Electronic-based lifestyle interventions in overweight or obese perinatal women: a systematic review and meta-analysis

Protocol of an adaptive mobile health intervention for the management of gestational weight gain: The LEAP cluster randomized controlled trial

BACKGROUND

More than half of pregnant patients with overweight or obesity exceed national gestational weight gain (GWG) guidelines, increasing their risk of adverse outcomes. There is an urgent need to develop effective and scalable interventions to improve GWG.

OBJECTIVE

To describe the protocol of Lifestyle, Eating, and Activity in Pregnancy (LEAP), a cluster randomized controlled trial evaluating a mobile health (mHealth) intervention promoting appropriate GWG in an integrated healthcare system.

METHODS

LEAP is a cluster randomized trial with randomization at the clinician level. Patient eligibility includes a pre-pregnancy BMI of 25.0-40.0 kg/m2 and singleton pregnancy. Consented patients receive standard care or standard care plus mHealth intervention per their clinician's randomization. The patient adaptive intervention provides personalized, automated feedback on GWG and physical activity using 1) a smartphone application, 2) a Wi-Fi scale and activity tracker; 3) weekly educational topics; and 4) step-wise support (added when GWG is >75th percentile of the GWG guidelines). Intervention clinicians receive newsletters with motivational interviewing tips to facilitate discussing GWG. Primary outcomes are total GWG (last measured weight - pre-pregnancy weight) and weekly rate of GWG (total GWG/gestational weeks at delivery) as continuous variables and categorized per the IOM GWG guidelines. Secondary outcomes include trimester-specific rate of GWG, GWG trajectory, diet and physical activity, postpartum weight retention, birthweight, infant size for gestational age, and infant growth to 12 months.

CONCLUSIONS

LEAP addresses gaps in the implementation of GWG interventions in healthcare settings. The adaptive and mHealth nature of the intervention may enhance scalability.

TRIAL REGISTRATION

ClinicalTrials.govNCT03880461.

Current Use and Discrepancies in the Adoption of Health-Related Internet of Things and Apps Among Working Women in Japan: Large-Scale, Internet-Based, Cross-Sectional Survey

BACKGROUND

Demographic changes and a low birth rate have led to a workforce shortage in Japan. To address this issue, the government has promoted engagement of female employment. However, increased female employment can impact women's health. Using Internet of Things (IoT) and apps to manage women's health has gained attention, but few studies have focused on working women.

OBJECTIVE

This study aimed to clarify the current situation of working women and their use of IoT or apps to manage their health.

METHODS

A large-scale, nationwide internet survey was conducted among 10,000 female participants aged from 20 years to 64 years in Japan. Participants were recruited from a marketing research company's active survey panel of 5.24 million members. The survey included questions about health status, sociodemographic factors, psychological characteristics, and the use of IoT or apps for health management. We compared perceived health status and reasons for current IoT use using t tests and assessed participant characteristics that predicted IoT use using the C5.0 decision tree algorithm. Ethical approval was granted by St. Luke's International University.

RESULTS

Among participants, 14.6% (1455/10,000) currently used IoT or apps, 7% (695/10,000) used them previously, and 78.5% (7850/10,000) had never used them. Current users (42.7 years old) were older than past users (39.7 years old). Discrepancies were observed between participants' perceived health problems and the purpose for using IoT or apps, with 21.3% (2130/10,000) of all women reporting they experienced menstrual symptoms or disorders but only 3.5% (347/10,000) used IoT or apps to manage the same symptom. On the other hand, current users were more likely to use IoT or apps to manage nutrition-related problems such as underweight or obesity (405/1455, 27.8%). Device use was highest among current users, with 87.3% (1270/1455) using smartphones, 19.7% (287/1455) using smartwatches, and 13.3% (194/1455) using PCs. Decision tree analysis identified 6 clusters, the largest consisting of 81.6% (5323/6523) of non-IoT users who did not exercise regularly, while pregnant women were more likely to use IoT or apps.

CONCLUSIONS

Our findings highlight the idea that woman with particular health problems (ie, menstrual symptoms or disorders and premenstrual syndrome) have lower use of IoT or apps, suggesting an unmet need for IoT and apps in specific areas.

A Systematic Review and Bayesian Network Meta-Analysis Comparing In-Person, Remote, and Blended Interventions in Physical Activity, Diet, Education, and Behavioral Modification on Gestational Weight Gain among Overweight or Obese Pregnant Individuals

BACKGROUND

Despite the well-documented adverse outcomes associated with obesity during pregnancy, this condition remains a promising modifiable risk factor.

OBJECTIVES

The aim of this study was to ascertain the most effective treatment modalities for gestational weight gain (GWG) in pregnant women classified as overweight or obese.

METHODS

A systematic search was conducted across 4 electronic databases: Embase, EBSCOhost, PubMed, and Web of Science. To assess the quality of evidence, the Confidence In Network Meta-Analysis (CINeMA) approach, grounded in the Grading of Recommendations Assessment, Development, and Evaluation framework, was employed. A Bayesian network meta-analysis was conducted to synthesize the comparative effectiveness of treatment modalities based on GWG outcomes.

RESULTS

The analysis incorporated 60 randomized controlled trials, encompassing 16,615 participants. Modes of intervention administration were classified as remote (R: eHealth [e] and mHealth [m]), in-person (I), and a combination of both (I+R). The interventions comprised 5 categories: education (E), physical activity (PA), dietary (D), behavior modification (B), and combinations thereof. The quality of the evidence, as evaluated by CINeMA, ranged from very low to high. Compared to the control group, the I-D intervention (mean difference [MD]: -1.27; 95% confidence interval [CI]: -2.23, -0.32), I-PADB (MD: -0.60, 95% CI: -1.19, -0.00), and I-B (MD: -0.34, 95% CI: -0.57, -0.10) interventions showed significant efficacy in reducing GWG.

CONCLUSIONS

Preliminary findings suggest that the I-D intervention is the most efficacious in managing GWG among pregnant women who are overweight or obese, followed by I-PADB and I-B+R-B(m) treatments. These conclusions are drawn from evidence of limited quality and directness, including insufficient data on PA components used in the interventions. Owing to the absence of robust, direct evidence delineating significant differences among various GWG management strategies, it is tentatively proposed that the I-D intervention is likely the most effective approach. This study was registered with PROSPERO as CRD42023473627.

Effects of mHealth-Based Lifestyle Interventions on Gestational Diabetes Mellitus in Pregnant Women With Overweight and Obesity: Systematic Review and Meta-Analysis

BACKGROUND

The increasing incidence of gestational diabetes mellitus (GDM) is a global health problem that is more likely to occur in pregnant women with overweight or obesity. Adhering to a healthy lifestyle is associated with a reduced risk of GDM. With the development of IT, mobile health (mHealth) interventions have become widely available in health care. However, there are no definitive conclusions on the effectiveness of mHealth-based lifestyle interventions in preventing GDM.

OBJECTIVE

This study aims to evaluate the impact of mHealth-based lifestyle interventions on GDM and other pregnancy outcomes in pregnant women with overweight or obesity.

METHODS

A systematic literature search was conducted in 5 English databases (MEDLINE, Embase, Web of Science, CENTRAL, and CINAHL) and 4 Chinese databases (CBM, CNKI, Vip, and Wanfang) to identify randomized controlled trials (RCTs) on the effectiveness of mHealth-based interventions for GDM from inception to January 10, 2023. In total, 2 authors independently screened the studies and extracted the data. The quality of the included studies was examined using the Cochrane risk-of-bias tool. Data synthesis was conducted using Review Manager (version 5.4; The Cochrane Collaboration).

