Literature DB >> 25758278

Is early-onset in major depression a predictor of specific clinical features with more impaired social function?

Yan-Hong Liu, Lin Chen, Yun-Ai Su, Yi-Ru Fang, Manit Srisurapanont, Jin Pyo Hong, Ahmad Hatim, Hong Choon Chua, Dianne Bautista, Tian-Mei Si1.   

Abstract

BACKGROUND: Early-onset major depressive disorder (MDD) (EOD) is often particularly malignant due to its special clinical features, accompanying impaired social function, protracted recovery time, and frequent recurrence. This study aimed to observe the effects of age onset on clinical characteristics and social function in MDD patients in Asia.
METHODS: In total, 547 out-patients aged 18-65 years who were from 13 study sites in five Asian countries were included. These patients had MDD diagnose according to the Diagnostic and Statistical Manual of Mental Disorders, 4 th Edition criteria. Clinical features and social function were assessed using Symptom Checklist-90-revised (SCL-90-R) and Sheehan Disability Scale (SDS). Quality of life was assessed by a 36-item Short-form Health Survey (SF-36). Analyses were performed using a continuous or dichotomous (cut-off: 30 years) age-of-onset indicator.
RESULTS: Early-onset MDD (EOD, <30 years) was associated with longer illness (P = 0.003), unmarried status (P < 0.001), higher neuroticism (P ≤ 0.002) based on the SCL-90-R, and more limited social function and mental health (P = 0.006, P = 0.007) based on the SF-36 and SDS. The impairment of social function and clinical severity were more prominent at in-patients with younger onset ages. Special clinical features and more impaired social function and quality of life were associated with EOD, as in western studies.
CONCLUSIONS: EOD often follows higher levels of neuroticism. Age of onset of MDD may be a predictor of clinical features and impaired social function, allowing earlier diagnosis and treatment.

Entities:  

Mesh:

Year:  2015        PMID: 25758278      PMCID: PMC4833988          DOI: 10.4103/0366-6999.152654

Source DB:  PubMed          Journal:  Chin Med J (Engl)        ISSN: 0366-6999            Impact factor:   2.628


INTRODUCTION

Major depressive disorder (MDD) is a common psychiatric disorder that can be debilitating and making the burden heavier following the earlier onset. Many features of early-onset MDD (EOD) in western studies were found to be different from those of late-onset MDD (LOD), such as more suicidal attempts, higher prevalence of comorbid personality disorders, higher levels of neuroticism,[1] a longer duration of illness, more episodes, greater symptom severity, more psychiatric symptoms associated with Diagnostic and Statistical Manual of Mental Disorders, 4th Edition (DSM-IV) Axis I comorbidity.[2] EOD may be an index of a more severe, highly comorbid disorder and is less responsive to antidepressant pharmacotherapy.[3] The prognosis of EOD is more malignant, need a protracted time to recovery.[4] Damage to social interaction and behaviors was found to be related to the onset of depressive symptoms.[5] Adulthood EOD is mainly concentrated in an age range of 18–30 years.[267] The median age of onset for mood disorders is between 25 and 32 years,[8] and nearly half of adolescents with subthreshold depressive disorder in a community sample developed full-syndrome depressive disorder by their early 30 s.[9] This finding was confirmed in younger adult samples using a cut-off for the age of onset of 30 years.[10] Over the past few years, a group of psychiatrists in Asian countries, working on the Study on Aspects of Asian Depression (SAAD), have mainly collaborated to identify the clinical features of major depression in Asians. SAAD is the multinational survey in Asia on the clinical features of MDD.[11] Our study's objective in SAAD was to compare the clinical symptoms and social functions between EOD and LOD, to certify whether EOD has the symptoms of biocharacteristics or whether the early-onset is a predictor of some special symptoms with more impaired social function in Asia samples.

