Advances in Physical Education
2012. Vol.2, No.3, 132-138
Published Online August 2012 in SciRes (http://www.SciRP.org/journal/ape) http://dx.doi.org/10.4236/ape.2012.23023
Copyright © 2012 SciRes.
Directly Measured and Self-Reported Physical Activity in a
Sample of Finnish Secondary School Students
Arto Gråstén1*, Anthony Watt2, Timo Jaakkola1, Jarmo Liukkonen1
1Department of Sport Sciences, University of Jyvaskyla, Jyvaskyla, Finland
2School of Education, Victoria University, Melbourne, Australia
Email: *firstname.lastname@example.org, Anthony.Watt@vu.edu.au, email@example.com, firstname.lastname@example.org
Received May 28th, 2012; revised June 27th, 2012; accepted July 11th, 2012
Background: Previous studies based on self-reports show that a majority of children and adolescents in
Western countries fail to achieve the recommendation of 60 minutes moderate to vigorous physical activ-
ity (PA) on a daily basis. The specific aim of the study was to analyze the relationship between directly
measured and self-reported PA in a cross-sectional sample of Finnish secondary school students. More-
over, how large proportion of adolescents accumulate at least 60 minutes of moderate to vigorous PA on a
daily basis using self-reports and direct measure scores. Methods: Participants were recruited from a
secondary school located in Northeast Finland. The sample comprised 96 students (58 girls, 38 boys) aged
between 12- to 16-years (M = 15.03, SD = .94). Students’ directly measured PA was collected using ac-
celerometers over a seven-day period. The self-reported PA data was gathered during the school’s allotted
90-minute lessons. Results: Results indicated that girls and boys were similarly physically active, based
PA measured using both accelerometers and questionnaires. Grade 7 students were physically more active
than Grade 9 students when PA was assessed using self-reports but no significant difference was found
when direct measure scores were used. Self-reported PA emerged as the significant positive predictor for
students’ directly measured PA within Grade 8 (p < .001), and Grade 9 students (p < .01). The results
highlighted that only 10% of adolescents met the recommendation of 60 minutes moderate to vigorous PA
daily, when PA was measured using self-reports. On the contrary, a portion of 85% of students met the
recommendation, when direct measure scores were used. Conclusion: Because the current and previous
findings indicated substantial differences in the assessments results for similarly aged samples, continuing
studies using directly assessed techniques are required to gain detailed information concerning the PA
behavior of Finnish children and adolescents.
Keywords: Physical Activity; Accelerometers; Self-Reports; Secondary School
Recent evidence from the World Health Organization (2012)
reinforces the strong link between physical activity (PA) and
continuing positive benefits to health, well-being and weight
control. According to the recommendations of health experts,
all secondary school-aged students should be physically active
for at least 60 minutes on a daily basis (World Health Organi-
zation, 2012). A review of recent nationally representative stud-
ies based on self-reported PA (Finnish Board of Education,
2011; Ministry of Social Affairs and Health, 2007; National
Institute for Health and Welfare, 2010), however, showed that
only 10% - 40% of Finnish adolescents achieve these recom-
mended levels. Similarly, self-report data drawn from large sam-
ple studies in the US indicated that the minority of adolescents
(37% - 41%) had five or more sessions of moderate to vigorous
PA (MVPA) per week (Gordon-Larsen, Nelson, & Popkin,
2004). In addition, when the activity was assessed directly us-
ing accelerometers, Troiano et al. (2008) reported that within a
large sample of the US population, only 8% of adolescents
obtained the recommended 60 minutes of PA on a daily basis.
The numbers of physically active adolescents could be consid-
ered to be relatively high when PA was measured using self-
reports. The gap between self-reports and directly measured scores
makes it difficult to estimate the quantity of physically active
adolescents, and furthermore to support policy and decision-
making in the domain of children’s and young people’s health
and well-being. The current study compared direct technique
(accelerometer) to a more traditional subjective method (ques-
tionnaire) for the assessment of PA in a cross-sectional sample
of Finnish secondary school students.
