| 1. |
- Esteban-Cornejo, Irene, et al.
(författare)
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Fitness, cortical thickness and surface area in overweight/obese children: The mediating role of body composition and relationship with intelligence
- 2019
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Ingår i: NeuroImage. - : ACADEMIC PRESS INC ELSEVIER SCIENCE. - 1053-8119 .- 1095-9572. ; 186, s. 771-781
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Tidskriftsartikel (refereegranskat)abstract
- Cortical thickness and surface area are thought to be genetically unrelated and shaped by independent neurobiological events suggesting that they should be considered separately in morphometric analyses. Although the developmental trajectories of cortical thickness and surface area may differ across brain regions and ages, there is no consensus regarding the relationships of physical fitness with cortical thickness and surface area as well as for its subsequent influence on intelligence. Thus, this study examines: (i) the associations of physical fitness components (i.e., cardiorespiratory fitness, speed-agility and muscular fitness) with overall and regional cortical thickness and surface area; (ii) whether body composition indicators (i.e., body mass index, fat-free mass index and fat mass index) mediate these associations; and (iii) the association of physical fitness and cortical thickness with intelligence in overweight/obese children. A total of 101 overweight/obese children aged 8-11 years were recruited in Granada, Spain. The physical fitness components were assessed following the ALPHA health-related fitness test battery. T1-weighted images were acquired with a 3.0 Tesla Siemens Magnetom Tim Trio system. We used FreeSurfer software version 5.3.0 to assess cortical thickness (mm) and surface area (mm(2)). The main results showed that cardiorespiratory fitness and speed-agility were related to overall cortical thickness (beta = 0.321 and beta = 0.302, respectively; both P amp;lt; 0.05), and in turn, cortical thickness was associated with higher intelligence (beta = 0.198, P amp;lt; 0.05). Muscular fitness was not related to overall cortical thickness. None of the three physical fitness components were related to surface area (p amp;gt; 0.05). The associations of cardiorespiratory fitness and speed-agility with overall cortical thickness were mediated by fat mass index (56.86% amp; 62.28%, respectively). In conclusion, cardiorespiratory fitness and speed-agility, but not muscular fitness, are associated with overall cortical thickness, and in turn, thicker brain cortex is associated with higher intelligence in overweight/obese children. Yet, none of the three physical fitness components were related to surface area. Importantly, adiposity may hinder the benefits of cardiorespiratory fitness and speed-agility on cortical thickness. Understanding individual differences in brain morphology may have important implications for educators and policy makers who aim to determine policies and interventions to maximize academic learning and occupational success later in life.
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| 2. |
- Henriksson, Pontus, et al.
(författare)
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A Smartphone App to Promote Healthy Weight Gain, Diet, and Physical Activity During Pregnancy (HealthyMoms) : Protocol for a Randomized Controlled Trial
- 2019
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Ingår i: JMIR Research Protocols. - : JMIR Publications Inc.. - 1929-0748. ; 8:3
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: Excessive gestational weight gain is common and associated with adverse outcomes both in the short and long term. Although traditional lifestyle-based interventions have shown to mitigate excess gestational weight gain, little is known about whether mobile Health (mHealth) apps can promote healthy weight gain, diet, and physical activity during pregnancy.OBJECTIVE: The primary aim of the HealthyMoms trial is to determine the effectiveness of a smartphone app (HealthyMoms) for mitigating excess gestational weight gain during pregnancy. Secondary aims are to determine the effectiveness of the app on dietary habits, physical activity, body fatness, and glycemia during pregnancy.METHODS: HealthyMoms is a two-arm randomized controlled trial. Women are being recruited at routine visits at the maternity clinics in Linköping, Norrköping and Motala, Sweden. Women are randomized to the control or intervention group (n=150 per group). All women will receive standard care, and women in the intervention group will also receive the HealthyMoms smartphone app.RESULTS: Recruitment of participants to the trial was initiated in October 2017, and 190 women have so far completed the baseline measurement. The baseline measures are estimated to be finalized in December 2019, and the follow-up measures are estimated to be completed in June 2020.CONCLUSIONS: This project will evaluate a novel smartphone app intervention integrated with existing maternity health care. If successful, it has great potential to be implemented nationally in order to promote healthy weight gain and health behaviors during pregnancy.INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/13011.
