Teens with Type 1 Diabetes: How Does Their Nutrition Measure Up?

OBJECTIVE: To characterize the intake of macronutrient and fiber in adolescents with type 1 diabetes (T1D) and examine their association with health indicators. METHODS: Baseline data from an RCT were examined. Adolescent-parent dyads (n = 257, mean age 12 ± 1.2 years, 49.4% girls) reported dietary intake via two separate 24-hour recall interviews during a two-week period. Demographic and medical variables were abstracted from questionnaires and medical charts. RESULTS: Controlling for demographic and diet variables, a higher percentage of daily energy intake from fats was associated with poorer HbA1c. In contrast, an association between higher percent of energy intake from proteins and carbohydrates was found with higher systolic and diastolic BP, respectively. CONCLUSIONS: Many early adolescents with T1D did not meet diabetes nutritional guidelines. Lower adherence to nutritional guidelines, specifically more than recommended energy intake from fats, was associated with poorer HbA1c. Addressing nutritional guidelines and increasing adherence as part of treatment may improve health outcomes for youth with T1D.

The Role of Authoritative Parenting in Adolescent Type 1 Diabetes Management.

Objective: Adolescents with Type 1 diabetes are at risk for poorer adherence, lower quality of life (QOL), and poorer glycemic control (HbA1c). Authoritative parenting (AP) along with youth adherence and QOL was hypothesized to relate to better HbA1c. Methods: Parent-youth dyads (N = 257) completed baseline measures of adherence and QOL. Youth completed an AP questionnaire, and HbA1c samples were evaluated. Structural equation modeling determined relations among AP, adherence, QOL, and glycemic control. Results: AP indirectly linked to better HbA1c (ß = -.15, p = .021) through both better adherence and higher QOL. AP also was associated directly with better adherence (ß = .26, p = .001), which in turn was linked to better HbA1c (ß = -.35, p = .021). In addition, adherence was associated directly with QOL (ß = -.56, p = .001). Conclusions: Together, better youth adherence and higher QOL are two mechanisms by which more AP indirectly relates to better glycemic control during the early adolescent years.

A model of parental distress and factors that mediate its link with parental monitoring of youth diabetes care, adherence, and glycemic control.

OBJECTIVE: Parental monitoring of adolescents' diabetes self-care is associated with better adherence and glycemic control (A1c). A number of parent-level factors are associated with higher levels of parental monitoring, including lower levels of parental distress (depressive symptoms, stress, anxiety), as well as higher levels of parental self-efficacy for diabetes management and authoritative parenting. Often studied in isolation, these factors may be best considered simultaneously as they are interrelated and are associated with parental monitoring and youth adherence. METHOD: Structural equation modeling with a cross-sectional sample of 257 parent/youth (aged 11-14) dyads: (a) examined a broad model of parental factors (i.e., parental distress, parental diabetes self-efficacy, authoritative parenting), and (b) assessed their relation to parental monitoring, youth adherence, and A1c. Post hoc analyses of variance (ANOVAs) evaluated clinical implications of daily parental monitoring. RESULTS: Parental distress was not related directly to parental monitoring. Instead less distress related indirectly to more monitoring via higher parental self-efficacy and more authoritative parenting which, in turn, related to better adherence and A1c. Higher parental self-efficacy also related directly to better youth adherence and then to better A1c. Clinically, more parental monitoring related to more daily blood glucose checks and to better A1c (8.48% vs. 9.17%). CONCLUSIONS: A broad model of parent-level factors revealed more parental distress was linked only indirectly to less monitoring via lower parental self-efficacy and less authoritative parenting. Behaviorally, more parental monitoring related to better adherence and to clinically better A1c in adolescents. Further study of parent-level factors that relate to parental distress and monitoring of adherence appears warranted. (PsycINFO Database Record

Factors Associated with Recruitment and Retention in Randomized Controlled Trials of Behavioral Interventions for Patients with Pediatric Type 1 Diabetes.

