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Mental Health Frontiers in Clinical Drug Research-Diabetes & Obesity, Vol. 7 69
development of fine motor, problem-solving, and coping skills. The recommended metabolic values and HbA1c levels should be in line with those expected for age and developmental stage and should be reviewed regularly as the child develops.
Concerning the stages of life, due to their prominent biological and psychological significance, the challenges of adolescence and the management of type-1 diabetes in adolescence should also be highlighted. Keeping glycemic control in adolescents with diabetes in the optimal range is highly dependent on the degree of adherence [68], and the role of appropriate self-management and adequate glycemic control in preventing long-term complications have been demonstrated [82]. However, proper self-management is often not implemented in this age [83, 84]. Although chronic diabetes-specific complications are rare in adolescents, their pathogenesis begins soon after diagnosis is made, and the acceleration of the pathological condition is observed during the puberty phase [85]. Among adolescents diagnosed with diabetes, glycemic control aims to keep HbA1c levels below 58 mmol/mol (7.5%) and minimise hypoglycaemic episodes [86].
Several studies confirm that the majority of adolescents with diabetes do not adhere to an adequate therapeutic regimen [87 - 89]. The rate of nonadherence for glucose monitoring ranges from 30% to 80% [90]. According to Cox [91] and Petitti [92], young people with HbA1c levels outside the target range in the US would urgently need to develop effective treatment strategies, as the significant reduction in therapeutic adherence and metabolic control at this stage of developmental psychology requires clinical attention [93 - 95]. It is important to emphasise that new treatment methods and approaches are needed given the complexity of T1DM care in adolescence [96]. Inadequate therapeutic adherence, through suboptimal glycemic control and diabetes-specific complications, can have serious clinical consequences [97], can be an acute complication of diabetic ketoacidotic coma, and can increase morbidity and associated medical conditions. Furthermore, it can increase the number of hospitalisations and clinical visits, leading to higher overall mortality [98, 99]. It is also associated with several mental disorders, such as depression [88, 99], eating disorders [100], and pathological anxiety from hypoglycemia [101]. Therefore, children with inadequate glycemic control may face extremely severe consequences in terms of quality of life, family relationship dynamics and functioning, and financial burdens [102, 103].
Factors Influencing Diabetes-Specific Adherence
Factors influencing diabetes-specific adherence can be categorised into four groups:
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the characteristics of the illness and its treatment,
intrapersonal factors,
interpersonal factors,
environmental factors.
The Characteristics Of The Illness And The Related Factors
Several characteristics of diabetes and its treatment have also been associated with therapeutic cooperation, including the complexity of the treatment and the duration of the illness. Regarding the complexity of treatment in general, research has concluded that the more complex the treatment regimen, the less likely the patient is to follow it. Indicators of the complexity of the treatment are the frequency of self-management behaviours (i.e. how many times a patient needs to perform one behaviour per day). Paes et al. [104] examined the prevalence of inadequate therapeutic cooperation among 91 diabetic individuals and its correlations with the frequency of drug dosage. Their results showed better adherence in individuals with a lower frequency of medication (once per day) than more frequent (three times a day) medication use. Dailey et al. [105] stated a similar conclusion, with patients taking a single drug showing better short- and long-term adherent behaviour than those taking two or more drugs simultaneously.
According to the literature, a negative relationship can be found between the duration of the illness and adherence. Thus, the longer the duration of diabetes, the less likely the patient will show adequate therapeutic cooperation. Glasgow et al. [67] examined adherent behaviour in various diabetes-specific areas (insulin treatment, blood glucose measurement, diet, physical activity) and their association with glycemic control among 93 individuals diagnosed with T1DM (mean age 28 years). Concerning the treatment areas, a significant association was found between physical activity and the duration of diabetes. Patients who have been living with diabetes for less than ten years have reported higher levels of physical activity (exercise several times a week) than those who have had diabetes for more than ten years. Patients with a long medical history also reported a higher proportion of foods that were not suitable for their diet, meaning that they were less able to follow their diet. Jaros-Chobot et al. [106] investigated 183 American and 80 Polish children with T1DM (mean age 13 years) to map the associations between adherence and glycemic control. Their results showed a correlation between the duration of the illness and insulin treatment. Children with a long medical history were more likely to forget their insulin injections than those with a shorter duration of diabetes.
