Validation of the Digiwalker™ Pedometer for Measuring Physical Activity in Young Children

2005 ◽  
Vol 17 (4) ◽  
pp. 345-352 ◽  
Author(s):  
David P. McKee ◽  
Colin A.G. Boreham ◽  
Marie H. Murphy ◽  
Alan M. Nevill
Keyword(s):  
Physical Activity ◽  
Young Children ◽  
Rating Scale ◽  
Nursery School ◽  
School Setting ◽  
Behavioral Observation ◽  
Activity Measurement ◽  
The Mean ◽  
Activity Rating ◽  
Multilevel Linear Regression

Activity measurement using a uniaxial pedometer was validated against behavioral observation using the Children’s Activity Rating Scale (CARS) in 30 three- to four-year-old children in a nursery school setting. Correlations were calculated for individual children, whereas the relationship for the total group was investigated using multilevel linear regression. The mean counts for boys and girls for the Digiwalker™ were 66.8 (± 64.0) and 47.4 (± 61.3; p < .01) steps per 3 minutes, respectively, whereas the mean CARS scores for boys and girls were 1.8 (± 0.6) and 1.6 (± 0.6; p < .01), respectively. Within-child correlations for CARS versus Digiwalker counts ranged from 0.64 to 0.95 with a median value of 0.86, whereas the multilevel analysis provided strong evidence of a relationship between CARS and Digiwalker (all p < .001). Data from the current study show that gender differences in physical levels exist in very young children and support the utility of the Digiwalker pedometer for assessing physical activity in this age group.

scholarly journals Agreeing in assessment of hyperactivity in children

2010 ◽  
Vol 63 (3-4) ◽  
pp. 249-253 ◽  
Author(s):  
Spela Golubovic ◽  
Tatjana Tubic
Keyword(s):  
Physical Activity ◽  
Standard Deviation ◽  
Rating Scale ◽  
School Age ◽  
Category Labels ◽  
The Mean ◽  
High Level ◽  
Attention Level

Introduction The study analyzes the accuracy and agreeability in evaluating hyperactivity in children. Material and methods The study sample was made of 139 children of pre-school age who participated in organized forms of physical activity. The mean age in the sample was 6.38, with a standard deviation of 1.00 years. Conner's Rating Scale was used to measure hyperactivity, and tests were also conducted to evaluate attention levels. Four independent reviewers observed each child's behavior by completing the scale. Results and discussion Eighteen children, or 13.5 percent of the sample, were identified as hyperactive in the analysis. These children also scored lower in the attention level tests. The results of the study show a correlation between the evaluators to be relatively high, bearing in mind the sources' independence. Conclusion It can be concluded that there is a mid to high-level correlation between certain reviewers' evaluations. However, even with a clearly defined view on categorizing certain behaviors as problematic, category labels still differ among evaluators.

scholarly journals How Long does it Take to Examine Young Children with the Caries ICDAS System and how do they Respond?

2018 ◽  
Vol 29 (4) ◽  
pp. 374-380 ◽  
Author(s):  
Stefania Martignon ◽  
Andrea Cortes ◽  
Soledad Isabel Gómez ◽  
Gina Alejandra Castiblanco ◽  
Ximena Baquero ◽  
...  
Keyword(s):  
Young Children ◽  
Clinical Examination ◽  
Rating Scale ◽  
Caries Experience ◽  
Caries Risk ◽  
Self Perception ◽  
Behavior Rating Scale ◽  
Examination Time ◽  
High Caries Risk ◽  
The Mean

Abstract A caries-epidemiological study using the ICDASepi-merged system was conducted in Colombian young children. This study aimed at associating the time needed for the clinical examination of caries and caries risk in 1 to 5-year-old children according to age and caries risk, and to assess behavior and child pain self-perception during examination according to age. After IRB approval and given parents/caregivers’ informed consent, seven trained examiners assessed 1 to 5-year olds in kindergartens under local field conditions. ICDASepi-merged caries experience (depiMEmf) was assessed as follows: Initial-depi (ICDAS 1/2 without air-drying); Moderate-dM (ICDAS 3,4); Extensive-dE (ICDAS 5,6) lesions; due-to-caries fillings-f and missing-m surfaces/teeth. Caries risk was assessed with Cariogram®. Child’s behavior (Frankl-Behavior-Rating-Scale) and self-perceived pain (Visual-Analogue-Scale-of-Faces) during examination were evaluated. Clinical examination time was recorded with a stopwatch. A total of 592 children participated (1-yr.: n=31; 2-yrs.: n=96; 3-yrs.: n=155; 4-yrs.: n=209, 5-yrs.: n=101). The depiMEmfs prevalence was of 79.9% and the mean 8.4±10.4. Most were high-caries-risk children (68.9%). The majority (58.9%) showed ≥ positive-behavior and ≤ light-pain self-perception (88.4%). Mean clinical examination time was around 3.5 minutes (216.9±133.9 seconds). For 5-yr. olds it corresponded to 4 minutes (240.4±145.0 seconds) vs. 2 minutes (122.8±80.1 seconds) for 1-yr. olds (Kruskal-Wallis; p=0.00). For high- and low-caries risk children it was around 4.3 minutes (255.7±118.5 seconds) and 3.3 minutes (201.3±129.4 seconds), respectively (ANOVA; p=0.01). This study demonstrates using the ICDAS system in young children is feasible, taking less than 4 minutes for the clinical examination without children behavior/pain self-perception issues.