During adolescence, the opportunities for PA consist mainly
of commuting to school, school physical education (PE), PA
during recess and leisure time, participation in sports, and un-
organized PA. A limitation highlighted in relation to the PA
measurement techniques used with children and youth is that
most methods are unable to evaluate multiple dimensions of PA
at the same time (e.g., frequency, type, intensity, and duration)
(Dale, Welk, & Mattews, 2002). This typically necessitates that
research dependent on highly accurate assessment of PA would
requires the use of multiple approaches.
A range of measurement techniques are available for assess-
ing PA in children and adolescents. Measures of PA, such as
direct observation (McKenzie, 2002) indirect calorimeter (Sirard
& Pate, 2001), doubly labeled water (Arvidsson, Slinde, & Hul-
then, 2005), pedometers (Tudor-Locke et al., 2002), accelerome-
ters (Rowlands, 2007), heart rate monitors (Eston, Rowlands, &
Ingledew, 1998) and multichannel activity monitor (Trost, McIver,
A. GRÅSTÉN ET AL.
& Pate, 2005) are considered as objectively or directly meas-
ured because the data being collected do not need to be cogni-
tively and perceptually processed by the participants (Marshall
& Welk, 2008). Limitations of direct measures also exist such
as higher costs compared to self-report and the requirement for
devices to be worn consistently and in the prescribed method to
gather reliable data (Bates, 2006). PA may also be viewed as a
latent, not directly observable, and time categorizable according
to activity type and intensity, which can vary substantially over
short periods of time (Corder et al., 2008). Direct measures can
provide important insights into the true activity levels of ado-
lescents (Bates, 2006) and the main techniques (e.g., acceler-
ometers, multichannel activity monitors, heart rate monitors)
have been shown to provide more accurate measures of PA than
self-reported methods in children and adolescents (Bates, 2006;
de Vries et al., 2006; Trost, 2000).
Self-reported PA measures have been used widely in many
countries to assess overall PA, including Finland for the pur-
poses of economical and practical expediency. However, pre-
vious findings have shown that children and adolescents are
less able than adults to recall their PA levels, indicating that
questionnaires provide a restricted measure of PA in children
and adolescents (Marshall & Welk, 2008). Additionally, self-
report measures, such as diaries (Rodriguez et al., 2002), logs
(Welk et al., 2007), interviews (Welk et al., 2007), and ques-
tionnaires (Arvidsson, Slinde, & Hulthen, 2005) require a cer-
tain level of cognitive and perceptual processing by the partici-
pants to generate the data (Marshall & Welk, 2008). During
adolescence, individuals become more capable of abstract, multi-
dimensional, planned and hypothetical thinking on tasks in which
they need to utilize basic cognitive mechanisms, such as short-
or long-term memory (e.g., when recalling their PA levels)
(Keating, 2004). Generally, self-assessment methods are reli-
able and valid, relatively simple and inexpensive to administer,
and appropriate for use in population studies (Bates, 2006).
Despite the variety of measurement methods, it is important to
recognize that measurements of PA provide only estimates of
actual behavior irrespective of the method being used (Marshall
& Welk, 2008).
In previous studies, the correlation between self-reported and
directly measured PA has varied as a function of the method
used. In a study involving a sample of 115 American rural girls
and boys with a mean age of 13.8 years, the correlation be-
tween self-reported PA and accelerometer-based PA was low
(r = .39, p < .01) (Moore, Maloney, & Yin, 2007). Prochaska,
Sallis, and Long (2001) also reported that for a US sample of
250 boys and girls with a mean age of 15 years, the self-reported
measure had low correlation with the accelerometer data (r = .40,
p < .001). According to the findings of Trost et al. (2002), for
overall PA, the magnitudes of the gender differences in PA
were small when measured directly by accelerometers. Shiely
and MacDonncha (2009) found that, when PA was measured
using a self-report questionnaire, more than 11% of 28 Irish
adolescents met the international moderate intensity PA guide-
lines for adolescents, whereas, no adolescent met the interna-
tional guidelines on sustained vigorous physical activity using
heart rate monitors. The possible reason for differences is that
the various techniques are based on different procedures, they
provide raw data that are not directly comparable (Dale, Welk,
& Mattews, 2002). Trost, McIver and Pate (2005) suggested
that at least a seven-day monitoring protocol provides reliable
estimates of usual PA behavior in children and adolescents. The
current review of PA studies involving children and adolescents
highlighted a consistent theme, whereby, researchers were typi-
cally proposing that to advance knowledge on PA in children
and youth, it is important to obtain valid and reliable measure-
ments of typical behavior (e.g., Bates, 2006; Marshall & Welk,
2008; Shiely & MacDonncha, 2009).
