Journal of Pediatric Psychology Advance Access originally published online on October 9, 2006
Journal of Pediatric Psychology 2007 32(4):437-447; doi:10.1093/jpepsy/jsl029
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Child Routines and Youths Adherence to Treatment for Type 1 Diabetes
1University of Mississippi Medical Center and 2University of Southern Mississippi
All correspondence concerning this article should be addressed to L. Greening, Department of Psychiatry and Human Behavior, University of Mississippi Medical Center, 2500 North State Street, Jackson MS 39216. E-mail: Lgreening{at}psychiatry.umsmed.edu.
| Abstract |
|---|
|
|
|---|
Objective Type 1 diabetes (T1DM) is a chronic life-threatening disease that requires strict adherence to daily treatment tasks. Although necessary for survival, children who present with behavior problems tend to show problems complying with the treatment regimen, thereby increasing their risk for morbidity and premature mortality. The risk of poor treatment adherence is hypothesized to be lower for these children, however, if they engage in more routine behaviors. Given the potential clinical implications, this hypothesis and two theoretical models proposed to elucidate the underlying psychological process for the role of child routines in treatment adherence were evaluated empirically. The first model hypothesized that child routines protect (moderator variable) behaviorally problematic children from poor treatment adherence, whereas the alternative model hypothesized that child routines mediate the relation between childhood behavior problems and poor treatment adherence. Methods Parents of T1DM patients (N = 111) ranging from 6 to 16 years of age (M = 12 years) reported on their child's behavior problems, routine behaviors, and adherence to treatment for T1DM using standardized measures. Baron and Kenny's statistical procedures for testing moderation and mediation hypotheses were used to evaluate the proposed models. Results Regression analyses did not support the moderation hypothesis but did support the hypothesis that engaging in child routines mediates the relation between childhood behavior problems and poor treatment adherence. Conclusions Parents of behaviorally problematic children diagnosed with T1DM might be advised to instill routines in their child's daily activities to increase the likelihood of treatment adherence, and thereby reduce the risk of morbidity and early mortality. Implications for clinical interventions are discussed.
Key words: adherence; behavior problems; children; diabetes; routines.
Type 1 diabetes (T1DM) is a chronic childhood disease that is managed by a series of behavioral tasks including blood glucose monitoring as many as
4 times a day, administering insulin doses via injections or from an intravenous pump, exercising regularly, and complying with a dietary regimen. All of these tasks require daily attention while also considering the child's body weight, age, and pubertal status (Silverstein et al., 2005
Although essential for establishing and maintaining optimal glycemic control, children and adolescents often feel overwhelmed by the complex and time-consuming treatment tasks required of them (Lemanek, Kamps, & Chung, 2001
). Developmental issues, patient and family variables, features of the healthcare system, and disease characteristics can further undermine young patients efforts to follow their prescribed regimen (Antisdel & Chrisler, 2000
; Cohen, Lumley, Naar-King, Partridge, & Cakan, 2004
; Kovacs, Goldston, Obrosky, & Bonar, 1997
). Psychosocial factors such as childhood behavior problems pose particularly serious threats (Cohen et al., 2004
; Kovacs, Charron-Prochownik, & Obrosky, 1995
; Liss et al., 1998
) because, as explained by family process theories, the unstructured home life that often accompanies childhood behavior problems can interfere with routinized behaviors (Hauser et al., 1990
; Klemp & La Greca, 1987
). This theory implies that living a more structured, routinized lifestyle might mitigate the negative impact of behavior problems on children's adherence to the rigid treatment regimen that is prescribed for T1DM. There is growing support for this hypothesis as child and family routines have been linked to lower risks for childhood behavior problems (Fiese & Wamboldt, 2000
; Moes & Frea, 2000
; Stewart & Meyers, 2004
).
Fiese and Wamboldt (2000
) suggest that children naturally adopt routines and thus, can successfully make the transition to a daily treatment plan for a chronic illness with their family's support and guidance. Routines are defined in this context as observable, repetitive interactions directly involving the child and one or more adults, occurring in a predictable and regular manner in the child's daily or weekly life (Sytsma, Kelley, & Wymer, 2001
). Such behaviors are recognized by their continuity, consistency, and little afterthought (Fiese et al., 2002
). Some routines may take on ritual significance across the lifespan; however, such symbolic meaning is not necessary for fostering treatment adherence (Denham, 2003
). Examples of child routines include eating meals regularly as a family, daily chores and homework, and bedtime routines. Given the number of daily treatment tasks required to manage T1DM, it seems intuitive that living a more routinized lifestyle would be conducive for increasing treatment adherence. Although not evaluated directly with youths diagnosed with T1DM, there is evidence that adolescents are in worse glycemic control during the summer months when they have less consistent daily routines (Boland, Grey, Mezger, & Tamborlane, 1999
).
