| Literature DB >> 27775257 |
Dohee Lim1, Won Kyung Lee2, Hyesook Park3.
Abstract
The purpose of this study was to estimate the national burden of mental substance disorders on medical care utilization in Korea using National Health Insurance System (NHIS) data and updated disability weight, in terms of disability-adjusted life years (DALYs). For each of the 24 disorders, the incident years lived with disability (YLDs) was calculated, using NHIS data to estimate prevalence and incidence rates. The DisMod-II software program was used to model duration and remission. The years of life lost (YLLs) due to premature death were calculated from causes of death statistics. DALYs were computed as the sum of YLDs and YLLs, and time discounting and age weighting were applied. The year examined was 2012, and the subjects were divided into 9 groups according to age. In 2012, the Korean burden of mental and substance use disorders was 945,391 DALYs. More than 98% of DALYs were from YLDs, and the burden in females was greater than that in males, though the burden in males aged less than 19 years old was greater than that in females. Unipolar depressive disorders, schizophrenia, and anxiety disorders were found to be major diseases that accounted for more than 70% of the burden, and most DALYs occurred in their 30-59. Mental and substance use disorders accounted for 6.2% of the total burden of disease and were found to be the 7th greatest burden of disease. Therefore, mental and substance use disorders need to be embraced by mainstream health care with resources commensurate with the burden.Entities:
Keywords: Burden of Disease; Disability-adjusted Life Years (DALYs); Health-related Quality of Life; Mental and Substance Use Disorders
Mesh:
Year: 2016 PMID: 27775257 PMCID: PMC5081301 DOI: 10.3346/jkms.2016.31.S2.S191
Source DB: PubMed Journal: J Korean Med Sci ISSN: 1011-8934 Impact factor: 2.153
Burden of mental and substance use disorders by gender and age groups in Korea, 2012
| Age/sex | YLL | YLD | DALY | % (YLD/DALY) | |
|---|---|---|---|---|---|
| No. (%) | No. (%) | No. (%) | Rate* | ||
| Both sex | |||||
| 0-9 | 0.0 (0.0) | 17,195 (1.9) | 17,195 (1.8) | 369.2 | 100.0 |
| 10-19 | 0.0 (0.0) | 95,371 (10.1) | 95,371 (9.9) | 1,451.1 | 100.0 |
| 20-29 | 249 (1.3) | 130,747 (14.0) | 130,996 (13.9) | 1,968.2 | 99.8 |
| 30-39 | 1,403 (8.1) | 169,877 (18.3) | 171,280 (18.1) | 2,082.2 | 99.2 |
| 40-49 | 4,753 (33.8) | 192,210 (20.7) | 196,963 (20.9) | 2,224.0 | 97.6 |
| 50-59 | 5,253 (38.7) | 166,552 (17.9) | 171,805 (18.2) | 2,253.6 | 96.9 |
| 60-69 | 1,660 (12.6) | 90,027 (9.7) | 91,688 (9.7) | 2,135.1 | 98.2 |
| 70-79 | 661 (4.9) | 58,823 (6.3) | 59,484 (6.3) | 2,068.9 | 98.9 |
| 80+ | 129 (0.7) | 10,479 (1.1) | 10,609 (1.1) | 989.2 | 98.8 |
| All ages | 14,109 (100.0) | 931,282 (100.0) | 945,391 (100.0) | 1,859.8 | 98.5 |
| Male | |||||
| 0-9 | 0 (0.0) | 12,374 (3.0) | 12,374 (3.0) | 514.4 | 100.0 |
| 10-19 | 0 (0.0) | 54,384 (13.4) | 54,384 (13.0) | 1572.3 | 100.0 |
| 20-29 | 156 (1.3) | 62,688 (15.4) | 62,844 (15.0) | 1,811.8 | 99.8 |
| 30-39 | 935 (8.1) | 71,933 (17.7) | 72,868 (17.4) | 1,737.1 | 98.7 |
| 40-49 | 3,916 (33.8) | 83,040 (20.4) | 86,956 (20.8) | 1,922.1 | 95.5 |
| 50-59 | 4,483 (38.7) | 65,171 (16.0) | 69,654 (16.7) | 1,820.7 | 93.6 |
| 60-69 | 1,454 (12.6) | 33,177 (8.2) | 34,631 (8.3) | 1,678.8 | 95.8 |
| 70-79 | 562 (4.9) | 20,248 (5.0) | 20,809 (5.0) | 1,735.2 | 97.3 |
| 80+ | 76 (0.7) | 3,119 (0.8) | 3,195 (0.8) | 1,022.8 | 97.6 |
| All ages | 11,581 (100.0) | 406,135 (100.0) | 417,716 (100.0) | 1,641.2 | 97.2 |
| Female | |||||
| 0-9 | 0 (0.0) | 4,821 (0.9) | 4,821 (0.9) | 214.1 | 100.0 |
| 10-19 | 0 (0.0) | 40,987 (7.8) | 40,987 (7.8) | 1,316.4 | 100.0 |
| 20-29 | 93 (3.7) | 68,058 (13.0) | 68,152 (12.9) | 2,138.5 | 99.9 |
| 30-39 | 467 (18.5) | 97,944 (18.7) | 98,411 (18.6) | 2,441.3 | 99.5 |
| 40-49 | 838 (33.1) | 109,170 (20.8) | 110,007 (20.8) | 2,539.2 | 99.2 |
| 50-59 | 771 (30.5) | 101,381 (19.3) | 102,151 (19.4) | 2,689.5 | 99.2 |
| 60-69 | 206 (8.2) | 56,851 (10.8) | 57,057 (10.8) | 2,556.9 | 99.6 |
| 70-79 | 99 (3.9) | 38,575 (7.3) | 38,675 (7.3) | 2,307.7 | 99.7 |
| 80+ | 53 (2.1) | 7,361 (1.4) | 7,414 (1.4) | 975.4 | 99.3 |
| All ages | 2,528 (100.0) | 525,147 (100.0) | 527,675 (100.0) | 2,079.0 | 99.5 |
*Rate of disability-adjusted life years (DALYs) per 100,000 individuals for mental and substance use disorders in 2012.
