Health Beliefs and Regimen Adherence in Minority Adolescents with Type 1 Diabetes

Patino, Anna Maria; Sanchez, Janine; Eidson, Margaret; Delamater, Alan M.

doi:10.1093/jpepsy/jsi075

Cited by 68 publications

(61 citation statements)

References 18 publications

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“…being male) predicted lower adherence to diabetes self-care and higher quality of life. An association between gender and low adherence to diabetes, in adolescents girls, particularly regarding exercise, has been found in the literature (Patino et al, 2005). Girls with diabetes show lower quality of life than boys because they seemed to worry more regarding their illness (Grey et al, 1998;Rocha, 2010;Hoey et al, 2001).…”

Section: Discussionmentioning

confidence: 94%

“…Beliefs in the effectiveness of treatment (control over the illness) were found to predict adherence to dietary self-care (Delamater, 2009). When the benefits, compared to costs of following the diabetes regimen were considered lower, diabetes was perceived as a less threatening disease and adherence to self care in diabetes , as a result, was poor (Patino et al, 2005). Higher family perception of diabetes' duration, as an illness, predicted higher adherence of adolescents to diabetes self-care.…”

Section: Discussionmentioning

confidence: 99%

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Predictors of Adherence, Metabolic Control and Quality of Life in Adolescents with Type 1 Diabetes

Pereira¹,

Almeida²,

Rocha³

et al. 2011

Type 1 Diabetes - Complications, Pathogenesis, and Alternative Treatments

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Section: Discussionmentioning

confidence: 94%

Section: Discussionmentioning

confidence: 99%

Predictors of Adherence, Metabolic Control and Quality of Life in Adolescents with Type 1 Diabetes

Pereira¹,

Almeida²,

Rocha³

et al. 2011

Type 1 Diabetes - Complications, Pathogenesis, and Alternative Treatments

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“…46 The HBM findings are mixed. 9,29,47 Some researchers describe the importance of this model in understanding youth's health locus of control and how it may produce better health outcomes. 47 Others do not find the HBM to be adequate as it does not take into account other potentially influential psychosocial factors, 9 and it has not been predictive of diabetes adherence.…”

Section: Communitymentioning

confidence: 99%

“…47 Others do not find the HBM to be adequate as it does not take into account other potentially influential psychosocial factors, 9 and it has not been predictive of diabetes adherence. 29 The use of compensatory beliefs, or rationalizing that the negative effects of one behavior (e.g., not doing BGM) can be counteracted by other compensatory behaviors (e.g., skipping breakfast), have also been examined. These maladaptive convictions are hypothesized to alleviate any mental conflict over engaging in behaviors that are at odds with one's diabetes regimen recommendations, and they have been shown to be predictive of poorer BGM adherence in youth with type 1 diabetes.…”

Section: Communitymentioning

confidence: 99%

“…Some researchers suggest that youth with a longer duration of diagnosis feel more comfortable with BGM and are more at ease with doing their diabetes care in public, 29 while other studies have found that longer duration of diabetes is related to lower self-reported adherence rates 27,30 and diabetes 'burnout'. 31 Researchers have looked at the interrelationships of multiple variables that may also impact the association between length of time since diagnosis and adherence.…”

mentioning

confidence: 99%

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Behavioral Factors Influencing Health Outcomes in Youth with Type 1 Diabetes

Kichler¹,

Moss²,

Kaugars³

2012

US Endocrinology

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Adherence to medical regimen is often identified as a hallmark modifiable factor that impacts health outcomes for those with chronic medical illnesses. Rapoff suggests that adherence to medical regimens is estimated to be between 50-55 % for all chronically ill patients. 1 He describes a number of patient and family (e.g., demographic, adjustment/coping, family involvement), disease-and regimen-related correlates to adherence; however, correlates do not imply causation and should be interpreted cautiously.1 Researchers have rated non-adherence rates to be between 20 to 93 % 1-3 for youth with type 1 diabetes and have found that adherence is widely accepted as related to diabetes control. 4In a recent review article, Modi et al. make a distinction between two constructs: self-management (i.e., the interactions of health behaviors and related processes that patients and families engage in to carefor chronic medical conditions) and adherence (i.e., the extent to which a person's behavior coincides with medical or health advice). 5 In their Pediatric Self-Management Model, self-management influences adherence, which then affects outcomes, including health outcomes. The authors also suggest that there may be certain self-management factors that impact outcomes without the mediating role of adherence in pediatric conditions. 5This present review article will focus on the first two of three stages in the Pediatric Self-Management Model, self-management and adherence, to discuss the behavioral factors that may influence health outcomes for youth with type 1 diabetes during adolescence (see Figure 1). Findings from individual, family, peer, and group therapy interventions that have targeted these behavioral factors in order to improve health outcomes will then be outlined. Self-managementModi et al. describe the construct of self-management as having three components. 5 The first component is self-management behaviors, which are the actual behaviors performed by the youth and/or family in order to care for a chronic medical illness. Secondly, there are contextual variables, which are four systems that impact how the self-management behaviors occur. These include individual, family, community, and healthcare domains. Finally, there are processes that link the self-management behaviors with the contextual systems.These processes include individuals' cognitive, emotional, and social perceptions. Three components of self-management, self-management behaviors, contextual variables, and processes as they relate to youth with type 1 diabetes, will be reviewed below (see Table 1). Self-management BehaviorsSelf-management behaviors, defined as examples of the 'neutral'behaviors that are employed to help manage a chronic medical illness, have been widely examined in youth with type 1 diabetes.Some examples of self-management behaviors that researchers have repeatedly identified as relevant to the management of diabetes are parental involvement and collaboration, the division of diabetes responsibility in the family and subsequent ...

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Demographic and personal factors associated with metabolic control and self‐care in youth with type 1 diabetes: a systematic review

Neylon

O’Connell

Skinner

et al. 2013

Diabetes Metabolism Res

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Optimal use of recent technological advances in insulin delivery and glucose monitoring remain limited by the impact of behaviour on self-care. In recent years, there has been a resurgence of interest in psychosocial methods of optimizing care in youth with type 1 diabetes. We therefore sought to examine the literature for demographic, interpersonal and intrapersonal correlates of self-care and/or metabolic control. Studies for this systematic review were obtained via an electronic search of Medline, Embase, Cumulative Index to Nursing and Allied Health Literature and PsycINFO databases. Seventy studies fulfilled the inclusion criteria. These studies have indicated that identifiable individual characteristics in each domain are robustly associated with metabolic control and/or self-care in children and adolescents. We present these characteristics and propose a theoretical model of their interactions and effect on diabetes outcomes. There is currently no consensus regarding patient selection for insulin pump therapy. In this era of scarce healthcare resources, it may be prudent to identify youth requiring increased psychosocial support prior to regimen intensification. The importance of this review lies in its potential to create a framework for rationally utilizing resources by stratifying costly therapeutic options to those who, in the first instance, will be most likely to benefit from them.

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Health Beliefs and Regimen Adherence in Minority Adolescents with Type 1 Diabetes

Cited by 68 publications

References 18 publications

Predictors of Adherence, Metabolic Control and Quality of Life in Adolescents with Type 1 Diabetes

Predictors of Adherence, Metabolic Control and Quality of Life in Adolescents with Type 1 Diabetes

Behavioral Factors Influencing Health Outcomes in Youth with Type 1 Diabetes

Demographic and personal factors associated with metabolic control and self‐care in youth with type 1 diabetes: a systematic review

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