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Inicio Endocrinología, Diabetes y Nutrición (English ed.) Screening for non-invasive risk factors of type 2 diabetes in overweight and obe...
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Vol. 68. Issue 8.
Pages 527-533 (October 2021)
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Vol. 68. Issue 8.
Pages 527-533 (October 2021)
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Screening for non-invasive risk factors of type 2 diabetes in overweight and obese schoolchildren
Cribado de factores de riesgo no invasivos de diabetes tipo 2 en escolares con sobrepeso y obesidad
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Huda Al Hourania,
Corresponding author
hhourani@hu.edu.jo

Corresponding author.
, Manar Atoumb, Foad Alzoughoolb, Islam Al-Shamia
a Department of Clinical Nutrition and Dietetics, Faculty of Applied Medical Sciences. The Hashemite University, Zarqa, 13133, Jordan
b Department of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, The Hashemite University, Zarqa, 13133, Jordan
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Figures (1)
Tables (4)
Table 1. Characteristics of participants.
Table 2. Prevalence of thinness and severe thinness, normal, overweight and obesity among study participants.
Table 3. Gender characteristics of overweight and obese participants at high risk for developing T2DM.
Table 4. Distribution of participants according to number of risk factors present.
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Abstract
Introduction

The prevalence of type 2 diabetes mellitus (T2DM) is increasing among young people worldwide. The American Diabetes Association has defined the risk factors that are associated with this increased risk for developing T2DM in youths.

Objective

To explore school children at high-risk for T2DM in Jordan.

Materials and methods

A descriptive cross-sectional study was conducted. The children were 10–14.9 years old. Weight, height, and waist circumference were measured, and the body mass index Z score (BMI) was determined. The waist to height ratio (WHtR) was calculated. Blood pressure was measured and three child́s risk factors were identified.

Results

Eight hundred and seventy-one schoolchildren were screened; 26.0% were overweight and 19.3% were obese. The most common risk factor among overweight and obese children, accounting for 80.4%, was a positive family history of type 2 diabetes mellitus in first- or second-degree relatives. Children born to mothers with diabetes or gestational diabetes mellitus during the child's gestation represented 17.3%, and around 26.8% were found to have hypertension (stage 1 or 2). In relation to the risk factors, 12.6% presented no risk factors; 54.0% had at least one factor; 29.1% two risk factors and 4.3% had three risk factors.

Conclusion

Risk factors for T2DM are very common. Around 54% had one risk factor. Strategies aimed at reducing risk factors for T2DM, especially obesity, among Jordanian school children are urgently needed.

Keywords:
Type 2 diabetes mellitus
School children
Risk factors
Obesity
Resumen
Introducción

La prevalencia de diabetes mellitus tipo 2 (DM2) está aumentando en los jóvenes de todo el mundo. La American Diabetes Association ha definido los factores de riesgo que se asocian con un mayor riesgo de desarrollar DM2 en los jóvenes.

Objetivo

Explorar en busca de DM2 a los escolares de alto riesgo de Jordania.

Pacientes y métodos

Se realizó un estudio transversal descriptivo. Niños de 10-14,9 años. Se midieron el peso, la estatura y el perímetro de la cintura, y se determinó la puntuación Z del índice de masa corporal; también se calculó el cociente entre cintura y talla. Se midió la presión arterial y se identificaron los 3 factores de riesgo de los niños.

Resultados

Se sometió a cribado a 871, de los que el 26,0% tenía sobrepeso y el 19,3% obesidad. El factor de riesgo más frecuente en los niños con sobrepeso y obesos eran los antecedentes familiares de DM2 en parientes de primer o segundo grado, presentes en el 80,4%; los niños nacidos de madres con diabetes o diabetes mellitus gestacional durante la gestación del niño suponían el 17,3% y alrededor del 26,8% tenía hipertensión (estadio 1 o 2). No había factores de riesgo en el 12,6%, el 54,0% tenía al menos un factor, el 29,1% 2 factores de riesgo y el 4,3% 3 factores de riesgo.