Although it is hypothesized that children who exhibit ongoing behavior problems are less likely to follow a medical regimen because they lack daily routine behaviors (Kovacs et al., 1995
; Liss et al., 1998
), this hypothesis has never been tested empirically. Hence, the purpose of the present study was to test the hypothesis that engaging in child routines is related to better treatment adherence among pediatric diabetes patients who also present with behavior problems. More specifically, we propose and tested two theoretical models that might elucidate the underlying process for how child routines influence behaviorally problematic youths risk for poor treatment adherence. The first model hypothesized that engaging in child routines is a protective factor (moderator variable) for behaviorally problematic children's risk for poor treatment adherence; whereas the second model proposed that engaging in child routines mediates the relation between childhood behavior problems and poor treatment adherence. Although both models explain the role of child routines, each explains the nature of the role of routines differently. The first model conceptualizes child routines as a moderator variable; that is, engaging in child routines accounts for the strength or direction of the relation between behavior problems and treatment adherence (Baron & Kenny, 1986
). Perhaps, for example, the relation between behavior problems and poor treatment adherence is stronger for youths who lack routines than for those who engage in more daily routine behaviors. The second model conceptualizes child routines as a mediating variable; that is, engaging in child routines explains how and why behavior problems may be related to treatment adherence (Baron & Kenny, 1986
). Childhood behavior problems, for example, might interfere with establishing routines, which subsequently precludes treatment adherence.
In addition to the potential theoretical implications, testing these two models offers important clinical implications. Support for the mediation hypothesis, for example, would imply that behavioral interventions that focus on increasing the frequency of the patient's nondiabetes-related routine activities might promote treatment adherence. Support for the moderation hypothesis would not necessarily offer direct clinical applications per se, but could aid with identifying risk factors for poor treatment adherence which, in turn, could lead to further hypotheses about possible mediators (e.g., parental supervision) that could subsequently reveal directions for clinical interventions (Baron & Kenny, 1986
).
Factors that influence the adoption and frequency of child routines are important as they can influence interventions targeting such behaviors. One such factor that intuitively would be expected to affect routine practices is culture. Children from different cultures may exhibit fewer or more routine behaviors because their culture reinforces or dissuades them for engaging in such behaviors. Cross-cultural studies conducted to date suggest that cultures may differ in the expression of routine behaviors (e.g., conversations during family meals; Fiese et al., 2002
), but that routines are equally therapeutic for curtailing emotional and behavioral problems across different racial/ethnic groups (Brody & Flor, 1997
; Loukas & Prelow, 2004
). Although noteworthy, we are unable to infer from the current literature if there are racial/ethnic differences in the frequency of child routines or about the relation between culture, child routines, and health practices (Denham, 2003
).
Research on possible racial/ethnic differences in treatment adherence suggests that African-American youths may be at a greater risk for poor adherence to T1DM treatment than White youths (Auslander, Thompson, Dreitzer-White, & Santiago, 1997
; Delamater et al., 1999
). However, this finding has not necessarily been borne out in other studies (Harris, Greco, Wysocki, Elder-Danada, & White, 1999
). Rather, there tends to be more consistent empirical support for racial/ethnic differences in glycemic control, with African-American youths showing a tendency to be in poorer metabolic control than White youths (Auslander et al., 1997
; Davis et al., 2001
; Delamater et al., 1999
).
In summary, the goal of the present study was to evaluate two conceptual models hypothesized to explain the role of child routines in relation to childhood behavior problems and T1DM treatment adherence. The first modela moderation modelhypothesized that the strength and/or direction of the relation between childhood behavior problems and treatment adherence is influenced by child routines. The second modela mediation modelhypothesized that exhibiting childhood behavior problems is related to poor treatment adherence through the lack of routines in a child's daily life. Both of these models were evaluated using the analytic procedures recommended by Baron and Kenny (1986
) for testing moderation and mediation models. We also included a representative number of African-American and Caucasian youths to maximize the opportunity to examine possible racial/ethnic differences in the frequency of routines and adherence behaviors.
Although there is empirical evidence that medical patients who follow a more routine schedule are generally more compliant with their treatment regimen than patients who lack routines (Boyce et al., 1977
; Bush & Pargament, 1997
; Fiese & Wamboldt, 2000
; Moes & Frea, 2000
; Ryan & Wagner, 2003
), this is the first study known to date that attempted to examine the underlying psychological process for this relation with a pediatric diabetes population. In addition to the theoretical implications, the present findings offer important clinical implications including directions for improving treatment adherence among youths diagnosed with a life-threatening disease that requires intensive daily treatment for survival.
| Method |
|---|
|
|
|---|
Participants
Participants included parents accompanying their child for a routine appointment at a university-affiliated pediatric diabetes clinic. Exclusion criteria included (a) child diagnosed with T1DM
12 months, (b) child diagnosed with a comorbid chronic illness or type 2 diabetes, (c) child diagnosed with mental retardation, (d) the child attended the medical appointment alone or with someone other than a parent/legal guardian, and (e) the child <6 years of age. Two of the 116 parents invited to participate declined, citing lack of interest as the reason. Of the 114 patients who participated, 3 parents had incomplete data leaving a total of 111 participants.
The children ranged from 6 to 16 years of age (M = 12.30; SD = 3.69). Slightly more than half were female (55%) and approximately two-thirds were African-American (64%). The remaining participants were Caucasian. Seventy percent of the families were receiving medicaid and 30% had private insurance. Most of the respondents were mothers (n =87; 78%). The remaining respondents were either fathers (n = 10; 9%) or another family member who had legal custody of the child (n = 14; 13%). The mean length of time since the child was diagnosed with T1DM was 4.37 years (SD = 3.29). Most of the children and adolescents were treated with daily insulin injections (75%) and the remaining youths were treated with a subcutaneous insulin pump (25%). The sample composition was representative of the families treated in the clinic. Comparisons between participants and the families that participated, but were excluded from analyses because of incomplete data, revealed that there were no significant differences on the child's age and length of time since diagnosis, F(1,112) = .34 and.39, respectively, p > .05, as well as the child's gender and race/ethnicity,
2 (1, N = 114) = 2.85 and.60, respectively, p > .05.