The purpose of this study is to describe recruitment and retention experiences from three behavioral randomized controlled trials conducted among youth with type 1 diabetes. Eligibility, recruitment, and retention data were examined. Study-specific differential study participation and loss-to-follow-up analyses assessed the relations of patient characteristics with treatment completion and 6-month retention. Multivariable logistic regression identified factors independently associated with 6-month retention among all participants. Approximately 70-92 % of randomized participants completed treatment and 58-90 % were retained for follow-up. Older patients and non-Caucasian patients were less likely to enroll. Treatment completion and 6-month retention were less likely among youth who were older, had worse baseline glycemic control, lower household income, and/or unmarried parents. Some subgroups of patients are less likely to participate in research and are more susceptible to loss-to-follow-up. More work is needed to understand the facilitators and barriers to research participation.

Mealtime behavior and diabetes-specific parent functioning in young children with type 1 diabetes.

OBJECTIVE: Management of meals and mealtime behavior is often challenging for parents of young children with Type 1 diabetes. Parent functioning related to diabetes care may directly affect mealtime behaviors and glycemic control. This study evaluated associations among diabetes-specific parent functioning, parent and child mealtime behaviors, and glycemic control. METHOD: Parents of young children with Type 1 diabetes (n = 134) completed self-report measures assessing diabetes-specific functioning (hypoglycemia fear, diabetes self-efficacy, diabetes-related quality of life) and child and parent mealtime behaviors. Hemoglobin A1c and percentage of blood glucose values out of range (<70 mg/dL or >200 mg/dL) over a 30-day period were abstracted from medical charts as indicators of glycemic control. Structural equation modeling was utilized to evaluate predictors and related outcomes of child and parent mealtime behavior. RESULTS: The proposed model fit the data very well. More frequent problematic child mealtime behaviors were associated with poorer glycemic control; however, more frequent problematic parent mealtime behaviors were marginally associated with better glycemic control. Poorer diabetes-specific parent functioning was associated with more frequent problematic child and parent mealtime behaviors. CONCLUSIONS: Problematic child mealtime behaviors, such as disruptive behavior, present a significant risk for poorer glycemic control. Parents may engage in ineffective mealtime management strategies in an effort to meet glycemic recommendations and avoid hyperglycemia and hypoglycemia. Future research will help to determine whether parents may benefit from specific, developmentally appropriate behavioral strategies to manage meals and snacks and promote optimal diabetes management.

Family Density and SES Related to Diabetes Management and Glycemic Control in Adolescents With Type 1 Diabetes.

OBJECTIVE: Youth with Type 1 diabetes (T1D) from single-parent families have poorer glycemic control; a finding confounded with socioeconomic status (SES). Family density (FD), or youth:adult ratio, may better characterize family risk status. METHODS: Structural equation modeling assessed the relation of single-parent status, SES, and FD to parenting stress, diabetes-related conflict, parental monitoring, adherence, and glycemic control using cross-sectional parent and youth data (n = 257). RESULTS: Single-parent status exhibited similar relations as SES and was removed. Lower FD was associated with better glycemic control (ß = -.29, p = .014) via less conflict (ß = .17, p = .038) and greater adherence (ß = -.54, p < .001). CONCLUSIONS: Beyond SES, FD plays a significant role in adherence and glycemic control via diabetes-related conflict. In contrast, the effects of single-parent status were indistinguishable from those of SES. FD provides distinct information related to adolescent glycemic control.

Maternal depressive symptoms and disease care status in youth with type 1 diabetes.

