Targeting pregnancy-related weight gain to reduce disparities in obesity: Baseline results from the Healthy Babies trial

Does a video module improve patient adherence to recommended gestational weight gain guidelines?

OBJECTIVES

We aim to assess if implementation of an educational video module can improve patient adherence to recommended weight gain guidelines. Secondarily, we investigated if patients' knowledge about gestational weight gain was improved with use of the video, as well as if there was a difference in maternal and neonatal outcomes, and patient satisfaction.

METHODS

This was an IRB-approved, prospective cohort study conducted from February 2019 to October 2019. Patients were recruited from a large academic practice during their first trimester of pregnancy. Patients in the control cohort received routine care. Patients in the video cohort watched a 5-min educational video module about gestational weight gain. Pre-pregnancy weight and baseline demographics were recorded. All patients took a baseline questionnaire assessing gestational weight gain knowledge upon enrollment, and again 4 weeks later. Pre and post score differences were calculated. On admission to the hospital for delivery, all patients' gestational weight gain was calculated, and the overall gestational weight gain differences between the two groups were calculated. Maternal and neonatal delivery outcomes were also collected. T-tests, Mann-Whitney U tests, and Chi-square analyses were used to compare groups, and a p-value of <.05 was deemed statistically significant.

RESULTS

During the study period, 155 patients were recruited, with 79 in control cohort and 76 in video cohort, respectively. There was no significant difference in the percentage of patients who gained the appropriate amount of weight between the two groups; 25% (18/74) of patients in the control vs. 25% (17/68) of patients in video cohort (p = .926). There was no difference in the improvement of the pre and post assessment scores when compared between the two cohorts; the average score improvement was 1.72 ± 15.09% for the control, vs. 6.20 ± 12.51% for video cohort (p = .129). There was no difference in maternal or neonatal outcomes between the two groups. Patients were overall satisfied with the video module, with 67.6% (n = 45) reporting the video to be very educational.

CONCLUSIONS

Use of a video module did not improve GWG outcomes or knowledge in our study. Future work can focus on use of a recurring intervention throughout pregnancy, either with app-based technology or multiple videos.

Patient engagement practice within perinatal eHealth: A scoping review

BACKGROUND

There is a gap in knowledge about how perinatal eHealth programs function to support autonomy for new and expectant parents from pursuing wellness goals.

OBJECTIVES

To examine patient engagement (access, personalization, commitment and therapeutic alliance) within the practice of perinatal eHealth.

DESIGN

Scoping review.

METHODS

Five databases were searched in January 2020 and updated in April 2022. Reports were vetted by three researchers and included if they documented maternity/neonatal programs and utilized World Health Organization (WHO) person-centred digital health intervention (DHI) categories. Data were charted using a deductive matrix containing WHO DHI categories and patient engagement attributes. A narrative synthesis was conducted utilizing qualitative content analysis. Preferred Reporting Items for Systematic Reviews and Meta-Analyses 'extension for scoping reviews' guidelines were followed for reporting.

RESULTS

Twelve eHealth modalities were found across 80 included articles. The analysis yielded two conceptual insights: (1) The nature of perinatal eHealth programs: (1) emergence of a complex structure of practice and (2) practising patient engagement within perinatal eHealth.

CONCLUSION

Results will be used to operationalize a model of patient engagement within perinatal eHealth.

Racial Disparities in Neighborhood and Household Socioeconomic Disadvantage Predict Postpartum Weight Retention

Introduction

Structural racism leads to neighborhood-level socioeconomic disadvantage, which determines adverse birth outcomes. Individual socioeconomic disadvantage is associated with compromised healthy pregnancy outcomes. This study aimed to investigate the pathways by which race, neighborhood socioeconomic disadvantage, and household socioeconomic disadvantage predict subsequent maternal postpartum weight retention.

Method

A total of 176 (N=176) racially diverse women were studied from the third trimester to 6 months after delivery. Neighborhood socioeconomic disadvantage was defined by information from the American Community Survey based on women's census tract and self-reports of neighborhood healthy food availability, safety, violence, and walking environment. Household socioeconomic disadvantage included food insecurity, income-to-needs ratio, and maternal education. Pregnancy health risk was operationalized using a summative index that included prepregnancy overweight/obesity, excessive gestational weight gain, and diagnosed hypertensive disorders during pregnancy. Postpartum weight retention was operationalized as a 6-month postpartum weight minus prepregnancy weight. Data were analyzed using structural equation modeling with bootstrapped CIs to estimate indirect effects.

