_{1}

^{*}

During the academic year 2016-2017, students aged 18 years and older in their second year at the University of Kinshasa Pharmaceutical Sciences Faculty have shown the following mean values, respectively of, cm height, kg weight, kg·m
^{﹣2}
BMI and unit-less ectomorphy: 1° non-sportsmen: 173.4 cm, 55.8 kg, 18.6 kg·m
^{﹣2}
, and 4.8; 2° sportsmen: 174.2 cm, 63.6 kg, 20.9 kg·m
^{﹣2}
, and 3.5; 3° non-sportswomen: 162.2 cm, 59.4 kg, 22.6 kg·m
^{﹣2}
, and 2.2; 4° sportswomen: 161.5 cm, 52.4 kg, 19.9 kg·m
^{﹣2}
, and 3.2; 5° all males students: 173.8 cm, 62.7 kg, 20.7 kg·m
^{﹣2}
, and 3.6; 6° all female students: 160.4 cm, 54.5 kg, 20.6 kg·m
^{﹣2}
, and 2.6; 7° all male and female students pulled together: 168.1 cm, 59.1 kg, 20.6 kg·m
^{﹣2}
, and 3.2. Sports practice seems to increase in males but to decrease in females, height, weight and BMI; while it seems to decrease in males but to increase in females, ectomorphy rating. Sports practice could improve health situation of the population which is bad (14.4% of underweight BMI values instead of less than 5.0%). DRC is worth looking for the mean weight of the subjects enrolled in the experimentation that led to the direction for use adult recommended dose of each imported drug so as, if need be, to adapt it to DRC residents. Referencing values published by others have helped give examples of recruiting sportspersons so as to expect training to be rapidly successful and to expect sports practitioners to be at their best performance during competitions.

The present article focuses on four anthropometric variables: height, weight, body mass index (BMI) and ectomorphy rating. The value of each of the two latter is related to the value of each of the two former. The article is aimed to find out the 1˚ mean values of, and 2˚ possible influences of the four anthropometric variables in Democratic Republic of the Congo (DRC) residents from the standpoints of health concerns and sportspersons talent identification.

a) Height

Identification of some disease risks may rely on computation of BMI, a variable which requires the knowledge of the concerned subject’s not only weight but also height.

b) Weight

According to Schmitt [

c) Body Mass Index

BMI is used to assess weight relative to height and its knowledge is useful for the identification, evaluation, as well as treatment of overweight and obesity in adults [

It has been suggested that efficient talent identification procedures play a very important role in modern sport and were a major factor in Eastern Europe’s domination of many Olympic sports during the 1970s and 1980s [

a) Height [

To make supply match demand of suitable height, there have been more and more Hispanic and Asian jockeys, as well as fewer and fewer Caucasians marathoners. In August 2001, 18 of the fastest 20 male marathon times and 13 of the fastest female times were by East Africans and Japanese.

b) Height and Weight

Accurate forecasts with relation to the individual and team performances can be made on the basis of measurements of height and body mass alone [

c) Body Mass Index

BMI could probably influence sport performance, as 1˚ it assesses weight to height and 2˚ under-height as well as underweight have been associated with decreased capacity in migrant agricultural workers to Brazil [

d) Ectomorphy rating

Malina and Bouchard have suggested that ectomorphy was reasonably stable during growth but that mesomorphy and endomorphy in adolescent boys were not as predictable [

Male and female students aged 18 years and older in their second year at the University of Kinshasa Pharmaceutical Sciences Faculty have been invited to provide information whether they were practicing at least one sport or not. Students’ height and weight have been measured over a four-academic year period (2013-2014, 2014-2015, 2015-2016, and 2016-2017).

Students’ height have been measured using a wall height gauge, divisions of which ranged from 0 to 200 cm, each division measuring 0.1 cm. Students’ weight have been measured using an electronic personal scale, divisions of which ranged from 0 to 150 kg, each division measuring 0.1 kg.

a) Counts, arithmetic means and variances

Microsoft Office Excel 2010 program has been used to count the number of values (n) as well as to compute the arithmetic mean ( x ¯ ) and variance (s^{2}) related to each population (sportspersons, non-sportspersons, …) concerned variable (height, weight, BMI, ectomorphy rating); and to compute percentages of each population subjects whose BMI values fall in any of WHO BMI cutoffs.

b) BMI

BMI have been calculated by dividing body weight in kilograms by squared height in meters (kg∙m^{−2}) [

c) Ectomorphy rating

As signaled by the author [

Rating ectomorphy by equations uses the height-weight ratio (HWR) as given by Equation (1). Taking into account the HWR, ectomorphy is rated according to Equation (2) if HWR > 40.75, according to Equation (3) if HWR is included in the interval [38.28 - 40.75], and according to Equation (4) if HWR < 38.28.

HWR = Height Weight 3 (1)

Ectomorphy = ( HWR × 0. 732 ) − 28 . 58 (2)

Ectomorphy = ( HWR × 0. 463 ) − 17 . 63 (3)

Ectomorphy = 0. 1 (4)

In the Equation (4), 0.1 is the value arbitrarily given to each of the cases where HWR is < 38.28.

d) Comparison of samples means

Comparison has been dealt with between pairs of samples means of the variables height, weight, BMI and ectomorphy rating. Each sample has been considered small because in each comparison, there has been at least one small sample (n < 30). Population variances have been assumed to be equal because in each pair of means, one concerned non-sportspersons while the other concerned sportspersons, all of them belonging to the same population of students aged 18 years and over, in their second year at the University of Kinshasa Pharmaceutical Sciences Faculty.