METHODS

Study sample

This cross-sectional study included 547 outpatients between 18 and 65 years old. The participants were recruited between April 2008 and February 2010 in multi-center research units at 13 mental health hospitals in five countries in Asia: China, Korea, Malaysia, Singapore, and Thailand. The inclusion criteria were as follows: (a) Age 18–65 years; (b) a positive response (“yes”) to the Mini-international Neuropsychiatric Interview (MINI) (Sheehan et al., 1998) question A1 (depressed mood) and/or A2 (loss of interest), and (c) a diagnosis of MDD according to the DSM-IV criteria (American Psychiatric Association, 1994). The exclusion criteria were (a) an unstable comorbid medical condition, (b) a mood disorder due to a medical condition and/or substance abuse, (c) clinically significant cognitive impairment, (d) treatment with psychotropic medication within the previous month, (e) treatment with long-acting antipsychotic medication within the previous 3 months, and (f) treatment with benzodiazepines within the previous week. The study was approved by the ethical review boards of the participating centers, and all participants signed an informed consent form.

Measures and instruments

In this assessment, information about age, gender, marital status, work status, the length of illness, and educational level was collected using a form designed for this study. Interviews were conducted by experienced psychiatrists using standardized semi-structured interviews. A diagnosis of MDD was assessed using the MINI, according to the DSM-IV criteria.[12] To determine the age of onset, the participants were asked to recall their age at the time of their first episode and to provide the month and year when their depression first qualified as a full episode (lasting 2 weeks). The interviewing doctors confirmed whether this information met the criteria for major depression. We used 30 years of age as the cut-off to differentiate between EOD and LOD.[10] The clinical features of EOD (age of onset <30 years) and LOD (age of onset ≥30 years) depression are described in terms of the severity of depression, the depression subtype, and the length of illness. Symptom presentations were assessed by the Symptom Checklist-90-revised (SCL-90-R). Social function and health were assessed with the 36-item Short-form Health Survey (SF-36) and the Sheehan Disability Scale (SDS). The SCL-90-R[13] was designed to evaluate psychological problems and symptoms of psychopathology. This checklist involves 90 items that are clustered into nine dimensions: Somatization, obsessive-compulsive, interpersonal sensitivity, depression, anxiety, hostility, phobic anxiety, paranoid ideation, and psychoticism. Each dimension is rated on a 5-point scale, from 0, representing the absence of the symptom to 4, meaning the maximum intensity score for the symptom. The SF-36 measures physical and mental health constructs and has two composite scores: Physical component summary (PCS) and mental component summary (MCS) scores. The PCS contains four subscales: Physical function, bodily pain, role-physical, and general health. The MCS also contains four subscales: Vitality, social function, role-emotional, and mental health. These subscale scores range from 0 to 100, with higher values representing better function.[14] The study compared EOD with LOD based on PCS and MCS scores from the SF-36. The SDS is a patient-rated scale that assesses the illness’ interference with different life domains and consists of three items evaluating impairment in work/school, social life/leisure activities, and family life/home responsibilities. Each item's score is based on a dimension of 0 (unimpaired) to 10 (highly impaired).[15]

Statistical analysis

The data were analyzed using SPSS 17.0 (SPSS Inc., USA). The demographic and clinical characteristics of outpatients with EOD or LOD were compared using Chi-square tests for categorical data and t-tests and Mann–Whitney U-test, as appropriate, for continuous data. In the case of continuous data, multiple linear regression models were also fit, so step-wise linear regression analyses were used to test the effects of the age of onset on clinical characteristics and social function. In all of these regressions, the age of onset was an independent variable. Gender, marital status, work status, education level, the length of illness, and the study site were included in the models as controlling variables to observe the effects of the age of onset on clinical characteristics and social function. The significance level was set at 0.01 (two-sided) in the analyses of linear regression models to reduce type I errors.

RESULTS

In total, 556 participants were enrolled. Eighty-one patients were not enrolled for the following reasons: Refusal/unwillingness to cooperate (58 patients), lack of patience to be interviewed (14 patients), or lack of the time to participate in the study (9 patients). All participants were compensated for their time. The mean (standard deviation) time taken for completion of self-administered scales was 35.8 (14.1) min, and for a face-to-face interview was 38.1 (13.8) min. Nine enrolled patients were further excluded because they had no current major depressive episode (MDE), as confirmed by the MINI. After the exclusion, 547 participants included in the analysis met the DSM-IV diagnosis of MDD. The patients consisted of 216 individuals with EOD (<30) and 331 with LOD (≥30). The socio-demographic and clinical characteristics of the patients are summarized in Table 1. The percentage of patients who completed secondary education was higher in the EOD group. The mean education level in the EOD group was 12.50 ± 3.34 years, compared with 10.19 ± 3.92 years in the LOD group. There were no significant differences with regard to gender. The distribution of EOD and LOD was significantly different at the study sites in Asia (P = 0.001). No significant difference was found for a combined Axis I diagnosis.
Table 1