Although a large number of Finnish (Finnish Board of Edu-
cation, 2011; Ministry of Social Affairs and Health, 2007; Na-
tional Institute for Health and Welfare, 2010; Yli-Piipari, 2011),
and international studies (Moore, Maloney, & Yin, 2007; Shiely
& MacDonncha, 2009; Slootmaker et al., 2012; World Health
Organization, 2004, 2008) highlight the increasing numbers of
physically inactive children and adolescents, many of these find-
ings are derived from self-report data. Furthermore, there is a
lack of studies analyzing predictive relationships between self-
reported and directly measured PA in children and adolescents.
These types of comparisons would assist in determining if gen-
erally used self-reported PA instruments are sufficiently accu-
rate to support policy and decision-making in the domain of
children’s and young people’s health and well-being. Given the
complexity of the construct and the variety of applications for
measures of PA, continued methodological research is needed
The specific aim of the study was to examine if directly
measured and self-reported PA differ by gender or grade. On
basis of the theoretical framework (Marshall & Welk, 2008), it
was expected that boys and Grade 7 students would score higher.
A second aim was to analyze the predictive strength of self-
reports on direct PA in a cross-sectional sample of Finnish sec-
ondary school students. In line with earlier studies (Moore, Ma-
loney, & Yin, 2007), it was expected that self-reports would
moderately predict directly measure scores. The final aim was
to investigate the proportion of adolescents accumulating at
least 60 minutes of moderate to vigorous physical activity
(MVPA) on a daily basis as assessed by self-report and directly
measured scores. In line with previous findings (Shiely & Mac-
Donncha, 2009; Slootmaker et al., 2012), it was proposed that
directly measured PA would reveal lower numbers of adoles-
cents meeting the recommendation of daily PA levels than
Participants were recruited from a secondary school located
in Northeast Finland through direct contact with the school
principal. All students in each PE class were invited to partici-
pate. Participation in this study was voluntary and no extra
credit was awarded for participation. The sample comprised 96
adolescents (58 girls, 38 boys) aged between 12- to 16-years
(M = 15.03, SD = .94). Permission to conduct the study was
obtained from the Ethical Committee of the University of Jy-
vaskyla. Written, informed consent was obtained from each stu-
dent and their parent or legal guardian after they were given, in
writing, a full explanation of the aims of the study, possible
hazards, discomfort, and inconvenience.
Directly Measured PA
Accelerometers (Polar Active) were used for the direct assess-
Copyright © 2012 SciRes. 133
A. GRÅSTÉN ET AL.
ment of students’ PA. The monitors were light, small, and worn
on the wrist. Daily activity was detected automatically, includ-
ing intensity (MVPA) and duration (minutes). The total minutes
represented adolescents’ MVPA. In the first validation study
(Virtanen, 2011), conducted for a sample of Finnish 6 - 15 year
old children and adolescents (n = 20), Polar Active’s assess-
ment in METs for playing games, walking and running had a
high correlation to METs assessed using indirect calorimetry (r
= .91), whereas the correlation was low for sitting activities (r
= .31). In another validation study (Virtanen, 2011), the corre-
lation between Polar Active and indirect calorimetry (r = .86)
was similar to the correlation between Actigraph accelerome-
ters and indirect calorimetry (r = .84) in seven different activi-
ties (sitting quietly, seated playing a video game, a standing
warm-up, walking, jumping rope, video-led kickboxing, run-
ning for a total of 30 min) in a sample of 23 Finnish 11 - 17
year-old children and youth.
