Skip to main content
Top
Published in: BMC Medicine 1/2017

Open Access 01-12-2017 | Research article

A pragmatic lifestyle modification programme reduces the incidence of predictors of cardio-metabolic disease and dysglycaemia in a young healthy urban South Asian population: a randomised controlled trial

Authors: Mahen Wijesuriya, Nikolaos Fountoulakis, Nicola Guess, Sarath Banneheka, Laksha Vasantharajah, Martin Gulliford, Giancarlo Viberti, Luigi Gnudi, Janaka Karalliedde

Published in: BMC Medicine | Issue 1/2017

Login to get access

Abstract

Background

There is an increasing incidence of type 2 diabetes mellitus (T2DM) in young urban South-Asians. We tested the effect of a pragmatic trimonthly lifestyle modification (LSM) programme (P-LSM) versus a less-intensive 12-monthly control LSM (C-LSM) intervention on a primary composite endpoint of predictors of cardio-metabolic disease (new onset T2DM, hypertension, impaired glucose tolerance (IGT), impaired fasting glycaemia (IFG) and markers of cardio-renal disease) in participants aged 5–40 years with risk factors for T2DM.

Methods

This was a randomised controlled trial performed at the National Diabetes Centre, Sri-Lanka. We individually randomised 4672 participants at risk of T2DM, of whom 3539 (mean age 22.5 (range 6–40 years, 48% males) received either trimonthly (P-LSM n = 1726) or 12-monthly (C-LSM n = 1813) peer educator advice aimed at reducing weight, improving diet, reducing psychological stress and increasing physical activity.

Results

During a median follow-up of 3 years, the cumulative incidence of the primary endpoint was n = 479 in P-LSM (74 per 1000 person years) vs. 561 in C-LSM (96 per 1000 person years), with an incident rate ratio (IRR) of 0.89 (95% CI 0.83–0.96, P = 0.02). In post hoc analyses, new onset dysglycaemia (T2DM, IFG and IGT), was the major contributor to the composite and was significantly reduced by P-LSM (IRR 0.9, 95% CI 0.83–0.97, P = 0.01). A significant impact of P-LSM on the incidence of the composite endpoint was noted in 1725 participants (P-LSM n = 850, C-LSM n = 875) aged below 18; P-LSM n = 140 (48 per 1000 person years) versus C-LSM n = 174 (55.4 per 1000 person years), with an IRR of 0.83 (95% CI 0.73–0.94, P = 0.004).

Conclusions

In a young at-risk South-Asian population, a pragmatic LSM programme significantly reduces the incidence of predictors of cardio-metabolic disease. Our results highlight the importance of early intervention in young at-risk subjects.

