Factors Associated with Adherence to Self-Monitoring of Blood Glucose Among Young People with Type 1 Diabetes in China: A Cross-Sectional Study

References

• DiMeglio LA, Evans-Molina C, Oram RA. Type 1 diabetes. Lancet. 2018;391(10138):2449–2462. doi:10.1016/S0140-6736(18)31320-5
   PubMed Web of Science ®Google Scholar
• Chobot A, Polanska J, Brandt A, et al. Updated 24-year trend of Type 1 diabetes incidence in children in Poland reveals a sinusoidal pattern and sustained increase. Diabetic Med. 2017;34(9):1252–1258. doi:10.1111/dme.13345
   Web of Science ®Google Scholar
• Mayer-Davis EJ, Lawrence JM, Dabelea D, et al. Incidence Trends of Type 1 and Type 2 Diabetes among Youths, 2002–2012. N Engl J Med. 2017;376(15):1419–1429. doi:10.1056/NEJMoa1610187
   PubMed Web of Science ®Google Scholar
• Briet C, Piffaretti C, Fosse S, et al. [Epidemiology of type 1 diabetes and its complications]. Rev Prat. 2018;68(6):607–610. French.
   Google Scholar
• McGuire HC, Ji L, Kissimova-Skarbek K, et al. Type 1 diabetes mellitus care and education in China: the 3C study of coverage, cost, and care in Beijing and Shantou. Diabetes Res Clin Pract. 2017;129:32–42. doi:10.1016/j.diabres.2017.02.027
   PubMed Web of Science ®Google Scholar
• Rewers M, Pihoker C, Donaghue K, Hanas R, Swift P, Klingensmith GJ. Assessment and monitoring of glycemic control in children and adolescents with diabetes. Pediatr Diabetes. 2009;10(Suppl 12):71–81. doi:10.1111/j.1399-5448.2009.00582.x
   PubMed Web of Science ®Google Scholar
• Miller KM, Beck RW, Bergenstal RM, et al. Evidence of a strong association between frequency of self-monitoring of blood glucose and hemoglobin A1c levels in T1D exchange clinic registry participants. Diabetes Care. 2013;36(7):2009–2014. doi:10.2337/dc12-1770
   PubMed Web of Science ®Google Scholar
• Wojciechowski P, Ry┼ø P, Lipowska A, Gaw─öska M, Ma┼éecki MT. Efficacy and safety comparison of continuous glucose monitoring and self-monitoring of blood glucose in type 1 diabetes: systematic review and meta-analysis. Pol Arch Med Wewn. 2011;121(10):333–343.
   Web of Science ®Google Scholar
• Gregory JW. What are the main research findings during the last 5 years that have changed my clinical practice in diabetes medicine? Arch Dis Child. 2012;97(5):436–439. doi:10.1136/adc.2011.300710
   Web of Science ®Google Scholar
• Laffel L. Improved Accuracy of Continuous Glucose Monitoring Systems in Pediatric Patients with Diabetes Mellitus: results from Two Studies. Diabetes Technol Ther. 2016;18 Suppl 2(Suppl2):S223–233. doi:10.1089/dia.2015.0380
   Web of Science ®Google Scholar
• Czupryniak L, Barkai L, Bolgarska S, et al. Self-monitoring of blood glucose in diabetes: from evidence to clinical reality in Central and Eastern Europe–recommendations from the international Central-Eastern European expert group. Diabetes Technol Ther. 2014;16(7):460–475. doi:10.1089/dia.2013.0302
   PubMed Web of Science ®Google Scholar
• Em B. Self-monitoring of blood glucose: the basics. Clinical Diabetes. 2002;20:45–47. doi:10.2337/diaclin.20.1.45
   Google Scholar
• American Diabetes Association. Children and Adolescents: standards of Medical Care in Diabetes-2019. Diabetes Care. 2019;42(Suppl1):S148–s164. doi:10.2337/dc19-S013
   Web of Science ®Google Scholar
• DiMeglio LA, Acerini CL, Codner E, et al. ISPAD Clinical Practice Consensus Guidelines 2018: glycemic control targets and glucose monitoring for children, adolescents, and young adults with diabetes. Pediatr Diabetes. 2018;19(Suppl 27):105–114. doi:10.1111/pedi.12737
   Web of Science ®Google Scholar
• Zhou Z. Guidelines for the Prevention and Control of Type 1 Diabetes in China. China: People’s Medical Publishing House; 2012.
