Quantities of comorbidities affects physical, but not mental health related quality of life in type 1 diabetes with confirmed polyneuropathy

Evaluation of quality of life and physical activity in patients with type 1 diabetes mellitus during the COVID-19 pandemic

Objective

The aim of the study is to compare the quality of life, physical activity, anxiety, depression, fear of hypoglycemia, loneliness perception in patients with type 1 diabetes mellitus and controls.

Subjects and methods

Forty-four patients and 63 controls were included in this cross-sectional study. Quality of life (Short Form 36-SF-36), physical activity level (International Physical Activity Questionnaire-short form), anxiety and depression (Hospital Anxiety and Depression Scale), fear of hypoglycemia (Hypoglycemia Fear Survey), loneliness perception (UCLA Loneliness Scale) were evaluated.

Results

Physical role limitations and general health perception subscale scores of SF-36 questionnaire in patients were significantly higher than the controls (p < 0.05).

Conclusion

Role limitations due to physical problems and fear of hypoglycemia are increased, and general health perception is impaired in patients with type 1 diabetes mellitus. Physical inactivity is an important symptom in individuals in the pandemic period. In this regard, telerehabilitation approaches will be beneficial for all individuals in increasing physical activity, improving quality of life, and decreasing anxiety, depression and loneliness perception during the pandemic period for all individuals. The importance of a multidisciplinary approach in diabetes management and dealing with problems should be considered in pandemic.

Effect of High-Intensity Interval Training on Quality of Life, Sleep Quality, Exercise Motivation and Enjoyment in Sedentary People with Type 1 Diabetes Mellitus

(1) Background: Type 1 diabetes mellitus (T1DM) people’s health-related quality of life (HRQoL) is affected by glycemic control. Regular exercise is strongly recommended to these patients due to its cardiovascular and metabolic benefits. However, a large percentage of patients with T1DM people present a sedentary behavior because of the fear of a post-exercise hypoglycemia event, lack of time, lack of motivation and the complicated management of exercise, glycemic and insulin dose interaction. High-intensity interval training (HIIT) is an efficient and safe methodology since it prevents hypoglycemia and does not require much time, which are the main barriers for this population to doing exercise and increasing physical conditioning. (2) Methods: Nineteen sedentary adults (37 ± 6.5 years) with T1DM, were randomly assigned to 6 weeks of either HIIT (12-16-20 × 30-s intervals interspersed with 1-min rest periods) performed thrice weekly, or to the control group, which did not train. HRQoL, sleep quality, exercise motivation and enjoyment were measured as psychological variables. (4) Results: HRQoL improved in physical and social domains, PF (1.9%); PR (80.3%); GH (16.6); SF (34.1%). Sleep quality improved in the HIIT group by 21.4%. Enjoyment improved by 7% and intrinsic motivation was increased by 13%. (5) Conclusions: We suggest that the 6-week HIIT program used in the present study is safe, since no severe hypoglycemia were reported, and an effective strategy in improving HRQoL, sleep quality, exercise motivation and enjoyment which are important psychological well-being factors in T1DM people.

A cross-sectional study of the quality of life of patients living with type 1 diabetes treated with insulin glargine and neutral protamine Hagedorn insulin and the implications

Objectives

The study aim was to identify key factors associated with the health-related quality of life (HRQOL) of patients with type 1 diabetes mellitus (T1DM) treated with neutral protamine Hagedorn (NPH) insulin or human insulin analog glargine (IGLA).

Methods

We conducted two cross-sectional studies in Minas Gerais State, Brazil. One with 401 patients treated with IGLA, and the other with 179 T1DM patients treated with NPH. HRQOL was measured by Euroqol (EQ-5D-3L).

Key findings

Most participants were male (51%), aged between 18 and 40 years (47%), non-black (58%) and from the highest economic strata (A1-B2) (74%). Participants perceived their health as good/very good (51%), had one to three medical consultations in the previous year (51%), were not hospitalized in the previous year (74%), did not report angina (96%), diabetic neuropathy (90%), hearing loss (94%) or kidney disease (89%). Non-severe hypoglycaemia episodes in the last 30 days were reported by 17% of participants.