Measures
Self-Care Inventory (SCI)
The SCI is a 14-item measure of adherence to treatment for T1DM, based on recommendations from the American Diabetes Association. Items refer to blood glucose monitoring, insulin administration, dieting, and exercising. Each item is rated on a 5-point Likert scale ranging from 1 (never do it) to 5 (always do as recommended without fail). Item responses are summed and then averaged to obtain an overall index of adherence. The SCI has been found to be internally consistent and correlates with metabolic control as well as interview measures of adherence (Greco et al., 1990
). The measure was also found to be internally consistent with the present sample, Cronbach
= .78.
Pediatric Symptom Checklist (PSC)
The PSC is a 35-item screening measure for emotional/behavioral problems in children and adolescents (Murphy et al., 1996
). Parents rate the frequency of 35 problem behaviors on a 3-point scale ranging from 0 (never) to 2 (often). A sum score of 28 or greater suggests significant psychosocial impairment for children between 6 and 16 years of age. The PSC has high internal consistency, Cronbach
= .89 and .91 (Jellinek & Murphy, 1988
; Stoppelbein et al., 2005
), and good reliability, r's = .77 to .91 (Murphy et al., 1996
; Stoppelbein et al., 2005
). Internal consistency was high with the present sample as well as comparable to other reports,
= .89.
Child Routines Questionnaire (CRQ)
The CRQ is a 39-item parent-report measure of the degree of routines in a child's daily activities. Items include routine behaviors that children and adolescents commonly exhibit in their daily lives (e.g., eating meals, homework, chores, personal hygiene, etc.). The CRQ has good test-retest reliability, r = .86, and high internal consistency, Cronbach
= .90 (Sytsma et al., 2001
). Internal consistency for the present sample,
= .95, was found to be comparable to findings reported for the validation sample.
Glycosylated hemoglobin (HbA1c)
Although not a focus of the study, HbA1c was used as an index of the child's mean blood glucose level for the past 23 months. Blood assays were evaluated using the DCA 2000 analyzer. HbA1c values can range from <2.5 to >14% and a normal range for patients seen in the clinic is 4.48%. Values exceeding 8% reflect poor glycemic control. HbA1c was included in analyses for descriptive purposes only.
Procedure
Parents of youths attending a routine medical appointment at a university-affiliated pediatric diabetes clinic completed a standard set of paper-and-pencil measures as part of the child's multidisciplinary assessment. The parents were informed that their completion of the measures was voluntary and would aid with making recommendations for improving their child's diabetes care. Institutional Review Board approval was obtained to analyze the clinical data prior to conducting analyses.
Statistical Analyses
Correlational analyses were conducted to test for multicollinearity among the demographic and disease-related variables and the variables of interest. Demographic and disease-related variables (i.e., child's age, gender, race/ethnicity, and the length of time since the child's medical diagnosis) that have been found to be related to treatment adherence in previous research were selected for inclusion in analyses (Auslander et al., 1997
; Delamater et al., 1999
; Hanson, De Guire, Schinkel, & Kolterman, 1995
; Miller-Johnson et al., 1994
; Palardy, Greening, Ott, Holderby, & Atchison, 1998
; Stewart et al., 2003
; Wiebe et al., 2005
; Wysocki & Gavin, 2006
). The variables of interest for testing the two proposed conceptual models included childhood behavior problems, child routines, and treatment adherence. The PSC, CRQ, and SCI were used to measure these three variables, respectively, because they are commonly used and well validated measures of the constructs. Glycemic control as measured by the child's HbA1c was included in analyses for descriptive purposes only.
Regression analyses were performed to evaluate the two conceptual models proposed to explain how child routines influence the relation between childhood behavior problems and poor treatment adherence. Both models derive from literature indicating that children with behavior problems are at a greater risk for poor treatment adherence (Cohen et al., 2004
; Kovacs et al., 1995
; Liss et al., 1998
). The first modelthe moderation hypothesishypothesizes that engaging in child routines acts as a buffer or a moderator variable for the relation between childhood behavior problems and poor treatment adherence. The second modelthe mediation hypothesishypothesizes that engaging in child routines mediates the relation between childhood behavior problems and poor treatment adherence. Age was included as a covariate in all analyses because it was found in preliminary correlational analyses to be related to treatment adherence (SCI).
To test the moderation model, the effect of the predictor variable (PSC; behavior problems) on the criterion variable (SCI; treatment adherence) was hypothesized to change linearly with respect to the moderator variable (CRQ; child routines). According to Baron and Kenny (1986
), the linear hypothesis is evaluated statistically by dichotomizing the predictor variable (PSC) and adding the cross-product of the moderator variable and the dichotomous predictor variable (CRQ x PSC) to a regression equation that includes the predictor variable (PSC) and the moderator variable (CRQ) as predictors of the criterion variable (SCI). The predictor variable (PSC) was dichotomized at the median split for the present analyses. A significant moderator effect is indicated by a significant effect for the interaction term (CRQ x PSC) while the predictor (PSC) and moderator (CRQ) variables are controlled statistically.
