19 results on '"Altenburg, Teatske"'
Search Results
2. Stabilization of the obesity epidemic and increasing thinness in children in Caribbean Bonaire
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Kist-van Holthe, Joana, Blom, Tirza, Melchers, Laura, Janga-Jansen, Alcira, van Kanten, Tahirih, Luinstra-Passchier, Marian, Altenburg, Teatske, HiraSing, Remy, and Chinapaw, Mai
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- 2018
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3. How to Evaluate the Effectiveness of Health Promotion Actions Developed Through Youth-Centered Participatory Action Research.
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Anselma, Manou, Altenburg, Teatske M., Twisk, Jos W. R., Wang, dr. Xinhui, and Chinapaw, Mai J. M.
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Most actions targeting children's health behaviors have limited involvement of children in the development, potentially contributing to disappointing effectiveness. Therefore, in the 3-year "Kids in Action" study, 9- to '2-year-old children from a lower-socioeconomic neighborhood were involved as coresearchers in the development, implementation, and evaluation of actions targeting health behaviors. The current study describes the controlled trial that evaluated the effects on children's energy balance-related behaviors, physical fitness, and self-rated health, as well as experienced challenges and recommendations for future evaluations. Primary school children from the three highest grades of four intervention and four control schools were eligible for participation. Outcome measures assessed at baseline, and at '- and 2-year follow-up were as follows: motor fitness by the MOPER test (N = 656, N = 485, N = 608, respectively), physical activity and sedentary behavior by accelerometry (N = 223, N = '49, N = '64, respectively), and consumption of sugar sweetened beverages and snacks and self-rated health by a questionnaire (N = 322, N = 28', N = 275, respectively). Mixed-model analyses were performed adjusted for clustering within schools and relevant confounders. Significant beneficial intervention effects were found on self-reported consumption of energy/sports drinks at T2 versus T0, and on total time and >5-minute bouts of moderate-to-vigorous physical activity at T' versus T0. Significant adverse effects were found on "speed and agility" and "coordination and upper-limb speed." No other significant effects were found. The inconsistent intervention effects may be explained by the dynamic cohort and suboptimal outcome measures. We advise future studies with a similar approach to apply alternative evaluation designs, such as the delayed baseline design. [ABSTRACT FROM AUTHOR]
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- 2023
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4. Systematic review of accelerometer-based methods for 24-h physical behavior assessment in young children (0–5 years old).
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Lettink, Annelinde, Altenburg, Teatske M., Arts, Jelle, van Hees, Vincent T., and Chinapaw, Mai J. M.
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ONLINE information services , *SEDENTARY lifestyles , *SYSTEMATIC reviews , *ACCELEROMETERS , *CHILD behavior , *PHYSICAL activity , *SLEEP , *INFANT psychology , *MEDLINE , *CHILDREN - Abstract
Background: Accurate accelerometer-based methods are required for assessment of 24-h physical behavior in young children. We aimed to summarize evidence on measurement properties of accelerometer-based methods for assessing 24-h physical behavior in young children. Methods: We searched PubMed (MEDLINE) up to June 2021 for studies evaluating reliability or validity of accelerometer-based methods for assessing physical activity (PA), sedentary behavior (SB), or sleep in 0–5-year-olds. Studies using a subjective comparison measure or an accelerometer-based device that did not directly output time series data were excluded. We developed a Checklist for Assessing the Methodological Quality of studies using Accelerometer-based Methods (CAMQAM) inspired by COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN). Results: Sixty-two studies were included, examining conventional cut-point-based methods or multi-parameter methods. For infants (0—12 months), several multi-parameter methods proved valid for classifying SB and PA. From three months of age, methods were valid for identifying sleep. In toddlers (1—3 years), cut-points appeared valid for distinguishing SB and light PA (LPA) from moderate-to-vigorous PA (MVPA). One multi-parameter method distinguished toddler specific SB. For sleep, no studies were found in toddlers. In preschoolers (3—5 years), valid hip and wrist cut-points for assessing SB, LPA, MVPA, and wrist cut-points for sleep were identified. Several multi-parameter methods proved valid for identifying SB, LPA, and MVPA, and sleep. Despite promising results of multi-parameter methods, few models were open-source. While most studies used a single device or axis to measure physical behavior, more promising results were found when combining data derived from different sensor placements or multiple axes. Conclusions: Up to age three, valid cut-points to assess 24-h physical behavior were lacking, while multi-parameter methods proved valid for distinguishing some waking behaviors. For preschoolers, valid cut-points and algorithms were identified for all physical behaviors. Overall, we recommend more high-quality studies evaluating 24-h accelerometer data from multiple sensor placements and axes for physical behavior assessment. Standardized protocols focusing on including well-defined physical behaviors in different settings representative for children's developmental stage are required. Using our CAMQAM checklist may further improve methodological study quality. PROSPERO Registration number: CRD42020184751. [ABSTRACT FROM AUTHOR]
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- 2022
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5. Cross-validation of cut-points in preschool children using different accelerometer placements and data axes.