   Google Scholar
• Cappon G, Vettoretti M, Sparacino G, Facchinetti A. Continuous Glucose Monitoring Sensors for Diabetes Management: a Review of Technologies and Applications. Diabetes Metab J. 2019;43(4):383–397. doi:10.4093/dmj.2019.0121
   Web of Science ®Google Scholar
• Heinemann L, DeVries JH. Reimbursement for Continuous Glucose Monitoring. Diabetes Technol Ther. 2016;18 Suppl 2(Suppl2):S248–252. doi:10.1089/dia.2015.0296
   Web of Science ®Google Scholar
• McKnight JA, Gibb FW. Flash Glucose Monitoring is associated with improved glycaemic control but use is largely limited to more affluent people in a UK diabetes centre. Diabetic Med. 2017;34(5):732. doi:10.1111/dme.13315
   Web of Science ®Google Scholar
• De Geest S, Sabat├® E. Adherence to long-term therapies: evidence for action. Eur j Cardiovasc Nursing. 2003;2(4):323. doi:10.1016/S1474-5151(03)00091-4
   PubMedGoogle Scholar
• Ying G, Min W, Wei G, Xiaolei Z. Self-monitoring of blood glucose levels in children with type 1 diabetes and its influencing factors. J Nursing Sci. 2010;25(5):6–7.
   Google Scholar
• Joo EY, Lee JE, Kang HS, et al. Frequency of Self-Monitoring of Blood Glucose during the School Day Is Associated with the Optimal Glycemic Control among Korean Adolescents with Type 1 Diabetes. Diabetes Metab J. 2018;42(6):480–487. doi:10.4093/dmj.2018.0018
   Web of Science ®Google Scholar
• Wagner JA, Petry NM, Weyman K, et al. Glucose management for rewards: a randomized trial to improve glucose monitoring and associated self-management behaviors in adolescents with type 1 diabetes. Pediatr Diabetes. 2019;20(7):997–1006. doi:10.1111/pedi.12889
   Web of Science ®Google Scholar
• Wong CA, Miller VA, Murphy K, et al. Effect of Financial Incentives on Glucose Monitoring Adherence and Glycemic Control Among Adolescents and Young Adults With Type 1 Diabetes: a Randomized Clinical Trial. JAMA Pediatr. 2017;171(12):1176–1183. doi:10.1001/jamapediatrics.2017.3233
   Web of Science ®Google Scholar
• Xia W. Self monitoring of blood glucose in patients with type 1 diabetes mellitus investigation present situation analysis. China Practical Med. 2012;7(17):29–31.
   Google Scholar
• Al Hayek AA, Robert AA, Babli S, Almonea K, Al Dawish MA. Fear of Self-Injecting and Self-Testing and the Related Risk Factors in Adolescents with Type 1 Diabetes: a Cross-Sectional Study. Diabetes Therapy. 2017;8(1):75–83. doi:10.1007/s13300-016-0221-8
   Web of Science ®Google Scholar
• Almeida AC, Leandro ME, Pereira MG. Adherence and Glycemic Control in Adolescents with Type 1 Diabetes: the Moderating Role of Age, Gender, and Family Support. J Clin Psychol Med Settings. 2020;27(2):247–255. doi:10.1007/s10880-019-09662-y
   Web of Science ®Google Scholar
• Iturralde E, Weissberg-Benchell J, Hood KK. Avoidant coping and diabetes-related distress: pathways to adolescents’ Type 1 diabetes outcomes. Health Psychol. 2017;36(3):236–244. doi:10.1037/hea0000445
   PubMed Web of Science ®Google Scholar
• Nielsen NF, Gaulke A, Eriksen TM, Svensson J, Skipper N. Socioeconomic Inequality in Metabolic Control Among Children With Type 1 Diabetes: a Nationwide Longitudinal Study of 4079 Danish Children. Diabetes Care. 2019;42(8):1398–1405. doi:10.2337/dc19-0184
   Web of Science ®Google Scholar
• Thomas DM, Lipsky LM, Liu A, Nansel TR. Income Relates to Adherence in Youth with Type 1 Diabetes Through Parenting Constructs. J Dev Behav Pediatrics. 2018;39(6):508–515. doi:10.1097/DBP.0000000000000579