The second conceptual modelthe mediation hypothesiswas also evaluated using analytic procedures recommended by Baron and Kenny (1986
). A total of four regression equations were tested that included first, regressing the criterion variable (SCI) on to the predictor variable (PSC). Second, the mediator variable (CRQ) was regressed on to the predictor variable (PSC). Third, the criterion variable (SCI) was regressed on to the mediator (CRQ). And finally in the fourth step, the criterion variable (SCI) was regressed on to the predictor variable (PSC) and the mediator variable (CRQ) simultaneously. Support for a mediating effect occurs when (a) the predictor variable (PSC) is significantly related to the criterion variable (SCI) in the first regression analysis, (b) the mediator (CRQ) is significantly related to the predictor variable (PSC) in the second regression analysis, (c) the mediator variable (CRQ) is significantly related to the criterion variable (SCI) in the third regression analysis, and (d) when paths (a) and (b) are controlled in the fourth regression analysis, the previously significant relation between the predictor (PSC) and the criterion (SCI) variables is no longer statistically significant (Fig. 1). There is evidence of complete mediation if the relation between the predictor (PSC) and criterion (SCI) variables is zero after controlling for the mediator variable (CRQ) in the fourth regression analysis. If the relation only declines, then there is support for partial mediation. A Sobel (1982
) test is conducted to determine if the mediation effect is statistically significant. Due to skewed data, the SCI and CRQ scores were logarithmically transformed to approximate normal distributions.
|
| Results |
|---|
|
|
|---|
Descriptive Statistics
The children's mean and median HbA1c was 9.31% (SD = 2.20; range = 4.9 to > 14%); the modal level was 8.10%. The mean value is above the range recommended for good glycemic control but is comparable to averages reported in other studies (Cohen et al., 2004
Correlational analyses (Table I) revealed that age was positively related to the length of time since diagnosis (r = .31, p < .01) and glycemic control (HbA1c; r = .24, p < .01), and negatively related to treatment adherence (SCI; r = .24, p < .01). These findings indicate that older youths tended to be diagnosed with T1DM for a longer length of time, were in worse glycemic control, and were less likely to comply with their diabetes treatment regimen than younger youths do. Race/ethnicity was positively related to HbA1c (r = .27, p < .01), indicating that African-American youths tended to be in worse glycemic control than Caucasian youths. Behavior problems (PSC) were negatively related to child routines (CRQ; r = .36, p < .01) and treatment adherence (SCI; r = .21, p < .05), indicating that children with more behavior problems engaged in fewer routine behaviors and fewer treatment adherence behaviors. Child routines (CRQ) was found to be positively related to treatment adherence (SCI; r = .49, p < .01), suggesting that children who engaged in more routine behaviors tended to comply better with their T1DM treatment.
|
Regression Analyses
The regression equation testing the moderation hypothesis, that child routines is a buffer for behaviorally problematic children's risk for poor treatment adherence, was found to be statistically significant, F(4,107) = 10.49, p < .0001, and explained 28% of the variance in treatment adherence (Table II). The interaction term, CRQ x PSC, was evaluated to determine if child routines (CRQ) is a moderator variable for the relation between behavior problems (PSC) and treatment adherence (SCI), and was not found to be statistically significant, ß = .27, p > .05, while controlling for the main effects of age, behavior problems (PSC), and child routines (CRQ). This finding failed to provide empirical support for the moderation model that the level of child routines influences the strength or direction of the relation between childhood behavior problems and treatment adherence.
|
Tests for the mediation model revealed that (a) the predictor variable, behavior problems (PSC), was significantly related to the criterion variable, treatment adherence (SCI), ß = .21, p < .05, (b) the mediator variable, child routines (CRQ), was significantly related to the predictor variable, behavior problems (PSC), ß = .36, p < .001, (c) the mediator variable, child routines (CRQ), was significantly related to the criterion variable, treatment adherence (SCI) ß = .47, p < .001, and (d) the relation between the predictor variable, behavior problems (PSC), and the criterion variable, treatment adherence (SCI), was no longer statistically significant, ß = .05, p > .05, when controlling for the relation between the mediator, child routines (CRQ), and the criterion variable, treatment adherence (SCI). Furthermore, the relation between the mediator, child routines (CRQ), and the criterion variable, treatment adherence (SCI), was statistically significant, ß = .46, p < .001, while controlling for the predictor variable, behavior problems (PSC). The results support the hypothesis that child routines mediate the relation between childhood behavior problems and poor treatment adherence. A Sobel (1982
| Discussion |
|---|
|
|
|---|
Treatment for T1DM requires strict adherence to a series of tasks including daily blood glucose monitoring, insulin administrations, dietary restrictions, and exercise. Although clearly therapeutic, children and adolescents do not routinely comply with their treatment tasks because of the complexity and demands of the tasks. Youths with behavior problems are especially at risk for poor treatment adherence because, according to family process theories, behaviorally disordered youths tend to lack routines in their lives, which is hypothesized to compromise their compliance with a multifaceted treatment regimen that requires daily attention (Fiese et al., 2002
We did not find support for the hypothesis that engaging in child routines is a moderator variable but did find support for the mediation hypothesis that behavior problems may influence treatment adherence through child routines. As noted in the literature, children who lack routines tend to be at risk for more behavior problems (Fiese & Wamboldt, 2000
; Moes & Frea, 2000
; Stewart & Meyers, 2004
), and as revealed by the findings indicating a mediation effect, are also at risk for poor treatment adherence. This finding is noteworthy from a clinical perspective because it suggests that clinicians might focus on encouraging behaviorally problematic youths to develop routine nondiabetes- as well as diabetes-related activities to maximize the likelihood of treatment adherence. Parental involvement is strongly recommended to maximize the therapeutic benefit of child routines because many of the routine behaviors that children engage in involve the parents and family (e.g., eating meals as a family). Furthermore, family members are powerful reinforcers and role models for adopting routine behaviors (Denham, 2003
).
