Exploring health professionals' knowledge, practices and attitudes regarding gestational diabetes: A cross-sectional Irish national survey.

AIM: Gestational diabetes confers short- and long-term risk of mother and offspring health complications. Healthcare professionals such as endocrinologists, diabetes nurses, dietitians, midwives and general practitioners provide gestational diabetes care. We sought to explore healthcare professionals' perspectives on gestational diabetes care during pregnancy and postpartum. METHODS: Healthcare professionals in the Republic of Ireland, whose role included gestational diabetes care were invited to complete an online 20-item survey between June and September 2022. Social media, professional organisations and personal networks were used for recruitment. Questions included guideline use, postpartum diabetes screening and advice practices. Analyses were performed using SPSS statistical software and free text was coded using NVivo. RESULTS: Seventeen healthcare professions across primary and secondary care settings participated (n = 127). No differences were noted between groups (medical, nursing/midwifery, allied health/other); therefore, findings were reported as a single group. Healthcare professionals reported using multiple different guidelines to support gestational diabetes management (n = 14). The most cited were 'Health Service Executive guidelines' (24.5%), 'local guidelines' (13.2%) and National Institute for Clinical Excellence guidelines (11.3%); 12.3% cited uncertainty, and 27.5% reported not to follow any named guidelines. For postpartum follow-up, 39% felt clear guidelines were available to support practice, 37% felt appropriate systems were in place and 29% reported effective communication between primary and secondary care services. Qualitative findings emphasised a desire for improved communication between systems, participants and providers, clear interdisciplinary guidelines, and adequate resourcing for gestational diabetes management and postpartum diabetes prevention, including comprehensive support and follow-up. CONCLUSION: System-level challenges and ineffective communication across settings are barriers to optimum postpartum care. Nationally agreed guidelines for best practice gestational diabetes management including postpartum diabetes prevention are needed.

Protocol for cost-effectiveness analysis of a randomised trial of mHealth coaching (Bump2Baby and Me) compared with usual care for healthy gestational weight gain and postnatal outcomes in at-risk women and their offspring in the UK, Australia, Ireland and Spain.

INTRODUCTION: Gestational diabetes mellitus and overweight are associated with an increased likelihood of complications during birth and for the newborn baby. These complications lead to increased immediate and long-term healthcare costs as well as reduced health and well-being in women and infants. This protocol presents the health economic evaluation to investigate the cost-effectiveness of Bump2Baby and Me (B2B&Me), which is a health coaching intervention delivered via smartphone to women at risk of gestational diabetes. METHODS AND ANALYSIS: Using data from the B2B&Me randomised controlled trial, this economic evaluation compares costs and health effects between the intervention and control group as an incremental cost-effectiveness ratio. Direct healthcare costs, costs of pharmaceuticals and intervention costs will be included in the analysis, body weight and quality-adjusted life-years for the mother will serve as the effect outcomes. To investigate the long-term cost-effectiveness of the trial, a Markov model will be employed. Deterministic and probabilistic sensitivity analysis will be employed. ETHICS AND DISSEMINATION: The National Maternity Hospital Human Research and Ethics Committee was the primary approval site (EC18.2020) with approvals from University College Dublin HREC-Sciences (LS-E-20-150-OReilly), Junta de Andalucia CEIM/CEI Provincial de Granada (2087-M1-22), Monash Health HREC (RES-20-0000-892A) and National Health Service Health Research Authority and Health and Care Research Wales (HCRW) (21/WA/0022). The results from the analysis will be disseminated in scientific papers, through conference presentations and through different channels for communication within the project. TRIAL REGISTRATION NUMBER: ACTRN12620001240932.

Women's perspectives on mHealth behavior change interventions for the management of overweight, obesity, or gestational diabetes: A qualitative meta-synthesis.

