Health related physical fitness (HRPF) is considered to be an indirect marker of a person’s health and wellbeing, reflecting the interplay and integration of many persons’ systems and body functions. Purpose: To investigate the relationship between body mass index (BMI) and HRPF in a national cross-sectional sample of Saudi girls and adolescents. Methods: Weight, height and four components of HRPF (body fat composition, strength and endurance, flexibility and cardio-respiratory fitness) were measured in three age groups [(8 - 10), (11 - 12) and (13 - 15) years]. Pearson correlation coefficient and regressions analysis using a non-linear quadratic model were used to evaluate the relationship between BMI and HRPF in three age groups. Results: The results revealed variable relationships among tests. Lower scores in body fat composition and cardio-respiratory fitness were associated with higher body mass indexes in each age group. Also lower scores in muscle strength and endurance were recorded in girls aged from 11 to 15 years. Relationships between BMI and flexibility differed among age groups. Conclusion: BMI significantly and differentially influenced individual HRPF, but effects varied with age. Higher body mass indexes were generally associated with lower HRPF. The level of HRPF determined by this study may serve as an indicator of potential health risks that overweight and obese children girls and adolescents faced.
Body Mass Index Saudi Children Girls and Adolescents Health-Related Physical Fitness1. Introduction
Health-related physical fitness (HRPF) is considered to be an indirect marker of a person’s health and wellbeing, reflecting the interplay and integration of many persons’ systems and body functions (musculoskeletal, cardio- respiratory, hemato-circulatory, psycho neurological and body composition) [1] . The concept of HRPF is operationalized as a composite of cardio-respiratory fitness (CRF), musculoskeletal function of the lower trunk (abdominal muscle strength and endurance and lower back and hamstring flexibility) and body fat composition (fat %), specifically adiposity. Also, HRPF includes a morphological (body mass for height, subcutaneous fat distribution, abdominal visceral fat, and bone density) and metabolic (glucose tolerance, insulin sensitivity, lipid and lipoprotein metabolism, substrate oxidation characteristics) component [2] . Over the past decades there has been a decline in HRPF, accompanied by a decrease in physical activity (PA) levels and an increase in the prevalence of overweight and obesity [1] .
The worldwide epidemic of obesity in children and adolescents has heightened interest in relationships between elevated BMIs, interpreted as excess fatness, and HRPF [3] . The prevalence of childhood obesity is rising rapidly and had raised the concern in Kingdom of Saudi Arabia (KSA). The overall prevalence of overweight and obesity in otherwise Saudi healthy children and adolescents aged from 5 to 18 years is 23.1% and 9.3% respectively [4] . Childhood and adolescents are crucial periods of life, since dramatic physiological and psychological changes take place at these ages. Childhood obesity often persists into adulthood, 50% - 80% of obese children will grow up to become obese adults and it is harder to treat obesity in adults than in children [5] .
Understanding the relationship between BMI and HRPF, measured by valid and reliable tests, will provide key information to aid the design of strategies to reduce the prevalence of cardio metabolic risk factors among children and adolescents. However, relatively few studies deal with HRPF components across a broad range of BMI in children and adolescents. Moreover no planned attempt had been made to study HRPF in KSA. Data on the relationship between BMI and HRPF among children and adolescents in Riyadh city could thus provide a valuable insight for KSA. This study aimed to investigate the relationship between BMI and four components of HRPF in a national sample of Saudi children’ girls and adolescents 8 - 15 years of age.
2. Method
Data were collected in period from September until the end of December 2013. The study was approved by ethical committee of Collage of Applied Medical Science (CAMS), King Saud University (KSU), and by ministry of education. It was funded by King Abdul-Aziz City for Science and Technology.
2.1. Subjects
This cross-sectional study included 304 Saudi girls aged between 8 - 15 years. They were recruited from primary and intermediate governmental schools in Riyadh city using geographical cluster method. The sample was divided into three age groups that approximated different developmental stages: group І (8 - 10 years: late childhood, transition into adolescence), group ІІ (11 - 12 years: adolescent spurt) and group III (13 - 15 years: late adolescence) [3] . Within each age group, girls were classified into four BMI categories based on age and sex- specific percentiles, into underweight ≤ 5th percentile,normal weight > 5th to ≤85th percentile, overweight > 85th to ≤95th percentile and obese >95th percentile [6] . The girls were free from musculoskeletal, metabolic or cardio respiratory problems that would prevent carrying out the fitness test.
