Dataset Information

Longitudinal Associations Between Illness Perceptions and Glycemic Control in Type 2 Diabetes.

ABSTRACT:

Background

Cross-sectional research demonstrates associations between illness perceptions and glycemic control in people with type 2 diabetes (T2D). Prospective studies are limited and show mixed findings. This study aimed to investigate (1) whether baseline illness perceptions predicted glycemic control (HbA1c levels) at 6-12-month follow-up and (2) possible differences in baseline illness perceptions between individuals who completed at least one HbA1c blood test during the 12-month follow-up and those who did not.

Methods

A total of 115 individuals with T2D were recruited from an outpatient clinic. Demographic and clinical information and illness perceptions were assessed at baseline. HbA1c was assessed at baseline and 12 months later from clinical records. Hierarchical multiple linear regression examined associations between baseline illness perceptions and HbA1c levels at 6-12-month follow-up, controlling for age, sex, education, types of diabetes medication, and baseline HbA1c.

Results

Univariate analysis showed perceived weight management effectiveness at baseline was associated with lower HbA1c at follow-up (rho = -.25, p = .04, n = 67). Adjusted multiple regression showed that HbA1c at baseline was the only significant predictor of HbA1c at 6-12-month follow-up (β = 0.51, p < .001). There were no significant differences in baseline illness perceptions between individuals who completed HbA1c blood tests during follow-up (n = 78) and those who did not (n = 34), p > .05.

Conclusion

Illness perceptions at baseline did not predict longitudinal HbA1c in adjusted analyses, nor completion of HbA1c tests. Results may be due to temporal variability in HbA1c and barriers to accessing blood tests.

SUBMITTER: Alyami M

PROVIDER: S-EPMC8439369 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature

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Publications

Longitudinal Associations Between Illness Perceptions and Glycemic Control in Type 2 Diabetes.

Alyami Mohsen M Serlachius Anna A Mokhtar Ibrahim I Broadbent Elizabeth E

International journal of behavioral medicine 20210914 4

<h4>Background</h4>Cross-sectional research demonstrates associations between illness perceptions and glycemic control in people with type 2 diabetes (T2D). Prospective studies are limited and show mixed findings. This study aimed to investigate (1) whether baseline illness perceptions predicted glycemic control (HbA1c levels) at 6-12-month follow-up and (2) possible differences in baseline illness perceptions between individuals who completed at least one HbA1c blood test during the 12-month fo ...[more]

PMID: 34523073

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Project description:IntroductionType 2 diabetes mellitus (T2DM) and comorbid conditions require patients to take complex medication regimens. Greater regimen complexity has been associated with poorer T2DM management; however, the relationship between overall regimen complexity and glycemic control is unclear.ObjectivesOur objectives were: (1) to examine associations between regimen complexity (with the Medication Regimen Complexity Index [MRCI]) and glycemic control (A1C), and (2) to compare overall MRCI with other measures of regimen complexity (overall and diabetes-specific medication count) and diabetes-specific MRCI.MethodsThis was a secondary data analysis of cross-sectional data from a parent trial. Participants were patients with T2DM taking at least 3 chronic medications followed in safety net clinics in the Chicago area. The MRCI measures complexity based on dosing frequency, route of administration, and special instructions for prescribed medications. MRCI scores were created for overall regimens and diabetes-specific medications. Sociodemographics and outpatient visit utilization were included in models as covariates. Linear regression was used to examine the associations between variables of interest and hemoglobin A1C.ResultsParticipants (N = 432) had a mean age of 56.9 years, most were female (66.0%), and Hispanic or Latino (73.3%). Regimen complexity was high based on overall medications (mean = 6.6 medications, SD: 3.09) and MRCI (mean = 21.4, SD: 11.3). Higher diabetes-specific MRCI was associated with higher A1C in bivariate and multivariable models. In multivariable models, overall MRCI greater than 14, fewer outpatient health care visits, male gender, and absence of health insurance were independently associated with higher A1C. The variance in A1C explained by MRCI was higher compared to medication count for overall and diabetes-specific regimen complexity.ConclusionsMore complex regimens are associated with worse A1C and measuring complexity with MRCI may have advantages. Deprescribing, increasing insurance coverage, and promoting engagement in health care may improve A1C among underserved populations with complex regimens.

Project description:BackgroundPatients with type 1 diabetes (T1DM) typically have normal or even elevated plasma high density lipoprotein (HDL) cholesterol concentrations; however, HDL protein composition can be altered without a change in cholesterol content. Alteration of the HDL proteome can result in dysfunctional HDL particles with reduced ability to protect against cardiovascular disease (CVD). The objective of this study was to compare the HDL proteomes of youth with T1DM and healthy controls (HC) and to evaluate the influence of glycemic control on HDL protein composition.MethodsThis was a cross-sectional case-control study. Blood samples were obtained from patients with T1DM and HC. HDL was isolated from plasma by size-exclusion chromatography and further purified using a lipid binding resin. The HDL proteome was analyzed by mass spectrometry using label-free SWATH peptide quantification.ResultsSamples from 26 patients with T1DM and 13 HC were analyzed and 78 HDL-bound proteins were measured. Youth with T1DM had significantly increased amounts of complement factor H related protein 2 (FHR2; adjusted P < 0.05), compared to HC. When patients were analyzed based on glucose control, several trends emerged. Some proteins were altered in T1DM and not influenced by glycemic control (e.g. FHR2) while others were partially or completely corrected with optimal glucose control (e.g. alpha-1-beta glycoprotein, A1BG). In a subgroup of poorly controlled T1DM patients, inter alpha trypsin inhibitor 4 (ITIH4) was dramatically elevated (P < 0.0001) and this was partially reversed in patients with optimal glucose control. Some proteins including complement component C3 (CO3) and albumin (ALB) were significantly different only in T1DM patients with optimal glucose control, suggesting a possible effect of exogenous insulin.ConclusionsYouth with T1DM have proteomic alterations of their HDL compared to HC, despite similar concentration of HDL cholesterol. The influence of these compositional changes on HDL function are not yet known. Future efforts should focus on investigating the role of these HDL associated proteins in regard to HDL function and their role in CVD risk in patients with T1DM. Trial registration NCT02275091.

Dataset Information

Longitudinal Associations Between Illness Perceptions and Glycemic Control in Type 2 Diabetes.

Background

Methods

Results

Conclusion

Publications

Longitudinal Associations Between Illness Perceptions and Glycemic Control in Type 2 Diabetes.

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