Factors associated with early gestational weight gain among women with pre-pregnancy overweight or obesity

Emery, Rebecca L.; Benno, Maria Tina; Conlon, Rachel P. Kolko; Marcus, Marsha D.; Levine, Michele D.

doi:10.1080/01443615.2020.1803242

Cited by 6 publications

(4 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Bacchi and coworkers suggested that prepregnancy physical activity and related factors could predict physical activity during pregnancy (Bacchi et al, 2016), which may influence GWG. Similar findings of weight gain related to physical activity level were found in a survey study with 247 overweight and obese women (Emery et al, 2021). Greene et al (Greene et al, 2021) also found that women with a higher BMI enjoyed the weight app more.…”

Section: Discussionsupporting

confidence: 85%

Effectiveness of a nurse‐led mHealth app to prevent excessive gestational weight gain among overweight and obese women: A randomized controlled trial

Chen

Lee

Huang

et al. 2022

J of Nursing Scholarship

View full text Add to dashboard Cite

Objective: To explore the effectiveness of a nurse-led mobile health (mHealth) intervention to prevent excessive gestational weight gain (GWG) in overweight and obese women.Methods: A randomized controlled trial with an experimental study design. Ninetytwo pregnant women with body mass index (BMI) ≥25 kg/m 2 at less than 17 weeks gestation were recruited from two prenatal clinics in northern Taiwan from January to June 2020. The experimental group used the MyHealthyWeight (MHW) app and a wearable activity tracker (WAT), and the controls received standard antenatal treatments with no mHealth-based elements. Two hospital follow-up visits were scheduled at 24-26 weeks in the second trimester and 34-36 weeks in the third trimester.A generalized estimating equation (GEE) was used to examine the trajectories and the effectiveness of mHealth on GWG.Results: No difference in GWG was found between the intervention and control groups at baseline (p > 0.05). The GWG trajectory in the entire cohort of women with obesity exhibited a quadratic pattern (ß = 1.8, 95% confidence interval [CI] = 1.27-2.32), and intervention participants' weekly GWG was gained significantly lower than their controls in the second trimester (p < 0.05). Throughout the pregnancy, the mHealth intervention group had a significantly lower proportion of individuals who exceeded their GWG in both total (21.6% vs. 32.6%) and weekly weight gain (first trimester = 58.7% vs. 65.2%; second trimester = 45% vs. 67.4%; third trimester = 48.6% vs. 55.1%). In particular, among obese women in the third trimester, those in the intervention group gained less gestational weight than their controls. The adjusted body weight difference was 5.44 kg (p = 0.023), signifying the total GWG difference (3.30 vs. 8.74 kg) between the means of the two groups. The GEE model indicated that obese women who were aged 35 years, had prepregnancy exercise habits, perceived self-efficacy of diet, and more physical activity tended to have low GWG (p < 0.05). Conclusions:The nurse-led mHealth-based intervention shows promising results in significantly preventing excessive GWG among high-BMI women. More effectiveness was found among the obese subgroup.

show abstract

Section: Discussionsupporting

confidence: 85%

Effectiveness of a nurse‐led mHealth app to prevent excessive gestational weight gain among overweight and obese women: A randomized controlled trial

Chen

Lee

Huang

et al. 2022

J of Nursing Scholarship

View full text Add to dashboard Cite

show abstract

“…Pregnant women who were obese before becoming pregnant are at risk of having less knowledge about recommendations for weight gain during pregnancy. They can also report incorrect information from the provider 19 . Based on a 2014 national survey in the United States, pregnant women were less likely to receive counseling about weight management than nonpregnant women.…”

Section: Findingmentioning

confidence: 99%

Perspectives of Pregnant Women and Antenatal Service Providers Regarding Gestational Weight Gain and Nutritional Needs: Systematic Review

