CORRELATION BETWEEN PHYSICAL ACTIVITY AND ANTHROPOMETRIC MEASURES IN YOUNG ADULTS.

Dr. Twinkle Karia 1 and Dr. Sukhada Prabhu 2 . 1. B.P.Th, D.Y. Patil University, School Of Physiotherapy, Nerul, Navi Mumbai, Maharashtra. 2. M.P.Th in Cardio Vascular and Respiratory Physiotherapy, Department Of Kinesiotherapeutics, Assistant Professor, D.Y. Patil University, School Of Physiotherapy, Nerul, Navi Mumbai, Maharashtra. ...................................................................................................................... Manuscript Info Abstract ......................... ........................................................................ Manuscript History Received: 06 April 2019 Final Accepted: 08 May 2019 Published: June 2019


ISSN: 2320-5407
Int. J. Adv. Res. 7 (6), 286-302 287 Physical activity can be assessed using direct and indirect ways. Direct method includes pedometers, accelometers whereas indirect assessment of Physical activity includes various scales such as International Physical activity questionnaire (IPAQ), Global Physical Activity Questionnaire (GPAQ), Physical Activity readiness (PAR), Duke's, etc. IPAQ is a self-administered questionnaire which has acceptable validity when assessing levels and patterns of physical activity in healthy adults. IPAQ is used to measure physical activity in adults ranging from 15 to 69 years of age. There are two forms of IPAQlong form and short form. There are 7 questions in short form and 27 questions in long form. Physical inactivity results in abnormalities of various body compositions.
Anthropometric measures involve systemic body composition measurements. There are various methods of assessing body compositions such as calculation of BMI, waist circumference, Skinfold thickness, mid arm circumference, waist to hip ratio, hydrostatic weighing, etc. Body mass index roughly measures your body fat. It is an easy and zero cost self-administered method and hence it is widely used. Waist circumference (WC) measures central obesity. For measuring abdominal obesity, WC is the best indicator as compared with waist to hip ratio. [2] Skinfold measurements are utilized to assess body composition. Once caliper is bought, test costs are minimal. A study carried out by Gregory L. Stalker in 2011 approved by UNLV Biomedical institutional review board suggests that the results of the study has demonstrated the Body Caliper to be a reliable and valid instrument and method for evaluating body composition. [3] In order to measure body fat percentage using skinfold caliper, Jackson Pollock calculator can be used. It calculates body fat percentage using formula that is separate for male and female. There are various methods namely-3 site method, 7 site method, etc. Estimation of body fat percentage using the Pollock 3-site method has comparable accuracy. [4] Body compositions can be categorized as underweight, normal or obese. But renowned obesity is noticed in younger adults due to physical inactivity and sedentary lifestyle. Accumulation of excessive or abnormal fat that presents a risk to health is defined as Obesity. [5] As a result of sedentary lifestyle, physical activity is decreasing drastically among younger adults. Over the past decades, burden of obesity has increased rapidly. [6] In many parts of the world, it is endemic. Obesity is most neglected though blatantly visible public health problems. [7] A study carried out by Dr. pinnamaneni Siddhartha, India in population ≥20 years of age suggested that prevalence of generalized, abdominal and combined obesity was 56%, 71.2% and 51.3% respectively. [8] Most of the individuals in India are inactive. Physical inactivity and Obesity can result in various complications such as high blood pressure, diabetes, cancer, depression, etc. Hence, it's high time we focus on these risks and assess correlation between physical activity and various anthropometric measures.
Thus, this study would help us find levels of physical activity and anthropometric measures like Body mass index (BMI), waist circumference and body fat percentage in younger adults and it would help us assess correlation between them. WHO suggests that Regular and adequate levels of physical activity in adults would: 1. reduce the risk of the risk of falls hypertension, diabetes, coronary heart disease, stroke; 2. improve functional health and bone density; and 3. Improve fundamental to energy balance and weight control, acting as key determinant of energy expenditure.
Hence, finding relation between these components would help us find risk factors and create awareness about being physically active and have a healthy lifestyle.

Aim:
To assess correlation between physical activity and anthropometric measures in young adults.

Objectives:
1. To assess Physical activity using IPAQ in young adults 2. To assess BMI and waist circumference in young adults. 3. To assess body fat percentage with skinfold caliper using Jackson Pollock calculator in young adults. 4. To correlate physical activity and anthropometric measures.

