Early Second Trimester Weight Gain in Obese Women Predicts Excessive Gestational Weight Gain in Pregnancy

2015 ◽  
Vol 19 (11) ◽  
pp. 2412-2418 ◽  
Author(s):  
Rachael T. Overcash ◽  
Andrew D. Hull ◽  
Thomas R. Moore ◽  
D. Yvette LaCoursiere
Keyword(s):  
Weight Gain ◽  
Gestational Weight Gain ◽  
Second Trimester ◽  
Obese Women ◽  
Gestational Weight ◽  
Excessive Gestational Weight Gain ◽  
In Pregnancy

scholarly journals Reducing Excessive Gestational Weight Gain: Lessons from the Weight Control Literature and Avenues for Future Research

2011 ◽  
Vol 7 (6) ◽  
pp. 641-661 ◽  
Author(s):  
Suzanne Phelan ◽  
Kris Jankovitz ◽  
Todd Hagobian ◽  
Barbara Abrams
Keyword(s):  
Weight Gain ◽  
Gestational Weight Gain ◽  
Weight Control ◽  
Future Research ◽  
Self Monitoring ◽  
Gestational Weight ◽  
Excessive Gestational Weight Gain ◽  
Daily Diet ◽  
Potential Applications ◽  
In Pregnancy

Excessive gestational weight gain is a prevalent problem and an independent predictor of future obesity in both mothers and offspring. Intervention research to prevent excessive gestational weight gain is still in its infancy but results to date have been quite modest. Research in weight control outside of pregnancy over the past 30 years has been more robust and identified several key components of effective programs, including use of caloric restriction, daily diet self-monitoring, self-weighing, behavior therapy and ongoing patient–provider contact. The aim of this article is to summarize intervention components shown to be effective in promoting successful weight control outside of pregnancy and explore potential applications in pregnancy. Available evidence suggests that the strategies shown to be effective for weight control outside of pregnancy may also promote better weight control in pregnancy, but several lines for future investigation remain.

scholarly journals Evaluation of an activity monitor for use in pregnancy to help reduce excessive gestational weight gain

2018 ◽  
Vol 18 (1) ◽  
Author(s):  
Paul M. C. Lemmens ◽  
Francesco Sartor ◽  
Lieke G. E. Cox ◽  
Sebastiaan V. den Boer ◽  
Joyce H. D. M. Westerink
Keyword(s):  
Weight Gain ◽  
Gestational Weight Gain ◽  
Activity Monitor ◽  
Gestational Weight ◽  
Excessive Gestational Weight Gain ◽  
In Pregnancy

scholarly journals Excessive gestational weight gain in the first trimester is associated with risk of gestational diabetes mellitus: a prospective study from Southwest China

2019 ◽  
Vol 23 (3) ◽  
pp. 394-401 ◽  
Author(s):  
Xi Lan ◽  
Yi-qi Zhang ◽  
Hong-li Dong ◽  
Ju Zhang ◽  
Feng-ming Zhou ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Weight Gain ◽  
Gestational Weight Gain ◽  
Southwest China ◽  
First Trimester ◽  
Normal Weight ◽  
Second Trimester ◽  
Obese Women ◽  
Gestational Weight ◽  
Iom Recommendations

AbstractObjective:To evaluate the effects of gestational weight gain (GWG) in the first trimester (GWG-F) and the rate of gestational weight gain in the second trimester (RGWG-S) on gestational diabetes mellitus (GDM), exploring the optimal GWG ranges for the avoidance of GDM in Chinese women.Design:A population-based prospective study was conducted. Gestational weight was measured regularly in every antenatal visit and assessed by the Institute of Medicine (IOM) criteria (2009). GDM was assessed with the 75-g, 2-h oral glucose tolerance test at 24–28 weeks of gestation. Multivariable logistic regression was performed to assess the effects of GWG-F and RGWG-S on GDM, stratified by pre-pregnancy BMI. In each BMI category, the GWG values corresponding to the lowest prevalence of GDM were defined as the optimal GWG range.Setting:Southwest China.Participants:Pregnant women (n 1910) in 2017.Results:After adjusting for confounders, GWG-F above IOM recommendations increased the risk of GDM (OR; 95 % CI) among underweight (2·500; 1·106, 5·655), normal-weight (1·396; 1·023, 1·906) and overweight/obese women (3·017; 1·118, 8·138) compared with women within IOM recommendations. No significant difference was observed between RGWG-S and GDM (P > 0·05) after adjusting for GWG-F based on the previous model. The optimal GWG-F ranges for the avoidance of GDM were 0·8–1·2, 0·8–1·2 and 0·35–0·70 kg for underweight, normal-weight and overweight/obese women, respectively.Conclusions:Excessive GWG in the first trimester, rather than the second trimester, is associated with increased risk of GDM regardless of pre-pregnancy BMI. Obstetricians should provide more pre-emptive guidance in achieving adequate GWG-F.

Identification of Problems and Needs When Designing an mHealth App for Overweight and Obese Pregnant Women to Prevent Excessive Gestational Weight Gain: A Focus Group Study (Preprint)

2020 ◽  
Author(s):  
Ching-Fang Lee ◽  
Li-Kang Chi ◽  
Jian-Pei Huang ◽  
Chen-Ju Lin
Keyword(s):  
Weight Gain ◽  
Focus Group ◽  
Pregnant Women ◽  
Gestational Weight Gain ◽  
Healthcare Providers ◽  
Adverse Outcomes ◽  
Obese Women ◽  
Focus Group Study ◽  
Gestational Weight ◽  
Excessive Gestational Weight Gain

BACKGROUND Overweight and obese women tend to gain excessive weight and have adverse outcomes during pregnancy. Despite the increasing number of health-related apps, there is still a lack of a user-based app to help prevent excessive gestational weight gain (GWG) and extend the longevity of the changes in behavior needed to maintain a woman’s optimal weight during pregnancy. OBJECTIVE The aim of this study was to identify the problems and needs for designing an mHealth app for obese and overweight pregnant women that they can continue to use to control their GWG. METHODS We used a qualitative interpretive approach and analytical induction to present the findings of three focus group sessions involving 13 overweight and obese pregnant women in Taipei, Taiwan. This study was conducted from July to October 2019. RESULTS Five problems and 10 needs were identified related to the use of an app to control overweight and obese women’s GWG. These problems were 1) an information gap, 2) a lack of support, 3) perceived complications of using the app(s), 4) easily forgetting the app(s), and 5) low motivation. The 10 main needs were 1) prenatal examination, 2) credible information, 3) short and easily understandable information, 4) a network community of peer support, 5) feedback from and interaction with healthcare providers, 6) a convenient and user-friendly interface, 7) goal-setting, 8) evaluation and tracking, 9) reminders, and 10) incentives for systematic celebrations and rewarding success. CONCLUSIONS The results of this study will help in the development of a user-based app that serves as a guide based on evidenced and informative practices. CLINICALTRIAL No

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