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Islam MR, Nyström CD, Kippler M, Kajantie E, Löf M, Rahman SM, Ekström EC. Accelerometer-Measured Physical Activity, Fitness and Indicators of Cardiometabolic Risk among Rural Adolescents: A Cross-Sectional Study at 15-Year Follow-up of the MINIMat Cohort. J Epidemiol Glob Health 2024:10.1007/s44197-024-00245-1. [PMID: 38771489 DOI: 10.1007/s44197-024-00245-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Accepted: 05/12/2024] [Indexed: 05/22/2024] Open
Abstract
BACKGROUND Little is known about the relationship of physical activity (PA) and fitness with cardiometabolic risk among rural adolescents in low- and middle-income countries. Thus, we examined the associations of PA and fitness with selected cardiometabolic indicators along with potential gender-based differences in a birth cohort of rural adolescents from southeast Bangladesh. METHODS We utilized data from the 15-year follow-up of Maternal and Infant Nutrition Interventions in Matlab (MINIMat) cohort (n = 2253). Wrist-worn ActiGraph wGT3x-BT accelerometers were used to estimate sedentary time (ST) and PA. Fitness was assessed using: handgrip strength, standing long jump, and Chester Step Test. Anthropometric parameters, systolic blood pressure (SBP), and fasting lipid, insulin and glucose levels were measured. We calculated insulin resistance using the Homeostasis Model Assessment equation (HOMA-IR). Linear regression and isotemporal substitution models were fitted. RESULTS The adolescents spent 64 min/day (inter-quartile range: 50-81) in moderate-to-vigorous physical activity (MVPA). A 10-minute-per-day higher vigorous PA (VPA) was associated with: 4.9% (95% confidence interval (CI): 2.9-6.8%) lower waist circumference (WC), 3.2 mmHg (95% CI: 1.5-4.8) lower SBP, 10.4% (95% CI: 2.9-17.3%) lower TG, and 24.4% (95% CI: 11.3-34.9%) lower HOMA-IR. MVPA showed similar associations of notably smaller magnitude. Except for WC, the associations were more pronounced among the boys. Substituting ST with VPA of equal duration was associated with lower WC, SBP, triglyceride and HOMA-IR. Grip strength was favorably associated with all indicators, displaying considerably large effect sizes. CONCLUSION Our findings indicated beneficial roles of PA- particularly VPA- and muscular fitness in shaping cardiometabolic profile in mid-adolescence. VPA and grip strength may represent potential targets for preventive strategies tailored to adolescents in resource-limited settings.
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Affiliation(s)
| | | | - Maria Kippler
- Institute of Environmental Medicine, Unit of Metals and Health, Karolinska Institutet, Stockholm, Sweden
| | - Eero Kajantie
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
- PEDEGO Research Unit, MRC Oulu, Oulu University Hospital & University of Oulu, Oulu, Finland
| | - Marie Löf
- Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Syed Moshfiqur Rahman
- Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden
- Maternal and Child Health Division, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh
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Kretschmer L, Salali GD, Andersen LB, Hallal PC, Northstone K, Sardinha LB, Dyble M, Bann D. Gender differences in the distribution of children's physical activity: evidence from nine countries. Int J Behav Nutr Phys Act 2023; 20:103. [PMID: 37667391 PMCID: PMC10478357 DOI: 10.1186/s12966-023-01496-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 07/26/2023] [Indexed: 09/06/2023] Open
Abstract
BACKGROUND Physical activity in childhood is thought to influences health and development. Previous studies have found that boys are typically more active than girls, yet the focus has largely been on differences in average levels or proportions above a threshold rather than the full distribution of activity across all intensities. We thus examined differences in the distribution of physical activity between girls and boys in a multi-national sample of children. METHODS We used the harmonised International Children Accelerometry Database (ICAD), including waist-worn accelerometry data from 15,461 individuals (Boys: 48.3%) from 9 countries. Employing Generalised Additive Models of Location, Shape, and Scale (GAMLSS) we investigated gender differences in the distribution of individuals, including comparisons of variability (SD) and average physical activity levels (mean and median) and skewness. We conducted this analysis for each activity intensity (Sedentary, Light, and Moderate-to-Vigorous (MVPA)) and a summary measure (counts per minute (CPM)). RESULTS Sizable gender differences in the distribution of activity were found for moderate to vigorous activity and counts per minute, with boys having higher average levels (38% higher mean volumes of MVPA, 20% higher CPM), yet substantially more between-person variability (30% higher standard deviation (SD) for MVPA, 17% higher SD for CPM); boys' distributions were less positively skewed than girls. Conversely, there was little to no difference between girls and boys in the distribution of sedentary or light-intensity activity. CONCLUSIONS Inequality in activity between girls and boys was driven by MVPA. The higher mean volumes of MVPA in boys occurred alongside greater variability. This suggests a need to consider the underlying distribution of activity in future research; for example, interventions which target gender inequality in MVPA may inadvertently lead to increased inequality within girls.