   Web of Science ®Google Scholar
• Miller TA, Dimatteo MR. Importance of family/social support and impact on adherence to diabetic therapy. Diabetes Metab Syndrome Obesity. 2013;6:421–426. doi:10.2147/DMSO.S36368
   PubMedGoogle Scholar
• Kyokunzire C, Matovu N, Mayega RW. Factors associated with adherence to diabetes care recommendations among children and adolescents with type 1 diabetes: a facility-based study in two urban diabetes clinics in Uganda. Diabetes Metab Syndrome Obesity. 2018;11:93–104. doi:10.2147/DMSO.S156858
   Web of Science ®Google Scholar
• Marks BE, Wolfsdorf JI. Monitoring of Pediatric Type 1 Diabetes. Front Endocrinol (Lausanne). 2020;11:128. doi:10.3389/fendo.2020.00128
   Web of Science ®Google Scholar
• Fisher WA, Kohut T, Schachner H, Stenger P. Understanding self-monitoring of blood glucose among individuals with type 1 and type 2 diabetes: an information-motivation-behavioral skills analysis. Diabetes Educ. 2011;37(1):85–94. doi:10.1177/0145721710391479
   PubMed Web of Science ®Google Scholar
• Qin ZY, Yan JH, Yang DZ, Deng HR, Yao B, Weng JP. Behavioral Analysis of Chinese Adult Patients with Type 1 Diabetes on Self-monitoring of Blood Glucose. Chin Med J. 2017;130(1):39–44. doi:10.4103/0366-6999.196574
   Web of Science ®Google Scholar
• Mancini G, Berioli MG, Santi E, et al. Flash Glucose Monitoring: a Review of the Literature with a Special Focus on Type 1 Diabetes. Nutrients. 2018;10(8). doi:10.3390/nu10080992.
   Web of Science ®Google Scholar
• Grey M, Schulman-Green D, Knafl K, Reynolds NR. A revised Self- and Family Management Framework. Nurs Outlook. 2015;63(2):162–170. doi:10.1016/j.outlook.2014.10.003
   Web of Science ®Google Scholar
• Alberti KG, Zimmet PZ. Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: diagnosis and classification of diabetes mellitus provisional report of a WHO consultation. Diabetic Med. 1998;15(7):539–553. doi:10.1002/(SICI)1096-9136(199807)15:7<539::AID-DIA668>3.0.CO;2-S
   PubMed Web of Science ®Google Scholar
• Fang J. Health Statistics. Beijing: People’s Medical Publishing House; 2012.
   Google Scholar
• Lydersen S. Statistical power: before, but not after! Tidsskrift for Den Norske Laegeforening: Tidsskrift for Praktisk Medicin, Ny Raekke. 2019;139(2):44.
   Web of Science ®Google Scholar
• Mascha EJ, Vetter TR. Significance, Errors, Power, and Sample Size: the Blocking and Tackling of Statistics. Anesth Analg. 2018;126(2):691–698. doi:10.1213/ANE.0000000000002741
   PubMed Web of Science ®Google Scholar
• Cohen S, Kamarck T, Mermelstein R. A global measure of perceived stress. J Health Soc Behav. 1983;24(4):385–396. doi:10.2307/2136404
   PubMed Web of Science ®Google Scholar
• Yang TZ, Huang HT. [An epidemiological study on stress among urban residents in social transition period]. Zhonghua Liu Xing Bing Xue Za Zhi. 2003;24(9):760–764. Chinese.
   PubMedGoogle Scholar
• Yang J, Guo J, Tang Y, et al. The mediating effect of coping styles and self-efficacy between perceived stress and satisfaction with QOL in Chinese adolescents with type 1 diabetes. J Adv Nurs. 2019;75(7):1439–1449. doi:10.1111/jan.13933
   PubMed Web of Science ®Google Scholar
• Yaning X. Preliminary study to the reliability and validity of the Simple Coping Style Scale. Chin J Clin Psychol. 1998;6:114–115.