OBJECTIVE: The current study assessed relations among maternal depressive symptoms, poorer youth diabetes adherence, and glycemic control. Specifically, hypothesized mediating links of lowered expectations of parental involvement, less parental monitoring, and more conflict were examined. METHOD: Participants included 225 mothers and their young adolescents, aged 11-14 years (M = 12.73 years, SD = 1.2) diagnosed with T1D. Maternal depressive symptoms and outcome expectancies for maternal involvement were evaluated with self-report questionnaires. Multisource, parent/youth, and multimethod assessment of adherence, parental monitoring, and conflict were evaluated during a baseline assessment from a larger randomized clinical trial. RESULTS: The first hypothesized structural equation model demonstrated a good fit and indicated that more maternal depressive symptoms were directly associated with less parental monitoring and more conflict, which in turn each were associated with poorer adherence and glycemic control. Although higher involvement expectancies were associated with more monitoring and less conflict, they were not associated with other model variables. A second alternative model also fit the data well; poorer youth adherence was associated with more conflict that in turn related to maternal depressive symptoms. CONCLUSIONS: Two models were tested by which maternal depressive symptoms and poorer youth adherence were interrelated via less monitoring and more conflict. Follow-up longitudinal evaluation can best characterize the full extent of these relations.

Randomized clinical trial of clinic-integrated, low-intensity treatment to prevent deterioration of disease care in adolescents with type 1 diabetes.

OBJECTIVE: To evaluate the efficacy of two office-based treatments designed to prevent deterioration in glycemic control in young adolescents with type 1 diabetes in a randomized clinical trial. An individualized, more intensive family teamwork Coping skills program was compared with a diabetes Education treatment. RESEARCH DESIGN AND METHODS: A baseline assessment was followed by four brief treatment sessions and immediate posttesting over the course of 1.5 years. Families of 226 early adolescents (ages 11-14) were randomized to receive either individualized coping skills education or diabetes education as adjunctive treatment to quarterly medical appointments. Continued follow-up occurred at 3.5-month intervals for a long-term follow-up of up to 3 years. A post hoc Usual Care group facilitated comparisons of glycemic control. RESULTS: Growth curve analysis showed that both treatment groups successfully prevented deterioration in adolescent disease care and simultaneously improved adolescent and parent quality of life that included indicators of more effective communication and reduced adherence barriers-without a concomitant increase in diabetes-related or general family conflict. However, contrary to expectation, the Education group was more efficacious than the Coping group in improvement of disease adherence and glycemic control over a 3-year follow-up. CONCLUSIONS: Low-intensity office-based quarterly treatment can maintain or improve disease care adherence in early adolescence when provided to adolescent/parent dyads. Better outcomes are achieved when treatment goals and techniques match the needs of the targeted population.

Using qualitative methods to evaluate a family behavioral intervention for type 1 diabetes.

INTRODUCTION: The objectives of this study were to qualitatively evaluate a dyadic adolescent-parent type 1 diabetes (T1D) program developed to prevent deterioration in diabetes care among adolescents with T1D and provide recommendations for program refinement. METHOD: Thirteen adolescent-parent dyads who participated in the larger randomized controlled trial, the TeamWork Project, were interviewed regarding their perceptions of their participation in the program and current T1D challenges. Interviews were transcribed and coded to establish broad themes. RESULTS: Adolescents and parents thought the TeamWork Project sessions were helpful and taught them new information. Five themes catalog findings from the qualitative interviews: TeamWork content, TeamWork structure, transition of responsibility, current and future challenges, and future intervention considerations. DISCUSSION: Addressing T1D challenges as a parent-adolescent dyad via a behavioral clinic program is helpful to families during adolescence. Findings highlight the utility of qualitative evaluation to tailor interventions for the unique challenges related to pediatric chronic illness.

A profile of self-care behaviors in emerging adults with type 1 diabetes.

PURPOSE: The purpose of this study is to characterize daily diabetes self-care behaviors and to evaluate associations among self-care behaviors, psychosocial adjustment, and glycemic control in an understudied sample of emerging adults with type 1 diabetes. METHODS: Forty-nine emerging adults (65% women; ages 18-26 years) completed 2 diabetes interviews to assess self-care behaviors and self-report measures of psychosocial adjustment. Glycemic control was assessed via hemoglobin A1C. RESULTS: Diabetes self-care behaviors varied widely and were largely suboptimal; only a small percentage of participants demonstrated self-care behaviors consistent with national and international recommendations. Psychosocial adjustment was within normal limits and was unrelated to frequency of self-care behaviors in this sample. Mean glycemic control (8.3%) was higher than the recommended A1C level (< 7.0%) for this age group. Use of intensive (e.g., multiple daily injections or pump) insulin regimens was related to better glycemic control. CONCLUSIONS: The majority of emerging adults in this sample did not engage in optimal daily diabetes self-care. Intensive insulin therapy was associated with better glycemic control without corresponding psychosocial distress. Diabetes care behaviors could be improved in this age group, and emerging adults may benefit from targeted education and behavioral support to enhance diabetes self-management and optimize health outcomes.

