The joint association of self-rated health and diabetes status on 14-year mortality in elderly men and women

Self-rated health, epigenetic ageing, and long-term mortality in older Australians

Self-rated health (SRH) is a subjective indicator of overall health based on a single questionnaire item. Previous evidence found that it is a strong predictor of mortality, although the underlying mechanism is poorly understood. Epigenetic age is an objective, emerging biomarker of health, estimated using DNA methylation data at hundreds of sites across the genome. This study aimed to assess the overlap and interaction between SRH and epigenetic ageing in predicting mortality risk. We used DNA methylation data from 1059 participants in the Melbourne Collaborative Cohort Study (mean age: 69 years) to calculate three age-adjusted measures of epigenetic ageing: GrimAge, PhenoAge, and DunedinPACE. SRH was assessed using a five-category questionnaire item ("excellent, very good, good, fair, poor"). Cox models were used to assess the associations of SRH, epigenetic ageing, and their interaction, with all-cause mortality over up to 17 years of follow-up (Ndeaths = 345). The association of SRH with mortality per category increase was HR = 1.29; 95%CI: 1.14-1.46. The association was slightly attenuated after adjusting for all three epigenetic ageing measures (HR = 1.25, 95%CI: 1.10-1.41). A strong gradient was observed in the association of GrimAge (Pinteraction = 0.006) and DunedinPACE (Pinteraction = 0.002) with mortality across worsening SRH strata. For example, the association between DunedinPACE and mortality in participants with "excellent" SRH was HR = 1.02, 95%CI: 0.73-1.43 and for "fair/poor" HR = 1.72, 95%CI: 1.35-2.20. SRH and epigenetic ageing were synergistic risk factors of mortality in our study. These findings suggest that consideration of subjective and objective factors may improve general health assessment, which has implications for the ongoing development of molecular markers of ageing.

Cluster analysis for the overall health status of elderly, multimorbid patients with diabetes

Purpose

To evaluate the overall health status and health-related abilities and problems of elderly patients with diabetes and multimorbidity compared with those with diabetes only. Additionally, we aimed to identify different subgroups of elderly, multimorbid patients with diabetes.

Methods

This cross-sectional study included 538 elderly patients with diabetes. The participants completed a series of questionnaires on self-rated health (SRH), diabetes self-management, self-efficacy, health literacy, depression, and diabetes distress. Differences in health-related abilities and problems were compared between elderly patients with diabetes and multimorbidity and those with diabetes only, with adjustments for covariates using propensity score matching. A cluster analysis was also performed to identify the overall health status subgroups of elderly, multimorbid patients with diabetes. Additionally, we conducted a multinomial logistic regression analysis to examine the predictors of health-related abilities and problem-cluster group membership.

Results

Elderly patients with diabetes and multimorbidity experienced more health-related abilities and problems than those with diabetes only, particularly within the domains of depression (p < 0.001), and diabetes distress. The level of health literacy (p < 0.001) and self-management (p = 0.013) in elderly, multimorbid patients with diabetes was also significantly higher than that in elderly patients with diabetes only. Cluster analysis of elderly, multimorbid patients with diabetes revealed three distinct overall health status clusters. Multinomial logistic regression analysis indicated that age (OR = 1.090, p = 0.043), sex (OR = 0.503, p = 0.024), living situation (OR = 2.769, p = 0.011), BMI (OR = 0.838, p = 0.034), regular exercise (OR = 2.912, p = 0.041 in poor vs. good; OR = 3.510, p < 0.001 in intermediate vs. good), and cerebral infarction (OR = 26.280, p < 0.001) independently and significantly predicted cluster membership.

Conclusion

Compared with elderly patients with diabetes only, those with diabetes and multimorbidity experienced more health-related abilities and problems within the domains of depression, and diabetes distress. Additionally, the level of health literacy and self-management in elderly, multimorbid patients with diabetes was significantly higher than that in those with diabetes only. Among the multimorbid diabetes group, old age, male sex, living without a partner, slightly lower BMIs, not exercising regularly, and experiencing cerebral infarctions were all positively correlated with worse overall health status.

