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Dive into the research topics where Rachel J. Burns is active.

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Featured researches published by Rachel J. Burns.


Annals of Behavioral Medicine | 2012

A theoretically grounded systematic review of material incentives for weight loss: implications for interventions

Rachel J. Burns; Angela S. Donovan; Ronald T. Ackermann; Emily A. Finch; Alexander J. Rothman; Robert W. Jeffery

BackgroundProviding material incentives for weight loss is a class of intervention strategies that has received considerable attention; however, the effectiveness of this class of strategies is uncertain. Attending to distinctions among incentive strategies may clarify our understanding of prior work and inform the design of future interventions.PurposeA theoretical framework is proposed that distinguishes between four classes of incentive strategies and is used to organize randomized controlled trials of material incentives for weight loss.MethodsA systematic literature review was conducted.ResultsFindings were mixed with regards to the overall efficacy of material incentives for weight loss. Three of the four proposed incentive categories are represented in the literature. Heterogeneous methods were used across studies rendering comparisons between studies difficult.ConclusionsDefinitive conclusions about the usefulness of material incentives for weight loss could not be drawn. A theoretically grounded approach to designing and testing incentive strategies is encouraged.


Journal of Psychosomatic Research | 2015

Associations between diabetes, major depressive disorder and generalized anxiety disorder comorbidity, and disability: findings from the 2012 Canadian Community Health Survey--Mental Health (CCHS-MH).

Sonya S. Deschênes; Rachel J. Burns; Norbert Schmitz

OBJECTIVE To examine the associations between diabetes, disability, and the likelihood of comorbid major depressive disorder (MDD) and generalized anxiety disorder (GAD). METHODS Data were obtained from the 2012 Canadian Community Health Survey - Mental Health (N=17 623). Diabetes assessment consisted of a self-reported diagnosis of diabetes made by a health care professional. Disability was assessed via self-report. 12-Month and lifetime MDD and GAD were assessed with the Composite International Diagnostic Interview 3.0. RESULTS In multinomial logistic regression models adjusted for sociodemographic and health-related factors, having diabetes was associated with a greater likelihood of 12-month comorbid MDD and GAD (OR=1.99, 95% CI [1.22, 3.25], p=.006), compared with those with neither MDD nor GAD. No significant associations were found for MDD without GAD or GAD without MDD. This pattern of effects held when lifetime diagnoses of MDD and GAD were considered. For individuals with diabetes (n=1730), adjusted binary logistic regression models demonstrated that with 12-month diagnoses, MDD without GAD (OR=2.79, 95% CI [1.39-5.62], p=.004), GAD without MDD (OR=3.69, 95% CI [1.34-10.11], p=.01), and comorbid MDD and GAD (OR=4.17, 95% CI [1.66-10.51], p=.002) were associated with greater disability than the control group. Only comorbid MDD and GAD were associated with disability when lifetime diagnoses of MDD and GAD were considered. CONCLUSIONS Individuals with diabetes may be particularly vulnerable to comorbid MDD and GAD, and MDD-GAD comorbidity may exacerbate disability in persons with diabetes.


Diabetic Medicine | 2015

Cyclical relationship between depressive symptoms and diabetes distress in people with Type 2 diabetes mellitus: results from the Montreal Evaluation of Diabetes Treatment Cohort Study

Rachel J. Burns; Sonya S. Deschênes; Norbert Schmitz

To determine if longitudinal cyclical relationships exist between depressive symptoms and diabetes distress in people with Type 2 diabetes mellitus.


Molecular Psychiatry | 2016

Depression and risk of type 2 diabetes: the potential role of metabolic factors

Norbert Schmitz; Sonya S. Deschênes; Rachel J. Burns; Kimberley J. Smith; Alain Lesage; Irene Strychar; Rémi Rabasa-Lhoret; Cassandra Freitas; Eva Graham; P Awadalla; JianLi Wang

The aim of the present study was to evaluate the interaction between depressive symptoms and metabolic dysregulations as risk factors for type 2 diabetes. The sample comprised of 2525 adults who participated in a baseline and a follow-up assessment over a 4.5-year period in the Emotional Health and Wellbeing Study (EMHS) in Quebec, Canada. A two-way stratified sampling design was used, on the basis of the presence of depressive symptoms and metabolic dysregulation (obesity, elevated blood sugar, high blood pressure, high levels of triglycerides and decreased high-density lipoprotein). A total of 87 (3.5%) individuals developed diabetes. Participants with both depressive symptoms and metabolic dysregulation had the highest risk of diabetes (adjusted odds ratio=6.61, 95% confidence interval (CI): 4.86–9.01), compared with those without depressive symptoms and metabolic dysregulation (reference group). The risk of diabetes in individuals with depressive symptoms and without metabolic dysregulation did not differ from the reference group (adjusted odds ratio=1.28, 95% CI: 0.81–2.03), whereas the adjusted odds ratio for those with metabolic dysregulation and without depressive symptoms was 4.40 (95% CI: 3.42–5.67). The Synergy Index (SI=1.52; 95% CI: 1.07–2.17) suggested that the combined effect of depressive symptoms and metabolic dysregulation was greater than the sum of individual effects. An interaction between depression and metabolic dysregulation was also suggested by a structural equation model. Our study highlights the interaction between depressive symptoms and metabolic dysregulation as a risk factor for type 2 diabetes. Early identification, monitoring and a comprehensive management approach of both conditions might be an important diabetes prevention strategy.


