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International Journal of Health Sciences logoLink to International Journal of Health Sciences
. 2016 Oct;10(4):548–555.

Assessment of dietary behavior of high school students of an urban setting in Pakistan

Jamil Ahmed 1,, Shafiq Ur Rehman 2, Faisal Mughal 3
PMCID: PMC5085350  PMID: 27833520

Abstract

Objectives

Exposure to energy dense foods increases the risk of obesity and non communicable disease in adult life. We conducted this study to assess the dietary behavior among class six to ten school students of government and private schools in Pakistan.

Methodology

This cross-sectional study was conducted in a sub district of Hyderabad, Pakistan using a questionnaire to measure food frequency by interviewing them through a recall method. A total of 504 male and female students of 6–10 grades were selected by simple random sampling method.

Results

We found that 83% children did not bring lunch from home to school and 44% ate at a fast food outlet during the school time. We also found that 31% schools allowed some food chain restaurant to sell fast food to students during recess hours and schools took their students to such restaurants for fun and eating trips for on an average of 1.8±0.8 times a week. More than half of the students ate breakfast and lunch at home less than three times a week. We also found that children ate vegetables and fruit least frequently whereas starch and meat containing foods more frequently and in greater amounts.

Conclusions

School children in our sample were exposed to high density fast foods and ate vegetable and fruits less frequently and could access fast foods much easily during school hours. Most did not bring lunch to school. Many schools facilitated the students to be exposed to fast foods by letting fast food companies to operate inside schools or by arranging student trips to the fast food outlets.

Keywords: diet, children, school, fast food, behavior

Introduction

(1) Evidence clearly shows that consumption of unbalanced and energy rich foods over time leads to the development of many non-communicable diseases (NCDs) including type-II Diabetes mellitus (DM) (2) and cardiovascular diseases. (3) Children who eat healthy diets are at lower risk of developing cardiovascular diseases in adult life. Asian population has highest burden of the NCD risk factors including consumption high calorie and energy dense diet. There is sufficient evidence that long-term consumption of high fat and sugar rich foods can contribute to obesity among school age children; not only in developed but also in low and middle income countries. (4, 5) Childhood obesity is a progressive phenomenon and is a known risk factor for the metabolic syndrome and type-II DM. (6) International Diabetes Federation estimates that currently 415 million adults have DM which will rise to 642 million by 2040. (7) Also,most diabetics live in low and middle income countries which will experience greatest increase in the burden of DM over the next 22 years. (8)

School children are exposed to these energy dense foods not only at homes but also at schools. As most food chain outlets and franchises target children for marketing their products, which is mostly “junk food” i.e. providing little nutrition but of high caloric content, it leads to unhealthy weight gain. (9, 10) School policies and practices play a pivotal role on children’s abilities to develop and practice healthier life styles. They have the responsibility to encourage children to consume healthy diets and engage in regular physical activities. Studies have consistently shown that schools can help children maintain a healthy weight if an all-inclusive program of healthy diet and physical activity is implemented in full sprit. (11) Research, which used schools as platforms for the promotion of healthy diets in children, shows that parental involvement, implementing broader environmental changes to to aware children about healthy food choices as part of the curriculum, positively changed children’s dietary patterns. (12, 13) Pakistan stands among the countries which have prevalence of obesity, among boys and girls, between 15% to 20%. (14) Pakistan being a low income country faces adouble burden of diseases; with the burden of many NCDs and their risk factors increasing. (15) Although the dietary habits in adults has been studied much but the subject needs detailed inquiry in children in Pakistani context. This study was aimed to assess the dietary patterns prevalent among high school children in an urban area of Pakistan.

Methods

This cross sectional study was conducted during July and August 2009 in one of the four Talukas (smaller administrative units in a district) in Hyderabad. Hyderabad city is the third largest city in Pakistan with a current estimated population of 2 million inhabitants. The target population for the study was grade 6 to 10 high school male and female students, from 8 private and 2 government schools of the selected Taluka. The sample size of 504 male and female students was selected though simple random sampling method from the government and private schools and subsequently from the classes according to the probability proportional to size. The sample was divided among the male and female students in schools equally because they made up equal proportion in their registration in high schools in the taluka. A structured questionnaire was used to inquire about diet related behaviors of students; it was pilot tested on 30 students for corrections before final interviews. Data were analyzed through SPSS version 17.0 by using appropriate descriptive and inferential statistics such as chi square and t-test at 5% level of significance. The study was approved by the ethics review committee (ERC) of the Aga Khan University (AKU) Karachi. A prior written consent and assent was obtained from the students and their parents, respectively.

