Bulletin of Faculty of Physical Therapy

ORIGINAL ARTICLE
Year
: 2019  |  Volume : 24  |  Issue : 1  |  Page : 14--19

The interaction of sex and body mass index on ventilatory functions in school children


Eman Wagdy1, Samy A Nasef2,  
1 Department of Physical Therapy for Woman and Child Health, Faculty of Physical Therapy, Beni-Suef University, Beni-Suef, Egypt
2 Department of Basic Science, Faculty of Physical Therapy, Egyptian Chinese University, Cairo, Egypt

Correspondence Address:
Eman Wagdy
Department of Physical Therapy for Woman and Child Health, Faculty of Physical Therapy, Beni-Suef University, Beni-Suef 11765
Egypt

Abstract

Purpose This study was designed to study the interaction of sex and BMI on ventilatory functions in Egyptian school children. Design A cross-sectional study among the school children aged 8–12 years. Patients and methods Two hundred and nineteen normal children of both sexes (118 boys and 101 girls), their ages ranged between 8 and 12 years, were selected from one of the Egyptian governmental primary schools, Educational Administration, East Cairo, participated in this study. They were divided into two groups based on their BMI (low BMI 115 and normal BMI 104 consequently). Then each group was subdivided according to the sex (67 boys and 48 girls for low BMI subgroup while in normal BMI subgroup 51 boys and 53 girls were included). Anthropometric measurements were used to calculate the BMI. Ventilatory functions were measured using a spirometer. Results The results revealed statistically significant interaction between the effect of sex and BMI on forced vital capacity (P≤0.0001), forced expiratory volume in the first second (P≤0.0001) and no statistically significant interaction on forced expiratory volume in the first second/forced vital capacity % (P=0.44). Furthermore, there was no difference between boys and girls among the measured ventilatory functions. Conclusion There was an interaction between the effect of sex and BMI on ventilatory functions among Egyptian school children. Therefore, healthy nutrition and exercises are highly recommended in children with low BMI.



How to cite this article:
Wagdy E, Nasef SA. The interaction of sex and body mass index on ventilatory functions in school children.Bull Fac Phys Ther 2019;24:14-19


How to cite this URL:
Wagdy E, Nasef SA. The interaction of sex and body mass index on ventilatory functions in school children. Bull Fac Phys Ther [serial online] 2019 [cited 2024 Mar 28 ];24:14-19
Available from: http://www.bfpt.eg.net/text.asp?2019/24/1/14/254611


Full Text



 Introduction



School age is considered a growth and development period which is very important to utilize children stores nutrients in preparation for the rapid growth of adolescence [1]. The growth of children can be measured using pediatric anthropometry as it reflects the nutritional and general health status, physical growth, and motor development of children [2]. BMI is the most anthropometric method commonly used to estimate a healthy body weight based on a child’s height [3].

Malnutrition is defined as different forms of poor nutrition leading to both underweight and overweight conditions [1], which have an adverse health effect throughout one’s lifespan [4]. Unhealthy weight and variations of BMI either underweight, overweight, or obesity during childhood [4] hinder motor, sensory, cognitive, and social development [5].

Underweight is not a disease, but it is a result of either reduced fat mass or fat-free mass or both. It reduces the diaphragm and respiratory muscle motions by reducing the muscle mass [6] that in turn affect the mechanics of the respiratory system [7] and could be related to the impairment of pulmonary functions [8] that is determined by the interaction of elastic recoil of the lungs, chest wall, and respiratory muscle strength [9].

Assessment of ventilatory functions is essential for the evaluation of physical development [10], detection of early lung disease, and monitoring for normal lung growth and lung function decline [11]. Their values are influenced by race, age, sex, height, weight, as well as environmental, genetic, socioeconomic, and nutritional factors [12].