2.2. Procedures
After granted permission from officials at each school, a self-assessment of health status checklist was distributed to all students for the purpose of identifying those not able to participate in fitness testing. The simple and clear Arabic checklist was completed and signed by girls in the higher grades and by parents/guardians of girls in the lower grades. Parents/guardians and girls were provided with contact information to answer any question or query regarding the self-assessment checklist. Girl and/or parent signatures were accepted as informed consent.
The study comply with the ethical standards of the Declaration of Helsinki (1975, revised 1983). Testing took place during the students’ physical education class. All tests were assessed on the same day for each student. The participants were examined wearing sportswear (shorts and t-shirt) and without shoes. All tests were administered by the same researcher. Height and weight were measured; BMI percentile was calculated. HRPF tests included: body fat composition (fat %): skin fold thickness (SFT); abdominal muscle strength and endurance: partial curl up test (PCUT); lower back and hamstring muscles flexibility: sit-and-reach test (SRT) and cardio respiratory fitness (CRF): queen college step test (QCST). Individual test protocols were as follows:
SFT was measured on right side (right biceps and calf muscles) from sitting position and girls were instructed to relax. The triceps and calf skin folds have been chosen for because they are easily measured and highly correlated with total body fatness. The caliper measures a double layer of subcutaneous fat and skin. Firmly grasp skin fold between the thumb and forefinger and lift it away from the other body tissue. Be sure the caliper is in the middle of the fold. Each measurement was taken three times, and the mean value was taken. Each reading was recorded to the nearest 0.5 millimeters (mm). The body fat % was determined according to age and gender [7] and was calculated using the specific equation for girls = 0.610 × (triceps SFT [mm] + calf SFT [mm]) + 5.1. The protocol is described in the Fitness gram Test Administration Manual [8] .
Muscular endurance is defined as the ability of specific muscle groups to sustain muscular force through repeated contractions to a point of fatigue [9] . Abdominal muscle endurance can be evaluated using repeated curl-ups performed to exhaustion (number/min). Tell subject to extend arms forward with fingers resting on legs and pointing toward knees. The curl-up was selected because it does not involve the assistance of the hip flexor muscles and minimizes compression in the spine compared with a full sit-up with the feet held .All subjects had 5 minutes of standardized explanation and practice time; the protocol is described in the Fitness gram Test Administration Manual [8] .
The flexibility test was administered using a specially constructed box with a slide ruler attached to the top of the box. The height of the box was 33 cm. The girl was seated on the floor with both legs fully extended, shoulder width apart, and feet placed flat against the box. With one hand on top of the other and the knees fully extended, the participant slowly reached forward (without jerking) as far away as possible, sliding the hands across the top of the ruler, and held the final position for at least two seconds. The SRT score in centimeters was registered as the final position of the fingertips on or towards the ruler. Higher scores indicated better performance. A reach distance of 15 cm corresponded with the position of the feet against the box. The score was negative if the girl could not touch the front of the box with her fingertips, where the “0” point is located. The test was performed twice, and the average was calculated and recorded [10] .
Step test was performed using a step of 41.3 cm height. Stepping was done for a total 3 minutes at a rate of 22 cycles per minute which was set by metronome. After completion of the exercise, the subjects were asked to remain standing comfortably and the carotid pulse rate was measured from the fifth to the twentieth second of the recovery period. This 15 second pulse rate was converted into beats per minute and the following equation was used to predict VO2 max for girls. VO2 max (ml/kg/min) = 65.81 − (0.1847 × pulse rate in beats per min) [11] .
The scores of HRPF tests were used to classify girls as fit or unfit depending on their success or failure to reach the healthy fitness for a given test according to the healthy zone reported in Fitness Gram Test Administration Manual.
2.3. Data Analysis
Means (M), standard deviations (SD) of age, weight, height, BMI and fit rates (Fit/Unfit) of different tests were calculated according to age. Pearson correlation coefficient (r) and regressions analysis using non-linear quadratic model were used to evaluate the relationship between BMI and each HRPF component. HRPF component was the dependent variable and BMI, and BMI squared were independent variables: fitness item = a × BMI2 + b × BMI + c, where a, b and c, were constants. The confidence interval 95% was assigned therefore P value ≤ 0.05 was considered. Statistical package for social sciences (SPSS) program (version 19) was used for statistical analysis.
3. Results
The girls’ anthropometric characteristics for the entire sample were presented in Table 1.
