Quality of Life in Type 2 Diabetes Mellitus Patients with Neuropsychological Deficits

Marneras, C.; Messinis, Lambros; Ntoskou, Aikaterini; Nasios, Grigorios; Μαρτζούκου, Μαρία; Papathanasopoulos, Panagiotis

doi:10.1007/978-3-030-32637-1_5

Cited by 4 publications

(5 citation statements)

References 40 publications

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“…The factors that consistently had a negative impact on QoL, based on cross-sectional analysis, were female gender, lower levels of education, loneliness, reduced memory function, physical inactivity, poorer SRH, depressive symptoms, and greater mobility limitations. It is worth noting that these factors have been reported in previous studies (Verbrugge, 1982;Hibbard and Pope, 1983;Verbrugge, 1985;Green, 1990;Kandrack et al, 1991;Sharpe et al, 1991;Jacobson et al, 1994;Glasgow et al, 1997;Jacobson et al, 1997;Black, 1999;Rubin and Peyrot, 1999;Pouwer et al, 2005;Hermanns et al, 2006;Ij et al, 2012;VanderWeele et al, 2012;Kim and Kim, 2017;Zurita-Cruz et al, 2018;Zakin et al, 2019;Marneras et al, 2020;Al-Matrouk and Al-Sharbati, 2022). Additionally, education level was related to QoL, with survey participants who reported higher education and income scoring higher across all sub-scales of the SF-20 (Glasgow et al, 1997).…”

Section: Discussionmentioning

confidence: 58%

“…In previous research, several factors that impact the QoL of PwDM have been identified. These include higher age, female gender, higher body mass index (BMI), lower education, more limitations in activities of daily living (ADL), more loneliness, depression and depressive symptoms, higher number of chronic conditions, more mobility restrictions, reduced cognition, widowed or divorced marital status, unemployment or permanent illness at work, less physical activity, reduced general health, and presence of pain ( Glasgow et al, 1997 ; Rubin and Peyrot, 1999 ; Ij et al, 2012 ; VanderWeele et al, 2012 ; Kim and Kim, 2017 ; Zurita-Cruz et al, 2018 ; Zakin et al, 2019 ; Marneras et al, 2020 ; Al-Matrouk and Al-Sharbati, 2022 ). Over time, the long-term effects of the disease and its complications can further impact patients’ physical abilities, mobility, social relationships, self-esteem, and mental health ( Solli et al, 2010 ).…”

Section: Introductionmentioning

confidence: 99%

“…Over time, the long-term effects of the disease and its complications can further impact patients’ physical abilities, mobility, social relationships, self-esteem, and mental health ( Solli et al, 2010 ). Disease-specific factors such as stigmatization or the need for insulin injections, as well as complications of the disease progression, may further lead to reduced QoL; resulting in an overall lower QoL of PwDM compared to the general population ( Hanestad, 1993 ; Glasgow et al, 1997 ; Rubin and Peyrot, 1999 ; Solli et al, 2010 ; Ij et al, 2012 ; VanderWeele et al, 2012 ; Kim and Kim, 2017 ; Zurita-Cruz et al, 2018 ; Zakin et al, 2019 ; Marneras et al, 2020 ; Al-Matrouk and Al-Sharbati, 2022 ; Yildirim et al, 2023 ). Diabetic neuropathy, for example, has a specific impact on mobility and physical abilities which may lead to difficulty in maintaining social relationships, among other challenges.…”

Section: Introductionmentioning

confidence: 99%

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Trajectories of quality of life in people with diabetes mellitus: results from the survey of health, ageing and retirement in Europe

Mendorf,

Heimrich,

Mühlhammer

et al. 2024

Front. Psychol.

