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Obesity and dyslipidemia – An urgent matter in youth from the general population and in type 1 diabetic patients

The prevalence of obesity among children and adolescents has significantly risen in the past decades. An analysis from the Centers for Disease Control and Prevention (CDC) reported that 16.5% of children and teenagers are overweight (body mass index or BMI in the 85th-94th percentiles) and 21.4% are obese (BMI at or above the 95th percentile) (1Hurt L, Pinto CD, Watson J, Grant M, Gielner J; Center for Disease Control and Prevention (CDC). Diagnosis and screening for obesity-related conditions among children and teens receiving Medicaid--Maryland, 2005-2010. MMWR Morb Mortal Wkly Rep. 2014;63(14):305-8.). Obesity in childhood has been associated with comorbidities such as hypertension, dyslipidemia and type 2 diabetes. Shashaj and cols. identified that a significant proportion of children has cardiometabolic risk factors at the onset of overweight or obesity (2Shashaj B, Bedogni G, Graziani MP, Tozzi AE, DiCorpo ML, Morano D, et al. Origin of cardiovascular risk in overweight preschool children: a cohort study of cardiometabolic risk factors at the onset of obesity. JAMA Pediatr. 2014;168(10):917-24.). Therefore, it is important to detect overweight as soon possible in children, in order to prevent its consequences. Criteria to identify the presence of excess weight in children have to be studied and improved to enable prompt diagnosis. The current CDC charts have been elaborated in 2000 and are widely used to classify children and adolescents according to their BMI percentile. In 2007, however, the WHO suggested that these charts should be reviewed and that new cutoffs for obesity and overweight would have to be established.

In this issue of Archives of Endocrinology and Metabolism, Kuba and cols. (3Kuba VM, Leone C, Damiani D. 2000 CDC or 2007 WHO – What is the most sensitive anthropometric reference for determination of overweight and cardio-metabolic risk in children aged 6–10 years? Arch Endocrinol Metab. 2015;59(3):220-5.) compared the CDC and WHO BMI z scores (4Ogden CL, Kuczmarski RJ, Flegal KM, Mei Z, Guo S, Wei R, et al. Centers for Disease Control and Prevention 2000 growth charts for the United States: improvements to the 1977 National Center for Health Statistics version. Pediatrics. 2002;109:45-60.,5de Onis M, Onyango AW, Borghi E, Garza C, Yang H, for the WHO Multicentre Growth Reference Study Group. Comparison of the World Health Organization child growth standards and National Center for Health Statistics/WHO international growth references: implications for child health programmes. Public Health Nutr. 2006;9:942-7.) for screening of overweight and cardiometabolic risk in 175 subjects between 6 and 10 years of age. The 2000 CDC and 2007 WHO reference values were concordant in classifying 161 children (92%). However, the reference values showed a discrepancy in the classification in 14 children (8%). Eleven children would be rated as overweight by the CDC and as obese by the WHO. These children were more prone to have higher blood pressure and HOMA-IR than children classified as overweight in the two classifications. Therefore, the authors suggest that the 2007 WHO reference was more sensitive in screening for overweight and obesity and their cardiometabolic associated conditions in this population. Other authors have studied the discrepancies between the two criteria. In general, the WHO has been reported to be more sensitive in pre-pubertal young children (6Oliveira GJ, Barbiero SM, Cesa CC, Pellanda LC. Comparison of NCHS, CDC, and WHO curves in children with cardiovascular risk. Rev Assoc Med Bras. 2013;59(4):375-80.,7Maalouf-Manasseh Z, Metallinos-Katsaras E, Dewey KG. Obesity in preschool children is more prevalent and identified at a younger age when WHO growth charts are used compared with CDC charts. J Nutr. 2011;141(6):1154-8.). In older children and teenagers the differences tend to disappear in different populations (8Nascimento H, Mendonça D, Oliveira P, Alves AI, Medeiros AF, Pereira PR, et al. Comparison between CDC and WHO BMI z-score and their relation with metabolic risk markers in Northern Portuguese obese adolescents. Diabetol Metab Syndr. 2015;7:32.,9Shields M, Tremblay MS. Canadian childhood obesity estimates based on WHO, IOTF and CDC cut-points. Int J Pediatr Obes. 2010;5(3):265-73.). Exceptions to this rule have been identified. In a retrospective cohort study with 140.265 school age students in Chile, CDC tended to overestimate the normal and underestimate the overweight, while obesity was not significant differences (1010 Vásquez F, Cerda Rioseco R, Andrade M, Morales G, Gálvez P, Orellana Y, et al. [Differences in magnitude of nutritional status in Chilean school children according to CDC and WHO 2005-2008 reference]. Nutr Hosp. 2013;28(1):217-22.). Therefore it is possible that different criteria should be suitable for different populations, considering their predominant body composition, ethnicity and also their age.

