Flexible Lifestyles for Youth (FL3X) behavioural intervention for at-risk adolescents with Type 1 diabetes: a randomized pilot and feasibility trial

Pre-exercise protein intake is associated with reduced time in hypoglycaemia among adolescents with type 1 diabetes

AIM

Secondary analyses were conducted from a randomized trial of an adaptive behavioural intervention to assess the relationship between protein intake (g and g/kg) consumed within 4 h before moderate-to-vigorous physical activity (MVPA) bouts and glycaemia during and following MVPA bouts among adolescents with type 1 diabetes (T1D).

MATERIALS AND METHODS

Adolescents (n = 112) with T1D, 14.5 (13.8, 15.7) years of age and 36.6% overweight/obese, provided measures of glycaemia using continuous glucose monitoring [percentage of time above range (>180 mg/dl), time in range (70-180 mg/dl), time below range (TBR; <70 mg/dl)], self-reported physical activity (previous day physical activity recalls), and 24 h dietary recall data at baseline and 6 months post-intervention. Mixed effects regression models adjusted for design (randomization assignment, study site), demographic, clinical, anthropometric, dietary, physical activity and timing covariates estimated the association between pre-exercise protein intake on percentage of time above range, time in range and TBR during and following MVPA.

RESULTS

Pre-exercise protein intakes of 10-19.9 g and >20 g were associated with an absolute reduction of -4.41% (p = .04) and -4.83% (p = .02) TBR during physical activity compared with those who did not consume protein before MVPA. Similarly, relative protein intakes of 0.125-0.249 g/kg and ≥0.25 g/kg were associated with -5.38% (p = .01) and -4.32% (p = .03) absolute reductions in TBR during physical activity. We did not observe a significant association between protein intake and measures of glycaemia following bouts of MVPA.

CONCLUSIONS

Among adolescents with T1D, a dose of ≥10 g or ≥0.125 g/kg of protein within 4 h before MVPA may promote reduced time in hypoglycaemia during, but not following, physical activity.

Design of the advancing care for type 1 diabetes and obesity network energy metabolism and sequential multiple assignment randomized trial nutrition pilot studies: An integrated approach to develop weight management solutions for individuals with type 1 diabetes

Young adults with type 1 diabetes (T1D) often have difficulty co-managing weight and glycemia. The prevalence of overweight and obesity among individuals with T1D now parallels that of the general population and contributes to dyslipidemia, insulin resistance, and risk for cardiovascular disease. There is a compelling need to develop a program of research designed to optimize two key outcomes-weight management and glycemia-and to address the underlying metabolic processes and behavioral challenges unique to people with T1D. For an intervention addressing these dual outcomes to be effective, it must be appropriate to the unique metabolic phenotype of T1D, and to biological and behavioral responses to glycemia (including hypoglycemia) that relate to weight management. The intervention must also be safe, feasible, and accepted by young adults with T1D. In 2015, we established a consortium called ACT1ON: Advancing Care for Type 1 Diabetes and Obesity Network, a transdisciplinary team of scientists at multiple institutions. The ACT1ON consortium designed a multi-phase study which, in parallel, evaluated the mechanistic aspects of the unique metabolism and energy requirements of individuals with T1D, alongside a rigorous adaptive behavioral intervention to simultaneously facilitate weight management while optimizing glycemia. This manuscript describes the design of our integrative study-comprised of an inpatient mechanistic phase and an outpatient behavioral phase-to generate metabolic, behavioral, feasibility, and acceptability data to support a future, fully powered sequential, multiple assignment, randomized trial to evaluate the best approaches to prevent and treat obesity while co-managing glycemia in people with T1D. Clinicaltrials.gov identifiers: NCT03651622 and NCT03379792. The present study references can be found here: https://clinicaltrials.gov/ct2/show/NCT03651622 https://clinicaltrials.gov/ct2/show/NCT03379792?term=NCT03379792&draw=2&rank=1 Submission Category: "Study Design, Statistical Design, Study Protocols".

Featured Article: Trajectories of Glycemic Control Over Adolescence and Emerging Adulthood: An 11-Year Longitudinal Study of Youth With Type 1 Diabetes

Objective

To identify trajectories of glycemic control over adolescence and emerging adulthood and to test whether demographic and psychosocial variables distinguished these trajectories.