Evaluation of the Children??s Activity Rating Scale (CARS) in young children

1993 ◽  
Vol 25 (12) ◽  
pp. 1415???1421 ◽  
Author(s):  
ROBERT H. DuRANT ◽  
TOM BARANOWSKI ◽  
JACQUELINE PUHL ◽  
THOMAS RHODES ◽  
HARRY DAVIS ◽  
...  
Keyword(s):  
Young Children ◽  
Rating Scale ◽  
Activity Rating

The Relationship among Television Watching, Physical Activity, and Body Composition of 5- or 6-Year-Old Children

1996 ◽  
Vol 8 (1) ◽  
pp. 15-26 ◽  
Author(s):  
Robert H. DuRant ◽  
William O. Thompson ◽  
Maribeth Johnson ◽  
Tom Baranowski
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Body Composition ◽  
Rating Scale ◽  
The Body ◽  
Activity Level ◽  
Television Watching ◽  
Activity Rating ◽  
The Relationship

This follow-up investigation examined the relationship among observed time of television watching, physical activity, and body composition in 5- to 6-year-old children previously studied 2 years ago. Activity level on school and nonschool days was measured with the Children’s Activity Rating Scale. Television watching time was assessed by direct observation, and body composition was measured with the body mass index, skinfold thicknesses, and waist/hip ratio. Television watching behavior, which increased from the earlier study, was not associated with body composition. Physical activity was lower during television watching than nontelevision watching time.

scholarly journals The Effect of Home-based Physical Activity on Mood State during the COVID-19 Epidemic: The Mediating Role of Boredom

2020 ◽  
Author(s):  
yufeng yang ◽  
guoli zhang
Keyword(s):  
Physical Activity ◽  
Rating Scale ◽  
Emotional State ◽  
Mood State ◽  
Mood Disturbance ◽  
Sample Survey ◽  
Mediating Role ◽  
Home Based ◽  
Activity Rating ◽  
The Impact

<p><b>Objective: </b>To analyze the impact of the COVID-19 epidemic on residents, and investigate the relationship between home-based physical activity, boredom and mood state.<b> Method: </b>A sample survey of 501 residents completed the Physical Activity Rating Scale-3, the Multidimensional State Boring Scale and Profile of Mood States.<b> Results: </b>① In this epidemic, residents showed boredom and mood disturbance. In less severe areas, residents’ negative psychological experiences are more severe than those in more severe areas. ② Home-based physical activity was negatively correlated with boredom and mood disturbance, and boredom is positively correlated with mood disturbance. ③ Boredom mediated the relation between home-based physical activity and mood disturbance.<b> Conclusion:</b> The COVID-19 epidemic has caused residents to experience more boredom and mood disturbance; home physical exercise can not only improve emotional state directly, but also improve emotional state through boredom.<br></p>

Validation and Reliability of the New Lifestyles NL-1000 Accelerometer in New Zealand Preschoolers

2012 ◽  
Vol 9 (2) ◽  
pp. 295-299 ◽  
Author(s):  
Leanne Liggett ◽  
Andrew Gray ◽  
Winsome Parnell ◽  
Rob McGee ◽  
Yvette McKenzie
Keyword(s):  
Physical Activity ◽  
Rating Scale ◽  
Vigorous Physical Activity ◽  
Intraclass Correlation ◽  
Correlation Coefficients ◽  
Activity Level ◽  
Activity Levels ◽  
Validity And Reliability ◽  
Video Footage ◽  
Activity Rating

Background:Objective measures, such as accelerometers, are increasingly being used to measure physical activity (PA) levels in children, and the use of validated and reliable instruments is desirable when measuring the effectiveness of programs. The purpose of this study was to determine the validity and reliability of the New Lifestyles NL-1000 accelerometer among preschoolers using a modified version of the Children’s Activity Rating Scale (CARS).Methods:Fourteen preschoolers wore the NL-1000 at their waist while the device measured activity levels [in seconds of moderate-to-vigorous physical activity (MVPA)]. They were also videoed for approximately 12 minutes while participating in normal activities at an early childhood center. At approximately 2-minute intervals, activity level readings derived from the NL-1000 were recorded. The video footage was analyzed using a modified CARS technique and the CARS scores compared with data obtained from the accelerometer.Results:Within subject reliability was measured using intraclass correlation coefficients (0.58 for CARS and 0.59 for NL-1000). Furthermore, 95% of the variation in CARS could be explained by variation in the accelerometer counts, with 2.4% of the variation being participant-specific.Conclusion:The NL-1000 is a sufficiently reliable and valid tool for assessing MVPA in preschoolers.

