Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Original Article
  • Published:

Clinical Studies and Practice

Impact of lifestyle intervention for obese women during pregnancy on maternal metabolic and inflammatory markers

Abstract

Background:

Offspring of obese mothers have increased risk of developing obesity and related short- and long-term disease. The cause is multifactorial and may partly be explained by the unfavorable intrauterine environment. Intervention during pregnancy leading to a healthier lifestyle among obese may alter this.

Objective:

To assess the effect of lifestyle intervention on markers of maternal metabolism and inflammation in ‘the TOP (Treatment of Obese Pregnant Women) study’, a randomized controlled trial.

Methods:

In the TOP-study 425 participants with body mass index 30 kg/m2 were randomized to intervention with dietary advices and physical activity assessed by pedometer (PA+D), physical activity assessed by pedometer (PA) or control (C). Of 389 participants completing the study 376 had available blood samples. Serum was analyzed for insulin, c-peptide, lipid profile, leptin, high-sensitivity CRP (hsCRP) and Soluble urokinase Plasminogen Activator Receptor (suPAR), in week 18–20 and 28–30, and simultaneously a 2-h oral glucose-tolerance-test was performed. Diet was assessed in gestational week 11–14 and 36–37 using a validated 360-item Food Frequency Questionnaire.

Results:

Median levels of hsCRP in gestational week 28–30 were lower in each of the intervention groups (8.3 mg/l in PA+D group, P=0.03; and 8.8 mg/l in PA group, P=0.02) versus the control group (11.5 mg/l). Obtaining 11 000 steps per day as aimed for resulted in a 21% lower hsCRP compared to non-compliant women. Women reporting high carbohydrate intake had around 30% higher hsCRP concentrations in late gestation than women reporting the lowest intake. There were no differences in lipid profile or any of the metabolic markers in gestational week 28–30 when comparing the intervention and control groups.

Conclusions:

Lifestyle intervention in obese women can reduce hsCRP representing a marker of inflammation during pregnancy. The effect may partly be mediated by more physical activity and partly by changes in intake of carbohydrates and the glycaemic load.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Figure 1

Similar content being viewed by others

References

  1. Nelson SM, Matthews P, Poston L . Maternal metabolism and obesity: modifiable determinants of pregnancy outcome. Hum Reprod Update 2010; 16: 255–275.

    Article  Google Scholar 

  2. Ovesen P, Rasmussen S, Kesmodel U . Effect of prepregnancy maternal overweight and obesity on pregnancy outcome. Obstet Gynecol 2011; 118 (2 Pt 1): 305–312.

    Article  Google Scholar 

  3. Catalano PM, Ehrenberg HM . The short- and long-term implications of maternal obesity on the mother and her offspring. BJOG 2006; 113: 1126–1133.

    Article  CAS  Google Scholar 

  4. Schellong K, Schulz S, Harder T, Plagemann A . Birth weight and long-term overweight risk: systematic review and a meta-analysis including 643,902 persons from 66 studies and 26 countries globally. PLoS ONE 2012; 7: e47776.

    Article  CAS  Google Scholar 

  5. Huda SS, Brodie LE, Sattar N . Obesity in pregnancy: prevalence and metabolic consequences. Semin Fetal Neonatal Med 2010; 15: 70–76.

    Article  Google Scholar 

  6. Metzger BE, Lowe LP, Dyer AR, Trimble ER, Chaovarindr U, Coustan DR et al. Hyperglycemia and adverse pregnancy outcomes. N Engl J Med 2008; 358: 1991–2002.

    Article  Google Scholar 

  7. Neeland IJ, Turer AT, Ayers CR, Powell-Wiley TM, Vega GL, Farzaneh-Far R et al. Dysfunctional adiposity and the risk of prediabetes and type 2 diabetes in obese adults. JAMA 2012; 308: 1150–1159.

    Article  CAS  Google Scholar 

  8. Ramsay JE, Ferrell WR, Crawford L, Wallace AM, Greer IA, Sattar N . Maternal obesity is associated with dysregulation of metabolic, vascular, and inflammatory pathways. J Clin Endocrinol Metab 2002; 87: 4231–4237.

