Hetvi Shukla*, Anand Vaghasiya, Shirin Shaikh and Khevna Naik
Intern, S.S. Agrawal Institute of Physiotherapy and Medical Care Education, Navsari, Gujarat, India
*Corresponding Author: Hetvi Shukla, Principal, S.S. Agrawal Institute of Physiotherapy and Medical Care Education, Navsari, Gujarat, India.
Received: August 17, 2020; Published: October 16, 2020
Citation: Hetvi Shukla., et al. “Immediate Effects of Backpack on Ventilation amongst School Going Children Aged from 7 - 15 Years in Navsari”. Acta Scientific Paediatrics 3.11 (2020):12-19.
Background: Backpacks are used popularly by students to carry their school belongings in many countries. Therefore, serious concerns are being raised about the effect of the backpack on children. There is ongoing concern regarding the weight of children’s schoolbags and the negative consequences of such heavy loads on the developing spine and cardio-respiratory systems. There are various other factors which are affecting cardiorespiratory fitness in adult as well as children. A significant reduction was reported for most of the ventilatory function parameters while carrying the backpack.
Purpose: To check the immediate effect of the backpack on the ventilation of school-going children aged from 7 - 15 years in Navsari.
Method: 210 subjects were taken in this study to check respiratory parameters. All included children were tested in standing position with the head straight after taking written consent from parents. They were further divided into three age groups ranging from 7 - 9 years, 10 - 12 years and 13 - 15 years. Spirometry was done using the spirometer of clarity medical Pvt. Ltd. Spirometer used in the study facilitates the total valuation of lung function including forced vital capacity (FVC), forced expiratory volume in one second (FEV1), and peak expiratory flow rate (PEFR).
Results: With the help of SPSS software paired sample t-test was done. The parameters of FVC, FEV1 and PEFR showed a significant reduction in the data with a backpack, without a backpack and with one shoulder strap. The result of parameters was p ˂ 0.005 except for the value of PEFR with one shoulder strap in the third age group which was p = 0.108.
Conclusion: There is a significant reduction in respiratory function (FVC, FEV1, and PEFR) in correlation with age, weight, and height and bag weight of subjects.
Keywords: Age; Weight; Height; Backpack; School Going Children; Forced Vital Capacity; Force Expiratory Volume in One Second; Subjects; Peak Expiratory Flow Rate
There is ongoing concern regarding the weight of children’s schoolbags and the negative consequences of such heavy loads on the developing spine and cardio-respiratory systems. There are various other factors which is affecting cardiorespiratory fitness in adult as well as children. A significant reduction was reported for most of the ventilatory function parameters while carrying the backpack [4]. Musculoskeletal symptoms are believed to be multi- factorial and its effect on body systems varies with each and every systems of the body, carriage of heavy schoolbags is a suspected ‘contributory factor’, and therefore represents an ‘overlooked daily physical stress’ for school going children with respiratory system more affected which is mentioned by Whittfield., et al. [5]. Normal respiration is a very Complex mechanism [6]. Its function comprising mechanical as well as non-mechanical components. Respiration can be affected by various factors, including age, disease, lifestyle, and even change in posture.
The lungs can be extended and compressed in two ways:
During inspiration, all respiratory muscle contraction whereas during expiration almost entirely passive process occur which is caused by elastic recoil of the lungs and chest cage. In some condi- tions, the respiratory muscles normally perform “work” to cause inspiration and not to cause expiration [6].
The work of inspiration can be further divided into three fractions:
Among the available investigation, pulmonary function test (PFT) is a valuable tool for the assessment of lung function. PFT for lungs can be compared to the ECG for heart and Gender and height are the most important predictors of lung function while height lin- early correlates with lung size [8]. Adverse effect of this can be seen in ventilatory function which can be harmful in upcoming years. Recently the published studies show that in Saudi, there was 13.8% of body weight, which is greater than recommended limit which is 10% body weight [18].
Study design: Observational design.
Sample size: 210.
Sampling method: Convenient sampling.
Study population: School going children aged from 7 - 15, various school of Navsari.
Study duration: From September 2019 to March 2020.
Figure 1: Table setup for data collection.
