Metabolic health predicts chronic pain in non-obese adults :- Medznat
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High insulin sensitivity linked to 52.4% drop in chronic pain risk

Chronic pain Chronic pain
Chronic pain Chronic pain

What's new?

Higher insulin sensitivity, measured by the estimated glucose disposal rate, independently predicts a drastically lower risk of chronic pain, particularly among non-obese adults.

For years, clinical assumptions have heavily tied chronic pain (CP) to mechanical stress caused by high body weight. However, a compelling new cross-sectional and retrospective cohort study published in Pain Management Nursing suggests that the physiological root of CP may be deeply embedded in metabolic health—regardless of a patient’s size.

Why look beyond body weight?

CP is commonly considered alongside several metabolic and clinical characteristics, but body weight does not necessarily capture an individual's underlying metabolic health. This study examined whether estimated glucose disposal rate (eGDR), an indicator of insulin sensitivity, could provide additional information about CP risk.

eGDR emerged as a strong predictor of CP

Using National Health and Nutrition Examination Survey (NHANES) data, researchers found that higher eGDR was independently associated with lower CP risk. Each 1-unit increase in eGDR corresponded to a 12.6% lower risk of CP (odds ratio 0.874). Those in the highest eGDR quartile had a 52.4% lower risk vs. those in the lowest quartile.

The association was particularly evident without obesity

One of the notable findings was the stronger inverse association among adults with BMI <30. This suggests that metabolic health may capture information about CP risk that is not reflected by body weight alone.

Two populations, similar signal

The investigators then examined China Health and Retirement Longitudinal Study (CHARLS) data from China. The association between eGDR and CP was also observed in this population, providing cross-populational support for the finding.

eGDR ranked ahead of other metabolic factors

The machine-learning analysis added another layer to the findings. XGBoost ranked eGDR as the leading predictor among the metabolic factors evaluated, reinforcing its potential relevance as a marker associated with CP.

A metabolic marker worth further study

Taken together, the findings position metabolic health—not simply obesity. However, the observational nature of the analyses means the findings illustrate association rather than causation. Prospective research will be needed to examine whether changes in insulin sensitivity are accompanied by alterations in CP risk.y status—as a potentially relevant dimension of CP risk assessment

Source:

Pain Management Nursing

Article:

Metabolic Health is Highly Predictive of Chronic Pain Among Non-Obese Adults: Evidence from the NHANES and CHARLS Studies

Authors:

Zilong Li et al.

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