Prevalencia de síndrome metabólico en una población de niños y adolescentes con obesidad

The Definition and Prevalence of Obesity and Metabolic Syndrome: Correlative Clinical Evaluation Based on Phenotypes

Increase in the prevalence of obesity has become a major worldwide health problem in adults as well as among children and adolescents. In the last four decades, studies have revealed that the significant increase in the prevalence of obesity has become a pandemic. Obesity is the result of complex interactions between biological, genetic, environmental, and behavioral factors. Indeed, almost all of the children suffering from obesity in early childhood face with being overweight or obese in adolescence. Different phenotypes have different risk factors in the clinical evaluation of obesity. Individuals suffering from metabolically unhealthy obesity (MUO) are at an excess risk of developing cardiovascular diseases (CVDs), several cancer types, and metabolic syndrome (MetS), whereas the metabolically healthy obesity (MHO) phenotype has a high risk of all-cause mortality and cardiometabolic events but not MetS. While most obese individuals have the MUO phenotype, the frequency of the MHO phenotype is at most 10-20%. Over time, approximately three-quarters of obese individuals transform from MHO to MUO. Total adiposity and truncal subcutaneous fat accumulation during adolescence are positively and independently associated with atherosclerosis in adulthood. Obesity, in general, causes a large reduction in life expectancy. However, the mortality rate of morbid obesity is greater among younger than older adults. Insulin resistance (IR) develops with the central accumulation of body fat. MHO patients are insulin-sensitive like healthy normal-weight individuals and have lower visceral fat content and cardiovascular consequences than do the majority of MUO patients. MetS includes clustering of abdominal obesity, dyslipidemia, hyperglycemia, and hypertension. The average incidence of MetS is 3%, with a 1.5-fold increase in the risk of death from all causes in these patients. If lifestyle modifications, dietary habits, and pharmacotherapy do not provide any benefit, then bariatric surgery is recommended to reduce weight and improve comorbid diseases. However, obesity treatment should be continuous in obese patients by monitoring the accompanying diseases and their consequences. In addition to sodium-glucose co-transporter-2 (SGLT2) inhibitors, the long-acting glucagon-like peptide-1 (GLP-1) receptor agonist reduces the mean body weight. However, caloric restriction provides more favorable improvement in body composition than does treatment with the GLP-1 receptor (GLP1R) agonist alone. Combination therapy with orlistat and phentermine are the US Food and Drug Administration (FDA)-approved anti-obesity drugs. Recombinant leptin and synthetic melanocortin-4-receptor agonists are used in rarely occurring, monogenic obesity, which is due to loss of function in the leptin-melanocortin pathway.

Disparities in the Prevalence of Childhood Obesity-Related Comorbidities: A Systematic Review

Background

Non-communicable diseases among children are serious consequences of childhood obesity. However, less is known about the disparities in childhood obesity comorbidities burden. This review describes the salient pattern of disparities in the prevalence of childhood obesity-related non-communicable diseases and relevant inequalities in both high- and low/medium-income countries.

Method

A systematic literature search was performed in MEDLINE, Embase, CINAHL, PsycInfo, Scopus, and Web of Science databases by two independent reviewers. Inclusion criteria were as follows: age 2–18 years; the prevalence or incidence of childhood obesity comorbidities reported; and studies published in English from January 2010 to date. No restrictions on the setting. The prevalence data were analyzed using range and median for subgroups based on the country's development status, gender, and geographical region.

Results

Our search identified 6,837 articles, out of which we examined 145 full-text articles and included 54 articles in the analysis. The median prevalence of childhood obesity-related hypertension was 35.6 vs. 12.7% among middle- and low-income countries compared with high-income countries; 37.7 vs. 32.9% among boys compared with girls; and 38.6, 25.3, and 20.1% in Asia, South America, and Europe, respectively. For metabolic syndrome, the median prevalence was 26.9 vs. 5.5% among middle- and low-income countries compared with high-income countries; 55.2 vs. 12.0% among boys compared with girls; and 40.3, 25.8, and 7.7% in South America, Asia, and Europe, respectively. The prevalence of childhood obesity-related non-alcoholic fatty liver disease was 47.5 vs. 23% among middle- and low-income countries compared with high-income countries; and 52.1, 39.7, and 23.0% in Asia, South America, and Europe, respectively. The median prevalence of dyslipidemia was 43.5 vs. 63% among middle- and low-income countries compared with high-income countries; 55.2 vs. 12.0% among boys compared to girls; and 73.7 and 49.2% in Australia and Europe, respectively.