Mental Health Frontiers in Clinical Drug Research-Diabetes & Obesity, Vol. 7 71
Intrapersonal Factors
Several important factors were found to be associated with adherence. These were age, gender, self-esteem, self-efficacy, stress, and comorbid depressive disorder. According to Glasgow et al. [69], there is an association between age and physical activity in patients with T1DM. Patients over 25 years of age reported a lower frequency of physical activity than the younger age group. No association was found between age and other diabetes-specific treatment areas. Weissberg­Benchell et al. [107] examined these associations among 144 adolescents with T1DM. They concluded an association between age and insulin treatment, meaning that older people were more likely to receive inadequate insulin treatment than younger children. Anderson et al. [108] studied 89 children (age between 10–15 years) to map the association between adherence and glycemic control. Their results showed that younger children reported a higher frequency of blood glucose self-monitoring than older ones.
Research has also found a relationship between gender and adherence. Glasgow et al. [69] found that men reported a higher frequency of physical activity than women while consuming more calories, following a proper diet, and showing a lower level of therapeutic cooperation with diet.
There was also a relationship between self-esteem and adherent behaviour in terms of self-management. Patients with T1DM with higher levels of self-esteem reported a higher frequency of physical activity and adequate insulin therapy [109]. Murphy-Bennett et al. [110] found that lower self-esteem was associated with less frequent self-monitoring of blood glucose levels among adolescents with T1DM.
The role of self-efficacy has also been studied in adhering to prescribed treatment for diabetes. According to the results of Plotnikoff et al. [111], diabetes-specific self-efficacy beliefs proved to be the strongest predictors of physical activity. Senecal et al. [112] reported that self-efficacy beliefs were strong predictors of adherent behaviour, and both a sense of self-efficacy and appropriate therapeutic cooperation predicted life satisfaction among patients with T1DM. Ott et al. [113], in their research with 143 adolescents diagnosed with T1DM, concluded that self-efficacy was a significant predictor of the extent of therapeutic cooperation in diabetes.
The literature confirms that stress and emotional problems are also significantly associated with adherence. A strong association can be found between stress and adherence to a diabetes-specific diet (in terms of the amount and type of diet) among patients with type 1 and type 2 diabetes. Peyrot et al. [114] examined the relationship between adherence, diabetes-specific distress, and glycemic control
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among 57 patients with T1DM and 61 patients with T2DM. Their results showed that the higher the psychosocial distress reported by a patient, the less appropriate is the therapeutic interaction with the prescribed treatment regimen, and the poorer is glycemic control. Mollema et al. [115] found that T1DM patients with extreme fear of insulin treatment and blood glucose measurement were characterised by lower levels of therapeutic cooperation and higher levels of emotional distress. Schlundt et al. [116] classified T1DM patients into different groups according to the problems they experienced in adhering to the prescribed diet. They found that two groups of patients, emotional eaters and diet-bingers, could have been characterised by negative emotions such as stress and depression and inappropriate adherent behaviour.
The incidence of depression is twice as high among patients with diabetes as in the general population [117]. Patients with comorbid depression are more likely to develop complications [118], have poorer glycemic control [93], and are less cooperative with the therapeutic regimen than those without depression. Comorbid depression is also associated with higher costs [79].
Interpersonal Factors
Several studies have identified the relationship between interpersonal factors and therapeutic collaboration. These investigations mainly focused on the relationship between patients and health professionals and the quality of social support. Adequate communication between patients and healthcare professionals was associated with a higher level of adherence. Among T2DM patients, the use of oral antidiabetics and monitoring of blood glucose levels were significantly worse in patients who did not consider their communication with their physicians to be satisfactory [79]. As one of the most significant components of social support among children with T1DM, the degree of parental involvement showed a significant correlation with adherence to blood glucose self-monitoring. Children and adolescents with T1DM who experienced higher parental involvement in blood glucose self-monitoring reported a higher level of daily blood glucose self­monitoring [109]. Glasgow et al. [69] examined adherence in a sample of adolescents and adults with T1DM, concluding that in both adults and adolescents, illness-specific social support was associated with a higher level of adherence in the areas of insulin treatment and blood glucose measurement. Also, several studies have demonstrated a relationship between a low level of social support and inadequate adherence [116, 119].
