OBJECTIVE

Successful self-management of type 1 diabetes requires cognitive skills such as executive functioning (EF). In the transition to adolescence, youth take over responsibility for diabetes management. We set out to test: 1) the association between EF and glycemic control over time and 2) whether this association was moderated by: a) youth, shared, or parent responsibility for diabetes management and b) youth’s age.

RESEARCH DESIGN AND METHODS

Within the Diabetes IN DevelOpment study (DINO), parents of youth with type 1 diabetes (8–15 years at baseline; N = 174) completed a yearly assessment over 4 years. Glycemic control (HbA1c) was derived from hospital charts. Youth’s EF was measured using the Behavior Rating Inventory of Executive Functioning (BRIEF)-parent report. The Diabetes Family Responsibility Questionnaire (DFRQ)-parent report was used to assess diabetes responsibility (youth, shared, and parent). Linear generalized estimating equations were used to analyze data including youth’s sex, age, and age of diabetes onset as covariates.

RESULTS

Relatively more EF problems are significantly associated with higher HbA1c over time (β = 0.190; P = 0.002). More EF problems in combination with less youth responsibility (β = 0.501; P = 0.048) or more parental responsibility (β = −0.767; P = 0.006) are significantly associated with better glycemic control over time. Only age significantly moderates the relationship among EF problems, shared responsibility, and glycemic control (β = −0.024; P = 0.019).

CONCLUSIONS

Poorer EF is associated with worse glycemic control over time, and this association is moderated by responsibility for diabetes management tasks. This points to the importance of EF when youth take over responsibility for diabetes management in order to achieve glycemic control.

Effective self-management of type 1 diabetes in adolescent years is important to prevent diabetes-related complications later in life (1,2). This concerns a complex combination of self-regulatory tasks that are particularly challenging for youth in transition to adolescence due to hormonal changes that cause insulin resistance and psychosocial growth in the context of family and peer relationships (1). Daily self-management requires planning and correct and timely execution of tasks, which are difficult in general and more so in the face of daily hassles of (pre)puberty. Execution of these tasks demands higher-order cognitive skills with a prominent role for executive functioning (EF) (3). EF encompasses cognitive skills such as problem solving, goal setting, planning, organizing, initiating, being flexible, and self-regulation of behavior and emotions (4,5). The development of EF occurs in spurts from infancy on and is not fully developed until midadolescence or early adulthood (6). The range of age-appropriate development of EF is broad, even within a nonclinical population. Thereby, youth with type 1 diabetes might experience subtle deficits in EF compared with healthy peers, in particular youth with early-onset diabetes (before the age of 7 years), long disease duration, repeated episodes of severe hypoglycemia, and/or prolonged poor metabolic control (e.g., chronic hyperglycemia and diabetic ketoacidosis) (79). In adolescence, lower EF negatively affects quality of life and the ability to effectively execute self-management tasks (10). Therefore, youth with type 1 diabetes in their early and midadolescence might demonstrate vulnerabilities in their cognitive skills that could interfere with the independent management of complex diabetes tasks (11).

As children grow older, responsibilities for diabetes management tasks transfer from parents to youth, driven by biological, psychological, cognitive, and social developmental changes (1114). For many, this may result in deterioration of glycemic control (15,16). More shared and parent responsibility of diabetes tasks throughout adolescence seems associated with better diabetes outcomes (13,15,1720). In contrast, separation from parents, forming a personal identity, and maturation of EF are key developmental tasks. Therefore, the “negotiation” between parents and children around distribution of responsibility for diabetes management tasks is (either consciously or unconsciously) ongoing. Literature shows that parents take less responsibility when youth get older in age and pubertal status (14). Interestingly, a recent study suggests that parents’ EF may compensate for EF problems of their youth to enhance treatment adherence and glycemic control (21). This might imply that for those youth with lower EF, parents may need to maintain their responsibility longer to achieve better glycemic control.

To date, the relationship among EF, diabetes management, and glycemic control in youth with type 1 diabetes has mainly been tested in cross-sectional studies and suggests a negative association (3,10,2224). However, there is some inconsistency across these studies, and effect sizes are small to medium. The few longitudinal studies that examined cognitive functioning obtained follow-up data up to 24 months after baseline and showed that lower EF was related to worse self-management and glycemic control (24,25). Also, various studies only examined children aged 9 to 11 years, whereas diabetes management tasks at that age are often (partly) executed by parents. More longitudinal research including youth with a broad age range is needed to disentangle the relationship between EF and glycemic control in the transition to adolescence, and the role of responsibility for diabetes management should be considered in this relationship (10,11,22).