Conclusion

There are disparities in the prevalence of childhood obesity-related hypertension, metabolic syndrome, and non-alcoholic fatty liver disease, with middle- and low-income countries, boys, and Asian region having higher prevalence. Implementing targeted interventions for childhood obesity comorbidities should consider socioeconomic disparities and strengthening of research surveillance methods for a better understanding of non-communicable disease burden in the pediatric population.

Systematic Review Registration

https://www.crd.york.ac.uk/PROSPERO, identifier: CRD42021288607.

Triglyceride regulate ACE2 level through MTHFD1

Obesity has been followed with interest as a risk factor for COVID-19, with triglycerides as one of four common criteria used to define obesity, which have been used to study the mechanism of obesity. In this study, we showed that angiotensin-converting enzyme-2 (ACE2) is widely expressed in the mouse body, including the kidney, spleen, brain, heart, lung, liver, and testis, and that ACE2 levels increased after a high-fat diet. The ACE2 levels were recorded at 0 days, 3 days, 7 days, and 14 days after a high-fat diet, and they increased at 14 days after high-fat diet initiation. In addition, triglyceride levels were also significantly increased at 14 days after high-fat diet initiation, but body weight was not changed. Furthermore, we examined the ACE2 levels in Calu3 cells (a lung cancer cell line) after triglyceride treatment, and the results indicated that ACE2 levels were increased at 25 μM and reached their peak at 200 μM. Finally, we found that the mRNA level of mthfd1 was significantly increased in the high-fat diet group. Given these findings, we hypothesize that triglycerides can regulate the expression of ACE2 and Mthfd1.

Prevalence of Metabolic Syndrome among Children and Adolescents in High-Income Countries: A Systematic Review and Meta-Analysis of Observational Studies

Introduction. Metabolic syndrome (MetS) is an assemblage of interconnected cardiovascular risk factors that are prevalent among children and adolescents in high-income countries (HICs). Despite the presence of several studies on the issue, the study findings are incongruent due to the absence of a gold standard diagnostic method of MetS in children. Thus, the findings of the original studies are inconclusive for policy makers and other stakeholders. This systematic review and meta-analysis is aimed at giving conclusive evidence about MetS among children and adolescents in HICs. Methods. We conducted searches using electronic databases (PubMed, Scopus, Web of Science, CINAHL (EBSCOhost), EMBASE (Elsevier), and Medline (EBSCOhost)) and other sources (Google Scholar and Google) up to September 2020. Observational studies reporting the prevalence of MetS were eligible in this study. The pooled estimates were computed in fixed and random effect models using six diagnostic methods (IDF, ATP III, de Ferranti et al., WHO, Weiss et al., and Cruz and Goran). Publication bias was verified using funnel plots and Egger’s regression tests. Subgroup and sensitivity analysis were performed in case of higher heterogeneities among the included studies. Result. In this study, 77 studies with a total population of 125,445 children and adolescents were used in the final analysis. Metabolic syndrome among the overweight and obese population was computed from 28 studies with the pooled prevalence of 25.25%, 24.47%, 39.41%, 29.52%, and 33.36% in IDF, ATP III, de Ferranti et al., WHO, and Weiss et al. criteria, respectively. Likewise, 49 studies were eligible to compute the pooled prevalence of MetS in the general population of children and adolescents. Hence, MetS was found in 3.70% (IDF), 5.40% (ATP III), 14.78% (de Ferranti et al.), 3.90% (WHO), and, 4.66% (Cruz and Goran) of study participants. Regarding the components of MetS, abdominal obesity in the overweight and obese population, and low HDL-C in the general population were the most common components. Besides, the prevalence of Mets among males was higher than females. Conclusion. This study demonstrates that MetS among children and adolescents is undoubtedly high in HICs. The prevalence of MetS is higher among males than females. Community-based social and behavioral change communications need to be designed to promote healthy eating behaviors and physical activities. Prospective cohort studies could also help to explore all possible risk factors of MetS and to design specific interventions accordingly.

