Association between consistent weight gain tracking and gestational weight gain: Secondary analysis of a randomized trial

Olson, Christine M.; Strawderman, Myla; Graham, Meredith L.

doi:10.1002/oby.21873

Cited by 16 publications

(15 citation statements)

References 26 publications

(39 reference statements)

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“…In the postpartum phase given the well-documented value of self-monitoring in weight management studies. 41,42 Positive overall feedback on self-monitoring, including perceived helpfulness and ease of using the tracking app may have contributed to these high tracking rates. The finding that 73% (n = 8) of participants tracked their exercise less than 30% of the recommended days, 45% (n = 5) of whom tracked 10% of these days or less, may be a reflection of the barriers that pregnant women face (e.g., physical discomfort, fatigue, soreness; body image issues; concern about injury).…”

Section: Discussionmentioning

confidence: 99%

Feasibility and acceptability of a remotely‐delivered behavioural health coaching intervention to limit gestational weight gain

Coughlin

Martin

Henderson

et al. 2020

Obesity Science & Practice

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Introduction: Gestational weight gain (GWG) and postpartum weight retention (PPWR) are significant, potentially modifiable, contributors to women's future weight and health trajectories. There is a need for feasible and patient-centered (i.e., convenient, remotely-delivered, technology-enhanced, and accessible through the prenatal care setting) behavioural interventions that limit GWG and PPWR. This study tests the feasibility and acceptability of a remotely-delivered behavioural health coaching intervention to limit gestational weight gain and postpartum weight retention. Methods: Pregnant women (11-16 weeks gestation) were recruited from two prenatal clinics and randomized to the active intervention or health education comparison group. Completion of the program was monitored and perceived helpfulness was rated (0-100). Results: Twenty-six women were randomized (n = 13 per arm; mean age = 31.6 years, SD = 3.6; mean BMI = 26.7 kg/m 2 , SD = 7.4). Participants completed a median of 18 coaching calls and 16/19 learning activities during pregnancy, and a median of 6 calls and 5/6 learning activities postpartum. They logged weights at least once/week for a median of 36/38 expected weeks and tracked daily calories and exercise for a median of 154/266 days and 72/266 days, respectively. Median (Q1, Q3) helpfulness ratings of the program during pregnancy were 80 (64, 91) and 62 (50, 81) postpartum; helpfulness ratings of coaching calls were 85 (58, 98). At 37 weeks gestation, 77% of participants achieved IOM weight gain recommendations compared to 54% in the comparison group. Conclusions: This study provides evidence for the feasibility and acceptability of a remotely-delivered behavioural weight control intervention in pregnancy and postpartum.

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Section: Discussionmentioning

confidence: 99%

Feasibility and acceptability of a remotely‐delivered behavioural health coaching intervention to limit gestational weight gain

Coughlin

Martin

Henderson

et al. 2020

Obesity Science & Practice

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“…In addition, 135 of the 1126 women in the intervention group (12%) only viewed placebo control content, essentially self-assigning themselves to the control group. The weight gain tracker was the most widely used behavior change tool with 70% of intervention arm women using the tool at least once [ 14 ] and 27.3% using it consistently across pregnancy [ 27 ]. In an analysis of usage of intervention website features, using the weight gain tracker consistently across pregnancy was associated with a reduction in the proportion of women with excessive total and weekly GWG and mean total GWG among not-low income women [ 27 , 28 ].…”

Section: Discussionmentioning

confidence: 99%

The effectiveness of an online intervention in preventing excessive gestational weight gain: the e-moms roc randomized controlled trial

