25 research outputs found

    Birthing While Black: The Maternal Health Experiences in Kansas

    Full text link
    The state of maternal health and infant mortality in the United States is far worse than 33 developed countries (CDCP NCHS, 2018). Black mothers and infants die at twice the rate in comparison to mothers and infants of other races (CDC, 2020). Infant mortality is the death of a child before the age of one. The Sisters and Brothers for Healthy Infants Initiative focuses on education, community engagement, elevating the voices of Black mothers and fathers, and a community birthday party to celebrate Black infants first birthday. This signature event is known as Celebrate Day 366, a day to share information Black infant mortality, co-parenting, and fatherhood, conduct a community conversation on birth equity, and celebrate Black babies first birthday. This paper reflects the results from a panel discussion of community members and stakeholders in Kansas sharing their experiences with maternal and infant mortality. The Health Equity Framework four main components (systems of power, relationships and networks, individual factors, physiological pathways, that are integral to the inequities in maternal health and infant mortality was used to guide our research analysis (Peterson, et. al 2020). As a part of the qualitative content analysis, five themes emerged: 1) stress during pregnancy; 2) advocacy; 3) innovation of technology not equating to health equity; 4) realization of inferior care; and 5) racism and stereotypes. The themes reflected similar lived experiences amongst Black mothers, fathers, and physicians surrounding maternal health and infant mortality inequities. The results of the CD366 panel discussion highlight the importance of exploring how, if at all, Black mothers and fathers, are benefiting from the birthing experience

    Impact of multimorbidity count on all-cause mortality and glycaemic outcomes in people with type 2 diabetes: a systematic review protocol

    Get PDF
    Introduction: Type 2 diabetes (T2D) is a leading health priority worldwide. Multimorbidity (MM) is a term describing the co-occurrence of two or more chronic diseases or conditions. The majority of people living with T2D have MM. The relationship between MM and mortality and glycaemia in people with T2D is not clear. Methods and analysis: Medline, Embase, Cumulative Index of Nursing and Allied Health Complete, The Cochrane Library, and SCOPUS will be searched with a prespecified search strategy. The searches will be limited to quantitative empirical studies in English with no restriction on publication date. One reviewer will perform title screening and two review authors will independently screen the abstract and full texts using Covidence software, with disagreements adjudicated by a third reviewer. Data will be extracted using a using a Population, Exposure, Comparator and Outcomes framework. Two reviewers will independently extract data and undertake the risk of bias (quality) assessment. Disagreements will be resolved by consensus. A narrative synthesis of the results will be conducted and meta-analysis considered if appropriate. Quality appraisal will be undertaken using the Newcastle-Ottawa quality assessment scale and the quality of the cumulative evidence of the included studies will be assessed using the Grading of Recommendations, Assessment, Development and Evaluation approach. This protocol was prepared in adherence to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols guidelines to ensure the quality of our review. Ethics and dissemination: This review will synthesise the existing evidence about the impact of MM on mortality and glycaemic outcomes in people living with T2D and increase our understanding of this subject and will inform future practice and policy. Findings will be disseminated via conference presentations, social media and peer-reviewed publication

    Insulin micro-secretion in Type 1 diabetes and related microRNA profiles

    Get PDF
    The aim of this cross-sectional study was to compare plasma C-peptide presence and levels in people without diabetes (CON) and with Type 1 diabetes and relate C-peptide status to clinical factors. In a subset we evaluated 50 microRNAs (miRs) previously implicated in beta-cell death and associations with clinical status and C-peptide levels. Diabetes age of onset was stratified as adult (≥ 18 y.o) or childhood ( 20 years. Plasma C-peptide was measured by ultrasensitive ELISA. Plasma miRs were quantified using TaqMan probe-primer mix on an OpenArray platform. C-peptide was detectable in 55.3% of (n= 349) people with diabetes, including 64.1% of adults and 34.0% of youth with diabetes, p 20 years) had detectable C-peptide (60%) than in those with shorter diabetes duration (39%, p for trend< 0.05). Nine miRs significantly correlated with detectable C-peptide levels in people with diabetes and 16 miRs correlated with C-peptide levels in CON. Our cross-sectional study results are supportive of (a) greater beta-cell function loss in younger onset Type 1 diabetes; (b) persistent insulin secretion in adult-onset diabetes and possibly regenerative secretion in childhood-onset long diabetes duration; and (c) relationships of C-peptide levels with circulating miRs. Confirmatory clinical studies and related basic science studies are merited