Sociodemographic effects on biological, disease care, and diabetes knowledge factors in youth with type 1 diabetes.

Sociodemographic risk factors place youth with type 1 diabetes at higher risk for immediate and long-term health complications, yet research has still to disentangle the confounding effects of ethnicity, socioeconomic status (SES), and parental marital status. Group-oriented and variable-oriented analyses were conducted to investigate sociodemographic differences in biological, disease care, and diabetes knowledge factors in youth with type 1 diabetes. The sample included 349 youth, age 9-17 years (79.9% Caucasian, 71.3% lived with two biological parents, M SES = 46.24). Group t-tests confirmed commonly reported ethnic differences in HbA1c and disease care behaviors. However, variable-oriented analyses controlling for confounding sociodemographic influences showed most disease care effects attributed to ethnicity were better explained by SES. Results may inform development of diabetes literacy programs that integrate culturally sensitive lifestyle and language components for families of youth at risk of poor metabolic control.

Disentangling the roles of parental monitoring and family conflict in adolescents' management of type 1 diabetes.

OBJECTIVE: Less parental monitoring of adolescents' diabetes self-care and more family conflict are each associated with poorer diabetes outcomes. However, little is known about how these two family factors relate with one another in the context of self-care and glycemic control. Diabetes self-care was evaluated as a mediator of the associations among parental monitoring, family conflict, and glycemic control in early adolescents with type 1 diabetes. METHODS: Adolescent-parent dyads (n = 257) reported on the frequency of parental monitoring, family conflict, and diabetes self-care. Hemoglobin A1c was abstracted from medical charts. Structural equation modeling was used for mediation analysis. RESULTS: A mediation model linking parental involvement and family conflict with A1c through diabetes self-care fit the data well. Monitoring and conflict were inversely correlated (ß = -0.23, p < .05) and each demonstrated indirect associations with A1c (standardized indirect effects -0.13 and 0.07, respectively) through their direct associations with self-care (ß = 0.39, p < .001 and ß = -0.19, p < .05, respectively). Conflict also was positively associated with higher A1c (ß = 0.31, p < .01). CONCLUSIONS: Elevated family conflict and less parental monitoring are risk factors for poorer glycemic control, and diabetes self-care is one mediator linking these variables. Interventions to promote parental monitoring of diabetes management during early adolescence may benefit from emphasizing strategies to prevent or reduce family conflict.

Family and youth factors associated with health beliefs and health outcomes in youth with type 1 diabetes.

OBJECTIVE: To examine the association of family organization with metabolic control in adolescents with type 1 diabetes through the mechanisms of family self-efficacy for diabetes and disease management. METHOD: Data from the baseline assessment of a longitudinal RCT were used, wherein 257 adolescent-parent dyads (adolescents aged 11-14) each completed the family organization subscale of the Family Environment Scale, the self-efficacy for Diabetes Self-Management Scale, the Diabetes Behavior Rating Scale, and 2 24-hr diabetes interviews. RESULTS: Structural equation modeling showed greater family organization was associated indirectly with better disease management behaviors via greater family self-efficacy (ß = .38, p < .001). Greater self-efficacy was indirectly associated with better metabolic control via better disease management both concurrently (ß = -.37, p < .001) and prospectively (ß = -.26, p < .001). The full model indicates more family organization is indirectly associated with better metabolic control concurrently and prospectively through greater self-efficacy and better disease management (ß = -.13, p < .001). CONCLUSIONS: Understanding the mechanisms by which family organization is associated with metabolic control provides insight into possible avenues of prevention/intervention for better diabetes management.