The variance of the difference between sample mean_{1} and sample mean_{2} ( s c 2 ) has been computed as [

s c 2 = [ Σ X 1 2 − ( Σ X 1 ) 2 N 1 + Σ X 2 2 − ( Σ X 2 ) 2 N 2 ] N 1 + N 2 − 2 (5)

where Σ X 1 2 is the mean of the squared values of the sample_{1}, Σ X 2 2 is the mean of the squared values of the sample_{2}, ( Σ X 1 ) 2 is the square of the sum of all the values of sample_{1}, ( Σ X 2 ) 2 is the square of the sum of all the values of sample_{2}, N 1 is the number of the values of sample_{1}, N 2 is the number of the values of sample_{2}, and N 1 + N 2 − 2 represents the degrees of freedom of the Student’s ‘t’ statistic.

The Student’s “t” statistic has been computed as [

t = X ¯ 1 − X ¯ 2 s c ( 1 N 1 + 1 N 2 ) (6)

where X ¯ 1 is the arithmetic mean of all the values of sample_{1}, and X ¯ 2 is the arithmetic mean of all the values of sample_{2}.

The Student’s “t” statistics and the related degrees of freedom helped to pronounce about possible significance levels of the differences of means.

Tables 1-6 are related to male and female students in their second year at the University of Kinshasa Pharmaceutical Sciences Faculty. Those tables are the result of measuring the students height and weight over a four-academic year period (2013-2014, 2014-2015, 2015-2016 and 2016-2017), and then computing BMI, ectomorphy rating as well as the means values and variances of the four anthropometric variables.

Academic Year | Height (cm) | Weight (kg) | Body Mass Index (kg∙m^{−2}) | Ectomorphy Rating (unitless) | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|

n | x ¯ | s 2 | n | x ¯ | s 2 | n | x ¯ | s 2 | n | x ¯ | s 2 | |

2013-2014 | ||||||||||||

a | - | - | - | - | - | - | - | - | - | - | - | - |

b | 16 | 170.8 | 17.9 | 16 | 61.4 | 69.6 | 16 | 21.1 | 8.9 | 16 | 3.3 | 1.4 |

c | 25 | 169.5 | 78.6 | 24 | 62.5 | 64.4 | 24 | 21.6 | 4.8 | 24 | 2.9 | 1.4 |

d | 41 | 170.0 | 54.3 | 40 | 62.1 | 65.0 | 40 | 21.4 | 6.3 | 40 | 3.0 | 1.4 |

2014-2015 | ||||||||||||

a | 31 | 172.3 | 60.6 | 30 | 60.2 | 64.9 | 24 | 20.8 | 7.1 | 24 | 3.4 | 1.5 |

b | 6 | 169.5 | 11.8 | 6 | 57.8 | 14.3 | 6 | 20.1 | 1.5 | 6 | 3.5 | 0.5 |

c | 27 | 170.7 | 45.6 | 28 | 58.4 | 42.8 | 27 | 20.1 | 2.6 | 27 | 3.7 | 1.0 |

d | 64 | 171.4 | 49.6 | 64 | 59.2 | 50.2 | 57 | 20.4 | 4.4 | 57 | 3.5 | 1.1 |

2015-2016 | ||||||||||||

a | 4 | 171.0 | 12.8 | 4 | 63.1 | 38.7 | 4 | 21.6 | 2.5 | 4 | 2.9 | 0.5 |

b | 23 | 171.9 | 34.5 | 22 | 59.6 | 53.8 | 22 | 20.0 | 3.3 | 22 | 3.8 | 0.9 |

c | 26 | 171.9 | 74.9 | 22 | 61.1 | 67.9 | 22 | 20.5 | 5.3 | 22 | 3.6 | 1.9 |

d | 53 | 171.8 | 51.4 | 48 | 60.6 | 57.9 | 48 | 20.4 | 4.2 | 48 | 3.6 | 1.3 |

2016-2017 | ||||||||||||

a | 3 | 169.5 | 4.2 | 2 | 56.5 | 29.6 | 2 | 19.7 | 1.6 | 2 | 3.7 | 0.3 |

b | 6 | 173.4 | 59.1 | 4 | 55.8 | 31.2 | 4 | 18.6 | 9.2 | 4 | 4.8 | 6.3 |

c | 47 | 174.2 | 37.9 | 45 | 63.6 | 68.7 | 45 | 20.9 | 5.7 | 45 | 3.5 | 1.6 |

d | 56 | 173.8 | 38.3 | 51 | 62.7 | 69.0 | 51 | 20.7 | 6.0 | 51 | 3.6 | 2.0 |

a relates to the students who failed to provide the information whether they were practicing at least one sport or not; b relates to the students who declared themselves not to be sportspersons; c relates to the students who declared themselves to be practitioners of at least one sport; d relates to male students, independently of whether they have pronounced themselves about their participation in sports activities or not; n relates to the number of subjects concerned by a variable value measurement or computation; x ¯ relates to the arithmetic mean of the values of a variable measured in the concerned subjects or computed from the values measured in those subjects; s 2 relates to the variance shown by the concerned values about their mean.