Journal of Affective Disorders | 2015

Exploring trajectories of diabetes distress in adults with type 2 diabetes; a latent class growth modeling approach.

Carla Lipscombe; Rachel J. Burns; Norbert Schmitz

BACKGROUND Moderate to severe diabetes distress (DD) is a common comorbidity among adults with type 2 diabetes. Cross-sectional studies find DD is strongly correlated with poor diabetes management, however little is known about the pattern of change of DD symptoms over long periods of time. We sought to identify and describe a set of distinct longitudinal trajectories of DD over 4 years of follow-up time. METHODS We used data derived from the Evaluation of Diabetes Treatment study (2011-2014), a longitudinal community-based survey of Canadian adults (40-75 years) with type 2 diabetes (n=1135). To determine the number and shape of trajectories, we used a latent class growth modeling approach. RESULTS Five distinct trajectories of DD were identified. Trajectories 1 and 2 comprised participants with persistently low (61%) or persistently low, but at risk (22%) levels of distress. Trajectory 3 (7.5%) included participants with decreasing moderate levels of distress. Trajectory 4 (6.5%) consisted of participants with increasing moderate levels of distress. Trajectory 5 (2.4%) included participants with persistently severe levels of distress. LIMITATIONS Different populations may produce different DD trajectories and thus the generalizability of the strata identified in this report remains to be investigated. Future research is needed to determine the extent to which time-varying covariates might alter the path of DD trajectories. CONCLUSIONS For most individuals, DD is a fairly stable condition over 4 years of follow-up time. However, for a subset of individuals, DD symptoms worsened over time. Medical health professionals might consider repeated screenings for DD in adults with type 2 diabetes.


Journal of Diabetes | 2016

Anxiety Symptoms and Functioning in a Community Sample of Individuals with Type 2 Diabetes: A Longitudinal Study

Sonya S. Deschênes; Rachel J. Burns; Norbert Schmitz

Type 2 diabetes (T2D) is associated with limitations in day‐to‐day functioning and with symptoms of anxiety. Although cross‐sectional associations between anxiety and functioning in individuals with T2D have been reported, the temporal dynamics of these associations are unclear. The present study examined the longitudinal cross‐lagged associations between anxiety symptoms and functioning in a community sample of individuals with T2D.


Journal of Affective Disorders | 2015

Associations between depression, chronic physical health conditions, and disability in a community sample: A focus on the persistence of depression

Sonya S. Deschênes; Rachel J. Burns; Norbert Schmitz

BACKGROUND Previous research has demonstrated that comorbid depression and chronic physical health conditions are associated with disability. The distinction between persistent and transient depression in the relationship between physical health conditions and disability, however, is poorly understood. The present study examined the interactive effects of major depressive disorder (MDD) and chronic physical health conditions on disability in a community sample; the effects of persistent or transient depression on disability were also examined. METHODS Participants were from the Epidemiological Catchment Area of Montreal South-West Study (total N=2202). Past 12-month MDD, chronic physical conditions, functional disability, and disability days experienced within the past month were concurrently assessed. A subsample (n=1226) was used to examine the persistence of depression across three waves of data collection over approximately six years. RESULTS Individuals with comorbid MDD and chronic physical health conditions were approximately thirteen times more likely to have moderate to severe functional disability and had the highest mean number of disability days compared to those without MDD or a chronic physical health condition. Persistent MDD was most strongly associated with functional disability and disability days, and persistence of MDD interacted with physical health conditions to increase likelihood of concurrent disability. LIMITATIONS Our study is limited by a single assessment point for disability and chronic health conditions and by the use of self-report. CONCLUSIONS Our findings suggest that MDD, particularly when persistent, is associated with disability among individuals with a broad range of chronic physical health conditions.


