Abstract
BACKGROUND/AIM:
Parents have an important role to play in supporting adolescents with type 1 diabetes mellitus (T1DM). Their education and occupation are important factors for the management of this disease. This study aimed to investigate the parental support that Iranian adolescents with T1DM experience and to examine the effect of parents’ education and occupation on adolescents’ perceived the parental support and metabolic control.
METHODS:
This is a cross-sectional survey. The participants were 98 adolescents (aged 11–18 years) with T1DM referred to Endocrinology Clinics of Shahid Rahimi and Shahid Madani hospitals in Khorramabad, Iran, in 2016. For evaluating the adolescents’ perceptions of parental support, the family version of Diabetes Social Support Questionnaire was employed. It measures in five diabetic care areas (insulin administration, blood testing, meal planning, exercise, and emotional support). Data were analyzed in SPSS version 22 software using descriptive statistics and inferential tests including Pearson correlation test, ANOVA, and independent t-test.
RESULTS:
The parents’ educational level had a significant relationship with adolescents’ perceived parental support and hemoglobin A1c (HbA1c) level (P < 0.05). Occupation of father had no significant influence on his supportive behavior and HbA1c level in adolescents, but mother's occupation significantly influenced them (P < 0.05). In adolescents with higher perceived parental support, the mean HbA1c was lower.
CONCLUSIONS:
Parents with higher educational level can improve the metabolic control and provide better meal planning in adolescents with T1DM.
Keywords: Adolescent, parental support, type 1 diabetes
Introduction
The incidence of diabetes in children and adolescents around the world is increasing. One of the most common types of diabetes in children and adolescents is type 1 diabetes mellitus (T1DM) or juvenile diabetes. It is an autoimmune disease caused by insulin deficiency resulting from the destruction of insulin-producing pancreatic beta-cells. In the case of T1DM, the disease-fighting system mistakes healthy cells in the pancreas for foreign, harmful invaders and attacks them, leaving the body unable to produce its own insulin and keep the levels of blood glucose under control. Evidence suggests that adherence to diabetes self-care regimes during adolescence is particularly poor.[1] Adolescents with T1DM show less effective metabolic control than other age groups, mostly because of biological changes beyond their control and partly because in this period of developmental transition, psychosocial factors can militate against young people upholding their lifestyle and medical regimens.[2] Family plays an important role for diabetic self-care in children and can help them control the diseases. There is a generally accepted view of the family unit and the interactions among its members as a major factor in physiological, psychosocial, and functional outcomes of long-term care of T1DM.[3] Several studies have emphasized the need for involvement of parents in diabetes management mostly focused on the parents’ performance of diabetes tasks. Families of children with T1DM are required to support the lifestyle changes that adhere to glycemic control. According to the studies, the parental involvement has been associated with better diabetes management among 10–15-year-old children[4] and better metabolic control among 12–16-years-old children.[5] The short- and long-term complications of T1DM cause serious problems in the life of children and their families and if not controlled properly, it can speed up the vascular changes and cause serious physical complications including visual, renal, cardiovascular, and neural disorders.[6]
There are several studies that have investigated the family support and metabolic control of children with T1DM in international level,[7,8,9,10,11,12,13,14,15,16] but less study in national level was found in literature.[6,17,18] On the other hand, much research has focused on advancements in the clinical management of T1DM diabetes and not much attention has been paid to the effect of parents’ education and occupation. Considering these limitations and cultural and economic conditions of Iranian families, this study attempted to, first, investigate the parental support that Iranian adolescents with T1DM experience in five areas of insulin administration, blood testing, meals, exercise, and emotional support and its interaction with metabolic control (hemoglobin A1c [HbA1c]); and second, to examine the effect of parents’ educational level and occupation on adolescents’ perceived the parental support and metabolic control.
Methods
This is a cross-sectional study conducted on 98 adolescents with T1DM (aged 11–18 years) referred to Endocrinology Clinics of Shahid Rahimi and Shahid Madani Hospitals in Khorramabad, Iran, in 2016. They were studied based on census method (all entered into the study) and inclusion criteria which were having diabetes for at least 6 months, no obvious mental or physical health problems, and having willingness to participate in the study. For surveying participants, the family version of Diabetes Social Support Questionnaire (DSSQ) developed by La Greca and Bearman[19] was used. It has 58 items assessing adolescents’ perceptions of family behaviors that are supportive for their diabetes care in five areas of insulin injection (10 items), blood sugar testing (14 items), meals (20 items), exercise (9 items), and emotional support (5 items). It is based on 6-point Likert-type scale measuring frequency of each behavior scoring as 0 = never, 1 = less than two times a month, 2 = twice a month, 3 = once a week, 4 = several times a week, or 5 = at least once a day. Cronbach's alpha coefficient for total was reported as 0.95.[19] We used the Persian version of this questionnaire. It consists of 52 items measuring insulin injection (8 items), blood sugar testing (12 items), meals (20 items), exercise (7 items), and emotional support (5 items). In its first section, the demographic characteristics such as age, educational level, and occupation of the parents as well as sex and age of patients and their diabetes duration were surveyed. The reliability and validity of Persian version has already been confirmed in the study of Heidari et al.[20] Its internal consistency (Cronbach's alpha) for total was evaluated and reported as more than 0.8 which is acceptable. To measure its content validity ratio (CVR) and content validity index (CVI), the questionnaire was provided to five experts in the department and they were asked to express their opinion about each items based on 3-point scale (essential, useful but unnecessary, or unnecessary). Of 52 items, one item measuring meals was deleted due to low content validity. Finally for 40 items, CVR was obtained as 0.99 and for other 11 items, it was reported as 0.6. Furthermore, CVI for all items was obtained as 0.95.