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Affiliation(s)
- Luke Kretschmer
- Centre for Longitudinal Studies, Social Research Institute, UCL, London, UK.
- Department of Anthropology, University College London, 14 Taviton Street, London, UK.
| | - Gul Deniz Salali
- Department of Anthropology, University College London, 14 Taviton Street, London, UK
| | - Lars Bo Andersen
- Department of Sport, Food and Natural Sciences, Faculty of Teacher Education and Sports, Western Norway University of Applied Sciences, Sogndal, Norway
| | - Pedro C Hallal
- Department of Kinesiology and Community Health, University of Illinois Urbana-Champaign, Urbana-Champaign, USA
| | - Kate Northstone
- Bristol School of Medicine, Population Health Sciences, University of Bristol, Bristol, UK
| | - Luís B Sardinha
- Exercise and Health Laboratory, Faculdade de Motricidade Humana, CIPER, Universidade de Lisboa, Cruz Quebrada, Portugal
| | - Mark Dyble
- Department of Anthropology, University College London, 14 Taviton Street, London, UK
| | - David Bann
- Centre for Longitudinal Studies, Social Research Institute, UCL, London, UK
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Skinner AM, Vlachopoulos D, Barker AR, Moore SA, Rowlands AV, Soininen S, Haapala EA, Väistö J, Westgate K, Brage S, Lakka TA. Physical activity volume and intensity distribution in relation to bone, lean and fat mass in children. Scand J Med Sci Sports 2023; 33:267-282. [PMID: 36326758 PMCID: PMC10947490 DOI: 10.1111/sms.14255] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 10/05/2022] [Accepted: 11/01/2022] [Indexed: 11/05/2022]
Abstract
Considering physical activity (PA) volume and intensity may provide novel insights into the relationships of PA with bone, lean, and fat mass. This study aimed to assess the associations of PA volume, PA intensity distribution, including moderate-to-vigorous PA (MVPA) with total-body-less-head bone mineral content (BMC), lean, and fat mass in children. A population sample of 290 Finnish children (158 females) aged 9-11 years from the Physical Activity and Nutrition in Children (PANIC) Study was studied. PA, including MVPA, was assessed with a combined heart rate and movement sensor, and the uniaxial acceleration was used to calculate average-acceleration (a proxy metric for PA volume) and intensity-gradient (reflective of PA intensity distribution). Linear regression analyzed the associations of PA volume, PA intensity and MVPA with BMC, lean mass, and fat mass assessed by dual-energy X-ray absorptiometry. PA volume was positively associated with BMC in females (unstandardised regression coefficient [ß] = 0.26) and males (ß = 0.47), and positively associated with lean (ß = 7.33) and negatively associated with fat mass in males (ß = -20.62). PA intensity was negatively associated with BMC in males (ß = -0.13). MVPA was positively associated with lean mass in females and males (ß = 0.007 to 0.012), and negatively associated with fat mass in females and males (ß = -0.030 to -0.029). PA volume may be important for improving BMC in females and males, and increasing lean and reducing fat mass in males, whereas MVPA may be important for favorable lean and fat outcomes in both sexes.