RESULTS

A total of 16 RCTs with 7351 participants were included in this study. The included studies were published between 2014 and 2021 and were conducted in China, the United States, Australia, New Zealand, the United Kingdom, Ireland, and Norway. The sample sizes of the studies ranged from 75 to 2202, and the duration of the mHealth-based lifestyle interventions ranged from 4 to 28 weeks. Compared with usual care, mHealth-based lifestyle interventions significantly reduced the incidence of GDM (odds ratio [OR] 0.74, 95% CI 0.56-0.96; P=.03; I2=65%), preterm birth (OR 0.65, 95% CI 0.48-0.87; P=.004; I2=25%), macrosomia (OR 0.59, 95% CI 0.40-0.87; P=.008; I2=59%), and gestational weight gain (mean difference=-1.12 kg, 95% CI -1.44 to -0.80; P<.001; I2=43%). The subgroup analysis showed that interventions delivered via apps (OR 0.55, 95% CI 0.37-0.83; P=.004; I2=44%), provided by obstetricians (OR 0.69, 95% CI 0.51-0.93; P=.02; I2=60%), and targeted at Asian populations (OR 0.44, 95% CI 0.34-0.58; P<.001; I2=0%) and that used the International Association of Diabetes and Pregnancy Study Groups diagnostic criteria (OR 0.58, 95% CI 0.39-0.86; P=.007; I2=69%) showed a statistically significant reduction in the risk of GDM.

CONCLUSIONS

mHealth-based lifestyle interventions had a favorable impact on the prevention of GDM in pregnant women with overweight and obesity. Future studies need to further explore the potential of mHealth-based interventions for GDM through better design and more rigorous large-scale RCTs.

TRIAL REGISTRATION

PROSPERO International Prospective Register of Systematic Reviews CRD42021286995; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=286995.

Digital Self-Monitoring Tools for the Management of Gestational Weight Gain: Protocol for a Systematic Review

BACKGROUND

Gestational weight gain (GWG) exceeding the recommendations of the Institute of Medicine (in the United States) is associated with numerous adverse maternal and infant health outcomes. While many behavioral interventions targeting nutrition and physical activity have been developed to promote GWG within the Institute of Medicine guidelines, engagement and results are variable. Technology-mediated interventions can potentially increase the feasibility, acceptability, and reach of interventions, particularly for pregnant women, for whom integration of interventions into daily life may be critical to retention and adherence. Previous reviews highlight GWG self-monitoring as a common intervention component, and emerging work has begun to integrate digital self-monitoring into technology-mediated interventions. With rapid advances in technology-mediated interventions, a focused synthesis of literature examining the role of digital self-monitoring tools in managing GWG is warranted to guide clinical practice and inform future studies.

OBJECTIVE

The proposed review aims to synthesize the emerging research base evaluating digital GWG self-monitoring interventions, primarily focusing on whether the intervention is effective in managing GWG. Depending on the characteristics of the included research, secondary focus areas will comprise intervention recruitment and retention, feasibility, acceptability, and differences between stand-alone and multicomponent interventions.

METHODS

This protocol was developed following the PRISMA-P (Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols) guidelines for systematic review protocols. The proposed review would use a planned and systematic approach to identify, evaluate, and synthesize relevant and recent empirical quantitative studies (reported in English) examining the use of digital weight self-monitoring tools in the context of technology-mediated interventions to manage GWG in pregnant US adults, with at least 2 instances of data collection. Literature eligible for inclusion will have a publication date between January 2010 and July 2020. The Effective Public Health Practice Project Quality Assessment Tool for Quantitative Studies will be used to assess the methodological quality of included studies across various domains, and results will be synthesized and summarized per the synthesis without meta-analysis guidelines.

RESULTS

The initial queries of 1150 records have been executed and papers have been screened for inclusion. Data extractions are expected to be finished by December 2023. Results are expected in 2024. The systematic review that will be generated from this protocol will offer evidence for the use of digital self-monitoring tools in the management of GWG.

CONCLUSIONS

The planned, focused synthesis of relevant literature has the potential to inform the use of digital weight self-monitoring tools in the context of future technology-mediated interventions to manage GWG. In addition, the planned review has the potential to contribute as part of a broader movement in research toward empirically supporting the inclusion of specific components within more extensive, multicomponent interventions to balance parsimony and effectiveness.

TRIAL REGISTRATION

PROSPERO CRD42020204820; https://tinyurl.com/ybzt6bvr.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

PRR1-10.2196/50145.

Using the Person-Based Approach to Develop a Digital Intervention Targeting Diet and Physical Activity in Pregnancy: Development Study

BACKGROUND

In pregnancy, eating well, keeping active, and avoiding excessive weight gain are associated with better maternal and fetal health outcomes. Dietary and physical activity (PA) interventions can be effective in changing behaviors and managing weight gain. The comparatively lower cost and greater accessibility of digital interventions make them an attractive alternative to in-person interventions. Baby Buddy is a free pregnancy and parenting app from the charity Best Beginnings. Designed to support parents, improve health outcomes, and reduce inequalities, the app is actively used within the UK National Health Service. It offers an ideal platform for delivering and evaluating a new prenatal dietary and PA intervention.

OBJECTIVE

The aim of this study was to create a theory-based intervention within Baby Buddy to empower, encourage, and support expectant parents to develop healthier dietary and PA habits for pregnancy and parenthood.

METHODS

The intervention's development process was guided by the Behavior Change Wheel, with the person-based approach used to create and test its design. Three stages of qualitative research with pregnant and recently pregnant parents guided the intervention design. Study 1 (n=30), comprising 4 web-based focus groups and 12 telephone interviews, gauged response to the rudimentary concept and generated ideas for its development. Results were analyzed thematically. At this stage, the guiding principles for the intervention development were established, and regular team meetings ensured that the intervention design remained aligned with Best Beginnings' objectives, evidence-based approach, and feasibility criteria. Study 2 (n=29), comprising web-based individual and couple interviews, explored design ideas using wireframes and scripts and generated iterative feedback on the intervention content, branding, and tone. A table of changes analysis tracked design amendments. Study 3 (n=19) tested an app prototype using think-aloud interviews with current Baby Buddy users. A patient and public involvement and engagement activity (n=18) and other expert contributors (n=14) provided ad hoc input into the research process and design development.

RESULTS

Study 1 confirmed the appeal and relevance of the intervention concept and its novel approach of including partners. The identified themes underpinned the development of the intervention design. Iterative feedback from study 2, in conjunction with patient and public involvement and engagement and expert contributor input, helped refine the intervention design and ensure its relevance and appeal to a diverse target user group. Study 3 highlighted functionality, content, and design issues with the app prototype and identified ways of improving the user experience.

CONCLUSIONS

This study illustrates the value of combining a theoretical method for intervention development with the person-based approach to create a theory-based intervention that is also user-friendly, appealing, and engaging for its target audience. Further research is needed to evaluate the effectiveness of the intervention in improving diet, PA, and weight management in pregnancy.

Effectiveness of Remote Fetal Monitoring on Maternal-Fetal Outcomes: Systematic Review and Meta-Analysis

BACKGROUND

To solve the disadvantages of traditional fetal monitoring such as time-consuming, cumbersome steps and low coverage, it is paramount to develop remote fetal monitoring. Remote fetal monitoring expands time and space, which is expected to popularize fetal monitoring in remote areas with the low availability of health services. Pregnant women can transmit fetal monitoring data from remote monitoring terminals to the central monitoring station so that doctors can interpret it remotely and detect fetal hypoxia in time. Fetal monitoring involving remote technology has also been carried out, but with some conflicting results.

OBJECTIVE

The review aimed to (1) examine the efficacy of remote fetal monitoring in improving maternal-fetal outcomes and (2) identify research gaps in the field to make recommendations for future research.

METHODS

We did a systematic literature search with PubMed, Cochrane Library, Web of Science, Embase, MEDLINE, CINAHL, ProQuest Dissertations and Theses Global, ClinicalTrials.gov, and Open Grey in March 2022. Randomized controlled trials or quasi-experimental trials of remote fetal monitoring were identified. Two reviewers independently searched articles, extracted data, and assessed each study. Primary outcomes (maternal-fetal outcomes) and secondary outcomes (health care usage) were presented as relative risks or mean difference. The review was registered on PROSPERO as CRD42020165038.