After explaining the purpose of the study to the participants and obtaining verbal and written consents from them and assuring the confidentiality of the information, the questionnaires were distributed among them. Moreover, the HbA1c test was performed to measure their average blood sugar. For this purpose, after obtaining permission from the patients and receiving a prescription form the physician for the test, the blood samples were taken from the patients. Collected data were analyzed in SPSS version 22 application using descriptive statistics (mean, standard deviation (SD), and frequency), and inferential statistics (t-test, one-way ANOVA, multivariate analysis, and Pearson correlation coefficient). The significance level was set as α = 0.05.
Results
Of 98 diabetic adolescents with 11–18 years participated in the study, 42 (42.9%) were female, while 56 were male (57.1%). The average duration of disease in patients was 23.2 ± 7.1 months. Their mothers were mostly homemakers (65.3%), while their fathers were mostly self-employed (44.9%). Furthermore, most of the patients’ parents had high school diploma (32.7% of mothers and 43.9% of fathers). The average age of patients’ mothers and fathers were reported as 33.7 ± 4.2 and 36.64 ± 3.9, respectively. The mean ± SD of scores for adolescents’ perceptions of the parental support in five areas of diabetic care were reported as following: insulin administration (IA) = 37.21 ± 5.3; blood sugar testing (BST) = 49.88 ± 6.2; meals (M) = 74.23 ± 13.3; exercise (E) = 21.6 ± 7.3; and emotional support (ES) = 14.2 ± 6.1. The mean of total score was 199.2 ± 49.3.
Effect of parents’ educational level
Descriptive statistics and correlation results for examining the relationship of each levels of parents’ education with their support and HbA1c level in patients are presented in Tables 1 and 2. Based on the different levels of parents’ education, the mean score of their social support was different in patients. The patients with illiterate mothers as well as those whose mothers were at secondary or lower education had a lower mean score of perceived social support. The total mean score of perceived social support for them were 106.6 ± 0.89 and 160.3 ± 53.2, respectively. Also, those with fathers at secondary or lower education had a lower mean perceived social support score in all five diabetic care domains. The total mean score of perceived social support for them was 136.3 ± 44.4. The mean score of perceived social support among patients with parents at junior high school, high school, and academic (university) levels was not much different from each other. It was found out that mother's and father's educational level had a significant association with all domains of social support and HbA1c level (P < 0.05). The mean score of IA, BST, physical activity, and ES was lower in patients with illiterate mothers and with fathers at secondary or lower level of education, while they had higher mean score of dietary regime. The HbA1c level in patients with illiterate mothers (mean = 8.6) and with fathers at secondary or lower education was higher (mean = 7.9) compared to other groups.
Table 1.
