PEDIATRICS Vol. 117 No. 4 April 2006, pp. 1348-1358 (doi:10.1542/peds.2005-1398)
Prevalence and Correlates of Depressed Mood Among Youth With Diabetes: The SEARCH for Diabetes in Youth Study
a Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California
b Children's Hospital Medical Center, Cincinnati, Ohio
c Children's Hospital and Regional Medical Center, Seattle, Washington
d Barbara Davis Center for Childhood Diabetes, University of Colorado Health Sciences Center, Denver, Colorado
e Division of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
f Department of Public Health Sciences, Wake Forest University Health Sciences, Winston-Salem, North Carolina
g Arnold School of Public Health, University of South Carolina, Columbia, South Carolina
h Pacific Health Research Institute, Honolulu, Hawaii
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ABSTRACT |
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OBJECTIVE.The objective of this study was to determine if depressed mood among youth with diabetes was associated with type and duration of diabetes, mean glycosylated hemoglobin (HbA1c) level, and the frequency of diabetic ketoacidosis (DKA) and hypoglycemic episodes, hospitalizations, and emergency department (ED) visits.
METHODS.A total of 2672 youth (aged 10–21 years) who had diabetes for a mean duration of 5 years completed a SEARCH study visit, in which their HbA1c was measured and information about their demographic characteristics, diabetes type and duration, and episodes of DKA, hypoglycemia, hospitalizations, and ED visits over the previous 6 months was collected. Their level of depressed mood was measured using the Center for Epidemiologic Studies Depression Scale (CES-D).
RESULTS.Among these youth, 14% had mildly (CES-D 16–23) and 8.6% had moderately or severely (CES-D 
24) depressed mood. Females had a higher mean CES-D score than males. After adjusting for demographic factors, and duration of diabetes, we found the prevalence of depressed mood to be higher among males with type 2 diabetes than those with type 1 diabetes and to be higher among females with comorbidities than those without comorbidities. Higher mean HbA1c and frequency of ED visits were associated with depressed mood. The prevalence of depressed mood among youth with diabetes was similar to that of published estimates of depressed mood among youth without diabetes.
CONCLUSIONS.Physicians and other health care professionals should consider screening youth with diabetes for depressed mood in clinical settings, particularly youth with poor glycemic control, those with a history of frequent ED visits, males with type 2 diabetes, and females with comorbidities.
Key Words: adolescent depression • diabetes type 1 • diabetes type 2 • health service utilization
Abbreviations: HbA1c—mean glycosylated hemoglobin • DKA—diabetic ketoacidosis • ED—emergency department • CES-D—Center for Epidemiologic Studies Depression • MODY—maturity-onset diabetes of youth • CDC—Centers for Disease Control and Prevention • ORs—odds ratios • CIs—confidence intervals
Diabetes mellitus is 1 of the 3 most prevalent chronic diseases among youth, with the majority of affected youth having type 1 diabetes.1 Although numerous studies have shown an association between diabetes and depression among adults,2–6 only a few studies of depression have been conducted among youth with diabetes. Most have been small cross-sectional studies and have included only youth with type 1 diabetes. In a longitudinal study, Kovacs et al7 estimated that rates of psychiatric disorders were up to 3 times higher among youth with diabetes than among unaffected youth, with major depression accounting for the largest proportion of these disorders. Norris and Klingensmith8 found that, like among adults, adolescents with diabetes have more depression than those without diabetes and that rates of depression are higher among females than among males. The extent of the association between metabolic control and depression among adolescents remains unclear. In a review article on this topic, Dantzer et al9 reported that only 210, 11 of 8 studies found an association between depression and poor metabolic control. La Greca et al12 reported that gender-related differences in metabolic control during adolescence were associated with differences in the frequency of depressive symptoms, with female adolescents experiencing more depressive symptoms and poorer metabolic control than males.
Estimates of the prevalence of depressed mood among youth vary by study design, the screening or diagnostic tool used, the diagnostic criteria used, and the training of the interviewers.13 Estimates of the point prevalence of depressive disorders among adolescents range from 2% to 10%,14, 15 whereas the cumulative prevalence of depression during the adolescent period has been reported to be as high as 20%.16 Depression during adolescence has been associated with a variety of factors, including female gender, race or ethnicity other than non-Hispanic white, not living with both parents, lower parental education level, and lower socioeconomic status.14, 17–21
In this study, we examined the prevalence of depressed mood among youth with diabetes and explored the associations between depressed mood among youth with diabetes and the duration and type of diabetes, mean glycosylated hemoglobin (HbA1c) level, comorbidities, use of psychiatric medications, and frequency of diabetic ketoacidosis (DKA) hypoglycemia, emergency department (ED) visits and hospitalizations in the previous 6 months after adjusting for sociodemographic variables that have been associated with depressed mood in published studies.