   Google Scholar
• Wang RH, Lo FS, Chen BH, Hsu HY, Lee YJ. Short form of the Chinese version Diabetes Quality of Life for Youth Scale: a psychometric testing in Taiwanese adolescents with type 1 diabetes. Diabetes Care. 2011;34(9):1943–1945. doi:10.2337/dc11-0705
   Web of Science ®Google Scholar
• Jensen MP, McFarland CA. Increasing the reliability and validity of pain intensity measurement in chronic pain patients. Pain. 1993;55(2):195–203. doi:10.1016/0304-3959(93)90148-I
   PubMed Web of Science ®Google Scholar
• Adler NE, Newman K. Socioeconomic disparities in health: pathways and policies. Health Affairs. 2002;21(2):60–76. doi:10.1377/hlthaff.21.2.60
   PubMed Web of Science ®Google Scholar
• Pathirana TI, Jackson CA. Socioeconomic status and multimorbidity: a systematic review and meta-analysis. Aust N Z J Public Health. 2018;42(2):186–194. doi:10.1111/1753-6405.12762
   PubMed Web of Science ®Google Scholar
• Yu B, Gastwirth JL. A method of assessing the sensitivity of the Cochran-Mantel-Haenszel test to an unobserved confounder. Philos Trans a Math Phys Eng Sci. 2008;366(1874):2377–2388. doi:10.1098/rsta.2008.0030
   Web of Science ®Google Scholar
• American Diabetes Association. Glycemic Targets: standards of Medical Care in Diabetes-2020. Diabetes Care. 2020;43(Suppl1):S66–s76. doi:10.2337/dc20-S006
   Web of Science ®Google Scholar
• Chen L, Fan Y, Guo W. Relationship of economic development, family income and health status in China: the moderating role of environmental pollution perception. J Health Psychol. 2020;25(13–14):2499–2510. doi:10.1177/1359105320913953
   Web of Science ®Google Scholar
• Bryden KS, Dunger DB, Mayou RA, Peveler RC, Neil HA. Poor prognosis of young adults with type 1 diabetes: a longitudinal study. Diabetes Care. 2003;26(4):1052–1057. doi:10.2337/diacare.26.4.1052
   PubMed Web of Science ®Google Scholar
• Moore SM, Hackworth NJ, Hamilton VE, Northam EP, Cameron FJ. Adolescents with type 1 diabetes: parental perceptions of child health and family functioning and their relationship to adolescent metabolic control. Health Qual Life Outcomes. 2013;11:50. doi:10.1186/1477-7525-11-50
   Web of Science ®Google Scholar
• Schmidt C. Self-care in children with type 1 diabetes: a survey of mothers. MCN Am J Matern Child Nurs. 2007;32(4):223–229. doi:10.1097/01.NMC.0000281961.56207.9f
   PubMed Web of Science ®Google Scholar
• Zhang L, Ellis DA, Naar-King S, Moltz K, Carcone AI, Dekelbab B. Effects of socio-demographic factors on parental monitoring, and regimen adherence among adolescents with type 1 diabetes: a moderation analysis. J Child Fam Stud. 2016;25(1):176–188. doi:10.1007/s10826-015-0215-6
   Web of Science ®Google Scholar
• Frey MA, Templin T, Ellis D, Gutai J, 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):220–227. doi:10.1111/j.1399-5448.2007.00260.x
   Web of Science ®Google Scholar
• Baechle C, Stahl-Pehe A, Castillo K, Selinski S, Holl RW, Rosenbauer J. Association of family structure with type 1 diabetes management and outcomes in adolescents: a population-based cross-sectional survey. Pediatr Diabetes. 2021;22(3):482–494. doi:10.1111/pedi.13166
   Web of Science ®Google Scholar
• Gonzalez JS, Tanenbaum ML, Commissariat PV. Psychosocial factors in medication adherence and diabetes self-management: implications for research and practice. Am Psychol. 2016;71(7):539–551. doi:10.1037/a0040388
   PubMed Web of Science ®Google Scholar
• Overgaard M, Lundby-Christensen L, Grabowski D. Disruption, worries and autonomy in the everyday lives of adolescents with type 1 diabetes and their family members: a qualitative study of intrafamilial challenges. J Clin Nurs. 2020;29(23–24):4633–4644. doi:10.1111/jocn.15500
   Web of Science ®Google Scholar
• Herzer M, Hood KK. Anxiety symptoms in adolescents with type 1 diabetes: association with blood glucose monitoring and glycemic control. J Pediatr Psychol. 2010;35(4):415–425. doi:10.1093/jpepsy/jsp063
   PubMed Web of Science ®Google Scholar