Conclusión

Los factores de riesgo de DM2 son muy frecuentes. Alrededor del 54% tenía un factor de riesgo. Las estrategias dirigidas a reducir los factores de riesgo de DM2, especialmente la obesidad, en los escolares jordanos son una necesidad urgente.

Palabras clave:
Diabetes mellitus tipo 2
Escolares
Factores de riesgo
Obesidad
Full Text
Introduction

Diabetes is a complex, chronic illness requiring continuous medical care. The prevalence of diabetes mellitus (DM) is growing worldwide and has reached epidemic proportions in many developing and most developed countries.1 Globally, type 2 diabetes mellitus (T2DM) accounts for more than 90% of the cases of diabetes; the prevalence of T2DM has increased, impacting on health and economies worldwide. Approximately 1 in 11 adults worldwide now has diabetes mellitus.1,2 Generally, T2DM was considered to be exclusively an adult's chronic medical condition. The first cases of T2DM in youth were reported in the mid of 1990s3 with an increasing incidence of T2DM in children and adolescents noted in both developed and developing countries in recent decades.4 Type 2 diabetes mellitus occurs in youth more often during the second decade of life, coinciding with the physiological occurrence of pubertal insulin resistance.5

Type 2 diabetes mellitus has been expanding as a global public health problem in children and adolescents. The disease is emerging among children all around the world. Epidemiologic studies have shown that the incidence of type 2 diabetes in children and adolescents ranges between 1 and 51 per 1000.6 In the Arab world, the overall prevalence of T2DM was 34.9 per 100,000 persons in Kuwait, and 2.9 per 100,000 per year in Qatar.7 It was 9.04% in Saudi Arabia,8 and the prevalence of prediabetes and T2DM was 5.4% and 0.87%, respectively, in the United Arab Emirates.9 In Sudan 4% of the children were reported to have T2DM.10

The alarming increase of T2DM in youths is mostly attributable to a high prevalence of childhood overweight and obesity. Overweight and obesity are major contributors to the development of insulin resistance, which is considered a feature of T2DM.9,11 As overweight and obesity are the main factors in the development T2DM and Jordan experienced increases in the prevalence of overweight and obesity among children and adolescents. Recent research reported that the prevalence of overweight and obesity in children aged 6–17 years was 17.3%, and 15.7%, respectively.12 In addition, the overall prevalence of malnutrition characterized by overweight and obesity together among children aged 10–17 years old was 46.1%.13

Type 2 diabetes is often asymptomatic in its early stages. This makes diagnosis difficult without an awareness of the risk factors. Consequently, the American Diabetes Association (ADA) recommends screening for type 2 diabetes beginning at 10 years of age or the onset of puberty in children who are overweight or obese and who have one or more additional risk factors including signs of insulin resistance or conditions associated with insulin resistance such as hypertension, race/ethnicity, a family history of type 2 diabetes in a first- or second-degree relative, or maternal history of diabetes or gestational diabetes mellitus (GDM) during the child's gestation.14

In Jordan, most of the available studies reported the prevalence of type1 and 2 diabetes mellitus in the general population. However, there have not been any studies on the prevalence of T2DM and its related risk factors among overweight or obese children and adolescents. Therefore, the principal aim of this study is to identify the prevalence of three noninvasive risk factors of T2DM in overweight and obese children and adolescent's population in school settings.

Materials and methods

This school based descriptive cross-sectional study was conducted in the city of Amman between December 2018 and March 2019. The City of Amman has five directorates of education in public schools and one for private ones. The selected schools from those directorates were upon agreeing of the headmasters take part in this study. A total 1400 questionnaires were distributed to parents of children aged 10–14.9 years old, attending 5th–8th grades. A total of 871 students were effectively enrolled in this study from eight public and five private schools. with a response rate of 62.2%.

