Differences in breast-feeding initiation and continuation by maternal diabetes status

To examine (i) the prevalence of and associations between breast-feeding initiation and continuation by maternal diabetes status and (ii) the reasons for not initiating and/or continuing breast-feeding by maternal diabetes status. Secondary data analyses of a population-based cross-sectional study were conducting using data from the US Centers for Disease Control and Prevention\u27s Pregnancy Risk Assessment Monitoring System (PRAMS), 2009-2011. Multivariable logistic regression was used to investigate the associations between breast-feeding initiation and continuation by diabetes status. Thirty states and New York City, USA. Mothers of recently live-born infants, selected by birth certificate sampling. Among 72755 women, 8.8 % had gestational diabetes mellitus (GDM) and 1.7 % had pregestational diabetes mellitus (PDM). Breast-feeding initiation was similar among GDM and no diabetes mellitus (NDM) women (80.8 % v. 82.2 %, respectively, P=0.2), but continuation was lower among GDM (65.7 % v. 68.8 %, respectively, P=0.01). PDM women had lower initiation and continuation compared with NDM (78.2 %, P=0.03 and 60.4 %, P\u3c0.01, respectively). In adjusted analyses, current smoking status was a significant effect modifier for initiation, but not for continuation. Differences in breast-feeding initiation and continuation prevalence by maternal diabetes status may reflect differences in prenatal education, indicating the need for increased efforts among PDM women. Additionally, non-smoking women with PDM or GDM would benefit from additional breast-feeding education

Ohio First Steps for Healthy Babies: A Program Supporting Breastfeeding Practices in Ohio Birthing Hospitals

Background: Ohio First Steps for Healthy Babies (First Steps) is a free, voluntary statewide designation program coadministered by the Ohio Department of Health and the Ohio Hospital Association that promotes breastfeeding-supportive maternity practices aligned with the Baby-Friendly Hospital Initiative (BFHI).Materials and Methods: We examined Ohio birthing hospitals’ participation in First Steps, and changes in breastfeed-ing rates at hospital discharge, over the first 12 quarters of the program (July 15, 2015, to July 14, 2018) for all 110 licensed Ohio birthing hospitals. The 81 (73.6%) that achieved at least 1 step over the study period (designated as First Steps hospitals) were compared to the 29 non-First Steps hospitals, and the 17 that began participation at First Steps startup (July 15, 2015) were identified for additional analysis. Changes in breastfeeding rates were examined using a mixed effects multivariate regression model.Results: Breastfeeding increased significantly over the program period from 73.8% to 76.7% (mean 0.19% per quarter, p = .0002), but without a significant difference in breastfeeding rates between First Steps and non-First Steps hospitals. However, in a pre- and post-program analysis for the 17 hospitals that began participation at First Steps startup (excluding an additional 6 hospitals with BFHI designation), number of quarters in the program, number of steps completed, and number of births in 2015 were significantly associated with breastfeeding rates. Hospitals that completed at least 2 steps every 5 quarters in the First Steps program increased breastfeeding when compared to those not participating in the program.Conclusion: These encouraging results provide a formal evaluation of a best practices BFHI-modelled statewide program

Orientational properties of nematic disclinations

Topological defects play a pivotal role in the physics of liquid crystals and represent one of the most prominent and well studied aspects of mesophases. While in two-dimensional nematics, disclinations are traditionally treated as point-like objects, recent experimental studies on active nematics have suggested that half-strength disclinations might in fact possess a polar structure. In this article, we provide a precise definition of polarity for half-strength nematic disclinations, we introduce a simple and robust method to calculate this quantity from experimental and numerical data and we investigate how the orientational properties of half-strength disclinations affect their relaxational dynamics.Comment: 6 pages, 5 figures, supplementary movies at http://wwwhome.lorentz.leidenuniv.nl/~giomi/sup_mat/20150720

Intervention planning and modification of the BUMP intervention: a digital intervention for the early detection of raised blood pressure in pregnancy