RESULTS

Of the 9337 retrieved literature, 9 studies were included in the systematic review and meta-analysis (n=1128). Compared with a control group, remote fetal monitoring reduced the risk of neonatal asphyxia (risk ratio 0.66, 95% CI 0.45-0.97; P=.04), with a low heterogeneity of 24%. Other maternal-fetal outcomes did not differ significantly between remote fetal monitoring and routine fetal monitoring, such as cesarean section (P=.21; I2=0%), induced labor (P=.50; I2=0%), instrumental vaginal birth (P=.45; I2=0%), spontaneous delivery (P=.85; I2=0%), gestational weeks at delivery (P=.35; I2=0%), premature delivery (P=.47; I2=0%), and low birth weight (P=.71; I2=0%). Only 2 studies performed a cost analysis, stating that remote fetal monitoring can contribute to reductions in health care costs when compared with conventional care. In addition, remote fetal monitoring might affect the number of visits and duration in the hospital, but it was not possible to draw definite conclusions about the effects due to the limited number of studies.

CONCLUSIONS

Remote fetal monitoring seems to reduce the incidence of neonatal asphyxia and health care costs compared with routine fetal monitoring. To strengthen the claims on the efficacy of remote fetal monitoring, further well-designed studies are necessary, especially in high-risk pregnant women, such as pregnant women with diabetes, pregnant women with hypertension, and so forth.

Efficacious lifestyle interventions for appropriate gestational weight gain in women with overweight or obesity set in the health care system: a scoping review

Purpose: Health care systems offer opportunities to scale up interventions for appropriate gestational weight gain (GWG); however, GWG interventions in the health care setting remain largely unavailable to women with overweight or obesity. To inform the translation of efficacious lifestyle interventions to health care delivery systems, this scoping review aimed to systematically identify randomized controlled trials for appropriate GWG in women with overweight or obesity that were set in a health care system.Methods: A scoping review allows for the systematic synthesis of knowledge on an exploratory research question aimed at mapping key concepts (e.g. time, location, source, and evidence) and gaps in a specific area of study. The Colquhoun et al. (2014) framework to conducting scoping reviews was used to develop the research question, identify relevant studies, select studies, extract data, and synthesize data. Specifically, two reviewers searched publication databases for English-language articles published from January 2009 to May 2020 using specific keywords/MeSH terms.Results: Eight peer-reviewed journal articles were identified; six trials were based in Europe and two in the U.S. Only four included lifestyle interventions that were efficacious in reducing GWG. Three trials with efficacious interventions were among women with obesity only and encouraged them to gain at or below the lower limit for total GWG (i.e. ≤5 kg) of the Institute of Medicine (IOM) guidelines. The fourth was among women with overweight or obesity and encouraged women to gain within the IOM guidelines with a telehealth behavioral intervention. Efficacious interventions were initiated in the first half of pregnancy and included frequent contact delivered through multiple modalities (i.e. in-person visits, telephone calls, text messages, email) by trained intervention staff (i.e. dietitian, lifestyle coach, and/or physiotherapist). Only one efficacious intervention trial briefly mentioned theoretical components for health promotion (e.g. self-monitoring); likewise, only one included cost-effectiveness analyses.Conclusions: This review systematically identified randomized controlled trials of efficacious lifestyle interventions (i.e. consisting of diet and physical activity components) for appropriate GWG in women with overweight or obesity that were set in the health care system and delivered by non-clinicians. Translation efforts could draw upon aspects of the efficacious lifestyle interventions described in this review. Future studies should examine theory-based telehealth interventions and cost-effectiveness.

Effectiveness of a Step Counter Smartband and Midwife Counseling Intervention on Gestational Weight Gain and Physical Activity in Pregnant Women With Obesity (Pas and Pes Study): Randomized Controlled Trial

Background

Women who are pregnant and have obesity and excessive gestational weight gain (GWG) present a higher risk of maternal and perinatal complications. The use of mobile apps and a wristband during pregnancy may contribute to promoting healthy lifestyles and, thus, improving maternal and neonatal health.

Objective

This study aims to evaluate the effectiveness of a complex digital health intervention, using a smartband and app with midwife counseling, on GWG and physical activity (PA) in women who are pregnant and have obesity and analyze its impact on maternal and perinatal outcomes. In addition, we aim to study the frequency of use, usability, and satisfaction with the mobile apps used by the women in the intervention group.

Methods

A parallel, 2-arm, randomized controlled trial was conducted. A total of 150 women who were pregnant and had obesity were included. The intervention group received a complex combined digital intervention. The intervention was delivered with a smartband (Mi Band 2) linked to the app Mi Fit to measure PA and the Hangouts app with the midwife to provide personal health information. The control group received usual care. The validated Spanish versions of the International Physical Activity Questionnaire–Short Form and the System Usability Scale were used. Satisfaction was measured on a 1- to 5-point Likert scale.

Results

We analyzed 120 women, of whom 30 (25%) were withdrawn because of the COVID-19 pandemic. The median GWG in the intervention group was 7.0 (IQR 4-11) kg versus 9.3 (IQR 5.9-13.3) kg in the control group (P=.04). The adjusted mean GWG per week was 0.5 (95% CI 0.4-0.6) kg per week in the control group and 0.3 (95% CI 0.3-0.4) kg per week in the intervention group (df=0.1, 95% CI −0.2 to 0.03; P=.008). During the 35 and 37 gestational weeks, women in the intervention group had higher mean PA than women in the control group (1980 metabolic equivalents of tasks–minutes per week vs 1386 metabolic equivalents of tasks–minutes per week, respectively; P=.01). No differences were observed between the study groups in the incidence of maternal and perinatal outcomes. In the intervention group, 61% (36/59) of the women who were pregnant used the smartband daily, and 75% (44/59) evaluated the usability of the Mi Fit app as excellent. All women in the intervention group used the Hangouts app at least once a week. The mean of the satisfaction scale with the health counseling app and midwife support was 4.8/5 (SD 0.6) points.

Conclusions

The use of a complex mobile health intervention was associated with adequate GWG, which was lower in the intervention group than in the control group. In addition, we observed that the intervention group had increases in PA. No differences were observed in maternal perinatal complications.

Trial Registration

ClinicalTrials.gov NCT03706872; https://www.clinicaltrials.gov/ct2/show/NCT03706872

Developing a Prenatal Nutrition Tool: A Process of Evidence, Collaboration, and Consultation

The Prenatal Nutrition Tool was created for care providers that work with pregnant clients and aims to support focused conversations on nutrition topics that influence maternal and infant health outcomes. A systematic 9-step product development process that combined findings from the literature with perspectives of nutrition experts and care providers was used to develop the tool. The results of a literature review and a modified Delphi Process (to obtain expert opinion) laid the foundation for the tool content. The final tool incorporated client feedback. More specifically, client feedback helped to refine tool questions. The tool consists of 2 parts: a questionnaire (written survey) and a conversation guide. The questionnaire covers 4 key themes (pregnancy weight gain, multivitamins, life circumstances, overall food intake) in 13 questions. The conversation guide utilizes public health nutrition guidance documents to lead care providers in focused discussions with clients. The tool is not intended to be a screening tool for medical conditions or replace an in-depth prenatal nutrition assessment. The tool can be accessed by any care provider in Canada on the Alberta Health Services website at Prenatal Nutrition Tool | Alberta Health Services.

eHealth interventions targeting nutrition, physical activity, sedentary behavior, or obesity in adults: A scoping review of systematic reviews

A vast body of evidence regarding eHealth interventions for nutrition, physical activity, sedentary behavior, and obesity exists. This scoping review of systematic reviews aimed to evaluate the current level of evidence in this growing field. Seven electronic databases were searched for systematic reviews published until October 27, 2019. The systematic reviews must have included adult participants only and have evaluated eHealth behavioral interventions with the primary aim of changing nutrition, physical activity, and sedentary behavior or treating or preventing overweight and obesity. One hundred and six systematic reviews, published from 2006 to 2019, were included. Almost all (n = 98) reviews evaluated the efficacy of interventions. Over half (n = 61) included interventions focused on physical activity, followed by treatment of obesity (n = 28), nutrition (n = 22), prevention of obesity (n = 18), and sedentary behavior (n = 6). Many reviews (n = 46) evaluated one type of eHealth intervention only, while 60 included two or more types. Most reviews (n = 67) were rated as being of critically low methodological quality. This scoping review identified an increasing volume of systematic reviews evaluating eHealth interventions. It highlights several evidence gaps (e.g., evaluation of other outcomes, such as reach, engagement, or cost effectiveness), guiding future research efforts in this area.

