Warning: mkdir(): Permission denied in /home/virtual/lib/view_data.php on line 81

Warning: fopen(upload/ip_log/ip_log_2024-11.txt): failed to open stream: No such file or directory in /home/virtual/lib/view_data.php on line 83

Warning: fwrite() expects parameter 1 to be resource, boolean given in /home/virtual/lib/view_data.php on line 84
Factors Associated with Self-Reported Depression, Diagnosis, and Treatment among Korean Adults

Factors Associated with Self-Reported Depression, Diagnosis, and Treatment among Korean Adults

Article information

Korean J Health Promot. 2014;14(1):9-16
Publication date (electronic) : 2014 January 20
doi : https://doi.org/10.15384/kjhp.2014.14.1.9
1Department of Health Administration, Yonsei University College of Health and Science, Wonju, Korea
2Health Management and Policy Program, College of Public Health and Human Sciences, Oregon State University, Corvallis, OR, USA
3Ministry of Health and Welfare, Sejong, Korea
4Applied Economics Graduate Program, Oregon State University, Corvallis, OR, USA
5Department of Health Service Management, Daejeon University College of Business Administration, Daejeon, Korea
■ Corresponding author:Kyung Sook Cho, PhD Health Management and Policy Program, College of Public Health and Human Sciences, Oregon State University, Waldo Hall 305, Corvallis, OR 97331, USA Tel: +1-503-851-6243, Fax: +1-541-737-4001 E-mail gabrielle@korea.kr, kyungsookcho@nate.com
Received 2014 January 11; Accepted 2014 March 17.

Abstract

Abstract

Background

We compared factors associated with self‐reported depression and, in particular, diagnosis and treatment of depressive symptoms in Korean adults.

Methods

The sample included 13,306 adults aged 19 years or older from the 2010 and 2011 Korea National2 test and multivariate lo-Health and Nutrition Examination Survey (KNHANES Ⅴ). Data were applied to the χ gistic regression analysis.

Results

The following characteristics of individuals are significantly associated with self-reported depression: female (vs. male, OR [odds ratio]=3.35), ages 50–59 years (vs. 60+, OR=1.45), economic status (low vs. high, OR=1.35; middle-low vs. high OR=1.29), unemployed (vs. employed, OR=1.23), education (elementary vs. college, OR=1.18; middle school vs. college, OR=1.27; vs. high school vs. college, OR=1.18), current smoking (vs. no, OR=1.19), high-risk alcohol consumption (vs. no, OR=1.18), perceived health (good vs. very good/excellent, OR=1.156; poor/fair vs. very good/excellent, OR=2.65), chronic disease (vs. no, OR=1.26), activity limitation due to health problems (vs. no, OR=1.74), and being in a sickbed during the past month (vs. not in a sickbed, OR=1.69). Living in a metropolitan area (vs. rural, OR=1.40) is significantly associated with greater odds of being diagnosed with depression. The odds of being treated for depression are lower for female (vs. male, OR=0.53). Greater odds of being treated for depression was seen for those with chronic conditions (vs. no, OR=1.73) and activity limitation due to health problems (vs. no, OR=2.05), as well as, those in a sickbed (vs. not, OR=1.88).

Conclusions

Applying our findings, policy makers should address the lower rates of depression diagnosed in non-metropolitan areas to reduce regional variations, and also promote treatment in females.

Self-reported depression, diagnosis, and treatment by socioeconomic characteristicsa

Self-reported depression, diagnosis, and treatment by health behaviors and health statusa