Ability of high school pupils to estimate vocational interests: Some influences of demographic factors and context

1994 ◽  
Vol 11 (2) ◽  
pp. 25-31
Author(s):  
James A. Athanasou ◽  
Ray W. Cooksey
Keyword(s):  
Age Differences ◽  
Euclidean Distance ◽  
Rating Scale ◽  
School Setting ◽  
Age Groups ◽  
Demographic Factors ◽  
Interest Inventory ◽  
Single Sex ◽  
The Mean ◽  
Squared Euclidean Distance

ABSTRACTThis study examines the influence of demographic factors such as age, sex, and school setting on self-estimate ability. The subjects (N = 1814) in this study were administered an interest inventory (Vocational lnterest Survey) and a self-rating scale (Work Interest Survey). Similarity between self-estimate and measured interest profiles was assessed using the correlation between individual's profiles and the squared Euclidean distance (D2), and its components (elevation, scatter, and shape by scatter). There were significant differences between boys and girls on profile parameters of elevation, the overall distance between profiles, and self-estimate ability. Girls, on the whole, were better able to estimate the pattern of measured interests (0.62), compared to boys (0.55), but the magnitude of this difference between these coefficients (i.e., 0.07) was very small. Age differences between four age groups (14, 15, 16, and those over 16 years) were small. The mean correlation at 14 years was 0.64 compared with 0.57 at 16 years and 0.4 for those over 16 years. Differences between single-sex schools and co-educational schools were the third factor considered. Girls' schools had the highest correlation between the VIS and WIS profiles (0.63), followed by co-educational schools (0.58) and boys' schools had the lowest profile correlation (0.55).

Validation of an Electronic Pedometer for Measurement of Physical Activity in Children

1999 ◽  
Vol 11 (1) ◽  
pp. 63-68 ◽  
Author(s):  
Colleen K. Kilanowski ◽  
Angela R. Consalvi ◽  
Leonard H. Epstein
Keyword(s):  
Physical Activity ◽  
High Intensity ◽  
Behavioral Observation ◽  
Activity Measurement ◽  
Triaxial Accelerometer ◽  
Recreational Activities ◽  
Low Intensity

Activity measurement using a uniaxial electronic pedometer was compared to a triaxial accelerometer and behavioral observation measurements for ten 7−12-year-old children studied during high intensity recreational and low intensity classroom periods. Correlations between all measures were significant for recreational and classroom periods combined, and recreational periods alone (r’s > .90, p < .001). Correlations between the pedometer and accelerometer were significantly lower during classroom versus recreational activities (0.98 vs. 0.50, p < .05). This may be due in part to the uniaxial pedometer being sensitive only to vertical and not back and forward or side to side movement.

scholarly journals The Interplay Between Affect, Dog's Physical Activity and Dog–Owner Relationship

2021 ◽  
Vol 8 ◽  
Author(s):  
Heli Väätäjä ◽  
Päivi Majaranta ◽  
Anna Valldeoriola Cardó ◽  
Poika Isokoski ◽  
Sanni Somppi ◽  
...  
Keyword(s):  
Physical Activity ◽  
Affective State ◽  
Activity Measurement ◽  
Activity Levels ◽  
Study Results ◽  
Weekly Physical Activity ◽  
Affective Experiences ◽  
The Mean ◽  
Dog Owners ◽  
Measurement Period

Leaving a dog home alone is part of everyday life for most dog owners. Previous research shows that dog–owner relationship has multifarious effects on dog behavior. However, little is known about the interplay between dog–owner relationship, physical activity of the dog, and affective experiences at the time of the owner leaving home and reunion when the owner comes home. In this paper, we explored how the general (daily, home alone, and over the 2-week study period) physical activity of the dog, and owner's perceptions of the dog's affective state were correlated at those particular moments. Nineteen volunteer dog owners had their dogs (N = 19) wear two activity trackers (ActiGraph wGT2X-GT and FitBark2) for 2 weeks 24 h/day. Prior to the 2-week continuous physical activity measurement period, the owners filled in questionnaires about the dog–owner relationship and the dog behavior. In daily questionnaires, owners described and assessed their own and their perception of the emotion-related experiences of their dog and behavior of the dog at the moment of separation and reunion. The results indicated that the dog–owner relationship has an interplay with the mean daily and weekly physical activity levels of the dog. An indication of strong emotional dog–owner relationship (especially related to the attentiveness of the dog, continuous companionship, and time spent together when relaxing) correlated positively with the mean daily activity levels of the dog during the first measurement week of the study. Results also suggest that the mean daily and over the 2-week measurement period physical activity of the dog correlated the affective experiences of the dog and owner as reported by the owner when the dog was left home alone. More research is needed to understand the interplay between affect, physical activity of the dog, dog–owner relationship, and the effects of these factors on, and their interplay with, the welfare of dogs.

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