Excess weight gain during pregnancy leads to significant long-term metabolic morbidities in mothers and their offspring. More than 50% of reproductive age women in the US exceed weight gain guidelines during pregnancy as recommended by the Institute of Medicine. Lifestyle modification programs targeting healthy eating and regular physical activity are successful in controlling weight gain as well as preventing obesity related co-morbidities in other at risk populations. However few lifestyle intervention studies have been conducted in pregnant women to manage gestational weight gain and none were successful in helping women adhere to the guidelines. Although pregnant women are believed to be a highly motivated population for accepting behavior change, they face several barriers to traditional in-person clinic weight management programs. We have successfully implemented lifestyle interventions for weight management through Tele-health technologies (Smartphone) to overweight and obese individuals and these are readily adaptable to pregnant women. Application of Tele-health technologies to pregnant women may therefore successfully address these barriers and facilitate appropriate weight gain during pregnancy. The objective of this study "Expecting Success: Personalized weight management during pregnancy" is to implement a personalized gestational weight management program to overweight and obese pregnant women that focuses on healthy eating and achieving National physical activity recommendations. 300 primiparous overweight and obese women will be randomly assigned to receive either usual care or a personalized lifestyle program for weight management delivered in-person or remotely via a Smartphone. The lifestyle program involves weekly contact with counselors from week 13 of gestation until delivery. Clinical assessments will be obtained throughout pregnancy and in the mother and offspring during the first year postpartum. This study is significant because it seeks to prevent excess weight gain during pregnancy, a major health problem for pregnant women and their offspring. If successful, our Smartphone approach will provide a novel, efficacious and scalable intervention for weight management in pregnant women.

Public Health Relevance

Efforts to manage gestational weight gain in overweight and obese pregnant women have not been successful to date. In response a revised report from the lOM in 2009, the NIH is sponsoring lifestyle studies in overweight and obese pregnant women to promote appropriate weight gain during pregnancy and to investigate the effect of gestational weight gain on health indicators in mothers and their offspring.

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Research Project--Cooperative Agreements (U01)
Project #
5U01DK094418-04
Application #
8732625
Study Section
Special Emphasis Panel (ZDK1-GRB-N (O1))
Program Officer
Evans, Mary
Project Start
2011-09-19
Project End
2016-08-31
Budget Start
2014-09-01
Budget End
2015-08-31
Support Year
4
Fiscal Year
2014
Total Cost
$402,927
Indirect Cost
$125,659
Name
Lsu Pennington Biomedical Research Center
Department
None
Type
Organized Research Units
DUNS #
611012324
City
Baton Rouge
State
LA
Country
United States
Zip Code
70808
Gilmore, L Anne; Redman, Leanne M (2015) Weight gain in pregnancy and application of the 2009 IOM guidelines: toward a uniform approach. Obesity (Silver Spring) 23:507-11
Heymsfield, S B; Gonzalez, M C C; Shen, W et al. (2014) Weight loss composition is one-fourth fat-free mass: a critical review and critique of this widely cited rule. Obes Rev 15:310-21
Thomas, Diana M; Martin, Corby K; Redman, Leanne M et al. (2014) Effect of dietary adherence on the body weight plateau: a mathematical model incorporating intermittent compliance with energy intake prescription. Am J Clin Nutr 100:787-95
Gilmore, L Anne; Ravussin, Eric; Bray, George A et al. (2014) An objective estimate of energy intake during weight gain using the intake-balance method. Am J Clin Nutr 100:806-12
Thomas, Diana M; Gonzalez, M Cristina; Pereira, Andrea Z et al. (2014) Time to correctly predict the amount of weight loss with dieting. J Acad Nutr Diet 114:857-61
Katzmarzyk, P T; Barlow, S; Bouchard, C et al. (2014) An evolving scientific basis for the prevention and treatment of pediatric obesity. Int J Obes (Lond) 38:887-905
Thomas, Diana M; Weedermann, Marion; Fuemmeler, Bernard F et al. (2014) Dynamic model predicting overweight, obesity, and extreme obesity prevalence trends. Obesity (Silver Spring) 22:590-7
Thomas, D M (2013) Modeling in clinical nutrition: does it add to patient care? Eur J Clin Nutr 67:555-7
Tam, Charmaine S; Xie, Wenting; Johnson, William D et al. (2012) Defining insulin resistance from hyperinsulinemic-euglycemic clamps. Diabetes Care 35:1605-10