Is quality of life different between diabetic and non-diabetic people? The importance of cardiovascular risks

Peña-Longobardo, Luz María; Rodríguez-Sánchez, Beatriz; Mata-Cases, Manel; Rodríguez‐Mañas, Leocadio; Capel, Margarita; Oliva‐Moreno, Juan

doi:10.1371/journal.pone.0189505

Cited by 16 publications

(13 citation statements)

References 42 publications

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“…The presence of comorbid hypertension was not significantly associated with HRQoL for both sexes in this study. This is in contrast with reports from studies in Greece [ 36 ], and Spain [ 38 ], where presence of hypertension and other comorbidities was associated with lower HRQoL scores. However, in this study, subjects’ systemic blood pressures were found to be indirectly correlated with HRQoL.…”

Section: Discussioncontrasting

confidence: 99%

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

Enang

Omoronyia

Asibong

et al. 2021

J. Egypt. Public. Health. Assoc.

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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.

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Section: Discussioncontrasting

confidence: 99%

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

Enang

Omoronyia

Asibong

et al. 2021

J. Egypt. Public. Health. Assoc.

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“…For example, diabetic patients with no other vascular risk factors or vascular disease have a similar HRQoL to that of the general non-diabetic population, after adjusting for covariates. However, when the diabetic patient has several risk factors or has developed vascular disease, the HRQoL decreases significantly [41].…”

Section: Discussionmentioning

confidence: 99%

Impact of non-cardiovascular comorbidities on the quality of life of patients with chronic heart failure: a scoping review

Comín‐Colet

Lorenzo

González-Domínguez

et al. 2020

Health Qual Life Outcomes

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Purpose To determine the impact of non-cardiovascular comorbidities on the health-related quality of life (HRQoL) of patients with chronic heart failure (CHF). Methods A scoping review of the scientific literature published between 2009 and 2019 was carried out. Observational studies which assessed the HRQoL of patients with CHF using validated questionnaires and its association with non-cardiovascular comorbidities were included. Results The search identified 1904 studies, of which 21 fulfilled the inclusion criteria to be included for analysis. HRQoL was measured through specific, generic, or both types of questionnaires in 72.2%, 16.7%, and 11.1% of the studies, respectively. The most common comorbidities studied were diabetes mellitus (12 studies), mental and behavioral disorders (8 studies), anemia and/or iron deficiency (7 studies), and respiratory diseases (6 studies). Across studies, 93 possible associations between non-cardiovascular comorbidities and HRQoL were tested, of which 21.5% regarded anemia or iron deficiency, 20.4% mental and behavioral disorders, 20.4% diabetes mellitus, and 14.0% respiratory diseases. Despite the large heterogeneity across studies, all 21 showed that the presence of a non-cardiovascular comorbidity had a negative impact on the HRQoL of patients with CHF. A statistically significant impact on worse HRQoL was found in 84.2% of associations between mental and behavioral disorders and HRQoL (patients with depression had up to 200% worse HRQoL than patients without depression); 73.7% of associations between diabetes mellitus and HRQoL (patients with diabetes mellitus had up to 21.8% worse HRQoL than patients without diabetes mellitus); 75% of associations between anemia and/or iron deficiency and HRQoL (patients with anemia and/or iron deficiency had up to 25.6% worse HRQoL than between patients without anemia and/or iron deficiency); and 61.5% of associations between respiratory diseases and HRQoL (patients with a respiratory disease had up to 21.3% worse HRQoL than patients without a respiratory disease). Conclusion The comprehensive management of patients with CHF should include the management of comorbidities which have been associated with a worse HRQoL, with special emphasis on anemia and iron deficiency, mental and behavioral disorders, diabetes mellitus, and respiratory diseases. An adequate control of these comorbidities may have a positive impact on the HRQoL of patients.

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“…[7][8][9][10] Both CVD and acute CV events have a major clinical impact and negatively affect patients' quality of life. 11 The Food and Drug Administration requires concrete evidence regarding CV safety when evaluating new treatments for diabetes. This evidence includes an assessment of major adverse cardiovascular events (MACE), that is, non-fatal stroke, non-fatal acute myocardial infarction (AMI) and CV death.…”

Section: Significance Of This Studymentioning

confidence: 99%

“… 7–10 Both CVD and acute CV events have a major clinical impact and negatively affect patients’ quality of life. 11 …”

Section: Introductionmentioning

confidence: 99%

Incidence and costs of cardiovascular events in Spanish patients with type 2 diabetes mellitus: a comparison with general population, 2015

Artola¹,

García-Moll

Uría

et al. 2020

BMJ Open Diab Res Care

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IntroductionCardiovascular (CV) disease affects a high percentage of patients with type 2 diabetes mellitus (T2DM), especially in the hospital setting, impacting on mortality, complications, quality of life and use of health resources. The aim of this study was to estimate the incidence, mean length of hospital stay (LOHS) and costs attributable to hospital admissions due to CV events in patients with T2DM versus patients without diabetes mellitus (non-DM) in Spain.Research design and methodsRetrospective observational study based on the Spanish National Hospital Discharge Database for 2015. Hospital admissions for patients aged ≥35 years with a diagnosis of CV death, non-fatal acute myocardial infarction (AMI), non-fatal stroke, unstable angina, heart failure and revascularization were evaluated. The International Classification of Diseases, Ninth Revision (250.x0 or 250.x2) coding was used to classify records of patients with T2DM. For each CV complication, the hospital discharges of the two groups, T2DM and non-DM, were precisely matched and the number of hospital discharges, patients, LOHS and mean cost were quantified. Additional analyses assessed the robustness of the results.ResultsOf the 276 925 hospital discharges analyzed, 34.71% corresponded to patients with T2DM. A higher incidence was observed in all the CV complications studied in the T2DM population, with a relative risk exceeding 2 in all cases. The mean LOHS (days) was longer in the T2DM versus the non-DM group for: non-fatal AMI (7.63 vs 7.02, p<0.001), unstable angina (5.11 vs 4.78, p=0.009) and revascularization (7.96 vs 7.57, p<0.001). The mean cost per hospital discharge was higher in the T2DM versus the non-DM group for non-fatal AMI (€6891 vs €6876, p=0.029) and unstable angina (€3386 vs €3304, p<0.001).ConclusionsPatients with T2DM had a higher incidence and number of hospital admissions per patient due to CV events versus the non-DM population. This generates a significant clinical and economic burden given the longer admission stay and higher costs associated with some of these complications.

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Is quality of life different between diabetic and non-diabetic people? The importance of cardiovascular risks

Cited by 16 publications

References 42 publications

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

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

Impact of non-cardiovascular comorbidities on the quality of life of patients with chronic heart failure: a scoping review

Incidence and costs of cardiovascular events in Spanish patients with type 2 diabetes mellitus: a comparison with general population, 2015

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