Results

The results were available for 501 students; 80% and 20% of whom were from private and public schools, respectively. The mean age of students was 13.8 ±1.6 years old, 255 (50.9%) were males and 246 (49.1%) females. Sixty seven percent students were from middle socioeconomic status. There was almost equal participation of students according to their classes, i.e. 20.2% in class 6 and 17.6% in class 10. Table 1 shows results of the variables on behavior of students about consumption of various foods during and after school time based on recall of the week before the interview. A significant 83% did not bring lunch in school, only 7% ate at home and 44% ate at a fast food restaurant during school time for about 1–3 times in the week before the interview.

Table 1.

Dietary behavior of high school students in the week preceding the interview

n (%)
Bought lunch at school
Never 165 (33%)
1–3 Times in the week 336 (67%)
Brought lunch to school from home
Never 417 (83%)
1–3 Times in the week 84 (17%)
Ate lunch at home on a school day
Never 36 (7%)
1–3 Times in the week 464 (93%)
Did not eat lunch at all
Never 332 (67%)
1–3 Times in the week 168 (33%)
Ate at a fast food outlet
Never 279 (56%)
1–3 Times in the week 222 (44%)
Ate breakfast last week
Never 68 (14%)
1–3 Times in the week 433 (86%)
Meals or snacks while watching television
Never 114 (23%)
1–3 Times in the week 387 (77%)

We found that during the 6 month period prior to the interview a significant 31% of the schools had allowed any fast food chain restaurant in the city to run an outlet inside the school premises during recess time for children to buy the food; which included the chicken or meat burgers, pizzas, fried chicken and fried potatoes. A quarter of the schools arranged group trips to these food chain restaurants for eating lunch, which also consisted mainly of fast food. On an average schools arranged such trips 1.8(SD=0.4) times in the six months prior to the interview. We also inquired as to what were the cultural patterns prevalent with regard to eating meals in homes and we found that although half of the students ate breakfast alone and more than three quarters of them ate lunch and dinner with their parents (Table 2).

Table 2.

Eating practices of high school students

n (%)
Fast food outlet at school in last 6 months
Yes 153 (31%)
No 346 (69%)
School trips to a fast food restaurant
Yes 119 (24%)
No 382 (76%)
Breakfast a day before
With parents 262 (52%)
Alone 239 (48%)
Lunch a day before
With parents 357 (71%)
Alone 144 (29%)
Dinner a day before
With parents 388 (77%)
Alone 112 (22%)

We adapted adult food frequency questionnaire and used it to assess the foods eaten by the students. The list of common food items was edited after the pre testing of the food frequency questionnaire on 30 students prior to interviews to develop the list of commonly eaten foods in the area. Recall for each day of the week prior the interview was used as a method to measure the frequency of consumption of these foods. The results of the most common foods consumed are presented in Table 3. Generally, the students consumed starch and meat containing foods moderately whereas the consumption of vegetables was limited to very low frequency i.e. ‘less than a week” in some and to “Never to once a month” in most cases. Almost half of the students consumed protein foods at least once a week. With mango and orange being the fruits available in the season when the interviews were done; they were consumed by a third of the students on weekly basis. However the consumption of other fruits least frequent.

Table 3.

Frequency of consumption various foods by the high school students of Hyderabad, Pakistan

