Longitudinal change in health-related quality of life in people with prevalent and incident type 2 diabetes compared to diabetes-free controls

General and Specific Quality of Life Course of Individuals with Different Levels of Stroke Severity: A One-Year Prospective Longitudinal Study

OBJECTIVES

To compare the course of generic and specific health-related quality of life (HRQOL) of individuals with stroke, and its physical, mental, and social domains, at three, six, and 12 months after hospital discharge, considering the levels of stroke severity.

METHODS

This is a longitudinal study, in stroke individuals, assessed during hospital admission by the National Institutes of Health Stroke Scale (NIHSS), and divided into mild (NIHSS ≤3) or moderate/severe (NIHSS ≥4) disease. At three, six, and 12 months after hospital discharge, the individuals were assessed for generic (Short Form Health Survey-36: total score and physical and mental domains) and specific (Stroke Specific Quality of Life Scale: total score and social domain) HRQOL. A 2 × 2 repeated measures analysis of variance (ANOVA) with post-hoc was applied.

RESULTS

146, 122, and 103 individuals were assessed at three, six and 12 months, respectively HRQOL courses showed different behaviors according to stroke severity (3.37≤F ≤ 4.62; 0.010≤p ≤ .036). Individuals with mild stroke showed significant changes in the physical domain, with a reduction between three and six months, and an increase between six and 12. Moderate/severe individuals showed a significant increase in all HRQOL variables between three and six months, and a maintenance of values for almost all variables, except for physical domain, which improved significantly between three and six months, and got significantly worse between six and 12.

CONCLUSIONS

HRQOL during the first year after stroke showed distinct trajectories, being stroke severity an important factor in identifying stroke subjects at risk of HRQOL decline.

CLINICAL IMPLICATIONS

These results demonstrate the importance of considering not only the phase of the stroke, the severity, and the general and specific HRQOL, but also the physical, social, and mainly the mental domain, which has long been neglected, when assessing this population.

Wellbeing, quality of life and satisfaction of patients with hard-to-heal wounds: a descriptive study

OBJECTIVE

A hard-to-heal wound is defined as a wound that failed to proceed through the normal phases of wound healing in an orderly and timely manner. The purpose of this article is to describe the impact of hard-to-heal wounds on the wellbeing, quality of life (QoL) and satisfaction with QoL of patients in Oman with hard-to-heal wounds.

METHOD

A descriptive cross-sectional study of patients with hard-to-heal wounds attending three tertiary care hospitals using a self-reported questionnaire was conducted.

RESULTS

A total of 275 patients took part in the study. Patients reported a low wellbeing score (67.06±19.72), moderate QoL score (52.18±25.07) and moderate satisfaction scores (68.91±23.88). Significant mean differences were reported with age, sex, educational level, monthly income and type of wound all at p<0.05.

CONCLUSION

The findings of this study demonstrated that hard-to-heal wounds could influence the wellbeing, QoL and overall satisfaction with QoL of patients.

DECLARATION OF INTEREST

Funding was received through an internal grant of the Sultan Qaboos University to conduct the research conducting the research (IG/CON/FACN/20/01). The authors have no conflicts of interest to declare.

The impact of a diabetes diagnosis on health and well-being: Findings from the English Longitudinal Study of Ageing

BACKGROUND

Poorer health and well-being are associated with diabetes risk. However, little is known about the trajectory of health and well-being from before to after diabetes diagnosis. We compared depressive symptoms, quality of life, self-rated health, and loneliness at three time points (prediagnosis, diagnosis, 2-4 years post diagnosis) in individuals who developed diabetes and a comparison group.

METHODS

Health and well-being measures were self-reported by 3474 participants from the English Longitudinal Study of Ageing. Repeated measures analysis of variance and generalized estimating equations were used to investigate differences by group, time, and group-by-time interactions.

RESULTS

A total of 473 (13.6%) participants developed diabetes. The diabetes group reported greater depressive symptoms (W2(1) = 20.67, p < .001) and lower quality of life (F = 1, 2535 = 10.30, p = .001) and were more likely to rate their health as fair/poor (W2(1) = 67.11, p < .001) across time points, adjusting for age, sex, and wealth. They also reported greater loneliness (F = 1, 2693 = 9.70, p = .002) in unadjusted analyses. However, this was attenuated to the null in adjusted analyses. The group-by-time interaction was significant for quality of life (F = 1.97, 5003.58 = 5.60, p = .004) and self-rated health (W2(2) = 11.69, p = .003), with a greater decline in these measures over time in the diabetes group in adjusted analyses.