mHealth interventions play an increasingly important role in health behavior change for gestational diabetes or peripartum obesity management. This qualitative systematic review and meta-synthesis aims to explore women's perceptions of mHealth behavior change interventions for gestational diabetes and/or overweight/obesity management during pregnancy and the postpartum period. Cumulative Index of Nursing and Allied Health Literature (CINAHL), Cochrane, Excerpta Medica Database (EMBASE), Medical Literature Analysis and Retrieval System Online (MEDLINE), and Psychological Information Database (PsycINFO) databases were searched using a Sample, Phenomenon of Interest, Design, Evaluation and Research type (SPIDER) concept framework through to February 2024. Included studies were quality assessed using the Critical Appraisal Skills Programme checklist. Study findings were evaluated using reflexive thematic analysis and GRADE-Confidence in the Evidence from Reviews of Qualitative Research (CERQual) checklist. We identified 29 studies, representing 604 women's views from one upper middle-income and nine high-income countries. Two themes were generated: mHealth as a supportive tool; and mHealth as a personalizable tool. Women highlighted the importance of self-monitoring, information trustworthiness, peer support, motivational tools (goal setting, risk awareness, and problem solving) and convenience in achieving behavior change using mHealth technology. They suggest mHealth programs incorporate these elements to support user engagement and improved health outcomes. Understanding what women want as mHealth users is particularly important for effective interventions in gestational diabetes, weight management, and chronic disease prevention. Creating a better, more woman-centered experience by addressing central engagement issues should result in improved maternal health outcomes.

Stability of child appetitive traits and association with diet quality at 5 years and 9-11 years old: Findings from the ROLO longitudinal birth cohort study.

BACKGROUND: We explored change in child appetitive traits from 5 to 9-11 years old and examined associations between appetitive traits at both timepoints and child diet quality. METHODS: This is secondary analyses of the ROLO longitudinal birth cohort study, including mother-child dyads from the 5 and 9-11-year old follow-up. The Children's Eating Behaviour Questionnaire measured child appetitive traits, with 167 children having matched data for both timepoints. The Healthy Eating Index (HEI) measured diet quality. Linear mixed models and multiple linear regression were completed. RESULTS: Mean (SD) score for 'Emotional Overeating' (1.63 (0.51) vs. 1.99 (0.57), p = <0.001) and 'Enjoyment of Food' (3.79 (0.72) vs. 3.98 (0.66), p = <0.001) increased from 5 to 9-11 years. Mean score for 'Desire to Drink' (2.63 (0.94) vs. 2.45 (0.85), p = 0.01), 'Satiety Responsiveness (3.07 (0.66) vs. 2.71 (0.66), p = <0.001), 'Slowness Eating' (3.02 (0.77) vs. 2.64 (0.78), p = <0.001), and 'Food Fussiness' (3.00 (1.04) vs. 2.81 (0.96), p = 0.001) decreased. At 5-years-old, 'Food Responsiveness' and 'Enjoyment of Food' were positively associated with HEI and 'Desire to Drink', 'Satiety Responsiveness' and 'Food Fussiness' were negatively associated with HEI. At 9-11-years, 'Enjoyment of Food' was positively and 'Desire to Drink' and 'Food 'Fussiness' were negatively associated with HEI. CONCLUSIONS: Food approach appetitive traits increased over time, whereas food avoidant appetitive traits tended to decrease. At both time points 'Food Fussiness' and 'Desire to Drink" were inversely associated with HEI. Further research on how appetitive traits track over childhood and how this relates to dietary quality and weight is warranted.

Breastfeeding duration is associated with favorable body composition and lower glycoprotein acetyls in later life.

OBJECTIVE: The aim of the present study was to investigate associations between lifetime breastfeeding behaviors and cardiovascular risk in later reproductive years. METHOD: This was a prospective 10-year longitudinal cohort study of 168 parous women. Health, lifestyle and infant feeding questionnaires, blood samples, anthropometry and body composition were collected. Cardiovascular risk was estimated using QRISK®3 and hierarchical multiple linear regression analysis performed. RESULTS: Mean age was 42.4 years (SD 3.8; range 31-50) and 98.7% (n = 156/158) were premenopausal. Ever breastfeeding rates were 72.6% (n = 122/168) and 37.5% (n = 63/168) lifetime ≥12 months breastfeeding duration. Median durations were 5.5 weeks for exclusive breastfeeding (IQR 35.8; range 0-190) and 30.5 weeks for any breastfeeding (IQR 84.0; range 0-488). Breastfeeding duration was not associated with QRISK®3 scores in adjusted models. Lower glycoprotein acetyls were associated with ever breastfeeding (P = 0.03), and lifetime breastfeeding ≥12 months (P = 0.001). Lifetime breastfeeding ≥12 months and longer exclusive breastfeeding were associated with lower fat mass index (P = 0.03, P = 0.01), tissue percentage fat (P = 0.02, P = 0.009) and visceral adipose tissue volume (P = 0.04, P = 0.025) after correcting for confounders including body mass index. CONCLUSION: Longer breastfeeding is associated with favorable body composition and lower glycoprotein acetyls, a novel inflammatory biomarker associated with cardiometabolic risk. Breastfeeding is a low-cost, health promoting behavior for women and infants. Pregnant women, especially those at higher risk of cardiovascular disease, should be counseled about the potential benefits of exclusive and longer breastfeeding duration.

