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DOI: 10.18544/PEDM-23.01.0070
Pediatr Endocrinol Diabetes Metab 2017;23,1:23-29

Environmental factors affecting management of type 1 diabetes in children below the age of 10

Katarzyna Piechowiak, Beata Zduńczyk, Agnieszka Szypowska

Key words

depression, quality of life, self-efficacy, insulin pump

Abstract

Introduction. The way parents manage diabetes of their small children and environmental influence are crucial for maintaining glycemic control. The aim of the study was to assess environmental factors affecting metabolic control of young children with T1D treated with insulin pumps. Material and methods. Parents of children with T1D under the age of 10 years completed: General Self-Efficacy Scale, Parental Diabetes Quality of Life Questionnaire, Beck Depression Inventory and a questionnaire on socioeconomic factors. Results. There were analyzed 165 questionnaires. 66% of children achieved HbA1c <7.5% (<58mmol/mol). Factors associated with HbA1c≥7.5% (≥58mmol/mol) in the multiple logistic regression: single-parent families (p=0.003), low income <250EURO (p=0.017), parental education (p<0.05), snacking without parents’ permission (p=0.0006) and in parents of children ≥6 year of age – quality of life (p=0.037). In families of children <6 year of age, parents had higher self-efficacy than parents of children ≥6 year of age (p=0.046). Conclusions. Parents of young children are not homogeneous group and face different challenges. Young children of parents withlower education level and living in single-parent families are at high risk of poor diabetes management. More attention should be paid to the problem of young children snacking without parents’ permission. 

Abbreviations: BDI – Beck Depression Inventory, CI–Confidence Intervals, GSES – General Self-Efficacy Scale, HbA1c – glycated hemoglobin, OR- Odds Ratio, PDQOLQ – Parental Diabetes Quality of Life Questionnaire, T1D – type 1 diabetes


Introduction

The incidence of childhood type 1 diabetes across Europe increases by an average of approximately 3–4% per year with most remarkable rise observed among the youngest age groups. Researchers predict a doubling of new cases in children younger than 5 years of age by 2020 [1].

Diabetes management of preschool and early school children is markedly different from the care of teenagers as parents assume the whole responsibility for all diabetes care. According to earlier investigations, family functioning (for example: diabetes-specific family conflicts, parental involvement, shared responsibilities) accounts for 34% of the variance in metabolic control (compared to only 10% for adherence) [2]. Socioeconomic factors such as parental education, a family structure (a single-parent family) and parenting style influence metabolic control in children [3]. Previous studies also show that parental self-efficacy and mood disorders affect diabetes management [4, 5]

Although diabetes therapy has been intensified by means of the insulin pumps, improved devices for self-control and continuous glucose measurement, some children still do not reach the metabolic goal [6]. Little is known about environmental factors affecting metabolic control of preschool and prepubertal children. Of so far available study results, populations were not homogenous, and outcomes were limited by small parent populations of children below 10 years of age [7, 8].

The purpose of this study was to assess environmental factors affecting metabolic control of children with T1D under the age of 10 years treated with insulin pumps.


Material and methods

Parents of children under the age of 10 years, with T1D of at least 1-year duration, treated with insulin pump, completed a set of questionnaires during control visit in the Outpatient Clinic of the Department of Pediatrics at the Medical University Hospital of Warsaw: General Self-Efficacy Scale (GSES), Parental Diabetes Quality of Life Questionnaire (PDQOLQ), Beck Depression Inventory (BDI) and the questionnaire on socioeconomic factors, specially designed for this study. 

GSES, developed by M. Jaruselem and R. Schwarzer [9], consists of 10 items assessing optimistic self-beliefs related to coping with a variety of difficult demands in life. Higher scores on this measure indicate higher levels of General Self-Efficacy. Too high score may indicate overestimation of problem-solving ability. Negative coefficients were found with depression, anxiety, stress, burnout and health complaints [10].

PDQOLQ is a 59-item questionnaire based on DCCT Diabetes Quality of Life Scale for Adults [11]. It measures different aspects of life as a parent of a child with T1D. The total score was used as the assessment of general life satisfaction related to illness. Cronbach’s alpha coefficient was measured to assess internal consistency of the PDQOLQ in this study, and it was 0.92. 

