational Institute on AgingSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
KeywordsMedicinePsychosocialDemographySocioeconomic statusCohortGerontologyConfoundingPsychologyInternal medicineEnvironmental healthPsychiatryPopulation

Abstract

fetched live from OpenAlex

BACKGROUND: Muscle weakness - a biomarker of health - may have its origins in early life and be related to factors such as adverse childhood experiences (ACE), which refer to a set of early-life traumatic and stressful psychosocial events out of the child's control. To date, evidence of an association between ACE and muscle strength in older age is lacking. -Objective: Here, we assessed the associations between ACE during the first 15 years of life and the risk of low muscle strength (LMS) later in life. We also examined whether adult-life socioeconomic circumstances (i.e., educational attainment, main occupational position, and satisfaction with household financial situation) and unhealthy behaviors (i.e., physical inactivity, unhealthy eating, smoking, and high level of alcohol consumption) explained this association. METHODS: We used data from the Survey of Health, Ageing, and Retirement in Europe, a 12-year cohort study with 6 -repeated measurements between 2004 and 2015. Muscle strength was measured using a handheld dynamometer. Confounder-adjusted logistic mixed-effect models were used to examine the associations between ACE (child in care, parental death, parental mental illness, parental drinking, period of hunger, or property taken away) and the risk of LMS in older age. -Results: 24,179 participants (96,372 observations; 13,477 women; aged 50-96 years) living in 14 countries were included. LMS increased with age for both genders. For women, there was a gradual increase in the risk of LMS with the number of experienced ACE (ORs = 1.22 for 1 ACE, 1.74 for ≥2 ACE compared to no ACE). However, there was no significant association among men. This association was only slightly attenuated when adjusting for socioeconomic circumstances and unhealthy behaviors in adulthood. CONCLUSIONS: ACE are associated with later-life muscle weakness among women. These associations were not compensated by the adoption of healthy behaviors or an improvement in socioeconomic circumstances in adulthood. These results suggest that tackling these early-life risk factors in women could promote long-term grip strength, a biomarker of aging.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.018
GPT teacher head0.286
Teacher spread0.268 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations29
Published2019
Admission routes1
Has abstractyes

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