Variables | n | Mean±SD | Sig. | 95% CI | |
---|---|---|---|---|---|
Lower bound | Upper bound | ||||
IA | |||||
Illiterate | 5 | 31.00±1.10 | 0.013 | 30.01 | 32.55 |
Secondary school or lower | 20 | 34.35±3.13 | 32.88 | 35.81 | |
Junior high school | 29 | 37.75±2.74 | 36.71 | 38.80 | |
High school | 32 | 39.21±7.71 | 36.43 | 42.00 | |
Academic | 12 | 37.91±1.92 | 36.69 | 39.14 | |
Total | 98 | 37.21±5.35 | 36.14 | 38.28 | |
BST | |||||
Illiterate | 5 | 42.40±0.89 | 0.023 | 41.28 | 43.51 |
Secondary school or lower | 20 | 45.50±5.31 | 43.01 | 47.98 | |
Junior high school | 29 | 51.86±6.08 | 49.54 | 54.17 | |
High school | 32 | 51.28±5.68 | 49.23 | 53.33 | |
Academic | 12 | 51.91±5.72 | 48.27 | 55.55 | |
Total | 98 | 49.89±6.28 | 48.63 | 51.15 | |
M | |||||
Illiterate | 5 | 28.00±2.23 | 0.001 | 25.22 | 30.77 |
Secondary school or lower | 20 | 58.05±27.82 | 45.02 | 71.07 | |
Junior high school | 29 | 80.44±18.50 | 73.41 | 87.48 | |
High school | 32 | 82.81±13.02 | 78.11 | 87.50 | |
Academic | 12 | 82.58±16.45 | 72.13 | 93.03 | |
Total | 98 | 74.23±23.32 | 69.55 | 78.91 | |
E | |||||
Illiterate | 5 | 2.20±0.44 | 0.001 | 1.64 | 2.75 |
Secondary school or lower | 20 | 12.65±11.15 | 7.42 | 17.87 | |
Junior high school | 29 | 25.34±9.95 | 21.55 | 29.13 | |
High school | 32 | 25.15±8.55 | 22.07 | 28.23 | |
Academic | 12 | 26.08±7.47 | 21.33 | 30.83 | |
Total | 98 | 21.60±11.37 | 19.32 | 23.88 | |
ES | |||||
Illiterate | 5 | 3.00±0.27 | 0.035 | 2.95 | 3.78 |
Secondary school or lower | 20 | 9.75±7.04 | 6.45 | 13.04 | |
Junior high school | 29 | 15.75±5.17 | 13.79 | 17.72 | |
High school | 32 | 16.06±4.14 | 14.56 | 17.55 | |
Academic | 12 | 17.75±3.36 | 15.61 | 19.88 | |
Total | 98 | 14.22±6.18 | 12.98 | 15.46 | |
Total | |||||
Illiterate | 5 | 106.60±0.89 | 0.011 | 105.48 | 107.71 |
Secondary school or lower | 20 | 160.30±53.25 | 135.37 | 185.22 | |
Junior high school | 29 | 214.62±42.73 | 198.36 | 230.87 | |
High school | 32 | 214.53±27.62 | 204.57 | 224.49 | |
Academic | 12 | 224.58±33.50 | 203.29 | 245.87 | |
Total | 98 | 199.21±49.35 | 189.31 | 209.11 | |
HbA1c | |||||
Illiterate | 5 | 8.38±1.53 | 0.002 | 6.47 | 10.28 |
Secondary school or lower | 20 | 6.96±1.67 | 6.17 | 7.75 | |
Junior high school | 29 | 5.87±1.29 | 5.38 | 6.36 | |
High school | 32 | 5.73±0.48 | 5.56 | 5.91 | |
Academic | 12 | 5.78±0.48 | 5.47 | 6.09 | |
Total | 98 | 6.16±1.31 | 5.90 | 6.43 |
IA=Insulin administration, BST=Blood sugar testing, M=Meals, E=Exercise, ES=Emotional support, HbA1c=Hemoglobin A1c, SD=Standard deviation, CI=Confidence interval
Table 2.
Variables | N | Mean±SD | Sig. | 95% CI | |
---|---|---|---|---|---|
Lower bound | Upper bound | ||||
IA | |||||
Secondary school or lower | 12 | 33.08±2.64 | 0.043 | 31.40 | 34.76 |
Junior high school | 28 | 36.28±3.63 | 34.87 | 37.69 | |
High school | 43 | 37.74±2.07 | 37.10 | 38.38 | |
Academic | 15 | 40.73±11.15 | 34.55 | 46.91 | |
Total | 98 | 37.21±5.35 | 36.14 | 38.28 | |
BST | |||||
Secondary school or lower | 12 | 43.83±3.04 | 0.001 | 41.90 | 45.76 |
Junior high school | 28 | 49.46±6.85 | 46.80 | 52.12 | |
High school | 43 | 51.16±5.71 | 49.40 | 52.92 | |
Academic | 15 | 51.93±6.05 | 48.58 | 55.28 | |
Total | 98 | 49.89±6.28 | 48.63 | 51.15 | |
M | |||||
Secondary school or lower | 12 | 44.75±25.03 | 0.001 | 28.84 | 60.65 |
Junior high school | 28 | 71.57±26.51 | 61.29 | 81.85 | |
High school | 43 | 83.09±10.22 | 79.94 | 86.23 | |
Academic | 15 | 77.40±24.45 | 63.85 | 90.94 | |
Total | 98 | 74.23±23.32 | 69.55 | 78.91 | |
E | |||||
Secondary school or lower | 12 | 7.83±8.60 | 0.038 | 2.36 | 13.29 |
Junior high school | 28 | 20.14±12.88 | 15.14 | 25.14 | |
High school | 43 | 25.32±7.68 | 22.96 | 27.68 | |