Academic Year | Height (cm) | Weight (kg) | Body Mass Index (kg∙m^{−2}) | Ectomorphy Rating (unitless) | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|

n | x ¯ | s 2 | n | x ¯ | s 2 | n | x ¯ | s 2 | n | x ¯ | s 2 | |

2013-2014 | ||||||||||||

a | - | - | - | - | - | - | - | - | - | - | - | - |

b | 17 | 159.6 | 26.1 | 17 | 58.7 | 115.9 | 17 | 23.0 | 15.6 | 17 | 1.9 | 1.9 |

c | 3 | 162.3 | 65.1 | 3 | 63.1 | 23.9 | 3 | 24.0 | 1.1 | 3 | 1.4 | 0.5 |

d | 20 | 160.0 | 29.9 | 20 | 59.3 | 102.8 | 20 | 23.2 | 13.4 | 20 | 1.8 | 1.7 |

2014-2015 | ||||||||||||

a | 10 | 161.1 | 32.0 | 13 | 56.3 | 39.9 | 9 | 21.2 | 3.4 | 9 | 2.5 | 0.6 |

b | 11 | 160.9 | 34.6 | 14 | 54.7 | 111.8 | 11 | 20.6 | 9.9 | 11 | 2.8 | 1.8 |

c | 10 | 161.0 | 34.9 | 12 | 58.3 | 46.1 | 10 | 22.6 | 5.5 | 10 | 1.9 | 1.1 |

d | 31 | 161.0 | 31.6 | 39 | 56.3 | 66.3 | 30 | 21.4 | 6.8 | 30 | 2.4 | 1.3 |

2015-2016 | ||||||||||||

a | 9 | 160.1 | 25.4 | 10 | 58.7 | 24.4 | 9 | 23.2 | 2.3 | 9 | 1.5 | 0.5 |

b | 18 | 158.3 | 42.6 | 17 | 52.3 | 99.6 | 16 | 21.1 | 17.9 | 16 | 2.7 | 3.3 |

c | 5 | 162.4 | 163.7 | 5 | 53.7 | 33.2 | 5 | 20.5 | 6.2 | 5 | 3.0 | 2.8 |

d | 32 | 159.4 | 53.4 | 32 | 54.5 | 71.3 | 30 | 21.6 | 11.9 | 30 | 2.4 | 2.6 |

2016-2017 | ||||||||||||

a | 15 | 1577 | 47.1 | 14 | 51.8 | 59.6 | 15 | 19.4 | 36.1 | 14 | 2.5 | 2.3 |

b | 14 | 162.2 | 23.9 | 13 | 59.4 | 123.3 | 13 | 22.6 | 14.9 | 13 | 2.2 | 2.3 |

c | 13 | 161.5 | 72.8 | 12 | 52.4 | 51.5 | 12 | 19.9 | 2.3 | 12 | 3.2 | 0.9 |

d | 42 | 160.4 | 49.1 | 39 | 54.5 | 86.7 | 40 | 20.6 | 20.2 | 39 | 2.6 | 1.9 |

a relates to the students who failed to provide the information whether they were practicing at least one sport or not; b relates to the students who declared themselves not to be sportspersons; c relates to the students who declared themselves to be practitioners of at least one sport; d relates to female students, independently of whether they have pronounced themselves about their participation in sports activities or not; n relates to the number of subjects concerned by a variable value measurement or computation; x ¯ relates to the arithmetic mean of the values of a variable measured in the concerned subjects or computed from the values measured in those subjects; s 2 relates to the variance shown by the concerned values about their mean.

Academic Year | Height (cm) | Weight (kg) | Body Mass Index (kg∙m^{−2}) | Ectomorphy Rating (unitless) | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|

n | x ¯ | s 2 | n | x ¯ | s 2 | n | x ¯ | s 2 | n | x ¯ | s 2 | |

2013-2014 | ||||||||||||

e | 61 | 166.7 | 68.1 | 60 | 61.2 | 77.8 | 60 | 22.0 | 9.2 | 60 | 2.6 | 1.8 |

2014-2015 | ||||||||||||

e | 95 | 168.0 | 67.0 | 103 | 58.1 | 57.7 | 87 | 20.7 | 5.4 | 87 | 3.2 | 1.4 |

2015-2016 | ||||||||||||

e | 85 | 167.2 | 87.8 | 80 | 58.2 | 71.3 | 78 | 20.8 | 7.4 | 78 | 3.2 | 2.1 |

2016-2017 | ||||||||||||

e | 98 | 168.1 | 87.4 | 90 | 59.1 | 92.3 | 91 | 20.6 | 12.1 | 90 | 3.2 | 2.2 |

e relates to all the subjects, males and females, concerned by an academic year; n relates to the number of subjects concerned by a variable value measurement or computation; x ¯ relates to the arithmetic mean of the values of a variable measured in the concerned subjects or computed from the values measured in those subjects; s 2 relates to the variance shown by the concerned values about their mean.

The coming discussion is concerned mainly with the 2016-2017 academic year results, as height, weight, BMI and ectomorphy rating are likely to vary according to the passing of the years. However, 2013-2014, 2014-2015 and 2015-2016 academic year results are presented so as to serve in the evaluation of possible secular trends of the four anthropometric variables, after some years.