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Altenburg, Teatske M., de Vries, Lotte, op den Buijsch, Rianne, Eyre, Emma, Dobell, Alexandra, Duncan, Michael, and Chinapaw, Mai J.M.
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SEDENTARY lifestyles , *ACCELEROMETERS , *WEARABLE technology , *PHYSICAL activity , *ACCELEROMETRY , *HEALTH , *EXERCISE , *RECEIVER operating characteristic curves , *CHILDREN - Abstract
The present study cross-validated various cut-points to assess physical activity and sedentary behaviour in preschoolers, using hip- and wrist-worn accelerometers and both vertical axis and vector magnitude data. Secondly, we examined the influence of epoch length on time estimates of physical activity and sedentary behaviour. Sixty-four preschoolers (34 girls) wore two accelerometers, on their right hip and dominant wrist, during 1 hour of free play. Preschoolers' activities were observed by two trained researchers. Area under the curve (AUC) was calculated for the receiving operating characteristic (ROC) curves as a measure of precision. AUC ranges were 0.603–0.723 for sedentary behaviour, 0.472–0.545 for light physical activity and 0.503–0.661 for moderate-to-vigorous physical activity (MVPA), indicating poor to fair precision. Percentage of time classified as sedentary behaviour, light or MVPA according to observation and accelerometer data varied largely between cut-points, accelerometer placements and axes. The influence of epoch length on time estimates was minimal across cut-points, except for one hip-based vector magnitude cut-point. Across all accelerometer placements and data axes, no set of cut-points demonstrated adequate precision for sedentary behaviour, light physical activity and MVPA. The highly variable and omnidirectional activity pattern of preschoolers may explain the lack of adequate cut-points. [ABSTRACT FROM AUTHOR]
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- 2022
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6. A systematic review of proxy-report questionnaires assessing physical activity, sedentary behavior and/or sleep in young children (aged 0–5 years).
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Arts, Jelle, Gubbels, Jessica S., Verhoeff, Arnoud P., Chinapaw, Mai. J. M., Lettink, Annelinde, and Altenburg, Teatske M.
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SEDENTARY lifestyles ,ONLINE information services ,RESEARCH evaluation ,MEDICAL information storage & retrieval systems ,STATISTICAL reliability ,RESEARCH methodology evaluation ,SYSTEMATIC reviews ,SPORTS ,PHYSICAL activity ,SLEEP ,SCREEN time ,MULTITRAIT multimethod techniques ,MATHEMATICAL variables ,QUESTIONNAIRES ,BODY movement ,HEALTH behavior ,MEDLINE ,INFORMATION storage & retrieval systems ,EVALUATION ,CHILDREN - Abstract
Background: Accurate proxy-report questionnaires, adapted to the child's developmental stage, are required to monitor 24-h movement behaviors in young children, especially for large samples and low-resource settings. Objectives: This review aimed to summarize available studies evaluating measurement properties of proxy-report questionnaires assessing physical activity, sedentary behavior and/or sleep in children aged 0–5 years. Methods: Systematic literature searches were carried out in the PubMed, Embase and SPORTDiscus databases, up to January 2021. For physical activity and sedentary behavior questionnaires this is a review update, whereas for sleep questionnaires we included all relevant studies published up to now. Studies had to evaluate at least one of the measurement properties of a proxy-report questionnaire assessing at least duration and/or frequency of physical activity, sedentary behavior and/or sleep in 0- to 5-year-old children. The COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) guideline was used to evaluate the quality of evidence. Results: Thirty-three studies were included, examining a total of 37 questionnaires. Ten questionnaires were designed for infants, two for toddlers, 11 for preschoolers, and 14 for a broader age range targeting multiple of these age groups. Twenty questionnaires assessed constructs of sleep, four assessed constructs of physical activity, two assessed screen behavior, five assessed constructs of both physical activity and sedentary behavior, and six assessed constructs of all 24-h movement behaviors. Content validity was evaluated for six questionnaires, structural validity for two, internal consistency for three, test-retest reliability for 16, measurement error for one, criterion validity for one, and construct validity for 26 questionnaires. None of the questionnaires were considered sufficiently valid and/or reliable for assessing one or more movement behaviors in 0- to 5-year-old children, and the quality of evidence was mostly low or very low. Conclusions: Valid and/or reliable questionnaires assessing 24-h movement behaviors in 0- to 5-year-olds are lacking. High-quality studies are therefore required, to develop proxy-report questionnaires and evaluate their measurement properties. PROSPERO registration number: CRD42020169268. [ABSTRACT FROM AUTHOR]
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- 2022
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7. Daily Variations in Weather and the Relationship With Physical Activity and Sedentary Time in European 10- to 12-Year-Olds: The ENERGY-Project.
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Yıldırım, Mine, Schoeni, Anna, Singh, Amika S., Altenburg, Teatske M., Brug, Johannes, De Bourdeaudhuij, Ilse, Kovacs, Eva, Bringolf-Isler, Bettina, Manios, Yannis, and Chinapaw, Mai J. M.
