Obezojenik Aile Ortamı ile Çocukların Akıllı Telefon Kullanımı ve Depresif Belirtileri Arasındaki İlişki

Yıl 2023, Cilt: 17 Sayı: 4, 279 - 284, 25.07.2023

Betül Orhan Kılıç , Serhat Kılıç , Eylem Gül Ateş , Abduljabar Adı , Sami Dalati , Luai Shaaban , Efe Sevim , Dilek Konuksever

https://doi.org/10.12956/tchd.1213544

Öz

Amaç: Çocukluk çağı obezitesi günümüzde en yaygın halk sağlığı sorunu haline gelmiştir. Çocukluk obezitesi için obezojenik aile uygulamaları, çocuk obezitesi ve depresif belirtiler arasındaki ilişkiyi incelemeyi amaçladık.

Gereç ve Yöntemler: Bu araştırmayı, Ekim 2021 - Temmuz 2021 tarihleri arasında çocuk kliniğimize başvuran 7-15 yaş aralığında olan 96 çocuk ve onların ailesi üzerinde gerçekleştirdik. Çalışmaya katılmayı kabul eden ebeveynler ve çocuklar, sosyodemografik verilerini, çocukların kilo ve boy bilgilerini, “Çocuklar İçin Depresyon Envanteri (CDI)” ve “Aile Beslenmesi ve Fiziksel Aktivite Tarama Aracı (FNPA)” içeren bir online anketi doldurdular.

Bulgular: Bu çalışma, çocukluk çağı obezitesi için daha yüksek riskli aile uygulamalarının, çocuklarda artan depresif belirtilerle ilişkili olduğunu bulmuştur (r=-0.279, p=0.006). Obezojenik aile ortamı, çocuklarda daha yüksek depresif puanlarla ilişkiliydi. Obezojenik aile ortamına sahip çocukların akıllı telefonlarda daha fazla zaman geçirdikleri de doğrulandı (p<0.001).

Sonuç: FNPA, obezojenik aile faktörlerini belirlemede kolay uygulanabilir bir araçtır. Obezojenik aile ortamına sahip çocuklarda depresif belirtiler ve akıllı telefon kullanımı konusunda dikkatli olabiliriz.

Anahtar Kelimeler

Davranış, Çocuklar, Depresyon, Aile Ortamı, Beslenme, Akıllı Telefon Kullanımı

Proje Numarası

KA21/205

Teşekkür

Hastalarımıza bilimsel araştırmamıza katkılarından ötürü teşekkürü borç bilirim.

Relationship Between Obesogenic Family Environment, Children’s Smartphone Usage, and Depressive Symptoms

Öz

Objective: Childhood obesity has become a most common public health problem. We aimed to examine the relationship between obesogenic family practices for childhood obesity, children’s obesity, and depressive symptoms.

Material and Methods: In the present study, we conducted on 96 families and their children aged 7-15 who applied to our pediatric clinic from October 2021 to July 2021. Parents and children who agreed to participate in the study filled out an online questionnaire containing sociodemographic data, children's weight, and height information, "The Children's Depression Inventory (CDI)," and "Family Nutrition and Physical Activity Screening Tool (FNPA),."

Results: The present study found that the higher risky family practices for childhood obesity were associated with increased children's depressive symptoms (r=-0.279, p=0.006). Obesogenic family environment was correlated with higher depressive scores in the children. It was also confirmed that the children with obesogenic family environments spent more time on smartphones (p<0.001).

Conclusion: The FNPA is an easily applicable tool to determine obesogenic family factors. We might be careful about depressive symptoms and smartphone use in children with obesogenic family environments.

Anahtar Kelimeler

Children, Depression, Physical Activity Scale., Behavior, Family Environment, Nutrition, Smartphone Use