The aim of this study was to examine the longitudinal association between EF and glycemic control in youth with type 1 diabetes and possible moderation by responsibility for diabetes management and youth’s age. We examined a conceptual model drawn from the biopsychosocial model based on Holmbeck and Sherpa (26). Based on literature, we hypothesized that lower EF (i.e., more problems) is associated with worse glycemic control over time in youth with type 1 diabetes. Secondly, we expected more shared or more parent responsibility to mitigate this association.

More specifically, we hypothesized that lower EF is related to worse glycemic control over time, especially in families in which youth take most responsibility for diabetes management. In families in which responsibilities are shared or parents are mainly responsible, the relationship between low EF and worse glycemic control is expected to be weaker. Finally, we hypothesized that youth’s age moderates this association over time in such a way that for older youth with lower EF, more shared responsibility (as opposed to complete transfer of responsibility to youth) is associated with better glycemic outcomes. By sharing responsibility, parents may still be able to compensate for vulnerabilities in EF while also giving room for age-appropriate autonomy in management of diabetes.

Diabetes IN DevelOpment (DINO) is a longitudinal, multicenter, cohort study examining psychosocial, neuropsychological, and biological development of youth with type 1 diabetes in the Netherlands (26). In total, 174 youth aged 8–15 years and their parents were included at baseline. Data were collected every year over 4 years (T0 in 2013–2014 to T3 in 2016–2017). At T0, 174 parents participated, and 173 of them completed questionnaires (99.4%); at T1, 173 parents participated, and 160 completed questionnaires (92.5%); at T2, 161 parents participated, and 137 completed questionnaires (85.1%); at T3, 142 parents participated, and 110 completed questionnaires (77.5%). The flow chart in Fig. 1 shows the number of participants over time and completed parental questionnaires used in current study. Questionnaires were completed by parents online or (in case of nonresponse) on paper. Parents and youth (≥12 years) gave their written informed consent prior to study participation. The DINO study was approved by the medical ethical committee of VU University Medical Center.

Figure 1

Flow chart of participants over time.

Figure 1

Flow chart of participants over time.

Close modal

Measures

Demographic and Diabetes-Related Characteristics

Hemoglobin A1c (HbA1c) at the last visit before the assessment and age of diabetes onset were derived from hospital charts. Demographic characteristics were self-reported.

EF

The parent-reported Behavior Rating Inventory of Executive Functioning (BRIEF) was used to assess youth’s EF (4,27). This 86-item questionnaire assesses if youth express certain behaviors on a 3-point Likert scale (never, sometimes, or often scored as 1, 2, and 3, respectively). Higher scores indicate more EF problems. T scores are corrected for age and sex, and a score ≥65 is considered clinically elevated. The global executive composite score (total score) consists of a behavioral regulation index (e.g., the ability of a child to shift cognitive set, inhibit behavioral responses, and control emotions) and a metacognition index (e.g., the ability of a child to initiate, plan, organize, monitor, and use their working memory). Psychometric properties in terms of validity and reliability of the BRIEF are satisfactory (4). In this study, high internal consistency at baseline was found for the global executive composite (Cronbach α = 0.96), behavioral regulation index (Cronbach α = 0.94), and metacognition index (Cronbach α = 0.96).

Responsibility for Diabetes Management Tasks

The Diabetes Family Responsibility Questionnaire (DFRQ) was used to examine distribution of responsibilities for diabetes tasks (28). Parents completed this 17-item questionnaire with the response options “my child takes (almost always) responsibility,” “my child and I share responsibility” and “I or the other parent take (almost always) responsibility” (scored as 1, 2, and 3, respectively). In accordance with recent studies (13,15,20), we calculated percentages of youth, shared, and parent responsibility to account for different responsibility attributions. Internal consistency in the current study at baseline was high (Cronbach α = 0.88).