Effectiveness of E-SBIRT intervention in community healthcare institution in China: study proposal for a randomised controlled trial

BACKGROUND

Many studies have demonstrated the effectiveness of Screening, Brief Intervention and Referral to Treatment (SBIRT) in addressing substance use problem. However, owing to the shortage of counsellors, it has not been widely used in China. With the development of smart medicine, we developed a web-based electronic SBIRT (E-SBIRT) program and explored the effectiveness of E-SBIRT in reducing substance use in China.

METHODS

A randomised controlled trial will be conducted in primary healthcare institutions. Four primary healthcare institutions will be selected and randomly divided into an intervention group and a control group (each institution will recruit 60 participants, and in total, 240 participants will be recruited). The control group will get a pamphlet of drug abuse prevention, and the intervention group will get the E-SBIRT intervention and the pamphlet. Both groups will receive baseline and follow-up assessment at 1 and 3 months after the intervention. The primary outcome is the change in scores on the Alcohol, Smoking and Substance Use Involvement Screening Test, and the secondary outcomes include changes in motivation, depression, anxiety, positive/negative emotion, self-esteem, addiction knowledge and addiction severity index.

CONCLUSIONS

If the 'E-SBIRT' program is found to be effective, it will be an accessible, affordable and widely implementable intervention to help participants at moderate risk of substance use to reduce their consumption. The potential benefit is to provide early intervention to high-risk patients in time and reduce the harmful consequences to individuals and society.

TRIAL REGISTRATION NUMBER

NCT03452241.

Protocol for an interventional study to reduce postpartum weight retention in obese mothers using the internet of things and a mobile application: a randomized controlled trial (SpringMom)

BACKGROUND

Obese pregnant women are known to experience poorer pregnancy outcomes and are at higher risk of postnatal arteriosclerosis. Hence, weight control during and after pregnancy is important for reducing these risks. The objective of our planned randomized controlled trial is to evaluate whether the rate of change in body weight in obese women before pregnancy to 12 months postpartum would be lower with the use of an intervention consisting of Internet of Things (IoT) devices and mobile applications during pregnancy to 1 year postpartum compared to a non-intervention group.

METHODS

Women will be recruited during outpatient maternity checkups at four perinatal care institutions in Japan. We will recruit women at less than 30 weeks of gestation with a pre-pregnancy body mass index ≥ 25 kg/m². The women will be randomly assigned to an intervention or non-intervention group. The intervention will involve using data (weight, body composition, activity, sleep) measured with IoT devices (weight and body composition monitor, activity, and sleep tracker), meal records, and photographs acquired using a mobile application to automatically generate advice, alongside the use of a mobile application to provide articles and videos related to obesity and pregnancy. The primary outcome will be the ratio of change in body weight (%) from pre-pregnancy to 12 months postpartum compared to before pregnancy.

DISCUSSION

This study will examine whether behavioral changes occurring during pregnancy, a period that provides a good opportunity to reexamine one's habits, lead to lifestyle improvements during the busy postpartum period. We aim to determine whether a lifestyle intervention that is initiated during pregnancy can suppress weight gain during pregnancy and encourage weight loss after delivery.

TRIAL REGISTRATION

UMIN: UMIN (University hospital Medical Information Network) 000,041,460. Resisted on 18^th August 2020. https://upload.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000047278.

Practice nurse-supported weight self-management delivered within the national child immunisation programme for postnatal women: a feasibility cluster RCT

BACKGROUND

Pregnancy is a high-risk time for excessive weight gain. The rising prevalence of obesity in women, combined with excess weight gain during pregnancy, means that there are more women with obesity in the postnatal period. This can have adverse health consequences for women in later life and increases the health risks during subsequent pregnancies.

OBJECTIVE

The primary aim was to produce evidence of whether or not a Phase III trial of a brief weight management intervention, in which postnatal women are encouraged by practice nurses as part of the national child immunisation programme to self-monitor their weight and use an online weight management programme, is feasible and acceptable.

DESIGN

The research involved a cluster randomised controlled feasibility trial and two semistructured interview studies with intervention participants and practice nurses who delivered the intervention. Trial data were collected at baseline and 3 months later. The interview studies took place after trial follow-up.

SETTING

The trial took place in Birmingham, UK.

PARTICIPANTS

Twenty-eight postnatal women who were overweight/obese were recruited via Birmingham Women's Hospital or general practices. Nine intervention participants and seven nurses were interviewed.

INTERVENTIONS

The intervention was delivered in the context of the national child immunisation programme. The intervention group were offered brief support that encouraged self-management of weight when they attended their practice to have their child immunised at 2, 3 and 4 months of age. The intervention involved the provision of motivation and support by nurses to encourage participants to make healthier lifestyle choices through self-monitoring of weight and signposting to an online weight management programme. The role of the nurse was to provide regular external accountability for weight loss. Women were asked to weigh themselves weekly and record this on a record card in their child's health record ('red book') or using the online programme. The behavioural goal was for women to lose 0.5-1 kg per week. The usual-care group received a healthy lifestyle leaflet.

MAIN OUTCOME MEASURES

The primary outcome was the feasibility of a Phase III trial to test the effectiveness of the intervention, as assessed against three traffic-light stop-go criteria (recruitment, adherence to regular self-weighing and registration with an online weight management programme).

RESULTS

The traffic-light criteria results were red for recruitment (28/80, 35% of target), amber for registration with the online weight loss programme (9/16, 56%) and green for adherence to weekly self-weighing (10/16, 63%). Nurses delivered the intervention with high fidelity. In the qualitative studies, participants indicated that the intervention was acceptable to them and they welcomed receiving support to lose weight at their child immunisation appointments. Although nurses raised some caveats to implementation, they felt that the intervention was easy to deliver and that it would motivate postnatal women to lose weight.

LIMITATIONS

Fewer participants were recruited than planned.

CONCLUSIONS

Although women and practice nurses responded well to the intervention and adherence to self-weighing was high, recruitment was challenging and there is scope to improve engagement with the intervention.

FUTURE WORK

Future research should focus on investigating other methods of recruitment and, thereafter, testing the effectiveness of the intervention.

TRIAL REGISTRATION

Current Controlled Trials ISRCTN12209332.

FUNDING

This project was funded by the National Institute for Health Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 25, No. 49. See the NIHR Journals Library website for further project information.

Investigating partner involvement in pregnancy and identifying barriers and facilitators to participating as a couple in a digital healthy eating and physical activity intervention

BACKGROUND

Maternal obesity and excessive gestational weight gain are associated with adverse maternal and foetal health outcomes. Interventions targeting dietary and physical activity behaviours during pregnancy have typically been directed at women only. A digital intervention targeting couples could encourage expectant parents to support each other in improving energy balance (dietary and physical activity) behaviours.

AIMS

This study aimed to investigate the role partners play in pregnant women's energy balance behaviours, and to identify barriers and facilitators to participating as a couple in a digital intervention to encourage healthy eating and physical activity in pregnancy.

METHODS

A qualitative design combined online focus groups and telephone interviews. Three focus groups were held with men (n = 15) and one mini focus group (n = 3) and 12 telephone interviews were conducted with women. Participants were either in the last trimester of pregnancy or had a baby under 18 months old. Most were from more deprived population groups where prevalence of maternal obesity is higher. Data were analysed thematically. Barriers and facilitators to participating as a couple in a digital intervention were mapped to the COM-B model and the Theoretical Domains Framework.

RESULTS

Four main themes were identified; partner involvement and support; partner understanding of good energy balance behaviours; couple concordance of energy balance behaviours; partner influence on her energy balance behaviours. Most facilitators to participating in a digital intervention as a couple fell within the Reflective Motivation domain of COM-B. Men were motivated by the desire to be supportive partners and good role models. Women were motivated by their belief that partner involvement would improve their success in achieving goals and enhance couple-bonding. Other facilitators included concordance in dietary behaviours (Physical Opportunity), healthcare practitioner recommendation, perceptions of pregnancy as 'ours' (Social Opportunity) and feeling supported and involved (Automatic Motivation). Barriers were rarely mentioned but included potential for partner conflict, perceptions of pregnancy as 'hers' and economic constraints.