FIGO Preconception Checklist: Preconception care for mother and baby.

The preconception period is a unique and opportunistic time in a woman's life when she is motivated to adopt healthy behaviors that will benefit her and her child, making this time period a critical "window of opportunity" to improve short- and long-term health. Improving preconception health can ultimately improve both fetal and maternal outcomes. Promoting health before conception has several beneficial effects, including an increase in seeking antenatal care and a reduction in neonatal mortality. Preconception health is a broad concept that encompasses the management of chronic diseases, including optimal nutrition, adequate consumption of folic acid, control of body weight, adoption of healthy lifestyles, and receipt of appropriate vaccinations. Use of the FIGO Preconception Checklist, which includes the key elements of optimal preconception care, will empower women and their healthcare providers to better prepare women and their families for pregnancy.

Multicomponent perinatal breastfeeding support in women with BMI >25: The Latch On multi-centre randomised trial.

OBJECTIVE: To investigate the effectiveness of a multicomponent breastfeeding support intervention on breastfeeding prevalence at 3 months among women with a body mass index (BMI) >25 kg/m2 . DESIGN: Multicentre multicomponent randomised controlled trial. SETTING: Four maternity centres in Ireland. POPULATION: A total of 225 primiparous women and their nominated support partners. Participants were aged 18 years and over, with BMI ≥25 kg/m2 , carrying a singleton pregnancy and without contraindication for breastfeeding. METHODS: The intervention included an antenatal group breastfeeding education session for participants and their support partners, followed by a planned postnatal breastfeeding assessment and telephone support for up to 6 weeks by a lactation consultant. MAIN OUTCOME MEASURES: Any breastfeeding at 3 months postpartum. RESULTS: Any breastfeeding prevalence was 68.7% (n = 68) in the intervention group and 62.1% (n = 59) in the control group at 3 months postpartum (odds ratio 1.33, 95% confidence interval 0.72-2.46, p = 0.36). Any and exclusive breastfeeding rates did not significantly differ at any other time point. More women in the control group accessed support from private lactation consultants (intervention 23.5% [n = 12], control 45.3% [n = 24], p = 0.02). CONCLUSIONS: The control group had higher than expected breastfeeding rates, and the study found no evidence of effect on the primary outcome. Providing comprehensive education and support for women intending to breastfeed remains of paramount importance.

Development of the EVIBEC Learning Outcomes Framework to support the delivery of evidence-based practice curricula in health care professional programmes: a codesign approach.

BACKGROUND: All healthcare professional education programmes must adopt a systematic approach towards ensuring graduates achieve the competencies required to be an evidence-based practitioner. While a list of competencies for evidence-based practice exist, health care educators continue to struggle with effectively integrating the necessary competencies into existing curricula. The purpose of this project was to develop an open access cross-discipline, learning outcomes framework to support educators in integrating the teaching, learning and assessment required to ensure all graduates of health care professional programmes can achieve the necessary evidence-based practice competencies. METHODS: An interdisciplinary team of health care professional educators and a librarian completed a review of the health professions literature on the teaching and assessment of evidence-based practice. The literature, coupled with the teams' collective experiences in evidence-based education and research, were used to identify relevant teaching, learning and evidence-based competency frameworks to inform the project design. The guide and toolkit for experience-based co-design developed by the National Health Service Institute for Innovation and Improvement was adopted for this study ( Institute for Innovation and Improvement: Experience Based Design: Guide & Tools In. Leeds: NHS; 2009.). A four-step approach involving three online participatory co-design workshops and a national validation workshop was designed. Students (n = 33), faculty (n = 12), and clinical educators (n = 15) participated in formulating and mapping learning outcomes to evidence-based competencies. RESULTS: Through a rigorous, systematic co-design process the Evidenced-based Education Collaborative (EVIBEC) Learning Outcomes Framework was developed. This framework consists of a series of student-centred learning outcomes, aligned to evidence-based practice competencies, classified according to the 5 As of EBP and mapped to the cognitive levels of Bloom's taxonomy. Associated learning activities for each step of EBP are suggested. CONCLUSIONS: A consensus-based, student-centred learning outcomes framework aligned to a contemporary set of EBP core competencies has been developed. The freely accessible EVIBEC framework may support entry level health care professional EBP education, by informing EBP curriculum development and offering the potential for interdisciplinary approaches to and sharing of valuable teaching and learning resources. Co-design proved an effective method in creating and refining this framework.

