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Published in: BMC Pediatrics 1/2019

Open Access 01-12-2019 | Insulins | Research article

Active children are less adipose and insulin resistant in early adolescence; evidence from the Mysore Parthenon Cohort

Authors: Sarah H. Kehoe, Ghattu V. Krishnaveni, Sargoor Veena, Krishnarajasagara N. Kiran, Samuel C. Karat, Asha Dhubey, Patsy Coakley, Caroline H. D. Fall

Published in: BMC Pediatrics | Issue 1/2019

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Abstract

Background

The aim of this study was to determine whether physical activity volume and intensity in mid-childhood and early adolescence were associated with cardiometabolic risk factors at 13.5 years.

Methods

Participants were recruited from the Mysore Parthenon observational birth cohort. At ages 6–10 and 11–13 years, volume and intensity of physical activity were assessed using AM7164 or GT1M actigraph accelerometers worn for ≥4 days, and expressed as mean counts per day and percentage time spent in light, moderate and vigorous physical activity according to criteria defined by Evenson et al. At 13.5 years, fasting blood samples were collected; lipids, glucose and insulin concentrations were measured and insulin resistance (HOMA) was calculated. Systolic and diastolic blood pressure were measured at the left arm using a Dinamap (Criticon). Anthropometry and bio-impedance analysis were used to assess body size and composition. Metabolic and anthropometric measures were combined to produce a metabolic syndrome risk score.

Results

At 6–10 years, boys and girls respectively spent a median (IQR) of 1.1 (0.5, 2.0) % and 0.8 (0.4, 1.3) % of recorded time vigorously active. At 11–13 years, boys and girls respectively spent a median (IQR) of 0.8 (0.4, 1.7) % and 0.3 (0.1, 0.6) % of time vigorously active. All of the physical activity parameters were positively correlated between the 6–10 year and the 11–13 year measurements indicating that physical activity tracked from childhood to early adolescence. There were no associations between physical activity at 6–10 years and individual 13.5 year risk factors but % time vigorously active was inversely associated with metabolic syndrome score (B = −0.40, 95% CI −0.75, 0.05). Volume of physical activity at 11–13 years was inversely associated with 13.5 year HOMA and fat percentage and vigorous physical activity was associated with HOMA, fat percentage, sum of skinfolds, waist circumference and total: HDL cholesterol ratio. Vigorous physical activity was inversely associated with metabolic syndrome score (B = −0.51, 95% CI −0.94, −0.08).

Conclusions

Volume and intensity of physical activity in early adolescence were negatively associated with metabolic and anthropometric risk factors. Interventions that aim to increase adolescent physical activity, especially vigorous, may prevent cardiometabolic disease in later life.
Footnotes
1
Calculated using the formula (1/3 mean systolic bp) + (2/3 mean diastolic bp).
 
