Paradoxical Relationship Between Glycated Hemoglobin and Longitudinal Change in Physical Functioning in Older Adults: A Prospective Cohort Study

Lower HbA1C of glycemic control is associated with higher risk of depressive symptoms in elderly with type 2 diabetes mellitus-A Nationwide Community-based study

OBJECTIVE

We investigated the correlation between glycemic control status and depressive symptoms in type 2 diabetes elderly.

METHODS

A total of 1527 participants with type 2 diabetes aged 55 years and older from the Healthy Aging Longitudinal Study in Taiwan study were included in this cross-sectional study. The Center for Epidemiologic Studies Depression Scale (CESD) (20 items) score of ≥16 was indicative of depressive symptoms. The participants were divided into HbA1c ≥ 6.5% and < 6.5% representing the glycemic control. Multiple logistic regression (MLR) and Generalized linear model (GLM) were used.

RESULTS

The MLR analysis showed that the low HbA1c group had significant two-fold increased odds of depressive symptoms compared to the high HbA1c group (OR 1.89, 95% CI 1.17-3.05). The risk of depressive symptoms was lower among males (OR 0.49, 95% CI 0.30-0.80) and those with higher BMI (OR 0.93, 95% CI 0.86-1.00); whereas the risk was higher among those who lived alone (OR 2.37, 95% CI 1.31-4.27) and with ADL disability (OR 3.01, 95% CI 1.85-4.89). The GLM showed that the dimension of depressive affect reached statistical significance with lower HbA1c.

CONCLUSION

This nationwide community-based study shows that depressive symptoms are associated with lower HbA1C, reminding us that more attention should be paid to the presence of depressive symptoms in those with lower HbA1C. Further research is needed to clarify the causal relationship.

Dietary inflammatory patterns are associated with serum triglycerides and insulin in adults: A community-based study in Taiwan

BACKGROUND

Dietary patterns related to inflammation have become a focus of disease prevention but the patterns may vary among populations.

OBJECTIVE

The study was conducted to determine Taiwanese dietary inflammatory patterns and evaluate their associations with biomarkers of lipid and glucose METHODS: Data were taken from 5,664 community-dwelling individuals aged ≥55 years old recruited in 2009 - 2013 in the Healthy Aging Longitudinal Study in Taiwan (HALST). Dietary data were obtained from a food frequency questionnaire. An empirical dietary inflammatory pattern (EDIP) was derived from reduced rank regression models that explained the serum hsCRP, plasma IL-6, and TNFR1. Cross-sectional associations between dietary scores and biomarkers of total cholesterol (TC); high-density lipoprotein cholesterol (HDLC); low-density lipoprotein cholesterol, triglyceride (TG); and ratios of TG/HDLC, TG/TC, fasting glucose, insulin, and HbA1c were analyzed via multiple linear regression and adjusted for major confounders. The false discovery rate (FDR)-adjusted p <0.05 was considered statistically significant. Abdominal obesity was defined as a waist circumference of ≥90 cm for men and ≥80 cm for women.

RESULTS

Higher EDIP-HALST scores were associated with higher TG (per score increment: 1.62%, 95% CI: 0.58-2.76%; p_FDR=0.01), TG/HDLC (2.01%, 0.67-3.37%; p_FDR=0.01), and TG/TC (1.42%, 0.41-2.43%; p_FDR=0.01) and nonlinearly associated with insulin, with those in the middle tertile had the highest serum insulin concentrations (means: 5.12 μIU/mL, 4.78-5.78; p_FDR =0.04) in men, but not in women. No heterogeneity was detected between sexes. The associations with TG (1.23%, 0.19-2.23%; p_trend=0.02), TG/HDLC (1.62%, 0.30-2.96%; p_trend=0.02), and TG/TC (1.11%, 0.11-2.13%; p_trend=0.03) were stronger in participants with abdominal obesity, but were borderline associated in participants with normal abdominal circumferences (all p_trend=0.05).

CONCLUSIONS

Inflammatory diets, as measured via EDIP-HALST, were associated with serum TG concentration, particularly in participants with abdominal obesity. These findings may suggest that developing disease prevention strategies using dietary inflammatory patterns may be different by populations.