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Affiliation(s)
- Annie M. Skinner
- Children's Health and Exercise Research CentreUniversity of ExeterExeterUK
- Institute of BiomedicineUniversity of Eastern FinlandKuopioFinland
| | | | - Alan R. Barker
- Children's Health and Exercise Research CentreUniversity of ExeterExeterUK
| | - Sarah A. Moore
- School of Health and Human PerformanceDalhousie UniversityHalifaxCanada
| | - Alex V. Rowlands
- Assessment of Movement Behaviours Group (AMBer), Leicester Lifestyle and Health Research Group, Diabetes Research CentreUniversity of LeicesterLeicesterUK
- NIHR Leicester Biomedical Research CentreLeicesterUK
- Division of Health Sciences, Alliance for Research in Exercise, Nutrition and Activity (ARENA), Sansom Institute for Health ResearchUniversity of South AustraliaAdelaideSouth AustraliaAustralia
| | - Sonja Soininen
- Institute of BiomedicineUniversity of Eastern FinlandKuopioFinland
- Social and Health CenterVarkausFinland
| | - Eero A. Haapala
- Institute of BiomedicineUniversity of Eastern FinlandKuopioFinland
- Faculty of Sport and Health SciencesUniversity of JyväskyläJyväskyläFinland
| | - Juuso Väistö
- Institute of BiomedicineUniversity of Eastern FinlandKuopioFinland
| | - Kate Westgate
- MRC Epidemiology UnitUniversity of CambridgeCambridgeUK
| | - Soren Brage
- MRC Epidemiology UnitUniversity of CambridgeCambridgeUK
| | - Timo A. Lakka
- Institute of BiomedicineUniversity of Eastern FinlandKuopioFinland
- Department of Clinical Physiology and Nuclear MedicineKuopio University HospitalKuopioFinland
- Foundation for Research in Health Exercise and NutritionKuopio Research Institute of Exercise MedicineKuopioFinland
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The Physical Behaviour Intensity Spectrum and Body Mass Index in School-Aged Youth: A Compositional Analysis of Pooled Individual Participant Data. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19148778. [PMID: 35886629 PMCID: PMC9320124 DOI: 10.3390/ijerph19148778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Revised: 07/04/2022] [Accepted: 07/15/2022] [Indexed: 12/10/2022]
Abstract
We examined the compositional associations between the intensity spectrum derived from incremental acceleration intensity bands and the body mass index (BMI) z-score in youth, and investigated the estimated differences in BMI z-score following time reallocations between intensity bands. School-aged youth from 63 schools wore wrist accelerometers, and data of 1453 participants (57.5% girls) were analysed. Nine acceleration intensity bands (range: 0−50 mg to ≥700 mg) were used to generate time-use compositions. Multivariate regression assessed the associations between intensity band compositions and BMI z-scores. Compositional isotemporal substitution estimated the differences in BMI z-score following time reallocations between intensity bands. The ≥700 mg intensity bandwas strongly and inversely associated with BMI z-score (p < 0.001). The estimated differences in BMI z-score when 5 min were reallocated to and from the ≥700 mg band and reallocated equally among the remaining bands were −0.28 and 0.44, respectively (boys), and −0.39 and 1.06, respectively (girls). The time in the ≥700 mg intensity band was significantly associated with BMI z-score, irrespective of sex. When even modest durations of time in this band were reallocated, the asymmetrical estimated differences in BMI z-score were clinically meaningful. The findings highlight the utility of the full physical activity intensity spectrum over a priori-determined absolute intensity cut-point approaches.
