Bibliyometrik Analiz Açısından Sosyal Risk Koşullarının Pediatrik Tip 1 Diyabet Üzerine Etkileri

Abstract

Amaç: Bu çalışma, yoksunluk, yoksulluk, eşitsizlik, düşük sosyo-ekonomik koşullar ve incinebilirlik faktörlerinin Pediatrik Tip 1 diyabet üzerindeki etkilerini bibliyometrik analiz yöntemleri ile derinlemesine incelemeyi amaçlamaktadır. Yöntem: Web of Science veri tabanı anahtar sözcükler kullanılarak taranmıştır. Elde edilen yayınların başlıkları ve özetleri amaçlanan konuyla ilişkisi açısından çocuk endokrinolojisi uzmanı tarafından gözden geçirilerek ikinci bir elemeye tabi tutulmuştur. Elemeden geçen yayınlar üzerinden performans analizleri, co-citation, co-occurrence analizleri uygulanmıştır. Analizler, R tabanlı Bibliometrix yazılımı, Python ve Microsoft Excel kullanılarak yapılmıştır. Bulgular: İlk taramada 469 sayıda makale elde edilmiş, elemeden sonra 284 makale araştırılan konuyla ilişkili bulunmuştur. Ortak atıf analizinin sonucunda üç ana temaya ulaşılmıştır: (1) Tip 1 Diyabet Yönetimi ve Klinik Sonuçlar, (2) Tip 1 Diyabetle İlgili Yoksunluk ve Sosyo-Ekonomik Determinantlar ve (3) Sosyo-Ekonomik ve Kültürel Faktörlerin Tip 1 Diyabet Yönetimi ve Sonuçları Üzerine Kümülatif Etkileri. Co-Occurrence analizlerinin ardından, "Diyabet ve Çocuk/Ergen Popülasyonları," "Diyabetin Epidemiyolojik Boyutları," "Diyabet ve Yaşam Kalitesi," "Diyabetle İlgili Teknolojik ve Sigortalı Çözümler," "Pediyatrik Sağlık ve Diyabet," "İnsülin Uygulama ve Glukoz Monitörleme Stratejileri" ve "Diyabet Yönetiminde Sağlık Politikalarının Rolü" gibi tematik alanlar belirlenmiştir. Sonuç: Bu bulgular, sağlık politika yapıcılar için, özellikle sosyo-ekonomik dezavantajlı gruplara yönelik daha etkin ve kapsayıcı stratejiler geliştirilmesi gerekliliğini ortaya koymaktadır. Ayrıca, bu çalışma, diyabet yönetimi ve sonuçlarının sosyo-ekonomik ve kültürel faktörlerle nasıl etkileşime girdiğini anlamada önemli bir temel oluşturmaktadır. Bu nedenle sağlık hizmetini verenler düzeyinde de farkındalık ve yöntem geliştirme açısından dayanak oluşturacaktır.

Keywords

• Diyabet
• Pediatri
• Sosyal
• Eşitsizlik
• Düşük bibliyometri

The Effects of Social Risk Conditions on Pediatric Type 1 Diabetes in Terms of Bibliometric Analysis

Abstract

Objective: This study aims to deeply investigate the literature about effects of deprivation, poverty, low socioeconomic conditions, and vulnerability factors on pediatric type 1 diabetes using bibliometric analysis methods. Method: The Web of Science database was searched using keywords. The titles and abstracts of the obtained publications were reviewed by a pediatric endocrinologist regarding their relevance to the intended subject and subjected to a second screening. Performance, co-citation, and co-occurrence analyses were applied to the publications that passed the screening. The analyses used R-based Bibliometrix software, Python, and Microsoft Excel. Findings: Initially, 469 articles were obtained, and after screening, 284 articles were found relevant to the researched subject. The co-citation analysis resulted in three main themes: (1) Management and Clinical Outcomes of Type 1 Diabetes, (2) Deprivation and Socioeconomic Determinants Related to Type 1 Diabetes, and (3) Cumulative Effects of Socioeconomic and Cultural Factors on the Management and Outcomes of Type 1 Diabetes. Following the co-occurrence analyses, thematic areas such as "Diabetes in Children/Adolescent Populations," "Epidemiological Dimensions of Diabetes," "Diabetes and Quality of Life," "Technological and Insured Solutions Related to Diabetes," "Pediatric Health and Diabetes," "Insulin Application and Glucose Monitoring Strategies," and "The Role of Health Policies in Diabetes Management" were identified. Conclusion: These findings highlight health policymakers' need to develop more effective and inclusive strategies for socio-economically disadvantaged groups. Moreover, this study provides important data to explore how much emphasis researchers have placed on social determinants of health. This might serve as a basis for understanding how diabetes management and outcomes interact with socioeconomic and cultural factors. Thus, it will also serve as a foundation for awareness and method development at the healthcare provider level.