Characteristics of the EOD and LOD groups, with a cut-off age of 30 years

Social and clinical characteristicsEarly-onset (n = 216)Late-onset (n = 331)Total (n = 547)t/Z/χ2dfP
Age (years) mean ± SD26.91 ± 6.9547.84 ± 9.1439.61 ± 13.20−30.33533<0.001
Age at first onset (years)22.80 ± 4.6845.31 ± 8.8136.44 ± 13.29−38.80526<0.001
Education (years)12.50 ± 3.3410.19 ± 3.9211.10 ± 3.877.35508<0.001
Length of illness (years)4.13 ± 6.532.53 ± 4.183.16 ± 5.28−3.020.003*
SCL-90-R
 Somatization1.27 ± 0.871.31 ± 0.831.30 ± 0.84−0.635430.531
 Obsessive-compulsive2.03 ± 0.881.76 ± 0.891.87 ± 0.903.52543<0.001
 Interpersonal sensitivity1.73 ± 0.901.26 ± 0.881.45 ± 0.926.01543<0.001
 Depression2.19 ± 0.881.95 ± 0.852.05 ± 0.853.195430.002
 Anxiety1.67 ± 0.891.58 ± 0.851.61 ± 0.861.235430.220
 Hostility1.39 ± 1.011.07 ± 0.821.20 ± 0.913.16394<0.001
 Phobic anxiety1.11 ± 0.780.98 ± 0.881.01 ± 0.861.385430.168
 Paranoid ideation1.46 ± 0.981.01 ± 0.851.19 ± 0.935.51412<0.001
 Psychoticism1.22 ± 0.761.01 ± 0.721.10 ± 0.753.165430.002
SF-36
 PCS56.64 ± 18.3154.28 ± 18.6355.21 ± 18.521.465420.146
 MCS32.80 ± 16.3736.93 ± 18.0335.30 ± 17.49−2.715430.007
SDS total18.25 ± 7.1616.41 ± 8.4417.14 ± 8.002.735090.006
Gender: Male, n (%)80 (37.0)115 (34.7)195 (35.6)0.3010.584
 Nationality
  Chinese127 (58.8)163 (49.2)290 (53.0)19.7950.001
  Korean28 (13.0)73 (22.1)101 (18.5)
  Thailand33 (15.2)69 (20.8)102 (18.6)
  Indian8 (3.7)16 (4.8)24 (4.4)
  Malay18 (8.3)9 (2.7)27 (4.9)
  Others2 (0.9)1 (0.3)3 (0.5)
 Work status
  Unemployed110 (50.9)173 (52.3)283 (51.7)0.0910.759
 Completed secondary education
  Yes, n (%)147 (68.1)131 (39.6)278 (50.8)42.411<0.001
 Marital status
  Unmarried152 (70.4)77 (23.3)229 (41.9)119.181<0.001
MINI-SCID
 Combined Axis І diagnosis39 (18.1)70 (21.1)109 (19.9)0.7810.376

*Mann–Whitney U-test. PCS: Physical component summary; MCS: Mental component summary; SD: Standard deviation; SCL-90-R: Symptom Checklist-90-Revised; SF-36: Short Form-36; SDS: Sheehan Disability Scale; SCID: Structured Clinical Interview for DSM; MINI: Mini-international Neuropsychiatric Interview; DSM: Diagnostic and Statistical Manual of Mental Health Disorders; EOD: Early-onset depression; LOD: Late-onset depression.