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| 3. |
- Migueles, Jairo H., et al.
(författare)
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Accelerometer Data Processing and Energy Expenditure Estimation in Preschoolers
- 2019
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Ingår i: Medicine & Science in Sports & Exercise. - : LIPPINCOTT WILLIAMS & WILKINS. - 0195-9131 .- 1530-0315. ; 51:3, s. 590-598
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Tidskriftsartikel (refereegranskat)abstract
- Purpose To assess the capacity of different acceleration metrics from wrist accelerations to estimate total energy expenditure (TEE) and activity energy expenditure (AEE) using doubly labeled water in preschool children. Methods Thirty-nine preschoolers (5.5 0.1 yr) were included. Total energy expenditure was measured using doubly labeled water during 14 d, and AEE was then calculated using a predicted basal metabolic rate. Participants wore a wGT3X-BT accelerometer on their nondominant wrist for 5 d. We derived the following metrics from raw accelerations: raw ActiGraph activity counts using the normal filter and the low-frequency extension; and alternate summary metrics, such as the Euclidian norm minus 1g (ENMO), Euclidian norm of the high-pass-filtered accelerations (HFEN), the bandpass-filtered accelerations, the HFEN plus Euclidean norm of low-pass filtered accelerations minus 1g (HFEN+) and the mean amplitude deviation. Results Alternate summary metrics explained a larger proportion of the variance in TEE and AEE than ActiGraphs activity counts (counts, 7-8 and 25% of TEE and AEE; alternate summary metrics, 13%-16% and 35%-39% of TEE and AEE). Adjustments for body weight and height resulted in an explanation of 51% of AEE by ENMO. All of the metrics adjusted for fat mass and fat-free mass explained up to 84% and 67% of TEE and AEE, respectively. Conclusions ENMO and the other alternate summary metrics explained more of the variance in TEE and AEE than the ActiGraphs activity counts in 5-yr-old children, suggesting further exploration of these variables in studies on physical activity and energy expenditure in preschoolers. Our results need confirmation in other populations with wider age groups and varying body compositions.
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| 4. |
- Migueles, Jairo H., et al.
(författare)
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Comparability of accelerometer signal aggregation metrics across placements and dominant wrist cut points for the assessment of physical activity in adults
- 2019
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Ingår i: Scientific Reports. - : NATURE PUBLISHING GROUP. - 2045-2322. ; 9
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Tidskriftsartikel (refereegranskat)abstract
- Large epidemiological studies that use accelerometers for physical behavior and sleep assessment differ in the location of the accelerometer attachment and the signal aggregation metric chosen. This study aimed to assess the comparability of acceleration metrics between commonly-used body-attachment locations for 24 hours, waking and sleeping hours, and to test comparability of PA cut points between dominant and non-dominant wrist. Forty-five young adults (23 women, 18-41 years) were included and GT3X + accelerometers (ActiGraph, Pensacola, FL, USA) were placed on their right hip, dominant, and non-dominant wrist for 7 days. We derived Euclidean Norm Minus One g (ENMO), Low-pass filtered ENMO (LFENMO), Mean Amplitude Deviation (MAD) and ActiGraph activity counts over 5-second epochs from the raw accelerations. Metric values were compared using a correlation analysis, and by plotting the differences by time of the day. Cut points for the dominant wrist were derived using Lins concordance correlation coefficient optimization in a grid of possible thresholds, using the nondominant wrist estimates as reference. They were cross-validated in a separate sample (N = 36, 10 women, 22-30 years). Shared variances between pairs of acceleration metrics varied across sites and metric pairs (range in r(2) : 0.19-0.97, all p amp;lt; 0.01), suggesting that some sites and metrics are associated, and others are not. We observed higher metric values in dominant vs. non-dominant wrist, thus, we developed cut points for dominant wrist based on ENMO to classify sedentary time (amp;lt;50 mg), light PA (50-110 mg), moderate PA (110-440 mg) and vigorous PA (amp;gt;= 440 mg). Our findings suggest differences between dominant and non-dominant wrist, and we proposed new cut points to attenuate these differences. ENMO and LFENMO were the most similar metrics, and they showed good comparability with MAD. However, counts were not comparable with ENMO, LFENMO and MAD.