BDI is a 21-item, self-report rating inventory, one of the most widely used tools to screen for symptoms of depression. The score of 19 was a cut off point for depression. Higher scores suggest more severe depressive symptoms [12].

At the same time, we collected some socioeconomic, demographic and disease related data, which could contribute to difficulties with diabetes management (table I and II). Following the Central Statistical Office of Poland, the low income was defined as earnings of less than 250EURO per month per each family member [13].

Glycated hemoglobin (HbA1c) level was measured using a high-pressure liquid chromatography method; with a range for subjects without diabetes of 4.1%–6.4% to assess diabetes control.

There were 186 parents participated in the study after giving a written informed consent. Only 165 (88.7%) fully completed questionnaires were analyzed; 21 questionnaires were excluded from the study due to insufficient responses.

Parents were stratified into two groups regarding children’s age (<6 years of age – preschool children and ≥6 years of age – early school children) and their metabolic control, following the International Society for Pediatric and Adolescent Diabetes (ISPAD) guidelines: group A with HbA1c<7.5% and group B with HbA1c≥7.5% (≥58mmol/mol) [14]

Statistical analysis was performed with Statistica 10 (StatSoft, Inc, Tulusa, USA) software. The assumption that data was sampled from population that follows Gaussian distributions was tested using the Kolmogorov and Smirnov methods. Comparisons between groups were performed using a Student t-test (unpaired, 2-tailed) or in case of non-parametric data with Mann-Whitney U test or Fisher’s exact test. Logistic regression analysis was performed to evaluate factors affecting HbA1c ≥7.5% (≥58 mmol/mol). The Odds Ratio (OR) was calculated with 95% confidence intervals (CI). P-values less than 0.05 were considered as significant. 

Characteristic of study participants stratified by children’s HbA1c is shown in table II.


Results

In our sample 66% (109/165) of children achieved HbA1c<7.5%. Factors significantly associated with HbA1c≥7.5% in logistic regression are shown in table III.

There were no statistically significant differences between the groups in parents’depressive symptoms (p=0.934), self-efficacy (p=0.492), economic status (p=0.114), quality of life (p=0.137), the number of episodes of hypoglycemia in children(without seizure and loss of consciousness), reported by parents and requiring their assistance (group A: 13 episodes vs. group B: 10 episodes; p=0.349) or the number of episodes of hyperglycemia with ketonuria without hospitalization (group A: 21 episodes vs. group B: 16 episodes; p=0.239).

Characteristics of children <6 years of age are shown in table IV. In the whole group 57% of children attended kindergarten. Only 12% children had single parented families and there were only 4 divorces reported (8%). Parents of children with HbA1c≥7.5% complained more often about “diabetes misunderstanding by other people” (47% vs. 13% of families, respectively; p=0.018). 

Characteristics of children ≥6 years of age are shown in Table IV. Compared to participants with HbA1c<7.5%, children with HbA1c≥7.5% were significantly more often parented in single-parent families (p=0.018) and more divorces were noted in these families (19% vs. 2.5%, respectively; p=0.036). These parents had lower education level (mothers p=0.040; fathers p=0.0002). In families of children with HbA1c≥7.5% the problem of snacking without parent’s permission occurred more often (p=0.022) and more parents complained about “eating many meals” (p=0.011). Factors significantly associated with HbA1c≥7.5% are shown in table III.

Comparison between children <6 and ≥6 years of age. We included 116 children ≥6 years of age with mean age 8.1±1.1 years and 49 children <6 years of age with mean age 4.6±0.9 years. There was no statistical difference between both groups regarding HbA1c (7.1±0.9% vs. 7.2±0.9%, respectively; p=0.472) and daily insulin dose (0.74±0.27U/kg vs. 0.70±0.19U/kg, respectively; p=0.463). Families of children <6 years of age had higher self-efficacy compared to parents of children ≥6 years of age (Chi-square = 6.2, p=0.046). 