Spirometric evaluation of ventilatory functions include forced vital capacity (FVC), which is the maximum volume of gas that can be expired when the child exhales as forcefully and as rapidly as possible after a maximal inspiration [13] to assess the overall ability to move air in and out of the lungs [14]. Forced expiratory volume in the first second (FEV1) is the volume of gas expired over a given time interval (the first second) from the beginning of the FVC maneuver that reflects airflow in the large airways [15] and FEV1/FVC%, which is the relationship between FEV1 and FVC to determine if the respiratory pattern is an obstructive pattern characterized by airflow obstruction related to pathologic conditions or/a restrictive pattern characterized by reduction of lung volumes without airflow obstruction [13].

The literature review showed several studies on the association of obesity and lung function, others (few) on the effect of underweight and its relation to lung function. Therefore, this study was hypothesized to study the interaction of sex and BMI on ventilatory functions in Egyptian school children.

 Patients and methods



Design

Cross-sectional study among school children (8–12 years).

Participants

Two hundred nineteen normal children of both sexes (118 boys and 101 girls) were selected from one of the Egyptian governmental primary schools, Educational Administration, East Cairo, participated in this study. They were divided into two groups based on their BMI (low BMI 115 and normal BMI 104 consequently). Then each group was subdivided according to sex (67 boys and 48 girls for low BMI subgroup while in normal BMI subgroup 51 boys and 53 girls were included). This experimental study was conducted during the period from February 2018 to April 2018 according to the following criteria.

Inclusion criteria

The age of children were from 8 to 12 years.BMI less than 24.9 kg/m2 to exclude obesity.All children selected for the study were very cooperative and were informed of all procedures of the study.Parent’s informed consent.

Exclusion criteria

Children were excluded from the study if they had any of the following:Overweight and obesity.Spinal deformities such as scoliosis and kyphosis.Congenital or acquired chest wall deformities (e.g. straight chest and pectus carnatus).Cardiopulmonary diseases (e.g. rheumatic and congenital heart disease, bronchial asthma, and chronic obstructive pulmonary disease).Athletic children.

Materials

Standard weight and height scale (Seca apparatus ‘SMIG’) was used to measure body weight and height of all children to exclude obese children (BMI <24.9 Kg/m2) and to introduce height of the child to fit the spirometer.Vitalograph ALPHA (Alpha ΙΙΙ, Model 6000) with disposable mouthpieces and filter was used for measuring the volume of air inspired and expired by the lungs over a specified period of time. The following parameters were evaluated: FVC (L), FEV1 (L), and FEV1/FVC % based on Venkateshaiah and Bhat [9].

Procedures

Physical examination of the spine by the forward bending test to exclude any spinal deformities such as scoliosis and kyphosis.Each child was asked to bend his back forward from standing position with knees extension, then visually scan each level of the spine to assess symmetry. If there is rib hump, it indicates scoliosis while if there is excessive trunk flexion, it indicates kyphosis.All children were informed about the purpose and nature of the study.Each child was instructed to keep an erect posture as much as possible during measurement of body weight and height to calculate BMI to exclude obese children and to confirm that each child was matching the inclusion criteria.Body weight (kg) was measured in an upright posture for each child.Height (m) was measured with each child (standing barefoot in an upright position).BMI was calculated by dividing weight (kg) by height (m2) [BMI=weight (kg)/height (m2)] according to Kouda et al. [16].Calibration of the machine was done before measuring ventilatory function test.Introduction 10 of time and date was done daily before tests.The child’s physical data were recorded: name, age (years), height (m), and sex to allow the vitalograph compact to calculate the predicted values of the measured parameters.A new disposable mouthpiece was used for each child to make sure of the hygiene principles before tests.Spirometry is a test that measures the airflow and the lung volumes during inspiratory and expiratory maneuvers through full expiration and inspiration, respectively [17]. It provides useful information on respiratory muscle function [18]. It was explained to all children to allow them to practice as prescribed prior to data collection to gain proper application of the test. Then each child was asked to:Stand in an upright straight posture.Grasp the mouth unit, keeping it in a vertical position.Insert the mouthpiece into his/her mouth, clamping it between his/her teeth and close his/her lips round the mouthpiece.Inhale as deeply as possible.Exhale as fast and forcefully as possible into the mouthpiece and try to keep exhalation for at least 6 s or until he/she was asked to stop, then inhale as much rapid as possible into the mouthpiece.Each child was asked to perform three successive trials then the best was recorded.

