Refining risk stratification: adiposity-integrated atherogenic indices for predicting incident metabolic syndrome in a prospective cohort

Q: What are the key findings of this study?

Integrating AIP with BMI more strongly predicted 4-year incident metabolic syndrome and improved discrimination compared to AIP alone.

Q: What is the clinical evidence from this study?

Study design: Cohort. Population: Metabolic syndrome (n=3835). Intervention: Adiposity-integrated atherogenic indices (AIP-BMI, AIP-WC, AIP-WHtR; highest quartile Q4) vs. Lowest quartile (Q1) of AIP-BMI and baseline AIP alone. Primary outcome: Incident metabolic syndrome (NCEP ATP III 2005 criteria) at 4-year follow-up for AIP-BMI Q4 vs Q1 (OR 3.37, 95% CI 2.26–5.06, p=<0.001).

Q: What does this research mean for the field?

Integrating the atherogenic index of plasma (AIP) with anthropometric measures of adiposity significantly improves risk discrimination and reclassification for incident metabolic syndrome compared to AIP alone. Novelty: ClaimNovelty.INCREMENTAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

Q: What question did this study set out to answer?

To assess whether combining the atherogenic index of plasma (AIP) with anthropometric adiposity measures improves risk prediction and stratification for incident metabolic syndrome.

Zhe Wang; Bilian Zhu; Xiaorong He; 姬卫东; Hejun Li; Lin Li; Yi Zhou

doi:10.1186/s12872-026-06809-2

November 12, 2026BMC Cardiovascular DisordersOpen Access

Refining risk stratification: adiposity-integrated atherogenic indices for predicting incident metabolic syndrome in a prospective cohort

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Key result

Combined AIP-BMI is linked to ~3.4-fold higher odds of incident metabolic syndrome.

OR 3.37
95% CI 2.26–5.06
P<0.001
n=3,835

Why the study?

The atherogenic index of plasma is an established marker for lipid-related risk but overlooks central obesity, a core component of metabolic syndrome. Whether integrating it with anthropometric measures improves risk stratification for incident metabolic syndrome was unknown.

Does integrating the atherogenic index of plasma (AIP) with anthropometric measures (BMI, waist circumference, waist-to-height ratio) improve risk stratification and prediction of incident metabolic syndrome compared to AIP alone in middle-aged and older Chinese adults?

Key Points

To assess whether combining the atherogenic index of plasma (AIP) with anthropometric adiposity measures improves risk prediction and stratification for incident metabolic syndrome.
Prospective cohort study analyzing 3,835 adults without metabolic syndrome at baseline (median age 60.0 years; 46.6% female) from the China Health and Retirement Longitudinal Study (CHARLS; 2011–2015).
Calculated baseline AIP as log10(TG/HDL-C) and formulated integrated indices (AIP–BMI, AIP–WC, AIP–WHtR); multivariable logistic regression, ROC curves, IDI, and NRI were used to assess 4-year risk.
Conducted external validation in an independent community-based prospective cohort of 131 participants followed for 11 years (2002–2013).
Comparing the highest to lowest quartile over 4-year follow-up, AIP–BMI (OR = 3.37; 95% CI: 2.26–5.06) and AIP–WC (OR = 3.06; 95% CI: 2.06–4.58) had stronger associations with incident metabolic syndrome than AIP alone (OR = 2.55; 95% CI: 1.70–3.84).
AIP–BMI achieved the highest AUC of 0.656 (95% CI: 0.633–0.678), significantly improving reclassification and discrimination over AIP alone with an IDI of 0.0094 (95% CI: 0.0067–0.0122) and an NRI of 0.0465 (95% CI: 0.0262–0.0667).
In the 11-year validation cohort, baseline AIP predicted incident metabolic syndrome with an adjusted relative risk of 1.57 (95% CI: 1.34–1.84, p < 0.001), with 82% of incident risk attributable to biological interaction with central obesity.

Study Design

Type

Cohort (n=3,835)

Multicenter

Yes

Structured PICO

Does integrating the atherogenic index of plasma (AIP) with anthropometric measures (BMI, waist circumference, waist-to-height ratio) improve risk stratification and prediction of incident metabolic syndrome compared to AIP alone in middle-aged and older Chinese adults?

P

Population

3,835 middle-aged and older Chinese adults (median age 60.0 years, 46.6% female) free of metabolic syndrome at baseline, followed for 4 years (plus 131 adults in an 11-year external validation cohort).

E

Exposure

Adiposity-integrated atherogenic indices evaluated at baseline: AIP-BMI (atherogenic index of plasma [log10(TG/HDL-C)] × body mass index), AIP-WC (AIP × waist circumference), and AIP-WHtR (AIP × waist-to-height ratio).

C

Comparator

Baseline atherogenic index of plasma (AIP) alone, and comparisons across quartiles (Q4 vs Q1) of each index.

