Literature DB >> 21836107

Depressive symptoms and quality of life in adolescents with type 2 diabetes: baseline data from the TODAY study.

Barbara J Anderson1, Sharon Edelstein, Natalie Walders Abramson, Lorraine E Levitt Katz, Patrice M Yasuda, Sylvia J Lavietes, Paula M Trief, Sherida E Tollefsen, Siripoom Vudhipoom McKay, Patricia Kringas, Terri Lynn Casey, Marsha D Marcus.   

Abstract

OBJECTIVE: The study objective was to examine the prevalence of depressive symptoms and relationships to quality of life and demographics in the Treatment Options for Type 2 Diabetes in Adolescents and Youth (TODAY) study's large, ethnically diverse youth with type 2 diabetes. RESEARCH DESIGN AND METHODS: A total of 704 youth with type 2 diabetes <2 years' duration, aged 10-17 years, and BMI ≥85th percentile completed depressive symptoms and quality of life measures.
RESULTS: Some 14.8% reported clinically significant depressive symptoms, and older girls had significantly higher rates than older boys.
CONCLUSIONS: Rates of significant depressive symptoms were similar to those of healthy adolescents and lower than those of teens with type 1 diabetes. Elevated depressive symptoms, particularly in older girls, suggest clinicians assess vulnerability.

Entities:  

Mesh:

Year:  2011        PMID: 21836107      PMCID: PMC3177750          DOI: 10.2337/dc11-0431

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


Little is known about physiologic and psychosocial correlates of type 2 diabetes in adolescents, whereas data on adults with type 2 diabetes are available, with rates of depressive symptoms approximately twice as high as for adults without diabetes (1), underscoring the importance of examining depressive symptoms in adolescents with type 2 diabetes. Depression in adults is also associated with significant psychosocial and physical complications (2). To date, we have not had access to large samples of patients needed to study depression systematically in youth with type 2 diabetes. Treatment Options for Type 2 Diabetes in Adolescents and Youth (TODAY) offers unique data concerning the psychosocial functioning of youth with type 2 diabetes.

RESEARCH DESIGN AND METHODS

Participants

The TODAY study design and participant characteristics have been reported (3). The protocol was approved by an External Evaluation Committee convened by the National Institute of Diabetes and Digestive and Kidney Diseases and by institutional review boards of each participating institution. Participants provided informed consent or assent.

Procedures

Eligible youth and an adult caregiver were recruited at 15 TODAY clinical centers (Supplementary Data). Relevant to the current report, youth were ineligible if diagnosed with major depression or if taking psychotropic medications. Before baseline, youth successfully completed a run-in phase lasting 8–24 weeks, during which youth had to establish blood glucose HbA1c <8% on metformin alone. Of the 927 youth who entered run-in, 704 (76%) successfully completed run-in and provided baseline data; 55 youth (5.9%) were not able to maintain glycemic control on metformin alone. Average HbA1c at baseline was 5.9% (5.5–6.5). Detailed clinical characteristics of the TODAY cohort at baseline have been reported (3).

Depressive symptoms.

The Children’s Depression Inventory (CDI) (4), assessing depressive symptoms, was completed by participants aged ≤15 years. Items are combined into a total depressive symptom score. A cutoff score ≥13 identifies clinically significant levels of depressive symptoms (4). The Beck Depression Inventory II (BDI-II) (5) was completed by participants aged ≥16 years. Items are combined into a total score, with a cutoff score ≥14 to identify a clinically significant level of depressive symptoms. Scores ≥29 are suggestive of “severe” depressive symptoms.

Quality of life.

Pediatric Quality of Life (PedsQL) (6) measures the youth’s perception of quality of life. The 23 items are scored using a five-point Likert scale; a total score is the average of all items.

Statistical methods

Descriptive statistics at randomization are reported as means, SDs, or percents above cutoffs for serious level of depressive symptoms. Analysis of variance or t tests were used to compare mean depressive symptoms and χ2 tests for percent above predefined cut points, by sex and race/ethnic group. Pearson correlation coefficients were used to compare the relationship between depressive symptoms and quality of life.