Statistical Analyses

Raw scores of the BRIEF (global executive composite, behavioral regulation index, and metacognition index) and the DFRQ (youth, shared, and parent responsibility) were standardized into Z scores by using the mean and SD of the baseline scores of the whole study sample (24,29). Linear generalized estimating equations with an exchangeable correlation structure were used to examine the relationship between EF and HbA1c over time and the moderation of responsibility and age. Youth’s age was added as a continuous variable assuming a linear relationship. Age at diabetes onset and sex were included as covariates. The significance level was set at 0.05. Generalized estimating equations use all available longitudinal data in analyses, adjust for the correlation between repeated measurements within one participant, and are able to handle participants with varying numbers of unequally spaced observations over time. Models 1 and 2 examined the main effects of EF and responsibility on HbA1c over time, respectively. Model 3 examined the two-way interactions of EF and responsibility on HbA1c over time. In model 4, the three-way interactions with youth’s age were assessed to investigate if the relationship among EF, responsibility, and HbA1c was different for younger or older youth based on median age (13.75 years).

In Table 1, demographic characteristics of participants at baseline (T0) are described. The mean age of participants was 12.12 (± 2.17) years and sex was distributed equally. Mean HbA1c was 7.93% (± 1.09) or 63.21 mmol/mol (± 11.94), and mean age at diabetes onset was 6.56 (± 3.72) years. At baseline, mean T scores of global executive composite were 49.26 (± 9.85), and 5.8% (N = 10) were considered clinically elevated. T scores of the behavioral regulation index (49.26 ± 9.95) and metacognition index (49.52 ± 9.76) were in line with results of the global executive composite at baseline.

Table 1

Demographic characteristics of participants at baseline (T0)

% (n)Mean ± SD
Youth’s age (years) — 12.12 ± 2.17 
Youth’s sex (female) 50 (87) — 
Youth’s age at diabetes onset (years) — 6.56 ± 3.72 
HbA1c % (mmol/mol) — 7.93 ± 1.09 (63.21 ± 11.94) 
Insulin regimen   
 Insulin pump 77 (134) — 
 Multiple daily injections 22.4 (39) — 
Parents’ descent (Dutch) 94.2 (162) — 
Parents’ education level*   
 Low 10.4 (18) — 
 Moderate 23.1 (40) — 
 High 64.7 (112) — 
 NA 0.6 (1) — 
BRIEF   
 Global executive composite (72–216)** — 120.01 ± 24.75 
 Behavioral regulation index (28–84)** — 42.21 ± 10.51 
 Metacognition index (44–132)** — 77.80 ± 16.90 
DFRQ (17–51)** — 35.45 ± 6.29 
% (n)Mean ± SD
Youth’s age (years) — 12.12 ± 2.17 
Youth’s sex (female) 50 (87) — 
Youth’s age at diabetes onset (years) — 6.56 ± 3.72 
HbA1c % (mmol/mol) — 7.93 ± 1.09 (63.21 ± 11.94) 
Insulin regimen   
 Insulin pump 77 (134) — 
 Multiple daily injections 22.4 (39) — 
Parents’ descent (Dutch) 94.2 (162) — 
Parents’ education level*   
 Low 10.4 (18) — 
 Moderate 23.1 (40) — 
 High 64.7 (112) — 
 NA 0.6 (1) — 
BRIEF   
 Global executive composite (72–216)** — 120.01 ± 24.75 
 Behavioral regulation index (28–84)** — 42.21 ± 10.51 
 Metacognition index (44–132)** — 77.80 ± 16.90 
DFRQ (17–51)** — 35.45 ± 6.29 

NA, not available.

*Low: primary school, lower general education (Lager BeroepsOnderwijs [LBO]); moderate: lower secondary (vocational) education (Middelbaar Algemeen Voortgezet Onderwijs [MAVO], Middelbaar Beroeps Onderwijs [MBO]); high: higher secondary education and professional education (Hoger Algemeen Voortgezet Onderwijs [HAVO], Voorbereidend Wetenschappelijk Onderwijs [VWO], Hoger Beroeps Onderwijs [HBO], and university).

**Raw scores.

Models 1 and 2 examined main effects of EF problems and responsibility on HbA1c over time, respectively (Table 2). Higher global executive composite (β = 0.190; P = 0.002), behavioral regulation index (β = 0.114; P = 0.031), and metacognition index (β = 0.215; P = 0.001) scores were all significantly associated with higher HbA1c values over time. This indicates that more EF problems were significantly associated with worse glycemic control over time. Neither youth nor shared or parent responsibility were significantly associated with HbA1c over time.