Discussion

Our study concentrated on environmental factors, which may affect metabolic control of the youngest group of children with diabetes. To our knowledge, it is the first analysis of parental functioning of preschool and early school children with relatively well controlled type 1 diabetes. The average HbA1c, even in the groups not following ISPAD guidelines, was close to the recommended cut off point of 7.5%. Judging by the number of daily blood glucose measurements, we may assume that it is a group of parents motivated to achieve the best results in diabetes care of their children. Parents did not report problems with carbohydrate counting or insulin dosing, what suggests their diabetes education is sufficient. Nevertheless, in our study we found some distinguishing factors, which affect metabolic control.

Our study confirmed the results obtained by other authors [15] that parents raising children without the support of a partner more often have difficulties with management and achievement of recommended HbA1c levels. Levine et al showed that children of single parents had significantly higher HbA1c levels than children of 2-parent families did [16]. Tsiouli et al. reported that single parents were more susceptible to diabetes related stress and had more problems with achieving good metabolic control in their children [17]. Single parenting is still an understudied problem, not only in the care of children with diabetes as Brown et al. reported [18], and rising number of divorces may require additional addressing in the development of support and intervention programs. 

Although low income <250EURO had an impact on diabetes management, parents did not report lower satisfaction with life. These findings are not consistent with other studies, where researches report correlations between socioeconomic status, quality of life and metabolic control [19, 20]. However, we should consider this effect in relation to the health system and the type of insurance available to a patient, which is an indication of socioeconomic status in other countries [21]. In Poland, families of children with diabetes are not obliged to have higher insurance – most insulin types, pens, insulin pumps etc. are reimbursed. 

Although parental depression is implied as a factor directly affecting metabolic control of children with reciprocal influence [2], parents participating in our study did not present any depressive symptoms or lower satisfaction with life. Similarly, Grey showed that maternal symptoms of anxiety and depression were not related to higher HbA1c level [22]. It is a surprising result as parenting stress and depressive symptoms in parents of young children with diabetes type 1 are high [23]. We may only hypothesise that treating children with insulin pumps from the diabetes onset and relatively good metabolic control, contributed to psychological well-being of parents.

We found association between parents’ level of education and metabolic control of their children. Results of other studies assessing parents’ education level and children’s HbA1c are inconclusive [24, 25]. While results of Gesuita et al. show that metabolic control depends on the number of mother’s years of education [3], in our study paternal education seems to play a more important role, although mothers usually spend more time with children and diabetes care is mainly their responsibility. These results may be an effect of sharing responsibility for the diabetes management if fathers are present in family life. 

More parents of children with HbA1c≥7.5% reported a problem of snacking without parental permission. We may speculate about different factors affecting these results. Young children are often left in grandparents’ care. In Poland grandparents are on the one hand very important caregivers, while on the other they are not very keen on taking part in diabetes education. The need to compensate illness, the feeling of sorrow for the child and conflicts between parents and grandparents may play an important role in poor adherence to treatment. Parents of children ≥6 years of age attending schools may face another problem: an access to snacks without their control: school shops selling snacks, peers sharing their sweets, etc.. Current studies researching problems of children with diabetes at schools usually concentrate on the access to diabetes care support and diabetes management but not on children functioning in the school environment [26]. Moreover, parents of children ≥6 years of age with poor metabolic control complained more often about “eating many meals”. Considering children’s family situation we should reflect upon the possibility that snacking is a coping strategy for these patients. 

When we examined groups divided by the age of children and their metabolic control, we found even more interesting results. First of all, it is clear that parents of children below 10 year of age are not homogeneous group, facing different challenges. Parents of younger children had higher self-efficacy compared to parents of children ≥6 years of age. Streisand et al. presented that parents with lower self-efficacy for the diabetes regimen reported more parenting stress, which had an impact on child-health outcomes [27]. School children who did not achieve recommended level of metabolic control were more often parented in single parent families with more divorces noted there. Their parents had lower education and lower income. They reported on the verge of significance more family conflicts affecting diabetes management. It was also the only group where we found the parental quality of life was associated with worse metabolic control. However, current knowledge based mostly on studies carried out on adolescents and their families shows that family functioning plays a great role in the child health outcomes [28]. Young children brought up in families with low socioeconomic status are more often admitted to hospitals [29]. Family functioning has an impact not only on present health but also in adulthood. Roustit et al. found the association between a negative family social environment in childhood and poor self-perceived health in adulthood [15]. Furthermore, parental socioeconomic status has great impact on chances of longer survival: Berhan et al. found that low socioeconomic status experienced in childhood by patients with childhood-onset diabetes type 1 increases the risk of mortality after the age of 18 [30]

We have to acknowledge some limitations of our study. Our data is based on self-report questionnaires without further interviews to clarify doubts about participants’ answers or to verify information. 