Trial registration

World Health Organization international clinical trial registry platform (SLCTR/​2008/​003). Registration Date: March 28, 2008. Retrospectively registered.
Appendix
Available only for authorised users
Literature
2.
go back to reference Ramachandran A, Ma RC, Snehalatha C. Diabetes in Asia. Lancet. 2010;375(9712):408–18.CrossRef Ramachandran A, Ma RC, Snehalatha C. Diabetes in Asia. Lancet. 2010;375(9712):408–18.CrossRef
4.
go back to reference Katulanda P, Constantine GR, Mahesh JG, Sheriff R, Seneviratne RD, Wijeratne S, et al. Prevalence and projections of diabetes and pre-diabetes in adults in Sri Lanka--Sri Lanka Diabetes, Cardiovascular Study (SLDCS). Diabet Med. 2008;25(9):1062–9.CrossRef Katulanda P, Constantine GR, Mahesh JG, Sheriff R, Seneviratne RD, Wijeratne S, et al. Prevalence and projections of diabetes and pre-diabetes in adults in Sri Lanka--Sri Lanka Diabetes, Cardiovascular Study (SLDCS). Diabet Med. 2008;25(9):1062–9.CrossRef
5.
go back to reference Knowler WC, Barrett-Connor E, Fowler SE, Hamman RF, Lachin JM, Walker EA, et al. Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. N Engl J Med. 2002;346(6):393–403.CrossRef Knowler WC, Barrett-Connor E, Fowler SE, Hamman RF, Lachin JM, Walker EA, et al. Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. N Engl J Med. 2002;346(6):393–403.CrossRef
6.
go back to reference Tuomilehto J, Lindstrom J, Eriksson JG, Valle TT, Hamalainen H, Ilanne-Parikka P, et al. Prevention of type 2 diabetes mellitus by changes in lifestyle among subjects with impaired glucose tolerance. N Engl J Med. 2001;344(18):1343–50.CrossRef Tuomilehto J, Lindstrom J, Eriksson JG, Valle TT, Hamalainen H, Ilanne-Parikka P, et al. Prevention of type 2 diabetes mellitus by changes in lifestyle among subjects with impaired glucose tolerance. N Engl J Med. 2001;344(18):1343–50.CrossRef
7.
go back to reference Ramachandran A, Snehalatha C, Mary S, Mukesh B, Bhaskar AD, Vijay V, et al. The Indian Diabetes Prevention Programme shows that lifestyle modification and metformin prevent type 2 diabetes in Asian Indian subjects with impaired glucose tolerance (IDPP-1). Diabetologia. 2006;49(2):289–97.CrossRef Ramachandran A, Snehalatha C, Mary S, Mukesh B, Bhaskar AD, Vijay V, et al. The Indian Diabetes Prevention Programme shows that lifestyle modification and metformin prevent type 2 diabetes in Asian Indian subjects with impaired glucose tolerance (IDPP-1). Diabetologia. 2006;49(2):289–97.CrossRef
8.
go back to reference Pan XR, Li GW, Hu YH, Wang JX, Yang WY, An ZX, et al. Effects of diet and exercise in preventing NIDDM in people with impaired glucose tolerance. The Da Qing IGT and Diabetes Study. Diabetes Care. 1997;20(4):537–44.CrossRef Pan XR, Li GW, Hu YH, Wang JX, Yang WY, An ZX, et al. Effects of diet and exercise in preventing NIDDM in people with impaired glucose tolerance. The Da Qing IGT and Diabetes Study. Diabetes Care. 1997;20(4):537–44.CrossRef
9.
go back to reference Wijesuriya M, Gulliford M, Vasantharajah L, Viberti G, Gnudi L, Karalliedde J. DIABRISK-SL Prevention of cardio-metabolic disease with life style modification in young urban Sri Lankan’s - study protocol for a randomized controlled trial. Trials. 2011;12:209.CrossRef Wijesuriya M, Gulliford M, Vasantharajah L, Viberti G, Gnudi L, Karalliedde J. DIABRISK-SL Prevention of cardio-metabolic disease with life style modification in young urban Sri Lankan’s - study protocol for a randomized controlled trial. Trials. 2011;12:209.CrossRef
10.
go back to reference Wijesuriya M, Gulliford M, Charlton J, Vasantharaja L, Viberti G, Gnudi L, et al. High prevalence of cardio-metabolic risk factors in a young urban Sri Lankan population. PLoS One. 2012;7(2):e31309.CrossRef Wijesuriya M, Gulliford M, Charlton J, Vasantharaja L, Viberti G, Gnudi L, et al. High prevalence of cardio-metabolic risk factors in a young urban Sri Lankan population. PLoS One. 2012;7(2):e31309.CrossRef
11.
go back to reference World Health Organization. Global Recommendations on Physical Activity for Health. Geneva: WHO; 2010. p. 1–57. World Health Organization. Global Recommendations on Physical Activity for Health. Geneva: WHO; 2010. p. 1–57.
12.
go back to reference Prochaska JO, Velicer WF. The transtheoretical model of health behavior change. Am J Health Promot. 1997;12(1):38–48.CrossRef Prochaska JO, Velicer WF. The transtheoretical model of health behavior change. Am J Health Promot. 1997;12(1):38–48.CrossRef
