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BackgroundSeveral recent trials have examined the feasibility and efficacy of automated SMS text messaging to provide remote breastfeeding support to mothers, but these texting systems vary in terms of design features and outcomes examined. ObjectiveThis study examined user engagement with and feedback on a theory-grounded SMS text messaging intervention intended to prevent perceived insufficient milk (PIM)—the single, leading modifiable cause of unintended breastfeeding reduction and cessation. MethodsWe recruited 250 nulliparous individuals intending to breastfeed between 13 and 25 weeks of pregnancy in southwestern Pennsylvania. Participants were randomly assigned with equal allocation to either an SMS intervention to prevent PIM and unintended breastfeeding reduction or cessation (MILK, a Mobile, semiautomated text message–based Intervention to prevent perceived Low or insufficient milK supply; n=126) or a control group receiving general perinatal SMS text messaging–based support via the national, free Text4Baby system (n=124). Participants in both groups received SMS text messages 3 to 7 times per week from 25 weeks of pregnancy to 8 weeks postpartum. The MILK intervention incorporated several automated interactivity and personalization features (eg, keyword texting for more detailed information on topics and branched response logic) as well as an option to receive one-on-one assistance from an on-call study lactation consultant. We examined participant interactions with the MILK system, including response rates to SMS text messaging queries. We also sought participant feedback on MILK content, delivery preferences, and overall satisfaction with the system via interviews and a remote survey at 8 weeks postpartum. ResultsParticipants randomized to MILK (87/124, 70.2% white and 84/124, 67.7% college educated) reported that MILK texts increased their breastfeeding confidence and helped them persevere through breastfeeding problems. Of 124 participants, 9 (7.3%) elected to stop MILK messages, and 3 (2.4%) opted to reduce message frequency during the course of the study. There were 46 texts through the MILK system for individualized assistance from the study lactation consultant (25/46, 54% on weekends or after-hours). The most commonly texted keywords for more detailed information occurred during weeks 4 to 6 postpartum and addressed milk volume intake and breastfeeding and sleep patterns. MILK participants stated a preference for anticipatory guidance on potential breastfeeding issues and less content addressing the benefits of breastfeeding. Suggested improvements included extending messaging past 8 weeks, providing access to messaging for partners, and tailoring content based on participants’ pre-existing breastfeeding knowledge and unique breastfeeding trajectory. ConclusionsPrenatal and postpartum evidence–based breastfeeding support delivered via semiautomated SMS text messaging is a feasible and an acceptable intervention for first-time mothers. To optimize engagement with digital breastfeeding interventions, enhanced customization features should be considered. Trial RegistrationClinicalTrials.gov NCT02724969; https://clinicaltrials.gov/ct2/show/NCT02724969

BackgroundPrevious studies have reported older adults’ perceptions of using health monitors; however, no studies have examined the actual use of multiple health monitors for lifestyle changes over time among older adults with type 2 diabetes (T2D). ObjectiveThe primary aim of this study was to examine the actual use of multiple health monitors for lifestyle changes over 3 months among older adults with T2D. The secondary aim was to explore changes in caloric intake and physical activity (PA) over 3 months. MethodsThis was a single-group study lasting 3 months. The study sample included participants who were aged ≥65 years with a diagnosis of T2D. Participants were recruited through fliers posted at the Joslin Diabetes Center in Boston. Participants attended five 60-min, biweekly group sessions, which focused on self-monitoring, goal setting, self-regulation to achieve healthy eating and PA habits, and the development of problem-solving skills. Participants were provided with the Lose It! app to record daily food intake and devices such as a Fitbit Alta for monitoring PA, a Bluetooth-enabled blood glucose meter, and a Bluetooth-enabled digital scale. Descriptive statistics were used for analysis. ResultsOf the enrolled participants (N=9), the sample was white (8/9, 89%) and female (4/9, 44%), with a mean age of 76.4 years (SD 6.0; range 69-89 years), 15.7 years (SD 2.0) of education, 33.3 kg/m2 (SD 3.1) BMI, and 7.4% (SD 0.8) hemoglobin A1c. Over the 84 days of self-monitoring, the mean percentage of days using the Lose It!, Fitbit Alta, blood glucose meter, and scale were 82.7 (SD 17.6), 85.2 (SD 19.7), 65.3 (SD 30.1), and 53.0 (SD 34.5), respectively. From baseline to completion of the study, the mean daily calorie intake was 1459 (SD 661) at week 1, 1245 (SD 554) at week 11, and 1333 (SD 546) at week 12, whereas the mean daily step counts were 5618 (SD 3654) at week 1, 5792 (SD 3814) at week 11, and 4552 (SD 3616) at week 12. The mean percentage of weight loss from baseline was 4.92% (SD 0.25). The dose of oral hypoglycemic agents or insulin was reduced in 55.6% (5/9) of the participants. ConclusionsThe results from the pilot study are encouraging and suggest the need for a larger study to confirm the outcomes. In addition, a study design that includes a control group with educational sessions but without the integration of technology would offer additional insight to understand the value of mobile health in behavior changes and the health outcomes observed during this pilot study.