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METHODS |
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Study Overview and Procedures
Data for these analyses derive from SEARCH for Diabetes in Youth (SEARCH), a multicenter study that began conducting population-based ascertainment of youth with nongestational clinically diagnosed diabetes who were <20 years of age in 2001 and is continuing to enroll youth with newly diagnosed diabetes through 2005.22 SEARCH recruited youth with diabetes from geographically defined populations in Ohio, Washington, South Carolina, and Colorado; Indian Health Service beneficiaries from 4 American Indian populations; and enrollees in managed health care plans in Hawaii and southern California.
Of the 8784 youth newly diagnosed with diabetes through December 31, 2003, that were identified by SEARCH whose diabetes was not secondary to other conditions, 3866 (44%) participated in a SEARCH study visit. Reasons for nonparticipation included a decision by youth or their parents/guardians not to participate, the nonresponse of potential participants after repeated attempts to contact them by telephone or mail, and lack of contact information on potential participants because of privacy rules of the Health Insurance Portability and Accountability Act (HIPAA).
Before the study was implemented, Institutional Review Board(s) for each site approved the study protocol. At the time of the study visit, informed consent was obtained from participants aged 18 or older and from the parent/guardian of participants aged 17 or younger, and physical measurements and fasting blood samples were taken. Interviewers elicited information about participants' demographic characteristics, comorbidities and complications, current treatment and medications, and use of health care services. Participants who were at least 10 years of age completed the Center for Epidemiologic Studies Depression (CES-D) scale. CES-D scores were not determined for youth from 1 of the 4 Native American sites because an abbreviated study protocol that did not include the CES-D was implemented in that location. Those participants who scored high on the CES-D were referred to mental health services in accordance with site-specific guidelines, and their parents/guardians were notified if they were minors. All study questionnaires were administered in the preferred language of the participant, which was English or Spanish in most cases
CES-D
The CES-D is a 20-item scale originally developed to measure depressive symptomatology in adult populations,23 and it has subsequently been used in studies of youth as young as 12 years of age.17, 20, 24, 25 Respondents are asked how often they experienced 16 symptoms of depression and 4 symptoms of mental well-being during the previous week using a 4-point Likert scale (0, 1, 2, and 3). Their responses to each item are then added to create a single composite score, ranging from 0 to 60. In adult populations, a score of 16 or higher has been used to identify persons with depressive symptoms.23 When this cut point has been used for studies of adolescents, it has yielded rates of depressed mood that have approached 50%, and reports on its sensitivity and specificity have been mixed.26–29 A cut point of 24 for adolescents was suggested to improve the correlation of "depressed mood" as determined by the CES-D with "depression" as defined by the Diagnostic and Statistical Manual of Mental Disorders.30 Rushton et al19 adopted this cut point to stratify depression severity as minimally (0–15), mildly (16–23), and moderately/severely (24–60). We used their 3-category stratification for the present study.
Participants' type of diabetes was based on the clinical diagnosis made by their physician or other health care provider and was collected from these providers, abstracted from medical charts, or reported by the participant. Youth with a clinical diagnosis of type 1a, type 1b, or type 1 diabetes were considered to have "type 1," whereas those with a diagnosis of type 2 or maturity-onset diabetes of youth (MODY) were considered to have "type 2." Youth with a clinical diagnosis of other or unknown types of diabetes and those whose type was missing were considered to have diabetes of "other/unknown/missing type."
We considered participants to have comorbidities (kidney disease, celiac disease, hypertension, asthma, or polycystic ovarian syndrome) if they reported having been diagnosed with 1 of these conditions. Participants or their parents/guardians reported the number of hospitalizations and ED visits and episodes of DKA and severe hypoglycemia that participants experienced in the previous 6 months. Hospitalizations and ED visits were not restricted to those for diabetes. Participants were also asked to report all prescribed medications that they were currently taking. Medications that fit into the antidepressant, antianxiety, or antipsychotic/antimanic drug classes were considered to be psychiatric medications.