Academic | 15 | 24.66±11.04 | 18.54 | 30.78 | |
Total | 98 | 21.60±11.37 | 19.32 | 23.88 | |
ES | |||||
Secondary school or lower | 12 | 6.83±6.04 | 0.002 | 2.99 | 10.67 |
Junior high school | 28 | 12.89±6.88 | 10.22 | 15.56 | |
High school | 43 | 16.44±3.58 | 15.33 | 17.54 | |
Academic | 15 | 16.26±6.01 | 12.93 | 19.59 | |
Total | 98 | 14.22±6.18 | 12.98 | 15.46 | |
Total | |||||
Secondary school or lower | 12 | 136.33±44.42 | 0.011 | 108.10 | 164.55 |
Junior high school | 28 | 190.35±55.43 | 168.86 | 211.85 | |
High school | 43 | 216.09±29.41 | 207.04 | 225.14 | |
Academic | 15 | 217.66±44.97 | 192.76 | 242.57 | |
Total | 98 | 199.21±49.35 | 189.31 | 209.11 | |
HbA1c | |||||
Secondary school or lower | 12 | 7.92±1.91 | 0.017 | 6.70 | 9.14 |
Junior high school | 28 | 6.31±1.54 | 5.71 | 6.91 | |
High school | 43 | 5.70±0.45 | 5.56 | 5.84 | |
Academic | 15 | 5.83±0.57 | 5.51 | 6.15 | |
Total | 98 | 6.16±1.31 | 5.90 | 6.43 |
IA=Insulin administration, BST=Blood sugar testing, M=Meals, E=Exercise, ES=Emotional support, HbA1c=Hemoglobin A1c, SD=Standard deviation, CI=Confidence interval
Effect of parents’ occupation
ANOVA test was performed for evaluating the effect of father's job on his support for adolescents and their metabolic control. Table 3 presents the descriptive statistics. It can be seen that patients whose fathers were worker had the lowest mean value of perceived parental support, while those with self-employed fathers as well as those whose fathers were employees showed the highest mean value. Among areas of parental support, meal planning and emotions had the highest and lowest mean value, respectively. The mean HbA1c was lower than the mean value of all parental support dimensions. ANOVA test results are shown in Table 4. The P value was greater than the critical value (0.05); hence, it can be said that the occupation of fathers has no significant influence on HbA1c level, meals, exercise, blood glucose testing, IA, and emotions of adolescents.
Table 3.
Variables | Job | n | Mean±SD | 95% CI | |
---|---|---|---|---|---|
Lower bound | Upper bound | ||||
ES | Unemployed | 5 | 14.20±7.25 | 5.18 | 23.21 |
Self-employed | 44 | 15.04±5.87 | 13.25 | 16.83 | |
Worker | 17 | 11.05±7.10 | 7.40 | 14.71 | |
Employee | 32 | 14.78±5.66 | 12.74 | 16.82 | |
E | Unemployed | 5 | 19.40±11.84 | 4.69 | 34.10 |
Self-employed | 44 | 22.68±10.67 | 19.43 | 25.92 | |
Worker | 17 | 15.88±12.46 | 9.47 | 22.29 | |
Employee | 32 | 23.50±11.17 | 19.47 | 27.52 | |
M | Unemployed | 5 | 73.00±27.96 | 38.27 | 107.72 |
Self-employed | 44 | 76.97±21.51 | 70.43 | 83.51 | |
Worker | 17 | 64.00±28.79 | 49.19 | 78.80 | |
Employee | 32 | 76.09±21.44 | 68.36 | 83.82 | |
BST | Unemployed | 5 | 48.60±6.46 | 40.57 | 56.62 |
Self-employed | 44 | 50.56±5.84 | 48.79 | 52.34 | |
Worker | 17 | 46.94±6.55 | 43.57 | 50.31 | |
Employee | 32 | 50.75±6.49 | 48.40 | 53.09 | |
IA | Unemployed | 5 | 36.00±3.31 | 31.88 | 40.11 |
Self-employed | 44 | 37.09±2.85 | 36.22 | 37.95 | |
Worker | 17 | 34.94±3.54 | 33.11 | 36.76 | |
Employee | 32 | 38.78±8.06 | 35.87 | 41.68 | |
Total | Unemployed | 5 | 191.20±55.67 | 122.07 | 260.32 |
Self-employed | 44 | 204.63±46.85 | 190.39 | 218.88 | |
Worker | 17 | 172.82±57.01 | 143.50 | 202.13 | |
Employee | 32 | 207.03±44.75 | 190.89 | 223.16 | |
HbA1c | Unemployed | 5 | 6.90±2.86 | 3.34 | 10.45 |
Self-employed | 44 | 6.03±1.06 | 5.71 | 6.36 | |
Worker | 17 | 6.92±1.88 | 5.95 | 7.89 | |
Employee | 32 | 5.83±0.63 | 5.60 | 6.06 |
IA=Insulin administration, BST=Blood sugar testing, M=Meals, E=Exercise, ES=Emotional support, HbA1c=Hemoglobin A1c, SD=Standard deviation, CI=Confidence interval
Table 4.