Literature
1.
go back to reference Institute for Health Metrics and Evaluation. Findings from the Global Burden of Disease Study 2017. Seattle: Institute for Health Metrics and Evaluation; 2018. Institute for Health Metrics and Evaluation. Findings from the Global Burden of Disease Study 2017. Seattle: Institute for Health Metrics and Evaluation; 2018.
2.
go back to reference Patel V, Chatterji S, Chisholm D, Ebrahim S, Gopalakrishna G, Mathers C, Mohan V, Prabhakaran D, Ravindran RD, Reddy KS. Chronic diseases and injuries in India. Lancet. 2011;377(9763):413–28.PubMedCrossRef Patel V, Chatterji S, Chisholm D, Ebrahim S, Gopalakrishna G, Mathers C, Mohan V, Prabhakaran D, Ravindran RD, Reddy KS. Chronic diseases and injuries in India. Lancet. 2011;377(9763):413–28.PubMedCrossRef
3.
go back to reference International Diabetes Federation. IDF Diabetes Atlas, 7th edn. Brussels; 2015. International Diabetes Federation. IDF Diabetes Atlas, 7th edn. Brussels; 2015.
4.
go back to reference World Health Organisation. The world health report 2007 – A safer future: global public health security in the 21st century. Geneva; 2007. World Health Organisation. The world health report 2007 – A safer future: global public health security in the 21st century. Geneva; 2007.
5.
go back to reference Lobstein T, Baur L, Uauy R. Obesity in children and young people: a crisis in public health. Obes Rev. 2004;5(Suppl 1):4–104.PubMedCrossRef Lobstein T, Baur L, Uauy R. Obesity in children and young people: a crisis in public health. Obes Rev. 2004;5(Suppl 1):4–104.PubMedCrossRef
6.
go back to reference Kumar S, Mahabalaraju DK, Anuroopa MS. Prevalence of obesity and its influencing factor among affluent school children of Davangere city. Indian J Community Med. 2007;32(1):15–7.CrossRef Kumar S, Mahabalaraju DK, Anuroopa MS. Prevalence of obesity and its influencing factor among affluent school children of Davangere city. Indian J Community Med. 2007;32(1):15–7.CrossRef
7.
go back to reference Misra A, Khurana L, Vikram NK, Goel A, Wasir JS. Metabolic syndrome in children: current issues and South Asian perspective. Nutrition. 2007;23(11–12):895–910.PubMedCrossRef Misra A, Khurana L, Vikram NK, Goel A, Wasir JS. Metabolic syndrome in children: current issues and South Asian perspective. Nutrition. 2007;23(11–12):895–910.PubMedCrossRef
8.
go back to reference Whincup PH, Gilg JA, Papacosta O, Seymour C, Miller GJ, Alberti KG, Cook DG. Early evidence of ethnic differences in cardiovascular risk: cross sectional comparison of British South Asian and white children. BMJ. 2002;324(7338):635.PubMedPubMedCentralCrossRef Whincup PH, Gilg JA, Papacosta O, Seymour C, Miller GJ, Alberti KG, Cook DG. Early evidence of ethnic differences in cardiovascular risk: cross sectional comparison of British South Asian and white children. BMJ. 2002;324(7338):635.PubMedPubMedCentralCrossRef
9.
go back to reference Bhardwaj S, Misra A, Khurana L, Gulati S, Shah P, Vikram NK. Childhood obesity in Asian Indians: a burgeoning cause of insulin resistance, diabetes and sub-clinical inflammation. Asia Pac J Clin Nutr. 2008;17(Suppl 1):172–5.PubMed Bhardwaj S, Misra A, Khurana L, Gulati S, Shah P, Vikram NK. Childhood obesity in Asian Indians: a burgeoning cause of insulin resistance, diabetes and sub-clinical inflammation. Asia Pac J Clin Nutr. 2008;17(Suppl 1):172–5.PubMed
10.
go back to reference Jimenez-Pavon D, Konstabel K, Bergman P, Ahrens W, Pohlabeln H, Hadjigeorgiou C, Siani A, Iacoviello L, Molnar D, De Henauw S, et al. Physical activity and clustered cardiovascular disease risk factors in young children: a cross-sectional study (the IDEFICS study). BMC Med. 2013;11:172.PubMedPubMedCentralCrossRef Jimenez-Pavon D, Konstabel K, Bergman P, Ahrens W, Pohlabeln H, Hadjigeorgiou C, Siani A, Iacoviello L, Molnar D, De Henauw S, et al. Physical activity and clustered cardiovascular disease risk factors in young children: a cross-sectional study (the IDEFICS study). BMC Med. 2013;11:172.PubMedPubMedCentralCrossRef