According to the set criteria about 9.9% of the girls were underweight, 54.13% had a normal BMI, 21.12% were overweight and 14.19% were characterized as obese. Regarding to age groups, the prevalence was relatively high in adolescents aged 13 to 15 years where 26.3% and 14.7% are overweight and obese respectively Table 2.
The fit rates of the SFT, PCUT and SRT and descriptive statistics (M ± SD) of these outcome measures in addition to M ± SD of the QCST were summarized in Table 3. In PCUT, the fit rates were extremely high, with
Anthropometric characteristics of participated of girls (N = 304)
Anthropometric Characteristics
M± SD
Max
Min
Age (Yr)
11.39 ± 1.78
15.00
8.00
Weight (kg)
44.47 ± 13.85
88.30
18.70
Height (cm)
145.78 ± 10.82
169.00
116.00
BMI (%)
63.55 ± 31.23
99.00
1.00
M: Mean, SD: Standard deviation, Min.: Minimum, Max.: Maximum, Yr: Year, kg: Kilogram, cm: Centimeter, BMI: Body mass index, %: Percentile.
Sample size and percentage of children’ girls and adolescents within BMI categories defined by percentiles in each age grou
BMI categories
Age (yr)
Underweight
Normal
Overweight
Obese
N
%
N
%
N
%
N
%
8 - 10 (N = 101)
12
11.9
57
56.4
17
16.8
15
14.9
11 - 12 (N = 108)
9
8.3
60
55.6
25
23.1
14
12.9
13 - 15 (N = 95)
9
9.5
47
49.5
25
26.3
14
14.7
Yr: Year, %: Percentage, N: Number.
Mean, standard deviation and percentage (95% CI) of success in the different tests of HRP
Correlations (r) and R<sup>2</sup> between BMI and HRPF tests depend on age group
Age
SFT(fat %)
PCUT (count/min)
SRT (in)
QCST (predicted VO2 max)
r
R2
r
R2
r
R2
r
R2
8 - 10
0.77*
0.63*
0.32*
0.10
−0.17
0.05
−0.39*
0.18*
11 - 12
0.76*
0.62*
0.09
0.08*
0.19*
0.05
−0.15
0.17*
13 - 15
0.74*
0.65*
−0.06
0.09*
0.12
0.14*
−0.04
0.19*
*Correlations and relationships are significant at P < 0.05; R2 values are derived from the full, non-linear quadratic model.
68.5% to 95% of girls being fit. In the SFT the fit rates were lower where 41.6% to 67.3% were fit. The lowest rates of fitness were found in SRT where only 6.7% to 26.7% were fit. With increasing age, the average performance of nearly all tests increases, although this was not the case of fit rates.
Correlations and R2 values between BMI and HRPF components derived from the non-linear quadratic model were summarized in Table 4. Correlations and relationships are highest between BMI and SFT and lowest between BMI and SRT. Relationships between BMI and HRPF components, including results of modeling, were illustrated in Figures 1-4.
Table 4 shows a significant strong positive correlations and relationships between BMI and SFT in all age groups. Fat % increased linearly with an increasing BMI. In the two younger age groups, the Fat % does not differ at low BMIs. Across all age groups, the highest relationship occurs in obese children and adolescents aged 13 - 15 years where 58.4% were unfit (Figure 1).
Relationship between BMI and body fat % in three age groups
Relationship between BMI and abdominal muscles strength and endurance in three age groups
The relationship between BMI and abdominal muscles strength and endurance was significant in girls aged 11 - 15 years. In younger age group, the relationship between BMI and abdominal muscles strength and endurance was linear. While in older age groups, best PCUT performances were apparent in girls with BMI 40th to 60th percentile (normal weight), performances then decline with an increase in BMI in girls aged 11 - 15 years (Figure 2). Across all age groups, the lowest relationship occurs in girls aged 8 - 10 years with 5% were unfit and the highest relationship occurs in adolescents aged 13 - 15 years where 31.5% were unfit (Table 4).
Table 4 and Figure 3 illustrated that the relationship between BMI and lower back and hamstring muscles flexibility increase as age increase and non- significant relationship between BMI and muscles flexibility in girls aged 8 - 12 years. With increasing age, the relationship becomes parabolic and peak of parabola shifts to right. The best SRT scores were apparent with BMI of 40th to 80th percentile (normal weight) and muscles flexibility was significantly poorest at the high and low extremes of BMI in girls aged 13 - 15 years old. The percentage of unfit in each age group was 73.3%, 84.1% and 93.3% respectively.