Table 2

Unstandardized β-coefficients of the different models of the association of EF problems (global executive composite), responsibility, and age on HbA1c over time

Model 1: Main effectModel 2: Main effectModel 3: Two-way interactionModel 4: Three-way interaction
EF problems     
 EF problems (GEC) 0.19**    
Responsibility     
 Youth responsibility  −0.25   
 Shared responsibility  0.22   
 Parent responsibility  −0.01   
EF problems × responsibility     
 EF problems (GEC)   0.020  
 Youth responsibility   0.061  
 EF problems (GEC) × youth responsibility   0.501*  
 EF problems (GEC)   0.437***  
 Parent responsibility   −0.246  
 EF problems (GEC) × parent responsibility   −0.767**  
EF problems × responsibility × age     
 EF problems (GEC)    −1.798** 
 Shared responsibility    1.450 
 Age    0.010* 
 EF problems (GEC) × shared responsibility    4.159** 
 EF problems (GEC) × age    0.011** 
 Shared responsibility × age    −0.007 
 EF problems (GEC) × shared responsibility × age    −0.024* 
Model 1: Main effectModel 2: Main effectModel 3: Two-way interactionModel 4: Three-way interaction
EF problems     
 EF problems (GEC) 0.19**    
Responsibility     
 Youth responsibility  −0.25   
 Shared responsibility  0.22   
 Parent responsibility  −0.01   
EF problems × responsibility     
 EF problems (GEC)   0.020  
 Youth responsibility   0.061  
 EF problems (GEC) × youth responsibility   0.501*  
 EF problems (GEC)   0.437***  
 Parent responsibility   −0.246  
 EF problems (GEC) × parent responsibility   −0.767**  
EF problems × responsibility × age     
 EF problems (GEC)    −1.798** 
 Shared responsibility    1.450 
 Age    0.010* 
 EF problems (GEC) × shared responsibility    4.159** 
 EF problems (GEC) × age    0.011** 
 Shared responsibility × age    −0.007 
 EF problems (GEC) × shared responsibility × age    −0.024* 

GEC, global executive composite.

*P < 0.05; **P < 0.01; ***P < 0.001.

Model 3 examined the two-way interactions of EF problems and responsibility on HbA1c over time (Table 2). Youth (β = 0.501; P = 0.048) and parent responsibility (β = −0.767; P = 0.002) significantly moderated the association between global executive composite and HbA1c over time. The association between more EF problems and high HbA1c was most pronounced in youth with high own responsibility and low parental responsibility for management tasks. Figure 2A and B illustrate the pattern of the two-way interaction effect (30). It shows that high EF problems in youth with high own responsibility (Fig. 2A) or low parental responsibility (Fig. 2B) were associated with higher HbA1c values.

Figure 2

The pattern of significant two- and three-way interactions of EF problems, responsibility (A: youth, B: parent, C: shared), and age (based on median) on HbA1c over time.

Figure 2

The pattern of significant two- and three-way interactions of EF problems, responsibility (A: youth, B: parent, C: shared), and age (based on median) on HbA1c over time.

Close modal

In line with global executive composite, parent responsibility significantly moderated the association between both the behavioral regulation index and metacognition index on HbA1c over time (β = −0.607, P = 0.012; and β = −0.766, P = 0.005, respectively). Youth responsibility did not significantly moderate these associations.

Model 4 examined the three-way interaction of EF problems, responsibility, and age on HbA1c over time (Table 2). Only the relationship with age and shared responsibility was significant over time (global executive composite, β = −0.024, P = 0.019; behavioral regulation index, β = −0.025, P = 0.015; and metacognition index, β = −0.021, P = 0.041). When split by the median, the moderation of shared responsibility was only significant for the younger age group (β = 8.37; P = 0.001): younger youth with relatively more EF problems and less shared responsibility achieved lower HbA1c values over time compared with those with more shared responsibility. Concerning the older age group, shared responsibility does not significantly affect the association between EF problems and HbA1c. Figure 2C illustrates the pattern of the three-way interaction effect (30). For younger youth, high EF problems and high shared responsibility are associated with higher HbA1c.

For youth’s responsibility and parent responsibility, age did not significantly moderate the relationship among EF problems, responsibility, and HbA1c.

When observing descriptive baseline data post hoc, parents were more responsible for the diabetes tasks in the younger age group (youth responsibility, 15%; shared responsibility, 37%; and parent responsibility, 48%). In the older age group, the responsibilities were mainly youth’s and/or shared (youth responsibility, 38%; shared responsibility, 37%; and parent responsibility, 25%). Thus, in the transition to adolescence, responsibilities shift from mainly the parents to mainly youths. The percentage of shared responsibility seemed to be similar in the younger and older age group.