CONCLUSION

People who received a diabetes diagnosis had greater depressive symptoms, lower quality of life, and poorer self-rated health than those who did not develop diabetes. Quality of life and self-rated health deteriorated more rapidly following a diagnosis. Screening for these factors around the time of diagnosis could allow for interventions to improve the health and well-being of those with diabetes.

The relationship between diabetes burden and health-related quality of life in elderly people with diabetes

BACKGROUND

One of the most common chronic diseases in the elderly is diabetes. When diabetes is not well controlled, it can cause complications and affect health-related quality of life. Determining the burden of diabetes in elderly patients can provide a good health-related quality of life.

AIM

The study was conducted to examine the relationship between diabetes burden and health-related quality of life in elderly patients with diabetes.

METHODS

This is a descriptive and correlational study of 207 patients who applied to the diabetes outpatient clinics of a private and a public hospital in Istanbul. Respondents were completed with "Personal Information Form for Elderly People", "Elderly Diabetes Burden Scale" and the "Quality of Life in the Elderly Scale". Data were analyzed by SPSS. The tests used are Kolmogorov-Smirnov, Mann-Whitney U, Kruskal Wallis and Spearman Correlation tests.

RESULTS

The mean total score from the Elderly Diabetes Burden Scale was 47.13 ± 11.95 (18-88), and the mean score from the Quality of Life in the Elderly Scale was 19.36 ± 7.00. In the study, as the total diabetes burden score of the elderly patients increased, the Quality of Life in the Elderly Scale score decreased. There was a difference between the mean total score of the Elderly Diabetes Burden Scale and gender, education, living alone and using oral antidiabetic (p < 0.05).

CONCLUSIONS

As a result it was determined, a negative correlation was found between the diabetes CASP-19 scale total score and the total EDBS. Determining the burden of diabetes and affecting factors in elderly is important in terms of increasing the health-related quality of life. It may be recommended to plan diabetes education programs that will reduce the burden of diabetes and increase the health-related quality of life in elderly patients.

Longitudinal assessment of the quality of life and patterns of antidiabetic medication use in patients with type 2 diabetes, Saudi Arabia perspective, DISCOVER study

OBJECTIVES

Patients with type 2 diabetes nowadays have a wide range of new antidiabetic medications with better efficacy and safety. Physicians' attitude toward selecting antidiabetic medications to reach targeted glycemic control and better quality of life (QOL) has not been studied prospectively. The global DISCOVER study aims to comprehensively provide a real-world assessment of the treatment pattern changes for patients with type 2 diabetes, in addition to QOL assessment. The Kingdom of Saudi Arabia was one of the countries participating in the DISCOVER study program.

METHODS

This study is a part of the prospective, longitudinal multinational DISCOVER study conducted in 38 countries including Saudi Arabia, a country facing an epidemic of type 2 diabetes, recruited 519 adult patients with type 2 diabetes with a mean age of 52.4 ± 11 years, where, they were followed up for three years period, where 477 patients completed the follow-up period. The clinical, biochemical, and patient lifestyle data were assessed periodically during the study period. DISCOVER study is registered with ClinicalTrials.gov identifiers: NCT02322762.

RESULTS

The most frequently used antidiabetic medications (ADMs) initially and during the follow-up were biguanides (metformin) and sulfonylureas (gliclazide, glibenclamide, glimepiride, glipizide, and glyclopyramide). Insulin (premix Insulin, basal insulin, and basal/bolus insulin) and dipeptidyl peptidase-4 (DPP-4) inhibitors (sitagliptin, vildagliptin, saxagliptin, and linagliptin) were the most frequent second and alternative of therapy. Other medications namely thiazolidinediones (TZds) (pioglitazone and rosiglitazone), incretins (exenatide and liraglutide), and Sodium-glucose co-transporter-2 (SGLT-2) inhibitors (canagliflozin) were used at a lesser rate. Drug availability, efficacy, and safety were the main determinants for choosing antidiabetic medications. The physical component score of the QOL had shown a significant decrease, while the mental component score has demonstrated an increase in QOL using SF36v2 Survey.

