Managing diabetes in ageing patients during the COVID-19 pandemic

Armeni, Eleni; Paschou, Stavroula Α.; Peppa, Μelpomeni

doi:10.1016/j.maturitas.2020.11.002

Cited by 4 publications

(3 citation statements)

References 13 publications

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“…It appears that the study was conducted during the COVID-19 pandemic, which posed significant challenges due to government restrictions. Diabetes was one of the comorbidities with increased incidence in COVID-19 patients as the virus is related to glucose dysregulation or hyperglycemic hyperosmotic state [47]. Additionally, many health promotion programs focusing on type 2 diabetes and obesity had been canceled.…”

Section: Discussionmentioning

confidence: 99%

A modern web-based health promotion program for patients in Greece with diabetes 2 and obesity: an interventional study

et al. 2023

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Background Health promotion programs are most beneficial in chronic diseases such as diabetes and morbid obesity, which can be positively affected by changes in attitudes, beliefs, and lifestyle. Objectives This study aimed to develop an internet-based modern Health Promotion model using interactive online applications through continuing education and participation. Methods The goal was to positively impact knowledge, behavior, and quality of life for patients with obesity and/or diabetes. This is a prospective interventional study on patients with obesity or type 2 diabetes. Seventeen two patients who met the inclusion criteria were distributed randomly into two groups (control and intervention) from 2019 to 2021 in Greece. All the participants were given questionaries concerning quality of life anxiety and depression (HADS) attitudes and beliefs, knowledge about their condition and general questions to establish a baseline. A traditional health promotion model was followed for the control group. For participants in the intervention group, a web-based health promotion program was created according to the goals of the research. Participants were instructed to log on 1–2 times a week for 5–15 min, with the understanding that the research team would be monitoring their activities. The website included two knowledge games and personalized educational material based on their needs. Results The sample comprised 72 patients (36 in control and 36 in the intervention groups). The mean age was 47.8 years for the control group and 42.7 years for the intervention group (p = 0.293). Both study groups had a significant increase in knowledge score on diabetes (Control group:3,24, Intervention group 11,88 p < 0,001) and obesity (Control group:4,9, Intervention group 51,63 p < 0,001) along with a positive attitude score towards fighting obesity (Control group: 1,8, Intervention group 13,6 p < 0,001). Still, the overall change was more remarkable for the intervention group, as indicated by the significant interaction effect of the analysis. Anxiety was decreased only in the intervention group (Control group:0,11, Intervention group − 0,17 p < 0,005). Analysis for QOL during follow-up showed that Physical Health and Level of Independence was improved in both study groups but the degree of improvement was more significant in the intervention group (Control group 0,31,Intervention group 0,73 p < 0,001). Psychological Health was improved only in the intervention group, with better scores at 6 and 12 months compared to controls (Control group 0,28,Intervention group 1,42 p < 0,001). Furthermore, Social relationships were improved only in the intervention group (Control group 0,02, Intervention group 0,56 p < 0,001). Conclusions The results of the present study showed that the participants in the intervention group showed significant improvement in knowledge, attitudes, and beliefs after using the internet as a learning tool. The intervention group also showed significantly reduced anxiety and depression arising from chronic illness. All of this resulted in an improved quality of life regarding physical Health, mental Health, and social relationships. Technology and online-based health promotion programs can revolutionize how we approach the prevention and management of chronic and terminal illnesses by improving accessibility, personalizing care, increasing engagement and motivation, improving data analysis, and disease management.