Methods

We enrolled 132 youth with type 1 diabetes when they were average age 12 and followed them for 11 years. We used group-based trajectory modeling to identify distinct patterns of glycemic control, and examined whether age 12 demographic and psychosocial variables distinguished the subsequent trajectories.

Results

We identified 5 trajectories of glycemic control: stable on target, stable above target, volatile late peak, stable high, and inverted U. Parent social status and household structure distinguished the more problematic trajectories from the stable on target group. Friend conflict, psychological distress, unmitigated communion, and self-care behavior at age 12 distinguished problematic glycemic control trajectories from the stable on target group.

Conclusions

These results can be used to identify youth who are at risk for deteriorating glycemic control over adolescence.

Psychological interventions for parents of children and adolescents with chronic illness

BACKGROUND

Psychological therapies for parents of children and adolescents with chronic illness aim to improve parenting behavior and mental health, child functioning (behavior/disability, mental health, and medical symptoms), and family functioning.This is an updated version of the original Cochrane Review (2012) which was first updated in 2015.

OBJECTIVES

To evaluate the efficacy and adverse events of psychological therapies for parents of children and adolescents with a chronic illness.

SEARCH METHODS

We searched CENTRAL, MEDLINE, Embase, PsycINFO, and trials registries for studies published up to July 2018.

SELECTION CRITERIA

Included studies were randomized controlled trials (RCTs) of psychological interventions for parents of children and adolescents with a chronic illness. In this update we included studies with more than 20 participants per arm. In this update, we included interventions that combined psychological and pharmacological treatments. We included comparison groups that received either non-psychological treatment (e.g. psychoeducation), treatment as usual (e.g. standard medical care without added psychological therapy), or wait-list.

DATA COLLECTION AND ANALYSIS

We extracted study characteristics and outcomes post-treatment and at first available follow-up. Primary outcomes were parenting behavior and parent mental health. Secondary outcomes were child behavior/disability, child mental health, child medical symptoms, and family functioning. We pooled data using the standardized mean difference (SMD) and a random-effects model, and evaluated outcomes by medical condition and by therapy type. We assessed risk of bias per Cochrane guidance and quality of evidence using GRADE.

