Life sciences · Journal article
Frontiers in Endocrinology · October 15, 2026
No summary has been generated for this record yet. What follows is drawn from its source metadata only.
Journal article.
No findings were extractable from the material analysed.
Safety was not reported in the material analysed. Check the source before drawing any conclusion about harm.
The source did not state who this applies to in practice.
Graded across the dimensions that decide whether you should act, each from what the source actually supports. There is no single score, and where a dimension was not assessed it says so.
This record has not been graded across any dimension yet. Treat the label above as provisional and read the source.
What is missing. This record has no bottom line, key findings, reported figures, evidence dimensions. That is a gap in the analysis, not a judgement about the study.
Background Behavioral and metabolic risk factors frequently coexist in type 2 diabetes mellitus (T2DM), but their combined patterns and associations with microvascular complications remain insufficiently characterized. Methods This cohort study included 706 individuals with T2DM. Outcome-specific risk sets were established by excluding participants with prevalent diabetic kidney disease (DKD) or diabetic peripheral neuropathy (DPN) at baseline. Behavioral and metabolic factors were classified using latent class analysis. Multinomial logistic regression and Cox models, alongside socioeconomic status (SES)-stratified analyses, assessed associations among phenotypes, SES, and incident complications. Results Three behavioral-metabolic phenotypes were identified: the Behavioral-Visceral Adiposity (BVA) phenotype (14.3%), characterized by unhealthy lifestyle behaviors, lower BMI, and higher visceral adiposity; the Obesity-Related Metabolic Risk (OMR) phenotype (39.8%), characterized by obesity, physical inactivity, insulin resistance, and suboptimal blood pressure control; and the Low-Risk (LR) phenotype (45.9%). Compared with the LR phenotype, the OMR phenotype showed increased risks of incident DKD (HR = 2.01; 95% CI = 1.32–3.04) and DPN (HR = 2.06; 95% CI = 1.18–3.58). The BVA phenotype was associated with increased risk of DPN (HR = 2.47; 95% CI = 1.19–5.12). SES was independently associated with phenotype membership. Associations between the OMR phenotype and DKD or DPN were mainly observed among individuals with low SES, whereas the association between the BVA phenotype and DPN was mainly observed among individuals with high SES. Conclusions Three distinct behavioral-metabolic phenotypes were identified among individuals with T2DM and showed differential associations with DKD and DPN risks. Integrating behavioral patterns, metabolic profiles, and socioeconomic context into risk stratification strategies may enhance early identification and individualized prevention of microvascular complications.