Fiese and Wamboldt (2000
) offer specific therapeutic guidelines for teaching families how to establish a routine lifestyle including planning activities, being organized, involving multiple family members in routine activities, and being flexible to developmental changes in the family unit. It is also important that clinicians help families recognize the critical aspects of the child's medical regimen, to identify someone to be responsible for each critical activity with the child (e.g., father and child), and to integrate the treatment plan into the child's and family's current routine activities. Some families already have established routines into which the diabetes treatment regimen can be integrated, whereas other families are disorganized and lack routines in their behavioral repertoire altogether. Each child and family should be evaluated before initiating therapy to determine their current level of routine practices (e.g., eating meals together regularly, etc.) and to select the most appropriate level of intervention. Such assessments should be conducted throughout treatment to evaluate the child's progress and to identify obstacles to establishing routine behaviors.
Youths and families from lower socioeconomic (SES) groups may be particularly susceptible to barriers to developing a routine lifestyle because of secondary adversities that can interfere with following a routine schedule. Clinicians might focus instead on teaching youths and families that are plagued by multiple psychosocial stressors how to solve and manage problems and to refer them to social service agencies to help alleviate some of the psychosocial problems that might compromise their routine behaviors. Helping these children and their families establish some semblance of order and organization may also help prevent further stress in their lives (Fiese et al., 2002
; Markson & Fiese, 2000
; Steinglass, Bennett, Wolin, & Reiss, 1987
). In addition to SES, clinicians might be aware of cultural practices that could influence the expression of child routines (Fiese et al., 2002
). However, they may not need to be concerned about racial/ethnic differences in the frequency of routine behaviors, as we did not find a difference between African-American and Caucasian youths in their rate of daily routines. We did find a difference, however, in glycemic control, with African-American youths showing a tendency to be in worse glycemic control than Caucasian youths. This finding is consistent with similar reports in the literature (Auslander et al., 1997
; Davis et al., 2001
; Delamater et al., 1999
) and underscores the merit of biopsychosocial research investigating the processes underlying this health disparity.
Although not the focus of the present study, it is noteworthy that the magnitude of the correlation between glycemic control and treatment adherence was low. This observation is consistent with low and equivocal correlations reported in the literature (Allen, Tennen, McGrade, Affleck, & Ratzan, 1983
; Cohen et al., 2004
; Hanson et al., 1996
, 1987a
; Hanson, Henggeler, & Burghen, 1987b
; Johnson et al., 1992
; Kaufman, Halvorson, & Carpenter, 1999
; Lewin et al., 2006
; Littlefield et al., 1992
; Pendley et al., 2002
; Stewart, Emslie, Klein, Haus, & White, 2005
; Stewart et al., 2003
; Thomas, Peterson, & Goldstein, 1997
; Weist, Finney, Barnard, Davis, & Ollendick, 1993
; Wiebe et al., 2005
), and illustrates how glycemic control may be influenced by multiple factors (e.g., emotional stress, insulin resistance, etc.; Amiel, Sherwin, Simonson, Lauritano, & Tamborlane, 1986
; Hamilton & Daneman, 2002
; Lewin et al., 2006
; Wysocki et al., 2003
). Despite this shortcoming, treatment adherence has clearly been linked to better health outcomes in youths diagnosed with T1DM and supports investigating effective approaches to promoting treatment adherence early in development (DCCT, 1994
).
Methodological Limitations
Using parental reports of the child's behavior, routines, and treatment adherence limits conclusions about the findings because the parents may not necessarily be the most accurate informants for certain types of symptoms in their children. Furthermore, parents may lack sufficient knowledge about their adolescent child's behavior because they may not be able to supervise them as closely as younger children. Another limitation is the study's focus on children with diabetes. Hence, further research is recommended to help maximize generalizations to a cross-section of pediatric conditions and with using multiple informants.
The sample's low SES raises questions about possible confounds including a greater risk for behavior problems because of secondary adversities. The children's mean score for behavior problems, however, was in the nonclinical range, suggesting that the sample was not necessarily a biased one. Nevertheless, the sample's low SES does preclude generalizing the findings to other SES groups. Further research is recommended with families from a broader range of SES groups to maximize generalizations.