MAIN RESULTS

We added 21 new studies. We removed 23 studies from the previous update that no longer met our inclusion criteria. There are now 44 RCTs, including 4697 participants post-treatment. Studies included children with asthma (4), cancer (7), chronic pain (13), diabetes (15), inflammatory bowel disease (2), skin diseases (1), and traumatic brain injury (3). Therapy types included cognitive-behavioural therapy (CBT; 21), family therapy (4), motivational interviewing (3), multisystemic therapy (4), and problem-solving therapy (PST; 12). We rated risk of bias as low or unclear for most domains, except selective reporting bias, which we rated high for 19 studies due to incomplete outcome reporting. Evidence quality ranged from very low to moderate. We downgraded evidence due to high heterogeneity, imprecision, and publication bias.Evaluation of parent outcomes by medical conditionPsychological therapies may improve parenting behavior (e.g. maladaptive or solicitous behaviors; lower scores are better) in children with cancer post-treatment and follow-up (SMD -0.28, 95% confidence interval (CI) -0.43 to -0.13; participants = 664; studies = 3; SMD -0.21, 95% CI -0.37 to -0.05; participants = 625; studies = 3; I² = 0%, respectively, low-quality evidence), chronic pain post-treatment and follow-up (SMD -0.29, 95% CI -0.47 to -0.10; participants = 755; studies = 6; SMD -0.35, 95% CI -0.50 to -0.20; participants = 678; studies = 5, respectively, moderate-quality evidence), diabetes post-treatment (SMD -1.39, 95% CI -2.41 to -0.38; participants = 338; studies = 5, very low-quality evidence), and traumatic brain injury post-treatment (SMD -0.74, 95% CI -1.25 to -0.22; participants = 254; studies = 3, very low-quality evidence). For the remaining analyses data were insufficient to evaluate the effect of treatment.Psychological therapies may improve parent mental health (e.g. depression, anxiety, lower scores are better) in children with cancer post-treatment and follow-up (SMD -0.21, 95% CI -0.35 to -0.08; participants = 836, studies = 6, high-quality evidence; SMD -0.23, 95% CI -0.39 to -0.08; participants = 667; studies = 4, moderate-quality evidence, respectively), and chronic pain post-treatment and follow-up (SMD -0.24, 95% CI -0.42 to -0.06; participants = 490; studies = 3; SMD -0.20, 95% CI -0.38 to -0.02; participants = 482; studies = 3, respectively, low-quality evidence). Parent mental health did not improve in studies of children with diabetes post-treatment (SMD -0.24, 95% CI -0.90 to 0.42; participants = 211; studies = 3, very low-quality evidence). For the remaining analyses, data were insufficient to evaluate the effect of treatment on parent mental health.Evaluation of parent outcomes by psychological therapy typeCBT may improve parenting behavior post-treatment (SMD -0.45, 95% CI -0.68 to -0.21; participants = 1040; studies = 9, low-quality evidence), and follow-up (SMD -0.26, 95% CI -0.42 to -0.11; participants = 743; studies = 6, moderate-quality evidence). We did not find evidence for a beneficial effect for CBT on parent mental health at post-treatment or follow-up (SMD -0.19, 95% CI -0.41 to 0.03; participants = 811; studies = 8; SMD -0.07, 95% CI -0.34 to 0.20; participants = 592; studies = 5; respectively, very low-quality evidence). PST may improve parenting behavior post-treatment and follow-up (SMD -0.39, 95% CI -0.64 to -0.13; participants = 947; studies = 7, low-quality evidence; SMD -0.54, 95% CI -0.94 to -0.14; participants = 852; studies = 6, very low-quality evidence, respectively), and parent mental health post-treatment and follow-up (SMD -0.30, 95% CI -0.45 to -0.15; participants = 891; studies = 6; SMD -0.21, 95% CI -0.35 to -0.07; participants = 800; studies = 5, respectively, moderate-quality evidence). For the remaining analyses, data were insufficient to evaluate the effect of treatment on parent outcomes.Adverse eventsWe could not evaluate treatment safety because most studies (32) did not report on whether adverse events occurred during the study period. In six studies, the authors reported that no adverse events occurred. The remaining six studies reported adverse events and none were attributed to psychological therapy. We rated the quality of evidence for adverse events as moderate.

AUTHORS' CONCLUSIONS

Psychological therapy may improve parenting behavior among parents of children with cancer, chronic pain, diabetes, and traumatic brain injury. We also found beneficial effects of psychological therapy may also improve parent mental health among parents of children with cancer and chronic pain. CBT and PST may improve parenting behavior. PST may also improve parent mental health. However, the quality of evidence is generally low and there are insufficient data to evaluate most outcomes. Our findings could change as new studies are conducted.

Comparison of self-care in non-cardiac diabetic patients

BACKGROUND

In general, the majority of diabetic patients suffering from a lack of capability in controlling different aspects of self-care have likely been prone to cardiovascular disease. To reduce the economic burden in societies and the rate of death on one hand, and improve life expectancy, on the other hand, it seems necessary to emphasize self-care training in diabetic patients. The purpose of this study was to determine comparison of self-care in cardiac and non-cardiac diabetic patients.

METHODS

This descriptive-analytic study was carried out with 136 diabetic participants selected using random sampling and divided into two groups of 68 non-cardiac diabetic patients. Data were collected using a demographic and diabetic patient's self-management questionnaire (DSMQ). For the analysis of the data, SPSS16 was employed to check the significance test at the level of P<0.05.

RESULTS

In this study, twenty-eight (41.2%) and forty (58.8%) of the participants in each group were male and female, respectively. Their ages spanned from (61.35±13.34) in non-cardiac diabetic group to (65.94±8.74) in cardiac diabetic participants. There were significant differences between two groups, specifically in patients with cardiac diabetic disease in different aspects, for instance, including glucose monitoring (F=4.977, P=0.027, η²=0.036), diet control (F=9.125, P=0.003, η²=0.064), physical activity (F=22.954, P=0.0001, η²=0.146) and health care awareness (F=31.366, P=0.0001, η²=0.19).

