Loading
Life sciences · Journal article
Cureus · October 29, 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: Chronic kidney disease (CKD) burden tracks heavily with metabolic comorbidities, yet the combined distribution of structural inequities -specifically the built environment -and physiologic risk factors has not been fully characterized at the population level in Missouri.Objective: The objective of the study is to describe self-reported kidney disease across Missouri Behavioral Risk Factor Surveillance System (BRFSS) regions, household income categories, and education levels, alongside statewide metabolic and built environment indicators.Methods: Using an ecological descriptive design and survey-weighted Missouri BRFSS aggregate data, we characterized the distribution of crude self-reported kidney disease prevalence across socioeconomic and geographic strata, alongside metabolic risks (diabetes, hypertension, and obesity) and built environment indicators.Estimates were re-extracted on October 11, 2026.The report identifies kidney disease, diabetes, BMI, and neighborhood indicators as 2024 data and high blood pressure and cholesterol as 2023 data.No inferential statistical testing was performed; all comparisons are descriptive.Results: Statewide self-reported kidney disease prevalence was 4.10%.Statewide obesity and diagnosed diabetes prevalence estimates were 34.53% and 11.31%, respectively.Geographic patterns were observed, with kidney disease prevalence highest in the Southwest BRFSS region (6.49%) and lowest in the Central region (2.73%).Socioeconomic point estimates varied; prevalence was 8.60% in households earning $15,000-$24,000 and 2.20% in households earning $75,000 or more.Perceived neighborhood safety ranged from 59.00% in the lowest-income bracket to 90.60% in the highest-income bracket.Conclusions: This descriptive analysis identifies differences in self-reported kidney disease prevalence across BRFSS regions and socioeconomic categories, alongside statewide metabolic and built environment indicators.These summaries do not establish individual-level co-occurrence, rural-versus-urban differences, or benefits of environmental interventions.This descriptive ecological design does not support individuallevel causal conclusions; future research using longitudinal and individual-level data is needed to formally evaluate these relationships.