Waist circumference and insulin levels in obese children

Cempaka, Vina Paramitha; Sidiartha, I Gusti Lanang

doi:10.14238/pi57.4.2017.194-7

Cited by 3 publications

(3 citation statements)

References 2 publications

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“…In this study, waist circumference and WHtR were positively correlated with insulin and HOMA-IR. Previous studies have suggested that waist circumference is (Cempaka & Sidiartha, 2017) and HOMA-IR (da Silva et al, 2018;Lim et al, 2015). Waist circumference is more strongly correlated with HOMA-IR than with BMI (Convit et al, 2012).…”

Section: Discussionmentioning

confidence: 90%

Adiponectin, anthropometric measurements and insulin resistance in adolescence with obesity

Widjaja¹,

Prihaningtyas²,

Hanindita³

et al. 2020

Mal J Nutr

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Introduction: Obesity in adolescents can cause metabolic syndrome. Insulin resistance increases the risk of metabolic syndrome, which then increases the risk of premature death. Studies about anthropometric measurements and adiponectin levels as early markers of insulin resistance in obese adolescents are still limited. Methods: A cross-sectional study was performed on 59 obese adolescents aged 13-16 years. Obesity was established on the basis of the Centers for Disease Control and Prevention (CDC) curve (2000). Insulin and blood glucose level measurements were carried out using an enzymatic kit. Adiponectin levels were assayed using enzyme-linked immunosorbent assay (ELISA). The relationships between variables were evaluated by correlation analysis using SPSS. Results: Statistical tests showed a positive correlation between waist circumference (r=0.421; p=0.001) and Homeostatic Model Assessment of Insulin Resistance (HOMA-IR) (r=0.396; p=0.002). Waist-to-hip ratio (WHR) and waist-to-height ratio (WHtR) had a weak positive correlation with insulin (r=0.343; p=0.008 and r=0.311; p=0.017) and HOMA-IR (r=0.306; p=0.018). There was a weak negative correlation between adiponectin and insulin in obese adolescents (r=-0.278; p=0.033). Conclusion: Anthropometric measurements (waist circumference, WHR and WHtR) and adiponectin can be used for early detection of insulin resistance and hyperinsulinemia in obese adolescents.

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Section: Discussionmentioning

confidence: 90%

Adiponectin, anthropometric measurements and insulin resistance in adolescence with obesity

Widjaja¹,

Prihaningtyas²,

Hanindita³

et al. 2020

Mal J Nutr

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“…In addition, one study found that children with p-DCD showed higher waist circumference, which indicates significantly higher levels of abdominal obesity [26]. A larger waist circumference can lead to a greater prevalence of health risks such as cardiovascular disease, insulin resistance, musculoskeletal disorders, some forms of cancer, and disability associated with increased weight [26][27][28][29]. Furthermore, only a few studies have examined the diverse aspects of health-related fitness among the same children with different levels of motor proficiency [30,31].…”

Section: Introductionmentioning

confidence: 99%

Children with Poor Motor Skills Have Lower Health-Related Fitness Compared to Typically Developing Children

2021

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Most of the current empirical evidence regarding the relationship between health-related fitness and level of motor performance is based on children from high-income countries. Yet, children from low-resource areas may have fewer opportunities to develop their fitness skills. The aim of the study was to determine if South African children from both low- and middle-income areas scoring below the 16th percentile on the Movement Assessment Battery for Children-2 (probable-Developmental Coordination Disorder (p-DCD)) have lower health-related fitness levels than typically developing (TD) children. We hypothesized that children with p-DCD would have lower overall health-related fitness than TD children. A sample of 146 participants aged 10 to 11 (10.05 years (SD = 0.41)) was collected from schools in the North West Province of South Africa, on the basis of their poverty classification. Children were tested for anaerobic capacity and strength using the Bruininks–Oseretsky test of motor proficiency second edition (BOT-2) and aerobic capacity using the Progressive Aerobic Cardiovascular Endurance Run (PACER). Body composition was evaluated using body mass index corrected for age and sex (BMI-z), body fat (BF), and waist circumference. The data was analyzed using Spearman correlations and chi-squared tests. Statistically significant differences (p < 0.05) were found between groups for running and agility, strength, and aerobic capacity. No significant differences were found between p-DCD and TD groups in terms of body mass (36.1 kg vs. 33.3 kg), waist circumference (62.2 cm vs. 59.8 cm), BMI-z (19.7 vs. 17.6), and fat percentage (20.2 vs. 18.1%). Overweight and obesity prevalence was 15% in those with low socio-economic status (SES) and 27% in high SES. In conclusion, children with p-DCD had lower muscular strength, aerobic capacity, and endurance than TD children. Although it has been reported that children with p-DCD have a higher risk for overweight/obesity than TD children, this is not (yet) the case in 10–11-year-old children living in rural areas in South Africa (North West Province).

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“…[2] Prevalence of childhood obesity in Indonesia is 19.7% in boy and 32.9% in a girl. [4] The presence of obesity is associated with significant adverse effects on health including metabolic, endocrinology, cardiovascular, gastrointestinal, pulmonary, neurologic, psychiatric, hematologic, and skeletal complications, and development of some types of malignancies. All of these unfavorable effects lead up to a shortened lifespan.…”

Section: Introductionmentioning

confidence: 99%

Lipid profile in obese children with and without insulin resistance

Tjiang

Sidiartha

2018

IJHS

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Obesity is increasing nowadays including in children and there is lack of information on the pathophysiology and their complication such as insulin resistance and dyslipidemia. This study was aimed to investigate the comparison of lipid profile in obese children with and without insulin resistance. A crossectional study held at an elementary school in Denpasar, Bali from August until September 2015. Independent t-test, Mann-Whitney test, and Multivariate analysis of covariance (MANCOVA) were performed to compare lipid profile in obese children with and without insulin resistance. A P-value less than 0.05 was considered statistically significant. A total of 50 obese children were analyzed. In this study, we found 12 subjects (24%) with insulin resistance. Nonsignificant associations were found between insulin resistance with total cholesterol, HDL, LDL, and ratio of HDL/LDL. A significant association was found between insulin resistance and triglyceride level after adjusted age and sex. There was a significant mean difference of triglycerides in the insulin resistance and noninsulin resistance groups in obese children.

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Waist circumference and insulin levels in obese children

Cited by 3 publications

References 2 publications

Adiponectin, anthropometric measurements and insulin resistance in adolescence with obesity

Adiponectin, anthropometric measurements and insulin resistance in adolescence with obesity

Children with Poor Motor Skills Have Lower Health-Related Fitness Compared to Typically Developing Children

Lipid profile in obese children with and without insulin resistance

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