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RAINFALL ,TEMPERATURE ,PHYSICAL activity ,SEDENTARY behavior ,SITTING position ,MULTILEVEL models ,DATA analysis ,CHILDREN - Abstract
Background: The aim of the study was to examine the association of daily variations in rainfall and temperature with sedentary time (ST) and physical activity (PA) in European children. Methods: Children were included from 5 countries (Belgium, Greece, Hungary, the Netherlands, Switzerland) as part of the ENERGY-project. We used cross-sectional data from 722 children aged 10-12 years (47% boys). ST and PA were measured by accelerometers for 6 consecutive days, including weekend days. Weather data were collected from online national weather reports. Multilevel regression models were used for data analyses. Results: Maximum temperature was positively associated with light PA (β = 3.1 min/day; 95% CI = 2.4-3.8), moderate-to-vigorous PA (β = 0.6 min/day; 95% CI = 0.4-0.8), and average PA [β = 4.1 counts per minute (cpm); 95% CI = 1.6-6.5, quadratic relationship]. Rainfall was inversely and quadratically associated with light PA (β = -1.3 min/day; 95% CI = -1.9 to -0.6), moderate-to-vigorous PA (β = -0.6 min/day; 95% CI = -0.8 to -0.3), and average PA (β = -1.6 cpm; 95% CI = -2.2 to -0.9). Maximum temperature was not significantly associated with ST (β = -0.2 min/day; 95% CI = -1.0 to 0.6), while rainfall was positively associated with ST (β = 0.9 min/day; 95% CI = 0.6-1.3). Conclusion: The current study shows that temperature and rainfall are significantly associated with PA and ST in 10- to 12-year-old European children. [ABSTRACT FROM AUTHOR]
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- 2014
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8. Tracking of total sedentary time and sedentary patterns in youth: a pooled analysis using the International Children's Accelerometry Database (ICAD).
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van Ekris, Evi, Wijndaele, Katrien, Altenburg, Teatske M., Atkin, Andrew J., Twisk, Jos, Andersen, Lars B., Janz, Kathleen F., Froberg, Karsten, Northstone, Kate, Page, Angie S., Sardinha, Luis B., van Sluijs, Esther M. F., Chinapaw, Mai, On behalf of the International Children's Accelerometry Database (ICAD) Collaborators, Andersen, L. B., Anderssen, S., Atkin, A. J., Cardon, G., Davey, R., and Ekelund, U.
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CHILD behavior ,LONGITUDINAL method ,REGRESSION analysis ,TEENAGERS' conduct of life ,SEDENTARY lifestyles ,SCREEN time - Abstract
Background: To gain more understanding of the potential health effects of sedentary time, knowledge is required about the accumulation and longitudinal development of young people's sedentary time. This study examined tracking of young peoples' total and prolonged sedentary time as well as their day-to-day variation using the International Children's Accelerometry Database. Methods: Longitudinal accelerometer data of 5991 children (aged 4-17y) was used from eight studies in five countries. Children were included if they provided valid (≥8 h/day) accelerometer data on ≥4 days, including ≥1 weekend day, at both baseline and follow-up (average follow-up: 2.7y; range 0.7–8.2). Tracking of total and prolonged (i.e. ≥10-min bouts) sedentary time was examined using multilevel modelling to adjust for clustering of observations, with baseline levels of sedentary time as predictor and follow-up levels as outcome. Standardized regression coefficients were interpreted as tracking coefficients (low: < 0.3; moderate: 0.3–0.6; high: > 0.6). Results: Average total sedentary time at study level ranged from 246 to 387 min/day at baseline and increased annually by 21.4 min/day (95% confidence interval [19.6–23.0]) on average. This increase consisted almost entirely of prolonged sedentary time (20.9 min/day [19.2–22.7]). Total (standardized regression coefficient (B) = 0.48 [0.45–0.50]) and prolonged sedentary time (B = 0.43 [0.41–0.45]) tracked moderately. Tracking of day-to-day variation in total (B = 0.04 [0.02–0.07]) and prolonged (B = 0.07 [0.04–0.09]) sedentary time was low. Conclusion: Young people with high levels of sedentary time are likely to remain among the people with highest sedentary time as they grow older. Day-to-day variation in total and prolonged sedentary time, however, was rather variable over time. [ABSTRACT FROM AUTHOR]
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- 2020
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9. Co-creating a 24-hour movement behavior tool together with 9–12-year-old children using mixed-methods: MyDailyMoves.
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Hidding, Lisan M., Chinapaw, Mai J. M., Belmon, Laura S., and Altenburg, Teatske M.