Finally, the present cross-sectional design precluded conducting a true test of the mediation hypothesis and thus, inferring cause and effect conclusions. A true test would require testing patients at the time that they develop behavior problems and following them longitudinally to determine the impact of their behavior problems on routine behaviors and on their level of treatment adherence. Although causal inferences are precluded, the present findings offer empirical support for examining the relation among these variables longitudinally.
| Conclusion |
|---|
|
|
|---|
According to the present data, child routines may influence behaviorally problematic youths risk for poor adherence to T1DM treatment. Typically, treatments designed to reduce childhood behavior problems involve contingency management programs that target increasing the number of pro-social behaviors and decreasing the number of problematic behaviors that children exhibit. Perhaps children diagnosed with T1DM who exhibit behavior problems in addition to poor treatment adherence may benefit from a behavioral program that targets reducing their behavior problems and that also instills routine behaviors in their daily activities. Clinicians and parents are also encouraged to cultivate child routines early in development because it may reduce the risk for parentchild conflicts later in adolescence, which can further compromise treatment adherence (Dubas & Gerris, 2002
Although living a more routinized lifestyle was found to mediate the relation between behavior problems and treatment adherence behaviors, engaging in child routines was not found to be related to glycemic control. Nevertheless, this finding does not minimize the importance of treatment adherence in attaining optimal glycemic control. Longitudinal research has borne out that strict adherence to T1DM treatment significantly reduces the risk of morbidity and early mortality among young patients (DCCT, 1993
, 1994
). Hence, identifying predictors of treatment adherence offers important short- and long-term health benefits for people with T1DM. Future research might include longitudinal studies testing child routines as a mediator variable for the relation between behavior problems and treatment adherence to maximize causal inferences. In the meantime, encouraging patients to establish daily routines may be one practical tool for parents and clinicians to utilize to promote treatment adherence early in development when long-standing healthcare habits are typically established.
Conflict of Interest: None declared.
Received March 8, 2006; revision received June 19, 2006; revision received August 2, 2006; accepted August 17, 2006
| References |
|---|
|
|
|---|
Allen DA, Tennen A, McGrade BJ, Affleck G, Ratzan S. (1983) Parent and child perceptions of the management of juvenile diabetes. Journal of Pediatric Psychology 8:129141.
Amiel SA, Sherwin RS, Simonson DC, Lauritano AA, Tamborlane WV. (1986) Impaired insulin action in puberty: A contributing factor to poor glycemic control in adolescents with diabetes. The New England Journal of Medicine 315:215219.[Abstract]
Antisdel JE and Chrisler JC. (2000) Comparison of eating attitudes and behaviors among adolescent and young women with type I diabetes mellitus and phenylketonuria. Journal of Developmental and Behavioral Pediatrics 21:8186.[Web of Science][Medline]
Auslander WF, Thompson S, Dreitzer-White NH, Santiago JV. (1997) Disparity in glycemic control and adherence between African-American and Caucasian youths with diabetes. Diabetes Care 20:15691574.[Abstract]
Baron RM and Kenny DA. (1986) The moderator-mediator variable distinction in social psychological research: Conceptual, strategic and statistical considerations. Journal of Personality and Social Psychology 51:11731182.[CrossRef][Web of Science][Medline]
Boland EA, Grey M, Mezger J, Tamborlane WV. (1999) A summer vacation from diabetes: Evidence from a clinical trial. Diabetes Educator 25:3140.
Boyce WT, Jensen EW, Cassel JC, Collier AM, Smith AH, Ramey CT. (1977) Influence of life events and family routines on childhood respiratory tract illness. Pediatrics 60:609615.
Brody GH and Flor DL. (1997) Maternal psychological functioning, family processes, and child adjustment in rural, single-parent, African American families. Developmental Psychology 33:10001011.[CrossRef][Web of Science][Medline]
Bush EG and Pargament KI. (1997) Family coping with chronic pain. Families, Systems, & Health 15:147160.[CrossRef]
Cohen DM, Lumley MA, Naar-King S, Partridge T, Cakan N. (2004) Child behavior problems and family functioning as predictors of adherence and glycemic control in economically disadvantaged children with type 1 diabetes: A prospective study. Journal of Pediatric Psychology 29:171184.
Davis CL, Delamater AM, Shaw KH, La Greca AM, Eidson MS, Perez-Rodriquez JE, et al. (2001) Brief report: Parenting styles, regimen adherence, and glycemic control in 4- to 10-year-old children with diabetes. Journal of Pediatric Psychology 26:123129.
Daviss WB, Coon H, Whitehead P, Ryan K, Burkley M, McMahon W. (1995) Predicting diabetic control from competence, adherence, adjustment, and psychopathology. Journal of the American Academy of Child and Adolescent Psychiatry 34:16291636.[CrossRef][Web of Science][Medline]
Delamater AM, Shaw K, Applegate EB, Pratt I, Eidson M, Lancelotta G, et al. (1999) Risk for metabolic control problems in minority youth with diabetes. Diabetes Care 22:700705.
Denham SA. (2003) Relationships between family rituals, family routines, and health. Journal of Family Nursing 9:305330.[Abstract]
Diabetes Control and Complications Trial Research Group. (1993) The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus. New England Journal of Medicine 329:977986.
Diabetes Control and Complications Trial Research Group. (1994) Effect of intensive diabetes treatment on the development and progression of long-term complications in adolescents with insulin-dependent diabetes mellitus. Journal of Pediatrics 125:177188.[CrossRef][Web of Science][Medline]
Dubas JS and Gerris JRM. (2002) Longitudinal changes in the time parents spend in activities with their adolescent children as a function of child age, pubertal status, and gender. Journal of Family Psychology 16:415427.[CrossRef][Web of Science][Medline]
Fiese BH, Tomcho TH, Douglas M, Josephs K, Poltrock S, Baker T. (2002) A review of 50 years of research on naturally occurring family routines and rituals: Cause for celebration? Journal of Family Psychology 16:381390.[CrossRef][Web of Science][Medline]
Fiese BH and Wamboldt FS. (2000) Family routines, rituals, and asthma management: A proposal for family-based strategies to increase treatment adherence. Families, Systems, & Health 18:405418.