The prevalence of obesity and dyslipidemia has been a concern not only in children and adolescents from the general population but also specifically in individuals with type 1 diabetes (T1D). The development of insulin analogs as well as the improvement in the knowledge about carbohydrate counting and insulin therapy has lead patients with T1D to be nearly as prone to obesity as the normal population when excessive calories are ingested, as long as they have reasonable glycemic control. Recent data show that the prevalence of overweight/obesity in children and adolescents with type 1 diabetes in USA is 31% (1111 Baskaran C, Volkening LK, Diaz M, Laffel LM. A decade of temporal trends in overweight/obesity in youth with type 1 diabetes after the Diabetes Control and Complications Trial. Pediatr Diabetes. 2015;16(4):263-70.). A similar trend was observed in the Brazilian population according to the Brazilian Type 1 Diabetes Study Group (Brazdiab T1DSG) (1212 Gomes MB, Cobas RA, Matheus AS, Tannus LR, Negrato CA, Rodacki M, et al. Regional differences in clinical care among patients with type 1 diabetes in Brazil: Brazilian Type 1 Diabetes Study Group. Diabetol Metab Syndr. 2012;4(1):44.), which is a multicenter study that evaluated the care and the clinical condition of patients with T1D in the whole Brazilian population sponsored by the Brazilian Diabetes Association. Obesity might interfere in the development of chronic micro and macrovascular complications in patients with type 1 diabetes (1313 Price SA, Gorelik A, Fourlanos S, Colman PG, Wentworth JM. Obesity is associated with retinopathy and macrovascular disease in type 1 diabetes. Obes Res Clin Pract. 2014;8(2):e178-82.,1414 Franchini S, Savino A, Marcovecchio ML, Tumini S, Chiarelli F, Mohn A. The effect of obesity and type 1 diabetes on renal function in children and adolescents. Pediatr Diabetes. 2014 Aug 11.). In another paper featured in this issue of Archives of Endocrinology and Metabolism, Homma and cols. found that 15.1% of children with T1D are overweight or obese (1515 Homma TK, Endo CM, Saruhashi T, Mori AP, Noronha RM, Monte O, et al. Dyslipidemia in young patients with type 1 diabetes mellitus. Arch Endocrinol Metab. 2015;59(3):215-9.), which is lower than previously reported nationwide in the BrazDiab (1616 Gomes MB, de Mattos Matheus AS, Calliari LE, Luescher JL, Manna TD, Savoldelli RD, et al. Economic status and clinical care in young type 1 diabetes patients: a nationwide multicenter study in Brazil. Acta Diabetol. 2013;50(5):743-52.). They also verified that dyslipidemia is common in this population, reaching 72.5% of their study group. Overweight and obesity were associated with dyslipidemia and total hypercholesterolemia was the most common abnormality. This proportion was higher than that found in other studies (1616 Gomes MB, de Mattos Matheus AS, Calliari LE, Luescher JL, Manna TD, Savoldelli RD, et al. Economic status and clinical care in young type 1 diabetes patients: a nationwide multicenter study in Brazil. Acta Diabetol. 2013;50(5):743-52.