High prevalence of undiagnosed comorbidities among adolescents with obesity

Metabolic diseases are increasing among adolescents with obesity. Although the reported prevalence of metabolic syndrome is approximately 30% worldwide, its prevalence is largely unknown among New Zealand adolescents. Therefore, we assessed the health of adolescents with obesity (BMI ≥ 30 kg/m2) enrolled in a randomised clinical trial (Gut Bugs Trial), to identify the prevalence of undiagnosed comorbidities. Assessments included anthropometry, 24-h ambulatory blood pressure monitoring, and insulin sensitivity. We report on baseline data (pre-randomisation) on 87 participants (14-18 years; 59% females), with mean BMI 36.9 ± 5.3 kg/m2 (BMI SDS 3.33 ± 0.79). Approximately 40% of participants had undiagnosed metabolic syndrome, which was twice as common among males. Half (53%) had pre-diabetes and 92% a reduction in insulin sensitivity. Moreover, 31% had pre-hypertension/hypertension, 69% dyslipidaemia, and 25% abnormal liver function. Participants with class III obesity had a greater risk of metabolic syndrome than those with classes I/II [relative risk 1.99 (95% CI 1.19, 3.34)]. Risks for pre-hypertension/hypertension and inflammation were also greater among those with class III obesity. We identified a high prevalence of undiagnosed comorbidities among adolescents with obesity in New Zealand. As adolescent obesity tracks into adulthood, early interventions are needed to prevent progression to overt cardiometabolic diseases.

sRANKL and its correlation with metabolic syndrome parameters in children

BACKGROUND

Activating receptor ligand for nuclear factor (RANKL) has been identified as a ligand attached to the cell membrane of osteoblasts and odontoclasts.

AIM

To determine a possible association of sRANKL in saliva and serum with the parameters of metabolic syndrome (MS) in paediatric population aged 8-12 years.

DESIGN

This was a clinical, analytical and comparative study. Students between 6 and 12 years with good oral hygiene were included. Anthropometry, clinical analysis, dentobacterial plaque registration were registered as well as sRANKL in total saliva and serum through the ELISA technique.

RESULTS

A total of 43 children were enrolled, with a mean age of 9.7 (±0.8 years). Contrasting the groups by the presence or absence of the waist circumference above the normal limit, the difference in serum sRANKL concentration was statistically significant (P ≤ 0.05). A negative statistical significance was found in the correlation between serum sRANKL and HDLc (r²  = -0.310, P = 0.046). Saliva sRANKL did not show statistical difference between neither gender nor body mass index and was not correlated with any parameter of the MS.

CONCLUSIONS

A good oral hygiene seems to avoid the effects of MS on the oral cavity.

[Metabolic syndrome in children aged 6 to 12 years with obesity in public schools of seven municipalities in the State of Mexico]

OBJECTIVE

To estimate the prevalence of Metabolic Syndrome (MS), its components and its association with obesity and cardiovascular risk in school age children.

MATERIALS AND METHODS

A cross-sectional study of 1,017 children from 6 to 12 years of age. Anthropometric information, blood pressure, glucose, insulin, cholesterol, HDLc, LDLc and triglycerides were collected. The presence of MS and its components were determined by criteria of Cook et. al. (2003), modified for children and adolescents. In the analysis, the children were grouped by aged group of 6 to 9 and 10 to 12 years. The association between MS, obesity and cardiovascular risk was estimated using Student's t-test and Mann-Whitney U test, Chi-square test and logistic regression.

RESULTS

The MS was present with 54.6% in obese children. Obesity was the characteristic of greater association to suffer from MS with an OR=8.62 p<0.001.

CONCLUSIONS

MS is high among children with obesity, and is mostly associated with insulin resistance and atherogenic risk.