The insulin sensitivity Mcauley index (MCAi) is associated with 40-year cancer mortality in a cohort of men and women free of diabetes at baseline

Background

The association between insulin resistance and cancer-mortality is not fully explored. We investigated the association between several insulin sensitivity indices (ISIs) and cancer-mortality over 3.5 decades in a cohort of adult men and women. We hypothesized that higher insulin resistance will be associated with greater cancer-mortality risk.

Methods

A cohort of 1,612 men and women free of diabetes during baseline were followed since 1979 through 2016 according to level of insulin resistance (IR) for cause specific mortality, as part of the Israel study on Glucose Intolerance, Obesity and Hypertension (GOH). IR was defined according to the Mcauley index (MCAi), calculated by fasting insulin and triglycerides, the Homeostatic Model Assessment (HOMA), the Matsuda Insulin Sensitivity Index (MISI), and the Quantitative Insulin Sensitivity Check Index (QUICKI), calculated by plasma glucose and insulin.

Results

Mean age at baseline was 51.5 ± 8.0 years, 804 (49.9%) were males and 871 (54.0%) had prediabetes. Mean follow-up was 36.7±0.2 years and 47,191 person years were accrued. Cox proportional hazard model and competing risks analysis adjusted for age, sex, country of origin, BMI, blood pressure, total cholesterol, smoking and glycemic status, revealed an increased risk for cancer-mortality, HR = 1.5 (95% CI: 1.1–2.0, p = 0.005) for the MCAi Q₁ compared with Q_2-4. No statistically significant associations were observed between the other ISIs and cancer-mortality.

Conclusion

The MCAi was independently associated with an increased risk for cancer-mortality in adult men and women free of diabetes and should be further studied as an early biomarker for cancer risk.

The association between insulin sensitivity indices, ECG findings and mortality: a 40-year cohort study

Background

Type 2 Diabetes is a major risk factor for cardiovascular (CV) mortality. Insulin resistance can be evaluated non-invasively by insulin sensitivity indices (ISI) such as the Mcauley index (MCAi), which is a function of the fasting insulin and triglycerides. Currently, the association between ISIs and ECG findings and all-cause and CV mortality is still not established in a large scale and heterogeneous population.

Method

In a prospective study of the Israel cohort on Glucose Intolerance, Obesity and Hypertension (GOH) second phase (1979–1982) 1830 men and women were followed until December-2016 for CV-mortality and December-2019 for all-cause mortality. ECGs were recorded and OGTTs performed during baseline. ISIs were categorized into quartiles and evaluated against ECG findings and all-cause and CV-mortality.

Results

Mean age at baseline was 52.0 ± 8.1 years, and 75 (15.2%) and 47 (25.3%) participants in the upper quartiles (Q_2-4) and the lower quartile (Q₁) of the MCAi, presented with Ischemic changes on ECG respectively (p = 0.02). Multivariable analysis showed higher odds for ECG ischemic changes, for individuals in Q₁-MCAi (adjusted-OR = 1.7, 95% CI 1.02–2.8), compared with Q_2-4-MCAi, which attenuated when excluding individuals with diabetes (adjusted-OR = 1.6, 95% CI 0.9–2.7, p = 0.09).

Median follow up for all-cause and for cardiovascular mortality was 31 years and 37 years, respectively. Cox proportional-hazards regression showed an increased risk for all-cause mortality for individuals in Q₁-MCAi (HR = 1.2, 95% CI 1.02–1.3) as well as an increased risk for CV-mortality (HR = 1.4, 95%CI 1.1–1.8) compared with Q_2-4-MCAi. Individuals in Q₄-Ln Homeostatic model assessment- Insulin Resistance (HOMA-IR) and Q₁- Quantitative Insulin Sensitivity Check Index (QUICKI) also presented with increased risk for all-cause-mortality (HR = 1.2, 95%CI 1.04–1.4; and HR = 1.2, 95% CI 1.04–1.4, respectively). Other ISIs did not show significant associations with CV-mortality.

Conclusion

Higher insulin-resistance, according to the MCAi, associated with ECG-changes, and with greater risk for all-cause and CV-mortality over a 40-year follow-up. The MCAi may be considered as an early predictive and prognostic biomarker for CV-morbidity and mortality in adults.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12933-021-01284-9.

