Implications of Psychosocial Factors for Diabetes Outcomes among Children with Type 1 Diabetes: A Review

Helgeson, Vicki S.; Palladino, Dianne K.

doi:10.1111/j.1751-9004.2011.00421.x

Cited by 27 publications

(20 citation statements)

References 92 publications

(117 reference statements)

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“…Whereas anxious attachment and neediness draw from a fear of abandonment and needing approval of others which may elicit behaviours that contribute to interpersonal stressors, unmitigated communion draws from being overinvolved in caring for others to the exclusion of oneself. Whereas anxious attachment and neediness are vulnerability factors for depression, unmitigated communion is predictive of poor health outcomes Helgeson & Palladino, 2011). While Helgeson et al (2015) demonstrated that unmitigated communion was related to increased support giving and interpersonal problems such as being overly nurturant, intrusive, and exploitable, unmitigated communion was not associated with dependent interpersonal stress or independent stress in the present study.…”

Section: Discussioncontrasting

confidence: 65%

“…Whereas anxious attachment and neediness are vulnerability factors for depression, unmitigated communion is predictive of poor health outcomes Helgeson & Palladino, 2011). Whereas anxious attachment and neediness draw from a fear of abandonment and needing approval of others which may elicit behaviours that contribute to interpersonal stressors, unmitigated communion draws from being overinvolved in caring for others to the exclusion of oneself.…”

Section: Discussionmentioning

confidence: 99%

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Interpersonal predictors of stress generation: Is there a super factor?

Shih

Barstead

Dianno

2017

British J of Psychology

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Hammen's (1991, Journal of Abnormal Psychology, 100, 555-561) seminal paper on stress generation highlighted the reciprocal relationship between stress and depression. Not only does stress predict depression, but women with a diagnosis of depression also experienced subsequent increased levels of stress. In the ensuing years, depression researchers have moved beyond clinical predictors and examined whether depression vulnerability factors also contribute to stress generation. This interest has led to a growing focus on interpersonal vulnerability factors that contribute to stress generation. To date, the research examining interpersonal predictors of stress generation has tended to examine vulnerability factors singly and thus potential overlap and unique predictions among vulnerability factors have not been determined. This study examines interpersonal vulnerability factors from various schools of thought (dependency, attachment, and unmitigated communion) as predictors of interpersonal stress generation. Three hundred and sixty-four young adults completed baseline measures of interpersonal vulnerabilities and provided weekly reports of depressive symptoms and stressful life events. Multilevel models were estimated to examine their unique predictions of interpersonal stress generation. Despite converging theories, there does not appear to be a single super factor. Of the interpersonal vulnerability factors tested, anxious attachment emerged as a consistent predictor of interpersonal stress generation both when examined singly and when in combination with related variables.

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Section: Discussioncontrasting

confidence: 65%

Section: Discussionmentioning

confidence: 99%

Interpersonal predictors of stress generation: Is there a super factor?

Shih

Barstead

Dianno

2017

British J of Psychology

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“…Most of the factors identified were consistent with previous studies that analysed average HbA 1c levels and included older age, female gender, ethnic minority status, longer diabetes duration, lower glucose monitoring frequency, fewer or missed clinical appointments, and insulin delivery via injection versus insulin pump as associated with poorer HbA 1c trajectories. Associations with several family environment and psychosocial variables reported in cross‐sectional studies were also demonstrated in the longitudinal trajectory studies. However, we also noticed that 4 studies reported nonsignificant associations of poor HbA 1c trajectories and some of the variables mentioned above including age, gender, ethnicity, disease duration, clinical appointment, insulin treatment, and self‐control, although the direction of association effect was consistent with other studies.…”

Section: Discussionmentioning

confidence: 53%

Longitudinal trends in HbA_1c patterns and association with outcomes: A systematic review

