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Record W4416869732 · doi:10.1159/000549181

Association between Lipid Accumulation Product and Cardiometabolic Multimorbidity in Adults Aged 50 Years and Older: Findings from the English Longitudinal Study of Ageing

2025· article· en· W4416869732 on OpenAlex
Setor K. Kunutsor, Sae Young Jae, Jari A. Laukkanen

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCardiology · 2025
Typearticle
Languageen
FieldMedicine
TopicLipoproteins and Cardiovascular Health
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsLongitudinal studyAgeingProduct (mathematics)MultimorbidityHealthy ageingInclusion (mineral)Longitudinal dataRisk factor

Abstract

fetched live from OpenAlex

INTRODUCTION: The lipid accumulation product (LAP) is a sex-specific index that reflects visceral adiposity and lipid imbalance. This study aimed to investigate the longitudinal association between LAP and cardiometabolic multimorbidity (CMM) and to assess its value in risk prediction. METHODS: Data were analyzed from 3,348 individuals (mean age = 64 years; 54.9% female) enrolled in the English Longitudinal Study of Ageing who had no prior history of hypertension, coronary heart disease, diabetes, or stroke at baseline (wave 4: 2008-2009). LAP was calculated using waist circumference (cm) and fasting triglyceride levels (mmol/L) via standardized sex-specific formulas. CMM was operationally defined as the coexistence of two or more of the following cardiometabolic disorders by wave 10 (2021-2023): hypertension, cardiovascular disease, diabetes, or stroke. Odds ratios (ORs) with 95% confidence intervals (CIs) were derived using logistic regression models with multivariable adjustment, and model performance was evaluated using discrimination metrics. RESULTS: During follow-up spanning 12-15 years, 197 cases of CMM were recorded. Analysis using restricted cubic splines demonstrated a linear trend between LAP and CMM risk, with no evidence of nonlinearity (p = 0.23). Each one standard deviation rise in LAP was significantly associated with elevated odds of developing CMM (OR = 1.31; 95% CI: 1.16-1.49), which remained significant after adjusting for physical activity (OR = 1.30; 95% CI: 1.14-1.47). Trends were similar across LAP tertiles. Incorporating LAP into a model with conventional risk factors modestly improved discrimination (ΔC-index = 0.0064; p = 0.32), but significantly improved model fit (-2 log likelihood test, p < 0.001). CONCLUSION: Higher LAP was linearly and independently associated with increased risk of CMM in older adults. While the inclusion of LAP modestly improved model fit, its added value in enhancing risk discrimination beyond established cardiometabolic risk factors was limited in this cohort.

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.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.014
Threshold uncertainty score0.540

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.030
GPT teacher head0.306
Teacher spread0.276 · 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