Characteristics of the EOD and LOD groups, with a cut-off age of 30 years *Mann–Whitney U-test. PCS: Physical component summary; MCS: Mental component summary; SD: Standard deviation; SCL-90-R: Symptom Checklist-90-Revised; SF-36: Short Form-36; SDS: Sheehan Disability Scale; SCID: Structured Clinical Interview for DSM; MINI: Mini-international Neuropsychiatric Interview; DSM: Diagnostic and Statistical Manual of Mental Health Disorders; EOD: Early-onset depression; LOD: Late-onset depression. As observed in Table 1, there were apparent differences between the two groups in terms of clinical symptoms (as gauged by the SCL-90-R), social function (SDS), and mental impairment (SF-36). After having controlled correlated factors in the multivariate analysis [Table 2], we found that Subjects with an earlier age onset for MDD were at significantly higher risk for obsessive-compulsive, interpersonal sensitivity, depression, hostility, paranoid ideation and psychoticism which may indicate when the age of onset was earlier, higher neuroticism with clinical features was more apparent. The EOD group presented more damaged social function, which was especially reflected by the work and school achievement factors on the SDS and the MCS factors on the SF-36.
Table 2

Effects of age onset on clinical characteristics and perceived social support (n = 547, EOD: 215)*

ConstantB§§SEFdf95% CIP
SDS
Work/school7.41−1.0440.26411.852−1.56, −0.53<0.001
 Social life/leisure5.42−0.2230.2984.765−0.81, 0.360.455
 Family4.48−0.0890.2782.384−0.63, 0.460.749§
SDS (total)17.88−1.9860.68811.512−3.34, −0.630.004
SF
 PCS69.800.9351.8636.877−2.73, 4.600.616||
 MCS28.464.2381.5247.7311.24, 7.230.006
SCL-90-R
 Somatization0.92−0.0080.0839.057−0.17, 0.160.927||
 Obsessive-compulsive1.98−0.2140.08327.023−0.38, −0.050.010
 Interpersonal sensitivity2.01−0.3890.08527.583−0.56, −0.22<0.001
 Depression2.11−0.1790.0829.164−0.34, −0.020.029**
 Anxiety1.50−0.0620.0857.616−0.23, 0.110.467††
 Hostility1.49−0.3370.07814.822−0.49, −0.18<0.001
 Phobic anxiety1.08−0.0620.0857.666−0.23, 0.100.461††
 Paranoid ideation1.372−0.3480.08822.874−0.52, −0.18<0.001‡‡
 Psychoticism1.23−0.1610.07216.833−0.30, −0.020.025

*Using age onset as independent variable after controlling for gender, the length of illness, study sites, work, marital status, education (years); †Study sites as covariates significantly in the equation; ‡Work, marital status, education (years), and study sites as covariates significantly in the equation; §Gender, work status, and study sites as covariates significantly in the equation; ||Using gender, marital status, education (years), the length of illness, study sites, and work status as covariates significantly in the equation; ¶Using study sites and marital status as covariates significantly in the equation; **Using gender, marital status, and study sites as covariates significantly in the equation; ††Using gender, marital status, education (years), study sites, and work status as covariates significantly in the equation; ‡‡Using marital status, education (years), and study sites as covariates significantly in the equation; §§Beta of the multiple models, showing the variation of dependent variables (Y-axis) following an increase in the age of onset (X-axis, a continuous indicator). CI: Confidence interval; SE: Standard error; EOD: Early-onset depression; SDS: Sheehan Disability Scale; SF: Short Form; PCS: Physical component summary; MCS: Mental component summary; SCL-90-R: Symptom Checklist-90-Revised.

Effects of age onset on clinical characteristics and perceived social support (n = 547, EOD: 215)* *Using age onset as independent variable after controlling for gender, the length of illness, study sites, work, marital status, education (years); †Study sites as covariates significantly in the equation; ‡Work, marital status, education (years), and study sites as covariates significantly in the equation; §Gender, work status, and study sites as covariates significantly in the equation; ||Using gender, marital status, education (years), the length of illness, study sites, and work status as covariates significantly in the equation; ¶Using study sites and marital status as covariates significantly in the equation; **Using gender, marital status, and study sites as covariates significantly in the equation; ††Using gender, marital status, education (years), study sites, and work status as covariates significantly in the equation; ‡‡Using marital status, education (years), and study sites as covariates significantly in the equation; §§Beta of the multiple models, showing the variation of dependent variables (Y-axis) following an increase in the age of onset (X-axis, a continuous indicator). CI: Confidence interval; SE: Standard error; EOD: Early-onset depression; SDS: Sheehan Disability Scale; SF: Short Form; PCS: Physical component summary; MCS: Mental component summary; SCL-90-R: Symptom Checklist-90-Revised.