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CHILD behavior ,CHILDREN'S health ,HEALTH behavior ,HOBBIES ,PHOTOGRAPHY ,QUESTIONNAIRES ,SLEEP ,SPORTS ,BODY movement ,SEDENTARY lifestyles ,PHYSICAL activity ,SCREEN time ,CHILDREN - Abstract
Background: All 24-h movement behaviors, i.e. physical activity, sedentary behavior and sleep, are important for optimal health in children. Currently, no tools exist that include all 24-h behaviors and have been proven to be both reliable and valid. Potential reasons for the inadequate validity and reliability of existing questionnaires are the lack of focus on the content validity and lack of involvement of children in the development. Therefore, the aim of this study was to co-create a 24-h movement behavior tool together with 9–12-year-old children. Methods: Concept mapping and photovoice meetings were held to identify children's physical activity behaviors. During concept mapping meetings with four groups of children (n = 40), children generated an extensive list of physical activities they engaged in, sorted the activities in categories and rated the frequency and perceived intensity of these activities. Using photovoice, three groups of children (n = 24) photographed their physical activities during one weekday and one weekend day, named the photographs, and placed them on a timeline. Furthermore, researchers obtained information on relevant items regarding sleep and sedentary behavior by screening existing questionnaires. Thereafter, we developed the first version of MyDailyMoves. Subsequently, we examined the content validity of the tool together with three groups of children (n = 22) and one group of researchers (n = 7) using focus group meetings. Results: MyDailyMoves has a timeline format, onto which children add the activities they performed the previous day. Based on the concept mapping and photovoice studies, eight physical activity categories were included: playing inside, playing outside, sports, hobbies, chores, personal care, transport, and others. Sleep questions and two more sedentary categories (schoolwork and screen time) were added to MyDailyMoves to define and complete the timeline. The content validity study showed that all items in the tool were relevant. However, children mentioned that the activity category 'eating' was missing and the understandability of how to use the tool should be improved by adding an explanatory video. Both suggestions were adopted in the second version. Conclusion: Including the children's perceptions throughout the tool development process resulted in a comprehensive and practical tool which is easy for children to use. [ABSTRACT FROM AUTHOR]
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- 2020
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10. Examining accelerometer validity for estimating physical activity in pre‐schoolers during free‐living activity.
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Dobell, Alexandra P., Eyre, Emma L. J., Tallis, Jason, Chinapaw, Marijke J. M., Altenburg, Teatske M., and Duncan, Michael J.
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ACCELEROMETERS ,ACTIGRAPHY ,HIP joint ,PLAY ,WRIST ,WEARABLE technology ,RECEIVER operating characteristic curves ,EXERCISE intensity ,MEDICAL equipment reliability ,SEDENTARY lifestyles ,PHYSICAL activity ,DESCRIPTIVE statistics ,CHILDREN - Abstract
The present study examined the efficacy of accelerometers for the assessment of free play physical activity (PA) in pre–school‐aged children with consideration of epoch length and wear location. Following ethics approval, parental informed consent, and child assent, 66 pre‐schoolers aged 3‐4 years (30 females and 36 males) wore an accelerometer (ActiGraph GT3X; sampling at 100 Hz) on their non‐dominant wrist and their right hip during 1 hour of free play. Concurrently, direct observation, using the OSRAC‐P, was used to determine sedentary behavior (SB), light (LPA), or moderate‐to‐vigorous (MVPA) intensity PA. For the ActiGraph, vertical axis counts and summed vector magnitude (VM) for hip, and VM for wrist, were downloaded using 5‐, 10‐, 15‐, and 30‐second epoch lengths. Accelerometer counts were averaged over each 30 seconds to match the observation periods. Receiver operating curve analysis was used to evaluate the ability of the ActiGraph to predict SB, LPA, and MVPA. SB and MVPA obtained from wrist‐ and hip‐worn accelerometers demonstrated fair agreement with direct observation (AUC => 0.7). LPA determined by accelerometer had poor agreement with observed LPA, for both the hip and wrist placement (AUC = 0.53‐0.56), with weak levels of specificity (0.34‐0.43), although sensitivity was fair (0.74‐0.84). This study is the first to examine accelerometer validity, considering wear location and epoch in pre‐schoolers during free play, and suggests that the ActiGraph is a fair measure for SB and MVPA in pre‐school children. Neither placement performed predominantly better irrespective of epochs or used count data (vertical axis, VM). [ABSTRACT FROM AUTHOR]
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- 2019
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11. An Updated Systematic Review of Childhood Physical Activity Questionnaires.
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Hidding, Lisan M., Chinapaw, Mai. J. M., van Poppel, Mireille N. M., Mokkink, Lidwine B., and Altenburg, Teatske M.