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Use of Physical Activity and Exercise to Reduce Inflammation in Children and Adolescents with Obesity. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19116908. [PMID: 35682490 PMCID: PMC9180584 DOI: 10.3390/ijerph19116908] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 06/01/2022] [Accepted: 06/03/2022] [Indexed: 12/13/2022]
Abstract
Childhood obesity is a leading public health problem worldwide, as it is increasingly prevalent and therefore responsible for serious obesity-related comorbidities, not only in childhood but also in adulthood. In addition to cardio-metabolic obesity-related disorders, recent evidence suggests that excess adipose tissue in turn is associated with immune cell infiltration, increased adipokine release, and the development of low-grade systemic inflammation obesity. Exercise is considered a non-pharmacological intervention that can delay obesity-related comorbidities, improving cardiovascular fitness and modulating the inflammatory processes. It has been reported that the anti-inflammatory effect of regular exercise may be mediated by a reduction in visceral fat mass, with a subsequent decrease in the release of adipokines from adipose tissue (AT) and/or by the induction of an anti-inflammatory environment. In this narrative review, we discuss the role of AT as an endocrine organ associated with chronic inflammation and its role in obesity-related complications, focusing on the effect of exercise in reducing inflammation in children and adolescents with obesity. Regular physical exercise must be considered as a natural part of a healthy lifestyle, and promoting physical activity starting from childhood is useful to limit the negative effects of obesity on health. The crucial role of the immune system in the development of obesity-induced inflammatory processes and the efficacy of exercise as an anti-inflammatory, non-pharmacological intervention may provide possible targets for the development of new treatments and early preventive strategies.
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Dempsey PC, Aadland E, Strain T, Kvalheim OM, Westgate K, Lindsay T, Khaw KT, Wareham NJ, Brage S, Wijndaele K. Physical activity intensity profiles associated with cardiometabolic risk in middle-aged to older men and women. Prev Med 2022; 156:106977. [PMID: 35131206 PMCID: PMC8907866 DOI: 10.1016/j.ypmed.2022.106977] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2021] [Revised: 01/20/2022] [Accepted: 01/29/2022] [Indexed: 11/16/2022]
Abstract
Accelerometers provide detailed data about physical activity (PA) across the full intensity spectrum. However, when examining associations with health, results are often aggregated to only a few summary measures [e.g. time spent "sedentary" or "moderate-to-vigorous" intensity PA]. Using multivariate pattern analysis, which can handle collinear exposure variables, we examined associations between the full PA intensity spectrum and cardiometabolic risk (CMR) in a population-based sample of middle-aged to older adults. Participants (n = 3660; mean ± SD age = 69 ± 8y and BMI = 26.7 ± 4.2 kg/m2; 55% female) from the EPIC-Norfolk study (UK) with valid accelerometry (ActiGraph-GT1M) data were included. We used multivariate pattern analysis with partial least squares regression to examine cross-sectional multivariate associations (r) across the full PA intensity spectrum [minutes/day at 0-5000 counts-per-minute (cpm); 5 s epoch] with a continuous CMR score (reflecting waist, blood pressure, lipid, and glucose metabolism). Models were sex-stratified and adjusted for potential confounders. There was a positive (detrimental) association between PA and CMR at 0-12 cpm (maximally-adjusted r = 0.08 (95%CI 0.06-0.10). PA was negatively (favourably) associated with CMR at all intensities above 13 cpm ranging between r = -0.09 (0.07-0.12) at 800-999 cpm and r = -0.14 (0.11-0.16) at 75-99 and 4000-4999 cpm. The strongest favourable associations were from 50 to 800 cpm (r = 0.10-0.12) in men, but from ≥2500 cpm (r = 0.18-0.20) in women; with higher proportions of model explained variance for women (R2 = 7.4% vs. 2.3%). Most of the PA intensity spectrum was beneficially associated with CMR in middle-aged to older adults, even at intensities lower than what has traditionally been considered "sedentary" or "light-intensity" activity. This supports encouragement of PA at almost any intensity in this age-group.