All procedures of this study were approved by the ethical standards of the Committee of the Faculty of Physical Therapy, Beni-Suef University, Egypt. Educational administration and school approval were obtained before the beginning of the study. Also, parent’s informed consent was obtained for all the children before the study.

Statistical analysis

Data of this study were analyzed using descriptive statistics and 2*2 factorial experimental with two independent variables which are the sex (boys vs. girls) and BMI (low vs. normal); the dependent variables were FVC, FEV1, and FEV1/FVC%. The software used for statistical analysis was the IBM SPSS, version 21 (IBM) (IBM Corp., Released 2012, IBM SPSS Statistics for Windows, Version 21.0, Armonk, NY: IBM Corp.). The P value was set at 0.05.

All data of the dependent variables are normally distributed as revealed by Shapiro–Wilk test (P>0.05) as presented in [Table 1] and all data showed no violations of the assumptions of equality of variance as revealed by Levene’s test (P>0.05) as demonstrated in [Table 2]. The differences in demographic characteristics for both groups were assessed using unpaired t test. A preliminary power analysis with a power of 80% determined a sample size of 45 participants in each subgroup according to the G* power software (Heinrich-Heine-Universität, Düsseldorf, Germany).{Table 1}{Table 2}

 Results



The demographic data of the children (age, weight, height, BMI) are presented in [Table 3], which showed no statistical differences between both groups.{Table 3}

Descriptive statistics of FVC, FEV1, and FEV1/FVC % are demonstrated in [Table 4].{Table 4}

The 2*2 factorial experimental demonstrated a statistically significant interaction between the effect of sex and BMI on FVC and FEV1, where F=18.02, 17.27, and P value less than or equal to 0.0001, 0.0001, respectively. Analysis of the simple main effects showed that there was no difference between boys and girls on FVC and FEV1 as F=0.13, 0.79, and P value equals to 0.71, 0.37, respectively, but there was a significant difference between low and normal BMI on FVC and FEV1 as F=72.73, 73.12 and P value less than or equal to 0.0001, 0.0001, respectively as presented in [Table 5].{Table 5}

However, FEV1/FVC% the 2*2 factorial experiment showed that there was no statistically significant interaction between the effect of sex and BMI on FEV1/FVC% where F=0.59 and P=0.44. Furthermore, analysis of the simple main effects showed that there was no difference between boys and girls on FEV1/FVC% as F=3.12 and P=0.07, and also there was no significant difference between low and normal BMI as F=0.01 and P=0.89 as presented in [Table 5].

 Discussion



The aim of this study was to determine the interaction of sex and BMI on ventilatory functions in Egyptian school children based on the hypothesis that there is no difference between boys and girls on ventilatory functions and underweight in children will lead to a decrement in the ventilatory functions.

The results of the present study have shown a statistically significant interaction between the effect of sex and BMI on FVC, FEV1 and no statistically significant interaction between the effect of sex and BMI on FEV1/FVC%.

Height is one of the most important data needed for the spirometric procedure as it influences the values of lung functions. In fact, variation in height per year during the study period (8–12 years) was observed either for boys or/girls, and BMI was estimated by weight (kg) divided by height (m2); thus, it was expected that the difference in height with aging among sex will affect the calculated BMI and lung functions, respectively.

Moreover, a significant interaction between the effect of sex and BMI on FVC and FEV1 may be attributed to small rib cage dimension and shorter diaphragm across girls and, number of alveoli (boys > girls) affect the lung functions among the two sexes who have the same height and age [19].