Self-reported PA was assessed using the Health Behavior in
School-aged Children Research Protocol (Currie et al., 2002)
which incorporated a modified version of the Moderate to Vig-
orous Physical Activity (MVPA) measure (Prochaska, Sallis, &
Long, 2001). The introduction preceding the items was: “In the
next two questions physical activity means all activities which
raises your heart rates or momentarily get you out of breath for
example in doing exercise, playing with your friends, going to
school, or in school physical education. Sport also includes for
example jogging, intensive walking, roller skating, cycling, danc-
ing, skating, skiing, soccer, basketball and baseball.” The items
required students to summarize their time spent in physical
activity each day in the following way: 1) “When you think
about your typical week, on how many days you are physically
active for a total of at least 60 minutes per day?” and 2) “Over
the past 7 days, on how many days were you physically active
for a total of at least 60 minutes per day?” Both items used an
eight-point response scale (0 to 7 days in a week). The mean of
the two items was calculated and used as the adolescents’ PA
score. Prochaska, Sallis, and Long (2001) reported that for a
sample of 138 US children and adolescents with a mean age of
12.1 years, the moderate to vigorous PA items were reliable
(ICC = .77) and correlated moderately (r = .40) with acceler-
ometer data in a study based on a five-day data collection period.
Design of the Study
The current cross-sectional data was compiled as part of a
research project for promoting PA and health among children
and youth. Self-report PA data was collected by the researchers
during the school’s allotted 90-minute lessons in April 2011.
The participants had the procedures explained to them verbally,
including a brief overview of possible physical discomfort that
could be caused from wearing an accelerometer. The students
were told that their involvement was voluntary and to ask for
help if confused concerning the instructions, or if they required
clarification of a particular item. To address the possibility of
students’ giving socially desirable responses, students were en-
couraged to answer honestly and were assured that their re-
sponses were confidential. Directly measured PA data was
obtained during a seven-day period. The instructions for the use
of the accelerometers were given by the researchers during the
school PE lessons. Students provided demographic information
associated with age, gender, height, and weight. The participants
were asked to wear the accelerometers for 24 hours a day over a
seven-day period. The monitors were collected by the PE teachers,
and the data was downloaded to a computer by the researchers.
Prior to statistical analyses, normality, missing values, and
outliers of the data were examined. The graphics and values of
skewness (–.168 to .571) indicated that the data was within
accepted limits to be considered normally distributed. The out-
liers were analyzed using standardized values (± 3.29), and
Mahalanobis distance (p < .001) (Tabachnick & Fidell, 2007).
One unit containing missing value and three outliers in directly
measured PA were removed. No further modifications were
required. The scores for both directly measured and self-re-
ported PA were summarized using descriptive statistics. Pear-
son’s correlation coefficients were examined to allow compari-
son with previous studies. Gender and grade differences were
analyzed using MANOVA and Tukey’s HSD-test. Prior to the
MANOVA, the homogeneity of variance-covariance matrices
was examined using Box’s M test which revealed no violation
either in self-reported (F = .790, p > .05) or directly measured
data (F = .135, p > .05). Because of the nature of this study,
general linear model of regression analysis was used to investi-
gate the predictive strength of self-reported PA on directly meas-
ured PA (Yang & Miller, 2008). The distributions of regression
residuals were analyzed using the Kolmogorov-Smirnov test
which showed that the studentized residuals distributed nor-
mally within all grades (p > .05). Statistical analyses were con-
ducted using SPSS 19.0 software.