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Affiliation(s)
- Paddy C Dempsey
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK; Physical Activity & Behavioural Epidemiology Laboratories, Baker Heart & Diabetes Institute, Melbourne, Australia; Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UK.
| | - Eivind Aadland
- Faculty of Education, Arts and Sports, Department of Sport, Food and Natural Sciences, Campus Sogndal, Western Norway University of Applied Sciences, Sogndal, Norway
| | - Tessa Strain
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Olav M Kvalheim
- Department of Chemistry, University of Bergen, Bergen, Norway
| | - Kate Westgate
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Tim Lindsay
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Kay-Tee Khaw
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Nicholas J Wareham
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Søren Brage
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Katrien Wijndaele
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
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Werneck AO, Jago R, Kriemler S, Andersen LB, Wedderkopp N, Northstone K, Salmon J, van Sluijs EMF. Association of change in the school travel mode with changes in different physical activity intensities and sedentary time: A International Children's Accelerometry Database Study. Prev Med 2021; 153:106862. [PMID: 34710443 DOI: 10.1016/j.ypmed.2021.106862] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Revised: 09/06/2021] [Accepted: 10/14/2021] [Indexed: 11/28/2022]
Abstract
Our aim was to assess the association between changes in active travel to school and changes in different intensities of physical activity (i.e. moderate - MPA and vigorous - VPA) and time spent sedentary (SED) among adolescents and assess the moderating effect of children's sex, age and weight status. Data from six cohort studies in the International Children's Accelerometry Database were used (4108 adolescents aged 10-13y at baseline, with 1.9±0.7y of follow-up). Participants self-reported travel mode to school at baseline and follow-up. Mutually exclusive categories of change were created using passive (e.g. by car) or active (cycling or walking) forms of transport (active/active, passive/active, active/passive, passive/passive). Multilevel linear regression analyses assessed associations with change in accelerometer-assessed time spent MPA, VPA and SED, adjusting for potential confounders. The moderation of sex, age and weight status was tested though the inclusion of interaction terms in the regression models. Relative to those remaining in active travel (active/active), participants classified as passive/active increased VPA (B: 2.23 min/d; 95%CI: 0.97-3.48), while active/passive (MPA: -5.38min/d; -6.77 to -3.98; VPA: -2.92min/d; -4.06 to -1.78) and passive/passive (MPA: -4.53min/d; -5.55 to -3.50; VPA: -2.84min/d; -3.68 to -2.01) decreased MPA and VPA. There were no associations with SED. An interaction was observed, age group moderated the association with change in VPA: among 12-13y-olds a greater increase in VPA was observed for the passive/active group compared to active/active. Promoting active travel to school can be a strategy to attenuate the decline in physical activity through adolescence.
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Affiliation(s)
- André O Werneck
- Center for Epidemiological Research in Nutrition and Health, Department of Nutrition, School of Public Health, University of São Paulo (USP), São Paulo, Brazil
| | - Russell Jago
- Centre for Exercise, Nutrition and Health Sciences, School for Policy Studies, University of Bristol, Bristol, UK
| | - Susi Kriemler
- Epidemiology, Biostatistics and Public Health Institute, University of Zürich, Switzerland
| | - Lars Bo Andersen
- Department of Sport, Food and Natural Sciences, Faculty of Education, Arts and Sports, Western Norway University of Applied Sciences Campus Sogndal, Sogndal, Norway
| | - Niels Wedderkopp
- Institute for Regional Health Research, University of Southern Denmark, DK-5000 Odense, Denmark; The Orthopedic Department, Hospital of Southwestern Jutland, DK-6700 Esbjerg, Denmark
| | - Kate Northstone
- Department of Population Health Sciences, Bristol Medical School, University of Bristol, UK
| | - Jo Salmon
- Institute for Physical Activity and Nutrition, Deakin University, Geelong, Australia
| | - Esther M F van Sluijs
- MRC Epidemiology Unit and Centre for Diet and Activity Research (CEDAR), University of Cambridge, Cambridge, UK.
