| Literature DB >> 29357835 |
Jieun Jang1,2, Sang Ah Lee1,2, Woorim Kim1,2, Young Choi1,2, Eun-Cheol Park3,4.
Abstract
BACKGROUND: The aim of this study was to examine factors associated with the use of mental health consultation for depressive symptoms.Entities:
Keywords: Depress; Depression; Education; Mental health; Mental health consultation
Mesh:
Year: 2018 PMID: 29357835 PMCID: PMC5778761 DOI: 10.1186/s12888-018-1592-3
Source DB: PubMed Journal: BMC Psychiatry ISSN: 1471-244X Impact factor: 3.630
General characteristics of the study population
| Variables | Total | Mental health consultation | |||||
|---|---|---|---|---|---|---|---|
| YES | NO | ||||||
| N | % | N | % | N | % | ||
| Total | 13,269 | 100.0 | 2120 | 16.0 | 11,149 | 84.0 | |
| Educational level - ISCED | 0.0005 | ||||||
| Low | 4832 | 36.4 | 704 | 14.6 | 4128 | 85.4 | |
| Medium | 1606 | 12.1 | 295 | 18.4 | 1311 | 81.6 | |
| High | 4119 | 31.0 | 700 | 17.0 | 3419 | 83.0 | |
| College or over | 2712 | 20.4 | 421 | 15.5 | 2291 | 84.5 | |
| Age | <.0001 | ||||||
| 19–29 | 1305 | 9.8 | 210 | 16.1 | 1095 | 83.9 | |
| 30–39 | 1745 | 13.2 | 292 | 16.7 | 1453 | 83.3 | |
| 40–49 | 2144 | 16.2 | 365 | 17.0 | 1779 | 83.0 | |
| 50–59 | 2695 | 20.3 | 453 | 16.8 | 2242 | 83.2 | |
| 60–69 | 2259 | 17.0 | 412 | 18.2 | 1847 | 81.8 | |
| 70≤ | 3121 | 23.5 | 388 | 12.4 | 2733 | 87.6 | |
| Gender | <.0001 | ||||||
| Male | 4019 | 30.3 | 523 | 13.0 | 3496 | 87.0 | |
| Female | 9250 | 69.7 | 1597 | 17.3 | 7653 | 82.7 | |
| Household income level | 0.0129 | ||||||
| Quartile 1 (lowest) | 3518 | 26.5 | 536 | 15.2 | 2982 | 84.8 | |
| Quartile 2 | 3349 | 25.2 | 595 | 17.8 | 2754 | 82.2 | |
| Quartile 3 | 3048 | 23.0 | 468 | 15.4 | 2580 | 84.6 | |
| Quartile 4 (highest) | 3354 | 25.3 | 521 | 15.5 | 2833 | 84.5 | |
| Region | 0.7874 | ||||||
| Capital (Seoul, Gyeonggi) | 4366 | 32.9 | 705 | 16.1 | 3661 | 83.9 | |
| Urban | 2604 | 19.6 | 423 | 16.2 | 2181 | 83.8 | |
| Rural area | 6299 | 47.5 | 992 | 15.7 | 5307 | 84.3 | |
| Marital status | <.0001 | ||||||
| Married-cohabit | 7638 | 57.6 | 1178 | 15.4 | 6460 | 84.6 | |
| Married-no cohabit | 449 | 3.4 | 72 | 16.0 | 377 | 84.0 | |
| Bereaved | 2440 | 18.4 | 364 | 14.9 | 2076 | 85.1 | |
| Divorced | 908 | 6.8 | 198 | 21.8 | 710 | 78.2 | |
| Unmarried | 1834 | 13.8 | 308 | 16.8 | 1526 | 83.2 | |
| Occupation | <.0001 | ||||||
| High-skilled white collar | 1756 | 13.2 | 215 | 12.2 | 1541 | 87.8 | |
| Low-skilled white collar | 1499 | 11.3 | 234 | 15.6 | 1265 | 84.4 | |
| High-skilled blue collar | 1528 | 11.5 | 194 | 12.7 | 1334 | 87.3 | |
| Low-skilled blue collar | 1469 | 11.1 | 193 | 13.1 | 1276 | 86.9 | |
| Others | 7017 | 52.9 | 1284 | 18.3 | 5733 | 81.7 | |
| Physical activity | 0.0265 | ||||||
| Inactive | 8932 | 67.3 | 1471 | 16.5 | 7461 | 83.5 | |
| Active | 4337 | 32.7 | 649 | 15.0 | 3688 | 85.0 | |
| Smoking status | 0.3816 | ||||||
| Never or former | 10,807 | 81.4 | 1741 | 16.1 | 9066 | 83.9 | |
| Current | 2462 | 18.6 | 379 | 15.4 | 2083 | 84.6 | |
| Alcohol consumption | 0.0023 | ||||||
| Never or former | 5289 | 39.9 | 908 | 17.2 | 4381 | 82.8 | |
| Current (within a year) | 7980 | 60.1 | 1212 | 15.2 | 6768 | 84.8 | |
| Stress level | <.0001 | ||||||
| Very | 8441 | 63.6 | 1590 | 18.8 | 6851 | 81.2 | |
| Little | 4114 | 31.0 | 451 | 11.0 | 3663 | 89.0 | |
| No | 714 | 5.4 | 79 | 11.1 | 635 | 88.9 | |
| Suicidal Thought | <.0001 | ||||||
| Yes | 7295 | 55.0 | 1472 | 20.2 | 5823 | 79.8 | |
| No | 5974 | 45.0 | 648 | 10.8 | 5326 | 89.2 | |
| Sleeping duration | 0.1173 | ||||||
| Less than 7 h | 7400 | 55.8 | 1193 | 16.1 | 6207 | 83.9 | |
| 7–8 h | 5162 | 38.9 | 797 | 15.4 | 4365 | 84.6 | |
| 9 h or over | 707 | 5.3 | 130 | 18.4 | 577 | 81.6 | |
| Perceived health status | <.0001 | ||||||