Figure 4 and Table 4 showed a significant relationship between BMI and CRF (predicted VO2 max) across all age groups. The results presented in Figure 4 showed that the relationship between BMI and CRF was parabolic in girls aged 11 - 15 years. The predicted VO2 max declined sharply with an increasing BMI in girls aged
Relationship between BMI and lower back and hamstring muscle flexibility in three age groups
Relationship between BMI and CRF in three age groups
8 - 10 years. In the tow older age groups, VO2 max was reasonably similar in underweight, and obese. Across all age groups, poorest predicted VO2 max occur with highest BMIs and best predicted VO2 max occur with normal weight.
4. Discussion
To our knowledge, it is the first study to investigate the relationship between BMI and different components of HRPF in a national sample of Saudi girls 8 - 15 years of age. The results of this study provide data on the prevalence of underweight, normal weight, overweight and obesity among Saudi children’ girls and adolescents.
The prevalence of obesity in our sample was higher than the national average of 9.1% of the same age group [12] with 14.19% of the girls being obese. A total of 35.3% of the girls were overweight or obese compared to the national average of 30.1%. Given the negative health consequences associated with overweight and obesity, our findings are of concern and represent a serious public health problem that should be addressed within this unique population in future studies.
Based on the prevalence of underweight, overweight and obesity in the sample, we found that the normal weight girls generally had better HRPF than their underweight, overweight and obese peers. Such an association between weight status and HRPF has also been observed by Mak et al., 2010 [13] and Monyeki et al., 2012 [14] and was described as inverted association.
Relationship between BMI and HRPF vary with test item, among age groups. HRPF scores were lower in children with increase BMI. An inverse relationship was found between BMI and HRPF components except lower back and hamstring muscles flexibility.
Body fat % is very important component of HRPF. People whose body fat % is optimal tend to be healthier. Hence, more attention should be placed on the way of healthy lifestyle among Saudi children and adolescents. The current study showed that overweight and obese girls had higher fat % mean than did normal weight in all age groups. Body fat % increased with age where obese adolescents 13 - 15 showed the highest fat % mean. As expected, there are strong positive correlation and relationship between BMI and body fat % in all age groups. The results are consistent with previous literature [15] -[17] .
Probably the negative lifestyle coupled with increased energy intake seems to be the reason for this type of trend in the present study. The trend of increase in fatness in the girls of the present study is a signal for the health planners and if remedial measures are not planned in time, the consequences of this will be bad. The observation needs to be taken seriously because increased body fat is known to be associated with a wide variety of health problems.
For all over essential basic activities both muscle strength and endurance are required, as well as preventing and controlling various disease and the implications for reducing functional impairments and disability [18] . The relationship between BMI and abdominal muscles strength and endurance was linear in girls aged 8 - 10 years. The fitness rates of abdominal muscles strength and endurance in children aged 8 - 10 years were 95% with increasing age the lower fit rate was observed where 68.5% of adolescents aged 13 - 15 years are considered fit, which in line with Pereira et al., 2011 [1] .
One of the reasons of this suggested that PA was significantly higher in the children than in the adolescent [19] . Recent research also indicates that during adolescence PA sharply decline and sedentary behaviors significantly increase [20] [21] .
In girls 11 - 15 years of age, the relationship between BMI and abdominal muscles strength and endurance was parabolic, Above a BMI ~ 60th percentile, the scores of PCUT decline with increasing BMI. The decline was initially slight but accelerates with increasing BMIs. Obese performed poorer in abdominal muscles strength and endurance compared with normal weight. The results are in agreement with previous studies from Portuguese [1] , Hong Kong [13] , Malaysia [22] , Greek [23] , Taiwanese [24] , and Flemish [25] .
In line with previous studies conducted by Mak et al. [3] and Aboshkair et al. [22] the underweight children and adolescents demonstrated a decreasing trend of performance in PCUT compared to normal weight. However, some previous studies indicated no significant differences in performance for abdominal muscles strength and endurance between underweight and normal children and adolescents [26] .
Muscle strength and endurance becomes more important if it is related to the abdominal region. Flabby muscles of the abdomen having low tone invite deposition of fat in the abdominal adipose area along with protrusion of belly that can lead to the development of biomechanical problems related to posture and can affect the spinal nerves. The poor abdominal muscles strength and endurance exhibited by girls of the present study, point to the negative lifestyle being lead by them. In order to have a healthy adult population, it is important to create awareness among the general public about the importance of HRPF among the girls of KSA.