Data were collected through a questionnaire and direct measurements (i.e., students’ weight, height, waist circumference and blood pressure). A self-administered questionnaire was sent to parents through their children. The questionnaire asked for the child's date of birth, birth weight, maternal history of diabetes or GDM during the child's gestation, and family history of type 2 diabetes in first- or second-degree relatives.

School directors were informed of the purpose and contents of the data collection tool, and permission was obtained to conduct the study. An explanation of the aim of the study was provided to students to obtain their initial approval. An informed consent document including a simple explanation of the aim of the study was sent with each student home to be signed by their parents.

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration. This study was approved by The Hashemite University (IRB number: 9/6/2017/2018) and Ministry of Education (3/10/51911).

Height, weight, and waist circumference (WC) were measured by a trained nutritionist. Height was measured to the nearest 0.1cm in standing position at Frankfurt plane with the occipital, shoulder and the buttock touching the vertical stand using a stadiometer seca (Germany). Weight was measured to the nearest 0.1kg using an electronic scale with participants wearing light clothes and no shoes. Waist circumference was measured midway between the lower rib margin and the iliac crest with plastic tape to the nearest 1mm. Weight and height were entered into WHO Anthro-Plus software (v1.0.4, WHO, Geneva, Switzerland). Body mass index-for-age Z-score (BAZ) was calculated. For the association of the BMI-for-age with overweight and obesity, values >+1SD represent overweight (equivalent to BMI 25kg/m2 at 19 years) and >+2SD represent obesity (equivalent to BMI 30kg/m2 at 19 years) according to the WHO reference curves (2007). Whereas, values between +1 SD and −2 SD was considered normal and values >−2 and −>3 were considered thinness and severe thinness respectively.15 Waist to height ratio (WHtR) was calculated. A WHtR cutoff of ≥0.5 is generally accepted as a universal cutoff for obesity in children (aged ≥6 years) and adults.16

Blood pressure (BP) was measured by a trained nurse using a calibrated MicroLife automated blood pressure A3 Plus (CH-9443 Widnau/Switzerland) monitor with an appropriate cuff size. All students were instructed to rest for at least 5min. Blood pressure was measured in the right arm for all participants. Measurements were taken two times with short intervals between readings, and the average of BP readings was calculated. Around 13% of the students refused to measure their blood pressure as they scared. Blood pressure was categorized for children between 1 and 13 years of age as follows: normal BP – both systolic BP (SBP) and diastolic BP (DBP) <90th percentile; elevated BP – SBP and/or DBP ≥90th percentile but <95th percentile; stage 1 hypertension – SBP and/or DBP ≥95th percentile; stage 2 hypertension – SBP and/or DBP ≥95th percentile+12mmHg for age, sex, and height. For children ≥13 years of age: normal BP – BP <120/80mmHg; elevated BP – SBP between 120 and 129 with a DBP <80mmHg; stage 1 hypertension – BP between 130/80 to 139/89mmHg; stage 2 hypertension – BP ≥140/90mmHg.17

Analyses were carried out using Statistical Package for Social Sciences (SPSS) software (IBM Corp. Released 2012. IBM SPSS Statistics for Windows, Version 21.0. Armonk, NY: IBM Corp). Descriptive statistics are presented in percentages for categorical variables. The chi-square test was used to compare percentages. A P-value of <0.05 was considered statistically significant.

Results

A total of 871 school children aged 10–14.9 years were enrolled, of which 290 (33.3%) were boys and 581 (66.7%) were girls; the mean age was 11.9± 1.1 years with a predominance of children aged 11 years old, with 34.4%. As shown in Table 1, the mean WHtR and BAZ were significantly higher in boys compared to girls (0.45 vs. 0.43. P<0.001; 1.05 vs. 0.75. P=0.001) respectively.

Table 1.

Characteristics of participants.

