‘I could have made those changes years earlier’: experiences and characteristics associated with receiving a prediabetes diagnosis among individuals recently diagnosed with type 2 diabetes

2019 ◽  
Vol 37 (3) ◽  
pp. 382-389 ◽  
Author(s):  
Mari Somerville ◽  
Emily Burch ◽  
Lauren Ball ◽  
Lauren T Williams

Abstract Background Prediabetes increases the risk of developing type 2 diabetes (T2D). Improving diet quality is key in preventing this progression, yet little is known about the characteristics of individuals with prediabetes or the nutrition care they receive. Objectives This study aims to identify characteristics and experiences associated with receiving a prediabetes diagnosis prior to developing T2D. Methods A mixed methods study encompassed a quantitative subanalysis of participants with newly diagnosed T2D from The 3D Study, and semi-structured telephone interviews with a subsample of participants who were previously diagnosed with prediabetes. Interviews were thematically analysed and survey data synthesized using SPSS statistical software. Results Of the 225 study participants, 100 individuals were previously diagnosed with prediabetes and 120 participants were not. Those with prediabetes were less likely to be smokers (P = 0.022) and more likely to be satisfied with seeing a dietitian (P = 0.031) than those without a previous prediabetes diagnosis. A total of 20 participants completed semi-structured interviews. Thematic analysis revealed three themes: (i) experiencing a prediabetes diagnosis; (ii) receiving nutrition care during prediabetes and (iii) reflecting on the experience of receiving care for prediabetes versus T2D. Conclusions There are gaps in the current management of prediabetes in Australia. Low rates of prediabetes diagnosis and an ambiguous experience of receiving this diagnosis suggest an area of health service improvement. With no difference in diet quality between individuals with and without a previous prediabetes diagnosis, the nutrition care during prediabetes may be more important than the diagnosis itself in delaying the onset of T2D.

Author(s):  
Julia Estela Willrich Böell ◽  
Denise Maria Guerreiro Vieira da Silva ◽  
Kathleen Mary Hegadoren

ABSTRACT Objective: to investigate the association between resilience and sociodemographic variables and the health of people with chronic kidney disease and / or type 2 diabetes mellitus. Method: a cross-sectional observational study performed with 603 people with chronic kidney disease and / or type 2 diabetes mellitus. A tool to collect socio-demographic and health data and the Resilience Scale developed by Connor and Davidson were applied. A descriptive and multivariate analysis was performed. Results: the study participants had on average 61 years old (SD= 13.2), with a stable union (52.24%), religion (96.7%), retired (49.09%), with primary education (65%) and income up to three minimum wages. Participants with kidney disease showed less resilience than people with diabetes. Conclusion: the type of chronic illness, disease duration, body mass index and religious beliefs influenced the resilience of the study participants.


2014 ◽  
Vol 22 (6) ◽  
pp. 980-987 ◽  
Author(s):  
Lucas Pereira de Melo ◽  
Edemilson Antunes de Campos

OBJECTIVE: to interpret the meanings patients with type 2 diabetes mellitus assign to health education groups.METHOD: ethnographic study conducted with Hyperdia groups of a healthcare unit with 26 informants, with type 2 diabetes mellitus, and having participated in the groups for at least three years. Participant observation, social characterization, discussion groups and semi-structured interviews were used to collect data. Data were analyzed through the thematic coding technique.RESULTS: four thematic categories emerged: ease of access to the service and healthcare workers; guidance on diabetes; participation in groups and the experience of diabetes; and sharing knowledge and experiences. The most relevant aspect of this study is the social use the informants in relation to the Hyperdia groups under study.CONCLUSION: the studied groups are agents producing senses and meanings concerning the process of becoming ill and the means of social navigation within the official health system. We expect this study to contribute to the actions of healthcare workers coordinating these groups given the observation of the cultural universe of these individuals seeking professional care in the various public health care services.


