Identification of demographic profile, sexual maturation, nutritional status, behavioral health and internet addiction among students

Authors

DOI:

https://doi.org/10.33448/rsd-v11i8.30863

Keywords:

Adolescent; Nutritional status; Depression; Anxiety; Internet Addiction Disorder.

Abstract

Objective: To characterize the current profile of adolescent students from public schools, according to their demographic characteristics, sexual maturation, nutritional status descriptors, internet addiction, behavioral health and possible interactions between them. Method: Analytical cross-sectional study, conducted with a non-probabilistic sample involving 1460 schoolchildren. Data were collected on demographic characteristics, nutritional status (weight/height, height/age, weight/age and body mass index/age), internet addiction score (IAT) and depression, anxiety and stress scores. (DASS-21) individually and privately. Results: A total of 1460 adolescents participated in the study, 51.0% of which were female, with a median age of 12.92 years. Most participants were eutrophic and of adequate height for their age, however 29.5% were overweight/obese/severely obese. In the quality-of-life analysis, 53.2% of the participants showed some level of depression, 58.5% for some level of anxiety, and 21.7% reported some level of stress. For the internet addiction test the majority (63.2%) were classified as having a severe level of addiction. There were no significant associations. Conclusion: The adolescents in our study were classified as eutrophic and with adequate height for their age, even so, there is a worrying prevalence of excess weight and high prevalence of depression, anxiety, and internet addiction, and although we have not identified an association between these, we recommend further investigations into quality of life and excessive use of technologies.

Author Biographies

Maria Aparecida Zanetti Passos, Universidade Federal de São Paulo

Postgraduate Program in Education and Health in Childhood and Adolescence, Universidade Federal de São Paulo / Escola Paulista de Medicina, São Paulo, Brazil.

Eliana Pereira Vellozo, Universidade Federal de São Paulo

Postdoctoral student in Pediatrics and Sciences Applied to Pediatrics at the Universidade Federal de São Paulo. Outpatient Supervisor of the Adolescent Medicine Sector, Department of Pediatrics, Universidade Federal de São Paulo. Co-advisor of the Postgraduate Program in Pathology at the Universidade Federal de São Paulo, Brazil

Peter Richard Hall, Centro Universitário INTA

Faculdade de Medicina, Centro Universitário INTA, Ceará, Brazil

André Luiz Monezi Andrade, Pontifical Catholic University of Campinas

Centre of Life Sciences. Department of Psychology. Pontifical Catholic University of Campinas (PUC-Campinas), Campinas, Brazil.

Teresa Helena Schoen , Universidade Federal de São Paulo

Adolescent Care and Support Center, Department of Pediatrics, Universidade Federal de São Paulo, São Paulo, Brazil.

Sheila Rejane Niskier , Universidade Federal de São Paulo

Department of Pediatrics, Universidade Federal de São Paulo, São Paulo, Brazil.

Maria Sylvia de Souza Vitalle , Universidade Federal de São Paulo

Adolescent Medicine Sector, Department of Pediatrics, Universidade Federal de São Paulo / Escola Paulista de Medicina, São Paulo, São Paulo, Brazil; Postgraduate Program in Education and Health in Childhood and Adolescence, Universidade Federal de São Paulo / Escola Paulista de Medicina, São Paulo, Brazil.

References

Andrade, A. L. M., Enumo, S. R. F., Passos, M. A. Z., Vellozo, E. P., Schoen, T. H., Kulik, M. A., & Vitalle, M. S. D. S. (2021). Problematic Internet use, emotional problems and quality of life among adolescents. Psico-USF, 26, 41-51. https://doi.org/10.1590/1413-82712021260104

Associação Brasileira de Empresas de Pesquisa (2016). Critério de classificação econômica Brasil. São Paulo: ABEP, 2016. https://www.abep.org/Servicos/Download.aspx?id=12

Barrense-Dias, Y., Berchtold, A., Akre, C., & Surís, J. C. (2016). The relation between internet use and overweight among adolescents: a longitudinal study in Switzerland. International journal of obesity (2005), 40(1), 45–50. https://doi.org/10.1038/ijo.2015.146

Bickham D. S. (2021). Current Research and Viewpoints on Internet Addiction in Adolescents. Current pediatrics reports, 9(1), 1–10. https://doi.org/10.1007/s40124-020-00236-3

Bozkurt, H., Özer, S., Şahin, S., &Sönmezgöz, E. (2018). Internet use patterns and Internet addiction in children and adolescents with obesity. Pediatric obesity, 13(5), 301–306. https://doi.org/10.1111/ijpo.12216

Bruscato, N. M., Pitrez Filho, M. S., Romor Vargas, L. T., Hauschild, J. A., Baldisserotto, M., Sanseverino, R., &Moriguchi, E. (2016). A prevalência de obesidade na infância e adolescência é maior em escolas públicas no sul do Brasil. Nutriciónclínica y dietéticahospitalaria, 36(4), 59-64.https://doi.org/10.12873/364bruscato

Conti, M. A., Jardim, A. P., Hearst, N., Cordás, T. A., Tavares, H., & Abreu, C. N. D. (2012). Avaliação da equivalência semântica e consistência interna de uma versão em português do Internet Addiction Test (IAT). ArchivesofClinicalPsychiatry (São Paulo), 39(3), 106-110.