Glycemic Control
Blood samples were processed locally and shipped on ice to a central laboratory (Northwest Lipid Laboratory, University of Washington, Seattle, WA) for analysis. A dedicated ion exchange unit, Variant II (Bio-Rad; Diagnostics, Hercules, CA), quantified the HbA1c. The reference range for normal HbA1c values is 3.9% to 6.1%. Optimal goals for HbA1c in youth are <8.0% for 10- to 12-year-olds, <7.5% for 13- to 18-year-olds, and <7.0% for >18-year-old.31
We calculated participants' body mass index (BMI) by dividing their measured weight in kilograms by their measured height in meters squared. We defined overweight as a BMI at or above the 95th percentile for one's gender and age based on algorithms prepared by the US Centers for Disease Control and Prevention (CDC) from 2000 CDC growth chart data.32, 33
Participants' race and ethnicity, ascertained from the standard census questions,34 parental education, household income, family composition, and insurance status were ascertained from participants' self-reports. Participants were categorized as living in a 2-parent household, a 1-parent household, or other living situation. Their insurance status was classified as private insurance (provided by an employer or purchased by the participant or their family), state-funded (a category that included Medicaid, Medicare, and other state funded sources), other forms (including Indian Health Service, student health clinics, military, or other/unknown sources), and no insurance.
Statistical Analysis
We used SAS 8.02 (SAS Institute, Cary, NC) for all statistical analyses. Analysis of variance and t tests were used to test for significant differences in continuous variables and 
2 analyses for differences in categorical variables. Polychotomous logistic-regression analyses were used to adjust for potential confounders when examining the associations between diabetes-related factors (diabetes type and duration) and the 3 levels of depressed mood. In these models, participants with minimally depressed mood (defined as a CES-D score of <16) served as the reference group for those in the 2 higher categories of depressed mood. Odds ratios (ORs) and 95% confidence intervals (CIs) are shown for these models. Level of depressed mood is the dependent variable for these analyses.
We used Poisson regression to estimate the risk ratios for episodes of DKA, hypoglycemia, hospitalizations, and ED visits and the general linear model procedure to calculate the least square means HbA1c among participants with mildly and moderately/severely depressed mood compared with participants with minimally depressed mood. Level of depressed mood is an independent variable in these models. Analyses were limited to youth with diabetes for at least 1 year because we wanted to exclude events associated with diagnosis and the acute phase of the preliminary illness. In addition to demographic and diabetes-related variables, these models were adjusted for participants' use of psychiatric medication because of a suggestion by Musselman et al35 that glucose regulation may be affected by depression.
For all of the models described here, participants for whom we had incomplete information on the covariates of interest were excluded from the models.
Because the CES-D was administered to youth as young as 10 years of age, we compared the internal consistency of the scale for youth aged 10 to 11 years of age with that for youth in the other age strata using Cronbach's 
.36 Because females are known to have higher rates of depression, we stratified all analyses by gender. Results that apply to only 1 gender have that gender indicated in parentheses. Of the 2813 youth aged 10 years or older who completed the study visit in the sites where the CES-D was administered, 2672 (95%) had a valid score on the CES-D.
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RESULTS |
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The study sample consisted of 2672 youth with a mean age of 15.3 years (range: 10–21 years); the racial/ethnic distribution of the population was 67% non-Hispanic white, 14% Hispanic, 10% black, and 9% other or unknown races (Table 1). Of the 245 youth in the other/unknown race category, 82 (33%) were Asian/Pacific Islander, 90 (37%) were Native American, and 73 (30%) either did not report their race/ethnicity or reported being of mixed or other racial heritage (data not shown). The majority of the participants had type 1 diabetes. The mean duration of participants' diabetes was just over 5 years for all types combined. Six percent of the youth in the study were taking psychiatric medication.
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Compared with participants with type 1 diabetes, those with type 2 or other types of diabetes were significantly (P < .05) more likely to be of a race/ethnicity other than non-Hispanic white (24.8% of those with type 1 versus 81.4% of those with type 2 and 42.9% of those with other types), to have a shorter duration of diabetes (mean duration: 66.2 vs 30.6 and 35.0 months), to be overweight (10.8% vs 62.4% and 37.1%), and less likely to have private insurance (82.4% vs 52.9% and 48.6%). Youth with type 1 diabetes were significantly younger than youth with type 2 diabetes (mean age: 15.0 vs 16.8 years) but not significantly younger than youth with other types of diabetes (mean age: 15.7 years).