This study is, to the best of our knowledge, the first to show that the longitudinal relationship between EF and glycemic control in youth with type 1 diabetes is moderated by responsibility for diabetes management and age over time. Previous, mainly cross-sectional studies did not consistently show that EF and glycemic control are related (10,22,25,31). With the current study, we found a direct longitudinal relationship between EF and glycemic control. For youth with lower EF (i.e., more problems), less parent or more youth responsibility for diabetes management is associated with worse glycemic control over time. Interestingly, youth’s age was only a significant moderator in the relationship among shared responsibility, EF, and glycemic control and not in the relationship with youth’s or parent’s responsibility. It seems that in youth with relatively low EF (i.e., more problems), parent responsibility for diabetes management remains important in the transition to adolescence, more so than shared responsibilities.

In the younger age group, low EF in combination with more shared responsibility showed a negative relationship with glycemic control over time. This indicates that transferring responsibilities for diabetes management in youth with relatively lower EF, even when it is shared, could have a detrimental effect on glycemic control when youth are in their pre- and early pubertal years. In the older age group, lower EF and shared responsibility were not significantly associated with glycemic control over time. This suggests that older youth with lower EF tend to have poorer glycemic control over time irrespective of the amount of shared responsibility.

Meanwhile, in transition to adolescence, the “negotiation” between parents and youth about the distribution of responsibility for diabetes management tasks is ongoing. Parents and youth have to find their own strategy of responsibility for diabetes management tasks, either conscious or not. Transferring responsibilities for diabetes management to youth themselves is important for social and psychological development and to increase autonomy, especially for older youth (12,15). However, our results show that parental involvement irrespective of age seems to be important to achieve optimal glycemic control, especially for youth with lower EF. Based on the biopsychosocial model we examined a direct relationship among EF, responsibility, and glycemic control. The figures seem to show a trend that youth with lower EF and less youth or more parent responsibility do better than those with higher EF. Based on our results, we were not able to test whether this was a significant effect. Further research is needed to examine this in more detail. It might indicate an inadequate strategy of dividing responsibilities for diabetes management because youth capable of executing diabetes management also require the autonomy to do so. Intervention studies would be necessary to see if changing the distribution of responsibility (i.e., more shared or parental responsibilities in youth with lower EF, throughout adolescence) would result in better glycemic outcomes over time. In this context, other factors affecting the relation among EF, responsibility, and glycemic control need to be considered as well. Conflicting perceptions of responsibility, family conflict, self-efficacy, adherence, parental EF, and psychological and emotional problems of youth and parents could all play a role (10,14,21,22,32).

In this study, lower EF was defined as relatively more EF problems compared within this cohort of youth with type 1 diabetes and not as clinically significant EF problems. The baseline T scores of lower EF in our cohort are within the range of normal functioning, and only 5.8% are considered clinically elevated. We may conclude that even subtle differences in EF within a group of youth with type 1 diabetes are relevant in the execution of diabetes-management tasks to achieve glycemic control. Therefore, further research may examine youth with and without clinically elevated deficits in EF (79).

Suchy et al. (23) suggest that outcomes on the BRIEF questionnaire and neuropsychological assessment are both associated with glycemic control while measuring different constructs of EF. We may question the specific role of different underlying aspects of EF on diabetes outcomes. Current results indicate that for the achievement of glycemic control, behavioral-regulation skills (such as inhibition, cognitive flexibility, and emotion regulation) are as important as metacognitive skills (such as taking initiative, planning, organizing, monitoring, and using ones’ working memory). The separate index scores were not associated with youth responsibility as a moderator. However, this could be due to the borderline significance level of the total score (global executive composite) of youth responsibility and the reduced power of the index scores.

Our findings have clinical implications. For example, when considering more complex and flexible treatment options, the level of EF and youth’s own responsibility should be taken into consideration. Screening for low EF in routine care can be of additional value in clinical decision-making (33,34). The International Society for Pediatric and Adolescent Diabetes guidelines of 2018 state that “routine assessment should be made of developmental adjustment” and hint at EF skills as goal setting and problem solving, but based on this study, we suggest including EF skills into routine assessments (35). A measure such as the recently developed Diabetes Related Executive Functioning Scale could be helpful in this study. In addition, an assessment of responsibility for diabetes management tasks could be integrated into the regular monitoring of quality of life and/or into a care transition protocol (36). We suggest assessing cognitive skills of youth and encourage parents and health care professionals to adjust responsibilities based on youth’s skills instead of age and pubertal status (14,18). For those youth with executive dysfunction, a broad EF examination (by using the BRIEF and neuropsychological assessment) and targeted psychoeducation or neuropsychological treatment can be considered.