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Rajalahti T, Aadland E, Resaland GK, Anderssen SA, Kvalheim OM. Influence of adiposity and physical activity on the cardiometabolic association pattern of lipoprotein subclasses to aerobic fitness in prepubertal children. PLoS One 2021; 16:e0259901. [PMID: 34793516 PMCID: PMC8601570 DOI: 10.1371/journal.pone.0259901] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2021] [Accepted: 10/27/2021] [Indexed: 11/18/2022] Open
Abstract
Aerobic fitness (AF) and lipoprotein subclasses associate to each other and to cardiovascular health. Adiposity and physical activity (PA) influence the association pattern of AF to lipoproteins almost inversely making it difficult to assess their independent and joint influence on the association pattern. This study, including 841 children (50% boys) 10.2 ± 0.3 years old with BMI 18.0 ± 3.0 kg/m2 from rural Western Norway, aimed at examining the association pattern of AF to the lipoprotein subclasses and to estimate the independent and joint influence of PA and adiposity on this pattern. We used multivariate analysis to determine the association pattern of a profile of 26 lipoprotein features to AF with and without adjustment for three measures of adiposity and a high-resolution PA descriptor of 23 intensity intervals derived from accelerometry. For data not adjusted for adiposity or PA, we observed a cardioprotective lipoprotein pattern associating to AF. This pattern withstood adjustment for PA, but the strength of association to AF was reduced by 58%, while adjustment for adiposity weakened the association of AF to the lipoproteins by 85% and with strongest changes in the associations to a cardioprotective high-density lipoprotein subclass pattern. When adjusted for both adiposity and PA, the cardioprotective lipoprotein pattern still associated to AF, but the strength of association was reduced by 90%. Our results imply that the (negative) influence of adiposity on the cardioprotective association pattern of lipoproteins to AF is considerably stronger than the (positive) contribution of PA to this pattern. However, our analysis shows that PA contributes also indirectly through a strong inverse association to adiposity. The trial was registered 7 May, 2014 in clinicaltrials.gov with trial reg. no.: NCT02132494 and the URL is https://clinicaltrials.gov/ct2/results?term=NCT02132494&cntry=NO.
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Affiliation(s)
- Tarja Rajalahti
- Department of Chemistry, University of Bergen, Bergen, Norway
- Førde Health Trust, Førde, Norway
- Red Cross Haugland Rehabilitation Centre, Flekke, Norway
| | - Eivind Aadland
- Department of Sport, Food and Natural Sciences, Western Norway University of Applied Sciences, Sogndal, Norway
| | - Geir Kåre Resaland
- Department of Sport, Food and Natural Sciences, Western Norway University of Applied Sciences, Sogndal, Norway
- Faculty of Education, Center for Physical Active Learning, Arts and Sports, Western Norway University of Applied Sciences, Sogndal, Norway
| | - Sigmund Alfred Anderssen
- Department of Sport, Food and Natural Sciences, Western Norway University of Applied Sciences, Sogndal, Norway
- Department of Sports Medicine, Norwegian School of Sport Sciences, Oslo, Norway
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Fridolfsson J, Buck C, Hunsberger M, Baran J, Lauria F, Molnar D, Moreno LA, Börjesson M, Lissner L, Arvidsson D. High-intensity activity is more strongly associated with metabolic health in children compared to sedentary time: a cross-sectional study of the I.Family cohort. Int J Behav Nutr Phys Act 2021; 18:90. [PMID: 34229708 PMCID: PMC8261968 DOI: 10.1186/s12966-021-01156-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Accepted: 06/16/2021] [Indexed: 02/06/2023] Open
Abstract
Background Physical activity (PA) during childhood is important for preventing future metabolic syndrome (MetS). To examine the relationship between PA and MetS in more detail, accurate measures of PA are needed. Previous studies have only utilized a small part of the information available from accelerometer measured PA. This study investigated the association between measured PA and MetS in children with a new method for data processing and analyses that enable more detailed interpretation of PA intensity level. Methods The association between PA pattern and risk factors related to MetS was investigated in a cross- sectional sample of children (n = 2592, mean age 10.9 years, 49.4% male) participating in the European multicenter I. Family study. The risk factors examined include body mass index, blood pressure, high-density lipoprotein cholesterol, insulin resistance and a combined risk factor score (MetS score). PA was measured by triaxial accelerometers and raw data was processed using the 10 Hz frequency extended method (FEM). The PA output was divided into an intensity spectrum and the association with MetS risk factors was analyzed by partial least squares regression. Results PA patterns differed between the European countries investigated, with Swedish children being most active and Italian children least active. Moderate intensity physical activity was associated with lower insulin resistance (R2 = 2.8%), while vigorous intensity physical activity was associated with lower body mass index (R2 = 3.6%), MetS score (R2 = 3.1%) and higher high-density lipoprotein cholesterol (R2 = 2.3%). PA of all intensities was associated with lower systolic- and diastolic blood pressure, although the associations were weaker than for the other risk factors (R2 = 1.5% and R2 = 1.4%). However, the multivariate analysis implies that the entire PA pattern must be considered. The main difference in PA was observed between normal weight and overweight children. Conclusions The present study suggests a greater importance of more PA corresponding to an intensity of at least brisk walking with inclusion of high-intense exercise, rather than a limited time spent sedentary, in the association to metabolic health in children. The methods of data processing and statistical analysis enabled accurate analysis and interpretation of the health benefits of high intensity PA that have not been shown previously. Supplementary Information The online version contains supplementary material available at 10.1186/s12966-021-01156-1.