Never to once a month
n(%)
Once in last week
n (%)
Once daily
n (%)
2–5 Daily in last week
n (%)
Starch
Paratha (fried traditional bread) 187 (37%) 132 (26%) 159 (32%) 23 (05%)
Puree(deep Fried subcontinental bread) 322 (64%) 136 (27%) 34 (07%) 7 (01%)
Briyani(chicken rice) 144(29%) 291(58%) 43(09%) 23 (05%)
Vegetable (cooked)
Cauliflower 330(66%) 159 (32%) 9 (02%) 3 (01%)
Cabbage 344(69%) 140 (28%) 12 (02%) 5 (01%)
Brinjal 326(65%) 163 (33%) 10 (02%) 2 (0.4%)
Gourd 359(72%) 135 (27%) 6 (01%) 0.4 (0.4%)
Beetroot 438(88%) 48 (10%) 9 (02%) 2 (0.4%)
Reddish 378(76%) 100 (20%) 13 (03%) 5 (01%)
Turnip 404(81%) 88 (18%) 5 (01%) 0 (0%)
Yam 433(88%) 49 (10%) 8 (02%) 5 (01%)
Bitter gourd 411 (83%) 76 (15%) 9 (02%) 2 (0.4%)
Beans 409 (82%) 74 (15%) 12 (02%) 4 (01%)
Lentils 193 (39%) 274 (55%) 32 (06%) 2 (0.4%)
Fruit
Watermelon 285 (57%) 153 (31%) 54 (11%) 8 (02%)
Apricot 281 (56%) 167 (33%) 41 (08%) 12 (02%)
Peach 293 (59%) 152 (31%) 46 (09%) 7 (01%)
Mango 103 (21%) 70 (14%) 173 (35%) 154 (31%)
Orange 127 (26%) 173 (35%) 173 (35%) 26 (05%)
Protein foods
Mutton/Beef 184 (37%) 264 (53%) 41 (08%) 6 (01%)
Chicken curry 116 (23%) 295 (59%) 71 (14%) 15 (03%)
Fish fry 270 (54%) 203 (41%) 22 (14%) 3 (01%)
Fish curry 277 (56%) 192 (39%) 20 (04%) 4 (01%)
Egg ommollette 186 (37%) 199 (40%) 110 (22%) 5 (01%)
Boiled egg 273 (55%) 178 (36%) 45 (09%) 2 (0.4%)
Dairy
Whole milk 192 (39%) 84 (17%) 200 (40%) 23 (05%)
Skimmed milk 288 (58%) 74 (15%) 119 (24%) 16 (03%)
Yoghurt 175 (35%) 177 (36%) 128 (26%) 16 (03%)

Discussion

Our findings that most children in the schools did not bring lunch from home and most of them ate at a fast food outlet during the school hours, a quarter of schools allowed food chain restaurant to sell fast food to students during recess hours and took their students to such restaurants for fun trips and eating trips; highlight the importance of interventions to influence children to eat healthier food. As the children were exposed to energy dense foods they were probably less interested to eat required amounts of vegetables and fruits.

Most children did not bring their lunch therefore they were more inclined to buy cheap and high caloric low energy foods from or outside their schools. Additionally, most schools did not have explicit policy about lunch boxes. Bringing lunches to schools ensures that students are less exposed to high fat and energy dense foods. (16) Interventions with parental involvements in the dietary modification of children have shown better outcomes among obese children. (17) However, as working parents are challenged by time constraints to help children eat quality foods at schools and at home, (18) realization by parents about the importance of healthy diets is a positive predictor of children adopting healthy diet related behaviors. (19) Not only this but the effects of learning from parents’ behavior towards eating healthy food last longer than parents just controlling their children in order to eat healthy food. (20)

As most students in our study bought foods during school hours or from out of home during non-school time, most of this food consited of fast food. As fast foods\ consist of mainly fried ingredients, they are shown to be associated with abnormal weight gain in children. (21) Since more than a quarter of these schools facilitated encouraged children to eat at fast food restaurants and other quarter by allowing fast food restaurant to sell such foods to children, the studies are consistent that access to fast foods, in terms of distance, enhances the consumption of these foods. (22, 23) Interventions have helped children to eat lunch within school during school times have reduced eating at fast food restaurants. (24)

The fact that most children did not bring their lunch from home and that they were eating fast foods during school times justifies our finding that children did not eat vegetables as main meals of the day. Our finding is consistent with research elsewhere that exposure and access to energy dense and sweet foods leads to diminished consumption of healthier foods such as fruit and vegetable. This is because of high caloric content of the fatty and energy dense foods which may provide low vitamins and other essential nutrition but are high in calories and are highly tasty and additctive. (25) The consumption of fruit and vegetables is consistently shown to be associated with children growing with normal weight and development of lower risk of NCDs. (26) Influencing schools to adopt policies which require children to bring lunches and draw criteria for the contents of the lunches has also shown significant improvements in the quality of lunch in schools in developed countries. (27) Home based interventions directed at changing behavior of parents toward choices such as wise buying, cooking and eating healthier foods have shown to contribute to healthy weight gains in children; they, however, require education of parents on healthful dietary choices. (28)

Strengths and limitation

The strengths of study included pilot testing of questionnaire which was edited accordingly to make it easily understandable even by the students of the sixth class. This study is also one of the few which present an in-depth analysis of food frequency of school going children in Pakistan. The data collectors were given a three days training before the study. The children of junior classes were not able to concentrate for too long at the time of interview especially on food frequency related questions; which was a weakness in our study.