CONCLUSIONS

An opportunity exists to harness partner support to improve maternal energy balance behaviours. Barriers and facilitators to participating in a digital intervention as a couple indicate its potential to benefit emotional and relationship wellbeing in addition to physical health.

Exercise and the Prevention of Gestational Diabetes Mellitus

Gestational diabetes mellitus (GDM) is associated with pregnancy complications and fetal complications, as well as long-term health consequences for women and their offspring. Pregnancy is a pseudodiabetogenic state of increasing insulin resistance and decreasing insulin sensitivity, which places a woman at increased risk for GDM. Exercise facilitates the uptake of blood glucose into cells to be used for energy, making exercise a potential strategy in preventing GDM. Extensive evidence has found an association between consistent moderate to vigorous exercise in pregnancy and the prevention of GDM. With close attention to risk factors, maternity care nurses and other health care providers can play an important role in educating pregnant women on exercise recommendations to help them achieve optimal health and wellness.

Effects of eHealth interventions on physical activity and weight among pregnant and postpartum women and the sociodemographic characteristics of study populations: a systematic review protocol

OBJECTIVE

The objective of this review is to evaluate the impact of electronic health (eHealth) interventions on physical activity and weight changes among pregnant and/or postpartum populations and to describe the sociodemographic characteristics of the study populations.

INTRODUCTION

The American College of Obstetricians and Gynecologists recommends 20 minutes of daily physical activity during pregnancy and postpartum. Few pregnant women are physically active and among those who are, physical activity levels decline as pregnancy progresses and during postpartum. Behavioral eHealth interventions offer convenient and frequent accessibility at low cost and high reach. A search of the extant literature including PROSPERO, MEDLINE (PubMed), the Cochrane Database of Systematic Reviews and the JBI Database of Systematic Reviews and Implementation Reports revealed no published or in-progress reviews examining eHealth physical activity interventions among pregnant and/or postpartum populations.

INCLUSION CRITERIA

Studies of eHealth interventions including pregnant and/or within one-year postpartum populations will be included.

METHODS

This review will be conducted in accordance with JBI methodology for systematic reviews of effectiveness. The search strategy will aim to locate studies from the inception of each database. Citations will be collated, and duplicates removed. Titles and abstracts will be screened for eligibility against the inclusion criteria and relevant studies retrieved. Included studies will be appraised for methodological quality using JBI standardized critical appraisal instruments. Extracted data will include study methods, intervention design and outcomes (physical activity, weight, participant sociodemographic characteristics). The Grading of Recommendations, Assessment, Development and Evaluation approach for grading the certainty of evidence will be followed.

SYSTEMATIC REVIEW REGISTRATION NUMBER

PROSPERO CRD42020124611.

A meta-review of systematic reviews of lifestyle interventions for reducing gestational weight gain in women with overweight or obesity

Women with overweight or obesity are twice as likely to gain excessive gestational weight than women of normal weight. Identifying effective interventions to support this group achieve healthy gestational weight gain is important. An overview of systematic reviews regarding the effectiveness of lifestyle interventions on gestational weight gain in women with overweight or obesity was undertaken, including searching eight electronic databases. Quality of included reviews was assessed by two independent researchers. A narrative data synthesis was undertaken, with subgroup and sensitivity analyses by type of intervention and quality of the included reviews. A total of 15 systematic reviews were included within this meta-review. A small reduction in gestational weight gain of between 0.3 and 2.4 kg was noted with lifestyle interventions compared with standard care. There was some evidence that dietary only or physical activity only interventions may reduce the odds of gestational diabetes. No differences were noted in the odds of other maternal or infant health outcomes. Although lifestyle interventions appeared to decrease gestational weight gain, current evidence does not show a clear benefit on maternal and infant outcomes from the small nature of the reduction in gestational weight gain produced by lifestyle interventions in women with overweight or obesity.

The association between fetal growth and neonatal adiposity in urban South African infants

OBJECTIVE

To examine associations between maternal body mass index (BMI), gestational weight gain (GWG) and fetal growth and neonatal adiposity in urban South Africans.

METHODS

Maternal BMI was assessed at recruitment and GWG (kg/week) was calculated. Longitudinal fetal growth was measured via ultrasound and modelled using Superimposition by Translation and Rotation (SITAR). Neonatal adiposity was assessed using air displacement plethysmography or dual-energy X-ray absorptiometry. Multiple linear regression models were used to examine associations between maternal BMI, GWG and SITAR fetal growth parameters and neonatal fat mass index (FMI; kg/m³ ) in 304 mother-neonate pairs.

RESULTS

In pooled analyses, longitudinally modelled abdominal circumference size (β = 0.64 kg/m³ , P < .001) and velocity (β = 8.39 kg/m³ , P < .001) and biparietal diameter velocity (β = 4.55 kg/m³ , P = .020) were positively associated with neonatal FMI. GWG was positively associated with neonatal FMI in preliminary models (β = 1.07 kg/m³ per 1 kg/week; P = .040), with pooled models indicating mediation via fetal growth.

CONCLUSION

In utero abdominal growth is predictive of neonatal adiposity. Additionally, greater fetal growth - particularly of the abdominal circumference - mediates the effect of GWG on neonatal adiposity. In settings such as South Africa, strategies to ensure healthy pregnancy weight gain can contribute to prevention of intergenerational obesity risk.

The Effectiveness of Smoking Cessation, Alcohol Reduction, Diet and Physical Activity Interventions in Improving Maternal and Infant Health Outcomes: A Systematic Review of Meta-Analyses

Diet, physical activity, smoking and alcohol behaviour-change interventions delivered in pregnancy aim to prevent adverse pregnancy outcomes. This review reports a synthesis of evidence from meta-analyses on the effectiveness of interventions at reducing risk of adverse health outcomes. Sixty-five systematic reviews (63 diet and physical activity; 2 smoking) reporting 602 meta-analyses, published since 2011, were identified; no data were identified for alcohol interventions. A wide range of outcomes were reported, including gestational weight gain, hypertensive disorders, gestational diabetes (GDM) and fetal growth. There was consistent evidence from diet and physical activity interventions for a significantly reduced mean gestational weight gain (ranging from -0.21 kg (95% confidence interval -0.34, -0.08) to -5.77 kg (95% CI -9.34, -2.21). There was evidence from larger diet and physical activity meta-analyses for a significant reduction in postnatal weight retention, caesarean delivery, preeclampsia, hypertension, GDM and preterm delivery, and for smoking interventions to significantly increase birth weight. There was no statistically significant evidence of interventions having an effect on low or high birthweight, neonatal intensive care unit admission, Apgar score or mortality outcomes. Priority areas for future research to capitalise on pregnancy as an opportunity to improve the lifelong wellbeing of women and their children are highlighted.

Effectiveness of a Smartphone App to Promote Healthy Weight Gain, Diet, and Physical Activity During Pregnancy (HealthyMoms): Randomized Controlled Trial

Background

Excessive gestational weight gain (GWG) during pregnancy is a major public health concern associated with negative health outcomes for both mother and child. Scalable interventions are needed, and digital interventions have the potential to reach many women and promote healthy GWG. Most previous studies of digital interventions have been small pilot studies or have not included women from all BMI categories. We therefore examined the effectiveness of a smartphone app in a large sample (n=305) covering all BMI categories.

Objective

To investigate the effectiveness of a 6-month intervention (the HealthyMoms app) on GWG, body fatness, dietary habits, moderate-to-vigorous physical activity (MVPA), glycemia, and insulin resistance in comparison to standard maternity care.

Methods

A 2-arm parallel randomized controlled trial was conducted. Women in early pregnancy at maternity clinics in Östergötland, Sweden, were recruited. Eligible women who provided written informed consent completed baseline measures, before being randomized in a 1:1 ratio to either an intervention (n=152) or control group (n=153). The control group received standard maternity care while the intervention group received the HealthyMoms smartphone app for 6 months (which includes multiple features, eg, information; push notifications; self-monitoring; and feedback features for GWG, diet, and physical activity) in addition to standard care. Outcome measures were assessed at Linköping University Hospital at baseline (mean 13.9 [SD 0.7] gestational weeks) and follow-up (mean 36.4 [SD 0.4] gestational weeks). The primary outcome was GWG and secondary outcomes were body fatness (Bod Pod), dietary habits (Swedish Healthy Eating Index) using the web-based 3-day dietary record Riksmaten FLEX, MVPA using the ActiGraph wGT3x-BT accelerometer, glycemia, and insulin resistance.