Proje Numarası

KA21/205

Kaynakça

• World Health Organization (WHO). Erişim tarihi: 11 Kasım 2022. Available from: https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight.
• Ihmels MA, Welk GJ, Eisenmann JC, Nusser SM. Development And Preliminary Validation Of A Family Nutrition And Physical Activity (FNPA) Screening Tool. The Int J Behav Nutr Phys Act 2009; 6:14.
• Peyer KL, Bailey-Davis L, Welk G. Development, Applications, and Refinement of the Family Nutrition and Physical Activity (FNPA) Child Obesity Prevention Screening. Health Promot Pract 2021; 22: 4: 456–61.
• Tucker JM, Howard K, Guseman EH, Yee KE, Saturley H, Eisenmann JC. Association between the Family Nutrition and Physical Activity Screening Tool and obesity severity in youth referred to weight management. Obes Res Clin Pract 2017;11: 3, 268-75.
• Morales Camacho WJ, Molina Díaz JM, Plata Ortiz S, Plata Ortiz JE, Morales Camacho MA, Calderón BP. Childhood obesity: Aetiology, comorbidities, and treatment. Diabetes Metab Res Rev 2019; 35: 8: 3203.
• Bates CR, Buscemi J, Nicholson LM, Cory M, Jagpal A, Bohnert AM. Links between the organization of the family home environment and child obesity: a systematic review. Obes rev 2018; 19: 5: 716-27.
• Yee KE, Pfeiffer KA, Turek K, Bakhoya M, Carlson JJ, Sharman M, et al. Association of The Family Nutrition and Physical Activity Screening Tool with Weight Status, Percent Body Fat, and Acanthosis Nigricans in Children From A Low Socioeconomic, Urban Community. Ethn Dis2015; 25: 4: 399–404.
• Smith JD, Fu E, Kobayashi MA. Prevention and management of childhood obesity and its psychological and health comorbidities. Annu Rev Clin Psychol 2020; 16: 351-78.
• Mannan M, Mamun A, Doi S, Clavarino A. Prospective associations between depression and obesity for adolescent males and females- a systematic review and meta-analysis of longitudinal studies. PLoS One 2016;11: 0157240.
• Centers For Disease Control And Prevention (CDC). Erişim tarihi: 10 Ekim 2022. Available from: https://www.cdc.gov/Childrensmentalhealth/Depression.Html.
• Panchal U, Salazar de Pablo G, Franco M, Moreno C, Parellada M, Arango C, et al. The impact of COVID-19 lockdown on child and adolescent mental health: a systematic review. Eur Child Adolesc Psychiatry 2021: 1–27.
• Whittle S, Bray K, Lin S, Schwartz O. Parenting and child and adolescent mental health during the COVID-19 pandemic. PsyArXiv 2020 https://doi.org/10.31234/osf.io/ag2r7
• Park JH. Smartphone use patterns of smartphone-dependent children. Child Health Nurs Res 2020; 26: 47-54.
• Ma Z, Wang J, Li J, Jia Y. The association between obesity and problematic smartphone use among school-age children and adolescents: a cross-sectional study in Shanghai. BMC public health 2021; 21: 2067. doi: 10.1186/s12889-021-12124-6.
• Alpar R. Uygulamalı İstatistik Ve Geçerlilik-Güvenirlilik. 6. Baskı. Ankara, Detay yayıncılık, 2020.
• Neyzi O, Günöz H, Furman A, Bundak R, Gokcay G. Türk Çocuklarinda Vücut Ağirliği, Boy Uzunluğu, Baş Çevresi ve Vücut Kitle İndeksi Referans Değerleri. Çocuk Sağlığı ve Hastalıkları Dergisi 2008;51:1-14.
• Ozdemir S, Terzi O, Dundar C. The Family Nutrition and Physical Activity (Fnpa) Screening Tool: Psychometric Characteristics, Reliability, and Validity in The Turkish Population. J Public Health (Berl) 2021; 30:1-7. DOI:10.1007/s10389-021-01540-y.
• Oy B. Depression Inventory for Children: A Validity And Reliability Study. Turkish Journal of Psychiatry 1991;2:132-7.
• Herbenick SK, James K, Milton J, Cannon D. Effects of family nutrition and physical activity screening for obesity risk in school-age children. J Spec Pediatr Nurs 2018; 23: e12229.
• Stavridou A, Kapsali E, Panagouli E, Thirios A, Polychronis K, Bacopoulou F, Tsitsika A. Obesity in children and adolescents during COVID-19 pandemic. Children 2021; 8: 135.
• Nogueira-de-Almeida CA, Del Ciampo LA, Ferraz IS, Del Ciampo IR, Contini AA, Ued FDV. COVID-19 and obesity in childhood and adolescence: a clinical review. J Pediatr (Rio J) 2020; 96: 546-58.
• Aguilar-Farias N, Toledo-Vargas M, Miranda-Marquez S, Cortinez-O’ryan A, Cristi-Montero C, Rodriguez-Rodriguez F, et al. Sociodemographic Predictors Of Changes In Physical Activity, Screen Time, And Sleep Among Toddlers And Preschoolers In Chile During The Covid-19 Pandemic. Int J Environ Res Public Health 2020;18:176.
• Wang L, Feng Z, Yang G, Yang Y, Wang K, Dai Q, et al. Depressive symptoms among children and adolescents in western China: an epidemiological survey of prevalence and correlates. Psychiatry Res 2016; 246: 267-74.
• Zhou Q, Fan L, Yin Z. Association between family socioeconomic status and depressive symptoms among Chinese adolescents: Evidence from a national household survey. Psychiatry Res 2018; 259: 81-8.
• Razak Özdinçler A, Azim Rezaei D, Şeker Abanoz E, Atay C, Aslan Keleş Y, Tahran Ö, et al. The Effect of Technology Addiction on Posture and Body Awareness in School Age Children. Journal of Dependence 2019; 20: 185-96.
• Dutta K, Mukherjee R, Sen D, Sahu S. Effect Of Covid-19 Lockdown On Sleep Behavior And Screen Exposure Time: An Observational Study Among Indian School Children, Biological Rhythm Research 2020;53: 628-39.
• Sohn SY, Rees P, Wildridge B, Kalk NJ, Carter B. Prevalence of problematic smartphone usage and associated mental health outcomes amongst children and young people: a systematic review, meta-analysis, and GRADE of the evidence. BMC Psychiatry 2019; 19: 356.
• Lee J, Lim H, Allen J, Choi G, Jung J. Smartphone Addiction and Depression among Low-Income Boys since COVID-The Moderating Effect of Being an Only Child. Healthcare (Basel, Switzerland) 2021;9:1350.
• Ghandour RM, Sherman LJ, Vladutiu CJ, Ali MM, Lynch SE, Bitsko RH, Blumberg SJ. Prevalence and treatment of depression, anxiety, and conduct problems in US children. J Pediatr 2019; 206: 256-67.