However, in the present study, there was no statistically significant interaction between the effect of sex and BMI in FEV1/FVC% that indicates no airflow limitation obtained [20] as it was observed that FVC was reduced more than FEV1.

It was confirmed that the restrictive pattern was characterized by reducing both FEV1 and FVC in equal proportions with no lowering of FEV1/FVC% [21]. It matches with the changes in ventilatory functions in this study.

Furthermore, the current results showed no statically significant difference between boys and girls among the selected ventilatory functions (FVC, FEV1, and FEV1/FVC%) during this school-age period (8–12 years). These findings can be attributed to different factors. First, values of ventilatory functions that are known to be affected by hormonal changes at the age of pubertal growth [22],[23]. Second, the ventilatory functions may depend on the strength of respiratory muscles and in turn its difference between boys and girls which may increase according to the age [24] and onset of puberty [25].

In contrast, the cross-sectional study done by Budhiraja et al. [12] concluded that the mean values of FVC and FEV1 were higher in Indian boys as compared with that of girls aged 6–15 years.

Belacy et al. [26] stated that there was a difference between Saudi men and women aged 18–25 years among FVC and FEV1 with significant lower values in women than men because of differences in fat-free mass, chest dimensions, and power of respiratory muscles. Soundariya and Neelambikai [27] found that Indian men and women aged 18–21 years were significantly different in FVC, FEV1, and FEV1% with higher values in men due to greater respiratory muscle strength and greater compliance in men in relation to women.

In addition, Behera et al. [28] reported that Indian men had higher mean values of FVC, FEV1, and FEV1/FVC% than women aged 20–65 years as they explain that men have bigger lungs for the same height than women; muscularity in men accounts higher values of lung functions; and sex hormones in addition to the anatomical and physiological differences may also be responsible for the sex difference in lung functions, which come in accordance with Wang et al. [29], who suggested that the mean values of FVC and FEV1 were significantly higher in Chinese men than women aged 18–80 years and Kohli et al. [30] showed higher mean value of FVC in Indian men than women aged 18–25 years.

On the other hand; the current results have shown significant difference between low and normal BMI on FVC, FEV1, and no significant difference between low and normal BMI on FEV1/FVC% during this school-age period (8–12 years). These findings can be referred to that low BMI (underweight) tend to have low body fat [6] and a depletion of body resources of proteins, calories which are associated with wasting of skeletal muscles including respiratory muscles [9] and diaphragm; therefore, malnutrition is the main factor of impaired respiratory muscles contractility force affecting lung development and its volumes [20]. However; in normal BMI, the lung functions increase in parallel with weight gain due to the increase in muscle strength [27].

There was no significant difference between low and normal BMI in FEV1/FVC% indicating no airflow limitation obtained [20] as observed in the restrictive pattern characterized by reducing both FEV1 and FVC in equal proportions with no lowering of FEV1/FVC% [21].

The findings of our study come in agreement with the findings of Nair et al. [31] and Kaur et al. [20] who stated that FVC, FEV1 were significantly diminished in Indian thin children than normal weight children aged 6–12 and 7–14 years, respectively, with no significant difference in FEV1/FVC% for both groups of children.

However in the adolescence studies, Das et al. [7] showed that there was a statistically significant decrease in values of FVC and FEV1 among thin boys aged 12–16 years compared with normal boys and a positive correlation of BMI with the same parameters in thin boys. The results were interpreted as undernutrition leads to a decrease in muscle mass, it weakens the respiratory muscle and thereby lowering the ventilatory functions.

Moreover in the adult studies, Soundariya and Neelambikai [27] and Wang et al. [29] recommended that the Indian and Chinese underweight participants aged 18–21 years and 18–80 years, respectively, had significantly decreased values of FVC, FEV1, and no significant difference of FEV1/FVC% value compared with the normal weight participants. They contributed their results to the same explanation of Venkateshaiah and Bhat [9].