CONCLUSION

According to DSMQ questionnaire in the present study, glucose monitoring, diet control, physical activity, and health care awareness in diabetic patients with heart disease were significantly reported to have been better than the other group with no cardiac problem. Due to insufficient self-care in diabetic patients and some consequences such as poor health, heart disease as one of the complications of diabetes, hospital re-admission and heavy costs, the therapeutic team should be alerted to self-care training.

Efficacy of the Flexible Lifestyles Empowering Change intervention on metabolic and psychosocial outcomes in adolescents with type 1 diabetes (FLEX): a randomised controlled trial

BACKGROUND

Adolescents with type 1 diabetes commonly have poor glycaemic control. We aimed to test the efficacy of a newly developed adaptive behavioral intervention (Flexible Lifestyles Empowering Change; FLEX) on metabolic and psychosocial outcomes in adolescents with type 1 diabetes.

METHODS

Young people (13-16 years, type 1 diabetes duration >1 year, HbA1c of 64-119 mmol/mol [8·0-13·0%], and without other serious medical conditions or pregnancy) from two clinical sites (Colorado and Ohio, USA) were eligible for enrolment. One caregiver was required to participate actively in the study. Adolescent participants were randomly assigned to the FLEX intervention, which used motivational interviewing and problem-solving skills training to enhance patients' self-management, or usual care control. Intervention fidelity was assessed by a behavioral psychologist with specific expertise in motivational interviewing and who was not otherwise involved in the study via audiotaped sessions. The primary outcome was measurement of glycated haemoglobin A1c (HbA1c) at 18 months. Secondary outcomes included motivation and intention, problem solving skills, self-management behaviors, symptoms of depression, health related quality of life, fear of hypoglycemia, diabetes family conflict, risk factors for T1D complications (BMI, blood pressure, and plasma lipids), and hypoglycemia derived from continuous glucose monitoring (percent time below 3·0 and 3·9 mmol/l [54 and 70 mg/dl]). Intention-to-treat analyses used mixed effects models, with fixed effects including site, timepoint, intervention group, intervention by timepoint, and baseline level of primary (HbA1c) or secondary outcomes (α=0·05). FLEX is registered on clinicaltrials.gov, number NCT01286350.

FINDINGS

Young people recruited from May 1, 2014 to April 4, 2016 were randomly assigned to FLEX (n=130) or usual care control (n=128). Mean diabetes duration was 6·4 (SD 3·8) years, and 71% (181 out of 256) of patients used insulin pump therapy. Retention was 93%, with 241 out of 258 completing the 18-month assessment. The intervention fidelity score was 4·40 of 5·00 for motivational interviewing and 97% for session content. At 18 months, HbA1c was not significantly different between intervention (83 [13] mmol/mol at baseline; 84 [19] mmol/mol at follow-up); and control (80 [14] mmol/mol at baseline; 82 [17] mmol/mol at follow-up); change in intervention versus control was -0·7 mmol/mol (95% CI -4·7 to 3·4, p=0·75). The intervention was associated with improved scores for motivation (p=0·011), problem solving (p=0·024), diabetes self-management profile (p=0·013), youth report of overall quality of life (p=0·0089), selected domains related to fear of hypoglycaemia (p=0·036 for youth's helplessness or worry; p=0·0051 for parent's efforts to maintain high blood glucose), parent report of diabetes family conflict (p=0·0001), total cholesterol (p=0·038), and diastolic blood pressure (p=0·015). A total of 54 serious adverse events were identified; 34 of these were diabetes-related, including low blood glucose requiring assistance (n=3) and high blood glucose with diabetic ketoacidosis and emergency response (n=25).

INTERPRETATION

The FLEX intervention did not significantly change HbA1c among these adolescents with elevated HbA1c, but did positively affect several psychosocial outcomes over 18 months. Further analyses will provide information regarding drivers of positive response to the intervention and will point to future directions for improvement in the approach.

FUNDING

National Institutes of Health and National Institute of Diabetes Digestive Diseases and Kidney and the Helmsley Charitable Trust.