Characteristics  Boys (n=290)  Girls (n=581)  P  Total (n=871) 
Agea
10 years  54 (18.6)  104 (17.9)  < 0.001158 (18.1) 
11 years  127 (43.8)  173 (29.8)  300 (34.4) 
12 years  77 (26.6)  138 (23.8)  215 (24.7) 
13 years  26 (9.0)  120 (20.7)  146 (16.8) 
14 years  6 (2.1)  46 (7.9)  52 (6.0) 
WHtRb  0.45±0.07  0.43±0.05  < 0.001  0.44±0.06 
BAZb  1.05±1.3  0.75±1.2  0.001  0.85±1.3 
Systolic blood pressure (mmHg)b  107.1±15.5  107.8±15.5  0.524  107.5±15.6 
Diastolic blood pressure (mmHg)b  69.4±10.7  69.3±10.9  0.920  69.4±10.9 

WHtR: waist to height ratio. BAZ: body mass index-for-age Z-score.

a

n (%).

b

Mean±SD.

The risk-based screening for type 2 diabetes should be considered in children and adolescents with overweight or obesity. Table 2 showed that nearly 50% of the participants were of normal BMI. The overall prevalence of overweight was 26%. A higher prevalence of overweight was found among girls, with 27.2% being overweight compared to 23.4% of boys. Obesity was verified among 19.3% of the total sample. Here, on the contrary, a higher prevalence of obesity was found among boys, with 25.9% being obese compared to 16.0% of girls. Additionally, significant association (P=0.012) was found between gender and BMI status among children.

Table 2.

Prevalence of thinness and severe thinness, normal, overweight and obesity among study participants.

BMI  Boys N (%)  Girls N (%)  P  Total N (%) 
Severe thinness  1 (0.3)  4 (0.7)  0.0125 (0.6) 
Thinness  14 (4.8)  39 (6.7)  53 (6.1) 
Normal  132 (45.5)  286 (49.4)  418 (47.9) 
Overweight  68 (23.4)  159 (27.4)  227 (26.1) 
Obese  75 (25.9)  93 (16.0)  168 (19.3) 
Total  290 (33.3)  581 (66.7)  871 (100.0) 

Fig. 1 showed that BMI for age distribution curve shifted to the right when compared to the WHO reference curve in both boys and girls. The mean BAZ (standard deviation) was 0.85 (1.3). The curve of boys was more inclined to the right than for girls and BAZ for boys was higher than for girls (1.05 vs. 0.75).

Figure 1.

Distribution of BMI for age in studied children compared with WHO standard.

(0.16MB).

Gender characteristics of overweight and obese school children at high risk for developing T2DM are shown in Table 3. A total of 80.4% of children had a positive family history of T2DM in a first- or second-degree relatives excluding mothers, whereas 17.3% of children had mothers with a maternal history of diabetes or GDM during the child's gestation. Children who had high systolic or diastolic BP at the time of data collection were 26.8%. Children who had abnormal WHtR were 27.2% and significant association (P=0.009) was found between gender and WHtR among children.

Table 3.

Gender characteristics of overweight and obese participants at high risk for developing T2DM.

Characteristics  Boys N (%)  Girls N (%)  P  Total N(%) 
Family history of T2DM in first- or second-degree relatives
Presence  109 (78.4)  195 (81.6)  0.453  304 (80.4) 
Absence  30 (21.6)  44 (18.4)    74 (19.6) 
Maternal history of diabetes or GDM during the child's gestation
Presence  27 (19.1)  39 (16.2)  0.459  66 (17.3) 
Absence  114 (80.9)  202 (83.8)    316 (82.7) 
Blood pressure
Normal  78 (55.7)  110 (54.2)  0.115  188 (54.8) 
Prehypertension  19 (13.6)  44 (21.7)    63 (18.4) 
Hypertension  43 (30.7)  49 (24.1)    92 (26.8) 
WHtR
<0.5  93 (65.0)  194 (77.3)  0.009  287 (72.8) 
≥0.5  50 (35.0)  57 (22.7)    107 (27.2) 

In normal weight children, a separate analysis showed that 79.0% of children had a positive family history of T2DM in their first- or second-degree relatives excluding mothers, while 11.0% of children had mothers with a maternal history of diabetes or GDM during the child's gestation, 9.2% had high systolic or diastolic BP, and none of normal weight children had abnormal WHtR.

