Adherence to treatment and social support in patients with non-insulin dependent diabetes mellitus

Garay‐Sevilla, Ma. Eugenia; Nava, Laura E; Malacara, Juan Manuel; Huerta, Raquel Piqué i; Leon, J.M. Ponce de; Mena, A Espinosa De Los Monteros; Fajardo, Martha Eugenia

doi:10.1016/1056-8727(94)00021-f

Cited by 163 publications

(137 citation statements)

References 14 publications

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“…These findings were similar to other studies findings. (22,23) In contrast, the World Health Organization shows that diabetic patients with longer time of diagnosis tend to have lower rates of adherence to treatment.…”

Section: Discussionmentioning

confidence: 97%

Fatores associados à adesão ao tratamento de pacientes com diabetes mellitus

et al. 2013

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Objective: Investigating the association between adherence to treatment of type 2 diabetes mellitus and sociodemographic, clinical and metabolic control variables. Methods: Cross-sectional study with 423 patients with diabetes mellitus. The Fisher's exact test and logistic regression models were used to investigate the association between adherence to treatment and the studied variables.Results: There was no association between adherence to treatment of T2DM and socio-demographic and clinical variables. It was found that total cholesterol and HbA1c were significantly associated with adherence to diet (p = 0.036) and exercise (p = 0.006). Conclusion: The chance of a patient with cholesterol within the recommended level adhering to diet is almost five times the chance of the patient in poor lipid control. The chance of patients with poor glycemic control adhering to exercise is almost twice the chance of those who keep adequate glycemic control. ResumoObjetivo: Investigar associação entre adesão ao tratamento do diabetes mellitus tipo 2 e variáveis sociodemográficas, clínicas e controle metabólico. Métodos: Desenho cross seccional com 423 portadores de diabetes mellitus. Para verificar a associação entre adesão ao tratamento e as variáveis estudadas, utilizou-se teste exato de Fisher e modelos de regressão logística. Resultados: Não houve associação entre adesão ao tratamento do DM2 e variáveis sociodemográficas e clínicas. Verificou-se que o colesterol total e a HbA1c apresentaram associação estatisticamente significativa com a adesão ao plano alimentar (p = 0.036) e de exercício físico (p = 0.006). Conclusão: A chance do paciente com colesterol dentro do valor recomendado apresentar adesão ao plano alimentar é quase cinco vezes a chance do paciente em mau controle lipídico. A chance dos pacientes com mau controle glicêmico apresentarem adesão ao exercício físico é quase duas vezes a chance daquele sem controle adequado da glicemia.

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Section: Discussionmentioning

confidence: 97%

Fatores associados à adesão ao tratamento de pacientes com diabetes mellitus

et al. 2013

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“…These findings are consistent with studies that demonstrate the importance of social networks for patients with diabetes, particularly for those in underserved communities. 32,33 It may be useful for clinicians to assess social support at the time of diagnosis. This can be achieved using a tool such as the Social Network Map 34 that prompts patients to describe and discuss the quality and scope of their social support system.…”

Section: Discussionmentioning

confidence: 99%

Keys to Successful Diabetes Self-management for Uninsured Patients: Social Support, Observational Learning, and Turning Points: A Safety Net Providers' Strategic Alliance Study

Madden

Tomsik

Terchek

et al. 2011

Journal of the National Medical Association

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Objective To determine how medically uninsured patients with limited material resources successfully manage diabetes. Methods Clinicians at 5 safety net practices enrolled uninsured adult patients (N=26) with prior diagnosis of diabetes for 6 months or longer. Patients were interviewed about enabling factors, motivations, resources, and barriers. Chart reviews and clinician surveys supplemented interview data. Interview, survey, and chart review data were analyzed and findings were summarized. Results Two distinct groups of patients were investigated: 1) “successful,” defined as those with an HbA1c of ≤7% or a recent improvement of at least 2% (n=17); and 2) “unsuccessful,” defined as patients with HbA1c of ≥9% (n=9) without recent improvement. In comparison to unsuccessful patients, successful patients more often reported having friends or family with diabetes, sought information about the disease, used evidence-based self-management strategies, held an accurate perception of their own disease control, and experienced “turning point” events that motivated increased efforts in disease management. Conclusions Uninsured safety net patients who successfully managed diabetes learned from friends and family with diabetes and leveraged disease-related events into motivational turning points. It may be beneficial for clinicians to incorporate social learning and motivational enhancement into diabetes interventions to increase patients’ motivation for improved levels of self-management.

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“…There are many studies in which better illness adaptation and HRQoL have been related to greater family support and/or less family conflict (11)(12)(13)(14)(15). The influence of marital support has been shown to be significant for couples coping with other illnesses (16,17) and similarly may be particularly significant for couples in which one partner has diabetes, as the diabetes care regimen (e.g., food purchase and preparation, medication administration, and exercise involvement) often involves the spouse (16).…”

mentioning

confidence: 99%

A Prospective Analysis of Marital Relationship Factors and Quality of Life in Diabetes

Wade²,

et al. 2002

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OBJECTIVE -To prospectively assess the relation between marital relationship domains (i.e., intimacy and adjustment) and health-related quality of life (HRQoL) and glycemic control of individuals with diabetes.RESEARCH DESIGN AND METHODS -A previous cross-sectional study assessed the relationship between marital quality and adaptation to diabetes for 78 insulin-treated adults. Each participant completed two marital quality measures (Spanier Dyadic Adjustment Scale and Personal Assessment of Intimacy in Relationships Scale) at time 1 (T1). A total of 61 subjects were contacted two years later (time 2 [T2]) and re-administered four HRQoL measures (Diabetes Quality of Life Scale, Medical Outcomes Study Health Survey-SF36, Problem Areas in Diabetes Scale, and Positive and Negative Affect Schedule). Glycemic control was assessed by HbA 1c . Demographic data (age, sex, type and duration of diabetes, years married, other medical problems, family history, and years of education) were gathered from charts and questionnaires. Linear regression analyses were used to assess the ability of the two marital measures at T1 to predict HRQoL at T2, controlling for confounding HRQoL and baseline subject variables.RESULTS -Both of the marital quality measures at T1 were prospective predictors of aspects of HRQoL at T2. Less diabetes-related distress at T2 was predicted by better marital adjustment at T1. Greater satisfaction with aspects of the diabetes care regimen at T2 was predicted by better marital adjustment and greater perceived marital intimacy at T1. Neither marital measure predicted general HRQoL or glycemic control.CONCLUSIONS -For insulin-treated adults with diabetes, quality of marriage prospectively predicts diabetes-related quality of life. This study highlights the sensitivity of diabetesspecific measures. Future work should explore the value of interventions that target the spouse and/or couple.

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Adherence to treatment and social support in patients with non-insulin dependent diabetes mellitus

Cited by 163 publications

References 14 publications

Fatores associados à adesão ao tratamento de pacientes com diabetes mellitus

Fatores associados à adesão ao tratamento de pacientes com diabetes mellitus

Keys to Successful Diabetes Self-management for Uninsured Patients: Social Support, Observational Learning, and Turning Points: A Safety Net Providers' Strategic Alliance Study

A Prospective Analysis of Marital Relationship Factors and Quality of Life in Diabetes

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