Submit manuscript...
eISSN: 2576-4470

Sociology International Journal

Research Article Volume 7 Issue 6

Post-pandemic nutritional status in school children from an educational institution in Huánuco, Peru

Jhenifer Carmen Céspedes-Espinoza

University of Huánuco, Huánuco, Peru

Correspondence: Jhenifer Carmen Céspedes Espinoza, Professional Academic Nursing Program, University of Huánuco, Huánuco, Peru

Received: October 23, 2023 | Published: November 3, 2023

Citation: Céspedes-Espinoza JC. Post-pandemic nutritional status in school children from an educational institution in Huánuco, Peru. Sociol Int J. 2023;7(6):256‒259. DOI: 10.15406/sij.2023.07.00353

Download PDF

Abstract

Aim: Assess the post-pandemic nutritional status of schoolchildren in an educational institution in Huánuco, Peru.

Methods: a quantitative, descriptive, observational, prospective, cross-sectional study with a comparative descriptive design, with a population of 228 students and a sample of 143 students, who were administered a questionnaire and a registration form after validation. The Mann-Whitney U and Chi-square tests were used for inferential analysis.

Results: 25.2% (36) were overweight and 3.5% (5) were obese. It was found that there was a significant relationship between the frequency of food consumption and nutritional status (P-value=0.014).

Conclusion: It was concluded that the school children presented a normal nutritional status, followed by overweight, obesity and thinness.

Keywords: nutritional status, body mass index, pandemic, malnutrition, schoolchildren (DeCS)

Introduction

Nutritional statusin schoolchildren from 6 to 12 years old, It is defined as the physical condition in which the individual is1 as a result of the consumption of their food.2 Likewise, nutritional status is classified according to the Body Mass Index (BMI),3 that is, the individual may be thin, normal weight, overweight or obese. Due to the arrival of the pandemic, it has generated an unexpected change in many people, particularly children, with respect to their diet, many children consumed excessively non-nutritional foods4 as well as other children due to the economic situation of their parents. They stopped eating, affecting their health, and limiting themselves to physical exercise, making them sedentary children.5

In Brazil in 2023, Damassini et al.,4 to the they identified that there was a higher proportion of overweight schoolchildren and a lower amount of Obesity, indicating that there was a significant increase after the pandemic. In Ecuador in 2023, Peralta et al.,5 identified that 16.6% of schoolchildren were overweight and 12.3% obese. In the same country, in 2021, Lema,6 identified that 17.2% of schoolchildren were overweight and 4.6% obese. In Lima Peru, in 2021, Lipa et.al.,7 identified 15.7% of schoolchildren were overweight and 4.5% obese, in Amazonas, Peru, in 2021, Chugden,8 showed that more than half were overweight and 12.2% They presented obesity. And in Huánuco, in 2019, Minauro,9 98.8% were overweight and 1.2% were obese.

For this reason, the present study was carried out with the purpose of knowing how the nutritional status of schoolchildren is after two years of pandemic when they return to classes. Therefore, the objective of the study is to assess the post-pandemic nutritional status in schoolchildren from an educational institution in Huánuco, Peru.

Material and methods

The study had an observational, prospective, cross-sectional and descriptive quantitative approach, with a comparative descriptive design. This study was developedat the Mirko Artemio Valverde Almeida “MAVA” Educational Institution in the Amarilis district, Huánuco, Peru, during the period of 2022.

The population was made up of 228 schoolchildren, the sample size was 143 schoolchildren through the application of the formula for a finite population, being selected according to selection criteria. Inclusion criteria: schoolchildren enrolled in 2022 from first to sixth grade of primary school and parents who signed the informed consent, exclusion criteria: initial level schoolchildren, those who did not attend on the day of execution and parents who did not sign the consent. And stratified probability sampling was used.