    Longitudinal analysis of low-molecular weight fluorophores in type 1 diabetes mellitus

    Get PDF
    Objectives : Circulating low molecular weight (<10 kDa) fluorophores (LMW-F) measured by non-specific fluorescence spectroscopy may detect small advanced glycation end-products (AGEs) not recognized by other assays. This longitudinal study assessed correlates of LMW-F and predictive power of LMW-F levels for vascular health in Type 1 diabetes (T1DM) patients. Methods : Fasting patients with T1DM (n=37) were studied twice at intervals of 12-60 months (mean±SD, 33±15 months). LMW-F levels were also measured once in 112 healthy control subjects. Results : Relative to controls, LMW-F levels were higher in diabetic subjects at initial and final time points (mean±SD), 5.4±1.9 AU/ml and 4.5±1.8 AU/ml respectively vs. 3.8±2.1 AU/ml p=0.0001 and p=0.06). Baseline LMW-F levels predicted subsequent hs-CRP and oxLDL/LDL values. LMW-F levels decreased significantly over time in diabetes (5.4±1.9 vs. 4.5±1.8 AU/ml p=0.02). Rises in LMW-F levels in individual diabetic subjects correlated significantly with worsening renal function (BUN), glycemia (HbA1c) and with vascular dysfunction (systemic vascular resistance). Conclusions : LMW-F levels predict levels of inflammation and oxidation in T1DM. Changes in LMW-F levels in T1DM reflect variations in glycemia and renal function. Biochemical characterization of LMW-F would facilitate understanding of the potential utility of LMW-F as a therapeutic target

    Socioeconomic status and time in glucose target range in people with type 2 diabetes: a baseline analysis of the GP-OSMOTIC study

    Get PDF
    Abstract Background Optimal glycaemia, reflected by glycated haemoglobin (HbA1c) levels, is key in reducing type 2 diabetes (T2D) complications. However, most people with T2D have suboptimal recall and understanding of HbA1c. Continuous glucose monitoring (CGM) measures glucose levels every 5 to 15-min over days and may be more readily understood. Given that T2D is more common in lower socioeconomic settings, we aim to study relationships between socioeconomic status (SES) and percentage time in glucose target range (TIR) which is a key metric calculated from CGM. Methods Analysis of baseline data from the General Practice Optimising Structured MOnitoring To Improve Clinical outcomes (GP-OSMOTIC) randomised controlled trial (October 2016 – November 2017) of 300 people with T2D from 25 Victorian General Practices. FreeStyle Libre Pro® sensor patch was used for this study. SES was defined by the Index of Relative Socio-economic Disadvantage (IRSD) and educational attainment. Univariable and multivariable mixed-effects linear regression analyses controlling for age, BMI, diet, exercise and study arm were performed. Results One hundred and sixty-seven (60.1%) participants were male, the mean (SD) participant age was 61.0 (9.7) years, and the mean (SD) duration of CGM use was 12.3 (2.5) days. The 10th IRSD decile (least disadvantaged) was associated with a 15% higher TIR vs. the 1st decile (most disadvantaged) (95% CI 5, 25; p = 0.003) and a 0.6% lower HbA1c (95% CI 0.1, 1; p = 0.03). There was no evidence of an association between educational attainment and TIR/HbA1c. Conclusion Higher SES measured at an area level is associated with better achievement of glycaemic target using complementary measures of HbA1c and TIR in the GP-OSMOTIC cohort. Given that TIR may be more easily used in patient education and self-management support compared to HbA1c values, the social gradient identified in TIR provides an opportunity for clinicians and policy makers to address health inequities in T2D. Trial registration Australian and New Zealand Clinical Trials Registry Trial ACTRN12616001372471, prospective, Date registered 4/10/2016