Predictive Validity of Each Item of the 8-Item Short-Form Health Survey for All-Cause Mortality in Japanese patients with type 2 diabetes: A prospective Cohort Study (Diabetes Distress and Care Registry at Tenri [DDCRT 19])

AIMS

While health-related quality of life (HRQOL) is reported to be associated with mortality, this assessment was made using surveys with a large number of questions, not specifically focused on populations with diabetes, or in western countries alone. We thus evaluated the predictive validity of summary scores, and each item score of the 8-Item Short-Form Health Survey in Japanese individuals with type-2 diabetes.

MATERIALS AND METHODS

Longitudinal data from 3269 individuals with diabetes were obtained from a large Japanese diabetes registry. To assess the independent correlation between the 10-point scores of the SF-8 physical component summary (PCS) and mental component summary (MCS), each item score, and all-cause mortality, the Cox proportional hazards model was used with adjustment for potential confounders.

RESULTS

Mean cohort parameters included age (64.9 years [SD 11.2]), body mass index (24.6 kg/m² [SD, 3.9]), and HbA1c level (7.5% [SD, 1.2]; or 58.6 mmol/mol [SD, 12.7]). We recorded 248 deaths during the median follow-up of 7.2 years (incidence ratio, 12.2 per 1000 person-years). Multivariable-adjusted HRs for all-cause mortality were 0.780 (95%CI, 0.674-0.902; p=0.001) and 0.776 (95%CI, 0.656-0.917; p=0.003), respectively, for 10-point increment of PCS and MCS scores. Higher score of any single item of SF-8 was associated with lower risk of all-cause mortality even after adjusting for possible confounders.

CONCLUSIONS

As assessed by the SF-8, higher PCS, MCS, and any single 1-item scores were associated with lower risk of all-cause mortality in Japanese individuals with type 2 diabetes.

Self-rated health in mothers of children hospitalised for severe illnesses and mothers of healthy children: cross-sectional study

INTRODUCTION

Self-rated health (SRH) is a recognised tool for predicting morbidity and mortality.

AIM

The aim of the study was to investigate and compare SRH in a group of mothers of hospitalised children and mothers of healthy children and to indicate the variables associated with poor SRH in both groups.

METHODS

We conducted questionnaire-based cross-sectional research in a group of 184 women. Half of the respondents (n = 92) were the mothers of children hospitalised for a severe illnesses (Group H). The control group (n = 92) comprised mothers of healthy children (Group C). Self-Rated Health (SRH), Numerical Rating Scale (NRS), Hospital Anxiety and Depression Scale (HADS), Impact of Event Scale-Revised (IES-R) and Interpersonal Support Evaluation List (ISEL-40 v. GP) were used. In order to facilitate critical appraisal and interpretation of results, STROBE recommendations were used.

RESULTS

The prevalence of poor SRH was greater in mothers of children hospitalised for a severe illness than in those of healthy children (35 and 19%, respectively). In both groups, the risk of poor SRH was statistically significantly higher in those mothers who for the past 7 days reported at least moderate pain and in mothers who manifested anxiety symptoms. In both groups, the prevalence of poor SRH was statistically significantly lower if the respondents' children were in good health. The risk of poor SRH was associated with poor financial status in group H and with depression and at least moderate pain for the past 7 days in group C.

RELEVANCE TO CLINICAL PRACTICE

In order to provide mothers of severely ill children with high-quality health care including preventive measures, it is recommended that their health is assessed by healthcare professionals.

ApoE Genotype, Lipid Profile, Exercise, and the Associations With Cardiovascular Morbidity and 18-Year Mortality

Background

Studies of longevity examined apolipoprotein E (ApoE), a gene involved in lipoprotein metabolism, which interacts with susceptibility to age-related diseases, and with mortality. We evaluated the association of ApoE isoforms with cardiovascular disease (CVD) and all-cause mortality.

Methods

A prospective cohort of 949 survivors of the Israel Study of Glucose Intolerance, Obesity, and Hypertension, examined during 1999–2004, mean age 72 years, was followed for mortality until 2017. Participants were interviewed for lifestyle habits and medical history. Anthropometrics and biochemical markers were taken. Logistic regression was used to assess CVD morbidity and Cox proportional hazard model for mortality.