Luo

Tan

et al. 2018

Diabetes Metabolism Res

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BackgroundThis study aimed to review studies that identified patterns of longitudinal HbA1c trends in patients with diabetes and to summarize factors and outcomes associated with distinct trajectory patterns.MethodsPubMed and Web of Science were systematically searched for studies examining HbA1c trends among patients with diabetes from database inception through September 2017. Articles were included if they met the following inclusion criteria: (a) longitudinal study of subjects with diabetes only, (b) use of serial measurements of HbA1c, and (c) analysis of the trend of HbA1c using group‐based trajectory approaches.ResultsTwenty studies were included, 11 on type 1 diabetes and 9 on type 2 diabetes. These studies identified 2 to 6 HbA1c trajectory patterns. The most commonly identified patterns included stable HbA1c around 7.0% and at levels between 8.0% and 9.9%, which usually captured the HbA1c pattern among the majority of subjects in the study population. Unstable patterns identified included increasing HbA1c trend, decreasing HbA1c trend, and non‐linear patterns. These patterns were associated with differential risk of disease outcomes, over and beyond single‐point HbA1c measures. Age, gender, ethnicity, diabetes duration, disease management frequency, cardiovascular risk factors, insulin treatment, family environment, and psychosocial factors were the most frequently reported factors associated with membership of specific HbA1c pattern groups.ConclusionCommon patterns of longitudinal HbA1c trends were identified despite heterogeneity among the studies. A better understanding of what underlies these different patterns may provide opportunities to tailor therapies and care for these patients to reduce adverse outcomes.

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“…Relatively little is known about the specific distribution of trajectories of glycemic control among early adolescents with type 1 diabetes and the factors that predict them. Most studies have focused on description and prediction of average levels of glycemic control, often over limited periods (e.g., one year) (Butler et al, 2008; Drotar et al, 2013; Helgeson & Palladino, 2012; Ingerski, Anderson, Dolan, & Hood, 2010). …”

mentioning

confidence: 99%

Identification and prediction of group-based glycemic control trajectories during the transition to adolescence.

Rohan¹,

Rausch²,

Pendley³

et al. 2014

Health Psychology

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Objective To identify trajectories of glycemic control over a period of three years in a pediatric sample of youth diagnosed with type 1 diabetes transitioning to adolescence. A second aim was to examine a set of modifiable individual and family-level baseline predictors of glycemic control group membership. Methods This multisite, prospective study included 239 children and adolescents (ages 9–11 years at baseline) diagnosed with type 1 diabetes and their caregivers. Glycemic control was based on hemoglobin A1c (HbA1c) collected at six month intervals over a period of three years. Predictors of glycemic control membership included baseline global executive functioning, diabetes self-management, diabetes-specific family conflict, blood glucose monitoring frequency, and relevant individual and family level covariates. Results Group-based trajectory analyses were used to describe patterns of glycemic control from baseline to 36 months and three trajectories were identified: low risk (42.9%), elevated risk (44.6%), and high risk (12.1%) subgroups. Baseline maternal-reported family conflict, blood glucose monitoring frequency, and gender were significant predictors of glycemic control group membership. Higher levels of baseline family conflict, lower frequency of blood glucose monitoring, and female gender were associated with elevated and high risk group membership. Conclusions These findings underscore the importance of examining trajectories of HbA1c across time. These results suggest that problematic trajectories of glycemic control are evident during the transition to adolescence. Furthermore, there are modifiable individual and family-level characteristics that predict group membership and hence could be targeted in interventions to ensure adequate glycemic control is maintained over time and that risks for diabetes-related complications are reduced.

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Implications of Psychosocial Factors for Diabetes Outcomes among Children with Type 1 Diabetes: A Review

Cited by 27 publications

References 92 publications

Interpersonal predictors of stress generation: Is there a super factor?

Interpersonal predictors of stress generation: Is there a super factor?

Longitudinal trends in HbA_1c patterns and association with outcomes: A systematic review

Identification and prediction of group-based glycemic control trajectories during the transition to adolescence.

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Implications of Psychosocial Factors for Diabetes Outcomes among Children with Type 1 Diabetes: A Review

Cited by 27 publications

References 92 publications

Interpersonal predictors of stress generation: Is there a super factor?

Interpersonal predictors of stress generation: Is there a super factor?

Longitudinal trends in HbA1c patterns and association with outcomes: A systematic review

Identification and prediction of group-based glycemic control trajectories during the transition to adolescence.

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Longitudinal trends in HbA_1c patterns and association with outcomes: A systematic review