Dalamaria, T., Pinto, W. J., Farias, E., & Souza, O. F. (2021). Internet addiction among adolescents in a Western Brazilian Amazonian city. Revista paulista de pediatria: orgao oficial da Sociedade de Pediatria de Sao Paulo, 39, e2019270. https://doi.org/10.1590/1984-0462/2021/39/2019270

de Ávila, G. B., Dos Santos, É. N., Jansen, K., & Barros, F. C. (2020). Internet addiction in students from an educational institution in Southern Brazil: prevalence and associated factors. Trends in psychiatry and psychotherapy, 42, 302-310.https://doi.org/10.1590/2237-6089-2019-0098

Fang, K., Mu, M., Liu, K., & He, Y. (2019). Screen time and childhood overweight/obesity: A systematic review and meta-analysis. Child: care, health and development, 45(5), 744–753. https://doi.org/10.1111/cch.12701

Ghandour, R. M., Sherman, L. J., Vladutiu, C. J., Ali, M. M., Lynch, S. E., Bitsko, R. H., & Blumberg, S. J. (2019). Prevalence and Treatment of Depression, Anxiety, and Conduct Problems in US Children. The Journal of pediatrics, 206, 256–267.e3. https://doi.org/10.1016/j.jpeds.2018.09.021

Halfon, N., Forrest, C. B., Lerner, R. M., &Faustman, E. M. (Eds.). (2018). Handbook of Life Course Health Development. Springer.

Instituto Brasileiro de Geografia e Estatística. (2010). Censo Demográfico: 2010. IBGE. https://biblioteca.ibge.gov.br/visualizacao/periodicos/552/cd_2010_agsn_if.pdf

Instituto Brasileiro de Geografia e Estatística. (2018). PIB per capita: IBGE, em parceria com os Órgãos Estaduais de Estatística, Secretarias Estaduais de Governo e Superintendência da Zona Franca de Manaus – SUFRAMA. IBGE. https://www.ibge.gov.br/estatisticas/economicas/contas-nacionais/9088-produto-interno-bruto-dos-municipios.html?=&t=o-que-e

Instituto Brasileiro de Geografia e Estatística. (2021a). Área Territorial: Área territorial brasileira 2020. Rio de Janeiro: IBGE. https://www.ibge.gov.br/geociencias/organizacao-do-territorio/estrutura-territorial/15761-areas-dos-municipios.html?=&t=o-que-e

Instituto Brasileiro de Geografia e Estatística. (2021b). População estimada: IBGE, Diretoria de Pesquisas, Coordenação de População e Indicadores Sociais, Estimativas da população residente com data de referência 1o de julho de 2020. Rio de Janeiro: IBGE. https://www.ibge.gov.br/estatisticas/sociais/populacao/9103-estimativas-de-populacao.html?=&t=o-que-e

Jatobá, J. D., & Bastos, O. (2007). Depressão e ansiedade em adolescentes de escolas públicas e privadas. Jornal Brasileiro de Psiquiatria, 56, 171-179.https://doi.org/10.1590/S0047-20852007000300003

Kracht, C. L., Joseph, E. D., &Staiano, A. E. (2020). Video Games, Obesity, and Children. Current obesity reports, 9(1), 1–14. https://doi.org/10.1007/s13679-020-00368-z

Lee, E. Y., & Yoon, K. H. (2018). Epidemic obesity in children and adolescents: risk factors and prevention. Frontiers of medicine, 12(6), 658–666. https://doi.org/10.1007/s11684-018-0640-1

Lovibond, P. F., & Lovibond, S. H. (1995). The structure of negative emotional states: comparison of the Depression Anxiety Stress Scales (DASS) with the Beck Depression and Anxiety Inventories. Behaviour research and therapy, 33(3), 335–343. https://doi.org/10.1016/0005-7967(94)00075-u

Machado, W. L., & Bandeira, D. R. (no prelo). Adaptação e validação da Depression, Anxietyand Stress Scale (DASS-21) para o Português brasileiro.

