Facilitando la salud comunitaria. Indicadores básicos de salud por área básica de salud en Cataluña

Oliver-Parra, Alba; González-Viana, Angelina

doi:10.1016/j.gaceta.2019.05.012

Cited by 5 publications

(2 citation statements)

References 3 publications

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“…This would increase dietary inequalities, food poverty, and malnutrition, as observed in other studies [ 34 , 49 ], because of the possible limitation in supply, both in terms of variety and price. Besides, data from the Catalan government [ 50 ] suggest that the rate of COVID-19 infection is higher in the most deprived areas of the region [ 51 ]. Thus, the prevalence and severity of the COVID-19 pandemic is magnified by the coexistence of previous chronic diseases (syndemic), which are also associated with social determinants of health [ 52 ].…”

Section: Discussionmentioning

confidence: 99%

Social Inequalities in Changes in Diet in Adolescents during Confinement Due to COVID-19 in Spain: The DESKcohort Project

et al. 2021

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Adolescence is a critical period in the consolidation of healthy lifestyles that can last into adulthood. To analyze changes in food consumption and eating behaviors in high-school adolescents during the first confinement, a cross-sectional study was conducted at the end of confinement in Spain. Changes in the frequency or quantity of consumption of different types of food and food-related behaviors were analyzed. Socioeconomic and health-related variables were also considered. To determine whether dietary changes were related to socioeconomic position (SEP), Poisson regression models with robust variance were estimated. Overall, there were some changes towards a healthier diet such as an increase in fruit consumption (38.9%) and a decrease in the consumption of soft drinks (49.8%), sweets and pastries (39.3%), and convenience foods (49.2%). Some changes, however, were related to less healthy behaviors, such as a more irregular pattern of meal distribution (39.9%) or an increase in snacking between meals (56.4%). Changes towards less healthy eating were also related to students’ SEP. The risk of worsening the diet was found to be 21% higher in adolescents from a more disadvantaged SEP. Future public policies could be adapted to avoid increasing nutritional and health inequalities.

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Section: Discussionmentioning

confidence: 99%

Social Inequalities in Changes in Diet in Adolescents during Confinement Due to COVID-19 in Spain: The DESKcohort Project

et al. 2021

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“…These individual websites are linked to a search engine, enabling stakeholders to locate assets available in their basic health areas (BHAs), which can be used in collaborative interventions to address public health problems. Each BHA in Catalonia is a local health jurisdiction that functions as an administrative unit within the Catalan healthcare system [ 29 ]. In urban settings, BHAs typically cover specific neighborhoods or districts, whereas in rural areas, they may span one or more municipalities, as determined by demographic, epidemiological, and accessibility considerations.…”

Section: Methodsmentioning

confidence: 99%

Generating Contextual Variables From Web-Based Data for Health Research: Tutorial on Web Scraping, Text Mining, and Spatial Overlay Analysis

Galvez-Hernandez,

Gonzalez-Viana,

Gonzalez-de Paz

et al. 2024

JMIR Public Health Surveill

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Background Contextual variables that capture the characteristics of delimited geographic or jurisdictional areas are vital for health and social research. However, obtaining data sets with contextual-level data can be challenging in the absence of monitoring systems or public census data. Objective We describe and implement an 8-step method that combines web scraping, text mining, and spatial overlay analysis (WeTMS) to transform extensive text data from government websites into analyzable data sets containing contextual data for jurisdictional areas. Methods This tutorial describes the method and provides resources for its application by health and social researchers. We used this method to create data sets of health assets aimed at enhancing older adults’ social connections (eg, activities and resources such as walking groups and senior clubs) across the 374 health jurisdictions in Catalonia from 2015 to 2022. These assets are registered on a web-based government platform by local stakeholders from various health and nonhealth organizations as part of a national public health program. Steps 1 to 3 involved defining the variables of interest, identifying data sources, and using Python to extract information from 50,000 websites linked to the platform. Steps 4 to 6 comprised preprocessing the scraped text, defining new variables to classify health assets based on social connection constructs, analyzing word frequencies in titles and descriptions of the assets, creating topic-specific dictionaries, implementing a rule-based classifier in R, and verifying the results. Steps 7 and 8 integrate the spatial overlay analysis to determine the geographic location of each asset. We conducted a descriptive analysis of the data sets to report the characteristics of the assets identified and the patterns of asset registrations across areas. Results We identified and extracted data from 17,305 websites describing health assets. The titles and descriptions of the activities and resources contained 12,560 and 7301 unique words, respectively. After applying our classifier and spatial analysis algorithm, we generated 2 data sets containing 9546 health assets (5022 activities and 4524 resources) with the potential to enhance social connections among older adults. Stakeholders from 318 health jurisdictions registered identified assets on the platform between July 2015 and December 2022. The agreement rate between the classification algorithm and verified data sets ranged from 62.02% to 99.47% across variables. Leisure and skill development activities were the most prevalent (1844/5022, 36.72%). Leisure and cultural associations, such as social clubs for older adults, were the most common resources (878/4524, 19.41%). Health asset registration varied across areas, ranging between 0 and 263 activities and 0 and 265 resources. Conclusions The sequential use of WeTMS offers a robust method for generating data sets containing contextual-level variables from internet text data. This study can guide health and social researchers in efficiently generating ready-to-analyze data sets containing contextual variables.

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Herramientas para una orientación comunitaria de la atención primaria: el mejor sustrato para la prescripción social

Calaf

González-Viana

2021

FMC - Formación Médica Continuada en Atención Primaria

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Facilitando la salud comunitaria. Indicadores básicos de salud por área básica de salud en Cataluña

Cited by 5 publications

References 3 publications

Social Inequalities in Changes in Diet in Adolescents during Confinement Due to COVID-19 in Spain: The DESKcohort Project

Social Inequalities in Changes in Diet in Adolescents during Confinement Due to COVID-19 in Spain: The DESKcohort Project

Generating Contextual Variables From Web-Based Data for Health Research: Tutorial on Web Scraping, Text Mining, and Spatial Overlay Analysis

Herramientas para una orientación comunitaria de la atención primaria: el mejor sustrato para la prescripción social

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