scholarly journals Obstetric healthcare providers’ perceptions of communicating gestational weight gain recommendations to overweight/obese pregnant women

2012 ◽  
Vol 5 (4) ◽  
pp. 161-165 ◽  
Author(s):  
Barbara Grohmann ◽  
Pauline Brazeau-Gravelle ◽  
Franco Momoli ◽  
Katherine Moreau ◽  
Tinghua Zhang ◽  
...  

Background Gestational weight gain (GWG) is a major risk factor of poor pregnancy outcomes. Obese pregnant women frequently report bias and discrimination when dealing with healthcare providers (HCPs). Effective communication of GWG recommendations may impact risks. Study objectives were to identify perceptions of HCPs in communicating GWG recommendations and to identify potential gaps/opportunities that could be addressed in the development of appropriate materials/programmes. Methods: A survey tool was created using the Theory of Planned Behaviour to capture HCPs’ attitudes, behaviours and intentions, using four-point Likert questions. Surveys were distributed to obstetricians/gynaecologists, family physicians, obstetric residents/ fellows, midwives, registered/public health nurses and registered dietitians. Results: Results from 96 surveys show that HCPs agreed discussing GWG was important (100%), beneficial for patient-provider rapport (86%) and best practice (100%); however, most found it unpleasant (68%). Providers have confidence in their skills to provide nutrition advice (71%) and believe they have sufficient training (56%); yet, 31% acknowledged making derogatory comments and indicated that they could improve their communication of GWG (92%). Conclusions: HCPs believe they are providing GWG recommendations in an effective and empathetic manner. While an underlying current of bias/discrimination remains, there is recognition of the importance of more training and access to appropriate tools.

2020 ◽  
Author(s):  
Ching-Fang Lee ◽  
Li-Kang Chi ◽  
Jian-Pei Huang ◽  
Chen-Ju Lin

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


2021 ◽  
Vol 224 (2) ◽  
pp. S152-S153
Author(s):  
Naima T. Joseph ◽  
Glen Satten ◽  
Rachel Williams ◽  
Martina Badell ◽  
Anandi Sheth

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Muge Gul Gulecoglu Onem ◽  
Canan Coker ◽  
Kemal Baysal ◽  
Sabahattin Altunyurt ◽  
Pembe Keskinoglu

Abstract Objectives Pregnancy is associated with physiological alterations in insulin sensitivity and lipid metabolism. This study investigates the associations between pregestational body mass index (pBMI) and the rate of gestational weight gain (rGWG) in the second trimester with the biomarkers of lipid, fatty acids metabolism and insulin resistance. Methods Sixty nine pregnant women followed. The body weights of the pregnant women were measured and blood samples were obtained at 11–14th and 24–28th weeks of pregnancy. Glucose, total cholesterol, triglyceride, HDL cholesterol, LDL cholesterol, insulin levels and fatty acids were measured. Rate of GWG (kg/week) and The Homeostasis Model Assessment for Insulin Resistance (HOMA-IR) were calculated. The pregnant women were stratified according to their pBMI and the 2nd trimester rGWG. Results The rate of GWG was significantly higher for the group with pBMI<25, compared to the group with pBMI≥25 (p=0.024). Triglyceride, total cholesterol, LDL and HDL cholesterol were significantly increased in the second trimester compared with the first trimester. Palmitic acid, oleic acid, linoleic acid, myristic acid, docosahexaenoic acid (DHA), arachidonic acid (AA), total omega-6 (n − 6) and omega-3 (n − 3) fatty acid levels and n − 6/n − 3 ratio were significantly higher in the second trimester. Glucose was significantly decreased and insulin was increased in the second trimester. In the overweight/obese group; HOMA-IR, insulin, AA, palmitoleic acid and stearic acid were found to be high in comparison to the group with low/normal pBMI. No parameters were associated with rGWG. Conclusions The changes in lipid parameters, free fatty acids, insulin and HOMA-IR in the second trimester were compatible with the changes in lipid metabolism and the development of insulin resistance. Pregestational BMI was shown to have a stronger influence on lipid profile, insulin resistance, and fatty acids than rGWG.


2012 ◽  
Vol 2012 ◽  
pp. 1-9 ◽  
Author(s):  
Kelly C. Allison ◽  
Brian H. Wrotniak ◽  
Emmanuelle Paré ◽  
David B. Sarwer

Objectives. To describe psychosocial factors identified as contributors of weight gain in the general population and to examine the relationship between these factors and gestational weight gain among low socioeconomic status, African American, overweight pregnant women.Methods. African American women (n=120) with a pregravid body mass index≥25 kg/m2completed measures of eating, sleep, and depressed mood between 14 and 24 weeks of gestation. Weight was tracked. Descriptive statistics, correlations, and linear regression modeling were used to characterize the sample and examine predictors of gestational weight gain.Results. Four percent screened positive for night eating syndrome, with 32% consuming at least 25% of their daily caloric intake after dinner (evening hyperphagia). None met criteria for binge eating disorder; 4% reported occasional binge episodes. Cognitive restraint over eating was low. Participants slept 7.1 (SD=1.9) h per night and reported 4.3 (SD=3.6) awakenings per week; 18% reported some level of depressed mood. Night and binge eating were related to each other, sleep quality, and depressed mood. Eating due to cravings was the only psychosocial variable to predict gestational weight gain.Conclusions. Depressed mood, night eating, and nighttime awakenings were common in this cohort, while cognitive restraint over eating was low. Most psychosocial variables were not predictive of excess gestational weight gain.


2021 ◽  
Author(s):  
Ching-Fang Lee ◽  
Li-Kang Chi ◽  
Yvonne Hsiung ◽  
Jian-Pei Huang ◽  
Chun-Wei Chang

BACKGROUND Overweight and obese women’s excessive gestational weight gain (GWG) may be a health risk for both the mother and the fetus; excessive GWG leads to the retention of weight postpartum and thus obesity. Given the overwhelming number of existing pregnancy-related applications (apps), we lack only a few methodological guidelines for integrating theory, evidence and previously validated apps to help overweight and obese women manage their GWG during pregnancy. OBJECTIVE This two-phase study aimed to develop the MyHealthyWeight (MHW) app based on social-cognitive theory (SCT) and evaluate its effectiveness for overweight and obese women in helping prevent excessive GWG by enhancing adherence to optimal GWG goals and healthy behavior during pregnancy. METHODS First, we constructed and developed the MHW app based on SCT theory, and we later employed a mixed-method study to evaluate the effects of the app on overweight and obese pregnant women. RESULTS All participating overweight and obese pregnant women (100%) achieved their optimal GWG through increased self-efficacy and physical activity. Their total and moderate-intensity physical activity expenditures improved, while their sedentary and light-intensity levels of physical activity decreased. CONCLUSIONS This theory-based MHW app for weight management was greatly valued by the pregnant users. Its usefulness for health-care professionals in assisting overweight and obese pregnant women in preventing excessive GWG by promoting healthy behavior, in particular through physical exercise and a healthy diet, during pregnancy was also confirmed. CLINICALTRIAL NCT04553718


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