Table 4 shows the distribution of risk factors among the overweight and obese school children who had an assessment for the three studied risk factors. Almost 12.6% of participants did not have any risk factors. Approximately 54% of the participants had one risk factor, and were identified as at

Table 4.

Distribution of participants according to number of risk factors present.

Number of risk factors present  BoysN (%)  GirlsN (%)  P  Total (%)N (%) 
None  18 (13.2)  23 (12.1)  0.33941 (12.6) 
One risk factor  72 (52.9)  104 (54.7)  176 (54.0) 
Two risk factors  37 (27.2)  58 (30.5)  95 (29.1) 
Three risk factors  9 (6.6)  5 (2.6)  14 (4.3) 

risk for T2DM based on ADA guidelines. A total of 29.1% of the participants had two risk factors, and 4.3% had three risk factors.

Discussion

The American Diabetes Association established guidelines that define children and adolescents who are overweight/obese and have one or more other T2DM risk factors as being at risk of developing T2DM. To the best of our knowledge, this study was the first to address some of the risk factors for T2DM among school children in Jordan.

Considering overweight/obesity are the main drives in the development of T2DM. This study indicates that the prevalence of overweight and obesity were 26% and 19.3%, respectively. In other words, 45% of the children had increased body weight. This study indicates that the prevalence of obesity (19.3%), was higher than that of other studies also carried out in Jordan, which had percentages of 8%, and 5.4%.13,18 On the other hand, the prevalence of overweight was consistent with Neg et al.,18 which was 25.4%. The other two studies showed a lower prevalence of overweight compared to the results of the current study; they were 17.3% and 17%.12 Another study reported that the prevalence of overweight among 10–17 years old children was 36.2%.13 This discrepancy is not of interest since overweight and obesity might be currently affecting a larger number of individuals earlier in life or is simply related to sampling variation; age group coverage or method of diagnosis. In the current study, the most alarming sign was that BMI for age distribution curve was shifted to the right, which indicates a high rate of overweight and obesity in both males and females.

Abdominal obesity such as waist circumference and WHtR is another measure used in the evaluation of cardio metabolic risk factors including T2DM. Some researchers have suggested the use of abdominal obesity measures for the evaluation of obesity and T2DM in children and adolescents.19 In the current study, 27.2% of overweight and obese participants had WHtR0.5, WHtR could be used along with BMI to screen for overweight and obesity among youth. A previous study reported that a WHtR0.5 at 7–9 years increased the risk of having three or more cardiometabolic risk factors in adolescence. In addition, central obesity causes a higher risk for developing insulin resistance.20 In Jordan, none of the studies used waist circumference as a measure for abdominal obesity.

Along with overweight and obesity, a family history of diabetes is associated with T2DM in children. Many studies have shown a strong family history among affected youth, with 74–100% having a first- or second-degree relatives with type 2 diabetes.21 Children with a positive family history of T2DM showed reductions in insulin sensitivity at a younger age than children with no family history. Results from this study showed that approximately 80% of children had a positive family history of T2DM. The present findings seem to be consistent with other research, which found that a positive family history of T2DM was present in 81% of cases,22 and 83.3% of cases in Hungarian school children.23

In the Middle Eastern countries, the prevalence of a positive family history of T2DM was 51.1% in Kuwaiti,24 92% in Sudanese,10 71.4% in Egyptian,25 79.4% in Emirati26 and 70.59% in Saudi overweight and obese children and adolescents.27 On the other hand, positive family history was of low prevalence (11.2%) in Nigeria.28

Youth with a positive family history of T2DM may demonstrate impaired balance between insulin sensitivity and insulin secretion. Studies showed that insulin sensitivity declines by 25–30% as youth transition from prepuberty to puberty.29 Normally, this decrease in insulin sensitivity is compensated by increased insulin secretion. In youth who are predisposed to develop prediabetes and/or type 2 diabetes, β cell compensation is inadequate to lower insulin sensitivity, which is associated with lower insulin clearance that could be an early compensation for the insulin resistance.