The Definition and Prevalence of Obesity and Metabolic Syndrome

Increase in prevalence of obesity has become a worldwide major health problem in adults, as well as among children and adolescents. Furthermore, total adiposity and truncal subcutaneous fat accumulation during adolescence are positively and independently associated with atherosclerosis at adult ages. Centrally accumulation of body fat is associated with insulin resistance, whereas distribution of body fat in a peripheral pattern is metabolically less important. Obesity is associated with a large decrease in life expectancy. The effect of extreme obesity on mortality is greater among younger than older adults. In this respect, obesity is also associated with increased risk of several cancer types. However, up to 30% of obese patients are metabolically healthy with insulin sensitivity similar to healthy normal weight individuals, lower visceral fat content, and lower intima media thickness of the carotid artery than the majority of metabolically "unhealthy" obese patients.Abdominal obesity is the most frequently observed component of metabolic syndrome. The metabolic syndrome; clustering of abdominal obesity, dyslipidemia, hyperglycemia and hypertension, is a major public health challenge. The average prevalence of metabolic syndrome is 31%, and is associated with a two-fold increase in the risk of coronary heart disease, cerebrovascular disease, and a 1.5-fold increase in the risk of all-cause mortality.

Indicators of the metabolic syndrome in obese adolescents

INTRODUCTION

To assess the prevalence of metabolic risk indicators for the metabolic syndrome (MS) in a sample of obese Egyptian adolescents and to compare anthropometric and biochemical parameters in subjects with one or two parameters of the MS with those who meet MS criteria.

MATERIAL AND METHODS

A descriptive, cross-sectional study was conducted on 300 obese adolescents, with a mean age of 15.45 ±2.54 years. Variables examined included body mass index (BMI), waist circumference (WC), waist to hip ratio (WHR), systolic and diastolic blood pressure (BP), fasting blood glucose, cholesterol, triglycerides (TG), high-density lipoprotein (HDL), low-density lipoproteins (LDL), insulin and insulin resistance (IR) measured by Homeostasis Model Assessment-Insulin Resistance (HOMA-IR). Receiver operating characteristic (ROC) curve analysis was used to determine the predictive powers of anthropometric parameters associated with increased risk for the MS.

RESULTS

The overall prevalence of the MS was 20%. Individuals meeting 3 or more MS criteria had significantly higher levels of BP, TG, glucose, insulin and HOMA-R and low HDL levels compared with those who had 1 or 2 MS criteria. Area under the curve (AUC) for identifying the MS risk factors was the highest for WHR, followed by WC and BMI in both genders (p < 0.001).

CONCLUSIONS

The most prevalent metabolic risk factors that compose the MS were arterial hypertension, low HDL and hypertriglyceridemia; BMI tended to be the weakest index for identifying MS risk factors, while WHR was the best predictive index in both genders.

Metabolic syndrome among 13 year old adolescents: prevalence and risk factors

Background

Obesity and metabolic syndrome is prevalent among Malaysian adolescents and has been associated with certain behavioural factors such as duration of sleep, screen time and physical activity. The aim of the study is to report the prevalence of overweight/obesity, metabolic syndrome and its risk factors among adolescents.

Methods

A multi-staged cluster sampling method was used to select participants from urban and rural schools in Selangor, Perak and Wilayah Persekutuan Kuala Lumpur. Participants underwent anthropometric measurement and physical examination including blood pressure measurement. Blood samples were taken for fasting glucose and lipids and participants answered a self-administered questionnaire. Overweight and obesity was defined using the extrapolated adult body mass index (BMI) cut-offs of >25 kg/m² and >30 kg/m², according to the International Obesity Task Force (IOTF) criteria. Metabolic syndrome was defined based on International Diabetes Federation (IDF) 2007 criteria.

Results

Data were collected from 1361 participants. After excluding incomplete data and missing values for the variables, we analysed a sample of 1014 participants. Prevalence of overweight and obesity in this population was 25.4% (N = 258). The prevalence of metabolic syndrome was 2.6% in the population and 10% among the overweight and obese adolescents. Participants who slept between 7 and 9 hours a day has a lower risk of developing metabolic syndrome OR 0.38(0.15-0.94).

Conclusion

Our results provide the prevalence of metabolic syndrome in Malaysian adolescents. Adequate sleep between 7 and 9 hours per day reduces the risk of developing metabolic syndrome.

