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Distress and Living with Diabetes: Defining Characteristics Through an Online Survey

INTRODUCTION: There is considerable evidence for diabetes reducing quality of life. The impact of such a diagnosis on mental health is less well understood and was subsequently explored here. METHODS: Online PHQ-9 scores (which calculate the severity of depression), Diabetes Distress Screening Scale...

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Autores principales: Waheed, Unaiza, Heald, Adrian H., Stedman, Mike, Solomon, Emma, Rea, Rustam, Eltom, Saydah, Gibson, J. Martin, Grady, Katherine, Nouwen, Arie, Rayman, Gerry, Paisley, Angela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Healthcare 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9281294/
https://www.ncbi.nlm.nih.gov/pubmed/35831740
http://dx.doi.org/10.1007/s13300-022-01291-3
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author Waheed, Unaiza
Heald, Adrian H.
Stedman, Mike
Solomon, Emma
Rea, Rustam
Eltom, Saydah
Gibson, J. Martin
Grady, Katherine
Nouwen, Arie
Rayman, Gerry
Paisley, Angela
author_facet Waheed, Unaiza
Heald, Adrian H.
Stedman, Mike
Solomon, Emma
Rea, Rustam
Eltom, Saydah
Gibson, J. Martin
Grady, Katherine
Nouwen, Arie
Rayman, Gerry
Paisley, Angela
author_sort Waheed, Unaiza
collection PubMed
description INTRODUCTION: There is considerable evidence for diabetes reducing quality of life. The impact of such a diagnosis on mental health is less well understood and was subsequently explored here. METHODS: Online PHQ-9 scores (which calculate the severity of depression), Diabetes Distress Screening Scale (DDSS) and EQ-5D-5L (quality-of-life) questionnaires were completed by patients with diabetes, followed by the extraction of data where possible from responders’ clinical records. RESULTS: A total of 133 people submitted questionnaires. However, not all data items could be completed by each patient; 35% (45/130) had type I diabetes mellitus (T1DM); 55% (64/117) were women. The overall median age of 117 responders was 60 (IQR 50–68 years). The median aggregated response scores were: EQ-5D-5L 0.74 (IQR 0.64–0.85) (lower quality of life than UK population median of 0.83), DDSS 1.9 (IQR1.3–2.7) (≥ 2 indicates moderate distress) and PHQ-9 5 (IQR2-11) (≥ 5 indicates depression). Higher diabetes distress (DDSS)/lower quality of life EQ-5D-5L/higher depressive symptoms (PHQ-9) linked to female sex (DDSS 0.5/25% above median), younger age (< 50 years DDSS 0.7/35% above median), fewer years after diagnosis (< 10 years DDSS 0.8/40% above median), and obesity (BMI > 35 DDSS 0.6/30% above median). Additionally, a HbA1c reading of ≤ 48 mmol/mol was associated with higher DDSS scores, as did a reduction of more than 5 mmol/mol in HbA1c over the last three HbA1c measurements. The 30 individuals with a history of prescribed antidepressant medication also showed higher diabetes distress scores (DDSS 0.9, equating to 45% above the median). The DDSS score elevation came from an increase in emotional burden and regimen-related distress. DDSS scores were not significantly linked to diabetes type, insulin use, absolute level/change in blood glucose HbA1c. Physician-related distress showed a similar pattern. CONCLUSIONS: A low level of stress in relation to diabetes management may be associated with lower HbA1c. The larger impact of diabetes on mental health in younger women/people with shorter diabetes duration should be noted when considering psychosocial intervention/behavior change messaging. Physician-related distress is a potentially remediable factor. However, this sample was self-selecting, limiting generalization to other samples.
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spelling pubmed-92812942022-07-14 Distress and Living with Diabetes: Defining Characteristics Through an Online Survey Waheed, Unaiza Heald, Adrian H. Stedman, Mike Solomon, Emma Rea, Rustam Eltom, Saydah Gibson, J. Martin Grady, Katherine Nouwen, Arie Rayman, Gerry Paisley, Angela Diabetes Ther Original Research INTRODUCTION: There is considerable evidence for diabetes reducing quality of life. The impact of such a diagnosis on mental health is less well understood and was subsequently explored here. METHODS: Online PHQ-9 scores (which calculate the severity of depression), Diabetes Distress Screening Scale (DDSS) and EQ-5D-5L (quality-of-life) questionnaires were completed by patients with diabetes, followed by the extraction of data where possible from responders’ clinical records. RESULTS: A total of 133 people submitted questionnaires. However, not all data items could be completed by each patient; 35% (45/130) had type I diabetes mellitus (T1DM); 55% (64/117) were women. The overall median age of 117 responders was 60 (IQR 50–68 years). The median aggregated response scores were: EQ-5D-5L 0.74 (IQR 0.64–0.85) (lower quality of life than UK population median of 0.83), DDSS 1.9 (IQR1.3–2.7) (≥ 2 indicates moderate distress) and PHQ-9 5 (IQR2-11) (≥ 5 indicates depression). Higher diabetes distress (DDSS)/lower quality of life EQ-5D-5L/higher depressive symptoms (PHQ-9) linked to female sex (DDSS 0.5/25% above median), younger age (< 50 years DDSS 0.7/35% above median), fewer years after diagnosis (< 10 years DDSS 0.8/40% above median), and obesity (BMI > 35 DDSS 0.6/30% above median). Additionally, a HbA1c reading of ≤ 48 mmol/mol was associated with higher DDSS scores, as did a reduction of more than 5 mmol/mol in HbA1c over the last three HbA1c measurements. The 30 individuals with a history of prescribed antidepressant medication also showed higher diabetes distress scores (DDSS 0.9, equating to 45% above the median). The DDSS score elevation came from an increase in emotional burden and regimen-related distress. DDSS scores were not significantly linked to diabetes type, insulin use, absolute level/change in blood glucose HbA1c. Physician-related distress showed a similar pattern. CONCLUSIONS: A low level of stress in relation to diabetes management may be associated with lower HbA1c. The larger impact of diabetes on mental health in younger women/people with shorter diabetes duration should be noted when considering psychosocial intervention/behavior change messaging. Physician-related distress is a potentially remediable factor. However, this sample was self-selecting, limiting generalization to other samples. Springer Healthcare 2022-07-13 2022-09 /pmc/articles/PMC9281294/ /pubmed/35831740 http://dx.doi.org/10.1007/s13300-022-01291-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Original Research
Waheed, Unaiza
Heald, Adrian H.
Stedman, Mike
Solomon, Emma
Rea, Rustam
Eltom, Saydah
Gibson, J. Martin
Grady, Katherine
Nouwen, Arie
Rayman, Gerry
Paisley, Angela
Distress and Living with Diabetes: Defining Characteristics Through an Online Survey
title Distress and Living with Diabetes: Defining Characteristics Through an Online Survey
title_full Distress and Living with Diabetes: Defining Characteristics Through an Online Survey
title_fullStr Distress and Living with Diabetes: Defining Characteristics Through an Online Survey
title_full_unstemmed Distress and Living with Diabetes: Defining Characteristics Through an Online Survey
title_short Distress and Living with Diabetes: Defining Characteristics Through an Online Survey
title_sort distress and living with diabetes: defining characteristics through an online survey
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9281294/
https://www.ncbi.nlm.nih.gov/pubmed/35831740
http://dx.doi.org/10.1007/s13300-022-01291-3
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