The variable of this study was the post-pandemic nutritional status, which was measured using a record sheet where the weight was collected using a Kambor brand electronic scale, the height using a 2-meter measuring tape, and the Mass Index classification. Body according to the standard deviation of the anthropometric assessment table for women and men from 5 to 17 years of the MINSA (Table 1).10,11

Classification body mass index (BMI) for age

Standard deviation

Thinness

< -2 SD

Normal

> -2 to < +2 SD

Overweight

≤ +2 SD

Obesity

> +2 DE

Table 1 The anthropometric assessment table for women and men from 5 to 17 years of the MINSA

Regarding validation, content validity was carried out by 5 expert subject judges and the reliability process was issued because the measurement of the variable is standardized under the technical guide for anthropometric assessment in schoolchildren according to MINSA.3

To carry out the study, authorization was requested from the director of the educational institution. The objective of the study was explained to each student from first to sixth grade, respecting the prevention measures against COVID-19. Informed consent was also given to each student who wished to participate so that their parents authorized their participation. Once authorized, during art, tutoring and physical education hours, each student was given the general characteristics questionnaire, subsequently they were weighed, instructing the students to get on the scale without shoes to have an exact weight and then they were measured without shoes feet together, body pressed against the wall and looking straight ahead. Once the data had been collected, the BMI was assessed and then classified according to the MINSA anthropometric assessment table.10,11 After that, all the data was emptied into EXCEL 2016 and spss V. 16.

The acquired data were tabulated in statistical tables, they were presented in frequency and percentages, in the case of age, height and weight they were presented in mean, median, mode, standard deviation, variance, minimum and maximum. The Mann-Whitney U and Chi square statistical tests were used to compare the variable with the general characteristics, considering a P-value <0.05 as statistically significant. Statistical analysis was performed in spss V.16.

This study was supported by the Helsinki code of ethics of the World Medical Association (WMA), likewise, the ethical and bioethical principles applicable in all research were applied and, in the same way, Responsible Research Conduct was considered.

Results

Of the total number of schoolchildren in the study, 52.4% (75) were male, predominantly schoolchildren who reported living with their parents, as well as 11.9 (17) ate food more than 5 times every day and much more than half did not perform physical exercises during the day [77.6% (111)] (Table 2).

General characteristics

n=143

 

 Fi

 %

Biological Genus

 

Male

75

52.4

Female

68

47.6

Living with parents or other relatives

Yeah

131

91.6

No

12

8.4

Frequency of food consumption

3 times

37

25.9

3 – 5 times

89

62.2

more than 5 times

17

11.9

Frequency of physical exercises

Yeah

32

22.4

No

111

77.6

Table 2 General characteristics of the students of an educational institution in Huánuco, Peru

Regarding the weight and height of the schoolchildren, when evaluating the weight it was observed that the standard deviation was 8.7253, variance 76.131, minimum 19.8 kg and maximum 63.7 kg. When sizing the students, it was verified that the standard deviation was 0.09361, variance 0.009, minimum 1.14 cm and maximum 1.68 cm (Table 3).

Sociodemographic characteristics

n=143

 

 x

 I

Mo

Of

Yes

Min

Max

Age

9.15

9

8

1,911

3,652

6

14

Weight

33,442

32,100

32

8.7253

76,131

19.8

63.7

Size

1.339

1.339

1.3

0.09361

0.009

1.14

1.68

Table 3 Age, weight and height of the schoolchildren from an educational institution in Huánuco, Peru

Regarding nutritional status, the formula was used to find the BMI and then classify it; it was observed that 25.2% (36) were overweight and 3.5% (5) were obese (Table 4).

Post-pandemic nutritional status

n=143

 

fi

%

Thinness

1

0.7

Normal

101

70.6

Overweight

36

25.2

Obesity

5

3.5

Total

143

100

Table 4 Post-pandemic nutritional status in schoolchildren from an educational institution in Huánuco, Peru

It was verified that 14.7% (21) of the male schoolchildren were overweight and 2.8% (4) were obese, however, they did not show a significant relationship. 18.9% (27) and 3.5% (5) were overweight and obese schoolchildren who did not perform physical exercises, respectively, however, they did not show a significant relationship. 23.1% (33) were overweight schoolchildren who lived with their parents, however, they did not show a significant relationship. Finally, 47.1% (8) were overweight schoolchildren who ate their food more than 5 times during the day, demonstrating that there is a significant relationship (Table 5).

