Neighborhood Fast-food availability and Fast-food consumption among Households
Karpagavalli. R1, Dr. Nanthini. T2
1M.Sc Nursing, Mother Theresa Post Graduate and Research Institute of Health Sciences, Puducherry, India.
2Associate Professor, Department of Community Health Nursing, Mother Theresa Post Graduate and Research Institute of Health Sciences, Puducherry, India.
*Corresponding Author E-mail: nandhinilecturer@gmail.com
ABSTRACT:
Background: Obesity is currently a major public health issue in all over the world. Food is important for survival. Consumption of fast foods has become almost a global phenomenon. India’s fast-food industry is expanding at the rate of 40% every year. India ranks 10th in the fast-food per capita spending with 2.1% of expenditure in annual total spending1. Aim: The aim of the study was to identify the level of knowledge, attitude and practice regarding Neighborhood fast food availability and fast-food consumption among households in selected urban area, in Puducherry”, to find out the correlation between knowledge and attitude regarding neighbourhood fast food availability and fast-food consumption among households and to find association of level of knowledge and attitude regarding neighbourhood fast food availability and fast-food consumption among households with selected demographic variables. Subjects and Methods: A descriptive cross sectional research was conducted among 50households in Lawspet area Puducherry, by convenience sampling technique, quantitative approach. Data was collected by using self-structured questionnaire developed by the investigator. Interview method was used to collect socio demographic data and to assess the level of knowledge, attitude and practice regarding Neighborhood fast food availability and fast-food consumption. Results: The study result shows that 50 households out of 34(68%) had moderate knowledge, 35(70%) had positive attitude, 21(42%) of them prefer favourite fast-food place is road side shop/restaurants, 2(40%) used to spend on fast food daily a average amount of above Rs.80 and 31(62%) were aware about fast foods through advertisement, social media and by the newspaper. Conclusion: The study concluded that households in urban area prefer fast food that there was a moderate knowledge, had positive attitude, eat fast food few times a month, favourite fast-food place prefer at road side shop/restaurants, Everyone spend Rs. 80/- on fast food daily aware about fast foods consumptions and In effect but prefer more fast food leads obesity. Community health nurse play effective role in teaching public about the effect of fast-food consumption and avoidance of fast foods. Researcher created awareness to to avoid fast foods and fast-food consumption to all households by distributing pamphlets.
KEYWORDS: Neighborhood Fast Food, Fast-Food Consumption.
INTRODUCTION:
Fast food’ is the term given to food that can be prepared and served very quickly1. Typically, it means any food that sold in a restaurant with low preparation time and can be given to the customer for take away. So, it mainly designed for its quick availability. These are specialized products such as hamburgers, pizzas, fried chicken or sand witches. It can be categorized as Junk Food (JF). According to National Institute of Nutrition (NIN), JF are classified as food products which are high in salt, sugar, fats and energy (calories) and contain little or no proteins, vitamins or minerals1. Indian street food is famous all over the world because of its delectable taste, variety, and easy accessibility. Indian fast food or street food can be found in every part of the country with its own special touch. Not only among Indians, but foreigners are also a die-hard fan of Indian fast food2. There is a rising trend among the newer generation about fast food culture. Elder people are more fascinated about healthy foods as compared to adolescents. College students are vastly exposed to harmful eating practices causing increased body weight2.
NEED FOR THE STUDY:
In worldwide Most Americans eat fast food 1-3 times a week. Statistics survey conducted by the National Canter for Health Statistics from Center for Disease Control shows that a little over one-third (36.6%) of adults in America eat fast food on any given day. That’s about 84.8 million adults eating fast food every day, 44.9% of Americans aged 20-39 eat fast food on any given day1. In India statistic shows the results of a survey conducted by Cint on the average number of times fast food from quick service restaurants was consumed per week in India between 2016 and 2018. In 2021, 34.52 percent of respondents in India stated they eat fast food less than once per week2. According to another report, Indian fast-food market is expected to grow at a compound annual growth rate (CAGR) of 18 per cent by 2020 due to changing consumer behaviour and demography. This indicates that India is sailing in the same boat as US when it comes to fast food consumption.3 Therefore, this study was done to find out the awareness of health hazards of fast foods, consumption of fast foods.