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QUESTIONNAIRES ,ACCELEROMETERS ,INFORMATION storage & retrieval systems ,MEDICAL information storage & retrieval systems ,MEDLINE ,ONLINE information services ,SPORTS ,SYSTEMATIC reviews ,BODY mass index ,PHYSICAL activity ,CHILDREN - Abstract
Background and Objective: This review is an update of a previous review published in 2010, and aims to summarize the available studies on the measurement properties of physical activity questionnaires for young people under the age of 18 years.Methods: Systematic literature searches were carried out using the online PubMed, EMBASE, and SPORTDiscus databases up to 2018. Articles had to evaluate at least one of the measurement properties of a questionnaire measuring at least the duration or frequency of children’s physical activity, and be published in the English language. The standardized COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) checklist was used for the quality assessment of the studies.Results: This review yielded 87 articles on 89 different questionnaires. Within the 87 articles, 162 studies were conducted: 103 studies assessed construct validity, 50 assessed test-retest reliability, and nine assessed measurement error. Of these studies, 38% were of poor methodological quality and 49% of fair methodological quality. A questionnaire with acceptable validity was found only for adolescents, i.e., the Greek version of the 3-Day Physical Activity Record. Questionnaires with acceptable test-retest reliability were found in all age categories, i.e., preschoolers, children, and adolescents.Conclusion: Unfortunately, no questionnaires were identified with conclusive evidence for both acceptable validity and reliability, partly due to the low methodological quality of the studies. This evidence is urgently needed, as current research and practice are using physical activity questionnaires of unknown validity and reliability. Therefore, recommendations for high-quality studies on measurement properties of physical activity questionnaires were formulated in the discussion.PROSPERO Registration Number: CRD42016038695. [ABSTRACT FROM AUTHOR]
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- 2018
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12. Patterns of objectively measured sedentary time in 10- to 12-year-old Belgian children: an observational study within the ENERGY-project.
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Verloigne, Maïté, Ridgers, Nicola D., Chinapaw, Mai, Altenburg, Teatske M., Bere, Elling, Van Lippevelde, Wendy, Cardon, Greet, Brug, Johannes, and De Bourdeaudhuij, Ilse
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ACCELEROMETERS ,SCHOOL children ,SEDENTARY behavior ,CARDIOVASCULAR diseases ,TYPE 2 diabetes ,CHILD behavior ,EXERCISE ,SCHOOLS ,TIME ,ACCELEROMETRY ,SEDENTARY lifestyles ,STATISTICAL models - Abstract
Background: This study examined the frequency of and differences in sedentary bouts of different durations and the total time spent in sedentary bouts on a weekday, a weekend day, during school hours, during after-school hours and in the evening period in a sample of 10- to 12-year-old Belgian children.Methods: Accelerometer data were collected as part of the ENERGY-project in Belgium (n = 577, 10.9 ± 0.7 years, 53% girls) in 2011. Differences in total sedentary time, sedentary bouts of 2-5, 5-10, 10-20, 20-30 and ≥30 min and total time accumulated in those bouts were examined on a weekday, a weekend day, during school hours, during after-school hours and in the evening period, using multilevel analyses in MLwiN 2.22.Results: More than 60% of the participants' waking time was spent sedentary. Children typically engaged in short sedentary bouts of 2-5 and 5-10 min, which contributed almost 50% towards their total daily sedentary time. Although the differences were very small, children engaged in significantly fewer sedentary bouts of nearly all durations during after-school hours compared to during school hours and in the evening period. Children also engaged in significantly fewer sedentary bouts of 5-10, 10-20, and 20-30 min per hour on a weekend day than on a weekday.Conclusions: Although primary school children spend more than 60% of their waking time sedentary, they generally engaged in short sedentary bouts. Children's sedentary bouts were slightly longer on weekdays, particularly during school hours and in the evening period, although the differences were very small. These results suggest that in this age group, interventions focusing on reducing total sedentary time rather than interrupting prolonged sedentary time are needed. [ABSTRACT FROM AUTHOR]- Published
- 2017
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13. Systematic Review of Childhood Sedentary Behavior Questionnaires: What do We Know and What is Next?
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Hidding, Lisan, Altenburg, Teatske, Mokkink, Lidwine, Terwee, Caroline, and Chinapaw, Mai
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CHILDREN'S health , *EXPERIMENTAL design , *INFORMATION storage & retrieval systems , *MEDICAL information storage & retrieval systems , *MEDLINE , *ONLINE information services , *QUESTIONNAIRES , *SELF-evaluation , *SPORTS , *ADOLESCENT health , *SYSTEMATIC reviews , *EVIDENCE-based medicine , *MEASUREMENT errors , *STATISTICAL reliability , *MULTITRAIT multimethod techniques , *RESEARCH methodology evaluation , *SEDENTARY lifestyles , *DESCRIPTIVE statistics , *EVALUATION , *CHILDREN ,RESEARCH evaluation - Abstract
Background: Accurate measurement of child sedentary behavior is necessary for monitoring trends, examining health effects, and evaluating the effectiveness of interventions. Objectives: We therefore aimed to summarize studies examining the measurement properties of self-report or proxy-report sedentary behavior questionnaires for children and adolescents under the age of 18 years. Additionally, we provided an overview of the characteristics of the evaluated questionnaires. Methods: We performed systematic literature searches in the EMBASE, PubMed, and SPORTDiscus electronic databases. Studies had to report on at least one measurement property of a questionnaire assessing sedentary behavior. Questionnaire data were extracted using a standardized checklist, i.e. the Quality Assessment of Physical Activity Questionnaire (QAPAQ) checklist, and the methodological quality of the included studies was rated using a standardized tool, i.e. the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) checklist. Results: Forty-six studies on 46 questionnaires met our inclusion criteria, of which 33 examined test-retest reliability, nine examined measurement error, two examined internal consistency, 22 examined construct validity, eight examined content validity, and two examined structural validity. The majority of the included studies were of fair or poor methodological quality. Of the studies with at least a fair methodological quality, six scored positive on test-retest reliability, and two scored positive on construct validity. Conclusion: None of the questionnaires included in this review were considered as both valid and reliable. High-quality studies on the most promising questionnaires are required, with more attention to the content validity of the questionnaires. PROSPERO registration number: CRD42016035963. [ABSTRACT FROM AUTHOR]
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- 2017
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14. Effectiveness of intervention strategies exclusively targeting reductions in children's sedentary time: a systematic review of the literature.
