Low income dynamics and depression over the life course in South Korea

Kim, Yujin; Woo, Hyeyoung; Withers, Elizabeth

doi:10.1016/j.alcr.2020.100400

Cited by 4 publications

(4 citation statements)

References 29 publications

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“…We discovered that the higher the urbanization level was, the higher the risk of depression was, which may be because people living in the city have more pressure from school and work, leading to higher levels of stress [ 45 ]. In addition, studies have demonstrated that a low income has a negative effect on health, which is consistent with our research results that associate low income with a higher risk of depression [ 46 ]. Life changes caused by illness require patients or family members to adapt to new conditions, which can easily lead to anxiety and depression.…”

Section: Discussionsupporting

confidence: 93%

Association between Ultraviolet B Exposure Levels and Depression in Taiwanese Adults: A Nested Case–Control Study

Luo

Chen

Chiang

et al. 2022

IJERPH

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Depression is a common mental disorder that affects more than 264 million people worldwide. Anxiety, diabetes, Alzheimer’s disease, myocardial infarction, and cancer, among other disorders, are known to increase the risk of depression. Exposure to ultraviolet B (UVB) can cause human serotonin levels to increase. The vitamin D pathway is one mechanism through which ultraviolet light absorbed through the skin can affect mood; however, UVB exposure is known to increase the risk of cancer. In this study, we explored the effects of prolonged exposure to UVB on depression. Data were retrieved from the Taiwan National Health Insurance Research Database for 2008 to 2013. Each patient with depression was matched 1:4 with a comparison patient by sex and age (±5 years); thus, the study included 23,579 patients with depression and 94,316 healthy controls for comparison. The patients had been exposed to UVB for at least 1 year to observe the cumulative effect of UVB exposure. Based on the World Health Organization UV index, we divided the observation period data into five UV levels: low, moderate, high, very high, and extreme. A multivariate Poisson regression model was used to assess the risk of depression according to UVB exposure level, adjusting for sex, age, income, urbanization level, month, and comorbidities. The results revealed that the incidence rate ratio (IRR) for patients with depression was 0.889 for moderate levels (95% CI 0.835–0.947), 1.134 for high levels (95% CI: 1.022–1.260), 1.711 for very high levels (95% CI: 1.505–1.945), and 2.785 for extreme levels (95% CI: 2.439–3.180) when compared to low levels. Moderate levels of UVB lowered the risk of depression, while high levels of UVB gradually increased the risk. We propose that UVB at normal concentrations can effectively improve depression. However, exposure to high concentrations of UVB damage DNA results in physical diseases such as skin cancer, which increase the risk of depression.

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Section: Discussionsupporting

confidence: 93%

Association between Ultraviolet B Exposure Levels and Depression in Taiwanese Adults: A Nested Case–Control Study

Luo

Chen

Chiang

et al. 2022

IJERPH

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“…Our study revealed a worrying fact that among 425 participants, the incidence of anxiety was 22.2% ( N = 94) and depression was 20.2% ( N = 86), which were higher than previous surveys on the anxiety and depression status of pancreatic cancer patients in the United States and Australia ( 53 , 54 ), suggesting that pancreatic cancer patients in China are currently facing a higher burden of anxiety and depression and need urgent attention. Moreover, the results of mental health differences under demographic variables indicated that the anxiety and depression conditions of pancreatic cancer patients were closely related to gender, age, education, income, marital status, and cancer staging, and that men of older age with lower education, lower income, and divorced or widowed marital status may face a more severe burden of anxiety and depression, a finding similar to previous studies ( 55 , 56 ).…”

Section: Discussionsupporting

confidence: 86%

How does social media use influence the mental health of pancreatic cancer patients: a chain mediating effect of online social support and psychological resilience

Wang

Bao

Chen

2023

Front. Public Health

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BackgroundPancreatic cancer is an extremely malignant disease that poses a serious threat to the mental health of patients. Many cancer patients now use social media for online social support. However, the impact of social media on mental health is currently inconsistent in the academic community. Therefore, this study aimed to examine the mediating effects of online social support and psychological resilience in the relationship between social media use and mental health of pancreatic cancer patients.MethodsFour hundred and twenty-five valid questionnaires were collected through convenience sampling. All data were processed using SPSS 26.0 and AMOS 26.0. We examine the influence relationships among latent variables by constructing a structural equation model. Then SPSS Process Macro was used to test the chain mediating effect of the model.ResultsThe results showed that (1) anxiety situations occurred in 22.2% of participants (N = 94), while the incidence of depression was 20.2% (N = 86). (2) Social media use positively influenced online social support (β = 0.990, p < 0.001), psychological resilience (β = 0.504, p < 0.001), and mental health (β = 0.330, p < 0.001); online social support positively influenced psychological resilience (β = 0.535, p < 0.001) and mental health (β = 0.354, p < 0.001); psychological resilience significantly and positively influenced mental health (β = 0.243, p < 0.001). (3) The chain mediating effect of online social support and psychological resilience was significant at 0.253 with a confidence interval of [0.178, 0.340].ConclusionPancreatic cancer patients in China are exposed to a high burden of anxiety and depression, which requires urgent attention. Meanwhile, online social support and psychological resilience played a chain mediating role between social media use and mental health (anxiety and depression), and our results provide new insights and ways to support the mental health improvement of pancreatic cancer patients.

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“…This is triggered by the heavier burden borne by husbands in providing household support compared to wives. Kim et al, (2021) in their research states that low income will reduce an individual's or a person's welfare. Individuals who have low income tend to have more depressive symptoms compared to individuals who have high income.…”

Section: Discussionmentioning

confidence: 99%

Analysis of The Influence of Socio-Economic Status and Demographics on Depression Symptoms in Marriage

Sibarani,

Larosa,

Tarani

et al. 2024

JFS

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More than 19 million people experience mental and emotional disorders, and more than 12 million people aged over 15 years’ experience depression in Indonesia, one of which is experienced in marriage. Symptoms of depression in a marriage are influenced by demographic and socio-economic status. This research aims to analyze the possibility of depressive symptoms occurring in marriage using several variables including income level, happiness, number of children, and education. This research uses a logit model to analyze the probability of an event. The number of observations used in the research was 2,685 using data from the Indonesian Family Life Survey 5. The results of the study showed that income level had a significant negative relationship of 30.3 percent to depression in marriage. Other factors such as education can also have an influence and satisfaction in the family also has a positive impact on the quality of marital relationships. From this research, results were obtained that show factors that influence depression in marriage to reduce the probability of experiencing depression in marriage.

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Low income dynamics and depression over the life course in South Korea

Cited by 4 publications

References 29 publications

Association between Ultraviolet B Exposure Levels and Depression in Taiwanese Adults: A Nested Case–Control Study

Association between Ultraviolet B Exposure Levels and Depression in Taiwanese Adults: A Nested Case–Control Study

How does social media use influence the mental health of pancreatic cancer patients: a chain mediating effect of online social support and psychological resilience

Analysis of The Influence of Socio-Economic Status and Demographics on Depression Symptoms in Marriage

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