    Prescribing of diabetes medications to people with type 2 diabetes and chronic kidney disease: a national cross-sectional study

    Get PDF
    Abstract Background Previous studies in general practice and hospital settings have identified that prescribing of non-insulin diabetes medications may be sub-optimal in people with type 2 diabetes (T2D) and renal impairment. Since these publications, a number of new medications have become available for the management of T2D. Study aims were to, in a cohort of Australians with T2D and renal impairment attending general practice, (1) investigate whether the prescribing of non-insulin diabetes medications is consistent with dosing adjustments recommended within current Australian Diabetes Society (ADS) guidelines; and (2) identify patient socio-demographic and clinical factors associated with at least one prescription of a non-insulin diabetes medication inconsistent with current ADS guidelines for medication doses. Methods Cross-sectional study using data from the MedicineInsight general practice database managed by NPS MedicineWise. Patients with T2D who were aged 18 years and over, with an average eGFR< 60 ml/min/1.73m2 and at least one prescription of a non-insulin diabetes medication between 1st January 2015 and 30th June 2017 were included. Descriptive statistics were used to summarise patient characteristics and medication use. Marginal logistic regression models were used to estimate associations between sociodemographic and clinical factors and prescribing of ≥1non-insulin diabetes medicine not consistent with ADS guidelines. Results The majority of the 3505 patients included (90.4%) had an average eGFR of 30-59 ml/min/1.73m2. In terms of absolute numbers, metformin was the medication most frequently prescribed at a dose not consistent with current ADS guidelines for dosing in renal impairment (n = 1601 patients), followed by DPP4 inhibitors (n = 611) and sulphonylureas (n = 278). The drug classes with the highest proportion of prescriptions with dosage not consistent with ADS guidelines were SGLT2 inhibitors (83%), followed by biguanides (58%) and DPP4 inhibitors (46%). Higher HbA1c, longer known diabetes duration and diagnosis of retinopathy were associated with receiving ≥1prescription with a dosage not consistent with guidelines. Conclusions Prescribing of non-insulin diabetes medications at doses inconsistent with current ADS guideline recommendations for dosing adjustments for people with renal impairment was common. Further research is needed to understand how general practitioners access, interpret and apply the ADS guidelines and the impact this may have on patient outcomes

    Prescribing of diabetes medications to people with type 2 diabetes and chronic kidney disease: a national cross-sectional study

    No full text
    Abstract Background Previous studies in general practice and hospital settings have identified that prescribing of non-insulin diabetes medications may be sub-optimal in people with type 2 diabetes (T2D) and renal impairment. Since these publications, a number of new medications have become available for the management of T2D. Study aims were to, in a cohort of Australians with T2D and renal impairment attending general practice, (1) investigate whether the prescribing of non-insulin diabetes medications is consistent with dosing adjustments recommended within current Australian Diabetes Society (ADS) guidelines; and (2) identify patient socio-demographic and clinical factors associated with at least one prescription of a non-insulin diabetes medication inconsistent with current ADS guidelines for medication doses. Methods Cross-sectional study using data from the MedicineInsight general practice database managed by NPS MedicineWise. Patients with T2D who were aged 18 years and over, with an average eGFR< 60 ml/min/1.73m2 and at least one prescription of a non-insulin diabetes medication between 1st January 2015 and 30th June 2017 were included. Descriptive statistics were used to summarise patient characteristics and medication use. Marginal logistic regression models were used to estimate associations between sociodemographic and clinical factors and prescribing of ≥1non-insulin diabetes medicine not consistent with ADS guidelines. Results The majority of the 3505 patients included (90.4%) had an average eGFR of 30-59 ml/min/1.73m2. In terms of absolute numbers, metformin was the medication most frequently prescribed at a dose not consistent with current ADS guidelines for dosing in renal impairment (n = 1601 patients), followed by DPP4 inhibitors (n = 611) and sulphonylureas (n = 278). The drug classes with the highest proportion of prescriptions with dosage not consistent with ADS guidelines were SGLT2 inhibitors (83%), followed by biguanides (58%) and DPP4 inhibitors (46%). Higher HbA1c, longer known diabetes duration and diagnosis of retinopathy were associated with receiving ≥1prescription with a dosage not consistent with guidelines. Conclusions Prescribing of non-insulin diabetes medications at doses inconsistent with current ADS guideline recommendations for dosing adjustments for people with renal impairment was common. Further research is needed to understand how general practitioners access, interpret and apply the ADS guidelines and the impact this may have on patient outcomes