Factors related to self-reported depression, diagnosis, and treatmenta

References

1. World Health organization. Public health action for the prevention of suicide: a framework Geneva: WHO; 2012. [Accessed December 10, 2013]. http://apps.who.int/iris/bitstream/10665/75166/1/9789241503570_eng.pdf.
2. Korea Centers for Disease Control and Prevention. 2011 Korean national health and nutrition examination survey Cheongwon: KCDC; 2012. https://knhanes.cdc.go.kr/knhanes/index.do.
3. Ministry of Health and Welfare. 2011 The epidemiological survey of mental disorders in Korea Seoul: Ministry of Health and Welfare, Seoul National University; 2011. http://welfare24.tistory. com/95.
4. Kim JM, Lee JA. Depression and health status in the elderly. J Korean Gerontological Society 2010;30(4):1311–27.
5. Chiang HH, Livneh H, Yen ML, Li TC, Tsai TY. Prevalence and correlates of depression among chronic kidney disease patients in Taiwan. BMC Nephrol 2013;14:78.
6. Centers for Disease Control and Prevention. Mental illness surveillance among adults in the United States. MMWR (Morbidity and Mortality Weekly Report 2011;60(3):1–31. [Accessed December 10, 2013]. http://www.cdc.gov/mmwr/preview/mmwrhtml/su6003a1htm?s_cid=su6003a1_w.
7. Kim YJ. Comparison of health habits, perceived stress, depression, and suicidal thinking by gender between elders living alone and those living with others. J Korean Acad Fundam Nurs 2009;16(3):333–44.
8. Grammatikopoulos L, Koutentakis C. Social activity and participation as determinants of anxiety and depression among elderly in primary care. Annals of General Psychiatry 2010;9(Suppl 1):S137.
9. Al-Nsour M, Zindah M, Belbeisi A, Rolle IV, Walke H, Strine T, et al. Frequent mental distress, chronic conditions, and adverse health behaviors in the behavioral risk factor surveillance survey, Jordan, 2007. Prev Chronic Dis 2013;10:130030.
10. Kim RB, Park KS, Lee JH, Kim BJ, Chun JH. Factors related to depression symptom and the influence of depression symptom on self-rated health status, outpatient health service utilization and quality of life. Korean Journal of Health Education and Promotion 2011;28(1):81–92.
11. Yoon J, Bernell SL. The role of adverse physical health events on the utilization of mental health services. Health Serv Res 2013;48(1):175–94.
12. Wells KB, Sherbourne CD. Functioning and utility for current health of patients with depression or chronic medical conditions in managed, primary care practices. Arch Gen Psychiatry 1999;56(10):897–904.
13. Hirschfeld RA, Montgomery SA, Keller MB, Kasper S, Schatzberg AF, Möller HJ, et al. Social functioning in depression: a review. J Clin Psychiatry 2000;61(4):268–75.
14. Spitzer RL, Kroenke K, Linzer M, Hahn SR, Williams JW, deGruy III FV, et al. Health-related quality of life in primary care patients with mental disorders: results from the PRIME-MD 1000 study. JAMA 1995;274(19):1511–7.
15. Wells KB, Stewart A, Hays RD, Burnam MA, Rogers W, Daniels M, et al. The functioning and wellbeing of depressed patients: results from the medical outcomes study. JAMA 1989;262(7):914–9.
16. Ministry of Health and Welfare. 2001 The Epidemiological survey of mental disorders in Korea Seoul: Ministry of Health and Welfare, Seoul National Hospital; 2002. http://stat.mw.go.kr/front/statData/publicationView.jsp?menuId=47&bbsSeq=13&nttSeq=235&searchKey=&searchWord=&nPage=13.
17. Regier DA, Narrow WE, Rae DS, Manderscheid RW, Locke BZ, Goodwin FK. The de facto US mental and addictive disorders service system: epidemiologic catchment area prospective 1-year prevalence rates of disorders and services. Arch Gen Psychiatry 1993;50(2):85–94.
18. Kessler RC, Zhao S, Katz SJ, Kouzis AC, Frank RG, Edlund M, et al. Past-year use of outpatient services for psychiatric problems in the national comorbidity survey. Am J Psychiatry 1999;156(1):115–23.
19. Narrow WE, Regier DA, Rae DS, Manderscheid RW, Locke BZ. Use of services by persons with mental and addictive disorders: findings from the national institute of mental health epidemiologic catchment area program. Arch Gen Psychiatry 1993;50(2):95–107.
20. USDHHS. Mental Health: a report of the Surgeon General Washington, DC:United States Department of Health and Human Services, Centers for Disease Control and Prevention, Office of the Surgeon General;1999. [Accessed December 10, 2013]. http://www.surgeongeneral.gov/library/mentalhealth/home.html.
21. Olfson M, Marcus SC, Tedeschi M, Wan GJ. Continuity of antidepressant treatment for adults with depression in the United States. Am J Psychiatry 2006;163(1):101–8.
22. Lee KU, Kim W, Min KJ, Shin YC, Chung SK, Bahk WM. The rate and risk factors of early discontinuation of antidepressant treatment in patients with major depressive disorder. Korean J Psychopharmacol 2006;17(6):550–6.
23. Chung JW, YL Oh, Chea HL, Yoon SM, Choi JH, Whang DS. Mental health resources in Korea Seoul: Ministry of Health and Welfare, Korea Institute for Health and Social Affairs; 2012. https://www.kihasa.re.kr/html/jsp/publication/policy/list. jsp?key=title&ryear_value=2014&query=%C1%A4% BD%C5.
24. Zuckerbrot RA, Jensen PS. Improving recognition of adolescent depression in primary care. Arch Pediatr Adolesc Med 2006;160(7):694–704.
25. Cepoiu M, McCusker J, Cole MG, Sewitch M, Belzile E, Ciampi A. Recognition of depression by non-psychiatric physicians-a systematic literature review and metaanalysis. J Gen Intern Med 2008;23(1):25–36.
26. World Health Organization. Mental Health Atlas 2011 Geneva: WHO; 2011. [Accessed December 10, 2013]. http://whqlibdoc.who.int/publications/2011/9799241564359_eng.pdf.