PurposeGOG-259 was a 3-arm randomized controlled trial of two web-based symptom management interventions for patients with recurrent ovarian cancer. Primary aims were to compare the efficacy of the nurse-guided (Nurse-WRITE) and self-directed (SD-WRITE) interventions to Enhanced Usual Care (EUC) in improving symptoms (burden and controllability) and quality of life (QOL).MethodsPatients with recurrent or persistent ovarian, fallopian, or primary peritoneal cancer with 3+ symptoms were eligible for the study. Participants completed baseline (BL) surveys (symptom burden and controllability and QOL) before random assignment. WRITE interventions lasted 8 weeks to develop symptom management plans for three target symptoms. All women received EUC: monthly online symptom assessment with provider reports; online resources; and every 2-week e-mails. Outcomes were evaluated at 8 and 12 weeks after BL. Repeated-measures modeling with linear contrasts evaluated group by time effects on symptom burden, controllability, and QOL, controlling for key covariates.ResultsParticipants (N = 497) reported mean age of 59.3 ± 9.2 years. At BL, 84% were receiving chemotherapy and reported a mean of 14.2 ± 4.9 concurrent symptoms, most commonly fatigue, constipation, and peripheral neuropathy. Symptom burden and QOL improved significantly over time (P < .001) for all three groups. A group by time interaction (P < .001) for symptom controllability was noted whereby both WRITE intervention groups had similar improvements from BL to 8 and 12 weeks, whereas EUC did not improve over time.ConclusionBoth WRITE Intervention groups showed significantly greater improvements in symptom controllability from BL to 8 and BL to 12 weeks compared with EUC. There were no significant differences between Nurse-WRITE and SD-WRITE. SD-WRITE has potential as a scalable intervention for a future implementation study.

The purpose of this cross-sectional, descriptive, pilot study was to examine the correlations in sleep between caregivers (=18 years) and young (6-12 years) children with type 1 diabetes. Sleep was measured in both parent and child over 7 days using actigraphy and a sleep diary. Parents completed questionnaires on sleep, stress, depressive symptoms, and demographics. Children completed pediatric anxiety and fatigue questionnaires, and A1C (Hemoglobin A1c) was documented at clinic. Descriptive statistics and Pearson correlations were used to analyze data. Parents (N = 18, mean age: 39.3 ± 5.4 years, 100% Caucasian, 83% mothers) and children (N = 18, mean age: 9.6 ± 2.4 years, diagnosed for mean 3.0 ± 2.4 years, 66% female, mean A1C: 7.5 ± 0.8%) were recruited. Strong to moderate correlations were found for several measures including sleep measures based on actigraphy: mean sleep duration (hours; 7.6 ± 0.7 for parents and 8.8 ± 0.8 for children; r = 0.638, p = 0.004), mean sleep efficiency (r = 0.823, p < 0.001), and mean daily wake after sleep onset (minutes; r = 0.530, p = 0.024).

Self-weighing may promote attainment and maintenance of healthy weight; however, the natural temporal patterns and factors associated with self-weighing behavior are unclear. The aims of this secondary analysis were to (1) identify distinct temporal patterns of self-weighing behaviors; (2) explore factors associated with temporal self-weighing patterns; and (3) examine differences in percent weight changes by patterns of self-weighing over time. We analyzed electronically collected self-weighing data from the Health eHeart Study, an ongoing longitudinal research study coordinated by the University of California, San Francisco. We selected participants with at least 12 months of data since the day of first use of a WiFi- or Bluetooth-enabled digital scale. The sample (N = 1041) was predominantly male (77.5%) and White (89.9%), with a mean age of 46.5 ± 12.3 years and a mean BMI of 28.3 ± 5.9 kg/m2 at entry. Using group-based trajectory modeling, six distinct temporal patterns of self-weighing were identified: non-users (n = 120, 11.5%), weekly users (n = 189, 18.2%), rapid decliners (n = 109, 10.5%), increasing users (n = 160, 15.4%), slow decliners (n = 182, 17.5%), and persistent daily users (n = 281, 27.0%). Individuals who were older, female, or self-weighed 6-7 days/week at week 1 were more likely to follow the self-weighing pattern of persistent daily users. Predicted self-weighing trajectory group membership was significantly associated with weight change over time (p

