Long-Term Hyperglycemia Triggered Growth Pattern of Pediatrics with Type 1 Diabetes -A Five-Year Retrospective Follow-Up Study

Publication Information
ISSN: 2641-6816
Frequency: Continuous
Format: PDF and HTML
Versions: Online (Open Access)
Language: English

            Journal Menu
Editorial Board
Reviewer Board
Articles
Open Access
Special Issue Proposals
Guidelines for Authors
Guidelines for Editors
Guidelines for Reviewers 
Membership
Fee and Guidelines

Long-Term Hyperglycemia Triggered Growth Pattern of Pediatrics with Type 1 Diabetes -A Five-Year Retrospective Follow-Up Study

Kavita M Sudersanadas1, 6*, Maha Al Turki1, 6, Atheer Zaid Abu thyab2, 6, Razan Salim Almutairi2, 6, Ohud Dakhil Alharbi2, 6, Winnie Philip3, 6, Salini Scaria Joy4, Mohammed Al Mutairi5, 6 

1Asst. Professor, Department of Clinical Nutrition, Collage of Applied Medical Sciences, King Saud Bin Abdulaziz University for Health Sciences, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia
2Undergraduate Student, Department of Clinical Nutrition, Collage of Applied Medical Sciences, King Saud Bin Abdulaziz University for Health Sciences, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia
3Lecturer of Biostatistics, Research Unit, Collage of Applied Medical Sciences, King Saud Bin Abdulaziz University for Health Sciences, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia
4Researcher, Strategic Centre for Diabetes Research, College of Medicine, King Saud University, Riyadh, Saudi Arabia
5Assoc. Professor and Consultant of Pediatric Emergency, Department of Emergency Medicine ,Ministry of National Guard Health Affairs, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
6King Abdullah International Medical Research Centre, Riyadh, Saudi Arabia

Received Date: March 22, 2021; Accepted Date: March 29, 2021; Published Date: April 07, 2021;
*Corresponding Author: Kavita Sudersanadas, Department of Clinical Nutrition, Collage of Applied Medical Sciences, King Saud Bin Abdulaziz University for Health Sciences, King Abdullah International Medical Research Centre, NGHA, Riyadh, Saudi Arabia.
Email: dr.kavitams@yahoo.com or sudersandask@ksau-hs.edu.sa

Citation: Sudersanadas KM, Al Turki M, Abu thyab AZ, Almutairi RS, Alharbi OD et al. (2021) Long-term hyperglycemia triggered growth pattern of pediatrics with Type 1 Diabetes -A Five-year retrospective follow-up study. Adv in Nutri and Food Sci: ANAFS-205.

DOI: 10.37722/ANAFS.2021103


Abstract
Introduction: Children with Type I Diabetes (T1D) usually have lesser stature for age than their regular counterparts.

Objective: This study was conducted to assess the effect of long-term hyperglycemic condition on growth pattern concerning height for age of pediatric subjects with Type 1 Diabetes Mellitus.

Methods: The retrospective follow-up study was conducted among 162 pediatric subjects with T1D. Pediatric subjects with T1D registered for medical and nutritional care from 2009-2013 at King Abdullah Specialized Children's Hospital (KACSH)/NGHA, Riyadh, KSA; a tertiary care teaching hospital formed the study population. The subjects were selected randomly and followed up for the immediate post-diagnostic period up to 5 years. Data were extracted from the Hospital Information system- Best care of the hospital. The data for demography and biochemical variables were extracted at the time of diagnosis. In contrast, data of height and weight were collected not only at the time of diagnosis but also followed up for the immediate post-diagnostic period of five years. The data were analyzed by using SPSS Version 22.

Result: Majority (59.9%) of the subjects were in the age group of 7 to 10 years, and 53.1% were females. The study results indicated that there was gender variation in growth pattern with the advancement of age which leads to short height for age.

Conclusion: T1D can affect children's growth pattern with a permanent effect on the stature of the affected child. Children with T1D require periodical growth monitoring and nutrition care to prevent short stature.


