Cardiometabolic Risk Factors and Physical Activity Patterns Maximizing Fitness and Minimizing Fatness Variation in Malaysian Adolescents: A Novel Application of Reduced Rank Regression
Patterns of physical activity (PA) that optimize both fitness and fatness may better predict cardiometabolic health. Reduced rank regression (RRR) was applied to identify combinations of the type (e.g., football vs. skipping), location and timing of activity, explaining variation in cardiorespirator...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
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MDPI
2019
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| _version_ | 1825722021137350656 |
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| author | Toumpakari, Zoi Jago, Russell Howe, Laura D. Majid, Hazreen Abdul Papadaki, Angeliki Mohammadi, Shooka Jalaludin, Muhammad Yazid Dahlui, Maznah Mohamed, Mohd Nahar Azmi Tin, Tin Su Johnson, Laura |
| author_facet | Toumpakari, Zoi Jago, Russell Howe, Laura D. Majid, Hazreen Abdul Papadaki, Angeliki Mohammadi, Shooka Jalaludin, Muhammad Yazid Dahlui, Maznah Mohamed, Mohd Nahar Azmi Tin, Tin Su Johnson, Laura |
| author_sort | Toumpakari, Zoi |
| collection | UM |
| description | Patterns of physical activity (PA) that optimize both fitness and fatness may better predict cardiometabolic health. Reduced rank regression (RRR) was applied to identify combinations of the type (e.g., football vs. skipping), location and timing of activity, explaining variation in cardiorespiratory fitness (CRF) and Body Mass Index (BMI). Multivariable regressions estimated longitudinal associations of PA pattern scores with cardiometabolic health in n = 579 adolescents aged 13–17 years from the Malaysian Health and Adolescent Longitudinal Research Team study. PA pattern scores in boys were associated with higher fitness (r = 0.3) and lower fatness (r = −0.3); however, in girls, pattern scores were only associated with higher fitness (r = 0.4) (fatness, r = −0.1). Pattern scores changed by β = −0.01 (95% confidence interval (CI) −0.04, 0.03) and β = −0.08 (95% CI −0.1, −0.06) per year from 13 to 17 years in boys and girls respectively. Higher CRF and lower BMI were associated with better cardiometabolic health at 17 years, but PA pattern scores were not in either cross-sectional or longitudinal models. RRR identified sex-specific PA patterns associated with fitness and fatness but the total variation they explained was small. PA pattern scores changed little through adolescence, which may explain the limited evidence on health associations. Objective PA measurement may improve RRR for identifying optimal PA patterns for cardiometabolic health. © 2019 by the authors. Licensee MDPI, Basel, Switzerland. |
| first_indexed | 2024-03-06T05:59:16Z |
| format | Article |
| id | um.eprints-23227 |
| institution | Universiti Malaya |
| last_indexed | 2024-03-06T05:59:16Z |
| publishDate | 2019 |
| publisher | MDPI |
| record_format | dspace |
| spelling | um.eprints-232272019-12-16T07:52:45Z http://eprints.um.edu.my/23227/ Cardiometabolic Risk Factors and Physical Activity Patterns Maximizing Fitness and Minimizing Fatness Variation in Malaysian Adolescents: A Novel Application of Reduced Rank Regression Toumpakari, Zoi Jago, Russell Howe, Laura D. Majid, Hazreen Abdul Papadaki, Angeliki Mohammadi, Shooka Jalaludin, Muhammad Yazid Dahlui, Maznah Mohamed, Mohd Nahar Azmi Tin, Tin Su Johnson, Laura R Medicine Patterns of physical activity (PA) that optimize both fitness and fatness may better predict cardiometabolic health. Reduced rank regression (RRR) was applied to identify combinations of the type (e.g., football vs. skipping), location and timing of activity, explaining variation in cardiorespiratory fitness (CRF) and Body Mass Index (BMI). Multivariable regressions estimated longitudinal associations of PA pattern scores with cardiometabolic health in n = 579 adolescents aged 13–17 years from the Malaysian Health and Adolescent Longitudinal Research Team study. PA pattern scores in boys were associated with higher fitness (r = 0.3) and lower fatness (r = −0.3); however, in girls, pattern scores were only associated with higher fitness (r = 0.4) (fatness, r = −0.1). Pattern scores changed by β = −0.01 (95% confidence interval (CI) −0.04, 0.03) and β = −0.08 (95% CI −0.1, −0.06) per year from 13 to 17 years in boys and girls respectively. Higher CRF and lower BMI were associated with better cardiometabolic health at 17 years, but PA pattern scores were not in either cross-sectional or longitudinal models. RRR identified sex-specific PA patterns associated with fitness and fatness but the total variation they explained was small. PA pattern scores changed little through adolescence, which may explain the limited evidence on health associations. Objective PA measurement may improve RRR for identifying optimal PA patterns for cardiometabolic health. © 2019 by the authors. Licensee MDPI, Basel, Switzerland. MDPI 2019 Article PeerReviewed Toumpakari, Zoi and Jago, Russell and Howe, Laura D. and Majid, Hazreen Abdul and Papadaki, Angeliki and Mohammadi, Shooka and Jalaludin, Muhammad Yazid and Dahlui, Maznah and Mohamed, Mohd Nahar Azmi and Tin, Tin Su and Johnson, Laura (2019) Cardiometabolic Risk Factors and Physical Activity Patterns Maximizing Fitness and Minimizing Fatness Variation in Malaysian Adolescents: A Novel Application of Reduced Rank Regression. International Journal of Environmental Research and Public Health, 16 (23). p. 4662. ISSN 1660-4601, DOI https://doi.org/10.3390/ijerph16234662 <https://doi.org/10.3390/ijerph16234662>. https://doi.org/10.3390/ijerph16234662 doi:10.3390/ijerph16234662 |
| spellingShingle | R Medicine Toumpakari, Zoi Jago, Russell Howe, Laura D. Majid, Hazreen Abdul Papadaki, Angeliki Mohammadi, Shooka Jalaludin, Muhammad Yazid Dahlui, Maznah Mohamed, Mohd Nahar Azmi Tin, Tin Su Johnson, Laura Cardiometabolic Risk Factors and Physical Activity Patterns Maximizing Fitness and Minimizing Fatness Variation in Malaysian Adolescents: A Novel Application of Reduced Rank Regression |
| title | Cardiometabolic Risk Factors and Physical Activity Patterns Maximizing Fitness and Minimizing Fatness Variation in Malaysian Adolescents: A Novel Application of Reduced Rank Regression |
| title_full | Cardiometabolic Risk Factors and Physical Activity Patterns Maximizing Fitness and Minimizing Fatness Variation in Malaysian Adolescents: A Novel Application of Reduced Rank Regression |
| title_fullStr | Cardiometabolic Risk Factors and Physical Activity Patterns Maximizing Fitness and Minimizing Fatness Variation in Malaysian Adolescents: A Novel Application of Reduced Rank Regression |
| title_full_unstemmed | Cardiometabolic Risk Factors and Physical Activity Patterns Maximizing Fitness and Minimizing Fatness Variation in Malaysian Adolescents: A Novel Application of Reduced Rank Regression |
| title_short | Cardiometabolic Risk Factors and Physical Activity Patterns Maximizing Fitness and Minimizing Fatness Variation in Malaysian Adolescents: A Novel Application of Reduced Rank Regression |
| title_sort | cardiometabolic risk factors and physical activity patterns maximizing fitness and minimizing fatness variation in malaysian adolescents a novel application of reduced rank regression |
| topic | R Medicine |
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