Our study has strengths and limitations that deserve to be mentioned. The longitudinal design, length of observation, and robust statistics are strengths of this study, adding to the internal validity. However, because we examined associations over time, we are not able reveal the direction of the effects. We managed to include and retain a relatively large sample of parents of youth with type 1 diabetes. Although we used well-validated measures, we relied on parent report. Perhaps additional self- or teacher-reported questionnaires provide a more valid assessment of EF. Also, neuropsychological assessment might be more reliable, but might tap into different aspects of EF because it captures the ability to use EF in a structured laboratory situation (37). The strength of the BRIEF questionnaire is that it reflects problems in the use of EF observed in everyday life (23).

Because the majority of our families were of Dutch origin and fairly highly educated (38), future research should aim to examine more diverse cohorts in terms of ethnicity, education, and socioeconomic status. As previous studies showed that low socioeconomic status and belonging to a minority ethnic group are associated with less optimal diabetes outcomes, study results may be more pronounced in a more diverse cohort (39,40).

In conclusion, the balance between EF skills and responsibility for diabetes management tasks is important to achieve optimal glycemic control over time in the transition to adolescence. More parent and less youth responsibility appears to buffer the negative effects of low EF and is associated with better glycemic control over time. Routine assessment of EF skills of youth with type 1 diabetes could help optimize the shift from shared or parental responsibility to youth’s own responsibility and help reach optimal glycemic control in this challenging period toward adolescence.

Acknowledgments. The authors thank Prof. Jos Twisk of the Department of Epidemiology and Biostatistics, VU University (Amsterdam, the Netherlands) for an advisory role in the statistical analyses.

Funding. This work was supported by the Dutch Diabetes Research Foundation (grant 2009.80.103).

Duality of Interest. No potential conflicts of interest relevant to this article were reported.

Author Contributions. A.F.V. collected and researched the data and wrote the manuscript. M.M.A.E. collected the data and reviewed and edited the manuscript. J.R., W.M.B.-v.W., E.C.A.M.H., R.N., and P.W. collected medical data and reviewed and edited the manuscript. F.J.S. reviewed and edited the manuscript. M.D.W. researched the data and edited and reviewed the manuscript. M.D.W. is the guarantor of this work and, as such, had full access to all of the data in the study and takes responsibility for the integrity of the work and the accuracy of the data analysis.