Keywords: BMI; Growth Pattern; Height for Age; Pediatrics; T1D


Introduction
      Type 1 diabetes (T1D) is a chronic childhood autoimmune disease characterized by insulin deficiency and hyperglycemic conditions. The onset of T1D happens typically in childhood, although it can present at any stage of life [1]. Recently, an increasing trend in the incidence of T1D has been reported worldwide.

      In continental subgroups, the incidence of T1D among children in America (20 per 100 000) is higher than in Asia (15 per 100 000) and the global prevalence of continental subtypes of T1D in the above regions was 12.2 per 10 000, 6.9 per 10 000, respectively [2]. In terms of incidence rates of T1D (0-14 years), Saudi Arabia ranks the 5th country in the world with 31.4 per 100,000 population per year [1].

      The onset of T1D is likely the result of the interplay among various genetic and epigenetic factors. The proposed epigenetic factors involved in the pathogenesis of T1D include environmental, dietary and somatic factors. Virus infections and immunizations, pollutants, gut flora, rural versus urban residence are the prime environmental factors with pathogenicity for T1D. The dietary factors such as inadequate breastfeeding, complimentary feeding of cow's milk instead of breast milk, Vitamin D deficiency, consumption of gluten rich food, poor intake of dietary fiber rich food and polyunsaturated fatty acids. Somatic factors including low birth weight, childhood growth, childhood obesity and psychological stresses also have an influence on the incidence of T1D [3].

      The growth of children with T1D was reported to be affected with gender, genetic factors, age at diagnosis of T1D, duration of the disease, puberty, metabolic control, growth-promoting agents and its binding proteins such as growth hormone (GH), insulin-like growth factors (IGFs), and IGF binding proteins (IGFBPs). IGFs' most important role is to aid increase in bone length by regulating growth plate chondrocyte proliferation and maturation. Insulin is considered an essential regulator of this process as adequate insulin concentration is needed to maintain normal serum concentrations of IGFs and IGFBPs and intra-portal insulin concentrations, which leads to GH hypersecretion, low circulating IGF and IGFBPs [4, 5]. Reduced growth of children with T1D may be due to alterations in GH concentrations causing physiological abnormalities in bone growth [6, 7].

      In T1D, the intra-portal insulin concentrations, poor glycemic control, autoimmune disorders, improper renal function, and psychosocial factors and associated diseases may cause growth retardation and pubertal delay [8]. Besides, poor metabolic control, longer disease duration is also associated with growth abnormalities in them [7].

      The incidence and prevalence of T1D are high in the Saudi population. Scarcely few studies were done on the effect of T1D on growth of pediatrics with T1D. Hence, the current research investigates the pattern of change in height, BMI, and associated factors in T1D patients between 1 and 10 years over five years post diagnosis.


Methodology
     This longitudinal observational study was conducted by analyzing the health charts of children registered for medical and nutritional care and management of T1D in the outpatient pediatrics clinics in King Abdullah Specialized Children's Hospital (KASCH), Ministry of National Guard Health Affairs (NGHA), Riyadh, KSA. The study was approved by the Institutional Review Board of King Abdullah International Medical Research Centre and was conducted following the Declaration of Helsinki [9].

      Initially, 300 T1D patients who visited outpatient pediatrics clinics between 2009 and 2013 were selected for this study. Data were collected from the electronic medical records of KASCH and NGHA.

      A total of 162 patients who fulfilled the inclusion criteria were screened out for the study. The study inclusion criteria were Saudi TID patients of age between 0-10 years and followed up for five years post diagnostically. Children with psychological and physical disabilities and other chronic diseases that may affect the growth, patients who did not follow up for the five years, and patients with missing data were excluded from the study.

      Anthropometric and demographic parameters such as age, gender, height and weight were collected for each subject. Body mass index (BMI) was calculated as the quotient of weight (kg) divided by height square (m2). Biochemical data such as hemoglobin A1C (HbA1c), fasting blood glucose (FBG), total cholesterol, low density lipoprotein (LDL), high density lipoprotein (HDL), triglyceride, blood urea and serum creatinine were collected. All the data were collected for a period of five years starting from the date of diagnosis. In addition, the dietary pattern followed by the subjects were recorded.