Results

One third of participants retained more than 22 lbs. of pregnancy weight gain 6 months after delivery. Increased household socioeconomic disadvantage (β=0.64, p=0.039) and pregnancy health risk (β=0.34, p=0.002) were directly associated with higher postpartum weight retention. Maternal race/ethnicity had an indirect impact on postpartum weight retention through neighborhood socioeconomic disadvantage and household socioeconomic disadvantage. Non-Hispanic Black women had greater neighborhood socioeconomic disadvantage than non-Hispanic White women (White vs Black β= -0.62; p<0.001) and all other women (other vs Black β= -0.22; p=0.013). In addition, Black women had greater household socioeconomic disadvantage than White women (White vs Black β= -0.35; p=0.004), both of which in turn predicted higher postpartum weight retention.

Conclusions

To prevent postpartum weight retention, education on behavior change to lose weight is essential, but it must be offered in the context of basic resources, at both the neighborhood and household levels.

Behavioural interventions delivered through interactive social media for health behaviour change, health outcomes, and health equity in the adult population

BACKGROUND

Social networking platforms offer a wide reach for public health interventions allowing communication with broad audiences using tools that are generally free and straightforward to use and may be combined with other components, such as public health policies. We define interactive social media as activities, practices, or behaviours among communities of people who have gathered online to interactively share information, knowledge, and opinions.

OBJECTIVES

We aimed to assess the effectiveness of interactive social media interventions, in which adults are able to communicate directly with each other, on changing health behaviours, body functions, psychological health, well-being, and adverse effects. Our secondary objective was to assess the effects of these interventions on the health of populations who experience health inequity as defined by PROGRESS-Plus. We assessed whether there is evidence about PROGRESS-Plus populations being included in studies and whether results are analysed across any of these characteristics.

SEARCH METHODS

We searched CENTRAL, CINAHL, Embase, MEDLINE (including trial registries) and PsycINFO. We used Google, Web of Science, and relevant web sites to identify additional studies and searched reference lists of included studies. We searched for published and unpublished studies from 2001 until June 1, 2020. We did not limit results by language.

SELECTION CRITERIA

We included randomised controlled trials (RCTs), controlled before-and-after (CBAs) and interrupted time series studies (ITSs). We included studies in which the intervention website, app, or social media platform described a goal of changing a health behaviour, or included a behaviour change technique. The social media intervention had to be delivered to adults via a commonly-used social media platform or one that mimicked a commonly-used platform. We included studies comparing an interactive social media intervention alone or as a component of a multi-component intervention with either a non-interactive social media control or an active but less-interactive social media comparator (e.g. a moderated versus an unmoderated discussion group). Our main outcomes were health behaviours (e.g. physical activity), body function outcomes (e.g. blood glucose), psychological health outcomes (e.g. depression), well-being, and adverse events. Our secondary outcomes were process outcomes important for behaviour change and included knowledge, attitudes, intention and motivation, perceived susceptibility, self-efficacy, and social support.

DATA COLLECTION AND ANALYSIS

We used a pre-tested data extraction form and collected data independently, in duplicate. Because we aimed to assess broad outcomes, we extracted only one outcome per main and secondary outcome categories prioritised by those that were the primary outcome as reported by the study authors, used in a sample size calculation, and patient-important.