The students have been invited to provide the information whether they were practicing at least one sport or not. Some of the students failed to provide the expected information (a, in the Tables), some declared themselves not to be sportspersons (b, in the Tables), while others declared themselves to be practitioners of at least one sport (c, in the Tables). In any table, “d” refers to all the subjects of the same gender, independently of whether they have pronounced themselves about their participation in sports activities or not, while “e” refers to all the subjects, males and females, concerned by a given academic year. Some students have been absent when has been measured a variable, either height or weight. That affects the values of the variables computed from height and weight (BMI and ectomorphy rating).

a) Morbidity and Mortality Concerns

Pulling together the variables values referred to the 2016-2017 students aged 18 years and older, in their second year at the University of Kinshasa Pharmaceutical Sciences Faculty, mean height ± variance has been 173.8 ± 38.3 cm in the 56 male subjects (

Pulling together the variables values referred to the 2016-2017 students who declared themselves not to be sportspersons, aged 18 years and older, in their second year at the University of Kinshasa Pharmaceutical Sciences Faculty, mean BMI ± variance has been 18.6 ± 9.2 kg∙m^{−2} in the 4 male subjects (^{−2} in the 13 female subjects (

Tables 4-6 speak of underweight, normal, overweight and class I obesity percentages, in accordance with what follows. Stated in kg∙m^{−2}, a BMI value inferior to 18.5 is that of a subject suffering from underweight; a BMI value lying between 18.5 and 24.9 is normal; a BMI value lying between 25.0 and 29.9 is that of a subject suffering from overweight; a BMI value lying between 30.0 and 34.9 is that of a subject suffering from class I obesity; a BMI value lying between 35.0 and 39.9 is that of a subject suffering from class II obesity; while a BMI value superior or equal to 40.0 is that of a subject suffering from class III obesity [

Tables 4-6 show that the academic year 2016-2017, in male and female students aged 18 years and older, in their second year at the University of Kinshasa Pharmaceutical Sciences Faculty.

1˚ in male subjects (^{−2} and 24.9 kg∙m^{−2} in 100.0% of subjects who did not pronounce themselves about their participation in sports activities; b˚ BMI lies below 18.5 kg∙m^{−2} in 25.0% of subjects who declared themselves not to be sportspersons; c˚ BMI lies between 18.5 kg∙m^{−2} and 24.9 kg∙m^{−2} in 75.0% of subjects who declared themselves not to be sportspersons; d˚ BMI lies below 18.5 kg∙m^{−2} in 15.6% of subjects who declared themselves to be sportspersons; e˚ BMI lies between 18.5 kg∙m^{−2} and 24.9 kg∙m^{−2} in 77.8% of subjects who declared themselves to be sportspersons; f˚ BMI lies between 25.0 kg∙m^{−2} and 29.9 kg∙m^{−2} in 6.7% of subjects who declared themselves to be sportspersons; g˚ BMI lies below 18.5 kg∙m^{−2} in 15.7% of all the subjects of the male gender, independently of whether they have pronounced themselves about their participation in sports activities or not; h˚ BMI lies between 18.5 kg∙m^{−2} and 24.9 kg∙m^{−2} in 78.4% of all the subjects of the male gender, independently of whether they have pronounced themselves about their participation in sports activities or not; i˚ BMI lies between 25.0 kg∙m^{−2} and 29.9 kg∙m^{−2} in 5.9% of all the subjects of the male gender, independently of whether they have pronounced themselves about their participation in sports activities or not.

2˚ in female subjects (^{−2} in 14.3% of subjects who did not pronounce themselves about their participation in sports activities; b˚ BMI lies between 18.5 kg∙m^{−2} and 24.9 kg∙m^{−2} in 78.6% of subjects who did not pronounce themselves about their participation in sports activities; c˚ BMI lies between 25.0 kg∙m^{−2} and 29.9 kg∙m^{−2} in 7.1% of subjects who did not pronounce themselves about their participation in sports activities; d˚ BMI lies below 18.5 kg∙m^{−2} in 15.4% of subjects who declared themselves not to be sportspersons; e˚ BMI lies between 18.5 kg∙m^{−2} and 24.9 kg∙m^{−2} in 61.5% of subjects who declared themselves not to be sportspersons; f˚ BMI lies between 25.0 kg∙m^{−2} and 29.9 kg∙m^{−2} in 15.4% of subjects who declared themselves not to be sportspersons; g˚ BMI lies between 30.0 kg∙m^{−2} and 34.9 kg∙m^{−2} in 7.7% of subjects who declared themselves not to be sportspersons; h˚ BMI lies below 18.5 kg∙m^{−2} in 8.3% of subjects who declared themselves to be sportspersons; i˚ BMI lies between 18.5 kg∙m^{−2} and 24.9 kg∙m^{−2} in 91.7% of subjects who declared themselves to be sportspersons; j˚ BMI lies below 18.5 kg∙m^{−2} in 12.8% of all the subjects of the female gender, independently of whether they have pronounced themselves about their participation in sports activities or not; k˚ BMI lies between 18.5 kg∙m^{−2} and 24.9 kg∙m^{−2} in 76.9% of all the subjects of the female gender, independently of whether they have pronounced themselves about their participation in sports activities or not; l˚ BMI lies between 25.0 kg∙m^{−2} and 29.9 kg∙m^{−2} in 7.7% of all the subjects of the female gender, independently of whether they have pronounced themselves about their participation in sports activities or not; m˚ BMI lies 30.0 kg∙m^{−2} and 34.9 kg∙m^{−2} in 2.6% of all the subjects of the female gender, independently of whether they have pronounced themselves about their participation in sports activities or not.

3˚ in male and female subjects pulled together (^{−2} in 14.4% of subjects; b˚ BMI lies between 18.5 kg∙m^{−2} and 24.9 kg∙m^{−2} in 77.8% of subjects; c˚ BMI lies between 25.0 kg∙m^{−2} and 29.9 kg∙m^{−2} in 6.7% of subjects; d˚ BMI lies between 30.0 kg∙m^{−2} and 34.9 kg∙m^{−2} in 1.1% of subjects

b) Pharmacovigilance Concerns

As signaled above, pulling together the variables values referred to all the 2016-2017 students (

Pulling together the variables values referred to the 2016-2017 students who declared themselves not to be sportspersons (^{−2} in the 4 male subjects and 22.6 ± 14.9 kg∙m^{−2} in the 13 female subjects; 4˚ mean ectomorphy rating ± variance has been 4.8 ± 6.3 (unit-less) in the 4 male subjects and 2.2 ± 2.3 (unit-less) in the 13 female subjects.