RESULTS

The demographic characteristics of the 704 youth randomized in TODAY have been reported (3). Briefly, girls comprised 65% of the sample, and 61% were aged 12–15 years. More than 80% reported minority race/ethnicity. Participants were overweight or obese, with 87% having a BMI >95th percentile for age and sex. Socioeconomic status was low, with >25% from homes in which neither parent had a high school diploma. As shown in Table 1, 14.8% of youth reported depressive symptoms above the threshold for clinical significance. No differences in depressive symptom scores were seen across race/ethnicity; however, there were differences by sex (Table 1). BDI was significantly higher in older girls than in older boys, as was the percent scoring at or above the cutoff score for BDI and for CDI and BDI combined. No differences were found in the PedsQL or CDI for either race/ethnicity or sex. Both CDI and BDI were negatively correlated with PedsQL, −0.59 for the CDI and −0.63 for the BDI (both P < 0.001).
Table 1

Mean (SD) scores on the PedsQL, CDI (youth aged ≤15 years), and BDI (youth aged ≥16 years), and percent scoring at or above the cutoff score for “serious level of depressive symptoms” on each inventory and for combined CDI and BDI by racial/ethnic group and by sex


PedsQL (all ages)
CDI (aged 10–15 years)
BDI (aged ≥16 years)
CDI ≥13 or BDI ≥14 (%)
NMean (SD)NMean (SD)≥13 (%)NMean (SD)≥14 (%)
Total68980.02 (12.04)5137.08 (6.36)14.81746.36 (7.55)14.914.8
Race/ethnicity
 American Indian4278.23 (13.17)286.50 (7.62)14.3157.87 (7.11)13.314.0
 Black non-Hispanic21779.58 (12.35)1667.02 (5.79)15.1506.02 (7.21)14.014.8
 Hispanic28280.54 (11.33)2137.38 (6.13)15.0687.40 (8.69)20.616.4
 White non-Hispanic13780.09 (12.44)976.68 (7.41)14.4384.21 (5.29)5.311.9
 Asian non-Hispanic1181.25 (15.08)97.22 (6.22)11.138.00 (10.44)33.316.7
P value*0.630.770.990.170.200.68
Sex
 Female45079.49 (12.13)3517.19 (6.65)15.11018.27 (8.79)22.816.8
 Male23981.01 (11.83)1626.85 (5.68)14.2733.71 (4.18)4.111.1
P value0.110.580.79<0.001<0.0010.044

*P values across racial/ethnic groups were computed without Asian non-Hispanic because of the small sample size.

Mean (SD) scores on the PedsQL, CDI (youth aged ≤15 years), and BDI (youth aged ≥16 years), and percent scoring at or above the cutoff score for “serious level of depressive symptoms” on each inventory and for combined CDI and BDI by racial/ethnic group and by sex *P values across racial/ethnic groups were computed without Asian non-Hispanic because of the small sample size.

CONCLUSIONS

In the TODAY cohort, ∼l5% scored at or above the cutoff for clinically significant depressive symptoms, a rate similar to that of adolescents without type 2 diabetes (7). Depressive symptoms were not assessed before run-in. Thus, although it is not possible to rule out that completion of run-in had some psychologic benefits for participants, with respect to demographic and depressive symptom characteristics, the TODAY cohort at baseline was similar to youth with type 2 diabetes in the population-based SEARCH for Diabetes in Youth Study (SEARCH) (8,9). Older female adolescents reported more depressive symptoms in comparison with younger girls and with boys. A post hoc analysis revealed that only a small number of older youth (n = 11, all girls; 1.6%) scored at or above the usual cutoff score (≥29) for “severe” depressive symptoms. This pattern is similar to that of population samples where rates of depression are approximately the same for boys and girls during childhood, but diverge during adolescence when girls have depression rates two to three times higher than boys (10). Current results also are similar to those reported in the SEARCH study, which found that being female and older were risk factors for higher rates of depressive symptoms (11). Depression is the most studied psychosocial factor in adolescents with type 1 diabetes, with prevalence rates for increased risk of elevated depressive symptoms reported between 14 and 33% (12,13). The risk for depression increases as adolescents with type 1 diabetes develop into young adulthood, with Kovacs et al. (14) reporting that half of young adults with type 1 diabetes followed since adolescence developed a depressive or anxiety disorder. There were no significant differences in depressive symptom or quality of life scores across racial/ethnic groups in either age-group. As expected, lower quality of life scores were significantly related to higher rates of depressive symptoms in both age-groups. Because of the study design, at baseline the TODAY sample was relatively homogeneous, which may limit generalizability. Youth had low socioeconomic status and were predominately minorities, overweight/obese, and in adequate glycemic control at baseline. As the TODAY cohort becomes more heterogeneous over time with respect to glycemic control, BMI, and adherence, baseline depressive symptoms may become important predictors of subsequent treatment outcomes. Although sample homogeneity is regarded as a study limitation, it is important to note that despite adequate glycemic control at baseline a large percentage of participants also had serious metabolic abnormalities present (3). Moreover, the sex, age, racial/ethnic groups, socioeconomic level, and depressive symptom characteristics of the TODAY cohort are similar to the those of the population-based SEARCH study (8,9), which suggests that the TODAY cohort is representative of the population of youth with type 2 diabetes in the U.S. Type 2 diabetes doubles the risk of depression in adults, with less than 25% receiving adequate depression treatment (15). Given the serious negative physical and psychosocial complications in depressed adults with type 2 diabetes (2,15), clinicians caring for older youth with type 2 diabetes should be familiar with mental health resources. Given the trajectory documented in adolescents with type 1 diabetes and high depressive symptoms for these symptoms to worsen as the older teen transitions into young adulthood, it is imperative to monitor and refer older adolescents with type 2 diabetes and depressive symptoms.
  13 in total