17 Kershnar AK, Daniels SR, Imperatore G, Palla SL, Petitti DB, Pettitt DJ, et al. Lipid abnormalities are prevalent in youth with type 1 and type 2 diabetes: the SEARCH for Diabetes in Youth Study. J Pediatr. 2006;149(3):314-9.
-1818 Polak M, Souchon PF, Benali K, Tubiana-Rufi N, Czernichow P. Type 1 diabetic children have abnormal lipid profiles during pubertal years. Pediatr Diabetes. 2000;1(2):74-81.), even in our population (1616 Gomes MB, de Mattos Matheus AS, Calliari LE, Luescher JL, Manna TD, Savoldelli RD, et al. Economic status and clinical care in young type 1 diabetes patients: a nationwide multicenter study in Brazil. Acta Diabetol. 2013;50(5):743-52.). It is probable that the higher rates of dyslipidemia in this study are explained by the higher HbA1c levels presented by this sample, although information about TSH levels and proportion of statin users are lacking in the paper and would be important to interpret these data. Guy and cols. identified that young patients with T1D and optimal HbA1c had lipid concentrations that were similar (total cholesterol, LDL cholesterol, and LDL size) or less atherogenic (HDL cholesterol, non-HDL cholesterol, triglyceride, and triglyceride-to-HDL cholesterol ratio) than that observed in nondiabetic individuals with a similar age. However, in those with poor glycemic control, dyslipidemia was more common and a pro-atherogenic profile predominated (1919 Guy J, Ogden L, Wadwa RP, Hamman RF, Mayer-Davis EJ, Liese AD, et al. Lipid and lipoprotein profiles in youth with and without type 1 diabetes. Diabetes Care. 2009;32:416-20.). It has been discussed if glycemic control can influence the risk of macrovascular disease in patients with T1D. Data from the DCCT/EDIC suggests that intensive diabetes therapy reduces the risk of cardiovascular disease in patients with T1D (2020 Nathan DM, Cleary PA, Backlund JY, Genuth SM, Lachin JM, Orchard TJ, et al.; Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications (DCCT/EDIC) Study Research Group. Intensive diabetes treatment and cardiovascular disease in patients with type 1 diabetes. N Engl J Med. 2005;353(25):2643-53.). This might be partially explained by the differences in the lipid levels and lipid profiles in those with HbA1c within the target levels and others. Curiously, our group has previously identified that appropriate glycemic control is frequently associated with particularly low triglyceride levels (< 50 mg/dL) in patients with T1D (2121 Alcantara LM, Silveira NE, Dantas JR, Araujo PB, de Oliveira MM, Milech A, et al. Low triglyceride levels are associated with a better metabolic control in patients with type 1 diabetes. Diabetol Metab Syndr. 2011;3:22.), although it is yet to be determined whether this characteristic contributes to the achievement of a good glycemic control, is caused by the same favorable factors or is a feature of patients with T1D that are not under the influence of the adverse effect of poor glycemic control in their lipid levels. Low triglyceride levels have been linked to the development of autoimmunity in general (2222 Iannello S, Cavaleri A, Milazzo P, Cantarella S, Belfiore F. Low fasting serum triglyceride level as a precocious marker of autoimmune disorders. MedGenMed. 2003;5(3):20.) and it is therefore possible that they have a potential role in T1D pathogenesis, which would be evident only in those with normal glycemic control.

Homma and cols. also found that dyslipidemia was more common in adolescents than younger children (1515 Homma TK, Endo CM, Saruhashi T, Mori AP, Noronha RM, Monte O, et al. Dyslipidemia in young patients with type 1 diabetes mellitus. Arch Endocrinol Metab. 2015;59(3):215-9.), what would be expected based on previous studies (1717 Kershnar AK, Daniels SR, Imperatore G, Palla SL, Petitti DB, Pettitt DJ, et al. Lipid abnormalities are prevalent in youth with type 1 and type 2 diabetes: the SEARCH for Diabetes in Youth Study. J Pediatr. 2006;149(3):314-9.,1818 Polak M, Souchon PF, Benali K, Tubiana-Rufi N, Czernichow P. Type 1 diabetic children have abnormal lipid profiles during pubertal years. Pediatr Diabetes. 2000;1(2):74-81.). Females were particularly affected. As the authors did not find any association between dyslipidemia and metabolic control in females, they suggest that female gender can be, itself, a risk factor for dyslipidemia in young patients with T1D. The loss of gender protection effect for atherosclerosis diseases in women has been recognized in people with diabetes (2323  Liao Y, Cooper RS, Ghali JK, Lansky D, Cao G, Lee J. Sex differences in the impact of coexistent diabetes on survival in patients with coronary heart disease. Diabetes Care. 1993;16(5):708-13.). However, most patients in this study had poor glycemic control and mean HbA1c levels were particularly high in adolescents. Pérez and cols. identified that adult women with T1D, but not men, had higher total and LDL cholesterol concentrations than non-diabetics when glycemic control was inadequate. In those with a good glycemic control the prevalence of dyslipidemia did not differ from that observed in nondiabetic women. Interestingly, hypercholesterolemia was less frequent in diabetic men that have good glycemic control than in nondiabetic men. The inclusion of a larger number of patients with HbA1c levels within the recommended target would be important in the paper by Homma and cols. to clarify if female gender itself, independently of the level of glycemic control, would adversely affect the lipid levels in adolescents with T1D (2424 Pérez A, Wägner AM, Carreras G, Giménez G, Sánchez-Quesada JL, Rigla M, et al. Prevalence and phenotypic distribution of dyslipidemia in type 1 diabetes mellitus: effect of glycemic control. Arch Intern Med. 2000;160(18):2756-62.).