Keywords

• diabetes
• pediatrics
• social
• deprivation
• disparity
• poverty
• bibliometrics

References

1. 1. International Diabetes Federation. Diabetes atlas [İnternet] 2021 [cited 2023 Dec 29]. Available from: https://diabetesatlas.org/atlas/tenth-edition
2. 2. Willi SM, Miller KM, DiMeglio LA, Klingensmith GJ, Simmons JH, Tamborlane WV, et al & T1D Exchange Clinic Network. Racial-ethnic disparities in management and outcomes among children with type 1 diabetes. Pediatr. 2015;135(3):424-34.
3. 3. Lado JJ and Lipman TH. Racial and ethnic disparities in the incidence, treatment, and outcomes of youth with type 1 diabetes. Endocrinol. and Metab. Clin., 2016; 45(2):453-61.
4. 4. Virmani A, Brink SJ, Middlehurst A, Mohsin F, Giraudo F, Sarda A, Ajmal S, von Oettingen JE, Pillay K, Likitmaskul S, Calliari LE, Craig ME. ISPAD Clinical Practice Consensus Guidelines 2022: Management of the child, adolescent, and young adult with diabetes in limited resource settings. Pediatr Diabetes. 2022 Dec;23(8):1529-1551. doi: 10.1111/pedi.13456. PMID: 36537524.
5. 5. Lin MH, Connor CG, Ruedy KJ, Beck RW, Kollman C, Buckingham B, et al & Pediatric Diabetes Consortium. Race, socioeconomic status, and treatment center are associated with insulin pump therapy in youth in the first year following diagnosis of type 1 diabetes. Diabetes Technol Ther. 2013; 15(11):929-34.
6. 6. Anderson B, Ho J, Brackett J, Finkelstein D and Laffel L. Parental involvement in diabetes management tasks: relationships to blood glucose monitoring adherence and metabolic control in young adolescents with insulin-dependent diabetes mellitus. J Pediatr. 1997;130(2):257-65.
7. 7. Hood KK. Butler DA, Anderson BJ and Laffel LM. Updated and revised diabetes family conflict scale. Diabetes care. 2007;30(7):1764-69.
8. 8. Donthu N, Kumar S, Mukherjee D, Pandey N and Lim WM. How to conduct a bibliometric analysis: An overview and guidelines. J Bus Res. 2021;133:285-96.