    Article  CAS  Google Scholar 

  9. Considine RV, Sinha MK, Heiman ML, Kriauciunas A, Stephens TW, Nyce MR et al. Serum immunoreactive-leptin concentrations in normal-weight and obese humans. N Engl J Med 1996; 334: 292–295.

    Article  CAS  Google Scholar 

  10. Stewart FM, Freeman DJ, Ramsay JE, Greer IA, Caslake M, Ferrell WR . Longitudinal assessment of maternal endothelial function and markers of inflammation and placental function throughout pregnancy in lean and obese mothers. J Clin Endocrinol Metab 2007; 92: 969–975.

    Article  CAS  Google Scholar 

  11. Haupt TH, Kallemose T, Ladelund S, Rasmussen LJ, Thorball CW, Andersen O et al. Risk factors associated with serum levels of the inflammatory biomarker soluble urokinase plasminogen activator receptor in a general population. Biomark Insights 2014; 9: 91–100.

    Article  CAS  Google Scholar 

  12. Toldi G, Biro E, Szalay B, Stenczer B, Molvarec A, Rigo J et al. Soluble urokinase plasminogen activator receptor (suPAR) levels in healthy pregnancy and preeclampsia. Clin Chem Lab Med 2011; 49: 1873–1876.

    Article  CAS  Google Scholar 

  13. Haedersdal S, Salvig JD, Aabye M, Thorball CW, Ruhwald M, Ladelund S et al. Inflammatory markers in the second trimester prior to clinical onset of preeclampsia, intrauterine growth restriction, and spontaneous preterm birth. Inflammation 2013; 36: 907–913.

    Article  CAS  Google Scholar 

  14. Lyngbaek S, Sehestedt T, Marott JL, Hansen TW, Olsen MH, Andersen O et al. CRP and suPAR are differently related to anthropometry and subclinical organ damage. Int J Cardiol 2013; 167: 781–785.

    Article  Google Scholar 

  15. Hodges GW, Bang CN, Wachtell K, Eugen-Olsen J, Jeppesen JL . suPAR: a new biomarker for cardiovascular disease? Can J Cardiol 2015; 31: 1293–1302.

    Article  Google Scholar 

  16. El Khouly NI, Sanad ZF, Saleh SA, Shabana AA, Elhalaby AF, Badr EE . Value of first-trimester serum lipid profile in early prediction of preeclampsia and its severity: a prospective cohort study. Hypertens Pregnancy 2016; 35: 73–81.

    Article  CAS  Google Scholar 

  17. Spracklen CN, Smith CJ, Saftlas AF, Robinson JG, Ryckman KK . Maternal hyperlipidemia and the risk of preeclampsia: a meta-analysis. Am J Epidemiol 2014; 180: 346–358.

    Article  Google Scholar 

  18. Thangaratinam S, Rogozinska E, Jolly K, Glinkowski S, Roseboom T, Tomlinson JW et al. Effects of interventions in pregnancy on maternal weight and obstetric outcomes: meta-analysis of randomised evidence. BMJ 2012; 344: e2088.

    Article  CAS  Google Scholar 

  19. Moses RG, Luebcke M, Davis WS, Coleman KJ, Tapsell LC, Petocz P et al. Effect of a low-glycemic-index diet during pregnancy on obstetric outcomes. Am J Clin Nutr 2006; 84: 807–812.

    Article  CAS  Google Scholar 

  20. Poston L, Bell R, Croker H, Flynn AC, Godfrey KM, Goff L et al. Effect of a behavioural intervention in obese pregnant women (the UPBEAT study): a multicentre, randomised controlled trial. Lancet Diabetes Endocrinol 2015; 3: 767–777.

    Article  Google Scholar 

  21. Vinter CA, Jensen DM, Ovesen P, Beck-Nielsen H, Jorgensen JS . The LiP (Lifestyle in Pregnancy) Study: a randomized controlled trial of lifestyle intervention in 360 obese pregnant women. Diabetes Care 2011; 34: 2502–2507.

    Article  Google Scholar 

  22. Walsh JM, McGowan CA, Mahony R, Foley ME, McAuliffe FM . Low glycaemic index diet in pregnancy to prevent macrosomia (ROLO study): randomised control trial. BMJ 2012; 345: e5605.