Variables | Sum of squares | df | Mean square | F | Sig. |
---|---|---|---|---|---|
ES | |||||
Between groups | 209.942 | 3 | 69.981 | 1.882 | 0.138 |
Within groups | 3495.119 | 94 | 37.182 | ||
Total | 3705.061 | 97 | |||
E | |||||
Between groups | 746.969 | 3 | 248.990 | 1.982 | 0.122 |
Within groups | 11,810.510 | 94 | 125.644 | ||
Total | 12,557.480 | 97 | |||
M | |||||
Between groups | 2229.906 | 3 | 743.302 | 1.382 | 0.253 |
Within groups | 50,557.696 | 94 | 537.848 | ||
Total | 52,787.602 | 97 | |||
- | |||||
Between groups | 200.043 | 3 | 66.681 | 1.726 | 0.167 |
Within groups | 3630.937 | 94 | 38.627 | ||
Total | 3830.980 | 97 | |||
BST | |||||
Between groups | 174.454 | 3 | 58.151 | 2.094 | 0.106 |
Within groups | 2610.046 | 94 | 27.766 | ||
Total | 2784.500 | 97 | |||
Total | |||||
Between groups | 15,410.079 | 3 | 5136.693 | 2.186 | 0.095 |
Within groups | 220,908.421 | 94 | 2350.090 | ||
Total | 236,318.500 | 97 | |||
HbA1c | |||||
Between groups | 16.633 | 3 | 5.544 | 3.458 | 0.20 |
Within groups | 150.703 | 94 | 1.603 | ||
Total | 167.336 | 97 |
BST=Blood sugar testing, M=Meals, E=Exercise, ES=Emotional support, HbA1c=Hemoglobin A1c
Since only two types of occupations were reported for mothers by patients including homemaking (n = 64) and employee (n = 34), independent t-test was performed for assessing the effect of mother's job on her support. Descriptive statistics including sample size, mean, and SD are presented in Table 5. The mean value of parental support in each diabetic care domains was higher in patients with employee mothers, while their mean HbA1C was lower. Meal planning and ES had the highest and lowest mean value in both groups, respectively. Independent test results are shown in Table 6. P value of Levene's test for HbA1c, meals, exercise, and ES variables was less than 0.05, while for the variables of IA and BST, it was greater than 0.05; hence, we can conclude that the variance in patients with homemaker mothers is significantly different than that of patients with employee mothers in terms of HbA1c, meals, exercise, and ES, but in terms of IA and BST, there is no significant difference. Hence, by looking at the t-test results in related rows, it can be found out that the mother's job has a significant effect on HbA1c level, meals, exercise, IA, and emotions of diabetic adolescents (P < 0.05) but not on their blood glucose testing (P > 0.05). In total, the mother's job significantly affected her supportive behavior toward adolescents with T1DM (P < 0.001).
Table 5.
Variables | Job | n | Mean±SD | SEM |
---|---|---|---|---|
HbA1c | Homemaker | 64 | 6.36±1.55695 | 0.19462 |
Employee | 34 | 5.81±0.49464 | 0.08483 | |
IA | Homemaker | 64 | 36.23±3.44454 | 0.43057 |
Employee | 34 | 39.06±7.50733 | 1.28750 | |
BST | Homemaker | 64 | 49.30±6.48975 | 0.81122 |
Employee | 34 | 51.03±5.80222 | 0.99507 | |
M | Homemaker | 64 | 70.62±26.20039 | 3.27505 |
Employee | 34 | 81.03±14.70618 | 2.52209 | |
E | Homemaker | 64 | 19.90±12.35676 | 1.54459 |
Employee | 34 | 24.80±8.54145 | 1.46485 | |
ES | Homemaker | 64 | 13.20±6.82474 | 0.85309 |
Employee | 34 | 16.14±4.18607 | 0.71790 | |
Total | Homemaker | 64 | 190.83±55.29418 | 6.91177 |
Employee | 34 | 215±30.51378 | 5.23307 |
IA=Insulin administration, BST=Blood sugar testing, M=Meals, E=Exercise, ES=Emotional support, HbA1c=Hemoglobin A1c, SD=Standard deviation, SEM=Standard error mean
Table 6.