13.
go back to reference Expert Committee on the Diagnosis and Classification of Diabetes Mellitus. Report of the expert committee on the diagnosis and classification of diabetes mellitus. Diabetes Care. 2003;26 Suppl 1:S5–20. Expert Committee on the Diagnosis and Classification of Diabetes Mellitus. Report of the expert committee on the diagnosis and classification of diabetes mellitus. Diabetes Care. 2003;26 Suppl 1:S5–20.
14.
go back to reference Watts GF, Ooi EM. Balancing the cardiometabolic benefits and risks of statins. Lancet. 2012;380(9841):541–3.CrossRef Watts GF, Ooi EM. Balancing the cardiometabolic benefits and risks of statins. Lancet. 2012;380(9841):541–3.CrossRef
15.
go back to reference Berenson GS, Srinivasan SR, Bao W, Newman 3rd WP, Tracy RE, Wattigney WA. Association between multiple cardiovascular risk factors and atherosclerosis in children and young adults. The Bogalusa Heart Study. N Engl J Med. 1998;338(23):1650–6.CrossRef Berenson GS, Srinivasan SR, Bao W, Newman 3rd WP, Tracy RE, Wattigney WA. Association between multiple cardiovascular risk factors and atherosclerosis in children and young adults. The Bogalusa Heart Study. N Engl J Med. 1998;338(23):1650–6.CrossRef
16.
go back to reference Maahs DM, Daniels SR, de Ferranti SD, Dichek HL, Flynn J, Goldstein BI, et al. Cardiovascular disease risk factors in youth with diabetes mellitus: a scientific statement from the American Heart Association. Circulation. 2014;130(17):1532–58.CrossRef Maahs DM, Daniels SR, de Ferranti SD, Dichek HL, Flynn J, Goldstein BI, et al. Cardiovascular disease risk factors in youth with diabetes mellitus: a scientific statement from the American Heart Association. Circulation. 2014;130(17):1532–58.CrossRef
17.
go back to reference Preston DL. Poisson Regression in Epidemiology. Encyclopedia of Biostatistics. New York: John Wiley & Sons, Ltd.; 2005. Preston DL. Poisson Regression in Epidemiology. Encyclopedia of Biostatistics. New York: John Wiley & Sons, Ltd.; 2005.
18.
go back to reference Viel JF. Poisson regression in epidemiology. Rev Epidemiol Sante Publique. 1994;42(1):79–87.PubMed Viel JF. Poisson regression in epidemiology. Rev Epidemiol Sante Publique. 1994;42(1):79–87.PubMed
19.
go back to reference Chalmers J, Cooper ME. UKPDS and the legacy effect. N Engl J Med. 2008;359(15):1618–20.CrossRef Chalmers J, Cooper ME. UKPDS and the legacy effect. N Engl J Med. 2008;359(15):1618–20.CrossRef
20.
go back to reference Grundy SM. Pre-diabetes, metabolic syndrome, and cardiovascular risk. J Am Coll Cardiol. 2012;59(7):635–43.CrossRef Grundy SM. Pre-diabetes, metabolic syndrome, and cardiovascular risk. J Am Coll Cardiol. 2012;59(7):635–43.CrossRef
21.
go back to reference Li G, Zhang P, Wang J, An Y, Gong Q, Gregg EW, et al. Cardiovascular mortality, all-cause mortality, and diabetes incidence after lifestyle intervention for people with impaired glucose tolerance in the Da Qing Diabetes Prevention Study: a 23-year follow-up study. Lancet Diabetes Endocrinol. 2014;2(6):474–80.CrossRef Li G, Zhang P, Wang J, An Y, Gong Q, Gregg EW, et al. Cardiovascular mortality, all-cause mortality, and diabetes incidence after lifestyle intervention for people with impaired glucose tolerance in the Da Qing Diabetes Prevention Study: a 23-year follow-up study. Lancet Diabetes Endocrinol. 2014;2(6):474–80.CrossRef
22.
go back to reference Kahn R, Davidson MB. The reality of type 2 diabetes prevention. Diabetes Care. 2014;37(4):943–9.CrossRef Kahn R, Davidson MB. The reality of type 2 diabetes prevention. Diabetes Care. 2014;37(4):943–9.CrossRef
23.
go back to reference Houmard JA, Tanner CJ, Slentz CA, Duscha BD, McCartney JS, Kraus WE. Effect of the volume and intensity of exercise training on insulin sensitivity. J Appl Physiol. 2004;96(1):101–6.CrossRef Houmard JA, Tanner CJ, Slentz CA, Duscha BD, McCartney JS, Kraus WE. Effect of the volume and intensity of exercise training on insulin sensitivity. J Appl Physiol. 2004;96(1):101–6.CrossRef
24.
go back to reference Winner D, Norton L, Kanat M, Arya R, Fourcaudot M, Hansis-Diarte A, et al. Strong association between insulin-mediated glucose uptake and the 2-hour, not the fasting plasma glucose concentration, in the normal glucose tolerance range. J Clin Endocrinol Metab. 2014;99(9):3444–9.CrossRef Winner D, Norton L, Kanat M, Arya R, Fourcaudot M, Hansis-Diarte A, et al. Strong association between insulin-mediated glucose uptake and the 2-hour, not the fasting plasma glucose concentration, in the normal glucose tolerance range. J Clin Endocrinol Metab. 2014;99(9):3444–9.CrossRef