11.
go back to reference Carson V, Rinaldi RL, Torrance B, Maximova K, Ball GD, Majumdar SR, Plotnikoff RC, Veugelers P, Boule NG, Wozny P, et al. Vigorous physical activity and longitudinal associations with cardiometabolic risk factors in youth. Int J Obes. 2014;38(1):16–21.CrossRef Carson V, Rinaldi RL, Torrance B, Maximova K, Ball GD, Majumdar SR, Plotnikoff RC, Veugelers P, Boule NG, Wozny P, et al. Vigorous physical activity and longitudinal associations with cardiometabolic risk factors in youth. Int J Obes. 2014;38(1):16–21.CrossRef
12.
go back to reference Andersen LB, Harro M, Sardinha LB, Froberg K, Ekelund U, Brage S, Anderssen SA. Physical activity and clustered cardiovascular risk in children: a cross-sectional study (The European Youth Heart Study). Lancet. 2006;368(9532):299–304.PubMedCrossRef Andersen LB, Harro M, Sardinha LB, Froberg K, Ekelund U, Brage S, Anderssen SA. Physical activity and clustered cardiovascular risk in children: a cross-sectional study (The European Youth Heart Study). Lancet. 2006;368(9532):299–304.PubMedCrossRef
13.
go back to reference Carson V, Hunter S, Kuzik N, Gray CE, Poitras VJ, Chaput JP, Saunders TJ, Katzmarzyk PT, Okely AD, Connor Gorber S, et al. Systematic review of sedentary behaviour and health indicators in school-aged children and youth: an update. Appl Physiol Nutr Metab. 2016;41(6 Suppl 3):S240–65.PubMedCrossRef Carson V, Hunter S, Kuzik N, Gray CE, Poitras VJ, Chaput JP, Saunders TJ, Katzmarzyk PT, Okely AD, Connor Gorber S, et al. Systematic review of sedentary behaviour and health indicators in school-aged children and youth: an update. Appl Physiol Nutr Metab. 2016;41(6 Suppl 3):S240–65.PubMedCrossRef
14.
go back to reference Andersen LB, Riddoch C, Kriemler S, Hills AP. Physical activity and cardiovascular risk factors in children. Br J Sports Med. 2011;45(11):871–6.PubMedCrossRef Andersen LB, Riddoch C, Kriemler S, Hills AP. Physical activity and cardiovascular risk factors in children. Br J Sports Med. 2011;45(11):871–6.PubMedCrossRef
15.
go back to reference Ried-Larsen M, Grontved A, Moller NC, Larsen KT, Froberg K, Andersen LB. Associations between objectively measured physical activity intensity in childhood and measures of subclinical cardiovascular disease in adolescence: prospective observations from the European Youth Heart Study. Br J Sports Med. 2014;48(20):1502–7.PubMedCrossRef Ried-Larsen M, Grontved A, Moller NC, Larsen KT, Froberg K, Andersen LB. Associations between objectively measured physical activity intensity in childhood and measures of subclinical cardiovascular disease in adolescence: prospective observations from the European Youth Heart Study. Br J Sports Med. 2014;48(20):1502–7.PubMedCrossRef
16.
go back to reference Craigie AM, Lake AA, Kelly SA, Adamson AJ, Mathers JC. Tracking of obesity-related behaviours from childhood to adulthood: a systematic review. Maturitas. 2011;70(3):266–84.PubMedCrossRef Craigie AM, Lake AA, Kelly SA, Adamson AJ, Mathers JC. Tracking of obesity-related behaviours from childhood to adulthood: a systematic review. Maturitas. 2011;70(3):266–84.PubMedCrossRef
17.
go back to reference Azevedo MR, Araujo CL, Cozzensa da SM, Hallal PC. Tracking of physical activity from adolescence to adulthood: a population-based study. RevSaude Publica. 2007;41(1):69–75. Azevedo MR, Araujo CL, Cozzensa da SM, Hallal PC. Tracking of physical activity from adolescence to adulthood: a population-based study. RevSaude Publica. 2007;41(1):69–75.
18.