Lad et al. [32] reported a significant difference between underweight and normal weight students aged 18–21 years in FVC and FEV1 with lesser mean values of both sexes in the underweight group. Also, in underweight individuals of both sexes, BMI had a significant positive correlation with FVC and FEV1.

Kohli et al. [30] supported a significant decrease of FVC value among the Indian candidates aged 18–25 years with lower BMI (underweight) in comparison to candidates with normal BMI.

However, Shah et al. [6] reported that both extremes of BMI affects ventilatory function that was demonstrated in the U-shaped relationship; however, normal BMI remains within the normal range.

On the other hand, Mannino et al. [33] stated that obstructive lung disease, restrictive lung disease, and respiratory symptoms are associated with a highly significant risk of functional impairment (e.g. unable to walk a quarter of a mile, unable to lift 10 pounds, and needs help with daily activities) and fair or poor health status. This can explain the hazardous effect of impaired ventilatory functions on the general health of children.

 Conclusion



It could be concluded that there was an interaction between the effect of sex and BMI on ventilatory functions among Egyptian school children (East Cairo state). Sex has no effect on lung functions while low BMI (underweight) are susceptible to lung function impairment at this school-age period (8–12 years). Healthy diet and chest exercise programs are recommended for general health and improvement of lung functions among low BMI (underweight) school children aged 8–12 years.

Financial support and sponsorship

Nil.

Conflicts of interest

There are no conflicts of interest.