Article information Continued

Table 1.

Self-reported depression, diagnosis, and treatment by socioeconomic characteristicsa

Variables Self-reported depression (n=13,306) Diagnosis of depression (n=1,863) Treatment of depression (n=501)
No Yes Pb No Yes Pb No Yes Pb
Gender                  
 Male 4,876 (92.8) 378 (7.2) <0.001 289 (76.5) 89 (23.5) 0.056 56 (62.9) 33 (37.1) 0.069
 Female 5,538 (78.8) 1,485 (21.2)   1,073 (72.3) 412 (27.7)   295 (71.6) 117 (28.4)  
Age, y
 19–29 1,290 (89.4) 153 (10.6) <0.001 108 (70.6) 45 (29.4) 0.034 38 (84.4) 7 (15.6) 0.150
 30–39 2,044 (87.1) 303 (12.9)   237 (78.2) 66 (21.8)   50 (75.8) 16 (24.2)  
 40–49 1,947 (88.0) 266 (12.0)   205 (77.1) 61 (22.9)   41 (67.2) 20 (32.8)  
 50–59 1,922 (81.6) 433 (18.4)   299 (69.1) 134 (30.9)   90 (67.2) 44 (32.8)  
 60+ 3,211 (81.9) 708 (18.1)   513 (72.5) 195 (27.5)   132 (67.7) 63 (32.3)  
Residential area                  
 Metropolitan
 Small & medium-sized
4,795 (85.3)
3,657 (84.8)
824 (14.7)
657 (15.2)
0.179
585 (71.0)
487 (74.1)
239 (29.0)
170 (25.9)
0.153
162 (67.8)
129 (75.9)
77 (32.2)
41 (24.1)
0.111
 Rural 1,962 (83.7) 382 (16.3)   290 (75.9) 92 (24.1)   60 (65.2) 32 (34.8)  
Economic status                  
 Low 1,922 (78.8) 518 (21.2) <0.001 376 (72.6) 142 (27.4) 0.600 89 (62.7) 53 (37.3) 0.057
 Middle-low 2,607 (83.5) 514 (16.5)   378 (73.5) 136 (26.5)   95 (69.9) 41 (30.1)  
 Middle-high
 High
2,908 (87.0)
2,862 (88.1)
432 (12.9)
385 (11.9)
  326 (75.5)
275 (71.4)
106 (24.5)
110 (28.6)
  77 (72.6)
86 (78.2)
29 (27.4)
24 (21.8)
 
Education                  
 Elementary school and under 2,862 (88.1) 385 (11.9) <0.001 489 (70.0) 210 (30.0) 0.065 137 (65.2) 73 (34.8) 0.046
 Middle school 1,111 (82.5) 236 (17.5)   173 (73.0) 63 (27.0)   40 (63.5) 23 (36.5)  
 High school 3,519 (86.5) 549 (13.5)   406 (74.0) 143 (26.0)   108 (75.5) 35 (24.5)  
 College and over 3,313 (89.8) 376 (10.2)   291 (77.4) 85 (22.6)   66 (77.6) 19 (22.4)  
Occupation                  
 Unemployed 3,996 (80.0) 1,007 (20.0) <0.001 721 (71.6) 286 (28.4) 0.067 191 (66.8) 95 (33.2) 0.040
 Employed 6,412 (88.3) 853 (11.7)   638 (74.8) 215 (25.2)   160 (74.4) 55 (25.6)  
Living with others                  
 Living alone 670 (80.0) 168 (20.0) <0.001 127 (75.6) 41 (24.4) 0.253 26 (63.4) 15 (36.6) 0.212
 Not alone 9,740 (85.2) 1,695 (14.8)   1,235 (72.9) 460 (27.1)   325 (70.7) 135 (29.3)  
BMI, kg/m2                  
 <18.5 477 (84.6) 87 (15.4) 0.970 64 (73.6) 23 (26.4) 0.140 20 (87.0) 3 (13.0) 0.175
 18.5–25 6,582 (84.7) 1,187 (15.3)   884 (74.5) 303 (25.5)   212 (70.0) 91 (30.0)  
 >25 3,276 (84.9) 584 (15.1)   409 (70.0) 175 (30.0)   119 (68.0) 56 (32.0)  

Abbreviation: BMI, body mass index.

a

Values are presented as N (%).

b

Calculated by chi-square test.

Table 2.