Conclusion

We conclude that high school children in Pakistan are exposed to high density fast foods and eat vegetable and fruits less frequently. Fast food is readily accessible to these children outside their homes. In addition to this; parents played a little facilitative role in encouraging or supporting their children to adhere to healthy foods. We recommend an increasingly responsible role of parents and families to ensure that their children are not exposed to fast foods when they are in schools or outside their homes. We also recommend that schools be monitored, facilitated by giving guidance, policy advice and support by the relevant segments of the state such as health and education departments, so that they can encourage children eat healthier foods during school hours.

Footnotes

The study was conducted at the Department of Community Health Sciences, Aga Khan University Karachi, Pakistan

References

  • 1.Kaikkonen JE, Mikkila V, Raitakari OT. Role of childhood food patterns on adult cardiovascular disease risk. Curr Atheroscler Rep. 2014;16(10):443. doi: 10.1007/s11883-014-0443-z. Epub 2014/08/06. [DOI] [PubMed] [Google Scholar]
  • 2.Dominguez LJ, Bes-Rastrollo M, Basterra-Gortari FJ, Gea A, Barbagallo M, Martinez-Gonzalez MA. Association of a Dietary Score with Incident Type 2 Diabetes: The Dietary-Based Diabetes-Risk Score (DDS) PloS one. 2015;10(11):e0141760. doi: 10.1371/journal.pone.0141760. Epub 2015/11/07. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Setayeshgar S, Whiting SJ, Pahwa P, Vatanparast H. Predicted 10-year risk of cardiovascular disease among Canadian adults using modified Framingham Risk Score in association with dietary intake. Applied physiology, nutrition, and metabolism = Physiologie appliquee, nutrition et metabolisme. 2015;40(10):1068–74. doi: 10.1139/apnm-2015-0074. [DOI] [PubMed] [Google Scholar]
  • 4.Costa RF, Cintra Ide P, Fisberg M. [Prevalence of overweight and obesity in school children of Santos city, Brazil]. Arq Bras Endocrinol Metabol. 2006;50(1):60–7. doi: 10.1590/s0004-27302006000100009. Prevalencia de sobrepeso e obesidade em escolares da cidade de Santos, SP. [DOI] [PubMed] [Google Scholar]
  • 5.Marwaha RK, Tandon N, Singh Y, Aggarwal R, Grewal K, Mani K. A study of growth parameters and prevalence of overweight and obesity in school children from delhi. Indian Pediatr. 2006;43(11):943–52. [PubMed] [Google Scholar]
  • 6.Adair LS, Gordon-Larsen P, Du SF, Zhang B, Popkin BM. The emergence of cardiometabolic disease risk in Chinese children and adults: consequences of changes in diet, physical activity and obesity. Obes Rev. 2013;15(Suppl 1):49–59. doi: 10.1111/obr.12123. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.International Diabetes Federation. IDF Diabetes Atlas. 2016. [Google Scholar]
  • 8.Guariguata L, Whiting DR, Hambleton I, Beagley J, Linnenkamp U, Shaw JE. Global estimates of diabetes prevalence for 2013 and projections for 2035. Diabetes research and clinical practice. 2014;103(2):137–49. doi: 10.1016/j.diabres.2013.11.002. [DOI] [PubMed] [Google Scholar]
  • 9.Cheng TO. Fast food, automobiles, television and obesity epidemic in Chinese children. International journal of cardiology. 2005;98(1):173–4. doi: 10.1016/j.ijcard.2004.08.019. [DOI] [PubMed] [Google Scholar]
  • 10.Payab M, Kelishadi R, Qorbani M, Motlagh ME, Ranjbar SH, Ardalan G, et al. Association of junk food consumption with high blood pressure and obesity in Iranian children and adolescents: the CASPIAN-IV Study. J Pediatr (Rio J) doi: 10.1016/j.jped.2014.07.006. [DOI] [PubMed] [Google Scholar]
  • 11.Williams AJ, Henley WE, Williams CA, Hurst AJ, Logan S, Wyatt KM. Systematic review and meta-analysis of the association between childhood overweight and obesity and primary school diet and physical activity policies. Int J Behav Nutr Phys Act. 2013;10:101. doi: 10.1186/1479-5868-10-101. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Sharma M. Dietary education in school-based childhood obesity prevention programs. Adv Nutr. 2012;2(2):207S–16S. doi: 10.3945/an.111.000315. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Brown T, Summerbell C. Systematic review of school-based interventions that focus on changing dietary intake and physical activity levels to prevent childhood obesity: an update to the obesity guidance produced by the National Institute for Health and Clinical Excellence. Obes Rev. 2009;10(1):110–41. doi: 10.1111/j.1467-789X.2008.00515.x. Epub 2008/08/05. [DOI] [PubMed] [Google Scholar]