No significant difference has been found using the Student’s ‘t’ statistic and the related degrees of freedom, in the aim of discovering a possible influence of sports practice on pairs of samples here concerned variables of interest (height, weight, BMI, ectomorphy rating). However,

Four anthropometric variables are concerned in the present study: height, weight, BMI and ectomorphy rating.

As far as we know, ectomorphy rating has not yet been used for health concerns purposes. That is the reason why in the results above and in the discussion below, when the addressed question concerns morbidity and mortality, attention is turned only to height, weight and BMI.

Health concerns may justify the use of a drug. Among the four anthropometric variables, weight is the only one that is used to determine the fraction of the adult drug dose to be administered to a child. Moreover, to date, there still no exist direction for use specially redacted for drug doses to be administered to sportspersons besides drug doses to be administered to non-sportspersons. Hence, when drug administration is concerned, in the results above and in the discussion below, attention is turned to the weight of all the subjects independently of them being whether sportspersons or not.

Sport practice is likely to cause a change in a practitioner height, weight, BMI and ectomorphy rating. So, in the results above and in the discussion below, when the purpose is sport talent identification, attention is turned to the four anthropometric values shown by the subjects who declared themselves not to be sportspersons, for comparison with the values shown by elite athletes.

a) Morbidity and Mortality

Height and Weight

The academic year 2016-2017, pulling together the variable values referred to all the students (

Calculating the mean from values falling in a particular interval makes one assume that each of the values is located at the interval midpoint, the latter being obtained computing the mean of the upper and the lower limits of the interval [^{−2} and 24.9 kg∙m^{−2}. In this case, each normal BMI value is assumed to be at the midpoint of the interval, that is to say 21.7 kg∙m^{−2} [=(18.5 + 24.9) kg∙m^{−2} × 0.5].

For male subjects, being 173.8 cm the peak height and 21.7 kg∙m^{−2} the normal BMI value, normal weight is expected to be 65.5 kg instead of 62.7 kg. For female subjects, being 160.4 cm the peak height and 21.7 kg∙m^{−2} the normal BMI value, normal weight is expected to be 55.8 kg instead of 54.4 kg. To prevent risks related to underweight, the concerned males and females should pay attention not to decrease much their body weight.

Body Mass Index

The discussion below deals first with arithmetic mean values. Each of those means is the value that may be given to each of the measurements value from the concerned population (anthropometry applied to individuals). Then the discussion deals with percentages of subjects who fall into the seven BMI cutoffs set by the World Health Organization (WHO) (anthropometry applied to populations).

BMI mean values of students here concerned (anthropometry applied to individuals)

Stated in kg∙m^{−2}, a BMI value inferior to 18.5 is that of a subject suffering from underweight; a BMI value lying between 18.5 and 24.9 is normal; a BMI value lying between 25.0 and 29.9 is that of a subject suffering from overweight; a BMI value lying between 30.0 and 34.9 is that of a subject suffering from class I obesity; a BMI value lying between 35.0 and 39.9 is that of a subject suffering from class II obesity; while a BMI value superior or equal to 40.0 is that of a subject suffering from class III obesity [

Pulling together the BMI values of the 2016-2017 students (^{−2} for the 4 male subjects and 22.6 ± 14.9 kg∙m^{−2} for the 13 female subjects; 2˚ the subjects who declared themselves to be sportspersons has been 20.9 ± 5.7 kg∙m^{−2} for the 45 male subjects and 19.9 ± 2.3 kg∙m^{−2} for the 12 female subjects; 3˚ all the subjects concerned with the present study has been 20.7 ± 6.0 kg∙m^{−2} for the 51 male subjects and 20.6 ± 20.2 kg∙m^{−2} for the 40 female subjects.

The results just above show that non-sportsmen have a BMI mean value of subjects near the lower limit of normal values and suggest that sport practice could improve the value raising it near to the midpoint of BMI normal values class interval, 21.7 kg∙m^{−2} [=(18.5 + 24.9) kg∙m^{−2} × 0.5].

In non-sportswomen, BMI mean value is slightly above the midpoint 21.7 kg∙m^{−2}, according to the results just above, could worsen to a value near to the lower limit of normal values. Supervision by sports medicine practitioners is possibly valuable whenever the female subjects concerned by the present study perform sports activities.

Considering all the subjects concerned in the present study, independently of them being whether sportspersons or not, male as well female, BMI mean values lie between the lower limit of normal values and 21.7 kg∙m^{−2}, the midpoint of BMI normal values class interval, except non-sportswomen mean BMI value (22.6 kg∙m^{−2}).

Applying international BMI cutoffs would place substantial number of elite athletes into overweight or obese categories [

It has been noticed that [

Body fat percentage may be estimated from BMI but there is a relatively large standard error in the prediction [

In case of underweight, fat-free tissue (protein-rich) loss conditions survival [

Now, in DRC (formerly called Zaire), there are presently permanent (AIDS, tuberculosis, etc) and recurrent (Ebola fever, etc.) communicable diseases as well as malnutrition. The subjects enrolled in the present study reside in DRC and, according to the results above, have shown BMI mean values near to the lower limit of normal values. Actions must be hence carried out to modify the weight mean values and thus BMI mean values so as 1˚ to minimize the impact of exacerbated fat-free tissue loss communicable disease-induced or malnutrition-induced; and 2˚ to increase the chance of survival from infection or malnutrition in DRC, assuming that the population of our study is representative of DRC residents population.