| Good | 2488 | 18.8 | 262 | 10.5 | 2226 | 89.5 | |
| Normal | 4810 | 36.2 | 687 | 14.3 | 4123 | 85.7 | |
| Bad | 5971 | 45.0 | 1171 | 19.6 | 4800 | 80.4 | |
* P-values calculated by the chi-square test
Factors associated with mental health consultation a
| Variables | Mental health consultation | |
|---|---|---|
| Adjusted OR | 95%CI | |
| Educational level - ISCED | ||
| Low | 1.00 | – |
| Medium | 1.32 | (1.09–1.60) |
| High | 1.35 | (1.12–1.63) |
| College or over | 1.49 | (1.21–1.84) |
| Age | ||
| 19–29 | 1.00 | – |
| 30–39 | 0.89 | (0.71–1.13) |
| 40–49 | 0.88 | (0.69–1.13) |
| 50–59 | 0.80 | (0.61–1.04) |
| 60–69 | 0.86 | (0.64–1.17) |
| 70≤ | 0.46 | (0.33–0.64) |
| Gender | ||
| Male | 1.00 | – |
| Female | 1.19 | (1.02–1.38) |
| Household income level | ||
| Quartile 1 (lowest) | 1.00 | – |
| Quartile 2 | 1.12 | (0.96–1.31) |
| Quartile 3 | 1.16 | (0.97–1.37) |
| Quartile 4 (highest) | 1.17 | (0.98–1.41) |
| Region | ||
| Capital(Seoul, Gyeonggi) | 1.00 | – |
| Urban | 0.98 | (0.85–1.14) |
| Rural area | 0.99 | (0.88–1.12) |
| Marital status | ||
| Married-cohabit | 1.00 | – |
| Married-no cohabit | 1.29 | (0.95–1.73) |
| Bereaved | 1.23 | (1.04–1.47) |
| Divorced | 1.32 | (1.08–1.62) |
| Unmarried | 1.12 | (0.91–1.38) |
| Occupation | ||
| High-skilled white collar | 1.00 | – |
| Low-skilled white collar | 1.08 | (0.86–1.35) |
| High-skilled blue collar | 0.92 | (0.66–1.27) |
| Low-skilled blue collar | 1.00 | (0.78–1.27) |
| Others | 1.54 | (1.28–1.86) |
| Physical activity | ||
| Inactive | 1.00 | – |
| Active | 1.13 | (0.99–1.28) |
| Smoking status | ||
| Never or former | 1.00 | – |
| Current | 0.98 | (0.83–1.15) |
| Alcohol consumption | ||
| Never or former | 1.00 | – |
| Current (within a year) | 0.81 | (0.71–0.93) |
| Stress level | ||
| Very | 1.00 | – |
| Little | 0.65 | (0.57–0.75) |
| No | 0.78 | (0.58–1.07) |
| Suicidal Thought | ||
| Yes | 2.15 | (1.89–2.43) |
| No | 1.00 | – |
| Sleeping duration | ||
| Less than 7 h | 1.00 | – |
| 7–8 h | 1.07 | (0.95–1.20) |
| 9 h or over | 1.13 | (0.91–1.41) |
| Perceived health status | ||
| Good | 1.00 | – |
| Normal | 1.31 | (1.11–1.55) |
| Bad | 1.89 | (1.58–2.26) |
a Logistic regression analysis was used to determine odds ratios (ORs) and 95% confidence intervals (CIs). A total of 13,269 participants were included in the analysis. An example of how to interpret this figure is as follows: ‘respondents who received a college or over education are more likely to receive mental health consultation for depressive symptoms (OR = 1.49; 95% CI: 1.21–1.84), compared with respondents with low educational level’
Fig. 1Subgroup analysis of mental health consultation according to educational level stratified by age. An example of how to interpret this figure is as follows: ‘compared with individuals 70 years or above in age, respondents in the 19 to 29 years old groups with college or over educational level have a greater odds ratio for mental health consultation.’ Control variables include gender, region, house income level, marital status, occupation, physical activity, smoking status, alcohol consumption, stress level, suicidal thoughts, sleeping duration, and perceived health status
Fig. 2Subgroup analysis of mental health consultation according to educational level stratified by suicidal thoughts. An example of how to interpret this figure is as follows: ‘people who have suicidal thoughts have a stronger association between educational level and use of mental health consultation.’ Control variables include age, gender, region, house income level, marital status, occupation, physical activity, smoking status, alcohol consumption, stress level, sleeping duration, and perceived health status