Environmental Factors
Two environmental factors, namely high-risk situations and environmental systems, have been associated with inadequate adherence among diabetic youth.
Mental Health Frontiers in Clinical Drug Research-Diabetes & Obesity, Vol. 7 73
Adherent behaviour must also be maintained in an ever-changing environment (e.g. home, school, workplace, etc.) with different needs and priorities. As circumstances change, patients face various challenges to maintain proper self­management. Patients are often faced with a choice between caring for diabetes management and paying attention to other life-giving priorities. Situations related to inadequate adherence are called high-risk situations [120].
Schlundt et al. [116] developed a taxonomy of high-risk situations that make it difficult for patients to comply with dietary requirements. These situations may be related to consuming too much or too little food or situations that involve difficulties in incorporating the meal into a particular social context or time of day. According to Schlundt et al. [120], loneliness, boredom, and interpersonal conflicts, as well as meals at school, social events, or holidays, can all be high­risk situations for adhering to a proper diet. Different categories of high-risk eating situations have also been identified for adults with diabetes that are resistant to temptation, eating out, situations under time pressure, and situations where there is competition between priorities and social events. Other research has shown that environmental barriers can predict adherent behaviour associated with different areas of diabetes self-management [121, 122].
THE PURPOSE OF THE STUDY: THE CONNECTION BETWEEN MENTAL HEALTH, ADHERENCE AND DIABETES
The aim of the research is to investigate the psychological characteristics and adherence of children and adolescents with type 1 diabetes. Based on the Hungarian and international literature, no detailed and complex adherence questionnaire has been developed so far. For this reason, in the pre-research phase, a complex questionnaire with 9 subscales was created following the requirements of the standard test development procedure, which was already used as a measurement tool in the present research. Furthermore, the aim of the research is to determine the effect of mental health factors on adherence so that we can receive information concerning the psychological effects of living with diabetes.
Sample Characteristics
This research is a part of complex research where healthy and chronically ill children are compared by their mental health. In this present study, we only focus on children with T1DM and their mental health following its various areas.
The research was based on the Diabetes Adherence Survey 2017 (hereinafter DAS
2017). The study was carried out partly in Pediatric Psychology and Psychoso­matic Unit at the Institute of Pediatrics of the Faculty of Medicine at the
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University of Debrecen and partly at some primary and secondary educational institutions in Debrecen.
Experimental Group: Children Diagnosed With Type-1 Diabetes
Children diagnosed with T1DM participating in the research (N=114) received treatment in the Endocrinologocal Ward of the Clinical Centre of the University of Debrecen. The research was carried out at the Pediatric Psychology and Psychosomatic Unit at the Institute of Pediatrics of the Faculty of Medicine at the University of Debrecen during the study (ethical permission ID: 4528A -2016, provided by the regional ethical committee [DE RKEB/IKEB]). The children and their parents participating in the study were informed in written consent about the possibility to participate in the research, its purpose and its voluntary nature.
Table 1. Sociodemographic and illness-related characteristics of children belonging to the experimental and control group.