DISCUSSION

To the best of our knowledge, this is the first multinational cross-sectional study on the character of EOD and the influence of age onset of MDD to the social function in Asia. As western studies, the patients in the Asia sample with EOD were found to exhibit some specific clinical features and more prominent impairment of social function and mental health. We found the patients with an earlier age onset for MDD are at significantly higher risk for obsessive-compulsive, interpersonal sensitivity, depression, hostility, paranoid ideation and psychoticism. Several previous western studies have identified the characteristics of EOD, including a longer length of illness, longer current episodes, more recurrence, and poorer marital and work statuses.[2] Those epidemiologic results were confirmed by our research, with work status being the exception. Higher education levels were found in our EOD group, which was supported by Gollan et al.[16] Patients with higher education may have more mental stress. Observing the clinical characteristics of EOD is important for diagnosis and therapy. Our results showed that depression occurring at an earlier age of onset was more severe than at a later age of onset.[17] Higher levels of clinical symptoms of neuroticism in EOD were shown in our study (i.e., more obsessive compulsion, interpersonal sensitivity, hostility, paranoid ideation, and psychoticism), which might reflect an association with vulnerable personality.[1819] As reported based on Norwegian data, vulnerable personality traits present an additional affirmation of the early occurrence of mood symptoms.[20] Several abnormal personality traits proved to be more common in EOD. This finding should be further confirmed in longitudinal analyses. The EOD group suffered more impairment of social function in our study, which is indicative of a poor prognosis in terms of both chronicity and disability.[6] EOD also related to a progressive decrease in social interaction and a loss of reinforcement of social behaviors.[5] In our study, it was confirmed more severe impairment of work or school achievements in EOD. The impaired mental health (P = 0.006) and quality of life revealed by our research may reflect memory impairment, which is prevalent in patients with a long history of depression and an early-onset age.[21] The existence of adults with EOD and behavioral disinhibition may suggest possible etiologic mechanisms.[22] However, further studies are needed to prove this point. Several limitations of this study should be taken into account. First, it is difficult to accurately remember the age of onset of depression, which could cause recall bias. Determining the age of onset during a depressive episode adds another source of bias because cognition is affected by the depressive status. Because the mean age was relatively young (39.61 years), the recollection bias may be smaller than in studies on elderly subjects. Second, it was impossible to make subtler distinctions and to determine the exact time from the onset of the first symptoms to the onset of the diagnosed symptoms. Third, because this study had a cross-sectional design, we cannot be certain whether an early age of onset is a risk factor for major depression or the differences between EOD and LOD are due to the cohort effect. Further trials are needed to study this issue. Fourth, different language used in translating instruments in the countries may have impacted the results. Lastly, this study included voluntary outpatients diagnosed as having MDD without severe cognitive impairment, the exclusion criteria include treatment with psychotropic medication in the previous month. This could potentially exclude a large number of patients with MDD seen in outpatient settings and substantially limits the generalizability of the results. So there was a degree of selection bias in our study. This multinational participative study in Asia suggests that there are several differences in the symptoms and characteristics of EOD and LOD. An early age of onset of MDD seems to have certain distinct demographic and clinical characteristics, including high neuroticism. In addition, EOD can be considered as a more chronic form of depression with a longer duration of episodes. Furthermore, an early age of onset of major depression is associated with more vulnerability in personality formation, which is finally expressed via impairment of social function and higher neuroticism. Our findings in Asia parallel the previous findings in western settings. The age of onset may be a predictor of major depression, allowing the evaluation of clinical features and social function prognosis. This predictor needs to be kept in mind to improve the strategies for discernment of potential MDD in advance.
  22 in total

Review 1.  Chronic pain and the measurement of personality: do states influence traits?