Studies on maternal diabetes or GDM and risk of T2DM in youth have suggested that exposure to diabetes during pregnancy has an effect on in utero environment and causes an intrauterine diabetic environment, which increases the risk of developing diabetes in offspring through an epigenetic mechanism.30

Maternal history of diabetes or gestational diabetes mellitus is another non-modifiable risk factor for youth onset T2DM. A smaller number of studies discussed maternal diabetes alone; most of the studies discussed in the context of a family history of T2DM in a first- or second-degree relatives. In UK, Candler et al., reported that 50% of T2DM youth are born to mothers who had diabetes.22 In Kuwaiti children, 20% of T2DM children had mothers with a history of diabetes.24

Insulin resistance is another risk factor for T2DM in youth, Hypertension is considered to be a clinical feature of insulin resistance. Hypertension is a comorbidity of T2DM in youth and thought to be a major risk for nephropathy and atherosclerosis. Hypertension is interrelated to overweight and obesity. In youth it ranges from 3.8% to 24.8%31; the other association observed was between hypertension and increased waist circumference.

In the current study, hypertension was found in 26.8% of the participants. Studies from various parts of the world on hypertension as a risk factor for T2DM in youth revealed that it was present in 32% of Bengali children and adolescents. In Brazil, the prevalence of hypertension was 9.6% among adolescents 12–17 year of age. In Nigeria, the prevalence of prehypertension/hypertension among children identified to be at risk for type 2 DM was 22.8%.28 Hypertension affected 75% of Hungarian overweight and obese school children at risk for T2DM.23 Hypertension is an important risk factor not only for T2DM but also for cardiovascular diseases. It is a modifiable risk factor unlike family history; therefore, it can be prevented with lifestyle modifications.

Given the significance of all mentioned risk factors, one important fact of concern that 54% of this sample presented one risk factor for T2DM while 29.1% presented two factors. Because this problem is a new public health issue, the number of studies addressing the risk factors for T2DM in children and adolescents were few. de Macêdo et al.,32 reported that 53.4% presented no risk factors; 24.3% had at least one factor and 18.8% two risk factors. In Nigeria, 51.9% of students had none of the risk factors while 30.9% had at least one risk factor.28 The results of the above-mentioned studies were inconsistent with the results of the current study. In those studies, the prevalence of overweight and obesity were lower than in the current study, which can be one of the reasons for this considerable difference.

The current study had some important limitations should be noted, First, small sample size. Second, the inability to screen the other conditions associated with insulin resistance such as acanthosis nigricansas, dyslipidemia, polycystic ovary syndrome, or small-for-gestational age birth weight as risk factors of T2DM in schoolchildren. Third, low response rate might be due to the refusal from parents to take part in this study, or to the fact that students, especially boys, forgot giving the questionnaire to their parents or bringing back the study questionnaire sent to their parents. Despite these limitations, this study was unique in its examination of risk factors among schoolchildren. Most previous studies have evaluated adults and there were no data available about the at-risk adolescent population. In addition, among the strengths of this study is that the first research included waist circumference data for this age group, and the findings of this study add advantages for school health screening programs and may provide a base line data for future studies.

Conclusion

In conclusion, risk factors for T2DM are very common. Around 54% had one risk factor. Strategies aimed at reducing risk factors for T2DM, especially obesity, among Jordanian school children are urgently warranted. Early identification by school and health care personnel of adolescents at risk presents an opportunity for early intervention to delay the onset of type 2 diabetes and possibly even to prevent the disease altogether.

Funding

The authors disclosed that they didn’t receive any financial support for this research

Authors’ contribution

All authors were involved in preparing and revision of the paper, and all authors read and approved the final manuscript.

Conflict of interest

The authors stated that they have no conflict of interest

Acknowledgments

We would like to thank the children and their parents who took part in this study, and the headmasters and teachers for their help and cooperation.