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IntroductionPrevious longitudinal studies identified various factors predicting changes in Quality of Life (QoL) in people with diabetes mellitus (PwDM). However, in these studies, the stability of QoL has not been assessed with respect to individual differences.MethodsWe studied the predictive influence of variables on the development of QoL in PwDM across three waves (2013–2017) from the cross-national panel dataset Survey of Health, Ageing, and Retirement in Europe (SHARE). To determine clinically meaningful changes in QoL, we identified minimal clinically important difference (MCID). Linear regressions and Linear Mixed Models (LMM) were conducted to determine factors associated with changes in QoL.ResultsOn average, QoL remained stable across three waves in 2989 PwDM, with a marginal difference only present between the first and last wave. However, when looking at individual trajectories, 19 different longitudinal patterns of QoL were identified across the three time-points, with 38.8% of participants showing stable QoL. Linear regression linked lower QoL to female gender, less education, loneliness, reduced memory function, physical inactivity, reduced health, depression, and mobility limitations. LMM showed that the random effect of ID had the strongest impact on QoL across the three waves, suggesting highly individual QoL patterns.ConclusionThis study enhances the understanding of the stability of QoL measures, which are often used as primary endpoints in clinical research. We demonstrated that using traditional averaging methods, QoL appears stable on group level. However, our analysis indicated that QoL should be measured on an individual level.

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Section: Discussionmentioning

confidence: 58%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Trajectories of quality of life in people with diabetes mellitus: results from the survey of health, ageing and retirement in Europe

Mendorf,

Heimrich,

Mühlhammer

et al. 2024

Front. Psychol.

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“…El pie diabético constituye una patología prevalente como complicación de la Diabetes, que se incrementa año tras año, altera la calidad de vida de la persona, provoca grandes repercusiones socioeconómicas y sanitarias, y requiere tratamientos muy especializados. La diabetes mellitus aumenta el riesgo de deterioro cognitivo, por lo tanto, un control glucémico óptimo, identificación de los factores de riesgo de diabetes y un enfoque profiláctico son esenciales en la prevención de complicaciones cognitivas 25 . En este contexto, es de relevancia poder conocer el estado cognitivo de los pacientes para estar informados de su capacidad de entendimiento sobre cuidados del pie diabético, con el objetivo de reducir el riesgo de complicaciones futuras.…”

Section: Discussionunclassified

Estratificación del riesgo de pie diabético en adultos mayores con deterioro cognitivo

Gallo¹,

M²

2022

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INTRODUCCIÓN: La diabetes mellitus (DM) tipo 2 representa un grave problema sanitario ysocioeconómico, 50% de las personas no tiene diagnóstico, incrementando las complicaciones quesubyacen en esta patología, ya que 25% desarrollarán úlcera de pie diabético (PD). Además, DM predisponea un deterioro cognitivo (DC) siendo un factor relevante en pacientes con PD impidiendo el correctocuidado personal.OBJETIVO: Examinar si el perfil cognitivo en pacientes con diabetes tiene relación con la severidad delesiones en PD.MATERIAL Y METODO: Estudio retrospectivo, observacional y analítico sobre 100 pacientes atendidosen centro de jubilados “Las Palmas” enero 2018/enero 2019 que cumplieron los criterios de inclusión.Variables analizadas: Determinación en sangre de glucosa y hemoglobina glicosilada (HbA1c). Grado delesión PD según escala de Texas.Valoración de lesión vascular periférica de miembros inferiores mediante ecodoppler. Evaluación de DCutilizando Mini-Mental. Estadística: Variables no paramétricas se analizaron utilizando Chi-cuadrado oIrwin Fisher y variables paramétricas con ANAVA, significación p<0.05.RESULTADOS: Verificamos que las lesiones más frecuentes fueron estadio AI (33%) y estadio B0 (28%),mostrando significancia con estadio A0 (17%) y AII (12%)(p:0.01). Conjuntamente, tanto estadio AI comoB0 mostraron mayor porcentaje significativo de lesiones contrastado con estadios AIII (3%), estadio C0(6%) y estadio D0 (1%)(p:0.001). El análisis de ecodoppler mostró (26%) de los pacientes registraron ondastrifásicas (14%) pertenecientes al estadio A0 de PD. La morfología de onda bifásica fue la más prevalente(53%) de pacientes (p:0.001), de los cuales (26%) fueron estadio AI de PD, (15%) estadio B0 y fuesignificativa la diferencia respecto a AII (7%)(p:0.001). El (21%) de pacientes registraron ondasmonofásicas, evidenciado con mayor frecuencia en los estadios con lesiones C0 (6%) y D0 (1%). Losincrementos de glucosa y HbA1c analizados mostraron relación significativa con la acentuación de lesiónde PD. En relación con estadios de lesión de PD y puntaje obtenido en Mini-Mental, en los pacientesvalorados como DC leve a normal (26,82±2,27) encontramos porcentaje de estadio A0, AI y AII. En lospacientes con DC moderado a grave encontramos un porcentaje de estadio AII con puntaje (24,97±2,12) yAIII (23,67±1,15) ambos significativos (p:0.01). Además, B0 expuso un puntaje (24,25±1,51) significativorespecto A0 y AI (p:0.01), C0 con puntaje (22,5±2,59) verifico significancia con todos los estadios A y B(p:0.001). En D0 el resultado de Mini-Mental fue de 17 puntos demostrando una funcionalidad cognitivadeteriorada mostrando significancia en los estadios de lesión PD A, B y C (p:0.001 respectivamente). Larelación entre estadios de deterioro cognitivo puntuados y niveles de HbA1c verificó un coeficiente de correlación (r=-0,56) demostrando una buena relación 4 inversa entre ambas variables. Un mal controlmetabólico de HbA1c y glucemia deterioran el nivel cognitivo.CONCLUSIONES: el DC en los pacientes con DM tipo 2 provoca una disminución en el autocuidado delesiones PD teniendo relación directa con la severidad de las lesiones. Los pacientes con nivelesincrementados de glucosa y HbA1c expusieron estadios de lesión de PD más severos y registrosmonofásicos en la valoración ecodoppler. Niveles elevados de HbA1c se relacionó con bajo puntaje en lavaloración cognitiva. El desarrollo de estrategias de identificación temprana de la progresión del DC nodiagnosticado en sujetos vulnerables es de gran importancia clínica y debería ser resuelto lo antes posible.