  • 14.IASO. The International Association for the Study of Obesity. 2007. [Google Scholar]
  • 15.Pappas G, Akhtar T, Gergen PJ, Hadden WC, Khan AQ. Health status of the Pakistani population: a health profile and comparison with the United States. Am J Public Health. 2001;91(1):93–8. doi: 10.2105/ajph.91.1.93. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Caruso ML, Cullen KW. Quality and Cost of Student Lunches Brought From Home. JAMA Pediatr. doi: 10.1001/jamapediatrics.2014.2220. Epub 2014/11/25. [DOI] [PubMed] [Google Scholar]
  • 17.Collins CE, Okely AD, Morgan PJ, Jones RA, Burrows TL, Cliff DP, et al. Parent diet modification, child activity, or both in obese children: an RCT. Pediatrics. 2011;127(4):619–27. doi: 10.1542/peds.2010-1518. [DOI] [PubMed] [Google Scholar]
  • 18.Datar A, Nicosia N, Shier V. Maternal work and children’s diet, activity, and obesity. Soc Sci Med. 2014;107:196–204. doi: 10.1016/j.socscimed.2013.12.022. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Yackobovitch-Gavan M, Nagelberg N, Phillip M, Ashkenazi-Hoffnung L, Hershkovitz E, Shalitin S. The influence of diet and/or exercise and parental compliance on health-related quality of life in obese children. Nutr Res. 2009;29(6):397–404. doi: 10.1016/j.nutres.2009.05.007. [DOI] [PubMed] [Google Scholar]
  • 20.Dickens E, Ogden J. The role of parental control and modelling in predicting a child’s diet and relationship with food after they leave home. A prospective study. Appetite. 2014;76:23–9. doi: 10.1016/j.appet.2014.01.013. [DOI] [PubMed] [Google Scholar]
  • 21.Taveras EM, Berkey CS, Rifas-Shiman SL, Ludwig DS, Rockett HR, Field AE, et al. Association of consumption of fried food away from home with body mass index and diet quality in older children and adolescents. Pediatrics. 2005;116(4):e518–24. doi: 10.1542/peds.2004-2732. [DOI] [PubMed] [Google Scholar]
  • 22.Alviola PAt, Nayga RM, Jr, Thomsen MR, Danforth D, Smartt J. The effect of fast-food restaurants on childhood obesity: a school level analysis. Econ Hum Biol. 2013;12:110–9. doi: 10.1016/j.ehb.2013.05.001. E. [DOI] [PubMed] [Google Scholar]
  • 23.Laxer RE, Janssen I. The proportion of excessive fast-food consumption attributable to the neighbourhood food environment among youth living within 1 km of their school. Appl Physiol Nutr Metab. 2014;39(4):480–6. doi: 10.1139/apnm-2013-0208. [DOI] [PubMed] [Google Scholar]
  • 24.Beaulieu D, Godin G. Staying in school for lunch instead of eating in fast-food restaurants: results of a quasi-experimental study among high-school students. Public health nutrition. 2012;15(12):2310–9. doi: 10.1017/S1368980012000821. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Briefel RR, Wilson A, Gleason PM. Consumption of low-nutrient, energy-dense foods and beverages at school, home, and other locations among school lunch participants and nonparticipants. J Am Diet Assoc. 2009;109(2 Suppl):S79–90. doi: 10.1016/j.jada.2008.10.064. [DOI] [PubMed] [Google Scholar]
  • 26.Struempler BJ, Parmer SM, Mastropietro LM, Arsiwalla D, Bubb RR. Changes in fruit and vegetable consumption of third-grade students in body quest: food of the warrior, a 17-class childhood obesity prevention program. J Nutr Educ Behav. 2014;46(4):286–92. doi: 10.1016/j.jneb.2014.03.001. [DOI] [PubMed] [Google Scholar]
  • 27.Evans CE, Cleghorn CL, Greenwood DC, Cade JE. A comparison of British school meals and packed lunches from 1990 to 2007: meta-analysis by lunch type. Br J Nutr. 2010;104(4):474–87. doi: 10.1017/S0007114510001601. Epub 2010/05/27. [DOI] [PubMed] [Google Scholar]
  • 28.Santiago-Torres M, Adams AK, Carrel AL, LaRowe TL, Schoeller DA. Home food availability, parental dietary intake, and familial eating habits influence the diet quality of urban Hispanic children. Child Obes. 2014;10(5):408–15. doi: 10.1089/chi.2014.0051. Epub 2014/09/27. [DOI] [PMC free article] [PubMed] [Google Scholar]

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