2016 ◽  
Vol 5 (3) ◽  
pp. 274
Author(s):  
William G Wuenstel ◽  
James A. Johnson ◽  
James Humphries ◽  
Cheryl Samuel

<table width="593" border="1" cellspacing="0" cellpadding="0"><tbody><tr><td rowspan="2" valign="top" width="387">The purpose of this meta-analysis was to examine the impact of ethnicity and obesity as it relates to Type-2 Diabetes (T2D) in specific Central American countries. A meta-analysis was conducted to determine the association of ethnicity, obesity, and T2D.  Four studies that qualified for inclusion were identified by searching MEDLINE and PubMed databases. The studies on the association of ethnicity and T2D had a combined population resulted in 265,858 study participants. Two studies on the association of obesity and T2D had 197,899 participants. An analysis of the data was conducted utilizing the relative risk ration, odds ratio, and forest plots. The comparison of the relative risk of T2D across ethnic categories by studies range for Blacks was 1.59 to 2.74, Asians was 1.43 to 2.08, and Hispanics .92 to 2.91.  The ethnic difference in the prevalence of diabetes was almost two-fold higher in all ethnic groups than among the Caucasians with a significance level of 95%. A comparison of relative risk of T2D across weight categories was significantly higher among those with a diagnosed of diabetes in all reported areas. The odds ratio was very close to the risk ratio in both ethnicity and obesity to the development of T2D. The meta-analysis findings documented that an association does exist between ethnicity and obesity to the development of type 2 diabetes.</td><td width="0" height="85"> </td></tr><tr><td width="0" height="82"> </td></tr></tbody></table>


2021 ◽  
Author(s):  
Hannah R. Lucas ◽  
Roxann C. Williams ◽  
Laura N. Hollar ◽  
Bethany Johnson-Javois ◽  
Heidi B. Miller ◽  
...  

Gestational diabetes mellitus (GDM) increases type 2 diabetes risk; however, postpartum diabetes screening rates are low. Using semi-structured interviews and focus groups, this study investigates the understanding of GDM and its relationship to future diabetes risk and diabetes prevention among patients with public or no insurance (<i>n </i>= 36), health care providers (<i>n </i>= 21), and clinic staff (<i>n </i>= 9) from Federally Qualified Health Centers. Five main themes emerged: <i>1</i>) general understanding of GDM diagnosis with focus on neonatal complications; <i>2</i>) variable recall of diet, exercise, and weight recommendations; <i>3</i>) overwhelming medication and self-monitoring routines; <i>4</i>) short-term focus of type 2 diabetes risk and screening; and <i>5</i>) limited understanding of all options for diabetes prevention. The results may inform diabetes screening and prevention interventions in primary care settings.


2021 ◽  
Author(s):  
Petra C Vinke ◽  
Gerjan Navis ◽  
Daan Kromhout ◽  
Eva Corpeleijn

<b>Objective: </b>To simultaneously investigate the association of diet quality and all-cause mortality in groups with varying cardiometabolic diseases (CMDs) at baseline.<br><p> <b>Design:</b> From the population-based Lifelines cohort, 40,892 non-underweight participants aged ≥50 years with data on diet quality and confounding factors were included (enrollment 2006-2013). From food frequency questionnaire data, tertiles of the Lifelines diet score were calculated (T1 = poorest, T3 = best diet quality). Four CMD categories were defined: 1) CMD-free, 2) type 2 diabetes, 3) one cardiovascular disease (CVD), 4) two or more CMDs. Months when deaths occurred were obtained from municipal registries up until November 2019. Multivariable Cox proportional hazards models were applied for the total population and stratified by CMD categories.<br> <b>Results</b>: After a median follow-up of 7.6 years, 1,438 participants died. Diet quality and CMD categories were independently associated with all-cause mortality in crude and adjusted models (p < 0.001). A dose-response relationship of diet quality with all-cause mortality was observed in the total population (P for trend < 0.001, T2 vs. T3 = 1.22 (1.07-1.41), T1 vs. T3 = 1.57 (1.37-1.80)). In stratified analyses, the association was significant for CMD-free individuals (T1 vs. T3 = 1.63 (1.38-1.93)) and for type 2 diabetes patients (1.87 (1.17-3.00)), but not for patients with one CVD (1.39 (0.93-2.08)) or multiple CMDs (1.19 (0.80-1.76)).<br> <b>Conclusions</b>: A high-quality diet can potentially lower all-cause mortality risk in the majority of the ageing population. Its effect may be greatest for CMD-free individuals and patients with type 2 diabetes. Tailored dietary guidelines may be required for patients with extensive histories of CMDs. </p>


2012 ◽  
Vol 29 (6) ◽  
pp. 719-725 ◽  
Author(s):  
L. Ball ◽  
R. Hughes ◽  
B. Desbrow ◽  
M. Leveritt

2012 ◽  
Vol 59 (2) ◽  
pp. 109-116 ◽  
Author(s):  
Apostolis Mangou ◽  
Maria G. Grammatikopoulou ◽  
Daphne Mirkopoulou ◽  
Nikolaos Sailer ◽  
Charalambos Kotzamanidis ◽  
...  