Olson

Groth

Graham

et al. 2018

BMC Pregnancy Childbirth

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BackgroundExcessive gestational weight gain (GWG) is common and contributes to the development of obesity in women and their offspring. Electronic or e-health interventions have the potential to reach large groups of women and prevent excessive GWG, but their effectiveness has not been demonstrated. The purpose of this study was to evaluate, in a real-world setting, the effectiveness of a self-directed, integrated online and mobile phone behavioral intervention in preventing excessive GWG.MethodsThis effectiveness trial was a double-blind, three-arm trial with a parallel group design. Two arms received the same e-health intervention during pregnancy with the third arm serving as the placebo control. The intervention was based on a previously efficacious non-digital intervention that was adapted to electronic format. It included three behavior change tools: a weight gain tracker, and separate diet and physical activity goal-setting and self-monitoring tools. Both treatment conditions received access to informational tools, event reminders, and a blogging feature. Healthy pregnant women age 18-35 years with body mass indexes (BMI) ≥18.5 and < 35, at ≤20 weeks gestation, and an e-mail address were eligible. The proportion of women with excessive total GWG, as defined by the Institute of Medicine (IOM), was the primary outcome. 1689 randomized women were analyzed in the intent-to-treat (ITT) analysis. The study was designed to have 87% power to detect a 10 percentage point reduction from a control rate of 55% with a sample of 1641 (p = 0.0167, two-sided).ResultsIn the ITT sample, 48.1% (SD = 2.0%) gained excessively in the intervention group as did 46.2% (SD = 2.4%) in the placebo control group. These proportions were not significantly different (RR 1.09; 95% CI 0.98, 1.20, p = 0.12). The results were not altered in several sensitivity analyses.ConclusionThe addition of three behavior change tools to an informational placebo control did not result in a difference in the proportion of women with excessive total GWG compared to the placebo control in this effectiveness trial of an online, self-directed intervention. The similarity of intervention and control treatments and low usage of the behavior change tools in the intervention group are possible explanations.Trial registrationNCT01331564, ClinicalTrials.gov.Electronic supplementary materialThe online version of this article (10.1186/s12884-018-1767-4) contains supplementary material, which is available to authorized users.

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“…In 2014, Lindberg and Anderson developed a best practice alert based on prepregnancy BMI that included an individualized total weight gain recommendation, weekly weight gain goals, a script for prenatal care provider counseling, a template for documentation, and a patient handout, improving the consistency and accuracy of counseling . A recent study tested the effectiveness of an online and mobile phone application providing personalized GWG tracking information, as well as a diet and physical activity goal setting tool . Results indicated that Medicaid‐eligible participants were significantly less likely to consistently participate.…”

Section: Preventative Measuresmentioning

confidence: 99%

“…Results indicated that Medicaid‐eligible participants were significantly less likely to consistently participate. Among women without low incomes, consistent use of the program was associated with a reduced risk of excessive GWG (RR, 0.73; 95% CI, 0.59‐0.89; P = .002) and with 2.35 kg less GWG on average (95% CI, −3.23 to −1.46; P < .0001) . Appropriate use of technology may offer women and prenatal care providers additional tools to help meet GWG recommendations for women who are able to use these resources.…”

Section: Preventative Measuresmentioning

confidence: 99%

Excessive Gestational Weight Gain

McDowell¹,

Cain²,

Brumley³

2018

J Midwife Womens Health

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Excessive gestational weight gain (GWG) is associated with an increasing incidence of maternal and neonatal complications, including hypertensive disorders of pregnancy, fetal macrosomia, and increased cesarean birth rates. In the United States, it is recommended that health care providers use an individualized approach to counsel a woman about pregnancy weight gain goals that is based on the woman's initial body mass index (BMI) and to track GWG throughout the pregnancy by evaluating maternal weight at each visit. Studies have shown that women entering pregnancy with a higher BMI are at increased risk for excessive GWG and postpartum weight retention. Research also demonstrates an increased risk of childhood obesity in children born to women with excessive GWG. Specific counseling about exercise and diet, as well as technology and motivational interviewing, are some tools prenatal care providers can use that have been shown to be effective in reducing excessive GWG. This article reviews the current research regarding maternal and neonatal risks associated with excessive GWG, as well as the interventions that have demonstrated promise for addressing this problem.

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Association between consistent weight gain tracking and gestational weight gain: Secondary analysis of a randomized trial

Cited by 16 publications

References 26 publications

Feasibility and acceptability of a remotely‐delivered behavioural health coaching intervention to limit gestational weight gain

Feasibility and acceptability of a remotely‐delivered behavioural health coaching intervention to limit gestational weight gain

The effectiveness of an online intervention in preventing excessive gestational weight gain: the e-moms roc randomized controlled trial

Excessive Gestational Weight Gain

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