Literature DB >> 31064396

Tracking of objective physical activity and physical fitness in Japanese children.

Kensaku Sasayama1, Minoru Adachi2.   

Abstract

OBJECTIVE: The purpose of this study was to examine the tracking of objective physical activity and physical fitness from childhood to adolescence in Japanese children. The longitudinal study comprised 368 participants (aged 9-10 years) in 2008, and the study involved 134 participants (aged 13-14 years, a dropout rate of 63.6%) in 2011. After excluding participants with missing data, a total of 111 participants (46 boys and 65 girls) were available for study. Step counts and moderate-to-vigorous physical activity (MVPA) were measured using a uniaxial accelerometer. Physical fitness was assessed using the following tests: hand grip, sit-ups, sit and reach, side-to-side steps, 20-m shuttle run, 50-m dash, standing broad jump and ball throwing.
RESULTS: In boys, there was a significant correlation between objective physical activity and all physical fitness tests at baseline and follow-up. In girls, although there was no significant correlation between objective physical activity at baseline and follow-up, all physical fitness tests at baseline and follow-up were significantly correlated. In conclusion, moderate tracking was shown in objective physical activity of boys from childhood to adolescence. In addition, moderate to high tracking was shown in physical fitness of both sexes from childhood to adolescence.

Entities:  

Keywords:  Asian children; Fitness; Longitudinal; Moderate-to-vigorous physical activity; Youth

Mesh:

Year:  2019        PMID: 31064396      PMCID: PMC6503543          DOI: 10.1186/s13104-019-4288-y

Source DB:  PubMed          Journal:  BMC Res Notes        ISSN: 1756-0500


Introduction

Several studies have reported that physical activity in childhood is correlated to both physical and mental aspects [1, 2]. Therefore, the World Health Organization recommends that children aged 5–17 years age should accumulate at least 60 min of moderate-to-vigorous physical activity (MVPA) every day [3]. Similarly, the physical activity guidelines in the UK [4], USA [5] and Canada [6] also recommend this level of activity for similar age groups. A review by Telema et al. [7] reported that physical activity tracks from childhood to adolescence and indicated that most previous studies used questionnaires to measure and assess physical activity. A questionnaire can easily evaluate physical activity and has the merit of low cost. However, previous studies [8] also reported that questionnaires overestimate physical activity compared to accelerometry. In addition, Chinapaw et al. [9] reported that the reliability of physical activity questionnaires for children (mean age 6–12 years) is lower than that for adolescents (mean age 12–18 years). Therefore, it appears to be important to examine the tracking of physical activity using objective methods such as an accelerometer. Physical fitness as well as physical activity is reportedly related to physical and mental aspects [10]. Malina [11] examined the tracking of physical fitness (e.g. strength, flexibility and endurance) and reported that physical fitness tracks from childhood to adolescence at low to moderate levels. To the best of our knowledge, the tracking of objective physical activity and physical fitness from childhood to adolescence has neither been measured nor reported in Japanese children. Therefore, it is necessary to confirm the tracking of physical activity and physical fitness from childhood to adolescence to promote the importance of physical activity and physical fitness in this population. The purpose of this study was to examine the tracking of objective physical activity and physical fitness from childhood to adolescence in Japanese children. We hypothesised that objective physical activity and physical fitness track from childhood to adolescence in Japanese children.

Main text

Methods

Study design and participants

This study was conducted in Ibara City within the Okayama Prefecture of Japan during 2008–2011 and encompassed all 13 public elementary schools within the city. The first study comprised 368 participants aged 9–10 years (90.6% within the city) in September 2008, and the follow-up study involved 134 participants (aged 13–14 years, with dropout rate of 63.6%) in September 2011. After excluding participants with missing data, a total of 111 participants (46 boys, 65 girls) were included in the study.

Physical activity

Total steps and MVPA were measured using a uniaxial accelerometer (Kenz Lifecorder EX (LC); Suzuken Co. Ltd, Nagoya, Japan). Kumahara et al. [12] have previously reported that this accelerometer samples acceleration at a rate of 32 samples/second and assesses values ranging from 0.06 to 1.94 g. The acceleration signal was filtered using an analogue bandpass filter and subsequently digitised. The maximum pulse over 4 s was measured as the acceleration value and classified into 11 activity levels (0, 0.5 and 1–9). The epoch length of the LC device is 2 min. Sasayama and Adachi [13] showed that the activity level detected using an LC device was significantly correlated with metabolic equivalents (METs) during walking and running in Japanese children (r = 0.883, p < 0.05). They confirmed that the activity level for MVPA (≥ 3 METs) is equivalent to a value of ≥ 5 as detected by the LC device; accordingly, the MVPA cut-off point was based on this finding [13]. Participants wore the LC device on their waists for 5 consecutive weekdays, at all times, excluding while sleeping, swimming, bathing or contact sports. Based on previous studies [14], accelerometer data were collected on at least 3 weekdays. A valid day was defined as at least 600 min of wear time during weekdays [15]. Non-wearing time was defined by at least 60 min of zero consecutive counts [16].