go back to reference Aubert S, Barnes JD, Abdeta C, Abi Nader P, Adeniyi AF, Aguilar-Farias N, Andrade Tenesaca DS, Bhawra J, Brazo-Sayavera J, Cardon G, et al. Global matrix 3.0 physical activity report card grades for children and youth: results and analysis from 49 countries. J Phys Act Health. 2018;15(S2):S251–s273.PubMedCrossRef Aubert S, Barnes JD, Abdeta C, Abi Nader P, Adeniyi AF, Aguilar-Farias N, Andrade Tenesaca DS, Bhawra J, Brazo-Sayavera J, Cardon G, et al. Global matrix 3.0 physical activity report card grades for children and youth: results and analysis from 49 countries. J Phys Act Health. 2018;15(S2):S251–s273.PubMedCrossRef
19.
go back to reference Krishnaveni GV, Veena SR, Hill JC, Karat SC, Fall CH. Cohort profile: Mysore parthenon birth cohort. Int J Epidemiol. 2015;44(1):28–36.PubMedCrossRef Krishnaveni GV, Veena SR, Hill JC, Karat SC, Fall CH. Cohort profile: Mysore parthenon birth cohort. Int J Epidemiol. 2015;44(1):28–36.PubMedCrossRef
20.
go back to reference Krishnaveni GV, Hill JC, Veena SR, Leary SD, Saperia J, Chachyamma KJ, Karat SC, Fall CH. Truncal adiposity is present at birth and in early childhood in South Indian children. Indian Pediatr. 2005;42(6):527–38.PubMed Krishnaveni GV, Hill JC, Veena SR, Leary SD, Saperia J, Chachyamma KJ, Karat SC, Fall CH. Truncal adiposity is present at birth and in early childhood in South Indian children. Indian Pediatr. 2005;42(6):527–38.PubMed
21.
go back to reference Corder K, Brage S, Ramachandran A, Snehalatha C, Wareham N, Ekelund U. Comparison of two Actigraph models for assessing free-living physical activity in Indian adolescents. J Sports Sci. 2007;25(14):1607–11.PubMedCrossRef Corder K, Brage S, Ramachandran A, Snehalatha C, Wareham N, Ekelund U. Comparison of two Actigraph models for assessing free-living physical activity in Indian adolescents. J Sports Sci. 2007;25(14):1607–11.PubMedCrossRef
22.
go back to reference Bray GA, DeLany JP, Harsha DW, Volaufova J, Champagne CC. Evaluation of body fat in fatter and leaner 10-y-old African American and white children: the Baton Rouge Children’s Study. Am J Clin Nutr. 2001;73(4):687–702.PubMedCrossRef Bray GA, DeLany JP, Harsha DW, Volaufova J, Champagne CC. Evaluation of body fat in fatter and leaner 10-y-old African American and white children: the Baton Rouge Children’s Study. Am J Clin Nutr. 2001;73(4):687–702.PubMedCrossRef
23.
go back to reference Pietrobelli A, Andreoli A, Cervelli V, Carbonelli MG, Peroni DG, De Lorenzo A. Predicting fat-free mass in children using bioimpedance analysis. Acta Diabetol. 2003;40(Suppl 1):S212–5.PubMedCrossRef Pietrobelli A, Andreoli A, Cervelli V, Carbonelli MG, Peroni DG, De Lorenzo A. Predicting fat-free mass in children using bioimpedance analysis. Acta Diabetol. 2003;40(Suppl 1):S212–5.PubMedCrossRef
24.
go back to reference Kehoe SH, Krishnaveni GV, Lubree HG, Wills AK, Guntupalli AM, Veena SR, Bhat DS, Kishore R, Fall CH, Yajnik CS, et al. Prediction of body-fat percentage from skinfold and bio-impedance measurements in Indian school children. Eur J Clin Nutr. 2011;65(12):1263–70.PubMedPubMedCentralCrossRef Kehoe SH, Krishnaveni GV, Lubree HG, Wills AK, Guntupalli AM, Veena SR, Bhat DS, Kishore R, Fall CH, Yajnik CS, et al. Prediction of body-fat percentage from skinfold and bio-impedance measurements in Indian school children. Eur J Clin Nutr. 2011;65(12):1263–70.PubMedPubMedCentralCrossRef
25.
go back to reference Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC. Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia. 1985;28(7):412–9.CrossRefPubMed Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC. Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia. 1985;28(7):412–9.CrossRefPubMed
27.
go back to reference Carpenter MW, Coustan DR. Criteria for screening tests for gestational diabetes. Am J Obstet Gynecol. 1982;144(7):768–73.PubMedCrossRef Carpenter MW, Coustan DR. Criteria for screening tests for gestational diabetes. Am J Obstet Gynecol. 1982;144(7):768–73.PubMedCrossRef