Percentages of subjects who fall into the seven BMI cutoffs set by the WHO

Academic Year | Percentage of BMI below 18.5 (Underweight) | Percentage of BMI between 18.5 and 24.9 (Normal) | Percentage of BMI between 25.0 and 29.9 (Overweight) | Percentage of BMI between 30.0 and 34.9 (Class I obesity) |
---|---|---|---|---|

2013-2014 | ||||

a | ||||

b | 0.063 | 0.875 | - | 0.063 |

c | 0.083 | 0.792 | 0.125 | - |

d | 0.075 | 0.825 | 0.075 | 0.025 |

2014-2015 | ||||

a | 0.083 | 0.875 | - | 0.042 |

b | - | 1.000 | - | - |

c | 0.222 | 0.778 | - | - |

d | 0.140 | 0.842 | - | 0.018 |

2015-2016 | ||||

a | - | 1.000 | - | - |

b | 0.091 | 0.909 | - | - |

c | 0.182 | 0.773 | 0.045 | - |

d | 0.125 | 0.854 | 0.021 | - |

2016-2017 | ||||

a | - | 1.000 | - | - |

b | 0.250 | 0.750 | - | - |

c | 0.156 | 0.778 | 0.067 | - |

d | 0.157 | 0.784 | 0.059 | - |

a relates to the students who failed to provide the information whether they were practicing at least one sport or not; b relates to the students who declared themselves not to be sportspersons; c relates to the students who declared themselves to be practitioners of at least one sport; d relates to male students, independently of whether they have pronounced themselves about their participation in sports activities or not.

Academic Year | Percentage of BMI below 18.5 (Underweight) | Percentage of BMI between 18.5 and 24.9 (Normal) | Percentage of BMI between 25.0 and 29.9 (Overweight) | Percentage of BMI between 30.0 and 34.9 (Class I obesity) |
---|---|---|---|---|

2013-2014 | ||||

a | ||||

b | 0.118 | 0.647 | 0.176 | 0.059 |

c | - | 1.000 | - | - |

d | 0.100 | 0.700 | 0.150 | 0.050 |

2014-2015 | ||||

a | 0.111 | 0.889 | - | - |

b | 0.364 | 0.455 | 0.182 | - |

c | - | 0.900 | 0.100 | - |

d | 0.167 | 0.733 | 0.100 | - |

2015-2016 | ||||

a | - | 0.778 | 0.222 | - |

b | 0.313 | 0.563 | 0.063 | 0.063 |

c | - | 1.000 | - | - |

d | 0.167 | 0.700 | 0.100 | 0.033 |

2016-2017 | ||||

a | 0.143 | 0.786 | 0.071 | - |

b | 0.154 | 0.615 | 0.154 | 0.077 |

c | 0.083 | 0.917 | - | - |

d | 0.128 | 0.769 | 0.077 | 0.026 |

a relates to the students who failed to provide the information whether they were practicing at least one sport or not; b relates to the students who declared themselves not to be sportspersons; c relates to the students who declared themselves to be practitioners of at least one sport; d relates to female students, independently of whether they have pronounced themselves about their participation in sports activities or not.

Academic Year | Percentage of BMI below 18.5 (Underweight) | Percentage of BMI between 18.5 and 24.9 (Normal) | Percentage of BMI between 25.0 and 29.9 (Overweight) | Percentage of BMI between 30.0 and 34.9 (Class I obesity) |
---|---|---|---|---|

2013-2014 | ||||

e | 0.083 | 0.783 | 0.100 | 0.033 |

2014-2015 | ||||

e | 0.149 | 0.805 | 0.034 | 0.011 |

2015-2016 | ||||

e | 0.141 | 0.795 | 0.051 | 0.013 |

2016-2017 | ||||

e | 0.144 | 0.778 | 0.067 | 0.011 |

e relates to all the subjects, males and females, concerned by an academic year.

shown by 77.8% of students; 2˚ BMI underweight values have been shown by 14.4% of students; 3˚ BMI overweight values have been shown by 6.7% of students; and 4˚ BMI class I obesity values have been shown by 1.1% of students.

An adult population is healthy when one finds in it a low proportion of individuals suffering from underweight (BMI inferior to 18.5); but when in the population, the percentage of individuals showing underweight BMI values lies between 5.0% and 9.0%, between 10.0% and 19.0%, between 20.0% and 39.0%, and 40.0% and more; the population situation requires observation, is bad, is serious and very serious, respectively [

The proportions of adults of adults (18 years and older) suffering from underweight and concerned by the present study (

Nonetheless, it is worth pointing out that participation in sports activities by males and females (

Formerly, a study dealt with on University of Kinshasa students (20 years and older) the academic year 1996-1997 [

Studies have pointed out a mortality increase in low BMI values adults of industrialized societies as well as male adults of BMI values lower than 18.5 [

b) Pharmacovigilance

Administering a drug to children, one has to administer only a fraction of the amount that must be administered to the adult. Comparing to dosages based on the age of the child, the dosages based on the weight of the child give the most exact results [

Clark’s rule [

Child ’ sdose = Adult ’ sdose × Child ’ sweightexpressedinpounds 150 (7)

Historically, the mass of an average man has been assumed to be 70 kg by physiologists [

Child ’ sdose = Adult ’ sdose × Child ’ sweightexpressedinkilograms 70 (8)

Doses necessary to produce a given effect while dealing with experimentation being a function of body weight allows the use of the following rule [Equation (9)] [

Child ’ sdose = Adult ’ sdose × Child ’ sweightexpressedinkilograms 75 (9)

Pierre [

Child ’ sdose = Adult ’ sdose × Child ’ sweightexpressedinkilograms 50 (10)

As while dealing with experimentation dose always relate to body weight kilograms [

Three possibilities may be considered after drug experimentation: 1˚ both adult and child doses have been recommended by the drug direction for use; 2˚ only adult dose has been recommended in the form of a drug amount per body kg; and 3˚ only adult dose has been recommended in the form of a fixed amount of drug, 100 mg for instance. In the third possibility, child dose must be calculated using a rule such those expressed by Equation (9), Equation (8) or Equation (10).