Data management and analysis 

      The study sample size was calculated with Rao soft online sample size calculator [10]. With a confidence level of 95% at margin of error of 5%. Statistical analysis of the data was done by using SPSS (version 22). Categorical variables were expressed in frequencies and percentages. Mean and standard deviation (mean ± SD) were used for continuous variables.

      In order to assess the growth pattern of the subjects the data were compared to standard growth charts for the children from Saudi Arabia [11, 12]. From the standard growth chart, +2SD (90th percentile) and +1SD (75th percentile) were used as standard cutoff values for both height and BMI. The student's t-test was used to compare differences between male and female groups.


Results
       Table 1 shows the baseline demographic, clinical, and biochemical parameters of male and female pediatrics with T1D. The selected subjects, (53.09% female) had a mean ± SD age of 6.79±2.42 years. Age (p = 0.037) and height (p = 0.029) significantly differed between both male and female T1D patients. Mean weight, BMI, HbA1c, total cholesterol, LDL, HDL, triglycerides, urea, serum creatinine were similar among male and female patients.

      Data with respect to dietary pattern of the subjects indicated that 79% of them followed the diet recommended by American Diabetes Association (ADA). However, the higher HbA1c values point out that all the participants were of poor glycemic control.

Table 1. Baseline characteristics of type 1 diabetic patients at the time of diagnosis

Parameters*** Total** Male Female p
(n)% 162 (76)46.91 (86)53.09 NA
Age, years (mean ± SD) 6.79±2.42 6.37±2.67 7.16±2.13 0.037*
1-3 years(n)% (22)13.6 (16)72.7 (6)27.3 NA
4-6 years(n)% (43)26.5 (17)39.5 (26)60.5 NA
7-10 years(n)% (97)59.9 (43)44.3 (54)55.7 NA
Height (cm) (mean ± SD) 119±14.9 116±16.42 121±13.09 0.029*
Weight (kg) (mean ± SD) 24.29±8.71 23.29±9.18 25.17±8.23 0.17
BMI, kg/m2(mean ± SD) 16.59±2.87 16.57±2.89 16.61±2.87 0.924
HbA1c, % (mean ± SD) 10.46±2.14 10.14±2.09 10.74±2.15 0.076
Total cholesterol, mmol/L (mean ± SD) 4.27±0.49 4.64±0.13 4.23±0.49 0.272
LDL, mmol/L (mean ± SD) 2.49±0.54 2.96±0.10 2.44±0.54 0.214
HDL, mmol/L (mean ± SD) 1.39±0.29 1.07±0.57 1.43±0.24 0.094
Triglycerides, mmol/L (mean ± SD) 0.61±0.15 0.59±0.14± 0.62±0.15 0.82
Urea, mmol/L (mean ± SD) 4.42±1.49 4.57±1.38 4.31±1.58 0.384
Serum creatinine, µmol/L (mean ± SD) 59.76±15.10 58.52±15.59 60.73±14.77 0.46
Dietary pattern
     Regular diet (n)% (34)20.99 (12)15.8 (22)25.6 NA
ADA recommended diet(n)% (128)79.01 (64)84.2 (64)74.4 NA
* Values of p < 0.05 were considered significant
** Data are presented as percentage and mean ± standard deviation.
*** Abbreviations: - BMI; body mass index, LDL; low density lipoprotein, HDL; high-density lipoprotein, ADA; American Diabetes Association.

     The height for the age distribution of male subjects was exhibited in Table 2. It was observed that, the height for age of the subjects who were diagnosed with diabetes at the age of 3 years was significantly (p = 0.040) lower than the standard cutoff, and the height showed a decreasing tendency for five years follow-up. No significant difference was found in height for age for the subjects diagnosed with diabetes at the age of 4-6 years. Further, male subjects diagnosed with diabetes at the age of 7 onwards were significantly (p = 0.005) lower than the standard cutoff, and the height showed a decreasing tendency for five-year follow-up.

      The height for the age distribution of female subjects is given in Table 3. Unlike males, female subjects diagnosed with diabetes at the age of 4-10 were significantly (p=0.049) lower than the standard cutoff. This decreasing tendency from the standard cutoff was observed throughout the five year follow-up.

