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

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 National Health and Nutrition Examination Survey (KNHANES V). Data were applied to the chi2 test and multivariate logistic 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.

A Study on Image Difference between University Hospitals and Corporation Hospitals / 예방의학회지

The objectives of this research are 1) to access different images held by three consumer groups (patients in university hospital, patients in corporation hospital, persons who are not currently visiting hospitals) on two types of hospitals(university hospitals and corporation hospitals), and 2) to investigate the personal factors affecting images of two types of hospitals. The data for this analysis were collected by questionnaire survey. A total of 403 interviews were conducted. Of these cases, 43 percent are male and 57 percent are female. The major statistical methods used for the analysis are paired t-test, factor analysis and multiple regression. The three consumer groups show a consensus that corporation hospitals are better than university hospitals in some aspects, such as kindness, facilities, and equipments. However, these groups disagree in certain images on two types of hospitals, such as popularity, credibility, and readiness for emergency. The images on two types of hospitals are varied by the respondents' sociodemographic characteristics such as age, sex, and by the type of hospital they are currently visiting.