Assuming on one hand that the adult recommended dose results from experimentation on physiologists adult male subjects of 70 kg mean weight, and on the other hand that has been recommended only the adult dose of 100 mg; three possibilities may occur: 1˚ in a geographical area where the mean adult weighs really 70 kg, each body kg is supposed to receive about 1.43 mg/kg (≈100 mg/70kg); 2˚ in a geographical area where the mean adult weighs 75 kg, each body kg is supposed to receive about 1.33 mg/kg (≈ 100 mg/75kg), with the risk of under-dosing and the consequent decrease of drug efficiency, if administering the drug, one is unaware of the fact that the fixed adult dose results from experimentation on 70 kg mean weight adults; but 3˚ in a geographical area where the mean adult weighs 50 kg, each body kg is supposed to receive 2 mg/kg (=100 mg/50kg), with risk of overdosing and the subsequent decrease of harmlessness, if administering the drug, one is unaware of the fact that the fixed adult dose results from experimentation on 70 kg mean weight adults.

DRC adult mean body weight value is now inferior to 70 kg (

a) Talent detection and athletes selection for competition

It has been noted that it generally takes many years for a high level athlete to achieve his best performance [

Hence, success could rapidly be met practicing sports for which current anthropometric values of the practitioner are close to the ideal values (values shown by most of the best practitioners). That may be taken into account when recruiting sportspersons. Alike, it is careful to expect the best performance only when the concerned competitor current anthropometric values do not lie far from ideal anthropometric values of the concerned sport practitioners.

b) Anthropometric values discussed below are so, referencing values published by others

Success in a given sport event is underlay, among other factors, by anthropometric factors, which optimal values are held by the athletes more successful than the others, the latter holding values more and more distant from the optimal ones, as the success decrease [

A recent study [^{th}, 2013; and that 2.5 has also been the ectomorphy rating held by most of the 98 professional boxers. Two point four is the mean value of ectomorphy ratings from Spain National Centers of Sports Medicine [“Centros Nacionales de Medicina Deportiva”] [

As the tendency in sport in general has been toward more homogeneous physiques within sports (and within positions and events in any given sport) and toward more heterogeneous physiques between sports [

c) Sporting implications of the anthropometric values shown by the subjects enrolled in the present study

On one hand, weight is better predictor of capacity for work than height [

In 2016-2017, when sports practice has not yet influenced ectomorphy rating, BMI, weight and height, mean values lead one to expect training of recently recruited sportspersons be less and less successful when sports selected for practice are for instance, in male subjects, volleyball > basketball or cycling > taekwondo > boxing > rugby. As shown below, that is true for ectomorphy rating and BMI, predictors that combine influence of both height and weight. That is almost the same for weight, better predictor of capacity for work than height [

Ectomorphy rating

In 2016-2017, when sports practice has not yet taken place and thus has not yet influenced ectomorphy ratings, mean values are 4.8 in men and 2.2 in women, respectively (

BMI

In 2016-2017, when sports practice has not yet taken place and hence has not yet influenced BMI values, mean values are 16.8 kg∙m^{−2} in men and 18.8 kg∙m^{−2} in women, respectively (^{−2} BMI values) selected for practice are, for instance, 1˚ for men, marathon (20.7 kg∙m^{−2}) > running [distance] (20.8 kg∙m^{−2}) > cycling [road] (21.6 kg∙m^{−2}) > volleyball (22.1 kg∙m^{−2}) > taekwondo (22.6 kg∙m^{−2}) > swimming (23.0 kg∙m^{−2}) > running [sprint] (23.6 kg∙m^{−2}) > basketball (24.2 kg∙m^{−2}) > rugby [backs] (26.1 kg∙m^{−2}) > boxing [heavyweight] (28.5 kg∙m^{−2}) > rugby [forwards] (29.4 kg∙m^{−2}); and for women, basketball (22.1 kg∙m^{−2}) > volleyball (21.5 kg∙m^{−2}) > tennis (20.7 kg∙m^{−2}) > or running [distance] (19.1 kg∙m^{−2}) > marathon (18.7 kg∙m^{−2}).

Weight

In 2016-2017, when sports practice has not yet influenced weight, mean values are 55.8 kg in men and 59.4 kg in women, respectively (

Height

In 2016-2017, when sports practice has not yet taken place and thus has not yet influenced height, mean height values are 173.4 cm in men and 162.2 cm in women (

The study has yielded what follows from students aged 18 years and older in their second year at the University of Kinshasa Pharmaceutical Sciences Faculty, the academic year 2016-2017.

a) In male students

1˚ mean height ± variance has been a˚ (169.5 ± 4.2) cm in the 3 students who failed to provide the information whether they were practicing at least one sport or not; b˚ (173.4 ± 59.1) cm in the 6 students who declared themselves not to be sportspersons; c˚ (174.2 ± 37.9) cm in the 47 students who declared themselves to be practitioners of at least one sport; d˚ (173.8 ± 38.3) cm in all the 56 students, independently of whether they have pronounced themselves about their participation in sports activities or not.