Participants' mean score on the CES-D was 10.7 ± 8.6 (range: 0–50; median: 8.5) (Table 2); 77.4% reported no or few depressed symptoms ("minimal depressed mood"), 14.0% were mildly depressed, and 8.6% were moderately/severely depressed The mean score was higher for females than males (P < .001). The Cronbach's values by age group were: 10 to 11 years, .85; 12 to 15 years, .79; 16 to 18 years, .74; and 19 years, .79. The Cronbach's for all age groups exceeded Nunnally's37 suggested threshold value of .70.
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Demographic factors associated with a higher prevalence of depressed mood were female gender (Table 2), higher current age (females only), race/ethnicity other than non-Hispanic white, lower parental education, lower household income, not having private insurance, being overweight, and being from a 1-parent family (females only) (Table 3). The use of psychiatric medication was strongly associated with depressed mood (P < .001). Diabetes-related factors associated with level of depressed mood were having type 2 or other/unknown/missing type of diabetes rather than type 1, having a high HbA1c level, and having comorbid conditions. Mean duration of diabetes was not associated with level of depressed mood for all youth in the sample, and it was not associated with depressed mood when stratified by gender and diabetes type (data not shown). Number of hospitalizations (females only) and number of ED visits were also associated with level of depressed mood.
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In the unadjusted models, having type 2 or other/missing/unknown types of diabetes was associated with mildly and moderately/severely depressed mood among females, and the presence of comorbid conditions was associated with moderately/severely depressed mood among males and females (data not shown). After adjusting for demographic covariates and factors related to diabetes (Table 4), we found that males with type 2 diabetes (n = 133) were 3.48 times more likely to have moderately/severely depressed mood than were males with type 1 (95% CI: 1.56–7.77) and that females with comorbidities (n = 303) were 1.59 times more likely to have mildly depressed mood and 2.28 times more likely to have moderately/severely depressed mood than were females without comorbidities (95% CI: 1.10–2.28 and 1.71–3.88, respectively).
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Males and females with mildly depressed mood and males with moderately/severely depressed mood also had higher mean HbA1c levels than males and females with minimal depressed mood. We did not include the use of psychiatric medication as a covariate in the model described here because we wanted to examine the associations between diabetes-related factors and the symptoms of depressed mood as measured by the CES-D. However, the results were quite similar in an analysis that included psychiatric medication as a covariate (data not shown).
The associations between level of depressed mood and mean HbA1c, number of episodes of DKA and hypoglycemia, number of hospitalizations, and number of ED visits in the previous 6 months among the 2281 youth who had had diabetes at least 1 year (mean age: 15.6 ± 3.2 years) are shown in Table 5. In the unadjusted models, participants' mean HbA1c, number of ED visits, and number of hospitalizations (females only) differed significantly by their level of depressed mood. After adjusting for demographic covariates as well as type of diabetes, its duration, and use of psychiatric medications, we found that participants' level of depressed mood was associated only with their HbA1c and number of ED visits.
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DISCUSSION |
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Among youth with diabetes, we found that level of depressed mood was associated with gender, age (females only), race/ethnicity, parental education level, household income, and family composition (females only). These findings are consistent with those from previous studies. After controlling for these demographic factors as well as factors related to diabetes, we found that males with type 2 diabetes had higher rates of moderately/severely depressed mood than males with type 1 diabetes. Results of previous studies have suggested that depression among adults is associated with the development of type 2 diabetes,35, 38 but because type 2 diabetes in youth is a relatively recent phenomenon,39 studies of the association between depression and diabetes among youth have been limited to youth with type 1 diabetes.
Even after adjusting for participants' age, which is associated with duration of diabetes, as well as for their gender and type of diabetes, we found no association between duration of diabetes and the level of depressed mood. Results from previous studies of the possible association between depression and diabetes duration among youth have been mixed. Kovacs et al40 found that depression was not uncommon among non-Hispanic white youth soon after they were diagnosed with diabetes but that the depression tended to resolve within 6 months, and that their mood then remained relatively stable over a 6-year period.41 In contrast, Grey et al42 found that the rate of depression measured in a cohort of non-Hispanic white, black, and Hispanic youth with diabetes around the time of diagnosis and again 2 years later was higher than that among peers without diabetes. Both of these studies were limited to youth with type 1 and used repeated measures among the same group of youth, whereas our study reports measures of depressed mood at only 1 point in time in cohort of youth with type 1, type 2, and other types of diabetes.