CONCLUSIONS

There is an increasing trend of using of newly available ADMs, mainly DPP-4 inhibitors. The major limitation of ADMs use is related to efficacy, availability, and safety. This warrant taking all the measures to overcome these limitations through adopting a multidisciplinary team approach for close monitoring of the patients and any unfavorable side effects. Additionally, global insurance coverage for all patients with type 2 diabetes could be a solution for the drug availability factor.

Diabetes and physical activity: A prospective cohort study

Diabetes is on the rise as the worldwide population ages. While physical activity can help protect against diabetes, ageing is commonly associated with reduced physical activity. This study aimed to examine if physical activity differs by diabetes status in mid-aged adults, how this association changes over time, and whether physical activity-related sociodemographic factors and health indicators differ in those with and without diabetes. Data came from four waves of the How Areas in Brisbane Influence HealTh and AcTivity (HABITAT), a longitudinal study of mid-age adults living in Brisbane, Australia. Random effects/Expectation-maximisation (RE-EM) regression trees were used to identify factors affecting physical activity among those with and without diabetes, both separately and combined. At study entry, those with diabetes had a higher median age of 58 years (95% CI: 57-60) and a lower median physical activity of 699 MET.min/week (95% CI: 599-799) than people without diabetes (53 years (95% CI: 53-53) and 849 MET.min/week (95% CI: 799-899)). However, the strongest factors influencing physical activity were BMI and gender, not diabetes status. It is vital to promote physical activity among adults, in particular among those with high BMI and women, as well as those with and at high risk of diseases like diabetes.

A case-control study of pattern and determinants of quality of life of patients with diabetes in a developing country

Background

Globally, diabetes is a leading cause of impairment of quality of life. In the sub-Saharan African region, there is a need for studies that provide more valid assessment of effect of diabetes on quality of life (QoL). This study aimed at assessing quality of life among patients with diabetes attending a tertiary health service in Nigeria.

Methods

The study design was a case-control. Diabetic cases were randomly recruited from the University of Calabar Teaching Hospital, while non-diabetic controls were civil servants and retirees. The validated and pretested WHOQoL-BREF instrument was used to assess quality of life, with higher scores indicating higher quality of life.

Results

Three hundred and thirty subjects were studied, with mean ages of males and females of 55.2 ± 4.8 and 51.8 ± 6.3 years, respectively. The mean total QoL score was 75.77 ± 11.2, with no significant difference between males and females. Among male and female cases, the mean score of the physical health domain was significantly lower for cases compared with controls (p = 0.05). Male cases compared with controls had higher scores for the environment domain (p < 0.05). Older age and higher systemic blood pressure were associated with lower QoL scores for both sexes (p < 0.05). Unmarried status, obesity, and poor glycemic control (HbA1c > 7%) were associated with lower QoL scores (p < 0.05). Fasting blood sugar (FBS) level and lipid profile were not significantly correlated with QoL score in both sexes (p > 0.05).

Conclusion

Diabetes contributes to low quality of life among males and females, with significant differences in the affected domains. Diabetes care providers should identify affected domains during clinic consultation, in order to improve provision of more effective care.

Longitudinal assessment of the health-related quality of life among older people with diabetes: results of a nationwide study in New Zealand

BACKGROUND

The current work examined experiences of Health-Related Quality of Life (HRQOL) among older adults with a diagnosis of Diabetes Mellitus (DM) over time compared to those without a diagnoses DM.

METHODS

The sample was drawn from six biennial waves of the New Zealand Health, Work and Retirement survey, a prospective population-based cohort study of older adults 55-70 years at baseline. Data on sociodemographic factors, health behaviours, chronic disease diagnoses and physical and mental HRQOL (SF-12v2) were obtained using six biennial surveys administered 2006-2016. Generalised Estimating Equation models, adjusted for time-constant and -varying factors, were employed to compare HRQOL and its determinants over time for older adults with and without a diagnosis of DM.

RESULTS

DM was negatively associated with physical HRQOL [β (95% CI) - 7.43 (- 8.41, - 6.44)] with older adults affected by DM reporting scores 7.4 points lower than those without DM. Similarly, the mean Mental HRQOL score was lower among those affected by DM [β = - 4.97 (- 5.93, - 4.01)] however, scores increased over time for both groups (p < 0.001). Greater age, more chronic conditions, sight and sleep problems, obesity, lower annual income, and fewer years of education were predictors of poorer HRQOL among older adults.