      The BMI for the age distribution of both male and female subjects are shown in Tables 4 and 5. The BMI for age for the male subjects diagnosed with diabetes at the age of 7 was significantly (p=0. 045) lower than the standard cutoff, and the BMI showed a decreasing tendency for five-year follow-up. The BMI for age for the female subjects diagnosed with diabetes at the age of 9 years was lower than the standard cutoff, and the BMI significantly (p=0.009) decreased after a two-year follow-up.


Discussion
      This study aimed to evaluate the long-term effect of hyperglycemia due to T1D on the height and BMI of children. Our study observed that children with TID were shorter when compared to standard cutoff values. Reduced growth pattern as evidenced by slow rate of increase in height was exhibited by both male and female T1D patients during the five year follow up.

      Those male subjects with T1D, diagnosed under the age of 7 years were similar in height. But a significantly lower height velocity was found in patients diagnosed at an age more than seven years.

      Similar trend of significantly lower height velocity was exhibited by female subjects who were diagnosed T1D at an age more than four years. Our study's result was contradictory to previous findings that children with T1D aged 5-10 years at diagnosis were taller than controls of the same age, while those diagnosed at <5 years of age were shorter [13].

       Hypponen et al., reported that children with T1D gained more weight during infancy and exhibited more remarkable linear growth than healthy controls at the time of diagnosis [14].

      In this study, the HbA1c values of T1D throughout the study indicate all participants were with poor glycemic control and with insufficient insulin concentration precipitated by T1D. Adequate insulin concentration is needed to maintain normal serum concentrations of IGFs, and IGFBPs. IGFs had a pivotal role in both muscle and bone turnover with subsequent increase in bone length by regulating growth plate chondrocyte proliferation and maturation [4, 5, 15]. Earlier studies reported that IGF-1 serve as a significant determinant of height; this has a more substantial influence than glycemic control and insulin level [16]. Furthermore, the insulin treatment has a direct positive relation to IGF-1 level. Hence, higher insulin dosages have been associated with increased height in children with T1D [17].

Table 2. Height for age distribution of male subjects

Age at diagnosis of T1D Year 1 Year 2 Year 3 Year 4 Year 5
Actual Height mean (SD) Standard height for age p Actual Height mean (SD) Standard height for age p Actual Height mean (SD) Standard height for age p Actual Height mean (SD) Standard height for age p Actual Height mean (SD) Standard height for age p
1( n=3) 84

(6.65)

80.24 0.629 94.5

(1.26)

92.14 0.202 98.5

(2.5)

101.02 0.419 104.3

(2.33)

109.02 0.182 109.3

(1.45)

114.32 0.075
2 (n=6) 89.2

(2.66)

92.14 0.315 98.9

(2.68)

101.02 0.468 107.2

(2.28)

109.02 0.453 119.2

(1.56)

114.32 0.185 116.2

(2.00)

121.25 0.061
3 (n=7) 94.6

 (2.43)

101.02 0.040* 99.5

(2.64)

109.02 0.011* 105.6

(3.23)

114.32 0.036* 110.2

(2.7)

121.25 0.006* 115

(3.08)

127.00 0.008*
4 (n=3) 109

(2.0)

109.02 0.993 116.8

(2.04)

114.32 0.345 122.1

(1.07)

121.25 0.51 127

(1.32)

127.00 1 130.7

(1.33)

132.5 0.303
5 (n=6) 113.3

(2.89)

114.32 0.738 120.7

(2.87)

121.25 0.86 126.8

(3.53)

127.00 0.953 132.3

(3.27)

132.5 0.961 136.5

(3.20

137.5 0.768
6 (n=8) 119.3

(2.36)

121.25 0.453 123.8

(2.46)

127.00 0.234 128.1

(2.13)

132.5 0.08 133.6

(2.36)

137.5 0.142 139

(2.17)

142.5 0.151
7 (n=15) 121.3

(1.73)

127 0.005* 126

(1.69)

132.5 0.002* 131.5

(1.82)