Implementing weight management during and after pregnancy to reduce diabetes and CVD risk in maternal and child populations.

Maintaining a healthy weight during pregnancy is critical for both women's and children's health. Excessive gestational weight gain (GWG) can lead to complications such as gestational diabetes, hypertension and caesarean delivery. Insufficient GWG can cause fetal growth restriction and increase infant mortality risk. Additionally, postpartum weight retention raises risk of obesity, type 2 diabetes and other chronic diseases for both mother and child. This review seeks to identify current obstacles in weight management research during and after pregnancy and explore evidence-based strategies to overcome them. Pregnancy offers a window of opportunity for health behaviour changes as women are more receptive to education and have regular contact with health services. Staying within Institute of Medicine's recommended GWG ranges is associated with better maternal and fetal outcomes. Systematic review evidence supports structured diet and physical activity pregnancy interventions, leading to reduced GWG and fewer complications. Health economic evaluation indicates significant returns from implementation, surpassing investment costs due to decreased perinatal morbidity and adverse events. However, the most effective way to implement interventions within routine antenatal care remains unclear. Challenges increase in the postpartum period due to competing demands on women physically, mentally and socially, hindering intervention reach and retention. Flexible, technology-supported interventions are needed, requiring frameworks such as penetration-implementation-participation-effectiveness and template-for-intervention-description-and-replication for successful implementation. Greater research efforts are necessary to inform practice and investigate fidelity aspects through pragmatic implementation trials during the pregnancy and postpartum periods. Understanding the best ways to deliver interventions will empower women to maintain a healthy weight during their reproductive years.

A novel, multidomain, primary care nurse-led and mHealth-assisted intervention for dementia risk reduction in middle-aged adults (HAPPI MIND): study protocol for a cluster randomised controlled trial.

INTRODUCTION: Middle-aged multidomain risk reduction interventions targeting modifiable risk factors for dementia may delay or prevent a third of dementia cases in later life. We describe the protocol of a cluster randomised controlled trial (cRCT), HAPPI MIND (Holistic Approach in Primary care for PreventIng Memory Impairment aNd Dementia). HAPPI MIND will evaluate the efficacy of a multidomain, nurse-led, mHealth supported intervention for assessing dementia risk and reducing associated risk factors in middle-aged adults in the Australian primary care setting. METHODS AND ANALYSIS: General practice clinics (n≥26) across Victoria and New South Wales, Australia, will be recruited and randomised. Practice nurses will be trained to implement the HAPPI MIND intervention or a brief intervention. Patients of participating practices aged 45-65 years with ≥2 potential dementia risk factors will be identified and recruited (approximately 15 patients/clinic). Brief intervention participants receive a personalised report outlining their risk factors for dementia based on Australian National University Alzheimer's Disease Risk Index (ANU-ADRI) scores, education booklet and referral to their general practitioner as appropriate. HAPPI MIND participants receive the brief intervention as well as six individualised dementia risk reduction sessions with a nurse trained in motivational interviewing and principles of behaviour change, a personalised risk reduction action plan and access to the purpose-built HAPPI MIND smartphone app for risk factor self-management. Follow-up data collection will occur at 12, 24 and 36 months. Primary outcome is ANU-ADRI score change at 12 months from baseline. Secondary outcomes include change in cognition, quality of life and individual risk factors of dementia. ETHICS AND DISSEMINATION: Project approved by Monash University Human Research Ethics Committee (ID: 28273). Results will be disseminated in peer-reviewed journals and at healthcare conferences. If effective in reducing dementia risk, the HAPPI MIND intervention could be integrated into primary care, scaled up nationally and sustained over time. TRIAL REGISTRATION NUMBER: ACTRN12621001168842.

Maternity Dietitians' Perspectives on Delivering Gestational Diabetes Care, and Postpartum Follow-Up in Ireland: A Qualitative Study.