Greco P, La Greca AM, Auslander WF, Spetter D, Skyler JS, Fisher E, et al. (1990) Assessing adherence in IDDM: A comparison of two methods. Diabetes 40:(Suppl 2), 108A.
Hamilton J and Daneman D. (2002) Deteriorating diabetes control during adolescence: Physiological or psychosocial? Journal of Pediatric Endocrinology and Metabolism 15:115126.
Hanson CL, De Guire MJ, Schinkel AM, Kolterman OG. (1995) Empirical validation for a family-centered model of care. Diabetes Care 18:13471356.[Abstract]
Hanson CL, De Guire MJ, Schinkel AM, Kolterman OG, Goodman JP, Buckingham BA. (1996) Self-care behaviors in insulin-dependent diabetes: Evaluative tools and their associations with glycemic control. Journal of Pediatric Psychology 21:467482.
Hanson CL, Henggeler SW, Burghen GA. (1987a) Social competence and parental support as mediators of the link between stress and metabolic control in adolescents with insulin-dependent diabetes mellitus. Journal of Consulting and Clinical Psychology 55:529533.[CrossRef][Web of Science][Medline]
Hanson CL, Henggeler S, Burghen GA. (1987b) Model of associations between psychosocial variables and health-outcome measures of adolescents with IDDM. Diabetes Care 10:752758.[Abstract]
Harris MA, Greco P, Wysocki T, Elder-Danada C, White NH. (1999) Adolescents with diabetes from single-parent, blended, and intact families: Health-related and family functioning. Families, Systems, & Health 17:181196.[CrossRef]
Hauser ST, Jacobsen AM, Lavori P, Wolfsdorf JI, Herskowitz RD, Milley JC, et al. (1990) Adherence among children and adolescents with insulin-dependent diabetes mellitus over a four-year longitudinal follow-up: II. Immediate and long-term linkages with the family milieu. Journal of Pediatric Psychology 15:527542.
Jellinek MS and Murphy JM. (1988) Screening for psychosocial disorders in pediatric practice. American Journal of Diseases of Children 142:11531157.[Web of Science][Medline]
Johnson SB, Kelly M, Henretta JC, Cunningham WR, Tomer A, Silverstein JH. (1992) A longitudinal analysis of adherence and health status in childhood diabetes. Journal of Pediatric Psychology 17:537553.
Kaufman FR, Halvorson M, Carpenter S. (1999) Association between diabetes control and visits to a multidisciplinary pediatric diabetes clinic. Pediatrics 103:948951.
Klemp SB and La Greca AM. (1987) Adolescents with IDDM: The role of family cohesion and conflict. Diabetes 36:18A.
Kovacs M, Charron-Prochownik D, Obrosky DS. (1995) A longitudinal study of biomedical and psychosocial predictors of multiple hospitalizations among young people with insulin-dependent diabetes mellitus. Diabetic Medicine 12:142148.[Web of Science][Medline]
Kovacs M, Goldston D, Obrosky DS, Bonar LK. (1997) Psychiatric disorders in youths with IDDM: Rates and risk factors. Diabetes Care 20:3644.[Abstract]
La Greca AM, Auslander WF, Greco P, Spetter D, Fisher EB Jr, Santiago JV. (1995) I get by with a little help from my family and friends: Adolescents support for diabetes care. Journal of Pediatric Psychology 20:449476.
Lemanek KL, Kamps J, Chung NB. (2001) Empirically supported treatments in pediatric psychology: Regimen adherence. Journal of Pediatric Psychology 26:253275.
Leonard BJ, Jang Y, Savik K, Plumbo MA. (2005) Adolescents with type I diabetes: Family functioning and metabolic control. Journal of Family Nursing 11:102121.
Lewin AB, Heidgerken AD, Geffken GR, Williams LB, Storch EA, Gelfand KM, et al. (2006) The relation between family factors and metabolic control: The role of diabetes adherence. Journal of Pediatric Psychology 31:174183.
Liss DS, Waller DA, Kennary B, McIntire D, Capra P, Stephens J. (1998) Psychiatric illness and family support in children and adolescents with diabetic ketoacidosis: A controlled study. Journal of the American Academy of Child and Adolescent Psychiatry 37:536544.[CrossRef][Web of Science][Medline]
Littlefield CH, Craven JL, Rodin GM, Daneman D, Murray MA, Rydall AC. (1992) Relationship between self-efficacy and bingeing to adherence to diabetes regimen among adolescents. Diabetes Care 15:9094.[Abstract]
Loukas A and Prelow HM. (2004) Externalizing and internalizing problems in low-income Latino early adolescents: Risk, resource and protective factors. Journal of Early Adolescence 24:250273.[Abstract]
Markson S and Fiese BH. (2000) Family rituals as a protective factor for children with asthma. Journal of Pediatric Psychology 25:471479.
Miller-Johnson S, Emery RE, Marvin RS, Clarke W, Lovinger R, Martin M. (1994) Parentchild relationships and the management of insulin-dependent diabetes mellitus. Journal of Consulting and Clinical Psychology 62:603610.[CrossRef][Web of Science][Medline]
Moes DR and Frea WD. (2000) Using family context to inform intervention planning for the treatment of a child with autism. Journal of Positive Behavior Interventions 2:4046.