Rahmawati,

Kurniawati,

Wibowo

et al. 2023

AMNT

View full text Add to dashboard Cite

Background: Gestational weight gain that does not follow the standards can cause long-term problems for maternal and fetal outcomes. Research has found that most pregnant women cannot achieve gestational weight gain according to health standards. Objectives: This review explores the perspectives of pregnant women and antenatal care providers regarding gestational weight gain and nutritional needs. Methods: A systematic review follows the PRISMA guidelines. Several databases were accessed, namely PubMed, Google Scholar, and ScienceDirect databases, using a combination of the following Medical Subject Heading terms and relevant keywords. The inclusion criteria applied were studies written in English, evaluating the relevant topics, providing full text, and the study was published starting in 2019-2023. Results: A total of 12 articles were reviewed. Respondents were midwives, family doctors, obstetricians, health trainers, administrative officers, and pregnant and postpartum women. The nutritional status of pregnant women studied included normal and obese pregnant women. Obstacles encountered in counseling are patient attitudes, sociocultural issues (sensitive issues), accessibility of resources, and lack of communication training with patients and across professions. Sociocultural, economic status, and interpersonal factors such as social support influence patient beliefs, attitudes, and experiences. Patients may remember their positive experiences in health facilities, but there is also a fear of discrimination they face. Conclusions: This study finds the need for training in counseling and cross-professional communication techniques to health service providers regarding gestational weight gain. Appropriate counseling increases patient comfort during pregnancy and prevents adverse effects that arise during and after pregnancy.

show abstract

“…Many risk factors for higher pre-pregnancy BMI (e.g., older age) are either not associated with excess GWG or show an inverse association [ 7 , 8 ]. One of the few strong and consistent predictors of high GWG (above medical recommendations [ 7 ]) is pre-pregnancy overweight or obesity [ 9 , 10 ]. However, this is largely an artifact of the GWG recommendations themselves, which are set lower for people with higher pre-pregnancy body weights (e.g., for those defined as having obesity prior to pregnancy, the IOM recommends GWG of 11–20 pounds, versus 25–35 pounds in those defined as having normal pre-pregnancy weight [ 7 ]).…”

Section: Introductionmentioning

confidence: 99%

Cohort profile: Life-course experiences and pregnancy (LEAP)–A retrospective pregnancy cohort for life-course reproductive health research

Mason,

Farkas,

Friedman

et al. 2024

PLoS ONE

View full text Add to dashboard Cite

Background Life course factors may be associated with pre-pregnancy body mass index and gestational weight gain; however, collecting information on pre-pregnancy exposures and pregnancy health in the same cohort is challenging. Objectives The Life-course Experiences And Pregnancy (LEAP) study aims to identify adolescent and young adult risk factors for pre-pregnancy weight and gestational weight gain (GWG). We built upon an existing cohort study to overcome challenges inherent to studying life course determinants of pregnancy health. Population Participants in an ongoing prospective cohort study of weight-related health who identified as women. Design Retrospective cohort study. Methods In 2019–2020, 1,252 women participating since adolescence in a cohort study of weight-related health were invited to complete an online reproductive history survey. Participants who reported a live birth were invited to release their prenatal, delivery, and postpartum medical records for validation of survey reports. Descriptive analyses were conducted to assess the characteristics of the overall cohort and the medical record validation subsample, and to describe adolescent and young adult characteristics of those with high (>80th percentile), moderate (20th-80th percentile), and low (<20th percentile) GWG z-score for gestational age and pre-pregnancy weight status. Preliminary results Nine hundred seventy-seven women (78%) completed the LEAP survey and 656 reported a live birth. Of these, 379 (58%) agreed to release medical records, and 250 records were abstracted (66% of the 379). Of the 977 survey respondents 769 (79%) reported attempting a pregnancy, and 656 (67%) reported at least one live birth. The validation subsample was similar to the overall cohort. Women with a high GWG had a higher adolescent BMI percentile and prevalence of unhealthy weight control behaviors than those with moderate or low GWG. Conclusions LEAP offers a valuable resource for identifying life course factors that may influence the health of pregnant people and their offspring.

show abstract

Factors associated with early gestational weight gain among women with pre-pregnancy overweight or obesity

Cited by 6 publications

References 40 publications

Effectiveness of a nurse‐led mHealth app to prevent excessive gestational weight gain among overweight and obese women: A randomized controlled trial

Effectiveness of a nurse‐led mHealth app to prevent excessive gestational weight gain among overweight and obese women: A randomized controlled trial

Perspectives of Pregnant Women and Antenatal Service Providers Regarding Gestational Weight Gain and Nutritional Needs: Systematic Review

Cohort profile: Life-course experiences and pregnancy (LEAP)–A retrospective pregnancy cohort for life-course reproductive health research

Contact Info

Product

Resources

About