137.5 0.005* 135.9

(2.05)

142.5 0.006* 140.1

(2.080

147.5 0.003*
8( n=9) 122.4

(2.31)

132.5 0.002* 127.7

(2.36)

137.5 0.003* 132.8

(2.33)

142.5 0.003* 137.9

(2.62)

147.5 0.007* 143.4

(2.69)

154.0 0.004*
9 (n=9) 131.1

(2.58)

137.5 0.039* 135.9

(3.12)

142.5 0.067 140.2

(3.04)

147.5 0.044* 143.9

(3.42)

154.0 0.019* 149.6

(4.17)

160.0 0.037*
10 (n=10) 134

(2.27)

142.5 0.005* 140.7

(1.54)

147.5 0.002* 144.9

(1.73)

154.0 0.001* 149.4

(2.21)

160.0 0.001* 155.5

(2.78)

166.25 0.004*
* Values of p < 0.05 were considered significant

Table 3.  Height for age distribution of female subjects

Age at diagnosis of T1D Year 1 Year 2 Year 3 Year 4 Year 5
Actual Height mean (SD) Standard height for age p Actual Height mean (SD) Standard height for age p Actual Height mean (SD) Standard height for age p Actual Height mean (SD) Standard height for age p Actual Height mean (SD) Standard height for age p
2( n=1) 85.1 91.68 - 89.5 100.46 - 105 108.59 - 107 113.72 - 111.5 120 -
3 (n=5) 99.5

 (2.95)

100.46 0.775 109.4

(2.67)

108.59 0.777 115.6

(4.96)

113.72 0.724 120.2

(2.4)

120 0.9 124.5

(2.88)

126.25 0.569
4 (n=7) 104.9

(1.5)

108.59 0.049* 109.6

(1.39)

113.72 0.026* 116.7

(1.92)

120 0.097 121.6

(1.45)

126.25 0.018* 130.2

(3.83)

132 0.65
5 (n=7) 108.8

(1.67)

113.72 0.026* 115.2

(1.97)

120 0.036* 120

(1.41)

126.25 0.004* 128.1

(3.51)

132 0.315 130.2

(2.07)

137.25 0.014*
6 (n=12) 116.6

(1.45)

120 0.020* 120.9

(1.27

126.25 0.001* 126.8

(1.07)

132 <0.001* 118.7

(1.05)

137.25 0.341 138.3

(1.79)

143 0.023*
7 (n=6) 125.1

(2.47)

126.25 0.661 129.7

(1.56)

132 0.191 137.1

(2.05)

137.25 0.945 142.5

(2.38)

143 0.847 148.4

(2.87)

149.5 0.721
8 (n=19) 125.7

(1.97)

132 0.005* 130.2

(1.78)

137.25 0.001* 134.7

(1.21)

143 <0.001* 140.3

(1.26)

149.5 <0.001* 145.3

(1.39)

155 <0.001*
9 (n=20) 130.9

(1.68)

137.25 0.001* 135.9

(2.01)

143 0.002* 140.3

(1.65

149.5 <0.001** 146.0

(1.68)

155 <0.001* 150.3

(1.35

158.5 <0.001*
10 (n=9) 136.1

(1.41)

143 0.001* 141.7

(1.29)

149.5 0.001* 149.0

(1.63)

155 0.006* 151.9

(1.12)

158.5 <0.001* 154.3

(1.38)

161.75 0.001*
* Values of p < 0.05 were considered significant

Table 4. BMI for age distribution of male subjects

Age at diagnosis of T1D Year 1 Year 2 Year 3 Year 4 Year 5
Actual BMI mean (SD) Standard BMI for age p Actual BMI mean (SD) Standard BMI for age p Actual BMI mean (SD) Standard BMI for age p Actual BMI mean (SD) Standard BMI for age p Actual BMI mean (SD) Standard BMI for age p
1 (n=3) 16.92

(1.66)

18.81 0.188 15.33

(0.90)

17.29 0.064 14.25

(0.51)

16.60 0.016* 13.80

(0.72)

16.01 0.034* 13.82

(0.60)