After adjusting for potential confounders, we found that mildly depressed mood in both genders and moderately/severely depressed mood among females were associated with higher HbA1c, although the absolute difference in HbA1c was relatively small. La Greca et al12 found that gender and depressive symptoms were associated with poor glycemic control among 42 non-Hispanic white, black, and Hispanic teens with type 1 diabetes, whereas Dantzer et al9 found an association between depression and glycemic control in only 2 of the 8 pediatric studies that they reviewed. Results of a meta-analysis of depression and glycemic control in adults showed that depression was associated with poor glycemic control among adults with type 1 and type 2 diabetes.43
We found no association between the prevalence of depressed mood and the number of DKA and hypoglycemic episodes that participants reported. We found that depressed mood was associated with the number of ED visits reported by both genders. Depressed mood was also associated with a higher number of hospitalizations among females, but this association was no longer significant after we adjusted for demographic factors and for diabetes type and duration. Because we did not ascertain whether the ED visits and hospitalizations were the result of diabetes, comorbidities, or other health problems for youth in the cohort, and because other studies of depression among youth with diabetes did not look at acute health care service utilization as an outcome, these results cannot be compared directly with those from other studies. In a recent study using data from the Pediatric Health Information System, Garrison et al44 found no association between internalizing disorders (which included depressive disorders) and repeat hospitalizations among children and adolescents with diabetes.
Among females, we found that having a comorbid condition was associated with an increased risk for both mildly and moderately/severely depressed mood. The most prevalent comorbid condition among youth in this study was asthma.
We found that 15.6% of the males and 26.9% of the females who had moderately/severely depressed mood reported being on psychiatric medication. Because we did not measure the duration of medication use, we could draw no conclusions about the effectiveness of these medications. However, our findings may suggest that some youth with diabetes are being screened and treated for depressed mood as part of their diabetes-related or general health care.
We found the prevalence of mild or moderate/severely depressed mood among youth with diabetes to be similar to published estimates of depression prevalence among youth without diabetes produced with the same screening tool. For example, in the AddHealth study of over 13000 youth whose mean age and racial/ethnic composition were similar to those of our study participants, 9.2% of all youth, 12.6% of females, and 5.9% of males had a CES-D score 2419 (vs 8.6%, 10.9%, and 6.1%, respectively in the SEARCH study). The mean CES-D score reported by AddHealth (12.2) was lower than scores from previously published studies17, 28, 30, 45 but still higher than the mean score from the SEARCH study (10.7)
Our study included youth as young as 10 years of age. In assessing the performance of the CES-D scale using the Cronbach's test statistic,36 we found good internal consistency across all age groups. When we removed the 10- and 11-year-old youth from our analyses, the associations between depressed mood and the demographic and diabetes-related factors under study were quite similar.
Limitations
This study has several limitations. First, because it was a cross-sectional study, we were unable to establish a temporal relationship between the onset of depressed mood and other variables of interest. Second, the results of this study are based on participants' scores on the CES-D, a screening tool used to identify persons who have experienced symptoms of depression during the previous week and who thus may be at risk for depression; it is not a diagnostic test for clinical depression. Although results of studies to evaluate the effectiveness of the CES-D to screen for depressed mood in multiethnic cohorts of adults and adolescents have been mixed,46–48 it has been used to screen for depressed mood in multiethnic cohorts of youth, including participants in the National Longitudinal Study of Adolescent Health.19
Another limitation of the SEARCH study is the participation rate. The likelihood that youth with diabetes registered for the SEARCH study would participate in the SEARCH study visit decreased with age in a linear manner; 18- to 19-year-olds were 4 times less likely to participate than were children <8 years of age. In addition, females were slightly more likely to participate than were males, and youth with type 1 diabetes were more likely to participate than were those with type 2. Our overall estimates of the prevalence of depressed mood among youth should be interpreted cautiously in view of the differential response rates by age and gender. Although it is unlikely that the small difference in participation rates by gender resulted in a substantial bias, the lower rate of participation by youth with type 2 diabetes, which was likely associated with the substantial age-related differences in participation rates, may have affected our findings.