9. 9. Kurutkan MN and Terzi M. Sağlık hizmetlerinde dış kaynak kullanımının Bibliyometrik analizi. Sağlık Bilimlerinde Değer. 2022; 12(3):417-31.
10. 10. Zupic I and Čater T. Bibliometric methods in management and organization. Organ Res Methods. 2015;18(3):429-72.
11. 11. Karayel T and Kurutkan MN. Covid 19 Sürecinde Yapay Zekâ ve Bileşenleri İle İlgili Yayınların Bibliyometrik Analizi. Sağlık Akademisyenleri Dergisi. 2022; 9(3):220-33.
12. 12. Aria M and Cuccurullo C. Bibliometrix: An R-tool for comprehensive science mapping analysis. J Informetr. 2017; 11(4): 959-75.
13. 13. Bağiş M, Kryeziu L, Kurutkan MN, Krasniqi BA, Yazici O and Memili E. Topics, trends and theories in family business research: 1996–2020. Int. Entrepreneurship Manag J. 2023; 1-37.
14. 14. Gülhan PY and Kurutkan MN. Bibliometric analysis of covid-19 publications in the field of chest and infectious diseases. Duzce Med J. 2021; 23(1):30-40.
15. 15. Streisand R, Swift E, Wickmark T, Chen R and Holmes CS. Pediatric parenting stress among parents of children with type 1 diabetes: the role of self-efficacy, responsibility, and fear. Pediatr Psychol. 2005;30(6):513-21.
16. 16. Cengiz E, Xing D, Wong JC, Wolfsdorf JI, Haymond MW, Rewers A, et al and T1D Exchange Clinic Network. Severe hypoglycemia and diabetic ketoacidosis among youth with type 1 diabetes in the T1D Exchange clinic registry. Pediatr Diabetes. 2013;14(6):447-54.
17. 17. Clements MA, Foster NC, Maahs DM, Schatz DA, Olson BA, Tsalikian E, et al and T1D Exchange Clinic Network. Hemoglobin A1c (HbA1c) changes over time among adolescent and young adult participants in the T1D exchange clinic registry. Pediatr Diabetes. 2016;17(5):327-36.
18. 18. Cohen D, Lumley MA, Naar-King S, Partridge T, and Cakan N. Child behavior problems and family functioning as predictors of adherence and glycemic control in economically disadvantaged children with type 1 diabetes: a prospective study. J Pediatr Psychol. 2004;29(3):171-84.
19. 19. Addala A, Auzanneau M, Miller K, Maier W, Foster N, Kapellen T and Holl RW. A decade of disparities in diabetes technology use and HbA1c in pediatric type 1 diabetes: a transatlantic comparison. Diabetes Care. 2021; 44(1):133-40.
20. 20. Landolt MA, Ribi K, Laimbacher J, Vollrath M, Gnehm HE and Sennhauser FH. Brief report: Posttraumatic stress disorder in parents of children with newly diagnosed type 1 diabetes. J Pediatr Psychol. 2002: 27(7):647-52.
21. 21. Duke DC, Geffken GR, Lewin AB, Williams LB, Storch EA and Silverstein JH. Glycemic control in youth with type 1 diabetes: Family predictors and mediators. J Pediatr Psychol. 2008: 33(7):719-27.
22. 22. Campbell MS, Schatz DA, Chen V, Wong JC, Steck A, Tamborlane WV et al and T1D Exchange Clinic Network. A contrast between children and adolescents with excellent and poor control: the T1D Exchange clinic registry experience. Pediatr Diabetes. 2014; 15(2):110-7.
23. 23. Didsbury MS, Kim S, Medway MM, Tong A, McTaggart SJ, Walker AM and Wong G. Socio‐economic status and quality of life in children with chronic disease: a systematic review. J Paediatr Child Health. 2016; 52(12):1062-9. 24. Sherr JL, Hermann JM, Campbell F, Foster NC, Hofer SE, Allgrove J and Warner JT. Use of insulin pump therapy in children and adolescents with type 1 diabetes and its impact on metabolic control: comparison of results from three large, transatlantic paediatric registries. Diabetologia. 2016: 59(1):87-91.
24. 25. Karges B, Schwandt A, Heidtmann B, Kordonouri O, Binder E, Schierloh U and Holl RW. Association of insulin pump therapy vs insulin injection therapy with severe hypoglycemia, ketoacidosis, and glycemic control among children, adolescents, and young adults with type 1 diabetes. JAMA. 2017; 318(14):1358-66.
25. 26. Juvenile Diabetes Research Foundation Continuous Glucose Monitoring Study Group. Continuous glucose monitoring and intensive treatment of type 1 diabetes. N Engl J Med. 2008; 359(14):1464-76.
26. 27. Agarwal S, Schechter C, Southern W, Crandall JP and Tomer Y. Preadmission diabetes-specific risk factors for mortality in hospitalized patients with diabetes and coronavirus disease 2019. Diabetes Care. 43(10); 2020: 2339-44.
27. 28. Hill-Briggs F, Adler NE, Berkowitz SA, Chin MH, Gary-Webb TL, Navas-Acien A and Haire-Joshu D. Social determinants of health and diabetes: a scientific review. Diabetes care. 2021;44(1):258.
28. 29. Delamater AM, de Wit M, McDarby V, Malik JA, Hilliard ME, Northam E and Acerini CL. ISPAD Clinical Practice Consensus Guidelines 2018: Psychological care of children and adolescents with type 1 diabetes. Pediatr. Diabetes. 2018;19:237-49.
29. 30. Gallegos‐Macias AR, Macias SR, Kaufman E, Skipper B and Kalishman N. Relationship between glycemic control, ethnicity and socioeconomic status in Hispanic and white non‐Hispanic youths with type 1 diabetes mellitus. Pediat. Diabetes. 2003; 4(1):19-23.