Individual and family strengths: an examination of the relation to disease management and metabolic control in youth with type 1 diabetes.

We examined the association of youths' positive qualities, family cohesion, disease management, and metabolic control in Type 1 diabetes. Two-hundred fifty-seven youth-parent dyads completed the Family Cohesion subscale of the Family Environment Scale, the Diabetes Behavior Rating Scale, 24-hour diabetes interview, and youth completed the Positive Qualities subscale of the Youth Self Report (YSR-PQ). Structural equation modeling demonstrated that YSR-PQ scores were associated with metabolic control mediated by associations with more family cohesion and better disease management. That is, youth with higher YSR-PQ scores had more cohesive families, better disease management, and, indirectly, better metabolic control. Family cohesion was indirectly associated with better metabolic control mediated by its association with better disease management, but not mediated by its association with YSR-PQ scores. Youth who reported more positive qualities, as measured by the YSR-PQ subscale, had better disease management and metabolic control through the association with more family cohesion. However, the current results did not support an alternative hypothesis that cohesive families display better diabetes management mediated by higher YSR-PQ scores.

Individual growth curve modeling of specific risk factors and memory in youth with type 1 diabetes: an accelerated longitudinal design.

OBJECTIVE: To examine if diabetes risk factors disrupt memory score trajectories in youth with T1D over three years with a powerful accelerated longitudinal method and individual growth curve modeling. METHODS: Participants aged 9-17 completed memory measures at study enrollment and two years later. RESULTS: Poorer metabolic control over the course of the study related to a significant decrease in visual memory scores. Compared to baseline, these youth scored 1.99 points lower at follow-up. Generally appropriate developmental gains were made in memory trajectories and girls' visual and verbal memory improved more than boys. No significant effects of disease duration, age of onset, or severe hypoglycemia were found on visual or verbal memory over three years time. CONCLUSIONS: Of the risk factors studied, only poorer metabolic control had a significant impact upon visual memory after three years. Verbal memory was unaffected. However, given that level of metabolic control tends to remain relatively consistent over time, the effect of continued poorer metabolic control on memory should be monitored.

Cognitive function in children with type 1 diabetes: a meta-analysis.

OBJECTIVE: To quantify the magnitude and pattern of cognitive difficulties in pediatric type 1 diabetes as well as the effects associated with earlier disease onset and severe hypoglycemia. RESEARCH DESIGN AND METHODS: Pediatric studies of cognitive function since 1985 were identified for study inclusion using MEDLINE and PsycInfo. Effect size (ES, Cohen's d) between the diabetic and control groups, expressed in SD units, were calculated within cognitive domains to standardize meta-analysis test performance. RESULTS: The meta-analysis sample of 2,144 children consisted of 1,393 study subjects with type 1 diabetes and 751 control subjects from 19 studies. Overall, type 1 diabetes was associated with slightly lower overall cognition (ES -0.13), with small differences compared with control subjects across a broad range of domains, excluding learning and memory, which were similar for both groups. Learning and memory skills, both verbal and visual (-0.28 and -0.25), were more affected for children with early-onset diabetes (EOD) than late-onset diabetes (LOD), along with attention/executive function skills (-0.27). Compared with nondiabetic control subjects, EOD effects were larger, up to one-half SD lower, particularly for learning and memory (-0.49). Generally, seizures were associated with a negligible overall cognition ES of -0.06, with slight and inconsistent cognitive effects found on some measures, possibly reflecting the opposing effects of poorer versus better metabolic control. CONCLUSIONS: Pediatric diabetes generally relates to mildly lower cognitive scores across most cognitive domains. Cognitive effects are most pronounced and pervasive for EOD, with moderately lower performance compared with control subjects. Seizures are generally related to nominal, inconsistent performance differences.