Sociodemographic Data Experimental Group
Age (in years) (M, SD)
Gender (N, %)
boy girl
Family structure
One parent (M, SD)
Two parents (M, SD)
Relatioship with mother
Biological mother (M, SD)
Adoptive mother (M, SD)
Foster mother (M, SD)
N/A (M, SD)
Mother’s educational level
Tertiary level
Secondary level
Primary level
Data related to T1DM
Duration (in years) (M, SD) 6,72 (3,78) -
HbA
1C
Type of insulin therapy
MDI
CSI
14,13 (2,47) 14,08 (1,99)
62 (47,69) 68 (52,31)
44 (33,85) 86 (66,15)
99 (76,15)
1 (0,007)
0 (0)
30 (23,297)
30 (23,2) 55 (42,3) 15 (11,5)
8,32 (1,53) -
58 (44,61) 72 (55,39)
Control
Group
76 (42,93)
101 (57,07)
49 (27,69)
128 (72,31)
117 (66,1)
2 (1,1) 5 (2,9)
53 (29,9)
55 (31,1)
117 (66,1)
5 (2,8)
-
-
Mental Health Frontiers in Clinical Drug Research-Diabetes & Obesity, Vol. 7 75
The youngest child was 9 years old, and the oldest was 18 years old, and the mean age of the sample was 14.17 years (SD=2.18). Data collection was carried out between September 2017 and May 2018. Regarding the gender distribution,
52.6% of the sample were boys (N=60), and 47.4% were girls (N=54). 67.5% of the participants live in an intact family, 21.9% live with only one parent (and/or its new partner), and 8.8% live with foster parents. 16.7% have no siblings, while
83.3% have at least one sibling. The mean age of children at the occurrence of symptoms of T1DM was 8.18 years (SD=3.9). By the time of our research, the mean duration since diagnosis was 7.1 years (SD=3.8). 43.9% of children use an insulin pump, while 56.1% receive conventional insulin therapy. For children receiving insulin pump therapy, the mean duration of using insulin pump was 3.7 years (SD=2.3). The sociodemographic and diabetes-specific characteristics of the sample are shown in Table 2.
Table 2. The items and factor weights of the Diabetes Adherence Questionnaire (DAQ) (N=114).
Items Factor Weight
1. Factor: Self-management
The factor expresses the understanding, organisation and execution of the treatment regulations of diabetes
and their careful management according to the treatment protocol
I follow the suggestions of the schedule. 0,385
I eat an appropriate amount of food. 0,485
I eat at an appropriate time (breakfast, snack, lunch etc.). 0,352
I take an appropriate amount of insulin. 0,234
I take insulin at the appropriate time. 0,364
When taking insulin, I take my blood pressure into account. 0,425
I measure my blood glucose level in all circumstances. 0,412
I record my blood glucose level regularly. 0,236
I do my best to control and keep diabetes in line. 0,352
During meals, I eat an appropriate amount of food following my diet 0,354
2. Factor: Emotional feedback (emotional reactions associated with blood sugar level measurement) The factor expresses diabetes-specific emotional reactions (e.g, related to blood glucose levels).
I prefer to let my family members communicate with my environment about
diabetes.
I prefer to communicate with my environment about diabetes on my own. 0,385
It evokes guilt when my blood sugar is high. 0,541
It evokes fear when my blood sugar is low. 0,428
I can control my fears related to diabetes. 0,395
I become afraid because of my high level of blood glucose 0,394
0,42
1
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(Table 2) co nt.....
Items Factor Weight
1
I become afraid because of my low level of blood glucose 0,457
3. Factor: Social support (parents and family)
The factor expresses diabetes-specific family support My family encourages me to keep my diet. 0,299 My family remembers me to keep my diet. 0,318
My family members control my appropriate consumption of meals 0,361
My family members prepare dietary meals for me. 0,428
My family members commend me when I keep my diet and eat healthily. 0,379
My family remembers me when I eat inappropriate food. 0,364
My family commends me for doing physical activity. 0,502
My family members encourage me to pursue sport. 0,428
My family is glad when I appropriately treat diabetes 0,395
My family commends me when following the schedule. 0,382
My family members help me in changing the treatment on the basis of my blood
glucose.
0,425
4. Factor: Social support (peer relationships)
The factor expresses the attitude of the child with diabetes towards peer relationships.
The relationship with friends is more important than treating diabetes. 0,348
I am discriminated in my friendships due to diabetes. 0,531
I avoid my peers becoming aware of my diabetes if possible.
0,381
It is disturbing when my friends ask about diabetes. 0,297
Most of my friends are not diagnosed with diabetes; thus, I feel different. 0,405
5. factor: Denial of the disease
The factor involves denying the fact of diabetes and its conscious or unconscious ignoration.
Nothing wrong can happen to me if I do not follow the treatment schedule.
0,295
I try to forget diabetes. 0,308
Sometimes I forget the treatment of diabetes. 0,328
6. Factor: Positive adherence
The factor expresses the positive effect of adherence to treatment regulations and regular exercise and
sports on physical and mental well-being.