15.77 0.031*
2 (n=6) 16.39

(1.56)

17.29 0.219 16.01

(1.60)

16.60 0.409 15.35

(0.98)

16.01 0.164 15.07

(1.08)

15.77 0.175 15.27

(1.26)

16.00 0.215
3 (n=7) 15.98

(0.86)

16.60 0.113 16.44

(1.37)

16.01 0.431 16.39

(1.75)

15.77 0.378 16.46

(2.32)

16.00 0.618 15.76

(2.68)

16.20 0.684
4 (n=3) 15.41

(1.81)

16.01 0.628 14.94

(1.63)

15.77 0.476 14.85

(0.55)

16.00 0.069 15.13

(0.81)

16.20 0.151 15.34

(0.92)

16.80 0.111
5 (n=6) 15.91

(2.11)

15.77 0.871 14.65

(3.82)

16.00 0.429 16.56

(2.79)

16.20 0.761 16.95

(2.78)

16.80 0.895 17.79

(3.02)

17.50 0.821
6 (n=8) 15.75

(1.70)

16.00 0.699 15.79

(1.11)

16.20 0.342 16.43

(1.71)

16.80 0.563 18.14

(3.03)

17.50 0.565 18.61

(3.40)

18.50 0.925
7 (n=15) 14.90

(2.27)

16.20 0.045* 15.48

(1.57)

16.80 0.006* 15.70

(1.95)

17.50 0.003* 16.26

(2.37)

18.50 0.003* 16.73

(2.79)

18.90 0.010*
8 (n=9) 15.73

(1.80)

16.80 0.115 16.73

(2.74)

17.50 0.428 16.79

(2.64)

18.50 0.088 17.79

(3.33)

18.90 0.351 18.94

(3.90)

20.2 0.365
9 (n=9) 18.09

(3.53)

17.50 0.627 18.91

(3.49)

18.50 0.732 19.08

(4.09)

18.90 0.898 20.81

(4.64)

18.90 0.703 21.48

(4.88)

21.0 0.777
10 (n=10) 20.27

(3.88)

18.50 0.183 19.71

(2.93)

18.90 0.403 20.52

(3.29)

18.90 0.764 20.28

(2.64)

21.0 0.409 21.48

(2.75)

21.8 0.726
* Values of p < 0.05 were considered significant

Table 5. BMI for age distribution of female subjects.

Age at diagnosis of T1D Year 1 Year 2 Year 3 Year 4 Year 5
Actual BMI mean (SD) Standard BMI for age p Actual BMI mean (SD) Standard BMI for age p Actual BMI mean (SD) Standard BMI for age p Actual BMI mean (SD) Standard BMI for age p Actual BMI mean (SD) Standard BMI for age p
2 (n=1) 15.32 17.28 - 14.73 16.34 - 13.33 15.97 - 13.63 15.80 - 13.67 15.9 -
3 (n=5) 16.32

(2.46)

16.34 0.986 15.80

(2.24)

15.97 0.880 16.63

(1.66)

15.80 0.324 16.68

(2.10)

15.90 0.456 17.94

(2.19)

16.10 0.133
4 (n=7) 15.45

(1.97)

15.97 0.513 16.22

(1.75)

15.80 0.549 15.99

(1.28)

15.90 0.857 15.65

(2.29)

16.10 0.626 15.84

(3.88)

16.90 0.497
5 (n=7) 15.61

(1.11)

15.80 0.674 16.07

(1.46)

15.90 0.764 16.52

(2.12)

16.10 0.618 16.83

(2.22)

16.90 0.948 17.65

(2.32)

17.80 0.872
6 (n=12) 15.55

(2.99)

15.90 0.696 16.46

(2.36)

16.10 0.607 16.74

(2.74)

16.90 0.847 16.10

(5.84)

17.80 0.337 17.93

(3.21)

18.80 0.369
7(n=6) 16.20

(1.63)

16.10 0.879 16.82

(2.53)

16.90 0.946 17.02

(2.54)

17.80 0.487 17.91

(3.20)

18.80 0.529 18.69

(2.81)

19.80 0.376
8 (n=19) 17.53

(3.63)

