Mileny Caroline Menezes de Freitas
Biographic Data
| ID | 8660603 |
|---|---|
| NAME | Mileny Caroline Menezes de Freitas |
| GIVEN NAMES | Mileny Caroline Menezes |
| FAMILY NAME | de Freitas |
| SIGNATURE | DE FREITAS M C M |
| AFFILIATIONS | Laboratory of Physical Activity and Health, Center of Physical Education and Sports, Londrina State University (UEL) Londrina Brazil |
| ORCID | 0000-0002-5040-1633 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Screen time tracking across electronic devices in school-aged adolescents
The aim of this article is to verify the tracking of screen time (ST) on different electronic devices in school-aged adolescent during a three-year follow-up. This is a three-year longitudinal study involving students. The baseline data collection occurred in 2016, and the follow-up in 2019. A total of 151 adolescents of both sexes aged 14.9 (0.9) years participated. ST was analyzed by self-reported questions about time spent watching television …
Is the Association Between Sports Participation in Childhood and Adolescence and Cardiometabolic Risk Mediated by Cardiorespiratory Fitness in Adulthood
Objective Analyze the direct and indirect associations between sports participation (SP) during childhood and adolescence and the metabolic risk profile in adulthood. Additionally, investigate whether the relationship is mediated by current levels of cardiorespiratory fitness (CRF). Methods A retrospective observational study was conducted with 123 young adults (61 males), aged 18–25 years. Metabolic variables included body mass index (BMI), wais…
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Is the Association Between Sports Participation in Childhood and Adolescence and Cardiometabolic Risk Mediated by Cardiorespiratory Fitness in Adulthood
Objective Analyze the direct and indirect associations between sports participation (SP) during childhood and adolescence and the metabolic risk profile in adulthood. Additionally, investigate whether the relationship is mediated by current levels of cardiorespiratory fitness (CRF). Methods A retrospective observational study was conducted with 123 young adults (61 males), aged 18–25 years. Metabolic variables included body mass index (BMI), wais…
Screen time tracking across electronic devices in school-aged adolescents
The aim of this article is to verify the tracking of screen time (ST) on different electronic devices in school-aged adolescent during a three-year follow-up. This is a three-year longitudinal study involving students. The baseline data collection occurred in 2016, and the follow-up in 2019. A total of 151 adolescents of both sexes aged 14.9 (0.9) years participated. ST was analyzed by self-reported questions about time spent watching television …
Baseline (sea) (1 work) · Child Development and Digital Technology (1 work) · Children's Physical and Motor Development (1 work) · Data collection (1 work) · Ergonomics and Musculoskeletal Disorders (1 work) · Impact of Technology on Adolescents (1 work) · Longitudinal study (1 work) · Mobile device (1 work) · Obesity, Physical Activity, Diet (1 work) · Physical Activity and Health (1 work)