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“…Another prospective study carried out by Marneras et al (2020), revealed that patients with DM2 have cognitive deficits in several domains with a significant impact on QVRS, compared to healthy participants. On the other hand, Vincent and Hall (2015) in a meta-analytical review presents results that indicate a small but reliable association between DM2 and decreases in EFs, both in verbal fluency, mental flexibility, inhibition, working memory, and attention.…”

Section: Association Dm2 Efs and Dementia In The Elderlymentioning

confidence: 99%

Neuropsychological Understanding of Executive Functions and Dementia in Elderly With Diabetes Mellitus Type 2

Dias,

Longoni,

Rojas

et al. 2023

JBNS

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Introduction: Executive Functions (Fes) and Dementia in the elderly with Type 2 Diabetes Mellitus (DM2) are important public health issues in the world because they are directly linked to the quality of life, independence, ability to plan activities of daily living, social relationships and leisure of these individuals, although it needs more studies. Aim: to describe and analyze scientific articles on the relationship between EFs and Dementia in elderly people with DM2, point out evidence, and promote in-depth and useful information about the implications, mechanisms, and results of DM2 in aging and worsening of EF deficits and dementia. Methods: A bibliographic search was carried out in databases such as PubMed, Lilacs, Scielo, and Scopus, using keywords, "dementia", "type 2 diabetes mellitus" "Executive Functions" and "Neuropsychology". Articles in English and Portuguese were used, without determining publication period, containing data on the author(s) and year, type of study and sample, objective(s), and main results. Results: DM2 impairs EFs in elderly people and contributes to the progression of Dementia. This neuropsychological dysfunction affects neurocognitive, sensorimotor, behavioral, emotional, and social skills. Conclusion: There is a significant relationship between EF deficits and dementia in the elderly with DM2. More studies are needed to elucidate such relationships. Early interventions are suggested to delay the onset and control of DM2, to prevent some of its adverse effects on EFs and worsening of dementia. Neuropsychological diagnosis of EFs in the elderly with DM2 is indicated to propose neuropsychological rehabilitation and better quality of life in these patients.

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Quality of Life in Type 2 Diabetes Mellitus Patients with Neuropsychological Deficits

Cited by 4 publications

References 40 publications

Trajectories of quality of life in people with diabetes mellitus: results from the survey of health, ageing and retirement in Europe

Trajectories of quality of life in people with diabetes mellitus: results from the survey of health, ageing and retirement in Europe

Estratificación del riesgo de pie diabético en adultos mayores con deterioro cognitivo

Neuropsychological Understanding of Executive Functions and Dementia in Elderly With Diabetes Mellitus Type 2

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