Physical fitness

Physical fitness was assessed using the new National Statistical Survey on Physical Fitness and Motor Ability by the Ministry of Education, Culture, Sports, Science and Technology (MEXT) in Japan (MEXT, 2000). The physical fitness test by MEXT was conducted as follows and test items included hand grip (muscle strength), sit-ups (abdominal strength and endurance), sit and reach (flexibility), side-to-side jump (agility), 20-m shuttle run (cardiorespiratory endurance), 50-m dash (speed), standing broad jump (explosive leg strength) and softball (9–10 years)/handball (13–14 years) throwing (explosive arm strength and throwing ability).

Anthropometry

Height (precision within 0.1 cm) and body weight (precision within 0.1 kg) were measured in light clothing without shoes. Body mass index (BMI) was calculated using the ratio of weight (kg) to height squared (m2).

Statistical analysis

Participant characteristics, physical activity and physical fitness variables were reported as mean ± standard deviations. Characteristic differences in baseline and follow-up were analysed using paired Student’s t test. The associations between the obtained variables were analysed using Spearman correlation coefficient. Values ranging from 0.00 to 0.29 indicate low correlation, from 0.30 to 0.59 indicate moderate correlation and from 0.60 to 1.00 indicate high correlation [11]. All analyses were performed using SPSS Statistics software version 24. Results were considered statistically significant at p < 0.05.

Results

Characteristics of participants at baseline and follow-up

Characteristics of participants at baseline and follow-up are shown in Table 1. For both sexes, all variables of anthropometry, physical activity and physical fitness showed significant differences between baseline and follow-up.
Table 1

Participants of characteristics

Boys (n = 46)Girls (n = 65)
Baseline (2008)Follow-up (2011)p valueBaseline (2008)Follow-up (2011)p value
Age (years)9.2 ± 0.413.2 ± 0.4< 0.0019.1 ± 0.313.1 ± 0.3< 0.001
Height (cm)134.1 ± 5.8153.1 ± 8.2< 0.001135.1 ± 5.4152.0 ± 4.1< 0.001
Weight (kg)30.7 ± 7.044.4 ± 10.2< 0.00129.8 ± 4.543.9 ± 6.3< 0.001
BMI (kg/m2)16.9 ± 2.918.8 ± 3.0< 0.00116.2 ± 1.719.0 ± 2.4< 0.001
Total steps (steps/day)18387.7 ± 3876.412188.5 ± 4872.9< 0.00114627.3 ± 3340.211863.4 ± 3153.3< 0.001
MVPA (min/day)60.6 ± 18.537.3 ± 22.0< 0.00139.9 ± 13.532.8 ± 14.30.004
Hand grip (kg)14.9 ± 3.023.4 ± 6.9< 0.00114.0 ± 3.321.8 ± 4.6< 0.001
Sit-ups (count)19.3 ± 5.724.2 ± 6.2< 0.00114.6 ± 3.918.7 ± 3.9< 0.001
Sit and reach (cm)36.5 ± 8.740.2 ± 8.50.01537.2 ± 7.742.4 ± 7.1< 0.001
Side-to-side jump (count)40.5 ± 7.048.9 ± 5.8< 0.00137.7 ± 5.643.4 ± 3.9< 0.001
20-m shuttle run (count)45.7 ± 16.868.1 ± 20.9< 0.00129.9 ± 11.646.0 ± 12.8< 0.001
50-m dash (s)9.4 ± 0.79.0 ± 0.9< 0.0019.7 ± 0.79.3 ± 0.7< 0.001
Standing broad jump (cm)147.6 ± 14.7174.7 ± 20.7< 0.001141.1 ± 16.1156.9 ± 25.4< 0.001
Ball throwing (m)24.6 ± 6.819.6 ± 4.5< 0.00113.7 ± 5.111.4 ± 3.4< 0.001