CONCLUSIONS

Older adults affected by diabetes experienced poorer physical and mental HRQOL compared to those not affected when controlling for a range of sociodemographic and health related indices. A management aim must be to minimise the gap between two groups, particularly as people age.

Diabetes in women and health-related quality of life in the whole family: a structural equation modeling

Background

Although several studies indicate the effects of diabetes type 2 on health-related quality of life (HRQoL) in female subjects, the related impact of the disease on HRQoL in their family members has rarely been the focus of the empirical research. In this study we aim to investigate associations between diabetes in women and the HRQoL in these women and their family members, using the structural equation modeling (SEM).

Methods

This family-based study was conducted on 794 women (11.1% with diabetes) as well as their spouses and children who participated in the Tehran Lipid and Glucose Study (TLGS) from 2014 to 2016. Data on HRQoL were collected using the Iranian version of the Short-Form 12-Item Health Survey version 2 (SF-12v2) and the Pediatric Quality of Life Inventory version™ 4.0 (PedsQL). SEM was conducted to evaluate the network of associations among studied variables. Data were analyzed using IBM SPSS Statistics & AMOS version 23 software.

Results

Mean age of women was 41.37 ± 5.32 years. Diabetes in women significantly affected their mental HRQoL (β = − 0.11, P < 0.01) but showed no significant direct associations with physical and mental HRQoL in their spouses or their children. However, poor mental HRQoL in women with diabetes was associated with decrease in both physical (β = − 0.02, P = 0.013) and mental (β = − 0.03, P < 0.01) HRQoL in their spouses and total HRQoL score in children (β = − 0.02, P < 0.01).

Conclusions

Among women with diabetes type 2, beyond its effect on their mental HRQoL per se, demonstrated a negative association with the self-assessment of health status in their spouses and children. Such familial consequences are mainly attributed to the negative effect of the disease on the mental rather than the physical HRQoL in women with diabetes.

Depressive symptoms and quality of life after screening for cognitive impairment in patients with type 2 diabetes: observations from the Cog-ID cohort study

OBJECTIVES

To assess changes in depressive symptoms and health-related quality of life (HRQOL) after screening for cognitive impairment in people with type 2 diabetes.

DESIGN

A prospective cohort study, part of the Cognitive Impairment in Diabetes (Cog-ID) study.

SETTING

Participants were screened for cognitive impairment in primary care. People suspected of cognitive impairment (screen positives) received a standardised evaluation at a memory clinic.

PARTICIPANTS

Participants ≥70 years with type 2 diabetes were included in Cog-ID between August 2012 and September 2014, the current study includes 179 patients; 39 screen positives with cognitive impairment, 56 screen positives without cognitive impairment and 84 participants not suspected of cognitive impairment during screening (screen negatives).

OUTCOME MEASURES

Depressive symptoms and HRQOL assessed with the Center for Epidemiologic Studies Depression Scale (CES-D), 36-Item Short-Form Health Survey, European Quality of Life-5 Dimensions questionnaire and the EuroQol Visual Analogue Scale. Outcomes were assessed before the screening, and 6 and 24 months after screening. An analysis of covariance model was fitted to assess differences in score changes among people diagnosed with cognitive impairment, screen negatives and screen positives without cognitive impairment using a factor group and baseline score as a covariate.

RESULTS

Of all participants, 60.3% was male, mean age was 76.3±5.0 years, mean diabetes duration 13.0±8.5 years. At screening, participants diagnosed with cognitive impairment had significantly more depressive symptoms and a worse HRQOL than screen negatives. Scores of both groups remained stable over time. Screen positives without cognitive impairment scored between the other two groups at screening, but their depressive symptoms decreased significantly during follow-up (mean CES-D: -3.1 after 6 and -2.1 after 24 months); their HRQOL also tended to improve.

CONCLUSIONS

Depressive symptoms are common in older people with type 2 diabetes. Screening for and a subsequent diagnosis of cognitive impairment will not increase depressive symptoms.