Characteristics

n=143

 

Thinness

Normal

Overweight

Obesity

P-value

 

fi

%

fi

%

fi

%

fi

%

 

Sex

               

0.216

Male

1

0.7

49

34.3

twenty-one

14.7

4

2.8

 

Female

0

0

52

36.4

fifteen

10.5

1

0.7

 

Living with parents or other relatives

         

0.752

Yeah

1

0.7

92

64.3

33

23.1

5

3.5

 

No, with a family member

0

0

9

6.3

3

2.1

0

0

 

Frequency of food consumption

           

0.014

3 times

1

0.7

31

21.7

4

2.8

1

0.7

 

3-5 times

0

0

63

44.1

24

16.8

2

1.4

 

more than 5 times

0

0

7

41.2

8

47.1

2

11.8

 

Physical exercises

             

0.886

YEAH

0

0

23

16.1

9

6.3

0

0

 

No

1

0.7

78

54.5

27

18.9

5

3.5

 

Table 5 Characteristics of schoolchildren according to post-pandemic nutritional status in schoolchildren from an educational institution in Huánuco, Peru

Discussion of results

According to the results obtained, it is evident that the frequency of food consumption shows a significant relationship with nutritional status. This result agrees with Henderson's 14 needs,12,13 of which the 2nd need is emphasized, which is to eat and drink appropriately, understanding that the frequency of food consumption will depend on the health status and physical condition of the schoolchildren.

Likewise, it coincides with the model of social determinants of Lalonde,14 where it shows that, of the 4 determinants, Lalonde15 focused on the lifestyle of schoolchildren, particularly recognizing the habits and customs that they have been collecting. Since his birth, specifically in his eating habits as a consequence of his physical state.

Studies that coincide with the result of this study, such as that of Gómez et al.,16 show that there is a significant relationship between the frequency of foods consumed and nutritional status, deducing that as schoolchildren consume more than three times non-nutritious foods, they are more likely to increase their BMI.

Likewise, the study by Castillo et al.,17 demonstrate that there is a significant relationship between both data, stating that schoolchildren with a higher BMI consume mostly sweet or salty sweets, processed foods and fried foods, just like the schoolchildren in this study, highlighting that their schoolchildren attend a high school sports.

Cordero et al.,18 shows that overweight and obese schoolchildren tend not to have breakfast before going to their educational institution and frequently consume foods that do not benefit their health every day, concluding that there is a significant relationship between both data.

On the contrary, a study conducted by Rocha et al.,19 demonstrates that the frequency of food consumption does not have a significant relationship with nutritional status, highlighting that their schoolchildren consumed processed foods, unlike the schoolchildren in this study who did not evaluate the types of foods they frequently consume during the day.

Another study carried out by Carvalho et al.,20 also indicates that there is no significant relationship between both data, despite the fact that they found a high level of food consumption in schoolchildren who were overweight and obese, without mentioning that they showed a moderate percentage in schoolchildren with excess abdominal fat being prone to developing of cardiovascular diseases.

The study presented main strengths, it was carried out according to the prepared planning, it had the permission of the director of the educational institution Mirko Artemio Valverde Almeida and it had the active participation of schoolchildren from the first to fifth grade of primary school. With the findings found, the nearest health center was presented so that they could carry out timely intervention for those schoolchildren with malnutrition.

Likewise, the study presented certain limitations during data collection such as that some parents did not agree to have their children participate in the study, likewise, some students did not want to participate due to fear that their peers would make fun of their weight, also, applying the instruments required a lot of time, so it was done during tutoring hours and during recess hours so as not to affect class hours.