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CONCLUSIONS AND CLINICAL IMPLICATIONS |
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We found that males with type 2 diabetes were more likely to have moderately/severely depressed mood than were males with type 1 diabetes and that females with comorbidities were more likely to have mildly as well as moderately/severely depressed mood than were females without comorbidities. We also found that depressed mood may be associated with poor glycemic control and more frequent ED visits. Our findings thus suggest that physicians and other health care professionals, including diabetes educators and mental health professionals, should consider screening youth with diabetes for depressed mood in clinical settings, particularly males with type 2 diabetes and females with comorbid conditions, youth with poor glycemic control, and youth with a history of frequent ED visits.
Because some episodes of depression may be mild and short-lived, whereas others may be significant and last a long time, health care providers should develop management strategies that include following these youth over time and providing them with counseling to address issues related to depression. Because youth with type 2 diabetes are usually older at diagnosis than youth with type 1 diabetes, health care providers should also assess the history of depression among youth diagnosed with type 2 diabetes, because they may have had depression that predated their diagnosis of diabetes. Youth with a history of depression may benefit from more intensive psychosocial interventions at the time of their diagnosis with diabetes because their depression may place them at increased risk for poor glycemic control and resultant health problems.
The prevalence of depressed mood that we found among youth with diabetes was similar to that in unaffected populations, suggesting that the majority of youth with diabetes do remarkably well in coping with diabetes while also undergoing the often stressful psychosocial and physiological changes that occur during adolescence. Prospective studies are needed to screen youth with all types of diabetes for depressed mood at the time of their diagnosis. These studies should focus both on their history of depression and their current symptoms, and attempt to determine if interventions to reduce depressive symptoms among youth identified as depressed will also improve their glycemic control and reduce their emergency department visits.
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ACKNOWLEDGMENTS |
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SEARCH for Diabetes in Youth is funded by the Centers for Disease Control and Prevention and supported by the National Institutes of Health.
We acknowledge the contributions of the SEARCH Study Group, the study participants, their families, and their health care providers.
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FOOTNOTES |
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Accepted Sep 27, 2005.
Address correspondence to Jean M. Lawrence, ScD, MPH, MSSA, Research and Evaluation, Kaiser Permanente Southern California, 100 S Los Robles, 2nd Floor, Pasadena, CA 91101. E-mail: jean.m.lawrence{at}kp.org
The authors have indicated they have no financial relationships relevant to this article to disclose.
Preliminary results from this analysis were presented at the American Diabetes Association annual meeting; June 10–14, 2005; San Diego, CA.
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REFERENCES |
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TOPABSTRACTMETHODSRESULTSDISCUSSIONCONCLUSIONS AND CLINICAL...REFERENCES |
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1. Allen P, Vessey J, eds. Primary Care of the Child With a Chronic Condition. St Louis, MO: Mosby; 2004
2. Lustman PJ, Griffith LS, Freedland KE, Clouse RE. The course of major depression in diabetes. Gen Hosp Psychiatry. 1997;19 :138 –143[CrossRef][Web of Science][Medline]
3. Mayou R, Peveler R, Davies B, Mann J, Fairburn C. Psychiatric morbidity in young adults with insulin-dependent diabetes mellitus. Psychol Med. 1991;21 :639 –645[Medline]
4. Carney C. Diabetes mellitus and major depressive disorder: an overview of prevalence, complications, and treatment. Depress Anxiety. 1998;7 :149 –157[CrossRef][Medline]
5. Carney RM, Freedland KE. Depression and medical illness. In: Berkman LF, Kawachi IK, eds. Social Epidemiology. New York, NY: Oxford University Press; 2000:191–212
6. Anderson RJ, Freedland KE, Clouse RE, Lustman PJ. The prevalence of comorbid depression in adults with diabetes: a meta-analysis.