1.
American Diabetes Association
.
12. Children and adolescents: Standards of Medical Care in Diabetes—2018
.
Diabetes Care
2018
;
41
(
Suppl. 1
):
S126
S136
[PubMed]
2.
Nathan
DM
,
Genuth
S
,
Lachin
J
, et al.;
Diabetes Control and Complications Trial Research Group
.
The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus
.
N Engl J Med
1993
;
329
:
977
986
[PubMed]
3.
Wasserman
RM
,
Hilliard
ME
,
Schwartz
DD
,
Anderson
BJ
.
Practical strategies to enhance executive functioning and strengthen diabetes management across the lifespan
.
Curr Diab Rep
2015
;
15
:
52
4.
Baron
IS
.
Behavior rating inventory of executive function
[published correction appears in Child Neuropsychol 2016;22:761].
Child Neuropsychol
2000
;
6
:
235
238
[PubMed]
5.
Suchy
Y
.
Executive functioning: overview, assessment, and research issues for non-neuropsychologists
.
Ann Behav Med
2009
;
37
:
106
116
[PubMed]
6.
Anderson
P
.
Assessment and development of executive function (EF) during childhood
.
Child Neuropsychol
2002
;
8
:
71
82
[PubMed]
7.
Brismar
T
,
Maurex
L
,
Cooray
G
, et al
.
Predictors of cognitive impairment in type 1 diabetes
.
Psychoneuroendocrinology
2007
;
32
:
1041
1051
[PubMed]
8.
Gaudieri
PA
,
Chen
R
,
Greer
TF
,
Holmes
CS
.
Cognitive function in children with type 1 diabetes: a meta-analysis
.
Diabetes Care
2008
;
31
:
1892
1897
[PubMed]
9.
Broadley
MM
,
White
MJ
,
Andrew
B
.
A systematic review and meta-analysis of executive function performance in type 1 diabetes mellitus
.
Psychosom Med
2017
;
79
:
684
696
[PubMed]
10.
Perez
KM
,
Patel
NJ
,
Lord
JH
, et al
.
Executive function in adolescents with type 1 diabetes: relationship to adherence, glycemic control, and psychosocial outcomes
.
J Pediatr Psychol
2017
;
42
:
636
646
[PubMed]
11.
Wysocki
T
,
Taylor
A
,
Hough
BS
,
Linscheid
TR
,
Yeates
KO
,
Naglieri
JA
.
Deviation from developmentally appropriate self-care autonomy. Association with diabetes outcomes
.
Diabetes Care
1996
;
19
:
119
125
[PubMed]
12.
Christie
D
,
Viner
R
.
Adolescent development
.
BMJ
2005
;
330
:
301
304
[PubMed]
13.
Helgeson
VS
,
Reynolds
KA
,
Siminerio
L
,
Escobar
O
,
Becker
D
.
Parent and adolescent distribution of responsibility for diabetes self-care: links to health outcomes
.
J Pediatr Psychol
2008
;
33
:
497
508
[PubMed]
14.
Palmer
DL
,
Berg
CA
,
Butler
J
, et al
.
Mothers’, fathers’, and children’s perceptions of parental diabetes responsibility in adolescence: examining the roles of age, pubertal status, and efficacy
.
J Pediatr Psychol
2009
;
34
:
195
204
[PubMed]
15.
Marker
AM
,
Noser
AE
,
Clements
MA
,
Patton
SR
.
Shared responsibility for type 1 diabetes care is associated with glycemic variability and risk of glycemic excursions in youth
.
J Pediatr Psychol
2018
;
43
:
61
71
[PubMed]
16.
Anderson
B
,
Ho
J
,
Brackett
J
,
Finkelstein
D
,
Laffel
L
.
Parental involvement in diabetes management tasks: relationships to blood glucose monitoring adherence and metabolic control in young adolescents with insulin-dependent diabetes mellitus
.
J Pediatr
1997
;
130
:
257
265
[PubMed]
17.
Young
MT
,
Lord
JH
,
Patel
NJ
,
Gruhn
MA
,
Jaser
SS
.
Good cop, bad cop: quality of parental involvement in type 1 diabetes management in youth
.
Curr Diab Rep
2014
;
14
:
546
18.
Wiebe
DJ
,
Chow
CM
,
Palmer
DL
, et al
.
Developmental processes associated with longitudinal declines in parental responsibility and adherence to type 1 diabetes management across adolescence
.
J Pediatr Psychol
2014
;
39
:
532
541
[PubMed]
19.
Holmes
CS
,
Chen
R
,
Streisand
R
, et al
.
Predictors of youth diabetes care behaviors and metabolic control: a structural equation modeling approach
.
J Pediatr Psychol
2006
;
31
:
770
784
[PubMed]
20.
Anderson
BJ
,
Holmbeck
G
,
Iannotti
RJ
, et al
.
Dyadic measures of the parent-child relationship during the transition to adolescence and glycemic control in children with type 1 diabetes
.
Fam Syst Health
2009
;
27
:
141
152
[PubMed]
21.
Goethals
ER
,
de Wit
M
,
Van Broeck
N
, et al
.
Child and parental executive functioning in type 1 diabetes: their unique and interactive role toward treatment adherence and glycemic control
.
Pediatr Diabetes
2018