    Biomarkers in diabetic retinopathy

    No full text
    There is a global diabetes epidemic correlating with an increase in obesity. This coincidence may lead to a rise in the prevalence of type 2 diabetes. There is also an as yet unexplained increase in the incidence of type 1 diabetes, which is not related to adiposity. Whilst improved diabetes care has substantially improved diabetes outcomes, the disease remains a common cause of working age adult-onset blindness. Diabetic retinopathy is the most frequently occurring complication of diabetes; it is greatly feared by many diabetes patients. There are multiple risk factors and markers for the onset and progression of diabetic retinopathy, yet residual risk remains. Screening for diabetic retinopathy is recommended to facilitate early detection and treatment. Common biomarkers of diabetic retinopathy and its risk in clinical practice today relate to the visualization of the retinal vasculature and measures of glycemia, lipids, blood pressure, body weight, smoking, and pregnancy status. Greater knowledge of novel biomarkers and mediators of diabetic retinopathy, such as those related to inflammation and angiogenesis, has contributed to the development of additional therapeutics, in particular for late-stage retinopathy, including intra-ocular corticosteroids and intravitreal vascular endothelial growth factor inhibitors (‘anti-VEGFs’) agents. Unfortunately, in spite of a range of treatments (including laser photocoagulation, intraocular steroids, and anti-VEGF agents, and more recently oral fenofibrate, a PPAR-alpha agonist lipid-lowering drug), many patients with diabetic retinopathy do not respond well to current therapeutics. Therefore, more effective treatments for diabetic retinopathy are necessary. New analytical techniques, in particular those related to molecular markers, are accelerating progress in diabetic retinopathy research. Given the increasing incidence and prevalence of diabetes, and the limited capacity of healthcare systems to screen and treat diabetic retinopathy, there is need to reliably identify and triage people with diabetes. Biomarkers may facilitate a better understanding of diabetic retinopathy, and contribute to the development of novel treatments and new clinical strategies to prevent vision loss in people with diabetes. This article reviews key aspects related to biomarker research, and focuses on some specific biomarkers relevant to diabetic retinopathy

    Developing Content for the Food Environment Assessment Survey Tool (FEAST): A Systematic Mixed Methods Study with People with Disabilities

    No full text
    Almost 1 in every 8 adults in the U.S. have a physical disability that impairs mobility. This participatory project aimed to identify and describe environmental and personal barriers to healthy eating among people with mobility impairments using a rigorous, structured mixed methodology. Community-dwelling adults with a self-reported mobility impairment (N = 20, M = 40.4 years old, 60% female) participated in nominal group technique focus groups. The Ecologic Model of Obesity grounded stimulus questions asked about barriers to obtaining and preparing healthy food. Participants emphasized common barriers across everyday settings&mdash;focusing, for example, on the ability to reach shelved food inside the home, navigating to and inside stores and restaurants, and using delivery services. Home environments often did not afford suitable spaces for food preparation and storage. Participants reported inadequate transportation and numerous additional barriers in many settings to be able to eat healthfully. Participants reported lack of accessible transportation and architectural barriers inside stores, restaurants, and their own homes, highlighting the need for efforts aimed at improving accessibility and usability. Findings support the use of the Ecologic Model of Obesity to guide research and suggest the need for improvement in assessment practices and policies that enhance access to healthy food
    corecore