BACKGROUND: Medical nutrition therapy is recognized as the cornerstone to optimal glycemic management of gestational diabetes (GDM) during pregnancy and registered dietitian nutritionists (RDNs) are central to delivery of this, yet data are lacking on their views of the barriers and enablers to performing this role. OBJECTIVE: This qualitative study aimed to explore the perspectives of RDNs providing medical nutrition therapy to people with GDM across the Republic of Ireland. DESIGN: Focus groups and semistructured interviews were conducted with RDNs from maternity settings whose roles included providing dietetics services to people with GDM. PARTICIPANTS AND SETTING: Five focus groups and 2 semistructured interviews were conducted with 16 RDNs from 13 maternity sites, whose roles included medical nutrition therapy to people with GDM, in Ireland in February to March 2021. A topic guide addressing GDM management, postpartum care, and future type 2 diabetes prevention was followed. DATA ANALYSIS: Data from focus groups and interviews were analyzed using reflexive thematic analysis. RESULTS: RDNs collectively viewed their role as central to supporting people with GDM. Three themes were generated: Theme 1-a complex layered role-addressed complexities in dietetics practice. Theme 2 highlighted challenges in providing optimum care with sub themes of huge changes with COVID-19, care is not equal, and no defined postpartum pathway. Theme three reported on framing future health needs through sub themes of the 6-week check is a missed opportunity, people need to understand their risk, and more integrated care and type 2 diabetes prevention is needed. CONCLUSIONS: RDNs recognize the need for continuity of care in pregnancy and postpartum for people diagnosed with GDM. However, perceived disparities in allocation of dietetics services for GDM and an absence of agreed care pathways were seen as barriers to optimum care. Collaboration and communication across primary and secondary care settings are essential and require improvement.

Associations of a current Australian model of dietetic care for women diagnosed with gestational diabetes and maternal and neonatal health outcomes.

BACKGROUND: Gestational diabetes mellitus (GDM) is a significant public health burden in Australia. Subsequent strain on healthcare systems is widespread and current models of care may not be adequate to provide optimal healthcare delivery. This study aimed to assess a current model of dietetic care with maternal and neonatal outcomes. METHODS: Hospital medical record data from The Women's Hospital, Melbourne, for women with GDM (n = 1,185) (July 2105-May 2017) was retrospectively analysed. Adjusted linear and logistic regression were used to analyse associations between the number of dietitian consultations and maternal and neonatal health outcomes. RESULTS: Half of all women (50%) received two consultations with a dietitian. 19% of women received three or more consultations and of these women, almost twice as many were managed by medical nutrition therapy (MNT) and pharmacotherapy (66%) compared with MNT alone (34%). Higher odds of any maternal complication among women receiving 3 + consultations compared to those receiving zero (OR = 2.33 [95% CI: 1.23, 4.41], p = 0.009), one (OR = 1.80 [95% CI: 1.09, 2.98], p = 0.02), or two (OR = 1.65 [95% CI: 1.04, 2.60], p = 0.03) consultations were observed. Lower odds of infant admission to the Neonatal Intensive Care Unit (NICU) were observed among women receiving one (OR = 0.38 [95% CI: 0.18, 0.78], p = 0.008), two (OR = 0.37 [95% CI: 15 0.19, 0.71], p = 0.003), or three + consultations (OR = 0.43 [95% CI: 0.21, 0.88], p = 0.02), compared to no consultations. CONCLUSION: The optimal schedule of dietitian consultations for women with GDM in Australia remains largely unclear. Alternate delivery of education for women with GDM such as telehealth and utilisation of digital platforms may assist relieving pressures on the healthcare system and ensure optimal care for women during pregnancy.

A Complex mHealth Coaching Intervention to Prevent Overweight, Obesity, and Diabetes in High-Risk Women in Antenatal Care: Protocol for a Hybrid Type 2 Effectiveness-Implementation Study.

BACKGROUND: Women with overweight and obesity are at higher risk of developing complications in pregnancy such as gestational diabetes and longer-term chronic conditions. Research concerning health behavior change interventions during pregnancy and postpartum shows promising effects, but implementation into routine services is sparsely investigated. Most interventions focus on the antenatal or postpartum life stages, failing to meet the needs of women. IMPACT DIABETES Bump2Baby is a multicenter project across 4 high-income countries developed to test the implementation of an antenatal and postpartum evidence-based mobile health (mHealth) coaching intervention called Bump2Baby and Me (B2B&Me) designed to sit alongside usual care in the perinatal period. OBJECTIVE: We aim to explore the feasibility and implementation of the B2B&Me intervention and investigate the effectiveness of this intervention in women at risk of gestational diabetes. METHODS: IMPACT DIABETES Bump2Baby is a hybrid type 2 effectiveness-implementation study, which integrates an evidence-based mHealth coaching app that includes personalized health behavior change coaching provided by health care professionals alongside antenatal care from the first antenatal visit to 12 months postpartum. The mHealth app offers the possibility of synchronous calls, asynchronous contact (including coach-participant text and video messaging exchanges tailored to the participant's needs), and ongoing access to an extensive library of bespoke intervention materials. Participants will interact asynchronously with their health coach throughout the intervention via the app. This randomized controlled trial across 4 clinical sites within Ireland, the United Kingdom, Spain, and Australia will recruit 800 women in early pregnancy to evaluate the effectiveness on postpartum weight. The Exploration, Preparation, Implementation, and Sustainment implementation framework is the theoretical underpinning of the study. The implementation evaluation will be assessed at the individual, hospital staff, and broader community levels using the Reach, Effectiveness, Adoption, Implementation, Maintenance (RE-AIM) framework. Data sources for the RE-AIM evaluation will include app and platform analytics, screening and training records, participant medical records, key informant interviews, participant and partner exit interviews, cost data, study questionnaires, staff surveys, and blood sample analyses. RESULTS: The study was approved and registered with the Australian New Zealand Clinical Trials Registry on November 19, 2020. Recruitment commenced on February 9, 2021, and data collection is ongoing. Publication of the results is expected in 2024. CONCLUSIONS: This is the first hybrid effectiveness-implementation study of an 18-month mHealth coaching intervention in at-risk women that we are aware of. As research aims to move toward real-world implementable solutions, it is critical that hybrid studies are conducted. The data from this large multicenter study will be useful in planning the potential implementation and scale-up of evidence-based perinatal health behavior change interventions. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry ACTRN12620001240932; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=380020&isReview=true. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/51431.