Results

The most common genotype in the cohort was ApoE E3 (76.3%), with the other two almost equally distributed (ApoE E2 11.2% and ApoE E4 12.5%). In men only, ApoE E4 associated with CVD (adjusted odds ratio = 1.46, 95% confidence interval [CI] 0.76, 2.80) and with 18-year mortality (adjusted hazard ratio = 1.47, 95% CI 0.95, 2.26), adjusting for age, ethnicity, physical activity, hypertension, diabetes, low-density lipoprotein (LDL)-cholesterol, high-density lipoprotein (HDL)-cholesterol, triglycerides and lipid-lowering medications. Low levels of HDL cholesterol, adjusted for ApoE and the above-mentioned variables, associated with higher prevalence of CVD (adjusted odds ratio = 1.35, 95% CI 1.00, 1.83) and all-cause mortality (adjusted hazard ratio = 1.42, 95% CI 1.14, 1.78). ApoE E3 and E2 conferred a lower 18-year mortality risk in the physically active individuals, compared to the sedentary (adjusted hazard ratio = 0.57, 95% CI 0.44, 0.74, and adjusted hazard ratio = 0.53, 95% CI 0.78, 1.02, respectively).

Conclusions

In community-dwelling older adults, sociodemographic characteristics and physical activity, blood pressure and HDL-cholesterol levels, may outweigh the impact of ApoE polymorphisms on CVD morbidity and all-cause mortality.

The development and validation of the AMPREDICT model for predicting mobility outcome after dysvascular lower extremity amputation

OBJECTIVE

The objective of this study was the development of AMPREDICT-Mobility, a tool to predict the probability of independence in either basic or advanced (iBASIC or iADVANCED) mobility 1 year after dysvascular major lower extremity amputation.

METHODS

Two prospective cohort studies during consecutive 4-year periods (2005-2009 and 2010-2014) were conducted at seven medical centers. Multiple demographic and biopsychosocial predictors were collected in the periamputation period among individuals undergoing their first major amputation because of complications of peripheral arterial disease or diabetes. The primary outcomes were iBASIC and iADVANCED mobility, as measured by the Locomotor Capabilities Index. Combined data from both studies were used for model development and internal validation. Backwards stepwise logistic regression was used to develop the final prediction models. The discrimination and calibration of each model were assessed. Internal validity of each model was assessed with bootstrap sampling.

RESULTS

Twelve-month follow-up was reached by 157 of 200 (79%) participants. Among these, 54 (34%) did not achieve iBASIC mobility, 103 (66%) achieved at least iBASIC mobility, and 51 (32%) also achieved iADVANCED mobility. Predictive factors associated with reduced odds of achieving iBASIC mobility were increasing age, chronic obstructive pulmonary disease, dialysis, diabetes, prior history of treatment for depression or anxiety, and very poor to fair self-rated health. Those who were white, were married, and had at least a high-school degree had a higher probability of achieving iBASIC mobility. The odds of achieving iBASIC mobility increased with increasing body mass index up to 30 kg/m² and decreased with increasing body mass index thereafter. The prediction model of iADVANCED mobility included the same predictors with the exception of diabetes, chronic obstructive pulmonary disease, and education level. Both models showed strong discrimination with C statistics of 0.85 and 0.82, respectively. The mean difference in predicted probabilities for those who did and did not achieve iBASIC and iADVANCED mobility was 33% and 29%, respectively. Tests for calibration and observed vs predicted plots suggested good fit for both models; however, the precision of the estimates of the predicted probabilities was modest. Internal validation through bootstrapping demonstrated some overoptimism of the original model development, with the optimism-adjusted C statistic for iBASIC and iADVANCED mobility being 0.74 and 0.71, respectively, and the discrimination slope 19% and 16%, respectively.

CONCLUSIONS

AMPREDICT-Mobility is a user-friendly prediction tool that can inform the patient undergoing a dysvascular amputation and the patient's provider about the probability of independence in either basic or advanced mobility at each major lower extremity amputation level.