Conclusion

It is concluded that there is a significant relationship between the frequency of food consumption and the nutritional status of schoolchildren, since during the pandemic schoolchildren have been affected in their eating habits and physical state, due to the fact that, being locked up for 3 years, The children had a sedentary life, they consumed their food frequently, raising their BMI, therefore, it is recommended that the director encourage the kiosk workers to sell nutritious foods and continue working with health professionals by providing educational and demonstration sessions to parents, and parents, to send their children lunch boxes with nutritious foods.

Acknowledgments

None.

Conflicts of interest

The authors declare that there is no conflict of interest.

Funding

The financial resources for the article were financed by the author.

References

  1. World Health Organization. Child care program. Standard for nutritional surveillance of children under five years. WHO. 2011.
  2. Fuentes H, Aguilera R, Soto L, et al. Nutritional status and anxiety levels during the COVID-19 pandemic. Nutr Hosp. 2022;39(3):704.
  3. Ministry of Health of Peru. National Institute of Peru. Final report: Technical report on food and nutritional surveillance by life stages: children 2017-2018. 2023.
  4. Damassini L, Bruch J. Food consumption and nutritional status of schoolchildren: integrative review. Arch Health Sci. 2023;30(1):1–5.
  5. Peralta M, Cabrera E, Torres J, et al. Academic performance and its relationship with nutritional status. School children, Sayausí Millennium Educational Unit. Ecuador basin. Rev Latin Cien Soc Hum. 2023;4(1):1–12.
  6. Lema VL, Aguirre MA, Durán NG, et al. Nutritional status and lifestyle in schoolchildren. A look from public and private educational units. Arch Vene Farm Tera. 2021;40(4):344–352.
  7. Lipa L, Gedrech P, Quilca Y, et al. Socioeconomic structure and eating habits in the nutritional status of students in Southern Peru. Challenges. 2021;12(2):135–143.
  8. Chugden IV. Nutritional status, academic performance and IQ in school children, Guadalupe town center, Amazonas, 2021.
  9. Minauro C. Risk factors for overweight in 5th and 6th grade students of the IE "Juana Moreno” Huánuco – 2019. 2020.
  10. Contreras Rojas M. Anthropometric nutritional assessment table - women (5 to 17 years). National Institute of Health. 2015.
  11. Contreras Rojas M. Anthropometric nutritional assessment table - men (5 to 17 years). National Institute of Health. 2015.
  12. Naranjo Y. Conceptual reflections on some nursing theories and their validity in Cuban practice. Rev Cub Enf. 2016;32(4).
  13. Alligood M, Tomey A. Models and theories in nursing. 10th ed. Spain: Elsevier Health Sciences; 2022.
  14. Aristizábal Hoyos G, Blanco Borjas D, Sánchez Ramos A, et al. Nola Pender's health promotion model. A reflection on its understanding. Enf Uni. 2011;8(4):1–8.
  15. Avila Aguero M. Towards a new public health: Determinants of health. Acta Med Costarric. 2009;51(2):13.
  16. Gómez M, Rodríguez S, Garay E. The nutritional status and consumption of food groups in boys and girls living in rural and urban areas of the province of San Luis. Rev Ucr. 2022;(5).
  17. Castillo P, Araneda J, Pinheiro A, et al. Eating habits and nutritional status of boys and girls who attend the comprehensive sports schools of the national sports institute, Ñuble region. Rev Chi Nut. 2020;47(4):640–649.
  18. Cordero M, Longhi H, Cesani Rossi M. Nutritional status and food assistance in urban schoolchildren in Tucumán, Argentina. Rev Esp de Nut Com. 2021;27(2):1–15.
  19. Rocha T, Etges B. Consumption of industrialized foods and nutritional status of school children. Biologics & Health. 2021;9(29):1–12.
  20. Carvalho M, Diogo B, Neves D, et al. Eating habits, consumption of ultra-processed foods and their correlation with nutritional status of private schoolchildren. RSD. 2020;9(3):1–16.
Creative Commons Attribution License

©2023 Céspedes-Espinoza. This is an open access article distributed under the terms of the, which permits unrestricted use, distribution, and build upon your work non-commercially.