Values are means ± standard deviations

BMI: Body mass index; MVPA: moderate-to-vigorous physical activity

p < 0.05 for different baseline and follow-up

Participants of characteristics Values are means ± standard deviations BMI: Body mass index; MVPA: moderate-to-vigorous physical activity p < 0.05 for different baseline and follow-up

Tracking of physical activity and physical fitness

Tracking of physical activity and physical fitness expressed as Spearman correlation coefficients are shown in Table 2. In boys, there was a significant correlation between total steps, MVPA, hand grip, sit-ups, sit and reach, side-to-side jump, 20-m shuttle run, 50-m dash, standing broad jump and ball throwing at baseline and follow-up. In girls, although there was no significant correlation between total steps and MVPA at baseline and follow-up, hand grip, sit-ups, sit and reach, side-to-side jump, 20-m shuttle run, 50-m dash, standing broad jump and ball throwing at baseline and follow-up were significantly correlated.
Table 2

Tracking of physical activity and physical fitness expressed as Spearman correlation coefficients

Boys (n = 46)Girls (n = 65)
rp valuerp value
Physical activity
 Total steps (steps/day)0.3190.0310.1780.156
 MVPA (min/day)0.3520.0170.1980.114
Physical fitness
 Hand grip (kg)0.520< 0.0010.680< 0.001
 Sit-ups (count)0.588< 0.0010.575< 0.001
 Sit and reach (cm)0.3410.0200.3030.014
 Side-to-side jump (count)0.470< 0.0010.444< 0.001
 20-m shuttle run (count)0.618< 0.0010.513< 0.001
 50-m dash (s)0.736< 0.0010.734< 0.001
 Standing broad jump (cm)0.548< 0.0010.602< 0.001
 Ball throwing (m)0.647< 0.0010.549< 0.001

MVPA: Moderate-to-vigorous physical activity

Tracking of physical activity and physical fitness expressed as Spearman correlation coefficients MVPA: Moderate-to-vigorous physical activity

Discussion

The objective evaluation of physical activity by an accelerometer was a notable strength of the study. Adachi et al. [17] have previously reported that the total energy expenditure assessed using the doubly-labelled water method was significantly correlated with total steps and activity level detected using an accelerometer in Japanese children. In Japanese children aged 9–13 years, we found moderate tracking of physical activity (only boys) and moderate to high tracking of physical fitness (both boys and girls). Previous studies [18-21] measuring total physical activity using pedometers or accelerometers have reported that total physical activity tracks from childhood to adolescence at low to moderate levels. Although these studies differ from the current study in terms of the ages of participants, follow-up period and pedometer or accelerometer use, the present study also showed moderate tracking for total steps in boys (Table 2). On the other hand, in our study, tracking was not confirmed for total steps in girls (Table 2). In some previous studies, tracking of total physical activity in both boys and girls reported similar results [20] but some studies [19, 21] showed that high tracking of total physical activity was confirmed in boys compared to girls. Therefore, there are possibilities of gender differences in terms of tracking. This gender difference may be influenced by the fact that total physical activity in girls is lower than that of boys from childhood to adolescence. Indeed, Wolff-Hughes et al. [22] reported that total physical activity in boys was higher than that in girls, regardless of age (6–19 years). Wolff-Hughes et al. [22] also reported that total physical activity in girls tends to sharply decrease at adolescence compared to boys. This phenomenon may influenced tracking from childhood to adolescence. Previous studies [18, 23–26] have reported that MVPA using accelerometer tracks from childhood to adolescence at low to moderate levels. We confirmed that MVPA tracks moderately only in boys from childhood to adolescence (Table 2). It has been reported that MVPA tracking is more robust in girls than in boys [24]. On the other hand, another report showed that MVPA tracking was similar for boys and girls [25]. Therefore, for MVPA as well as total steps, it is necessary to confirm whether there is gender difference in tracking. Regarding the tracking of physical fitness, it has been reported elsewhere [11] that physical fitness, such as muscular strength and endurance, power or explosive strength, running speed, agility, cardiovascular fitness track at low to moderate levels from childhood to adolescence. In our study, low to high tracking was confirmed in various physical fitness components (Table 2). Therefore, it was suggested that various physical fitness components track from childhood to adolescence in Japanese children.

Conclusion

Our results suggest that objective physical activity in Japanese boys track moderately from childhood to adolescence. In addition, for both Japanese boys and girls, physical fitness track moderately to highly from childhood to adolescence.