Diabetes Care. 2001;24
:1069
–1078
7. Kovacs M, Goldston D, Obrosky DS, Bonar LK. Psychiatric disorders in youth with IDDM: rates and risk factors. Diabetes Care. 1997;20 :36 –44[Abstract]
8. Norris JM, Klingensmith GJ. The adolescent years. In: Beckles GLA, Thompson-Reid PE, eds. Diabetes and Women's Health Across the Life Stages: A Public Health Perspective. Atlanta, GA: US Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Diabetes Translation; 2001:43–59
9. Dantzer C, Swendsen J, Maurice-Tison S, Salamon R. Anxiety and depression in juvenile diabetes: a critical review. Clin Psychol Rev. 2003;23 :787 –800[CrossRef][Web of Science][Medline]
10. Lernmark B, Persson B, Fisher L, Rydelius PA. Symptoms of depression are important to psychological adaptation and metabolic control in children with diabetes mellitus. Diabetes Med. 1999;16 :14 –22[CrossRef][Web of Science][Medline]
11. Maronian S, Villa G, Roberts JJ, Mouren-Simeoni MCH. Troubles DSM-IV, equilibre metabolique et complications somatiques dans le diabete insulino-dependant de l'enfant et de l'adolescent. Ann Med Psychol (Paris). 1999;157 :320 –331
12. La Greca AM, Swales T, Klemp S, Madigan S, Skyler J. Adolescents with diabetes: gender differences in psychosocial functioning and glycemic control. Child Health Care. 1995;24 :61 –78
13. Roberts RE, Attkisson CC, Rosenblatt A. Prevalence of psychopathology among children and adolescents.
Am J Psychiatry. 1998;155
:715
–725
14. Garrison CZ, Addy CL, Jackson KL, McKeown RE, Waller JL. Major depressive disorder and dysthymia in young adolescents.
Am J Epidemiol. 1992;135
:792
–802
15. Goodyear IM. The epidemiology of depression in childhood and adolescence. In: Verhulst FC, Koot HM, eds. The Epidemiology of Child and Adolescent Psychopathology. New York, NY: Oxford University Press; 1995:210–226
16. Birmaher B, Ryan ND, Williamson DE, et al. Childhood and adolescent depression: a review of the past 10 years. Part I. J Am Acad Child Adolesc Psychiatry. 1996;35 :1427 –1439[CrossRef][Web of Science][Medline]
17. Garrison CZ, Jackson KL, Marsteller F, McKeown RE, Addy C. A longitudinal study of depressive symptomatology in young adolescents. J Am Acad Child Adolesc Psychiatry. 1990;29 :581 –585[Web of Science][Medline]
18. Goodman E. The role of socioeconomic status gradients in explaining differences in US adolescents' health.
Am J Public Health. 1999;89
:1522
–1528
19. Rushton JL, Forcier M, Schectman RM. Epidemiology of depressive symptoms in the National Longitudinal Study of Adolescent Health. J Am Acad Child Adolesc Psychiatry. 2002;41 :199 –205[CrossRef][Web of Science][Medline]
20. Schoenbach VJ, Kaplan BH, Wagner EH, Grimson RC, Miller FT. Prevalence of self-reported depressive symptoms in young adolescents.
Am J Public Health. 1983;73
:1281
–1287
21. Roberts RE, Roberts CR, Chen YR. Ethnocultural differences in prevalence of adolescent depression. Am J Community Psychol. 1997;25 :95 –110[CrossRef][Web of Science][Medline]
22. The SEARCH for Diabetes in Youth Study Group. SEARCH for diabetes in youth: a multi-center study of the prevalence, incidence and classification of diabetes mellitus in youth. Control Clin Trials. 2004;25 :458 –471[CrossRef][Web of Science][Medline]
23. Radloff LS. The CES-D scale: a self report depression scale for research in the general population. Appl Psychol Meas. 1977;1 :385 –401[CrossRef]
24. Roberts RE, Chen YW. Depressive symptoms and suicidal ideation among Mexican-origin and Anglo adolescents. J Am Acad Child Adolesc Psychiatry. 1995;34 :81 –90[CrossRef][Web of Science][Medline]
25. Killen JD, Hayward C, Wilson DM, et al. Factors associated with eating disorder symptoms in a community sample of 6th and 7th grade girls. Int J Eat Disord. 1994;15 :357 –367[Web of Science][Medline]
26. Blatt SJ, Hart B, Quinlan DM. Interpersonal and self-critical dysphoria and behavioural problems in adolescents. J Youth Adolesc. 1993;22 :253 –269[CrossRef]
27. Costello EJ, Angold A. Scales to assess child and adolescent depression: checklists, screens, and nets. J Am Acad Child Adolesc Psychiatry. 1988;27 :726 –737[Web of Science][Medline]
28. Culp AM, Clyman MM, Culp RE. Adolescent depressed mood, reports of suicide attempts, and asking for help. Adolescence. 1995;30 :827 –837[Web of Science][Medline]
29. Garrison CZ, Addy CL, Jackson KL, McKeown RE, Waller JL. The CES-D as a screen for depression and other psychiatric disorders in adolescents. J Am Acad Child Adolesc Psychiatry. 1991;30 :636 –641[Web of Science][Medline]
30. Roberts RE, Lewinsohn PM, Seeley JR. Screening for adolescent depression: a comparison of depression scales. J Am Acad Child Adolesc Psychiatry. 1991;30 :58 –66[Web of Science][Medline]
31. Silverstein J, Klingensmith GJ, Copeland K, et al. Care of children and adolescents with type 1 diabetes.
Diabetes Care. 2005;28
:186
–212
32. Kuczmarski RJ, Ogden CL, Grummer-Strawn LM, et al. CDC growth charts: United States. Adv Data. 2000;314 :1 –27[Medline]
33. Kuczmarski RJ, Ogden CL, Guo SS, et al. 2000 CDC growth charts for the United States: methods and development. Vital Health Stat 11. 2002;246 :1 –190
34. US Census. Available at: www.census.gov/main/www/cen2000.html. Accessed February 18, 2006
35. Musselman DL, Betan E, Larsen H, Philips LS. Relationship of depression to diabetes types 1 and 2: epidemiology, biology, and treatment. Biol Psychiatry. 2003;54 :317 –329[CrossRef][Web of Science][Medline]
36. Cronbach LJ. Coefficient alpha and the internal structure of tests. Psychometrika. 1951;16 :297 –334[CrossRef][Web of Science]
37. Nunnally JC. Psychometric Theory. 2nd ed. New York: NY: McGraw-Hill; 1978
38. Brown LC, Newman SC, Majumdar SR, Johnson JA. History of depression increases risk of type 2 diabetes in younger adults.
Diabetes Care. 2005;28
:1063
–1067
39. Kaufman FR. Type 2 diabetes mellitus in children and youth: a new epidemic. J Pediatr Endocrinol. 2002;15(suppl 2) :737 –744
40. Kovacs M, Obrosky DS, Goldson D, Drash A. Major depressive disorder in youth with IDDM: a controlled prospective study of course and outcome. Diabetes Care. 1997;20 :45 –51[Abstract]
41. Kovacs M, Iyengar S, Goldston D, Stewart J, Obrosky DS, Marsh J. Psychological functioning of children with insulin-dependent diabetes mellitus: a longitudinal study. J Pediatr Psychol. 1990;5 :619 –632
42. Grey M, Cameron ME, Lipman T, Thurber F. Psychosocial status of children with diabetes in the first 2 years after diagnosis. Diabetes Care. 1995;18 :1330 –1336[Abstract]
43. Lustman PJ, Anderson RJ, Freedland KE, de Groot M, Carney RM, Clouse RE. Depression and poor glycemic control: a meta-analytic review of the literature. Diabetes Care. 2000;23 :934 –942[Abstract]
44. Garrison MM, Katon WJ, Richardson LP. The impact of psychiatric comorbidities on readmissions for diabetes in youth.
Diabetes Care. 2005;28
:2150
–2154
45. McDermott RJ, Hawkins WE, Marty PF, Littlefield EA, Murray S, Williams TK. Health behavior correlates of depression in a random sample of high school students. J Sch Health. 1990;60 :414 –417[Web of Science][Medline]
46. Roberts RE. Reliability of the CES-D scale in different ethnic contexts. Psychiatry Res. 1980;2 :125 –134[CrossRef][Web of Science][Medline]
47. Crockett LJ, Randall BA, Shen YL, Russell ST, Driscoll AK. Measurement equivalence of the Center for Epidemiological Studies Depression scale for Latino and Anglo adolescents: a national study. J Consult Clin Psychol. 2005;73 :47 –58[CrossRef][Web of Science][Medline]
48. Prescott CA, McArdle JJ, Hishinuma ES, et al. Prediction of major depression and dysthymia from CES-D scores among ethnic minority adolescents. J Am Acad Child Adolesc Psychiatry. 1998;37 :495 –503[CrossRef][Web of Science][Medline]
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