Authors:  David A Fishbain; Brandly Cole; R Brian Cutler; J Lewis; Hubert L Rosomoff; R Steele Rosomoff
Journal:  Pain Med       Date:  2006 Nov-Dec       Impact factor: 3.750

2.  Factors that differentiate early vs. later onset of major depression disorder.

Authors:  Sidney Zisook; A John Rush; Ari Albala; Jonathan Alpert; G K Balasubramani; Maurizio Fava; Mustafa Husain; Harold Sackeim; Madhukar Trivedi; Stephen Wisniewski
Journal:  Psychiatry Res       Date:  2004-12-15       Impact factor: 3.222

3.  Early and late onset depression in young and middle aged adults: differential symptomatology, characteristics and risk factors?

Authors:  Nicole C M Korten; Hannie C Comijs; Femke Lamers; Brenda W J H Penninx
Journal:  J Affect Disord       Date:  2012-02-26       Impact factor: 4.839

4.  DSM-IV primary care version: an opportunity for general hospital and consultation-liaison psychiatrists?

Authors:  H A Pincus; T Wise; M B First; L E McQueen
Journal:  Gen Hosp Psychiatry       Date:  1995-09       Impact factor: 3.238

5.  Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication.

Authors:  Ronald C Kessler; Patricia Berglund; Olga Demler; Robert Jin; Kathleen R Merikangas; Ellen E Walters
Journal:  Arch Gen Psychiatry       Date:  2005-06

6.  Course profiles of early- and adult-onset depression.

Authors:  Jackie Gollan; Brian Raffety; Eric Gortner; Keith Dobson
Journal:  J Affect Disord       Date:  2005-05       Impact factor: 4.839

7.  Major depressive disorder in adolescents: family psychiatric history predicts severe behavioral disinhibition.

Authors:  Cheryl A King; Michele S Knox; Nathan Henninger; Tuan Anh Nguyen; Neera Ghaziuddin; Azmaira Maker; Gregory L Hanna
Journal:  J Affect Disord       Date:  2005-12-13       Impact factor: 4.839

8.  Childhood adversity, gender and depression over the life-course.

Authors:  N W J Wainwright; P G Surtees
Journal:  J Affect Disord       Date:  2002-10       Impact factor: 4.839

9.  Age at onset of major depressive disorder in Han Chinese women: relationship with clinical features and family history.

Authors:  Fuzhong Yang; Yihan Li; Dong Xie; Chunhong Shao; Jianer Ren; Wenyuan Wu; Ning Zhang; Zhen Zhang; Ying Zou; Jiulong Zhang; Dongdong Qiao; Chengge Gao; Youhui Li; Jian Hu; Hong Deng; Gang Wang; Bo Du; Xumei Wang; Tiebang Liu; Zhaoyu Gan; Juyi Peng; Bo Wei; Jiyang Pan; Honghui Chen; Shufan Sun; Hong Jia; Ying Liu; Qiaoling Chen; Xueyi Wang; Juling Cao; Luxian Lv; Yunchun Chen; Baowei Ha; Yuping Ning; Yiping Chen; Kenneth S Kendler; Jonathan Flint; Shenxun Shi
Journal:  J Affect Disord       Date:  2011-07-22       Impact factor: 4.839

10.  Pre-adult onset and patterns of suicidality in patients with a history of recurrent depression.

Authors:  J Mark G Williams; Thorsten Barnhofer; Catherine Crane; Danielle S Duggan; Dhruvi Shah; Kate Brennan; Adele Krusche; Rebecca Crane; Catrin Eames; Mariel Jones; Sholto Radford; Ian T Russell
Journal:  J Affect Disord       Date:  2012-02-04       Impact factor: 4.839

View more
  2 in total

1.  Program for education and enrichment of relational skills (PEERS) training for social skills and depressed mood intervention in young adult with depression: Study protocol for a randomized controlled trial.

Authors:  Yuting Hua; Qiyuan Zhao; Jiantong Shen; Yujin Liu; Lei Zheng; Mei Zhang
Journal:  Front Psychiatry       Date:  2022-09-12       Impact factor: 5.435

2.  Factors associated with antipsychotic use in non-psychotic depressed patients: results from a clinical multicenter survey.

Authors:  Jingjing Zhou; Tong Zhu; Xuequan Zhu; Britta Galling; Le Xiao
Journal:  BMC Psychiatry       Date:  2022-02-03       Impact factor: 3.630

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.