Diabetes technology: improving care, improving patient-reported outcomes and preventing complications in young people with Type 1 diabetes

With the evolution of diabetes technology, those living with Type 1 diabetes are given a wider arsenal of tools with which to achieve glycaemic control and improve patient-reported outcomes. Furthermore, the use of these technologies may help reduce the risk of acute complications, such as severe hypoglycaemia and diabetic ketoacidosis, as well as long-term macro- and microvascular complications. In addition, diabetes technology can have a beneficial impact on psychosocial health by reducing the burden of diabetes. Unfortunately, diabetes goals are often unmet and people with Type 1 diabetes too frequently experience acute and long-term complications of this condition, in addition to often having less than ideal psychosocial outcomes. Increasing realization of the importance of patient-reported outcomes is leading to diabetes care delivery becoming more patient-centred. Diabetes technology in the form of medical devices, digital health and big data analytics have the potential to improve clinical care and psychosocial support, resulting in lower rates of acute and chronic complications, decreased burden of diabetes care, and improved quality of life.

The Flexible Lifestyle Empowering Change (FLEX) intervention for self-management in adolescents with type 1 diabetes: Trial design and baseline characteristics

The Flexible Lifestyle Empowering Change (FLEX) Intervention Study is a multi-site randomized controlled trial to test the efficacy of an adaptive behavioral intervention to promote self-management for youth with type 1 diabetes mellitus (T1D). This paper details FLEX design, demographic characteristics of the sample, and outcome variables at baseline. Participants were randomized to either an intervention or control arm after their baseline standardized measurement visit. Baseline data for the primary (glycemic levels) and secondary outcome variables (e.g., motivation and problem-solving, health-related quality of life, risk factors associated with T1D complications) as well as the potential mediator variables (e.g., self-management behavior, family conflict and responsibility) suggest that the study sample was representative of the general population of adolescents with T1D and their parents. The FLEX adaptive intervention is an innovative application of a tailored treatment intervention designed to be readily adopted in real-world practice to meet each adolescent's individualized T1D self-management goals.

Behavioral Programs for Type 1 Diabetes Mellitus: A Systematic Review and Meta-analysis

BACKGROUND

Whether behavioral approaches for self-management programs benefit individuals with type 1 diabetes mellitus is unclear.

PURPOSE

To determine the effects of behavioral programs for patients with type 1 diabetes on behavioral, clinical, and health outcomes and to investigate factors that might moderate effect.

DATA SOURCES

6 electronic databases (1993 to June 2015), trial registries and conference proceedings (2011 to 2014), and reference lists.

STUDY SELECTION

36 prospective, controlled studies involving participants of any age group that compared behavioral programs with usual care, active controls, or other programs.

DATA EXTRACTION

One reviewer extracted and another verified data. Two reviewers assessed quality and strength of evidence (SOE).

DATA SYNTHESIS

Moderate SOE showed reduction in glycated hemoglobin (HbA1c) at 6 months after the intervention compared with usual care (mean difference, -0.29 [95% CI, -0.45 to -0.13] percentage points) and compared with active controls (-0.44 [CI, -0.69 to -0.19] percentage points). At the end of the intervention and 12-month follow-up or longer, there were no statistically significant differences in HbA1c (low SOE) for comparisons with usual care or active control. Compared with usual care, generic quality of life at program completion did not differ (moderate SOE). Other outcomes had low or insufficient SOE. Adults appeared to benefit more for glycemic control at program completion (-0.28 [CI, -0.57 to 0.01] percentage points) than did youth (-0.12 [CI, -0.43 to 0.19] percentage points). Program intensity appeared not to influence effectiveness; some individual delivery appears beneficial.

LIMITATIONS

All studies had medium or high risk of bias. There was scarce evidence for many outcomes.

CONCLUSION

Behavioral programs for type 1 diabetes offer some benefit for glycemic control, at least at short-term follow-up, but improvement for other outcomes has not been shown. (PROSPERO registration number: CRD42014010515).

PRIMARY FUNDING SOURCE

Agency for Healthcare Research and Quality. (PROSPERD registration number: CRD42014010515).