;
19
:
520
526
[PubMed]
22.
Duke
DC
,
Harris
MA
.
Executive function, adherence, and glycemic control in adolescents with type 1 diabetes: a literature review
.
Curr Diab Rep
2014
;
14
:
532
[PubMed]
23.
Suchy
Y
,
Turner
SL
,
Queen
TL
, et al
.
The relation of questionnaire and performance-based measures of executive functioning with type 1 diabetes outcomes among late adolescents
.
Health Psychol
2016
;
35
:
661
669
[PubMed]
24.
Cato
MA
,
Mauras
N
,
Mazaika
P
, et al.;
Diabetes Research in Children Network
.
Longitudinal evaluation of cognitive functioning in young children with type 1 diabetes over 18 months
.
J Int Neuropsychol Soc
2016
;
22
:
293
302
[PubMed]
25.
Miller
MM
,
Rohan
JM
,
Delamater
A
, et al
.
Changes in executive functioning and self-management in adolescents with type 1 diabetes: a growth curve analysis
.
J Pediatr Psychol
2013
;
38
:
18
29
[PubMed]
26.
Eilander
MM
,
de Wit
M
,
Rotteveel
J
, et al
.
Diabetes IN develOpment (DINO): the bio-psychosocial, family functioning and parental well-being of youth with type 1 diabetes: a longitudinal cohort study design
.
BMC Pediatr
2015
;
15
:
82
[PubMed]
27.
Gioia
GA
,
Isquith
PK
,
Retzlaff
PD
,
Espy
KA
.
Confirmatory factor analysis of the Behavior Rating Inventory of Executive Function (BRIEF) in a clinical sample
.
Child Neuropsychol
2002
;
8
:
249
257
[PubMed]
28.
Anderson
BJ
,
Auslander
WF
,
Jung
KC
,
Miller
JP
,
Santiago
JV
.
Assessing family sharing of diabetes responsibilities
.
J Pediatr Psychol
1990
;
15
:
477
492
[PubMed]
29.
van den Berg
E
,
Reijmer
YD
,
de Bresser
J
,
Kessels
RP
,
Kappelle
LJ
,
Biessels
GJ
;
Utrecht Diabetic Encephalopathy Study Group
.
A 4 year follow-up study of cognitive functioning in patients with type 2 diabetes mellitus
.
Diabetologia
2010
;
53
:
58
65
[PubMed]
30.
Interpreting interaction effects [Internet]. Available from http://www.jeremydawson.co.uk/slopes.htm. Accessed 14 September 2018
31.
McNally
K
,
Rohan
J
,
Pendley
JS
,
Delamater
A
,
Drotar
D
.
Executive functioning, treatment adherence, and glycemic control in children with type 1 diabetes
.
Diabetes Care
2010
;
33
:
1159
1162
[PubMed]
32.
Ingerski
LM
,
Vesco
A
,
Laffel
L
,
Repaske
D
,
Anderson
BJ
,
Hood
KK
.
Trends in blood glucose monitoring and A1c in adolescence: contribution of diabetes-specific family conflict and responsibility
.
Diabetes
2009
;
58
:
A75
33.
Duke
DC
,
Raymond
JK
,
Harris
MA
.
The Diabetes Related Executive Functioning Scale (DREFS): pilot results
.
Child Health Care
2014
;
43
:
327
344
34.
Wasserman
RM
,
Anderson
BJ
,
Schwartz
DD
.
Screening of neurocognitive and executive functioning in children, adolescents, and young adults with type 1 diabetes
.
Diabetes Spectr
2016
;
29
:
202
210
[PubMed]
35.
Delamater
AM
,
de Wit
M
,
McDarby
V
, et al
.
ISPAD Clinical Practice Consensus Guidelines 2018: psychological care of children and adolescents with type 1 diabetes
.
Pediatr Diabetes
2018
;
19
(
Suppl. 27
):
237
249
[PubMed]
36.
de Wit
M
,
Winterdijk
P
,
Aanstoot
HJ
, et al.;
DAWN Youth Advisory Board
.
Assessing diabetes-related quality of life of youth with type 1 diabetes in routine clinical care: the MIND Youth Questionnaire (MY-Q)
.
Pediatr Diabetes
2012
;
13
:
638
646
[PubMed]
37.
Toplak
ME
,
West
RF
,
Stanovich
KE
.
Practitioner review: do performance-based measures and ratings of executive function assess the same construct
?
J Child Psychol Psychiatry
2013
;
54
:
131
143
[PubMed]
38.
Verweij
A
.
Scholing en Opleiding: Indeling Opleidingsniveau
.
Bilthoven, the Netherlands
,
Volksgezondheid Toekomst Verkenning, Nationaal Kompas Volksgezondheid Bilthoven, RIVM
,
2008
39.
Hassan
K
,
Loar
R
,
Anderson
BJ
,
Heptulla
RA
.
The role of socioeconomic status, depression, quality of life, and glycemic control in type 1 diabetes mellitus
.
J Pediatr
2006
;
149
:
526
531
[PubMed]
40.
Khanolkar
AR
,
Amin
R
,
Taylor-Robinson
D
,
Viner
RM
,
Warner
JT
,
Stephenson
T
.
Young people with type 1 diabetes of non-white ethnicity and lower socio-economic status have poorer glycaemic control in England and Wales
.
Diabet Med
2016
;
33
:
1508
1515
[PubMed]
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