INTRODUCTION:

Physical inactivity has a major donor to mortality. It has been reported that around 3.2 million deaths per year are attributable to physical inactivity (World Health Organization, 2020). Many non-communicable chronic health conditions prevailing in both developed and developing countries are linked with physical inactivity. Five leading risk factors for death are smoking, high blood glucose, high blood pressure, physical inactivity and obesity. A glance at these risk factors reveals that high blood pressure and glucose levels as well as obesity are connected with physical inactivity (Taylor, 2014). Physical inactivity increases the risk of many challenging health conditions, which include the non-communicable disease which is prevailing throughout worldwide is non communicable diseases like coronary heart disease, type 2 diabetes mellitus, breast and colon cancers, and shortens life expectancy. The main cause of these diseases is one and only that much of the world’s population is sedentary, this shows a major public health problem. The impact of physical inactivity on these major Non communicable diseases by estimating how much disease could be avoided if those inactive people were to become active and to estimate gain in life expectancy, at the population level. if it is seen Globally, It is estimated that persons those who are sedentary is responsible for 6% of the burden of disease from CHD, 7% of type 2 diabetes, 10% of breast cancer and 10% of colon cancer. Inactivity is responsible for 9% of premature mortality as 57 million deaths that occurred worldwide in 2008. If inactivity were not eradicated, but cut short instead by 10% or 25%, >533,000 and >1.3 million deaths, respectively, may be prevented each year. By eliminating physical inactivity, life probability of the world’s population is estimated to increase by 0.68 (0.41 to 0.95) years. Physical inactivity has a major health impact globally. Eradication of physical inactivity would remove between 6% and 10% of the major NCDs of CHD, type 2 diabetes, and breast and colon cancers, and increase life expectancy (Lee et al., 2012). Protein is a class of nitrogen-containing compounds formed by amino acids. (Wilmore & Costil, 2004). Protein unlike carbohydrates and fats contains nitrogenous in summation to carbon, oxygen and hydrogen. Each and every cell requisite protein. factually, Protein are found throughout the entire body with muscle tissue being the major

of load-induced skeletal muscle mass is leading the development of pharmaceutical interventions to promote muscle growth in those unwilling or unable to perform resistance exercise (Marcotte et al., 2015). Exercise prompts similar signaling and genetic factor expression profiles in skeletal muscle of untrained or recreationally active individuals, what is currently unclear is how the specificity of the molecular response is modified by prior training history skeletal muscle and evidence for the interference effect with contemporaneous training within the framework of the specificity of training adaptation (Coffey & Hawley,2017). Authorities generally conduct acknowledge that the normal body weight between ages of 25 and 30 years should not be exceeded throughout life. A weight in excess of 15 percent of that is considered as normal would be considered tending toward obesity whereas 25 percent above normal is grossly obese. Body mass index (BMI) is now the most widely used clinical standard to estimate underweight, normal weight, overweight and obesity. To determine a person’s BMI, body weight in kilograms is divided by the square of body height in meters’kg/m 2 (Wilmore & Costil,2004).

TABLE 1.1 Classification of overweight and obesity by BMI

Even though BMI cannot be technically classified as a body composition measurement method it has revived widespread use with adults for clinical and epidemiological assessment. the BMI requires only of height and weight for its measurement it is well-defined as body weight divided by the square of the height expressed in kg/m2. The development of BMI norms from large data bases permits the classifications of individuals into categories of underweight, normal weight and overweight and obese. (Koley, 2006).

MATERIALS AND METHODS

In this chapter, the procedure adopted for the selection of subjects, selection of variables, criterion measure, instrument used,

to stand on the machine with bare foot on particular sites and further advised to hold the electrodes in both hands with arms straight and asked to stand on that site for 15 seconds. All the measurements were taken with the help of lab technician.

Scoring: After the automatic calculation, machine printed out a paper and score was written on that slip

Range: The normal range for total protein is between 6 and 8.3 grams per deciliter(g/dL).

Scoring: After the automatic calculation, machine printed out a paper and score was

written on that slip. 

Range: 4% of our body mass in combination with other nutrients.

Statistically analysis:

After the collection of relevant data, it was processed and analysed with descriptive statistics.

To compare the body composition (body fat, protein, and salt) of subjects, mean, standard deviation and t-test was use with the help of statistical package of SPSS.

Results of the study are summed up in following tables and figures discussed as required.

TABLE;1 Mean and standard deviation of male’s body fat of throwers and jumper

df= 18  Tabulated value- 1.734

p-value= 0.0252

Figure: 1 Mean and standard deviation of male’s body fat of throwers and jumper

FIGURE;3 Mean and standard deviation of male’s salt of throwers and jumper

Table and figure 3 statically show that the mean and standard deviation with regard to male’s thrower is 5.5490±1.3444 Where as in case of jumper is 4.9460±1.0503 respectively. The t-value is 1.1177. The p-value is .0.2784. The degree of freedom is 18 and tabulated value is 1.734. The result is no significant difference between thrower’s and jumper’s level of salt.

Result

1. In terms of Body fat – there is a significant difference between throwers and jumper’s body fat.
2. If we talk about Protein – there is a significant difference between throwers and jumper’s level of protein in body.
3. In terms of Salt – there is a no significant difference between throwers and jumpers’ level of salt in body.

DICUSSION AND FINDING

BODY FAT

The result of the study established that there was statistically significant difference in body fat variable between throwers and jumpers of Punjabi university Patiala. On the basis of analysis of the data, investigator found that the earlier study of (Baumgartner,R. N.2000)supported the present study.

PROTEIN

The result of the study established that there was statistically significant difference in protein level in body between throwers and jumpers of Punjabi university Patiala. On the basis of analysis of the data, investigator found that the earlier study of (Baumgartner,R. N.2000) supported the present study.

SALT