Figure 2: Tools require in procedure a) Cotton b) Spirometer c) Nose clips d) Pen, pencil, eraser d) Disposable mouthpiece e) Sterillium and isopropyl.
Figure 3: Wall mounted height scale.
Figure 4: Electronic digital weight scale.
Figure 5: Examiner collecting data of weight.
Figure 6: Examiner collecting data of height.
Figure 7: Bag weight measured with weighing scale.
Figure 8: Examiner explaining the procedure of PFT to subjects.
Figure 9: Examiner collecting data of PFT on computer.
The statistical analysis was done. The subjects were approached by the researcher for data collection of PFT which was later used for effective analysis. Descriptive statistics including mean, stan- dard deviation was measured. After analysis of data, paired t-test was used to compare the difference between FVC, FEV1 and PEFR without backpack, FVC, FEV1 and PEFR value with backpack and FVC, FEV1 and PEFR value while carrying backpack on one shoul- der for all the subjects and among three age groups. Results were considered to be significant at p < 0.05 and confidence interval was set at 95%. All statistical analysis was performed using SPSS ver- sion 20.
Table 1 demographic data.
Table 1: Descriptive statistics.
Table 1 shows the demographic data of age, height, weight, bag weight, FVC, FVC with backpack, FVC with one shoulder strap, FEV1, FEV1 with backpack, FEV1 with one shoulder strap, PEFR, PEFR with backpack and PEFR with one shoulder strap among 210 subjects. The mean age of 210 subjects is 11.24 and SD is 2.159. The mean characteristic as per height for subjects is 1.425 and SD is 0.156. For weight the mean is 33.9881 and SD is 13.979, for bag weight the mean is 5.4933 and SD is 1.8414.
Table 2: Age group.
Chart 1: Frequency of age.
Table 2 and chart 1 pie chart demonstrates the range of age and the number of students included in it. Group 1 demonstrate the Age range 7 - 9 years and it consist of 53 students, Group 2 demonstrate the Age range 10 - 12 years and it consist of 89 students and Group 3 shows Age range 13 - 15 years and it consist of 68 students.
Table 3: Comparison of values of FVC, FEV1 and PEFR with three different condition. Confidence interval is 95% and p value is < 0.05.
Chart 2: Comparison of values of FVC, FEV1 and PEFR with three different condition.
Table 3 and chart 2 shows result of analysis done by using paired t-test to determine the comparison of values FVC, FEV1 and PEFR with three different condition. The mean for FVC-FVC with backpack is 0.5129, SD is 0.41105 and t-value is 18.06. The mean for FVCFVC with one strap is 0.27267, SD is 0.3291 and t-value is 12. 007. The mean for FEV1-FEV1 with backpack is 0.44876, SD is 0.37085 and t-value is 17.536. The mean for FEV1-FEV1 with one strap is 0.25243, SD is 0.31149 and t-value is 11.743. The mean for PEFR-PEFR with backpack is 0.77086, SD is 0.96122 and t-value is 11.621. The mean for PEFR-PEFR with one strap is 0.42171, SD is 1.09856 and t-value is 5.563. The p value for all the above-mentioned data is p < 0.05.
Table 4: Comparison among the age group (FVC) paired sample t test among three age group.
Chart 3: Comparison among the age group (FVC).
Table 4 and chart 3 illustrates the comparison of FVC among the three age groups. For group 1 the mean for FVC-FVC with backpack is 0.466, SD is 0.367 and t-value is 9.233 and the mean for FVC-FVC with one shoulder strap is 0.238, SD is 0.292 and t-value is 5.94.
For group 2 the mean for FVC-FVC with backpack is 0.504, SD is 0.440 and t-value is 10.81 and the mean for FVC-FVC with one shoulder strap is 0.275, SD is 0.359 and t-value is 7.21. For group 3 the mean for FVC-FVC with bag is 0.557, SD is 0.404 and t-value is 11.37 and the mean for FVC-FVC with one shoulder strap is 0.295, SD is 0.315 and t-value is 7.71. The p value for all the three group is p < 0.05.
Table 5: Comparison among the age group (FEV1).
Chart 4: Comparison among the age group (FEV1).