16.90 0.455 18.27

(3.90)

17.80 0.600 18.01

(3.02)

18.80 0.276 18.99

(3.78)

19.80 0.367 21.14

(4.09)

21.0 0.880
9 (n=20) 16.63

(2.98)

17.80 0.097 17.19

(4.03)

18.80 0.092 18.03

(2.72)

19.80 0.009* 19.19

(3.59)

21.0 0.036* 21.35

(4.30)

22.0 0.507
10 (n=9) 18.33

(2.52)

18.80 0.596 18.99

(2.96)

19.80 0.438 20.84

(4.44)

21.0 0.918 22.83

(3.75)

22.0 0.526 25.28

(3.61)

23.2 0.122
* Values of p < 0.05 were considered significant

      In previous studies, it was observed that obesity and cardio-metabolic risk factors were highly prevalent in a pediatric cohort with T1D [18]. Our data on newly diagnosed type 1 diabetes indicated that BMI at diagnosis of the disease was not significantly different from standard cutoff values for both males and females with type 1 diabetes. Furthermore, BMI at diagnosis for seven years and nine years respectively for males and females showed dissimilarity.

      A study on pubertal characteristics among schoolgirls in Saudi Arabia revealed that schoolgirls' mean puberty age was reported as 10 ± 0.80 years [19]. In our study, we observed that female T1D patients diagnosed with diabetes at the age of 9 were lower than the standard cutoff BMI, and the BMI significantly decreased after two years of the disease diagnosed at the age of 9.

       A previous study among female children from Saudi Arabia noted a significant positive correlation between the onset of puberty and BMI [20]. BMI of female subjects of our study was lower than the standard cutoff at the pubertal age. Hence it is assumed that delayed somatic growth pattern can alter the onset of puberty. In this regard, the role of dietary pattern can be ruled out as 74.4% of the female subjects followed ADA recommended diet. The possible delay in puberty may be due to the interplay between GH and the altered metabolism.

      Among male pediatrics diagnosed with T1D at the age of 9 and above shows higher BMI than the standard cutoff, but not significant. The age at onset of pubertal characteristics, based on gonadal development, among Saudi boys were reported to be between 11 and 15 years [21]. In Saudi boys, it was well demonstrated that BMI increased from 11 to 13 years of age, and BMI in childhood and adolescence was associated with height, sex, and pubertal status [22, 23].

      The study's primary limitations are related to data collection, from the electronic files from the best care system and quadramed. Due to the unavailability of data related to insulin dosage, the role of IGF in maintaining the height of the children cannot be illustrated. Furthermore, data related to the pubertal status of participants are also unavailable.


Conclusion
      Based on the study results, it was concluded that T1D could cause long-term and short-term hyperglycemic irreversible effects on the affected child's growth pattern. Hence adequate medical management with precise insulin dosage and nutrition care is vital for achieving appropriate growth velocity among children with T1D. It is recommended to conduct a large sample study with more nutritional factors influencing the growth velocity. Programs to monitor food and nutrient intake, physical activity for glycemic control should be planned and implemented along with diabetic care of children.


Competing interests: The authors wish to declare that there is no competing interest at any stage of the study and preparation of manuscript.