1.  Depressive symptoms in children and adolescents with type 1 diabetes: association with diabetes-specific characteristics.

Authors:  Korey K Hood; Samantha Huestis; Allison Maher; Debbie Butler; Lisa Volkening; Lori M B Laffel
Journal:  Diabetes Care       Date:  2006-06       Impact factor: 19.112

Review 2.  Mood disorders in children and adolescents: an epidemiologic perspective.

Authors:  R C Kessler; S Avenevoli; K Ries Merikangas
Journal:  Biol Psychiatry       Date:  2001-06-15       Impact factor: 13.382

3.  The burden of diabetes mellitus among US youth: prevalence estimates from the SEARCH for Diabetes in Youth Study.

Authors:  Angela D Liese; Ralph B D'Agostino; Richard F Hamman; Patrick D Kilgo; Jean M Lawrence; Lenna L Liu; Beth Loots; Barbara Linder; Santica Marcovina; Beatriz Rodriguez; Debra Standiford; Desmond E Williams
Journal:  Pediatrics       Date:  2006-10       Impact factor: 7.124

4.  The prevalence of comorbid depression in adults with diabetes: a meta-analysis.

Authors:  R J Anderson; K E Freedland; R E Clouse; P J Lustman
Journal:  Diabetes Care       Date:  2001-06       Impact factor: 19.112

Review 5.  Depression in type 1 diabetes in children: natural history and correlates.

Authors:  Margaret Grey; Robin Whittemore; William Tamborlane
Journal:  J Psychosom Res       Date:  2002-10       Impact factor: 3.006

6.  Characteristics of adolescents and youth with recent-onset type 2 diabetes: the TODAY cohort at baseline.

Authors:  Kenneth C Copeland; Philip Zeitler; Mitchell Geffner; Cindy Guandalini; Janine Higgins; Kathryn Hirst; Francine R Kaufman; Barbara Linder; Santica Marcovina; Paul McGuigan; Laura Pyle; William Tamborlane; Steven Willi
Journal:  J Clin Endocrinol Metab       Date:  2010-10-20       Impact factor: 5.958

7.  Major depressive disorder in youths with IDDM. A controlled prospective study of course and outcome.

Authors:  M Kovacs; D S Obrosky; D Goldston; A Drash
Journal:  Diabetes Care       Date:  1997-01       Impact factor: 19.112

8.  Development of depression from preadolescence to young adulthood: emerging gender differences in a 10-year longitudinal study.