Table 5 and chart 4 shows the comparison of FEV1 among the three age groups. For group 1 the mean for FEV1-FEV1 with backpack is 0.44075, SD is 0.44146 and t-value is 7.268 and FEV1-FEV1 with one shoulder strap the mean is 0.25057, SD is 0.35542 and t- value is 5.132. For group 2 the mean for FEV1-FEV1 with backpack is 0.49281, SD is 0.37191 and t-value is 12.501 and the mean for FEV1-FEV1 with one shoulder strap is 0.29416, SD is 0.33251 and t-value is 8.346. For group 3 the mean for FEV1-FEV1 with back- pack is 0.39735, SD is 0.30130 and t-value is 10.875 and the mean for FEV1-FEV1 with one shoulder strap is 0.19926, SD is 0.23286 and t-value is 7.065. The p value for all the above data is p < 0.05.
Table 6: Comparison among the group (PEFR).
Chart 5: Comparison among the group (PEFR).
Table 6 and chart 5 shows the comparison of PEFR among the three age groups. For group 1 the mean for PEFR-PEFR with back- pack is 0.91906, SD is 0.95643, t-value is 6.996 and p value is 0.000 and the mean for PEFR-PEFR with one shoulder strap is 0.54755, SD is 0.8266, t-value is 4.822 and p value is 0.000. For group 2 the mean for PEFR-PEFR with backpack is 0.88831, SD is 1.13849, t- value is 7.361 and p value is 0.000 and the mean for PEFR-PEFR with one shoulder strap is 0.53157, SD is 1.32822, t-value is 3.776 and p value is 0.000. For group 3 the mean for PEFR-PEFR with backpack is 0.50162, SD is 0.60042, t-value is 6.889and p value is 0.000 and the mean for PEFR-PEFR with one shoulder strap is 0.17985, SD is 0.91064, t-value is 1.629 and p value is 0.108.
Respiratory functions are most vital in the entire human body. Understanding the relationship between respiratory mechanism and how it reacts to the stress coming from postural deviation is the key to the exclusive. The aim of the study is to check imme- diate effect of backpack on Ventilation amongst school going chil- dren aged from 7 - 15 years in Navsari. It was conducted in various schools of Navsari region. Total 210 subjects willingly participated in this research. It cannot be denied that there are no changes in Ventilation amongst subjects. During the research demonstration of manoeuvre was given to the subject and after that the procedure was started. The study was done on 210 subjects with mean age
11.24 ± 2.159 ranging from 7 - 15 years, the outcome measure was determined by PFT which consist of FVC, FEV1 and PEFR compo- nents. In previous study, Abeer E. Al-Katheri has conducted study of impact of backpack load on ventilatory function among 9 - 12 year old Saudi girls having mean 10.5 ± 0.8. He concluded a sig- nificant reduction for most of the ventilatory function parameters while carrying the backpack. Similar changes were found in param- eters of our research. The present study was carried out with the concept of strong correlation between effect of backpack weight and Ventilation amongst 210 subjects who were divided into three group according to their age. For group 1 the age range was 7 - 9 years, for group 2 age range was 10-12 years and for group 3 age range was 13 - 15 years, to investigate the Ventilation including FVC, FEV1 and PEFR. In present study the data found for FVC, FEV1 and PEFR was p < 0.005 which shows positive correlation with age, height, weight. It can be summarised from above discussion that there was a significant reduction in most of the parameters after using backpack. These findings are in agreement with the findings of Abeer E. Al Katheri who found that reduction in most of the ven- tilatory function without and with carrying a backpack.
The important aspect of this study is to focus on the effect of backpack on Ventilation of children and how it can affect their mus- culoskeletal system and breathing mechanism. Our study showed reduction in parameters which shows future complications for the children.
The result of the present study on 210 subjects have rejected the null hypothesis. Hence it is concluded that there is a significant reduction in the Ventilation parameter which is FVC, FEV1 and PEFR without backpack, with backpack and with one shoulder strap.
Further the subjects were divided into three groups. Group 1 (7 - 9 years), group 2 (1012 years) and group 3 (13 - 15 years). All the same parameters were measured in this three group and it also rejected the null hypothesis which indicates there is significant re- duction in ventilatory parameters.
Copyright: © 2020 Hetvi Shukla., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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