Results

Overall, we found no statistically significant effect on GWG (P=.62); however, the data indicate that the effect of the intervention differed by pre-pregnancy BMI, as women with overweight and obesity before pregnancy gained less weight in the intervention group as compared with the control group in the imputed analyses (–1.33 kg; 95% CI –2.92 to 0.26; P=.10) and completers-only analyses (–1.67 kg; 95% CI –3.26 to –0.09; P=.031]). Bayesian analyses showed that there was a 99% probability of any intervention effect on GWG among women with overweight and obesity, and an 81% probability that this effect was over 1 kg. The intervention group had higher scores for the Swedish Healthy Eating Index at follow-up than the control group (0.27; 95% CI 0.05-0.50; P=.017). We observed no statistically significant differences in body fatness, MVPA, glycemia, and insulin resistance between the intervention and control group at follow up (P≥.21).

Conclusions

Although we found no overall effect on GWG, our results demonstrate the potential of a smartphone app (HealthyMoms) to promote healthy dietary behaviors as well as to decrease weight gain during pregnancy in women with overweight and obesity.

Trial Registration

ClinicalTrials.gov NCT03298555; https://clinicaltrials.gov/ct2/show/NCT03298555

International Registered Report Identifier (IRRID)

RR2-10.2196/13011

A Randomized Controlled Trial to Evaluate the Effects of a Smartphone Application-Based Lifestyle Coaching Program on Gestational Weight Gain, Glycemic Control, and Maternal and Neonatal Outcomes in Women With Gestational Diabetes Mellitus: The SMART-GDM Study

OBJECTIVE

SMART-GDM examined whether Habits-GDM, a smartphone application (app) coaching program, can prevent excessive gestational weight gain (EGWG) and improve glycemic control and maternal and neonatal outcomes in gestational diabetes mellitus (GDM).

RESEARCH DESIGN AND METHODS

In this randomized controlled trial, women diagnosed with GDM between 12 and 30 weeks were randomly assigned to usual care (control) or to additional support from Habits-GDM that integrated dietary, physical activity, weight, and glucose monitoring (intervention). The primary outcome was the proportion of participants with EGWG. Secondary outcomes included absolute gestational weight gain (GWG), glycemic control, and maternal, delivery, and neonatal outcomes.

RESULTS

In total, 340 women were randomized (170 intervention, 170 control; mean ± SD age 32.0 ± 4.2 years; mean BMI 25.6 ± 5.6 kg/m²). There were no statistically significant differences in the proportions of women with EGWG, absolute GWG, or maternal and delivery outcomes between experimental groups. Average glucose readings were lower in the intervention group (mean difference -0.15 mmol/L [95% CI -0.26; -0.03], P = 0.011) as were the proportions of glucose above targets (premeal: 17.9% vs. 23.3%, odds ratio 0.68 [95% CI 0.53; 0.87], P = 0.003; 2-h postmeal: 19.9% vs. 50%, 0.54 [0.42; 0.70], P < 0.001). When regarded as a composite (although not prespecified), the overall neonatal complications (including birth trauma, neonatal hypoglycemia, hyperbilirubinemia, respiratory distress, neonatal intensive care unit admission, and perinatal death) were significantly lower in the intervention group (38.1% vs. 53.7%, 0.53 [0.34; 0.84], P = 0.006).

CONCLUSIONS

When added to usual care, Habits-GDM resulted in better maternal glycemic control and composite neonatal outcomes (nonprespecified) but did not reduce EGWG among women with GDM.

Collateral Damage: Maternal Obesity During Pregnancy Continues to Rise

Importance

The pandemic of obesity during pregnancy now afflicts 1 out of every 2 pregnant women in the United States. Even though unintended pregnancy has decreased to 45% of all pregnancies, 50% of those unintended pregnancies occur in obese women.

Objective

This study aims to identify why current lifestyle interventions for obese pregnancy are not effective and what the newer complications are for obesity during pregnancy.

Evidence Acquisition

Available literatures on current treatments for maternal obesity were reviewed for effectiveness. Emerging maternal and infant complications from obesity during pregnancy were examined for significance.

Results

Limitations in successful interventions fell into 3 basic categories to include the following: (1) preconception weight loss; (2) bariatric surgery before pregnancy; and (3) prevention of excessive gestational weight gain during pregnancy. Emerging significant physiological changes from maternal obesity is composed of inflammation (placenta and human milk), metabolism (hormones, microbiome, fatty acids), and offspring outcomes (body composition, congenital malformations, chronic kidney disease, asthma, neurodevelopment, and behavior).

Conclusions and Relevance

Are current prepregnancy lifestyle and behavioral interventions feasible to prevent maternal obesity complications? Epigenetic and metabolomic research will be critical to determine what is needed to blunt the effects of maternal obesity and to discover successful treatment.

Exclusively Digital Health Interventions Targeting Diet, Physical Activity, and Weight Gain in Pregnant Women: Systematic Review and Meta-Analysis

BACKGROUND

Interventions to promote a healthy diet, physical activity, and weight management during pregnancy are increasingly embracing digital technologies. Although some interventions have combined digital with interpersonal (face-to-face or telephone) delivery, others have relied exclusively on digital delivery. Exclusively digital interventions have the advantages of greater cost-effectiveness and broader reach and as such can be a valuable resource for health care providers.

OBJECTIVE

This systematic review aims to focus on exclusively digital interventions to determine their effectiveness, identify behavior change techniques (BCTs), and investigate user engagement.

METHODS

A total of 6 databases (Medical Literature Analysis and Retrieval System Online [MEDLINE], Excerpta Medica dataBASE [EMBASE], PsycINFO, Cumulated Index to Nursing and Allied Health Literature [CINAHL] Plus, Web of Science, and ProQuest) were searched for randomized controlled trials or pilot control trials of exclusively digital interventions to encourage healthy eating, physical activity, or appropriate weight gain during pregnancy. The outcome measures were gestational weight gain (GWG) and changes in physical activity and dietary behaviors. Study quality was assessed using the Cochrane Risk of Bias tool 2.0. Where possible, pooled effect sizes were calculated using a random effects meta-analysis.

RESULTS

In total, 11 studies met the inclusion criteria. The risk of bias was mostly high (n=5) or moderate (n=3). Of the 11 studies, 6 reported on GWG as the primary outcome, 4 of which also measured changes in physical activity and dietary behaviors, and 5 studies focused either on dietary behaviors only (n=2) or physical activity only (n=3). The meta-analyses showed no significant benefit of interventions on total GWG for either intention-to-treat data (-0.28 kg; 95% CI -1.43 to 0.87) or per-protocol data (-0.65 kg; 95% CI -1.98 to 0.67). Substantial heterogeneity in outcome measures of change in dietary behaviors and physical activity precluded further meta-analyses. BCT coding identified 7 BCTs that were common to all effective interventions. Effective interventions averaged over twice as many BCTs from the goals and planning, and feedback and monitoring domains as ineffective interventions. Data from the 6 studies reporting on user engagement indicated a positive association between high engagement with key BCTs and greater intervention effectiveness. Interventions using proactive messaging and feedback appeared to have higher levels of engagement.

CONCLUSIONS

In contrast to interpersonal interventions, there is little evidence of the effectiveness of exclusively digital interventions to encourage a healthy diet, physical activity, or weight management during pregnancy. In this review, effective interventions used proactive messaging, such as reminders to engage in BCTs, feedback on progress, or tips, suggesting that interactivity may drive engagement and lead to greater effectiveness. Given the benefits of cost and reach of digital interventions, further research is needed to understand how to use advancing technologies to enhance user engagement and improve effectiveness.

Lifestyle information and access to a commercial weight management group to promote maternal postnatal weight management and positive lifestyle behaviour: the SWAN feasibility RCT

Background

Increasing numbers of UK women have overweight or obese body mass index scores when they become pregnant, or gain excessive weight in pregnancy, increasing their risk of adverse outcomes. Failure to manage postnatal weight is linked to smoking, non-healthy dietary choices, lack of regular exercise and poorer longer-term health. Women living in areas of higher social deprivation are more likely to experience weight management problems postnatally.

