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OBJECTIVES: Evidence suggests that access to urban green spaces (UGS) may encourage physical exercise and impact nutritional status and health. Nevertheless, the quality of UGS is an understudied area. Novel digital tools allow the analysis of urban environments. This study aims to explore the quality of UGS and its association with obesity in Córdoba, Argentina, using Google Street View (GSV) images. STUDY DESIGN: Population-based cross-sectional study. METHODS: Lifestyle and sociodemographic data were collected in Córdoba, Argentina (n = 1322 adults) during 2020-2022. Anthropometric measurements were obtained. Buffers of 500m were established around dwellings to identify the presence of large-area UGS (≥1ha). The quality of 226 UGS was evaluated across specific dimensions using a multi-dimensional assessment tool adapted for remote monitoring through GSV. Two-level logistic regression models for obesity outcome (yes/no) were fitted using a random intercept to account for spatial variability. Odds ratios (OR) and their 95 % confidence intervals (95 % CI) were estimated as measures of association. RESULTS: Obesity was present in 25.9 % of participants. The UGS quality dimensions that showed an inverse association with obesity were safety (OR = 0.33; 95 % CI 0.32-0.82), potential usage (OR = 0.42; 95 % CI 0.21-0.81), surroundings (OR = 0.54; 95 % CI 0.31-0.93), access (OR = 0.55; 95 % CI 0.31-0.97), aesthetics (OR = 0.55; 95 % CI 0.34-0.87) and amenities (OR = 0.62; 95 % CI 0.42-0.91). Proximity to UGS was not significantly associated with obesity. CONCLUSIONS: Rather than their proximity, the quality of the UGS might play a key role as a determinant of obesity. In urban areas, digital tools such as GSV are useful to explore these topics.
RESUMEN
The prevalence of obesity depends on biopsychosocial and environmental factors and represents a risk factor for communicable and non-communicable diseases. Objectives: To determine the association between demographic, socioeconomic and lifestyle characteristics and the presence of obesity and its metabolic comorbidities (MC) in adults in San Luis City, Argentina. Observational population-based cross-sectional study of 306 individuals aged 18-85 years from San Luis, Argentina, selected by multistage random sampling, with an overweight prevalence of 35% and a 0.05 margin of error. Socioeconomic, demographic, and lifestyle variables were assessed, and multiple logistic regression models were fitted with the presence of obesity and MC as outcomes and sociodemographic and lifestyle characteristics as covariates. Obesity was found in 17.3% of participants, diabetes in 3%, high blood pressure (HBP) in 11%, dyslipidemia in 3.3% and coronary ischemic complications (CIC) in 13%. The proportion of residents with at least one of these conditions was 26.8%. Low Educational level (EL) was positively associated with the presence of obesity (OR 3.58; IC95% 1.04-12.24; p=0,04), and its MC (OR 5.25; IC95% 1.05-26.23; p=0.04) with respect to high EL. Similarly, the possibility of presenting CIC was increased in people with medium EL (OR 5.8; IC95% 1.12-30.19; p=0.03). On the other hand, the possibility of presenting diabetes increased by 17% with increasing body mass index (BMI) (OR 1.17; IC95% 1.03-1.34; p=0.01). Finally, women were more likely to present HBP (OR 3.71; IC95% 1.01-13.72; p=0.04) and CIC (OR 3,43; IC95% 1,06-11,10; p=0,03). Conclusion: the increase in age, female sex and medium and low NI are factors and conditions of vulnerability that predispose an increase in the prevalence of MC in adults from San Luis, Argentina.
La prevalencia de obesidad depende de factores biopsicosociales y ambientales, y es un factor de riesgo para enfermedades transmisibles y no transmisibles. Objetivo: Determinar la asociación entre las características demográficas, socioeconómicas y del estilo de vida, y la presencia de obesidad y sus comorbilidades metabólicas (CM) en adultos de la ciudad de San Luis, Argentina. Estudio observacional-poblacional-transversal en 306 individuos entre 18 y 85 años de San Luis, Argentina, seleccionados mediante un muestreo aleatorio multietápico, considerando una prevalencia de sobrepeso del 35% y un error de 0,05. Se indagaron variables socioeconómicas, demográficas, del estilo de vida, y se ajustaron modelos de regresión logística múltiple incluyendo presencia de obesidad y CM como variable de respuesta, y características sociodemográficas y del estilo de vida como covariables. El 17,3% de los participantes presentó obesidad, un 3% diabetes, el 11% hipertensión arterial (HTA), el 3,3% dislipidemia y un 13% complicaciones isquémicas coronarias (CIC). La proporción de habitantes con al menos una de esas patologías fue del 26,8%. Un bajo Nivel de instrucción (NI) se asoció positivamente con la presencia de obesidad (OR 3,58; IC95% 1,04-12,24; p=0,04), y sus CM (OR 5,25; IC95% 1,05-26,23; p=0,04) respecto al NI alto. Asimismo, la posibilidad de presentar CIC se vio aumentada en personas con NI medio (OR 5,8; IC95% 1,12-30,19; p=0,03). Por otro lado, la posibilidad de presentar diabetes aumenta un 17% a medida que aumenta el índice de masa corporal (IMC) (OR 1,17; IC95% 1,03-1,34; p=0,01). Finalmente, las mujeres fueron más propensas a presentar HTA (OR 3,71; IC95% 1,01-13,72; p=0,04) y CIC (OR 3,43; IC95% 1,06-11,10; p=0,03). Conclusión: el aumento en la edad, el sexo femenino y el NI medio y bajo son factores y condiciones de vulnerabilidad que predisponen un aumento en la prevalencia de CM en adultos de San Luis, Argentina.