Background: Hypertensive disorders in pregnancy, particularly pre-eclampsia, pose a substantial health risk for both maternal and foetal outcomes. The BUMP (Blood Pressure Self-Monitoring in Pregnancy) interventions are being tested in a trial. They aim to facilitate the early detection of raised blood pressure through self-monitoring. This article outlines how the self-monitoring interventions in the BUMP trial were developed and modified using the person-based approach to promote engagement and adherence. Methods: Key behavioural challenges associated with blood pressure self-monitoring in pregnancy were identified through synthesising qualitative pilot data and existing evidence, which informed guiding principles for the development process. Social cognitive theory was identified as an appropriate theoretical framework. A testable logic model was developed to illustrate the hypothesised processes of change associated with the intervention. Iterative qualitative feedback from women and staff informed modifications to the participant materials. Results: The evidence synthesis suggested women face challenges integrating self-monitoring into their lives and that adherence is challenging at certain time points in pregnancy (for example, starting maternity leave). Intervention modification included strategies to address adherence but also focussed on modifying outcome expectancies, by providing messages explaining pre-eclampsia and outlining the potential benefits of self-monitoring. Conclusions: With an in-depth understanding of the target population, several methods and approaches to plan and develop interventions specifically relevant to pregnant women were successfully integrated, to address barriers to behaviour change while ensuring they are easy to engage with, persuasive and acceptable

Migration Status in Relation to Clinical Characteristics and Barriers to Care Among Youth with Diabetes in the US

Migration status and the accompanying diversity in culture, foods and family norms, may be an important consideration for practitioners providing individualized care to treat and prevent complications among youth with diabetes. Approximately 20% of youth in the US have ≥ 1 foreign-born parent. However, the proportion and characteristics of youth with diabetes and ≥ 1 foreign-born parent have yet to be described. Study participants (n = 3,086) were from SEARCH for Diabetes in Youth, a prospective multi-center study in the US. Primary outcomes of interest included HbA1c, body mass index and barriers to care. Multivariable analyses were carried out using logistic regression and analysis of covariance. Approximately 17% of participants with type 1 diabetes (T1D) and 22% with type 2 diabetes (T2D) had ≥ 1 foreign-born parent. Youth with T1D and ≥ 1 foreign-born parent were less likely to have poor glycemic control [adjusted odds ratio (OR) (95% confidence interval): 0.70 (0.53, 0.94)]. Among youth with T2D, those with ≥ 1 foreign-born parent had lower odds of obesity [adjusted OR (95% CI): 0.35 (0.17, 0.70)]. This is the first study to estimate the proportion and characteristics of youth with diabetes exposed to migration in the US. Research into potential mechanisms underlying the observed protective effects is warranted

A mathematical model for determining age-specific diabetes incidence and prevalence using body mass index

PurposeFew models have been developed specifically for the epidemiology of diabetes. Diabetes incidence is critical in predicting diabetes prevalence. However, reliable estimates of disease incidence rates are difficult to obtain. The aim of this study was to propose a mathematical framework for predicting diabetes prevalence using incidence rates estimated within the model using body mass index (BMI) data.MethodsA generic mechanistic model was proposed considering birth, death, migration, aging, and diabetes incidence dynamics. Diabetes incidence rates were determined within the model using their relationships with BMI represented by the Hill equation. The Hill equation parameters were estimated by fitting the model to National Health and Nutrition Examination Survey (NHANES) 1999-2010 data and used to predict diabetes prevalence pertaining to each NHANES survey year. The prevalences were also predicted using diabetes incidence rates calculated from the NHANES data themselves. The model was used to estimate death rate parameters and to quantify sensitivities of prevalence to each population dynamic.ResultsThe model using incidence rate estimates from the Hill equations successfully predicted diabetes prevalence of younger, middle-aged, and older adults (prediction error, 20.0%, 9.64%, and 7.58% respectively). Diabetes prevalence was positively associated with diabetes incidence in every age group, but the associations among younger adults were stronger. In contrast, diabetes prevalence was more sensitive to death rates in older adults than younger adults. Both diabetes incidence and prevalence were strongly sensitive to BMI at younger ages, but sensitivity gradually declined as age progressed. Younger and middle aged adults diagnosed with diabetes had at least a two-fold greater risk of death than their nondiabetic counterparts. Nondiabetic older adults were found to be under slightly higher death risk (0.079) than those diagnosed with diabetes (0.073).ConclusionsThe proposed model predicts diagnosed diabetes incidence and prevalence reasonably well using the link between BMI and diabetes development risk. Ethnic group and gender-specific model parameter estimates could further improve predictions. Model prediction accuracy and applicability need to be comprehensively evaluated with independent data sets