Impact of COVID-19 Restriction on Weight, Physical Activity, Diet and Psychological Distress on People with PCOS.

BACKGROUND: People with polycystic ovary syndrome (PCOS) have higher weight gain and psychological distress compared to those without PCOS. While COVID-19 restrictions led to population level adverse changes in lifestyle, weight gain and psychological distress, their impact on people with PCOS is unclear. The aim of this study was to investigate the impact the 2020 COVID-19 restrictions had on weight, physical activity, diet and psychological distress for Australians with PCOS. METHODS: Australian reproductive-aged women participated in an online survey with assessment of weight, physical activity, diet and psychological distress. Multivariable logistic and linear regression were used to examine associations between PCOS and residential location with health outcomes. RESULTS: On adjusted analysis, those with PCOS gained more weight (2.9%; 95% CI; 0.027-3.020; p = 0.046), were less likely to meet physical activity recommendations (OR 0.50; 95% CI; 0.32-0.79; p = 0.003) and had higher sugar-sweetened beverage intake (OR 1.74; 95% CI 1.10-2.75; p = 0.019) but no differences in psychological distress compared to women without PCOS. CONCLUSIONS: People with PCOS were more adversely affected by COVID-19 restrictions, which may worsen their clinical features and disease burden. Additional health care support may be necessary to assist people with PCOS to meet dietary and physical activity recommendations.

Energy-Adjusted Dietary Inflammatory Index in pregnancy and maternal cardiometabolic health: findings from the ROLO study.

