The Relationship Between Yoga Practice Dosage and Perceived Stress, Anxiety, and Self-reported Health Among Breast Cancer Survivors Who Practice Yoga.

The aim of this anonymous online study was to explore the yoga practice of breast cancer survivors to determine if yoga dosage (frequency and duration of practice) was related to stress, anxiety, and self-reported health in female survivors. Participants were recruited from online breast cancer support groups during a 3-month period (June-September 2019). Demographic information, stage and treatment of breast cancer, and frequency of yoga participation, including a home yoga practice were reported. Measures include the Perceived Stress Scale, State-Trait Anxiety Inventory, and self-reported health. Cumulative yoga dosage was calculated. Thirty-five women participated (mean age = 55 years) and were divided into low and high yoga dosage groups based on the sample distribution. Low dosage of yoga was operationally defined as a cumulative dosage that fell within the lowest quartile (≤25%). Findings indicated no difference between the low-dosage group compared with the high-dosage group for perceived stress and self-reported health; but the high dosage yoga group had lower state anxiety scores (P < .05). All participants reported good self-reported health. These findings contribute to our knowledge of the psychosocial aspects of breast cancer survivorship and raise questions for further research quantifying the therapeutic dosing of yoga practice.

"Yes, I can bond." Reflections of autistic women's mothering experiences in the early postpartum period.

BACKGROUND: Autism is a neurodevelopmental condition affecting communication and social interaction. Much of the research regarding childbirth and motherhood is focused on non-autistic women. Autistic mothers may experience challenges communicating their needs to health care professionals and find aspects of the hospital environment distressing, indicating a need for more informed practice. OBJECTIVE: To describe the experiences of autistic women bonding with their newborns after delivery in an acute care setting. DESIGN: The study used a qualitative interpretative description design with data analysis using the method described by Knafl and Webster. The study explored the women's childbirth experiences in the early postpartum period. METHOD: Interviews were conducted using a semi-structured interview guide. The women were interviewed in a setting of their choosing and included in person meetings, meetings over Skype, over the telephone, or via Facebook messenger. Twenty-four women ages 29-65 years participated in the study. The women were from the United States, the United Kingdom, and Australia. All women gave birth to a healthy term newborn in an acute care setting. RESULTS: Three major themes emerged from the data: having difficulty communicating, feeling stressed in an uncertain environment, and being an autistic mother. CONCLUSION: The autistic mothers in the study expressed love and concern for their babies. Some women described needing more time to recover physically and emotionally before assuming care of the newborn. The stress of childbirth left them exhausted and the demands of caring for a newborn could be overwhelming for some women. Miscommunication during labor affected some of the women's ability to trust the nurses caring for them and, in two cases, left the women feeling judged as mothers.

Cultural and Digital Health Literacy Appropriateness of App- and Web-Based Systems Designed for Pregnant Women With Gestational Diabetes Mellitus: Scoping Review.

BACKGROUND: The prevalence of women diagnosed with gestational diabetes mellitus (GDM) is increasing dramatically. Mobile technologies to enhance patient self-management offer many advantages for women diagnosed with GDM. However, to our knowledge, although mobile health (mHealth) and telemedicine systems for GDM management exist, evidence on their cultural and digital health literacy appropriateness levels is limited. OBJECTIVE: This review aimed to search and assess the literature on mHealth and telemedicine systems designed for women diagnosed with GDM. Our assessment of these technologies focused on their cultural and digital health literacy appropriateness as well as the systems' effectiveness in improving glycemic control and maternal and infant outcomes. METHODS: We conducted a scoping review using a framework adapted from Arksey and O'Malley. Four electronic databases were searched for relevant studies: PubMed, MEDLINE (EBSCO), Web of Science, and Scopus. The databases were searched between January 2010 and January 2022. The inclusion criteria were pregnant women diagnosed with GDM, use of telemedicine for monitoring and management, and vulnerable or disadvantaged patients. We used terms related to mobile apps and telemedicine: GDM, vulnerable populations, periphery, cultural appropriateness, and digital health literacy. Studies were screened and selected independently by 2 authors. We extracted the study data on a Microsoft Excel charting table and categorized them into final themes. The results were categorized according to the cultural and digital health literacy features presented. RESULTS: We identified 17 studies that reported on 12 telemedicine and mHealth app interventions. We assessed the studies in three domains: cultural appropriateness, digital health literacy, and maternal and infant outcomes. In the literature, we found that existing digital technologies may improve glycemic control and diabetes self-management. However, there is a lack of assessment of cultural and digital health literacy appropriateness for pregnant women diagnosed with GDM. Considerations in app design regarding cultural appropriateness were found in only 12% (2/17) of the studies, and only 25% (3/12) of the interventions scored ≥3 out of 5 in our assessment of digital health literacy. CONCLUSIONS: mHealth and telemedicine can be an effective platform to improve the clinical management of women with GDM. Although studies published on the use of mHealth and telemedicine systems exist, there is a limited body of knowledge on the digital health literacy and cultural appropriateness of the systems designed for women diagnosed with GDM. In addition, as our study was restricted to the English language, relevant studies may have been excluded. Further research is needed to evaluate, design, and implement better tailored apps regarding cultural and digital literacy appropriateness for enhancing pregnant women's self-management as well as the effectiveness of these apps in improving maternal and infant health outcomes.