O

Outcome

Incident metabolic syndrome (MetS) at 4-year follow-up (2015) in the primary cohort and 11-year follow-up in the validation cohort, classified per NCEP ATP III (2005) criteria requiring ≥3 of 5 components: Chinese-specific elevated WC (≥90 cm in men, ≥80 cm in women), TG ≥150 mg/dL, HDL-C <40 mg/dL in men or <50 mg/dL in women, SBP ≥130 mmHg and/or DBP ≥85 mmHg, and fasting plasma glucose ≥100 mg/dL.surrogate

Main Result

Odds Ratio: 3.37 (95% CI 2.26–5.06)

p-value: p=<0.001

Limitations

Incident MetS was ascertained at discrete survey waves with unobserved exact onset times (interval censoring).
AIP was dichotomized at the sample median in interaction analyses due to the absence of an established clinical diagnostic threshold.
Potential conceptual overlap between modified indices and standard MetS diagnostic components prevents simultaneous modeling with parent constituents.
Incident MetS was ascertained at discrete survey waves with unobserved onset times (interval censoring).
In the absence of an established clinical diagnostic threshold for AIP, AIP was dichotomized at the sample median for interaction analyses, which should not be interpreted as clinically validated thresholds.

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Answers are grounded in this paper and cite their sources.

Implication

Combining the atherogenic index of plasma (AIP) with routine anthropometric measures (BMI, waist circumference, or waist-to-height ratio) significantly improves risk discrimination and reclassification for predicting incident metabolic syndrome compared to AIP alone.

Abstract

Background The atherogenic index of plasma (AIP) is an established marker for lipid-related risk but inherently overlooks central obesity, a core component of metabolic syndrome (MetS). We investigated whether integrating AIP with anthropometric measures (BMI, waist circumference [WC], waist-to-height ratio [WHtR] ) improves risk stratification for incident MetS. Methods This prospective cohort study analyzed 3,835 adults from the China Health and Retirement Longitudinal Study (CHARLS; 2011–2015). The predictive performance of baseline AIP and three integrated indices (AIP–BMI, AIP–WC, AIP–WHtR) was assessed using multivariable logistic regression, ROC curves, Net Reclassification Improvement (NRI), and Integrated Discrimination Improvement (IDI). Findings were externally validated in an independent 11-year prospective cohort of 131 eligible participants free of MetS at baseline. Results During the 4-year follow-up, all adiposity-integrated indices were positively associated with incident MetS. Comparing the highest to the lowest quartile, AIP–BMI (OR = 3.37; 95% CI: 2.26–5.06) and AIP–WC (OR = 3.06; 95% CI: 2.06–4.58) demonstrated stronger associations than AIP alone (OR = 2.55; 95% CI: 1.70–3.84). The modified indices significantly improved predictive discrimination and reclassification; AIP-BMI showed the highest AUC of 0.656 (95% CI: 0.633–0.678), yielding an IDI of 0.0094 (95% CI: 0.0067–0.0122) and an NRI of 0.0465 (95% CI: 0.0262–0.0667). Subgroup analyses revealed more robust associations among individuals without pre-existing dyslipidemia or hypertension. In the independent validation cohort, baseline AIP strongly predicted incident MetS, with an adjusted relative risk (RR) of 1.57 (95% CI: 1.34–1.84, p < 0.001). A synergistic effect between elevated AIP and central obesity was confirmed, with 82% of the incident MetS risk attributable to their biological interaction. Conclusions Integrating AIP with simple anthropometric measures significantly improves risk reclassification for incident MetS compared to AIP alone. The 11-year prospective validation robustly confirms the utility of AIP as an independent and early predictor, and these non-redundant indices offer practical, cost-effective tools for population-based cardiometabolic risk stratification. Clinical trial number Not applicable.

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Cite This Study

Wang et al. (2026) conducted a cohort in Metabolic syndrome (n=3,835). Adiposity-integrated atherogenic indices (AIP-BMI, AIP-WC, AIP-WHtR; highest quartile Q4) vs. Lowest quartile (Q1) of AIP-BMI and baseline AIP alone was evaluated on Incident metabolic syndrome (NCEP ATP III 2005 criteria) at 4-year follow-up for AIP-BMI Q4 vs Q1 (OR 3.37, 95% CI 2.26–5.06, p=<0.001). Integrating AIP with BMI more strongly predicted 4-year incident metabolic syndrome and improved discrimination compared to AIP alone.

synapsesocial.com/papers/6af73ada9badce7b6084db3a https://doi.org/10.1186/s12872-026-06809-2

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Refining risk stratification: adiposity-integrated atherogenic indices for predicting incident metabolic syndrome in a prospective cohort

Key Points

Study Design

Structured PICO

Main Result

Limitations

Ask about this paper

Implication

Abstract

Discussion

Cite This Study

Refining risk stratification: adiposity-integrated atherogenic indices for predicting incident metabolic syndrome in a prospective cohort

Key Points

Study Design

Structured PICO

Main Result

Limitations

Ask about this paper

Implication

Abstract

Discussion

Cite This Study

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