Demographic risk factors, mediators, and moderators in youths' diabetes metabolic control.

BACKGROUND: Socioeconomic status (SES) is one of the most frequently identified and potent predictors of disease morbidity and mortality. It also predicts diabetes care and metabolic control, yet it is often confounded with parental marital status and ethnicity in pediatric samples. PURPOSE: Key demographic risk factors for poorer metabolic control in adolescents with type I diabetes are examined to distinguish their relative effects, along with disease care mediators and family environment moderators. METHODS AND RESULTS: When SES, ethnicity, and marital status are considered simultaneously with path analysis, living with married biological parents is the sole predictor of better metabolic control in a predominantly middle-class sample. Specifically, adolescents who lived with their biologic parents had glycosylated hemoglobin levels that were approximately .5% lower on average than those who lived in alternative family arrangements (i.e., blended and single-parent families). More frequent meals and snacks and more blood glucose monitoring mediates this effect. Under favorable conditions of greater familial harmony, children from married biologic families experience a stronger beneficial health effect, with average glycohemoglobin levels that are approximately .81% lower in less conflicted families and .62% lower in more cohesive families. CONCLUSIONS: In toto, marital status eclipsed the well known effects of SES in the prediction of metabolic control in a primarily middle-class sample of children with diabetes. The 8.0% average glycohemoglobin level of youths from married biologic families is similar to that of intensively treated adolescents in the Diabetes Control and Complications Trial and, if maintained, should be associated with clinically significant reductions in disease complications.

Predictors of youth diabetes care behaviors and metabolic control: a structural equation modeling approach.

OBJECTIVE: To empirically test a biopsychosocial model of predictors of youth diabetes care behaviors and metabolic control. METHODS: A cross-sectional multisite study of youths (N = 222) with T1D (mean age = 12.6) used structural equation modeling to examine interrelations among predictors, with follow-up analyses of covariance (ANCOVAs). RESULTS: Youths' memory skills related to diabetes knowledge which, along with self-efficacy and age, was associated with greater youth responsibility that in turn predicted poorer self-care behaviors. Less frequent/briefer exercise and less frequent blood glucose monitoring/eating were found; the latter directly related to poorer metabolic control. Behavior problems also were associated directly with poorer metabolic control. A parsimonious model found memory directly related to blood glucose testing. CONCLUSIONS: Continued parental supervision of adolescents, along with monitoring diabetes knowledge and efficacy, may help optimize transfer of diabetes care from parents to youths. Behavior problems warrant immediate attention because of their direct and adverse relation to metabolic control.

Pediatric parenting stress among parents of children with type 1 diabetes: the role of self-efficacy, responsibility, and fear.

OBJECTIVE: Parents of children with type 1 diabetes are crucial to promoting positive disease adaptation and health outcomes among these youngsters, yet this success may come at some consequence to parents' own well-being. Little research has examined the stress faced by parents, or explored the psychological and behavioral correlates of their stress. METHODS: One hundred and thirty-four parents of children with type 1 diabetes completed measures of diabetes self-efficacy, responsibility for diabetes management, fear of hypoglycemia, and a recently developed measure of pediatric parenting stress (the Pediatric Inventory for Parents [PIP]; R. Streisand, S. Braniecki, K. P. Tercyak, & A. E. Kazak, 2001). RESULTS: Bivariate analyses suggest that pediatric parenting stress is multifaceted; the frequency of parenting stress is negatively related to child age and family socioeconomic status and positively related to single parent status and regimen status (injections vs. insulin pump). Difficulty of parenting stress is negatively related to child age and positively related to regimen status. In multivariate analyses, a significant portion of the variance in stress frequency (32%) and difficulty (19%) are associated with parent psychological and behavioral functioning, including lower self-efficacy, greater responsibility for diabetes management, and greater fear of hypoglycemia. CONCLUSIONS: Each area of parent functioning associated with pediatric parenting stress is amenable to behavioral intervention aimed at stress reduction or control and improvement of parent psychological and child-health outcomes.