28.
go back to reference International Institute for Population Sciences. National Family Health Survey (NFHS-2) 1998–1999. Mumbai/Washington, DC; 2000. International Institute for Population Sciences. National Family Health Survey (NFHS-2) 1998–1999. Mumbai/Washington, DC; 2000.
29.
go back to reference Tanner JM. Growth in adolescence. 2nd ed. Oxford: Blackwell Scientific Publications; 1962. Tanner JM. Growth in adolescence. 2nd ed. Oxford: Blackwell Scientific Publications; 1962.
30.
go back to reference Evenson KR, Catellier DJ, Gill K, Ondrak KS, McMurray RG. Calibration of two objective measures of physical activity for children. J Sports Sci. 2008;26(14):1557–65.PubMedCrossRef Evenson KR, Catellier DJ, Gill K, Ondrak KS, McMurray RG. Calibration of two objective measures of physical activity for children. J Sports Sci. 2008;26(14):1557–65.PubMedCrossRef
31.
go back to reference Trost SG, Loprinzi PD, Moore R, Pfeiffer KA. Comparison of accelerometer cut points for predicting activity intensity in youth. Med Sci Sports Exerc. 2011;43(7):1360–8.PubMedCrossRef Trost SG, Loprinzi PD, Moore R, Pfeiffer KA. Comparison of accelerometer cut points for predicting activity intensity in youth. Med Sci Sports Exerc. 2011;43(7):1360–8.PubMedCrossRef
32.
go back to reference Richmond RC, Davey Smith G, Ness AR, den Hoed M, McMahon G, Timpson NJ. Assessing causality in the association between child adiposity and physical activity levels: a Mendelian randomization analysis. PLoS Med. 2014;11(3):e1001618.PubMedPubMedCentralCrossRef Richmond RC, Davey Smith G, Ness AR, den Hoed M, McMahon G, Timpson NJ. Assessing causality in the association between child adiposity and physical activity levels: a Mendelian randomization analysis. PLoS Med. 2014;11(3):e1001618.PubMedPubMedCentralCrossRef
33.
go back to reference Krishnaveni GV, Veena SR, Srinivasan K, Osmond C, Fall CH. Linear growth and fat and lean tissue gain during childhood: associations with cardiometabolic and cognitive outcomes in adolescent Indian children. PLoS One. 2015;10(11):e0143231.PubMedPubMedCentralCrossRef Krishnaveni GV, Veena SR, Srinivasan K, Osmond C, Fall CH. Linear growth and fat and lean tissue gain during childhood: associations with cardiometabolic and cognitive outcomes in adolescent Indian children. PLoS One. 2015;10(11):e0143231.PubMedPubMedCentralCrossRef
34.
go back to reference Garcia-Hermoso A, Saavedra JM, Escalante Y, Sanchez-Lopez M, Martinez-Vizcaino V. Endocrinology and adolescence: aerobic exercise reduces insulin resistance markers in obese youth: a meta-analysis of randomized controlled trials. Eur J Endocrinol. 2014;171(4):R163–71.PubMedCrossRef Garcia-Hermoso A, Saavedra JM, Escalante Y, Sanchez-Lopez M, Martinez-Vizcaino V. Endocrinology and adolescence: aerobic exercise reduces insulin resistance markers in obese youth: a meta-analysis of randomized controlled trials. Eur J Endocrinol. 2014;171(4):R163–71.PubMedCrossRef
35.
go back to reference Ness AR, Leary SD, Mattocks C, Blair SN, Reilly JJ, Wells J, Ingle S, Tilling K, Smith GD, Riddoch C. Objectively measured physical activity and fat mass in a large cohort of children. PLoS Med. 2007;4(3):e97.PubMedPubMedCentralCrossRef Ness AR, Leary SD, Mattocks C, Blair SN, Reilly JJ, Wells J, Ingle S, Tilling K, Smith GD, Riddoch C. Objectively measured physical activity and fat mass in a large cohort of children. PLoS Med. 2007;4(3):e97.PubMedPubMedCentralCrossRef
36.