Nutritional Status Associated with Metabolic Syndrome in Middle-School Children in the City of Montes Claros - MG, Brazil

The aim of this study was to investigate the association between nutritional status and prevalence of metabolic syndrome (MS) in middle-school students in the city of Montes Claros - MG. The sample consisted of 382 students, aged 10-16 years. Nutritional status was evaluated using the Body Mass Index (BMI). Metabolic syndrome (MS) was defined as the presence of two or more criteria in accordance with definition of the International Diabetes Federation. The overall prevalence of MS was 7.9%. 9.7% of students with MS were overweight and 72.4% were obese. Therefore, it can be inferred that carrying excess weight considerably increases the chances for a child to develop MS, and concomitantly increases the child's risk for developing cardiovascular disease.

Metabolic syndrome is strictly associated with parental obesity beginning from childhood

OBJECTIVE

We aimed to identify potential correlates or risk factors for metabolic syndrome (MetS) in a cohort of schoolchildren. We quantified the prevalence of MetS, analysed the clustering of MetS components and described the distribution of metabolic parameters not included in MetS definition.

DESIGN

Population-based, cross-sectional study.

PATIENTS AND MEASUREMENTS

A total of 489 children (6·7-13 years) representing the 92·6% of the whole school population between the 1st year of primary school and the 2nd year of junior high school living in a centre of southern Italy. Weight, height, waist circumference, blood pressure (BP), laboratory parameters (indexes of glucose metabolism, lipid profile and uric acid), anamnestic and parental information, lifestyle and dietary habits were collected. Dietary habits data were available only for 353 children.

RESULTS

MetS prevalence was 9·8%. Of 48 children with MetS, 38 (79·2%) were simultaneously positive for abdominal obesity and elevated BP. In children with MetS, the prevalence of insulin resistance, high insulin, high non-HDL(high-density lipoprotein) cholesterol and high uric acid was higher than in children without MetS. In 6·7-10-year-old children, only the presence of parental history of obesity [odds ratio (OR) = 4·3, 95% CI = 1·8-10·2] was higher in those with MetS than in those without. In 10·1-13-year-old children, the presence of parental history of obesity, the habits of no walking/cycling to school, long screen time and no breakfast consumption were higher in children with MetS than in those without, but only parental history of obesity (adjusted OR = 3·8, 95% CI = 1·7-8·4) remained significantly related to MetS in multivariate logistic regression.

CONCLUSIONS

Parental obesity was strictly associated with MetS in all children and should be considered in clinical practice. In older children, wrong lifestyle and dietary habits were related to parental obesity.

Variations in the prevalence of metabolic syndrome in adolescents according to different criteria used for diagnosis: which definition should be chosen for this age group?

BACKGROUND

Despite the increasing prevalence of metabolic syndrome in adolescents, there is no consensus for its diagnosis.

METHODS

A cross-sectional study was conducted to compare the prevalence of metabolic syndrome in adolescents by different definitions, evaluate their concordance, and suggest which definition to apply in this population. A total of 851 adolescents between 10 and 18 years of age were evaluated. Anthropometric (weight, height, waist circumference), biochemical (glucose, lipid profile), and blood pressure data were taken. The prevalence of metabolic syndrome was determined by the definitions of the International Diabetes Federation (IDF) and four published studies by Cook et al., de Ferranti et al., Agudelo et al., and Ford et al. Concordance was determined according to the kappa index.

RESULTS

The prevalence of metabolic syndrome was 0.9%, 3.8%, 4.1%, 10.5%, and 11.4%, according to the IDF, Cook et al., Ford et al., Agudelo et al., and de Ferranti et al. definitions, respectively. The most prevalent components were hypertriglyceridemia and low high-density lipoprotein cholesterol, whereas the least prevalent components were abdominal obesity and hyperglycemia. The highest concordance was found between the definitions by Cook et al. and Ford et al. (kappa=0.92), whereas the greatest discordance was between the de Ferranti et al. and IDF definitions (kappa=0.14).

CONCLUSIONS

Metabolic syndrome and its components were conditions present in the adolescents of this study. In this population, with a high prevalence of dyslipidemia and a lower prevalence of abdominal obesity and hyperglycemia, the recommendation to diagnose metabolic syndrome would be that used by Ford et al.