Rif1 Supports the Function of the CST Complex in Yeast Telomere Capping

Telomere integrity in budding yeast depends on the CST (Cdc13-Stn1-Ten1) and shelterin-like (Rap1-Rif1-Rif2) complexes, which are thought to act independently from each other. Here we show that a specific functional interaction indeed exists among components of the two complexes. In particular, unlike RIF2 deletion, the lack of Rif1 is lethal for stn1ΔC cells and causes a dramatic reduction in viability of cdc13-1 and cdc13-5 mutants. This synthetic interaction between Rif1 and the CST complex occurs independently of rif1Δ-induced alterations in telomere length. Both cdc13-1 rif1Δ and cdc13-5 rif1Δ cells display very high amounts of telomeric single-stranded DNA and DNA damage checkpoint activation, indicating that severe defects in telomere integrity cause their loss of viability. In agreement with this hypothesis, both DNA damage checkpoint activation and lethality in cdc13 rif1Δ cells are partially counteracted by the lack of the Exo1 nuclease, which is involved in telomeric single-stranded DNA generation. The functional interaction between Rif1 and the CST complex is specific, because RIF1 deletion does not enhance checkpoint activation in case of CST-independent telomere capping deficiencies, such as those caused by the absence of Yku or telomerase. Thus, these data highlight a novel role for Rif1 in assisting the essential telomere protection function of the CST complex

Multi-center feasibility study evaluating recruitment, variability in risk factors and biomarkers for a diet and cancer cohort in India

<p>Abstract</p> <p>Background</p> <p>India's population exhibits diverse dietary habits and chronic disease patterns. Nutritional epidemiologic studies in India are primarily of cross-sectional or case-control design and subject to biases, including differential recall of past diet. The aim of this feasibility study was to evaluate whether a diet-focused cohort study of cancer could be established in India, providing insight into potentially unique diet and lifestyle exposures.</p> <p>Methods</p> <p>Field staff contacted 7,064 households within three regions of India (New Delhi, Mumbai, and Trivandrum) and found 4,671 eligible adults aged 35-69 years. Participants completed interviewer-administered questionnaires (demographic, diet history, physical activity, medical/reproductive history, tobacco/alcohol use, and occupational history), and staff collected biological samples (blood, urine, and toenail clippings), anthropometric measurements (weight, standing and sitting height; waist, hip, and thigh circumference; triceps, sub-scapula and supra-patella skin fold), and blood pressure measurements.</p> <p>Results</p> <p>Eighty-eight percent of eligible subjects completed all questionnaires and 67% provided biological samples. Unique protein sources by region were fish in Trivandrum, dairy in New Delhi, and pulses (legumes) in Mumbai. Consumption of meat, alcohol, fast food, and soft drinks was scarce in all three regions. A large percentage of the participants were centrally obese and had elevated blood glucose levels. New Delhi participants were also the least physically active and had elevated lipids levels, suggesting a high prevalence of metabolic syndrome.</p> <p>Conclusions</p> <p>A high percentage of participants complied with study procedures including biological sample collection. Epidemiologic expertise and sufficient infrastructure exists at these three sites in India to successfully carry out a modest sized population-based study; however, we identified some potential problems in conducting a cohort study, such as limited number of facilities to handle biological samples.</p