References
[1]
N.H. Cho, J.E. Shaw, S. Karuranga, Y. Huang, J.D. da Rocha Fernandes, A.W. Ohlrogge, et al.
IDF Diabetes Atlas: Global estimates of diabetes prevalence for 2017 and projections for 2045.
Diabetes Res Clin Pract, 138 (2018), pp. 271-281
[2]
IDF Diabetes Atlas [Internet].
International Diabetes Federation, (2017),
[3]
I. Libman, S.A. Arslanian.
Type II diabetes mellitus: no longer just adults.
Pediatr Ann, 28 (1999), pp. 589-593
[4]
K. Dileepan, M.M. Feldt.
Type 2 diabetes mellitus in children and adolescents.
Pediatr Rev, 34 (2013), pp. 541-548
[5]
A.L. Rosenbloom, J.H. Silverstein, S. Amemiya, P. Zeitler, G.J. Klingensmith.
Type 2 diabetes in children and adolescents.
Pediatr Diabetes, 10 (2009), pp. 17-32
[6]
E.J. Mayer-Davis, A.R. Kahkoska, C. Jefferies, D. Dabelea, N. Balde, C.X. Gong, et al.
ISPAD Clinical Practice Consensus Guidelines 2018: Definition, epidemiology, and classification of diabetes in children and adolescents.
Pediatr Diabetes, 19 (2018), pp. 7-19
[7]
F. Alyafei, A. Soliman, F. Alkhalaf, A. Sabt, V. De Sanctis, R. Waseef, et al.
Incidence of type 1 and type 2 diabetes, between 2012-2016, among children and adolescents in Qatar.
Acta Biomed, 89 (2018), pp. 7-10
[8]
A. Al-Agha, A. Ocheltree, N. Shata.
Prevalence of hyperinsulinism, type 2 diabetes mellitus and metabolic syndrome among Saudi overweight and obese pediatric patients.
Minerva Pediatr, 64 (2012), pp. 623-631
[9]
E. Al Amiri, M. Abdullatif, A. Abdulle, N. Al Bitar, E.Z. Afandi, M. Parish, et al.
The prevalence, risk factors, and screening measure for prediabetes and diabetes among Emirati overweight/obese children and adolescents.
BMC Public Health, 15 (2015), pp. 1298
[10]
H. Osman, N. Elsadek, M. Abdulla.
Type 2 diabetes in Sudanese children and adolescents.
Sudan J Paediatr, 13 (2013), pp. 17-23
[11]
M.S. Schwartz, A. Chadha.
Type 2 diabetes mellitus in childhood: obesity and insulin resistance.
J Am Osteopath Assoc, 108 (2008), pp. 518-524
[12]
A.A. Zayed, A.M. Beano, F.I. Haddadin, S.S. Radwan, S.A. Allauzy, M.M. Alkhayyat, et al.
Prevalence of short stature, underweight, overweight, and obesity among school children in Jordan.
BMC Public Health, 16 (2016), pp. 1040
[13]
H. Hamad, D. Abu-Hassouneh, M. Ibrahim, M. Faris.
Prevalence of Obesity among Jordanian School-aged Adolescents in Greater Amman.
J Health Med Nurs, 33 (2016), pp. 91-96
[14]
American Diabetes Association.
2. Classification and diagnosis of diabetes: standards of medical care in diabetes-2019.
Diabetes Care, 42 (2019), pp. S13-S28
[15]
M. de Onis, A.W. Onyango, E. Borghi, A. Siyam, C. Nishida, J. Siekmann.
Development of a WHO growth reference for school-aged children and adolescents.
Bull World Health Organ, 85 (2007), pp. 660-667
[16]
E.G. Yoo.
Waist-to-height ratio as a screening tool for obesity and cardiometabolic risk.
Korean J Pediatr, 59 (2016), pp. 425-431
[17]
J.T. Flynn, D.C. Kaelber, C.M. Baker-Smith, D. Blowey, A.E. Carroll, S.R. Daniels, et al.
Clinical practice guideline for screening and management of high blood pressure in children and adolescents.
[18]