Authors:  B L Hankin; L Y Abramson; T E Moffitt; P A Silva; R McGee; K E Angell
Journal:  J Abnorm Psychol       Date:  1998-02

9.  Prevalence and correlates of depressed mood among youth with diabetes: the SEARCH for Diabetes in Youth study.

Authors:  Jean M Lawrence; Debra A Standiford; Beth Loots; Georgeanna J Klingensmith; Desmond E Williams; Andrea Ruggiero; Angela D Liese; Ronny A Bell; Beth E Waitzfelder; Robert E McKeown
Journal:  Pediatrics       Date:  2006-04       Impact factor: 7.124

Review 10.  Recognizing and treating depression in patients with diabetes.

Authors:  Richard R Rubin; Paul Ciechanowski; Leonard E Egede; Elizabeth H B Lin; Patrick J Lustman
Journal:  Curr Diab Rep       Date:  2004-04       Impact factor: 4.810

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  32 in total

1.  Correlates of Medication Adherence in the TODAY Cohort of Youth With Type 2 Diabetes.

Authors:  Lorraine Levitt Katz; Barbara J Anderson; Siripoom V McKay; Roberto Izquierdo; Terri L Casey; Laurie A Higgins; Aimee Wauters; Kathryn Hirst; Kristen J Nadeau
Journal:  Diabetes Care       Date:  2016-06-28       Impact factor: 19.112

2.  Effects of comorbid conditions on health-related quality of life in youth with Type 2 diabetes: the TODAY clinical trial.

Authors:  Mary E Larkin; Natalie Walders-Abramson; Kathryn Hirst; Joyce Keady; Carolyn E Ievers-Landis; Elizabeth M Venditti; Patrice M Yasuda
Journal:  Diabetes Manag (Lond)       Date:  2015-11

3.  Type 2 diabetes is causally associated with depression: a Mendelian randomization analysis.

Authors:  Liping Xuan; Zhiyun Zhao; Xu Jia; Yanan Hou; Tiange Wang; Mian Li; Jieli Lu; Yu Xu; Yuhong Chen; Lu Qi; Weiqing Wang; Yufang Bi; Min Xu
Journal:  Front Med       Date:  2018-11-16       Impact factor: 4.592

4.  Parental Characteristics Associated With Outcomes in Youth With Type 2 Diabetes: Results From the TODAY Clinical Trial.

Authors:  Ruth S Weinstock; Paula M Trief; Laure El Ghormli; Robin Goland; Siripoom McKay; Kerry Milaszewski; Jeff Preske; Steven Willi; Patrice M Yasuda
Journal:  Diabetes Care       Date:  2015-03-17       Impact factor: 19.112

Review 5.  Type 2 diabetes in youth in South Asia.

Authors:  P A Praveen; S Ram Kumar; Nikhil Tandon
Journal:  Curr Diab Rep       Date:  2015-02       Impact factor: 4.810

Review 6.  Depression in type 2 diabetes mellitus: prevalence, impact, and treatment.

Authors:  Katherine Semenkovich; Miriam E Brown; Dragan M Svrakic; Patrick J Lustman
Journal:  Drugs       Date:  2015-04       Impact factor: 9.546

Review 7.  Nephropathy in youth and young adults with type 2 diabetes.

Authors:  Carolina Solis-Herrera; Curtis L Triplitt; Jane L Lynch
Journal:  Curr Diab Rep       Date:  2014-02       Impact factor: 4.810

8.  Longitudinal associations between sex, diabetes self-care, and health-related quality of life among youth with type 1 or type 2 diabetes mellitus.

Authors:  Michelle J Naughton; Joyce P Yi-Frazier; Timothy M Morgan; Michael Seid; Jean M Lawrence; Georgeanna J Klingensmith; Beth Waitzfelder; Debra A Standiford; Beth Loots
Journal:  J Pediatr       Date:  2014-02-26       Impact factor: 4.406

9.  Psychological functioning in adolescents with obesity co-morbidities.

Authors:  Natalie Walders-Abramson; Kristen J Nadeau; Megan M Kelsey; Sarah J Schmiege; Swan Ellert; Anna Cejka; Kelly Bhatnagar; Phil Zeitler
Journal:  Child Obes       Date:  2013-06-13       Impact factor: 2.992

10.  Depressive symptoms and metabolic markers of risk for type 2 diabetes in obese adolescents.

Authors:  Tamara S Hannon; Dana L Rofey; SoJung Lee; Silva A Arslanian
Journal:  Pediatr Diabetes       Date:  2013-03-31       Impact factor: 4.866

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