Objective: Physical exercise may increase brain volume and cortical thickness in late adulthood. However, few studies have examined the possibility for exercise to influence brain morphology in women treated for breast cancer. We conducted a nested sub-study within a randomized clinical trial to examine whether 6 months of moderate-intensity aerobic exercise in postmenopausal women with early-stage breast cancer influences brain morphology. Methods: We included twenty-eight postmenopausal women newly diagnosed with Stage 0-IIIa breast cancer (M age = 62.96 ± 5.40) who were randomized to either 45–60 min of supervised aerobic exercise 3 days/week (n = 16) or usual care (n = 12). Before beginning aromatase inhibitor aromatase inhibitor therapy, and the exercise intervention, and again at 6-month follow-up, volumetric and cortical thickness measures were derived from magnetic resonance imaging scans. Results: There were no significant intervention effects on brain volume and cortical thickness. However, greater average exercise intensity (%) during the intervention was associated with greater post-intervention cortical volume, mean cortical thickness, precentral gyrus thickness, and superior parietal thickness (all p < 0.05). Finally, total supervised exercise time was associated with higher precentral gyrus thickness after the intervention (p = 0.042, R 2 = 0.263). Conclusion: The exercise intervention did not significantly affect brain volumes and cortical thickness compared to the control group. However, positive associations were found between exercise intensity and brain morphology changes after the 6-month intervention, indicating that exercise may reduce the vulnerability of the brain to the deleterious effects of breast cancer and its treatment. [ABSTRACT FROM AUTHOR]

OBJECTIVES: To phenotype the psychoneurologic (PN) symptom cluster in individuals with metastatic breast cancer and associate those phenotypes with individual characteristics and cancer genomic variables from circulating tumor DNA. SAMPLE & SETTING: This study included 201 individuals with metastatic breast cancer recruited in western Pennsylvania. METHODS & VARIABLES: A descriptive, crosssectional design was used. Symptom data were collected via the MD Anderson Symptom Inventory, and cancer genomic data were collected via ultralow-pass whole-genome sequencing of circulating tumor DNA from participant blood. RESULTS: Three distinct PN symptom phenotypes were described in a population with metastatic breast cancer: mild symptoms, moderate symptoms, and severe mood-related symptoms. Breast cancer TP53 deletion was significantly associated with membership in a moderate to severe symptoms phenotype (p = 0.013). IMPLICATIONS FOR NURSING: Specific cancer genomic changes associated with increased genomic instability may be predictive of PN symptoms. This finding may enable proactive treatment or reveal new therapeutic targets for symptom management. [ABSTRACT FROM AUTHOR]

OBJECTIVES: To determine associations among DNA methylation of brain-derived neurotrophic factor (BDNF) and RAS p21 protein activator 2 (RASA2) genes with processing speed and perceived cognitive function. SAMPLE & SETTING: This was a cross-sectional, secondary analysis of baseline data from a randomized controlled trial, the Exercise Program in Cancer and Cognition Study. METHODS & VARIABLES: Data included M values for DNA methylation of the BDNF and RASA2 genes; processing speed, objectively measured using the Grooved Pegboard and Digit Vigilance Test scores; and perceived cognitive function, self-reported using the Patient Assessment of Own Functioning Inventory. Regression analysis was conducted. RESULTS: Greater methylation of cg21291635 of the BDNF gene (p = 0.01) and cg20247102 of the RASA2 gene (p = 0.013) were associated with poorer processing speed, whereas greater methylation of cg20108357 of the BDNF gene (p < 0.001) and cg00567892 of the RASA2 gene (p = 0.019) were associated with better perceived cognitive function. IMPLICATIONS FOR NURSING: Gene methylation variations were demonstrated, suggesting the genes' potential roles and two possible distinct mechanisms of cognitive function in cancer. [ABSTRACT FROM AUTHOR]