Conclusions

Higher HRQOL was associated with younger age (18–40 years), good/very good health self-perception, having had up to three medical consultations in the last year, not being hospitalized in the last year, having none to three comorbidities, not reporting angina, diabetic neuropathy, hearing loss or kidney disease and having had episodes of non-severe hypoglycaemia. In addition, the findings of our study demonstrated inequalities in access to treatment, which will be the subject of future research projects.

Health care access and health-related quality of life among people with diabetes in the Southern Cone of Latin America-a cross-sectional analysis of data of the CESCAS I study

PURPOSE

Little is known on the association of health care access and health-related quality of life (HRQoL) in people with diabetes in the Southern Cone of Latin America (SCLA).

METHODS

We analyzed data of 1025 participants of CESCAS I. To determine HRQoL, we used the SF-12 physical (PCS-12) and mental component summary (MCS-12). We compared four groups regarding HRQoL: (a) insured people without self-reported barriers to health care, (b) uninsured people without self-reported barriers to health care, (c) insured people with self-reported barriers to health care, and (d) uninsured people with self-reported barriers to health care. We conducted linear regressions with PCS-12 and MCS-12 as outcome. We adjusted for sociodemographic and disease-related factors and having access to a primary physician.

RESULTS

In the first group, there were 407, in the second 471, in the third 44, and in the fourth group 103 participants. Compared to the first group, PCS-12 was 1.9 points lower (95% Confidence Interval, CI: - 3.5, - 0.3) in the second, 4.5 points (95% CI: - 8.1, - 1) lower in the third, and 6.1 points lower (95% CI: - 8.7, - 3.6) in the fourth group. Compared to the first group, MCS-12 was 0.6 points lower (95% CI: - 2.7, 1.4) in the second, 4.8 points lower (95% CI: - 9.3, - 0.3) in the third, and 5.8 points lower (95% CI: - 9.1, - 2.5) in the fourth group.

CONCLUSION

In the SCLA, impeded access to care is common in people with diabetes. Self-reported barriers to care may be more important than insurance status in determining HRQoL.

Predictors of health-related quality of life among patients with diabetes on follow-up at Nekemte specialised Hospital, Western Ethiopia: a cross-sectional study

OBJECTIVE

To assess health-related quality of life (HRQoL) and its predictors among patients with diabetes on follow-up at Nekemte Specialised Hospital in Western Ethiopia.

DESIGN, SETTING AND PARTICIPANTS

This facility-based cross sectional study was conducted among 224 patients with diabetes mellitus (types I and II) on follow-up at one of the public hospitals in western Ethiopia. Respondents were selected by systematic random sampling and interviewed with the aid of a questionnaire.

MAIN OUTCOME MEASURED

HRQoL was measured by using the Medical outcomes study 36-item Short Form (SF-36) Health Survey from 15 April to 5 June 2019. A structured questionnaire was used for data collection from participants selected by systematic random sampling. Multiple linear regression was used for the final model.

RESULT

A total of 215 patients with diabetes consented and completed the study, giving a response rate of 96%. The mean score of the overall HRQoL of the study participants was 50.3±18.1. The highest mean score was obtained in the physical functioning domain and the lowest mean score in the general health domain. Age, education status, history of smoking, feeling of stigmatisation and body mass index were inversely associated with the overall HRQoL. Gender (male), marital status (currently married), absence of comorbidity and absence of chronic complications related to diabetes mellitus were positively associated with overall HRQoL.

CONCLUSION

The overall HRQoL of patients with diabetes on follow-up at the study area was found to be moderate. General health, mental health, bodily pain and vitality were the most affected domains. Both the mental and physical components need to be considered when caring for the patients with diabetes on follow-up beyond provision of treatment.