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| 5. |
- Migueles, Jairo H., et al.
(författare)
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Comparability of published cut-points for the assessment of physical activity: Implications for data harmonization
- 2019
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Ingår i: Scandinavian Journal of Medicine and Science in Sports. - : WILEY. - 0905-7188 .- 1600-0838. ; 29:4, s. 566-574
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Tidskriftsartikel (refereegranskat)abstract
- This study aimed to compare estimations of sedentary time (SED) and time spent in physical activity (PA) intensities in children with overweight/obesity across different age-appropriate cut-points based on different body-worn attachment sites and acceleration metrics. A total of 104 overweight/obese children (10.1 +/- 1.1 years old, 43 girls) concurrently wore ActiGraph GT3X+ accelerometers on their right hip and non-dominant wrist for 7 days (24 hours). Euclidean norm -1 g (ENMO) and activity counts from both vertical axis (VACounts) and vector magnitude (VMCounts) were derived. We calculated estimates of SED and light, moderate, vigorous, and moderate-to-vigorous (MVPA) intensity PA using different published cut-points for children. The prevalence of children meeting the recommended 60 min/d of MVPA was calculated. The time spent in SED and the different PA intensities largely differed across cut-points based on different attachment sites and acceleration metrics (ie, SED = 11-252 min/d; light PA = 10-217 min/d; moderate PA = 1-48 min/d; vigorous PA = 1-35 min/d; MVPA = 4-66 min/d). Consequently, the prevalence of children meeting the recommended 60 min/d of MVPA varied from 8% to 96% of the study sample. The present study provides a comprehensive comparison between available cut-points for different attachment and acceleration metrics in children. Furthermore, our data clearly show that it is not possible (and probably will never be) to know the prevalence of meeting the PA guidelines based on accelerometer data since apparent differences range from almost zero to nearly everyone meeting the guidelines.
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| 6. |
- Mora-Gonzalez, Jose, et al.
(författare)
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Physical Fitness, Physical Activity, and the Executive Function in Children with Overweight and Obesity
- 2019
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Ingår i: Journal of Pediatrics. - : MOSBY-ELSEVIER. - 0022-3476 .- 1097-6833. ; 208, s. 50-
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Tidskriftsartikel (refereegranskat)abstract
- Objective To examine the associations of physical fitness and physical activity with executive function in children with overweight and obesity. Study design A cross-sectional study involving 100 children with overweight and obesity (10.1 +/- 1.1 years old; 58.0% boys). We assessed physical fitness components (ie, muscular strength, speed-agility, and cardiorespiratory fitness) using the ALPHA battery, and physical activity and sedentary time by accelerometry. Cognitive flexibility was measured by the Design Fluency Test and Trail Making Test, inhibition by the Stroop test, and planning ability by the Zoo Map Test. Results Handgrip strength was positively associated with planning ability (P = .025). Speed-agility was positively related to cognitive flexibility and inhibition (P amp;lt; .05). Cardiorespiratory fitness and an overall fitness Z-score were positively associated with indicators of cognitive flexibility (P amp;lt; .05). No associations were found for physical activity and sedentary time with executive function (P amp;gt;= .05). Conclusions Muscular strength, speed agility, and cardiorespiratory fitness are associated with executive function in children with overweight and obesity. Cognitive flexibility seems to be more robustly associated with all fitness components, whereas planning ability and inhibition might depend on the component analyzed. The positive associations found in the present study in children with overweight and obesity call for more exercise-based randomized controlled trials in this population.
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