Relationships Among Neighborhood Poverty, Access to Healthy Food, and Diabetes Self-Management in Women Who Received Perinatal Nurse Home Visits.

OBJECTIVE: To examine the relationships among neighborhood poverty, access to healthy food, and diabetes self-management in pregnant women in an urban setting who received perinatal nurse home visits. DESIGN: Exploratory descriptive secondary analysis of existing individual-level and neighborhood-level data. SETTING: Philadelphia, Pennsylvania, United States. PARTICIPANTS: Women who were pregnant, had diabetes, and were enrolled in the citywide perinatal nurse home visiting program because of their diabetes (N = 264). METHODS: We retrieved neighborhood-level aggregated data on poverty and access to healthy food from PolicyMap, a geographic information system. We retrieved individual-level data from a clinical research database. Access to healthy food was operationalized at the individual level by reported use of the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC). We operationalized diabetes self-management as good or poor glycemic control. We conducted descriptive and logistic regression analyses. RESULTS: We found no relationship between neighborhood-level poverty and neighborhood-level access to healthy food with women's glycemic control. However, at the individual level, use of the WIC program was associated with glycemic control (p = .034). Participants who reported not using this program were two times more likely to have poor glycemic control than those who did (OR = 2.045, 95% confidence interval [1.003, 2.045]). CONCLUSION: It is important to understand how the complex interplay between neighborhoods and individual factors of poverty and access to healthy food influences health outcomes among pregnant women. The WIC program may mediate neighborhood influence on diabetes self-management. Future research is warranted on how this program and nurse home visiting services can optimize maternal health outcomes among women who have diabetes during pregnancy.

A Practice-Based Research Database to Study Perinatal Nurse Home Visiting to Pregnant Women With Diabetes.

BACKGROUND AND AIMS: Accumulation of real-world evidence from practice-based perinatal nurse home visits to pregnant women with diabetes prompted this translational perinatal health disparities research. Given the global diabetes epidemic, this academic-community partnered research team is studying the utilization, processes, and outcomes of this understudied model of perinatal nurse home visiting that provide home-based enhanced diabetes care to pregnant women. Because the nursing records provide the rich source of data for the study, our aim is to provide an in-depth description of the Philadelphia Pregnancy and Diabetes Home Visiting (PPD-HV) research database developed from data in the longitudinal nursing records. METHODS: This descriptive study uses retrospective data abstracted from paper-based perinatal nurse home visiting clinical records to create the PPD-HV, a HIPAA compliant, secure REDCap electronic research database. The sample includes 248 urban, pregnant women with diabetes who received a total of 1,644 home visits during the year 2012. The setting was Philadelphia, a large metropolitan city in the northeastern part of the United States. The PPD-HV database followed the information fields of the paper-based clinical nursing forms, which were originally designed by following the Omaha System to guide documenting the nursing process used in caring for patients in their homes. RESULTS: Using REDCap, the PPD-HV research database is robust with 239 variables and captures longitudinal clinical nursing data. Among the pregnant women with diabetes receiving nurse home visits, the mean age was 30.7 years, most were single, and had given birth to other children. LINKING EVIDENCE TO ACTION: Real-world clinical nursing practice data provide a rich source of research data to advance understandings about this model of enhanced diabetes care and the pregnant women with diabetes receiving the care. Considering the global epidemic of diabetes, this is a perinatal nurse home visiting model to replicate and evaluate.