The Study on the Factors Affecting Depression Experiences of Local Residents in Gwangju

Yang, Yu-Jeong

doi:10.21184/jkeia.2022.6.16.4.243

Cited by 1 publication

(3 citation statements)

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“…Those who did not engage in moderate-intensity physical activity were at significantly higher risk of a diagnosis of depression. While a direct comparison is difficult, the experience of depressive mood is significantly higher among people who do not regularly walk in one community [34]. In addition, previous findings that walking on 1-2 days a week helps prevent depression in older adults [35] are in line with our findings.…”

Section: Discussionsupporting

confidence: 90%

“…In addition, the risk for diagnosis of depression was significantly higher among economically inactive individuals. Previous findings that being economically inactive is a predictor of depressive mood [34], that the prevalence of depressive mood was higher among BLSP-benefit recipients [34], and that mental health (e.g., depression) was worse with decreasing SES [19] supported our results. Moreover, the prevalence of depressive mood was 6.3% among National Health Insurance subscribers and 13.1% among Medical Aid recipients in a previous study [33], showing a relatively higher prevalence in the economically vulnerable group.…”

Section: Discussionsupporting

confidence: 89%

“…In terms of education level, people with an elementary school education or less had a significantly higher risk for depression as compared to those with a middle school or higher education, similar to previous findings that the prevalence of depressive symptoms was higher among the less-educated individuals [33]. This discrepancy may be attributable to the fact that our study data were obtained from people medically diagnosed with depression, while the study by Jung, Kim, and Seong [22] and the study by Yang [34] analyzed the experiences of depressive symptoms for 2 consecutive weeks in the past year. The PHQ-9 is a self-reporting instrument; thus, individuals' responses may be influenced by their demographic characteristics and personalities, which reduces the objectivity of the responses.…”

Section: Discussionsupporting

confidence: 85%

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Predictors of Depression among Individuals Receiving the Basic Livelihood Security Program Benefits in Korea: A Study Based on the Sixth and Seventh Korea National Health and Nutrition Examination Survey (2013–2018)

Shim

2022

IJERPH

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The purpose of this study is to verify the relationship between oral health behaviors and depression and influencing factors on depression to establish strategies that can contribute to improvement of mental health problems such as depression in vulnerable social class recipients. This study is a descriptive correlation study conducted on basic livelihood recipients over the age of 19 who responded to the 6th~7th (2013~2018) National Health and Nutrition Examination Survey. In this study, a total of 2749 people who met the criteria for subject selection were included in final analysis after requesting and downloading their raw data from the National Health and Nutrition Examination Survey through the consent process mandated by the Korea Centers for Disease Control and Prevention. Of the 2749 subjects, 279 were diagnosed with depression, accounting for 10.1% of the total. The collected data were analyzed using t-tests and chi-squared tests, and factors affecting depression were analyzed by logistic regression analysis. Our results showed that the factors affecting depression were 1.74 times for men (95% CI = 1.29–2.24), 1.37 times for older people (95% CI = 1.01–1.87), and 1.66 times for low education (95% CI = 1.21–2.27). Subjects with impairment in daily activities had 1.89 times (95% CI = 1.43–2.52) higher risk. Subjects with moderate physical activity and subjects with economic activity showed a lower risk (95% CI = 0.30–0.73) and 0.52 times (95% CI = 0.30–0.72), respectively, than subjects who did not. We confirmed that the probability of being diagnosed with depression decreased, and the perceived health status was 0.36 times lower (95% CI = 0.22–0.61) than those with good status. Therefore, it is necessary to prepare countermeasures that reflect various aspects in consideration of not only age and gender, but also daily life and emotional state when establishing policies for vulnerable classes such as recipients of basic livelihood.

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Section: Discussionsupporting

confidence: 90%