Descriptive Statistics, Differences, and Correlation
Descriptive statistics are presented in Table 1. The MANOVA
yielded a significant main effect for grade in directly measured
PA (Wilks’s Λ = .89, F(1, 96) = 4.32, p < .05; ηp2 = .04) and
self-reported PA (Wilks’s Λ = .89, F(1, 96) = 10.86, p < .001;
ηp2 = .11). Tukey’s HSD-test revealed that Grade 7 students
were significantly more physically active than Grade 9 students
when PA was measured using self-reports (p < .01). No further
differences were found. Additionally, the Pearson’s correlation
coefficient between self-reported and directly measured PA
scores was moderate in Grade 8 students (r = .66, p < .001),
whereas the correlations were low in both Grade 9 (r = .44, p
< .01), and Grade 7 students (r = .32, p > .05).
Linear Regression Analysis
The results of the linear regression analyses conducted for
each grade level indicated (Table 2) that self-reported PA emerged
as the significant positive predictor for students’ directly meas-
ured PA within Grade 8 students (p < .001), and Grade 9 stu-
dents (p < .01), accounting for 41.6% and 17.3% of variance.
Self-reported PA was not a significant contributor for Grade 7
students’ direct PA.
Achievement of the Recommendation of Daily PA
Results for self-reported PA indicated that only 11% of ado-
lescents met the requirement for minimum 60 minutes of MVPA
Copyright © 2012 SciRes.
A. GRÅSTÉN ET AL.
Copyright © 2012 SciRes. 135
Descriptive statistics of directly measured and self-reported PA.
N Min Max M SD
Girls 19 63.57 223.57 119.90 34.08
Boys 6 74.43 150.14 113.50 27.58
Total 25 63.57 223.57 118.36 32.21
Girls 16 38.00 169.14 101.48 44.17
Boys 13 28.20 206.57 108.88 56.25 Grade 8
Total 29 28.20 206.57 104.80 49.14
Girls 23 36.57 216.43 95.68 51.67
Boys 19 55.14 162.12 94.90 35.66
Total 42 36.57 216.43 95.33 44.62
Girls 19 3 7 5.39 1.14
Boys 6 4 7 5.50 1.27 Grade 7
Total 25 3 7 5.42 1.14
Girls 16 1 7 4.38 1.79
Boys 13 2 7 4.69 1.81 Grade 8
Total 29 1 7 4.52 1.78
Girls 23 2 7 4.00 1.39
Boys 19 1 7 4.29 1.83
Total 42 1 7 4.13 1.59
Results of regression analysis on students’ directly measured PA (N =
Grade 7 .320 .064 1.62
Grade 8 .661 .416 4.57*** Self-reported PA
Grade 9 .440 .173 3.10**
**p < .01, ***p < .001
per day. In contrast, 85% met the recommendation based on
direct measure scores. Self-report data indicated that a mini-
mally larger portion of Grade 8 students (13.1%) achieved the
recommendation than either Grade 7 (12.0%) or 9 students (9.3%).
Conversely, a higher percentage of Grade 7 students (92.0%) met
the requirement of 60 minutes daily PA when assessed by direct
measures than either Grade 8 (76.3%) or 9 (85.2%) students.
Currently, no studies that incorporate both direct and self-
reported measures of PA with samples of Finnish adolescents
have been undertaken. The current study revealed that girls and
boys were similarly physically active, based on PA measured
using both accelerometers and questionnaires. Results also indi-
cated that Grade 7 students were physically more active than
Grade 9 students when PA was assessed using self-reports but
no significant difference was found when direct measure scores
were used. In addition, the associations between self-report and
accelerometer scores were stronger for Grade 8 and 9 students
than those in Grade 7. Unexpectedly, a majority of the students
achieved 60 minutes of MVPA per day when PA was measured
directly. In turn, self-reports revealed a smaller portion of stu-
dents who met the recommendation.