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Danielle E Haslam ◽  
Dong Wang ◽  
Liming Liang ◽  
Rachel S Kelly ◽  
Clemens Wittenbecher ◽  
...  

Introduction: Puerto Rican (PR) adults living on the US mainland are at high risk for developing type 2 diabetes (T2D), and dietary factors may contribute to this increased risk. Network analysis is a data-reduction tool that can identify correlated clusters of co-regulated metabolites that reflect mechanisms underlying diet-T2D associations. Hypothesis: Diet quality will associate with T2D-associated metabolite clusters among PR adults. Methods: We used LC/MS to measure fasting plasma metabolites (>700) among Boston PR Health Study participants, aged 45-75 years, with (n=258) and without (n=421) T2D. We applied an unsupervised correlation network-based method to identify metabolite clusters within a global metabolite network and calculated a score for each cluster using a weighted sum of metabolite concentrations. To estimate diet quality, we calculated a modified version of a previously validated American Heart Association diet score (AHA-DS). Logistic regression was used to assess cross-sectional associations between metabolite clusters and prevalent T2D, and linear regression was used to assess associations between the continuous AHA-DS and T2D-associated metabolite clusters among controls, adjusting for potential confounders and correcting for multiple testing. Results: We identified 7 metabolite clusters that were associated with prevalent T2D ( p <0.05). For every 1-standard deviation (SD) increase in cluster score, the odds ratios for prevalent T2D and 95% confidence intervals were as the follows: acylcholines [0.40 (0.31, 0.50)], aromatic hydrocarbon derivatives [0.33 (0.22, 0.47)], sphingolipids [0.46 (0.33, 0.64)], tricarboxylic acid (TCA) cycle amino acids/peptides [0.39 (0.25, 0.62)], branched-chain amino acid metabolites [4.1 (2.9, 6.0)], acylcarnitines [1.8 (1.3, 2.5)], and TCA cycle/energy metabolites [2.0 (1.4, 3.0)]. The AHA-DS was only significantly associated with the acylcholine metabolites cluster [β (standard error) = 0.01 (0.004) SD increase in cluster score, p=0.02]. Conclusions: In individuals of PR descent, we identified a cluster of acylcholine metabolites where concentrations are higher among those with better diet quality and lower among those with prevalent T2D.


2020 ◽  
Vol 318 (2) ◽  
pp. F443-F454 ◽  
Author(s):  
Aleksander Vauvert R. Hviid ◽  
Charlotte M. Sørensen

Glucagon-like peptide-1 (GLP-1) and strategies based on this blood sugar-reducing and appetite-suppressing hormone are used to treat obesity and type 2 diabetes. However, the GLP-1 receptor (GLP-1R) is also present in the kidney, where it influences renal function. The effect of GLP-1 on the kidney varies between humans and rodents. The effect of GLP-1 on kidney function also seems to vary depending on its concentration and the physiological or pathological state of the kidney. In studies with rodents or humans, acute infusion of pharmacological doses of GLP-1 stimulates natriuresis and diuresis. However, the effect on the renal vasculature is less clear. In rodents, GLP-1 infusion increases renal plasma flow and glomerular filtration rate, suggesting renal vasodilation. In humans, only a subset of the study participants exhibits increased renal plasma flow and glomerular filtration rate. Differential status of kidney function and changes in renal vascular resistance of the preglomerular arterioles may account for the different responses of the human study participants. Because renal function in patients with type 2 diabetes is already at risk or compromised, understanding the effects of GLP-1R activation on kidney function in these patients is particularly important. This review examines the distribution of GLP-1R in the kidney and the effects elicited by GLP-1 or GLP-1R agonists. By integrating results from acute and chronic studies in healthy individuals and patients with type 2 diabetes along with those from rodent studies, we provide insight into how GLP-1R activation affects renal function and autoregulation.


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