    Article  Google Scholar 

  23. Renault KM, Norgaard K, Nilas L, Carlsen EM, Cortes D, Pryds O et al. The Treatment of Obese Pregnant Women (TOP) study: a randomized controlled trial of the effect of physical activity intervention assessed by pedometer with or without dietary intervention in obese pregnant women. Am J Obstet Gynecol 2014; 210: 134–139.

    Article  Google Scholar 

  24. Olsen S, Dragsted L, Hansen H, Milman N, Ovesen L, Michaelsen K et al Scientific evidence underpinning dietary recommendations in connection with pregnancy Ernæringsrådet. Danish National Nutrition Council: Søborg, Denmark, 2005. Report No. 38..

  25. Renault K, Norgaard K, Andreasen KR, Secher NJ, Nilas L . Physical activity during pregnancy in obese and normal-weight women as assessed by pedometer. Acta Obstet Gynecol Scand 2010; 89: 956–961.

    Article  Google Scholar 

  26. Olsen SF, Mikkelsen TB, Knudsen VK, Orozova-Bekkevold I, Halldorsson TI, Strom M et al. Data collected on maternal dietary exposures in the Danish National Birth Cohort. Paediatr Perinat Epidemiol 2007; 21: 76–86.

    Article  Google Scholar 

  27. Mikkelsen TB, Osler M, Olsen SF . Validity of protein, retinol, folic acid and n-3 fatty acid intakes estimated from the food-frequency questionnaire used in the Danish National Birth Cohort. Public Health Nutr 2006; 9: 771–778.

    PubMed  Google Scholar 

  28. Volund A . Conversion of insulin units to SI units. Am J Clin Nutr 1993; 58: 714–715.

    Article  CAS  Google Scholar 

  29. Khoury J, Henriksen T, Christophersen B, Tonstad S . Effect of a cholesterol-lowering diet on maternal, cord, and neonatal lipids, and pregnancy outcome: a randomized clinical trial. Am J Obstet Gynecol 2005; 193: 1292–1301.

    Article  CAS  Google Scholar 

  30. Renault KM, Carlsen EM, Norgaard K, Nilas L, Pryds O, Secher NJ et al. Intake of Sweets, Snacks and Soft Drinks Predicts Weight Gain in Obese Pregnant Women: Detailed Analysis of the Results of a Randomised Controlled Trial. PLoS ONE 2015; 10: e0133041.

    Article  Google Scholar 

  31. Esmaillzadeh A, Kimiagar M, Mehrabi Y, Azadbakht L, Hu FB, Willett WC . Fruit and vegetable intakes, C-reactive protein, and the metabolic syndrome. Am J Clin Nutr 2006; 84: 1489–1497.

    Article  CAS  Google Scholar 

  32. Esposito K, Marfella R, Ciotola M, Di PC, Giugliano F, Giugliano G et al. Effect of a mediterranean-style diet on endothelial dysfunction and markers of vascular inflammation in the metabolic syndrome: a randomized trial. JAMA 2004; 292: 1440–1446.

    Article  CAS  Google Scholar 

  33. Buyken AE, Goletzke J, Joslowski G, Felbick A, Cheng G, Herder C et al. Association between carbohydrate quality and inflammatory markers: systematic review of observational and interventional studies. Am J Clin Nutr 2014; 99: 813–833.

    Article  CAS  Google Scholar 

  34. Hammonds TL, Gathright EC, Goldstein CM, Penn MS, Hughes JW . Effects of exercise on c-reactive protein in healthy patients and in patients with heart disease: A meta-analysis. Heart Lung 2016; 45: 273–282.

    Article  Google Scholar 

  35. Scholl TO, Chen X, Goldberg GS, Khusial PR, Stein TP . Maternal diet, C-reactive protein, and the outcome of pregnancy. J Am Coll Nutr 2011; 30: 233–240.

    Article  CAS  Google Scholar 

  36. Syngelaki A, Visser GH, Krithinakis K, Wright A, Nicolaides KH . First trimester screening for gestational diabetes mellitus by maternal factors and markers of inflammation. Metabolism 2016; 65: 131–137.