M. Ng, T. Fleming, M. Robinson, B. Thomson, N. Graetz, C. Margono, et al.
Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013: a systematic analysis for the Global Burden of Disease Study 2013.
[19]
R. Kelishadi, P. Mirmoghtadaee, H. Najafi, M. Keikha.
Systematic review on the association of abdominal obesity in children and adolescents with cardio-metabolic risk factors.
J Res Med Sci, 20 (2015), pp. 294-307
[20]
L. Graves, S.P. Garnett, C.T. Cowell, L.A. Baur, A. Ness, N. Sattar, et al.
Waist-to-height ratio and cardiometabolic risk factors in adolescence: findings from a prospective birth cohort.
Pediatr Obes, 9 (2014), pp. 327-338
[21]
American Diabetes Association.
Type 2 diabetes in children and adolescents. American Diabetes Association.
Diabetes Care, 23 (2000), pp. 381-389
[22]
T.P. Candler, O. Mahmoud, R.M. Lynn, A.A. Majbar, T.G. Barrett, J.P.H. Shield.
Continuing rise of Type 2 diabetes incidence in children and young people in the UK.
Diabet Med, 35 (2018), pp. 737-744
[23]
A. Lukács, E. Kiss-Tóth, A. Csordás, P. Sasvári, L. Barkai.
Screening risk factors for type 2 diabetes in overweight and obese adolescents in school settings of Hungary: a population-based study.
J King Saud Univ Sci, 30 (2018), pp. 176-179
[24]
M. Moussa, M. Alsaeid, N. Abdella, T. Refai, N. Al-Sheikh, J. Gomez.
Prevalence of Type 2 diabetes mellitus among Kuwaiti children and adolescents.
Med Princ Pract, 17 (2008), pp. 270-275
[25]
B.A. Ali, S.T. Abdallah, A.M. Abdallah, M.M. Hussein.
The frequency of Type 2 diabetes mellitus among diabetic children in El Minia Governorate, Egypt.
Sultan Qaboos Univ Med J, 13 (2013), pp. 399-403
[26]
A. Deeb, S. Attia, S. Mahmoud, G. Elhaj, A. Elfatih.
Insulin resistance, impaired fasting glucose intolerance and Type II diabetes mellitus in overweight and obese children in Abu Dhabi.
J Diab Obes, 4 (2017), pp. 1-8
[27]
K. Al-Rubeaan.
National surveillance for type 1, type 2 diabetes and prediabetes among children and adolescents: a population-based study (SAUDI-DM).
J Epidemiol Community Health, 69 (2015), pp. 1045-1051
[28]
T. Jaja, I. Yarhere.
Risk factors for type 2 diabetes mellitus in adolescents secondary school students in Port Harcourt, Nigeria.
Niger J Paed, 42 (2015), pp. 137-141
[29]
T.S. Hannon, J. Janosky, S.A. Arslanian.
Longitudinal study of physiologic insulin resistance and metabolic changes of puberty.
[30]
S.D. Chernausek, S. Arslanian, S. Caprio, K.C. Copeland, L. El ghormli, M.M. Kelsey, et al.
Relationship between parental diabetes and presentation of metabolic and glycemic function in youth with type 2 diabetes: baseline findings from the TODAY Trial.
Diabetes Care, 39 (2016), pp. 110-117
[31]
C. Koebnick, M.H. Black, J. Wu, M.P. Martinez, N. Smith, B. Kuizon, et al.
High blood pressure in overweight and obese youth: implications for screening.
J Clin Hypertens (Greenwich), 15 (2013), pp. 793-805
[32]
S. de Macêdo, M. de Araújo, N. Marinho, A. Lima, R. de Freitas, M. Damasceno.
Risk factors for type 2 diabetes mellitus in children.
Rev Latino-Am Enfermagem, 18 (2010), pp. 936-942
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