To conclude, obesity and overweight are a major concern in children and adolescents in general population and might have serious consequences through the increase in the cardiometabolic risk factors. T1D treatment has significantly improved in the last decades. Although metabolic control is not ideal in the majority of patients with T1D worldwide (1212 Gomes MB, Cobas RA, Matheus AS, Tannus LR, Negrato CA, Rodacki M, et al. Regional differences in clinical care among patients with type 1 diabetes in Brazil: Brazilian Type 1 Diabetes Study Group. Diabetol Metab Syndr. 2012;4(1):44.,2525 Paris CA, Imperatore G, Klingensmith G, Petitti D, Rodriguez B, Anderson AM, et al. Predictors of insulin regimens and impact on outcomes in youth with type 1 diabetes: the SEARCH for Diabetes in Youth study. J Pediatr. 2009;155(2):183-9.e1.), an evident catabolic state is not generally observed anymore. Therefore, this population is nearly as prone to develop overweight and obesity as the general population, which might influence their risk of hypertension, dyslipidemia, micro and macrovascular chronic complications. The burden might be especially prominent in females. Therefore, strategies to reduce body weight through healthy diet and exercise should be emphasized in patients with T1D, who are particularly at risk of developing adverse consequences of overweight or obesity and an unhealthy lifestyle.