Variables | Levene’s test for equality of variances | t-test for equality of means | |||||||
---|---|---|---|---|---|---|---|---|---|
F | Sig. | t | df | Sig. (two-tailed) | Mean difference | SE difference | 95% CI | ||
Lower bound | Upper bound | ||||||||
HbA1c | |||||||||
Equal variances assumed | 16.076 | 0.000 | 1.977 | 96 | 0.024 | 0.54291 | 0.27465 | −0.00226 | 1.08809 |
Equal variances not assumed | 2.557 | 83.461 | 0.012 | 0.54291 | 0.21230 | 0.12068 | 0.96514 | ||
IA | |||||||||
Equal variances assumed | 0.099 | 0.753 | −2.554 | 96 | 0.012 | −2.82445 | 1.10598 | −5.01981 | −0.62909 |
Equal variances not assumed | −2.080 | 40.529 | 0.044 | −2.82445 | 1.35759 | −5.56712 | −0.08178 | ||
BST | |||||||||
Equal variances assumed | 1.667 | 0.200 | −1.304 | 96 | 0.195 | −1.73254 | 1.32890 | −4.37038 | 0.90531 |
Equal variances not assumed | −1.349 | 74.259 | 0.181 | −1.73254 | 1.28384 | −4.29050 | 0.82542 | ||
M | |||||||||
Equal variances assumed | 18.539 | 0.000 | −2.140 | 96 | 0.035 | −10.40441 | 4.86177 | −20.05494 | −0.75388 |
Equal variances not assumed | −2.517 | 95.655 | 0.013 | −10.40441 | 4.13363 | −18.60998 | −20.19885 | ||
E | |||||||||
Equal variances assumed | 9.593 | 0.003 | −2.058 | 96 | 0.042 | −4.88787 | 2.37534 | −9.60289 | −0.17285 |
Equal variances not assumed | −2.296 | 89.331 | 0.024 | −4.88787 | 2.12874 | −9.11742 | −0.65832 | ||
ES | |||||||||
Equal variances assumed | 21.186 | 0.000 | −2.293 | 96 | 0.024 | −2.94393 | 1.28370 | −5.49206 | −0.39581 |
Equal variances not assumed | −2.640 | 93.911 | 0.010 | −2.94393 | 1.11497 | −5.15776 | −0.73011 | ||
Total | |||||||||
Equal variances assumed | 18.603 | 0.000 | −2.361 | 96 | 0.020 | −24.17188 | 10.23614 | −44.49045 | −3.85330 |
Equal variances not assumed | −2.788 | 95.819 | 0.006 | −24.17188 | 8.66935 | −41.38081 | −6.96294 |
IA=Insulin administration, BST=Blood sugar testing, M=Meals, E=Exercise, ES=Emotional support, HbA1c=Hemoglobin A1c, SD=Standard deviation, CI=Confidence interval, SE=Standard error
Discussion
In spite of some limitations such as low numbers of adolescents with diabetes in Khorramabad which made us to use census method, and the time of gathering data (summer), this study conducted to investigate the perceived parental support and metabolic control of Iranian adolescents with T1DM. There are a few national studies in literature. Tol et al.[17] assessed relation between perceived social support from family and diabetes control among type 1 and 2 diabetic patients in Tehran using Perceived Social Support from Family scale. Their findings revealed that perceived social support had no significant relation with HbA1C in T1DM patients. Body mass index and marital status variables had significant relation with perceived social support from family and HbA1C in both type 1 and type 2 diabetic patients; however, variables of education had no significant relation with perceived social support and HbA1C among T1DM patients. Cheraghi et al.[6] studied the effect of family-centered care on management of blood glucose levels in adolescents with T1DM in Hamadan and concluded that their caregivers in home-centered care could improve the diabetic adolescents’ management of blood glucose levels and reduce their HbA1c levels. Rostami et al.[18] in exploring the support that Iranian adolescents with T1DM receive, reported that family members can help them to have a normal life and parents can empower them by improving their independence and self-care skills.
In the current study, the high mean scores obtained from the DSSQ indicated that the role of families for the adolescents was supportive. There was high level of parental social support perceived by adolescents. In the study of Gecková et al.,[21] Slovak adolescents also reported high social support while in the study of Yan and Sellick,[22] Chinese patients had a moderate social support. In the current study, the parents’ educational level had a significant relationship with perception of parental support by adolescents; those with parents having higher educational level showed higher perceived parental support. This is consistent with the results of Gecková et al.[21] and Jafari et al.[23] The level of parent's education was one of the factors influencing the BST in adolescents. Patistea[24] also reported a positive relationship of parents’ education and socioeconomic status with their coping behaviors in children; those with higher level of education and socioeconomic status were most helpful in maintaining family strength and an optimistic outlook, and they had better perception of the child's diseases. Aziz et al.[25] in their study in Pakistan reported that patients with chronic diseases whose family members (especially the mother) had higher educational levels, had fewer problems, and fewer feelings of being rejected by others. According to them, the educated parents show a more appropriate response to their child's disease. In a local study, based on the results, it can be said that, in general, people with a higher level of education have a higher level of scientific understanding and not only they can communicate with children effectively but also they are more involved with issues related to the health of their children; such that in cases of illness especially chronic diseases, they pursue the test results and complications of the disease more actively; therefore, it can be expected that in these families, while controlling chronic diseases, the support will be better perceived by children. As a result, their quality of life will increase.