Background: Excessive inflammation during pregnancy has been linked to adverse long-term health outcomes for both mothers and their children. One such outcome is maternal cardiometabolic dysfunction. The Energy-Adjusted Dietary Inflammatory Index is a method of scoring the overall inflammatory potential of the diet. Research on how the inflammatory potential of the maternal diet during pregnancy affects maternal cardiometabolic factors is limited. Objective: We investigated if the maternal Energy-Adjusted Dietary Inflammatory Index was associated with maternal cardiometabolic factors during pregnancy. Study design: This is a secondary analysis of 518 individuals who participated in the ROLO (Randomized cOntrol trial of a LOw glycemic index diet in pregnancy) study. Maternal Energy-Adjusted Dietary Inflammatory Index scores were calculated in early (12-14 weeks' gestation) and late pregnancy (34 weeks' gestation) using data collected from 3-day food diaries. Body mass index, blood pressure, fasting lipid profiles, glucose levels, and HOMA1-IR were obtained in early and late pregnancy. Multiple linear regression examined associations between early-pregnancy Energy-Adjusted Dietary Inflammatory Index and early and late maternal cardiometabolic markers. In addition, the relationship between late-pregnancy Energy-Adjusted Dietary Inflammatory Index and late cardiometabolic factors was explored. Regression models were adjusted for maternal ethnicity, maternal age at delivery, education level, smoking status, and original randomized control trial group allocation. In regression models examining late-pregnancy Energy-Adjusted Dietary Inflammatory Index with late lipids, change in lipid level from early to late pregnancy was also adjusted for. Results: Women's mean (standard deviation) age at delivery was 32.8 (±4.01) years, with median (interquartile range) body mass index of 24.45 (23.34-28.20) kg/m2. Mean (standard deviation) Energy-Adjusted Dietary Inflammatory Index was 0.59 (±1.60) in early pregnancy and 0.67 (±1.59) in late pregnancy. In adjusted linear regression analysis, first-trimester maternal Energy-Adjusted Dietary Inflammatory Index was positively associated with maternal body mass index (B=0.007; 95% confidence interval, 0.003-0.011; P=.001), early-pregnancy cardiometabolic markers including total cholesterol (B=0.155; 95% confidence interval, 0.061-0.249; P=.001), triglycerides (B=0.043; 95% confidence interval, 0.005-0.080; P=.03), low-density lipoproteins (B=0.129; 95% confidence interval, 0.049-0.209; P=.002), and diastolic blood pressure (B=0.538; 95% confidence interval, 0.070-1.006; P=.02), and late-pregnancy cardiometabolic markers including total cholesterol (B=0.127; 95% confidence interval, 0.012-0.243; P=.01) and low-density lipoproteins (B=0.110; 95% confidence interval, 0.010-0.209; P=.03). In the third trimester, Energy-Adjusted Dietary Inflammatory Index was associated with late-pregnancy diastolic blood pressure (B=0.624; 95% confidence interval, 0.103-1.145; P=.02), HOMA1-IR (B=0.030; 95% confidence interval, 0.005-0.054; P=.02), and glucose (B=0.003; 95% confidence interval, 0.003-0.034; P=.03). No associations were observed between third-trimester Energy-Adjusted Dietary Inflammatory Index and late-pregnancy lipid profiles. Conclusion: Maternal diets with a higher Energy-Adjusted Dietary Inflammatory Index, which were low in anti-inflammatory foods and rich in proinflammatory foods, were associated with increased levels of cardiometabolic health risk factors in pregnancy. Promoting dietary intakes that have a lower inflammatory potential may support more favorable maternal cardiometabolic profiles during pregnancy.

Pregnancy Nutrition Core Outcome Set (PRENCOS): A core outcome set development study.

OBJECTIVE: To develop a core outcome set for pregnancy nutrition. DESIGN: Mixed-methods core outcome set development study. SETTING: Online. POPULATION: Healthcare professionals, researchers and women with experience of pregnancy. METHODS: Candidate outcomes were identified from a systematic review of intervention and observational studies. One-to-one semi-structured interviews with women with experience of pregnancy (n = 26) were transcribed and analysed using inductive thematic analysis. Outcomes were consolidated, organised into domains and categorised using the Core Outcome Measures in Effectiveness Trials taxonomy. A two-round, modified Delphi survey (May-August 2021) was conducted. Participants voted on how critical each outcome was to include using a nine-point Likert scale. All outcomes that did not reach consensus were discussed at a consensus meeting. MAIN OUTCOME MEASURES: Critical outcomes to include in the core outcome set. RESULTS: A total of 53 091 articles were identified. Outcomes were extracted from 427 articles. The qualitative data yielded 45 outcomes. An additional 24 outcomes came from the literature. In round one, 82 participants ranked 30 outcomes. One new outcome was included in round two, during which participants (n = 60) voted 12/31 outcomes as critical to include. The remaining 20 outcomes were discussed at the consensus meeting and two outcomes were included. Maternal outcomes included: pregnancy complications; delivery complications; maternal wellbeing; gestational weight change; maternal vitamin and mineral status; mental health; diet quality; nutritional intakes; need for treatments, interventions, medications and supplements; pregnancy loss or perinatal death; birth defects or congenital anomalies; neonatal complications; and newborn anthropometry and body composition. CONCLUSIONS: The use of the Pregnancy Nutrition Core Outcome Set (PRENCOS) will ensure researchers measure what matters most from the perspective of key stakeholders.

Barriers to and enablers of type 2 diabetes screening among women with prior gestational diabetes: A qualitative study applying the Theoretical Domains Framework.