2˚ mean weight ± variance has been a˚ (56.5 ± 29.6) kg in the 2 students who failed to provide the information whether they were practicing at least one sport or not; b˚ (55.8 ± 31.2) kg in the 4 students who declared themselves not to be sportspersons; c˚ (63.6 ± 68.7) kg in the 45 students who declared themselves to be practitioners of at least one sport; d˚ (62.7 ± 69.0) kg in all the 51 students, independently of whether they have pronounced themselves about their participation in sports activities or not.

3˚ mean BMI ± variance has been a˚ (19.7 ± 1.6) kg∙m^{−2} in the 2 students who failed to provide the information whether they were practicing at least one sport or not; b˚ (18.6 ± 9.2) kg∙m^{−2} in the 4 students who declared themselves not to be sportspersons; c˚ (20.9 ± 5.7) kg∙m^{−2} in the 45 students who declared themselves to be practitioners of at least one sport; d˚ (20.7 ± 6.0) kg∙m^{−2} in all the 51 students, independently of whether they have pronounced themselves about their participation in sports activities or not.

4˚ mean ectomorphy rating ± variance has been a˚ 3.7 ± 0.3 in the 2 students who failed to provide the information whether they were practicing at least one sport or not; b˚ 4.8 ± 6.3 in the 4 students who declared themselves not to be sportspersons; c˚ 3.5 ± 1.6 in the 45 students who declared themselves to be practitioners of at least one sport; d˚ 3.6 ± 2.0 in all the 51 students, independently of whether they have pronounced themselves about their participation in sports activities or not.

b) In female students

1˚ mean height ± variance has been a˚ (157.7 ± 47.1) cm in the 15 students who failed to provide the information whether they were practicing at least one sport or not; b˚ (162.2 ± 23.9) cm in the 14 students who declared themselves not to be sportspersons; c˚ (161.5 ± 72.8) cm in the 13 students who declared themselves to be practitioners of at least one sport; d˚ (160.4 ± 49.1) cm in all the 42 students, independently of whether they have pronounced themselves about their participation in sports activities or not.

2˚ mean weight ± variance has been a˚ (51.8 ± 59.6) kg in the 14 students who failed to provide the information whether they were practicing at least one sport or not; b˚ (59.4 ± 123.3) kg in the 13 students who declared themselves not to be sportspersons; c˚ (52.4 ± 51.5) kg in the 12 students who declared themselves to be practitioners of at least one sport; d˚ (54.5 ± 86.7) kg in all the 39 students, independently of whether they have pronounced themselves about their participation in sports activities or not.

3˚ mean BMI ± variance has been a˚ (19.4 ± 36.1) kg∙m^{−2} in the 15 students who failed to provide the information whether they were practicing at least one sport or not; b˚ (22.6 ± 14.9) kg∙m^{−2} in the 13 students who declared themselves not to be sportspersons; c˚ (19.9 ± 2.3) kg∙m^{−2} in the 12 students who declared themselves to be practitioners of at least one sport; d˚ (20.6 ± 20.2) kg∙m^{−2} in all the 40 students, independently of whether they have pronounced themselves about their participation in sports activities or not.

4˚ mean ectomorphy rating ± variance has been a˚ 2.5 ± 2.3 in the 14 students who failed to provide the information whether they were practicing at least one sport or not; b˚ 2.2 ± 2.3 in the 13 students who declared themselves not to be sportspersons; c˚ 3.2 ± 0.9 in the 12 students who declared themselves to be practitioners of at least one sport; d˚ 2.6 ± 1.9 in all the 39 students, independently of whether they have pronounced themselves about their participation in sports activities or not.

c) In male and female students pulled together

1˚ mean height ± variance has been (168.1 ± 87.4) cm in all the 98 measured subjects; 2˚ mean weight ± variance has been (59.1 ± 92.3) kg in all the 90 measured subjects; 3˚ mean BMI ± variance has been (20.6 ± 12.1) kg∙m^{−2} in all the 91 measured subjects; and 4˚ ectomorphy rating ± variance has been 3.2 ± 2.2 in all the 90 measured subjects.

The proportions of adults of adults (18 years and older) suffering from underweight and concerned by the present study evidence thus a health situation that, 1˚ in males, a˚ is serious (25.0%) in subjects who declared not to be sportspersons; b˚ is bad (15.6%) in subjects who declared to be sportspersons; and c˚ is bad (15.7%) in all the male subjects, whether they have pronounced themselves or not about their participation in sports activities; 2˚ in females, a˚ is bad (14.3%) in subjects who did not pronounce themselves about their participation in sports activities; b˚ is bad (15.4%) in subjects who declared themselves not to be sportspersons; c˚ requires observation (8.3%) in subjects who declared themselves to be sportspersons; and d˚ is bad (12.8%) in all the female subjects, whether they have pronounced themselves or not about their participation in sports activities; 3˚ in all males and all females pulled together, is bad (14.4%). However, sports practice could improve the situation at the population level, even if at the individual level, BMI values seem to improve in males but to worsen in females.

Seventy kilograms of the physiologists adult male [

Because 1˚ in general, the tendency has been toward more similar physiques within sports but toward very different physiques between sports [

Not applicable.

Tshibangu, A.M.N. (2017) Health Concerns and Talented Sportspersons Identification Derivable from Height, Weight, Body Mass Index and Ectomorphy Rating Mean Values in Democratic Republic of the Congo (DRC) 2016-2017. Open Access Library Journal, 4: e3915. https://doi.org/10.4236/oalib.1103915