Objectives

The objectives were to assess the feasibility of conducting a definitive randomised controlled trial to determine the clinical effectiveness and cost-effectiveness of lifestyle information and access to a commercial weight management group focusing on self-monitoring, goal-setting and motivation to achieve dietary change commencing 8–16 weeks postnatally to achieve and maintain weight management and positive lifestyle behaviour.

Design

The design was a randomised two-arm feasibility trial with a nested mixed-methods process evaluation.

Setting

The setting was a single centre in an inner city setting in the south of England.

Participants

Participants were women with body mass index scores of > 25 kg/m2 at antenatal ‘booking’ and women with normal body mass index scores (18.0–24.9 kg/m2) at antenatal booking who developed excessive gestational weight gain as assessed at 36 weeks’ gestation.

Main outcome measures

Recruitment, retention, acceptability of trial processes and identification of relevant economic data were the feasibility objectives. The proposed primary outcome was difference between groups in weight at 12 months postnatally, expressed as percentage weight change and weight loss from antenatal booking. Other proposed outcomes included assessment of diet, physical activity, smoking, alcohol consumption, body image, maternal esteem, mental health, infant feeding and NHS costs.

Results

Most objectives were achieved. A total of 193 women were recruited, 98 allocated to the intervention arm and 95 to the control arm. High follow-up rates (> 80%) were achieved to 12 months. There was an 8.8% difference in weight loss at 12 months between women allocated to the intervention arm and women allocated to the control arm (13.0% vs. 4.2%, respectively; p = 0.062); 47% of women in the intervention arm attended at least one weight management session, with low risk of contamination between arms. The greatest benefit was among women who attended ≥ 10 sessions. Barriers to attending sessions included capability, opportunity and motivation issues. Data collection tools were appropriate to support economic evaluation in a definitive trial, and economic modelling is feasible to quantify resource impacts and outcomes not directly measurable within a trial.

Limitations

The trial recruited from only one site. It was not possible to recruit women with normal body mass index scores who developed excessive pregnancy weight gain.

Conclusions

It was feasible to recruit and retain women with overweight or obese body mass index scores at antenatal booking to a trial comparing postnatal weight management plus standard care with standard care only and collect relevant data to assess outcomes. Approaches to recruit women with normal body mass index scores who gain excessive gestational weight need to be considered. Commercial weight management groups could support women’s weight management as assessed at 12 months postnatally, with probable greater benefit from attending ≥ 10 sessions. Process evaluation findings highlighted the importance of providing more information about the intervention on trial allocation, extended duration of time to commence sessions following birth and extended number of sessions offered to enhance uptake and retention. Results support the conduct of a future randomised controlled trial.

Trial registration

Current Controlled Trials ISRCTN39186148.

Funding

This project was funded by the National Institute for Health Research (NIHR) Public Health Research programme and will be published in full in Public Health Research; Vol. 8, No. 9. See the NIHR Journals Library website for further project information.

The effectiveness of smoking cessation, alcohol reduction, diet and physical activity interventions in changing behaviours during pregnancy: A systematic review of systematic reviews

BACKGROUND

Pregnancy is a teachable moment for behaviour change. Multiple guidelines target pregnant women for behavioural intervention. This systematic review of systematic reviews reports the effectiveness of interventions delivered during pregnancy on changing women's behaviour across multiple behavioural domains.

METHODS

Fourteen databases were searched for systematic reviews published from 2008, reporting interventions delivered during pregnancy targeting smoking, alcohol, diet or physical activity as outcomes. Data on behaviour change related to these behaviours are reported here. Quality was assessed using the JBI critical appraisal tool for umbrella reviews. Consistency in intervention effectiveness and gaps in the evidence-base are described.

RESULTS

Searches identified 24,388 results; 109 were systematic reviews of behaviour change interventions delivered in pregnancy, and 36 reported behavioural outcomes. All smoking and alcohol reviews identified reported maternal behaviours as outcomes (n = 16 and 4 respectively), whereas only 16 out of 89 diet and/or physical activity reviews reported these behaviours. Most reviews were high quality (67%) and interventions were predominantly set in high-income countries. Overall, there was consistent evidence for improving healthy diet behaviours related to increasing fruit and vegetable consumption and decreasing carbohydrate intake, and fairly consistent evidence for increase in some measures of physical activity (METs and VO2 max) and for reductions in fat intake and smoking during pregnancy. There was a lack of consistent evidence across reviews reporting energy, protein, fibre, or micronutrient intakes; smoking cessation, abstinence or relapse; any alcohol behaviours.

CONCLUSIONS

The most consistent review evidence is for interventions improving dietary behaviours during pregnancy compared with other behaviours, although the majority of diet reviews prioritised reporting health-related outcomes over behavioural outcomes. Heterogeneity between reported behaviour outcomes limits ability to pool data in meta-analysis and more consistent reporting is needed. Limited data are available for alcohol interventions in pregnancy or interventions in low- or middle-income-countries, which are priority areas for future research.

Are Lifestyle Interventions to Reduce Excessive Gestational Weight Gain Cost Effective? A Systematic Review

PURPOSE OF REVIEW

Lifestyle interventions (such as diet and physical activity) successfully limit excessive gestational weight gain and can reduce some adverse maternal events; however, benefit is variable and cost-effectiveness remains unclear. We aimed to review published cost-effectiveness analyses of lifestyle interventions compared with usual care on clinically relevant outcome measures. Five international and six grey-literature databases were searched from 2007 to 2018. Articles were assessed for quality of reporting. Data were extracted from healthcare and societal perspectives. Costs were adapted to the common currencies of Australia and the United Kingdom by adjusting for resource utilization, healthcare purchase price and changes in costs over time. Included studies were economic analyses of lifestyle interventions aiming to limit weight-gain during pregnancy and/or reduce risk of gestational diabetes, for women with a BMI of 25 or greater in pre- or early-pregnancy.

RECENT FINDINGS

Of the 538 articles identified, six were retained for review: one modelling study and five studies in which an economic analysis was performed alongside a randomized-controlled trial. Outcome measures included infant birth-weight, fasting glucose, insulin resistance, gestational weight-gain, infant respiratory distress syndrome, perceived health, cost per case of adverse outcome avoided and quality-adjusted life years (QALYs). Interventions were cost-effective in only one study. Although many studies have investigated the efficacy of lifestyle interventions in pregnancy, few have included cost-effectiveness analyses. Where cost-effectiveness studies were undertaken, results were inconsistent. Secondary meta-analysis, taxonomy and framework research is now required to determine the effective components of lifestyle interventions and to guide future cost-effectiveness analyses.

From conception to infancy - early risk factors for childhood obesity

Maternal lifestyle during pregnancy, as well as early nutrition and the environment infants are raised in, are considered relevant factors for the prevention of childhood obesity. Several models are available for the prediction of childhood overweight and obesity, yet most have not been externally validated. Moreover, the factors considered in the models differ among studies as the outcomes manifest after birth and depend on maturation processes that vary between individuals. The current Review examines and interprets data on the early determinants of childhood obesity to provide relevant strategies for daily clinical work. We evaluate a selection of prenatal and postnatal factors associated with child adiposity. Actions to be considered for preventing childhood obesity include the promotion of healthy maternal nutrition and weight status at reproductive age and during pregnancy, as well as careful monitoring of infant growth to detect early excessive weight gain. Paediatricians and other health-care professionals should provide scientifically validated, individual nutritional advice to families to counteract excessive adiposity in children. Based on systematic reviews, original papers and scientific reports, we provide information to help with setting up public health strategies to prevent overweight and obesity in childhood.