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Altenburg, Teatske M., Holthe, Joana Kist-van, and Chinapaw, Mai J. M.
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MEDICAL databases , *INFORMATION storage & retrieval systems , *MEDICAL information storage & retrieval systems , *LEISURE , *EVALUATION of medical care , *MEDLINE , *ONLINE information services , *RESEARCH funding , *TELEVISION , *VIDEO games , *SYSTEMATIC reviews , *CONTENT mining , *SEDENTARY lifestyles , *PHYSICAL activity , *CHILDREN - Abstract
An increasing number of interventions targeting sedentary behaviour in children have emerged in recent years. Recently published reviews included sedentary behaviour and physical activity interventions. This review critically summarizes evidence on the effectiveness of intervention strategies that exclusively targeted reducing sedentary time in children and adolescents. We performed a systematic literature search in Pubmed, Embase and the Cochrane Library through November 2015. Two independent reviewers selected eligible studies, extracted relevant data and rated the methodological quality using the assessment tool for quantitative studies. We included 21 intervention studies, of which 8 studies scored moderate on methodological quality and 13 studies scored weak. Four out of eight moderate quality studies reported significant beneficial intervention effects. Although descriptions of intervention strategies were not always clearly reported, we identified encouragement of a TV turnoff week and implementing standing desks in classrooms as promising strategies. Due to a lack of high quality studies and inconsistent findings, we found no convincing evidence for the effectiveness of existing interventions targeting solely sedentary behaviour. We recommend that future studies apply mediation analyses to explore which strategies are most effective. Furthermore, to increase the effectiveness of interventions, knowledge of children's motives to engage in sedentary behavior is required, as well as their opinion on potentially effective intervention strategies. [ABSTRACT FROM AUTHOR]
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- 2016
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15. Screen time and cardiometabolic function in Dutch 5-6 year olds: cross-sectional analysis of the ABCD-study.
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Chinapaw, Mai J. M., Altenburg, Teatske M., van Eijsden, Manon, Gemke, Reinoud J. B. J., and Vrijkotte, Tanja G. M.
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HEART metabolism disorders , *WAIST circumference , *REGRESSION analysis , *BODY mass index , *BIOMARKERS - Abstract
Background: Evidence on the association between different screen behaviours and cardiometabolic biomarkers in children is limited. We examined the independent relationship of TV time and PC time with cardiometabolic biomarkers in Dutch 5-6 year old children. Methods: Cross-sectional analyses were conducted December 2012-March 2013 using data from a multi-ethnic cohort (the ABCD study, n = 1,961). TV and PC time and physical activity were assessed by parent-report. Body weight, height, waist circumference and blood pressure were measured using a standard protocol. Fasting capillary blood samples were collected. A cardiometabolic function score was computed as the mean of the inverted standardised values of waist circumference, mean of systolic and diastolic blood pressure, glucose, HDLC (not inverted), and triglycerides. Results: Mean TV time was 1.2 (±0.8) hr/day and mean PC time was 0.2 (±0.4) hr/day. After adjustment for birth weight, height, maternal education, PC time, and physical activity, excessive TV time (>2 hrs/day) was adversely associated with waist circumference (b = 0.39, 95% CI: 0.004;0.78) while PC time was beneficially associated with HDLC levels (b = 0.04, 95% CI: 0.001;0.08). We found no additional significant associations of TV time, or PC time with any of the cardiometabolic biomarkers. Conclusions: We found no convincing evidence for an association between TV or PC time and cardiometabolic function in apparently healthy 5-6 yr olds. [ABSTRACT FROM AUTHOR]
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- 2014
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16. Sedentary behaviour and health in children - Evaluating the evidence.