We observed a significant relationship between the metabolic control of adolescents and parents’ educational level. This is consistent with the findings of Delavari et al.,[26] Foulkner and Chang,[27] and AlAgha et al.[28] Delavari et al. argued that illiteracy is one of the factors influencing the lack of metabolic control in patients. Foulkner and Chang suggested that the higher a father's education, the better blood sugar of a child is controlled. AlAgha et al. found out that higher educated fathers were associated with HbA1c <7% (<53 mmol/mol), while poor glycemic control was recorded in low educated fathers. Furthermore, there found no difference between HbA1c and mothers’ educational level. In our study, the educational level of both mothers and fathers were associated to lower levels of HbA1c in adolescents with T1DM.
About the effect of parent's occupational status, the results of this study also showed that in adolescents with employee mothers, perceived parental support was higher except in BST area (where patients with homemaker mothers had higher mean value; maybe because their mothers had free time more than employed mothers), and their HbA1c level was lower; while the occupation of father had no significant effect on perceived parental support and metabolic control of adolescents. This is against the results of AlAgha et al.[28] where they showed that more professional fathers had better diabetic control on their children with T1DM, while mothers’ occupation had no significant effect. Ebrahimi et al.[29] in their study revealed a significant association between metabolic control of diabetic patients and variables of marital status, education, occupation, income, smoking, and exercise, but it had no significant relationship with gender factor.
Conclusions
It was concluded that parents with higher educational level can improve the metabolic control and provide better meal planning in adolescents with T1DM. Given the important role of parents in managing and controlling chronic diseases including diabetes in their children, it is recommended to consider their role in achieving optimal metabolic control as well. Furthermore, it is suggested that family-centered care trainings should be carried out for those adolescents with low-educated parents in order that, by the realization of parents’ involvement in treatment and care of diabetic children, the complications of this disease can be avoided.
Financial support and sponsorship
Nil.
Conflicts of interest
There are no conflicts of interest.
Acknowledgments
This paper was extracted from a PhD thesis approved by the Ethics Committee of the Research Center at Lorestan University of Medical Science in Iran (Code: LUMS. REC.1395.191). The authors would like to thank the participants and all those who helped us in this study.
References
- 1.Stewart S, Emslie G, Klein D, Haus S, White P. Self-care and glycemic control in adolescents with Type 1 diabetes. Child Health Care. 2005;34:239–44. [Google Scholar]
- 2.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. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Zysberg L, Lang T. Supporting parents of children with type 1 diabetes mellitus: A literature review. Patient Intell. 2015;7:21–31. [Google Scholar]
- 4.Anderson B, Ho J, Brackett J, Finkelstein D, 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;130:257–65. doi: 10.1016/s0022-3476(97)70352-4. [DOI] [PubMed] [Google Scholar]
- 5.Gowers SG, Jones JC, Kiana S, North CD, Price DA. Family functioning: A correlate of diabetic control? J Child Psychol Psychiatry. 1995;36:993–1001. doi: 10.1111/j.1469-7610.1995.tb01345.x. [DOI] [PubMed] [Google Scholar]
- 6.Cheraghi F, Shamsaei F, Mortazavi SZ, Moghimbeigi A. The effect of family-centered care on management of blood glucose levels in adolescents with diabetes. Int J Community Based Nurs Midwifery. 2015;3:177–86. [PMC free article] [PubMed] [Google Scholar]
- 7.Pendley JS, Kasmen LJ, Miller DL, Donze J, Swenson C, Reeves G, et al. Peer and family support in children and adolescents with type 1 diabetes. J Pediatr Psychol. 2002;27:429–38. doi: 10.1093/jpepsy/27.5.429. [DOI] [PubMed] [Google Scholar]
- 8.Hanna KM, Guthrie DW. Parental involvement in adolescents’ diabetes management. Diabetes Spectr. 2003;16:184–7. [Google Scholar]
- 9.Lewin AB, Heidgerken AD, Geffken GR, Williams LB, Storch EA, Gelfand KM, et al. The relation between family factors and metabolic control: The role of diabetes adherence. J Pediatr Psychol. 2006;31:174–83. doi: 10.1093/jpepsy/jsj004. [DOI] [PubMed] [Google Scholar]