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Section: Discussionmentioning

confidence: 99%

A modern web-based health promotion program for patients in Greece with diabetes 2 and obesity: an interventional study

et al. 2023

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“…Indeed, the most frequent age estimates were just below 65 years and slightly above 80 years. Aging patients with T2DM present several specific characteristics and treatment needs, especially in this era of the COVID-19 pandemic [ 24 ].…”

Section: Discussionmentioning

confidence: 99%

Patients with type 2 diabetes mellitus present similar immunological response to COVID-19 BNT162b2 mRNA vaccine to healthy subjects: a prospective cohort study

et al. 2022

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Aim To compare the kinetics of neutralizing antibodies (NΑbs) against SARS-CoV-2 after vaccination with the BNT162b2 mRNA vaccine (Comirnaty, Pfizer/BioNTech) between patients with T2DM and healthy controls. Methods NAb levels after the BNT162b2 mRNA vaccine were compared between 50 patients with non-insulin treated T2DM and 50 age-, gender-, and BMI-matched healthy controls up to 3 months after the second dose. The median age of both groups was 70 years. Results On day 1, mean NAbs of the control and T2DM groups were 14.64% (standard error, SE = 2.30) and 14.04% (SE = 2.14), respectively (p value = 0.926). Three weeks later, the mean NAb values were 39.98% (SE = 3.53) in the control group and 40.97% (SE = 3.99) in participants with T2DM (p value = 0.698). One month after the second vaccination, mean NAb values increased to 87.13% (SE = 2.94) in the control group and 89.00% (SE = 2.18) in the T2DM group. Three months after the second vaccine dose, the mean inhibitory titers decreased to 83.49% (SE = 3.82) (control group) and 76.36% (SE = 3.33) (T2DM group). On all occasions, no significant difference was found between the two groups (all p values > 0.05). Conclusions Patients with T2DM present similar immunological response to COVID-19 BNT162b2 mRNA vaccine to that of healthy subjects.

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“…In addition, the current pandemic situation has affected the health access of diabetic patients by influencing not only the taking of medications but also health education, which is very important for disease management [30]. Therefore, management is getting more difficult for older Type 2 diabetes patients and those who live alone [31]. Table 1 shows that 28.5% of patients report that the COVID-19 pandemic has created huge difficulties in getting proper healthcare from family members.…”

Section: Discussionmentioning

confidence: 99%

Impact of COVID-19 Outbreak in Healthcare of People with Type 2 Diabetes: Evidence from a Cross-Sectional Study

Kamberi

Ndreu

Sinaj

et al. 2022

Open Access Maced J Med Sci

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Objective The aim was to assess the impact of the COVID-19 outbreak on the health care of type 2 diabetes patients and identify the correlated factors. Research Design and Methods A cross-sectional study was carried out from November 2020 to February 2021. The study enrolled 400 adults with type 2 diabetes aged 40–65 with at least one other chronic illness receiving health services in primary care in Vlore, Albania. A short questionnaire based on literature, taking into account the situation of the COVID-19 pandemic, was used for the data collection. The administration of the questionnaire was done by trained nurses. All participants gave their written informed consent before administering the questionnaire. Two-tailed Pearson correlation and linear regression were used to test the correlations. Results Among 400 patients with type 2 diabetes in the study, 53.0% were female and 47.0% were men. Most of the participants were married (n = 303) with a high level of education (54.3%). Treatment was mainly with oral medications (58.0%). Based on body mass index, 63.0% of participants were overweight. Employment status (p = 003), the type of treatment, oral medication vs insulin (p = 001), body mass index (p = 001), and living alone (p = 008) were the more correlated factors. Conclusions Care of type 2 diabetic patients due to the COVID-19 pandemic is closely associated with social determinants of health and the resources of healthcare settings. The need to address innovative approaches to care including self-care, social support, and e-health is recommended.

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Managing diabetes in ageing patients during the COVID-19 pandemic

Cited by 4 publications

References 13 publications

A modern web-based health promotion program for patients in Greece with diabetes 2 and obesity: an interventional study

A modern web-based health promotion program for patients in Greece with diabetes 2 and obesity: an interventional study

Patients with type 2 diabetes mellitus present similar immunological response to COVID-19 BNT162b2 mRNA vaccine to healthy subjects: a prospective cohort study

Impact of COVID-19 Outbreak in Healthcare of People with Type 2 Diabetes: Evidence from a Cross-Sectional Study

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