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Affiliation(s)
- Jonatan Fridolfsson
- Center for Health and Performance (CHP), Department of Food and Nutrition and Sport Science, Faculty of Education, University of Gothenburg, Box 300, SE-405 30, Gothenburg, Sweden.
| | - Christoph Buck
- Department of Biometry and Data Management, Leibniz Institute for Prevention Research and epidemiology - BIPS, Bremen, Germany
| | - Monica Hunsberger
- School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Joanna Baran
- Institute of Health Sciences, Medical College, University of Rzeszów, Rzeszów, Poland
| | - Fabio Lauria
- Institute of Food Sciences, National Research Council, ISA-CNR, Avellino, Italy
| | - Denes Molnar
- Department of Pediatrics, Medical School, University of Pécs, Pécs, Hungary
| | - Luis A Moreno
- GENUD (Growth, Exercise, Nutrition and Development) research group, Universidad de Zaragoza, Instituto Agroalimentario de Aragón (IA2), Instituto de Investigación Sanitaria de Aragón (IIS Aragón), Zaragoza, Spain.,Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Mats Börjesson
- Center for Health and Performance (CHP), Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.,Sahlgrenska University Hospital/Östra, Region of Western Sweden, Gothenburg, Sweden
| | - Lauren Lissner
- School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Daniel Arvidsson
- Center for Health and Performance (CHP), Department of Food and Nutrition and Sport Science, Faculty of Education, University of Gothenburg, Box 300, SE-405 30, Gothenburg, Sweden
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Relationship of Physical Activity and Sedentary Time with Metabolic Health in Children and Adolescents Measured by Accelerometer: A Narrative Review. Healthcare (Basel) 2021; 9:healthcare9060709. [PMID: 34200736 PMCID: PMC8230405 DOI: 10.3390/healthcare9060709] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Revised: 06/05/2021] [Accepted: 06/07/2021] [Indexed: 11/22/2022] Open
Abstract
The purpose of this study was to summarize the associations of physical activity (PA) and sedentary time (SED) with metabolic health and examine the effects of time reallocation on metabolic health in adolescents using accelerometer data. A literature search was conducted using PubMed, ScienceDirect, Web of Science, Cochran Library, and Google Scholar, and 27 articles were reviewed. Recent research generally confirms the associations of PA and SED with metabolic health. High PA levels and low SED levels had a positive relationship with metabolic health. Moreover, reallocating 10 min of daily SED to PA was associated with better metabolic health indicators. These results were stronger for moderate-to-vigorous physical activity than for light intensity PA. Thus, efforts to convert SED into PA of at least moderate intensity appear to be an effective strategy to prevent metabolic disease development in children and adolescents. However, some of the associations between PA and metabolic health indicators were inconsistent, depending on age, obesity degree, and PA intensity. Additionally, various accelerometer data collection and processing criteria impact the interpretation of the results. Therefore, consistent accelerometer data collection and analysis methods are needed in future studies. Further, intervention studies are required to verify the causality and effectiveness of the isotemporal substitution model.
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