The present study was carried out to assess the influence of socioeconomic status on lung functions and to suggest prediction equations for Indian children. For this purpose, 2,616 normal, healthy schoolchildren aged between 5-15 years were recruited. Boys were classified into three groups, i.e., high-income (HIG), middle-income (MIG), and low-income (LIG), while girls were classified into HIG and LIG groups, based on socioeconomic status (SES). Height, weight, chest circumference, body surface area (BSA), fat-free mass (FFM), and body fat were assessed. Forced expiratory volume in 1 sec (FEV1), forced vital capacity (FVC), FEV1/FVC ratio, and peak expiratory flow rate (PEFR) were measured. The results, before and after adjustment of physical characteristics, showed that anthropometry, body composition, and lung functions were significantly higher in HIG compared to MIG and LIG children, while in girls, no differences were observed in physical characteristics after adjustments. Multiple linear regression equations were developed to predict FEV1, FVC, and PEFR, using independent variables like age, height, fat-free mass, and SES. It is opined that these equations could be used as Indian reference equations for healthy children based on the SES.
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http://dx.doi.org/10.1002/ppul.20206 | DOI Listing |
J Med Internet Res
January 2025
Vibrent Health, Inc, Fairfax, VA, United States.
Background: Longitudinal cohort studies have traditionally relied on clinic-based recruitment models, which limit cohort diversity and the generalizability of research outcomes. Digital research platforms can be used to increase participant access, improve study engagement, streamline data collection, and increase data quality; however, the efficacy and sustainability of digitally enabled studies rely heavily on the design, implementation, and management of the digital platform being used.
Objective: We sought to design and build a secure, privacy-preserving, validated, participant-centric digital health research platform (DHRP) to recruit and enroll participants, collect multimodal data, and engage participants from diverse backgrounds in the National Institutes of Health's (NIH) All of Us Research Program (AOU).
Cad Saude Publica
January 2025
Instituto de Investigaciones en Ciencias de la Salud, Universidad Nacional de Córdoba, Córdoba, Argentina.
This study aimed to identify latent (unobservable) dimensions representing specific physical activity-related behaviors and explore their potential effects on obesity burden and spatial distribution in Colombia. A cross-sectional study (n = 9,658) was conducted based on the Colombian National Survey of Nutritional Status. A generalized structural equations model was proposed, combining exposure and measurement models to define a disease model.
View Article and Find Full Text PDFEpidemiol Serv Saude
January 2025
Universidade de Brasília, Brasília, DF, Brazil.
Objective: To estimate measles-mumps-rubella vaccination coverage, delay and loss to follow-up in children up to 24 months old living in Brazilian cities.
Methods: Surveys and questionnaires with a retrospective cohort of live births in 2017-2018, analyzing vaccination coverage and sociodemographic data of children and families, based on vaccination card records and interviews.
Results: Valid coverage of first dose was 90.
Epidemiol Serv Saude
January 2025
Universidade de Brasília, Brasília, DF, Brazil.
Objective: To analyze vaccine hesitancy associated factors and repercussions on vaccination coverage.
Methods: Cohort of children born in 2017-2018, living in Brazilian state capitals, Federal District (FD), and 12 inner region cities, stratified by socioeconomic level. National Vaccination Coverage Survey (2020) data on hesitancy, access and programmatic difficulties were obtained by interview and coverage was calculated from vaccination card dose and date records.
Rev Gaucha Enferm
January 2025
Universidade Estadual de Maringá. Programa de Pós-Graduação em Enfermagem. Departamento de Enfermagem. Maringá, Paraná, Brasil.
Objective: To analyze the association between sociodemographic characteristics, level of perceived stress and resilience with family functioning of immigrants in Brazil.
Method: Cross-sectional study with 122 immigrants living in a municipality in southern Brazil. Data collected in 2021, using questions for characterization, Family Cohesion and Adaptability, Resilience and Perceived Stress Assessment Scale.
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