With regard to lower back and hamstring muscles flexibility, literature [3] [15] [17] [24] [27] indicates no significant differences between children 8 - 12 years old in different BMI categories, and these findings are confirmed by the results of this study, although there is a decreasing tendency of fitness rate present with an increase of BMI. Also, another study has shown that BMI was significantly associated with SRT in Taiwan children and adolescents aged 7 - 18 years [24] . We cannot assert causality from the results of this study, but further research is needed to explore flexibility in children and adolescents and what factors may be influencing them to be more flexible.
On the other hand, the association between BMI and lower back and hamstring muscles flexibility was significant in adolescents aged 13 - 15 years. The muscles flexibility was lower at higher BMI and especially at lower BMI in adolescents which similar to results obtained by Aboshkair et al. [22] and Wu et al. [28] where the individual differences in timing of the growth spurt are a potential confounder.
In disagreement with the results of current study, Deforche et al. [25] found that lower back and hamstring muscles flexibility did not differ between obese and non- obese Flemish adolescents in both sexes aged 12 to 18 years. The difference between our result and result of Deforche et al. may be due to many factors such as sex, PA and differences in maturational status which should be further investigated.
In the present study CRF was the strongest factor that influenced by BMI. The girls of normal weight have higher predicted VO2 max mean than the overweight or obese. The predicted VO2 max therefore decreased progressively as BMI increased. These results are in agreement with several studies showing low level of CRF in obese children and adolescents [1] [3] [7] [13] [15] [22] [26] -[31] .
The lower level of CRF in obese children and adolescents of the present study reflects on their habitual life style. In addition, the results of this study showed that the underweight had significant decreasing trend of performance in CRF from normal weight. These finding was in agreement with the results reported by Monyeki et al., [4] Mak et al., [13] , and Aboshkair et al., [22] .
Low levels of HRPF among overweight and obese Saudi children’ girls and adolescents indeed are alarming because childhood HRPF is linked with the adult HRPF status. The HRPF is negatively affected to a great degree in children between the ages of 8 and 15 years who are overweight and obese. Although the negative health effects of poor HRPF are not necessarily present at this age as a sickness or a disease, it is apparent that child obesity is the precursor of various chronic diseases in adulthood, which includes hypertension, type II diabetes mellitus, coronary heart disease and hyperlipidaemia. Statistics worldwide also indicate that the obesity rates seen among young children will most probably not improve in the future.
5. Strength and Limitation of the Study
The findings of the present study should be interpreted in light of its strengths and limitations. The information stemming from this study may add to existing knowledge about the relationship between BMI and HRPF among children and adolescents in Riyadh city and may provide a valuable insight for KSA. In addition, HRPF tests used in this study are valid and reliable.
However, we must also acknowledge some of the limitations of the present study. Firstly, only four HRPF tests were measured which were not able to assess the overall HRPF. Secondly, we only collected the information on girls aged 8 - 15 years in Riyadh city which make difficulty in generalization of the results of current study. The study was applied on girls only due customs and traditions of KSA. The HRPF is a function of both PA and non-modifiable factors such as genetics. Because we didn’t measure PA and other factors, we cannot determine their relative contribution. In addition, the cross-sectional design of the study does not permit us to distinguish whether low HRPF precedes or follows excess body weight. Longitudinal studies are needed to determine the directionality of the relationship between HRPF and obesity.
6. Conclusion
In summary, the relationship between BMI and HRPF varies with test item and among age groups. Lower fitness level in SFT and QCST is evident in each age group with higher BMIs. Also, lower PCUT scores recorded in girls aged 11 to 15 years with higher BMIs. Results for SRT vary among age groups. BMI significantly affects HRPF of children girls and adolescents. This study may serve as guidelines for physiotherapists when conducting HRPF assessment, in clinical decision making, designing and compilation of intervention programs for school children and adolescents who are between the ages of 8 and 15 years.
Acknowledgements
The study was supported and funded by King Abdul-Aziz City for Science and Technology (No: 35-244)― Riyadh―Kingdom of Saudi Arabia.
Cite this paper
Zahra A.Al-Asiri,Afaf A. M.Shaheen, (2015) Body Mass Index and Health Related Physical Fitness in Saudi Girls and Adolescents Aged 8 - 15 Years. Open Journal of Therapy and Rehabilitation,03,116-125. doi: 10.4236/ojtr.2015.34016
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