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Record W2951004044 · doi:10.1111/obr.12881

Validity of self‐reported recall of anthropometric measures in early life: A systematic review and meta‐analysis

2019· review· en· W2951004044 on OpenAlexaff
Vanessa De Rubeis, Sawila Bayat, Lauren E. Griffith, Brendan T. Smith, Laura N. Anderson

Bibliographic record

VenueObesity Reviews · 2019
Typereview
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsHospital for Sick ChildrenPublic Health OntarioSickKids FoundationUniversity of TorontoMcMaster UniversityInstitute for Clinical Evaluative SciencesImpact
Fundersnot available
KeywordsAnthropometryMedicineBody mass indexOverweightMeta-analysisRecallDemographyEpidemiologyGerontologyPhysical therapyPsychologyInternal medicine

Abstract

fetched live from OpenAlex

Summary Overweight and obesity in early life are risk factors for many adult‐onset chronic diseases. The objective of this study was to assess the validity of self‐reported recall of early life anthropometric measures. A systematic review was conducted by searching four electronic databases (PubMed, ProQuest, EMBASE, and MEDLINE). Studies were eligible if they evaluated the validity or reliability of self‐reported recall by adults of their own body mass index, height, and/or weight during earlier life periods. Meta‐analyses were conducted to pool correlation coefficients and mean differences. There were 15 studies included with a total of 17 477 participants. The mean pooled difference between self‐reported recall of BMI compared with prospective measures was 0.06 kg/m 2 (95% CI, −0.62 to 0.73), and the pooled correlation coefficient was 0.72 (95% CI, 0.65‐0.79). Self‐reported weight was also strongly correlated with reference standard measures (pooled r = 0.83; 95% CI, 0.72‐0.90) with a small mean difference (0.87 kg; 95% CI, 0.19‐1.56; I 2 = 91%). Despite significant heterogeneity, the findings from this review suggest self‐reported recall of early life body mass index, height, and weight may be valid measures. This evidence may inform life‐course epidemiology studies considering the use of retrospective assessment of self‐reported anthropometry.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Meta-epidemiology (broad)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.743
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0420.007
Bibliometrics0.0010.008
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.200
GPT teacher head0.388
Teacher spread0.188 · 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 teacher head, not a consensus.

Study designSystematic review
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

Citations73
Published2019
Admission routes1
Has abstractyes

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