Behavioural weight management interventions for postnatal women: A systematic review of systematic reviews of randomized controlled trials

This systematic review of systematic reviews investigated the effectiveness of lifestyle weight management interventions for postnatal women. We systematically reviewed Medline (PubMed), Embase, CINAHL Plus, The Cochrane Library, and Scopus from 2000 until January 2018, to identify systematic reviews of randomized controlled trials that evaluated the effectiveness of behavioural lifestyle interventions for weight management in postnatal women. Results were summarized both descriptively and statistically using a mega meta-analysis of data from randomized controlled trials included in previous systematic reviews. Nine systematic reviews met our inclusion criteria. Overall the reviews concluded that lifestyle interventions involving physical activity and/or dietary changes resulted in a reduction in postnatal weight. Results from the overall mega meta-analysis confirmed this finding with a mean difference of -1.7 kg (95% CI, -2.3 to -1.1). Findings for subgroup analyses gave mean differences of -1.9 kg (95% CI, -2.9 to -1.0) for combined diet and physical activity interventions, -1.6 kg (95% CI, -2.1 to -1.2) for physical activity-only interventions, and -9.3 kg (95% CI, -16.5 to -2.1) for diet-only interventions (one study). Heterogeneity varied from 0% to 68%. Interventions involving lifestyle interventions appeared to be effective in reducing weight in postnatal women, although these findings should be interpreted with some caution due to statistical heterogeneity.

Effect of Lifestyle Coaching Including Telemonitoring and Telecoaching on Gestational Weight Gain and Postnatal Weight Loss: A Systematic Review

Background: Obesity during pregnancy, excessive gestational weight gain (GWG), and postpartum weight retention (PPWR) are associated with health risks for mothers and their offspring. Face-to-face lifestyle interventions can reduce GWG and PPWR, but they are resource-demanding and effects on long-term maternal and fetal outcomes are scarce. Objectives: To explore the existing literature about the effect of technology-supported lifestyle interventions including telemonitoring and-coaching on GWG and PPWR. Methods: PudMed, MEDLINE, CINAHL, EMBASE (incl. The Cochrane databases), and Web of Science databases were searched for relevant studies published since 2000. Inclusion criteria were: lifestyle interventions to optimize GWG or PPWR with at least mobile applications or websites, focusing on physical activity (PA), healthy eating (HE), and/or psychological well-being, including self-monitoring with telemonitoring and telecoaching. Results: The technology-supported interventions in seven study protocols and four pilot studies differed in terms of the used behavior change models, their focus on different lifestyle issues, and their intervention components for telemonitoring and telecoaching. Technology-supported interventions including telemonitoring and coaching can optimize GWG and PPWR, although not all results are significant. Effects on PA and HE are inconsistent. Conclusions: Technology-supported lifestyle interventions might affect GWG and PPWR, but more research is needed to examine the effectiveness, the usability, and the critical features of these interventions.

Development of a Healthy Lifestyle Mobile App for Overweight Pregnant Women: Qualitative Study

Background

Mobile apps are becoming an increasingly ubiquitous platform for delivery of health behavior interventions among overweight and obese perinatal women. However, only a few methodological guidelines on integrating theory, evidence, and qualitative research for their designs are available.

Objective

The aim of this study was to develop a theory-based, evidence-driven, and user-centered healthy lifestyle app targeting overweight and obese multiethnic pregnant women.

Methods

This paper illustrates how intervention development may be enriched with theoretical basis, systematic review, and qualitative study. An individual face-to-face interview was performed to incorporate the user’s involvement in the design. These interviews were audiotaped and transcribed. Thematic analysis technique was used for emerging themes.

Results

Integrated concepts of social cognitive theory of self-regulation, self-regulation model, and strength model of self-control were selected as bases of the intervention. Evidence from our systematic review and meta-analysis provided the strongest evidence for the development of intervention. We invited 16 obese or overweight pregnant women to participate in a semistructured interview . The following key themes emerged: content, platform, interactivity, format, and functionality. Apps are a favorable technology platform for healthy diet advice, appropriate physical exercise, and weight management because they are user-friendly and convenient. The app used in this study contains culture-specific, pregnancy-related, and credible contents, including educational, professional and peer support, and self-monitoring domains. The design should include aesthetic appeal, visualized features, and interactive multimedia.

Conclusions

A 3-step process integrating theoretical basis, evidence from systematic review, and research findings from target users can be considered a guide for future app development.

Obesity and Weight Gain in Pregnancy and Postpartum: an Evidence Review of Lifestyle Interventions to Inform Maternal and Child Health Policies

Background: Maternal obesity, excessive gestational weight gain (GWG) and post-partum weight retention (PPWR) constitute new public health challenges, due to the association with negative short- and long-term maternal and neonatal outcomes. The aim of this evidence review was to identify effective lifestyle interventions to manage weight and improve maternal and infant outcomes during pregnancy and postpartum. Methods: A review of systematic reviews and meta-analyses investigating the effects of lifestyle interventions on GWG or PPWR was conducted (Jan 2009-2018) via electronic searches in the databases Medline, Pubmed, Web of Science and Cochrane Library using all keywords related to obesity/weight gain/loss, pregnancy or postpartum and lifestyle interventions;15 relevant reviews were selected. Results: In healthy women from all BMI classes, diet and physical activity interventions can decrease: GWG (mean difference -1.8 to -0.7 kg, high to moderate-quality evidence); the risks of GWG above the IOM guidelines (risk ratio [RR] 0.72 to 0.80, high to low-quality evidence); pregnancy-induced hypertension (RR 0.30 to 0.66, low to very low-quality evidence); cesarean section (RR 0.91 to 0.95; high to moderate-quality evidence) and neonatal respiratory distress syndrome (RR 0.56, high-quality evidence); without any maternal/fetal/neonatal adverse effects. In women with overweight/obesity, multi-component interventions can decrease: GWG (-0.91 to -0.63 kg, moderate to very low-quality evidence); pregnancy-induced hypertension (RR 0.30 to 0.66, low-quality evidence); macrosomia (RR 0.85, 0.73 to 1.0, moderate-quality evidence) and neonatal respiratory distress syndrome (RR 0.47, 0.26 to 0.85, moderate-quality evidence). Diet is associated with greater reduction of the risks of GDM, pregnancy-induced hypertension and preterm birth, compared with any other intervention. After delivery, combined diet and physical activity interventions reduce PPWR in women of any BMI (-2.57 to -2.3 kg, very low quality evidence) or with overweight/obesity (-3.6 to -1.22, moderate to very low-quality-evidence), but no other effects were reported. Conclusions: Multi-component approaches including a balanced diet with low glycaemic load and light to moderate intensity physical activity, 30-60 min per day 3-5 days per week, should be recommended from the first trimester of pregnancy and maintained during the postpartum period. This evidence review should help inform recommendations for health care professionals and women of child-bearing age.

A Pilot Randomized Controlled Trial of a Technology-Based Approach for Preventing Excess Weight Gain during Pregnancy among Women with Overweight

OBJECTIVE

Overweight/obesity and excess weight gain during pregnancy are associated with adverse maternal and neonatal outcomes. Few interventions have been effective in limiting gestational weight gain among women with overweight or obesity. This pilot, randomized clinical trial compared treatment as usual (TAU) to a lifestyle modification program delivered via phone for the prevention of excess gestational weight gain in women who had overweight or obesity.

METHODS

Participants included 41 pregnant women with a body mass index (BMI) ≥ 25 kg/m2 (mean age = 28.7 ± 5.8 years; mean pre-gravid BMI = 31.2 ± 6.2 kg/m2; 54% black, 39% white). The intervention group (n = 20) received weekly telephone counseling sessions and used WiFi scales to monitor their weight from weeks 16 to 36 of pregnancy. We compared differences in weight and birth outcomes for the intervention vs. the TAU group (n = 21).

RESULTS

The intervention and TAU groups did not differ with respect to: gestational weight gain (15.5 ± 5.3 vs. 13.3 ± 6.8 kg, respectively); proportion gaining above the 2009 Institute of Medicine recommended weight range (83 vs. 70%); and weight gain from pre-pregnancy weight to 6 weeks postpartum (4.8 ± 4.6 vs. 3.0 ± 5.5 kg). Other birth and health outcomes also did not differ.

CONCLUSION

A telemedicine intervention designed to decrease logistical burden on participants was not more successful in reducing excessive weight gain during pregnancy as compared to TAU. Future studies should examine more intensive forms of remote treatment beginning earlier in pregnancy as well as interventions promoting a healthy weight prior to pregnancy.