Using Machine Learning for the Risk Factors Classification of Glycemic Control in Type 2 Diabetes Mellitus

Several risk factors are related to glycemic control in patients with type 2 diabetes mellitus (T2DM), including demographics, medical conditions, negative emotions, lipid profiles, and heart rate variability (HRV; to present cardiac autonomic activity). The interactions between these risk factors remain unclear. This study aimed to use machine learning methods of artificial intelligence to explore the relationships between various risk factors and glycemic control in T2DM patients. The study utilized a database from Lin et al. (2022) that included 647 T2DM patients. Regression tree analysis was conducted to identify the interactions among risk factors that contribute to glycated hemoglobin (HbA1c) values, and various machine learning methods were compared for their accuracy in classifying T2DM patients. The results of the regression tree analysis revealed that high depression scores may be a risk factor in one subgroup but not in others. When comparing different machine learning classification methods, the random forest algorithm emerged as the best-performing method with a small set of features. Specifically, the random forest algorithm achieved 84% accuracy, 95% area under the curve (AUC), 77% sensitivity, and 91% specificity. Using machine learning methods can provide significant value in accurately classifying patients with T2DM when considering depression as a risk factor.

HbA1c and physical performance in older adults from different aging epidemiological contexts: Longitudinal findings of the International Mobility in Aging Study (IMIAS)

OBJECTIVE

This study aimed to assess the longitudinal predictions between glycated hemoglobin A1c (HbA1c) and physical performance scores in different epidemiological contexts of aging.

MATERIAL AND METHODS

Longitudinal data of 1,337 older people from three countries (Canada, Brazil and Colombia) of the International Mobility in Aging Study (IMIAS) were used to assess the relationship between HbA1c and Short Physical Performance Battery (SPPB) scores between 2012 and 2016. Linear Mixed Models grouped by sex and adjusted by Age, Study site, Chronic Conditions, Anthropometric Measures, and Inflammatory Level were used to estimate the influence of HbA1c and covariates on SPPB scores.

RESULTS

At the IMIAS baseline, Latin American (LA) cities had higher HbA1c averages compared to Canadian cities, with Natal (Brazil) being the city with the highest HbA1c averages in men and women (6.32 ± 1.49; 6,56 ± 1.70 respectively). SPPB scores were significantly lower in LA cities, and older people in Natal had lower SPPB averages in men (9.67 ± 2.38; p-value < 0.05) and women (8.52 ± 2.33; p-value <0.05). In the multivariate mixed linear models of longitudinal analyses, HbA1c was significantly associated with lower SPPB scores in men (β = -0.25, 95% CI: -0.39 to -0.12, p-value = 0.02) but not in women.

CONCLUSION

High HbA1c levels at baseline were longitudinally associated in older adults from different countries, and this association was observed only in men and not in women. This study highlights a possible influence of gender on this relationship.

Baseline predictors of progression of Parkinson's disease in a sample of Egyptian patients: clinical and biochemical

Background

Clinical progression of Parkinson’s disease (PD) is highly heterogeneous, and its predictors are generally lacking. Identifying predictors of early disease progression is important for patients’ management and follow-up. The current study aims to identify clinical, neuroimaging and biochemical baseline predictors of motor progression in patients with PD. Forty-five PD patients were assessed at baseline, 6 months and 1 year using MDS-UPDRS total and subscores, Hoehn and Yahr (H&Y), Schwab and England (S&E), International Physical Activity Questionnaire (IPAQ). Baseline New Freezing of Gait Questionnaire (NFOG-Q), Berg Balance Scale (BBS), Ten-Meter Walking Test (10-MWT), and Time Up and Go Test (TUG), Non-Motor Symptoms Scale (NMSS), Beck Depression Inventory (BDI), PD questionnaire 39 (PDQ-39), MRI brain, uric acid, lipid profile and glycated hemoglobin were performed.