Conclusion

Parents of children with HbA1c≥7.5% are more often single-parents, have lower income and lower education level. Parents of young children (up to the age of 10) are not homogeneous group. They face different challenges and therefore they should by analyzed in smaller, age dependent groups. More attention should be paid to the problem of snacking without parent’s permission and feeding by other family members. 

References

1. Patterson CC, Dahlquist GG, Gyurus E, Green A, Soltesz G. Incidence trends for childhood type 1 diabetes in Europe during 1989-2003 and predicted new cases 2005–20: a multicentre prospective registration study. Lancet. 2009;373(9680):2027-33. Epub 2009/06/02.

2. Whittemore R, Jaser S, Guo J, Grey M. A conceptual model of childhood adaptation to type 1 diabetes. Nursing Outlook. 2010;58(5):242-51. Epub 2010/10/12.

3. 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. Pediatric Diabetes. 2016. Epub 2016/03/19.

4. Whittemore R, Jaser S, Chao A, Jang M, Grey M. Psychological experience of parents of children with type 1 diabetes: a systematic mixed-studies review. The Diabetes Educator. 2012;38(4):562-79. Epub 2012/05/15.

5. Eckshtain D, Ellis DA, Kolmodin K, Naar-King S. The effects of parental depression and parenting practices on depressive symptoms and metabolic control in urban youth with insulin dependent diabetes. Journal of Pediatric Psychology. 2010;35(4):426-35. Epub 2009/08/28.

6. Wood JR, Miller KM, Maahs DM, Beck RW, DiMeglio LA, Libman IM et al. Most youth with type 1 diabetes in the T1D Exchange Clinic Registry do not meet American Diabetes Association or International Society for Pediatric and Adolescent Diabetes clinical guidelines. Diabetes Care. 2013;36(7):2035-7. Epub 2013/01/24.

7. Lawton J, Waugh N, Barnard KD, Noyes K, Harden J, Stephen J et al. Challenges of optimizing glycaemic control in children with Type 1 diabetes: a qualitative study of parents’ experiences and views. Diabetic Medicine: a Journal of the British Diabetic Association. 2015;32(8):1063-70. Epub 2014/12/05.

8. Thompson SJ, Auslander WF, White NH. Comparison of single-mother and two-parent families on metabolic control of children with diabetes. Diabetes Care. 2001;24(2):234-8. Epub 2001/02/24.

9. Scholz U, Gutiérrez Doña B, Sud S, Schwarzer R. Is General Self-Efficacya Universal Construct? Psychometric Findings from 25 Countries. European Journal of Psychological Assessment. 2002;18(3):242-251.

10. Juczyński Z. Narzędzia Pomiaru w Promocji i Psychologii Zdrowia 2009. Pracownia Testów Psychologicznych.

11. Bradley C. Handbook of Psychology and Diabetes: A Guide to Psychological Measurement in Diabetes Research and Practice. 1994. Harwood Academic.

12. Beck AS, Garbin MG. Psychometric properties of the Beck Depression Inventory: Twenty-five years of evaluation. Clin Psychol Rev. 1988;8(1):77-100.

13. CS O. Statistical Yearbook of the Republic of Poland. Statistical Publishing Establishment. LXXI.

14. Rewers M, Pihoker C, Donaghue K, Hanas R, Swift P, Klingensmith GJ. Assessment and monitoring of glycemic control in children and adolescents with diabetes. Pediatric Diabetes. 2009;10 Suppl 12:71-81. Epub 2009/09/17.

15. Roustit C, Campoy E, Renahy E, King G, Parizot I, Chauvin P. Family social environment in childhood and self-rated health in young adulthood. BMC Public Health. 2011;11:949. Epub 2011/12/24.