I do enough physical activity. 0,451
The more I follow my treatment schedule, the better I feel. 0,392
7. Factor: Negative adherence (the burden of the treatment)
The factor expresses the negative consequences of living with diabetes on everyday life (e.ge.g., social
relationships, leisure, and school activities).
My treatment causes inconvenience. 0,364
My treatment requires too much time and work. 0,421
Mental Health Frontiers in Clinical Drug Research-Diabetes & Obesity, Vol. 7 77
(Table 2) co nt.....
Items Factor Weight
Diabetes limits my friendships. 0,381
Diabetes strongly limits my lifestyle. 0,356
The appropriate treatment of diabetes requires a huge amount of time. 0,348
My diet significantly limits my lifestyle. 0,360
Diabetes constrains me from pursuing sport. 0,295
Diabetes limits my leisure activities. 0,278
Diabetes limits my school activities. 0,347
8. Factor: Social support (medical team)
The factor expresses the child’s relationship and attitude toward the medical team and the perception of
their behaviour.
I trust doctors. 0,395
Doctors are too busy to discuss diabetes with me. 0,402
Doctors understand that diabetes hinders me from doing things that are important
for me.
Doctors are friendly and can easily talk to me. 0,415
I trust nurses. 0,395
9. Factor: Vision (worries)
The factor examines concerns and fears about the long-term negative consequences of diabetes (e.ge.g. in
the areas of marriage, childbearing, further education, and employment).
I am afraid whether I will marry due to diabetes. 0,361
I am afraid whether I will have any child due to diabetes. 0,328
I am afraid that it will be harder to find a job due to diabetes. 0,297
I am afraid that I cannot finish my studies due to diabetes. 0,368
I am afraid that diabetes influences my physical appearance. 0,328
I am afraid that I will have medical complications due to diabetes. 0,401
0,414
1
Control Group
Healthy children and adolescents participating in the study (N=233) were randomly recruited. Similar to the patient group, the members of the control group were informed in a written consent about their participation in the research, its methods, its purpose and its voluntary nature. The examined children were recruited from the 9th to 12th grades of a vocational high school and from the 5th to 8th grades children of a primary school in Debrecen. The exclusion criterion was the presence of any chronic disease. Thus, a total of 56 children were excluded. The mean age of the sample was 14.08 years (SD=1.99). The sociodemographic and diabetes-specific characteristics of the sample are shown in Table 1.
78 Frontiers in Clinical Drug Research-Diabetes & Obesity, Vol. 7 Nagy et al.
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Applied Tools
Demographic Questions
First, a demographic questionnaire was used to determine the following information related to the child:
gender
age
type of residence (capital/county seat/big city/small town/village/farm)
the highest educational level of the mother/foster mother
the highest educational level of the father/foster father
structural change in the family and its nature, if any (‘yes, my parents are divorced and my mother is raising me alone’; ‘yes, my parents are divorced and my father is raising me alone’; ‘yes, my parents are divorced, my mother is raising me and has a new relationship; ‘yes, my parents are divorced, my father is raising me and he has a new relationship’; ‘I don't live with my parents’; ‘other’)
number of siblings (both biological and foster)
birth order
subjective financial situation
The Creation of the Diabetes-Specific Adherence Questionnaire
As the first step of our research, we developed an adherence questionnaire to explore the therapeutic collaboration of children and adolescents with type 1 diabetes and the factors influencing it. Reviewing the literature, we found ten relevant international questionnaires that examined the attitudes, adaptation, and therapeutic interactions of children and adolescents with T1DM to diabetes, treatment and lifestyle changes. However, these questionnaires only cover certain sub-areas of adherence. The researchers’ approach is mostly similar, but their approaches are different in terms of content. Thus, the items of the ten questionnaires were categorised into content categories by metaanalysis. Then their proper coherence was examined, overlapping contents were omitted and merged, thus avoiding the loss of the content categories. After sorting the content categories of the previously applied questionnaires, independent juries' finalisation of the content categories was done. Thus, the first version of the questionnaire was created by translating ten English questionnaires and then translating them back into the original language, which contained 167 statements in this form. The questionnaires used were the following: