Anthropometric parameters in metabolic syndrome in brazilian adolescents
Confirmatory factor analysis
Bibliographic Data
| ID | 16894064 |
|---|---|
| Authors | Joanilva Ribeiro Lopes (0000-0003-1214-678X, corresponding author), Renê Ferreira Da Silva-Junior (0000-0002-3462-3930), Rene Ferreira da Silva Junior, Adélia Dayane Guimaraes Fonseca (0000-0002-1168-7106), Orlene Veloso Dias (0000-0002-9017-7875), Diego Dias De Araújo (0000-0002-8927-6163), Ricardo Otávio Maia Gusmão (0000-0001-9941-1114), Sandemax Pereira Dos Santos (0000-0002-6911-8256), Geraldo Darci Ribeiro Soares, Ana Carolina Campos Barbosa Soares, Claudiana Donato Bauman (0000-0002-2462-3048), André Luíz Gomes Carneiro (0000-0002-9498-499X), Hanna Beatriz Bacelar Tibães (0000-0001-8553-4666), Valdira Vieira de Oliveira (0000-0003-2020-2489), Marilene Ribeiro Almeida Costa (0000-0002-2147-3371), Hellen Juliana Costa Diniz, Túlio Torres Vargas (0000-0003-1810-7335), Carla Silvana De Oliveira E Silva (0000-0002-0658-9990), Carla Silvana Oliveira E Silva (0000-0002-2752-1557) |
| Year | 2024 |
| Volume | 16 |
| Issue | 4 |
| Pages | e3821 |
| Publication date | 2024-04-03 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Cuadernos de Educación y Desarrollo (JOURNAL) |
| Journal identifiers | ISSN: 1989-4155 • E-ISSN: 1989-4155 |
| Publisher | Brazilian Journals (PUBLISHER) |
| DOI | 10.55905/cuadv16n4-019 |
| OpenAlex | W4393931751 |
| Language | EN |
| References cited | 21 |
This study aims to identify the influence of anthropometric variables on the patterns of clustering of metabolic and hemodynamic variables in the metabolic syndrome in adolescents, being an epidemiological, cross-sectional, analytical study conducted with 635 adolescents from public schools in the municipality of Montes Claros, state of Minas Gerais, Brazil. Methods: the metabolic, hemodynamic and anthropometric parameters were evaluated and the data analysis was processed using the Statistical Package for Social Sciences for Windows software. Results: three diferente models stratified by gender were adjusted that were estimated through Confirmatory Factor Analysis by the maximum likelihood method implemented in the IBM SPSS AMOS 23.0 software. Conclusion: The profile found could contribute to the consolidation of the SM construct, allowing early identification and favoring the creation of strategies to prevent this disease, avoiding adverse clinical outcomes
Anthropometry · Confirmatory factor analysis · Metabolic syndrome · Obesity · Statistics · Structural equation modeling · Clinical Psychology · Health and Lifestyle Studies · Mathematics · Medicine · Physical Education and Gymnastics · Psychology · Science and Education Research · Internal Medicine
| Citation velocity | historical |
|---|---|
| Highly cited | No |