go back to reference Ekelund U, Sardinha LB, Anderssen SA, Harro M, Franks PW, Brage S, Cooper AR, Andersen LB, Riddoch C, Froberg K. Associations between objectively assessed physical activity and indicators of body fatness in 9- to 10-y-old European children: a population-based study from 4 distinct regions in Europe (the European Youth Heart Study). Am J Clin Nutr. 2004;80(3):584–90.PubMedCrossRef Ekelund U, Sardinha LB, Anderssen SA, Harro M, Franks PW, Brage S, Cooper AR, Andersen LB, Riddoch C, Froberg K. Associations between objectively assessed physical activity and indicators of body fatness in 9- to 10-y-old European children: a population-based study from 4 distinct regions in Europe (the European Youth Heart Study). Am J Clin Nutr. 2004;80(3):584–90.PubMedCrossRef
37.
go back to reference Trost SG, Sirard JR, Dowda M, Pfeiffer KA, Pate RR. Physical activity in overweight and nonoverweight preschool children. Int J Obes Relat Metab Disord. 2003;27(7):834–9.PubMedCrossRef Trost SG, Sirard JR, Dowda M, Pfeiffer KA, Pate RR. Physical activity in overweight and nonoverweight preschool children. Int J Obes Relat Metab Disord. 2003;27(7):834–9.PubMedCrossRef
38.
go back to reference McMullen S. Childhood obesity: the impact on long-term risk of metabolic and CVD is not necessarily inevitable. Proc Nutr Soc. 2014;73(3):389–96.PubMedCrossRef McMullen S. Childhood obesity: the impact on long-term risk of metabolic and CVD is not necessarily inevitable. Proc Nutr Soc. 2014;73(3):389–96.PubMedCrossRef
39.
go back to reference Joshi SM, Katre PA, Kumaran K, Joglekar C, Osmond C, Bhat DS, Lubree H, Pandit A, Yajnik CS, Fall CH. Tracking of cardiovascular risk factors from childhood to young adulthood – the Pune Children’s Study. Int J Cardiol. 2014;175(1):176–8.PubMedPubMedCentralCrossRef Joshi SM, Katre PA, Kumaran K, Joglekar C, Osmond C, Bhat DS, Lubree H, Pandit A, Yajnik CS, Fall CH. Tracking of cardiovascular risk factors from childhood to young adulthood – the Pune Children’s Study. Int J Cardiol. 2014;175(1):176–8.PubMedPubMedCentralCrossRef
40.
go back to reference Verswijveren S, Lamb KE, Bell LA, Timperio A, Salmon J, Ridgers ND. Associations between activity patterns and cardio-metabolic risk factors in children and adolescents: a systematic review. PLoS One. 2018;13(8):e0201947.PubMedPubMedCentralCrossRef Verswijveren S, Lamb KE, Bell LA, Timperio A, Salmon J, Ridgers ND. Associations between activity patterns and cardio-metabolic risk factors in children and adolescents: a systematic review. PLoS One. 2018;13(8):e0201947.PubMedPubMedCentralCrossRef
41.
go back to reference Tremblay MS, Colley RC, Saunders TJ, Healy GN, Owen N. Physiological and health implications of a sedentary lifestyle. Appl Physiol Nutr Metab. 2010;35(6):725–40.PubMedCrossRef Tremblay MS, Colley RC, Saunders TJ, Healy GN, Owen N. Physiological and health implications of a sedentary lifestyle. Appl Physiol Nutr Metab. 2010;35(6):725–40.PubMedCrossRef
42.
go back to reference Figueiro TH, Arins GCB. Association of objectively measured sedentary behavior and physical activity with cardiometabolic risk markers in older adults. PLOS One. 2019;14(1):e0210861.PubMedPubMedCentralCrossRef Figueiro TH, Arins GCB. Association of objectively measured sedentary behavior and physical activity with cardiometabolic risk markers in older adults. PLOS One. 2019;14(1):e0210861.PubMedPubMedCentralCrossRef
43.
go back to reference Holloszy JO. Exercise-induced increase in muscle insulin sensitivity. J Appl Physiol (Bethesda, MD: 1985). 2005;99(1):338–43.CrossRef Holloszy JO. Exercise-induced increase in muscle insulin sensitivity. J Appl Physiol (Bethesda, MD: 1985). 2005;99(1):338–43.CrossRef
44.
go back to reference Hamilton MT, Hamilton DG, Zderic TW. Exercise physiology versus inactivity physiology: an essential concept for understanding lipoprotein lipase regulation. Exerc Sport Sci Rev. 2004;32(4):161–6.PubMedPubMedCentralCrossRef Hamilton MT, Hamilton DG, Zderic TW. Exercise physiology versus inactivity physiology: an essential concept for understanding lipoprotein lipase regulation. Exerc Sport Sci Rev. 2004;32(4):161–6.PubMedPubMedCentralCrossRef