The results of current study revealed that no significant gen-
der differences were found for either self-reported or directly
measured PA. This unexpected finding was not in line with
previous research that showed boys were physically more ac-
tive than girls based on both self-reports (Duncan et al., 2004;
Finnish Board of Education, 2011; Yli-Piipari, 2011; World
Health Organization, 2004; 2008) and direct measure scores
(Sherar et al., 2007; Trost et al., 2002). The key strength of the
current study was that both direct measures and self-reports
were used, compared to the preceding national and international
results. The present data was collected in a relatively small
town, where walking, biking, and snow based activities are
common, and local community and school facilities, including
sport and exercise settings, parks, trails, and pathways may
promote both girls and boys to be more physically active (Sallis
et al., 2006). Many earlier studies were conducted in bigger
cities where opportunities for PA are a lesser focus of the com-
munity structure. The school-based and environmental possibili-
ties for PA could be considered to be very good for the current
sample constituting a possible reason for the difference between
present and previous findings. Additionally, the most recent PA
study by the Finnish Board of Education (2011) found that the
difference between Grade 9 girls’ and boys’ participation in
organized and non-structured sport during leisure time nar-
rowed over the time period of 2003-2010. Similarly, Sherar et
al. (2007) reported that gender differences in PA decline across
adolescence, because as children mature they tend to lower
their engagement in PA. Girls reach biological maturity earlier
than boys, and therefore the gender differences in PA observed
early in adolescence are reduced as boys attain biological ma-
turity. Overall, the patterns of the current and several previous
PA assessments (e.g., Sherar et al., 2007; Thompson et al., 2003)
indicated a trend in which the gender differences in overall PA
disappeared or were consistently smaller during this age period.
However, Sherar et al. (2007) concluded that to fully under-
stand gender disparities in PA, consideration must be given to
the confounding effects of physical development.
The present results showed that Grade 7 students were physi-
cally more active than Grade 9 students when PA was assessed
using self-reports. This pattern was in line with earlier studies
which indicated that PA declines over the secondary school
years (Corbin et al., 2004; World Health Organization, 2004;
A. GRÅSTÉN ET AL.
2008; Yli-Piipari, 2011). In contrast, a significant grade differ-
ence was not found when direct measure scores were examined.
Sherar et al. (2007) reported that the age-related decline in ob-
jective PA has been shown to be associated with early puberty
rather than late biological maturity. The present sample com-
prised students aged between 12- to 16-years, therefore, some
of the participants were likely prepubertal. When students reach
puberty within the secondary school years, they may develop
new interests and pursuits. Many of these changes, getting a
motorbike licence or starting to date, for example, reduce the
time available for PA. This pattern has also been observed in
other adolescent samples (Allison et al., 2007). Many investi-
gators have advocated (e.g., Bates, 2006; de Vries et al., 2006;
Trost, 2000; Sherar et al., 2007) that direct measures provide
more accurate measures of PA than self-reported methods in
children and adolescents. Overall, the results did not fully sup-
port the expectation for grade differences. Therefore, the use of
self-report measures requires careful scrutiny by researchers
when used to observe age-related decline in PA, particularly
secondary school students.
The results of the current study highlighted a trend in which
the prediction of adolescents’ directly measured PA by self-
reported PA scores strengthened non-linearly across the secon-
dary school years, whereby, the shared variance was greater at
Grade 8 than either Grade 7 or Grade 9. This was the first at-
tempt to examine the predictive relationship between self-re-
ported and directly measured PA within Finnish secondary school
students. An additional strength of the current study was that
the direct data was collected for 24 hours per day over a seven-
day period. Trost et al. (2000) recommended that at least a
seven-day monitoring protocol is needed in order to provide
reliable estimates of the usual PA behavior of children and
adolescents. Adolescents may purposely under-report or over-
report health and well-being behaviors including PA, because
they believe engaging in these behaviors is socially undesirable
or desirable (Brener, Billy, & Grady, 2003). Taken together, the
results of this study indicated that Grade 8 and 9 students man-
aged to self-report their daily PA with a higher level of associa-
tion to their directly measured PA than the Grade 7 students.
Based on the current and previous findings (Prochaska, Sallis,
& Long, 2001; Shephard, 2003), researchers need to be cau-
tious when determining actual PA by self-report with adoles-
cent samples because the scores may only provide basic esti-
mates of the actual behavior irrespective of the method used
(Marshall & Welk, 2008).