Limitations

Our study has several limitations. First, this study comprised a small sample size, had a short tracking term and was conducted only in the Okayama Prefecture in Japan. Since the study was conducted only in the Okayama Prefecture in Japan, its results cannot be applied to other populations or regions. Second, there were no controls for maturity related to physical fitness. Further studies are required with larger sample sizes and including participants from other populations. In addition, it is necessary to examine the maturity level.
  21 in total

1.  The use of uniaxial accelerometry for the assessment of physical-activity-related energy expenditure: a validation study against whole-body indirect calorimetry.

Authors:  Hideaki Kumahara; Yves Schutz; Makoto Ayabe; Mayumi Yoshioka; Yutaka Yoshitake; Munehiro Shindo; Kojiro Ishii; Hiroaki Tanaka
Journal:  Br J Nutr       Date:  2004-02       Impact factor: 3.718

Review 2.  Evidence based physical activity for school-age youth.

Authors:  William B Strong; Robert M Malina; Cameron J R Blimkie; Stephen R Daniels; Rodney K Dishman; Bernard Gutin; Albert C Hergenroeder; Aviva Must; Patricia A Nixon; James M Pivarnik; Thomas Rowland; Stewart Trost; François Trudeau
Journal:  J Pediatr       Date:  2005-06       Impact factor: 4.406

3.  Quality control and data reduction procedures for accelerometry-derived measures of physical activity.

Authors:  Rachel Colley; Sarah Connor Gorber; Mark S Tremblay
Journal:  Health Rep       Date:  2010-03       Impact factor: 4.796

Review 4.  Tracking of physical activity from childhood to adulthood: a review.

Authors:  Risto Telama
Journal:  Obes Facts       Date:  2009-06-12       Impact factor: 3.942

5.  Use of accelerometers in a large field-based study of children: protocols, design issues, and effects on precision.

Authors:  Calum Mattocks; Andy Ness; Sam Leary; Kate Tilling; Stephen N Blair; Julian Shield; Kevin Deere; Joanne Saunders; Joanne Kirkby; George Davey Smith; Jonathan Wells; Nicholas Wareham; John Reilly; Chris Riddoch
Journal:  J Phys Act Health       Date:  2008

6.  Tracking of physical activity and inactivity in middle school girls.

Authors:  Chris D Baggett; June Stevens; Robert G McMurray; Kelly R Evenson; David M Murray; Diane J Catellier; Ka He
Journal:  Med Sci Sports Exerc       Date:  2008-11       Impact factor: 5.411

7.  Tracking of objectively measured physical activity from childhood to adolescence: the European youth heart study.

Authors:  P L Kristensen; N C Møller; L Korsholm; N Wedderkopp; L B Andersen; K Froberg
Journal:  Scand J Med Sci Sports       Date:  2007-06-06       Impact factor: 4.221

Review 8.  Physical fitness in childhood and adolescence: a powerful marker of health.

Authors:  F B Ortega; J R Ruiz; M J Castillo; M Sjöström
Journal:  Int J Obes (Lond)       Date:  2007-12-04       Impact factor: 5.095

9.  Physical activity in children measured by accelerometry: stability over time.

Authors:  G Nyberg; U Ekelund; C Marcus
Journal:  Scand J Med Sci Sports       Date:  2008-02-02       Impact factor: 4.221

10.  Tracking of pedometer-determined physical activity: a 5-year follow-up study of adolescents in Sweden.

Authors:  Anders Raustorp; Kjell Svenson; Thommy Perlinger
Journal:  Pediatr Exerc Sci       Date:  2007-05       Impact factor: 2.333

View more
  2 in total

1.  Study on the Relationship Between Diet, Physical Health and Gut Microflora of Chinese College Students.

Authors:  Xiafen Hu; Jiaqi Guo; Jiadun Wang; Wanxin Liu; Xiaochen Xiang; Siyang Chen; Xinquan Li; Jinhan Tang; Wei Zhang; Hui Chen; Rong Shu; Qingming Wu; Qiang Wang
Journal:  Curr Microbiol       Date:  2022-10-17       Impact factor: 2.343

2.  Familial and Parental Predictors of Physical Activity in Late Adolescence: Prospective Analysis over a Two-Year Period.

Authors:  Damir Sekulic; Dora Maric; Sime Versic; Ante Zevrnja; Admir Terzic; Natasa Zenic
Journal:  Healthcare (Basel)       Date:  2021-01-29
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.