Introduction: Women with previous gestational diabetes mellitus (GDM) are at increased risk of type 2 diabetes (T2D). Guidelines recommend postnatal diabetes screening (oral glucose tolerance test or HbA1c) typically 6-12 weeks after birth, with screening maintained at regular intervals thereafter. Despite this, around half of women are not screened, representing a critical missed opportunity for early identification of prediabetes or type 2 diabetes. While policy and practice-level recommendations are comprehensive, those at the personal-level primarily focus on increasing screening knowledge and risk perception, potentially missing other influential behavioral determinants. We aimed to identify modifiable, personal-level factors impacting postpartum type 2 diabetes screening among Australian women with prior gestational diabetes and recommend intervention functions and behavior change techniques to underpin intervention content. Research design and methods: Semi-structured interviews with participants recruited via Australia's National Gestational Diabetes Register, using a guide based on the Theoretical Domains Framework (TDF). Using an inductive-deductive approach, we coded data to TDF domains. We used established criteria to identify 'important' domains which we then mapped to the Capability, Opportunity, Motivation-Behavior (COM-B) model. Results: Nineteen women participated: 34 ± 4 years, 19 ± 4 months postpartum, 63% Australian-born, 90% metropolitan, 58% screened for T2D according to guidelines. Eight TDF domains were identified: 'knowledge', 'memory, attention, and decision-making processes', 'environmental context and resources', 'social influences', 'emotion', 'beliefs about consequences', 'social role and identity', and 'beliefs about capabilities'. Study strengths include a methodologically rigorous design; limitations include low recruitment and homogenous sample. Conclusions: This study identified numerous modifiable barriers and enablers to postpartum T2D screening for women with prior GDM. By mapping to the COM-B, we identified intervention functions and behavior change techniques to underpin intervention content. These findings provide a valuable evidence base for developing messaging and interventions that target the behavioral determinants most likely to optimize T2D screening uptake among women with prior GDM. .

Hypertensive disorders of pregnancy and long-term cardiovascular health: FIGO Best Practice Advice.

Hypertensive disorders of pregnancy (HDP) are the most common causes of maternal and perinatal morbidity and mortality. They are responsible for 16% of maternal deaths in high-income countries and approximately 25% in low- and middle-income countries. The impact of HDP can be lifelong as they are a recognized risk factor for future cardiovascular disease. During pregnancy, the cardiovascular system undergoes significant adaptive changes that ensure adequate uteroplacental blood flow and exchange of oxygen and nutrients to nurture and accommodate the developing fetus. Failure to achieve normal cardiovascular adaptation is associated with the development of HDP. Hemodynamic alterations in women with a history of HDP can persist for years and predispose to long-term cardiovascular morbidity and mortality. Therefore, pregnancy and the postpartum period are an opportunity to identify women with underlying, often unrecognized, cardiovascular risk factors. It is important to develop strategies with lifestyle and therapeutic interventions to reduce the risk of future cardiovascular disease in those who have a history of HDP.

Management of obesity across women's life course: FIGO Best Practice Advice.

Obesity is a chronic, progressive, relapsing, and treatable multifactorial, neurobehavioral disease. According to the World Health Organization, obesity affects 15% of women and has long-term effects on women's health. The focus of care in patients with obesity should be on optimizing health outcomes rather than on weight loss. Appropriate and common language, considering cultural sensitivity and trauma-informed care, is needed to discuss obesity. Pregnancy is a time of significant physiological change. Pre-, ante-, and postpartum clinical encounters provide opportunities for health optimization for parents with obesity in terms of, but not limited to, fertility and breastfeeding. Pre-existing conditions may also be identified and managed. Beyond pregnancy, women with obesity are at an increased risk for gastrointestinal and liver diseases, impaired kidney function, obstructive sleep apnea, and venous thromboembolism. Gynecological and reproductive health of women living with obesity cannot be dismissed, with accommodations needed for preventive health screenings and consideration of increased risk for gynecologic malignancies. Mental wellness, specifically depression, should be screened and managed appropriately. Obesity is a complex condition and is increasing in prevalence with failure of public health interventions to achieve significant decrease. Future research efforts should focus on interprofessional care and discovering effective interventions for health optimization.

Using FIGO Nutrition Checklist counselling in pregnancy: A review to support healthcare professionals.

The period before and during pregnancy is increasingly recognized as an important stage for addressing malnutrition. This can help to reduce the risk of noncommunicable diseases in mothers and passage of risk to their infants. The FIGO Nutrition Checklist is a tool designed to address these issues. The checklist contains questions on specific dietary requirements, body mass index, diet quality, and micronutrients. Through answering these questions, awareness is generated, potential risks are identified, and information is collected that can inform health-promoting conversations between women and their healthcare professionals. The tool can be used across a range of health settings, regions, and life stages. The aim of this review is to summarize nutritional recommendations related to the FIGO Nutrition Checklist to support healthcare providers using it in practice. Included is a selection of global dietary recommendations for each of the components of the checklist and practical insights from countries that have used it. Implementation of the FIGO Nutrition Checklist will help identify potential nutritional deficiencies in women so that they can be addressed by healthcare providers. This has potential longstanding benefits for mothers and their children, across generations.