Mannan, M., Mamun, A., Doi, S., &Clavarino, A. (2016). Prospective Associations between Depression and Obesity for Adolescent Males and Females- A Systematic Review and Meta-Analysis of Longitudinal Studies. PloS one, 11(6), e0157240. https://doi.org/10.1371/journal.pone.0157240

Marshall, W. A., & Tanner, J. M. (1968). Growth and physiological development during adolescence. Annual review of medicine, 19, 283–300. https://doi.org/10.1146/annurev.me.19.020168.001435

Matsudo, S., & Matsudo, V. (1994). Self-assessment and physician assessment of sexual maturation in Brazilian boys and girls: Concordance and reproducibility. American journal of human biology: the official journal of the Human Biology Council, 6(4), 451–455. https://doi.org/10.1002/ajhb.1310060406

Ministério de Saúde (2018). Nascidos vivos – Brasil – Datasus. http://tabnet.datasus.gov.br/cgi/deftohtm.exe?sinasc/cnv/nvuf.def

National Academies of Sciences, Engineering, and Medicine; Health and Medicine Division; Division of Behavioral and Social Sciences and Education; Board on Children, Youth, and Families; Committee on the Neurobiological and Socio-behavioral Science of Adolescent Development and Its Applications; Backes EP, Bonnie RJ, editors (2019). The Promise of Adolescence: Realizing Opportunity for All Youth. https://www.ncbi.nlm.nih.gov/books/NBK545481/

Osório, R. G. (2003). O sistema classificatório de cor ou raça do IBGE. Brasília: Instituto de Pesquisa Econômica Aplicada – IPEA.

Pereira, F. S., Bevilacqua, G. G., Coimbra, D. R., & Andrade, A. (2020). Impact of problematic smartphone use on mental health of adolescent students: Association with mood, symptoms of depression, and physical activity. Cyberpsychology, Behavior, and Social Networking, 23(9), 619-626.https://doi.org/10.1089/cyber.2019.0257

Programa das Nações Unidas para o Desenvolvimento - Brasil. (2010). IDHM Índice de desenvolvimento humano municipal: Programa das Nações Unidas para o Desenvolvimento – PNUD. https://www.br.undp.org/content/brazil/pt/home/idh0/rankings/idhm-municipios-2010.html

Reid Chassiakos, Y. L., Radesky, J., Christakis, D., Moreno, M. A., Cross, C., & Council On Communications And Media (2016). Children and Adolescents and Digital Media. Pediatrics, 138(5), e20162593. https://doi.org/10.1542/peds.2016-2593

Rodrigues, C. S. S., da Silva Costa, A., Queiroz, M. G., Galdino, S. A. M., da Silva Simões, M. O., Teixeira, A., & Medeiros, C. C. M. (2020). Prevalência de sobrepeso e obesidade em adolescentes de escolas públicas Municipais em Campina Grande-PB. Brazilian Journal of Health Review, 3(5), 13740-13750.https://doi.org/10.34119/bjhrv3n5-191

Sbaraini, M., Cureau, F. V., Ritter, J., Schuh, D. S., Madalosso, M. M., Zanin, G., Goulart, M. R., Pellanda, L. C., &Schaan, B. D. (2021). Prevalence of overweight and obesity among Brazilian adolescents over time: a systematic review and meta-analysis. Public health nutrition, 24(18), 6415–6426. https://doi.org/10.1017/S1368980021001464

Stiglic, N., & Viner, R. M. (2019). Effects of screentime on the health and well-being of children and adolescents: a systematic review of reviews. BMJ open, 9(1), e023191. https://doi.org/10.1136/bmjopen-2018-023191

Vijayakumar, N., de Macks, Z. O., Shirtcliff, E. A., & Pfeifer, J. H. (2018). Puberty and the human brain: Insights into adolescent development. Neuroscience & Biobehavioral Reviews, 92, 417-436. https://doi.org/10.1016/j.neubiorev.2018.06.004

World Health Organization. (2013). Guideline: updates on the management of severe acute malnutrition in infants and children. Disponível em:https://www.who.int/publications/i/item/9789241506328

Xu, D. D., Lok, K. I., Liu, H. Z., Cao, X. L., An, F. R., Hall, B. J., Ungvari, G. S., Lei, S. M., & Xiang, Y. T. (2020). Internet addiction among adolescents in Macau and mainland China: prevalence, demographics and quality of life. Scientific reports, 10(1), 16222. https://doi.org/10.1038/s41598-020-73023-1

Young, K. S. (1998). Internet addiction: The emergence of a new clinical disorder. Cyberpsychology & behavior, 1(3), 237-244.https://www.liebertpub.com/doi/10.1089/cpb.1998.1.237

Zhang, J., Li, X., Hawley, N., Zheng, Z., Zou, Z., Tan, L., Chen, Q., Shi, H., Zhao, H., & Zhang, Z. (2018). Trends in the Prevalence of Overweight and Obesity among Chinese School-Age Children and Adolescents from 2010 to 2015. Childhood obesity (Print), 14(3), 182–188. https://doi.org/10.1089/chi.2017.0309

Published

18/06/2022

How to Cite

PASSOS, M. A. Z. .; PEREIRA VELLOZO, E.; HALL, P. R.; ANDRADE, A. L. M. .; SCHOEN , T. H. .; NISKIER , S. R. .; VITALLE , M. S. de S. . Identification of demographic profile, sexual maturation, nutritional status, behavioral health and internet addiction among students. Research, Society and Development, [S. l.], v. 11, n. 8, p. e25111830863, 2022. DOI: 10.33448/rsd-v11i8.30863. Disponível em: https://rsdjournal.org/index.php/rsd/article/view/30863. Acesso em: 14 nov. 2024.

Issue

Section

Health Sciences