Self-reported depression, diagnosis, and treatment by health behaviors and health statusa

Variables Self-reported depression Diagnosis of depression (n= =1,863) Treatment of depression (n=501)
No Yes Pb No Yes Pb No Yes Pb
Health behaviors                  
 Currently smoking                  
  No 8,106 (83.6) 1,587 (16.4) <0.001 1,151 (72.5) 436 (27.5) 0.088 313 (71.8) 123 (28.2) 0.045
  Yes 2,284 (89.4) 270 (10.6)   207 (76.7) 63 (23.3)   38 (60.3) 25 (39.7)  
 High-risk alcohol use                  
  No 5,274 (82.0) 1,156 (18.0) <0.001 835 (72.2) 321 (27.8) 0.154 220 (68.5) 101 (31.5) 0.186
  Yes 5,128 (87.9) 706 (12.1)   526 (74.5) 180 (25.5)   131 (72.8) 49 (27.2)  
 Physical activities                  
  No 5,459 (84.5) 1,005 (15.5) 0.103 731 (72.7) 274 (27.3) 0.376 191 (69.7) 83 (30.3) 0.405
  Yes 4,922 (85.3) 849 (14.7)   624 (73.5) 225 (26.5)   160 (71.1) 65 (28.9)  
Health status                  
 Perceived health                  
  Excellent/Very good 3,868 (91.4) 364 (8.6) <0.001 284 (78.0) 80 (22.0) 0.034 68 (85.0) 12 (15.0) <0.001
  Good 4,823 (86.0) 788 (14.0)   576 (73.1) 212 (26.9)   155 (73.1) 57 (26.9)  
  Poor/Fair 1,723 (70.8) 711 (29.2)   502 (70.6) 209 (29.4)   128 (61.2) 81 (38.8)  
 Chronic disease                  
  No 6,863 (87.9) 943 (12.1) <0.001 705 (74.8) 238 (25.2) 0.057 186 (78.2) 52 (21.8) <0.001
  Yes 3,550 (79.4) 920 (20.6)   657 (71.4) 263 (28.6)   165 (62.7) 98 (37.3)  
 Activity limitation                  
  No 9,428 (87.0) 1,411 (13.0) <0.001 1,049 (74.3) 362 (26.7) 0.019 278 (76.8) 84 (23.2) <0.001
  Yes 984 (68.6) 451 (31.4)   312 (69.2) 139 (30.8)   73 (52.5) 66 (47.5)  
 Sickbed                  
  No 9,692 (86.4) 1,525 (13.6) <0.001 1,130 (74.1) 395 (25.9) 0.028 292 (73.9) 103 (26.1) <0.001
  Yes 720 (68.2) 336 (31.8)   231 (68.8) 105 (31.2)   59 (56.2) 46 (43.8)  
a

Values are presented as N (%).

b

Calculated by chi-square test.

Table 3.

Factors related to self-reported depression, diagnosis, and treatmenta

Variables   OR
Self-reported depression (n=13,306) Diagnosis of depression (n=1,863) Treatment of depression (n=501)
Socioeconomic characteristics        
 Gender (ref: Male)   3.35b 1.25 0.53b
 Age (ref: 60+) 19–29 0.92 1.36 0.96
  30–39 40–49 1.23 1.11 0.88 0.92 1.40 1.87
  50–59 1.45b 1.25 1.41
 Residential area (ref: Rural) Metropolitan 1.11 1.40c 1.13
  Small & medium-sized 1.14 1.22 0.70
 Economic status (ref: High) Low 1.35d 0.84 1.39
  Middle-low 1.29d 0.85 1.26
  Middle-high 1.09 0.80 1.36
 Occupation (ref: Employed)   1.23d 1.08 1.24
 Education (ref: College) Elementary school 1.26c 1.48 1.31
  Middle school 1.27c 1.21 1.28
  High school 1.18c 1.19 0.85
 Living with others (ref: No)
BMI (ref: Under weight)
Normal 1.22
1.04
1.22
0.93
1.23
2.41
  Overweight and obesity 0.93 1.14 2.09
Health behaviors        
 Currently smoking (ref: No)   1.19c NA NA
 High-risk alcohol use (ref: No)   1.18d NA NA
 Physical activities (ref: Yes)   0.91 NA NA
Health status
 Perceived health
 (ref: Excellent/Very good)
Good
Poor/Fair
1.52b
2.65b
1.28
1.28
2.06
2.00
 Chronic disease (ref: No)   1.26b 0.98 1.73c
Activity limitation (ref: No)   1.74b 1.16 2.05d
Sickbed (ref: No)   1.69b 1.22 1.88c

Abbreviations: OR, odds ratio; ref, reference; BMI, body mass index; NA, not available.

a

Assessed by multivariate logistic regression analysis.

b

P<0.001.

c

P<0.05.

d

P<0.01.