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Chinapaw, Mai, Altenburg, Teatske, and Brug, Johannes
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CHILD psychology , *CHILDREN'S health , *HEART metabolism , *MEDICAL databases , *BODY composition - Abstract
his commentary critically discusses the current evidence on the association between sedentary behaviour and cardiometabolic health in children as well as the methodologically issues that need to be addressed in order to advance this field. We conclude with recommendations for future research. [ABSTRACT FROM AUTHOR]
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- 2015
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17. MY DAILY MOVES Determinants and measurement of movement behaviors from the child-perspective
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Hidding, Lisan Mariët, Chin A Paw, J.M.M., Altenburg, Taetske Maria, Chinapaw, Mai, Altenburg, Teatske, APH - Health Behaviors & Chronic Diseases, and Public and occupational health
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Fysieke activiteit ,Measurement ,Physical activity ,Co-creation ,Photovoice ,Meetinstrumenten ,Adolescents ,Co-creatie ,Kinderen ,Determinanten ,Sedentary behavior ,Adolescenten ,Sedentair gedrag ,Concept mapping ,Slaap ,Sleep ,Children ,Determinants - Abstract
Background The majority of children around the world do not meet the physical activity guidelines, spend too much time in sedentary behavior, and children’s sleep duration has declined over the past century. Importantly, sufficient physical activity and sleep are associated with many health benefits. Accurate measurement instruments are necessary to measure these behaviors, e.g. questionnaires, as they can provide additional information on the context of children’s behavior, e.g. what type of activities children engage in. Insight into the levels and contextual information of children’s 24-hour movement behaviors is important for the development of interventions targeting these behaviors, e.g. the types of activities that should be stimulated and locations that facilitate or limit physical activity. Moreover, knowledge on the most important determinants of these behaviors is also necessary for the development of interventions. Especially the perspectives of the key population, the children themselves, can provide valuable insights as they are the experts of their own behavior. Aims 1) Co-create and evaluate a 24-hour movement behavior tool, including physical activity, sedentary behavior, and sleep, for and together with 9-12-year- old children (MyDailyMoves) 2) Examine potential determinants of children’s sedentary behavior from the perspectives of children and parents and to examine potential determinants of the activity-friendliness of the environment from the adolescent perspective Co-creation of MyDailyMoves The co-creation process of MyDailyMoves started with summarizing the measurement properties of existing questionnaires measuring sedentary behavior (chapter 2) and physical activity (chapter 3) in children in two systematic reviews. Based on the findings of these reviews, the format of MyDailyMoves was established, i.e. the Greek version of the 3DPARecord was the only physical activity questionnaire with acceptable validity, therefore we used a similar format for MyDailyMoves. The format included a timeline and different time segments, which might help the children to more accurately report their activities of the previous day. The next steps of the co-creation (chapter 4) included photovoice and concept mapping sessions in which children indicated important physical activity categories: playing inside, playing outside, sports, hobbies, chores, personal care, transport, and others. Based on the literature, two additional sedentary behavior categories were identified, i.e. schoolwork and screen time, and five domains for sleep, i.e. sleep duration, efficiency, timing, quality, and daytime sleepiness. All physical activity and sedentary behavior categories were added to MyDailyMoves as activities that could be placed on the timeline. Subsequently, questions covering above-mentioned sleep domains were added to MyDailyMoves. The content validity of the first version of MyDailyMoves was examined in separate focus groups with children and researchers (chapter 4). Based on the focus groups the activity category ‘eating’ was added, and an explanatory video was created. Unfortunately, due to the COVID-19 pandemic the construct validity and test-retest reliability study of MyDailyMoves was postponed and is therefore not part of this thesis. Potential determinants of children’s movement behaviors Adolescent-perceived determinants of an activity-friendly environment were examined by conducting concept mapping meetings with secondary school students (chapter 5), aged 13-17 years old. Across all groups, 23 unique potential determinants of an activity-friendly environment were identified, which could be categorized in four domains: 1) physical characteristics, 2) social characteristics, 3) economic characteristics, and 4) motivational characteristics. Potential determinants of children’s sedentary behavior were examined by conducting concept mapping meetings with 11–13-year-old children and parents (chapter 6). Children identified eight to ten potential determinants, and parents identified six to seven potential determinants. Particularly determinants in the physical and the social/cultural environment were rated as most important both by children and parents, e.g. ‘Sitting because it is the norm (I have to)’ and ‘Sitting because I can work/play better that way’.