Material and Methodology:-
A written consent was be taken by the individual participating in the study. A proforma including demographic details such as name, age, gender, weight, height, etc. was prepared. An ethical clearance was obtained from the 288 institution. The study was conducted on 80 subjects between 17 to 22 years of age. The subjects belonged to D.Y. Patil School of Physiotherapy, and various societies of Kandivali.

Assessment of Physical Activity
In order to measure the level of physical activity, a standard and validated questionnaire called international physical activity questionnaire (IPAQ) was used. The IPAQ consists of 5 domains and has 27 questions. The domains of the questionnaire are as follows: 1. Part 1-job related physical activity 2. Part 2-transportation physical activity 3. Part 3-housework, house maintenance and caring for family 4. Part 4-recreation, sport and leisure-the physical activity 5. Part 5-Time spent sitting Scoring of IPAQ was done following IPAQ standard scoring protocol and were classified as Low, Moderate or High levels of Physical Activity.

Anthropometric measures
BMI-height was measured using measuring tape in cms and weight using calibrated weighing scale in kgs. BMI = M / (H x H), where M = body mass in kilograms and H = height in meters.
Waist circumference -was measured at the midpoint between the lower margin of the least palpable rib and the top of the iliac crest. [9] The subjects stood with feet close together, arms at the side and body weight evenly distributed. The subject was relaxed, and the measurements were taken at the end of a normal expiration. Each measurement was repeated twice; the average was calculated. If the difference between the two measurements exceeded 1 cm, the two measurements were repeated. [9] Skinfold caliper was used to measure the body fat percentage. A study carried out by Gregory L. Stalker suggests that the results of the study has demonstrated the Body Caliper to be a reliable and valid instrument and method for evaluating body composition. [10] 3 site method was used. It was done on the right side of the body following protocol at 3 sites, namely: Procedure:-Subject's skin was firmly grasped between thumb and index finger and lifted up. The skinfold included two thicknesses; one of skin and one of the subcutaneous fat, but no muscle or fascia. Caliper was placed at a 90 degree angle to the skinfold approximately 1cm below the fingers. Slightly the pressure between the fingers was released, holding the skinfold, greater pressure was applied by the caliper. Releasing the pressure, reading was taken. Three readings were taken and average was used for the further study.

Statistical data presentation and analysis
All the statistical analysis was done using SPSS version 22.0 for windows. Pearson correlation test was done. A p value of <0.05 was considered statistically significant.

Inference:
As per the pie chart, out of the total subjects, 73% subjects were females and 28% of subjects were male.

Inference:
As per the graph, correlation between Physical activity and Body mass index (BMI) for both males and females is non-significant but there exists a direct correlation between them.

Inference:
As per the graph, correlation between Physical activity and waist circumference for both males and females is nonsignificant but there exists a direct correlation between them.

Inference:
As per the graph, correlation between Physical activity and Body fat percentage for both males and females is nonsignificant but there exists an inverse correlation between them in males and direct correlation between them in females.

Inference:
As per the graph, correlation between Physical activity and Body Density for both males and females is nonsignificant but there exists a direct correlation between them in males and inverse correlation between them in females.

Inference:
As per the graph, correlation between Physical activity and Age for both males and females is non-significant but there exists a direct correlation between them. According to body fat percentage, distribution, graph 5 shows that maximum percentage of subjects: male (40.91%) and females (56.90%) are considered to have average body fat percentage, followed by 31.82% of males and 24.24% of females concluded to be obese. 9.09% of males and 5.17% of females fall under athletes category, 18.18% of males and 13.79% of females are observed to have fat percentage that concludes them to be fit. High percentage of population belonging to obese category could be attributed to genes, sedentary lifestyle, poor eating habits like consumption of high carbohydrates and high fat food, lack of exercise, etc.