References

1Qureshi MF, Rathore A, Seerani N, Qureshi S, Faisal B, Kumar R. Nutritional status among primary school going children living in urban area of Sindh Pakistan. Pak J Public Health 2017; 7:62–65.
2Singh KM, Singh M, Singh K. Comparison of anthropometric measurements and body composition among the 12 years old rural and urban children. IJPNPE 2017; 2:262–265.
3Rodić N. Relationship between anthropometric characteristics and motor abilities of girls in the first grade of elementary school. Acta Kinesiol 2012; 6:37–41.
4Sjan-Mari VN, Karen G, Quinette L. The prevalence of underweight, overweight and obesity in a multiracial group of urban adolescent schoolchildren in the Cape Metropole area of Cape Town. S Afr J Clin Nutr 2014; 27:18–24.
5Sharma SP, Bhatnagar R, Kumar A, Meena N, Chawala G, Choudhary M. Assessment of malnutrition in pre-School children visiting immunization clinic, Maharana Bhoopal Hospital, Udaipur (Rajasthan). JRMDS 2014; 2: 88–91.
6Shah HD, Shaikh WA, Patel D, Singh SK. Dynamic lung functions in underweight Gujarati Indian adolescents boys. NJCM 2012; 3:142–145.
7Das D, Mondal H, Patnaik M. Study of dynamic lung function parameters in normal, overweight, and thin school boys. J Sci Soc 2017; 44:36–39.
8Mauch RM, Kmit AHP, Marson FAL, Levy CE, Barros-Filho AA, Ribeiro JD. Association of growth and nutritional parameters with pulmonary function in cystic fibrosis: a literature review. Rev Paul Pediatr 2016; 34:503–509.
9Venkateshaiah MD, Bhat MR. Some aspects of pulmonary functions in the underweight and overweight human subjects. JPS 2007; 20:3–7.
10Piccioni P, Tassinari R, Carosso A, Carena C, Bugiani M, Bono R. Lung function changes from childhood to adolescence: a seven-year follow-up study. BMC Pulm Med 2015; 3:15–31.
11Quanjer PH, Stanojevic S, Cole TJ, Baur X, Hall GL, Culver BH et al. Multi-ethnic reference values for spirometry for the 3-95-yr age range: the global lung function 2012 equations. Eur Respir J 2012; 40:1324–1343.
12Budhiraja S, Singh D, Pooni PA, Dhooria GS. Pulmonary functions in normal school children in the age group of 6-15 years in North India. Iran J Pediatr 2010; 20:82–90.
13Gregg LR. Manual of pulmonary function testing. 9th ed. Mosby: Elsevier; 2009.
14Miller MR, Hankinson J, Brusasco V, Burgos F, Casaburi R, Coates A et al. Standardisation of spirometry. Eur Respir J 2005; 26:319–338.
15Ellen H. Essentials of cardiopulmonary physical therapy. 2nd ed. St. Louis, Missouri: Saunders Elsevier; 2001.
16Kouda K, Nakamura H, Fujita Y, Iki M. Relationship between body mass index at age 3 years and body composition at age 11 years among Japanese children: the Shizuoka population-based study. J Epidemiol 2012; 22:411–416.
17Isah MD, Makusidi MA, Abbas A, Okpapi JU, Njoku CH, Abba AA. Spirometric evaluation of ventilatory function in adult male cigarette smokers in Sokoto Metropolis. Niger Postgrad Med J 2017; 24:1–7.
18Chetta A, Aiello M, Tzani P, Olivieri D. Assessment and monitoring of ventilatory function and cough efficacy in patients with amyotrophic lateral sclerosis. Monaldi Arch Chest Dis 2007; 67:43–52.
19Bellemare F, Jeanneret A, Couture J. Sex differences in thoracic dimensions and configuration. Am J Respir Crit Care Med 2003; 168:305–312.
20Kaur R, Chauhan S, Bhardwaj S. Comparative spirometric studies in normal and malnourished children. Natl J Physiol Pharm Pharmacol 2012; 2:134–139.
21Al-Katheri AE. Impact of backpack load on ventilator function among 9-12 year old Saudi girls. Saudi Med J 2013; 34:1255–1261.
22LoMauro A, Aliverti A. Sex differences in respiratory function. Breathe 2018; 14:131–140.
23González FJ, Suárez CC, Cuadrado LV, Leis R, Cabanas R, Tojo R. Lung function reference values in children and adolescents aged 6 to 18 years in Galicia. Arch Bronconeumol 2008; 44:295–302.
24Heinzmann-Filho JP, Vasconcellos Vidal PC, Jones MH, Donadio MV. Normal values for respiratory muscle strength in healthy preschoolers and school children. Respir Med 2012; 106:1639–1646.
25Hulzebos E, Takken T, Reijneveld EA, Mulder MMG, Bongers BC. Reference values for respiratory muscle strength in children and adolescents. Respiration 2018; 95:235–243.
26Belacy NA, Altemani AH, Abdelsalam MH, El-Damarawi MA, Elsawy BM, Nasif NA, El-Bassuoni EA. Reference vlues for lung function tests in adult Saudi population. IJIM 2014; 3:43–52.
27Soundariya K, Neelambikai N. Influence of anthropometric indices on pulmonary function tests in young individuals. World J Med Sci 2013; 9:157–161.
28Behera AA, Behera BK, Dash S, Mishra S. Effect of body mass index on gender difference in lung functions in Indian population. Int J Clin Exp Physiol 2014; 1:229–231.
29Wang S, Sun X, Hsia TC, Lin X, Li M. The effects of body mass index on spirometry tests among adults in Xi’an, China. Medicine 2017; 96:1–4.
30Kohli PG, Kaur H, Arora R, Kaur K. Influence of body mass index on pulmonary function tests in young Punjabi population. APAD 2017; 2:5–9.
31Nair RH, Kesavachandran C, Shashidhar S. Spirometric impairments in undernourished children. Indian J Physiol Pharmacol 1999; 43:467–473.
32Lad UP, Jaltade VG, Lad SS, Satyanarayana P. Correlation between body mass index (BMI), body fat percentage and pulmonary functions in underweight, overweight and normal weight adolescents. JCDR 2012; 6:350–353.
33Mannino DM, Ford ES, Redd SC. Obstructive and restrictive lung disease and functional limitation: data from the Third National Health and Nutrition Examination. J Intern Med 2003; 254:540–547.