    Article  CAS  Google Scholar 

  37. Danielsen I, Granstrom C, Haldorsson T, Rytter D, Hammer BB, Henriksen TB et al. Dietary glycemic index during pregnancy is associated with biomarkers of the metabolic syndrome in offspring at age 20 years. PLoS ONE 2013; 8: e64887.

    Article  CAS  Google Scholar 

  38. Sen S, Rifas-Shiman SL, Shivappa N, Wirth MD, Hebert JR, Gold DR et al. Dietary inflammatory potential during pregnancy is associated with lower fetal growth and breastfeeding failure: results from project viva. J Nutr 2016; 146: 728–736.

    Article  CAS  Google Scholar 

  39. Lowe LP, Metzger BE, Lowe WL Jr., Dyer AR, McDade TW, McIntyre HD . Inflammatory mediators and glucose in pregnancy: results from a subset of the Hyperglycemia and Adverse Pregnancy Outcome (HAPO) Study. J Clin Endocrinol Metab 2010; 95: 5427–5434.

    Article  CAS  Google Scholar 

  40. Retnakaran R, Ye C, Hanley AJ, Connelly PW, Sermer M, Zinman B et al. Effect of maternal weight, adipokines, glucose intolerance and lipids on infant birth weight among women without gestational diabetes mellitus. CMAJ 2012; 184: 1353–1360.

    Article  Google Scholar 

  41. Dodd JM, Turnbull D, McPhee AJ, Deussen AR, Grivell RM, Yelland LN et al. Antenatal lifestyle advice for women who are overweight or obese: LIMIT randomised trial. BMJ 2014; 348: g1285.

    Article  Google Scholar 

  42. Oostdam N, van Poppel MN, Wouters MG, Eekhoff EM, Bekedam DJ, Kuchenbecker WK et al. No effect of the FitFor2 exercise programme on blood glucose, insulin sensitivity, and birthweight in pregnant women who were overweight and at risk for gestational diabetes: results of a randomised controlled trial. BJOG 2012; 119: 1098–1107.

    Article  CAS  Google Scholar 

  43. Walsh JM, Mahony RM, Culliton M, Foley ME, McAuliffe FM . Impact of a low glycemic index diet in pregnancy on markers of maternal and fetal metabolism and inflammation. Reprod Sci 2014; 21: 1378–1381.

    Article  Google Scholar 

  44. Wolff S, Legarth J, Vangsgaard K, Toubro S, Astrup A . A randomized trial of the effects of dietary counseling on gestational weight gain and glucose metabolism in obese pregnant women. Int J Obes (Lond) 2008; 32: 495–501.

    Article  CAS  Google Scholar 

  45. Vinter CA, Jorgensen JS, Ovesen P, Beck-Nielsen H, Skytthe A, Jensen DM . Metabolic effects of lifestyle intervention in obese pregnant women. Results from the randomized controlled trial 'Lifestyle in Pregnancy' (LiP). Diabet Med 2014; 31: 1323–1330.

    Article  CAS  Google Scholar 

  46. Ray JG, Diamond P, Singh G, Bell CM . Brief overview of maternal triglycerides as a risk factor for pre-eclampsia. BJOG 2006; 113: 379–386.

    Article  CAS  Google Scholar 

  47. Catalano P, deMouzon SH . Maternal obesity and metabolic risk to the offspring: why lifestyle interventions may have not achieved the desired outcomes. Int J Obes (Lond) 2015; 39: 642–649.

    Article  CAS  Google Scholar 

Download references

Acknowledgements

‘Sygekassernes Helsefond’, ‘Brødrene Hartmann Fonden’, and the Danish Council for Strategic Research (09-067124, Centre for Fetal Programming) supported this research.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to K M Renault.

Ethics declarations

Competing interests

The authors declare no conflict of interest.

Additional information

Supplementary Information accompanies this paper on International Journal of Obesity website

Supplementary information

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Renault, K., Carlsen, E., Hædersdal, S. et al. Impact of lifestyle intervention for obese women during pregnancy on maternal metabolic and inflammatory markers. Int J Obes 41, 598–605 (2017). https://doi.org/10.1038/ijo.2017.9

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/ijo.2017.9

This article is cited by

Search

Quick links