MAIN RESULTS

We included 88 studies (871,378 participants), of which 84 were RCTs, three were CBAs and one was an ITS. The majority of the studies were conducted in the USA (54%). In total, 86% were conducted in high-income countries and the remaining 14% in upper middle-income countries. The most commonly used social media platform was Facebook (39%) with few studies utilising other platforms such as WeChat, Twitter, WhatsApp, and Google Hangouts. Many studies (48%) used web-based communities or apps that mimic functions of these well-known social media platforms. We compared studies assessing interactive social media interventions with non-interactive social media interventions, which included paper-based or in-person interventions or no intervention. We only reported the RCT results in our 'Summary of findings' table. We found a range of effects on health behaviours, such as breastfeeding, condom use, diet quality, medication adherence, medical screening and testing, physical activity, tobacco use, and vaccination. For example, these interventions may increase physical activity and medical screening tests but there was little to no effect for other health behaviours, such as improved diet or reduced tobacco use (20,139 participants in 54 RCTs). For body function outcomes, interactive social media interventions may result in small but important positive effects, such as a small but important positive effect on weight loss and a small but important reduction in resting heart rate (4521 participants in 30 RCTs). Interactive social media may improve overall well-being (standardised mean difference (SMD) 0.46, 95% confidence interval (CI) 0.14 to 0.79, moderate effect, low-certainty evidence) demonstrated by an increase of 3.77 points on a general well-being scale (from 1.15 to 6.48 points higher) where scores range from 14 to 70 (3792 participants in 16 studies). We found no difference in effect on psychological outcomes (depression and distress) representing a difference of 0.1 points on a standard scale in which scores range from 0 to 63 points (SMD -0.01, 95% CI -0.14 to 0.12, low-certainty evidence, 2070 participants in 12 RCTs). We also compared studies assessing interactive social media interventions with those with an active but less interactive social media control (11 studies). Four RCTs (1523 participants) that reported on physical activity found an improvement demonstrated by an increase of 28 minutes of moderate-to-vigorous physical activity per week (from 10 to 47 minutes more, SMD 0.35, 95% CI 0.12 to 0.59, small effect, very low-certainty evidence). Two studies found little to no difference in well-being for those in the intervention and control groups (SMD 0.02, 95% CI -0.08 to 0.13, small effect, low-certainty evidence), demonstrated by a mean change of 0.4 points on a scale with a range of 0 to 100. Adverse events related to the social media component of the interventions, such as privacy issues, were not reported in any of our included studies. We were unable to conduct planned subgroup analyses related to health equity as only four studies reported relevant data.

AUTHORS' CONCLUSIONS

This review combined data for a variety of outcomes and found that social media interventions that aim to increase physical activity may be effective and social media interventions may improve well-being. While we assessed many other outcomes, there were too few studies to compare or, where there were studies, the evidence was uncertain. None of our included studies reported adverse effects related to the social media component of the intervention. Future studies should assess adverse events related to the interactive social media component and should report on population characteristics to increase our understanding of the potential effect of these interventions on reducing health inequities.

Sources of information about gestational weight gain, diet and exercise among Brazilian immigrant women living in the USA: a cross-sectional study

OBJECTIVE

The objective of this study was to assess sources of information about gestational weight gain (GWG), diet and exercise among first-time pregnant Brazilian women in the USA.

DESIGN

Cross-sectional survey.

SETTING

Massachusetts, USA.

PARTICIPANTS

First-time pregnant Brazilian women.

RESULTS

Eighty-six women, the majority of whom were immigrants (96·5 %) classified as having low acculturation levels (68 %), participated in the study. Approximately two-thirds of respondents had sought information about GWG (72·1 %), diet (79·1 %) and exercise (74·4 %) via the internet. Women classified as having low acculturation levels were more likely to seek information about GWG via the internet (OR = 7·55; 95 % CI 1·41, 40·26) than those with high acculturation levels after adjusting for age and receiving information about GWG from healthcare provider (doctor or midwife). Moreover, many respondents reported seeking information about GWG (67 %), diet (71 %) and exercise (52 %) from family and friends. Women who self-identified as being overweight pre-pregnancy were less likely to seek information about diet (OR = 0·32; 95 % CI 0·11, 0·93) and exercise (OR = 0·33; 95 % CI 0·11, 0·96) from family and friends than those who self-identified being normal-weight pre-pregnancy.

CONCLUSIONS

This is the first study to assess sources of information about GWG, diet and exercise among pregnant Brazilian immigrants in the USA. Findings have implications for the design of interventions and suggest the potential of mHealth intervention as low-cost, easy access option for delivering culturally and linguistically tailored evidence-based information about GWG incorporating behavioural change practices to this growing immigrant group.