ArticleJMIR aging2025
Urban Quality and Biochemical, Hematological, and Nutritional Markers in Older Adults: Cross-Sectional Geospatial Study.
Article in JMIR aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: The urban environment is an important determinant of frailty, primarily through factors such as infrastructure that supports physical activity, availability of social and medical support, and access to nutritious food. Given the increasing aging population, understanding the link between urban quality, frailty, and metabolic health is crucial for effective public health and urban planning interventions. Objective: This study aims to quantify the impact of distinct urban domains (built-environment characteristics, accessibility to essential services, availability of green and recreational spaces, and neighborhood socioeconomic context) on frailty status, nutritional profile, and hematological or biochemical biomarkers in community-dwelling older adults by integrating geospatial analysis. Methods: A cohort of 251 older adults (aged older than 65 years) was studied. Frailty was assessed using the Frailty Trait Scale 5, and nutritional status was determined using the Controlling Nutritional Status score. Hematological and biochemical parameters were evaluated in a subset of 70 participants by MINDRAY automatic equipment. A spatial analysis of frailty was conducted by incorporating Geographic Information System layers that mapped the distribution of urban facilities, including fruit and vegetable shops, senior centers, pharmacies, emergency health centers, parks and squares, community centers, and exercise facilities. Statistical analyses included t tests, Mann-Whitney U test, ANOVA, and correlation analyses. Results: The prevalence of frailty was 17.5%. Frail individuals exhibited significantly higher BMI (mean 31.5, SD 4.4 vs mean 28.5, SD 4.5 kg/m²; P=.0001). When comparing the upper (Q4) and lower (Q1) quartiles of urban quality, Q4 participants had higher Frailty Trait Scale 5 scores (mean 15.2, SD 7.4 vs mean 11.8, SD 6.4; P=.0334) and lower handgrip strength (mean 19.1, SD 4.4 vs mean 22.8, SD 7.3 kg; P=.006). Frail individuals resided significantly closer to emergency health centers (P=.0010), family health centers (P=.0412), and exercise facilities (P=.0322). In addition, bilirubin (Spearman ρ=0.33; P=.0049), serum iron (Spearman ρ=0.27; P=.0272), transferrin saturation (Spearman ρ=0.24; P=.0386), red blood cell count (Spearman ρ=0.26; P=.0303), and red blood cell distribution width (Spearman ρ=0.23; P=.0462) were positively correlated with urban quality. Frail participants also had higher Controlling Nutritional Status scores (P=.0323), which were positively correlated with urban quality (Spearman ρ=0.25; P=.0359). Conclusions: Urban quality was significantly associated with hematological parameters, nutritional status, and frailty. Frail individuals in areas with better urban quality exhibit lower handgrip strength, higher frailty scores, and greater proximity to emergency rooms, community health centers, and exercise facilities. This spatial distribution may reflect higher accessibility to health care and recreational resources among frail participants. Urban planning and public health strategies should focus on creating age-friendly environments to prevent frailty and improve health outcomes.
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