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- 2021
18. Tracking of total sedentary time and sedentary patterns in youth: a pooled analysis using the International Children's Accelerometry Database (ICAD)
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Esther M. F. van Sluijs, Kate Northstone, Katrien Wijndaele, Jos W. R. Twisk, Evi van Ekris, Mai J. M. Chinapaw, Karsten Froberg, Lars Bo Andersen, Kathleen F. Janz, Andrew J. Atkin, Teatske M. Altenburg, Angie S Page, Luís B. Sardinha, Public and occupational health, APH - Health Behaviors & Chronic Diseases, Epidemiology and Data Science, Amsterdam Reproduction & Development (AR&D), APH - Methodology, Altenburg, Teatske M [0000-0002-8764-5631], and Apollo - University of Cambridge Repository
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Male ,Adolescent ,Databases, Factual ,Medicine (miscellaneous) ,Physical Therapy, Sports Therapy and Rehabilitation ,Clinical nutrition ,Fitness Trackers ,computer.software_genre ,Adolescents ,Linear regression ,Accelerometry ,Objective assessment ,Medicine ,Humans ,Child ,lcsh:RC620-627 ,Children ,Sedentary time ,Nutrition and Dietetics ,Database ,business.industry ,lcsh:Public aspects of medicine ,Multilevel modelling ,Research ,Tracking ,lcsh:RA1-1270 ,Confidence interval ,Accelerometer ,lcsh:Nutritional diseases. Deficiency diseases ,Pooled analysis ,ICAD ,Child, Preschool ,Data Interpretation, Statistical ,Standardized coefficient ,Female ,Tracking (education) ,Sedentary Behavior ,business ,computer - Abstract
Background To gain more understanding of the potential health effects of sedentary time, knowledge is required about the accumulation and longitudinal development of young people’s sedentary time. This study examined tracking of young peoples’ total and prolonged sedentary time as well as their day-to-day variation using the International Children’s Accelerometry Database. Methods Longitudinal accelerometer data of 5991 children (aged 4-17y) was used from eight studies in five countries. Children were included if they provided valid (≥8 h/day) accelerometer data on ≥4 days, including ≥1 weekend day, at both baseline and follow-up (average follow-up: 2.7y; range 0.7–8.2). Tracking of total and prolonged (i.e. ≥10-min bouts) sedentary time was examined using multilevel modelling to adjust for clustering of observations, with baseline levels of sedentary time as predictor and follow-up levels as outcome. Standardized regression coefficients were interpreted as tracking coefficients (low: 0.6). Results Average total sedentary time at study level ranged from 246 to 387 min/day at baseline and increased annually by 21.4 min/day (95% confidence interval [19.6–23.0]) on average. This increase consisted almost entirely of prolonged sedentary time (20.9 min/day [19.2–22.7]). Total (standardized regression coefficient (B) = 0.48 [0.45–0.50]) and prolonged sedentary time (B = 0.43 [0.41–0.45]) tracked moderately. Tracking of day-to-day variation in total (B = 0.04 [0.02–0.07]) and prolonged (B = 0.07 [0.04–0.09]) sedentary time was low. Conclusion Young people with high levels of sedentary time are likely to remain among the people with highest sedentary time as they grow older. Day-to-day variation in total and prolonged sedentary time, however, was rather variable over time.
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- 2019
19. Using a co-creational approach to develop, implement and evaluate an intervention to promote physical activity in adolescent girls from vocational and technical schools:A case control study
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Greet Cardon, Mai J M Chinapaw, Teatske M. Altenburg, Maïté Verloigne, Sebastien F. M. Chastin, Ilse De Bourdeaudhuij, Verloigne, Maite, Altenburg, Teatske M, Chinapaw, Mai JM, Chastin, Sebastien, Cardon, Greet, De Bourdeaudhuij, Ilse, Public and occupational health, APH - Health Behaviors & Chronic Diseases, and Amsterdam Reproduction & Development (AR&D)
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BOYS ,Health, Toxicology and Mutagenesis ,participatory ,Psychological intervention ,lcsh:Medicine ,CHILDREN ,PARTICIPATORY ACTION RESEARCH ,0302 clinical medicine ,Belgium ,Surveys and Questionnaires ,Pedagogy ,Medicine and Health Sciences ,030212 general & internal medicine ,intervention ,Schools ,Focus Groups ,Self Efficacy ,Test (assessment) ,COMMUNITY ,female ,Vocational education ,PUBLIC-HEALTH ,OBESITY ,TRIAL ,0305 other medical science ,Psychology ,PROJECT ,Adolescent health ,Sports ,Adolescent ,school ,education ,Adolescent Health ,Health Promotion ,BEHAVIORS ,sports participation ,Article ,03 medical and health sciences ,Intervention (counseling) ,Humans ,Exercise ,Self-efficacy ,Medical education ,030505 public health ,physical activity & health ,lcsh:R ,Public Health, Environmental and Occupational Health ,Focus group ,Health promotion ,Case-Control Studies ,MODERATE - Abstract
usc Background: As physical inactivity is particularly prevalent amongst lower-educated adolescent girls, interventions are needed. Using a co-creational approach increases their engagement and might be effective. This study aimed to: (1) describe the co-creation process, (2) evaluate how girls experienced co-creation, and (3) evaluate the effect of the co-creational interventions on physical activity, individual, sociocultural and school-based factors. Methods: Three intervention schools (n = 91) and three control schools (n = 105) across Flanders participated. A questionnaire was completed pre (September–October 2014) and post (April–May 2015). In between, sessions with a co-creation group were organised to develop and implement the intervention in each intervention school. Focus groups were conducted to evaluate the co-creational process. Results: School 1 organised sport sessions for girls, school 2 organised a fitness activity and set up a Facebook page, school 3 organised a lunch walk. Girls were positive about having a voice in developing an intervention. No significant effects were found, except for small effects on extracurricular sports participation and self-efficacy. Conclusions: Using a co-creational approach amongst adolescent girls might be a feasible approach. However, as interventions were minimal, effects were limited or undetectable. Future co-creation projects could consider the most optimal co-creation process, evaluation design and intensively test this approach. Refereed/Peer-reviewed
- Published
- 2017
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