Factors related to health-related quality of life in ankylosing spondylitis, overall and stratified by sex

Background

Ankylosing spondylitis (AS) begins early in life and often leads to reduced physical function, but less is known about the impacts it has on health-related quality of life (HRQoL). The aims of this study were to assess HRQoL using the Short Form-36 (SF-36) in a cohort of patients with AS compared with controls and to examine associations between SF-36 scores and spinal radiographic changes, physical function, disease activity and demographic data overall and stratified by sex.

Methods

A cohort of patients with AS from Western Sweden were assessed using the Modified Stoke Ankylosing Spondylitis Spine Score (mSASSS) with spinal radiographs, clinical examination and questionnaires, including the Bath Ankylosing Spondylitis Metrology Index, Bath Ankylosing Spondylitis Functional Index (BASFI), Ankylosing Spondylitis Disease Activity Score-C-reactive protein (ASDAS-CRP), Bath Ankylosing Spondylitis Disease Activity Index, Bath Ankylosing Spondylitis Patient Global (BASG) and SF-36. Each patient’s SF-36 results were compared with those of five age-matched and sex-matched persons (n = 1055) from the SF-36 Swedish normative population database. Associations between SF-36 physical component summary (PCS) and mental component summary (MCS) scores and disease-related and demographic factors were investigated using univariate and multivariable ogistic regression analyses with PCS and MCS below/above their respective median values as dependent variables.

Results

A total of 210 patients, age (median, IQR) 49.0 (21.2) years, symptom duration 24.0 (21.0) years, men 57.6% and HLAB27 87.1% were included. Patients with AS scored significantly lower (p < 0.001) compared to controls in all SF-36 domains and component summaries; PCS 42.4 (14.5) in AS versus 52.4 (11.8) in controls and MCS 47.9 (20.0) in AS versus 54.1 (10.1) in controls. Both men and women scored significantly lower in PCS compared with MCS. Multivariable logistic regression analyses revealed that living without a partner (OR 2.38, 95% CI 1.00–5.67), long symptom duration (year in decade OR 1.66, 95% CI 1.16–2.37), higher BASFI (OR 1.98, 95% CI 1.46–2.70) and ASDAS ≥ 2.1 (OR 3.32, 95% CI 1.45–7.62) were associated with worse PCS, while living without a partner (OR 3.04, 95% CI 1.34–6.91), fatigue (visual analogue scale for global fatigue greater than the median (OR 6.36, 95% CI 3.06–13.19) and ASDAS ≥ 2.1 (OR 2.97, 95% CI 1.41–6.25) with worse MCS. Some differences between sexes were observed in the results.

Conclusions

The patients with AS had significantly lower HRQoL compared with controls. PCS was more affected compared to MCS in both sexes. Both disease-related and demographic factors were associated with HRQoL, partly overlapping for PCS and MCS. Factors associated with HRQoL showed some differences between sexes. By modifying factors, such as ASDAS-CRP and fatigue, HRQoL may potentially be improved.

Trial registration

ClinicalTrials.gov, NCT00858819. Registered on 9 March 2009. Last updated on 28 May 2015.

Electronic supplementary material

The online version of this article (10.1186/s13075-018-1784-8) contains supplementary material, which is available to authorized users.

Burden of Illness in Type 2 Diabetes Mellitus

An estimated 30.2 million Americans have diabetes, and this number is expected to increase based on trends over recent decades and compounded by an aging U.S.

POPULATION

As reviewed in this article, type 2 diabetes mellitus (T2DM) is associated with impaired health-related quality of life (HRQoL) and with a substantial socioeconomic burden. Compared with individuals without T2DM, those with T2DM have worse HRQoL, greater decrements in HRQoL over time, and possibly greater depressive symptomology. Diabetes-related complications and comorbidities (e.g., obesity and cardiovascular disease) are associated with worse HRQoL. Hypoglycemic episodes are associated with reduced HRQoL and greater levels of depression; they can also interfere with social and occupational activities. In turn, low HRQoL can be a driver for poor glycemic control. In 2012, the total estimated cost associated with diagnosed diabetes in the United States was $245 billion. Factors contributing to increased health care resource utilization and costs in patients with T2DM include medical comorbidities, diabetes-related complications, inadequate glycemic control, and hypoglycemic episodes. Readmission is a key driver of hospital-related costs and is more common among elderly patients with T2DM. Elderly patients with T2DM represent a particularly vulnerable population given that these patients may have varying degrees of physical and mental comorbidities that can increase their risk of hypoglycemia, falls, and depression. This review demonstrates that T2DM imposes a considerable burden on both the individual and society. Treatment strategies should consider the effects of treatment on HRQoL and on outcomes (e.g., complications and hypoglycemia) that affect both HRQoL and costs. Management strategies that maximize HRQoL while minimizing the risk of hypoglycemia and other treatment-related complications are particularly critical in the elderly.