Adiponectin in eutrophic and obese children as a biomarker to predict metabolic syndrome and each of its components

BACKGROUND

Obesity is associated with the rise of noncommunicable diseases worldwide. The pathophysiology behind this disease involves the increase of adipose tissue, being inversely related to adiponectin, but directly related to insulin resistance and metabolic syndrome (MetS). Therefore, this study aimed to determine the relationship between adiponectin levels with each component of MetS in eutrophic and obese Mexican children.

METHODS

A cross sectional study was conducted in 190 school-age children classified as obese and 196 classified as eutrophic. Adiponectin, glucose, insulin, high density lipoprotein cholesterol (HDL-C) and triglycerides were determined from a fasting blood sample. Height, weight, waist circumference, systolic and diastolic blood pressures (BP) were measured; MetS was evaluated with the IDF definition. The study groups were divided according to tertiles of adiponectin, using the higher concentration as a reference. Linear regression analysis was used to assess the association between adiponectin and components of the MetS. Finally, stepwise forward multiple logistic regression analysis controlling for age, gender, basal HOMA-IR values and BMI was performed to determine the odds ratio of developing MetS according to adiponectin tertiles.

RESULTS

Anthropometric and metabolic measurements were statistically different between eutrophic and obese children with and without MetS (P <0.001). The prevalence of MetS in obese populations was 13%. Adiponectin concentrations were 15.5 ± 6.1, 12.0 ± 4.8, 12.4 ± 4.9 and 9.4 ± 2.8 μg/mL for eutrophic and obese subjects, obese without MetS, and obese with MetS, respectively (P <0.001). Obese children with low values of adiponectin exhibited a higher frequency of MetS components: abdominal obesity, 49%; high systolic BP, 3%; high diastolic BP, 2%; impaired fasting glucose, 17%; hypertriglyceridemia, 31%; and low HDL-C values, 42%. Adjusted odds ratio of presenting MetS according to adiponectin categories was 10.9 (95% CI 2.05; 48.16) when the first tertile was compared with the third.

CONCLUSION

In this sample of eutrophic and obese Mexican children we found that adiponectin concentrations and MetS components have an inversely proportional relationship, which supports the idea that this hormone could be a biomarker for identifying individuals with risk of developing MetS.

Distribution of obesity-related metabolic markers among 5-15 year old children from an urban area of Sri Lanka

BACKGROUND

Obesity-associated metabolic consequences are commonly seen among young South Asians.

OBJECTIVE

To assess the nutritional status, prevalence of metabolic derangements and to identify the validity of different obesity diagnostic criteria in the detection of metabolic derangements among 5-15 year old school children in the Colombo district of Sri Lanka. MATERIALS AND PROCEDURES: After a 12-hour overnight fast, blood was drawn for glucose, lipid profile and alanine amino transferase (ALT) enzyme. Oral glucose tolerance test (OGTT) was done with blood taken for random blood sugar 2 hours after glucose load. Height, weight, waist circumference (WC) and blood pressure were measured.

RESULTS

Nine hundred and twenty children were studied (boys, n = 547). Thirty-two (3.5%) were obese according to IOTF classification. Five (0.5%) and 57 (6.2%) children had systolic and diastolic hypertension. Twelve (1.3%) and three (0.3%) had impaired fasting glucose and 2-hour OGTT, respectively. One hundred and thirty-nine (15.1%) had hypercholesterolemia and 36 (3.9%) hypertriglyceridaemia. Two hundred and fifteen (23.3%) had low HDL. Fifteen (1.6%) had metabolic syndrome according to IDF definition. Two hundred and eighty-three (30.7%) had one metabolic derangement; 95 (10.3%) had two metabolic derangements; and 16 (1.7%) had three or more metabolic derangements. Sri Lankan BMI and WC obesity cut-offs had a higher sensitivity in detecting metabolic abnormalities than international cut-offs.

CONCLUSION

Metabolic derangements are prevalent in children who were detected to be non-obese by anthropometric measures, and clinicians should actively look and correct them. New research is needed to study the long-term effects on health.