30. 31. Auslander, WF, Thompson S, Dreitzer D, White NH and Santiago JV. Disparity in glycemiccontrol and adherence between African-American and Caucasian youths with diabetes: family and community contexts. Diabetes care. 1997;20(10):1569-75.
31. 32. Hassan K, Loar R, Anderson BJ and Heptulla RA. The role of socioeconomic status, depression, quality of life, and glycemic control in type 1 diabetes mellitus. J. Pediatr. 2006; 149(4):526-31.
32. 33. Frey MA, Templin T, Ellis D, Gutai J and Podolski CL. Predicting metabolic control in the first 5 yr after diagnosis for youths with type 1 diabetes: the role of ethnicity and family structure. Pediatr. Diabetes. 2007; 8(4):220-7.
33. 34. Helgeson VS, Siminerio L, Escobar O and Becker D. Predictors of metabolic control among adolescents with diabetes: a 4-year longitudinal study. J Pediatr Psychol. 2009; 34(3):254-70.
34. 35. Thompson SJ, Auslander WF and White N. H. Comparison of single-mother and two-parent families on metabolic control of children with diabetes. Diabetes Care. 2001;24(2), 234-238.
35. 36. Springer, D., Dziura, J., Tamborlane, WV, Steffen AT, Ahern JH, Vincent M and Weinzimer SA. Optimal control of type 1 diabetes mellitus in youth receiving intensive treatment. J. Pediatr. 2006; 149(2): 227-32.
36. 37. Chiang JL, Kirkman MS, Laffel LM and Peters AL. Type 1 diabetes through the life span: a position statement of the American Diabetes Association. Diabetes care. 2014; 37(7):2034.
37. 38. Varni JW, Burwinkle TM, Jacobs JR, Gottschalk M, Kaufman F and Jones KL. The PedsQL™ in type 1 and type 2 diabetes: reliability and validity of the Pediatric Quality of Life Inventory™ generic core scales and type 1 diabetes module. Diabetes care. 2003; 26(3): 631-7.
38. 39. Moscrop A, Ziebland S, Roberts N and Papanikitas A. A systematic review of reasons for and against asking patients about their socioeconomic contexts. Int J Equity Health. 2019;18(1):1-15.
39. 40. Limbert C, Tinti D, Malik F, Kosteria I, Messer L, Jalaludin MY et al. ISPAD Clinical Practice Consensus Guidelines 2022: The delivery of ambulatory diabetes care to children and adolescents with diabetes. Pediatr. Diabetes. 2022; 23(8):1243-69.
40. 41. Garg SK, McVean JJ. Development and Future of Automated Insulin Delivery (AID) Systems. Diabetes Technol Ther. 2024 Mar;26(S3):1-6. doi: 10.1089/dia.2023.0467. PMID: 38377322
41. 42. Lipman TH and Hawkes CP. Racial and socioeconomic disparities in pediatric type 1 diabetes: time for a paradigm shift in approach. Diabetes Care. 2021; 44(1):14-6.
42. 43. Chen X, Pei Z, Zhang M, Xu Z, Zhao Z, Lu W, Chen L, Luo F, Chen T, Sun C. Glycated Hemoglobin (HbA1c) Concentrations Among Children and Adolescents With Diabetes in Middle- and Low-Income Countries, 2010-2019: A Retrospective Chart Review and Systematic Review of Literature. Front Endocrinol (Lausanne). 2021 Apr 12;12:651589. doi: 10.3389/fendo.2021.651589
43. 44. Gesuita R., Skrami E, Bonfanti R, Cipriano P, Ferrito L, Frongia P et al. The role of socio‐economic and clinical factors on HbA1c in children and adolescents with type 1 diabetes: an Italian multicentre survey. Pediatr Diabetes. 2017; 18(3):241-8.
44. 45. Nielsen NF, Gaulke A, Eriksen TM, Svensson J and Skipper N. Socioeconomic inequality in metabolic control among children with type 1 diabetes: a nationwide longitudinal study of 4,079 Danish children. Diabetes care. 2019;42(8):1398-405.
45. 46. Milton B, Holland P and Whitehead M. The social and economic consequences of childhood‐onset Type 1 diabetes mellitus across the lifecourse: a systematic review. Diabet Med. 2006;23(8):821-9.
46. 47. Auzanneau M, Rosenbauer J, Warncke K, Maier W, Kamrath C, Hofmann T et al. Frequency of ketoacidosis at diagnosis of pediatric type 1 diabetes associated with socioeconomic deprivation and urbanization: results from the German Multicenter DPV Registry. Diabetes Care. 2022; 45(8):1807-13.
47. 48. Cox C, Alyahyawi N, Ornstein A and Cummings EA. Experience of caring for a child with type 1 diabetes mellitus in a food-insecure household: A qualitative evaluation. Can J Diabetes. 2021; 45(1):64-70.
48. 49. Ergin BD, Ergin I and Gökşen D. Fear of hypoglycemia and longer disease duration associated with physical activity avoidance in children and adolescents with type 1 diabetes mellitus. J Clin Res Pediatr Endocrinol. 2023;15(3):238.
49. 50. Holt RI, DeVries H, Hess-Fischl A, Hirsch IB, Kirkman MS, Klupa T, et al. The management of type 1 diabetes in adults. A consensus report by the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD). Diabetes care. 2021; 44(11):2589-625.
50. 51. Smith A and Harris C. Type 1 diabetes: management strategies. Am Fam Physician. 2018; 98(3):154-162. 52. Man F, Yılmaz C and Kurutkan MN. İnsan Kaynakları Yönetiminde Eğitim ve Geliştirme Alanının Bibliyometrik Analizi. Int. J Soc Sci Educ Stud Research, 2023; 9(1):15-35. 53. Cinoğlu M and Kurutkan MN. Bilim Haritalama Tekniklerine Göre Altı Sigma Kavramı.DUSBED. 2021; 11(1):58-75.