References

  1. International Diabetes Federation. 9th. Brussels, Belgium: International Diabetes Federation; 2019.
  2. Mobasseri M, Shirmohammadi M, Amiri T, Vahed N, Hosseini Fard H et al. (2020) Prevalence and incidence of type 1 diabetes in the world: a systematic review and meta-analysis. Health Promot Perspect 10:98-115.
  3. Butalia S, Kaplan GG, Khokhar B, Haubrich S, Rabi DM (2020) The Challenges of Identifying Environmental Determinants of Type 1 Diabetes: In Search of the Holy Grail. Diabetes Metab Syndr Obes 13:4885-4895.
  4. Giannini C, Mohn A, Chiarelli F (2014) Growth abnormalities in children with type 1 diabetes, juvenile chronic arthritis, and asthma. Int J Endocrinol 265954.
  5. Virmani A (2015) Growth disorders in type 1 diabetes: an Indian experience. Indian J Endocrinol Metab 19: 64-67.
  6. Knerr I, Wolf J, Reinehr T, Stachow R, Grabert M et al. (2005) DPV Scientific Initiative of Germany and Austria. The 'accelerator hypothesis': relationship between weight, height, body mass index and age at diagnosis in a large cohort of 9,248 German and Austrian children with type 1 diabetes mellitus. Diabetologia 48:2501-2504.
  7. Parthasarathy L, Khadilkar V, Chiplonkar S, Khadilkar A (2016) Longitudinal Growth in Children and Adolescents with Type 1 Diabetes. Indian Pediatr 53:990-992. doi: 10.1007/s13312--0160974-1.
  8. Gabri MF, Abdshaheed TS, Zaki EH, ElNakeeb IF, Aly HM (2020) Growth Disorders in Children with Type 1 Diabetes in Aswan, Egypt. Egyptian Journal of Hospital Medicine 81:1726-1731.
  9. World Medical Association. World Medical Association Declaration of Helsinki: ethical principles for medical research involving human patients. JAMA 2013; 310:2191-2194.
  10. Raosoft.com/samplesize.html
  11. Shaik SA, ElMouzan MI, AlSalloum AA, Al Herbish AS (2016) Growth reference for Saudi preschool children: LMS parameters and percentiles. Ann Saudi Med 36:2-6.
  12. El Mouzan MI, Al Herbish AS, Al Salloum AA, Foster PJ, Al Omar AA et al. (2008) Comparison of the 2005 growth charts for Saudi children and adolescents to the 2000 CDC growth charts. Ann Saudi Med 28:334-340.
  13. Massa G, Dooms L, Bouillon R, Vanderschueren- Lodeweyckx M (1993) Serum levels of growth hormone-binding protein and insulin-like growth factor I in children and adolescents with type 1 (insulin-dependent) diabetes mellitus. Diabetologia 36:239-243.
  14. Hypponen E, Virtanen SM, Kenward MG, Knip M, Akerblom HK (2003) Obesity, increased linear growth, and risk of type 1 diabetes in children. Diabetes Care 23:1755-1760.
  15. Colao A, Di Somma C, Filippella M, Rota F, Pivonello R et al. (2004) Insulin-like growth factor-1 deficiency determines increased intima-media thickness at common carotid arteries in adult patients with growth hormone deficiency. Clin Endocrinol (Oxf) 61:360-366.
  16. Elamin A, Hussein O, Tuvemo T (2006) Growth, puberty, and final height in children with Type 1 diabetes. J Diabetes Complications 20:252-256.
  17. Song W, Qiao Y, Xue J, Zhao F, Yang X et al. (2018) The association of insulin-like growth factor-1 standard deviation score and height in Chinese children with type 1 diabetes mellitus. Growth Factors 36:274-282.
  18. van Vliet M, Van der Heyden JC, Diamant M, Von Rosenstiel IA, Schindhelm RK (2010) Overweight is highly prevalent in children with type 1 diabetes and associates with cardiometabolic risk. J Pediatr 156:923-929.
  19. Felimban N, Jawdat D, Al-Twaijri Y, Al-Mutair A, Tamimi W (2013) Pubertal characteristics among schoolgirls in Riyadh, Saudi Arabia. Eur J Pediatr 172:971-975.
  20. Filimban AAR, Maimanee TA (2015) Early Puberty and Its Relation to Body Mass Index among Schoolgirls in the City of Jeddah, Saudi Arabia. American-Eurasian J. Agric. & Environ. Sci 15:1868-1872.
  21. Al Alwan I, Felimban N, Altwaijri Y, Tamim H, Al Mutair A et al. (2010) Puberty onset among boys in riyadh, saudi arabia. Clin Med Insights Pediatr 4:19-24.
  22. Al-Hazzaa H (1995) About BMI and obesity. Ann Saudi Med 15:427-428.
  23. Bini V, Celi F, Berioli M, Bacosi M, Stella P et al. (2000) Body mass index in children and adolescents according to age and pubertal stage. Eur J Clin Nutr 54:214-218.