Background: Latin America is a heterogeneous region made up of different populations, cultures, latitudes, altitudes, and immigrants from different areas and ethnic groups.
Objective: The purpose of this study is to describe the clinical and demographic profile of patients with osteoarthritis (OA) evaluated by a selected group of rheumatologists in 13 Latin American countries.
Methods: A descriptive, observational, cross-sectional study was conducted in 13 Latin American countries of patients with symptomatic OA. Data were collected over a 3-month period using an ad hoc questionnaire to evaluate the clinical and demographic features of OA seen by rheumatologists.
Results: Among the 3040 patients, their average age was 62.5 years, and female-to-male ratio was 4.8:1. Patients with body mass index of greater than 30 kg/m or obesity was found in 38.2%. Approximately 88% had primary OA. Joints with OA were as follows: knee 31.2%, hand 9.5%, hand and knee 22.9%, proximal and distal interphalangeal joints (erosive OA) 6.5%, axial 6.6%, and hip 1.3%. Approximately 88.5% had radiographic severity of grade 2 or 3 on Kellgren-Lawrence scale (0-4). Nonsteroidal anti-inflammatory drugs were the predominant OA treatment included in combinations with glucosamine sulfate/chondroitin and viscosupplementation. Associated comorbidities included hypertension (39%), obesity (36.3%), diabetes mellitus (12%), and without comorbidity (12.7%).
Conclusions: This is 1 of the largest population studies that evaluated the characteristics of OA in 3040 patients evaluated by rheumatologists in 13 Latin American countries. This study provides important data for each Latin American country to develop new health care planning in management of OA.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1097/RHU.0000000000000281 | DOI Listing |
Proc Natl Acad Sci U S A
January 2025
Department of Sociology, University of California, Irvine, CA 92697-5100.
In recent years, Brazil's non-White (Brown and Black) population became a numerical majority for the first time since the 19th century. Although we know this change was mostly due to racial reclassification, we do not know how such changes are related to skin color, the primary marker of race in Brazil. Using data from six Latin American Public Opinion Project (LAPOP), or America's Barometer, surveys from 2010 to 2023, we examine how changes in racial self-identification (White, Brown, or Black) are related to respondent skin color (light, medium, or dark).
View Article and Find Full Text PDFHelicobacter
January 2025
Department of Public Health, University of Otago, Wellington, South, New Zealand.
Background: As seen globally, there are up to sixfold differences in gastric cancer mortality by ethnicity in Aotearoa New Zealand, and H. pylori is the major modifiable risk factor. This study investigates whether current H.
View Article and Find Full Text PDFPublic Health Nutr
January 2025
Department of Anthropology and Institute for Policy Research, Northwestern University, Evanston, IL, USA.
Objective: Explore the relationship between water insecurity and food security and their covariates in Mexican households.
Design: A cross-sectional study with nationally representative data from the National Health and Nutrition Survey-Continuous 2021 (in Spanish, ENSANUT-Continua 2021), collected data from 12,619 households.
Setting: Water insecurity was measured using the Household Water Insecurity Experiences (HWISE) Scale in Spanish and adapted to the Mexican context.
BMJ Ment Health
January 2025
Division of Psychiatry, UCL, London, UK.
Background: Stressful life events (SLEs) are associated with increased risk of depression or anxiety. Coping mechanisms may moderate this relationship but little is known on this topic in young people or in Latin America.
Aim: To investigate whether coping strategies predict odds of depression and/or anxiety and moderate the relationship between SLEs and depression and/or anxiety in young people in Peru, Lima and Bogotá.
BMJ Open
January 2025
Universidade Federal de Pelotas, Pelotas, RS, Brazil.
Introduction: With the development of technology, the use of machine learning (ML), a branch of computer science that aims to transform computers into decision-making agents through algorithms, has grown exponentially. This protocol arises from the need to explore the best practices for applying ML in the communication and management of occupational risks for healthcare workers.
Methods And Analysis: This scoping review protocol details a search to be conducted in the academic databases, Public Medical Literature Analysis and Retrieval System Online, through the Virtual Health Library: Medical Literature Analysis and Retrieval System, Latin American and Caribbean Literature in Health Sciences, West Pacific Region Index Medicus, Nursing Database and Scientific Electronic Library Online, Scopus, Web of Science and IEEE Xplore Digital Library and Excerpta Medica Database.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!