Adding feedback messages (FB) to self-monitoring (SM) may reinforce behavior change. However, socio-environmental conditions (e.g., limited access to parks or low walkability) may limit one's ability to respond to FB focused on physical activity (PA). In this analysis, we hypothesized that high neighborhood walkability will positively modify the treatment effect of FB on PA, and residents of high walkability neighborhoods will achieve higher PA levels at 12 months than those in low walkability neighborhoods. The study is a secondary analysis of a 12-month behavioral weight-loss trial. Adults with overweight/obesity were randomized to SM + FB (n = 251) or SM alone (n = 251). SM + FB group received smartphone pop-up messages thrice/week tailored to their PA SM data. The assessment included neighborhood walkability via Walk Score (low [<50] vs. high [≥50]), moderate to vigorous PA (MVPA) and step count via Fitbit Charge 2™, and weight via smart scale. We report adjusted linear regression coefficients (b) with standard errors (SE). The analysis included participants who were primarily white, female, and with obesity. In adjusted models, neighborhood walkability did not moderate the effect of treatment assignment on log-transformed (ln) MVPA or steps count over 12 months. The SM + FB group had greater lnMVPA than the SM group, but lnMVPA and steps were similar between walkability groups. There were no significant interactions for group and time or group, time, and walkability. These findings suggest that adding FB to SM had a small but significant positive impact on PA over 12 months, but neighborhood walkability did not moderate the treatment effect of FB on PA. [ABSTRACT FROM AUTHOR]

Introduction: Research on associations between knowledge and health beliefs for women at risk for gestational diabetes mellitus (GDM) has focused on adults at risk for or having GDM. Gaps also exist in examining interpersonal associations with family members or peers. We examined dyadic associations between knowledge and health beliefs about the risk for GDM between and within American Indian and Alaska Native (AIAN) female adolescents and young adults (FAYAs) at risk for GDM and their mothers or adult female caregivers (FCs). Methods: Grounded in the Expanded Health Belief Model, we employed a cross‐sectional design using baseline data from 147 dyads of AIAN FAYAs at risk for GDM and their FCs who participated in the Stopping GDM in Daughters and Mothers trial. FAYAs were 12.0 to 24.5 years of age, and 89.1% were students. FCs had a mean (SD) age of 44.0 (9.3) years, 87.0% were AIAN, 44.9% were college educated, 19.7% had ever had GDM, and 81.0% were the FAYA's mother. FAYAs and FCs completed surveys about knowledge and health beliefs (benefits, barriers, severity, susceptibility) regarding GDM risk and prevention. Bivariate correlational analyses were performed to examine associations between and within dyad members. Dyadic associations were investigated using actor‐partner interdependence modeling (APIM) assuming distinguishable dyad members. Results: Compared with their FCs, FAYAs had lower health‐related knowledge and perceived benefits of GDM prevention and susceptibility regarding GDM risk. APIM revealed actor and partner effects of health‐related knowledge on health beliefs for dyads. In particular, positive actor effects were found for FAYAs and FCs for GDM‐related knowledge with perceived benefits (P <.001), and positive partner effects of GDM‐related knowledge for FCs were related to perceived susceptibility and severity for FAYAs (P <.05). Discussion: As shown in these AIAN dyads, FAYAs and their FCs, as members of one another's social network, may influence each other's health beliefs regarding GDM risk and prevention. [ABSTRACT FROM AUTHOR]

The diet quality of US adults is poor and cross-sectional analyses suggest self-perception of healthful dietary intake may be overestimated. This analysis assessed the concordance between calculated and perceived diet quality and changes in diet quality among adults seeking weight loss and enrolled in a 12-month randomized behavioral trial. Healthy Eating Index-2015 diet quality (HEI) was calculated from self-administered 24-hour recalls. Perceived diet quality (PDQ) was measured on a 100-point scale. Higher scores indicate better diet quality. Concordance was assessed using the concordance correlation coefficient and Bland-Altman plots. The one hundred and five participants with complete dietary data were mostly female and white. There was good agreement between HEI and PDQ scores at 12 months for less than a third of participants. Most of the disagreement arose from PDQ scores being higher than HEI scores. Even fewer participants had good agreement between HEI changes and PDQ changes. Participants perceived greater improvement in diet quality than indicated by HEI score changes. Concordance was low at 12 months and for change in diet quality. Despite the diet quality of adults seeking weight loss being suboptimal and not improving, many perceived their diet quality and diet quality improvements as better than calculated. Future studies might explore the effect of misperceptions on weight loss outcomes. [ABSTRACT FROM AUTHOR]