Journal of Psychosomatic Research | 2016

Prediabetes, depressive and anxiety symptoms, and risk of type 2 diabetes: A community-based cohort study

Sonya S. Deschênes; Rachel J. Burns; Eva Graham; Norbert Schmitz

OBJECTIVE To examine the potential synergistic associations between prediabetes, depressive and anxiety symptoms, and the risk of incident type 2 diabetes. METHODS Data were from the Emotional Well-Being, Metabolic Factors and Health Status (EMHS) study and included 2486 adults between 40 and 69years without diabetes at baseline. Hemoglobin A1c levels and measures of depressive and anxiety symptoms were collected at baseline and mutually exclusive groups were formed based on the presence/absence of prediabetes and high/low depressive and anxiety symptoms. A follow-up telephone interview conducted approximately 4.6years later inquired about new diabetes diagnoses. RESULTS 86 participants developed diabetes during the follow-up period. After accounting for sociodemographic, lifestyle, and metabolic characteristics, participants with prediabetes and elevated depressive symptoms had an increased risk of developing diabetes compared to those without prediabetes and with low depressive symptoms (OR=10.65, 95% CI=4.60, 24.66). The joint effect of prediabetes and depressive symptoms on diabetes risk was synergistic (Synergy Index=2.57, 95% CI=1.02, 6.49). Similar results were found for participants with prediabetes and high symptoms of anxiety (OR=8.95, 95% CI=3.54, 22.63), however the joint effect of prediabetes and anxiety symptoms did not significantly exceed additive risk after adjusting for covariates (Synergy Index=2.39, 95% CI=0.83, 6.87). CONCLUSION The combination of prediabetes and depressive or anxiety symptoms was associated with an increased risk of developing diabetes. This study underscores the importance of mental health in the progression from prediabetes to type 2 diabetes.


Psychological Medicine | 2016

Depressive symptoms and glycated hemoglobin A1c: A reciprocal relationship in a prospective cohort study

Norbert Schmitz; Sonya S. Deschênes; Rachel J. Burns; Kimberley J. Smith

BACKGROUND The aim of this study was to evaluate the dynamic association between depressive symptoms and glycated hemoglobin A1c (HbA1c) levels using data from the English Longitudinal Study of Ageing (ELSA). METHOD The sample was comprised of 2886 participants aged ⩾50 years who participated in three clinical assessments over an 8-year period (21% with prediabetes and 7% with diabetes at baseline). Structural equation models were used to address reciprocal associations between depressive symptoms and HbA1c levels and to evaluate the mediating effects of lifestyle-related behaviors and cardiometabolic factors. RESULTS We found a reciprocal association between depressive symptoms and HbA1c levels: depressive symptoms at one assessment point predicted HbA1c levels at the next assessment point (standardized β = 0.052) which in turn predicted depressive symptoms at the following assessment point (standardized β = 0.051). Mediation analysis suggested that both lifestyle-related behaviors and cardiometabolic factors might mediate the association between depressive symptoms and HbA1c levels: depressive symptoms at baseline predicted lifestyle-related behaviors and cardiometabolic factors at the next assessment, which in turn predicted HbA1c levels 4 years later. A similar association was observed for the other direction: HbA1c levels at baseline predicted lifestyle-related behaviors and cardiometabolic factors at the next assessment, which in turn predicted depressive symptoms 4 years later. CONCLUSIONS Our results suggest a dynamic relationship between depressive symptoms and HbA1c which might be mediated by both lifestyle and cardiometabolic factors. This has important implications for investigating the pathways which could link depressive symptoms and increased risk of diabetes.


PLOS ONE | 2016

Association between Depressive Symptoms and Cognitive Function in Persons with Diabetes Mellitus: A Systematic Review.

Sofia M. Danna; Eva Graham; Rachel J. Burns; Sonya S. Deschênes; Norbert Schmitz

Depression and diabetes are independent risk factors for one another, and both are associated with increased risk of cognitive decline. Diabetes patients with lower cognitive function are more likely to suffer poorer health outcomes. However, the role of depression in cognitive decline among people with diabetes is not well understood. This systematic review assessed whether adults with comorbid diabetes and depression or depressive symptoms exhibit greater cognitive decline relative to individuals with diabetes alone. Searches were run in CINAHL, the Cochrane Central Register of Controlled Trials, EMBASE, PsycINFO, and PubMed (MEDLINE) with no time or language restrictions. Studies were eligible for inclusion if they were of any quantitative study design, included participants aged 18 years or older with diabetes mellitus of which some must have presented with current depression, and measured cognition as an outcome. The Cochrane Collaboration’s Risk Of Bias In Non-randomized Studies–of Interventions tool was used for quality assessment of each study and its collected outcome. Fifteen articles were included in the final analysis. The high degree of heterogeneity in exposures, outcomes, and participant characteristics precluded a meta-analysis of any of the studies, and the risk of bias observed in these studies limits the strength of the evidence. Nonetheless, this review found the presence of comorbid depression was associated with poorer cognitive outcomes than for persons with diabetes alone. While large-scale preventive efforts must address epidemic levels of diabetes and its comorbidities, on the patient level healthcare professionals must be cognizant of the added difficulties that depression poses to patients and the extra support required to management diabetes in these cases. This systematic review is registered with the University of York Centre for Reviews and Dissemination under registration number 2015:CRD42015025122.

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Sonya S. Deschênes

Douglas Mental Health University Institute

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Mary Butler

University of Minnesota

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Rosalie A Kane

University of California

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