International Journal of Community Medicine and Public Health

Monisha K et al. Int J Community Med Public Health. 2024 Jun;11(6):2262-2266

http://www.ijcmph.com

pISSN 2394-6032 | eISSN 2394-6040

Physical activity levels and junk food intake among female undergraduate students in Mandya: a cross sectional study

Monisha K.*, Poornima S., Vinay M.


Department of Community Medicine, Mandya Institute of Medical Sciences, Mandya, Karnataka, India

Received: 23 April 2024

Accepted: 13 May 2024

*Correspondence:

Dr. Monisha K.,

E-mail: monishaspm2022@gmail.com

Copyright: © the author(s), publisher and licensee Medip Academy. This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

ABSTRACT

Background: Physical activity (PA) is defined as any bodily movement produced by skeletal muscles that requires energy expenditure. It has been proven that regular physical activity helps control and prevent noncommunicable diseases like diabetes, heart disease, stroke, and several types of cancer. This study aimed to describe the levels of physical activity among female undergraduate students in Mandya and to assess their knowledge, attitude and practice regarding junk food habits.

Methods: This cross-sectional study was done in Government women’s degree college, Mandya district, South Karnataka between November 2023 to December 2023 among female undergraduate students in the institute. Global physical activity questionnaire (GPAQ) has been used to describe their physical activity levels. Descriptive statistics like frequency, proportion, mean and standard deviation has been used.

Results: The study was conducted among 170 students. Based on the MET values it is found that majority of them had moderate level of PA 81 (47.6%), while 39(22.9%) had high levels and 50 (29.4%) had low PA levels. Of 170 participants, 43 (25%) had junk food intake once a week, 46 (27%) had twice a week, 81 (48%) had thrice or more per week. The association between PA level and junk food was found to be statistically significant (p<0.05).

Conclusions: The findings of this study help us in understanding the importance of adopting a healthy lifestyle, including a balanced diet and regular physical activity practice.

Keywords: Exercise, Global physical activity questionnaire, Junk foods, Physical activity, Lifestyle diseases

INTRODUCTION

Physical activity is defined as any bodily movement produced by skeletal muscles that requires energy expenditure and refers to all movement including during leisure time, for transport to get to and from places, or as part of a person’s work. As per World Health Organization recommendations, adults aged 18-64 years should engage in at least 150-300 minutes of moderate-intensity aerobic physical activity or 75-150 minutes of vigorous-intensity aerobic physical activity per week, or an equivalent combination of moderate- and vigorous-intensity activity.1

Physical inactivity and unhealthy diets were the two most common risk factors for noncommunicable diseases (NCD). Worldwide about 74% and in India, about 66% of deaths were due to noncommunicable diseases.2,3 People who are insufficiently active have a 20% to 30% increased risk of death compared to people who are sufficiently active.1

Between 2001 and 2016, insufficient activity increased by 5%, from 31.6% to 36.8% in high-income nations.1 Worldwide around one-third of women and one-fourth of men lack enough physical activity in order to remain healthy. In 2016, 28% of adults aged 18 and up were not physically active enough, among them 23% of them were males and 32% were females.1 In India, 25% of males and 44% of females aged more than 18 years were physically inactive.2

Junk food is defined as, any food, which is low in essential nutrients such as proteins, vitamins or minerals and high in salt, sugar, fats and calories. Highly salted like chips, high in refined carbohydrates with zero calories like candy, soft drinks and high in saturated fats like cake and chocolates were few examples for junk foods.4

An energy imbalance between calories expended and calories consumed, which results from an increase in energy-dense foods high in fat and sugar, as well as an increase in physical inactivity brought on by a shift in transportation options, an increasingly sedentary workforce, and growing urbanization, is the cause of obesity and overweight. Overall, about 13% of the world’s adult population (11% of men and 15% of women) were obese in 2016 and worldwide prevalence of obesity nearly tripled between 1975 and 2016.5

Physical activity levels and prevalence of obesity differ by gender among adolescents. Globally, 84.7% of adolescent girls and 77.6% for boys do not meet World Health Organization recommendations for physical activity.6 This pattern of behaviour is common among female adolescents worldwide, and more effective NCD prevention strategies for this group are needed. This research will be crucial in creating targeted interventions to promote healthier lifestyles among female undergraduate students and to empower young women to make educated choices that benefit their long-term health.

Metabolic equivalent task (MET) is a method of estimating the intensity of physical activity. Every activity has a specific MET value based on its energy requirements. One MET is the amount of energy used while sitting quietly. The product of the MET value of the activity and the amount of time spent performing that activity yields MET-minutes.7

Recognizing the pivotal role of physical activity and dietary habits in shaping overall well-being, this research proposal aims to investigate the relationship between physical activity levels and junk food intake among female undergraduate students in Mandya.

This study aimed to describe the levels of physical activity among female undergraduate students and to assess their knowledge, attitude and practice regarding junk food habits.

METHODS

Study design and study population

This cross-sectional study was carried out in Government women’s degree college in Mandya district, South Karnataka between February to March 2023. The study subjects were female undergraduate students.

Inclusion criteria

A purposive sample consisting of all students studying Bachelor of Arts (BA), Bachelor of Commerce (B. Com), or Bachelor of Science (B. Sc) degrees in the colleges and those willing to give informed consent was enumerated and included in the study were included in the study.

Exclusion criteria

Students who were under 18 years of age which is below the legal age for giving consent, those with limitation in their physical functioning and students who are not available even after 3 visits has been excluded from the study.

Data collection tool

Interview method using a pretested questionnaire having parts. The first part will collect general information like Name, age, sex, etc. The second part will collect information of their physical activity using Global physical activity questionnaire (GPAQ). GPAQ is a self-reported questionnaire which had three domains: activities at work, travelling activities and recreational activities.

The energy use of each physical activity domain was calculated as metabolic equivalent (MET)-min/week. There are different levels of physical activity assigned by the GPAQ creators that consist of low, moderate and high physical activity levels.

GPAQ total of greater than or equal to 3000 MET min/week was high category. GPAQ total ranging from 600-2999 MET minutes/week was moderate category. GPAQ total below 600 MET minutes/week was low category.

For the calculation of physical activity, the following MET values are used: 1) Walking MET value = 3.3, 2) Moderate MET value = 4.0 and Vigorous MET value = 8.0.

Total physical activity is calculated by summing up walking, moderate and vigorous MET values. The third part will collect information of their knowledge, attitude and practices regarding junk foods.

Data analysis

All the collected data were entered in a Microsoft Excel sheet and the data was statistically analysed by using Statistical Package for the Social Sciences Software (IBM- SPSS trial version 22). Descriptive statistics like frequency and proportion for categorical data and mean and standard deviation for continuous data were used.

The chi-square test was used to find the association. A p-value of < 0.05 is considered statistically significant.

RESULTS

A total of 170 students have participated in the study. The majority of them have a moderate level of physical activity 81 (47.6%), while 39 (22.9%) of the students reported that they had high level of physical activity and 50 (29.4%) had low physical activity level (Table 1).

Table 1: Different levels of PA among the study participants.
Table reproduced from source PDF page 3

The mean age of respondents was 21.44±2.86 years. The mean time spent in sedentary behavior was about 6 hours and 36 minutes. Among the participants, 12.4% were overweight and 19.4% were obese (Figure 1).

Figure 1: Body mass index of the participants. | 23 , 14% 21, 12% 33 , 19% 93 , 55% UNDERWEIGHT OVERWEIGHT OBESE NORMAL
Figure 1: Body mass index of the participants.

Table 2 shows the knowledge, attitude and practices among the study participants regarding junk foods. 164 (96.5%) of them knew about junk food and 131 (77%) of them were aware of harmful effects of junk food. 99 (58%) of participants felt junk foods as habit forming and 87 (51%) of them consume junk foods due to its taste.

Table 2: Knowledge, attitude, practice regarding junk foods among the study participants (n=170).
Table reproduced from source PDF page 3, part 1 of 2
Table reproduced from source PDF page 4, part 2 of 2

Of 170 participants, 43 (25%) had junk food intake once a week, 46 (27%) had twice a week, 81 (48%) had thrice or more per week (Figure 2).

Figure 2: Frequency of junk food intake among the study participants. | 43 ( 25% ) 46 ( 27% ) 81 ( 48% ) Once Twice Thrice or more
Figure 2: Frequency of junk food intake among the study participants.

Among those who were having junk food for thrice or more per week, 37 (46%) had low PA. The association between PA level and junk food was found to be statistically significant (p<0.05) (Table 3).

Table 3: Association between PA and junk food intake.
Table reproduced from source PDF page 4

χ2 =44.142, df = 4, p<0.00

DISCUSSION

The purpose of the study was to evaluate the level of physical activity among female undergraduate students using global physical activity questionnaire (GPAQ) developed by World Health Organization (WHO). In our study physical activity of the participants was calculated in terms of moderate and vigorous intensity in three domains work, travel to and from places and leisure time. At work, 17% of the study participants vigorous intensity and majority 72% were active for moderate intensity, which involved brisk walking between two lecture rooms spaced out in the campus. 68% of the study participants were found to be active in the travel domain. Majority of them used walking as a mode of transport. In leisure time 23% of participants were vigorously active and 50% were moderately active.

The study participants were further divided into low active, moderately active and highly active on the basis of MET minutes. The majority of them have a moderate level of physical activity 81 (47.6%), while 39 (22.9%) of the students reported that they had high level of physical activity and 50 (29.4%) had low physical activity level.

Many studies have been done in adolescents and adults who have shown mixed results about physical activities of moderate and vigorous intensity in various domains. In a study, 53% of adolescents had a moderate level of physical activity (n= 421), while 23% of the students reported that they had high level of physical activity and 24% had low physical activity level. The highest percentage of adolescents were found to consume at least one or the other form of junk food, at least once a week, either in the form of soft drinks or street food or fast food (29.3%). They found a highly statistically significant association (p<0.05) between physical activity level and junk food.8

A study done in Bangalore, the prevalence of high levels physical activity among adolescents was found to be 41.3%. 43.2% and 15.4 % of students showed moderate level and low level of physical activity respectively. The average time spent in sitting was 7.06 hrs/day.9 Similar study conducted in Pune, found that 26.76% were inactive, maximum 62.53% of the study participants belonged to low physical activity, 10.14% were moderately active and only 0.81% was highly active.10

It is observed that the high consumption of foods with higher energetic density, rich in fats and refined sugars, is directly associated to the increase of lipogenesis, the secretion of very low-density lipoproteins, and the reduced oxidation and greater accumulation of fatty acids in the tissues and blood.11 A study in Kolkata showed that, most of the study participants (82.02%) had consumed junk food in last 7 days and 10.96% had taken junk food >3 times in last week. Among the participants 22.47% adolescents were in overweight category.

CONCLUSION

This study highlights the pattern of physical activity among female undergraduate students in Mandya and to assess their knowledge, attitude and practice regarding junk food habits. About one third of the participants had low physical activity and one half of participants reported increased frequency of junk food intake i.e., thrice a week or more. Sedentary behaviour seen in these study participants also needs to be altered.

Recommendations

Encouraging regular physical activity, promoting a balanced diet and advising participants to reduce junk food intake for their improved overall health and well-being. Creation of walking paths, cycling paths, parks and similar social activity areas in cities will promote regular physical activity of adolescents. Large scale media campaigns delivering messages on health promotion through physical activity and balanced diet can be done via radio, television, newspaper and social media.

Funding: No funding sources

Conflict of interest: None declared

Ethical approval: The study was approved by the Institutional Ethics Committee

REFERENCES

  1. 1. World Health Organization. Physical activity, 2022. Available at: https://www.who.int/news-room/fact-sheets/detail/physical-activity. Accessed on 2 December 2023.
  2. 2. World Health Organization. Physical activity India 2022 country profile, 2022. Available at: https://www.who.int/publications/m/item/physical-activity-ind-2022-country-profile. Accessed 2 December 2023.
  3. 3. World Health Organization. Noncommunicable diseases, 2023. Available at: https://www.who.int/health-topics/noncommunicable-diseases#tab=tab_1. Accessed 2 December 2023.
  4. 4. Centre for Science and Environment. Nutritional Analysis of Junk Food, 2022. Available at: https://cdn.cseindia.org/userfiles/Nutritional_Analysis_Junk_Food.pdf. Accessed 2 December 2023.
  5. 5. World Health Organization. Obesity and overweight, 2021. Available at: https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight. Accessed 2 December 2023.
  6. 6. World Health Organization. 5 85% of adolescent girls don’t do enough physical activity: new WHO study calls for action, 2022. Available at: https://www.who.int/europe/news/item/04-03-2022-85-of-adolescent-girls-don-t-do-enough-physical-activity-new-who-study-calls-for-action. Accessed 2 December 2023.
  7. 7. Shah JN, Berry AK. Assessment of physical activity and sedentary behaviour in bachelors of computer science students using Global Physical Activity Questionnaire version 2: A cross-sectional study. Int J Commu Medi Publ Heal. 2020;7(8):3237-43.
  8. 8. Ahmad S, Ansari MA, Abedi AJ, Khalil S, Eram U, Khan MNA. Physical activity levels and junk food intake among school going adolescents in a north Indian city. Ind J Com. Health. 2023;35(2):182-6.
  9. 9. Padmapriya K, Krishna P, Rasu T. Prevalence and patterns of physical activity among medical students in Bangalore, India. Electro Physi. 2013;5(1):606-610.
  10. 10. Shah JN, Berry AK. Assessment of physical activity and sedentary behaviour in bachelors of computer science students using global physical activity questionnaire version 2: a crosssectional study. Int J Community Med Publ Heal. 2020;7(8):3237-43.
  11. 11. Rauber F, Campagnolo PD, Hoffman DJ, Vitolo MR. Consumption of ultra-processed food products and its effects on children’s lipid profiles: a longitudinal study. Nutr Metab Cardiovasc Dis. 2015;25(1):116-22.
  12. 12. Manna N, Banerjee S, Panchanan P, Das Mazumdar S. An epidemiological study on junk food consumption and nutritional status among adolescents attending Medical College and Hospital, Kolkata. Natl J Physiol Pharm Pharmacol. 2023;13(7):1554-8.