A larger portion of the current student sample met the rec-
ommendation of 60 minutes MVPA per day (World Health
Organization, 2012) on the basis of their directly measured PA
results than in relation to their self-reported PA. Only 11% of
these adolescents met the daily recommendation of 60 minutes
MVPA as assessed by the self-report measure. This result was
consistent with the findings of the Finnish Board of Education’s
Physical Education Evaluation (2011) but not with other na-
tionally representative studies (Ministry of Social Affairs and
Health, 2007; National Institute for Health and Welfare, 2010).
These studies reported that approximately 40% of Finnish ado-
lescents achieve the recommendation by self-reported methods.
The present study also revealed that 85% of students met the
recommendation when direct measure scores were used. This
finding is in contrast to previous research (Shiely, & MacDon-
ncha, 2009; Slootmaker et al., 2012), that reported that objec-
tively measured PA determined smaller percentages of adoles-
cents that meet the recommendation of daily PA. No previous
studies incorporating directly measured methods are available
in the samples of Finnish children or adolescents. When com-
pared to the sample of US adolescents (Troiano et al., 2008), in
which only 8% of adolescents met the recommendation of
MVPA daily by direct measures, the percentage of physically
active Finnish adolescents could be considered to be relatively
high. Similarly, in a large European study (involving 2185 chil-
dren and adolescents in Denmark, Portugal, Estonia, and Nor-
way), the majority of boys (82%) and girls (62%) at age 15
achieved the current recommendation of PA, when PA was
measured using accelerometers worn on the hip over a seven-
day period (Riddoch et al., 2004). Possible reasons for differ-
ences between US and European studies may be due to cultural
influences or the duration of the monitoring period. The US
study included all ethnic groups, while ethnic differences have
been observed in PA behavior (Biddle, Gorely, & Stensel, 2004;
Brodersen et al., 2007). The participants for present analysis
were drawn from a native population of Finland. Furthermore,
the US data was collected from participants who provided ei-
ther one or four days of accelerometer data, whereas a seven-
day monitoring was used in the present study. Because the cur-
rent and previous findings indicated substantial differences in
the assessments results for similarly aged samples, continuing
studies using directly assessed techniques are required to gain
detailed information concerning the PA behavior of Finnish
children and adolescents. This will extend the limited resource
of directly measured PA data gathered from research involving
school-aged students. Furthermore, no clear reasons for the
large differences observed between the present accelerometer
and questionnaire scores have as yet been fully determined.
A key limitation of this study is related to the techniques
used for PA assessment. Dale, Welk and Mattews (2002) as-
serted that any one technique may not detect the full range of
dimensions of PA such as frequency, type, intensity or duration.
The accelerometer intensity levels selected may be a reason
why a larger portion of students met the recommendation of 60
minutes PA per day in the current study. The manufacturer’s
level for moderate PA was 3.5 MET (e.g., walking at 5.6 kph)
whereas in a study conducted with 8 - 18 year old American
children and youth (Harrell et al., 2005) using indirect calo-
rimetry, a level of 3.8 MET was considered to represent moder-
ate PA. Furthermore, the current cross-sectional sample of 96
students was relatively small due the available economic re-
sources. Therefore, conclusions regarding national trends are re-
stricted based on these findings without additional information.
In future studies, the main focus should be towards the con-
tinuing assessment of representative samples of children and
adolescents of different ages using direct techniques. Addition-
ally, longitudinal data collection incorporating both self-report
and objective measures could benefit the continuing investiga-
tion of children’s and adolescents’ PA in PE and leisure time.
Following the suggestion of Bates (2006), self-report and ob-
jective measures should be used in combination to optimize and
enrich the quality of the data collected from respondents in
daily PA. This information could be utilized in various practical
applications, such as promoting children’s and adolescents’ PA
in school PE and leisure time, PE teacher training, and the pro-
fessional progress of existing PE teachers by providing a clearer
understanding development of students’ PA across the secon-
dary school years.
Copyright © 2012 SciRes.
A. GRÅSTÉN ET AL.
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