| Literature DB >> 24581332 |
Yang Wang, Lutian Yao, Li Liu, Xiaoshi Yang, Hui Wu, Jiana Wang, Lie Wang1.
Abstract
BACKGROUND: Besides the rapid growth of economy, unemployment becomes a severe socio-economic problem in China. The huge population base in China makes the unemployed population a tremendously huge number. However, health status of unemployed population was ignored and few studies were conducted to describe the depressive symptoms of unemployed individuals in China. This study aims to examine the relationship between Big five personality and depressive symptoms and the mediating role of self-efficacy in this relationship.Entities:
Mesh:
Year: 2014 PMID: 24581332 PMCID: PMC3976156 DOI: 10.1186/1471-244X-14-61
Source DB: PubMed Journal: BMC Psychiatry ISSN: 1471-244X Impact factor: 3.630
Demographic characteristics of study subjects and the distributions of depressive symptoms in categorical variables
| Gender | | |
| Males | 1027(56.1%) | 21.62(10.81) |
| Females | 805(43.9%) | 21.10(10.23) |
| Age (yr) | | |
| ≤30 | 778(42.5%) | 20.30(10.04) |
| 31-40 | 458(25.0%) | 22.21(10.57) |
| >40 | 596(32.5%) | 22.19(11.08) |
| Education | | |
| Middle school or under | 597(32.6%) | 23.69(11.68) |
| Senior high school | 567(30.9%) | 21.03(10.06) |
| College or above | 668(36.5%) | 20.10(9.67) |
| Marital status | | |
| Single | 593(32.4%) | 20.01(9.87) |
| Married/cohabitation | 1076(58.7%) | 21.58(10.91) |
| Divorced/ separated / widow | 163(8.9%) | 25.20(9.58) |
| Chronic disease | | |
| Yes | 834(45.5%) | 23.27(10.34) |
| No | 998(54.5%) | 19.85(10.51) |
| Household monthly income | | |
| ≤1000rmb | 421(23.0%) | 24.80(11.76) |
| 1001~2000rmb | 815(44.5%) | 21.44(9.38) |
| >2000rmb | 597(32.6%) | 18.94(10.54) |
| Duration of unemployment | | |
| 1-2 months | 386(20.1%) | 18.33(9.86) |
| 3-5 months | 372(20.3%) | 21.40(9.52) |
| 6-11 months | 454(24.8%) | 22.47(10.01) |
| ≥12 months | 620(33.8%) | 22.59(11.69) |
Means, standard deviations (SD) and correlations of continuous variables
| 1. Depressive symptoms | 21.39 | 10.56 | | | | | | |
| 2. Extraversion | 25.94 | 4.13 | -0.291** | | | | | |
| 3. Agreeableness | 31.93 | 4.82 | -0.415** | 0.244** | | | | |
| 4. Conscientiousness | 30.74 | 4.75 | -0.349** | 0.316** | 0.516** | | | |
| 5. Neuroticism | 24.24 | 4.25 | 0.435** | -0.319** | -0.327** | -0.341* | | |
| 6. Openness | 31.94 | 5.21 | -0.211** | 0.347** | 0.370** | 0.398** | -0.131** | |
| 7. Self-efficacy | 38.29 | 5.69 | -0.494** | 0.356** | 0.377** | 0.395** | -0.516** | 0.335** |
*P<0.05.
**P < 0.01 (two-tailed).
Hierarchical linear regression analysis results
| | | | |
| Gender | -0.026* | -0.018 | -0.026 |
| Age | -0.077 | 0.009 | 0.007 |
| Dummy_m1 | -0.041 | -0.040 | -0.025 |
| Dummy_m2 | 0.103** | 0.046* | 0.042* |
| Dummy_e1 | -0.068* | -0.036 | -0.026 |
| Dummy_e2 | -0.074* | -0.039 | -0.029 |
| Chronic Disease | 0.113** | 0.059** | 0.061** |
| Household monthly income | -0.172** | -0.124** | -0.107** |
| Duration of unemployment | 0.085** | 0.063** | 0.060** |
| | | | |
| Extraversion | | -0.111** | -0.083** |
| Agreeableness | | -0.219** | -0.195** |
| Conscientiousness | | -0.099** | -0.067** |
| Neuroticism | | 0.280** | 0.178** |
| Openness | | 0.020 | 0.060** |
| | | | |
| Self-efficacy | | | -0.264** |
| R2 | 0.087 | 0.334 | 0.377 |
| Δ R2 | 0.087 | 0.247 | 0.043 |
*P < 0.05**P < 0.01 (two-tailed).
Dummy_m1 means “Single” vs. “Married/Cohabitation”, Dummy_m2 means “Divorced/Widow/Separated” vs. “Married/Cohabitation”;.
Dummy_e1 means “Senior high school” vs. “Middle school or under”, Dummy_e2 means “College or above” vs. “Middle school or under”.