DISCLOSURES

This supplement was funded by Novo Nordisk. Cannon reports speaker fees and owns stock in Novo Nordisk. Handelsman reports research grants from Amgen, AstraZeneca, Bristol-Myers Squibb, Boehringer Ingelheim, Grifols, Janssen, Lexicon, Merck, Novo Nordisk, Regeneron, and Sanofi; speaker fees from Amarin, Amgen, AstraZeneca, Boehringer Ingelheim-Lilly, Janssen, Merck, Novo Nordisk, Regeneron, and Sanofi; and has served in advisory capacity to Amarin, Amgen, AstraZeneca, Boehringer Ingelheim, Eisai, Intarcia, Janssen, Lilly, Merck, Merck-Pfizer, Novo Nordisk, Regeneron, and Sanofi. Heile reports speaker fees from and has served as advisor to Novo Nordisk. Shannon reports consultant and speaker fees from Novo Nordisk and Boehringer Ingelheim-Lilly Alliance.

Anxiety, depression, and health-related quality of life in aging people living with HIV compared to diabetes patients and patients with minor health conditions: a longitudinal study

HIV infection has evolved from a fatal to a treatable condition, leading to an increase in the rate of elderly People Living with HIV (PLWH). However, little is known about the psychosocial burden of elderly PLWH. Thus, the aim of this longitudinal multi-center cohort study was to investigate whether elderly PLWH experience more anxiety and depression and reduced health related quality of life (HRQOL) compared to elderly patients with other chronic conditions. PLWH were compared to diabetes patients (DM) and patients with minor health conditions (MHC), e.g. patients with hypertension or allergic conditions. All patients were over 50 years old. Anxiety and depression (HADS) as well as HRQOL (SF-36) were assessed at baseline and after 12 months. 218 PLWH, 249 DM and 254 MHC were included. At baseline, the study groups did not differ in anxiety, depression, and physical HRQOL. However, PLWH indicated lower mental HRQOL than DM and MHC patients (p = 0.001). We did not obtain any moderating effects showing a differential effect of patient characteristics on anxiety, depression, and HRQOL in the three patient groups. At follow-up, the level of anxiety, depression, and HRQOL did not change significantly. The prevalence of anxiety ranged between 27 and 35%, and that of depression between 17 and 28%. Thus, the results of our investigation tentatively suggest that the psychosocial adaptation to HIV among elderly PLWH resembles those of other chronic diseases. There may be some subtle impairments, though, as PLWH experienced lower mental HRQOL.

Effect of Family History of Diabetes on Hemoglobin A1c Levels among Individuals with and without Diabetes: The Dong-gu Study

PURPOSE

We investigated associations between family history of diabetes (FHD) and hemoglobin A1c (HbA1c) level, among people with and without diabetes.

MATERIALS AND METHODS

In total, 7031 people without diabetes and 1918 people with diabetes who participated in the Dong-gu Study were included. Data on FHD in first-degree relatives (father, mother, and siblings) were obtained. Elevated HbA1c levels in people without diabetes and high HbA1c levels in people with diabetes were defined as the highest quintiles of HbA1c ≥5.9% and ≥7.9%, respectively.

RESULTS

In people without diabetes, the odds of elevated HbA1c levels [odds ratio (OR) 1.34, 95% confidence interval (CI) 1.13-1.59] were significantly greater in people with any FHD than in those without. Specifically, the odds of elevated HbA1c levels in people without diabetes with an FHD involving siblings were greater than in those without an FHD involving siblings. Additionally, in people with diabetes, the odds of high HbA1c levels (OR 1.33, 95% CI 1.02-1.72) were greater in people with any FHD than in those without such history. Moreover, people with diabetes with maternal FHD had increased odds of high HbA1c levels.

CONCLUSION

FHD was associated not only with high HbA1c levels in people with diabetes, but also with elevated HbA1c levels in people without diabetes.