Results

Significant worsening of MDS-UPDRS total, part III scores, H&Y, S&E and IPAQ (p < 0.001) was detected. One-year progression of H&Y and S&E were significantly correlated to disease duration (p = 0.014, p = 0.025, respectively). Progression of H&Y was correlated to baseline TUG (p = 0.035). S&E progression was correlated to baseline MDS-UPDRS total score (rho = 0.478, p = 0.001) and part III (rho = 0.350, p = 0.020), H&Y (rho = 0.401, p = 0.007), PIGD (rho = 0.591, p < 0.001), NFOG-Q (rho = 0.498, p = 0.001), and TUG (rho = 0.565, p = 0.001). Using linear regression, there was no predictors of clinical progression among the used baseline variables.

Conclusion

Despite the significant motor and physical activity progression over 1 year that was correlated to baseline motor and gait severity, but without predictive value, further similar and longitudinal studies are warranted to detect predictors of early progression and confirm findings.

Supplementary Information

The online version contains supplementary material available at 10.1186/s41983-022-00445-1.

Association Between Long-Term HbA1c Variability and Functional Limitation in Individuals Aged Over 50 Years: A Retrospective Cohort Study

BACKGROUND

As mean HbA1c provides incomplete information regarding glycemic variability, there has been considerable interest in the emerging association between glycemic variability and macrovascular events and with microvascular complications and mortality in adults with and without diabetes. However, the association between long-term glycemic variability, represented by visit-to-visit HbA1c variability, and functional limitations has not been clarified in previous literature. The present study aimed to explore the longitudinal association between long-term glycemic variability, represented by visit-to-visit HbA1c variability and functional limitations.

METHODS

This cohort study included adults aged over 50 years who participated in the 2006 to 2016 waves of the Health and Retirement Study. Physical functions, including mobility, large muscle function, activities of daily living (ADLs), and instrumental ADLs (IADLs), were assessed at baseline and every 2 years, and HbA1c levels were assessed at baseline and every 4 years. Visit-to-visit HbA1c variability was calculated using the HbA1c variability score (HVS) during the follow-up period. Generalized estimating equation models were used to evaluate the longitudinal association between HbA1c variability and functional limitations with adjustment for a series of confounders.

RESULTS

A total of 5,544 participants having three HbA1c measurements from 2006 to 2016, having two or more physical function measures (including one at baseline), and age over 50 years were included in this analysis. The mean age at baseline was 66.13 ± 8.39 years. A total of 916 (16.5%) participants had an HVS = 100, and 35.1% had an HVS = 50. The highest HVS category (HVS =100) was associated with increased functional status score (β = 0.093, 95% CI: 0.021-0.165) in comparison with the lowest HVS category (HVS = 0). Sensitivity analyses using the CV and SD of HbA1c as measures of variability showed similar associations between HbA1c variability and functional limitation. An incremental increase in HbA1c-CV (β = 0.630, 95% CI: 0.127-1.132) or HbA1c-SD (β = 0.078, 95% CI: 0.006-0.150) was associated with an increase in functional limitation in the fully adjusted model.

CONCLUSIONS

HbA1c variability was associated with heightened difficulty in performing functional activities over time after adjusting for mean HbA1c levels and multiple demographics and comorbidities. This study provides further evidence regarding the detrimental effect of HbA1c variability and highlights the significance of steady glycemic control.

Euglycemia Indicates Favorable Motor Outcome in Parkinson's Disease

BACKGROUND

The interplay between glycemic control and Parkinson's disease (PD) has long been recognized but not fully understood.

OBJECTIVES

To investigate the association of glycated hemoglobin (HbA1c) levels with motor and cognitive symptom progression in a prospective PD cohort.

METHODS

Of 244 PD patients, 17 had low HbA1c (≤30 mmol/mol), 184 were euglycemic (HbA1c 31-41 mmol/mol), 18 had high HbA1c (HbA1 ≥42 mmol/mol), and 25 had diabetes mellitus (DM). Survival analysis was applied on time until Hoehn and Yahr stage ≥3 (motor outcome) and until mild cognitive impairment.

RESULTS

Low HbA1c (HR 2.7; 95% CI 1.3-6; P = 0.01) as well as high HbA1c (HR 3.6; 95% CI 1.5-8.9; P = 0.005) but not DM were independent predictors of unfavorable motor outcome.

CONCLUSIONS

Both high and low HbA1c levels may be associated with motor symptom progression in PD; however, further studies are needed to confirm these findings and increase understanding regarding causality. © 2021 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.