Discussion:-
Graph number 6 shows the distribution according to levels of Physical Activity, which suggests that 63.64% of males and 70.69% of females are observed to have moderate levels of Physical Activity, followed by 27.27% of males and 20.69% of females are observed to have low levels of Physical Activity and 9.09% of males and 8.62% of females are observed to High levels of Physical Activities. The majority subjects had moderate or low levels of physical activity; this could be because of sedentary lifestyle, unhealthy eating habits, unaware about importance of being physically active, risk factors associated with decreased levels of physical activity, etc.
Correlation between Physical Activity and Various Anthropometric Measures were observed. Graph number 7 shows that Correlation between Physical activity and Body mass index (BMI) for both males and females is nonsignificant (p=0.824 in males and p=0.454 in females) but there exists a direct correlation (Pearson correlation= 0.050 in males and 0.100 in females) between them which means that as Physical activity increases, body mass index also increases. The correlation between them could be non-significant as majority of subjects taken for this study have normal BMI. Leila Jaafari suggests that all Physical fitness factors (PFF) like aerobic fitness, abdominal Muscles endurance, and feet muscles explosive strength, except flexibility, are in inverse correlation with BMI so that any increase in some PFF would lead to some decrease in BMI. [11] Graph number 8 shows that Correlation between Physical activity and waist circumference for both males and females is statistically non-significant (p=0.861 in males and p=0.620 in females) but there exists a direct correlation (Pearson correlation=0.040 in males and Pearson correlation=0.067 in females) between them which means that as Physical activity increases, waist circumference increases. This could again be because most of our subjects have normal BMI and thus are at lower risk of getting cardiovascular disorders.
Graph number 9 shows that Correlation between Physical activity and Body fat percentage for both males and females is non-significant (p=0.739 in males and p=0.615 in females) but there exists an inverse correlation between them in males (Pearson correlation=0.075) and direct correlation (Pearson correlation=0.67) between them in females. The correlation in males suggests that as physical activity increases, body fat percentage decreases, this is 299 because among male subjects majority males have average body fat percentage and the correlation is non-significant because the number of sample taken for the study are less and maximum have normal BMI. The correlation between Physical activity and body fat percentage in females is statistically non-significant and they have a direct correlation which means that as physical activity increases, body fat percentage also increases. This could be because majority of subjects taken for this study have normal BMI and moderate levels of physical activity. Body fat percentage may decrease with increasing physical activity because of excessive calories expenditure with increasing bodily activities, better fat metabolism, etc.
Graph number 10 shows that Correlation between Physical activity and Body Density for both males and females is non-significant (p=0.713) in males and (p=0.618) in females but there exists a direct correlation (Pearson correlation=0.083) between them in males and inverse correlation (Pearson correlation=0.067) between them in females. Body density is how much space you take up for every square inch you weigh, essentially your compactness. [12] Direct correlation between them in males suggests that as physical activity increases, body density also increases and inverse correlation between them suggests that as physical activity increases, body density decreases. The non-significance could be because of smaller sample size and unequal distribution of males and females and also because majority of the subjects have normal BMI and majority have moderate levels o f physical activity.
Graph number 11 shows that Correlation between Physical activity and Age for both males and females is nonsignificant (p= 0.402 in males and p=0.150 in females but there exists a direct correlation (Pearson correlation=0.188 in males and Pearson correlation=0.191 in females) between them. Direct correlation between Physical activity and age in males and females suggests that physical activity increases with age. As responsibilities increases with increasing age, so does the amount of duties like earning for family, cooking, marketing, doing various household chores like sweeping, dusting, brooming, etc. traveling to and fro places; which may lead to increase in Physical activity. Hence, it can be justified that as Physical activity increases with increasing age.
A study carried out by Int J Yoga suggested that physical activity alone cannot maintain BMI and body fat percent, but it can reduce the risk of overweight and high body fat percent in the population. [13] Individuals who are overweight and obese may have decreased levels of physical activity and greater waist circumference and body fat percentage. Thus, importance of Physical activity, its advantages, correlation with anthropometric measures should be studied and efforts should be taken towards healthy lifestyle.
Conclusion:- 1. Physical activity v/s BMI-correlation between Physical activity and Body mass index (BMI) for both males and females is statistically non-significant but there exists a direct correlation between them. 2. Physical Activity v/s Waist circumference -correlation between Physical activity and waist circumference for both males and females is statistically non-significant but there exists a direct correlation between them. 3. Physical activity v/s Body fat percentage-correlation between Physical activity and Body fat percentage for both males and females is statistically non-significant but there exists an inverse correlation between Physical activity and body fat percentage in males and direct correlation between physical activity and body fat percentage in females. 4. Physical activity v/s Body Density -Correlation between Physical activity and Body Density for both males and females is statistically non-significant but there exists a direct correlation between Physical activity and body density in males and inverse correlation between Physical activity and Body density in females. 5. Physical activity v/s Age -correlation between Physical activity and Age for both males and females is statistically non-significant but there exists a direct correlation between them.
Limitations:-1. Small sample size 2. Non uniform distribution of population as Females were more than males. 3. Improper distribution of BMI as majority samples belonged to normal body mass index.

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