Hypertriglyceridemia was defined strictly on the basis of fasting triglyceride concentration, and body weight status was assessed in two separate ways: waist circumference, which captures central or abdominal fat accumulation, and body mass index, the familiar ratio of weight to height used to classify people as normal weight, overweight or obese. Overall, 29.3 percent of participants met the criteria for hypertriglyceridemia. That headline figure, however, concealed a striking gradient across body size categories.

Among people whose waist circumference fell within the normal range, the prevalence was 25.3 percent, while those classified as obese by waist circumference showed a prevalence of 32.3 percent. The gradient was even steeper when body mass index was used: 22.6 percent of participants with normal BMI had elevated triglycerides, rising to 33.1 percent among those who were overweight and 39.9 percent among those with obesity. To move beyond simple prevalence counts, the researchers turned to mixed-effects logistic regression, a statistical framework that can account for clustering in the sampling design while adjusting for potential confounding factors.

Compared with counterparts of normal weight, participants with waist-circumference-based obesity had 37 percent higher odds of hypertriglyceridemia, with an odds ratio of 1.37 and a 95 percent confidence interval of 1.28 to 1.44. Those classified as overweight by BMI had an odds ratio of 1.66 (95 percent CI 1.55 to 1.78), and those with BMI-based obesity had an odds ratio of 2.14 (95 percent CI 1.95 to 2.35), meaning their odds of elevated triglycerides were more than double those of normal-weight peers. The analysis also explored what happens when the two measures are considered together rather than separately.

Combining waist-circumference and BMI categories revealed positive associations between body weight status and hypertriglyceridemia across most joint groupings, with one notable exception: participants who had waist-circumference-based obesity but a normal BMI-based weight did not show a statistically significant elevation in odds. The researchers therefore stratified their analyses, and the patterns held. The relationships between body weight status and hypertriglyceridemia among age- and sex-stratified subgroups were similar to those observed in the overall sample, lending weight to the consistency of the association across demographic slices of the population.

The technical distinction between the two anthropometric measures matters for interpreting the results. In this study, BMI-based categories showed steeper odds ratios than waist-circumference-based categories, and the combined analysis suggests that each measure captures overlapping but not identical information about metabolic risk. Because the study is cross-sectional, measuring body weight and triglycerides at a single point in time, it can establish association but not causation.

It cannot determine whether higher body weight raises triglyceride levels, whether metabolic changes drive weight gain, or whether unmeasured factors influence both. The restriction to non-diabetic adults not taking lipid-lowering medications is a strength in that it removes two major sources of distortion, but it also means the findings may not generalize to older adults with diabetes or those already on statins or fibrates. The sampling was confined to one Chinese municipality, so regional generalizability is likewise limited.

The authors argue that their findings carry practical implications: specific waist-circumference-based or BMI-based weight statuses, or combinations of the two, should be considered in clinical practice and in public health campaigns aimed at managing triglyceride levels at the population level. For a study of this scale, the consistency of the gradient across both measures, the stability of the associations across age and sex strata, and the adjustment for confounders make a reasonably strong case that body weight status and hypertriglyceridemia travel together in this population. What remains open is the causal direction and the mechanistic pathway, questions that only longitudinal designs and metabolic studies can answer.

In the meantime, the data from Nanjing add to the evidence that in adults aged 60 and above, both the tape measure and the scale tell part of the same metabolic story.

Subject of Research: The association of body weight status measured by waist circumference and BMI with hypertriglyceridemia among community-dwelling older adults in Nanjing, China

Article Title: The association of body weight status with hypertriglyceridemia among community-dwelling older adults in regional China

Article References: Lu, S., Lu, Y., Ao, G., Yang, L., Ji, Y., Xu, T., Tang, W., & Xu, F. (2026). The association of body weight status with hypertriglyceridemia among community-dwelling older adults in regional China. Frontiers in Nutrition, 13, 1985854. https://doi.org/10.3389/fnut.2026.1985854

Image Credits: AI Generated

DOI: 10.3389/fnut.2026.1985854

Keywords: hypertriglyceridemia, obesity, overweight, body mass index, waist circumference, older adults, triglycerides, cross-sectional study, China, public health, clinical nutrition, logistic regression