The estimated burden of mental and substance use disorders in Korea
| Mental and substance use disorders | YLL | YLD | DALY | |
|---|---|---|---|---|
| No. (%) | Rate* | |||
| Unipolar depressive disorders | 0 | 274,441 | 274,441 (29.0) | 540 |
| Major depressive disorders | 0 | 261,149 | 261,149 (27.6) | 514 |
| Dysthymia | 0 | 13,291 | 13,291 (1.4) | 26 |
| Schizophrenia | 1,229 | 207,308 | 208,537 (22.1) | 410 |
| Anxiety disorders | 0 | 200,192 | 200,192 (21.2) | 394 |
| Panic disorder | 0 | 40,647 | 40,647 (4.3) | 80 |
| Obsessive-compulsive disorder | 0 | 9,215 | 9,215 (1.0) | 18 |
| Post-traumatic stress disorder | 0 | 3,643 | 3,643 (0.4) | 7 |
| Phobic anxiety disorders, et al. | 0 | 146,687 | 146,687 (15.5) | 289 |
| Bipolar affective disorder | 0 | 55,895 | 55,895 (5.9) | 110 |
| Alcohol use disorders | 12,101 | 35,866 | 47,967 (5.1) | 94 |
| Childhood behavioral disorders | 0 | 25,037 | 25,037 (2.6) | 49 |
| Attention-deficit hyperactivity disorder | 0 | 18,236 | 18,236 (1.9) | 36 |
| Conduct disorder | 0 | 6,801 | 6,801 (0.7) | 13 |
| Idiopathic intellectual disability | 0 | 23,940 | 23,940 (2.5) | 47 |
| Pervasive development disorders | 0 | 4,307 | 4,307 (0.5) | 8 |
| Autism | 0 | 3,239 | 3,239 (0.3) | 6 |
| Asperger's syndrome | 0 | 1,068 | 1,068 (0.1) | 2 |
| Drug use disorders | 379 | 3,767 | 4,145 (0.4) | 8 |
| Opioid use disorders | 0 | 116 | 116 (0.0) | 0 |
| Cocaine use disorders | 0 | 25 | 25 (0.0) | 0 |
| Amphetamine use disorders | 0 | 173 | 173 (0.0) | 0 |
| Cannabis use disorders | 0 | 19 | 19 (0.0) | 0 |
| Sedatives or hypnotics use disorders, et al. | 379 | 3,434 | 3,813 (0.4) | 8 |
| Eating disorders | 190 | 3,369 | 3,559 (0.4) | 7 |
| Anorexia nervosa | 138 | 1,096 | 1,233 (0.1) | 2 |
| Bulimia nervosa | 0 | 922 | 922 (0.1) | 2 |
| Atypical eating disorder, et al. | 52 | 1,351 | 1,404 (0.1) | 3 |
| Borderline personality disorder | 0 | 1,111 | 1,111 (0.1) | 2 |
| Other mental and behavioral disorders | 210 | 96,051 | 96,261 (10.2) | 189 |
| Total | 14,109 | 931,282 | 945,391 (100.0) | 1,860 |
*Rate of disability-adjusted life years (DALYs) per 100,000 individuals for mental and substance use disorders in 2012.
Fig. 1Proportion of YLDs, YLLs, and DALYs explained by each mental and substance use disorder group in Korea, 2012. (A) Proportion of YLDs. (B) Proportion of YLLs. (C) Proportion of DALYs.
Fig. 2Disability-adjusted life years (DALYs) for each mental and substance use disorder in Korea, 2012, by age. (A) DALYs of each mental and substance use disorders for male. (B) DALYs of each mental and substance use disorders for female.
Fig. 3DALYs rate of mental and behavioral disorders by gender and age group in Korea.
Unit per 100,000 person (rank).