REFERENCES

  • 1
    Hurt L, Pinto CD, Watson J, Grant M, Gielner J; Center for Disease Control and Prevention (CDC). Diagnosis and screening for obesity-related conditions among children and teens receiving Medicaid--Maryland, 2005-2010. MMWR Morb Mortal Wkly Rep. 2014;63(14):305-8.
  • 2
    Shashaj B, Bedogni G, Graziani MP, Tozzi AE, DiCorpo ML, Morano D, et al. Origin of cardiovascular risk in overweight preschool children: a cohort study of cardiometabolic risk factors at the onset of obesity. JAMA Pediatr. 2014;168(10):917-24.
  • 3
    Kuba VM, Leone C, Damiani D. 2000 CDC or 2007 WHO – What is the most sensitive anthropometric reference for determination of overweight and cardio-metabolic risk in children aged 6–10 years? Arch Endocrinol Metab. 2015;59(3):220-5.
  • 4
    Ogden CL, Kuczmarski RJ, Flegal KM, Mei Z, Guo S, Wei R, et al. Centers for Disease Control and Prevention 2000 growth charts for the United States: improvements to the 1977 National Center for Health Statistics version. Pediatrics. 2002;109:45-60.
  • 5
    de Onis M, Onyango AW, Borghi E, Garza C, Yang H, for the WHO Multicentre Growth Reference Study Group. Comparison of the World Health Organization child growth standards and National Center for Health Statistics/WHO international growth references: implications for child health programmes. Public Health Nutr. 2006;9:942-7.
  • 6
    Oliveira GJ, Barbiero SM, Cesa CC, Pellanda LC. Comparison of NCHS, CDC, and WHO curves in children with cardiovascular risk. Rev Assoc Med Bras. 2013;59(4):375-80.
  • 7
    Maalouf-Manasseh Z, Metallinos-Katsaras E, Dewey KG. Obesity in preschool children is more prevalent and identified at a younger age when WHO growth charts are used compared with CDC charts. J Nutr. 2011;141(6):1154-8.
  • 8
    Nascimento H, Mendonça D, Oliveira P, Alves AI, Medeiros AF, Pereira PR, et al. Comparison between CDC and WHO BMI z-score and their relation with metabolic risk markers in Northern Portuguese obese adolescents. Diabetol Metab Syndr. 2015;7:32.
  • 9
    Shields M, Tremblay MS. Canadian childhood obesity estimates based on WHO, IOTF and CDC cut-points. Int J Pediatr Obes. 2010;5(3):265-73.
  • 10
    Vásquez F, Cerda Rioseco R, Andrade M, Morales G, Gálvez P, Orellana Y, et al. [Differences in magnitude of nutritional status in Chilean school children according to CDC and WHO 2005-2008 reference]. Nutr Hosp. 2013;28(1):217-22.
  • 11
    Baskaran C, Volkening LK, Diaz M, Laffel LM. A decade of temporal trends in overweight/obesity in youth with type 1 diabetes after the Diabetes Control and Complications Trial. Pediatr Diabetes. 2015;16(4):263-70.
  • 12
    Gomes MB, Cobas RA, Matheus AS, Tannus LR, Negrato CA, Rodacki M, et al. Regional differences in clinical care among patients with type 1 diabetes in Brazil: Brazilian Type 1 Diabetes Study Group. Diabetol Metab Syndr. 2012;4(1):44.
  • 13
    Price SA, Gorelik A, Fourlanos S, Colman PG, Wentworth JM. Obesity is associated with retinopathy and macrovascular disease in type 1 diabetes. Obes Res Clin Pract. 2014;8(2):e178-82.
  • 14
    Franchini S, Savino A, Marcovecchio ML, Tumini S, Chiarelli F, Mohn A. The effect of obesity and type 1 diabetes on renal function in children and adolescents. Pediatr Diabetes. 2014 Aug 11.
  • 15
    Homma TK, Endo CM, Saruhashi T, Mori AP, Noronha RM, Monte O, et al. Dyslipidemia in young patients with type 1 diabetes mellitus. Arch Endocrinol Metab. 2015;59(3):215-9.
  • 16
    Gomes MB, de Mattos Matheus AS, Calliari LE, Luescher JL, Manna TD, Savoldelli RD, et al. Economic status and clinical care in young type 1 diabetes patients: a nationwide multicenter study in Brazil. Acta Diabetol. 2013;50(5):743-52.
  • 17
    Kershnar AK, Daniels SR, Imperatore G, Palla SL, Petitti DB, Pettitt DJ, et al. Lipid abnormalities are prevalent in youth with type 1 and type 2 diabetes: the SEARCH for Diabetes in Youth Study. J Pediatr. 2006;149(3):314-9.
  • 18
    Polak M, Souchon PF, Benali K, Tubiana-Rufi N, Czernichow P. Type 1 diabetic children have abnormal lipid profiles during pubertal years. Pediatr Diabetes. 2000;1(2):74-81.
  • 19
    Guy J, Ogden L, Wadwa RP, Hamman RF, Mayer-Davis EJ, Liese AD, et al. Lipid and lipoprotein profiles in youth with and without type 1 diabetes. Diabetes Care. 2009;32:416-20.
  • 20
    Nathan DM, Cleary PA, Backlund JY, Genuth SM, Lachin JM, Orchard TJ, et al.; Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications (DCCT/EDIC) Study Research Group. Intensive diabetes treatment and cardiovascular disease in patients with type 1 diabetes. N Engl J Med. 2005;353(25):2643-53.
  • 21
    Alcantara LM, Silveira NE, Dantas JR, Araujo PB, de Oliveira MM, Milech A, et al. Low triglyceride levels are associated with a better metabolic control in patients with type 1 diabetes. Diabetol Metab Syndr. 2011;3:22.
  • 22
    Iannello S, Cavaleri A, Milazzo P, Cantarella S, Belfiore F. Low fasting serum triglyceride level as a precocious marker of autoimmune disorders. MedGenMed. 2003;5(3):20.
  • 23
    Liao Y, Cooper RS, Ghali JK, Lansky D, Cao G, Lee J. Sex differences in the impact of coexistent diabetes on survival in patients with coronary heart disease. Diabetes Care. 1993;16(5):708-13.
  • 24
    Pérez A, Wägner AM, Carreras G, Giménez G, Sánchez-Quesada JL, Rigla M, et al. Prevalence and phenotypic distribution of dyslipidemia in type 1 diabetes mellitus: effect of glycemic control. Arch Intern Med. 2000;160(18):2756-62.
  • 25
    Paris CA, Imperatore G, Klingensmith G, Petitti D, Rodriguez B, Anderson AM, et al. Predictors of insulin regimens and impact on outcomes in youth with type 1 diabetes: the SEARCH for Diabetes in Youth study. J Pediatr. 2009;155(2):183-9.e1.

Publication Dates

  • Publication in this collection
    June 2015

History

  • Received
    29 May 2015
  • Accepted
    29 May 2015
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