Objectives: To establish the effectiveness of the public benefits and services of the "Chile Grows with You" and "Protect Network" programs for socially vulnerable women and children in an urban community in the Metropolitan Region of Chile.
Method: Descriptive study employing a questionnaire. The sample consisted of 132 mothers and their 133 infants, all grouped according to social vulnerability. Primary data were collected via a structured interview of the mothers and were complemented with institutional (secondary) data. Descriptive and associative analyses were performed.
Results: The perception of social vulnerability by the professionals was low at the time of admission into the program. The effectiveness of the universal and specific benefits was low, with better results for the children than for the mothers. However, no significant differences were observed according to vulnerability. Another finding was the low access to specific benefits for children with psychosocial risk and psychomotor delay, especially in the most vulnerable group.
Conclusion: The results revealed a gap in the access to the benefits guaranteed by law. To overcome this situation, nurses must strengthen their skills in contextualized health practices and the comprehensive administration of interdisciplinary and intersectoral networks.
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http://dx.doi.org/10.1590/S0104-11692013000500009 | DOI Listing |
Interv Pain Med
March 2025
Department of Pain Medicine, Mayo Clinic, Jacksonville, FL, USA.
Objectives: Patients suffering from chronic pain use online platforms, such as Reddit, to engage in personal exchanges while maintaining anonymity. Analysis of comments and questions posted on these online forums provide unique insight into conversations that patients may be having outside of the physician's office regarding pain-relief procedures, specifically radiofrequency ablation (RFA).
Materials And Methods: Using the Python Reddit Application Programming Interface Wrapper, we identified and screened Reddit users' posts.
Rev Panam Salud Publica
January 2025
Blue Sky Development Consulting Port of Spain Trinidad and Tobago Blue Sky Development Consulting, Port of Spain, Trinidad and Tobago.
This paper delineates the development of the Caribbean Research for Action Agenda which aims to empower Caribbean Small Island Developing States to reduce their vulnerabilities to the effects of climate change on health. The Caribbean Research for Action Agenda emerged from collaboration between nongovernmental organizations, academic institutions, and multilateral agencies that organized a conference on climate change and health in the Caribbean. This Agenda was formulated by prioritizing research areas, synthesizing evidence from conference presentations and scientific literature, and holding consultations with stakeholders and experts.
View Article and Find Full Text PDFWorld Psychiatry
February 2025
Departments of Population and Public Health Sciences, and Psychology, and School of Social Work, University of Southern California, Los Angeles, CA, USA.
J Urban Health
January 2025
Department of Environmental Medicine and Climate Science, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, Box 1057, New York, NY, 10029, USA.
Chronological age is not an accurate predictor of morbidity and mortality risk, as individuals' aging processes are diverse. Phenotypic age acceleration (PhenoAgeAccel) is a validated biological age measure incorporating chronological age and biomarkers from blood samples commonly used in clinical practice that can better reflect aging-related morbidity and mortality risk. The heterogeneity of age-related decline is not random, as environmental exposures can promote or impede healthy aging.
View Article and Find Full Text PDFEnviron Res
January 2025
Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA; The Department of Geography and Environmental Development, Ben-Gurion University of the Negev, Beer Sheva, Israel.
The challenge of reconstructing air temperature for environmental applications is to accurately estimate past exposures even where monitoring is sparse. We present XGBoost-IDW Synthesis for air temperature (XIS-Temperature), a high-resolution machine-learning model for daily minimum, mean, and maximum air temperature, covering the contiguous US from 2003 through 2023. XIS uses remote sensing (land surface temperature and vegetation) along with a parsimonious set of additional predictors to make predictions at arbitrary points, allowing the estimation of address-level exposures.
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