- 10.Pereira MG, Berg-Cross L, Almeida P, Machado CJ. Impact of family environment and support and adherence, metabolic control, and quality life in adolescents with diabetes. Int J Behav Med. 2008;15:187–93. doi: 10.1080/10705500802222436. [DOI] [PubMed] [Google Scholar]
- 11.Duke DC, Geffken GR, Lewin AB, Williams LB, Storch EA, Silverstein JH, et al. Glycemic control in youth with type 1 diabetes: Family predictors and mediators. J Pediatr Psychol. 2008;33:719–27. doi: 10.1093/jpepsy/jsn012. [DOI] [PubMed] [Google Scholar]
- 12.Pereira MG, Cristina A. London, UK: IntechOpen; 2011. Predictors of Adherence, Metabolic Control and Quality of Life in Adolescents with Type 1 Diabetes. [Google Scholar]
- 13.Almeida AC, Pereira MG, and Leandro E. London, UK: IntechOpen; 2013. The Influence of Family Support, Parental Coping and School Support on Adherence to Type 1 Diabetes’ Self-Care in Adolescents. [Google Scholar]
- 14.Lim SC, Rhee CW. Parent-child communication and self-management of adolescents with type 1 diabetes: The mediating effect of diabetes-related family support. Korean J Fam Soc Work. 2011;32:235–60. [Google Scholar]
- 15.Pierce JS, Kozikowski C, Lee JM, Wysocki T. Type 1 diabetes in very young children: A model of parent and child influences on management and outcomes. Pediatr Diabetes. 2017;18:17–25. doi: 10.1111/pedi.12351. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Pelicand J, Charlier D, Maes M, Henrard S, Aujoulat I. Metabolic control in adolescents with type 1 diabetes: Looking at the role of perceived consistent parenting support of self-care. Educ Ther Patient Ther Patient Educ. 2018;10:10204. [Google Scholar]
- 17.Tol A, Baghbanian A, Rahimi A, Shojaeizadeh D, Mohebbi B, Majlessi F. The Relationship between perceived social support from family and diabetes control among patients with diabetes type 1 and type 2. J Diabetes Metab Disord. 2011;10:1–8. [Google Scholar]
- 18.Rostami S, Parsa-Yekta Z, Najafi Ghezeljeh T, Vanaki Z. Supporting adolescents with type 1 diabetes mellitus: A qualitative study. Nurs Health Sci. 2014;16:84–90. doi: 10.1111/nhs.12070. [DOI] [PubMed] [Google Scholar]
- 19.La Greca AM, Bearman KJ. The diabetes social support questionnaire-family version: Evaluating adolescents’ diabetes-specific support from family members. J Pediatr Psychol. 2002;27:665–76. doi: 10.1093/jpepsy/27.8.665. [DOI] [PubMed] [Google Scholar]
- 20.Heidari S, Nouri Tajer M, Hosseini F, Inanlou M, Golgiri F, Shirazi F. Geriatric family support and diabetic type-2 glycemic control. Salmand. 2008;3:573–80. [Google Scholar]
- 21.Gecková A, van Dijk JP, Stewart R, Groothoff JW, Post D. Influence of social support on health among gender and socio-economic groups of adolescents. Eur J Public Health. 2003;13:44–50. doi: 10.1093/eurpub/13.1.44. [DOI] [PubMed] [Google Scholar]
- 22.Yan H, Sellick K. Symptoms, psychological distress, social support, and quality of life of Chinese patients newly diagnosed with gastrointestinal cancer. Cancer Nurs. 2004;27:389–99. doi: 10.1097/00002820-200409000-00009. [DOI] [PubMed] [Google Scholar]
- 23.Jafari S, Mohtashami J, Alaee Karahroudi F, Mansouri S, Rassouli M. Perceived social support and its correlated factors in adolescents with chronic disease. J Hayat. 2016;22:65–78. [Google Scholar]
- 24.Patistea E. Description and adequacy of parental coping behaviours in childhood leukaemia. Int J Nurs Stud. 2005;42:283–96. doi: 10.1016/j.ijnurstu.2004.06.010. [DOI] [PubMed] [Google Scholar]
- 25.Aziz H, Akhtar SW, Hasan KZ. Epilepsy in Pakistan: Stigma and psychosocial problems. A population-based epidemiologic study. Epilepsia. 1997;38:1069–73. doi: 10.1111/j.1528-1157.1997.tb01195.x. [DOI] [PubMed] [Google Scholar]
- 26.Delavari AR, Sharifian A, Rahimi E. Dialysis efficacy in three dialysis centers in Kurdistan province. Sci J Kurdistan Univ Med Sci. 2001;5:18–22. [Google Scholar]
- 27.Faulkner MS, Chang LI. Family influence on self-care, quality of life, and metabolic control in school-age children and adolescents with type 1 diabetes. J Pediatr Nurs. 2007;22:59–68. doi: 10.1016/j.pedn.2006.02.008. [DOI] [PubMed] [Google Scholar]
- 28.AlAgha MA, Majdi WM, Aljefri HM, Ali MA, Alagha AE, Abd-Elhameed IA, et al. Effect of Parents’ Educational Level and Occupational Status on Child Glycemic Control. J Pat Care. 2017;3:130. [Google Scholar]
- 29.Ebrahimi H, Sadeghi M, Bagheri H, Sargazi GH. Evaluation of metabolic control and its related factors in patients with type 2 diabetes mellitus in Shahrud town. Medsurg Nurs J. 2014;3:24–31. [Google Scholar]