STATEMENT OF THE PROBLEM:
A descriptive study to assess the level of knowledge, attitude and practice regarding Neighborhood fast food availability and fast-food consumption among households in selected urban area, Puducherry.
OBJECTIVES:
1. To assess the level of knowledge regarding Fast food consumption among households in selected urban area, in Puducherry.
2. To assess the level of attitude regarding Fast food consumption among households in selected urban area, in Puducherry.
3. To assess the level of practice regarding fast food consumption among households in selected urban area, in Puducherry.
4. To find out the correlation between knowledge and attitude regarding neighbourhood fast food availability and fast-food consumption among households.
5. To find association of level of knowledge and attitude regarding neighbourhood fast food availability and fast-food consumption among households with selected demographic variables.
METHODOLOGY:
A descriptive Cross sectional survey research design was used among 50 households was selected by using Convenience sampling technique. The tools include Section A: Demographic variables of the subjects. Section B: Level of knowledge, attitude and practice regarding neighbourhood fast food availability and fast-food consumption among households. Section C: Relationship between knowledge and attitude regarding neighbourhood fast food availability and fast-food consumption among households. Section D: Association of level of knowledge and attitude regarding neighbourhood fast food availability and fast-food consumption among households with selected demographic variables.
Ethical Consideration:
The ethical clearances were obtained from ethical committee from my own institution (MTPG & RIHS). Before the collection of data, formal consent and permission was obtained from households at in selected urban area, in Puducherry. The samples were selected based on inclusion criteria. Moreover, informed consent was obtained from each sample. The samples were given freedom to withdraw from the study at any time of the study period.
Table 1: Frequency and percentage distribution of level of knowledge regarding neighbourhood fast food availability and fast-food consumption among households. N = 50
Level of Knowledge |
No. |
% |
Inadequate Knowledge (≤50%) |
13 |
26.0 |
Moderate Knowledge (51 – 75%) |
34 |
68.0 |
Adequate Knowledge (above 75%) |
3 |
6.0 |
The above table 1 shows that 34(68%) had moderate knowledge, 13(26%) had inadequate knowledge and 3(6%) had adequate knowledge regarding neighbourhood fast food availability and fast-food consumption among households.
Table 2: Frequency and percentage distribution of level of attitude towards neighbourhood fast food availability and fast-food consumption among households. N = 50
Level of Attitude |
No. |
% |
Positive attitude |
35 |
70.0 |
Negative attitude |
15 |
30.0 |
The above table 2 shows that 35(70%) had positive attitude, 15(30%) had negativeuncertain attitude towards neighbourhood fast food availability and fast-food consumption among households.
Table 3: Frequency and percentage distribution of level of practice regarding neighbourhood fast food availability and fast food consumption amonghouseholds. N = 50
Items |
No. |
% |
How often do you eat fast food? |
|
|
Everyday |
4 |
8.0 |
Few times a month |
20 |
40.0 |
Once a month |
12 |
24.0 |
Never |
5 |
10.0 |
Once a week |
9 |
18.0 |
What is your favourite fast-food place? |
|
|
Dominos |
3 |
6.0 |
KFC |
10 |
20.0 |
Pizza hut |
3 |
6.0 |
Road side shop / restaurants |
21 |
42.0 |
Others |
13 |
26.0 |
What is the average amount of money you spend on fast food daily? |
|
|
Below Rs.40 |
16 |
32.0 |
Rs.40 – 80 |
14 |
28.0 |
Above Rs.80 |
20 |
40.0 |
How you are aware about fast foods |
|
|
Advertisement |
11 |
22.0 |
Social media |
7 |
14.0 |
By newspaper |
1 |
2.0 |
All the above |
31 |
62.0 |
The table 3 shows that most of the households, 20(40%) eat fast food few times a month, 21(42%) favourite fast food place is road side shop/restaurants, 2(40%) used to spend on fast food daily a average amount of above Rs.80 and 31(62%) were aware about fast foods through advertisement, social media and by newspaper.
Relationship between knowledge and attitude regarding neighbourhood fast food availability and fast-food consumption amonghouseholds.
Table 4: Correlation between knowledge and attitude regarding neighbourhood fast food availability and fast food consumption among households. N = 50
Variables |
Mean |
S.D |
Karl Pearson’s Correlation Value |
Knowledge |
6.16 |
1.89 |
r = 0.307 p = 0.030, S* |
Attitude |
26.62 |
4.87 |
*p<0.05, S – Significant
The table 4 shows that the mean score of knowledge was 6.16±1.89 and the mean score of attitude was 26.62±4.87. The calculated Karl Pearson’s Correlation value of r=0.307 between knowledge and attitude shows a moderate positive correlation which was found to be statistically significant at p<0.05 level. This clearly infers that when knowledge regarding neighbourhood fast food availability and fast-food consumption among households increases their attitude level towards it also increases.
Scatter Dot diagram showing the correlation between knowledge and attitude regarding neighbourhood fast food availability and fast food consumption among households. (r=0.307)
RESULTS:
Regarding sample distribution variable out of 50 households, 27(54%) of them were female, 23(46%) of them in the age group of 18-24 years, 27(54%) of them were obese, 24(48%) of them average monthly individual income of 0 to 10000, 33(66%) of them were graduate degree, 21(42%) were student, 39(78%) of them Hindus, 29(58%) belonged to nuclear family, 46(92%) were non-vegetarian, 31(62%) were unmarried, 24(48%) had 3-5members in their household, 17(34%) received information through television, 40(80%) had no systemic disorder. Out of 50 households only 6% of them had adequate knowledge about fast food consumption, 35% of Negative uncertain attitude towards consumption.
There is a positive correlation between knowledge and attitude and it was statistically significant at p<0.05 level. It was evident that if knowledge increases, attitude increases. So, As a community health nurse created awareness to all households to avoid junk fast foods and fast food consumptions effects.
CONCLUSION:
The present study concludes households had inadequate knowledge and attitude about the ill effects of junk food and fast-food consumption. So, researcher created awareness about the Ill effects of junk food and fast-food consumption among urban households in selected area of Puducherry.
REFERENCE:
1. Jiang Y, Wang J, Wu S, Li N, Wang Y, Liu J, Xu X, He Z, Cheng Y, Zeng X, Wang B, Zhang C, Zhao M, Su Z, Guo B, Yang W, Zheng R. Association between Take-Out Food Consumption and Obesity among Chinese University Students: A Cross-Sectional Study. Int J Environ Res Public Health. 2019 Mar 25;16(6):1071. doi:10.3390/ijerph16061071. PMID: 30934650; PMCID: PMC6465988.
2. Mohammadbeigi A, Asgarian A, Moshir E, Heidari H, Afrashteh S, KhazaeiS, Ansari H. Fast food consumption and overweight/obesity prevalence in students and its association with general and abdominal obesity. J Prev Med Hyg. 2018 Sep 28; 59(3):E236-E240. doi: 10.15167/2421-4248/jpmh2018.59.3.830. PMID: 30397681; PMCID: PMC6196377.
3. Janssen HG, Davies IG, Richardson LD, Stevenson L. Determinants of takeaway and fast-food consumption: a narrative review. Nutr Res Rev. 2018Jun;31(1):16-34. doi:10.1017/S0954422417000178. Epub 2017 Oct 17. PMID:29037273.
4. Fiolet T, Srour B, Sellem L, Kesse-Guyot E, Allès B, Méjean C, Deschasaux M, Fassier P, Latino-Martel P, Beslay M, Hercberg S, Lavalette C, Monteiro CA, Julia C, Touvier M. Consumption of ultra-processed foods and cancer risk: results from NutriNet-Santé prospective cohort. BMJ. 2018 Feb 14; 360:k322. doi:10.1136/bmj.k322. PMID: 29444771; PMCID: PMC5811844.
5. Schnabel L, Kesse-Guyot E, Allès B, Touvier M, Srour B, Hercberg S, BuscailC, Julia C. Association Between Ultraprocessed Food Consumption and Risk of Mortality Among Middle-aged Adults in France. JAMA Intern Med. 2019 Apr1;179(4):490-498. doi:.2018.7289. PMID: 30742202; PMCID:PMC6450295.
6. Opie RS, Itsiopoulos C, Parletta N, Sanchez-Villegas A, Akbaraly TN, RuusunenA, Jacka FN. Dietary recommendations for the prevention of depression. NutrNeurosci. 2017 Apr;20(3):161-171. doi: 10.1179/1476830515Y.0000000043. Epub 2016Mar 2. PMID: 26317148.
7. Costa CS, Del-Ponte B, Assunção MCF, Santos IS. Consumption of ultra-processed foods and body fat during childhood and adolescence: a systematic review. Public Health Nutr. 2018 Jan;21(1):148-159. doi:10.1017/S1368980017001331. Epub 2017 Jul 5. PMID: 28676132.
8. Popkin BM, Reardon T. Obesity and the food system transformation in LatinAmerica. Obes Rev. 2018 Aug; 19(8):1028-1064. doi: 10.1111/obr.12694. Epub 2018Apr 24. PMID: 29691969; PMCID: PMC6103889.
9. Khan A, Uddin R. Is consumption of fast-food and carbonated soft drink associated with anxiety-induced sleep disturbance among adolescents? A population-based study. ClinNutr ESPEN. 2020 Apr; 36:162-165. doi:10.1016/j.clnesp.2020.01.011. Epub 2020 Feb 8. PMID: 32220361.
10. Zobel EH, Hansen TW, Rossing P, von Scholten BJ. Global Changes in Food Supply and the Obesity Epidemic. CurrObes Rep. 2016 Dec; 5(4):449-455. doi: 10.1007/s13679-016-0233-8. PMID: 27696237.
11. Monteiro CA, Moubarac JC, Levy RB, Canella DS, Louzada MLDC, Cannon G. Household availability of ultra-processed foods and obesity in nineteen European countries. Public Health Nutr. 2018 Jan; 21(1):18-26. doi:10.1017/S1368980017001379. Epub 2017 Jul 17. PMID: 28714422.
12. Freire WB, Waters WF, Román D, Jiménez E, Burgos E, Belmont P. Overweight, obesity, and food consumption in Galapagos, Ecuador: a window on the world. Global Health. 2018 Sep 12; 14(1):93. doi: 10.1186/s12992-018-0409-y. PMID:30208909; PMCID: PMC6134580.
13. Askari Majabadi H, Solhi M, Montazeri A, Shojaeizadeh D, Nejat S, KhalajabadiFarahani F, Djazayeri A. Factors Influencing Fast-Food Consumption Among Adolescents in Tehran: A Qualitative Study. Iran Red Crescent Med J. 2016 Mar 6; 18(3):e23890. doi: 10.5812/ircmj.23890. PMID: 27247793; PMCID: PMC4884438.
14. Tenneychell Khongrangjem, Sushma Marita Dsouza, PriyaPrabhu, Vijay BasappaDhange, VrindhaPari, Sunil Kumar Ahirwar, Kumar Sumit A study to assess the knowledge and practice of fast-food consumption among Pre-University students in UdupiTaluk, Karnataka, https://doi.org/10.1016/j.cegh.2017.11.003 2213-3984/© 2017 INDIACLEN. Published by Elsevier.
15. 1: Kabir A, Miah S, Islam A. Factors influencing eating behavior and dietary intake among resident students in a public university in Bangladesh: A qualitative study. PLoS One. 2018 Jun 19; 13(6):e0198801. doi:10.1371/journal.pone.0198801. PMID: 29920535; PMCID: PMC6007825.
Received on 28.06.2022 Modified on 12.07.2022
Accepted on 17.08.2022 ©A&V Publications All right reserved
Int. J. of Advances in Nur. Management. 2022; 10(4):385-388.
DOI: 10.52711/2454-2652.2022.00084