45.
go back to reference Cheng Z, Zheng L, Almeida FA. Epigenetic reprogramming in metabolic disorders: nutritional factors and beyond. J Nutr Biochem. 2018;54:1–10.PubMedCrossRef Cheng Z, Zheng L, Almeida FA. Epigenetic reprogramming in metabolic disorders: nutritional factors and beyond. J Nutr Biochem. 2018;54:1–10.PubMedCrossRef
46.
go back to reference Mann S, Beedie C, Jimenez A. Differential effects of aerobic exercise, resistance training and combined exercise modalities on cholesterol and the lipid profile: review, synthesis and recommendations. Sports Med. 2014;44(2):211–21.PubMedCrossRef Mann S, Beedie C, Jimenez A. Differential effects of aerobic exercise, resistance training and combined exercise modalities on cholesterol and the lipid profile: review, synthesis and recommendations. Sports Med. 2014;44(2):211–21.PubMedCrossRef
47.
go back to reference Hendelman D, Miller K, Baggett C, Debold E, Freedson P. Validity of accelerometry for the assessment of moderate intensity physical activity in the field. Med Sci Sports Exerc. 2000;32(9 Suppl):S442–9.PubMedCrossRef Hendelman D, Miller K, Baggett C, Debold E, Freedson P. Validity of accelerometry for the assessment of moderate intensity physical activity in the field. Med Sci Sports Exerc. 2000;32(9 Suppl):S442–9.PubMedCrossRef
48.
go back to reference Muthayya S, Dwarkanath P, Thomas T, Vaz M, Mhaskar A, Mhaskar R, Thomas A, Bhat S, Kurpad A. Anthropometry and body composition of south Indian babies at birth. Public Health Nutr. 2006;9(7):896–903.PubMedCrossRef Muthayya S, Dwarkanath P, Thomas T, Vaz M, Mhaskar A, Mhaskar R, Thomas A, Bhat S, Kurpad A. Anthropometry and body composition of south Indian babies at birth. Public Health Nutr. 2006;9(7):896–903.PubMedCrossRef
49.
go back to reference Bavdekar A, Yajnik CS, Fall CH, Bapat S, Pandit AN, Deshpande V, Bhave S, Kellingray SD, Joglekar C. Insulin resistance syndrome in 8-year-old Indian children: small at birth, big at 8 years, or both? Diabetes. 1999;48(12):2422–9.PubMedCrossRef Bavdekar A, Yajnik CS, Fall CH, Bapat S, Pandit AN, Deshpande V, Bhave S, Kellingray SD, Joglekar C. Insulin resistance syndrome in 8-year-old Indian children: small at birth, big at 8 years, or both? Diabetes. 1999;48(12):2422–9.PubMedCrossRef
50.
go back to reference Ranjani H, Sonya J, Anjana RM, Mohan V. Prevalence of glucose intolerance among children and adolescents in urban South India (ORANGE-2). Diabetes Technol Ther. 2013;15(1):13–9.PubMedCrossRef Ranjani H, Sonya J, Anjana RM, Mohan V. Prevalence of glucose intolerance among children and adolescents in urban South India (ORANGE-2). Diabetes Technol Ther. 2013;15(1):13–9.PubMedCrossRef
51.
go back to reference Katapally TR, Goenka S, Bhawra J, Mani S, Krishnaveni GV, Kehoe SH, Lamkang AS, Raj M, McNutt K. Results from India's 2016 report card on physical activity for children and youth. J Phys Act Health. 2016;13(11 Suppl 2):S176–s182.PubMedCrossRef Katapally TR, Goenka S, Bhawra J, Mani S, Krishnaveni GV, Kehoe SH, Lamkang AS, Raj M, McNutt K. Results from India's 2016 report card on physical activity for children and youth. J Phys Act Health. 2016;13(11 Suppl 2):S176–s182.PubMedCrossRef
Metadata
Title
Active children are less adipose and insulin resistant in early adolescence; evidence from the Mysore Parthenon Cohort
Authors
Sarah H. Kehoe
Ghattu V. Krishnaveni
Sargoor Veena
Krishnarajasagara N. Kiran
Samuel C. Karat
Asha Dhubey
Patsy Coakley
Caroline H. D. Fall
Publication date
01-12-2019
Publisher
BioMed Central
Keywords
Insulins
Insulins
Published in
BMC Pediatrics / Issue 1/2019
Electronic ISSN: 1471-2431
DOI
https://doi.org/10.1186/s12887-019-1855-2

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