25.
go back to reference Ratner R, Goldberg R, Haffner S, Marcovina S, Orchard T, Fowler S, et al. Impact of intensive lifestyle and metformin therapy on cardiovascular disease risk factors in the diabetes prevention program. Diabetes Care. 2005;28(4):888–94.CrossRef Ratner R, Goldberg R, Haffner S, Marcovina S, Orchard T, Fowler S, et al. Impact of intensive lifestyle and metformin therapy on cardiovascular disease risk factors in the diabetes prevention program. Diabetes Care. 2005;28(4):888–94.CrossRef
26.
go back to reference Lindstrom J, Louheranta A, Mannelin M, Rastas M, Salminen V, Eriksson J, et al. The Finnish Diabetes Prevention Study (DPS): Lifestyle intervention and 3-year results on diet and physical activity. Diabetes Care. 2003;26(12):3230–6.CrossRef Lindstrom J, Louheranta A, Mannelin M, Rastas M, Salminen V, Eriksson J, et al. The Finnish Diabetes Prevention Study (DPS): Lifestyle intervention and 3-year results on diet and physical activity. Diabetes Care. 2003;26(12):3230–6.CrossRef
27.
go back to reference Snehalatha C, Mary S, Joshi VV, Ramachandran A. Beneficial effects of strategies for primary prevention of diabetes on cardiovascular risk factors: results of the Indian Diabetes Prevention Programme. Diab Vasc Dis Res. 2008;5(1):25–9.CrossRef Snehalatha C, Mary S, Joshi VV, Ramachandran A. Beneficial effects of strategies for primary prevention of diabetes on cardiovascular risk factors: results of the Indian Diabetes Prevention Programme. Diab Vasc Dis Res. 2008;5(1):25–9.CrossRef
28.
go back to reference Diabetes Prevention Program Research G, Knowler WC, Fowler SE, Hamman RF, Christophi CA, Hoffman HJ, et al. 10-year follow-up of diabetes incidence and weight loss in the Diabetes Prevention Program Outcomes Study. Lancet. 2009;374(9702):1677–86.CrossRef Diabetes Prevention Program Research G, Knowler WC, Fowler SE, Hamman RF, Christophi CA, Hoffman HJ, et al. 10-year follow-up of diabetes incidence and weight loss in the Diabetes Prevention Program Outcomes Study. Lancet. 2009;374(9702):1677–86.CrossRef
29.
go back to reference Li G, Zhang P, Wang J, Gregg EW, Yang W, Gong Q, et al. The long-term effect of lifestyle interventions to prevent diabetes in the China Da Qing Diabetes Prevention Study: a 20-year follow-up study. Lancet. 2008;371(9626):1783–9.CrossRef Li G, Zhang P, Wang J, Gregg EW, Yang W, Gong Q, et al. The long-term effect of lifestyle interventions to prevent diabetes in the China Da Qing Diabetes Prevention Study: a 20-year follow-up study. Lancet. 2008;371(9626):1783–9.CrossRef
30.
go back to reference Lindstrom J, Neumann A, Sheppard KE, Gilis-Januszewska A, Greaves CJ, Handke U, et al. Take action to prevent diabetes--the IMAGE toolkit for the prevention of type 2 diabetes in Europe. Horm Metab Res. 2010;42 Suppl 1:S37–55.CrossRef Lindstrom J, Neumann A, Sheppard KE, Gilis-Januszewska A, Greaves CJ, Handke U, et al. Take action to prevent diabetes--the IMAGE toolkit for the prevention of type 2 diabetes in Europe. Horm Metab Res. 2010;42 Suppl 1:S37–55.CrossRef
31.
go back to reference Schwarz PE, Riemenschneider H. Slowing down the progression of type 2 diabetes: we need fair, innovative, and disruptive action on environmental and policy levels! Diabetes Care. 2016;39 Suppl 2:S121–6.CrossRef Schwarz PE, Riemenschneider H. Slowing down the progression of type 2 diabetes: we need fair, innovative, and disruptive action on environmental and policy levels! Diabetes Care. 2016;39 Suppl 2:S121–6.CrossRef
Metadata
Title
A pragmatic lifestyle modification programme reduces the incidence of predictors of cardio-metabolic disease and dysglycaemia in a young healthy urban South Asian population: a randomised controlled trial
Authors
Mahen Wijesuriya
Nikolaos Fountoulakis
Nicola Guess
Sarath Banneheka
Laksha Vasantharajah
Martin Gulliford
Giancarlo Viberti
Luigi Gnudi
Janaka Karalliedde
Publication date
01-12-2017
Publisher
BioMed Central
Published in
BMC Medicine / Issue 1/2017
Electronic ISSN: 1741-7015
DOI
https://doi.org/10.1186/s12916-017-0905-6

Other articles of this Issue 1/2017

BMC Medicine 1/2017 Go to the issue