Murphy JM, Ichinose C, Hicks RC, Kingdon D, Crist-Whitzel J, Jordan P, et al. (1996) Utility of the pediatric symptom checklist as a psychosocial screen in EPSDT standards: A pilot study. Journal of Pediatrics 129:864869.[CrossRef][Web of Science][Medline]
Palardy N, Greening L, Ott J, Holderby A, Atchison J. (1998) Adolescents health attitudes and adherence to treatment for insulin-dependent diabetes mellitus. Journal of Developmental and Behavioral Pediatrics 19:3137.[Web of Science][Medline]
Pendley JS, Kasmen LJ, Miller DL, Donze J, Swenson C, Reeves G. (2002) Peer and family support in children and adolescents with type I diabetes. Journal of Pediatric Psychology 27:429438.
Ryan GW and Wagner GJ. (2003) Pill taking routinization: A critical factor to understanding episodic medication adherence. AIDS Care 15:795806.[CrossRef][Web of Science][Medline]
Silverstein J, Klingensmith G, Copeland K, Plotnick L, Kaufman F, Laffel L, et al. (2005) Care of children and adolescents with type I diabetes: A statement of the American Diabetes Association. Diabetes Care 28:186212.
Sobel ME. (1982) Asymptotic confidence intervals for indirect effects in structural equation models. In Leinhardt S (Ed.). Sociological methodology.(American Sociological Association, Washington DC) pp. 209312.
Steinglass P, Bennett LA, Wolin SJ, Reiss D. (1987) The alcoholic family.(Basic Books, New York).
Stewart SM, Emslie GJ, Klein D, Haus S, White P. (2005) Self-care and glycemic control in adolescents with type I diabetes. Children's Health Care 34:235244.[CrossRef][Web of Science]
Stewart SM, Lee PWH, Waller D, Hughes CW, Low LCK, Kennard BD, et al. (2003) Follow-up study of adherence and glycemic control among Hong Kong youths with diabetes. Journal of Pediatric Psychology 28:6779.
Stewart KB and Meyers L. (2004) Parentchild interactions and everyday routines in young children with failure to thrive. American Journal of Occupational Therapy 58:342346.[Web of Science][Medline]
Stoppelbein L, Greening L, Jordan SS, Elkin TD, Moll G, Pullen J. (2005) Factor analysis of the pediatric symptom checklist with a chronically ill pediatric population. Journal of Developmental and Behavioral Pediatrics 26:349355.[CrossRef][Web of Science][Medline]
Sytsma SE, Kelley ML, Wymer JH. (2001) Development and initial validation of the child routines inventory. Journal of Psychopathology and Behavioral Assessment 23:241251.[CrossRef][Web of Science]
Thomas AM, Peterson L, Goldstein D. (1997) Problem solving and diabetes regimen adherence by children and adolescent with IDDM in social pressure situations: A reflection of normal development. Journal of Pediatric Psychology 22:541561.
Weist MD, Finney JW, Barnard MU, Davis CD, Ollendick TH. (1993) Empirical selection of psychosocial treatment targets for children and adolescents with diabetes. Journal of Pediatric Psychology 18:1128.
Wiebe DJ, Berg CA, Korbel C, Palmer DL, Beveridge RM, Beveridge RM, et al. (2005) Children's appraisals of maternal involvement in coping with diabetes: Enhancing our understanding of adherence, metabolic control, and quality of life across adolescence. Journal of Pediatric Psychology 30:167178.
Wysocki T and Gavin L. (2006) Paternal involvement in the management of pediatric chronic diseases: Associations with adherence, quality of life, and health status. Journal of Pediatric Psychology 31:501516.
Wysocki T, Greco P, Buckloh LM. (2003) Childhood diabetes in psychological context. In Roberts MC (Ed.). Handbook of pediatric psychology. 3rd (Guilford, New York) pp. 304320.
![]()
CiteULike
Connotea
Del.icio.us What's this?
This article has been cited by other articles:
![]() |
A. B. Lewin, A. M. LaGreca, G. R. Geffken, L. B. Williams, D. C. Duke, E. A. Storch, and J. H. Silverstein Validity and Reliability of an Adolescent and Parent Rating Scale of Type 1 Diabetes Adherence Behaviors: The Self-Care Inventory (SCI) J. Pediatr. Psychol., October 1, 2009; 34(9): 999 - 1007. [Abstract] [Full Text] [PDF] |
||||
![]() |
V. S Helgeson and A. Takeda Brief Report: Nature and Implications of Personal Projects Among Adolescents With and Without Diabetes J. Pediatr. Psychol., October 1, 2009; 34(9): 1019 - 1024. [Abstract] [Full Text] [PDF] |
||||
![]() |
V. S. Helgeson, L. Siminerio, O. Escobar, and D. Becker Predictors of Metabolic Control among Adolescents with Diabetes: A 4-Year Longitudinal Study J. Pediatr. Psychol., April 1, 2009; 34(3): 254 - 270. [Abstract] [Full Text] [PDF] |
||||
![]() |
K. Malee, P. L. Williams, G. Montepiedra, S. Nichols, P. A. Sirois, D. Storm, J. Farley, B. Kammerer, and PACTG 219C Team The Role of Cognitive Functioning in Medication Adherence of Children and Adolescents with HIV Infection J. Pediatr. Psychol., March 1, 2009; 34(2): 164 - 175. [Abstract] [Full Text] [PDF] |
||||
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||