16. Levine BS, Anderson BJ, Butler DA, Antisdel JE, Brackett J, Laffel LM. Predictors of glycemic control and short-term adverse outcomes in youth with type 1 diabetes. The Journal of Pediatrics. 2001;139(2):197-203. Epub 2001/08/07.

17. Tsiouli E, Alexopoulos EC, Stefanaki C, Darviri C, Chrousos GP. Effects of diabetes-related family stress on glycemic control in young patients with type 1 diabetes: Systematic review. Canadian Family Physician Medicin de Famille Canadien. 2013;59(2):143-9. Epub 2013/02/19.

18. Brown RT, Wiener L, Kupst MJ, Brennan T, Behrman R, Compas BE et al. Single parents of children with chronic illness: an understudied phenomenon. Journal of Pediatric Psychology. 2008;33(4):408-21. Epub 2007/10/02.

19. Redondo MJ, Connor CG, Ruedy KJ, Beck RW, Kollman C, Wood JR et al. Pediatric Diabetes Consortium Type 1 Diabetes New Onset (NeOn) Study: factors associated with HbA1c levels one year after diagnosis. Pediatric Diabetes. 2014;15(4):294-302. Epub 2013/07/31.

20. Hirose M, Beverly EA, Weinger K. Quality of life and technology: impact on children and families with diabetes. Current Diabetes Reports. 2012;12(6):711-20. Epub 2012/08/21.

21. Lin MH, Connor CG, Ruedy KJ, Beck RW, Kollman C, Buckingham B et al. 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 Technology & Therapeutics. 2013;15(11):929-34. Epub 2013/07/23.

22. Grey M. Coping and Psychosocial Adjustment in Mothers of Young Children with Type 1 Diabetes. Children’s health Care: Journal of the Association for the Care of Children’s Health. 2009;38(2):91-106. Epub 2009/05/05.

23. Patton SR, Dolan LM, Smith LB, Thomas IH, Powers SW. Pediatric parenting stress and its relation to depressive symptoms and fear of hypoglycemia in parents of young children with type 1 diabetes mellitus. Journal of Clinical Psychology in Medical Settings. 2011;18(4):345-52. Epub 2011/06/07.

24. Haugstvedt A, Wentzel-Larsen T, Rokne B, Graue M. Psychosocial family factors and glycemic control among children aged 1–15 years with type 1 diabetes: a population-based survey. BMC Pediatrics. 2011;11:118. Epub 2011/12/22.

25. Stefanowicz A, Birkholz D, Mysliwiec M, Niedzwiecki M, Owczuk R, Balcerska A. Analysis of the impact of environmental and social factors, with a particular emphasis on ed-ucation, on the level of metabolic control in type 1 diabetes in children. Endokrynologia Polska. 2012;63(1):34-41.

26. Jacquez F, Stout S, Alvarez-Salvat R, Fernandez M, Villa M, Sanchez J et al. Parent perspectives of diabetes management in schools. The Diabetes Educator. 2008;34(6):996-1003. Epub 2008/12/17.

27. Streisand R, Swift E, Wickmark T, Chen R, Holmes C. Pediatric parenting stress among parents of children with type 1 diabetes: the role of self-efficacy, responsibility, and fear. Journal of Pediatric Psychology. 2005;30(6):513-21.

28. Herge WM, Streisand R, Chen R, Holmes C, Kumar A, Mackey ER. Family and youth factors associated with health beliefs and health outcomes in youth with type 1 diabetes. Journal of Pediatric Psychology. 2012;37(9):980-9. Epub 2012/06/05.

29. Sayers A, Thayer D, Harvey JN, Luzio S, Atkinson MD, French R et al. Evidence for a persistent, major excess in all cause admissions to hospital in children with type-1 diabetes: results from a large Welsh national matched community cohort study. BMJ open. 2015;5(4):e005644. Epub 2015/04/15.

30. Berhan YT, Eliasson M, Mollsten A, Waernbaum I, Dahlquist G. Impact of parental socioeconomic status on excess mortality in a population-based cohort of subjects with childhood-onset type 1 diabetes. Diabetes Care. 2015;38(5):827-32. Epub 2015/02/25.

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DOI: 10.18544/PEDM-23.01.0070
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